Find Academic Supervisors

• High Performance Computing (HPC)
• Data Locality
• GPU Computing
• +7 more

Dr. Didem Unat is an Associate Professor at Koç University, College of Engineering, Department of Computer Engineering . Her research focuses on High Performance Computing (HPC) , GPU Computing , and Compiler Design , with particular emphasis on data locality optimization, multi-GPU communication, and adaptive mesh refinement. She leads the Parallel and Multicore Computing Lab , driving innovations in exascale co-design and heterogeneous system optimization. ACM SIGHPC Emerging Woman Leader in Technical Computing Award (2021) ERC Starting Grant (1.5M EUR) for the SparCity Project (2025) EuroHPC Grant for Extreme Scale Technologies and Applications (2025) 2025 BAGEP Award (Science Academy) Her work bridges Computer Architecture and Machine Learning , addressing challenges in data locality , multi-GPU systems , and performance portability . Recent publications highlight trends in sparse tensor optimization , asynchronous AMR execution , and compiler support for heterogeneous memory . She has developed tools like ComScribe for intra-node GPU communication analysis and ReuseTracker for multicore reuse distance analysis. Dr. Unat’s research is supported by grants from ERC and EuroHPC , reflecting her leadership in exascale technologies and GPU-centric systems . She contributes to the evolution of tiling abstractions , dynamic LLM training , and lightweight communication detection for modern architectures.

• Applied Optimization
• Metaheuristic Approaches
• Transportation and Logistics Systems
• +5 more

Mahir Yıldırım is an Assistant Professor in the Department of Industrial Engineering at the Faculty of Engineering and Natural Sciences, Istanbul Bilgi University. He holds a PhD in Industrial Engineering from Sabancı University and has held postdoctoral positions at Eindhoven University of Technology and Sabancı University. He currently serves as Vice Head of the Department of Industrial Engineering and previously served as Vice Dean of the Faculty of Engineering and Natural Sciences (2018–2019). Education: PhD, Industrial Engineering, Sabancı University, 2014 MS, Industrial Engineering, Sabancı University, 2008 BS, Industrial Engineering, Istanbul Technical University, 2006 Postdoctoral Researcher, Eindhoven University of Technology, 2015–2016 Postdoctoral Researcher, Sabancı University, 2014–2015 His research focuses on applied optimization , metaheuristic algorithms , and transportation and logistics systems . He develops advanced computational methods for vehicle routing, bin packing, and time-dependent network optimization, with applications in sustainable logistics and industrial automation. His work bridges theoretical algorithm design and real-world implementation in intelligent transportation and production systems. The recent publications show a strong trend in hybrid optimization techniques , combining metaheuristics like ant colony optimization with mathematical programming (matheuristics), applied to complex logistics problems. His work increasingly integrates real-time data and network dynamics, particularly in transportation systems, while maintaining a focus on multi-objective and sustainable design. Scientific Awards and Honors: TÜBİTAK 2219 Postdoctoral Fellowship (2015–2016) TÜBİTAK 2214-A Doctoral Research Fellowship (2014) Sabancı University Faculty of Engineering Excellence in Teaching Award (2012–2013) Sabancı University Full Doctoral Scholarship (2009–2014) TÜBİTAK 2209 Master’s Fellowship (2006–2008) Sabancı University Full Master’s Scholarship (2006–2008) Dr. Yıldırım has advised both PhD and MSc students, contributing to academic development in optimization and logistics. His research has been supported by national grants from TÜBİTAK and institutional scholarships. He actively contributes to academic service through administrative roles and curriculum development in industrial engineering education. He teaches courses such as Metaheuristic Approaches in Optimization, Facilities Design and Planning, and Production Systems, aligning closely with his research expertise. While no formal lab is mentioned, his collaborative work with researchers like Bülent Çatay and Vildan Özkır suggests strong research team involvement in optimization and logistics projects.

Okan Örsan ÖzenerView profile

Professor

• Combinatorial Optimization
• Data Science
• Machine Learning
• +4 more

Prof. Dr. Okan Örsan Özener is a Professor in the Department of Industrial Engineering at Özyeğin University, where he currently serves as Dean of the Faculty of Engineering and Director of the Graduate School of Science and Engineering. Previously, he was Head of the Industrial Engineering Department (2012-2022) and Vice Dean of Engineering (2022-2024). He holds a BS and MS in Industrial Engineering from Middle East Technical University, and an MS in Operations Research and PhD in Industrial and Systems Engineering from Georgia Institute of Technology. His research focuses on combinatorial optimization, data-driven decision-making, and applications in supply chain systems. Key areas include: Integer programming and combinatorial optimization Machine learning applications in operations Cooperative/non-cooperative game theory Transportation and logistics network design Inventory control systems Healthcare and humanitarian logistics His publications demonstrate strong focus on practical optimization applications across logistics, healthcare, manufacturing, and software systems, with recent emphasis on sustainable logistics and machine learning integration. Honors include: Most outstanding faculty member of the University (2014) University-wide Teaching Excellence Award (2016) He actively advises graduate students and leads major research initiatives: Supervises 5 PhD and 3 MSc students in optimization and machine learning Principal Investigator for TUBITAK grants on crew planning, blood supply management, and game theory applications Industry collaborations with DHL, Turkish Airlines, and Vestel Electronics He directs research in logistics and optimization, recruiting students for projects in city logistics and ML applications.

Hüseyin UlusoyView profile

Researcher

• Security and privacy
• Big Data
• Distributed systems
• +2 more

Hüseyin Ulusoy is a researcher at Özyeğin University's Graduate School of Science and Engineering, Department of Computer Science. His academic journey includes a Ph.D. in Computer Science from the University of Texas at Dallas (2015), an M.S. in Computer Science from the same institution (2013), and a B.S. in Computer Engineering from Middle East Technical University (2010). Education: Ph.D., Computer Science, University of Texas at Dallas, 2015 M.S., Computer Science, University of Texas at Dallas, 2013 B.S., Computer Engineering, Middle East Technical University, 2010 Dr. Ulusoy's research focuses on security and privacy in distributed systems, with specific interests in Big Data , parallel algorithms , in-line reference monitors , and query rewriting mechanisms. His work addresses critical challenges in access control and data protection within modern computational frameworks.

Emin KuğuView profile

Assistant Professor

• Computer Science
• Information Security
• Cryptology
• +7 more

Emin Kuğu is an Assistant Professor in the Department of Software Engineering at TED University, Faculty of Engineering, since May 2020. He previously served as Deputy Head of Department and Head of the Computer Engineering Department at the Turkish Air Force Academy (2014-2017) and held part-time roles at other institutions. Education : PhD in Electrical and Computer Engineering (Old Dominion University, 2011), MSc in Software Engineering (Turkish Air Force Academy, 2005), BSc in Computer Science Engineering (Istanbul University, 1996). Research Interests : Emin's work spans Information Security , Cryptology , Software Security , Computer Networks , Communication Protocols , Databases , and Fuzzy Logic . His recent studies focus on machine learning for healthcare , deep learning in phishing detection , and location spoofing vulnerabilities in e-scooters. He has contributed to UAV path planning , intrusion detection , and remote sensing applications . Scientific Awards : Recipient of the Gene Newman Award for Excellence in M&S Research (Old Dominion University, 2009). Service and Leadership : Emin has led editorial roles at the Journal of Aeronautics and Space Technologies , served on competition juries (e.g., Turkish Exporters' Assembly InovaTİM Competition), and organized international conferences like the 36th Computer Engineering Department Heads Meeting (2022) and the 6th International Conference on Computer Science and Engineering (2021).

Feza BuzlucaView profile

Associate Professor

• Computer Software
• Computer and Communication Networks
• Object-Oriented Modeling
• +4 more

Assoc. Prof. Feza Buzluca is affiliated with Istanbul Technical University as an Associate Professor in the Faculty of Computer and Informatics, Department of Computer Engineering . His academic career spans over two decades at ITU, including administrative roles like Vice Dean (2015-2018) and Faculty Board Membership (2016-). PhD in Control and Computer Engineering from Istanbul Technical University Fields: Computer Software, Communication Networks, Object-Oriented Modeling, Microservices His research focuses on software quality assessment , particularly for microservices architectures using fuzzy logic and code metrics. He explores object-oriented systems through machine learning for defect prediction, module extraction, and design pattern analysis. Recent work includes embedded software testing prioritization and cognitive radio network optimization . Key projects: Personal website and ORCID profile highlight 41 research outputs (2001-2024) and 1 project on microservices-based e-payment systems . Collaborations span IEEE/ACM conferences and journals like Journal of Systems and Software . Contact: Office 4318, Ayazaga Campus, 34000 Istanbul | buzluca@itu.edu.tr

• Parallel and Distributed Systems
• Machine Learning
• Embedded Systems
• +4 more

Dr. Kadir Özlem is a Researcher at Istanbul Technical University's Department of Computer Engineering within the Computer and Informatics School. His work bridges computer engineering with soft robotics and wearable technology, focusing on textile-based sensor systems and actuation mechanisms. PhD in Computer Engineering 2018–present: Researcher at Istanbul Technical University 2016–2018: Software Engineer at Pinnera His research spans soft robotics , machine learning , sensor systems , and textile engineering . Recent projects explore: Cloud-based control systems for telerehabilitation gloves Fog computing frameworks in electronic textiles Thermally actuated textile exoskeletons Scalable fabrication of biaxial fabric motors He has contributed to 20+ publications since 2019, focusing on capacitive sensors , gesture recognition , ECG monitoring , and smart clothing . Collaborations span Turkey, Czech Republic, Poland, and Switzerland. His work integrates computer science with materials engineering , creating wearable systems for health monitoring, rehabilitation, and interactive applications. He utilizes 3D knitting , fog computing , and nature-inspired designs to develop flexible, scalable solutions.

• Computer Aided Design and Manufacturing
• Finite Element Analysis
• Machine Theory and Dynamics
• +3 more

Prof. Dr. İbrahim ÇAYIROĞLU currently holds a full-time Professor position at Karabük University's Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He has served as Department Chair since 2024 and previously held administrative roles including Dean Assistant and Department Chair between 2003-2021. Education: PhD in Mechanical Engineering (2002), Kırıkkale University MSc in Mechanical Engineering (1996), Kırıkkale University BSc in Mechanical Engineering (1991), Istanbul Technical University Research Focus: Specializes in Computer-Aided Design/Manufacturing, Finite Element Analysis, and Machine Dynamics. His work spans robotics, 3D printing optimization, welding technology, and mechanical system simulation. Recent Trends: 2024 publications highlight autonomous robotics, AI-integrated quality control in manufacturing, and advanced finite element analysis. Earlier works focused on SIFT-based object tracking, 3D printing reinforcement, and welding process evaluation. Advising Record: Supervised 11 graduate theses across diverse topics including autonomous robots, composite materials, and 3D printer design. Technical Projects: Led 12 projects between 2007-2023, including TÜBİTAK-funded excavator simulators, composite 3D printers, and automated glass mosaic tiling systems.

• Operations Research
• Multi-Criteria Decision Making
• Modeling and Optimization
• +7 more

Prof. Dr. İmdat Kara is a full-time faculty member at Başkent University's Industrial Engineering Department, College of Engineering, with a career spanning over four decades. He holds a PhD in Industrial Engineering (1976), an MS in Operations Research (1974), and a BSc in Mathematics (1968) from Anadolu University and Middle East Technical University respectively. His research focuses on Operations Research , Modeling and Optimization , and Multi-Criteria Decision Making . With an H-Index of 11, he has published extensively on vehicle routing problems, team formation in sports, integer programming formulations, and process improvement. His work includes 113 journal articles and 973 books/chapters. 2016: Operational Research Association Honor Award His recent publications (2023-2021) address drilling process optimization, electricity network design, sports team harmony modeling, and advanced formulations for traveling repairman problems. He has supervised 11 PhD and 12 master's theses, including work on time window constraints, heterogeneous fleets, and demand-selective routing. Collaborators include leading researchers like Prof. Dr. Berna Dengiz and Prof. Dr. Yusuf Tansel İç.

• Mechatronics
• Robotics
• Parallel Robotics
• +8 more

Vasfi Emre Ömürlü serves as a Professor in the Department of Mechatronics Engineering at Yildiz Technical University's Faculty of Mechanical Engineering. He has maintained continuous affiliation since his graduate studies and co-founded the Mechatronics Engineering Department in 2008 alongside Prof. Ismail Yuksek and Prof. Ahmet Koyun, subsequently serving as its vice chair and department chair to establish it as a leading program. His academic foundation includes a BSc and MSc in Mechanical Engineering from Yildiz Technical University, followed by a PhD in Medical Robotics from The Ohio State University (2002). His research portfolio demonstrates exceptional impact with 69 Web of Science publications and a remarkable WoS H-index of 105. Dr. Ömürlü's scholarly work centers on advanced mechatronic systems, with primary expertise in Robotics (particularly Parallel Robotics), Flight Simulation, Motion Cueing algorithms, and Unmanned Vehicle development. His secondary specializations include Control Systems, Vehicle Dynamics, Mechanical Vibrations analysis, and Mechanism design within dynamic systems. He has secured research funding through at least one major project and holds 32 intellectual property records. While the source indicates thesis advisory activity, specific student names and project details remain undisclosed in the provided documentation. Beyond academia, Dr. Ömürlü maintains a professional singing career stemming from his musician family background. He resides in Istanbul with his spouse and two children.

• Machine Learning
• Deep Learning
• Signal Processing
• +7 more

Professor Ender Mete Ekşioğlu serves in the Department of Electrical and Electronics Engineering at Istanbul Technical University, where he has held academic positions since 1999. His current role as Professor began in 2019 following progression from Associate Professor (2013-2019) and Assistant Professor (2005-2012) ranks. PhD in Electronics and Communication Engineering, Istanbul Technical University (2000-2005) Degree from University of Michigan (1994-1997) Additional studies at University of Michigan (1997-1999) Professor Ekşioğlu's research spans Machine Learning, Deep Learning, and advanced Signal Processing with emphasis on medical imaging applications. His work bridges traditional signal processing techniques with modern deep learning approaches, particularly in Magnetic Resonance Image Reconstruction where he applies sparsity principles and neural network architectures. Key focus areas include image denoising, segmentation, and enhancement across medical, underwater, and atmospheric imaging contexts. His publication trends demonstrate consistent innovation in imaging inverse problems, with recent work integrating pixel-level processing with physical modeling in underwater imaging and developing topological awareness for medical image segmentation. The research shows strong continuity between traditional signal processing methods (like DCT) and cutting-edge deep learning architectures. Professor Ekşioğlu has led six significant research projects funded by TUBITAK and BAP, including 'Deep Learning in Image Processing Inverse Problems' and 'Parallel magnetic resonance imaging techniques and applications'. These projects have resulted in substantial research output with applications spanning medical diagnostics to remote sensing. h-index of 13 based on Scopus citations 2000+ total research outputs Active supervision of 27 theses in progress His laboratory work focuses on imaging inverse problems, with particular strength in MRI reconstruction techniques that combine deep learning with recursive algorithms. Current research directions include topological awareness in segmentation networks and hybrid approaches that integrate traditional signal processing with neural networks for improved robustness.

Eyüp Fahri KeskenlerView profile

Professor

• Physics
• Condensed Matter Physics
• Semiconductors
• +3 more

Eyüp Fahri Keskenler is a Professor at Bayburt University, where he holds dual roles as Acting Dean of the Faculty of Art and Design and faculty member in the Basic Education Department. His administrative responsibilities extend to chairing the Faculty Board, Faculty Board of Directors, and Department Quality Commission, while also serving on university-wide committees including the Senate, Ethics Committee, and Academic Promotion Evaluation Commission. His research focuses on semiconductor physics and materials science, with specialization in: Condensed matter systems and microelectronic applications Thin film fabrication using sol-gel and spray pyrolysis techniques Doping effects in semiconductor materials (ZnO, CdS, CZTS) Device physics of Schottky diodes and heterojunction solar cells Computational optimization methods in materials science Publication analysis reveals two primary research streams: semiconductor material development (75% of recent output) exploring doping strategies and deposition methods for optoelectronic applications, and computational studies (20%) addressing algorithm optimization. A minor historical research thread examines Turkish scientific heritage and computing history.

• Computer Architecture
• Multicore Systems
• High-Performance Computing
• +7 more

SANEM ARSLAN YILMAZ is an Assistant Professor in the Department of Computer Sciences, Faculty of Engineering, at Marmara University . She earned her Ph.D. in Computer Engineering from Boğaziçi University in 2017 and completed a post-doctoral fellowship at the Barcelona Supercomputing Center (BSC) from November 2019 to October 2020. Research Focus: Computer Architecture, Multicore Systems, High-Performance Computing, Fault Tolerance, Reliability, and Parallel Programming. Contact: sanem.arslan@marmara.edu.tr Her research spans hardware-software co-design, reliability engineering, and parallel computing. She has contributed to 12 Web of Science-indexed publications and maintains an H-index of 12 (Web of Science) and 16 (Scopus). Her work aligns with the UN Sustainable Development Goals , particularly in technology and computing domains.

Cüneyt F. BazlamaçcıView profile

Professor

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +5 more

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

• Computer Architecture
• Reliable Computer Design
• Fault Detection and Recovery
• +3 more

Gülay YALÇIN is an Assistant Professor at Abdullah Gul University since 2016. She holds a Ph.D. in Computer Architecture from Universitat Politècnica de Catalunya (2014), an MS in Computer Engineering from TOBB University (2007), and a BS in Computer Engineering from Hacettepe University (2003). Her research focuses on reliable computer design, fault detection, parallel architectures, and low-power systems. She has led projects like ParaDIME (2012-2015) and Velox (2008-2011), advancing energy-efficient computing and transactional memory. Education: Ph.D., Universitat Politècnica de Catalunya, Department of Computer Architecture (2008-2014) M.S., TOBB University of Economics and Technology, Computer Engineering (2007) B.S., Hacettepe University, Computer Engineering (2003) Research Interests: Her work spans fault-tolerant computing, energy-efficient designs, hardware transactional memory, and parallel architectures. She has contributed to error detection techniques leveraging comparators, voltage scaling for reliability, and novel cache designs like Flexicache. Key Projects: ParaDIME (2012-2015): Energy minimization in data centers. Shortlisted for the 2016 Innovation Radar Prize. Velox (2008-2011): Transactional memory for multi-core systems. Reliable Embedded Processors (2007-2008): Fault mitigation in embedded systems. Teaching: She teaches undergraduate courses on 'Exploring Profession' and graduate courses on 'Computer Architecture.' Advising: Currently advising M.S. student Albert Njoroge Kahira on reliable microarchitecture design. Labs/Teams: Active in the Barcelona Supercomputing Center (BSC) during her postdoc (2014-2015) and as a graduate researcher (2009-2014).