Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.
Dr. Ibrahim Tekin is a Professor at Sabanci University’s Electrical and Electronics Engineering Department. He holds a B.S. and M.S. from Middle East Technical University (1990-1992) and a Ph.D. from The Ohio State University (1997). His career spans research roles at Bell Laboratories (1997-2000) and academic teaching/research. His primary research interests include antenna design, smart antennas, propagation modeling, and geolocation algorithms. He teaches advanced courses like Electromagnetics II , Microwaves , and Antennas and Propagation for Wireless Communication , emphasizing practical applications in RF and microwave systems. Dr. Tekin’s work focuses on 5G mm-wave antenna arrays, full-duplex systems, and MEMS-based RF components. His recent research explores beamforming networks, low-actuation-voltage MEMS switches, and compact antenna designs for 5G applications. He has contributed to over 60 peer-reviewed publications, including journal articles in IEEE Transactions on Antennas and Propagation and Microwave and Optical Technology Letters . His research also addresses indoor positioning systems using GPS signals and RFIC integration challenges. Key technical contributions include innovative antenna array configurations, low-loss RF MEMS switches, and advanced full-duplex architectures. His work bridges theoretical electromagnetics with practical implementations in next-generation wireless communication systems.
Professor Serdar Özoğuz is a full faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University . Holding a Ph.D. from ITU (2000) and a M.Sc. from ITU (1993) , he has taught courses like Active Network Synthesis , Basics of Electrical Circuits , and Scientific Research Ethics since 2014. His research focuses on Active RC filters Nonlinear electronic circuits Analog integrated circuit design Network synthesis . His recent publications emphasize machine learning applications in RF/microwave design , quantum computing for CAD tools , and emerging memory devices . The department's Devreler ve Sistemler Laboratuvarı Çok Geniş Ölçekli Tümdevre (VLSI) Tasarımı Laboratuvarı likely support his work. Despite no explicit awards listed, his 15+ recent articles in high-impact journals underscore his technical contributions.
Prof. Dr. Mehmet Reşit Tolun is a full-time Professor in the Department of Software Engineering at Çankaya University (Turkey) since 2022. Previously held full-time professor positions at Konya Food and Agriculture University (2020-2022), Aksaray University (2013-2017), and TED University (2011-2013), along with a part-time professorship at Başkent University (2017-2020). Specializes in Artificial Intelligence , Machine Learning , and Data Mining , with a focus on deep learning applications in aerospace, biomedical data analysis, and software process improvement. PhD in Computer Science (University of Kent, 1985) MSc in Computer Science (University of Kent, 1982) BSc in Physics and Computer Science (University of Kent, 1981) Research Interests span deep learning frameworks, hybrid expert systems, software engineering methodologies, and biomedical signal processing. Publications emphasize practical implementations in medical diagnostics, robotics, and agricultural pest detection. Scientific Awards include the IEEE Third Millenium Medal (2000). Supervised over 55 graduate students, including Burak Çetin, Uğur Özotuk, and Mahinur Doğan. Collaborated with researchers from Orta Doğu Teknik Üniversitesi , Çankaya University , and Aksaray University .
Dr. Hayrullah Yıldız is an Assistant Professor in the Electrical and Electronics Engineering Department at Bağışent University, specializing in radar systems, vortex waves, and antenna technologies. He earned his PhD, Master's, and Bachelor's degrees in Electrical and Electronics Engineering from Middle East Technical University (METU) in 1996, 1988, and 1986, respectively. Education: PhD (1996): METU, Electrical and Electronics Engineering Master's (1988): METU, Electrical and Electronics Engineering Bachelor's (1986): METU, Electrical and Electronics Engineering His research focuses on electromagnetic theory, microwave engineering, and advanced radar systems, particularly vortex wave applications in beamforming and localization. Recent work includes software-defined radar signal generators, X-band and K-band radar systems with collimated vortex waves, and OAM multiplexing for Ka-band communication. The 15 most recent articles (1996–2024) highlight his expertise in collimated vortex waves , phased arrays , OAM multiplexing , and microwave imaging . Subfields span from beam steering to space-time coding and antenna array optimization . Projects (2019–2023) include Radar Target Localization , Phased Array Design , and Satellite Communication Beamforming . He teaches courses such as Electromagnetic Theory , Radar Systems , and Microwave Engineering .
Gökhan Seçinti is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He currently serves as Vice Dean and has previously held the role of Vice Department Head. His research focuses on next-generation wireless networks, UAV communications, semantic communication, and AI-driven networking solutions. Research Interests: His work spans Unmanned Aerial Vehicles (UAVs) , Semantic and Task-Oriented Communication , Software-Defined and Cognitive Networks , 6G Communications , and AI in Networking . He develops practical testbeds for deep learning-based communication architectures and explores digital twin applications in aerial networks. Publication Trends: Recent publications emphasize decentralized UAV service deployment, beam alignment using UWB localization, TDMA scheduling for aerial swarms, and semantic flow control. These reflect a strong trend toward intelligent, adaptive, and context-aware communication systems for IoT and mobility. Best Paper Award, IEEE, 2022 Best Conference Paper, IEEE, 2016 Best Poster Paper Award, IEEE, 2015 Advising and Grants: He has supervised 4 academic works and leads multiple funded research projects, including TÜBİTAK and SRP grants on federated learning in flying networks, semantic VANETs, AI-based intrusion detection, and UAV-assisted IoT for crisis management. Labs and Teams: His work is supported by active research teams at ITU, focusing on testbed development using SDRs, digital twins, and real-world deployment of UAV networks. He collaborates internationally, including past affiliations with Northeastern University.
Rıza Can Tarcan is a retired Lecturer at the Department of Electronics and Communication Engineering (EHMB), Istanbul Technical University (ITU). He holds a PhD from ITU (2002), following his MSc (1994) and BSc (1986) in the same field. His research focuses on analog and digital electronics, with expertise in current-mode circuits, filter design, and signal processing. He has taught courses such as Analog Electronics Laboratory and Introduction to Electronics. His publications include works on analog multiplier design and precision circuits, presented at international conferences like ELECO and SIU. Though retired, his contributions to academic and research activities in electronics remain notable.
Professor SEFA ERTÜRK is a distinguished academic at Nigde Omer Halisdemir University, holding positions in both the Faculty of Medicine (Department of Basic Medical Sciences/Biophysics) and previously in the Faculty of Science and Letters (Physics Department/Nuclear Physics). With a career spanning over 25 years since earning his doctorate from the University of Liverpool in 1998, he has progressed through academic ranks from Research Assistant to full Professor. His educational background includes a Doctorate (1994-1998) and Master's degree (1993-1994) in Physics from the University of Liverpool, and a Bachelor's degree (1987-1991) in Physics from Çukurova University. His doctoral thesis focused on 'Gamma ray spectroscopy of 150Gd and 151Gd'. Professor ERTÜRK's research spans nuclear physics, biophysics, and medical imaging, with particular expertise in gamma spectroscopy, neutron detection, and radiation physics. His work bridges fundamental nuclear research with practical medical applications, especially in radiation detection systems for medical imaging. He has supervised numerous graduate students in areas ranging from nuclear waste management to detector development. Analysis of his recent publications reveals a strong focus on nuclear structure studies, particularly examining exotic nuclei, neutron-rich systems, and nuclear deformation phenomena. His work increasingly integrates advanced digital electronics (NUMEXO2) with traditional gamma detection systems (EXOGAM2), while maintaining parallel research in environmental radiation (radon detection) and radiation-absorbing materials (geopolymers). He has led and participated in numerous significant research projects including TÜBİTAK 1001 projects on portable medical imaging systems, EU-funded NEDA Neutron Detector Array projects, and research on the PARIS detector system. His current research includes developing portable integrated ultrasound and gamma imaging systems. Professor ERTÜRK has held substantial administrative roles including Department Chair (2020-), Head of Basic Medical Sciences Department (2021-), and previously served as Dean of Nigde University (2006-2009). His laboratory work focuses on nuclear detector development, particularly the NEDA (Neutron Detector Array) system and EXOGAM gamma spectrometer, often collaborating with international facilities like GANIL in France.
Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.
Selda Güney is an Assistant Professor in the Department of Electrical and Electronics Engineering at Başkent University's Faculty of Engineering. She holds a PhD (2013), Master's (2007), and Bachelor's (2004) in Electrical-Electronics Engineering from Karadeniz Technical University. Her professional experience includes roles as an R&D Engineer at DEKA Digital (2004-2005), Research Assistant at Karadeniz Technical University (2005-2013), and Assistant Professor at Başkent University (2013-present). Her research spans: Machine Learning : Applications in medical imaging, radar, and industrial systems Signal/Image Processing : Focus on real-time classification and fault detection Pattern Recognition : Electronic nose systems and biometric analysis Her recent publications demonstrate strong emphasis on deep learning applications in healthcare (chest X-ray classification, fracture detection) and industrial automation (real-time fault detection systems). Over 70% of her last 15 articles involve medical/industrial AI implementations using convolutional networks. Awards & Honors: TÜBİTAK Domestic PhD Scholarship IBEC ERASMUS Scholarship Research Leadership: Supervised 20+ graduate theses (e.g., radar data classification, medical image steganography) and led 9 R&D projects including: AI-based pathology classification in lung X-rays VR glove development Smart parking systems She is a member of IEEE and ISOCS, and teaches courses including Pattern Recognition, Signals and Systems.
Tayfun Akgül is a Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With academic affiliations spanning decades, he combines engineering rigor with innovative research in signal processing and underwater acoustics. His research focuses on advanced signal processing techniques, including Compressive sensing and cyclostationary analysis Underwater acoustic monitoring and sensor arrays Thermal imaging and infrared reflection modeling Biometric identification through facial attributes Seismic signal processing Recent publications demonstrate expertise in Propeller noise analysis in maritime environments Micro-Doppler helicopter signature detection Seismic activity precursor identification Novel fisheye camera human detection systems Awarded Most Successful Doctoral Thesis Award from TESID (2024) IEEE Top 10 Award (2013) he maintains active IEEE membership since 1992 and has led multiple high-impact projects including casualty detection systems and electric vehicle warning systems.
Hilmi AYGÜN is an Assistant Professor in the Department of Mechatronics Engineering at Karabük University's Faculty of Engineering and Natural Sciences, where he has been serving since 2019. His academic career began as a Research Assistant in the Electrical and Electronics Engineering Department from 2009-2019 before transitioning to his current position in Mechatronics Engineering. He also serves as the Erasmus Coordinator for both the Mechatronics Engineering Department and the university since 2021. Education: PhD in Electrical and Electronics Engineering (2011-2019), Karabük University, Institute of Science MSc in Electrical and Electronics Engineering (2010-2011), Karabük University, Institute of Science BSc in Electrical and Electronics Engineering (2003-2007), Kırıkkale University, Faculty of Engineering Hilmi AYGÜN's research primarily focuses on electrical machines and energy conversion systems, with particular emphasis on motor control algorithms for electric vehicle applications. His work integrates control theory with artificial intelligence techniques, especially optimization algorithms like Particle Swarm Optimization (PSO) and the Yusufcuk Algorithm. He has made significant contributions to field-oriented control of induction motors, DC motor control systems, and wind energy applications. His publication record shows a clear trajectory toward increasingly sophisticated control systems for electromechanical applications, with recent work focusing on metaheuristic methods for motor control, optimization of wind energy systems, and advanced DC motor control techniques. His research bridges theoretical control concepts with practical engineering applications, particularly in transportation and renewable energy sectors. Hilmi AYGÜN has successfully advised at least one Master's student, Hersh Hasan Taha Al Dawoodı, whose thesis focused on field-oriented control of induction motors using metaheuristic methods. He has participated in two major research projects: one on optimal flux reference direct torque control for asynchronous motors used in electric vehicles (2015-2019), and another on controlling bed temperature in fluidized bed boilers using PSO-PID controllers (2011-2013). As an educator, he has taught numerous courses including Electric Machine Dynamics, Modeling and Control of Biomedical Systems, Control of Electric Machines, Electric and Hybrid Vehicles, Industrial Automation, and various electronics courses. His teaching spans both undergraduate and graduate levels, demonstrating his versatility across multiple engineering disciplines within the mechatronics field.
Assoc. Prof. Dr. Kadir Vardar is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Dumlupınar University. He has held academic and administrative roles since 2012, including Vice President of Department (2015–2019). His research focuses on power electronics, embedded systems, renewable energy, and neural network applications in control systems. Education: BSc (2001) and MSc (2004) from Dumlupınar University; PhD (2011, English Program) from Dokuz Eylül University. Projects: Over 15 projects, including TÜBİTAK-funded initiatives on smart home automation, PV inverters, and embedded HIL simulators. Awards: 2011 Dokuz Eylül University Doctoral Publication Honor Award; 2001 Department First Place at Dumlupınar University. Research interests span power electronics (inverters, active filters), renewable energy systems (PV), and embedded systems (STM32, microcontrollers). He has published 29 articles and supervised multiple theses. Current courses include Power Electronics, Advanced Microcontrollers, and System Programming.
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.
Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.
