Dr. Semih PAK, a full-time academic researcher at Karabük University's Faculty of Technology, Department of Mechatronics Engineering, focuses on Artificial Intelligence, Optimization Algorithms, and Embedded Systems. His work bridges mechatronic engineering with renewable energy and next-generation communication technologies like 6G. BSc in Mechatronics Engineering (2014), MSc in Mechatronics Engineering (2019), and PhD in Electrical and Electronics Engineering (2021), all from Karabük University. His research explores AI-driven optimization for wind energy systems, 6G microstrip antennas, and intelligent group elevator control. Collaborations include Prof. Dr. Ali Uysal (2017-2019) and Prof. Dr. Hilmi Aygün and Bayram Köse (2021-2022). Publications highlight interdisciplinary applications of AI and algorithmic efficiency improvements. While his scientific awards are not documented, his work emphasizes practical implementations in renewable energy and smart building systems. No specific labs or teams are mentioned in his profile.
Dr. Oya DEMİRER is a Lecturer at the Electrical and Electronics Engineering department within the Faculty of Engineering. Her academic role focuses on teaching and research in engineering disciplines. Department: Electrical and Electronics Engineering School: Faculty of Engineering
Prof. Dr. Filiz Kalelioğlu is a Professor in the Computer and Instructional Technologies Education program at Başkent University. With a PhD in Educational Technologies from Ankara University (2011) and postdoctoral research at King's College London (2017), she has established herself as a leading researcher in computational thinking, programming education, and educational technology. Her work spans multiple educational levels from primary to higher education, with a particular focus on integrating technology into teaching practices. Her educational background includes: Postdoctoral Research (2017) in Computer Science Education at King's College London Master's Degree (2022) in Computer Engineering from Başkent University PhD (2011) in Educational Technologies from Ankara University Master's Degree (2007) in Computer and Instructional Technologies Education from Middle East Technical University Bachelor's Degree (2005) in Computer and Instructional Technologies Education from Başkent University Prof. Kalelioğlu's research primarily focuses on computational thinking development , programming education , and innovative teaching methods in technology-enhanced learning environments. Her work examines how students and teachers develop computational thinking skills through various programming platforms, including block-based and text-based programming languages. She has conducted extensive research on flipped classrooms, physical computing, and the integration of computational thinking across different subject areas. Her studies often employ mixed-methods approaches to understand both cognitive and affective aspects of technology-enhanced learning. Analysis of her 15 most recent publications reveals a strong emphasis on computational thinking assessment and practical implementation strategies across educational contexts. Her research spans primary, secondary, and higher education settings, with increasing focus on inclusive practices for students with disabilities and pandemic-era educational challenges. Recent work shows particular interest in early childhood STEM education, physical programming tools, and the relationship between computational and mathematical thinking. Prof. Kalelioğlu has supervised numerous graduate students and collaborated on multiple research projects including: "Türkiye'de Kaliteli Çıraklık ve Mesleki Eğitim Yoluyla Mülteciler ve Ev Sahibi Toplulukların İstihdama Erişimlerinin Kolaylaştırılması" (2024-2028) "Özel Gereksinimli Yükseköğretim Öğrencilerinin Akademik ve Psiko-Sosyal Açıdan Güçlendirilmesi" (2024) "Social inclusion for seniors by sport" (2023) "Digital Ecosystem for Teacher Training Project" (2024) Her teaching expertise includes courses on Open and Distance Learning, Multimedia Instructional Design, Educational Technologies, Innovative Technologies in Education, and Blended Learning Design.
Prof. Dr. Rifat EDİZKAN is a distinguished Professor at Eskisehir Osmangazi University's Faculty of Engineering-Architecture, Department of Electrical and Electronics Engineering. He currently serves as the Head of Department since 2023 and previously held the position of Vice Rector from 2019-2022. With a career spanning over three decades at the university, he has progressed from Research Assistant to his current professorship. His educational background includes: Bachelor's Degree: Anadolu University (1987) Master's Degree: Anadolu University (1990) PhD: Eskisehir Osmangazi University (2000) Prof. EDİZKAN's research focuses on cutting-edge areas in artificial intelligence and signal processing. His work primarily centers around Artificial Intelligence, Computer Learning and Pattern Recognition, with specific expertise in Audio and Image Processing, Pattern Classification, and Digital System Design. His research has evolved from traditional pattern recognition techniques to modern deep learning applications across diverse domains including medical imaging, agricultural technology, and robotics. An analysis of his recent publications reveals a strong trend toward practical AI applications, particularly in healthcare technology (fall detection systems, medical imaging), agricultural monitoring (plant disease detection), and industrial automation. His work demonstrates a consistent evolution from theoretical pattern recognition to applied machine learning solutions addressing real-world problems. Prof. EDİZKAN has served as Principal Investigator on numerous research projects, including several TUBITAK-funded initiatives. His leadership extends beyond research to academic administration, having served as Department Head twice and as Vice Rector. He has also been actively involved in peer review activities for journals and conferences, and has served on academic promotion committees. His laboratory work appears to focus on practical implementations of AI systems, with recent projects involving elderly care robots, plant disease detection systems, and industrial monitoring solutions. His research group seems to maintain strong industry connections, particularly in the automotive and healthcare sectors.
Assoc. Prof. Emrah Irmak serves as Associate Professor and Deputy Head of Department (2020-2023) at the Department of Electrical and Electronic Engineering, Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University, where he currently holds board membership (2024). Previously, he was Doctor Lecturer and Research Assistant at Karabük University's Department of Biomedical Engineering (2012-2019). His academic credentials include: Doctorate in Electrical-Electronic Engineering, Karabük University (2018) Master's in Electrical and Electronics Engineering, Gaziantep University (2014) Bachelor's degree, Opole University of Technology (2011) Dr. Irmak's research pioneers biomedical image processing with applications in brain tumor progression analysis, cancer diagnosis, and Alzheimer's disease detection. His work integrates deep learning with traditional image processing techniques for medical applications, while extending to tribocorrosion analysis of orthopedic implants and IoT systems for healthcare and mining safety. Key innovations include 3D medical image registration frameworks and novel convolutional neural network architectures for automated pathology detection. His publication trajectory demonstrates consistent advancement in applying AI to critical healthcare challenges, with recent focus on multi-modal diagnostic systems for cancer and neurological disorders through integration of image processing, signal analysis, and deep learning. His scientific recognitions include: Distinction in Scholarship in Physiological Genomics (2020) TÜBİTAK Publication Incentive Award (2021) The World's Most Influential Scientists (Stanford University, 2023 & 2024) Dr. Irmak has supervised Master's students Mustafa Burak Turköz (3D medical image registration for brain tumors) and Ergun Ercelebi (medical image registration for tumor growth analysis), and served as main jury for five graduate thesis defenses at Karabük and Gaziantep Universities. His research projects include: National project on Tribocorrosion Properties of Titanium Implants (2021-2022) National project on 3D Medical Image Registration for Brain Tumor Evolution (2017-2018) He actively contributes to scientific advancement as reviewer for Current Medical Imaging, Health Informatics Journal, Plos One, and Turkish Journal of Electrical Engineering and Computer Sciences, while maintaining international collaboration through Erasmus exchange programs.
Hasan Bülent Yağcı is a Lecturer at Istanbul Technical University's Department of Electronics and Communication Engineering. His work bridges theoretical and applied research in RF engineering, microwave systems, and satellite communication technologies. PhD in Electronics and Communication Engineering (1992) BEng in Electronics and Communication Engineering (1990) Associate Degree in Technical Programs (1985) Active in microwave component design and wireless communication systems, Yağcı's research emphasizes GaN HEMT power amplifiers , satellite communication antennas , and 5G receiver modules . He explores co-simulation techniques between EDA tools and numerical analyzers for optimizing RF circuits. His scholarly contributions (32 research outputs, h-index 7) reflect expertise in microwave engineering , antenna arrays , and low-power communication systems , with applications in small satellites and rail networks.
Professor Zeynep Yasemin Kahya is a distinguished academic in the Department of Electrical and Electronics Engineering at Boğaziçi University's Faculty of Engineering. With a career spanning over three decades at Boğaziçi University, she has progressed from Assistant Professor to her current position as Professor. She has held significant administrative roles including Department Chair (2012-2021) and Deputy General Secretary (2008-2012). Dr. Kahya's research focuses on biomedical signal processing, particularly lung acoustics and respiratory sound analysis. PhD in Biomedical Electronics, Boğaziçi University (1981-87) MS in Electrical Engineering, Yale University (1980-81) BS in Electrical Engineering & Physics, Boğaziçi University (1976-80) Professor Kahya's research interests center on biomedical signal processing with specific emphasis on lung acoustics, respiratory sound analysis, and digital stethoscope design. Her work combines advanced signal processing techniques like wavelet transforms with clinical applications for pulmonary disease diagnosis. She has pioneered methods for pulmonary sound classification, crackle and wheeze detection, and respiratory sound parameterization. Her laboratory, the Lung Acoustics Laboratory (LAL), develops "smart stethoscope" diagnostic systems based on respiratory sounds. Her publications demonstrate a consistent research trajectory in respiratory sound analysis, with recent work focusing on machine learning approaches for pulmonary disease diagnosis. Professor Kahya has successfully translated her research into practical applications, including patented technologies for auscultation data acquisition systems and founding Electrosalus Biyomedikal, a company commercializing smart stethoscope technology. TÜBİTAK high school, undergraduate, and doctoral scholarships (1973-84) Fellowships from MIT, Yale, Stanford, and Caltech for undergraduate studies (1976) Fellowships from Yale and Princeton for doctoral studies (1980) Multiple research grants from Boğaziçi University Research Fund TÜBİTAK TEYDEP grants for smart stethoscope development Professor Kahya has supervised numerous PhD and Master's students, many of whom have worked on projects related to respiratory sound analysis and biomedical instrumentation. She has led multiple research projects funded by Boğaziçi University and external agencies like TÜBİTAK. Her laboratory, the Lung Acoustics Laboratory (LAL), brings together students from various disciplines to work on hardware and software projects related to "smart stethoscope" diagnostic systems.
Ethem Alpaydin is a Professor of Computer Science at Özyeğin University in Istanbul, Turkey. He is a prominent researcher in machine learning and artificial intelligence, with affiliations including membership in The Science Academy, Turkey, and Academia Europaea. He also holds a fellowship with the Asia-Pacific Artificial Intelligence Association. His research focuses on foundational aspects of machine learning, including statistical methods, neural networks, and deep learning. He has contributed to areas such as generative adversarial networks (GANs), decision pathways in neural networks, and distributed decision trees. His work bridges theoretical advancements with practical applications in domains like natural language processing and computer vision. Alpaydin has authored influential textbooks such as Introduction to Machine Learning and Maschinelles Lernen , which are widely used in academic curricula. His publications emphasize model interpretability, regularization techniques, and cross-lingual learning for languages like Turkish. Awards include recognition from leading scientific institutions for his contributions to AI and data science.
Res.Asst.Dr. Seren ÖZSOY is a faculty member at Sakarya University's Faculty of Business Administration, Department of International Trade and Logistics Communication. She holds a PhD from TOBB University of Economics and Technology (2017) and specializes in digitalization impacts, international trade dynamics, and logistics efficiency. Her research focuses on FDI-driven export growth, FinTech adoption, blockchain applications in logistics, and sustainable supply chain practices. She has published in high-impact journals like Journal of International Trade & Economic Development and Eastern European Economics , earning the 'Best Paper 2022' award. Dr. ÖZSOY coordinates the Business School's communication efforts and serves on committees managing international trade initiatives, social media, and quality assurance. She actively contributes to TÜBİTAK-funded research projects exploring digital payment systems, start-up blockchain platforms, and cross-border trade competitiveness. Her teaching portfolio includes courses on technology in trade, entrepreneurship, and research methodologies. Key research areas: Impact of digitalization on high-tech exports FDI and patent-driven export sophistication Blockchain logistics applications FinTech during pandemic economies Freight efficiency determinants Recent grants include TÜBİTAK projects on cross-border e-commerce, start-up tokenization, and international student integration. She serves as a referee for Chaos Theory and Applications and Eastern European Economics , demonstrating her peer-reviewed expertise.
Dr. Lecturer İnci Umakoglu is an Assistant Professor at the Faculty of Engineering , Kütahya Dumlupınar University . She holds a PhD in Electrical-Electronics Engineering from the same university and has been a Research Assistant in multiple laboratories since 2015, including Analog & Digital Communications, Measurement & Circuit, and Logic Design. Her research focuses on Wireless Communication Systems (NOMA, OTFS modulation) Antenna Design for 5G and beyond UAV-assisted network architectures IoT device security protocols She has led and advised numerous student research projects in avionics, telemetry, and low-altitude defense systems under the TÜBİTAK 2209-A and Scientific Research Project (BAP) programs. Recent publications highlight her work in deep learning for signal detection , LoRa-based telemetry systems , and IoT security methods , with a strong emphasis on practical implementations in 5G and UAV technologies. She is an active member of IEEE and the Applied Computational Electromagnetics Society (ACES) .
Cláudio Maia is a Lecturer and Integrated PhD Researcher at the Faculty of Engineering of the University of Porto, Portugal. He holds a B.Sc. and M.Sc. in Computer Engineering from the Polytechnic Institute of Porto and a Ph.D. in Electrical and Computer Engineering from the University of Porto (2018). His research focuses on real-time systems, including real-time operating systems, hypervisors, multiprocessor architectures, and scheduling theory. He has contributed to advancements in task scheduling for multiprocessor platforms, resource contention analysis, and WCRT (Worst-Case Response Time) methodologies. His work has been published in venues such as RTCSA, RTNS, and DATE, and includes a Best Paper award at ICESS 2021. He is affiliated with the CISTER Research Centre, where he collaborates on projects involving embedded systems, real-time critical CPS, and automotive systems integration. His recent research explores memory and bus contention analysis in real-time task models, with applications to multiprocessor systems and industrial automation. Education: Bachelor’s Degree (B.Sc.) in Computer Engineering, School of Engineering, Polytechnic Institute of Porto Master’s Degree (M.Sc.) in Computer Engineering, School of Engineering, Polytechnic Institute of Porto Ph.D. in Electrical and Computer Engineering, University of Porto (2018) Research Interests: Real-Time Scheduling (WCRT Analysis, Partitioned/Global Scheduling) Multiprocessor Architectures and Resource Contention Real-Time Operating Systems and Hypervisors Parallel Task Models (Fork-Join, 3-Phase Tasks) Embedded Systems and Cyber-Physical Systems (CPS) Awards: Best Paper Award at ICESS 2021 for 'Bus-Contention Aware WCRT Analysis' Key Contributions: Developed contention-aware scheduling models for real-time multiprocessor systems Advanced WCRT analysis techniques for 3-Phase Task Models Contributed to frameworks for automotive systems integration and CPS emulation Labs/Teams: Active member of the CISTER Research Centre, collaborating on industrial and academic projects in real-time systems and embedded computing.
Mustafa Altun is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. With an h-index of 11 and 78 research outputs, he has established himself as a prominent researcher in electronics engineering and neural network hardware implementations. His research focuses on key areas including: Nano-crossbar Arrays and Switching Lattices Logic Synthesis and Boolean Function Realization Neural Network Hardware Implementation Low-voltage Circuit Design Fault Tolerant Computing Electrodeposition for Li-ion Battery Anodes Dr. Altun's recent work demonstrates a strong emphasis on energy-efficient hardware implementations of artificial neural networks using approximate arithmetic blocks to reduce power consumption while maintaining acceptable accuracy levels. His research on silicon anode electrodeposition has explored how artificial light-induced processes can increase silicon loading for improved battery performance. These dual research directions reflect his commitment to advancing both computing hardware and energy storage technologies. His scientific achievements have been recognized with prestigious awards including the ODTÜ Mustafa N. Parlar Research Incentive Award (2022), EU H2020 Success Award (2015), and the Young Scientist Award (2020). His work has been supported by multiple projects funded by TUBITAK and SRP. Dr. Altun has supervised 16 students according to available data and has led numerous research projects focusing on novel circuit architectures for efficient computing, particularly in neural networks and fault-tolerant systems. His laboratory work continues to push the boundaries of nano-crossbar array computing and its practical applications.
Fikret Çalışkan serves as a Professor in the Department of Control and Automation Engineering at Istanbul Technical University. With an h-index of 15 and 55 research outputs documented through Scopus, his academic career spans multiple decades of contributions to control systems engineering. His research profile shows consistent publication activity from 1995 through projected 2025 works, with significant output in recent years. Professor Çalışkan's research focuses on advanced control systems with particular expertise in Kalman filtering techniques , fault detection and isolation , and autonomous aircraft systems . His fingerprint analysis reveals strong specialization in actuator systems (80%), Kalman filters (100%), and multiple fault detection methodologies (47-53%). His work bridges theoretical control engineering with practical applications in UAV technology, indoor positioning systems, and aircraft propulsion. Analysis of his recent publications shows a clear trajectory toward increasingly complex autonomous systems, with growing integration of machine learning techniques (particularly reinforcement learning) with traditional control methodologies. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and signal processing, with applications spanning from indoor navigation to hybrid-electric aircraft propulsion. Professor Çalışkan has supervised 15 research projects throughout his career, securing funding for significant research initiatives including AI-based visual inspection systems for aircraft surfaces (2020-2022) and nonlinear multirotor modeling, fault detection, and implementation (2018-2021). His research demonstrates strong industry relevance with practical applications in aviation safety, autonomous systems, and energy-efficient control solutions.
Ali Alper DEMİR is a Researcher at Suleyman Demirel University's Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering since 2016. He is also affiliated with the Optima Research Group. He holds a BSc (2012), MSc (2019), and PhD (2024) in Electronics and Communications Engineering from Suleyman Demirel University. His research focuses on document analysis, image segmentation, machine learning, and deep learning, with a specialization in Ottoman document processing and handwritten text recognition. His work includes applying GANs and deep learning to text line segmentation and character recognition in historical manuscripts. Notable publications include 'GAN-based text line segmentation' (2024) and 'Object Detection-Based Character Recognition for Ottoman Documents' (2025). He contributed to a national project on Ottoman text indexing (2019–2023). Academic outreach includes presentations at INISTA 2021 and SIU 2020. He has designed circuits for biomedical signal measurement and developed algorithms for digit segmentation in overlapping contexts. His contributions span theoretical advancements and applied engineering solutions in document analysis and AI-driven historical research.
Tufan Coşkun Karalar is an Associate Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), College of Engineering. His research spans integrated circuits, analog-to-digital converters, wireless sensor networks, and energy-efficient electronic systems. He is actively involved in advanced IC design projects for applications in biomedical implants, green energy, and automotive communications. Research Interests: Integrated and analog circuit design High-speed data converters (ADCs) In-memory computing architectures RF front-end and V2X communication circuits Low-power and energy-efficient sensor networks Hall effect and current sensing technologies His recent publications focus on SRAM-based in-memory computing energy models, high-speed pipelined ADCs, and RF front-end modules for vehicle-to-everything (V2X) systems. These works reflect a strong trend toward energy efficiency, high performance, and application-specific circuit design in modern electronics. Scientific Awards: ELECO 2019 Best Student Publication Award Dr. Karalar has served as Principal Investigator (PI) on multiple research projects funded by TUBITAK and TTO, including studies on ASIC design, micro-implant power control ICs, high-speed ADCs, and improved Hall effect sensors. He is currently supervising 24 theses, indicating an active role in mentoring graduate students. His work involves close collaboration with industry and academic partners in Turkey and internationally. Labs and Research Teams: While specific lab names are not mentioned, his project leadership and publication record suggest he leads a research group focused on analog and mixed-signal integrated circuit design within the Department of Electronics and Communication Engineering at ITU.
