Find Academic Supervisors

• Operations Research
• Scheduling
• Production Planning
• +7 more

Zehra Düzgit is an Assistant Professor in the Department of Industrial Engineering at Istanbul Bilgi University, where she has been serving since 2020. She earned her PhD in Industrial Engineering from Boğaziçi University in 2015 and has remained affiliated with Istanbul Bilgi University as an Instructor (2015–2020) and Research Assistant (2011–2015). Her academic work is centered on optimization and logistics within industrial systems. Education: PhD, Industrial Engineering, Boğaziçi University, 2015 MS, Engineering and Technology Management, Boğaziçi University, 2007 BS, Systems (Industrial) Engineering, Yeditepe University, 2003 Her research interests include Operations Research, Scheduling, Production Planning, Warehouse Optimization, and Meta-heuristic Algorithms. She applies these to real-world problems in logistics, manufacturing, and service systems. Her work often involves algorithmic solutions for warehouse order picking, hybrid flowshop scheduling, and due date assignment under dynamic and stochastic environments. The recent articles demonstrate a strong focus on warehouse logistics, particularly in automotive and food packaging industries, with increasing integration of robotics and automation. Her publications span journal articles, book chapters, and conference proceedings, showing consistent scholarly output. She frequently collaborates with students and colleagues on applied industrial engineering problems. Scientific Contributions: Extensive publications in peer-reviewed journals and conference proceedings Contributions to Springer Lecture Notes and edited volumes Active participation in national and international conferences (YA/EM, ISPR, LMSCM, EURO) Zehra Düzgit has advised numerous students on research projects related to production planning, scheduling, and logistics. Her teaching portfolio includes core industrial engineering courses such as Optimization Methods, Production Planning and Control, and Engineering Statistics. She has not received any explicitly mentioned scientific awards. She is involved in research teams focusing on warehouse systems, scheduling algorithms, and logistics optimization, often in collaboration with industry partners.

Vildan Üstoğlu ÜnalView profile

Professor

• Quantum Physics
• Nanotechnology
• Computational Fluid Dynamics
• +3 more

Prof. Dr. Vildan Üstoğlu Ünal is a Professor in the Department of Physics at Yeditepe University's Faculty of Arts and Sciences. She holds a PhD in Space Engineering from Istanbul Technical University (2003) and has held academic positions since 1993, progressing from Research Assistant to full Professor. Her research focuses on quantum structures (quantum dots/wells), nonlinear optics, computational fluid dynamics, and parallel computing methodologies. Education: BSc in Physics Education (Marmara University), MSc in Physics (Marmara University), PhD in Space Engineering (Istanbul Technical University) International Collaboration: NATO-funded study at Von Karman Institute (Belgium) Her work explores optical properties of nanostructures under external fields and develops high-performance numerical methods for fluid dynamics simulations. Key contributions include parallel Navier-Stokes equation solvers and quantum confinement effects modeling. Awards: NATO Scholarship, Department Valedictorian (Marmara University), Best Paper Award at XII. Mekanik Kongresi Administrative Roles: Department Chair (2018–present), Dean's Assistant (2006), and Department Deputy Chair (2005) She has supervised 1 major thesis and contributed to projects like BRITE-EURAM. Her teaching spans physics courses from undergraduate to doctoral levels.

Ali Ömer BAYKARView profile

Assistant Professor

• Mechanical Engineering
• Control Systems
• Robotics
• +5 more

Ali Ömer BAYKAR is an Assistant Professor at the Turkish-German University , Faculty of Engineering, Department of Mechanical Engineering. He holds a PhD in Mechanical Engineering from Istanbul Technical University (2016) and TU Berlin, with M.Sc. degrees in Automotive Engineering and System Dynamics and Control from Istanbul Technical University, and a B.Sc. in Mechanical Engineering from Kocaeli University. PhD (2016): Istanbul Technical University (Prof. Dr. Lambrecht, TU Berlin) M.Sc. (2013-2016): Automotive Engineering, Istanbul Technical University M.Sc. (2014-2016): System Dynamics and Control, Istanbul Technical University B.Sc. (2006-2011): Mechanical Engineering, Kocaeli University His research focuses on control systems , robotics , and rehabilitation engineering , particularly leveraging Mecanum wheel dynamics and assistive technology for mobility solutions. He has contributed to projects involving omni-directional wheelchairs, parallel robots for rehabilitation, and IoT-based smart systems. His 2016 conference paper explores optimizing control algorithms for Mecanum wheel-driven wheelchairs, reflecting his expertise in applied mechanical design and dynamic control . Current projects include additive manufacturing analysis and IoT system management. Contact: baykar@tau.edu.tr | Office: Z24, Faculty of Engineering Building, Şahinkaya Cad. 94, Beykoz/İstanbul | Phone: +902163333183

• GPU Computing
• Parallel Processing
• Computer Architecture
• +5 more

Ayşe Yılmazer Metin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University's Faculty of Computer and Informatics. Her research focuses on computer architecture, GPU computing, and hardware security, with significant contributions to parallel processing systems and cryptographic implementations. Her educational background includes: PhD from Northeastern University (2010-2013) Degree from University of Rhode Island (2004-2007) Licence from Hacettepe University, Department of Computer Engineering (1991-1998) Dr. Yılmazer Metin's research interests center around GPU architecture and parallel computing systems. Her work addresses critical challenges in synchronization mechanisms for multi-GPU systems, power and energy measurement of embedded GPUs, and efficient implementations of cryptographic algorithms on specialized hardware. She has developed novel approaches to scope promotion in GPU environments, which significantly reduce communication overhead in multiprocessor systems. Her recent work has expanded into healthcare applications, developing privacy-preserving systems for real-time ECG monitoring and exploring homomorphic encryption techniques for secure computation. Her publication record shows a clear trajectory from fundamental GPU architecture research toward security applications and healthcare technology. Early work focused on GPU synchronization and memory management, while more recent publications demonstrate applications in secure medical systems and homomorphic encryption. This evolution reflects a strategic expansion of her core expertise in computer architecture into security-critical domains where hardware-level optimizations can provide significant advantages. Dr. Yılmazer Metin has served as Principal Investigator on multiple research projects: "Time-Critical Job Management in Multi-CPU + Multi-GPU Distributed Heterogeneous Systems" (2018-2019) "A Single-Processor GPU Architecture for More Efficient Graph Algorithms" (2018-2021) "Programmable Synchronization Architecture" (2018-2022) Her laboratory work focuses on GPU architecture and hardware security, with particular emphasis on developing efficient implementations of cryptographic algorithms on GPU platforms and optimizing graph neural network inference on heterogeneous computing systems.

• Bayesian Statistics
• Signal Processing
• Mathematical Modeling
• +6 more

Dr. Mehmet Cevri is an Assistant Professor at Istanbul University's Faculty of Science, Department of Mathematics, where he has been serving since 2011. He specializes in Bayesian statistical methods, signal processing, and mathematical modeling with applications spanning from genetics to engineering. Education: 2003-2009: Doctorate in Mathematics/Applied Mathematics, Marmara University Institute for Graduate Studies in Pure and Applied Sciences 1999-2002: Postgraduate in Mathematics/Applied Mathematics, Marmara University 1995-1999: Undergraduate in Mathematics Education, Marmara University Ataturk Faculty of Education Research Focus: Dr. Cevri's research encompasses a broad spectrum of mathematical and computational methods, with particular emphasis on Bayesian inference and signal processing . His work includes developing sophisticated algorithms for extracting sinusoidal signals from noisy data, analyzing genetic traits using Bayesian methods, and applying mathematical clustering techniques to biological data. His expertise extends to optimization techniques, stochastic processes, and numerical analysis. His recent publications demonstrate a consistent focus on Bayesian approaches to signal processing problems , particularly in recovering sinusoids from noisy environments. He has also applied his mathematical expertise to biological problems, including the analysis of ostracoda habitat preferences and genetic trait transmission probabilities. Research Projects: 2015: "Bayesian Estimates of Genetic Characters" (Project Executive) 2012-2014: "Family Tree Analysis with Bayesian Logical Inference Method" (Project Executive) 2013: "Performance Analysis of Gibbs Sampling in Bayesian Inference of Sinusoids" (Project Executive) 2010-2013: "Positron Lifetime Spectrum Analysis with Bayesian Statistical Inference" 2007-2010: "Bayesian Spectrum Estimation of Harmonic Signals" 2007-2010: "Bayesian Model Selection and Parameter Estimation" Teaching and Supervision: Dr. Cevri teaches a variety of mathematics courses ranging from foundational mathematics to specialized topics like integral transforms and Bayesian data analysis. He has supervised multiple thesis students including F. Fırat and E. Serhan, contributing to the development of future researchers in mathematical sciences.

• Public Finance
• Risk Management
• Internal Audit
• +3 more

Halis KIRAL is an Associate Professor at the Faculty of Political Sciences , Department of Economics , Ankara Social Sciences University , Turkey (2020–present). He holds a PhD in Economics from Hacettepe University (2013–2016), a Master’s in Economics from the University of Illinois at Urbana-Champaign (2010–2012), and a Bachelor’s in Finance from Gazi University (1994–2000). His research spans Public Finance , Risk Management , Internal Audit , and Fiscal Policy . Recent work examines digital transformation in audit competencies, municipal service delivery prioritization, and risk management maturity models. His 15 most recent publications (2024–2017) include analyses on fiscal multipliers, social capital impacts, and game-theoretic approaches to audit role conflicts. 2019 International Quality Publication Award 2019 Internal Audit Profession Contribution Award 2018 TUBITAK Academic Incentive Award He has supervised 15 thesis students (2025–2020) in topics like blockchain applications in public auditing, supply chain risks, and corporate risk maturity. His projects include technical assistance for audit capacity-building (2024, UN-supported) and studies on social innovation in public institutions.

Husnu YenigunView profile

Professor

• Automata Theory
• Concurrency Theory
• Formal Methods
• +5 more

Husnu Yenigun is a Professor at Sabanci University's Computer Science and Engineering Program , Faculty of Engineering and Natural Sciences (Istanbul, Turkey). He earned his BSc, MSc, and PhD in Electrical and Electronics Engineering from Middle East Technical University (Ankara) in 1992, 1995, and 2000 respectively. His professional career includes roles at TUBITAK (1992-1997), Bell Laboratories (1997-1998), and as a consultant at Bell Labs (1999-2000). Research interests: Dr. Yenigun specializes in automata and concurrency theory, formal methods, software quality assurance, model checking, and complexity relief techniques for software verification. His work bridges theoretical automata analysis with practical testing frameworks. Key publication trends: His recent work spans automata synchronization (2018-2021), matrix optimization (2017-2018), and adaptive testing sequences (2016-2018), with applications in Wireless positioning systems Finite state machine verification Parallel computing Formal method implementations Professional activities: He serves on technical program committees for major conferences like MODELSWARD, QRS, and ICTSS (2016-2025). He chaired the programming committee for ICTSS 2013 and 2017, and co-chaired UYMS 2018. He also acted as guest editor for the International Journal on Software Tools for Technology Transfer (2016). Contact: yenigun@sabanciuniv.edu | Office: FENS 2054, Sabanci University

• Optimization
• Multi-criteria Decision Making
• Production Planning
• +2 more

Selin Özpeynirci is a Professor in the Department of Industrial Engineering at the Faculty of Engineering, İzmir University of Economics, where she has been employed since February 2008. Her academic career began as a research assistant at Middle East Technical University's Department of Industrial Engineering from 2002 to 2007, where she also completed all her degrees. She has held visiting researcher positions at prestigious French institutions including Ecole Centrale Paris (2014-2015) and Centrale Supelec (2019-2020), supported by TÜBİTAK 2219 grants. Her educational background includes: B.S. in Industrial Engineering, Middle East Technical University (2002) M.S. in Industrial Engineering, Middle East Technical University (2004) Ph.D. in Industrial Engineering, Middle East Technical University (2007) Özpeynirci's research focuses on optimization methodologies applied to complex industrial systems. She specializes in multi-criteria decision making frameworks that address real-world constraints in production environments. Her work bridges theoretical advances in mathematical programming with practical applications in manufacturing scheduling and resource allocation. Current investigations emphasize interactive algorithms that incorporate human decision-maker preferences into computational models, particularly for sorting and selection problems with equity considerations. Analysis of her 15 most recent publications reveals a strong trajectory in inverse multiple criteria problems and constrained resource allocation. Her work consistently integrates flexible manufacturing systems concepts with advanced decision theory, showing increasing sophistication in handling preference uncertainty and balance requirements. The publications demonstrate methodological evolution from classical scheduling approaches toward hybrid interactive-optimization frameworks that accommodate human judgment in complex decision environments. Her scientific recognition includes: TÜBİTAK 2219 Research Grant for Ecole Centrale Paris (2014-2015) TÜBİTAK 2219 Research Grant for Centrale Supelec (2019-2020) Özpeynirci actively collaborates with international researchers including Vincent Mousseau (France), Özgür Özpeynirci (Turkey), and Burak Gokgur (Turkey) on projects spanning multiple criteria decision analysis and production systems optimization. Her current research agenda explores drone-integrated logistics and advanced decomposition methods for large-scale inverse sorting problems, supported by ongoing institutional affiliations and research grants. While specific lab information isn't provided in the source material, her work clearly operates within the industrial engineering research ecosystem focused on computational decision support systems.

• Renewable Energy Systems
• Power Electronics
• Electrical Machines and Energy Conversion
• +8 more

Assoc. Prof. Dr. Salih Barış Öztürk is an Associate Professor at the Department of Electrical Engineering, Istanbul Technical University. His research focuses on renewable energy systems, power electronics, and control of electrical machines, with applications in electric vehicles and smart grids. Education : PhD in Electrical Engineering from Texas A&M University (2006), B.S. from Istanbul Technical University (2000). Research Interests include: Fault diagnosis and condition monitoring of electrical machines Modern control theory for motor drives Integration of machine learning in energy conversion Power electronics for renewable energy systems Recent Publications address topics like SiC MOSFET converter design, PV system performance optimization, and neural network-based fault detection in motors. Scientific Awards : IEEE Senior Member (2019) UTRC Outstanding Achievement Award (2009) IEEE-IECON 2008 Best Paper Award - Second Prize Academic Excellence Scholarship (2004) Second Place in ITU Electrical Engineering Department (2000) Professional Memberships : IEEE (2002-present), TMMOB Chamber of Electrical Engineers (2009-present).

Haluk TopcuogluView profile

Professor

• Multicore Architectures
• Parallel Algorithm Design
• Fault Tolerant Computing
• +5 more

Haluk Topcuoglu is a Full Professor in the Department of Computer Engineering at Marmara University's Faculty of Engineering. He holds a PhD from Syracuse University (1999) and has been at Marmara University since 1999, progressing through roles as Assistant, Associate, and Full Professor. His research focuses on multicore architectures, parallel algorithms, fault tolerance, dynamic optimization, and hybrid evolutionary algorithms. He has led multiple funded projects, including TUBITAK initiatives on reliability optimization and sensor placement. Education: PhD in Computer Science (Syracuse University, 1999), MSc and BSc in Computer Engineering (Boğaziçi University, 1993 and 1991). Research Interests: Task scheduling for multicore systems, reliability-aware computing, dynamic optimization, and applications of evolutionary algorithms in cloud/fog computing. His work emphasizes balancing performance, energy efficiency, and fault tolerance in parallel systems. Awards include the 2008 IBM Faculty Award, 2010 IEEE ISDA Best Paper Award, and Marmara University's 2012 Publication Impact Award. He has supervised 4 PhD and 19 MSc theses, with ongoing research in machine learning-assisted metaheuristics and dynamic monitor selection. Editorial roles include Cluster Computing Journal (SCI-Expanded) and Journal of Aeronautics and Space Technologies. He teaches courses on evolutionary computing, multicore computing, and parallel processing. Current projects include cross-layer reliability frameworks and scheduling algorithms for fog computing, reflecting his focus on industry-relevant computational challenges.

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +4 more

Dr. Işıl Öz is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University and a Ph.D. from Boğaziçi University. Before joining IZTECH in 2018, she worked as a postdoctoral researcher and ERCIM/Marie Curie Fellow at the Swedish Institute of Computer Science (SICS). Her research focuses on computer architecture, performance optimization, and reliability of multi-core systems, with a strong emphasis on fault-tolerant computing and GPGPU applications. Key projects include the TÜBİTAK-funded FTGPGPU initiative analyzing hardware fault tolerance for GPU applications. She teaches courses such as Operating Systems, Advanced Computer Architecture, and Parallel Programming Patterns. Her work spans machine learning-based vulnerability prediction, compiler design for reliable execution, and approximation techniques for efficient parallel computing. Publications appear in venues like ACM Computing Surveys, The Journal of Supercomputing, and International Journal of Parallel Programming. Awards: ERCIM/Marie Curie Fellowship Labs/Teams: Parsiyte Research Group (focused on parallel and distributed systems) Grants: TÜBİTAK ARDEB 3501 (FTGPGPU project)

Serap ŞahinView profile

Assistant Professor

• Cybersecurity
• Information Systems Security
• Cryptology
• +5 more

Serap Şahin is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.S. (1987), M.Sc. (1989), and Ph.D. (2006) in Computer Engineering from Ege University. Her academic career began in 2002 after working at Arkas Holding as an Information Systems Coordinator, where she managed transportation and logistics systems. She completed a postdoctoral fellowship at the European Commission’s Joint Research Center (2010) focusing on Next Generation Network Security, supported by TUBITAK. Her research interests span cybersecurity, information systems security, cryptology, and cloud computing security. Notable contributions include studies on social network privacy, blockchain applications, forensic data analysis, and homomorphic encryption systems like EDU-VOTING. She has published widely in journals such as the International Journal of Information Security Science and Turkish Journal of Electrical Engineering and Computer Sciences. Key achievements include a TUBITAK Postdoctoral Fellowship (2010) and leadership in projects like “Homomorphic Cryptosystem Based Electronic Election System Solution” funded by BAP. Her work bridges theoretical cryptography with practical applications in secure communication, data privacy, and network security.

Bilgin AVENOĞLUView profile

Associate Professor

• Artificial Intelligence
• Software Engineering
• Cloud Computing
• +4 more

Dr. Bilgin AVENOĞLU is an Associate Professor at Ankara Üniversitesi's Faculty of Engineering, Department of Software Engineering (since 2022). Previously, he held full-time positions at TED Üniversitesi in similar roles. He holds a Ph.D. in Computer Systems from Orta Doğu Teknik Üniversitesi (2014), an MSc in Computer and Instructional Technology Education (2005), and a BSc in Computer Education (2001). Research Interests: Artificial Intelligence applications in pervasive computing Middleware systems and cloud-based frameworks Optimization algorithms for multi-dimensional problems Context-aware and workflow-based systems Recent Research Trends: Focuses on integrating physiological data with human-machine interfaces, developing robust optimization methods, and middleware solutions for multi-modal interactions. His work bridges software engineering with ambient intelligence and cloud computing. Awards: No awards explicitly listed, but active in TÜBİTAK-funded projects. Grants & Projects: Led a 2018-2022 TÜBİTAK/TÜBA project on physiological data infrastructure for human-machine applications. Collaborates with institutions like Orta Doğu Teknik Üniversitesi and İnönü Üniversitesi. Labs/Teams: No dedicated lab mentioned, but active in cross-institutional research collaborations.

Emrah DönmezView profile

Associate Professor

• Robotics
• Machine Learning
• Computer Vision
• +3 more

Emrah Dönmez is an Associate Professor at the Software Engineering Department of Bandırma Onyedi Eylül University's Faculty of Engineering and Natural Sciences. He previously held academic roles at institutions like Malatya Turgut Özal University and Inönü University. His research focuses on robotics, AI applications in logistics, cybersecurity, and medical imaging. He has led projects on autonomous robots, smart logistics, and cybersecurity systems. Education: PhD and research assistantships at Istanbul Technical University and Bingöl University. His academic contributions include co-authoring a book on accounting standards and publishing extensively in IEEE journals and conferences. He teaches courses on artificial intelligence, robotics, and logistics systems. Research highlights include developing vision-based mobile robot control systems, deep learning models for medical diagnostics, and cybersecurity frameworks. He has led over 10 projects, including smart pathology lab systems and autonomous robot navigation. Grants: TÜBİTAK-funded projects on multi-robot control and smart logistics infrastructure. Labs: Robotics and Computer Engineering labs at Bandırma University. Advising: Supervised master's theses on plant disease classification and robotics.

Akhlaque AhmadView profile

Assistant Professor

• Algorithms
• Computer Networks
• Theoretical Computer Science
• +4 more

Dr. Akhlaque Ahmad is an Assistant Professor in Software Engineering at TED University's Faculty of Engineering. He earned his Ph.D. in Electronics and Telecommunications from Politecnico di Torino, Italy, with industry experience at STMicroelectronics Milano and contributions to EU FP7 REVERIE project on virtual tele-immersion systems. His research spans: High-performance computing architectures Parallel algorithms for graph processing GPU optimization techniques Intelligent systems design Professor Ahmad teaches courses including Database Systems, Artificial Intelligence, and Operating Systems. He actively promotes interdisciplinary connections between software engineering and liberal arts education.