جستجوی استاد راهنمای دانشگاهی

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.

• Welding Technologies
• Metallic Materials
• Material Processing and Design Technologies-Additive Manufacturing

Dr. Yusuf AYAN is a Lecturer in the Department of Mechatronics Engineering at Karabük University's Faculty of Technology, Turkey, since 2022. He holds a PhD (2022) and Master's degree (2017) in Manufacturing Engineering from Karabük University, alongside a BSc (2012) in Mechanical Engineering from Kocaeli University. Education: PhD, Manufacturing Engineering, Karabük University (2022) MSc, Manufacturing Engineering, Karabük University (2017) BSc, Mechanical Engineering, Kocaeli University (2012) His research focuses on Welding Technologies , Metallic Materials , and Additive Manufacturing , with over 103 citations and an h-index of 5. Notable projects include TÜBA/TÜBİTAK-funded research on wire arc additive manufacturing (2023-2025) and functionally graded material development (2020-2024). His publications span journals like Materials Chemistry and Physics , Journal of Materials Engineering and Performance , and Materials Today Communications , emphasizing WAAM process optimization, fatigue properties, and multi-material fabrication. Collaborators include Nizamettin Kahraman (24 joint works, 2018-2024) and researchers such as Kenan Kaan Yetil and Ercan Çağlar.

Ali Yaparمشاهده پروفایل

استاد

• Electromagnetics
• Microwave Engineering
• Antenna Technologies
• +۳ مورد دیگر

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.

• Public Administration
• Strategic Planning
• Local Governance
• +۶ مورد دیگر

Bayram Coşkun is a full Professor at Muğla Sıtkı Koçman University's Faculty of Economics And Administrative Sciences, Department of Public Administration. He has been teaching since 1986 and holds a doctorate from Ankara University (2003). His career spans over 30 years in academic research, education, and administration. Bachelor's: Dokuz Eylül University, Faculty of Economics and Administrative Sciences, Business Administration (1986) Master's: Dokuz Eylül University, Institute of Social Sciences, Public Administration (1995) Doctorate: Ankara University, Institute of Social Sciences, Management Sciences (2003) Coşkun's research focuses on strategic public management , digital transformation in governance , local administration reforms , environmental policy , and cultural heritage preservation . His work analyzes institutional changes, administrative ethics, and policy impacts across Turkish municipalities, with comparative studies on European systems. His recent publications examine artificial intelligence applications in education , presidential government reforms , and sustainability in municipal planning . He has contributed to 15+ journal articles and 10+ book chapters on these themes. Örsan Öymen 3rd Prize (2001) Mention Award for Total Quality Management in Local Administrations (1998) Coşkun has supervised 13+ graduate theses and participated in TÜBİTAK projects on digital maturity in municipalities. His editorial roles include journal editorships for Ombudsman Akademik and Elektronik Sosyal Bilimler Dergisi .

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

Emre Seferمشاهده پروفایل

دانشیار

• Bioinformatics
• Machine Learning
• Financial Networks
• +۳ مورد دیگر

Dr. Emre Sefer is an Associate Professor at the Faculty of Engineering, Özyeğin University, specializing in machine learning and bioinformatics. He holds a Ph.D. in Computational Biology from Carnegie Mellon University (2015), an M.S. in Computer Science from University of Maryland College Park (2011), and a B.S. in Computer Engineering from Boğaziçi University (2008). His research bridges graph machine learning with financial networks, bioinformatics, and data engineering. Ph.D.: Computational Biology, Carnegie Mellon University M.S.: Computer Science, University of Maryland College Park B.S.: Computer Engineering, Boğaziçi University Research focuses on applying machine learning to financial and biological networks: Bioinformatics : 3D genome modeling, protein modifications, transcriptomic analysis Graph Machine Learning : GNNs for fraud detection, drug response prediction, and network evolution Financial Networks : Cryptocurrency investment strategies, asset price prediction His lab (OzU Machine Learning in Finance and Bioinformatics Lab) develops graph-based deep learning methods for cross-domain applications, including NFT market analysis and chromatin structure prediction. He received the Best research paper award at Recomb 2016 for work on 3D genome architecture. Former postdoc at CMU Machine Learning Department Industry experience as Quantitative Strategist at Goldman Sachs and JPMorgan

• Earthquake Engineering
• Structural Dynamics
• Pipeline Seismic Response
• +۳ مورد دیگر

Prof. Muhittin Eren Uçkan is a Professor in the Department of Civil Engineering at Rafet Kayış Faculty of Engineering. His work focuses on earthquake engineering, structural dynamics, and seismic performance of infrastructure systems. Education: MS in Civil Engineering (1987) from Middle East Technical University, PhD in Earthquake Engineering (1994) from Boğaziçi University Key Research Areas: Seismic response of pipelines, soil-structure interaction, base isolation systems, and infrastructure resilience His recent publications analyze post-earthquake performance of transmission pipelines (2024 Kahramanmaras), liquid storage tanks (2023), and buried steel pipes (2016–2019). Studies emphasize fault crossing effects , sloshing damping , and seismic risk frameworks . Administrative roles include Vice Dean at Gebze Institute of High Technology (1998), Head of Department (1995–1998), and Commission Presidency at Alanya Aladdin Keykubat University (2020).

Ahmet Şensoyمشاهده پروفایل

دانشیار

• Asset Pricing
• Market Microstructure
• Sustainability
• +۳ مورد دیگر

Associate Professor Ahmet Şensoy specializes in Finance at Bilkent University's Faculty of Business Administration. He holds a PhD in Mathematics from Bilkent (2013) and has professional experience at Borsa Istanbul's Research and Business Development Department (2012–2017), with visiting research stints at Nasdaq OMX (2014–2015). His research focuses on Asset Pricing, Market Microstructure, Sustainability, and Corporate Finance. He has received the TÜBİTAK Incentive Award (2018) and TÜBA Young Scientist Award (2020). He serves as an associate editor for journals like International Review of Financial Analysis and a guest editor for Annals of Operations Research . His teaching includes Advanced Empirical Finance and Risk Management. Research Interests: - Asset Pricing Mechanisms - Cryptocurrency Market Dynamics - ESG Integration in Corporate Strategy - Behavioral Finance and Investor Behavior - Regulatory Impact on Corporate Productivity Publications highlight interdisciplinary themes such as pandemic economics (Production and Operations Management), green credit policies (Technological Forecasting and Social Change), and cryptocurrency market structures (Journal of Financial Research). His work bridges theoretical finance with real-world applications in emerging markets and sustainability. Editorial Roles: International Review of Financial Analysis International Review of Economics and Finance Research in International Business and Finance Emerging Markets Finance and Trade Grants and Advising: While specific grants aren't listed, his extensive publication record across top-tier journals indicates substantial research engagement. He collaborates with institutions like the TÜBİTAK and TÜBA.

Vakur B. Erturkمشاهده پروفایل

استاد

• Computational Electromagnetics
• Antenna Engineering
• Structural Health Monitoring
• +۵ مورد دیگر

Professor Vakur B. Erturk is a distinguished faculty member in the Department of Electrical and Electronics Engineering at Bilkent University's Faculty of Engineering. With a PhD from The Ohio-State University (2000), his academic journey spans over two decades of impactful research and teaching. His research focuses on advanced computational electromagnetics, specializing in closed-form Green's function representations, conformal antenna design, structural health monitoring systems, and metamaterial applications. His work bridges theoretical electromagnetics with practical engineering solutions, particularly in wireless sensing and high-frequency electromagnetic analysis. Professor Erturk's publication record demonstrates consistent innovation, with recent work emphasizing efficient computational methods like the multilevel fast multipole algorithm (MLFMA) for multiscale electromagnetic problems. His research shows strong continuity in antenna theory while expanding into metamaterial-inspired sensors and structural monitoring systems. Best master thesis award (1996) He actively mentors graduate students, with over 30 PhD and MSc graduates who have contributed significantly to fields including computational electromagnetics, antenna design, and wireless sensor development. His research group maintains strong collaborations with institutions like Middle East Technical University and researchers in metamaterials and structural health monitoring. Professor Erturk teaches core courses including Microwave Engineering, Antenna Engineering, and Computational Methods in Electromagnetics, shaping the next generation of electrical engineers through rigorous theoretical and practical instruction.

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.

Gökhan Kiperمشاهده پروفایل

استاد

• Mechanism Science
• Machine Design
• Deployable Structures
• +۱ مورد دیگر

Prof. Dr. Gökhan Kiper is a faculty member in the Department of Mechanical Engineering at Izmir Institute of Technology , Turkey. His research focuses on Mechanism Science , Machine Design , and Deployable Structures , with particular emphasis on Polyhedral Geometry applications. Teaches courses: ME332 (Mechanisms), ME402 (Machine Design), ME577 (Advanced Mechanism Design) Active in IFToMM (International Federation for the Promotion of Mechanism and Machine Science), including roles in the Technical Committee for Computational Kinematics and the Turkey Branch (MakTeD) Co-organized the IFToMM Summer School on Mechanism Design for Medical Applications (2018) Research interests span kinematic synthesis of mechanisms, deployable architectural structures, and medical robotics. Key projects include a rollable ramp for temporary use, finger exoskeletons for rehabilitation, and remote-center-of-motion manipulators for minimally invasive surgery. His work integrates theoretical analysis with practical prototyping, reflected in publications across robotics, structural mechanics, and geometric design. Affiliates with the Rasim Alizade Mechatronics Laboratory (RAML) and the IzTech Kinetic Designs in Architecture Group . Presented at international conferences like International Symposium of Mechanism and Machine Science (ISMMS-2017) in Baku, Azerbaijan, where he chaired sessions on mechanism kinematics.

• Pharmaceutical Chemistry
• Computational Drug Design
• Anticancer Agents
• +۲ مورد دیگر

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).

• Algorithms
• Computational Geometry
• Wireless Sensor Networks
• +۱ مورد دیگر

Professor Cem Evrendilek is a faculty member in the Department of Computer Engineering at Izmir University of Economics, Turkey, holding the rank of Professor with current active status. His institutional email is cem.evrendilek@ieu.edu.tr. His research spans algorithmic complexity and geometric computation, with primary focus areas including: Computational Geometry (specializing in orthogonal polygon covering problems) Wireless Sensor Network Localization (energy-efficient methods and trilateration) NP-hard Problem Analysis (proving complexity for geometric and network problems) Approximation Algorithms for combinatorial optimization Analysis of his 2008-2018 publications reveals consistent work on geometric covering problems and sensor network localization. Key trends include proving NP-completeness for orthogonal polygon covering variants, developing energy-efficient mobile beacon localization techniques, and analyzing trilateration with noisy measurements. His work frequently intersects computational geometry with practical wireless network applications, demonstrating strong theoretical foundations applied to real-world constraints. Collaborative patterns show frequent co-authorship with Hüseyin Akcan (on localization algorithms), Burkay Genç, and Brahim Hnich (on computational geometry problems).

Ali Kılıçمشاهده پروفایل

دانشیار

• Nanofiber Materials
• Air Filtration Technology
• Composite Materials
• +۳ مورد دیگر

Ali Kılıç is an Associate Professor at the Department of Textile Engineering, Istanbul Technical University. His research focuses on nanofiber materials, air filtration technologies, and composite materials. He leads multiple projects on high-performance air filters, wound dressings, and sustainable materials. Key research areas include solution-blown nanofibers, biodegradable composites, and electrostatic filtration mechanisms. Education: Unspecified in available texts. Research Interests: Nanofiber fabrication, polymer composites, biomaterials, and sustainable filtration systems. Recent work emphasizes enhancing filtration efficiency through layered nanofiber structures and developing eco-friendly materials. His team has produced innovative solutions for aerosol filtration, biomedical scaffolds, and energy storage applications. Projects (Selected): Cellofil: Cellulose-based air filters (TUBITAK-funded). Bionanofiber Gun for wound dressings (TUSEB-funded). Optimization of nanofiber wound dressings (BAP-funded). Awards: Received prizes including ITU Publication Incentive (2023), Newton Katip Çelebi Fund (2015), and 3rd Furniture R&D Project Competition (2015). Lab/Labs: Active in nanofiber production and characterization labs at ITU, focusing on textiles and material innovation.

Engin Yenerمشاهده پروفایل

استاد

• Geopolymer Materials
• Concrete Durability
• Asphalt Technology
• +۳ مورد دیگر

Engin Yener is a Professor at the Department of Civil Engineering, Faculty of Engineering, Iğdır University. His academic career includes roles such as Department Head and Dean's Assistant at both Iğdır University and Bayburt University. He holds a PhD from Atatürk University (2010) in Civil Engineering with a thesis on asphalt mixture workability, and earlier degrees in Civil Engineering from the same institution. Education: PhD: Atatürk University (2004–2010), Thesis: 'A New Workability Method for Asphalt Mixtures' MSc: Atatürk University (2000–2004), Thesis: 'Durability Study of Fly Ash and Silica Fume-Added Road Concrete' BSc: Atatürk University (1996–2000), Thesis: 22222 Research Interests: Focuses on geopolymer materials, concrete durability, asphalt binder properties, and sustainable construction materials. His work includes optimizing pumice-based geopolymers, evaluating freeze-thaw damage mechanisms in pavements, and improving asphalt mixture performance through aggregate analysis. Grants & Projects: Leads research projects on geopolymers for transportation infrastructure and alternative cement binders. Recent projects include 'Development of Geopolymer Concrete for Water Structures' (2021) and 'Use of Perlite in Acid-Resistant Concrete' (2019). Courses Taught: Special Topics in Civil Engineering, Advanced Pavement Technology, Asphalt Materials, and Transportation Engineering fundamentals at both undergraduate and graduate levels.