جست‌وجوی استاد و پژوهشگر

• Geotechnical Engineering
• Soil Mechanics
• Foundation Engineering
• +۳ مورد دیگر

Murat HAMDERİ is a Professor in the Department of Civil Engineering at the Turkish-German University's Faculty of Engineering, where he has served since 2015 as the department's founding faculty member. He progressed from Assistant Professor (2015) to Associate Professor (2020) and full Professor (2024), establishing himself as a key figure in geotechnical engineering education and research in Türkiye. His educational background includes a Doctorate in Civil Engineering from Drexel University (2004-2010), Master's in Geotechnics from Bogazici University (1999-2002), and Bachelor's from Istanbul Technical University (1995-1999). HAMDERİ specializes in geotechnical engineering with research focusing on soil mechanics, foundation design, and earth structure analysis. His work emphasizes numerical modeling of soil behavior, particularly in sand mechanics, retaining wall systems, and pile foundations. He frequently develops analytical solutions for complex geotechnical problems encountered in nuclear power plant construction and seismic zones. His publication trends (2024-2012) reveal consistent innovation in geotechnical computational methods , with 15+ journal articles primarily addressing sand mechanics, earth pressure theory, and foundation settlement. Recent works integrate finite element analysis with practical design solutions, especially for nuclear infrastructure projects like Akkuyu Nuclear Power Plant. While no specific awards are documented, his research demonstrates sustained scholarly contribution through single-author publications and industry-academia collaboration. His career bridges practical engineering experience—including nuclear foundation design in the USA and consultancy for Dutch geotechnical firms—with academic rigor. His research activities involve advanced computational modeling of soil-structure interaction, with particular emphasis on seismic performance of reinforced earth structures and liquefaction mitigation techniques using colloidal silica injection.

• Electronics
• Analog Design
• Circuits and Systems Theory
• +۴ مورد دیگر

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

• Artificial Intelligence
• Neuroscience
• Circuits and Systems Theory

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

• Electromagnetics
• Microwave and Antenna Technologies
• Fuzzy Logic
• +۱ مورد دیگر

Hacı Güzel GÜLEÇ is a Lecturer at Kastamonu University , affiliated with the Cide Rıfat Ilgaz Vocational School and Electronics and Automation Department . He has been in this position since 2010 and served as Department Head from 2013 to 2018. His academic journey includes a PhD in Electrical-Electronics and Computer Engineering (2022) from Düzce University , an MSc in Electrical and Electronics Engineering (2017) from Karabük University , and a BSc in Electronics and Communication Engineering (2003) from Süleyman Demirel University . His research focuses on Electromagnetics , Microwave and Antenna Technologies , Fuzzy Logic , and Semiconductors . He has published extensively on applications of Artificial Neural Networks (ANN) and ANFIS in energy systems, material science, and power electronics. Notable trends in his work include: Renewable energy optimization using ANN (e.g., solar and wind energy prediction). DC-DC converter designs for energy storage (e.g., Arduino-based battery charging systems). Electromagnetic field analysis in applied physics (e.g., solenoid modeling). Predictive modeling for composite materials (e.g., Cu-TiC composites). His collaborative efforts span institutions like Afyon Kocatepe University and Karabük University , working with researchers such as Ünal Kaya , Hüseyin Demirel , and Murat Caner . No formal awards or student advising records are publicly documented.

Nuran Doğruمشاهده پروفایل

استاد

• Electrical and Electronics Engineering
• Optics
• Photonics
• +۲ مورد دیگر

Nuran Doğru is a Professor at Gaziantep University , affiliated with the Faculty of Engineering and the Department of Electrical and Electronics Engineering. Her research focuses on quantum dot lasers, optoelectronics, and photonics, with a particular emphasis on intensity noise analysis and short pulse generation. PhD in Electronics (Gaziantep University, 2003) MSc in Electronics (Gaziantep University, 1997) BSc in Electrical Engineering (Gaziantep University, 1994) Her research interests span quantum dot lasers , mode-locked laser dynamics , photonic devices , and noise reduction techniques . Recent work explores gain-switched laser modeling using multi-population rate equations and biomedical applications like remote blood pressure monitoring via photoplethysmography. The 15 most recent publications highlight advancements in quantum dot laser noise control, pulse generation, and biomedical device design. Key venues include Nanomaterials , IEEE Transactions on Electron Devices , and Optics and Laser Technology . She has supervised numerous graduate theses and led a TUBITAK-funded project on gain-switched quantum dot laser noise. Her international experience includes academic visits at York University (2014-2015) and a postdoctoral position at Essex University (2007).

Emre Ugurمشاهده پروفایل

دانشیار

• Robotics
• Robot Learning
• Cognitive Robotics
• +۵ مورد دیگر

Emre Ugur is an Associate Professor in the Department of Computer Engineering at Bogazici University, where he serves as the head of the Cognition, Learning and Robotics (CoLoRs) laboratory. His research focuses on bridging the gap between continuous sensorimotor experiences and discrete symbolic representations in robotics. Funded by major international sources including the European Commission's Horizon 2020 program and TUBITAK, his work has significant implications for cognitive robotics and autonomous systems. Education: PhD in Computer Engineering from Middle East Technical University (METU, Turkey) Ugur's research interests center on cognitive and developmental approaches to robotics, with particular emphasis on neuro-symbolic integration, affordance learning, and symbol emergence. His work explores how robots can autonomously develop high-level cognitive capabilities through continuous interaction with their environment, similar to human cognitive development. His approach combines machine learning, cognitive science, and robotics to create systems that can learn, predict, and reason about their actions. His recent publications reveal a strong trajectory toward neuro-symbolic robotics, where he develops methods for extracting discrete symbolic representations from continuous sensorimotor experiences. This work enables robots to perform complex planning and reasoning tasks while maintaining connection to physical reality. There is also significant focus on social robotics, particularly in human-robot interaction, social navigation, and embodied cognition. Scientific Awards: The Young Scientist Award by the Science Academy (BAGEP) The Excellence in Teaching Award by the Faculty of Engineering (2023) As Principal Investigator of major projects including INVERSE (EU Horizon 2025), DEEPPLAN (TUBITAK), and previously DEEPSYM and IMAGINE, Ugur has established a robust research program that bridges theoretical advances with practical applications. He has supervised numerous PhD and Master's students who have made significant contributions to the field. His leadership extends to organizing major workshops at top robotics conferences including IROS, RSS, and ICRA. At the Cognition, Learning and Robotics (CoLoRs) lab, Ugur leads research on cognitive robotics, developmental robotics, and neuro-symbolic AI. The lab explores fundamental questions about how robots can develop understanding of their actions, learn from interaction, and form abstract representations necessary for high-level cognition. Current projects focus on symbolic reasoning, prediction, and planning in robotic systems.

Mustafa Sertمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Machine Learning
• Semantic Multimedia
• +۵ مورد دیگر

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.

Ali Kosarمشاهده پروفایل

استاد

• Microscale and Nanoscale Heat Transfer
• Microfluidics
• Cavitation
• +۵ مورد دیگر

Dr. Ali Kosar is a Professor at Sabanci University's Mechatronics Engineering Program , with affiliations in Materials Science & Nanoengineering and Molecular Biology, Genetics & Bioengineering. As Co-Director of the Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN) and Senior Researcher at SUNUM Nanotechnology Center, he leads a multidisciplinary research group spanning 30+ members. His work bridges microfluidics, heat transfer , and biomedical device design , focusing on cavitation-on-a-chip systems and microscale thermal management. Key research themes: Micro/Nanoscale Heat Transfer, Cavitation Dynamics, Biomedical Microdevices, Energy Applications Labs: Microfluidics and Microthermal Systems Laboratory, EFSUN, SUNUM His 175+ journal articles (h-index: 33) appear in journals like Physics of Fluids and Lab on a Chip , with recent work featured in Advanced NanoBioMed Research and Biosensors . He serves as Associate Editor of Applied Thermal Engineering and Subject Editor for Advanced Materials Interfaces . Scientific awards include ASME Fellow , TÜBA Membership , and multiple conference honors. His team has secured substantial national/international grants and developed technologies like the SUTAB (Sabanci University Tissue Ablating Bubbles) system.

Tolga Ovatmanمشاهده پروفایل

استاد

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +۶ مورد دیگر

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 .

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.

Idriss Dagalمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۶ مورد دیگر

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

Serdar ARSLANمشاهده پروفایل

مدرس

• Database Management Systems
• Data Structures and Algorithms
• Machine Learning
• +۳ مورد دیگر

Dr. Serdar Arslan is a Lecturer at the Department of Computer Engineering at Cankaya University. He holds a PhD in Computer Engineering from Middle East Technical University (METU), with a thesis on multidimensional data indexing. His academic background includes a Master's (2005) and Bachelor's (2001) in Computer Engineering from METU and Hacettepe University, respectively. His research focuses on database systems, machine learning, multimedia data indexing, and forecasting models. Education: Bachelor of Engineering, Computer Engineering, Hacettepe University (2001) Master of Science, Computer Engineering, METU (2005) Doctor of Philosophy, Computer Engineering, METU (2018) Research Interests: Machine Learning applications in healthcare forecasting and financial markets Advanced indexing techniques for multimedia databases (e.g., MM-FOOD structure) Natural language processing for stance detection in political discourse Hybrid forecasting models combining LSTM and Prophet algorithms Domain-specific NLP for product name extraction in Turkish text Publications: His recent work emphasizes machine learning-driven solutions for complex systems, including pandemic modeling, cryptocurrency analysis, and conflict discourse analysis. His earlier contributions focused on multimedia indexing and image retrieval systems using MPEG-7 standards. The 2025 paper on OSINT architecture frameworks highlights his expanding focus on cybersecurity and system design. Labs/Teams: While no specific lab is mentioned, his GitHub repositories (e.g., Forecasting, NLP projects) suggest active involvement in collaborative research projects related to his domains.

Tuna Balkanمشاهده پروفایل

استاد

• Control Systems
• Robotics
• System Dynamics
• +۵ مورد دیگر

Prof. Tuna Balkan is a Professor in the Mechanical Engineering Department at Middle East Technical University (METU), Ankara, Turkey. He holds a B.Sc. (1979), M.Sc. (1983), and Ph.D. (1988) from METU. His research focuses on control systems, robotics, fluid power control, and dynamic modeling. He leads the Control Systems Laboratory at METU and teaches courses such as Control Systems (ME 304), Fluid Power Control (ME 516), and Mechanical Engineering Systems Laboratory (ME 410). His work spans hydraulic actuator design, platform stabilization, and industrial robotic applications like spray painting and arc welding. Research interests include real-time control, Kalman filtering, and energy-efficient hydraulic systems. He has supervised numerous theses, including studies on hydraulic load simulators, energy-efficient actuators, and vibration-based energy harvesting. His publications cover topics like instability analysis in hydraulic systems, friction compensation in motion platforms, and microelectromechanical systems (MEMS) for energy harvesting. Prof. Balkan’s lab, Control Systems Lab (Room G-130), develops advanced control algorithms and experimental setups. His contributions to automotive safety, agricultural machinery design, and robotic spray painting have been widely recognized. He has collaborated on projects involving durability test rigs, unmanned aerial vehicles, and sensor integration for industrial applications.

• Biomedical Engineering
• Medical Devices
• Sensor Technology
• +۵ مورد دیگر

Mustafa GEÇİN is a Lecturer at the Faculty of Engineering and Natural Sciences of Suleyman Demirel University, affiliated with the Department of Electrical and Electronics Engineering . He holds a PhD in Electronics and Communications Engineering (2022) from the same institution. His academic career includes roles as a Research Assistant since 2016 and contributions to multiple interdisciplinary projects. Education: Bachelor's in Electronics and Communications Engineering (2013) Master's in Electronics and Communications Engineering (2015) Doctorate in Electronics and Communications Engineering (2022) Research Interests: Development of precision measurement systems for healthcare applications (e.g., postural disorder diagnosis) 3D-printed sensor technologies for industrial monitoring (e.g., water level detection in PVC pipes) Electromagnetic field analysis in clinical and traffic safety environments Publications: His work includes peer-reviewed articles in SCI-Expanded journals focusing on biomedical engineering and telecommunications. Notable contributions include advancements in wound healing via electromagnetic fields and microwave sensor design. Projects: "Precision Measurement Technologies for Postural Disorders" (2018–2022) "Water Level Detection Systems Using 3D-Printed Sensors" (2018–2021) Grants and Awards: Supported by national research grants from universities and public institutions. Currently maintains an H-index of 3 with 21 citations (Google Scholar).

Burak Acarمشاهده پروفایل

پژوهشگر

• Random Number Generation
• Hardware Security
• Cryptography
• +۳ مورد دیگر

Dr. Burak Acar is a Research Assistant at Istanbul Technical University's Department of Electronics and Communication Engineering within the College of Engineering. His work focuses on hardware security, random number generation, and cryptographic circuit design. Specializes in FPGA-based security systems Expertise in transient effect analysis for cryptographic applications Active participant in IEEE symposia and technical committees Research interests center around hardware security and digital circuit design, with specific emphasis on: Random number generation techniques Cryptanalysis of oscillator-based systems Transient effect utilization in security applications Reconfigurable hardware implementations Digital circuit resilience against attacks Irregular sampling methodologies His research outputs from 2018-2020 demonstrate consistent contributions to IEEE conferences and journals, particularly in the areas of hardware cryptography and digital circuit security.