جست‌وجوی استاد و پژوهشگر

Ahmet Acarمشاهده پروفایل

دانشیار

• Cancer Biology
• Precision Medicine
• Drug Resistance Mechanisms
• +۳ مورد دیگر

Dr. Ahmet Acar is an Associate Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the Cancer Precision Medicine and Drug Resistance Laboratory, focusing on understanding mechanisms of drug resistance in cancer. His research integrates experimental models, next-generation sequencing, and deep learning to address clinical challenges in cancer therapy. Dr. Acar holds a B.Sc. from METU's Biological Sciences department and a Ph.D. from the Cancer Research UK Manchester Institute. He completed postdoctoral training at the Institute of Cancer Research, London, and the University of Manchester. Research Interests: Drug resistance mechanisms, precision oncology, tumor microenvironment modeling, patient-derived organoids, computational pathology, and evolutionary cancer biology. His lab develops 2D/3D co-culture systems, PDO biobanks, and AI-driven histopathology tools to improve treatment strategies. Recent Work Trends: Recent publications emphasize tumor evolution modeling, matrix mechanics in drug resistance, and AI applications in histopathology. Collaborations with hospitals in Turkey and Europe support PDO biobank initiatives. His team explores evolutionary steering strategies to exploit collateral drug sensitivities. Labs/Teams: Precision Medicine and Drug Resistance Lab at METU focuses on interdisciplinary approaches combining wet-lab experiments with computational methods. Current projects include ex vivo tumor modeling and AI-driven diagnostic tools for oncology.

Canan ATILGANمشاهده پروفایل

استاد

• Biophysics
• Structural Biology
• Computational Biology
• +۳ مورد دیگر

Canan ATILGAN is a Professor at the Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey. She has held leadership roles including Dean (2018-2020), Director of the Graduate School (2018-2020), and President of the Science Academy (2021-present). Her research focuses on computational tools for protein conformational transitions, allosteric communication, and antibiotic resistance mechanisms. Ph.D. (1996) and B.S. (1991) in Chemical Engineering from Boğaziçi University A pioneer in perturbation-response scanning and network-based protein modeling, her work bridges biophysics, structural biology, and molecular evolution. She has supervised 15 PhD and 17 MS students, emphasizing accessible computational biophysics education through workshops and seminars. Her recent publications highlight allosteric mechanisms in biosensors, β-lactam resistance via TolC dynamics, and evolutionary fitness landscapes. Awards include EMBO and Academia Europaea membership, L’Oréal Turkey Young Women Scientist Fellowship, and TÜBA-GEBİP Distinguished Young Scientist Award. President, Science Academy (2021) EMBO Elected Member (2023) TÜBA-GEBİP Distinguished Young Scientist (2004) She leads the MIDST Lab, contributes to Turkish science communication via sarkac.org, and organizes 'Dialogues in the MIDST' workshops for graduate students. Her work integrates theoretical models with experimental validation in iron transport proteins and resistance mechanisms.

Osman Kaan Erolمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Heuristic and Metaheuristic Methods
• Control Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Osman Kaan Erol is affiliated with Istanbul Technical University , where he serves in the Department of Control and Automation Engineering . His primary research focuses on optimization algorithms and their applications in engineering systems. Doctorate in Control and Computer Engineering Teaching and research at Istanbul Technical University since 2003 Industry experience at BEKO Electronics (2000-2003) and ABC CEDETAŞ (1995-2000) Research Interests include: Big Bang-Big Crunch optimization algorithm Differential Evolution methods Heuristic and metaheuristic approaches Applications in structural engineering, control systems, and transportation Search space reduction techniques Hybrid algorithm design Publication Trends show a consistent focus on optimization algorithms ( Big Bang-Big Crunch , Differential Evolution ), with applications spanning airport operations , structural design , and preventive control . His work emphasizes algorithm hybridization and convergence improvements. Project Leadership includes: Industrial data collection systems AI-assisted service systems for concrete plants Hydrophore control systems under ERP regulations Electrically heated underwear design

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

Tayfun Günelمشاهده پروفایل

استاد

• Microwave Circuits
• Radar Systems
• Antennas
• +۱۲ مورد دیگر

Tayfun Günel is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU) , Faculty of Electrical and Electronics Engineering. He holds a PhD (1993), MSc (1988), and BSc (1986), all from ITU. His research spans microwave circuits, radar systems, antennas, and optimization using genetic algorithms and soft computing. His research interests include Microwave Circuits , Radar and Antennas , Optimization , and Genetic Algorithms . His work focuses on impedance matching, microstrip antennas, noise modeling, and metamaterial-based microwave components. He has taught courses such as Electromagnetic Fields, Radar Systems, and Satellite Communication Systems. The recent publications reflect a strong trend in microwave circuit design , antenna miniaturization , and the application of evolutionary algorithms (genetic algorithms, PSO) and machine learning (neural networks, SVR) in electromagnetic design and optimization. There is a consistent focus on practical microwave components like transmission lines, patches, and amplifiers, often using nanomaterials (e.g., carbon nanotubes) and metamaterials . His work bridges theoretical modeling with computational optimization for real-world RF and radar applications. Email: gunelmur@itu.edu.tr Professor Günel has supervised 2 completed PhD theses, 2 ongoing PhD theses, 23 completed master's theses, and 1 ongoing master's thesis, demonstrating a significant contribution to student mentoring. There are no specific grants or funding sources mentioned in the provided text. He is affiliated with research in microwave systems and antenna design , likely operating within the broader research ecosystem of the Electronics and Communication Engineering Department at ITU, which includes labs such as the Microwave Systems and Antennas Laboratory and the Radar and Microwave Technologies Research Laboratory.

• Bioinformatics
• Computational Biology
• Protein Informatics
• +۳ مورد دیگر

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.

• Computer Architecture
• Parallel Algorithms
• Optimization
• +۴ مورد دیگر

Betül Boz is an Assistant Professor at the Department of Computer Hardware, Faculty of Engineering, Marmara University. She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University, and a Ph.D. in Computer Engineering from Boğaziçi University. Her research focuses on computer architecture, optimization, and evolutionary computing. B.Sc., M.Sc., and Ph.D. in Computer Engineering Her research interests include computer architecture, parallel algorithms, optimization techniques, and evolutionary algorithms applied to graph coloring and scheduling. Recent work explores cloud computing scheduling, register allocation, and bioinformatics applications like circRNA-disease prediction. She has published extensively in these areas, utilizing evolutionary computing and machine learning. Key trends in her publications include evolutionary algorithms for graph coloring (2015–2025), register allocation (2004–2024), and cloud computing optimization (2023). She also investigates biomedical applications such as circRNA-disease association prediction. She has advised one thesis, managed one project, and her work aligns with UN Sustainable Development Goals. Her research outputs include 14 WoS-indexed publications, 11 WoS citations, and an h-index of 25 on WoS.

• Computational Design
• Digital Fabrication
• Bio-Based Materials
• +۷ مورد دیگر

Dr. Gözde Damla Turhan is a Researcher at the Department of Architecture within the Faculty of Fine Arts and Design at İzmir University of Economics, a position she has held since September 2017. She holds a B.Sc. in Architecture from İzmir Ekonomi Üniversitesi (2014), followed by dual Master's degrees: M.Arch in Advanced Architectural Design (2016) and M.Sc. in Architecture (2016). Her Ph.D. in Design Studies (2022) focused on biobased materials, computational design, and digital fabrication. Current research interests include AI applications in design (machine learning, diffusion models, LLMs), and sustainable material innovation. Her work bridges architecture and computational technologies, emphasizing bio-based materials (e.g., bacterial cellulose), digital fabrication methods, and AI-driven design processes. She has explored topics like urban rehabilitation via GANs, NFT art hybrid experiences, and life cycle assessments of unconventional construction materials. Publications (2016–2023) span computational form-finding, material science, and digital tools in architecture. She actively contributes to design pedagogy, investigating how AI tools like diffusion models can reshape educational frameworks.

• Power Systems
• Smart Grids
• Transient Stability
• +۷ مورد دیگر

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

• Computational Materials Science
• Quantum Transport at Nanoscale
• Spintronics
• +۳ مورد دیگر

Ramazan Tuğrul SENGER is a Professor in the Department of Physics at İzmir Ekonomi Üniversitesi since February 2024. Previously, he held administrative roles at İzmir Yüksek Teknoloji Enstitüsü (IYTE) as Dean of the Graduate School of Natural and Applied Sciences, a member of the Senate, and Head of the Physics Department. He earned his Ph.D. (2000), M.Sc. (1996), and B.Sc. (1994) in Physics from Bilkent University. Education : Bilkent University (Ph.D., M.Sc., B.Sc.) Past Positions : Bilkent University (Researcher, Lecturer), Emory University (Postdoctoral Researcher), TÜBİTAK-UEKAE (Expert Researcher), IYTE (Assistant Professor → Associate Professor → Professor) His research focuses on computational materials science , particularly quantum transport phenomena and spintronics in low-dimensional systems. He has extensively studied thermoelectric properties of nanostructured materials and excitonic behavior in halide perovskites . His recent publications highlight advancements in perovskite microribbons (exciton mobility), strain-engineered 2D magnets (α-RuCl3), and thermoelectric performance of transition metal dichalcogenides. These works employ first-principles calculations and evolutionary algorithms for material optimization. Scientific Awards : TÜBA GEBİP Award (2006) FABED Young Scientist Award (2009) ODTÜ Mustafa N. Parlar Foundation Research Incentive Award (2010) Fulbright Fellowship (2019-2020) He has supervised PhD theses on topics like "Thermoelectric Properties of Nanoscale 2D Materials" and "Polaronic Excitons in 2D Structures." His work has been supported by grants from TÜBİTAK, DPT, and international institutions.

BÜLENT HAZNEDARمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +۵ مورد دیگر

Bülent Haznedar is an Associate Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, a position he has held since 2024. Previously, he served as Doctor Lecturer at Gaziantep University (2021-2024) and held academic positions at Hasan Kalyoncu University (2013-2021) and Erciyes University (2011-2013), where he progressed from Lecturer to Department Head. His educational qualifications include: Doctorate in Computer Engineering from Erciyes University (2011-2017) Master's degree in Computer Engineering from Erciyes University (2007-2010, with thesis) Licence degree in Computer Engineering from Erciyes University (2003-2007) Dr. Haznedar's research centers on Artificial Intelligence and Machine Learning applications, with significant contributions in hydrological modeling (streamflow forecasting using hybrid ANFIS algorithms), renewable energy (solar radiation optimization), medical diagnostics (thyroid nodule classification and cancer detection), and cultural heritage informatics (3D point cloud segmentation for historical buildings). His work consistently integrates fuzzy logic systems with metaheuristic optimization techniques to solve complex prediction problems. Analysis of his 29 journal articles (2016-2024) reveals a dominant focus on Adaptive Neuro-Fuzzy Inference Systems enhanced by evolutionary algorithms (PSO, GA, ABC) across hydrology and medical domains, with recent expansion into sustainable energy and heritage preservation. His publications show increasing interdisciplinary collaboration, particularly in TUBITAK-funded projects. His scientific recognition includes: TUBITAK Publication Encouragement Awards (2018, 2023) TUBITAK PhD Scholarship (2011) TUBITAK Master's Scholarship (2008) Dr. Haznedar has supervised eight master's theses on AI applications in streamflow forecasting, energy prediction, cancer classification, and heritage modeling. His research is supported by seven projects, most notably the TUBITAK 1001 project (2019-2023) developing Heritage Building Information Modeling for Turkey's cultural heritage restoration. He also contributed to TUBITAK's Digital Prosthesis Workshop initiative. While specific laboratory affiliations aren't detailed, his leadership in the TUBITAK cultural heritage project indicates active collaboration with multidisciplinary teams spanning engineering, computer science, and heritage conservation disciplines.

Okan Topçuمشاهده پروفایل

استاد

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +۹ مورد دیگر

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

• Wearable and Implantable Antennas
• RF Sensing
• Dielectric Spectroscopy
• +۶ مورد دیگر

Dr. Tuba Yılmaz Abdolsaheb is an Associate Professor in the Electronics and Communication Engineering Department at Istanbul Technical University (ITU), with a Marie Sklodowska Curie Research Fellowship. She specializes in microwave imaging, biomedical engineering, and medical device development, particularly in applications like breast cancer diagnosis and hyperthermia treatment. Her research focuses on wearable/implantable antennas, dielectric spectroscopy, and energy harvesting technologies. Education: PhD (Queen Mary University of London, 2013), MSc (Mississippi State University, 2009), BSc (Istanbul Technical University, 2007). Research Interests: Wearable/Implantable Antennas, RF Sensing, Dielectric Spectroscopy, Microwave Tomography, Wireless Power Transfer. Her work bridges engineering and medicine, addressing challenges in non-invasive diagnostics and therapeutic technologies. Notable Projects: Principal Investigator for TUBITAK-funded projects (e.g., microwave imaging for breast cancer, hyperthermia systems) and a Marie Curie grant (MIDxPRO). Collaborates on biomedical device development, including portable hyperthermia devices and tissue characterization systems. Awards: URSI Young Scientist Award (2017), Marie Curie Fellowship (2016), and multiple travel/poster awards recognizing her contributions to antenna design and biomedical applications. Lab/Teams: Engaged in ITU’s Medical Devices Research Group, contributing to interdisciplinary projects in bioelectromagnetics and clinical engineering.

• Chaos control
• Modelling of nonlinear dynamic systems
• Modelling of biological systems
• +۳ مورد دیگر

Yağmur Denizhan is a full-time Professor at Boğaziçi University. Their research focuses on chaos control, nonlinear dynamic systems modeling, and biological systems analysis. Key interests include renal sympathetic nerve activity modeling, stochastic processes, and optimization algorithms. Research highlights include long-term mathematical models of renal function and arterial pressure dynamics, as well as advancements in Particle Swarm Optimization (PSO) algorithms. Their work bridges chaos theory, computational methods, and biomedical engineering. Notable contributions include studies on targeting methodologies in chaotic systems and interdisciplinary explorations of semiotics combined with thermodynamics. Recent publications (2010-2013) emphasize real-time object recognition systems and evolutionary modeling frameworks. No scientific awards or grants are listed in the provided information. No student advisees are explicitly mentioned.

• Electrical Energy and Power Systems
• Artificial Intelligence
• Electrical Facilities

Dr. Cenk Andiç is a Research Assistant at Istanbul Technical University's Department of Electrical Engineering. His work bridges Electrical Energy and Power Systems with Artificial Intelligence , focusing on optimization techniques for energy management and control systems. PhD in Electrical and Electronics Engineering (Düzce University) Integrated PhD program completion in 2024 Key research areas include: Automatic Voltage Regulation Load Frequency Control Dynamic Economic Load Dispatch Energy Optimization in Transportation Renewable Energy Integration Metaheuristic Optimization Algorithms Recent publications demonstrate a trend toward bio-inspired algorithms like Mountain Gazelle Optimizer , Puma Optimizer , and Sea Horse Optimizer for power system stability and renewable integration challenges. His work spans theoretical control systems to practical implementations in photovoltaic-thermal hybrid systems and data centres. Scientific recognition includes: 2023 Publication Award (Istanbul Technical University) 2024 Best Paper Award 2023 Cenk Andic Prize YÖK 100/2000 Scholarship He actively participates in international collaborations and serves as Principal Investigator for the 2025 project Improving Load Frequency Control in Interconnected Power Systems with Sled Dog Optimization Algorithm . Contact: andic18@itu.edu.tr