جستجوی استاد راهنمای دانشگاهی

Ahmet Feyzi Ateşمشاهده پروفایل

استادیار

• Computer Science
• Software Engineering
• Data Mining
• +۷ مورد دیگر

Ahmet Feyzi Ateş is an Assistant Professor at FMV Işık University 's Faculty of Engineering and Natural Sciences, Department of Computer Science and Engineering. He previously served as an Assistant Professor at İstinye University, where he founded the Department of Software Engineering. His research focuses on Semantic Web technologies, Multi-Agent Systems, Data Mining, and Telecommunications protocols. PhD, Ege University (2008): Thesis on Semantic Web and Multi-Agent technologies for telecommunications services. MSc, University of Southern California (1994): Specialization in Data Communications and Computer Networks. MSc, Bilkent University (1993): Thesis on Formal Protocol Specifications and Conformance Testing. BSc, Yıldız Technical University (1990): First in class, Department of Computer Science and Engineering. Dr. Ateş's research integrates Semantic Technologies with Agentic AI to develop autonomous systems. His work in Data Mining applies to Call Center Text Analysis and Network Problem Detection. He explores Formal Methods for Protocol Verification and has contributed to Mobile Network Integration through Crowdsourcing. Recent publications highlight trends in Telecommunications , Software Engineering , and AI , with sub-fields like Agent-Based Services, Multimedia Synchronization, and Entitlement Management. His Semantic Technologies Lab drives innovation in Agentic AI systems. 2017 : Eşik Üstü Teşvik Ödülü (TÜBİTAK) for H2020 privacy-preserving big data projects. 2017 : Eşik Üstü Teşvik Ödülü (TÜBİTAK) for H2020 critical technology research. Dr. Ateş has held leadership roles in industry, including Project Manager at Turk Telekom and R&D Group Manager at Defne Communications. He holds a national patent for a data privacy query system and advises startups in algorithmic trading and influencer marketing.

Bekir Tevfik Akgünمشاهده پروفایل

استاد

• Artificial Intelligence
• Information Security
• Internet of Things
• +۴ مورد دیگر

Prof. Bekir Tevfik Akgün serves as Professor and Dean of the Faculty of Computer and Information Sciences at Yeditepe University, with prior academic appointments at Istanbul Okan University (Department Head, Institute Director), Ohio State University, and Yildiz Technical University (Dean). His expertise spans artificial intelligence, information security, computer graphics, and distributed systems, supported by extensive research funding and supervision of 19 graduate students. Educational background includes: Ph.D. in Control and Computer Engineering, Istanbul Technical University (1991) M.S. in Control and Computer Engineering, Istanbul Technical University (1984) B.S. in Electrical Engineering, Istanbul State Academy of Engineering and Architecture (1981) His research integrates theoretical and applied computer science, with recent focus on AI-driven environmental monitoring (forest fire detection via drone-IoT networks), bioinformatics security, and advanced color models. Early work established foundational contributions in digital art (marbled paper techniques) and real-time operating systems, evolving into contemporary applications in energy management and autonomous systems. Publication trends since 2001 reveal consistent innovation across domains: computer graphics (2004-2024), distributed systems (2001), and emerging AI/IoT applications (2022-2024). The interdisciplinary nature of his work bridges theoretical computer science with practical implementations in security, environmental science, and human-computer interaction. Scientific Awards: No major scientific awards were listed in the provided information. Advising and Grants: Supervised 18 master's theses and 1 doctoral dissertation covering autonomous vehicles, deep learning, and IoT systems. Secured over 1.5 million Turkish Lira in research funding through TÜBİTAK projects including Smart Renewable Energy Management System (2018-2021, 159,636 TL) and Advanced Autonomous Bus System (2018-2021, 915,810.99 TL), with additional projects in battery management and metrobus efficiency. Labs and Teams: Project descriptions indicate leadership in autonomous systems teams and energy management research groups, though specific laboratory affiliations are not detailed in the source text.

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +۳ مورد دیگر

Ozgur S. Oguz is an Assistant Professor in the Department of Computer Engineering at Bilkent University, leading the Learning for Intelligent Robotic Agents (LiRA) Lab. His research focuses on developing algorithms for autonomous agents, emphasizing learning, reasoning, and planning capabilities in robotics and decision-making domains. Prior to joining Bilkent, he was a postdoctoral researcher at the Max Planck Institute for Intelligent Systems and Stuttgart University, and earned his PhD from TU Munich in Human-Robot Interaction (HRI). He holds degrees from UBC and Koç University. His research interests span AI, robotics, reinforcement learning, and robotic manipulation planning. Notable contributions include work on curriculum-based reinforcement learning, safe learning frameworks for dynamical systems, and hybrid planning algorithms for sequential manipulation tasks. He actively teaches courses such as Learning for Robotics (CS 449/549) and Artificial Intelligence (CS 461). Recent publications highlight advancements in diffusion-based curriculum learning, corrected experience replay methods, and neural field representations for articulated object manipulation. His work frequently appears in top venues like NeurIPS, ICRA, and IROS. He mentors graduate and undergraduate students in AI and robotics, with current opportunities for postdoctoral researchers. Key collaborations include projects with the Cluster of Excellence IntCDC and the LiRA Lab’s focus on interdisciplinary robotics research.

Osman Melih Toğçuoğluمشاهده پروفایل

دانشیار

• Radiology
• Diagnostic Imaging
• Interventional Radiology
• +۵ مورد دیگر

Assoc. Prof. Dr. Osman Melih Toğçuoğlu serves as an Associate Professor in the Department of Radiology at Yeditepe University Faculty of Medicine, a position he has held since 2016. Previously, he was a Research Assistant at Hacettepe University Faculty of Medicine (English Program) from 2010 to 2014. His clinical and academic work spans diagnostic and interventional radiology with emphasis on complex vascular and neurological imaging. His educational foundation includes: 2002-2009: Bachelor of Medicine (English Program), Marmara University 2010-2014: Specialist in Radiodiagnostics, Hacettepe University Dr. Toğçuoğlu's research demonstrates exceptional breadth across interventional radiology , neuroradiology , and abdominal imaging . His work on dual-energy CT dose optimization, cerebral aneurysm treatments, and pediatric vascular interventions has established him as a technical innovator. He consistently bridges clinical challenges with advanced imaging solutions, particularly in perfusion studies and minimally invasive tumor therapies. His methodology emphasizes quantitative analysis and safety protocols in contrast agent usage. Analysis of his recent publications (2018-2021) reveals three dominant trends: (1) Technical refinement of dual-energy CT for dose reduction, (2) Expansion of interventional techniques for vascular pathologies including complex aneurysms and hemoptysis management, and (3) Growing focus on neurological applications like diffusion tensor tractography for surgical planning. His work increasingly integrates pediatric considerations across multiple subspecialties. His scientific recognition includes: Turkish Radiology Association Photo Competition 2nd Prize in Radiological Photography Certificate of Honor from Marmara University Neurointerventional Radiology Fellowship from European Society of Minimally Invasive Neurological Therapy Dr. Toğçuoğlu has supervised multiple theses while teaching advanced courses in gastrointestinal and vascular imaging at Yeditepe University. His administrative duties include curriculum development for radiology residents. He actively collaborates on research projects involving perfusion CT standardization and interventional oncology protocols, with grant support from radiological societies. His memberships in international societies facilitate cross-border research on vascular interventions. He maintains active clinical practice through affiliations with Ankara Keçiören Training and Research Hospital and contributes to national radiology guidelines through the Turkish Radiology Society. His ongoing work focuses on AI-assisted image analysis for tumor characterization and expanding dual-energy CT applications in emergency settings.

Dilek Günneç Danışمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network optimization models
• Social network analysis
• +۷ مورد دیگر

Dilek Günneç Danış is an Associate Professor in the Industrial Engineering Department at Özyeğin University, Turkey. Her academic work spans network optimization, social network analysis, and humanitarian logistics with applications in disaster management, marketing, and public health. Ph.D. in Operations Management/Management Science, University of Maryland (2012) M.Sc. in Industrial Engineering, Koç University (2007) B.Sc. in Mathematics with Minor in Operations Research, Middle East Technical University (2005) Research Interests : Combinatorial optimization and complex systems Network modeling for information propagation New product development under social influences Humanitarian logistics in refugee crises Disaster mitigation and infrastructure resilience Scientific Contributions : Developed agent-based models for refugee migration paths Created capacitated mobile facility location frameworks Advanced influence maximization algorithms for social networks Optimized disaster response logistics systems Scientific Awards : Best Poster Award (Business Analytics Workshop, 2017) Advised team: Third Place INFORMS Student Competition (2020)

Osman Darcanمشاهده پروفایل

دانشیار

• Programming Techniques
• Object Oriented System Development
• Simulation
• +۲ مورد دیگر

Osman Darcan is an Associate Professor at Bogazici University in Istanbul, Turkey, with a verified institutional email osman.darcan@boun.edu.tr. His academic career spans over two decades with consistent research output in computational fields. Education Background: Undergraduate: Boğazici University, Computer Engineering Masters: Boğaziçi University, Computer Engineering Ph.D.: Boğaziçi University, Industrial Engineering His research focuses on practical applications of computational techniques across multiple domains. Darcan's work in Programming Techniques emphasizes object-oriented development frameworks and visualization tools for educational purposes. His Simulation research includes distributed systems and load balancing algorithms, while Artificial Intelligence applications target data mining for student profiling and e-commerce. The E-Learning strand features innovative tools for linear programming, geometric problem-solving, and programming education, demonstrating a strong commitment to pedagogical innovation through technology. Publication trends (2000-2012) reveal an evolution from foundational work in distributed simulation (2000-2006) toward applied data mining in education and e-commerce (2009-2012). His research consistently bridges theoretical computer science with practical educational and business applications, particularly in cluster analysis for student performance and agent-based modeling for market simulations. No scientific awards were documented in the source material. While specific advising records and grant details weren't provided, Darcan's publication pattern indicates supervision of students in data mining and simulation projects. His international conference presence (IBIMA, PICMET, World Conference on E-Learning) suggests active participation in global academic networks. The absence of lab/team mentions implies independent or small-group research operations focused on software tool development.

Betül Bulutمشاهده پروفایل

استادیار

• Industrial Engineering
• Data Analytics
• Fraud Detection
• +۵ مورد دیگر

Betül Bulut is an Assistant Professor in the Department of Industrial Engineering at Beykent University , Turkey. She teaches courses such as Technical English , Enterprise Resource Planning , and Engineering Economics , combining industrial engineering principles with applied analytics. Research Focus Her research spans fraud detection , ergonomic risk assessment , healthcare process optimization , and retail analytics . She employs machine learning and simulation modeling to address spatio-temporal patterns in banking fraud, hospital workflows, and retail product clustering. Publication Trends Recent work emphasizes unsupervised learning for ATM fraud detection and multi-agent systems in healthcare. Earlier studies focus on analytical network processes for software selection and ergonomic risk evaluation in occupational safety.

Doğan ERBAHARمشاهده پروفایل

استاد

• Computational Physics
• Carbon Nanomaterials
• Molecular Dynamics Simulations
• +۳ مورد دیگر

Prof. Dr. Doğan ERBAHAR is a Professor in the Mechanical Engineering (English) department at Dogus University's Faculty of Engineering. His academic journey includes a B.Sc. in Physics from Boğaziçi University, M.Sc. and Ph.D. in Physics from Gebze Yüksek Teknoloji Enstitüsü. He has conducted postdoctoral research at Michigan State University and CNRS's IMN Institute in France. Since 2018, he has been affiliated with Dogus University. His research focuses on computational physics, carbon nanomaterials, molecular dynamics simulations, and DFT calculations. Notable contributions include studies on graphene, superconductivity in C₆₀ nanoarrays, and the development of fluorescent sensors for ion detection. He co-authored the book Nanoscale Materials for Warfare Agent Detection: Nanoscience for Security (Springer, 2019) and has supervised two doctoral/master's theses: 'Fullerenes in the origin of life' and 'Machine learning methods in analyzing 2D nanostructures'. His publications span journals like Physical Review B , Computational Materials Science , and Carbon , emphasizing interdisciplinary approaches in materials science. He maintains an active role in academic service and has held roles such as Research Assistant at Gebze Yüksek Teknoloji Enstitüsü (2004) and Dozent at Dogus University (2018).

Mustafa Kucukislamogluمشاهده پروفایل

استاد

• Organic Chemistry
• Biochemistry
• Medicinal Chemistry
• +۳ مورد دیگر

Prof. Dr. Mustafa Kucukislamoglu is a full professor at the Department of Chemistry , Faculty of Science , Sakarya University , Turkey. He has actively contributed to organic chemistry research, particularly in enzyme inhibition studies and natural compound synthesis, since the early 2000s. Research Interests: Synthesis of natural compounds (flavonoids, coumarins, anthocyanins) Structure-activity relationships (SAR) in enzyme inhibitors Carbonic anhydrase and tyrosinase inhibition mechanisms Solvent-free and green catalytic methods Phthalocyanine and Schiff base derivatives Adsorption of pollutants using bio-based materials Recent Publications focus on medicinally relevant heterocycles, anticancer agents, and Alzheimer's disease multitarget compounds. He has also supervised over 20 thesis projects, including doctoral and master's works on flavonoid synthesis, anthocyanin derivatives, and industrial catalyst applications.

• Biotechnology
• Nanotechnology
• Microfluidics
• +۵ مورد دیگر

Esra İLHAN AYIŞIĞI is a Lecturer in the Department of Genetics and Bioengineering at the Faculty of Engineering and Architecture, Kirsehir Ahi Evran University, where she has served since 2024 after working as a Research Assistant from 2021-2024. She previously held research positions at Ege University from 2014-2021. Her academic credentials include: PhD in Bioengineering from Ege University (2015-2021) Master's Degree in Bioengineering from Ege University (2012-2015) Bachelor's Degree in Bioengineering from Ege University (2007-2012) Dr. İLHAN AYIŞIĞI's research spans biotechnology, nanotechnology, and microfluidics , with particular emphasis on drug delivery systems, tissue engineering, and cancer therapeutics. Her work bridges engineering principles with biological applications, developing innovative solutions for medical challenges through microfluidic platforms and nanomaterial design. Analysis of her publication record reveals a strong focus on nanoparticle-based drug delivery and 3D bioprinting for tissue regeneration , with increasing emphasis on targeted cancer therapies and biomimetic scaffolds. Her research trajectory demonstrates progression from fundamental nanomaterial synthesis to increasingly complex translational applications in bone regeneration, cartilage repair, and cancer treatment. Her scientific recognition includes: Biodesign for Aesthetics - Best Poster Award (2015, Ege University) Dr. İLHAN AYIŞIĞI actively leads and participates in numerous research projects, including as principal investigator for "Synthesis of Carvacrol-Loaded Nanoformulations on Microfluidic Platform" and "Elisitor Effects on β-carotene Production in Daucus carota L. Suspension Cultures." She maintains extensive collaborations with researchers across Turkey and internationally, particularly in nanomedicine and tissue engineering fields. Her laboratory work centers on microfluidic platforms for nanoparticle synthesis and characterization, combining expertise in biomaterials science, microfluidics, and molecular biology to develop innovative therapeutic solutions with clinical translation potential.

Cem Ersoyمشاهده پروفایل

استاد

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

Ömer Lütfi Şenمشاهده پروفایل

استاد

• Climate Modeling
• Regional Climate
• Vegetation
• +۴ مورد دیگر

Ömer Lütfi Şen is a Professor at Istanbul Technical University's Eurasia Institute of Earth Sciences, where he conducts cutting-edge research in climate science and Earth system modeling. His work focuses on regional climate dynamics, particularly in the Euro-Mediterranean region and Turkey, with significant contributions to understanding climate change impacts and developing predictive models. Professor Şen's research interests span multiple dimensions of climate science, with particular expertise in Climate Modeling , Regional Climate dynamics, Vegetation responses to climate change, and Land Cover Change analysis. His work often intersects with practical applications for understanding Tigris River basin hydrology and broader Climate Change impacts across Earth and Planetary Sciences. With an h-index of 19 and 1,278 citations, his research output spans from 1998 to the present, with particularly productive years in 2012-2025. His recent publications demonstrate a strong focus on advanced climate modeling techniques, including variable-resolution configurations of global models, analysis of ENSO effects, and the impact of atmospheric rivers on regional climate and hydrology. These works collectively advance our understanding of climate dynamics in vulnerable regions and inform adaptation strategies, with several studies gaining significant media attention and citations. Professor Şen has supervised 17 graduate students throughout his career, contributing significantly to the development of the next generation of climate scientists. His research has been supported by numerous projects, including those examining climate change impacts on wooden species in Turkey, electricity generation and CO2 emissions, and regional climate dynamics in the Euro-Mediterranean region.

Emin Kuğuمشاهده پروفایل

استادیار

• Computer Science
• Information Security
• Cryptology
• +۷ مورد دیگر

Emin Kuğu is an Assistant Professor in the Department of Software Engineering at TED University, Faculty of Engineering, since May 2020. He previously served as Deputy Head of Department and Head of the Computer Engineering Department at the Turkish Air Force Academy (2014-2017) and held part-time roles at other institutions. Education : PhD in Electrical and Computer Engineering (Old Dominion University, 2011), MSc in Software Engineering (Turkish Air Force Academy, 2005), BSc in Computer Science Engineering (Istanbul University, 1996). Research Interests : Emin's work spans Information Security , Cryptology , Software Security , Computer Networks , Communication Protocols , Databases , and Fuzzy Logic . His recent studies focus on machine learning for healthcare , deep learning in phishing detection , and location spoofing vulnerabilities in e-scooters. He has contributed to UAV path planning , intrusion detection , and remote sensing applications . Scientific Awards : Recipient of the Gene Newman Award for Excellence in M&S Research (Old Dominion University, 2009). Service and Leadership : Emin has led editorial roles at the Journal of Aeronautics and Space Technologies , served on competition juries (e.g., Turkish Exporters' Assembly InovaTİM Competition), and organized international conferences like the 36th Computer Engineering Department Heads Meeting (2022) and the 6th International Conference on Computer Science and Engineering (2021).

• Biomechanics
• Stem Cell Biology
• Breast Cancer Mechanobiology
• +۵ مورد دیگر

Dr. Engin Özçivici is an Associate Professor at the Department of Bioengineering at Izmir Institute of Technology , Turkey. He joined the institution in 2010 as a faculty member in Mechanical Engineering and later became a founding member of the Bioengineering Department in 2015. His research focuses on mechanobiology , stem cell adaptation , and breast cancer under mechanical signals. Education: BSc in Mechanical Engineering, Dokuz Eylül University (2002) MSc in Mechanical Engineering, Stony Brook University (2005) PhD in Biomedical Engineering, Stony Brook University (2009) Research Interests include: Mechanical signal transduction in healthy and diseased cells Effects of low-intensity vibrations on stem cell populations Biomechanical drivers of breast cancer progression and osteogenesis Applications of magnetic levitation in 3D tissue culture and cellular manipulation Scientific Contributions: Co-authored 15+ articles on mechanical adaptation of mesenchymal stem cells , connexin signaling , and biomagnetic biofabrication Pioneered weightlessness models using magnetic levitation for tissue engineering

Mahmut Kiliçliمشاهده پروفایل

استادیار

• Food Science and Engineering
• Food Technology
• Food Waste Valorization
• +۴ مورد دیگر

Dr. Mahmut Kiliçli is an Assistant Professor at the Naci Topçuoğlu Vocational School , Gaziantep University , specializing in Food Processing and Food Technologies . His research focuses on sustainable food processing, waste valorization (e.g., aquafaba, grape pomace, microalgae), and ultrasound applications. Education : PhD in Food Engineering (2022, Yildiz Technical University); Master’s in Food Engineering (2016); Licence in Food Engineering (2012, Kahramanmaras Sutcu Imam University). Research Interests include: Food waste valorization (aquafaba, grape pomace, microalgae) Ultrasound and electrosonication for food safety Rheological and physicochemical characterization of food systems Novel drying techniques (vacuum-ultrasound) Plant-based food ingredients Chocolate and confectionery formulation Article Trends reveal expertise in aquafaba utilization (2021–2025), ultrasound-assisted food processing (2014–2023), food waste integration into chocolate derivatives (2016–2021), and microbial/pesticide decontamination (2014–2019). Projects : TÜBİTAK-funded studies on vegetable safety via ultrasound/electricity (2013–2015) National projects on meat drying (2012–2014), chocolate waste optimization (2018–2019), and aquafaba properties (2021–2023)