جست‌وجوی استاد و پژوهشگر

Stefan Walzelمشاهده پروفایل

پژوهشگر

• Corporate Social Responsibility (CSR)
• Commercialization of Sport
• Sustainable Development Goals (SDG)
• +۳ مورد دیگر

Dr. Stefan Walzel is a researcher at the Institute of Sport Economics and Sport Management (Section Sports Business Administration) at German Sport University Cologne. With a PhD in Sport Science (2010) and a diploma in Sport Economics, he focuses on Corporate Social Responsibility (CSR) in sports, commercialization impacts, and UN Sustainable Development Goals (SDGs) . His work intersects sport studies , organizational ethics , and sustainability frameworks . PhD in Sport Science (German Sport University Cologne, 2010) Diploma in Sport Economics (German Sport University Cologne, 2005) Student exchange at Victoria University of Technology (Melbourne, 2004-2005) Studies in Business Administration (Distance Learning University Hagen, Humboldt University Berlin, 1997-2002) His research explores CSR implementation in sports, governance practices, and sustainability challenges in major sporting events. Projects include CSR-Score Card and co-hosting event sustainability analysis , with findings published in journals and anthologies. Recent works address ethical sponsorship strategies and SDG alignment. Notable scientific awards include the EASM Distinguished Service Award (2022) . He serves on editorial boards and academic councils, with over 74 publications and 8 projects. Collaborations span researchers like Sebastian Uhrich, Kirstin Hallmann, and Christoph Breuer. He actively contributes to international sports policy discussions and industry knowledge transfer.

• Data Integration
• Data Quality
• Recommender Systems
• +۵ مورد دیگر

Assoc Prof Henry Nguyen is an Associate Professor at Griffith University's School of Information and Communication Technology, with expertise in data integration, data quality, recommender systems, and big data visualization. He directs the Responsible Big Data Lab and has secured over $3.5M in funding since 2015 from ARC, DFAT, and industry partners. PhD & Master's from EPFL, Switzerland ARC DECRA Award (2020) His research focuses on privacy-preserving AI for social data , IoT , and satellite analytics , with over 200 publications in top venues like SIGMOD, KDD, and IEEE TKDE. Recent work spans federated learning , graph neural networks , and secure AI systems . Article trends highlight 2024-2025 publications on: Federated recommendation security On-device AI optimization Privacy-preserving explainable AI Graph condensation techniques LLM-powered risk analysis Cloud-edge collaboration Scientific contributions include ARC DECRA Award 2020 Multiple senior PC roles in A* conferences Citations in International AI Safety Report 2025 Henry Nguyen supervises 12 active PhD/MSc students and has directed 8 completed doctoral theses . His funded projects include collaborations with Ubitech , KARI , and CSIRO , focusing on Australia-Korea partnerships and responsible AI development.

Kerstin Raudonatمشاهده پروفایل

پژوهشگر

• Gender and Technology
• Human-Computer Interaction
• Diversity in Computing
• +۵ مورد دیگر

Dr. Kerstin Raudonat is a researcher at the Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin. She has been working at the 'Computer Science and Society' chair since September 2022, focusing on the intersection of technology, gender, and society. Her research spans multiple domains including human-computer interaction, media education, and digital game culture, with particular emphasis on creating more inclusive technological environments. Dr. Raudonat's research interests center on gender equity in technology development, examining how societal biases manifest in IT systems and how to break cycles of discrimination in software design. Her work explores the complex relationships between technology and social structures, with special attention to how digital environments can be designed to promote diversity and inclusion. She investigates these issues through multiple lenses including practice theory, cyberfeminism, and participatory design methodologies, seeking practical approaches to make technology development more socially responsible. Her recent publications reveal a consistent trajectory examining gender dynamics in technology, with increasing focus on AI systems and their societal impacts. The research shows evolution from analyzing gaming cultures and communication patterns to addressing systemic biases in contemporary AI technologies. Her work demonstrates strong interdisciplinary connections between computer science, sociology, gender studies, and media education, reflecting a comprehensive approach to understanding technology's role in society. Dr. Raudonat has been actively involved in multiple significant research projects funded by the German Federal Ministry of Education and Research, including: KIRA (2021-2024): Developing AI-based matching for vocational training with gender sensitivity considerations IT&me (2017-2020): Creating multimedia knowledge resources for women in IT fields Gender-UseIT (2013-2014): Establishing a network for interdisciplinary research on gender perspectives in human-computer interaction VIT3A : International virtual teaching and collaboration initiatives Her research has been conducted in collaboration with multiple institutions including Fraunhofer IAO, Hochschule Heilbronn, and Vietnamese-German University, demonstrating strong national and international research partnerships. Dr. Raudonat's work contributes significantly to understanding how technology can be developed in more socially responsible ways that promote equity and inclusion.

Baochun Liمشاهده پروفایل

استاد

• Cloud Computing
• Distributed Systems
• Federated Learning
• +۱۰ مورد دیگر

Baochun Li is a Professor and Associate Chair, Research at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto , with a cross-appointment to the Department of Computer Science. He holds the Bell Canada Endowed Chair in Computer Engineering since 2005. Education: B.Engr. from Tsinghua University (1995), M.S. and Ph.D. from University of Illinois at Urbana-Champaign (1997, 2000) His research interests span cloud computing , distributed systems (including federated learning), security and privacy , and networking , often integrating control theory , game theory , and network coding into practical systems. Recent work focuses on asynchronous federated learning , secure mechanisms for UAV teams , and transformer-based distributed inference . His 15 most recent publications emphasize federated learning , security in distributed systems , and transformer optimization , reflecting trends in large language models and edge computing . Awards and Recognitions: IEEE Fellow (2014) IEEE INFOCOM Achievement Award (2024) Fellow of the Canadian Academy of Engineering (2023) University of Toronto McLean Award (2009) He has contributed extensively to teaching , including launching the first Canadian university course on Rust programming in Fall 2024 and receiving a Departmental Teaching Award (2011). As a professional service leader , he has chaired major conferences like IEEE INFOCOM and IEEE ICDCS.

Christine Von Renesseمشاهده پروفایل

استاد

• Mathematics Education
• Inquiry-Based Learning
• STEM Education Reform
• +۳ مورد دیگر

Christine von Renesse is a Professor in the Department of Mathematics at Westfield State University. She specializes in inquiry-based learning and integrates interdisciplinary connections (e.g., games, music, dance, arts) into her teaching, particularly in Mathematics for Liberal Arts courses. As a passionate advocate for STEM education reform, she co-leads the NE-COMMIT initiative and facilitates professional development workshops for K-12 and higher education faculty. Her work extends to graduate program coordination and institutional committees like Writing Across the Curriculum (WAC). Education: PhD in Mathematics (2007), University of Massachusetts Amherst M.Ed in Mathematics (2002), Technical University, Berlin Diplom in Mathematics (2001), Technical University, Berlin Her research focuses on enhancing mathematical understanding through open inquiry, with a strong emphasis on curiosity-driven pedagogy and accessibility. She has authored numerous publications on inquiry-based teaching, including collaborations on the COMMIT Network and the Discovering the Art of Mathematics project. Her NSF-funded work bridges faculty collaboration and STEM education transformation, supported by her leadership roles in initiatives like STEM-ACT. Prof. von Renesse actively contributes to academic service as a PRIMUS board member, graduate advisor, and coordinator of mathematics education programs. Her interdisciplinary approach spans from salsa dancing to proof-writing, aiming to make mathematics engaging and relevant across diverse fields.

Neil Garrettمشاهده پروفایل

استادیار

• Cognitive Psychology
• Decision-Making
• Belief Updating
• +۷ مورد دیگر

Neil Garrett is a Research Lecturer (Assistant Professor) in the Psychology Department at the University of East Anglia, where he is also a Visiting Lecturer and member of the Cognition, Action and Perception and Social Cognition Research Groups. He is actively involved in research and accepts PhD students, indicating ongoing academic engagement. Research Lecturer, Psychology Department, University of East Anglia Visiting Lecturer, School of Psychology, UEA Member, Cognition, Action and Perception Research Group Member, Social Cognition Research Group Neil Garrett's research focuses on how beliefs and motivation emerge from learning processes. He employs computational modeling, neuroimaging, behavioral experiments, online games, and economic theory to understand decision-making and its neurobiological basis. His work spans cognitive and affective neuroscience, with applications in clinical disorders such as depression and schizophrenia. His recent publications reveal a strong emphasis on belief updating, optimism bias, decision heuristics, and neural mechanisms of motivation. Articles span journals like Nature Communications , eLife , and Journal of Neuroscience , reflecting interdisciplinary and high-impact research. Topics include biased belief updating, foraging decisions, habenula-insular circuits, and computational psychiatry, indicating a cohesive research program in cognitive-affective neuroscience. Sir Henry Wellcome Research Fellow UCL IMPACT Scholar in Experimental Psychology Published in Nature Neuroscience , Nature Communications , eLife , PNAS Contributor to Aeon Magazine , The Conversation , and NBC Garrett has led research projects funded by the Wellcome Trust and British Academy, focusing on information sharing motivations and neural mechanisms in clinical disorders. He collaborates widely, particularly with Tali Sharot, and has advised or co-authored with multiple early-career researchers. He is active in academic dissemination, having spoken at the Pavlovian Society conference. His lab investigates cognitive and neural mechanisms of belief and decision-making, likely involving computational and behavioral methodologies.

• Program Verification
• Proof Engineering
• Formal Methods
• +۴ مورد دیگر

Karl Palmskog is a Lecturer at KTH Royal Institute of Technology in the Division of Theoretical Computer Science and the STEP research group. His work focuses on program verification and proof engineering, with particular emphasis on developing techniques and tools based on proof assistants for constructing functionally correct and secure software systems. Palmskog received his Ph.D. in Computer Science in 2014 from KTH, advised by Mads Dam, and his M.Sc. in Computer Science and Engineering from KTH in 2007. Prior to his current position, he was a postdoc at The University of Texas at Austin and University of Illinois at Urbana-Champaign. His research interests span programming languages, software engineering, and formal verification, with a particular focus on developing techniques and tools based on proof assistants. He is an avid user of the Coq proof assistant for both proving and programming, often complemented by OCaml, and also utilizes HOL4 and other ML family dialects. His work bridges theoretical foundations with practical applications, particularly in the domains of blockchain systems, distributed systems, and automotive software verification. Analysis of his recent publications reveals a strong focus on Coq-based verification, with significant contributions to proof engineering tools and methodologies. His work includes developing tools for regression proving, change impact analysis, mutation testing for Coq projects, and lemma name suggestion using deep learning. There's also a growing trend toward applying formal methods to real-world systems like blockchain protocols and automotive software. Palmskog has been involved in several research projects, including Coq-community Proof Engineering and Distributed Components. His past projects include Trustfull (SSF), Model-based Event Driven Scalable Programming for the Mobile Cloud (NSF), Highly Adaptable and Trustworthy Software (EU FP7), and 4WARD Future Internet (EU FP7). As an educator, Palmskog has served as examiner, course responsible, teacher, and assistant for various courses including Algorithms, Data Structures and Complexity; Degree Projects; Game Theory; Parallel and Distributed Computing; and Programming Paradigms. His work on Chip, a Coq formalization of change impact analysis, demonstrates his commitment to creating practical, certified tools that bridge formal methods with software engineering practice.

Sebastian Steinمشاهده پروفایل

استاد

• Citizen-Centric Artificial Intelligence Systems
• Multi-Agent Systems
• Mechanism Design
• +۷ مورد دیگر

Professor Sebastian Stein is a faculty member in the Electronics and Computer Science department at the University of Southampton, specializing in artificial intelligence and multi-agent systems. He holds a PhD from the University of Southampton (2008) and an MEng in Computer Science from the University of Warwick. His research focuses on citizen-centric AI, mechanism design, and applications in smart energy, transportation, and disaster response. He leads or collaborates on projects such as the EPSRC-funded 'Citizen-Centric Artificial Intelligence Systems' and 'Future Electric Vehicle Energy networks supporting Renewables (FEVER)'. Education: PhD in Multi-Agent Systems (University of Southampton, 2008), MEng Computer Science (University of Warwick) Research Groups: Agents, Interaction and Complexity research group His work emphasizes incentive engineering in dynamic systems, sequential decision-making under uncertainty, and societal challenges like smart mobility and electric vehicle infrastructure. Key awards include the Blue Sky Ideas Award (AAMAS-2021) and Best Demonstration Award (AAMAS 2025). He currently supervises multiple PhD students in computer science and engineering.

Noah Glaserمشاهده پروفایل

استادیار

• Virtual Reality and Game Design
• Neurodiversity
• STEAM Education
• +۳ مورد دیگر

Noah Glaser is an Assistant Professor at the University of Missouri’s School of Information Science & Learning Technologies, where he directs the Information Experience Lab. He holds a PhD in Instructional Design and Technology from the University of Cincinnati. His research focuses on leveraging cutting-edge technologies like virtual reality (VR), video games, artificial intelligence (AI), and mobile devices to design inclusive educational interventions, particularly for neurodiverse populations and individuals with disabilities. Key projects include NSF-funded initiatives such as uSucceed (VR/AI-driven cybersecurity curriculum for neurodiverse learners) and Gaming4Good (computational thinking education via Nintendo’s Game Builder Garage). He also develops The Things Left Behind , a video game celebrating neurodivergent experiences, and leads Mizzou Cloud DevOps , advancing cloud computing training for scientific communities. Glaser’s expertise spans mixed-reality learning environments, formal/informal STEAM education, and AI applications in education. His work emphasizes participatory design involving neurodivergent users, resulting in over 30 peer-reviewed publications and frequent conference presentations. He actively mentors students interested in game development, extended reality (XR), and AI. His interdisciplinary collaborations bridge instructional design, neuroscience, and technology, with a focus on promoting equity in STEM education. Notable grants include multiple NSF awards supporting his research into inclusive technologies. His lab develops tools like the Museum of Instructional Design (3D virtual learning environment) and Maria Martinez VR training program for autistic adults. Glaser advocates for universal design principles in online education and has explored emerging technologies such as ChatGPT’s educational potential and VR’s impact on environmental attitudes.

Jinghui Chengمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Software Engineering
• User-Centered Design
• +۳ مورد دیگر

Jinghui Cheng is an Associate Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal . He holds a PhD in Computer Science from DePaul University (2017), preceded by an MSE and BSE from Xi’an Jiaotong University, China. His research uniquely bridges Human-Computer Interaction (HCI) with Software Engineering , focusing on technologies that support domain experts with specialized information needs. Awards : Canada Research Chair Tier 2 in User Experience Design of Data-Driven Systems His recent work examines playful AI interactions (e.g., ChatGPT), designer-developer collaboration , and privacy motivation in UI/UX. He actively supervises PhD and Master’s students in the HCD Lab , with over 20 completed theses. Collaborations span institutions like the École Polytechnique and partnerships with researchers such as Jin L. C. Guo and Bram Adams . Cheng’s 15 most recent publications (2023-2025) reflect trends in AI-assisted design , usability in open-source communities , and ethical technology development . His grants include the AUDACE grant (2020) co-led with Dr. Gabrielle Pagé, focusing on healthcare applications.

Rafał Weronمشاهده پروفایل

استاد

• Forecasting
• Agent-based modeling
• Computational economics
• +۴ مورد دیگر

Rafał Weron is a Full Professor at Wrocław University of Science and Technology, where he has held leadership roles since 2015, including Head of the Department of Operations Research and Business Intelligence and Chairman of the Scientific Discipline Council for Management and Quality Sciences. His expertise spans electricity price forecasting, computational economics, and risk management, with significant contributions to probabilistic forecasting methods. As a globally recognized scholar, he has received prestigious awards such as the Hugo Steinhaus Prize (2018) and the Tao Hong Award (2017). Key Affiliations : Wrocław University of Science and Technology; Polish Academy of Sciences (Statistics and Econometrics Committee); Polish Mathematical Society. Research Trends: Weron's work focuses on electricity price forecasting, leveraging machine learning and statistical models to enhance accuracy and reliability. His publications emphasize probabilistic forecasting frameworks, quantile regression, and hybrid modeling techniques, reflecting a commitment to methodological rigor and practical applications in energy markets. Scientific Awards: Top 1% globally ranked economist (IDEAS/RePEc, 2013-2022) World's Top 2% Most Widely Cited Scientist (2019-2021) 'Hugo Steinhaus' Prize (2018) Tao Hong Award (2017) Emerald Citation of Excellence (2017) Minister of Science & Higher Education Prize (2016) Commission of National Education Medal (2016)

Ulysses Senguptaمشاهده پروفایل

استاد

• Architecture
• Urbanism
• Complexity Science
• +۱۴ مورد دیگر

Professor Ulysses Sengupta is a leading academic and practitioner in architecture and urbanism at the Manchester School of Architecture , where he holds the Professor of Architecture and Urbanism title. He is the founding director of the [CPU]lab (Complexity Planning and Urbanism Research Laboratory) and leads the [CPU]ai master’s design atelier, which integrates data-driven design and computational thinking into architectural education. His work bridges academic research, pedagogy, and practice through Softgrid Limited , an internationally networked architecture and urban research firm. Founding director of [CPU]lab Leader of [CPU]ai atelier Director of Softgrid Limited International collaborations with institutions like the Architectural Association and University of Westminster Research Interests focus on cities as complex adaptive systems, utilizing big data, IoT, and machine learning to address urban sustainability and governance. Key themes include: Smart cities and digital urban disruption Agile governance and participatory planning Complexity-based design methodologies Global South urbanism and resource-limited settings Interdisciplinary tools for urban data analysis Eco-architecture and futureproofing urban systems Articles highlight his work on urban data analysis, mobility-as-a-service, transdisciplinary systems mapping, and the intersection of social/environmental justice in smart cities. His Google Scholar profile reflects a consistent focus on computational urbanism and sustainable transformation frameworks. Scientific Awards include shortlisting for the Colvin Prize (2025), a prestigious honor in architectural research. His projects span ESRC, H2020, and Innovate UK grants, including leadership in the DACAS network and Synchronicity EU initiative. Professional Contributions encompass advisory roles for international organizations like RIBA, policy briefs for the United Nations University, and design competitions in China, India, and the UK. His [CPU]ai atelier redefines architectural education through computational complexity.

• Regulatory genomics
• Gene regulatory networks
• Computational biology
• +۷ مورد دیگر

Stein Aerts is a full professor at the Faculty of Medicine of KU Leuven and head of the Laboratory for Computational Biology (VIB-KU Leuven). He is affiliated with multiple institutes including VIB.AI Center for AI & Computational Biology, the Leuven Brain Institute, Leuven.AI, LIMNI, LISCO, and the Leuven Cancer Institute. He also serves on the Faculty Council of Medicine and departmental boards. Research Focus: Regulatory genomics and gene regulatory networks Single-cell transcriptomics and epigenomics Deep learning for genomics and enhancer design Neurodevelopmental genomics and evolution Cancer genomics and synthetic biology Comparative genomics across species (Drosophila, octopus, mammals, birds) His recent work emphasizes using AI-driven approaches to decode enhancer logic, model cell-type-specific gene regulation, and understand brain evolution. He leads multiple large-scale projects funded through 2029–2030, including SpaceTimeOmics and enhancer-targeted glioblastoma modeling. Scientific Output: Aerts has a prolific publication record with over 15 high-impact papers in 2024–2025 alone, including in Science , Cell Genomics , Nature Reviews Bioengineering , and eLife . His work spans methodological advances (e.g., HyDrop, CREsted, GAME) and biological discoveries in enhancer function, cell-type evolution, and neurodegeneration models. Institutional Roles & Collaborations: Principal investigator in 10+ active grants (2024–2030) Founder and head of the Computational Biology Laboratory at VIB-KU Leuven Member of steering committees for HPC curriculum and bioinformatics POC Active collaborator across European and international consortia

Emanuela Marchettiمشاهده پروفایل

دانشیار

• STEAM Education
• Computational Thinking
• Educational Technology
• +۳ مورد دیگر

Emanuela Marchetti is an Associate Professor at the Department of Mathematics and Computer Science , University of Southern Denmark. Her work bridges STEAM education, computational thinking, and playful learning methodologies. Key research areas: Data Privacy in Education, Human-Robot Interaction, Transmedia Literacy Projects: Taxonomies (2025), SPADATAS Handbook (2025), LabSTEM (2020-2022) Research Interests focus on integrating creativity into STEM through art-science collaborations, as seen in the Taxonomies project. Her recent work explores GDPR education via game design, AI's role in co-creative learning, and social robotics for welfare contexts. Publication Trends show interdisciplinary exploration of data fragility, digital tools for education, and ethical technology design. Articles span computational thinking through card games, AI emotion-based assessment, and GDPR gamification. Contact: emanuela@sdu.dk | Phone: 65 50 10 36

• Federated Learning
• Distributed Intelligence
• Complex Systems
• +۳ مورد دیگر

Mickaël Bettinelli is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. He holds a PhD in Computer Science (Distributed Artificial Intelligence) from Université Grenoble Alpes and previously worked as a postdoctoral researcher at the University of Oulu's Center for Ubiquitous Computing under the EU Horizon 2020 Fractal project. Current research focuses on federated learning and distributed systems resilience Developed DonatelloPyzza, an educational Python gridworld game Active reviewer for journals/conferences including IEEE Transactions and AAMAS His research bridges federated learning, multi-agent systems, and collective intelligence, emphasizing societal impact through sustainable technological solutions and science popularization via his French YouTube channel DonatelloPyzza . Publications span topics like decentralized decision-making and bias mitigation frameworks. Scientific Awards Prix 'Coup de coeur', Concours Conter et Rencontrer les Sciences 2024 Best Paper Award at JFSMA 2021