جستجوی استاد راهنمای دانشگاهی

Neslihan Serap Şengör is a Professor at the Department of Electronics and Communication Engineering, Istanbul Technical University . Her work bridges Artificial Intelligence , Neuroscience , and Circuits and Systems Theory . Research areas include: Neuromorphic computing with Intel Loihi Basal ganglia and motor control modeling Spiking neural networks for hardware Cognitive process simulation Projects focus on: Hardware implementation of motor learning Computational models for Parkinson's disease Cortex structure simulation on neuromorphic chips Contact: sengorn@itu.edu.tr

• Artificial Intelligence
• Neuroscience
• Circuits and Systems Theory

Dr. T. Serkan Kasırga leads the 2D & Strongly Correlated Materials Laboratory at Bilkent University's National Nanotechnology Research Center (UNAM). His research focuses on experimental solid-state physics, specializing in quantum phenomena in low-dimensional and strongly correlated materials. He directs multiple funded projects with €2M secured through 11 grants as Principal Investigator. Research Interests: The lab investigates four primary areas: (1) Novel quantum material discovery via real-time optical CVD, (2) Photoresponse mechanisms in low-dimensional systems using scanning photocurrent microscopy, (3) Classical/quantum phase transitions in correlated materials, and (4) Exciton dynamics in 2D transition metal dichalcogenides influenced by substrate engineering. Recent Publications Focus: Work from 2023-2024 demonstrates strong emphasis on synthesis innovations (CVD-grown nanomaterials), characterization of ionic/electronic behaviors in 2D systems, and applications in neuromorphic computing and energy conversion. Recurring themes include substrate engineering effects, doping-free device strategies, and advanced measurement techniques for nanoscale properties. Awards & Recognition: BAGEP Award (Science Academy of Türkiye, 2021) Research Infrastructure: The lab maintains capabilities in: Chemical vapor deposition (conventional/optical) 2D heterostructure fabrication Cryogenic electronic transport (1.6-400K) Scanning photocurrent microscopy Atomic force microscopy Clean-room nanofabrication access Advising & Funding: Currently supervises 2 graduate students and 1 postdoctoral researcher. Secured 11 external grants as PI since 2014 including active TUBITAK projects (2025, 2023). Total research funding exceeds €2M with additional infrastructure co-PI roles.

• Solid-State Physics
• Two-Dimensional Materials
• Strongly Correlated Systems
• +۵ مورد دیگر

Sheida Faraji is an Assistant Professor at Istanbul Technical University , Faculty of Electrical and Electronics Engineering. Her research focuses on organic electronics, with an emphasis on organic field-effect transistors (OFETs), dielectric materials, and sensor technologies. She specializes in developing sustainable, low-voltage electronic systems using eco-friendly polymers and functional materials. Her work contributes to UN Sustainable Development Goals , particularly in advancing affordable and clean energy (SDG 7) and industry innovation (SDG 9). She has collaborated internationally, with notable contributions to hybrid organic/metal-oxide sensor systems and fluorescent ion sensors. Recent publications highlight advancements in nanocomposite dielectrics for OFETs, gas sensors operating at room temperature, and optoelectronic applications like artificial synapses. Her research bridges material science and electronics, addressing challenges in low-power devices and environmental monitoring.

• Organic Field Effect Transistors
• Dielectric Materials
• Low Voltage Electronics
• +۶ مورد دیگر

Sheıda Farajı is a Lecturer at Istanbul Technical University's Faculty of Electrical and Electronics. Her research focuses on organic field-effect transistors (OFETs), dielectric materials, and sensor systems with applications in flexible electronics, neuromorphic computing, and chemical sensing. Research Trends: Recent publications highlight her work on OFET-based gas sensors, hybrid organic-metal oxide transistor systems, and sustainable materials for electronics. Projects: Currently leads two projects on solution-processed graphene nanocomposites (2024-2025) and biopolymer-based sustainable electronics (2024). Collaborations: Active in international collaborations with researchers from the UK, Turkey, and Saudi Arabia.

• Organic Field-effect Transistors (OFETs)
• Dielectric Materials
• Sensor Systems
• +۴ مورد دیگر

Cem Ersoy is a full Professor at the Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He serves as the Vice Director of TETAM and leads the Computer Networks Research Laboratory (NetLab), driving forward research in wireless networks, pervasive health, IoT, 5G, SDN, and emerging air computing paradigms. His research spans cutting-edge domains such as air computing, edge intelligence, wearable stress monitoring, indoor localization, and smart city neurocomputing challenges. By integrating deep reinforcement learning, probabilistic modeling, and IoT systems, his work aims to create unobtrusive, scalable, and adaptive computing solutions for real-life environments. Recent publications reveal a strong focus on air computing as a novel computation paradigm, leveraging multi-agent deep learning and simulation frameworks. Another major trend is wearable-based affect and stress monitoring , where semi-supervised learning and explainable AI reduce labeling burdens while enhancing real-life applicability. Additional work addresses edge computing orchestration , network slicing , and live video streaming optimization using SDN and reinforcement learning. Prof. Ersoy actively advises graduate researchers and leads funded projects in national and international arenas, although specific grant titles and student names are not listed in the source. His lab, NetLab, provides a collaborative environment for innovations in computer networks, IoT, and pervasive health technologies.

• Wireless Networks and Mobile Applications
• Pervasive Health
• Internet of Things
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Sergey Borisenok is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Abdullah Gul University, Turkey (since 2014). He holds additional roles as Head of the Department of Mathematical Modeling at Modern Information Technologies, LCC (since 2013) and has served as Visiting Professor at institutions including Universiti Putra Malaysia (2013) and Government College University, Lahore (2004–2012). His academic career spans associate professorships at leading Russian institutions like Herzen State University (2002–2010) and St. Petersburg Polytechnical University (2003–2004 part-time). Education includes a Ph.D. in Theoretical Physics from St. Petersburg State University (1996), focusing on quantum field theory applications to turbulent energy spectra. Earlier, he earned his MSc in Statistical Physics (1993). His postdoctoral research included stints at Weizmann Institute of Science (Israel) and Herzen State University. Research interests revolve around quantum systems control, neuromorphic computing, and biomedical applications. Key areas include quantum batteries, superconducting qubit dynamics, epilepsy modeling via Hodgkin-Huxley networks, and quantum sensing algorithms. His work integrates control theory, statistical physics, and machine learning to address challenges in quantum technologies and neural systems. Publications emphasize innovative control algorithms for quantum systems and neuro-inspired models, with recent focus on reservoir computing networks and feedback mechanisms in quantum batteries. His contributions bridge theoretical physics with applied engineering, particularly in precision sensing and neuromorphic hardware.

• Quantum Physics
• Quantum Computing
• Neural Networks
• +۵ مورد دیگر

Professor Şahram MİNAYİ serves as a full Professor in the Department of Electrical and Electronics Engineering at Doğuş University's Faculty of Engineering, where he also holds the position of Department Chair. Additionally, he manages the Research Support Office (ARDES) and has been with the university since 2001, progressing from Assistant Professor to Associate Professor and finally to Professor in 2009. His educational background includes a BSc from Iran University of Science and Technology (1993), followed by MSc (1997) and PhD (2001) degrees in Electronics and Communications Engineering from Istanbul Technical University. His doctoral thesis focused on "New possibilities in current-mode circuits using current controlled conveyor (CCC II)". Professor MİNAYİ's research centers on analog circuit design with particular emphasis on current-mode circuits, analog signal processing, instrumentation amplifiers, and memristor emulators. His work spans filter design, oscillator circuits, fractional-order systems, and neuromorphic computing applications. He has developed numerous innovative circuit topologies including floating memristor emulators, universal filters, and precision rectifiers that have significantly advanced analog circuit implementation techniques. His extensive publication record shows consistent focus on current-conveyor based circuits, with recent work (2023-2025) exploring memtranstor emulators, chaotic oscillators, fractional-order filters, and reconfigurable filter architectures. These publications demonstrate his ongoing leadership in analog circuit design, particularly in creating novel circuit topologies with reduced component counts and enhanced functionality. Senior Member, IEEE Editor-in-Chief of International Journal of Electronics and Communications (AEU) Editor of Journal of Circuits, Systems, and Computers (JCSC) Editor of International Journal of Circuit Theory and Applications (IJCTA) Editor of Elektronika ir Elektrotechnika As an academic advisor, Professor MİNAYİ has supervised PhD students including Merih Yildiz, whose thesis focused on adjustable CMOS classifier circuits. His research has garnered over 6,500 citations with an H-index of 43 on Google Scholar, reflecting significant impact in the analog circuits field. He has also authored two major books: "Current-Mode Instrumentation Amplifiers" (2019) and "Passive and Active Circuits by Example" (2024), both published by Springer. His laboratory work focuses on practical implementation of analog circuits, particularly exploring current-mode techniques for low-power applications, biomedical instrumentation, and neuromorphic computing. His team has developed numerous circuit topologies that reduce component count while maintaining performance, with particular attention to electronically tunable circuits suitable for integrated circuit implementation.

• Analog Circuit Design
• Current-Mode Circuits
• Analog Signal Processing
• +۵ مورد دیگر

Dr. Selim Hanay is an Associate Professor in the Department of Mechanical Engineering at Bilkent University, where he directs research on nanoelectromechanical systems (NEMS) and integrated sensors. His work focuses on developing nanomechanical mass spectrometry for single-particle detection under atmospheric conditions, microwave-microfluidics sensors for biomedical applications, and nanomechanical systems for reservoir computing. Hanay holds a Ph.D. in Physics from Caltech where he developed sensors for weighing single protein molecules. Hanay's research group advances virus/nanoparticle detection technologies, microwave sensing in microfluidic systems, and deformable microfluidics for cell transfection. Recent breakthroughs include atmospheric-pressure mass spectrometry for single viruses, ultrafast reservoir computing using nonlinear resonators, and 3D electrode-integrated microwave cytometry for microplastic differentiation. The research has been recognized by the American Physical Society and American Chemical Society for its innovations in sensor technology. Hanay received the European Research Council Starting Grant and Proof-of-Concept Grant for his pioneering work. He currently holds a Visiting Associate position at Caltech and leads multidisciplinary projects at Bilkent's UNAM National Nanotechnology Research Center. His teaching includes mechatronics and directs student competitions in hardware innovation.

• Nanoelectromechanical Systems
• Nanomechanical Mass Spectrometry
• Microwave-Microfluidics Sensors
• +۲ مورد دیگر

Ismail Serdar Ozoguz is a Professor at Istanbul Technical University, Department of Electronics and Communication Engineering. With over 163 publications and 3020 citations, his work spans oscillator engineering, neural networks, and RF/wireless systems. Institution : Istanbul Technical University Department : Electronics and Communication Engineering Rank : Professor Research interests focus on oscillator engineering , current mode circuits , and chaotic oscillators . Recent work emphasizes neural network applications in filter optimization, antenna modeling, and stochastic computing. Scientific awards include: GEBIP Award (2002) Mustafa Parlar Foundation Research Incentive Award (2003) Research Incentive Award (2004) Projects highlight nonlinear optimization in GaN amplifiers, fractional-order neural networks, and spintronics for communication/memory systems. Collaborations span biomedical engineering, wireless networks, and AI-driven optimization.

• Oscillator Engineering
• Current Mode Circuits
• Chaotic Oscillators
• +۷ مورد دیگر

Dr. İsmail AKTÜRK serves as an Assistant Professor in the Computer Science Department within Ozyegin University's Faculty of Engineering. Previously, he held an Assistant Professor position at the University of Missouri - Columbia's Department of Electrical Engineering and Computer Science for four years. His academic foundation includes a Ph.D. in Electrical and Computer Engineering from the University of Minnesota, Twin Cities. Education: Ph.D. in Electrical and Computer Engineering, University of Minnesota, Twin Cities, 2017 M.S. in Computer Engineering, Bilkent University, 2013 M.S. in Electrical Engineering, Louisiana State University, 2009 B.S. in Computer Engineering, Doğuş University, 2007 Dr. AKTÜRK's research centers on Computer Architecture with specialized expertise in brain-inspired computing and neuromorphic systems . He pioneers unconventional computing paradigms that integrate memory and processing units to eliminate energy-intensive data transfers inherent in traditional von Neumann architectures. His work employs hardware/software co-design methodologies to enhance energy efficiency for data-intensive applications like deep learning through spatial and temporal approximations. He directs the Computer Architecture and System Technologies Lab, where his research group develops application-specific systems exploiting novel devices and algorithmic advancements. Dr. AKTÜRK actively mentors graduate students in creating energy-efficient computing solutions for emerging computational challenges.

• Computer Architecture
• Brain-Inspired Computing
• Energy-Efficiency
• +۳ مورد دیگر

Burak Yildirim serves as Associate Professor in the Department of Electronics and Automation at Bingöl University's Technical Sciences Vocational School since 2022, following 11 years as Teaching Staff. His academic foundation includes BSc, MSc, and PhD degrees in Electrical-Electronics Engineering from Fırat University. BSc: Electrical-Electronics Engineering, Fırat University (2002-2006) MSc: Electrical-Electronics Engineering, Tunceli University (2010-2013) PhD: Electrical-Electronics Engineering, Fırat University (2013-2017) His research bridges theoretical control systems and practical energy applications, focusing on microgrid stability , AI-enhanced frequency regulation , and renewable integration . Recent work explores cybersecurity for energy systems and digital twin applications, with 15+ publications in SCI journals since 2020 including International Journal of Hydrogen Energy and IEEE Transactions. Dr. Yildirim's publication trends show increasing sophistication in control methodologies, evolving from traditional PID controllers (2018-2020) to neuromorphic deep learning and multi-agent systems (2022-2024). His work consistently addresses low-inertia grid challenges, with 70% of recent publications incorporating AI techniques for stability enhancement. He actively secures research funding through international collaborations and TUBITAK grants, currently leading projects on digital twins for microgrid controllers and HiL technology for next-generation power electronics. His industry background in high-voltage systems informs his applied research approach. Teaching responsibilities span core electronics and power systems courses, with recent emphasis on RF techniques and digital design applications. His industry experience (2007-2011) in transmission infrastructure provides practical context for academic instruction.

• Power Systems
• Renewable Energy Integration
• Microgrid Control
• +۵ مورد دیگر