جست‌وجوی استاد و پژوهشگر

Ersin Çineمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Ersin Çine is a Researcher and former PhD candidate in the Computer Engineering Department at İzmir Institute of Technology. He holds a BSc from Süleyman Demirel University (2015), and MSc and PhD degrees from İzmir Institute of Technology (2018 and 2024). His research focuses on artificial intelligence, machine learning, automated reasoning, and medical imaging. He teaches courses such as CENG 213 (Theory of Computation) and CENG 463 (Introduction to Machine Learning). His research spans topics like syllogistic logic integration into knowledge bases, efficient image matching algorithms, and bioengineering applications using lensless holographic microscopy. His work combines theoretical advances in logic with practical applications in medical diagnosis and space biotechnology. No scientific awards or grants are listed, and there are no formal research projects or advisees documented. His professional contact is based at İzmir Institute of Technology’s Computer Engineering Department.

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +۴ مورد دیگر

Dr. Işıl Öz is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University and a Ph.D. from Boğaziçi University. Before joining IZTECH in 2018, she worked as a postdoctoral researcher and ERCIM/Marie Curie Fellow at the Swedish Institute of Computer Science (SICS). Her research focuses on computer architecture, performance optimization, and reliability of multi-core systems, with a strong emphasis on fault-tolerant computing and GPGPU applications. Key projects include the TÜBİTAK-funded FTGPGPU initiative analyzing hardware fault tolerance for GPU applications. She teaches courses such as Operating Systems, Advanced Computer Architecture, and Parallel Programming Patterns. Her work spans machine learning-based vulnerability prediction, compiler design for reliable execution, and approximation techniques for efficient parallel computing. Publications appear in venues like ACM Computing Surveys, The Journal of Supercomputing, and International Journal of Parallel Programming. Awards: ERCIM/Marie Curie Fellowship Labs/Teams: Parsiyte Research Group (focused on parallel and distributed systems) Grants: TÜBİTAK ARDEB 3501 (FTGPGPU project)

Osman Gökalpمشاهده پروفایل

استادیار

• Evolutionary Computation
• Metaheuristic Algorithms
• Machine Learning
• +۵ مورد دیگر

Osman Gökalp is an Assistant Professor in the Department of Computer Engineering at Izmir Institute of Technology (IZTECH). He holds B.Sc., M.Sc., and Ph.D. degrees from Ege University's Computer Engineering department (2010, 2012, 2018). Previously, he served as a research assistant at Yaşar University (2011-2012) and Ege University (2014-2021), followed by an assistant professor position at Izmir Katip Çelebi University (2021-2024). His research focuses on evolutionary computation, metaheuristic algorithms, machine learning, and optimization problems with applications in medical imaging, cloud computing, and wireless sensor networks. Education: B.Sc. Computer Engineering, Ege University (2010) M.Sc. Computer Engineering, Ege University (2012) Ph.D. Computer Engineering, Ege University (2018) Research Interests: His work spans algorithm design for optimization problems, including metaheuristics like Greedy Construction and Differential Evolution. Notable areas include DNA motif discovery, task scheduling in cloud computing, and Alzheimer's disease detection via medical imaging. Projects: Contributions include repositories like 'WSN_Coverage_And_Connectivity' (Differential Evolution for sensor networks), 'CloudTaskSchedulingOptimization' (metaheuristics for cloud task scheduling), and 'MotifDiscovery' (DNA sequence analysis using GRASP metaheuristic). Labs/Teams: Active in IZTECH's Computer Engineering research groups, focusing on computational intelligence and algorithm development for real-world applications.

Serap Şahinمشاهده پروفایل

استادیار

• Cybersecurity
• Information Systems Security
• Cryptology
• +۵ مورد دیگر

Serap Şahin is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.S. (1987), M.Sc. (1989), and Ph.D. (2006) in Computer Engineering from Ege University. Her academic career began in 2002 after working at Arkas Holding as an Information Systems Coordinator, where she managed transportation and logistics systems. She completed a postdoctoral fellowship at the European Commission’s Joint Research Center (2010) focusing on Next Generation Network Security, supported by TUBITAK. Her research interests span cybersecurity, information systems security, cryptology, and cloud computing security. Notable contributions include studies on social network privacy, blockchain applications, forensic data analysis, and homomorphic encryption systems like EDU-VOTING. She has published widely in journals such as the International Journal of Information Security Science and Turkish Journal of Electrical Engineering and Computer Sciences. Key achievements include a TUBITAK Postdoctoral Fellowship (2010) and leadership in projects like “Homomorphic Cryptosystem Based Electronic Election System Solution” funded by BAP. Her work bridges theoretical cryptography with practical applications in secure communication, data privacy, and network security.

• Supply Chain Management
• Production Systems
• Industrial Engineering
• +۶ مورد دیگر

Assoc. Prof. Dr. Murat Baskak is an Associate Professor at Istanbul Technical University (ITU), affiliated with the Department of Business Administration and Industrial Engineering. He holds a PhD in Industrial Engineering from ITU. His academic career spans over three decades, including roles such as Vice Dean and Head of Department at ITU. His research focuses on Supply Chain Management, Production Systems, and Logistics, with contributions to warehouse design optimization, intellectual capital analysis, and manufacturing process efficiency. He has authored numerous books and peer-reviewed articles, including works on green logistics and facility layout applications. Dr. Baskak's educational background includes a PhD (1991-1998), Master's, and Bachelor's degrees in Industrial Engineering from ITU. His professional experience includes academic and administrative leadership roles since 1989. He is a member of several professional associations, including the Logistics Association and the Chamber of Mechanical Engineers. His research emphasizes practical applications in textile and manufacturing industries, sustainable logistics, and supply chain optimization. Key research areas include hierarchical warehouse design, reverse logistics networks, and the integration of production planning with inventory systems. His work often bridges theoretical models and real-world industrial challenges, particularly in Turkey's manufacturing sectors. Dr. Baskak's contributions span academic publications, conference presentations, and industry collaborations, reflecting his commitment to advancing operational efficiency and sustainability.

Özgür Kabakمشاهده پروفایل

استاد

• Multi-criteria Decision Making
• Operations Research
• Modeling and Optimization
• +۳ مورد دیگر

Prof. Özgür Kabak is a Professor of Industrial Engineering at Istanbul Technical University, with affiliations in both the Department of Industrial Engineering and Department of Business Administration. He holds a PhD in Industrial Engineering from Istanbul Technical University (2008) and has served in academic roles since 2001. His research focuses on multi-criteria decision making, operations research, and optimization methodologies. Education: PhD in Industrial Engineering, Istanbul Technical University (2004–2008) MSc in Industrial Engineering, Istanbul Technical University (2001–2003) BSc in Industrial Engineering, Istanbul Technical University (1997–2001) Research Interests: Multi-criteria decision analysis and group decision-making frameworks Optimization models in transportation, logistics, and supply chain management Data-driven approaches for sustainability and risk assessment Applications of fuzzy logic and belief degree theory in decision support systems Recent work trends include: Integration of deep learning with optimization techniques Risk assessment and resource allocation for forest fire management Large-scale scheduling challenges in petrochemical and airline industries Methodological advancements in project portfolio selection Key projects: Feldspar Blending Optimization (TÜBİTAK-funded, 2023) Crude Oil Process Optimization (TÜPRAŞ collaboration, 2021–2022) Warehouse Process Improvement for Automotive Parts (2017–2019) Decision support systems for automotive industry failures (TOFAŞ collaboration) Labs/Teams: Active in developing decision support systems and optimization models through collaborative projects with private and public institutions.

• Machine Learning
• Healthcare Systems
• Logistics and Supply Chain Management
• +۴ مورد دیگر

Assoc. Prof. Dr. Seda Yanık Özbay is an academic at Istanbul Technical University (ITU), affiliated with the Department of Industrial Engineering and the Department of Business Administration within the College of Engineering. She holds a PhD in Industrial Engineering from ITU and has extensive professional experience spanning academia and industry. Education: PhD in Industrial Engineering, Istanbul Technical University (2006–2011) Master’s in Engineering Management (Thesis), ITU (2002–2004) Bachelor’s in Industrial Engineering, ITU (1995–1999) Research Focus: Her work integrates machine learning, optimization, and decision science with applications in healthcare systems, sustainable logistics, transportation engineering, and educational technology. Notable areas include AI-driven disease diagnosis, supply chain optimization, and stakeholder-oriented decision frameworks for distance education. Recent publications emphasize ensemble methods in medical diagnostics and multi-criteria approaches to public transportation design. Articles Trends: Her 2020–2024 work showcases growth in AI applications (e.g., coronary disease prediction) and sustainability-focused solutions (e.g., micro-credentials in e-learning). Collaborations often bridge technical domains like neural networks with societal challenges in healthcare and education. Awards: No specific awards listed. Advising & Grants: While advising details are not explicitly stated, her publications reflect collaborative research with graduate students and industry partners. Research activities include grants related to logistics optimization and smart transportation systems. Labs/Teams: Engaged in interdisciplinary groups at ITU’s Industrial Engineering Department, focusing on operations research and applied AI solutions.

Ömer Faruk Beycaمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Ömer Faruk Beyca is an Associate Professor at Istanbul Technical University's Department of Industrial Engineering. He holds an Integrated Ph.D. from Oklahoma State University and has held academic positions since 2014, including roles as Vice President of Department at both Istanbul Technical University and Fatih University. His research focuses on machine learning applications in healthcare, finance, and energy systems, with notable work on diabetic retinopathy diagnosis via deep learning and supply chain sustainability. Education: Integrated Ph.D. in Industrial Engineering from Oklahoma State University (2007–2013); B.Sc. in Industrial Engineering from Fatih University (2003–2007). Research interests include data mining, artificial intelligence, and optimization techniques applied to medical imaging, financial systems, and energy forecasting. He has supervised 12+ graduate theses and holds editorial roles in journals like Journal of Business Analytics . Recent publications (2023–2024) emphasize hybrid AI models for healthcare diagnostics, dynamic financial decision systems, and sustainability in supply chains. He contributes to projects like sensor-based predictive maintenance and pharmaceutical demand forecasting.

• Healthcare Management Science
• Simulation Modeling
• Breast Cancer Research
• +۳ مورد دیگر

Mehmet Ali Ergün is an Assistant Professor in the Department of Industrial Engineering at Istanbul Technical University. Previously, he served as a Doctor Lecturer at Istanbul City University (2018-2020) before joining Istanbul Technical University in 2020. His academic journey includes an Integrated Doctorate from the University of Wisconsin-Madison (2012-2018) and a Licence (Bachelor's) in Computer Engineering from Bogazici University (2004-2009). Dr. Ergün's research focuses on healthcare management science, particularly in breast cancer screening and mortality modeling, organ transplantation optimization, and applying machine learning to healthcare decision making. His work combines operations research methodologies with real-world healthcare challenges to develop evidence-based decision support tools. His research fingerprint shows strong emphasis on Breast Cancer (100%), Cancer Mortality (58%), Breast Cancer Screening (51%), and Simulation Modeling (39%). His publication record demonstrates consistent scholarly output since 2014, with 18 research outputs including journal articles, book chapters, and conference contributions. His most impactful work includes the 2021 paper on the Impact of the COVID-19 Pandemic on Breast Cancer Mortality, which has garnered 123 Scopus citations and significant policy attention. Dr. Ergün has received notable recognition for his research, with his work being Picked up by 87 news outlets Blogged about by 3 sources Referenced in 1 policy source Shared by numerous social media users Read by hundreds of researchers on Mendeley Currently, Dr. Ergün serves as Principal Investigator for an active BAP project titled "An alternative scoring system for determining donor kidney quality" (2025-2026), demonstrating his ongoing commitment to addressing critical healthcare system challenges through operations research methodologies.

Şeyda Serdar Asanمشاهده پروفایل

دانشیار

• Supply Chain Management
• Supply Chain Networks
• Service Systems
• +۵ مورد دیگر

Şeyda Serdar Asan is an Associate Professor in the Department of Industrial Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Business Administration. She holds a PhD from Technische Universität Berlin. Her research focuses on supply chain networks, service systems, and medical tourism logistics, with recent work emphasizing circular supply chains for electric vehicles and sustainable drone delivery solutions. Education: PhD in Industrial Engineering, Technische Universität Berlin (2003–2009) MSc in Engineering Management, ITU (1999–2001) BSc in Industrial Engineering, ITU (1995–1999) Research Interests: Her work addresses challenges in service supply chains, risk assessment, and sustainability. She has pioneered models for medical tourism operations and circular economy applications in battery management. Recent studies include drone-assisted last-mile delivery under environmental constraints and supplier selection in healthcare logistics. Projects: Drone-Assisted Last-Mile Delivery Routing Model (2022–2024) Analysis of Health Tourism Demand in Turkey (2019–2020) Acorn-Based Sustainable Food Supply Chain (2023 ongoing) Advising & Grants: Dr. Asan has supervised over 15 theses, focusing on supply chain optimization, medical tourism, and sustainable logistics. She has secured grants totaling over ₺500k for projects on drone routing and healthcare logistics. Labs/Teams: She leads the ITU Supply Chain Innovation Lab, collaborating with industry partners on applied research in smart logistics and circular economy systems.

• Interior Architecture
• Architectural Technology
• Design Education
• +۷ مورد دیگر

Gözde Gökdemir is a Research Assistant in the Department of Interior Architecture at Istanbul Technical University, holding a PhD from Mimar Sinan Fine Arts University. Her work bridges architectural design with advanced technologies like virtual reality (VR) and artificial intelligence (AI). PhD in Interior Architecture, Mimar Sinan Fine Arts University (2021) MA in Interior Architecture Design, Istanbul Technical University (2018) Licence in Interior Architecture, Istanbul Technical University (2013-2018) Her research focuses on integrating computational design and generative approaches into design education , leveraging virtual reality for anthropometric measurements and spatial perception studies . She explores linguistic interfaces in design tools and applies genetic algorithms to architectural problems. Her collaborative work includes frameworks for combining rule-based and generative design methodologies. Gökdemir’s recent publications highlight her expertise in using VR technology for dimensional analysis and design communication . She investigates implicit spatial narratives in domestic settings, such as water infrastructure, and addresses earthquake resilience through scenario-based design and flexible shelter systems . Her research has been published in journals like the International Journal of Architectural Computing and Open House International , focusing on digital prototyping , design pedagogy , and human-computer interaction in architectural contexts.

• Architectural Design
• Computational Design
• Digital Fabrication
• +۵ مورد دیگر

Ethem Gürer is an Associate Professor in the Department of Interior Architecture at Istanbul Technical University. He holds a Doctorate in Architectural Design with Computers (Dr.) from the same institution. His research focuses on computational design methodologies, digital fabrication, virtual reality applications in architecture, and pedagogical innovations in design education. Education: PhD in Architectural Design with Computers (2007-2014) Master's in Architectural Design with Computers (2004-2007) Bachelor's in Architecture (2000-2004) Research Interests: Algorithmic design and generative systems Extended reality applications in AEC disciplines Digital tools for architectural pedagogy Material science integration in design processes Quantitative analysis of spatial perception Recent work trends show emphasis on immersive VR environments for education, computational pattern generation, and rethinking traditional design pedagogy through digital fabrication. His 2022-2025 publications particularly highlight decision support systems for ER SDKs and hermeneutical frameworks for design evaluation. Administrative roles include Department Deputy Chairman (since 2018) and membership in design technology committees. He has led architectural design studios emphasizing complex systems thinking and interdisciplinary approaches. Labs/Teams: Active member of İTÜ Design Technologies and Informatics Research Group since 2014, focusing on digital design innovation and educational tool development.

• Earthquake-Resistant Architectural Design
• Materials and Technology in Architecture
• Structural Engineering
• +۳ مورد دیگر

Assoc. Prof. Dr. Ferhat Pakdamar is a faculty member at the Department of Architecture, Faculty of Architecture at Istanbul Technical University. He previously served at Gebze Technical University, holding roles including Deputy Dean and full-time academic positions from 2014-2024. His research focuses on earthquake-resistant architectural design and materials/technology in architecture. Education: PhD in Civil Engineering, Istanbul Technical University (2002-2010) MSc in Civil Engineering, Istanbul Technical University (1997-2001) BSc in Civil Engineering, Erciyes University (1994-1998) Research Interests: His work spans seismic vulnerability assessment, fuzzy logic applications in structural analysis, historical building preservation, and intelligent facade technologies. He has led projects like the Kuzey Marmara Highway bridge consultancy and seismic retrofitting studies for 144 bridges across Turkish highways. Publications: Recent works include studies on museum artifact protection, mosque roles in disasters, and 3D-printed composite materials. His research emphasizes bridging engineering principles with architectural aesthetics, particularly in disaster-resilient design. Awards: 2015 Beylikdüzü Municipality Competition Award for Urban Bridge Design Professional Activities: Member of the Turkish Chamber of Civil Engineers since 1998. Active in international conferences like the 2018 Earthquake Risk Assessment workshop in Gebze. Supervised 14+ graduate students focusing on innovative construction technologies and sustainable design. Artistic Contributions: Organized architectural exhibitions including the Fractal Exhibition at Gebze Tech University and participated in national architecture yearbook showcases.

• Computational Design
• Architectural Theory
• Nature and Architecture
• +۳ مورد دیگر

Assoc. Prof. Dr. Nizam Onur Sönmez is a Turkish researcher, writer, architect, and educator affiliated with Istanbul Technical University's Department of Architecture since 2004. His work bridges artificial intelligence and architectural design, focusing on computational tools for design automation, evolutionary algorithms, and theoretical explorations of post-humanism and nature's role in architecture. Education: PhD (2015) and MSc (2004) from Istanbul Technical University, BSc (2001) from same institution Academic Career: Research Assistant (2004-2018), Assistant Professor (2018-present) Research Areas: AI in architecture, design theory, computational modeling, post-human spatiality His recent publications emphasize AI applications (2015-2024), evolutionary design frameworks (2009-2018), and interdisciplinary urban analysis (2017). Research themes consistently integrate computational creativity with theoretical critique. Scientific Awards DEGİAD Yaşayan Pamukkale National Architectural Idea Project Competition 1st Prize (2019) Eşdeğer Satın Alma Awards (2020, 2016) Fikir Sunumu Dalı Ödülü (2020) Jüri Özel Ödülü (2004) His design practice and teaching engage with radical architectural traditions, computational innovation, and critical theory. Collaborations span visual urban analysis, design knowledge systems, and adaptive evolutionary design.

Ahmet Alkanمشاهده پروفایل

استاد

• Economics Theory
• Game Theory
• Matching Theory
• +۳ مورد دیگر

Ahmet Alkan is a Professor at Sabancı University's Faculty of Arts and Social Sciences, specializing in Economics Theory and Game Theory. He holds a B.S. in Physics from Brown University (1969) and M.S./Ph.D. in Operations Research from UC Berkeley (1973/1975). His career includes roles as Dean of FASS (2001–2008) and membership in the Turkish National Academy of Sciences (2000). Research focuses on matching theory, auction mechanisms, and stable allocations. Notable contributions include work on school formation dynamics, equitable matchings, and lattice structures in multi-partner markets. Awards include the Bosphorus University Foundation Best Research Award (1984) and Operations Research Society of Turkey Best Research Award (1985). Publications span over four decades, with key contributions in Econometrica , Journal of Economic Theory , and ACM EC. Active in interdisciplinary collaborations, his work bridges game theory, economics, and computational models.