جستجوی استاد راهنمای دانشگاهی

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

• Data Mining
• Agent-Based Modeling
• Machine Learning
• +۲ مورد دیگر

Hatice Köse is a Professor at Istanbul Technical University in the Department of Artificial Intelligence and Data Engineering within the College of Computer and Informatics. She holds a PhD in Computer Engineering from Boğaziçi University and has been a key figure in advancing AI applications for human-centered technologies, particularly in assistive robotics and human-computer interaction. PhD in Computer Engineering, Boğaziçi University (2000–2007) MSc in Computer Engineering, Boğaziçi University (1997–2000) BSc in Computer Engineering, Boğaziçi University (1993–1997) Her research focuses on Artificial Intelligence , Human-Robot Interaction , and Assistive Technologies , with a strong emphasis on applications for children with autism and hearing impairments. She explores affective computing, emotion recognition using facial and physiological signals, and multimodal interaction frameworks. Her work integrates deep learning, signal processing, and robotics to develop inclusive technologies. Recent publications highlight trends in lightweight AI models for edge devices , gaze and emotion detection in children , and explainable machine learning in medical diagnosis . Her articles span top venues in AI, robotics, and multimodal interaction, reflecting a consistent focus on socially beneficial AI systems. EELISA Project Diversity Reward (2023) Best Paper Award, INISTA 2020 İTÜARI Teknokent Graduation Design Project Competition (2016) Necdet Eraslan Project Competition Honorable Mention (2011) Professor Köse has led numerous research projects funded by TÜBİTAK, EU, and university programs, including initiatives on AI-enabled manufacturing, teaching technologies to children with neurodevelopmental disorders, and sensor-based digital biomarkers for early detection. She has supervised multiple graduate students and research assistants, contributing to the development of next-generation AI researchers. She has also held administrative leadership roles such as Department Head and Education Coordinator. She is actively involved in research labs and teams focusing on socially assistive robotics , affective computing , and AI for accessibility , fostering interdisciplinary collaboration across computer science, psychology, and education.

• Artificial Intelligence
• Human-Computer Interaction
• Robotics
• +۱۲ مورد دیگر

Gözde Gül Şahin is an Assistant Professor in the Computer Science and Engineering Department at Koç University's College of Engineering, where she leads research at the intersection of natural language processing and machine learning. She is affiliated with KUIS AI (Koç University Artificial Intelligence Research Center) and serves as Principal Investigator for a major Tübitak-funded project on procedural language understanding. Previously, she was a postdoctoral researcher at the Ubiquitous Knowledge Processing Lab (UKP) at Technical University of Darmstadt, working with Prof. Iryna Gurevych, and completed her PhD at Istanbul Technical University under the supervision of Prof. Eşref Adalı. Dr. Şahin's research focuses on pushing the boundaries of natural language processing by building machine learning models and open-access tools for world's languages, with particular emphasis on semantics, procedural language understanding, and the abstraction and reasoning capabilities of large language models. Her work bridges theoretical linguistics with practical NLP applications, especially for low-resource and morphologically complex languages like Turkish. She has made significant contributions to multilingual probing frameworks, grammatical error correction for Turkish, and understanding how machines can learn from small data through projects like PuzzLing Machines. Her recent publications reveal a consistent research trajectory toward understanding procedural language and improving model generalizability across domains. She has developed frameworks for evaluating multilingual representations (LINSPECTOR), created benchmarks for Turkish language understanding (Cetvel), and investigated how language models process step-by-step instructions. Her work often addresses the gap between high performance on standard NLP tasks and real-world applicability, with a strong focus on making NLP more accessible for underrepresented languages. Scientific Awards Tübitak 2232 B-International Fellowship for Outstanding Researchers (2022) Dr. Şahin actively mentors students, having supervised bachelor's students like Max Eichler (now PhD student at UKP/TU Darmstadt) and pre-doctoral researchers like Haritz Puerto. Her current Tübitak-funded project supports 2 Masters students, 2 PhD students, and one postdoctoral researcher working on "Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance." She has served as Area Chair for COLING 2022 and organized workshops at major NLP conferences including EMNLP. She leads the GGLab at Koç University, which focuses on developing NLP models and datasets for world's languages, with particular attention to Turkish and other low-resource languages. The lab's work spans multiple dimensions of language understanding, from grammatical error correction (GECTurk) to procedural reasoning and multilingual instruction tuning.

• Natural Language Processing
• Semantics
• Procedural Language Understanding
• +۵ مورد دیگر

Pelin Angin is an Assistant Professor in the Department of Computer Engineering at Middle East Technical University (METU), affiliated with the S2RL and WINS research laboratories. She holds a BS in Computer Engineering from Bilkent University and a PhD in Computer Science from Purdue University. Previously, she served as a Visiting Assistant Professor and Postdoctoral Research Associate at Purdue University. Her research focuses on High-Performance Mobile-Cloud Computing, Cloud Computing and IoT Security, Distributed Systems, Blockchain, and 5G Security. Her work addresses critical challenges in cybersecurity and efficient computing architectures for modern networked systems. Her publications exhibit strong emphasis on cybersecurity innovations, particularly intrusion detection systems, blockchain applications, and network security for IoT and 5G environments. Recent works demonstrate growing interest in AI-driven security solutions and energy-efficient computing frameworks.

• High-Performance Mobile-Cloud Computing
• Cloud Computing and IoT Security
• Distributed Systems
• +۲ مورد دیگر

Murat Yilmaz is an Associate Professor at the Department of Computer Engineering , Faculty of Engineering , Gazi University , Turkey. With over 14 years of industrial experience in software development, including roles at Huawei Research Centre and HAVELSAN A.Ş., he bridges academic research with practical software methodologies. Research Focus : Gamification in software engineering, agile transformations, virtual reality (VR) for training, and human-computer interaction. Industrial Collaboration : Partners include Huawei, HAVELSAN A.Ş., Kreatin Studios, and Portakal Technologies. Expertise : Software architecture, empirical research, motivational models, and digital governance in the metaverse. His recent publications explore gamification in sleep health, bias in AI systems, metaverse applications, and microservices decomposition. He employs explainable AI and VR for software process improvement, with a strong emphasis on productivity, fairness, and efficiency in development teams.

• Software Engineering
• Gamification
• Agile Methodologies
• +۵ مورد دیگر

Assoc. Prof. Ferda Mindivan serves as Associate Professor and Deputy Head of Department at Bilecik Seyh Edebali University's Faculty of Engineering, Department of Biomedical Engineering since 2022 and 2024 respectively. Her academic journey includes a Doctorate in Physical Chemistry from Atatürk University (2013), Postgraduate studies in Mechanical Engineering at Bursa Uludağ University (2021), and Postdoctoral research in Metallurgical and Materials Engineering at Istanbul Technical University (2022). Doctorate: Physical Chemistry, Atatürk University (2013) Postgraduate: Mechanical Engineering, Bursa Uludağ University (2021) Postdoctoral: Metallurgical and Materials Engineering, Istanbul Technical University (2022) Undergraduate: Chemistry, Atatürk University (2005) Mindivan's research spans biomaterials development with emphasis on graphene-based composites, green synthesis methodologies, and tribological applications for biomedical devices. Her work bridges polymer science, nanotechnology, and sustainable materials engineering, focusing on applications ranging from tissue engineering scaffolds to environmentally friendly wastewater treatment solutions. The interdisciplinary nature of her research integrates materials characterization, mechanical testing, and surface modification techniques to develop novel biomaterials with enhanced performance characteristics. Analysis of her publication record reveals strong focus on graphene derivatives in polymer matrices (particularly polycaprolactone and polyvinyl chloride), electroless coatings for corrosion resistance, and green synthesis approaches using natural extracts. Her work demonstrates consistent innovation in creating multifunctional biomaterials with applications in tissue engineering, biosensors, and environmental remediation. TÜBİTAK 2218 Domestic Postdoctoral Research Scholarship (2021) TÜBİTAK-BIDEB Domestic Doctoral Scholarship Program (2010) Mindivan has successfully supervised four graduate students while managing over 20 research projects funded by TÜBİTAK, BAP, and international programs. Her leadership extends to coordinating the Graphene and Two-Dimensional Materials Focus Technology Network under the Defense Industry Presidency. Current research directions include carbon nanofiber production from modified coal for bone tissue scaffolds and advanced biodegradable composites for medical applications.

• Biomaterials
• Materials Science
• Nanotechnology
• +۴ مورد دیگر

Assoc. Prof. Dr. Michael Stefan Bittermann is an academic at Istanbul Technical University , Department of Architecture. His career spans multiple institutions including Technical University Delft and Maltepe University, with roles ranging from Doctor Lecturer to research leadership positions. Doctorate from Delft University of Technology (2005) Post-doctoral Fellowship (80k€) at Delft University of Technology (2009) Currently Assistant Professor at ITU Previously held academic positions in Germany and The Netherlands His research focuses on Information Technologies in Architecture and Design , with key contributions in: Architectural Design Computational Intelligence Visual Perception Evolutionary Algorithms Fuzzy Logic Applications Multi-Objective Optimization Scientific activities reflect strong collaboration with Dr. Özer Ciftcioglu and others, with projects like the Interactive Computational Design initiative (2018-2020). Research outputs (42 total) show consistent contributions since 2006 in: IEEE Transactions on Systems, Man, and Cybernetics Nexus Network Journal CAADRIA proceedings IEEE Congress on Evolutionary Computation International collaborations span institutions in: The Netherlands (Delft University) Germany (Bittermann Weiss GmbH) Turkey (Istanbul Technical University) Japan (CEC conferences) USA (SIGGRAPH, NAFIPS)

• Architectural Design
• Computational Intelligence
• Visual Perception
• +۳ مورد دیگر

Betül Sena ÇAĞLAR serves as a Lecturer within the Big Data Analytics Program at the School of Information Technologies, Istanbul 29 Mayıs University. Her academic foundation includes a Licence (Bachelor's) in Information Systems Engineering from Sakarya University (2021) and a Master's in Computer Engineering (2025), where her thesis explored "Anomaly Detection in Industrial Machinery Using Explainable Artificial Intelligence and Acoustic Signals." She is currently advancing her academic career through ongoing Doctoral studies in Computer Engineering at Sakarya University. Her research integrates industrial applications with cutting-edge AI methodologies, specializing in interpretable machine learning systems for machinery health monitoring via acoustic analysis. This work bridges theoretical AI frameworks with practical engineering solutions, emphasizing model transparency in critical industrial contexts. Prior to her academic appointment, she accumulated three years of industry experience as a Data Engineer, developing machine learning solutions for international R&D projects. ÇAĞLAR actively disseminates her findings through presentations at national and international conferences, contributing to evolving discourse in applied artificial intelligence. Her professional trajectory demonstrates a synergistic blend of industrial data engineering expertise and academic research rigor within the data science domain.

• Machine Learning
• Explainable Artificial Intelligence
• Anomaly Detection
• +۲ مورد دیگر

Cem Ersoy is a full Professor at the Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He serves as the Vice Director of TETAM and leads the Computer Networks Research Laboratory (NetLab), driving forward research in wireless networks, pervasive health, IoT, 5G, SDN, and emerging air computing paradigms. His research spans cutting-edge domains such as air computing, edge intelligence, wearable stress monitoring, indoor localization, and smart city neurocomputing challenges. By integrating deep reinforcement learning, probabilistic modeling, and IoT systems, his work aims to create unobtrusive, scalable, and adaptive computing solutions for real-life environments. Recent publications reveal a strong focus on air computing as a novel computation paradigm, leveraging multi-agent deep learning and simulation frameworks. Another major trend is wearable-based affect and stress monitoring , where semi-supervised learning and explainable AI reduce labeling burdens while enhancing real-life applicability. Additional work addresses edge computing orchestration , network slicing , and live video streaming optimization using SDN and reinforcement learning. Prof. Ersoy actively advises graduate researchers and leads funded projects in national and international arenas, although specific grant titles and student names are not listed in the source. His lab, NetLab, provides a collaborative environment for innovations in computer networks, IoT, and pervasive health technologies.

• Wireless Networks and Mobile Applications
• Pervasive Health
• Internet of Things
• +۱۲ مورد دیگر

Özgür Ulusoy is a Professor of Computer Engineering at Bilkent University, Turkey. He has held academic positions since 1993, including Assistant Professor (1993–2003) and Associate Professor (1998–2003) before becoming a full Professor in 2003. He earned his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1992, following an M.S. (1988) and B.S. (1986) in Computer Engineering from Bilkent University and Middle East Technical University, respectively. His research focuses on web search engines, text-to-SQL systems, social network analysis, multimedia databases, and wireless/mobile systems. Notable projects include developing domain-specific web portals, optimizing query result caching, and exploring semantic relationships for search engine efficiency. He has directed over 20 sponsored projects funded by TÜBITAK, EU, and international collaborations, involving topics like data mining in mobile networks and real-time database scheduling. Ulusoy’s work bridges theoretical contributions with practical implementations, including prototyping video database systems and educational search engines. His research often emphasizes scalability, efficiency, and user-centric design. He has advised graduate students such as Arif Usta and Akifhan Karakayalı. His team’s contributions span algorithm development, system prototyping, and interdisciplinary applications in multimedia, social networks, and cloud computing. Key grants include projects on information retrieval paradigms in SQL translation (TÜBITAK, 2019–2021), refreshment strategies for web search caching (TÜBITAK, 2010–2011), and semantic relationships in search engines (TÜBITAK, 2008–2010). His recent work addresses challenges in IoT sensor networks, cloud resource scheduling, and mitigating misinformation in online platforms.

• Web Search Engines
• Text-to-SQL Systems
• Online Social Network Analysis
• +۵ مورد دیگر

Hasan Boztoprak is an Assistant Professor in the Department of Logistics Management at Istanbul Beykent University's Faculty of Economics and Administrative Sciences. He has held academic roles at Turkish Army School Command and Beykent University since 2013, with a focus on organizational behavior , strategic human resources , and logistics optimization . PhD in Business Administration from Uludağ University (2012–2018) Master's in Business Administration from Istanbul University (2014) Associate Degree from Anadolu University (2015) Licence in Economics and Administrative Sciences from Kocaeli University (2004) His research explores innovation mechanisms , quality management , and digital transformation , particularly in healthcare and logistics. Recent work includes modeling delivery time deviations using the POBREP method (2025) and analyzing ICT impacts on digital economies in BRICS and Türkiye (2025). Publications highlight trends in organizational culture , technological adoption , and co-opetition dynamics . He has supervised master's theses on nurse burnout, digital leadership in healthcare, and employee adaptation mechanisms.

• Strategic Human Resource Management
• Organizational Behavior
• Logistics and Supply Chain Management
• +۵ مورد دیگر

Volkan Patoğlu is an Assistant Professor at the Mechatronics Program within the Faculty of Engineering and Natural Sciences at Sabanci University, Istanbul, Turkey, where he has been employed since September 2006. He completed his PhD at the University of Michigan, Ann Arbor in 2005, following two Master's degrees in Mechanical Engineering and Electrical Engineering and Computer Science from the same institution. His educational background includes: PhD in Mechanical Engineering, University of Michigan, Ann Arbor (2005) MS in Electrical Engineering and Computer Science, University of Michigan (2002) MS in Mechanical Engineering, University of Michigan (2000) BS in Mechanical Engineering, Middle East Technical University, Ankara (1999) Dr. Patoğlu's research focuses on physical human-machine interaction , rehabilitation robotics , and cognitive robotics . His work examines haptic guidance schemes for skill training and rehabilitation, the design of exoskeletons and prosthetic devices, and interaction control systems. His research bridges mechanical engineering, robotics, and human factors to develop systems that enhance human capabilities and assist in rehabilitation. His recent publications (2020-2025) demonstrate a strong focus on series elastic actuation, haptic rendering, and human-in-the-loop optimization. Many papers explore the passivity and performance limitations of haptic systems, while others investigate cognitive robotics approaches using answer set programming. His work spans both theoretical control analysis and practical implementations in rehabilitation and educational robotics. Dr. Patoğlu has received numerous awards for his contributions: Outstanding Associate Editor Award by IEEE Robotics and Automation Letters (2020) Meritorious Service Awards from IEEE Transactions on Haptics (2018) Best Conference Paper Nomination at IEEE ICRA (2015) Young Scientist Award from Science Academy (2015) Best Application Paper Award at IEEE/RSJ IROS (2013) His research has led to the development of several robotic platforms including the AssistOn series of rehabilitation robots (AssistOn-Ankle, AssistOn-Finger, AssistOn-Mobile, AssistOn-Gait) and the HandsOn-SEA educational platform with series elastic actuation. He maintains active collaborations with researchers in cognitive robotics, particularly with Esra Erdem, and continues to bridge theoretical control systems with practical implementations in assistive and educational technologies. He is affiliated with multiple professional organizations including IEEE (since 2001), ASME (since 2005), EuroHaptics Society (since 2006), and AAAI (since 2009), and serves on technical committees for IEEE RAS related to haptics and telerobotics.

• Physical human-machine interaction
• Rehabilitation robotics
• Cognitive robotics
• +۵ مورد دیگر

Samet Aksoy is a Researcher at the Department of Geomatics Engineering, Istanbul Technical University. He holds a PhD in Geomatics Engineering (completed in 2023) and has been a Research Assistant since 2020. His research focuses on remote sensing, GIS, and environmental monitoring using machine learning and Earth observation technologies. He actively contributes to projects involving satellite imagery analysis, soil salinity mapping, urban heat island modeling, and agricultural applications such as olive tree detection and hazelnut cultivation planning. Education: PhD in Geomatics Engineering (2023), MSc in Geomatics Engineering (2019), BSc in Geomatics Engineering (2014) from Istanbul Technical University. Research interests include: Development of geospatial decision support systems Machine learning applications in remote sensing Integration of Sentinel and Landsat data for environmental monitoring Google Earth Engine platform utilization Climate change impact analysis through satellite data Recent publications emphasize: Tree detection algorithms using YOLO-based models Soil salinity mapping with explainable AI Urban heat island modeling using LiDAR and Landsat data Environmental monitoring frameworks for crop residue emissions Awards: 2023 IEEE GRSS Turkey Chapter Best M.Sc. Thesis Award, 2024 COSPAR Outstanding Paper Award, and 2023 Istanbul Technical University Publication Award. Professional contributions include advising on geospatial projects and collaborating with institutions like the UYG-AR Center at ITU. Active participant in international conferences on geoinformatics, remote sensing, and agro-geoinformatics.

• Remote Sensing
• GIS
• Environmental Monitoring
• +۳ مورد دیگر

Şaziye Özge Atik is an Assistant Professor at the Department of Geomatics Engineering, Faculty of Civil Engineering, Istanbul Technical University. Her research focuses on Remote Sensing and Computer Vision, with applications in machine learning, hyperspectral imaging, and urban remote sensing. She holds a PhD in Geomatics Engineering from Istanbul Technical University (2021) and has held academic positions including Doctorate Lecturer (2023–present) and Lecturer roles at Gebze Technical University (2020–2023). She was an Academic Visitor at Twente University’s ITC EOS Department in 2018. Her academic achievements include winning the IEEE GRSS Türkiye Best Thesis Competition (2022). She has published extensively on topics such as satellite imagery analysis, UAV-based geospatial technologies, and machine learning applications in remote sensing. Her work integrates deep learning, object-based image analysis, and geospatial data processing to address environmental and urban challenges. Research interests span spectral-spatial data fusion, optimal band selection in hyperspectral imaging, and automated cartographic generalization. She has contributed to projects on coastal zone management, urban vegetation classification, and emergency evacuation modeling using geospatial algorithms like Dijkstra’s pathfinding.

• Remote Sensing
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Lecturer Mahmut SARI has served at Kırşehir Ahi Evran University's Vocational School of Technical Sciences, Department of Construction since 2016. His academic credentials include a PhD in Civil Engineering from Erciyes University (2024), MSc from Istanbul University (2019), and BSc from Kocaeli University (2013). His educational background: PhD in Civil Engineering, Erciyes University (2019-2024) MSc in Civil Engineering, Istanbul University (2015-2019) BSc in Civil Engineering, Kocaeli University (2007-2013) Dr. SARI specializes in construction dispute resolution mechanisms, with research bridging civil engineering, legal frameworks, and computational methods. His work demonstrates particular expertise in applying machine learning to construction litigation analysis, early-stage conflict mitigation, and optimization of project management workflows. Current investigations focus on AI-driven dispute prediction models and sustainability integration in healthcare infrastructure. His publication record (2021-2025) reveals three dominant research trajectories: machine learning applications for construction dispute analysis (45% of output), sustainable building practices (30%), and computational optimization techniques (25%). These interdisciplinary efforts span civil engineering, computer science, and legal studies, with significant international collaboration involving UK institutions. Dr. SARI currently serves as Research Center Manager at Ahi Evran University's Technology Transfer Office (2023-present), directing institutional research strategy. His grant portfolio includes three major projects: two TÜBA/TÜBİTAK-funded initiatives on machine learning analysis of construction disputes (2022-2025) and one structural calculation methodology project (2018-2020). He teaches core construction engineering courses including Reinforced Concrete, Site Organization, and Construction Cost Estimation. His international research network includes collaborations with Newcastle University, University of Birmingham, and University of Durham scholars. As an active member of the Chamber of Civil Engineers since 2013, he contributes to professional standards development in Turkish construction practice.

• Construction Management
• Project Management
• Optimization Techniques
• +۲ مورد دیگر