Muhammed Golec
🖥️ Welcome

Muhammed Golec

Assistant Professor of Computer Engineering

Bogazici University, 34342, Bebek, Istanbul, Turkiye

Advancing research in Artificial Intelligence, Distributed Systems, Edge Computing, Internet of Things, and Cloud Computing

4+ Years Teaching
15+ Courses
5 Awards

About

📖 Biography

I am an Assistant Professor in the Department of Computer Engineering at Boğaziçi University. I received my Ph.D. in Computer Science from Queen Mary University of London, where I worked on AI-driven architectures for scalable and secure computing systems. My work focuses on Edge and Cloud Computing, Artificial Intelligence, Large Language Models (LLMs), and Cybersecurity. I aim to design intelligent, privacy-aware, and energy-efficient solutions that address emerging challenges in IoT and smart systems. I actively collaborate with industry and academia to build bridges between theoretical innovation and real-world application.

🎓 Teaching Fellow

Queen Mary University of London, UK

Sep 2021 – May 2025
Cloud & Data Platforms:
  • AWS Academy Data Engineering
  • AWS Academy Cloud Developing
  • Cloud Computing
  • Distributed Systems
Security & Systems:
  • Security Engineering
  • Software Engineering
  • Communications and Networks
Data & AI:
  • Data Analytics
  • Machine Learning Deployment for Big Data Science
Programming & Modelling:
  • C Programming
  • Object-Oriented Programming
  • Semi-Structured Data and Advanced Data Modelling

🏭 Industry Experience

Electrical Maintenance Engineer

Jan 2021 – Aug 2021

Şişecam, Bursa, Türkiye

  • Engaged in predictive maintenance and failure diagnostics aligned with Industry 4.0 standards
  • Led Kaizen-based process improvements to reduce downtime and increase system efficiency
  • Conducted root cause analysis and implemented Corrective and Preventive Actions (CAPA)
  • Performed statistical process control, testing, and calibration of inspection machines
  • Oversaw quality control procedures across production and packaging lines
  • Contributed to digital transformation initiatives in electrical systems and automation

🎓 Education

Ph.D. in Computer Science

Sep 2021 – Jun 2025

Queen Mary University of London, UK

M.Sc. in Computer Science

Sep 2019 – Sep 2020

Queen Mary University of London, UK

Distinction, GPA: 4.0/4.0

B.Sc. in Electrical and Electronic Engineering

Sep 2012 – Jul 2016

Uludağ University, Bursa, Türkiye

Honours

Awards & Recognition

Teaching Excellence Award

🧑‍🏫 Teaching Excellence Award – Queen Mary University of London

Awarded "Demonstrator of the Year" for excellence in teaching and student engagement during Ph.D. tenure at QMUL.

2024
Reviewer Certificate 2024

📜 Reviewer Certificate – Transactions on Emerging Telecommunications Technologies (Wiley Journal)

Reviewed 17 manuscripts in 2024, maintaining high academic standards as a dedicated peer reviewer.

2025
Reviewer Award IoT

🏅 Reviewer Award – Internet of Things Journal (Elsevier Internet of Things Journal)

Awarded for outstanding contribution as a peer reviewer, recognizing service and commitment to research quality in the IoT field.

2024
Reviewer Certificate 2023

📜 Reviewer Certificate – Transactions on Emerging Telecommunications Technologies (Wiley Journal)

Reviewed 11 manuscripts throughout 2023, contributing to the scientific evaluation of next-generation telecommunications technologies.

2023
Top Cited Article

🥇 Top Cited Article Wiley Security and Privacy Journal

Recognized for the paper "BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain", selected as one of the most cited articles of 2022–2023.

2022–2023
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Media & Press

TRT Haber Interview
Interview

📺 TRT Haber Interview

📄 Technology Competency Meetings 📍 London

In an exclusive interview with TRT News, Dr. Muhammed Göleç shared his views on the engineering approach in the defense industry, AI-supported technologies, and academia-industry collaboration.

Defense Industry AI Technologies Academia-Industry

Recent Publications

Journal Paper

LENS: Lightweight and Explainable LLM-Based APT Detection at the Edge for 6G Security

IEEE Access, Volume 13: 2025

Expected to be deployed in the early 2030s, sixth-generation (6G) wireless networks, with their high speed and integration with cutting-edge technology such as intelligent edge computing...

PDF DOI
Journal Paper

CRAXNet: Credit Rating via Advanced XGBoost and Neural Networks

Kuwait Journal of Science - Elsevier, Volume 53, Issue 1, January 2026, 100490

This paper presents a new two-stage model CRAXNet for corporate credit rating...

PDF DOI
Journal Paper

EdgeAIBus: AI-driven joint container management and model selection framework for heterogeneous edge computing

IEEE Transactions on Parallel and Distributed Systems, VOL. 36, NO. 11, NOVEMBER 2025

Containerized Edge computing offers lightweight, reliable, and quick solutions to latency-critical Machine Learning (ML) and Deep Learning (DL) applications. Existing solutions considering multiple Quality of Service (QoS) parameters either overlook the intricate relation of QoS parameters or pose significant scheduling overheads...

PDF DOI
Journal Paper

Llm-driven apt detection for 6g wireless networks: A systematic review and taxonomy

IEEE Access, Volume: 13, 05 AUGUST 2025

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates...

PDF DOI
Book Chapter

Quantum computing at a glance

Quantum Computing, Morgan Kaufmann, 2025

Quantum computing’s current capacity to efficiently tackle complex problems exceeds that of traditional methods, as demonstrated by its use in optimization and artificial intelligence. This chapter explains the concept of quantum computing, along with its differences from traditional computing...

Publisher Preview
Journal Paper

Edge AI: A Taxonomy, Systematic Review and Future Directions

Cluster Computing - Springer , Volume 28, article number 18, (2025)

Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyse data in close communication with the location where the data is captured with AI technology. Recent advancements in AI efficiency, the widespread use of Internet of Things (IoT) devices, and the emergence of edge computing have unlocked the enormous scope of Edge AI...

DOI

Contact

Get in Touch

I am currently looking for motivated MSc and PhD students to join my research group at the Department of Computer Engineering, Bogazici University. I am always interested in discussing research collaborations, potential projects, or academic opportunities.

Office

Bogazici University, Department of Computer Engineering
Room: BM-16C, 34342, Bebek, Istanbul, Turkiye
Phone: 0212 359 7242

Office Hours

Tuesday & Thursday: 10:00 – 12:00
Online meetings available by request

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