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Gözde YENİCE ÇAKMAK is a Lecturer at Trakya University's Faculty of Pharmacy, Department of Pharmaceutical Chemistry, where she has been a Teaching Assistant since January 2017. She completed her PhD in Pharmaceutical Chemistry at Ankara University (2024), with doctoral research on in silico design of anticancer benzazole derivatives. She holds two Master's degrees: one in Pharmacology from Marmara University (2014) and another in Basic Pharmaceutical Sciences from Trakya University (2019). Her international experience includes guest scientist positions at Harvard University (2023) and the University of Siena (2019), where she trained in computational chemistry. Her research focuses on computational drug discovery, particularly designing enzyme inhibitors for cancer therapy. Key interests include: Molecular modeling of benzazole/benzothiazole derivatives targeting hTopo IIα and KRAS(G12C) Development of HDAC inhibitors for epigenetic cancer therapy Structure-based drug design using molecular docking and dynamics simulations Her publications (2018–2022) demonstrate a consistent focus on in silico anticancer drug development, with emphasis on optimizing benzothiazole scaffolds for targeted oncology applications. Computational approaches constitute 100% of her recent work. She has contributed to research teams at Harvard Medical School's BIDMC (Predoctoral Scholar, 2023–2024) and the University of Siena's Department of Biotechnology, Chemistry and Pharmacy (Computational Chemistry Trainee, 2019).

• Pharmaceutical Chemistry
• Computational Drug Design
• Anticancer Agents
• +2 more

Barış Ethem Süzek is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, Muğla Sitki Koçman University. His academic career spans institutions including Middle East Technical University (BS), Johns Hopkins University (MS), and George Mason University (PhD) in Computational Biology. He specializes in bioinformatics and computational biology, focusing on protein informatics, genetic analysis, and machine learning applications in medical research. Education BS: Middle East Technical University - Computer Engineering (1997) MS: Johns Hopkins University - Computer Science (2000) PhD: George Mason University - Computational Biology (2012) His research integrates bioinformatics with molecular dynamics, particularly in host-pathogen interactions, regenerative medicine, and genomic data analysis. He has developed machine learning tools for viral interaction prediction and variant analysis systems. His work with UniProt and cancer Biomedical Informatics Grid projects demonstrates expertise in large-scale biological data integration. Scientific awards include Collaboration, Outstanding Achievement, and Change Agent Awards from the cancer Biomedical Informatics Grid, plus multiple patent recognitions for biomedical systems. He has supervised numerous graduate students in bioinformatics, computational genetics, and forensic biology projects.

• Bioinformatics
• Computational Biology
• Protein Informatics
• +3 more

Cafer Erhan Bozdağ is an Assistant Professor at Istanbul Technical University (ITU), affiliated with both the Department of Business Administration and the Department of Industrial Engineering. He holds a PhD in Industrial Engineering from ITU (1994) and has been a lecturer since 1989. His expertise spans operations research, supply chain management, and decision-making systems, with a focus on fuzzy logic applications, simulation modeling, and risk assessment. Education: PhD in Industrial Engineering, ITU (1994) Master's in Industrial Engineering, ITU (1988) Bachelor's in Industrial Engineering, ITU (1984) Research Interests: Dr. Bozdağ's work integrates interdisciplinary approaches to solve complex industrial and business problems. He has pioneered studies in supply chain risk management, agent-based modeling for social behaviors (e.g., organ donation dynamics), and simulation techniques for pedestrian flow optimization (e.g., ITU Science Center design). His fuzzy multi-criteria decision-making frameworks have been applied to new product development risk assessment and job evaluation systems in the metal industry. Projects & Contributions: Lead researcher on projects like the Metal Industry Work Grouping System (MESS) and a Fuzzy Group Decision Making Approach for Supply Chain Risk Assessment (2015–2021). Developed simulation models for microgrid market design, arterial reconstruction, and lean production systems. Advising & Mentoring: Supervised over 20 graduate theses since 2004, covering topics from ATM cash optimization to technology strategy in defense industries. Notable advisees include Zeynep Arslan (Scrum team performance analysis) and Yakup Turgut (machine learning-driven agent-based models). Labs/Teams: Active in ITU's Industrial Engineering and Business Administration research groups, focusing on systems analysis, decision support systems, and applied operations research.

• Supply Chain Management
• Operations Research
• Fuzzy Decision Making
• +5 more

Professor Hakan Temeltaş is affiliated with Istanbul Technical University , where he serves in the Department of Control and Automation Engineering . His research focuses on robotics, control systems, and autonomous technologies. He has contributed to advancements in motion planning, localization, and deep reinforcement learning for robotic systems. Research Interests: Robotics, Autonomous Systems, Control Engineering, Machine Learning Current Projects: Deep reinforcement learning for quadrupedal robots, localization frameworks, multi-agent systems His recent work includes autonomous exploration strategies using Rapidly-Exploring Random Trees (RRT), multi-stage localization for mobile robots, and quaternion-based orientation estimation in robot manipulators. He supervises projects involving adversarial attack mitigation and self-recovery mechanisms in quadrupedal robots. Publications highlight applications of deep reinforcement learning in robotics, with a focus on dynamic stability, sensor fusion, and simulation environments. His research outputs span conferences like IEEE RAAI and journals such as Robotica and Unmanned Systems . Scientific Awards : None explicitly mentioned in the provided data. As a principal investigator, he leads projects on ground reaction force balancing, autonomous navigation, and swarm robotics. His collaborations extend to simulation frameworks and real-time control systems for mobile robots.

• Robotics
• Autonomous Systems
• Control Engineering
• +6 more

Professor Okan Topçu is a faculty member in the Department of Computer Engineering at Middle East Technical University, Northern Cyprus Campus (METU NCC), where he serves as Head of the Academic Board of Engineering and Natural Sciences. He holds a Ph.D. and M.S. from Middle East Technical University (Ankara, Turkey, 2007 and 1999 respectively). Education: Ph.D. & M.S. in Computer Engineering from METU Ankara Research Focus: Modeling and simulation, agent-based systems, distributed simulation, cybersecurity, and model-driven engineering

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +9 more

Prof. Ayla OĞUŞ BİNATLI serves as Professor in the Department of Economics at the Faculty of Business Economics, Izmir University of Economics. She earned her PhD in Economics from Boston College in 1999 and joined Izmir University of Economics in 2002 after working as an assistant professor in the USA. She has chaired the Department of Economics since 2009. Education: PhD (Boston College, 1999), Undergraduate (Boğaziçi University, 1989) Research Interests: Her work primarily focuses on applied econometrics and international economics , with specialized studies in Turkey’s trade dynamics, financial markets, environmental economics, and cultural economics. She has contributed to debates on foreign direct investment, monetary policy transmission, and refugee integration into labor markets. Scientific Contributions: Her publications span journals like Applied Economics Letters , Sustainability , and Empirical Studies of the Arts , with methodological emphasis on econometric modeling and policy analysis. Conference papers include analyses of Turkey’s sugar industry and trade elasticities. Thesis Advisorship: She has mentored graduate students on topics ranging from credit default swaps to local economic development and investment strategies in Turkish companies.

• Applied Econometrics
• International Economics
• Cultural Economics
• +3 more

Pınar ÖZ is an Associate Professor at Uskudar University, Department of Molecular Biology and Genetics, since 2015. Her research spans neurobiology, computational neuroscience, and neurodevelopmental disorders, with a focus on membrane properties, adult neurogenesis, and orexin system dynamics. Boğaziçi University, Institute of Biomedical Engineering (2012–2014) Max Planck Institute for Dynamics and Self-organization (2011–2012) Research Interests: Computational modeling of neuronal excitability Neurodevelopmental disorders, including autism models Role of orexin in sleep deprivation and sensorimotor gating Neuroprotective agents (e.g., zeatin) in ischemic models Evolutionary bioinformatics of neurochemical pathways Applications of agent-based modeling in neurogenesis Recent Trends: Publications from 2015–2025 emphasize interdisciplinary approaches combining in vitro and in vivo models with computational tools to study hippocampal plasticity, neurodegeneration, and pharmacological interventions. Scientific Awards: Georg Christoph Lichtenberg Scholarship (Lower Saxony Ministry of Science and Culture, Germany, 2008–2009) Projects: Investigates personalized drug monitoring, neuroprotective effects of zeatin, orexin system's role in psychosis models, and computational frameworks for neurogenesis. She also supervises graduate theses on topics like neurodevelopmental inhibition networks and age-dependent simulations.

• Neurobiology
• Theoretical and Computational Neurobiophysics
• Neurodevelopment
• +5 more

Faruk Polat is a Professor of Computer Science at the Department of Computer Engineering, College of Engineering, Middle East Technical University (METU) in Ankara, Turkey. He has been serving at METU since 1994, progressing from Assistant Professor (1994-1996) to Associate Professor (1996-2002) and then to full Professor (2002-present). He received his B.S. in Computer Engineering from METU in 1987, followed by M.S. and Ph.D. degrees from Bilkent University in 1989 and 1994 respectively, with a visiting scholar period at the University of Minnesota (1992-1993). His primary research interests include Artificial Intelligence, Reinforcement Learning, Multiagent Systems, Markov Decision Processes, and Partially Observable Markov Decision Processes. His work significantly contributes to computational biology applications, particularly in gene regulatory network modeling, and to multiagent path finding in virtual simulations and computer games. He has published extensively in top-tier journals and conferences, with recent publications extending into 2025. Professor Polat has supervised numerous graduate students who have gone on to successful careers in academia and industry, including positions at Meta, Google, Apple, Microsoft, and various universities. His research group continues to be highly active, with current PhD students working on reinforcement learning, multiagent path planning, and gene regulatory networks. His scientific contributions span multiple domains, with a clear trajectory from foundational work in multiagent systems to increasingly sophisticated applications in computational biology and autonomous systems. His recent publications indicate continued innovation in reinforcement learning techniques, particularly in handling partial observability and complex path planning problems. NATO Science Scholar at University of Minnesota (1992-1993) Member and Team Leader/Deputy Team Leader of National Informatics Olympiad Group (1995-2011) Professor Polat has advised numerous PhD and Master's students who have secured positions at leading technology companies and academic institutions worldwide. His research has been supported by grants including Tubitak 1001 Project (Grant No. 115G086). His work bridges theoretical advances in artificial intelligence with practical applications in computational biology and autonomous systems.

• Artificial Intelligence
• Reinforcement Learning
• Multiagent Systems
• +6 more

M. Ural Uluer serves as an Assistant Professor at Middle East Technical University (METU) in Ankara, Turkey, with his academic base in the university's engineering programs. He maintains an active office in room A-209 and can be reached at uluer@metu.edu.tr. Dr. Uluer's entire academic formation occurred at METU: Bachelor of Science (B.Sc.) - 2003 Master of Science (M.Sc.) - 2007 Doctor of Philosophy (Ph.D.) - 2024 His research program targets critical sustainability challenges in industrial manufacturing through: Real-time energy monitoring of CNC machine tools Theoretical modeling of process energy consumption Carbon footprint assessment for production systems Life cycle analysis methodologies Decision frameworks for eco-efficient manufacturing This work consistently bridges theoretical innovation with industrial applications, particularly in Turkish manufacturing sectors. Analysis of his publication timeline (2007-2016) reveals an evolving research trajectory from virtual factory systems for SMEs toward sophisticated energy prediction models using STEP standards. His most impactful contributions focus on quantifiable energy reduction in manufacturing process chains, exemplified by the 2016 E-MPC framework applied in household appliance production. The research demonstrates strong methodological continuity in applying computational modeling to sustainable manufacturing challenges. No major scientific awards are documented in publicly available sources at this stage of his career. As a newly appointed Assistant Professor following his 2024 Ph.D., Dr. Uluer is establishing his academic mentorship profile. Current public records contain no listings of graduate students or externally funded research grants.

• Manufacturing Engineering
• Energy Efficient Manufacturing
• Energy Monitoring of CNC Machine Tools
• +2 more

Prof. Hande Demirel is a Professor at the Department of Geomatics Engineering, Istanbul Technical University. She holds a PhD in Geoinformatics from Technical University of Berlin (2002). Her academic career includes roles as Associate Professor (2008–2019) and Assistant Professor (2004–2008) at ITU, alongside research at the European Commission Joint Research Center (2011–2014). She specializes in GIS applications, remote sensing, photogrammetry, and spatial data analysis. Education: B.Sc. (1996) and M.Sc. (1998) in Geodesy & Photogrammetry from ITU, followed by a PhD in Geoinformatics (2002) from TU Berlin. Awards include Best PhD Award (2003), DAAD Scholarship (2007), and Best Poster Award (2016). Research focuses on transportation accessibility, climate change impacts, 3D spatial modeling, and BIM-GIS integration. She leads projects like 'Building Information Model Based Fire Evacuation Simulation' (TUBITAK-funded) and 'Spatio-Temporal Accessibility Analysis in Istanbul'. Key contributions include over 30 peer-reviewed publications, including works on land use prediction, ship detection via AI, and indoor navigation systems. She advises numerous graduate students, with 15+ theses supervised since 2009. Active in professional societies including the German and American Associations for Remote Sensing.

• GIS
• Remote Sensing
• Photogrammetry
• +7 more

Errikos Melissinos is an Assistant Professor of Finance at Özyeğin University's Faculty of Business. He holds a PhD in Economics from Goethe University Frankfurt, an MA in Economics and Finance from the Barcelona School of Economics, and a Bachelor's in Law from the University of Athens. His research focuses on monetary economics, asset pricing, and computational methods, with special emphasis on real term premia in consumption-based models and solution methods for complex economic models. Prior to his current position, he worked at the Leibniz Institute for Financial Research SAFE and the Deutsche Bundesbank. His research explores topics such as stochastic volatility effects on bond premia, perturbation methods for recursive utility models, and multidimensional skill learning in labor markets. Current work in progress includes analysis of stock market participation and equity premium puzzles, as well as regional Phillips curve dynamics. Teaching responsibilities include courses in Finance (FIN202), Investments (FIN301), and International Finance (FIN401). No scientific awards are explicitly mentioned, though his active research output indicates potential for future recognition. He has no listed advisees/students or grant information in the provided materials. His work frequently intersects with computational techniques applied to macro-finance problems, reflecting a strong methodological focus complementing his theoretical contributions.

• Macroeconomics
• Finance
• Monetary Economics
• +3 more

Bertan Badur is a Professor at Boğaziçi University, where he teaches courses such as MIS 132 - Object Oriented Programming , MIS 331 - Data Mining , and CSE 551 - Computational Methods . His research focuses on Data Mining, Agent-Based Modeling, and Machine Learning. Undergraduate: Boğaziçi University, Chemical Engineering M.A.: Boğaziçi University, Economics Ph.D.: Boğaziçi University, Economics His work spans interdisciplinary applications, including predictive analytics in e-commerce , game theory for market share dynamics , and agent-based simulations for migration and social behavior . He has contributed to fields like IT risk modeling , social media analysis for education , and IoT research trends . Recent publications highlight trends in deep learning for customer lifetime value prediction , Nash equilibrium in economic competition , and spatiotemporal crime risk modeling . His academic career bridges computational methods with socio-economic challenges.

• Data Mining
• Agent-Based Modeling
• Machine Learning
• +2 more

Çerağ Esra Çuhadar is an Associate Professor in the Department of Political Science at Bilkent University. She holds a Ph.D. in International Relations from Syracuse University (2004). Her research focuses on negotiations, third-party intervention, foreign policy analysis, and political psychology with special attention to conflict resolution and peacebuilding in regions like Cyprus, Israel-Palestine, and Turkey. She has published extensively on topics including civil society inclusion in peace processes, track-two diplomacy, and leadership decision-making. Her work emphasizes interdisciplinary approaches, incorporating political psychology and simulation-based learning tools to understand conflict dynamics. Recent contributions explore the impact of exogenous political shocks on leadership traits and the role of business sector actors in negotiation tables. She is a frequent contributor to high-impact journals such as International Negotiation , Political Psychology , and International Studies Review .

• International Relations
• Conflict Resolution
• Peace Studies
• +3 more

Ahmet Doğan ERGİN is an Associate Professor at Trakya University's Faculty of Pharmacy, Department of Pharmaceutical Technology. He served as Vice Dean of the Faculty of Pharmacy from 2020 to 2024 and previously led the Department of Pharmaceutical Technology (2020-2023). His academic journey includes a PhD from Ankara University (2019) and postdoctoral research at the University of Turin, Italy (2022-2023). His research focuses on nanotechnology-based drug delivery systems, particularly SAMe and coenzyme Q10 formulations, with emphasis on enhancing bioavailability and targeted delivery. He has authored over 20 SCI-indexed articles and edited sections in books on Quality by Design (QbD) principles for parenteral and topical formulations. Key awards include the 2023 Trakya University Scientific Publication Award. He teaches advanced courses in nanotechnology, regulatory affairs, and pharmaceutical technology, and advises master's theses in nanoparticle drug delivery systems. His work spans colonic targeting nanocarriers, mitochondria-targeted nanotherapy, and cytotoxic activity evaluations in hepatic cancer models. He maintains active collaborations in drug formulation optimization and safety profiling through in vitro/in vivo studies.

• Pharmaceutical Technology
• Nanomedicine
• Drug Delivery Systems
• +8 more

Fahriye ERCAN is a Professor at the Faculty of Agriculture, Kırşehir Ahi Evran University , specializing in Entomology and Animal Systematics . She has been with the university since 2023, previously serving as an Associate Professor in the same faculty from 2018 to 2023, and as Assistant Professor in the Department of Genetics and Bioengineering at the Faculty of Engineering and Architecture from 2015 to 2018. Before that, she was a Research Assistant at Erciyes University's Science Faculty from 2004 to 2009. Doctorate in Biology from Erciyes University, Institute of Science (2004-2009) MSc in Biology (Thesis) from Erciyes University, Institute of Science (2002-2004) BA in Biology Program from Erciyes University, Faculty of Arts and Sciences (1998-2002) Her research focuses on: Molecular identification of insect pests and parasitoids Biochemical and molecular interactions in biocontrol agents Plant extracts and their impact on insect models Toxicological and antioxidant enzyme responses in insects Molecular mechanisms of natural compounds in cancer models She has extensive experience in scientific projects , with 15 projects led or participated in, including studies on Trichogramma parasitoids, Hypericum perforatum effects, and Bolanthus turcicus extract applications. Her scientific impact includes 241 citations, with an h-index of 9 (UNIS), 7 (WoS), 8 (Scopus), and 10 (Google Scholar). Her recent scientific publications cover molecular entomology, toxicological effects of plant extracts, and computational modeling of drug interactions. She has also published book chapters on biocontrol and plant-based insecticidal effects. She has received recognition, including the 2007 Best Presentation Award from the European Society for New Methods in Agricultural Research. She has been involved in graduate mentoring , advising several Master's theses, including those of Ülkü Yıldız Kızıl, Elif Özlem Torun, Başak Yapıcı, Şerif Yasin Köksal, Fatma Kübra Ata, Melih Şentürk, and Tuğba Kaya Baran. She teaches courses in Entomology , Molecular Diagnostic Methods in Taxonomy , and Advanced Molecular Techniques at both undergraduate and graduate levels.

• Entomology
• Animal Systematics
• Molecular Biology
• +3 more