جست‌وجوی استاد و پژوهشگر

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.

Hande Alemdarمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Big Data Analytics
• +۶ مورد دیگر

Hande Alemdar is an Assistant Professor at the Department of Computer Engineering, Middle East Technical University, specializing in machine learning, data science, and big data analytics. She earned her BSc, MSc, and PhD in Computer Engineering from Boğaziçi University in 2004, 2009, and 2015, respectively, with her PhD thesis awarded the Bogazici University Research Fund (BAP) Best Thesis Award. PhD in Computer Engineering (2015), Boğaziçi University MSc in Computer Engineering (2009), Boğaziçi University BSc in Computer Engineering (2004), Boğaziçi University Her research focuses on applying machine learning to resource-efficient hardware, wireless sensor networks, and smart environments. She has pioneered work on ternary neural networks for FPGA-based AI, which reduce computational costs while maintaining accuracy. Her work spans diverse applications like activity recognition, fall detection, and sports analytics. Her recent publications reflect trends in deep learning for hardware efficiency, smart healthcare via ambient sensors, and network security with machine learning. These studies often integrate multi-modal sensor fusion and real-time data analysis , emphasizing deployability in resource-constrained scenarios. Scientific Awards Bogazici University BAP Best Thesis Award Hande has collaborated with Grenoble Informatics Institute and industry leaders like ST Microelectronics on energy-efficient AI. Her work has been published in journals and conferences such as Sensors, Computers & Graphics, and FPL, addressing topics from elite football performance analysis to covert channel detection in SDN. She leads research in scalable architectures for smart environments and is involved in the H2020 FET Project 'ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems', demonstrating her commitment to interdisciplinary AI applications.

Elvin Çobanمشاهده پروفایل

دانشیار

• Healthcare and Humanitarian Operations
• Optimization
• Service Systems
• +۳ مورد دیگر

Elvin Çoban serves as Associate Professor and Chair of the Industrial Engineering Department within Ozyegin University's Faculty of Engineering, specializing in optimization applications for healthcare systems, humanitarian logistics, and service operations. Her research bridges theoretical operations research with real-world implementation in critical infrastructure domains. Education Background: PhD in Operations Management and Manufacturing, Carnegie Mellon University (2012) MS in Operations Management and Manufacturing, Carnegie Mellon University (2010) MS in Industrial Engineering, Sabanci University (2008) BS in Manufacturing Systems Engineering, Sabanci University (2006) Dr. Çoban's research program focuses on developing mathematical models for complex decision-making under uncertainty, with significant contributions to disaster response logistics using drone technology and healthcare operations management. Her work integrates machine learning with combinatorial optimization to solve scheduling problems in medical facilities and vaccine distribution networks, while also exploring energy systems through electric vehicle charging infrastructure modeling. Current projects emphasize predictive analytics for post-disaster damage assessment and resource allocation during pandemics. Analysis of her 15 most recent publications (2019-2024) reveals three dominant research thrusts: (1) humanitarian logistics (35% of output), particularly drone routing for disaster assessment; (2) healthcare operations (50%), including operating room scheduling and vaccine distribution; and (3) energy systems (15%), focused on electric vehicle infrastructure optimization. Methodologically, her work combines stochastic programming, metaheuristics, and machine learning to address data-scarce environments. Research Funding and Advisory: Principal Investigator for TUBITAK 1001 project (2021-2024): Information Gathering and Damage Prediction for Post-Disaster Drone Assessment Researcher for TUBITAK 3501 project (2013-2016): Blood Supply Chain Optimization Consultant for TEA Networks (2018-2021) and TUBITAK 1507 workforce management project (2014-2016) Advises three graduate students: Kian Farajkhah (PhD candidate), Birce Adsanver (MSc 2020), and Gulsah Alper (MSc 2015) on optimization applications in disaster response and healthcare She leads an active research group at Ozyegin University that collaborates with government agencies and industry partners on projects involving real-time decision support systems. Current initiatives focus on integrating real-world constraints into optimization models for medical logistics and developing scalable algorithms for drone-based disaster assessment networks, with ongoing recruitment for TUBITAK-funded humanitarian logistics research positions.

Kami Emirhanمشاهده پروفایل

استادیار

• Textile Design
• Fashion Design
• Printing Arts
• +۳ مورد دیگر

Dr. Kami Emirhan serves as an Assistant Professor in the Department of Textile and Fashion Design within Yeditepe University's Faculty of Fine Arts, a position she has held since 2015 after previously working as a Research Assistant at the same institution from 2002 to 2005. Her academic foundation spans textile engineering, fashion sociology, and artistic practice with emphasis on innovative material applications and critical gender analysis in clothing. Her educational trajectory includes: Proficiency in Arts (2005-2014) from Mimar Sinan Fine Arts University, thesis: "The Influence of Feminine, Androgyn, Homosocial and Homoerotic Elements in Today's Men's Clothing and Men's Image by Social Developments Beginning in the 1960s" Master's Degree (2002-2005) from Mimar Sinan Fine Arts University, thesis: "Usage Areas of Optical Fiber in Textiles" Undergraduate Degree (1998-2002) from Yeditepe University in Fashion and Textile Design Dr. Emirhan's research critically examines intersections between material innovation and sociocultural dynamics in fashion. Her work spans technical textile engineering (notably optical fiber integration), printing arts methodology, and gender deconstruction in clothing systems. She investigates how historical shifts in social structures manifest through men's fashion evolution, challenging binary gender norms through contemporary design practices while documenting homoerotic representation in luxury branding. Her publication timeline reveals a deliberate shift from material science (2005 optical fiber studies) toward sociological fashion critique (2013-2019 gender neutrality research), paralleled by foundational contributions to art education through children's creative methodology texts. Recent scholarship focuses on dismantling gendered clothing conventions while maintaining strong connections to textile pattern theory and printing techniques. Dr. Emirhan has supervised Master's research including BİKE's 2019 thesis on visual art's impact on artist recognition through clothing applications. Her administrative leadership includes Department Vice Chair (2016), Quality Committee membership (2017), and coordination of Erasmus/Bologna programs since 2002. Teaching responsibilities encompass advanced courses in textile printing, graduation projects, and gender studies in men's fashion. Active in international artistic networks, she participates in exhibitions like Pera Museum's "YÜZLEŞME / CONFRONTATION" and the "1st International Triennial of Textile Arts," while curating departmental showcases such as Yeditepe University's "KAT KAT" group exhibition with colleagues.

Fulya Gökalp Yavuzمشاهده پروفایل

دانشیار

• Statistical Theory and Applications
• Linear Mixed Models
• Parallel Programming
• +۶ مورد دیگر

Assoc. Prof. Fulya Gökalp Yavuz is a faculty member at the Department of Statistics within the College of Science at Middle East Technical University (METU), Ankara, Turkey. Her academic career spans roles as a Research Assistant at Yildiz Technical University (2010-2019), Statistical Consultant at Purdue University (2008-2009), and Post-Doc Researcher in Statistics at Purdue University (2016-2017). Education: PhD in Statistics (Yildiz Technical University, 2015), M.S. in Statistics (Purdue University, 2010), B.S. in Statistics (Hacettepe University, 2006) Her research focuses intersect statistical theory and computational methods, including Linear Mixed Models, Robust Distributions, Parallel Programming, and Machine Learning. She also contributes to statistical applications in big data, cognitive neuroscience, and environmental science, with a strong emphasis on R programming and reproducible research practices. Her recent publications highlight advancements in parallel computing for kernel regression, hybrid modeling of neuroimaging data, and robust estimation techniques in multivariate regression. These works align with keywords in statistical computing, neuroscience, and data science. Scientific Awards: International Post Doctoral Research Fellowship (TUBITAK), Best Presentation awards at ICS 2017 and IC-SMHD-2016, Course Honorarium at ASA 2018 She actively engages in academic leadership as Project Coordinator for METU's Data Science Ecosystem (2019-2021) and collaborates on TUBITAK-funded research, including pandemic data modeling and cultural heritage regeneration projects.

• Applied Optimization
• Metaheuristic Approaches
• Transportation and Logistics Systems
• +۵ مورد دیگر

Mahir Yıldırım is an Assistant Professor in the Department of Industrial Engineering at the Faculty of Engineering and Natural Sciences, Istanbul Bilgi University. He holds a PhD in Industrial Engineering from Sabancı University and has held postdoctoral positions at Eindhoven University of Technology and Sabancı University. He currently serves as Vice Head of the Department of Industrial Engineering and previously served as Vice Dean of the Faculty of Engineering and Natural Sciences (2018–2019). Education: PhD, Industrial Engineering, Sabancı University, 2014 MS, Industrial Engineering, Sabancı University, 2008 BS, Industrial Engineering, Istanbul Technical University, 2006 Postdoctoral Researcher, Eindhoven University of Technology, 2015–2016 Postdoctoral Researcher, Sabancı University, 2014–2015 His research focuses on applied optimization , metaheuristic algorithms , and transportation and logistics systems . He develops advanced computational methods for vehicle routing, bin packing, and time-dependent network optimization, with applications in sustainable logistics and industrial automation. His work bridges theoretical algorithm design and real-world implementation in intelligent transportation and production systems. The recent publications show a strong trend in hybrid optimization techniques , combining metaheuristics like ant colony optimization with mathematical programming (matheuristics), applied to complex logistics problems. His work increasingly integrates real-time data and network dynamics, particularly in transportation systems, while maintaining a focus on multi-objective and sustainable design. Scientific Awards and Honors: TÜBİTAK 2219 Postdoctoral Fellowship (2015–2016) TÜBİTAK 2214-A Doctoral Research Fellowship (2014) Sabancı University Faculty of Engineering Excellence in Teaching Award (2012–2013) Sabancı University Full Doctoral Scholarship (2009–2014) TÜBİTAK 2209 Master’s Fellowship (2006–2008) Sabancı University Full Master’s Scholarship (2006–2008) Dr. Yıldırım has advised both PhD and MSc students, contributing to academic development in optimization and logistics. His research has been supported by national grants from TÜBİTAK and institutional scholarships. He actively contributes to academic service through administrative roles and curriculum development in industrial engineering education. He teaches courses such as Metaheuristic Approaches in Optimization, Facilities Design and Planning, and Production Systems, aligning closely with his research expertise. While no formal lab is mentioned, his collaborative work with researchers like Bülent Çatay and Vildan Özkır suggests strong research team involvement in optimization and logistics projects.

Okan Örsan Özenerمشاهده پروفایل

استاد

• Combinatorial Optimization
• Data Science
• Machine Learning
• +۴ مورد دیگر

Prof. Dr. Okan Örsan Özener is a Professor in the Department of Industrial Engineering at Özyeğin University, where he currently serves as Dean of the Faculty of Engineering and Director of the Graduate School of Science and Engineering. Previously, he was Head of the Industrial Engineering Department (2012-2022) and Vice Dean of Engineering (2022-2024). He holds a BS and MS in Industrial Engineering from Middle East Technical University, and an MS in Operations Research and PhD in Industrial and Systems Engineering from Georgia Institute of Technology. His research focuses on combinatorial optimization, data-driven decision-making, and applications in supply chain systems. Key areas include: Integer programming and combinatorial optimization Machine learning applications in operations Cooperative/non-cooperative game theory Transportation and logistics network design Inventory control systems Healthcare and humanitarian logistics His publications demonstrate strong focus on practical optimization applications across logistics, healthcare, manufacturing, and software systems, with recent emphasis on sustainable logistics and machine learning integration. Honors include: Most outstanding faculty member of the University (2014) University-wide Teaching Excellence Award (2016) He actively advises graduate students and leads major research initiatives: Supervises 5 PhD and 3 MSc students in optimization and machine learning Principal Investigator for TUBITAK grants on crew planning, blood supply management, and game theory applications Industry collaborations with DHL, Turkish Airlines, and Vestel Electronics He directs research in logistics and optimization, recruiting students for projects in city logistics and ML applications.

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).

Feza Buzlucaمشاهده پروفایل

دانشیار

• Computer Software
• Computer and Communication Networks
• Object-Oriented Modeling
• +۴ مورد دیگر

Assoc. Prof. Feza Buzluca is affiliated with Istanbul Technical University as an Associate Professor in the Faculty of Computer and Informatics, Department of Computer Engineering . His academic career spans over two decades at ITU, including administrative roles like Vice Dean (2015-2018) and Faculty Board Membership (2016-). PhD in Control and Computer Engineering from Istanbul Technical University Fields: Computer Software, Communication Networks, Object-Oriented Modeling, Microservices His research focuses on software quality assessment , particularly for microservices architectures using fuzzy logic and code metrics. He explores object-oriented systems through machine learning for defect prediction, module extraction, and design pattern analysis. Recent work includes embedded software testing prioritization and cognitive radio network optimization . Key projects: Personal website and ORCID profile highlight 41 research outputs (2001-2024) and 1 project on microservices-based e-payment systems . Collaborations span IEEE/ACM conferences and journals like Journal of Systems and Software . Contact: Office 4318, Ayazaga Campus, 34000 Istanbul | buzluca@itu.edu.tr

• Computer Aided Design and Manufacturing
• Finite Element Analysis
• Machine Theory and Dynamics
• +۳ مورد دیگر

Prof. Dr. İbrahim ÇAYIROĞLU currently holds a full-time Professor position at Karabük University's Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He has served as Department Chair since 2024 and previously held administrative roles including Dean Assistant and Department Chair between 2003-2021. Education: PhD in Mechanical Engineering (2002), Kırıkkale University MSc in Mechanical Engineering (1996), Kırıkkale University BSc in Mechanical Engineering (1991), Istanbul Technical University Research Focus: Specializes in Computer-Aided Design/Manufacturing, Finite Element Analysis, and Machine Dynamics. His work spans robotics, 3D printing optimization, welding technology, and mechanical system simulation. Recent Trends: 2024 publications highlight autonomous robotics, AI-integrated quality control in manufacturing, and advanced finite element analysis. Earlier works focused on SIFT-based object tracking, 3D printing reinforcement, and welding process evaluation. Advising Record: Supervised 11 graduate theses across diverse topics including autonomous robots, composite materials, and 3D printer design. Technical Projects: Led 12 projects between 2007-2023, including TÜBİTAK-funded excavator simulators, composite 3D printers, and automated glass mosaic tiling systems.

• Operations Research
• Multi-Criteria Decision Making
• Modeling and Optimization
• +۷ مورد دیگر

Prof. Dr. İmdat Kara is a full-time faculty member at Başkent University's Industrial Engineering Department, College of Engineering, with a career spanning over four decades. He holds a PhD in Industrial Engineering (1976), an MS in Operations Research (1974), and a BSc in Mathematics (1968) from Anadolu University and Middle East Technical University respectively. His research focuses on Operations Research , Modeling and Optimization , and Multi-Criteria Decision Making . With an H-Index of 11, he has published extensively on vehicle routing problems, team formation in sports, integer programming formulations, and process improvement. His work includes 113 journal articles and 973 books/chapters. 2016: Operational Research Association Honor Award His recent publications (2023-2021) address drilling process optimization, electricity network design, sports team harmony modeling, and advanced formulations for traveling repairman problems. He has supervised 11 PhD and 12 master's theses, including work on time window constraints, heterogeneous fleets, and demand-selective routing. Collaborators include leading researchers like Prof. Dr. Berna Dengiz and Prof. Dr. Yusuf Tansel İç.

• Medical Imaging
• Radiology
• Diagnostic Imaging
• +۲ مورد دیگر

Süleyman DÖNMEZLER serves as an Assistant Professor in the Department of Medical Services and Techniques at Sanko University, where he is integral to the Medical Imaging Techniques Program. His academic responsibilities span curriculum development, instruction, and program administration within this specialized health sciences domain. His research and teaching expertise centers on medical imaging disciplines: Medical Imaging Radiology Diagnostic Imaging Biomedical Technology Health Sciences As part of Sanko University's health education ecosystem—which includes parallel programs in Operating Room Services, Anesthesia, and First and Emergency Aid—Dr. DÖNMEZLER contributes to training technical healthcare professionals. While publication records and awards aren't documented in the source material, his position underscores active engagement in advancing medical imaging education through structured coursework and student mentorship within Turkey's higher education framework.

• Mechatronics
• Robotics
• Parallel Robotics
• +۸ مورد دیگر

Vasfi Emre Ömürlü serves as a Professor in the Department of Mechatronics Engineering at Yildiz Technical University's Faculty of Mechanical Engineering. He has maintained continuous affiliation since his graduate studies and co-founded the Mechatronics Engineering Department in 2008 alongside Prof. Ismail Yuksek and Prof. Ahmet Koyun, subsequently serving as its vice chair and department chair to establish it as a leading program. His academic foundation includes a BSc and MSc in Mechanical Engineering from Yildiz Technical University, followed by a PhD in Medical Robotics from The Ohio State University (2002). His research portfolio demonstrates exceptional impact with 69 Web of Science publications and a remarkable WoS H-index of 105. Dr. Ömürlü's scholarly work centers on advanced mechatronic systems, with primary expertise in Robotics (particularly Parallel Robotics), Flight Simulation, Motion Cueing algorithms, and Unmanned Vehicle development. His secondary specializations include Control Systems, Vehicle Dynamics, Mechanical Vibrations analysis, and Mechanism design within dynamic systems. He has secured research funding through at least one major project and holds 32 intellectual property records. While the source indicates thesis advisory activity, specific student names and project details remain undisclosed in the provided documentation. Beyond academia, Dr. Ömürlü maintains a professional singing career stemming from his musician family background. He resides in Istanbul with his spouse and two children.

Eyüp Fahri Keskenlerمشاهده پروفایل

استاد

• Physics
• Condensed Matter Physics
• Semiconductors
• +۳ مورد دیگر

Eyüp Fahri Keskenler is a Professor at Bayburt University, where he holds dual roles as Acting Dean of the Faculty of Art and Design and faculty member in the Basic Education Department. His administrative responsibilities extend to chairing the Faculty Board, Faculty Board of Directors, and Department Quality Commission, while also serving on university-wide committees including the Senate, Ethics Committee, and Academic Promotion Evaluation Commission. His research focuses on semiconductor physics and materials science, with specialization in: Condensed matter systems and microelectronic applications Thin film fabrication using sol-gel and spray pyrolysis techniques Doping effects in semiconductor materials (ZnO, CdS, CZTS) Device physics of Schottky diodes and heterojunction solar cells Computational optimization methods in materials science Publication analysis reveals two primary research streams: semiconductor material development (75% of recent output) exploring doping strategies and deposition methods for optoelectronic applications, and computational studies (20%) addressing algorithm optimization. A minor historical research thread examines Turkish scientific heritage and computing history.

• Computer Architecture
• Multicore Systems
• High-Performance Computing
• +۷ مورد دیگر

SANEM ARSLAN YILMAZ is an Assistant Professor in the Department of Computer Sciences, Faculty of Engineering, at Marmara University . She earned her Ph.D. in Computer Engineering from Boğaziçi University in 2017 and completed a post-doctoral fellowship at the Barcelona Supercomputing Center (BSC) from November 2019 to October 2020. Research Focus: Computer Architecture, Multicore Systems, High-Performance Computing, Fault Tolerance, Reliability, and Parallel Programming. Contact: sanem.arslan@marmara.edu.tr Her research spans hardware-software co-design, reliability engineering, and parallel computing. She has contributed to 12 Web of Science-indexed publications and maintains an H-index of 12 (Web of Science) and 16 (Scopus). Her work aligns with the UN Sustainable Development Goals , particularly in technology and computing domains.