Find Academic Supervisors

• Electronics
• Analog Design
• Circuits and Systems Theory
• +4 more

Professor İsmail Serdar Özoğuz is a distinguished academic at Istanbul Technical University , affiliated with the Department of Electronics and Communication Engineering . Holding the title of Professor since 2009, he has contributed extensively to analog circuit design, neural network applications, and wireless communication systems. Ph.D. in Electronics and Communications Engineering (1995) Department Head (2020-present) Vice Dean (2017-2020) Research Interests: His work spans Electronics , Analog Design , Circuits and Systems Theory , with recent focus on: Neural network-based filter optimization Memristor emulator circuits Spintronic devices for wireless and memory applications Intelligent optimization in RF designs Article Trends: Recent publications highlight AI integration in engineering challenges, power efficiency in wireless systems, and hardware-software co-optimization . His work bridges theoretical models (e.g., fractional-order neural networks) with practical implementations (e.g., GaN amplifiers). Scientific Awards: GEBIP Award (TUBA), 2002 Mustafa Parlar Foundation Research Incentive, 2003 TUBITAK Incentive Award, 2004 Grants & Projects: As Principal Investigator, he has led initiatives on: Spintronic devices for wireless/memory/analog uses Passive combiners in HF transmitters High-power GaN amplifier development Fractional-order neural network models

• Renewable Energy Systems
• Smart Electricity Grids
• Electrical Energy and Power Systems
• +3 more

Prof. Dr. Belgin Emre Türkay is a Professor at the Department of Electrical Engineering, Istanbul Technical University. Her work spans renewable energy systems, smart grids, and power engineering, with a focus on optimization algorithms and energy storage integration. Education: PhD in Electrical Engineering, Istanbul Technical University (1986). Her research interests include: Renewable Energy Systems Smart Electricity Grids Electrical Energy and Power Systems Optimization Algorithms for Dynamic Economic Dispatch Recent publications explore applications of quantum genetic algorithms, grey wolf optimizers, and puma optimizers in power systems, alongside integration of regenerative energy in metro lines and sustainable sources in data centers. Notable scientific recognition includes the Best Paper Track award (2023). Projects include coordinated control of energy storage systems and demand-side management for smart homes (2020-2023).

Anil KuşView profile

Lecturer

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +8 more

Anil Kuş is a Lecturer at Yozgat Bozok University's Boğazlıyan Vocational School, specializing in applied AI research and teaching. He holds a Ph.D. candidacy at Mersin University and has 10 years of experience in software engineering, focusing on Web/Mobile development and AI applications. Education: Ph.D. Candidate, Mersin University (ongoing) Research Interests: Bridging academic research with real-world applications, particularly in Large Language Models (LLMs), Explainable AI (XAI), Generative AI, Vision-Language Models (VLMs), and Human-Robot Interaction. Active in developing deep learning models using Python, PyTorch, TensorFlow, and NLP libraries like Transformers and spaCy. Projects & Innovation: Led interdisciplinary R&D projects at Toros University's Smartlab Technology Center, resulting in patents and utility models. Research presented at conferences and applied in innovation-oriented projects. Labs/Teams: Formerly part of the Smartlab Technology Center, focusing on AI-driven software development and R&D collaboration.

• Algorithms and Computational Theory
• Robotics
• Artificial Intelligence
• +4 more

Prof. Dr. Sanem Sariel Uzer is a Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering within the Faculty of Computer and Informatics. He holds a PhD in Computer Engineering from ITU and has been teaching since 2007, specializing in Artificial Intelligence, Robotics, and Algorithms. He leads the ITU Artificial Intelligence and Robotics Laboratory and coordinates the Game and Interaction Technologies Master's Program. Education: B.Sc. in Control and Computer Engineering (1995-1999), M.Sc. and Ph.D. in Computer Engineering (1999-2007), all from ITU. He conducted research at Georgia Institute of Technology (2004-2006) and served as a visiting researcher at the University of South Florida (2008) and University of Pennsylvania (2011). Research focuses on cognitive robotics, multi-robot team strategies, lifelong learning for robots, and reinforcement learning applications. His work includes developing open-source robot vision systems and safety-critical manipulation techniques. He has led TUBITAK projects on artificial learning methods and humanoid robotics. Awards include TÜBİTAK's 2018 Technology Award for collaborative robotics software and multiple project performance recognitions. He is an active member of IEEE, AAAI, and RoboCup's executive board, co-founding Turkey's Robotics Conference (ToRK). Advising over 30 graduate students, his lab has contributed to RoboCup competitions and developed systems for robot vision and environment modeling. Current projects explore deep reinforcement learning for daily task automation in humanoid robots.

• Computer Science
• Software Engineering
• Cybersecurity
• +3 more

Zühal Aslan Akyol is a Lecturer at the Department of Computer Technologies within Cide Rifat Ilgaz Vocational School at Kastamonu University, Turkey . She has been serving full-time since 2013 and was promoted to Department Head in 2025. Her academic journey includes a PhD in Information Systems (2018-2023) and a Master's in Electronics and Computer Education (2010-2013) from Gazi University , and a BSc in Computer Engineering (2017-2021) from Kastamonu University . PhD: Gazi University, Informatics Institute, Information Systems (2018-2023) Master's: Gazi University, Informatics Institute, Electronics and Computer Education (2010-2013) BSc: Kastamonu University, Faculty of Engineering and Architecture, Department of Computer Engineering (2017-2021) Her research focuses on Computer Science and Optical Engineering , particularly in fiber optic systems , database management , and programming education . Her publications emphasize data mining applications in optical amplifiers, remote laboratory design , and software tools for engineering education . She has contributed to projects like the Real-Time Remote Accessible Fiber Optic Systems Laboratory and the Bilgisayar Donanımı Mobil Destekli Eğitim Simülatörü (BDMES) . While she has co-authored articles on topics like noise figure enhancement in EDFA and temperature-dependent gain analysis , no explicit scientific awards are listed in the provided data.

Fatih BayView profile

Professor

• Neutrino Physics
• Particle Physics
• Detector Development
• +3 more

Fatih Bay serves as Full Professor and Chair of the Department of Mechanical Engineering at Antalya Bilim University since 2020, leveraging his physics expertise in an engineering leadership role. With a Ph.D. in Physics from the University of Bern (2012), he has driven major contributions to neutrino physics through international collaborations at CERN, Fermilab, and KEK, currently focusing on the DUNE experiment's quest to explain matter-antimatter asymmetry. His academic journey features: B.Sc. in Physics, Kocaeli University (2004) M.Sc. in Physics, Middle East Technical University (2008) Ph.D. in Physics, University of Bern, Switzerland (2012) Dr. Bay's research centers on experimental neutrino physics and advanced detector development, specializing in liquid argon time projection chambers, emulsion detectors, and iron-scintillator calorimeters. His current work with DUNE integrates deep learning for neutrino interaction reconstruction while exploring supernova neutrino detection capabilities. This builds upon foundational contributions to OPERA, T2K, and MicroBooNE experiments. Analysis of his 2023-2025 publications reveals dominant focus on DUNE detector systems, with emerging trends in AI-driven event reconstruction, liquid argon purity optimization, and multi-detector synergies for supernova neutrino studies. His work bridges particle physics methodology with cutting-edge computing techniques to enhance detection precision in large-scale experiments. His exceptional contributions earned recognition through: Breakthrough Prize in Fundamental Physics (2016) for T2K experiment leadership Dr. Bay secured significant research funding including a TÜBİTAK 'Returning Researchers' fellowship (2015) and leads international collaborations requiring substantial project resources. While student advising details aren't specified, his department chair role implies graduate mentorship in mechanical engineering contexts. His laboratory work spans CERN (Switzerland), KEK (Japan), and Fermilab (USA) facilities, with current focus on DUNE's vertical drift technology development and ProtoDUNE-SP calibration systems.

Yüksel YurtayView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Data Science
• +8 more

Assoc. Prof. Dr. Yüksel Yurtay is an active faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. With a career spanning over three decades at the university since 1993, he has established himself as a prominent researcher and educator in the fields of data science, artificial intelligence, and business analytics. Education: Doctorate (2011-2020): Sakarya University, Institute of Business Administration/Production Management and Marketing, Thesis: "An empirical study on the impact of the dashboard on decision processes in the context of supply chain management" Master's (1996-1998): Sakarya University, Institute of Social Sciences/Production Management and Marketing, Thesis: "Activity based costing system and an application in electro-mechanical industry" Bachelor's (1987-1991): Anadolu University, Faculty of Arts and Sciences/Mathematics Dr. Yurtay's research focuses on the intersection of data science and business applications, with particular emphasis on dashboard systems, key performance indicators, and supply chain management. His work bridges theoretical computer science with practical business applications, developing innovative solutions for performance monitoring, decision support, and process optimization. His research portfolio demonstrates consistent productivity with publications spanning from 2018 through 2025, showing no signs of slowing down. Analysis of Dr. Yurtay's recent publications (2018-2025) reveals several key research trajectories: a strong focus on dashboard and KPI systems for business decision-making, growing interest in AI applications for emotion recognition (particularly in call center contexts), development of novel metaheuristic algorithms for optimization problems, and application of computer vision techniques for specialized detection tasks. His work consistently combines theoretical algorithm development with practical business applications. Dr. Yurtay has successfully secured research funding from prestigious sources including TÜBİTAK (project 1505) and industry partnerships with companies like Turkcell Global Bilgi. His current projects focus on real-time emotion recognition using deep learning and business process optimization. As an educator, Dr. Yurtay teaches core courses in numerical analysis, software engineering, computer engineering design, and data science. He has supervised graduate theses, including Akın YAŞAR's work on real estate photo quality evaluation using deep learning. His teaching portfolio reflects his expertise across both theoretical computer science and applied data analytics.

Mahmut AykaçView profile

Assistant Professor

• Electrical and Electronics Engineering
• Communication Engineering
• Image Processing
• +3 more

Assistant Professor Mahmut Aykaç is affiliated with Gaziantep University, Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a Doctorate (2010-2018), Master's (2006-2009), and Licence (2001-2006) in Electrical and Electronics Engineering from Gaziantep University, specializing in Circuits and Systems Theory. His research spans Image Processing , Machine Learning , and Wireless Communication Systems , with a focus on RFID localization ZigBee-based navigation Chaos theory in cryptography Edge computing for neural networks Legacy textile system modernization Scientific contributions include 7 refereed journal articles and participation in 7 international conferences. Notable projects: ZigBee Campus Navigation System (2013-2017) Jacquard Loom Control System Modernization (2007-2009) Supervised master's theses on: Single-band GSM RF energy harvesting Automatic power factor correction systems Received certification as expert witness in Expropriation and Electrical Engineering fields.

• Translation Studies
• Computer Assisted Translation
• Translation Education
• +4 more

İnönü Korkmaz is an Associate Professor in the Department of Translation and Interpreting at the Faculty of Letters, Trakya University, Turkey. She has served as a lecturer since 2009, achieving Assistant Professor rank in 2016 and Associate Professor in 2021. Her career focuses on translation pedagogy and technological integration in translation workflows. Her academic credentials include a Bachelor's (1999) and Master's (2009) in English Language Teaching from Trakya University, followed by a Doctorate in Translation Studies from Istanbul University (2016). Dr. Korkmaz's research centers on Computer-Assisted Translation tools, translator training methodologies, and cultural transfer challenges. She investigates functional approaches in technical translation, particularly user manuals, while examining psychological factors affecting translation students' autonomy and competence development. Analysis of her 2013-2018 publications reveals consistent emphasis on SDL Trados Studio applications, EMT framework implementation in curriculum design, and cross-disciplinary studies comparing translation students with nursing cohorts. Her work bridges technological, pedagogical, and cultural dimensions of contemporary translation practice. No scientific awards were documented in the source material.

Ergin AtalarView profile

Professor

• Magnetic Resonance Imaging (MRI)
• MRI Hardware
• MRI Software
• +5 more

Ergin Atalar is a Professor at Bilkent University's Department of Electrical and Electronics Engineering and serves as Director of the National Magnetic Resonance Research Center (UMRAM). Previously, he spent nearly two decades at Johns Hopkins University, where he held professorships in Radiology, Biomedical Engineering, and Electrical and Computer Engineering, and directed the Center for Image Guided Interventions. His research focuses on Magnetic Resonance Imaging (MRI) innovation, including hardware/software development, safety protocols, and interventional MRI techniques. Education: Ph.D. in Electrical and Electronics Engineering, Bilkent University (1991) M.S. in Electrical and Electronics Engineering, Middle East Technical University (1987) B.S. in Electrical and Electronics Engineering, Bogazici University (1985) Dr. Atalar is recognized for re-engineering MRI scanners to enhance performance without increasing costs. His inventions led to the founding of MRI Interventions, Inc. (now ClearPoint Neuro, Inc.) and Troyka Med A.S. He has authored 127 peer-reviewed journal papers, holds 54 U.S. patents, and maintains high citation metrics (h-index=71 via Google Scholar, 17,400+ citations). Scientific Honors: TUBITAK Science Award (2006) Fellow of the National Academy of Inventors (2016) Member of Academia Europaea (2013) Member of Science Academy, Turkey (2012) Fellow of ISMRM (2011)

Mustafa SertView profile

Associate Professor

• Audio Signal Processing
• Machine Learning
• Semantic Multimedia
• +5 more

Mustafa Sert , currently serving as Associate Professor at Başkent University's Department of Computer Engineering and as Vice Dean of the Faculty of Engineering, has made significant contributions to audio signal processing, machine learning, and semantic multimedia. He earned his PhD (2006), MSc (2001), and BSc (1997) in Computer Engineering from Gazi University, supervised by prominent academics. PhD: Gazi University (2006) MSc: Gazi University (2001) BSc: Gazi University (1997) His research focuses on audio-visual content analysis , multimodal information fusion , and machine learning applications in semantic multimedia systems. He leads projects at the intersection of deep learning , speech processing , and acoustic pattern recognition , with work appearing in venues like IEEE Access, ACM Multimedia conferences, and Signal Processing and Communications Applications Conference (SIU). Recent publications demonstrate trends in automated audio captioning , medical speech analysis , and educational data mining , with applications spanning mental health detection, chatbot development, and reviewer selection systems. His work integrates transformer architectures , convolutional networks , and fuzzy decision-making models . Scientific Recognitions: Best Paper Award (7th Eurasian Congress on Emergency Medicine 2021) Outstanding Reviewer Awards (IEEE ICME 2020, 2021) Outstanding Area Chair Award (ACM Multimedia 2024) Academic Leadership includes roles as Senior IEEE Member, technical committee board positions in IEEE CTSoc divisions, and ACM membership. He supervises over 20 graduate students in topics ranging from depression detection through speech to geothermal permeability estimation , while maintaining active involvement in conference organization and journal reviewing for top-tier publications.

Mustafa ÖzuysalView profile

Assistant Professor

• Computer Vision
• Object Detection
• Object Tracking
• +5 more

Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.

• Distributed Systems
• Computer Networks
• Peer-to-peer Algorithms
• +6 more

Öznur Özkasap is a Professor in the Department of Computer Engineering at Koc University's Graduate School of Sciences and Engineering. She serves as Head of Department and has research interests spanning distributed systems, computer networks, and energy-efficient networking protocols. Her work integrates artificial intelligence into distributed computing frameworks and explores security in peer-to-peer systems. Education: PhD (2000), MSc (1994), and BS (1992) from Ege University Research Areas: Distributed Systems, Cloud/Edge Computing, Network Security, and AI applications in distributed environments Her recent publications focus on blockchain-assisted distributed systems, federated learning optimization, and energy-efficient frameworks for software-defined networks. She explores multi-objective load balancing, decentralized energy trading, and secure P2P architectures. Key trends include cross-disciplinary applications of distributed computing in healthcare and energy systems. Professor Özkasap contributes to advancing edge computing, IoT-based sensor systems, and privacy-preserving mechanisms in decentralized environments. Her work addresses challenges in reliable network protocols, microgrid energy sharing, and security vulnerabilities in autonomous systems.

Tolga OvatmanView profile

Professor

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

• Image Processing
• Artificial Intelligence
• Machine Learning
• +6 more

Doç. Dr. Emre Sümer, currently serving as an Associate Professor at the Department of Computer Engineering within Baskent University , focuses on image processing, deep learning, and their applications in medical diagnostics and computer vision. His work bridges artificial intelligence with healthcare and geographic information systems. PhD (2011) : Geodesy and Geographic Information Technologies, Middle East Technical University MS (2004) : Geodesy and Geographic Information Technologies, Middle East Technical University BS (2001) : Computer Engineering, Baskent University His research spans medical imaging (e.g., Parkinson's and Alzheimer's detection), steganography for secure data transmission, and machine learning applications in healthcare and urban planning. Recent publications highlight CNN-based diagnostics, sign language recognition, and innovative advertising systems. Scientific awards include the First Oral Presentation Award at the International Congress on Artificial Intelligence in Health (2020). He has supervised multiple PhD/MSc theses on topics like zero-shot sign language recognition and steganography methods. Email: esumer@baskent.edu.tr