Find Academic Supervisors

• Human-Computer Interaction
• Collaborative and Social Computing
• Computer Supported Cooperative Work
• +7 more

Dr. Ioanna Lykourentzou is an Associate Professor in the Software Technology for Learning and Teaching department at Utrecht University's Faculty of Science. She leads the Collaborative Technologies Lab and coordinates the Computing Science Master's and Information Sciences Honors Bachelor's programs. Additionally, she serves as a Fair Data and Software fellow within the Open Science Team of the Faculty of Science and as a member of the Ethics Review Board for the Faculties of Science and Geosciences. Her research focuses on collaborative and crowd systems, developing methods that help people work together, coordinate efforts, and innovate at scale, both online and in physical spaces. Her interdisciplinary approach combines computational science (machine learning, agent-based modeling, mathematical optimization) with social sciences (personality testing, team building). Her expertise spans Human-Computer Interaction, Algorithms, Agent-Based Modelling, Telecollaboration, Creativity, and Innovation. Her recent publications (2021-2025) demonstrate a strong focus on human-AI interaction, generative models, and applications in cultural heritage and education. She examines how technology can facilitate collaboration, with particular attention to team formation, personality factors, and digital nudging techniques. Her work bridges theoretical research with practical applications in digital humanities, cultural heritage, and computing education. Dr. Lykourentzou has received significant recognition for her research, with multiple publications garnering substantial citations and reader attention across platforms like Mendeley and social media. Her work on personality-based team formation (2016) has been particularly influential with over 90 citations. Prior to joining Utrecht University, she worked as a Senior Researcher at the Luxembourg Institute of Science and Technology (LIST), where she coordinated the European H2020 project CROSSCULT. She has also collaborated with the Human-Computer Interaction Institute of Carnegie Mellon University as a visiting researcher and with INRIA Nancy-Grand Est and the Public Research Center Henri Tudor as a postdoctoral fellow.

Eva ArtingerView profile

Researcher

• Human-Computer Interaction
• Tangible User Interfaces
• Multitouch Interaction
• +4 more

Eva Artinger is a Researcher at the Chair for Computer Aided Medical Procedures & Augmented Reality within the Faculty of Informatics at Technical University of Munich . Her work focuses on Human-Computer Interaction with specific emphasis on Multitouch and gestural User Interfaces , Information Visualization , and Tangible User Interfaces . Current position: Researcher at TUM Degree: Master of Science Her research particularly addresses the challenges of designing user interfaces for emergency response systems , including applications for Mass Casualty Incidents (MCIs) where she has developed innovative map interaction techniques and gesture-based text input systems like Gestyboard 2.0. Eva has contributed to multiple publications analyzing usability in high-stress environments and exploring interaction paradigms for augmented reality applications in medical and architectural contexts. Her recent work has focused on designing interfaces that maintain functionality while being operated in unstable conditions, with research trends showing increasing specialization in emergency response UI/UX , mobile device interaction , and real-time data visualization . Eva has also been actively involved in teaching activities at TUM, covering topics in Augmented Reality applications and Human-Computer Interaction for both desktop and mobile platforms.

Giovanni MichettiView profile

Associate Professor

• Archival Science
• Digital Archives
• Document Management
• +5 more

Giovanni Michetti serves as Associate Professor in the Department of Modern Literature and Culture at Sapienza University of Rome. His academic career focuses on archival science with particular expertise in digital archives, document management systems, and technological applications for archival practices. Currently teaching multiple courses including Document Management, Digital Preservation, Archival Organization and Description, and Computer Science for Archives and Libraries for the 2024/2025 academic year, he maintains an active role in the university's archival science programs within the Historical Sciences and Archival and Library Science degree courses. Michetti's research centers on contemporary archives with special emphasis on digital transformation in archival practices. His work spans digital archives management, document management systems, descriptive models, classification plans, and technology integration in archival contexts. He investigates blockchain applications for enhancing trust in digital archives, develops data architectures for cultural heritage, and examines the economic value of archival resources. His scholarly contributions bridge traditional archival science with modern information technologies, addressing critical challenges in preserving digital records while maintaining intellectual control over archival materials. His recent publications reveal a clear trajectory toward technological solutions for archival challenges, spanning theoretical aspects of archival science, practical applications of new technologies, and professional standards development. Key recurring themes include digital preservation techniques, blockchain applications for record authentication, data architectures for cultural heritage, and the evolving role of archivists in the digital age. This research reflects the field's transition from traditional archival methods to innovative digital approaches that address contemporary challenges in recordkeeping. Michetti leads the research project ADA (Advanced Digital Archive), which develops systems for online access to digital collections of humanities at Sapienza University. While specific student advising details aren't provided in the available materials, his extensive publication record and active research projects suggest significant mentorship activities within the archival science community.

ÖNDER ÇANGALView profile

Associate Professor

• Teaching Turkish as a Foreign/Second Language
• Digital Language Teaching Tools
• Language Acquisition
• +3 more

ÖNDER ÇANGAL is an Associate Professor at Gaziantep University Faculty of Education Department of Turkish and Social Sciences Education since 2024. He previously served as Associate Professor (2022-2024) and Lecturer (2015-2022) at Gaziantep University Turkish Language Teaching Center. His international experience includes teaching Turkish at Yunus Emre Institutes in Belgrade (2021), Algeria (2019-2020), and Bosnia (2012-2015), as well as Turkic studies at Emir Abdulkadir Islamic Sciences University (2019-2020). PhD in Teaching Turkish as a Foreign Language (Hacettepe University, 2016-2020) MSc in Turkish Language Education (Gazi University, 2011-2013) BSc in Turkish Language Teaching (Gazi University, 2007-2011) His research focuses on Turkish as a Foreign Language (TFL) pedagogy, digital language tools, cultural context in language learning, and technology integration in education. With over 27 articles and 20 book chapters, his work examines social media applications, grammar acquisition challenges, and specialized Turkish curricula for migrants and professionals. Scientific recognition includes the 2024 Ziya Gökalp Başarı Ödülü and 2022 Kurtuluş Bilim Ödülü . He designed online Turkish learning portals under national projects and developed cultural immersion programs for Serbian students. His publications analyze Turkish language teaching methods across 18 countries and address writing skill challenges for Syrian and Bosnian learners.

Stefana ParaschoView profile

Assistant Professor

• Digital Fabrication
• Robotic Construction
• Sustainable Architecture
• +3 more

Stefana Parascho serves as Tenure Track Assistant Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC), specifically in the Institute of Architecture (IA). She leads the Laboratory for Creative Computation (CRCL) and concurrently heads the Diversity Office at ENAC, demonstrating dual commitments to technological innovation and institutional equity. Her research pioneers intersections of digital fabrication, robotics, and sustainable architecture, with particular focus on transforming construction waste into valuable resources. Through computational design and robotic assembly, she develops novel methodologies for upcycling concrete rubble and timber into structurally sound building components, directly addressing circular economy challenges in construction. Her work bridges theoretical frameworks with physical prototyping, emphasizing human-robot collaboration and material reintegration. Analysis of her recent publications reveals a cohesive trajectory toward waste valorization through digital processes, with concrete rubble masonry and timber reuse forming the core technical pillars. These investigations consistently integrate robotic fabrication, structural validation, and circular design principles across 15+ publications since 2023, establishing new paradigms for resource-efficient construction. As an academic advisor, she supervises four PhD candidates (Grangeot Maxence, Skevaki Eleni Maria, Vallat Gabriel Rémi, Wang Jingwen) while contributing to architectural education through courses like "Digital design and making: A critical introduction" that merge technical skill development with theoretical critique. Her leadership extends to the ENAC Teaching Committee and institutional diversity initiatives, reflecting comprehensive engagement with academic community development. Her operational base at CRCL (https://crcl.epfl.ch) provides the technical infrastructure for robotic experimentation, while her Diversity Office role (https://www.epfl.ch/schools/enac/about/diversity-office/) demonstrates parallel commitment to inclusive academic environments. This dual focus positions her at the forefront of both technological innovation and cultural transformation within architectural academia.

• Transfer Learning
• Recommender Systems
• Medical Imaging
• +3 more

Honghui Du serves as a Research Fellow at the Insight Centre for Data Analytics, a leading Irish research institution specializing in data science with nodes across multiple universities. The role centers within the Decision Making research group, focusing on algorithmic solutions for dynamic environments. Research spans transfer learning in non-stationary data streams , recommender systems (notably news personalization using LLMs and diffusion models), and medical imaging under label scarcity. Key emphases include handling concept drift, optimizing active learning for medical diagnostics, and developing generative approaches for user-item interaction modeling. Emerging work explores gamification for sustainable behavior change and entity resolution via language models. Recent publications (2023-2025) reveal accelerating integration of diffusion models and transformers into recommendation frameworks, while maintaining core expertise in transfer learning for evolving data streams. Medical imaging research increasingly addresses practical constraints like limited annotations through adaptive curriculum strategies. The work operates within the Decision Making research group at the Insight Centre, which investigates algorithmic decision processes under uncertainty and dynamic conditions.

Haiyang ChaoView profile

Associate Professor

• Unmanned Aircraft Systems (UAS)
• Control Systems Engineering
• Remote Sensing
• +4 more

Haiyang Chao is an Associate Professor at the Department of Aerospace Engineering, College of Engineering, University of Kansas. His research focuses on Unmanned Aircraft Systems (UAS) with emphasis on control systems, wind estimation, remote sensing, and cooperative UAV operations. Recent work includes FireCrowdSensing for prescribed fire monitoring Wake vortex hazard estimation for airport UAS operations Thermal imaging for fire spread measurement Vertical wind velocity analysis in fire plumes System identification techniques for flying-wing UAVs Honors include the 2016 Summer Faculty Fellowship at Air Force Research Lab. He leads the Cooperative Unmanned Systems Lab (CUSL) and collaborates with NASA on gust sensing projects. Teaching interests include Avionics, Control Systems, and Autonomous Aerospace Vehicles.

Ravikumar BhimasinguView profile

Professor

• Computer-aided power system analysis
• Renewable energy integration
• AI applications in power systems
• +5 more

Ravikumar Bhimasingu is a Professor at the Indian Institute of Technology Hyderabad , Department of Electrical Engineering. His work focuses on advanced power system analysis and control strategies for renewable energy integration. Research Interests : Computer-aided power system analysis, AI applications for power systems, microgrid control, power electronics, renewable energy integration Lab : Leads research activities in power systems and renewable energy Scientific Contributions : With over 72 publications, his recent work explores: Grid-forming inverters and predictive control techniques Fault location algorithms using synchrophasor data Virtual inertia and transient stability improvements Advanced EV charging systems with power quality enhancements

Aydin NassehiView profile

Professor

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +3 more

Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +12 more

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

Toni SusinView profile

Associate Professor

• Numerical Methods
• Physically-Based Simulation
• Computer Graphics
• +4 more

Toni Susin is an Associate Professor of Applied Mathematics at UPC-BarcelonaTech. He leads the Dynamic Simulation Lab, part of the ViRVIG research group in Barcelona. His research focuses on numerical methods, physically-based simulation, and applications in computer graphics and biomechanics. Key research areas include Physically-Based Animation Surgical Simulation Biomechanical Applications Image-Based Modeling Fluid Animation Techniques His recent work spans microbiome data analysis, sports performance tracking, and biomedical simulations. While no scientific awards are listed, his career includes founding three tech companies and mentoring numerous PhD/Master's students in computational methods and simulation technologies.

• Human-Computer Interaction
• Interaction Design
• User Interface Design
• +4 more

Tomoko Hashida is a Professor at Waseda University's School of Fundamental Science and Engineering , where she explores the intersection of Human-Computer Interaction , Interactive Media , and Speculative Design . Her work bridges art , technology , and psychological insight , focusing on interfaces that challenge conventional human-environment relationships. Education: PhD in Interdisciplinary Information Studies (The University of Tokyo), MSc in Interdisciplinary Information Studies (The University of Tokyo), BA in Musicology (Tokyo University of the Arts) Hashida's research centers on redefining interaction through systems that reveal hidden aspects of familiar environments. Key projects include: Floatio : Levitating tangible interfaces rapoptosis : Self-destructive prototyping Photochromic Sculpture : Light-reactive 3D displays Peaflet : Personalized museum souvenirs atmoRefractor : Heat haze-controlled spatial visuals Her publications across ACM , SIGGRAPH , and Virtual Reality Society of Japan journals demonstrate a commitment to innovative display technologies and human-centric design . Awards like the Funai Academic Award and Entertainment Computing Best Paper recognize her contributions to interactive experiences . She has contributed to 15 major publications between 2015-2019, spanning disciplines from computer science to art-science synthesis .

Lotten WiréhnView profile

Lecturer

• Climate Change
• Climate Adaptation
• Human-Natural Systems
• +5 more

Lotten Wiréhn is a Lecturer at Linköping University's Department of Theme (TEMA) , specializing in Theme Environmental Change (TEMAM) . Her research focuses on the intersections between climate change, human-natural systems, and sustainable development, with a particular emphasis on creating actionable climate information through Climate services Visualization tools Contextual relevance Decision-making support Her work spans diverse domains including Swedish agricultural adaptation , urban heat management , and climate aid in East Africa . She develops methodologies for climate risk assessment and innovative tools like the interactive Norrköping's Decision Arena to enhance climate adaptation dialogues and data interpretation. Current projects include BRIGHT : Strengthening urban heat adaptation in Swedish cities Decision support : Customized climate indicators for forestry and agriculture CSPR : Climate policy research for global impact

Ruzica PiskacView profile

Professor

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +4 more

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

Ricardo A. CorreiaView profile

Researcher

• Biodiversity Conservation
• Conservation Biology
• Environmental Science
• +5 more

Ricardo A. Correia is a Grant-Aided Researcher at the Department of Geosciences and Geography, University of Helsinki, with a Docentship in Helsinki Lab of Interdisciplinary Conservation Science. His work bridges biodiversity conservation, digital data science, and human-nature relationships. PhD in Environmental Sciences (2015) from University of East Anglia MSc in Conservation Biology (2008) from University of Lisbon BSc in Environmental Biology (2007) from University of Lisbon His research focuses on biocultural conservation , invasive species dynamics , and digital data applications (social media, Google Trends) for ecological monitoring. He explores the intersection of mental health and biodiversity through One Health frameworks and advocates for equitable conservation policies using culturomics and AI. Notable scientific outputs include 2025 publications on conservation flagships, biophobias, and AI applications. His 2024 work analyzed charisma in conservation, political vulnerability of parks, and social media sentiment mapping. Best Poster Award (2009) Editorial Board, Journal of Biogeography (2020–) Editor, Conservation Biology Journal (2020) Correia leads projects like the 2022–2022 Biocultural Approach for Neglected Biodiversity (Finnish Academy) and contributes to global biodiversity frameworks through social media analysis and digital monitoring tools like gtrendsAPI .