Saturday, May 17, 2025

Açık Kaynak Büyük Dil Modellerinin Stratejik Gücü: Yerel Olarak Model Çalıştıran Askeri ve Sivil Kurumlar İçin Yetenekler, Kullanım Alanları ve Gelecek Perspektifi

Açık Kaynak LLM’lerin Stratejik Gücü: Yerel Model Kullanımıyla Askeri ve Sivil Kurumlar İçin Yetenekler, Kullanım Alanları ve Gelecek Perspektifi

🧭 Neden Açık Kaynak?

Açık kaynak büyük dil modelleri (LLM’ler), mimarileri ve ağırlıkları kamuya açık olan yapay zeka sistemleridir. Bu sayede geliştirme, ince ayar (fine-tuning) ve dağıtım işlemleri serbestçe yapılabilir. Açık kaynak yazılım hareketinden ilham alarak ortaya çıkan bu modeller, ortak bilgi birikimi, şeffaflık ve iş birliğine dayalı inovasyonun avantajlarını taşımaktadır.

Yazılım geliştirme ilk başladığında, geliştiriciler çalışmalarından para kazanmak istiyordu. Zamanla kapalı kaynak sistemler ortaya çıktı ama bu sistemler bazı riskleri de beraberinde getirdi. Örneğin, kapalı kaynaklı yazılımlarda arka kapılar veya güvenlik açıkları kamu denetimi olmadan istismar edilebilir. Açık kaynak yazılımlar –ve artık açık LLM’ler– bu riski ortadan kaldırır. Herkes kodu inceleyebilir, hataları tespit edebilir ve düzeltmelere katkı sağlayabilir. Böylece daha sağlıklı ve güvenli bir ekosistem oluşur.

LLM’ler de bu durumdan farklı değil. DeepSeek, Meta veya Google Gemma gibi açık modeller sayesinde araştırmacılar mimari ve eğitim tekniklerini öğrenebilir. Bu kolektif ilerleme herkesin yararınadır. Örneğin, DeepSeek’in akıl yürütmeyi geliştirmeye yönelik pekiştirmeli öğrenme yaklaşımı açık kaynak topluluğunda hızla benimsendi.

Murat Karakaya Akademi’de sıkça gelen bir soru:
🗣️ “Açık kaynak LLM’ler, veri gizliliği ve yerel AI kullanımı öncelikli alanlarda –örneğin milli savunma veya kamu kurumlarında– pratik olarak kullanılabilir mi?”

Bu yazıda açık kaynak LLM’lerin tam potansiyeli, askeri ve sivil sektörlerdeki uygulamaları ve çeşitli kullanım senaryoları için donanım ihtiyaçları ele alınmaktadır.

Eğer isterseniz bu içeriği Murat Karaka Akademi Youtube knalımdan seyredebilirsiniz:

✅ Veri Gizliliğine Duyarlı Kurumlar İçin Açık Kaynak LLM’lerin Avantajları

💰 Maliyet Etkinliği ve Erişilebilirlik

Açık kaynak LLM’ler genellikle ücretsiz veya düşük maliyetlidir. Bu sayede sivil ve askeri kurumlar, büyük bütçelere ihtiyaç duymadan yapay zeka kapasitesi oluşturabilir. Bu modeller kurum içi sistemlere indirilebilir ve internete bağlı olmadan (ör. intranet üzerinden) çalıştırılabilir.

OpenAI ya da Gemini gibi dış servis sağlayıcılarına erişimi olmayan ya da veri gizliliği nedeniyle güvenmeyen kurumlar bu modelleri yerel olarak kullanabilir. Örneğin, Türk Silahlı Kuvvetleri, milli güvenlik ajansları veya savunma sanayii firmaları bu modelleri yerel altyapılarında güvenli şekilde dağıtabilir.

🔍 Özelleştirilebilirlik ve Şeffaflık

Kapalı sistemlerde model mimarisi veya eğitim süreci hakkında bilgi edinmek mümkün değildir. Açık kaynak modeller ise tam belgeleri, eğitim veri referansları ve uygulama ayrıntıları ile birlikte gelir. Kurumlar, bu modelleri kendi özel veri kümeleriyle eğitebilir –verileri üçüncü taraf bulutlara yüklemeye gerek kalmadan.

Linux dağıtımlarında olduğu gibi, LLM’ler de belirli alanlara özel şekilde özelleştirilebilir:

  • Hukuk danışmanlığı (ör. hukuk büroları)

  • Otomotiv güvenliği (ör. TOGG)

  • Enerji altyapısı takibi (ör. internet bağlantısı olmadan)

🛡️ Yerel Dağıtım ve Veri Güvenliği

LLM’lerin yerel olarak çalıştırılması, gizli veya hassas verilerin tam kontrolünü sağlar. Ulusal savunma, istihbarat veya kolluk kuvvetleri gibi alanlarda internete çıkış sadece tercih değil, zorunluluktur. Açık modeller, ağırlıkların indirilmesinden çıkarım (inference) ayarlarına kadar tam yığın dağıtım imkânı sunar.

NATO gibi global kurumlar bile internetsiz (air-gapped) sistemler kullanmaktadır. Açık LLM’ler, bu tür ortamlara en güncel yapay zekayı güvenle entegre etme fırsatı sunar.

🌐 Topluluk Tabanlı İnovasyon

Dünyanın dört bir yanındaki geliştiriciler Hugging Face ve GitHub gibi platformlarda açık modelleri geliştirmeye katkı sağlıyor. Hata düzeltmelerinden eklenti geliştirmeye kadar, ekosistem canlı ve üretken. Örneğin Open WebUI, LM Studio veya Ollama gibi topluluk tarafından geliştirilen arayüzler yerel modellerle kullanıcı dostu etkileşim sunar.

🔗 Tedarik Zinciri Bağımsızlığı

Kapalı kaynak API’lere güvenmek, fiyatlandırma, lisans ve hizmet devamlılığı gibi dış etkenlere bağımlılığı artırır. Sağlayıcı değiştirmek zaman ve maliyet ister. Açık modeller bu bağımlılığı ortadan kaldırır ve uzun vadeli sürdürülebilirlik sunar.

🚀 Hızlı Uyarlama

Açık kaynak LLM’lerdeki araştırmalar ve gelişmeler topluluk içinde hızla yayılır. DeepSeek’in çoklu tekniklerle yaptığı ince ayar çalışmaları, LLaMA 3 ve Qwen gibi yeni modelleri etkilemiştir. Yayınlanan makaleler ve paylaşılan kodlar sayesinde, yüksek lisans öğrencileri bile ileri seviye AI tekniklerini deneyebilir.

🛠️ Alan Odaklı İnce Ayar (Fine-Tuning)

Açık LLM’ler savunma veya kamuya yönelik özel alanlarda şu şekilde uyarlanabilir:

  • Stratejik metin analizi

  • İstihbarat raporu özetleme

  • Hukuki veya idari belge işleme

  • Kurum içi sistemler için doğal dil arayüzleri

Bu ince ayar işlemleri tamamen kurum içi sistemlerde gerçekleştirilebilir. Belgeleri dışa yüklemeye gerek yoktur. Hukuk ofisleri, askeri birimler veya AR-GE departmanları, modelleri kendi iş akışlarına göre özelleştirebilir.

🎓 Eğitim ve Simülasyon

Askeri eğitim simülasyonlarında ve kamu hizmeti eğitimlerinde, durumsal farkındalık ve dil becerileri kazandırmak için kullanılabilir.

🌍 Çok Dilli Yetenekler

Farklı dilleri desteklemeleri sayesinde çok kültürlü topluluklara hizmet etmek ve uluslararası iş birliklerine katkı sağlamak mümkündür. Qwen, Gemma ve DeepSeek gibi modeller artık Türkçe dahil 120’den fazla dili desteklemektedir.

⚖️ Açık vs Kapalı Modeller

ArtificialAnalysis.ai sitesinde yayımlanan karşılaştırmaya göre:

  • Açık modellerin performansı, kapalı modellere yaklaşmaktadır.

  • Özelleştirme ve güvenli dağıtımda açık modeller öne çıkmaktadır.

  • Veri kontrolü ve entegrasyon esnekliği isteyen kurumlar için idealdir.

🔍 Örnek Kullanım: Açık Kaynak ile İstihbarat ve Belge Analizi

Görev: “Yunanistan'ın hangi ülkelerden askeri teçhizat aldığını, ürün ve maliyet detaylarıyla listele.”

Açık kaynaklı bir model, belge ve görsel analiz araçlarıyla entegre şekilde:

  • Alım verilerini çıkarabilir

  • Bilgiyi özetleyebilir

  • Eğilim ve içgörü oluşturabilir

Aynı yöntem, hukuk uyumu izleme veya bütçe analizi gibi sivil alanlarda da geçerlidir.


🖼️ Görsel ve İmge Tabanlı Zeka

LLM’lerin görüntü tanıma ile birleşmesi sayesinde:

  • Uydu görüntüsü analizi

  • Altyapı takibi

  • Ekipman sınıflandırması yapılabilir.

Bu kullanım alanları hem askeri keşif hem de şehir planlama veya afet yönetimi gibi sivil alanlara hizmet eder.

🔐 Riskler ve Güvenlik Önlemleri

⚠️ Halüsinasyon ve Bilgi Kirliliği

Yanlış veya uydurma çıktılar üretebilir.
🛡️ Çözüm: Zeminleme (grounding) ve doğrulama katmanları eklenmeli.

⚠️ Kötüye Kullanım ve Siber Güvenlik

Gereken önlemler alınmazsa kötüye kullanılabilir.
🛡️ Çözüm: İzole çalışma ortamları ve sıkı erişim politikaları uygulanmalı.

📊 Model Büyüklüğüne Göre Donanım Gereksinimleri

Model BüyüklüğüGerekli VRAMTipik GPU’larNotlar
1.5B4–6 GBGiriş seviyesiFP16/BF16 ile çalışır
7B/8B8–12 GBRTX 3080+Kuantizasyon VRAM’i azaltır
13B/14B12–16 GBÜst düzey GPU
32B16–24 GBRTX 4090, A6000
70B32–48 GBÇoklu GPU veya profesyonel sistemler

👉 Kullanım Önerisi:

  • 7B altındaki modeller, 8–12 GB VRAM’li GPU’larda bireysel geliştiriciler tarafından kullanılabilir.

  • 13B/14B modeller, orta düzey yerel kurumlar için RTX 4090 ile uygundur.

  • Sürekli iş yükü veya hassas görevler için 32B+ modeller önerilir.

🖥️ GPU Fiyat ve Kapasite (USD Tahmini)

GPU ModeliFiyatVRAMDesteklenen ModellerNotlar
RTX 3080$480–70010GBLLaMA 2 7B, Mistral 7BUygun maliyetli
RTX 4090$1,300–1,80024GBLLaMA 2 70B (quantized)Yaygın ve güçlü
A6000$3,000–4,00048GBClaude 3 Opus (quant.), LLaMA 3Kurumsal seviye
H100$16,500–26,00080GBGPT-4, Claude 3 OpusVeri merkezi için

👉 Kullanım Önerisi:

  • Pilot çalışmalar için RTX 3080/3090 yeterli olabilir.

  • Gerçek zamanlı performans isteyen kamu kurumları RTX 4090 veya A6000 tercih etmeli.

  • Yüksek kapasiteli kamu sistemleri için H100 idealdir.

📈 Kullanıcı Sayısına Göre GPU İhtiyacı

KullanıcıGPU SayısıToken Üretim HızıNot
1–51 H1002–5 token/snKişisel/küçük ekip
20–254 H10010–15 token/snOrta ölçekli kurum
75–10016–20 H10025–30 token/snBüyük kurum
300–40064–80 H10070–100 token/snUlusal düzey kullanım

Verimlilik Artırıcı Faktörler:

  • Kuantizasyon eşzamanlı kullanıcı sayısını artırır.

  • Uzun bağlam pencereleri ek hafıza gerektirir.

  • Toplu (batch) ve spekülatif çıkarım, verimliliği büyük ölçüde artırır.

🧭 Kurumlar İçin Aşamalı Geçiş Yol Haritası

1️⃣ İhtiyaç Analizi ve Hedef Belirleme (1-2 ay)
2️⃣ Minimum Altyapı (2-3 ay) – 2–4 GPU ile 20–30 kullanıcı testi
3️⃣ Operasyonel İyileştirme (3-4 ay) – Kuantizasyon ve kullanıcı geri bildirimi
4️⃣ Kontrollü Ölçekleme (4-6 ay) – 70B+ model testi ve kullanıcı sayısını artırma
5️⃣ Tam Dağıtım (6+ ay) – MLOps otomasyonu ve tüm birimlere genişletme

Yararları:

  • Maliyet-etkin ölçeklenme

  • Kurumsal bilgi transferi

  • Kullanıcı ihtiyaçlarına sürekli uyum

  • Yüksek benimseme oranı ve direnç

🌟 Gelecek Vizyonu ve Sonuç

Açık kaynak LLM’ler, robotik, siber güvenlik ve alan bazlı iş akışlarıyla entegre edildiğinde:

  • Daha akıllı otonom sistemler

  • Sivil teknoloji egemenliği

  • Yerel yapay zeka ile daha düşük risk sağlar.

🎯 Eylem Çağrısı: Tüm kamu ve özel kurumlar açık kaynak LLM’leri incelemeye, pilotlar oluşturmaya ve ortak geliştirme süreçlerine katılmaya davetlidir.

📺 YouTube Kanalı: Murat Karakaya Akademi

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The Strategic Power of Open-Source LLMs: Capabilities, Use Cases, and Future Outlook for Military and Civil Institutions Running Models Locally

  The Strategic Power of Open-Source LLMs: Capabilities, Use Cases, and Future Outlook for Military and Civil Institutions Running Models Locally

🧭 Why Open Source?

Open-source large language models (LLMs) are AI systems with publicly available architectures and weights, enabling unrestricted development, fine-tuning, and deployment. Initially inspired by the open-source software movement, these models carry forward the benefits of shared knowledge, transparency, and collaborative innovation.

When software was first developed, programmers wanted to monetize their work. Over time, proprietary systems emerged, but also created hidden risks. For instance, backdoors or vulnerabilities in closed-source software can be exploited without public oversight. In contrast, open-source software—and now open LLMs—offer full visibility. Anyone can examine the code, detect bugs, and contribute to fixes, creating a healthier, safer ecosystem.

LLMs are no exception. Open models like those from DeepSeek, Meta, or Google Gemma allow researchers to learn from published architectures and training techniques. This collective advancement benefits everyone. For example, DeepSeek’s reinforcement learning approach to improve reasoning has been rapidly adopted across the open-source community.

At "Murat Karakaya Akademi," a frequent question is: 🗣️ "Are open-source LLMs practical for use in domains like national defense or civil institutions that prioritize data protection and on-premises AI deployment?"

This post explores the full potential of open LLMs, including their applications in both military and civilian sectors and the hardware requirements for various deployment scenarios.

✅ Advantages of Open-Source LLMs for Privacy-Sensitive Institutions

💰 Cost Efficiency and Accessibility

Open-source LLMs are typically free or low-cost, enabling civil and military institutions to build AI capabilities without extensive budgets. Importantly, these models can be downloaded and run on internal systems (e.g., intranets), allowing full control and isolation from the internet.

Institutions that cannot or do not want to rely on external services like OpenAI or Gemini—due to either data privacy concerns or lack of access—can leverage these models locally. For example, the Turkish Armed Forces, national security agencies, or defense contractors can use local infrastructure to safely deploy LLMs.

🔍 Customizability and Transparency

Closed systems rarely allow insights into model architecture or training methods. Open-source models, on the other hand, come with complete documentation, training data references, and implementation details. Researchers and institutions can fine-tune these models on proprietary datasets without exposing data to third-party clouds.

As with Linux distributions, LLMs can be customized for specialized domains, such as:

  • Legal advisory (law firms)

  • Automotive security (e.g., TOGG)

  • Energy infrastructure monitoring (e.g., avoiding public internet exposure)

🛡️ Local Deployment and Data Security

Running LLMs on-premises ensures full control over sensitive or classified information. In settings like national defense, intelligence, or law enforcement, avoiding internet access is not just preferred but mandatory. Open models allow full-stack deployment, from downloading weights to inference tuning.

Even global institutions like NATO use air-gapped systems that prohibit internet access. Open LLMs offer a rare opportunity to bring cutting-edge AI into these environments without compromising security.

🌐 Community-Driven Innovation

Thousands of developers worldwide contribute to improving open-source models through platforms like Hugging Face and GitHub. From error fixing to plugin creation, the ecosystem is thriving. For example, community-driven LLM UIs like Open WebUI, LM Studio, or Ollama provide user-friendly ways to interact with local models.

🔗 Supply Chain Independence

Relying on proprietary APIs means being locked into pricing tiers, service reliability, and licensing constraints. Switching providers can be time-consuming and costly. Open-source models offer vendor independence and long-term sustainability.

🚀 Fast Adaptation

Research findings from open LLM contributors quickly propagate across the community. Innovations like DeepSeek’s multi-technique fine-tuning have already influenced new models like LLaMA 3 and Qwen. Through published papers and shared code, even graduate students can experiment with and extend top-tier AI techniques.

🛠️ Domain-Specific Fine-Tuning

Open LLMs can be fine-tuned for defense or civil use cases, such as:

  • Strategic text analysis

  • Intelligence or report summarization

  • Legal or administrative document processing

  • Natural language interfaces for internal systems

Fine-tuning can be done entirely within internal systems, without uploading sensitive documents. Legal offices, military departments, or corporate R&D teams can customize models for their specific workflows.

🎓 Training and Simulation

Used in both military training simulations and civil service education scenarios to build situational awareness and language proficiency.

🌍 Multilingual Capabilities

Support for diverse languages helps organizations serve multicultural communities and international partnerships. Models like Qwen, Gemma, and DeepSeek now support 120+ languages, including Turkish.



⚖️ Open vs. Closed Models

A comparison published on ArtificialAnalysis.ai shows:

  • Open models are approaching closed models in performance.

  • Open models excel in customization and secure deployment.

  • Ideal for institutions with concerns over data control and integration flexibility.



🔍 Sample Use Case: Open Source for Intelligence and Document Analysis

Example task: "List countries from which Greece bought military equipment, specifying items and cost."

An open-source model integrated with document and image analysis tools can:

  • Extract relevant procurement data

  • Summarize information

  • Generate insights and trends

This approach is applicable in civil domains too, such as legal compliance monitoring or budget analysis.

See it on YouTube



🖼️ Visual and Image Intelligence

Combining LLMs with image recognition allows:

  • Satellite imagery analysis

  • Infrastructure monitoring

  • Equipment classification

These use cases serve both military reconnaissance and civilian applications like urban planning or disaster management.

🔐 Risks and Security Measures

⚠️ Hallucination & Misinformation

LLMs may generate incorrect or fabricated responses. 🛡️ Mitigation: Use grounding and validation layers.

⚠️ Misuse & Cybersecurity

Open models can be exploited if not securely managed. 🛡️ Mitigation: Isolated execution environments and strict access policies.

📊 Hardware Requirements Based on Model Size

Model SizeVRAM RequirementTypical GPUsNotes
1.5B4-6 GBEntry GPUsWorks with FP16/BF16
7B/8B8-12 GBRTX 3080+Quantization reduces VRAM
13B/14B12-16 GBHigh-end consumer GPUs
32B16-24 GBRTX 4090, A6000
70B32-48 GBMulti-GPU or Pro setup

👉 Usage Commentary:

  • Individual developers or civil servants in R&D can utilize models under 7B with 8-12GB VRAM.

  • Local agencies or SMEs with moderate LLM use cases can adopt 13B/14B models on RTX 4090.

  • For continuous workloads or high-stakes environments, 32B+ models with 32–48GB VRAM or multi-GPU systems are recommended.

🖥️ GPU Price vs. Capability (Estimated in USD)

GPU ModelPrice (USD)VRAMModels SupportedNotes
RTX 3080$480 - $70010GBLLaMA 2 7B, Mistral 7BStill cost-effective for local inference
RTX 4090$1,300 - $1,80024GBLLaMA 2 70B (quantized), Mistral LPowerful and widely available consumer GPU
A6000$3,000 - $4,00048GBClaude 3 Opus (quantized), LLaMA 3Ideal for enterprise-grade local inference
H100$16,500 - $26,00080GBGPT-4, Claude 3 Opus, Gemini UltraDesigned for data centers and high-load AI inference

👉 Usage Commentary:

  • Solo developers and institutions piloting LLMs can start with RTX 3080 or 3090.

  • Civil tech departments needing real-time performance should consider RTX 4090 or A6000.

  • H100-class GPUs are best suited for high-load, sensitive deployments in government or enterprise data centers.

📈 Scaling: GPU Needs by Concurrent Users

UsersGPU CountToken Output SpeedNotes
1-51 H1002-5 tokens/secSmall team or personal research
20-254 H10010-15 tokens/secIdeal for municipal or mid-sized enterprise use
75-10016-20 H10025-30 tokens/secLarge institution with steady usage
300-40064-80 H10070-100 tokens/secNational-scale deployment

👉 Usage Commentary:

  • For pilot projects or individual users, a single H100 or similar high-end GPU suffices.

  • Mid-sized departments can operate efficiently on a 4-GPU setup.

  • Enterprises and agencies serving hundreds of users will need robust multi-GPU clusters.

Efficiency Factors:

  • Quantization helps boost concurrent capacity.

  • Long context windows require additional memory.

  • Batch and speculative decoding significantly improve throughput.

🧭 Roadmap for Gradual Institutional Adoption

1️⃣ Needs Analysis & Target Setting (1-2 months)

  • Define goals for civil or defense applications

  • Choose pilot units

  • Set measurable KPIs

2️⃣ Minimum Viable Infrastructure (2-3 months)

  • Deploy 2–4 GPUs

  • Allow 20–30 test users

  • Use 7B/13B models for testing

3️⃣ Operational Enhancement (3-4 months)

  • Apply quantization

  • Gather user feedback

  • Optimize latency and model responsiveness

4️⃣ Controlled Scaling (4-6 months)

  • Add more GPUs

  • Expand usage to 100–200 users

  • Test with 70B+ models

5️⃣ Full-Scale Deployment (6+ months)

  • Adopt multi-site infrastructure

  • Automate with MLOps pipelines

  • Extend access across all relevant units

Benefits of This Approach

  • Cost-effective scaling

  • Knowledge transfer within teams

  • Continuous alignment with user needs

  • Higher adoption success and resilience

🌟 Future Vision and Conclusion

Open-source LLMs—when integrated with robotics, cybersecurity, and domain-specific workflows—enable:

  • Smarter autonomous systems

  • Civil tech sovereignty

  • Lower risk through localized AI

🎯 Call to Action: All public and private institutions are encouraged to explore open-source LLMs, build pilots, and engage in collaborative development.

🔗 YouTube Channel: https://www.youtube.com/@MuratKarakayaAkademi

Follow "Murat Karakaya Akademi" for practical tutorials, case studies, and deployment strategies tailored for secure, local AI adoption.

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Friday, May 2, 2025

Who is Prof. Dr. Murat Karakaya?

Prof. Dr. Murat Karakaya
CV

Murat KARAKAYA
Prof. Dr.
TED University           
Dept. of Software Engineering                                                       
Ziya Gökalp Caddesi No: 47 - 48
06420, Kolej, Çankaya / ANKARA TURKEY                                                
May 1, 2025    

Official Home Page             : http://www.atilim.edu.tr/~murat.karakaya
YouTube Channel               : https://www.youtube.com/c/muratkarakayaakademi
GitHub Pages                       : https://kmkarakaya.github.io/Deep-Learning-Tutorials/
Personal Blog                       : https://murat.karakaya.net/
Google Scholar Index         : https://scholar.google.com.tr/citations?user=FA4fcxoAAAAJ&hl=en
Web of Science                    : https://publons.com/researcher/2679520/murat-karakaya/
Scopus                                  : https://www.scopus.com/authid/detail.uri?authorId=16637174900
LinkedIn                                : https://tr.linkedin.com/in/muratkarakaya

RESEARCH INTERESTS
I am passionate about applying cutting-edge Machine Learning, Deep Learning, and Natural Computing algorithms to address challenging problems in the domains of Natural Language Processing, Large Language Models, Image Processing, and Optimization.

EDUCATION

·         Postdoctoral Research, Computer Engineering:

§  Research Topic: Interactions and Network Structures in Social Networks,

§  Advisor: Hakan FERHATOSMANOGLU,

§  Dept. of Computer Science and Engineering, Ohio State University, USA, April 2011.

 

·         Ph.D., Computer Engineering:

§  Thesis Title: Counteracting Free Riding in Pure Peer-To-Peer Networks,

§  Thesis Advisor: Ozgur ULUSOY, Co-Advisor: Ibrahim KORPEOGLU,

§  Dept.of Computer Engineering, Bilkent University, Ankara, Turkey, March 2008,

§  GPA: 4.00/4.00.

 

·         M.S., Computer Engineering:                

§  Thesis Title: An Efficient Broadcast Scheduling Algorithm for Pull-Based Mobile Environments,

§  Thesis Advisor: Ozgur ULUSOY,

§  Dept. of Computer Engineering, Bilkent University, Ankara, Turkey, August 2000,

§  GPA: 3.85/4.00.

 

·         M.S., Management and Organization: 

§  Thesis Title: Information Systems with regard to Individual and Organizational Productivity,

§  Thesis Advisor: Dursun BINGOL,

§  Institute of Social Sciences, Atatürk University, Erzurum, Turkey, December 1997,

§  GPA: 78/100.

 

·         ADP Diploma, Computer Engineering:

§  Department of Computer Engineering, Middle East Technical University, Ankara, Turkey, September 1996,

§  GPA: 3.80/4.00.

·         B.S., Electrical & Electronics Engineering:

§  Department of Electrical & Electronics Engineering, Turkish Military Academy, Ankara, Turkey, August 1991,

§  GPA: 3.60/4.00.

 

ACADEMIC EXPERIENCE

 

·         Professor, Dept. of Software Engineering, TED University, Ankara, Turkey, 2023 – current.

·         Professor, Dept. of Computer Engineering, Atılım University, Ankara, Turkey, 2022 – 2023.

·         Associated Professor, Dept. of Computer Engineering, Atılım University, Ankara, Turkey, 2017 – 2022.

·         Assistant Professor, Dept. of Computer Engineering, Atılım University, Ankara, Turkey, 2012 – 2017.

·         Part Time Instructor, Dept. of Computer Engineering, Middle East Technical University (METU), Ankara, Turkey, 2012 - Present.

·         Instructor, Dept. of Computer Engineering, Turkish Military Academy (KHO), Ankara, Turkey, 2011 - 2012.

·         Instructor, Dept. of System & Management, Turkish Military Academy, Ankara, Turkey, 2009 - 2011.

·         Instructor, Dept. of Computer Engineering, Turkish Land Forces CIS Academy, Ankara, Turkey, 2008 - 2009.

·         Instructor, Dept. of System & Management, Georgian Military Academy, Tbilisi, Georgia, 2003.

·         Instructor, Dept. of Technical Sciences, Turkish Military Academy, Ankara, Turkey, 2000 - 2002.

 

WORK EXPERIENCE

 

·         Chief of Software Project Office, Turkish Land Forces CIS Academy, Ankara, Turkey, 2008 - 2009.

·         Chief of IS Projects Branch, NATO CIS Services Agency HQ, Mons, Belgium, 2005 - 2008.

·         Chief of Software Development Branch, Turkish Military Academy, Ankara, Turkey, 2004 - 2005.

·         Software Engineer, Turkish Military Academy, Ankara, Turkey, 2002 - 2004.

·         IS Project Manager, Turkish Land Forces HQ, Ankara, Turkey, 1997 - 1998.

 

 

LANGUAGES

·           Turkish (native)

·           English (fluent) KPDS Grade A (95/100)

·           French (Intermediate) KPDS Grade B (82/100)

·           Italian (Beginner)

 

 

PATENTS

1.    Murat KARAKAYA, Gökhan Şengül, "Temassız Ve Kablosuz Konumlandırma, Takip Ve Kontrol Sistemi (A Wireless Localization, Monitor and Control System)", Başvuru numarası (Application No.): 2015/10603

2.    Murat KARAKAYA, Gökhan Şengül, "Yıkılan Binalarda Mahsur Kalan İnsanların Konumunu Ve Sayisini Tahmin Ve Yayma Sistemi (A System for Estimating and Spreading the Position and Number of People Trapped in Collapsed Buildings)", Başvuru numarası (Application No.): 2017/19842, (PENDING).

 

PROJECT CONSULTING

1.    Turkcell Global Bilgi A.Ş, “Developing Digital Assistants Using Open Source Large Language Models”, In-house Project, 01.03.2024 - 01.09.2024.

2.    32BİT Bilgisayar Hizmetleri Sanayi Ve Ticaret Limited Şirketi, “Deep Learning Based Recommendation Engine”, TÜBİTAK 1507, 01.04.2024 - 01.09.2025.

3.    Ziraat Katılım A.Ş., “Purchasing a Corporate Virtual Assistant System”, In-house Project, 01.09.2024 - 31.12.2024.

4.    Stock Fikri Mülkiyet Hizmetleri A.Ş., “Improving Workflows with Language Models and RAG System Integration”, In-house Project, 01.10.2024 - 31.10.2024.

5.    İdea Teknoloji Çözümleri, “Fine-tuning LLMs for RAG Applications”, In-house Project, 01.02.2025 - 28.02.2025

 

INVITED TALKS / KEYNOTES

1.    Üretken Yapay Zekâ Çağı ve Belediye Hizmetleri Ulusal Konferansı, Gemlik Belediye Başkanlığı, Gemlik, Türkiye, 22 Mayıs 2025.

2.    An Introduction to AI and Large Language Models: Concepts, Parameters, and Real-World Applications, OSTİM Teknik Üniversitesi, Ankara, Turkey, 11 March 2025.

3.    Impact of AI on National Security: Risks and Opportunities, Yapay Zeka, Toplum ve Güvenlik Çalıştayı, Millî İstihbarat Akademisi, Ankara, Turkey, 11 December 2024

4.    AI Integration in Software Development: Current Trends and Future Insights, 9th International Conference on Computer Science and Engineering UBMK 2024, Antalya, Turkey, 27 Oct. 2024.

5.    AI for NGOs: From Basics to Applications, InspiredbyUS 2024, TAD ConnectUSA Amerikan Corner Ankara, Ankara, Turkey, 26 May 2024.

6.    Akıllı Şehirler için Üretken Yapay Zekâ Uygulamaları, Akıllı Ve Güvenli Kentler için

Üretken Yapay Zekâ Uygulamaları Ulusal Konferansı 2024, Ankara, Turkey, 24 Oct. 2024.

7.    RAG (Retrieval Augmented Generation) ile Büyük Dil Modellerinin Etkin Kullanılması: Belgelerinizle Sohbet Edin, Üretken Yapay Zeka Uygulamaları Ulusal Konferansı 2023, Ankara, Turkey, 12 Dec. 2023.

8.    ChatGPT: Impact on Education, 8th International Conference on Computer Science and Engineering UBMK 2023, Burdur, Turkey, 15 Sept. 2023.

9.    Large Language Models: Today and Future, Atılım University, Ankara, Turkey, 30 July 2023.

10.  ChatGPT: For Education and Research, Atılım University, Ankara, Turkey,19 June 2023.

11.  A Genetic Algrotihm for Maximizing Target Coverage of Unmanned Aerial Vehicle Carried on a Mobile Platform, University of Malta, Sliema, Malta, 3-7 April 2017.

12.  An Introduction to Knowledge Discovery in Databases, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2015.

13.  Ethics in Information Technologies, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2015.

14.  An Introduction to Databases, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2014.

15.  Ethics in Information Technologies, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2014.

16.  Knowledge Discovery in Databases, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2013.

17.  Knowledge Discovery in Databases, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2012.

18.  Knowledge Discovery in Databases, Turkish Partnership for Peace (PfP) Training Center, Ankara, Turkey, 2011.

19.  NATO CIS Services, NATO CIS School, Latina, Italy, 2005 – 2008.

20.  Peer-to-Peer Networks: Free Riding, and Counter-Mechanisms, Department of Computer Engineering, Bilkent University, Ankara, Turkey, 2004.

21.  ARG: A Tool for Automatic Report Generation, Electrical and Electronics Engineering Department, Istanbul University, Istanbul, Turkey, 2003.

 

 

 

JOURNAL PUBLICATIONS indexed by SCI / SCI-E

 

1.      Halil Savuran, Murat Karakaya, A novel solution for routing a swarm of drones operated on a mobile host, Engineering Applications of Artificial Intelligence, Vol. 138, Parts A, pp - , December 2024. [PDF] [DOI] [ONLINE] ISSN: 0952-1976

2.      Gökhan Şengül, Murat Karakaya, Sanjay Misra, Oluvsola O. Abayomi-Alli, Robertas Damaševičiusa, Deep learning based fall detection using smartwatches for healthcare applications, Biomedical Signal Processing and Control. 15(3), 036509 (2021), DOI: https://doi.org/10.1016/j.bspc.2021.103242.[PDF] [DOI] ISSN: 1746-8094

3.      Tolga Üstünkök, Murat Karakaya, SS-MLA: a semisupervised method for multi-label annotation of remotely sensed images, J. Appl. Remote Sens. 15(3), 036509 (2021), DOI: 10.1117/1.JRS.15.036509.[PDF] [DOI] ISSN: 1931-3195

4.      Murat Karakaya, Meltem Eryilmaz, Ulaş Ozan Ceyhan, Analyzing students' Academic Success in Prerequisite Course Chains: A Case Study in Turkey, International Journal of Engineering Education, Vol. 34, Issue 2 (A), pp 364–370, April 2018. [PDF] [DOI] ISSN: 0949-149X

5.      Halil Savuran, Murat Karakaya, Efficient Route Planning for an Unmanned Air Vehicle Deployed on a Moving Carrier, Soft Computing, Vol. 20, Issue 7, pp 2905-2920, ISSN: 1432-7643, July 2016

6.      Murat Karakaya, MSCT: An Efficient Data Collection Heuristic for Wireless Sensor Networks with Limited Sensor Memory Capacity, KSII Transactions on Internet and Information Systems, Vol.9, No.9, p. 3396-3411, 2015

7.      Murat Karakaya, Time-Sensitive Ant Colony Optimization to Schedule a Mobile Sink for Data Collection in Wireless Sensor Networks, The Ad Hoc & Sensor Wireless Networks, Vol.28, No.1-2, p. 65-82, 2015.

8.    Murat Karakaya, Deadline-Aware Energy-Efficient Query Scheduling in Wireless Sensor Networks with Mobile Sink, The Scientific World Journal, Vol. 2013, Article ID 834653, 10 pages, 2013. doi:10.1155/2013/834653. (ISSN: 1537-744X)

9.    Murat Karakaya, Ibrahim Korpeoglu, Ozgur Ulusoy, Free Riding in Peer-to-Peer Networks, IEEE Internet Computing, Vol. 13, No. 2, pages 92-98, March/April 2009. (ISSN: 1089-7801)

10.  Murat Karakaya, Ibrahim Korpeoglu, Ozgur Ulusoy, Counteracting Free Riding in Peer-To-Peer Networks, Computer Networks, Vol. 52, No. 3, pp 675-694, Elsevier, February, 2008. (ISSN:1389-1286)

11.  Murat Karakaya, Ibrahim Korpeoglu, Ozgur Ulusoy, A Connection Management Protocol for Promoting Cooperation in Peer-to-Peer Networks, Computer Communications, Vol. 31, No. 2, pp 240-256, Elsevier, February 2008. (ISSN:0140-3664)

12.  D. Katsaros, A. Nanopoulos, M. Karakaya, G. Yavas, O. Ulusoy, Y. Manolopoulos, Clustering Mobile Trajectories for Resource Allocation in Mobile Environments, Intelligent Data Analysis Conference (IDA'2003), Lecture Notes in Computer Science (Springer Verlag), vol.2810, 2003. (ISSN:0302-9743)

 

 

 

JOURNAL PUBLICATIONS indexed by other sources

 

1.      Erhan Gokcay, Murat Karakaya Karakaya, Gokhan Sengul, Optimal Number of Clusters, International journal of scientific research in information systems and engineering (IJSRISE), Vol. 4, No. 1, 81-86, ISSN 2380-8128, June 2018

2.      Atila Bostan, Murat Karakaya, Gökhan Şengül, Chaos-Based Data Encryption Using Arnold’s Cat Map, International journal of scientific research in information systems and engineering (IJSRISE), Vol. 4, No. 1, 25-30, ISSN 2380-8128, June 2018

3.      Meltem Eryilmaz, Murat Karakaya, Harmanlanmış Öğrenme Ortamlarında Sosyal Medya Kullanımının Öğrenci Doyumu Üzerine Etkisi (The Impact of Using Social Media in Blended Learning Environments on Student Satisfaction), Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, Vol. 15, No. 1, 106-129, ISSN:1305-020, Ocak 2018

4.      Atila Bostan, Murat Karakaya, Gokhan Şengul, Biometric Verification on e-ID-Card Secure Access Devices: A Case Study on Turkish National e-ID Card Secure Access Device Specifications, International Journal of Information Security Science (IJISS), Vol. 6, No. 4, 87-92, ISSN: 2147-0030, December 2017

5.      Gokhan Sengul, Murat Karakaya, Atila Bostan, A Smart Classroom Application: Monitoring and Reporting Attendance Automatically Using Smart Devices, International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), Vol. 3, No. 1, 39-43, ISSN: 2380-8128, Apr. 2017.

6.    Atila Bostan, Gökhan Şengül, Murat Karakaya, Unidirectional Data Transfer: A Secure System to Push the Data from a High Security Network to A Lower One Over an Actual Air-Gap, International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), Vol. 3, No. 1, 35-38, ISSN: 2380-8128, Apr. 2017.

7.    Gokhan Sengul, Murat Karakaya, Atila Bostan, Determination and Identification of Dangerously Lane Changing Vehicles in Traffic by Image Processing Techniques, International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), Vol. 3, No. 1, 44-47, ISSN: 2380-8128, Apr. 2017. 

8.    Gokhan Sengul, Murat Karakaya, Atila Bostan, Remotely Monitoring Activities of the Elders Using Smart Watches, International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), Vol. 3, No. 1, 56-60, ISSN: 2380-8128, Apr. 2017.

9.    Murat Karakaya, Ender Sevinç, An Efficient Genetic Algorithm for Routing Multiple UAVs under Flight Range and Service Time Window Constraints, International Journal of Informatics Technologies, Vol. 10, No.1, 113-121, DOI: http://dx.doi.org/10.17671/btd.15848, ISSN: 2147-0715, Jan. 2017

10.  Murat Karakaya, Gokhan Şengul, Atila Bostan, A Wireless Control System Based on Smart Bluetooth and Ibeacon Technology for Auditing the Patrols, International Journal of Scientific Research in Information Systems and Engineering, Vol. 2, No. 3, 8-11, ISSN: 2380-8128, Dec. 2016.

11.  Murat Karakaya, Atila Bostan, Erhan Gökçay, How Secure is Your Smart Watch?  International Journal of Information Security Science, Vol. 5, No. 4, 90-95, ISSN: 2147-0030, Dec. 2016.

12.  Hazan Daglayan, Murat Karakaya, An Optimized Ambulance Dispatching Solution for Rescuing Injures After Disaster, Universal Journal of Engineering Science, Vol. 4, No. 3, 50-57, DOI: http://dx.doi.org/10.13189/ujes.2016.040303,ISSN: 2331-6624, Sep. 2016.

13.  Murat Karakaya, Gökhan Şengül, Using Bluetooth Low Energy Beacons for Indoor Localization, International Journal of Intelligent Systems and Applications in Engineering, Accepted, Sep. 2016. 

14.  Hazan Daglayan, Murat Karakaya, The Impact of Crossover and Mutation Operators on a GA Solution for the Capacitated Vehicle Routing Problem, Universal Journal of Engineering Science, Vol. 4, No. 3, 39-44, ISSN: 2331-6624, DOI: http://dx.doi.org/10.13189/ujes.2016.040301, Sep. 2016.

15.  Atila Bostan, Murat Karakaya, Öğrenci Ders Devamının Sınavlarda Alınan Notlara Etkisi Üzerine Bir Durum Çalışması (A Case Study on Impact of Student Course-Attendance on Exam Grades), Mersin Üniversitesi Eğitim Fakültesi Dergisi, Vol. 12, No. 1, 211-222, DOI: http://dx.doi.org/10.17860/efd.87593, e-ISSN: 1306-7850, Nisan 2016.

16.  Murat Karakaya, Mobile Sink Scheduling Method for Wireless Sensor Networks under Travel Time Uncertainty, Journal of Advances in Computer Networks, Vol. 3, No. 4, 326-329, ISSN: 1793-8244, Dec. 2015. 

17.  Murat Karakaya, RSRP: Risk Sensitive Routing Protocol in Wireless Sensor Networks, Girne American University Journal of Social and Applied Sciences, Vol. 7, No. 11, 68-75, ISSN: 1305-9130, Sep. 2015.

18.  Murat Karakaya, Gokhan Sengul, Using Service Oriented Architecture for Plate Recognition by Mobile Devices, Girne American University Journal of Social and Applied Sciences, Vol. 7, No. 11, 76-81, ISSN: 1305-9130, Sep. 2015.

19.  Murat Karakaya, Gokhan Sengul, Determining Firm Logos Using Image Processing Techniques on a Mobile Device to Aid Blind People, Girne American University Journal of Social and Applied Sciences, Vol. 7, No. 11, 83-88, ISSN: 1305-9130, Sep. 2015.

20.  Ibrahim Cereci, Hazan Daglayan, Nergiz Kılınc, Senem Aktaş, Murat Karakaya, Efficient Data Gathering in WSN with a Range Constrained Mobile Relay, Girne American University Journal of Social and Applied Sciences, Vol. 7, No. 11, 89-95, ISSN: 1305-9130, Sep. 2015.

21.  Halil Savuran, Murat Karakaya, Route Optimization Methods for Unmanned Air Vehicle Launched from a Carrier, Lecture Notes on Software Engineering, Vol. 3, No. 4, 279-284, ISSN: 2301-3559, Nov. 2015.

22.  Ender Sevinc, Murat Karakaya, Maximizing UAV Target Coverage under Flight Range and Target Service Time Constraints, Lecture Notes on Software Engineering, Vol. 3, No. 4, 290-294, ISSN: 2301-3559, Nov. 2015.

23.  Murat Karakaya, A Local Optimization Technique for Assigning New Targets to the Planned Routes of Unmanned Aerial Vehicles, The Balkan Journal of Electrical & Computer Engineering (BAJECE), Vol.2, No.2, ISSN: 2147-284X, June 2014.

24.  Murat Karakaya, UAV Route Planning for Maximum Target Coverage, Computer Science & Engineering: An International Journal (CSEIJ), Vol. 4, No. 1, February 2014. (ISSN: 2231 - 329X)

25.  Murat KARAKAYA, Özgür ULUSOY, İbrahim KÖRPEOĞLU, A General Purpose Simulator for Unstructured P2P Networks and a Sample Application, Journal of Defense Sciences, Turkish Military Academy, Vol. 8, No. 2, Nov 2009.

26.  Murat Karakaya and H. Altay Guvenir, ARG: A Tool for Automatic Report Generation, Istanbul University - Journal of Electrical & Electronics Engineering, Vol. 4, No. 2, (2004), pp. 1101-1109. (ISSN:1303-0914)

 

 

 

CONFERENCE PUBLICATIONS

 

1.    Cansen Çağlayan, Murat Karakaya, Multi-Topic Controllable Text Generation with Keywords, 2023 the 5th International Conference on Research in Engineering, Technology and Science (ICRETS), Budapest, Hungary,  July 06 - 09, 2023

2.    M. Karakaya, Derin Öğrenme ile Otomatik Olarak Üretilen Resim Alt Yazısındaki Hataların Tespiti (Detecting Errors in Automatic Image Captioning by Deep Learning), 2021 6st International Informatics and Software Engineering Conference (UBYMK), Ankara,Turkey,  46-49, Sept, 2021. 

3.    Cansen Çağlayan, Murat Karakaya, Topic-Controlled Text Generation, 2021 6st International Informatics and Software Engineering Conference (UBYMK) , Ankara,Turkey,  533-536, 15-17 Sept, 2021.

4.    Tolga Üstünkök, Murat Karakaya, Effect of PSO Tuned P, PD, and PID Controllers on the Stability of a Quadrotor, 2019 4st International Informatics and Software Engineering Conference (UBYMK), Ankara,Turkey,  139-144, November, 2019. 

5.    Tolga Üstünkök, Ozan Acar, Murat Karakaya, Image Tag Refinement with Self Organizing Maps, 2019 4st International Informatics and Software Engineering Conference (UBYMK) Ankara,Turkey,  348-353, November, 2019.

6.    G. Tirkes, C. C. Aydin, G. Sengul, A. Bostan, M. Karakaya, An Undergraduate Curriculum for Deep Learning, International Conference on Computer Science and Engineering (UBMK’18), Sarajevo, Bosnia Herzegovina, 604-609, 20th -23th September, 2018. 

7.    A. Bostan, G. Sengul, G. Tirkes, C. C. Aydin, M. Karakaya, Deep Learning and Current Trends in Machine Learning, International Conference on Computer Science and Engineering (UBMK’18), Sarajevo, Bosnia Herzegovina, 543-546, 20th -23th September, 2018.

8.    Murat Karakaya, Recent Developments in Computer Vision for Finding Available Parking Lots, 322nd International Conference on Communication and Signal Processing (ICCSP), Phuket, Thailand, 9th -10th February, 2018.

9.    Fatih Can Akıncı, Murat Karakaya, Araç Park Yerlerinin Doluluk Durumlarının Derin Öğrenme Yöntemi ile Tespit Edilmesi (Parking Space Occupancy Detection Using DeepLearning Methods), 26th Signal Processing and Communications Applications Conference (SIU), 2-5 Mayıs 2018.

10.  Murat Karakaya, Çiğdem Turhan, Ali Yazıcı, Yazılım Mühendisliği Eğitiminde Ders Öğrenme Çıktılarının Ölçümlenmesi Üzerine Bir Durum Çalışması (A Case Study on Measuring Course Learning Outcomes in Software Engineering Education), 11. Ulusal Yazılım Muhendisliği Sempozyumu (UYMS'17), p. 312 - 320, 18-20 Ekim 2017.

11.  Fatih Can Akıncı, Murat Karakaya, Şehirlerin Dijital Dönüşümü: Görüntü İşleme Yöntemlerinin Boş Park Yerlerinin Tespitinde Kullanılması (Digital Transformation of Cities: Using Image Processing Methods to Identify Empty Parking Lots), TBD 34. Ulusal Bilişim Kurultayı (BİLİŞİM 2017), p. 69-72, 20-21 Aralık 2017.

12.  Erhan Gökçay, Murat Karakaya, Gokhan Şengul, Optimal Number of Clusters,The  Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), Girne American University, Girne, North Cyprus, 1-3 Nov. 2017.

13.  Atila Bostan, Murat Karakaya, Gokhan Şengul, Chaos-Based Data Encryption Using Arnold’s CAT Map, The Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), Girne American University, Girne, North Cyprus, 1-3 Nov. 2017. 

14.  Murat Karakaya, Meltem Eryilmaz, Atila Bostan, Predicting Student Success according to Online Activities in a Blended Course using Artificial Neural Networks, The Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), Girne American University, Girne, North Cyprus, 1-3 Nov. 2017.

15.  Murat Karakaya, Atila Bostan, Gokhan Şengul, Extending Lifetime of the Selected Sensor Nodes in Wireless Sensor Networks, The Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017),Girne American University, Girne, North Cyprus, 1-3 Nov. 2017.

16.  Atila Bostan, Murat Karakaya, Gokhan Şengul, Biometric Verification on e-ID-Card Secure Access Devices: A Case Study on Turkish National e-ID Card Secure Access Device Specifications, 10th International Conference on Information Security and Cryptology (ISCTURKEY 2017), Ankara, Turkey, Oct 20 - 21, 2017

17.  Murat Paşa Uysal, Murat Karakaya    Ontology-Supported Enterprise Architecture Analysis, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, Ukraine, May 29 – June 2, 2017.

18.  Murat Karakaya, Gokhan Şengul,  Erhan Gökçay    An IoT Application for Locating Victims Aftermath of an Earthquake, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, Ukraine, May 29 – June 2, 2017.

19.  Gokhan Şengul, Atila Bostan, Murat Karakaya A Smart Classroom Application: Monitoring and Reporting Attandency Automatically Using Smart Devices, The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), Girne American University, North Cyprus, 2-4 Nov. 2016.

20.  Gokhan Şengul, Atila Bostan, Murat Karakaya Determination and Identification of Dangerously Lane Switching Vehicles in Traffic by Image Processing Techniques, The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), Girne American University, North Cyprus, 2-4 Nov. 2016.

21.  Atila Bostan, Gokhan Şengul, Murat Karakaya   Unidirectional Data Tranfer: A Secure System to Push the Data from A High Security Network to A Lower One Over an Actual Air-Gap, The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), Girne American University, North Cyprus, 2-4 Nov. 2016.

22.  Murat Karakaya, Gokhan Şengul,  Atila Bostan    A Wireless Control System Based on Smart Bluetooth and Ibeacon Technology for Auditing the Patrols, The  Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), Girne American University, North Cyprus, 2-4 Nov. 2016.

23.  Murat Karakaya, Gokhan Şengul, Atila Bostan    Remotely Monitoring Activities of the Elders Using Smart Watches, The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), Girne American University, North Cyprus, 2-4 Nov. 2016. 

24.  Murat Karakaya, Ali Yazıcı,   Yazılım Mühendisliği Alanında Yayımlanan Tez ve Makalelerin SWEBOK a göre Değerlendirilmesi ve Yazılım Mühendisliği Eğitimi ve Projelerinin İyileştirilmesi için Öneriler,  10. Ulusal Yazılım Muhendisliği Sempozyumu (UYMS'16), 24-26 Ekim 2016.

25.  Atila Bostan, Murat Karakaya, Erhan Gökçay, Encouraging User-Trust to Internet-of-Things Implementations, 9th International Conference on Information Security and Cryptology (ISCTURKEY 2016), Ankara, Turkey, Oct 25 to 26, 2016.

26.  Murat Karakaya, Atila Bostan, Erhan Gökçay, How Secure is Your Smart Watch? 9th International Conference on Information Security and Cryptology (ISCTURKEY 2016), Ankara, Turkey, Oct 25 to 26, 2016.

27.  Atila Bostan, Murat Karakaya, Erhan Gökçay, Meeting the Requirements of MÜDEK Program Outcomes Item 5 in Computer Engineering Programs,International Conference on Computer Science and Engineering (UBMK 2016),Tekirdağ, Turkey, Oct 20 to 23, 2016.

28.  Erhan Gökçay, Murat Karakaya, Atila Bostan, A new Skeletonization Algorithm for Data Processing in Cloud Computing, International Conference on Computer Science and Engineering (UBMK 2016), Tekirdağ, Turkey, Oct 20 to 23, 2016.

29.  Erhan Gökçay, Murat Karakaya, Atila Bostan, An Information Theoretic Approach to Edge Detection, International Conference on Computer Science and Engineering (UBMK 2016), Tekirdağ, Turkey, Oct 20 to 23, 2016.

30.  Murat Karakaya, Atila Bostan, Erhan Gökçay, Prediction of Student Success Considering Attendancy and Midterm Grades, International Conference on Computer Science and Engineering (UBMK 2016), Tekirdağ, Turkey, Oct 20 to 23, 2016.

31.  Murat Karakaya, Ender Sevinc, Planning Multiple UAVs to Visit Points of Interest Considering Flight Range and Service Time Constraints, The 2nd International Conference on Engineering and Natural Sciences (ICENS 2016), Sarajevo, Bosnia and Herzegovina, May 24 to 28, 2016.

32.  Ulaş Ozan Ceyhan, Murat Karakaya, Investigating Students Success On Prerequisite Chain Courses, The 2nd International Conference on Engineering and Natural Sciences (ICENS 2016), Sarajevo, Bosnia and Herzegovina, May 24 to 28, 2016.

33.  Murat Karakaya, Mobile Sink Scheduling Method for Wireless Sensor Networks under Travel Time Uncertainty, The 2nd International Conference on Network Technologies (ICNT 2015), Dubai, UAE, October 17-18, 2015. 

34.  Senem Aktas, Nergiz Kilinc, Hazan Daglayan, Ibrahim Cereci, Murat Karakaya, UAV Route Planing for Avoidıng Enemy Radars, The 1st International Conference on Engineering and Natural Sciences (ICENS 2015), p. 161, Skopje, Macedonia, 15-19 May 2015.

35.  Nergiz Kilinc, Ibrahim Cereci, Hazan Daglayan, Senem Aktas, Murat Karakaya, A Genetic Algorithm for Safe and Rapid Transmission of Military Vehicles in a Minefield, The 1st International Conference on Engineering and Natural Sciences (ICENS 2015), p. 139, Skopje, Macedonia, 15-19 May 2015. 

36.  Hazan Daglayan, Nergiz Kilinc, Senem Aktas, Ibrahim Cereci, Murat Karakaya, Efficient Routing of Ambulances Aftermath of a Disaster, The 1st International Conference on Engineering and Natural Sciences (ICENS 2015), Skopje, Macedonia, p.145, 15-19 May 2015.

37.   Murat Karakaya, Atila Bostan, Yazılım Mühendisliği Eğitiminde Bitirme Projesinin Yürütülmesinde İki Farklı Yöntemin Öğrenci Bakış Açısıyla Değerlendirilmesi, 9. Ulusal Yazılım Muhendisliği Sempozyumu (UYMS'15), 9-11 Eylul 2015. 

38.  Gokhan Şengul, Murat Karakaya, A Service Oriented Architecture to Recognize Car Plates by Mobile Devices, The Second International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2014), Girne American University, North Cyprus, 5-7 Nov. 2014.

39.  Murat Karakaya, Gokhan Şengul, Determining firm logos using image processing techniques on a mobile device to aid blind people, The Second International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2014), Girne American University, North Cyprus, 5-7 Nov. 2014.

40.  Murat Karakaya, RSRP: Risk Sensitive Routing Protocol in Wireless Sensor Networks, The Second International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2014), Girne American University, North Cyprus, 5-7 Nov. 2014.  

41.  Ibrahim Cereci1, Hazan Daglayan, Nergiz Kılınc, Senem Aktaş, Murat Karakaya, Efficient Data Gathering in WSN with a Range Constrained Mobile Relay, The Second International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2014) Girne American University, North Cyprus, 5-7 Nov. 2014.

42.  Halil Savuran, Murat Karakaya, Route Optimization Methods for Unmanned Air Vehicle Launched from a Carrier, 4th International Conference on Computer and Software Modeling (ICCSM 2014), Bangkok, Thailand, 2014.

43.  Ender Sevinc, Murat Karakaya, Maximizing UAV Target Coverage under Flight Range and Target Service Time Constraints, 4th International Conference on Computer and Software Modeling (ICCSM 2014), Bangkok, Thailand, 2014.

44.  H. Savuran, H. Demirel, M. Karakaya, Gemiye Konuşlu İnsansız Hava Aracının Hedeflere Rotalanmasının Optimizasyonu, 7. Savunma Teknolojileri Kongresi (SAVTEK-2014),  Haziran 2014.

45.  H. Demirel, H. Savuran, M. Karakaya, İnsansız Hava Aracları İcin Radar Kaplama Alanlarından Kacınacak En Kısa Rotanın Hesaplanması, 7. Savunma Teknolojileri Kongresi (SAVTEK-2014), Haziran 2014.

46.  Murat Karakaya, A Local Optimization Technique for Assigning New Targets to the Planned Routes of Unmanned Aerial Vehicles, The First International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2013), 06-09 Novermber 2013, Kyrenia, Turkish Republic of North Cyprus.

47.  Murat Karakaya, UAV Route Planning for Maximum Target Coverage, The First International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2013), Girne American University, North Cyprus, 2013. 

48.  M. Karakaya, A. Bostan, Yazılım Muhendisliği Eğitiminde Bitirme Projesi Dersinin Oğrenci Bakış Acısıyla Değerlendirilmesi (in Turkish), 7. Ulusal Yazılım Muhendisliği Sempozyumu (UYMS'13), Eylul 2013.

49.  M. Karakaya, En Az Sayıda İnsansız Hava Aracı Kullanarak Sabit Hedeflerin Gozetlenmesinin Planlanması (in Turkish), 15. Otomatik Kontrol Ulusal Toplantısı ve Sergisi (TOK2013), Eylul 2013.

50.  Murat Karakaya, Modeling A Sensor Network Providing Road Security and Testing Its Feasibility via Simulations (in Turkish), The Fourth National Conference on Defense Applications, Modeling and Simulation (USMOS), 14-15 June 2011, Ankara, Turkey.

51.  Murat Karakaya, Ibrahim Korpeoglu, Ozgur Ulusoy, A Distributed and Measurement-Based Framework Against Free Riding in Peer-to-Peer Networks, The Fourth IEEE International Conference on Peer-to-Peer Computing, 25-27 August 2004, Zurich, Switzerland.

52.  Murat Karakaya, Ozgur Ulusoy, Evaluation of a Broadcast Scheduling Algorithm, Advances in Databases and Information Systems (ADBIS'01), Lecture Notes in Computer Science (Springer Verlag), vol.2151, September 2001. (ISSN:0302-9743)

 

 



BOOK CHAPTERS

 

·           D. Katsaros, G. Yavas, A. Nanopoulos, M. Karakaya, Ö. Ulusoy, Y. Manolopoulos, Resource Allocation in Wireless Networks, in Encyclopedia of Data Warehousing and Mining, (John Wang, ed.), IDEA Group Reference, 2005.

 

 

 

 

UNREFEREED PUBLICATIONS

 

·         Murat Karakaya, Yollara Yerleştirilen El Yapımı Patlayıcılara Karşı Kablosuz Algılayıcı Ağların Kullanımı (Use of Wireless Sensor Networks Against Handmade Explosives Placed on Roads), Cumhuriyet Bilim ve Teknoloji Dergisi, No. 1358, March 29, 2013.

 

 

SPONSORED PROJECTS AND GRANTS

 

1.      Derin Öğrenme Yöntemi ile Görme Engelliler için Logo Tanıma Uygulaması (A Deep Learning Application to Detect Logos for Assisting Blinds), 2018-2019, Academic Advisor, TUBİTAK 2209-B Sanayiye Yönelik Lisans Araştırma Programı Destekleme Programı, Project No. 1139B411801171, Budget: 4000 TL /~$800.

2.      Project Manager, Automatic Survey Preparation and Evaluation System using Image Processing Techniques, 2016-2017, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1617-11, Budget: 8000 TL /~$3000.

3.      Project Manager, A Smart Building Application: Determining Number of Victims Automatically in a Collapsed Building, 2016-2017, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1617-07, Budget: 8000 TL /~$3000

4.    Project Manager, Remote Monitoring of Elderly People by Mobile Systems, 2015-2016, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1516-04, Budget: 8000 TL /~$3000.

5.    Project Manager, A Smart Classroom Application: Monitoring and Reporting Class Attendance Automatically with Wireless Connection, 2015-2016, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1516-05, Budget: 8000 TL /~$3000. 

6.    Project Manager, Wireless Control System Design for Auditing the Patrol Officers, 2014-2015, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1415-12, Budget: 8000 TL /~$4000.

7.    Project Manager, Identification of Reckless Drivers by Image Processing Techniques, 2014-2015, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1415-13, Budget: 8000 TL /~$4000.

8.    Project Manager, Detection & Identification of Logos for Blinds using Smart Phones, 2013-2014, supported by Atilim University LAP Research Program, Project No. ATU-LAP-C-1314-07, Budget: 9000 TL /4500$

9.    Participant Researcher, Novel Information Society Technologies for Turkey (Turkiye icin Yeni Bilgi Toplumu Teknolojileri (BTT-Turkiye)), supported by TÜBİTAK, Project No.: TUBITAK-EEEAG-105E065, 2005 - 2008.

10.  Participant Researcher, Data Mining Techniques for the Location and Air-Cache Management Problems, supported by TÜBİTAK and GSRT (The General Secretariat for Research and Technology of Greece), 2002 – 2004.

 

AWARDS / HONORS / ACHIEVEMENTS 

 

1.    2025 Teknofest Sağlıkta Yapay Zeka Yarışması Üniversite ve Üzeri Kategorisinde proje sunuş raporunda 100 üzerinden 94,67 puan alarak finalist, 2025.

2.    2024 Teknofest Sağlıkta Yapay Zeka Yarışması Üniversite ve Üzeri Kategorisinde Final Yarışmasında 5889 takım arasında 50 üzerinden 44,41 puan alarak 7ncilik, 2024.

3.    2024 Teknofest Sağlıkta Yapay Zeka Yarışması Üniversite ve Üzeri Kategorisinde proje sunuş raporunda 100 üzerinden 89,33 puan alarak finalist, 2024.

4.    TUBİTAK International Scientific Publication Incentive (UBYT), The Scientific and Technical Research Council of Turkey (TUBITAK), 2024.

5.    TED University Research Incentive Grant, Atılım University, 2025.

6.    Atılım University Research Incentive Grant, Atılım University, 2021-2022.

7.    Best Paper Award, 2021 6st International Informatics and Software Engineering Conference (UBMK) , Ankara, Turkey, Sept, 2021.

8.    Atılım University Research Incentive Grant, Atılım University, 2020-2021.

9.    Atılım University Research Incentive Grant, Atılım University, 2017-2018.

10.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2017.

11.  Atılım University Research Incentive Grant, Atılım University, 2016-2017.

12.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2016.

13.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2015.

14.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2015.

15.  Best Presentation Award, 2nd International Conference on Network Technologies (ICNT'15), Dubai, UAE, Oct.17-18, 2015.

16.  Innovative Project Award, 5th Undergraduate Research Projects Fair (Lisans Araştırma Projeleri Şenliği LAP2015), Atilim University, Ankara, Turkey, May 22,2015.

17.  Best Presentation Award, 4th International Conference on Computer and Software Modeling (ICCSM'14), Bangkok, Thailand, Oct.10-12,2014.

18.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2013.

19.  Postdoctoral Research Scholarship, The Scientific and Technical Research Council of Turkey (TUBITAK), 2010 - 2011.

20.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2009.

21.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2008.

22.  TUBİTAK International Publication Incentive, The Scientific and Technical Research Council of Turkey (TUBITAK), 2008.

23.  ITIL Practitioner Certificate, Learning Tree Int., London/England, 2008.

24.  PRINCE2 Practitioner Certificate, Learning Tree Int., Brussels/Belgium, 2007.

25.  ITIL Foundation Certificate, Learning Tree Int., London/England, 2007.

26.  Ph.D. Scholarship, The Scientific and Technical Research Council of Turkey (TUBITAK), 2000 - 2005.

27.  Scientific Service Award, Georgian Military Academy, 2003.

28.  Graduate Scholarship (Tuition), Bilkent University, during Graduate study from 1998 to 2008.

29.  Project Award, Command of Artillery and Missile School, Third Place in the Project Competition (among 125 projects), 1995.

30.  Gratification Award, Turkish Land Forces, in recognition of success in education and training, 1995.

 

 

TEACHING

Given Courses:

·           Machine Learning for Engineers @ Atılım                       : Spring 2020, Spring 2021,

                                                                                    Spring 2022, Spring 2023 

·           Fundamentals of Deep Learning @ Atılım                      : Fall 2021, Fall 2022

·           Algorithms @ Atılım                                                         : Fall  2016

·           Project Orientation @ Atılım                                            : Fall  2013, Fall 2014, Spring 2015

·           Object-Oriented Data Structures @ Atılım                      : Fall 2014, Fall 2015, Spring 2016,                    

                                                                                         Spring 2023 

·           Operating Systems @ Atılım                                           : Fall 2013

·           Natural Computing @ Atılım                                            : Fall 2013, Spring 2015

·           Advanced Database Systems @ Atılım                          : Spring 2015, Fall 2016,

                                                                                           Spring 2017, Fall 2018

·           Introduction to Database Management Sys. @ Atılım    : Fall 2017

·           Database Design & Management @ Atılım                    : Fall 2015, Fall 2017, Spring 2018,

                                                                                           Spring 2019

·           Database Systems and Programming @ Atılım              : Spring 2013, Fall 2014, Fall 2015,

                                                                                           Spring 2017, Spring 2019

 

·           Senior Project @ Atılım                                                   : Fall 2012, Spring 2013,

                                                                                           Spring 2022 

·           Introduction to Computer Eng. & Programming @ Atılım: Fall 2012, Fall 2015

·           Database Management Systems @ METU                   : Spring 2012, Fall 2012,

                                                                                           Spring 2013

·           Computer Programming @ Atılım                                  : Spring 2017, Fall 2018,

  Spring 2019, Fall 2019,

  Spring 2020, Fall 2021,

  Spring 2021, Fall 2022

·           Database Design@ TEDU                                              : Spring 2024

·           Building AI Applications with Large Language Models @ TEDU           : Fall 2024,

                                                                                                                          Spring 2025

·           Digital Design and Computer Architecture @ TEDU      : Fall 2024

·           Deep Learning @ TEDU                                                 : Spring 2025

 

 

 

Designed and Opened Courses:

 

·           Information Security @ KHO                                                                   : Spring 2009

·           Natural Computing @ Atılım                                                                    : Fall 2013

·           Machine Learning for Engineers @ Atılım                                               : Spring 2020

·           Fundamentals of Deep Learning @ Atılım                                              : Fall 2021

·           Introduction to Machine Learning @ Atılım                                             : Spring 2022

·           Building AI Applications with Large Language Models @ TEDU           : Fall 2024

·           Digital Design and Computer Architecture @ TEDU                              : Fall 2024

·           Deep Learning @ TEDU                                                                         : Spring 2025

 

 

JOURNAL EDITORIAL BOARD MEMBER

 

1.    Editorial Board Member, Journal of Telecommunications System & Management, 2013 – Current.

2.    Editorial Board Member, Electrical & Electronic Technology Open Access Journal, MedCrave Group, 2017 - Current

3.    Editor, Turkish Journal of Electrical Engineering and Computer Sciences, TUBITAK, ISSN: 1300-0632, 2016, 2017

4.    Editorial Board Member, Turkish Military Academy Science Journal, 2009 – 2012.

 

 

CONFERENCE COMMITTEE MEMBER

 

1.    Technical Committee Member, 2021 Sinyal İşleme ve İletişim Uygulamaları (SIU2017), Antalya, Turkey, Oct 5 – 7, 2021

2.    Technical Committee Member, International Symposium on Connected and Autonomous Vehicles (SoCAV), Hong Kong, China, January 15-17, 2021 Technical Committee Member, International Conference on Internet Computing for Science and Engineering ICICSE 2021, Guilin, China, China, July 9-11, 2021, 2021

3.    Technical Committee Member, The International Conference on Computer and Communications (ICCC 2021), Chengdu, China, December 10-13, 2021

4.    Technical Committee Member, 2021 Sinyal İşleme ve İletişim Uygulamaları (SIU2021), Antalya, Turkey, Oct 5 – 7, 2021

5.    Technical Committee Member, International Symposium on Connected and Autonomous Vehicles (SoCAV), Hong Kong, China, January 15-17, 2021

6.    Technical Committee Member, International Conference on Internet Computing for Science and Engineering ICICSE 2021, Guilin, China, China, July 9-11, 2021

7.    Technical Committee Member, The International Conference on Computer and Communications (ICCC 2021), Chengdu, China, December 10-13, 2021

8.    Technical Committee Member, 2020 Sinyal İşleme ve İletişim Uygulamaları (SIU2017), Antalya, Turkey, Oct 5 – 7, 2020

9.    Technical Committee Member, International Joint Conference on Information and Communication Engineering (JCICE 2020), organized by IASED (International Academy of Science and Engineering for Development, www.iased.org), Sydney, Australia, Feb. 17-19, 2020.

10.  Technical Committee Member, 2020 2nd International Conference on Information System and System Management (ISSM), Rabat, Morocco, October 14-16, 2020.

11.  Technical Committee Member, The International Conference on Computer and Communications (ICCC 2020), Chengdu, China, Dec. 11-14, 2020

12.  Technical Committee Member, International Conference on Communication Technology (IEEE ICCT 2020), Nanning, China, October 28-31, 2020, 2021

13.  Technical Committee Member, 2019 IEEE 10th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), September 18-21, 2019, in Metz, France.

14.  Technical Committee Member, the 2nd International Conference on Software Engineering and Information Management (ICSIM 2019), January 10-12, 2019, in Bali, Indonesia.

15.  Technical Committee Member, 2nd International Conference on Big Data and Smart Computing (ICBDSC 2019), January 10-12, 2019, in Bali, Indonesia.

16.  Program Committee Member, TBD 35. Ulusal Bilişim Kurultayı (BİLİŞİM 2018), Ankara, Turkey, 21-22 Kasım 2018 

17.  Program Committee Member, 12. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'18), Istanbul, Turkey, 10-12 Eylül 2018

18.  Technical Committee Member, 18th IEEE International Conference on Communication Technology (ICCT 2018), Oct. 8-11, 2018 in Chongqing, China.

19.  Technical Committee Member, International Conference on Video and Image Processing (ICVIP2018), December 29-31, 2018 in Hong Kong.

20.  Technical Committee Member, International Joint Conference on Information and Communication Engineering (JCICE 2018), organized by IASED (International Academy of Science and Engineering for Development, www.iased.org), Shanghai, China, April 27-29, 2018.

21.  Technical Committee Member, International Conference on Software Engineering and Information Management (ICSIM 2018), Casablanca, Morocco, January 27-29, 2018.

22.  Technical Committee Member, International Conference on Big Data and Smart Computing (ICBDSC 2018), Casablanca, Morocco, January 27-29, 2018.

23.  Technical Committee Member, 10th IEEE International Conference on Communication Software and Networks (ICCSN 2018), Huazhong University of Science and Technology, Wuhan, China, June 28-July 1, 2018

24.  Technical Committee Member, 11th IEEE International Conference on Open Source and Systems and Technologies (ICOSST 2017), Al-Khawarizmi Institute of computer Science, UET, Lahore, Pakistan, 18th-20th December, 2017

25.  Technical Committee Member, 17th IEEE International Conference on Communication Technology (IEEE-ICCT 2017), Chengdu, China, October 27-30, 2017

26.  Session Chair, 11. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'17), Alanya, Turkey, 18-20 Ekim 2017

27.  Program Committee Member, 11. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'17), Alanya, Turkey, 18-20 Ekim 2017

28.  Technical Committee Member, 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017), Guangdong University of Technology, Guangzhou, China, May 6-8, 2017

29.  Scientific Committee Member, 10th International Conference on Information Security and Cryptology (ISCTURKEY 2017), 20-21 Ekim 2017, Ankara, Turkey

30.  International Program Committee Member, The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017), September 21-23, 2017, Bucharest, Romania

31.  Scientific Committee Member, The Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), 2017

32.  Scientific Committee Member, 2nd International Conference on Computer Science and Engineering (UBMK 2017), Antalya, Turkey, 5-7 October 2017.

33.  Program Committee Member, The Seventh National Conference on Defense Applications, Modeling and Simulation (USMOS), Ankara, Turkey 2017

34.  Technical Committee Member, 2017 Sinyal İşleme ve İletişim Uygulamaları (SIU2017), Antalya, Turkey, May 15 – 18, 2017

35.  Technical Committee Member, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, Ukraine, May 29 – June 2, 2017

36.  Technical Committee Member, The International Conference on Computer and Communications (ICCC 2017), Chengdu, China, October 10-11, 2017.

37.   Scientific Committee Member, The International Congress on Engineering and Natural Sciences (ICENS 2017), Budapest, Hungary, May 3-7, 2017.

38.   Technical Program Committee Member, International Symposium on Networks, Computers and Communications (ISNCC), 2017.

39.   International Program Committee Member, International Conference on Control, Automation and Diagnosis (ICCAD'17), 2017.

40.  Scientific Committee Member, 9th International Conference on Information Security and Cryptology (ISCTURKEY 2016), 2016.

41.  Scientific Committee Member, International Conference on Computer Science and Engineering (UBMK 2016), 2016.

42.  Scientific Committee Member, The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2016.

43.  Technical Committee Member, 8th IEEE International Conference on Communication Software and Networks (ICCSN 2016), Beijing, China, June 4-6, 2016.

44.  Program Committee Member, 11th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2016), Hokkaido, Japan, June 26 - 29, 2016.

45.  Technical Committee Member, The International Conference on Computer and Communications (ICCC 2016), Chengdu, China, October 10-11, 2016.

46.  Scientific Committee Member, The International Congress on Engineering and Natural Sciences (ICENS 2016), Skopje, Macedonia, May 24-28, 2016.

47.  Program Committee Member, 10. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'16), Çanakkale, Turkey 2016.

48.  Scientific Committee Member, The Third International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2015), 2015.

49.  Program Committee Member, 9. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'15), Izmir, Turkey 2015.

50.  Program Committee Member, The Sixth National Conference on Defense Applications, Modeling and Simulation (USMOS), Ankara, Turkey 2015.

51.  Technical Committee Member, The 7th International Conference on Future Computer and Communication (ICFCC 2015), Singapore, May 20-22, 2015.

52.  Technical Committee Member, The International Conference on Computer and Communications (ICCC 2015), Chengdu, China October 10-11, 2015.

53.  Scientific Committee Member, The International Congress on Engineering and Natural Sciences (ICENS 2015), Skopje, Macedonia May 15-19, 2015.

54.  Special Session Organizer, The 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey August 2-5, 2015.

55.  Technical Committee Member, The 4th International Conference on Computer and Software Modeling, Bangkok, Thailand Oct.10-12,2014.

56.  Organizing Committee Member, International Conference and Business Expo on Wireless Communication, 2015.

57.  Technical Committee Member, The 4th International Conference on Computer and Software Modeling Bangkok, Thailand Oct.10-12, 2014.

58.  Scientific Committee Member, The Second International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2014), 2014

59.  Program Committee Member, The Sixth National Conference on Defense Applications, Modeling and Simulation (USMOS), 2013.

60.  Program Committee Member, The Fourth National Conference on Defense Applications, Modeling and Simulation (USMOS) 2011.

 

 

REFREE / REVIEWER

 

1.    Reviewer, 1 Paper, Ufuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Ufuk Üniversitesi, Ankara, Turkey 2019 

2.    Reviewer, 3 Papers, International Conference on Computer Science and Engineering (UBMK 2018), Sarajevo, Bosnia & Herzegovinia, 20-23 Sep. 2018 

3.    Reviewer, 3 papers, 12. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'18), Istanbul, Turkey, 10-12 Eylül 2018

4.    Reviewer, 3 papers, The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), 2018

5.    Monitor, TUBİTAK TEYDEB - 1512 Girişimcilik Aşamalı Destek Programı, 14/04/2017 -  14/04/2018

6.    Reviewer, Autonomous Robots, Springer, ISSN: 0929-5593 (print version), 2018 

7.    Reviewer, 2 Papers, 11th IEEE International Conference on Open Source and Systems and Technologies (11th IEEE ICOSST 2017), Al-Khawarizmi Institute of computer Science, UET, Lahore, Pakistan, 18th-20th December, 2017

8.    Reviewer, 1 Paper, KSII Transactions on Internet and Information Systems, the National Research Foundation under the Ministry of Education, Science and Technology (MEST) and the Korean Federation of Science and Technology Societies (KOFST), eISSN: 1976-7277, 2017

9.    External referee (Dış Danışman), 1 Project, TUBİTAK EEEAG - Elektrik, Elektronik, Enformatik Araştırma Destek Grubu, 11/09/2017

10.  Panelist, 3 Projects, TUBİTAK EEEAG - Elektrik, Elektronik, Enformatik Araştırma Destek Grubu, 2017-1-1003 Bulut Bilişim 2, 17/08/2017

11.  Reviewer, 3 Papers, The International Conference on Computer and Communications (ICCC 2017), Chengdu, China, Dec 13-16, 2017

12.  Reviewer, 3 Papers, 10th International Conference on Information Security and Cryptology (ISCTURKEY 2017), Ankara, Turkey, 20-21 Ekim 2017

13.  Referee, TUBİTAK TEYDEB, 1501-Sanayi Ar-Ge Projeleri Destekleme Programı, 14/07/2017

14.  Reviewer, 4 Papers, 11. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'17), Alanya Hamdullah Emin Paşa (HEP) Üniversitesi, Turkey 18-20 Ekim 2017

15.  Reviewer, Computers & Operations Research, Elsevier, ISSN: 0305-0548, 2017

16.  Reviewer, Autonomous Robots, Springer, ISSN: 0929-5593 (print version), 2017

17.  Reviewer, 3 Papers, Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı (USMOS 2017), Ankara, Turkey, 21-23 Nov. 2017

18.  Reviewer, 3 Papers, International Conference on Computer Science and Engineering (UBMK 2017), Antalya, Turkey, 5-8 Oct. 2017

19.  Reviewer, 1 papers, 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017), Bucharest, Romania, September 21-23, 2017

20.  Referee, TUBİTAK TEYDEB, 1501-Sanayi Ar-Ge Projeleri Destekleme Programı, 09/06/2017

21.  Referee, TUBİTAK TEYDEB, 1507-KOBİ Ar-Ge Başlangıç Destek Programı, 22/05/2017

22.  Panelist, 5 Projects, TUBİTAK EEEAG - Elektrik, Elektronik, Enformatik Araştırma Destek Grubu, 2017-1-GÖRÜNTÜ İŞLEME 2, 12/05/2017

23.  Monitor, TUBİTAK TEYDEB - 1512 Girişimcilik Aşamalı Destek Programı, 14/04/2017 -  14/04/2018

24.  Reviewer, 1 papers, The 3rd International Conference on Fuzzy Systems and Data Mining (FSDM), National Dong Hwa University, Hualien, Taiwan, Nov. 24-27, 2017

25.  Reviewer, ETRI Journal, Electronics and Telecommunications Research Institute (ETRI), ISSN 1225-6463, 2017

26.  Reviewer, 3 papers, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, Ukraine, May 29 – June 2, 2017

27.  Reviewer, 3 papers, Sinyal İşleme ve İletişim Uygulamaları (SIU2017), 2017

28.  Reviewer, IEEE Access, The Multidisciplinary Open Access Journal, 2017

29.  Reviewer, The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), 2017

30.  Reviewer, The International Symposium on Networks, Computers and Communications (ISNCC), 2017

31.  Reviewer, 3 Papers, 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017), 2017

32.  Reviewer, Asian Journal of Mathematics and Computer Research, 2016

33.  Reviewer, 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017), 2016

34.  Reviewer, 3 Papers, 9th International Conference on Information Security and Cryptology (ISCTURKEY 2016), 2016

35.  Reviewer, 4 Papers, International Conference on Computer Science and Engineering (UBMK 2016), 2016

36.  Reviewer, 3 Papers, The International Conference on Computer and Communications (ICCC 2016), 2016

37.  External referee (Dış Danışman), TUBİTAK EEEAG - Elektrik, Elektronik, Enformatik Araştırma Destek Grubu, 1002 Hızlı Destek Program,17/07/2016

38.  Reviewer, 4 Papers, 10. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'15), 2016 

39.  Reviewer, Journal of the Electronics and Telecommunications Research Institute (ETRI), 2016

40.  Reviewer, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016

41.  Reviewer, 8th IEEE International Conference on Communication Software and Networks (ICCSN 2016), 2016

42.  Reviewer, The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), 2016

43.  Reviewer, KSII Transactions on Internet and Information Systems, 2016

44.  Panelist, TUBİTAK EEEAG - Elektrik, Elektronik, Enformatik Araştırma Destek Grubu, 2016-1-1003 Metin Madenciliği, 05/02/2016

45.  Referee, TUBİTAK 1507-KOBİ Ar-Ge Başlangıç Destek Programı, 05/01/2016

46.  Panelist, TUBİTAK EEEAG - Elektrik,Elektronik,Enformatik Araştırma Destek Grubu, 2015-1-Biyomedikal Görüntüleme Sistemleri, 26 Agust 2015

47.  Reviewer, Journal of the Electronics and Telecommunications Research Institute (ETRI), 2015

48.  Reviewer, KSII Transactions on Internet and Information Systems, 2015

49.  Reviewer, 9. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'15), 2015

50.  Reviewer, International Journal of Advancements in Technology, 2015

51.  Reviewer, The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 2015

52.  Reviewer, The 7th International Conference on Future Computer and Communication, 2015

53.  Referee, Teknogirisim Sermayesi Destegi Degerlendirme Komisyonu, Bilim, Sanayi ve Teknoloji Bakanligi, 2015

54.  Refree, AR-GE Merkezi Değerlendirme/Denetim Komisyonu, Bilim, Sanayi ve Teknoloji Bakanliği, 2014

55.  Reviewer, International Journal of Distributed Sensor Networks, 2014

56.  Reviewer, The 4th International Conference on Computer and Software Modeling Bangkok, Thailand Oct.10-12, 2014

57.  Reviewer, The Defense Against Terrorism Review (DATR), 2014

58.  Reviewer, Turkish Journal of Electrical Engineering & Computer Sciences, 2014

59.  Reviewer, The International Journal of Computing and Informatics (CAI), 2013.

60.  Reviewer, The Sixth National Conference on Defense Applications, Modeling and Simulation (USMOS), 2013.

61.  Reviewer, Teknogirişim Sermayesi Desteği Değerlendirme Komisyonu, Bilim, Sanayi ve Teknoloji Bakanliği, 2013.

62.  Reviewer, The International Journal of Computing and Informatics (CAI), 2013

63.  External Reviewer, 27th International Conference on Data Engineering, 2011.

64.  External Reviewer, ACM SIGMOD 2011.

65.  Reviewer and Session Chairman, The Fourth National Conference on Defense Applications, Modeling and Simulation (USMOS) 2011.

66.  Reviewer, 5th Defense Technologies Congress (SAVTEK), 2010.

67.  Reviewer, The International Journal of Computer and Telecommunications Networking (Elsevier Computer Networks), 2010.

68.  Reviewer, IEEE Internet Computing, 2009.

 

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