Ozcan Ozturk is a Professor in the Computer Science and Engineering and Electronics Engineering programs at Sabancı University's Faculty of Engineering and Natural Sciences. Previously, he held professorships at Bilkent University and adjunct roles at North Carolina State University. His expertise spans heterogeneous computing, parallel systems, processor architecture, and compiler optimization. He earned his Ph.D. from Penn State University, with prior academic roles at the University of Florida and internships at Intel and Marvell. Education: Ph.D. in Computer Science and Engineering (2007), Pennsylvania State University M.S. in Computer Engineering (2002), University of Florida B.Sc. in Computer Engineering (2000), Bogazici University Research interests include accelerator technologies, GPU-based systems, multicore processors, and compiler optimizations. His work focuses on improving parallelization efficiency, energy optimization, and reliability in heterogeneous architectures. He leads funded projects like 'Machine Learning for Compiler Flags' and 'Graph Accelerator Design'. Notable awards include the Bilkent Teaching Award (2019), BAGEP (2018), and HiPEAC Paper Award (2016). He serves on editorial boards of IEEE and ACM journals and chairs major conferences like ASPLOS and ICS. Grants and collaborations include partnerships with Huawei, Intel, NVIDIA, and TÜBİTAK. He advises over 20 students and has supervised projects in safety-critical systems, FPGA accelerators, and compiler-directed optimizations. His lab develops domain-specific architectures, including RISC-V extensions for graph processing.
Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.
Prof. Dr. İbrahim Akduman is a Professor at the Department of Electronics and Communication Engineering , Istanbul Technical University , specializing in microwave imaging and biomedical applications. His research spans antenna engineering, dielectric property analysis, and microwave hyperthermia systems.
Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.
Veysel Murat İstemihan Genç is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. His research is centered on modern power systems, with a focus on transient stability, cybersecurity, and integration of renewable energy sources. He actively leads multiple research projects and supervises graduate students in advanced power system technologies. Research Interests: His work spans key areas including transient stability assessment, machine learning applications in power systems, cyber-attack detection in AGC systems, and dynamic security evaluation under high renewable penetration. He employs cutting-edge techniques such as ensemble learning, deep neural networks, and hybrid optimization algorithms. Publication Trends: Recent publications (2023–2025) highlight a strong trend toward integrating AI and machine learning for real-time transient stability prediction, cybersecurity in distributed energy systems, and performance optimization of solar and wind-integrated grids. His work frequently addresses challenges in low-inertia systems and false data injection attacks. Scientific Projects: Strengthened Machine Learning-Based Dynamic Security Evaluation for Transient Stability under False Data Injection Attacks (BAP, 2025) Analysis and Control Methods for Stability of Large-Scale Low-Inertia Power Systems (BAP, 2023–2024) Dynamics Security Evaluation of Renewable-Rich and Cyber-Attacked Power Systems (BAP, 2022–2024) Risk-Based Stability Assessment and Corrective Control Methods in Power Systems (BAP, 2019–2022) Wide-Area Monitoring Protection and Control System Design Using Advanced Signal Processing and Machine Learning (TÜBİTAK, 2018–2020) Advising and Grants: He is the principal investigator (PI) on multiple funded research projects from BAP and TÜBİTAK, indicating strong grant acquisition and leadership. His supervision of 27 ongoing theses reflects an active role in mentoring graduate students in electrical engineering and power systems. Labs and Teams: While specific lab names are not mentioned, his projects suggest leadership in a research group focused on smart grid technologies, AI-enabled power system security, and renewable integration at Istanbul Technical University.
Prof. Fatih Terzi is a faculty member in the Department of Urban and Regional Planning at Istanbul Technical University's Faculty of Architecture. His research focuses on sustainable urban development, resilience, ecology, GIS applications, and smart cities. He has held visiting researcher positions at Clemson University (USA), University College London, and Technical University Berlin. He has led projects supported by EU, TÜBİTAK, and others, addressing ecological planning, risk reduction, and urban regeneration. His work bridges academic research with practical urban planning, including projects with municipalities and the Ministry of Environment. He has received multiple awards for research and design, including the Best Paper Award (2025) and TÜBİTAK recognitions. Education: PhD in Urban and Regional Planning from Istanbul Technical University (2010), MSc in Urban Planning (2004), BSc in Urban and Regional Planning from Yıldız Technical University (2000). Research interests include spatial strategic planning, ecological cities, and climate-sensitive urban design. He uses urban modeling and GIS to address sustainability challenges. His recent projects include Istanbul's flood risk analysis, green space strategies, and sustainable city planning in Kayseri and Malatya. Notable awards include the 2024 TÜBİTAK award for urban resilience projects and the 2023 Istanbul Technical University Academic Performance Award. He has also been recognized for design competitions, including the İzmir Ecological Living Area Project (2021) and the 2017 Balkan Architectural Biennale Urbanism Grand Prix. Prof. Terzi holds administrative roles at Istanbul Technical University, including Merkez Danışma Kurulu Üyeliği (2023–present). He oversees academic projects on urban resilience, smart cities, and ecological planning, contributing to both national and international initiatives.
Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards
Professor Atilla Ansal is a distinguished academic in Civil Engineering at Özyeğin University's School of Engineering, where he has served as a full-time professor since March 2012 and previously as the Founding Chair of the Civil Engineering Department from 2012-2019. With an extensive career spanning over five decades, Professor Ansal has held prominent positions at Istanbul Technical University, Bogaziçi University's Kandilli Observatory and Earthquake Research Institute, and has served as a visiting professor at numerous international institutions including Northwestern University, University of California, and Tokyo University. Northwestern University, 1978 (Doctorate) Civil Engineering, Istanbul Technical University, 1969 (Master's) Civil Engineering, Istanbul Technical University, 1969 (Bachelor's) Professor Ansal's research focuses on Earthquake Geotechnical Engineering, Soil Dynamics, Seismic Hazard Analysis, Landslide hazard analysis, Seismic Microzonation, and Laboratory and In-Situ Testing of Soil Properties. His work has significantly advanced our understanding of soil behavior under seismic loading, site response analysis, and seismic microzonation methodologies. His research has direct applications in urban planning, earthquake risk mitigation, and performance-based seismic design. Professor Ansal has pioneered approaches to site-specific earthquake characterization and developed methodologies for seismic microzonation that have been implemented in numerous Turkish cities and adopted internationally. His extensive publication record demonstrates consistent contributions to earthquake engineering, with recent work focusing on probabilistic seismic microzonation, 2D basin effects, site-specific response analysis, and performance-based design approaches. His research shows a clear evolution from fundamental soil behavior studies to practical applications in urban risk assessment and mitigation. 7th Prof.N.Ambraseys Lecturer (2024), European Association for Earthquake Engineering 15th Nonveiller Lecturer (2017), Croatian Geotechnical Society Third Prof.Dr. Rıfat Yarar Lecturer (2015), Turkish Civil Engineers Association Third Ord.Prof.Dr. Hamdi Peynircioglu Lecturer (1988) Professor Ansal has advised 15 PhD students and 27 Master's students, shaping the next generation of earthquake engineers. His leadership extends to editorial roles as Editor-in-Chief of the Springer journal 'Bulletin of Earthquake Engineering' since 2002 and Editor-in-Chief for the Springer book series on 'Geotechnical, Geological and Earthquake Engineering'. He served as Secretary General (1994-2014), President (2014-2018), and Vice President (2018-2022) of the European Association for Earthquake Engineering, significantly influencing the field internationally. His work has been supported by numerous grants from Turkish government agencies, international organizations including UNESCO, and collaborative research projects across Europe. Professor Ansal has been instrumental in establishing geotechnical monitoring systems in Istanbul, including vertical arrays for site response analysis. His leadership in the 'Earthquake Master Plan for Istanbul' and 'Seismic Microzonation for Municipalities' projects has created critical infrastructure for earthquake risk management in Turkey's most populous city. His work with GeoIst, Geotechnical Earthquake Engineering and Consultancy Inc. has translated academic research into practical engineering solutions for seismic risk mitigation.
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.
Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.
Assoc. Prof. Dr. Yusuf Yaşa is an Associate Professor at Istanbul Technical University, Department of Electrical Engineering, specializing in Electrical Machines, Power Electronics, and Hybrid/Electric Vehicles. He holds a PhD from Yıldız Technical University and has served in academic and administrative roles at Bursa Technical University and Istanbul Technical University. PhD in Electrical Machines and Power Electronics, Yıldız Technical University (2006–2013) Current Vice Dean at Istanbul Technical University (2023–) Founding Partner of Yasa Motor Technologies (2018) and Nardan Power Conversion Systems Ltd. Co. (2023) His research focuses on noise mitigation in switched reluctance machines, battery cooling with graphene-enhanced phase change materials, and efficiency optimization in electric vehicle systems. He has led projects on DC fast-chargers and sensorless control of synchronous reluctance motors. His publications address energy conversion, battery management, and acoustic noise reduction. Recent research trends include advancements in electric vehicle modeling, state-of-charge estimation for Li-ion batteries, and thermal management solutions for battery systems. His work integrates simulation tools like ANSYS and machine learning for efficiency improvements. He has advised PhD and Master’s theses on topics such as battery charge rate estimation, graphene-doped PCM materials, and Kalman filter-based motor control. Collaborations span institutions like The University of Akron and companies in electric propulsion and robotics.
Caner Ünlü is an Associate Professor in the Department of Chemistry at Istanbul Technical University with 39 publications and 10 active research projects through 2025. His work focuses on quantum dot synthesis, photophysical characterization, and applications in environmental sensing and renewable energy systems. Research interests center on carbon dots, chalcogenide quantum dots, and their interactions with biological systems. Key areas include tunable emission design, photosynthetic enhancement for algae biomass production, eco-friendly ATP sensing, and micropollutant removal. His methodology integrates experimental synthesis with computational modeling and machine learning for nanomaterial optimization. Recent publications (2024-2025) demonstrate strong thematic coherence in quantum dot engineering for specific functionalities: dopant-driven metal ion sensing, defect state manipulation in chalcogenides, and spectral modulation of photosynthetic complexes. This work bridges nanomaterials science with biotechnology and environmental engineering. Scientific awards: None mentioned in source material. Ünlü has supervised 14 research students and secured multiple grants including TÜBİTAK funding for quantum dot applications in solar cells and environmental remediation. Current projects involve quantum dot integration with metal-organic frameworks and development of fuel-marking nanomaterials. While specific lab names are unreported, his collaborative projects indicate active participation in interdisciplinary teams advancing quantum dot technology for energy and environmental solutions.
Dr. Veysel Gümüş is an Associate Professor at Harran University's Faculty of Engineering, Department of Civil Engineering, where he has been since 2014. His research focuses on turbulence modeling, computational fluid dynamics, hydrological drought analysis, and time-series trend analysis. Licence (2003), Master's (2006), and Doctorate (2014) in Civil Engineering from Harran and Çukurova Universities. His research interests span hydrological drought , computational fluid dynamics , climate trend analysis , and GIS applications in hydrology . His recent work emphasizes drought risk assessment, wind speed trends, and fluid flow simulations using AI techniques. Publications since 2023 highlight his expertise in Mann-Kendall tests , copula-based drought analysis , and CMIP6 climate projections across Turkey and Morocco. He has supervised over 15 graduate theses and served as an editor/hakem for 10+ journals, including ASCE and Theoretical and Applied Climatology.
Sinan Yıldırım is a Researcher in the Faculty of Engineering and Natural Sciences at Sabancı University, Turkey. His primary research focuses on Bayesian Statistics, Monte Carlo methods, and data privacy, with interdisciplinary applications in machine learning and signal processing. He holds a BSc and MSc in Electrical and Electronics Engineering from Boğaziçi University, followed by a PhD in Mathematical Statistics from the University of Cambridge. Postdoctoral research (2013-2015) at the University of Bristol’s School of Mathematics involved the EPSRC-funded project 'Intractable Likelihood: New Challenges from Modern Applications (i-like).' His work bridges theoretical statistics with practical problems in privacy, control systems, and energy optimization. Research interests emphasize Bayesian methodologies for privacy-preserving data analysis, dynamic modeling of complex systems, and stochastic optimization algorithms. Recent publications explore differential privacy in machine learning, Monte Carlo techniques for high-dimensional inference, and applications of Bayesian methods in robotics and energy systems. Advising and grants include contributions to multi-party resource sharing frameworks and privacy-aware algorithms. His work integrates computational methods with real-world challenges in engineering and policy modeling.
Prof. Şule Itır Satoğlu is a faculty member in the Department of Industrial Engineering at Istanbul Technical University, holding the rank of Professor since 2019. She has held multiple administrative roles, including Head of Department (2025–present), Vice Rector (2020–2024), and Vice Dean (2018–2020). Her research focuses on supply chain management, optimization, sustainable operations, and disaster response systems. She has a PhD in Industrial Engineering from Istanbul Technical University (2008), an MSc in Engineering Management (2002), and a BSc in Mechanical Engineering (2000). Her work emphasizes practical applications of optimization techniques in logistics, healthcare, and disaster management. Notable contributions include developing models for blood supply chains under uncertainty, UAV-based waste detection, and sustainable urban transport fleet electrification. She has collaborated on projects funded by public and private sectors, addressing issues like lean manufacturing integration with Industry 4.0 and RFID-enabled maintenance systems. Her publications span over two decades, with recent focus on multi-objective optimization in humanitarian logistics, smart waste collection systems, and energy-efficient drone surveillance. She is a member of the TMMOB Chamber of Mechanical Engineers and actively contributes to national technology initiatives through academic leadership roles.
