جست‌وجوی استاد و پژوهشگر

Glenn Downingمشاهده پروفایل

دانشیار

• Programming Languages
• Compilers
• Object-Oriented Programming
• +۲ مورد دیگر

Glenn Downing is an Associate Professor of Instruction in the Department of Computer Science at The University of Texas at Austin, College of Natural Sciences. He teaches courses including CS 371p: Object-Oriented Programming and CS 104c: Competitive Programming. Downing serves as faculty advisor for the UT Programming Contest (UTPC) team and has guided the team to notable successes including a 15th place finish in North America at the ICPC World Finals. His educational background includes: Ph.D. program in CS at The University of Texas at Austin (1982-83) Ph.D. program in Aero/Astro at Stanford University (1977-78) M.S. in Aero/Astro at M.I.T. (1975-77) B.S. in Physics at University of Illinois Urbana-Champaign (1973-75) Studies at Purdue University (1970-72) Downing's research focuses on Programming Languages and Compilers , with specific interests in Object-Oriented Programming and Software Engineering . His work explores language design, compilation techniques, and software development methodologies that enhance programmer productivity and software reliability. He has made contributions to understanding initialization patterns in object-oriented systems and data sharing mechanisms in scientific computing environments. His publication record shows a consistent focus on practical aspects of programming language implementation and software engineering, evolving from foundational research on object initialization techniques in the 1990s toward more applied scientific computing challenges in the 2000s. 2020 - College of Natural Sciences Teaching Excellence Award 2018 - Nominated for Regents' Outstanding Teaching Awards 2013 - College of Natural Sciences Golden Apple Teaching Excellence Award 2006 - College of Natural Sciences Foundation Advisory Council Awards 2002 - College of Natural Sciences Teaching Excellence Award As faculty advisor for the UT Programming Contest team, Downing has cultivated student success in international programming competitions. His teaching excellence has been consistently recognized through multiple awards from the College of Natural Sciences spanning two decades. He has developed comprehensive curriculum for competitive programming and object-oriented design courses that emphasize practical implementation skills. Downing maintains active involvement with the UT Programming Team and Competitive Programming Club, providing mentorship that has resulted in multiple regional championship victories and strong showings at international competitions including the ICPC World Finals.

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

Diana Borzaمشاهده پروفایل

مدرس

• Computer Vision
• Facial Feature Analysis
• Perception Systems
• +۶ مورد دیگر

Diana Borza is a lecturer in computer science, active since 2014, with a focus on computer vision , facial feature analysis , and perception systems . Her research applies to soft biometrics , human behavior understanding , and visual surveillance . She teaches courses including Computer Networks , Computer Vision and Deep Learning , and Object-Oriented Programming . Projects: MULTIFACE (PN-II-RU-TE-2014-4-1746, 2015-2017) DEEPSENSE (PN-III-P1-1.1-TE-2016-0440, 2018-2020) Research interests span computer vision, deep learning, and their interdisciplinary applications. Her work explores: Facial feature analysis for biometric recognition Human behavior modeling through video surveillance Efficient model ensembling and knowledge distillation Multimodal sentiment analysis and online learning dynamics Recent publications emphasize temporal action detection, attention mechanisms, and adaptive networks. Key themes include: Dynamic facial/body tracking Pedestrian attribute recognition Micro-expression detection Periocular biometrics Energy-efficient AI Scientific contributions : Received Romanian Ministry of Education grants for MULTIFACE and DEEPSENSE projects Developed models for real-time micro-expression detection and hair segmentation Published extensively on soft biometrics and human behavior analysis

Tuna Tuğcuمشاهده پروفایل

استاد

• Wireless Networks
• Cognitive Radio
• 5G Networks
• +۲ مورد دیگر

Tuna Tuğcu is a Professor in the Department of Computer Engineering at Bogazici University's Faculty of Engineering. He also serves as Advisor to the Rector. He is a faculty member of the Computer Networks Research Lab (NetLab) and participates in the Telecommunications and Informatics Technologies Research Center (TETAM) at Kandilli Campus. His educational background includes a PhD in Computer Engineering from Bogazici University (2001), followed by a post-doctoral position at Georgia Institute of Technology's Broadband and Wireless Networking Lab (18 months), and a visiting professorship at Georgia Institute of Technology - Savannah Campus (2 years). Professor Tuğcu's research focuses primarily on wireless networks with emphasis on Cognitive Radio and 5G Networks, as well as Molecular Communications and NanoNetworking. His work spans both theoretical and practical aspects, including the development of emulators for molecular communication systems. His research group has created several educational tools including emulators for Communication via Diffusion, Calcium Signaling, Neuromuscular Junctions, and Protrusions. His publication record shows a clear progression from foundational work in Cognitive Radio Networks architecture to more recent work on Radio Environment Maps, social cognitive radio, and optimized sensor networks. The research demonstrates consistent focus on spectrum utilization challenges and innovative approaches to molecular-scale communications. Best Paper Award at The Sixth Advanced International Conference on Telecommunications (AICT) 2010 Professor Tuğcu has supervised numerous students who have contributed to research projects and developed educational emulators. He teaches courses including Introduction to Computing (CmpE150), Introduction to Object Oriented Programming (CmpE160), Operating Systems (CMPE322), Broadband Wireless Networks (CmpE567), and NanoNetworking (CMPE59G). His research group is actively seeking new members for projects on NanoNetworking, 5G/CloudRAN, and Next-Generation Private Industrial Communications Networks, including a joint TÜBİTAK-2244 project with SIEMENS.

Zbigniew Jan Mańkowskiمشاهده پروفایل

استادیار

• Aesthetic Reflexivity
• Literature and Art Interdisciplinary Studies
• Hermeneutics
• +۷ مورد دیگر

Zbigniew Jan Mańkowski is an active faculty member at the Department of History and Theory of Art, Academy of Fine Arts in Gdańsk, specializing in interdisciplinary research connecting literature, art, and social life. His academic journey began at the University of Gdańsk's Faculty of Philology and History where he earned his PhD, influenced by Maria Janion's hermeneutic school through professors Małgorzata Czermińska and Kazimierz Nowosielski. His research focuses on aesthetic reflexivity —an interdisciplinary concept examining theoretical and cognitive potential in artistic practices, particularly in Czesław Miłosz's writings. He explores creative existence philosophy through Józef Czapski's work, analyzes social dimensions of contemporary Polish prose (Anderman, Huelle, Tokarczuk), and investigates poets' engagement with visual arts (Broniewski, Różewicz, Herbert). His methodological approach combines hermeneutics with cultural anthropology, extending traditional literary studies to incorporate emotional cognition and lived experience. His publications demonstrate consistent scholarly output from his 2005 monograph Widzieć prawdę to recent habilitation research on Miłosz. The articles reveal strong thematic continuity in examining literature-art relationships, with increasing focus on aesthetic reflexivity as an analytical framework. His work bridges theoretical literary analysis with practical applications through the Social Design Laboratory. As an educator in integral pedagogy and coordinator of the Social Design Laboratory within ECS-ASP cooperation, he actively connects academic research with contemporary cultural understanding. His participation as an expert in the Pomerania 2030 development scenarios program demonstrates applied research engagement with regional development challenges.

Esther Hammelburgمشاهده پروفایل

مدرس ارشد

• Hybrid Realities
• Liveness
• Media and Civic Engagement
• +۵ مورد دیگر

Esther Hammelburg is a Senior Lecturer at the Faculty of Digital Media and Creative Industries, Hogeschool van Amsterdam. She holds a PhD from the Universiteit van Amsterdam and focuses on hybrid realities shaped by digitalization and AI-driven media. Her research explores liveness, media literacy, and the societal impact of digital platforms. PhD in Media Studies, Universiteit van Amsterdam Her work examines how media constructs contemporary experiences of events, death, and civic engagement. Recent publications address hybrid spaces, TikTok's role in contestation, and AI's implications for creativity. She contributes to policy frameworks like the Civic Social Media Roadmap. Key trends in her research include: Platform-specific practices (TikTok, Instagram) Mediated memory and liveness Design of public-value-driven digital infrastructures Media's role in societal rituals Hammelburg received the Boekman Dissertatieprijs (2025) for her work on hybrid event experiences and contributes to public discourse through consultancy and media appearances. Academic advisor for civic media initiatives Keynote speaker at international conferences Consultant for Hilversum Mediastad's repositioning Expert commentator on AI and social media

Lucas Hofمشاهده پروفایل

استاد

• Aeronautics and Aerospace
• Sustainable Development
• Circular Economy
• +۶ مورد دیگر

Dr. Lucas Hof is a Professor at the Department of Mechanical Engineering , École de technologie supérieure (ÉTS), University of Québec . He holds a B.Sc. , M.Sc. from Delft University of Technology and a Ph.D. from Concordia University. Research Axes: Aeronautics/Aerospace, Sustainable Development & Circular Economy, Innovative Materials, Intelligent Systems Labs: NUMERIX (Organizational Engineering), DYNAMO (Machine Dynamics), CIRODD (Sustainable Development), LFIC (Smart Manufacturing) His research focuses on advanced manufacturing (SACE micromachining, additive manufacturing), smart corrosion monitoring in bolted joints, industry 4.0/5.0 integration , and circular economy strategies for materials like eggshells and titanium alloys. Recent work explores neural networks for powder coating optimization and electrochemical post-processing of 3D-printed parts. Key publications span glass machining ( Manufacturing Letters ), smart maintenance systems ( IFAC-PapersOnLine ), and circular supply chains ( Journal of Cleaner Production ). He co-supervises numerous PhD/MSc students in topics including solar panel design, medical mask recycling, and metamaterial applications.

• 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.

Claudius Hammannمشاهده پروفایل

استاد

• Fire Science
• Fire Protection Engineering
• Risk Engineering
• +۴ مورد دیگر

Claudius Hammann is a Professor at the TUM School of Engineering and Design at the Technical University of Munich . His research focuses on fire science , performance-oriented fire protection , and fire risk engineering , with particular emphasis on human-machine interfaces in fire safety. Prof. Hammann holds a habilitation in building physics (in process) and a PhD in risk analysis of complex systems from TUM. His 15-year career combines practical firefighting experience with academic research, examining fire protection in contexts of building materials, energy storage, and aviation safety. His publications analyze fire safety trends through statistical studies, regulatory evaluations, and structural fire behavior. Current work explores the effectiveness of prescriptive building codes and fire risk quantification methodologies.

Marcellus Siegburgمشاهده پروفایل

پژوهشگر

• Formal Methods
• Automated Exercise Generation
• Programming Languages
• +۳ مورد دیگر

Marcellus Siegburg is a Research Associate in the Department of Computer Science / AI at the University of Duisburg-Essen, working under Prof. Dr. Janis Voigtländer in the Formal Methods in Computer Science group. His responsibilities include teaching courses on programming paradigms and modeling, with ongoing instructional activities scheduled through 2025. His research focuses on applying formal methods to educational contexts, particularly in: Automated generation of exercises for modeling tools (Petri nets, UML diagrams) Development of assessment systems for programming languages (Haskell) Integration of formal verification tools like Alloy into pedagogical workflows Model-driven development for educational technologies His publications demonstrate a consistent focus on automating computer science education components, combining formal methods with practical teaching tools. The work emphasizes scalability and diversity in exercise generation while maintaining academic rigor. As part of the Formal Methods research group, he collaborates on projects involving domain-specific languages and automated assessment systems. No awards, grants, or student advising relationships are documented in available materials.

• Information Retrieval
• Artificial Intelligence
• Social Computing
• +۳ مورد دیگر

Stefano Mizzaro is a Full Professor at the Department of Mathematical, Computer, and Physical Sciences within the University of Udine . His teaching and research focus on Social Computing , Information Retrieval , Web Information Retrieval , and Artificial Intelligence .

• 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.

• Software Engineering
• Educational Technologies
• Process Mining
• +۳ مورد دیگر

Pasquale Ardimento is an Associate Professor in Software Engineering at the University of Bari Aldo Moro , specializing in AI-driven tools for software modeling and educational technologies. His work bridges computational intelligence with software development practices to enhance learning and maintenance processes. Ph.D. in Computer Science (2005), University of Bari, thesis: “A Technology for Global Software Development” Laurea in Computer Science (1999-2000), University of Bari, with full marks and honors His research focuses on: AI-enhanced software modeling tools like UML Miner , which logs user interactions for conformance checking and personalized feedback. Process mining techniques to analyze modeling behavior and detect misconceptions in software engineering education. Code analysis and bug-fixing time prediction using large language models (BERT, DistilBERT) and object-oriented design assessment. Just-in-time defect prediction via deep learning models (Temporal Convolutional Networks) for proactive software maintenance. Awarded the National Scientific Habilitation (ASN) in 2023 for permanent Associate Professor positions in Italy, he has served as a Program Committee member , Session Chair , and Workshop Organizer at international conferences (IJCNN, PROFES, HELMeTO) and as a reviewer for journals like IEEE Access and Journal of Systems and Software . His collaborations include the Pennine Research Group during a visiting researcher stay at Durham University (UK).

• Energy Efficiency
• Sustainable Transportation
• Data Center Management
• +۴ مورد دیگر

Jukka Nurminen serves as an Adjunct Professor and Visitor within Aalto University's Department of Computer Science, maintaining active affiliation with the Myllymäki Petri research group at the Helsinki Institute for Information Technology (HIIT). His institutional presence bridges theoretical computer science and sustainability applications through cross-disciplinary collaborations. Research focuses span three critical domains: energy-efficient computing systems (data centers, distributed networks), sustainable urban mobility via smartphone data analytics, and AI ethics in educational contexts. His work consistently translates computational frameworks into real-world sustainability solutions, such as developing smartphone-based tools for low-carbon travel optimization and energy-aware data center management. Recent publications (2025) reveal emerging expertise in quantum algorithm measurement techniques and LLM ethics assessment, building on established contributions in sustainable transportation (2020) and green computing (2018-2019). This trajectory demonstrates continuous adaptation to computational frontiers while maintaining core sustainability objectives. No scientific awards are documented in available sources, though his work appears in premier venues including IEEE Quantum Software, ACM Transactions, and Sustainability journals. As an Adjunct Professor, he likely engages in graduate supervision within Aalto's Computer Science department, with research supported by institutional resources at HIIT and Aalto. Collaborative patterns indicate international partnerships, particularly with CERN in green computing initiatives and transportation researchers in sustainable mobility projects. His affiliation with the Myllymäki Petri group provides access to HIIT's machine learning infrastructure and cross-institutional researcher network, facilitating the data-intensive approaches central to his transportation and energy studies.

Hakan Tuzunمشاهده پروفایل

استاد

• Educational Technology
• Game-Based Learning
• Virtual Reality in Education
• +۴ مورد دیگر

Hakan Tuzun is a Professor in the Department of Computer Education and Instructional Technology at Hacettepe University in Ankara, Turkey. His research focuses on designing technology-enhanced learning environments with emphasis on cultural considerations. His primary affiliations include Hacettepe University where he teaches courses such as BTE202, BTÖ716, and BCO623 (Computer Game Design Projects). Dr. Tuzun's research examines innovative applications of educational technologies including: Game-based learning frameworks and hyper-casual game design Virtual reality and 3D multi-user environments for spatial learning Programming education using both block-based and text-based modalities Eye-tracking analysis of e-learning platform usability Problem-based instructional design in immersive environments His work consistently explores how technological implementations affect cognitive load, motivation, and learning outcomes across educational contexts. His publications demonstrate strong research trends in educational technology with recent emphasis on: Virtual/augmented reality implementations for spatial and conceptual learning Programming education methodologies and cognitive impacts Usability engineering of digital learning platforms Gamification strategies across formal and informal learning contexts Design frameworks for collaborative virtual environments Methodologically, his work frequently employs eye-tracking, cognitive load measurement, and authentic task analysis. No major scientific awards are documented in the provided materials. Dr. Tuzun maintains active research collaborations as evidenced by multi-author publications and develops virtual environments for educational applications such as library orientation and university departmental training. His work continues to explore emerging technologies like low-cost VR HMDs and adaptive game design frameworks.