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Andries van DamView profile

Professor

• Computer Graphics
• Hypertext Systems
• Human-Computer Interaction
• +3 more

Andries "Andy" van Dam is a distinguished Dutch-American professor of computer science at Brown University, where he also served as vice-president for research. Born in Groningen, the Netherlands on December 8, 1938, van Dam has been instrumental in shaping computer science education and research for over five decades. He helped establish Brown's computer science program, serving as its first department chair from 1979 to 1985, and was appointed Thomas J. Watson, Jr. University Professor of Technology and Education in 1995. His educational background includes a B.S. with Honors in Engineering Sciences from Swarthmore College (1960) and M.S. and Ph.D. degrees from the University of Pennsylvania (1963, 1966), where he was the second person to receive a PhD in Computer Science. Van Dam's research interests span computer graphics, hypertext systems, virtual reality, and educational technology. He is particularly known for his pioneering work in hypertext systems, having co-developed the first hypertext system with Ted Nelson in the late 1960s. His influential textbook "Computer Graphics: Principles and Practice" is often referred to as the "Bible" of computer graphics. His work has consistently focused on making complex computing concepts accessible through innovative interfaces and educational approaches. His research publications demonstrate a consistent trajectory from foundational work in computer graphics and hypertext to more recent explorations in immersive virtual reality, digital visual literacy, and next-generation educational software. His work bridges theoretical computer science with practical applications in education, medicine, and scientific visualization. Among his notable honors are: IEEE Centennial Medal (1984) Fellow of the Association for Computing Machinery (1994) ACM SIGGRAPH Distinguished Educator Award (2019) Van Dam has mentored numerous students who have gone on to make significant contributions in computer science, including Randy Pausch, Danah boyd, Scott Draves, and Steven K. Feiner. His teaching extends beyond traditional academic settings, as evidenced by his influence on the character of Andy in the film Toy Story, which pays tribute to his pioneering work in computer graphics. He continues to serve on the technical board of Microsoft Research and as chairman of the Rhode Island Governor's Science and Technology Advisory Council. His research lab has been instrumental in developing innovative approaches to human-computer interaction, with particular focus on post-WIMP (Windows, Icons, Menus, Pointer) interfaces, immersive environments, and educational technologies that transform how we learn and interact with digital information.

Gaurav NandaView profile

Assistant Professor

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +4 more

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

• Semantic Web
• Knowledge Representation
• Artificial Intelligence
• +6 more

Deborah L. McGuinness is the Tetherless World Senior Constellation Chair and Professor of Computer, Cognitive, and Web Sciences at Rensselaer Polytechnic Institute (RPI). She serves as founding director of the Web Science Research Center, focusing on next-generation ontology-enabled research infrastructure for interdisciplinary applications. Leaders in Semantic Web and AI research Bridging AI with eScience and healthcare Developer of semantic frameworks for data-intensive resource efforts Her research spans artificial intelligence, knowledge representation, clinical decision support systems, and ontology engineering. She investigates how semantic technologies can enhance AI explainability, data interoperability, and interdisciplinary science. Her recent publications highlight trends in AI explainability frameworks Knowledge graph construction Clinical decision support Commonsense reasoning benchmarks Health informatics Data harmonization Scientific awards include Fellow of the American Association for the Advancement of Science (AAAS) Robert Engelmore Award from the Association for the Advancement of Artificial Intelligence (AAAI) She leads large data-intensive research efforts and has contributed to projects involving blockchain integration with semantic web standards, FAIR data principles, and incentivized research data sharing mechanisms.

Steve OneyView profile

Associate Professor

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +5 more

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.

• Neuroprosthetics
• Somatosensory Feedback
• Brain-Computer Interfaces
• +3 more

Giacomo Valle serves as an Assistant Professor in the Biomedical Signals and Systems department within the School of Electrical Engineering at Chalmers University of Technology in Gothenburg, Sweden. His research profile indicates strong international collaboration, particularly with institutions including the University of Chicago where he maintains research affiliations. Dr. Valle's research focuses on developing advanced neural interfaces that restore somatosensory function through intracortical microstimulation. His work bridges neuroscience, biomedical engineering, and clinical applications, with particular emphasis on creating biomimetic tactile sensations for users of brain-controlled prosthetic limbs. His innovative approaches to patterned microstimulation enable the perception of edges and motion across the skin, significantly improving manual dexterity and user experience with bionic hands. Analysis of his recent publications reveals a clear trajectory toward clinical translation of neuroprosthetic technologies, with increasing attention to ethical considerations and practical implementation challenges. His work spans fundamental neuroscience investigations through to clinical applications, demonstrating both theoretical depth and practical relevance in the field. While specific awards and honors aren't detailed in the available information, his publication record in high-impact journals like Science indicates significant recognition within the neuroscience and neuroengineering communities. His collaborative research network includes leading institutions across the United States and Europe, suggesting substantial grant funding and research leadership. Dr. Valle's work contributes to multidisciplinary research teams focused on neural engineering and rehabilitation technologies, particularly those developing next-generation brain-computer interfaces with integrated sensory feedback capabilities.

Deepti RaghavanView profile

Assistant Professor

• Operating Systems
• Networking
• Machine Learning Systems
• +2 more

Deepti Raghavan serves as Assistant Professor in Brown University's Department of Computer Science, specializing in operating systems, networking, and machine learning systems. Her research develops novel networked abstractions to optimize data movement in distributed applications through API redesign. Her educational background includes: PhD in Computer Science from Stanford University (2024) MEng in Computer Science from Massachusetts Institute of Technology (2018) BS in Computer Science from Massachusetts Institute of Technology (2017) Her research integrates systems infrastructure with machine learning workloads , focusing on performance-critical communication patterns. Key innovations include zero-copy serialization techniques and network orchestrators for compound AI systems, bridging theoretical advances with practical deployment in cloud environments. Publication trends (2018-2024) reveal consistent contributions to high-performance networking and ML systems, with increasing focus on AI infrastructure. Her work shows strong collaboration patterns with Stanford/MIT researchers and addresses fundamental challenges in data movement efficiency across distributed systems. Scientific recognition includes: National Science Foundation Graduate Research Fellowship (2019) Stanford School of Engineering Fellowship (2018-2019) Distinguished Artifact Award at SOSP 2023 Best Paper Award at Usenix ATC 2018 She actively recruits PhD students for her research group and teaches advanced systems courses including Cloud and Datacenter Operating Systems. Her research is supported by prestigious fellowships and likely NSF grants, with teaching responsibilities spanning graduate seminars and core undergraduate systems education. Her research group collaborates with Stanford's Systems Lab and MIT's CSAIL Networks group, maintaining strong ties to the Networks and Mobile Systems research community. Current projects focus on next-generation abstractions for AI-driven networked applications.

Suchi RajendranView profile

Assistant Professor

• Prescriptive Analytics
• Predictive Analytics
• Applied Operations Research
• +10 more

Suchi Rajendran is an Assistant Professor with a joint appointment in the Department of Industrial and Systems Engineering and the Department of Marketing at the University of Missouri, Trulaske College of Business. She is also the Director of Undergraduate Studies in ISE and actively leads research in prescriptive analytics, operations research, and data-driven decision-making across healthcare, transportation, and business systems. Education: PhD in Industrial Engineering, Pennsylvania State University Her research focuses on applying advanced analytics to solve complex real-world problems. Key areas include optimizing healthcare delivery systems, supply chain and logistics (notably blood supply chains and port operations), marketing data analytics, and emerging transportation systems such as air taxis and electric vehicle infrastructure. She leverages predictive and prescriptive artificial intelligence to forecast demand and recommend optimal operational strategies. Her recent work, highlighted in university news up to 2025, demonstrates a strong trend toward interdisciplinary, AI-powered solutions in logistics, sustainability, and public service. She frequently collaborates with industry partners like Case New Holland and Schneider Electric, and has secured funding from agencies such as the Alaska Department of Transportation and the National Science Foundation. Scientific Awards and Recognitions: Richard Wallace Faculty Incentive Grant Bob Bloss Faculty Enhancement Grant Winemiller Excellence Award in Data Analytics NSF CHOT Scholar (Penn State) Service Enterprise Engineering Fellow DAAD-WISE Fellowship (Germany) Lean Six Sigma Black Belt Dr. Rajendran is actively involved in mentoring students, having advised honors-winning graduate and undergraduate researchers. She leads an NSF-funded Research Experiences for Undergraduates (REU) program that brings 10 students annually to Mizzou to work on AI-enabled operations engineering. Her grants support hands-on, interdisciplinary research that prepares the next generation of engineers and data scientists. She is affiliated with cutting-edge research initiatives involving simulation modeling, digital communication platforms, and AI integration in industrial systems. Her lab and team focus on developing practical, scalable solutions for logistics, healthcare, and sustainable transportation, often through collaborative, real-world projects with public and private stakeholders.

Thomas CokelaerView profile

Researcher

• Bioinformatics
• Data Analysis
• Machine Learning
• +12 more

Thomas Cokelaer is a researcher at the Institut Pasteur, affiliated with the Bioinformatics and Biostatistics HUB and based at the Platform Biomics. Since October 2018, he has led the SALSA (dry-lab) group, focusing on bioinformatics software development and data analysis. His interdisciplinary background spans astronomy, plant modeling, systems biology, and drug discovery. Institution: Institut Pasteur Unit: Bioinformatics and Biostatistics HUB Platform: Platform Biomics Group: SALSA (dry-lab group) leader His research interests center on bioinformatics, next-generation sequencing (NGS) analysis, machine learning, data visualization, and reproducible research. He develops and maintains several widely used open-source tools including Sequana (NGS pipelines), BioServices (biological web services), Bioconvert (format conversion), Sequanix (GUI for Snakemake), and GDSCTools (pharmacogenomics). He is deeply committed to promoting reproducibility in computational research through initiatives like reprohackathons. The recent publications reflect a strong trend in computational biology, with a focus on developing bioinformatics methodologies, improving data analysis workflows, and applying these tools to diverse biological problems such as fungal pathogenesis, cancer pharmacogenomics, mitochondrial metabolism, and viral evolution. The work spans genomics, transcriptomics, systems biology, and software engineering. He has contributed to numerous scientific software projects as Principal Investigator, including Sequana, Bioconvert, GDSCTools, DREAMTools, and Sequanix. He has also taught courses in scientific programming with Python and reproducible data analysis at the Institut Pasteur. His collaborative network includes researchers from EMBL-EBI, Sanger Institute, INRIA, and international partners within the Pasteur Network. The SALSA group hosts master’s students and visiting researchers annually.

Kate SmithView profile

Assistant Professor

• Quantum Computing
• Computer Architecture
• Quantum Compilation
• +5 more

Kate Smith is an Assistant Professor of Computer Science at Northwestern University, affiliated with the McCormick School of Engineering. She holds a PhD in Electrical Engineering from Southern Methodist University (SMU), along with MS and BS degrees in Electrical Engineering and Mathematics from the same institution. Her research focuses on quantum computing, specifically in system architecture, optimized compilation, error mitigation, and security. Prior to joining Northwestern in 2024, she worked at Infleqtion managing the Superstaq compiler team and as a postdoctoral scholar at the University of Chicago under the CQE/IBM program. She has contributed to over 25 peer-reviewed publications and served on technical committees for major conferences like MICRO, ISCA, and DAC. Education: SMU (PhD 2019, MS 2015, BS in EE/Math 2014). Professional experience includes roles at EPFL (Switzerland), Texas Instruments, and the Darwin Deason Institute for Cyber Security. Her honors include the 2022 HPCA Best Paper Award, MIT EECS Rising Star (2021), and the IEEE TC-MVL Early Career Award (2021). Research interests span quantum compilation, distributed systems, qudit processing, and quantum security. She co-organized the 2023 CCC Workshop on Next Steps in Quantum Computing and chaired the 2022 ISMVL conference. Her work emphasizes bridging hardware-software gaps to enable scalable quantum systems. Grants and collaborations include the EPiQC group at the University of Chicago and projects funded by the Swiss NSF. Teaching experience includes courses on quantum computing fundamentals and digital design at SMU, University of Chicago, and adjunct roles.

• Medical Robotics
• Teleoperation Systems
• Augmented Reality
• +3 more

Albert Hernansanz Prats is a Post-Doctoral Researcher and Lecturer at Universitat Pompeu Fabra (UPF), Barcelona, within the SIMBIOsys research group. He co-founded Surgitrainer, a spin-off company focused on hybrid minimally invasive surgical training and assessment platforms, which has secured multiple EU grants. His academic background includes a computer engineering degree from Universitat Autònoma de Barcelona (2003) and a Ph.D. from Universitat Politècnica de Catalunya (2016). His research focuses on advanced teleoperation systems, cognitive and cooperative control architectures for robotic systems, and multimodal user interfaces integrating virtual fixtures and augmented reality. He has contributed to numerous national and European research projects in medical robotics and intelligent systems (RMIS). As co-author of international patents and active in industry-academia collaboration, he bridges research innovation with practical applications in surgical training and robotics. His work emphasizes human-robot interaction and next-generation surgical technologies. Current affiliations include leading roles at Surgitrainer as CTO and academic contributions at UPF through teaching and research.

• Agricultural Automation
• Robotics
• Control Systems
• +5 more

Timo Oksanen is a Visiting Professor at Aalto University's Department of Electrical Engineering and Automation. His research focuses on agricultural automation, robotics, and control systems, with a strong emphasis on ISO 11783 vehicle network standards and autonomous systems. He collaborates with industry partners to develop next-generation agricultural machinery solutions, including automated guidance systems, sensor integration, and cybersecurity protocols. Oksanen leads the Autonomous Systems research group and has authored over 100 publications since 2009. Key research areas include precision agriculture technologies, machine learning applications in farming, and the integration of OPC UA with agricultural communication standards. Recent work addresses challenges in autonomous vehicle navigation, dust-resistant vision systems, and safety-critical perception architectures for automated field operations. Notable projects include the AGRIX initiative for ISOBUS-compatible implements and the development of a next-generation task controller using OPC Unified Architecture. Oksanen has also contributed to international standards for tractor-implement communication and four-wheel steering systems. His work bridges academic research with industrial applications, addressing both technical innovations (e.g., LIDAR-based object detection) and operational efficiency improvements in farm machinery fleets.

Yasir ZakiView profile

Assistant Professor

• Communication Networks
• Wireless Networks
• Cellular Communication
• +9 more

Yasir Zaki is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He leads the Communication Networks Lab, focusing on next-generation communication systems, performance optimization, and digital equity. University: New York University Abu Dhabi School: Courant Institute of Mathematical Sciences Department: Department of Computer Science Academic Rank: Assistant Professor Email: yz48@nyu.edu Dr. Zaki holds an MSc and PhD in Communication and Information Technology from the University of Bremen, graduating with honors. His research centers on communication and wireless networks, cellular systems, congestion control, and enhancing internet access in developing regions. His work bridges theory and real-world impact, especially in digital inclusion and AI's role in education. His recent publications span top venues like PNAS, IEEE TCSS, and ACM IMC, covering topics such as satellite network performance, digital inequality (Lite-Web), AI in education, and Big Tech's global influence. These works reveal a strong trend toward socially impactful computing, network measurement at scale, and algorithmic transparency. Big Tech Dominance Despite Global Mistrust Perception of AI in Education YouTube's Political Bias Lite-Web for Digital Equity Satellite Network Analysis His research has been recognized through high-profile media coverage in Nature and The National , and his PhD student Hazem Ibrahim received the MIT Technology Review Arabia’s Innovators Under 35 MENA 2023 award. This reflects the lab's excellence in computational social science and AI policy. Dr. Zaki mentors students in the Capstone and Research Seminar courses and actively advises PhD and research assistants. He has secured research funding through NYUAD and collaborative projects, enabling field deployments in 56 countries. His lab, the Communication Networks Lab, fosters interdisciplinary work, involving researchers from computer science, social sciences, and policy.

• mmWave Antennas
• Beam-Steering
• MMIC Design
• +7 more

Artem Vilenskiy is a researcher in the Antenna Systems group at Chalmers University of Technology since 2019. His work focuses on developing active integrated array antenna concepts, 100+ GHz beam-steerable antennas and circuits, MMIC design, computational electromagnetics methods for radiation and scattering problems, and collaboration with Chalmers industrial partners. His educational background includes: MSc Degree (Specialist) in Electrical Engineering from Bauman Moscow State Technical University (BMSTU) in 2011 PhD Degree (Eng.) in "Antennas, Microwave Devices and Its Technology" from BMSTU in 2014 Dr. Vilenskiy's research spans multiple cutting-edge areas in microwave and antenna engineering, with particular emphasis on millimeter-wave and sub-THz frequency ranges. He specializes in reconfigurable intelligent surfaces (RIS), beam-steering technologies, and integrated antenna solutions for next-generation wireless communication systems. His work bridges theoretical electromagnetics with practical implementation challenges, often involving close collaboration with industry to address real-world telecommunications and radar applications. His expertise encompasses both novel antenna architecture design and associated microwave integrated circuits, with significant contributions to mmWave phased arrays and wireless power transfer systems. Analysis of his recent publications reveals a strong and consistent focus on millimeter-wave antenna systems, particularly in developing reconfigurable intelligent surfaces for 5G/6G applications, advanced beamforming techniques, and innovative antenna array architectures. His research spans frequencies from W-band (75-110 GHz) into the sub-THz range, addressing critical challenges in high-frequency wireless communication systems. The publications demonstrate a consistent emphasis on practical implementation, with many papers detailing circuit models, measurement techniques, and experimental validation of theoretical concepts across multiple application domains including satellite communications, wireless backhaul, and quantum computing interfaces. Dr. Vilenskiy has been actively involved in multiple significant research projects: Low-Thermal-Conductance and High-Density Microwave Interconnects for Cryogenic Quantum Computers (2024-2025) Energy Efficient, Beamforming Antenna-IC Integration Solutions for Future 100+GHz Telecommunication Systems (2021-2023) Antenna technologies for beyond 5G Wireless Communication (2020-2025) MyWave - Efficient Millimetre-Wave Communications for mobile users (2019-2023) Integrated Antenna Arrays (2016-2023) Prior to joining Chalmers, Dr. Vilenskiy worked at Samsung Research Institute Russia from 2011-2019 in various engineering roles including research engineer, expert engineer, and project leader. During 2015-2019, he also held a part-time Associate Professor position at BMSTU where he coordinated the MSc course "Applied Electrodynamics of Composite Media". His industry experience in mobile communication, automotive radar, robotics, and wireless power transfer provides valuable practical insights that complement his academic research in antenna systems.

Sotiris ChristodoulouView profile

Associate Professor

• Web Engineering
• Web Application Performance Optimization
• Web Code Quality
• +7 more

Sotiris Christodoulou is an Associate Professor at the Department of Electrical and Computer Engineering within the College of Engineering at the University of Peloponnese. He also serves as a research associate at the 'Diofantos' Institute of Computer Technology and Publishing. His academic career spans multiple institutions where he has taught graduate and undergraduate courses across seven different universities since 2004. Dr. Christodoulou earned his B.A. in Computer Engineering and Informatics from the University of Patras in 1994 and completed his PhD in Web Engineering from the same institution in 2004. His educational background established the foundation for his extensive research career focused on web technologies and applications. His primary research interests include Web Engineering, Web Application Performance Optimization, Web Code Quality, Semantic Web technologies, Hypermedia Systems, and emerging Web 2.0 and Web 3.0 technologies. His work extends to Virtual Interactive Environments, 3D and Augmented Reality applications, and Spatial Hypertext systems. Christodoulou's research bridges theoretical web engineering principles with practical applications in cultural heritage, education, and urban infrastructure systems. His research output comprises over 45 publications in international journals, book chapters, and conferences, accumulating more than 450 citations. He has participated in over 23 European and National Research and Development Projects focused on web software technology, hypermedia applications, and 3D educational and cultural applications. Professional member of ACM Professional member of IEEE Member of organizing committees for over 15 international scientific conferences Reviewer for recognized international journals (ACM, IEEE, etc.) Christodoulou has extensive teaching experience across seven universities, specializing in programming languages, web software engineering, software quality, and data management. His research projects typically combine applied research with cutting-edge technology implementation for real-world problems in large organizational information systems. He maintains regular office hours at Building K, Office K2.02 at the University of Peloponnese, with appointments available on Mondays and Thursdays.

Çiğdem KayaView profile

Professor

• Historical, Cultural, and Social Context of Design
• Theory and Methodology in Industrial Design
• Product Design
• +5 more

Prof. Dr. Çiğdem Kaya is a distinguished academic at Istanbul Technical University's Faculty of Architecture, Department of Industrial Product Design. She has held significant roles such as Department Chair (2024–present) and Dean of the Department of Industrial Design. Her research focuses on the historical, cultural, and social contexts of design, theory and methodology in industrial design, and product design innovation. Kaya has led numerous research projects, including studies on sustainable design practices, maker cultures, and design education. She has been awarded the ODTÜ Prof.Dr. Mustafa Parlar Foundation Research Incentive Award (2020) and is a member of Marie Curie Alumni Association and the Design Research Society. Education: She earned her PhD in Industrial Product Design from Istanbul Technical University (2011) and holds master's and bachelor's degrees in Industrial Design from the same institution. Her academic journey includes international research experiences, such as a visiting scholar at Sheffield Hallam University (2009–2010). Research Interests: Kaya explores intersections between design and culture, sustainability, and collaborative practices. Notable projects include investigations into craft knowledge transfer, maker ecologies, and the impact of remote collaboration during the pandemic. Her work bridges theoretical frameworks with practical applications, emphasizing socially responsible design. Grants & Projects: She has secured funding for projects like 'Afet Sonrası İyileşme Sürecinde Sürdürülebilir Sosyal Girişimcilik' (2023) and 'Trans-making' (EU Horizon 2020), focusing on placemaking and cultural democratization. Over 20+ research outputs span journals like Futures , Design Issues , and Journal of Consumer Behaviour . Labs/Teams: Kaya leads design studios and collaborative research teams, fostering innovation in product design and educational methodologies. Her supervision of over 15 graduate theses highlights her commitment to mentoring next-generation designers.