جست‌وجوی استاد و پژوهشگر

Wajih Ul Hassanمشاهده پروفایل

استادیار

• Cybersecurity
• System Intrusion Detection
• Data Provenance Techniques
• +۴ مورد دیگر

Wajih Ul Hassan is an Assistant Professor of Computer Science at the University of Virginia (UVA), affiliated with the School of Data Science. He leads the DART Lab, focusing on system intrusion detection, forensic investigation, and cybersecurity through machine learning and data provenance techniques. His research has earned prestigious awards including the NSF CAREER Award (2024) and Symantec Research Labs Graduate Fellowship. Dr. Hassan holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2021). He has collaborated with NEC Labs and Symantec Research Labs to integrate defensive strategies into commercial security products. His work emphasizes practical solutions for networked systems and scalable security mechanisms. He teaches courses such as CS 6501: Machine Learning in Systems Security, CS 4630: Defense Against the Dark Arts, and DS 6559: Machine Learning in Systems and Network Security. His research interests span intrusion detection, provenance analytics, and automated threat response, with over 20 peer-reviewed publications since 2017. Award Highlights: NSF CAREER Award (2024) ACM SIGSOFT Distinguished Paper Award Young Researcher at Heidelberg Laureate Forum Service Activities: He has served on program committees for top-tier conferences (e.g., IEEE S&P, ACM CCS) since 2018 and reviewed grants for the NSF and Commonwealth Cyber Initiative. Labs & Teams: The DART Lab at UVA focuses on advancing enterprise security through data-driven approaches. Dr. Hassan actively recruits students for research projects in cybersecurity and systems security.

Nadine Andrewمشاهده پروفایل

دانشیار

• Data linkage
• Stroke
• Chronic Disease Prevention and Management
• +۵ مورد دیگر

Associate Professor Nadine Andrew is an Associate Professor (Research) in the Department of Medicine at Monash University's School of Translational Medicine. She leads the National Centre for Healthy Ageing Data Platform and chairs the Monash HELIX data linkage committee. With expertise in data linkage and health services research, her work focuses on chronic diseases of aging, stroke, and dementia. She has secured over $12M in grants and leads projects like the NHMRC-funded PRECISE stroke study and a MRFF digital health initiative for aged care transfers. Her team includes experts in epidemiology, data science, and bioinformatics. Education: PhD in Epidemiology, Master’s in Public Health, clinical background in Physiotherapy. Research Interests: Data linkage methodologies, stroke epidemiology, chronic disease management, digital health solutions for aging populations. She pioneers national data platforms and co-designs patient-centered care systems. Grants & Projects: $2M MRFF grant for digital health in aged care, NHMRC PRECISE project, boosting dementia grant. Active in 20+ collaborative initiatives including national stroke data integration and vulnerable population cohort studies. Awards: 2024 Australian Epidemiological Association Award, 2021 American Heart Association Reviewer Award, NHMRC Early Career Fellowship (2014). Labs/Teams: Directs the National Centre for Healthy Ageing Data Platform and oversees multidisciplinary research teams advancing EHR data utilization.

Ara Norenzayanمشاهده پروفایل

استاد

• Cultural Evolution
• Religious Diversity
• Cooperation and Conflict
• +۴ مورد دیگر

Dr. Ara Norenzayan is a Professor and Distinguished University Scholar at the University of British Columbia's Department of Psychology, within the Faculty of Arts. He holds a PhD in Psychology from the University of Michigan (1999). His research focuses on cultural and religious diversity, cultural evolution, cooperation, supernatural beliefs, and human-nature interactions. He co-directs UBC’s Centre for Human Evolution, Cognition, and Culture (HECC). Education: PhD in Psychology, University of Michigan, 1999 Research Interests: Cultural and religious diversity, moral systems, sacred values, and cognitive science. His work bridges evolutionary theory and cultural psychology, exploring how beliefs like 'Big Gods' influence cooperation and conflict. Recent research includes ecospirituality and environmental ethics. Notable Awards: Distinguished University Scholar (2023) Royal Society of Canada Fellow (2020) Society for Personality and Social Psychology’s Daniel M. Wegner Prize (2017) Advising & Grants: Advised numerous students (listed above). Grants include Cattell Sabbatical (2014–2015) and Killam Faculty Research Prize (2008). His lab explores religion, cognition, and cultural evolution, with global fieldwork. Labs/Teams: Co-leads the Evolution of Religion and Morality Project, involving cross-cultural collaboration across 15 societies. His lab includes graduate students and alumni in global academic institutions.

Zhumin Chenمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Big Data Processing
• +۷ مورد دیگر

Zhumin Chen is a Professor and Associate Dean at the School of Artificial Intelligence, Shandong University. He serves as a member of multiple committees including the Natural Language Processing Committee of China Computer Federation (CCF) and holds leadership roles in research institutions like the Qingdao Key Laboratory of Big Data Technology Innovation. His research focuses on natural language processing, artificial intelligence, and big data, with a strong emphasis on large language models, healthcare applications, and recommendation systems. He has secured over 30 major grants including National Key Research and Development Programs and has published extensively in top venues like ACL, SIGIR, and NeurIPS. His work has been recognized with awards such as the SIGIR 2024 Best Paper Honorable Mention and the Shandong Science and Technology Progress First Prize. He leads the development of large-scale AI models and platforms, including the Shanda Intelligent Assistant, which supports teaching and research across the university. Dr. Chen collaborates with institutions like Microsoft Research Asia and Purdue University, and has co-founded multiple industry partnerships with companies such as Inspur and Hisense. His academic services include reviewing for top conferences (SIGIR, WWW, ACL) and journals, and he actively mentors students through doctoral and master’s programs.

Dave Bussiereمشاهده پروفایل

دانشیار

• Consumer Behaviour
• Internet Behaviour
• Marketing Strategy
• +۳ مورد دیگر

Dave Bussiere is an Associate Professor and Area Chair in Marketing at the Odette School of Business, University of Windsor. He holds a Ph.D. in Marketing from the University of the West of England/Bristol (2005), and prior degrees from Wilfrid Laurier University. His research focuses on consumer behavior, internet behavior, marketing strategy, and word-of-mouth marketing. He has held visiting professorships at AGH University in Poland and the Warrington School of Business at the University of Florida. Notably, he has received multiple teaching awards, including the 'Undergraduate Marketing Professor of the Year' from the Odette Commerce Society and the 'MBA Professor of the Year' from the MBA Society. Dr. Bussiere’s research spans consumer website behavior, humor in marketing, and big data applications. He has published in journals like Marketing Education Review and Journal of Promotion Management , and presented at conferences such as the American Marketing Association and the Marketing Science Institute. His work emphasizes practical applications, such as forensic marketing methodologies and strategies for knowledge-based enterprises. Professional service includes roles as Assistant Provost for Admissions and Recruitment, and Director of Graduate Programs at the University of Windsor. He is a frequent presenter on topics like consumer ethics, viral marketing, and longitudinal study methodologies. His contributions to academia are further highlighted by his editorial work in consumer research and his engagement with industry through Garage Door News, where he has been a publisher since 1991.

• Computer Science
• Electrical Engineering
• Signal Processing
• +۳ مورد دیگر

Guo Li is affiliated with the Beijing Institute of Technology, School of Management and Economics. Their research spans computer vision, optimization algorithms, signal processing, and machine learning. Collaborations include work on image super-resolution, sensor networks, and energy systems. Publications are distributed across journals like Comput. Electron. Agric. , IEEE Trans. Circuits Syst. , and Entropy . Research interests focus on computational methods for image processing, algorithm design, and interdisciplinary applications in agriculture and energy. Recent work emphasizes lightweight neural network architectures, sparrow search algorithms, and thermodynamic modeling in materials science. Notable contributions include advancements in citrus fruit detection, fatigue life assessment of superalloys, and load forecasting techniques. Active in international conferences such as CVPR, ICC, and NSDI, with a strong publication record since 1998.

George Hripcsakمشاهده پروفایل

استاد

• Biomedical Informatics
• Electronic Health Records (EHRs)
• Data Mining
• +۴ مورد دیگر

George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts

Lara Urbanمشاهده پروفایل

استاد پژوهشی

• Molecular Biology
• Artificial Intelligence
• Environmental Health
• +۳ مورد دیگر

Dr. Lara Urban is a Principal Investigator at Helmholtz Munich and Helmholtz AI, and a TUM Junior Fellow at the Technical University of Munich's Life Sciences School. Her research integrates genomics and artificial intelligence to address One Health challenges, focusing on environmental health, biodiversity conservation, and pathogen surveillance. She holds a PhD from EMBL-EBI and the University of Cambridge (2019) and Master's degrees from Julius-Maximilians-University of Würzburg (2015). Her work leverages portable genomic technologies for real-time data analysis in clinical, environmental, and conservation contexts. Key areas include studying bioaerosols, pathogen detection, and genomic diversity in endangered species like the kākāpō. Awards include the Young Scientist of the Year 2022 and Humboldt Research Fellowship. Her team has published on nanopore sequencing applications, antibiotic resistance, and conservation genomics. Collaborations span institutions like the University of Zurich and ETH Zurich, funded by EU Horizon Europe, BMBF, and Helmholtz grants. Current initiatives include fieldwork in Chile and advancing genomic equity through democratized tools.

Simon Jossمشاهده پروفایل

استاد

• Urban Futures
• Sustainable Urban Development
• Urban Technologies
• +۴ مورد دیگر

Simon Joss is Professor of Urban Futures and Head of Urban Studies at the School of Social and Political Sciences, University of Glasgow. He holds a biology degree from the University of Bern and a PhD in technology policy from Imperial College London. Previously at the University of Westminster, he directed the Centre for the Study of Democracy and co-founded the International Eco-Cities Initiative. His research focuses on sustainable urban development, smart cities, and urban governance. He is associate director of the ESRC-funded Urban Big Data Centre and has advised bodies like the Wellcome Trust and the BSI Smart Cities Committee. Research interests include urban futures, eco-cities, policy analysis, and the governance of urban innovation. Recent work critiques smart city models, explores post-pandemic urban data use, and examines global sustainable urban frameworks. He has authored over 50 publications on urban sustainability and co-edited key texts like Sustainable Cities: Governing for Urban Innovation (2015). Recent grants include ESRC funding for Urban Big Data governance (2019-2023) and Leverhulme support for international eco-city comparisons. Supervised eight PhDs to completion, with current projects addressing migrant communities in Glasgow, tourism governance, and urban cycling cultures. Teaching focuses on sustainable urban futures, research methods, and urban data governance.

Tarek Alskaifمشاهده پروفایل

دانشیار

• Energy Informatics
• Smart Grids
• Artificial Intelligence
• +۹ مورد دیگر

Dr. Tarek Alskaif is an Associate Professor of Energy Informatics at Wageningen University & Research, specializing in the intersection of information technology and energy systems. He leads research on smart energy systems, focusing on electricity markets, distributed energy resources, and AI-driven solutions. His work integrates modeling, optimization, and big data analytics to advance the sustainable energy transition. Education: PhD in Energy Informatics (2012–2016, Cum Laude) from Universitat Politècnica de Catalunya, Spain. Postdoc at Utrecht University’s Copernicus Institute (2016–2020). Current roles include coordinating the BSc Data Science Minor and teaching Python and Big Data courses. Research interests emphasize leveraging digitalization for energy systems, including smart grids, electric mobility, and battery storage. Notable projects include HighLO Energy Markets (EU-funded, using particle physics and AI for market transparency) and MESSM (coordinated via TKI Urban Energy). He also leads the AI ELSA Lab (NWO-funded). Editorial roles include Associate Editor for IEEE Transactions on Smart Grid and IEEE Power Engineering Letters . Member of IEEE, the Netherlands Institute for Research on ICT (4TU.NIRICT), and the Technical Program Committee for IEEE SmartGridComm and PSCC 2026. Has supervised over 50 students (MSc/BSc) and 7 PhDs. Projects address challenges like grid congestion, EV charging optimization, and decentralized energy trading. His work bridges academic research with industry collaborations, including partnerships with CERN and ACER.

Janki Bhimaniمشاهده پروفایل

استاد

• Emerging Memories
• Flash-Based Storage Systems
• Machine Learning
• +۷ مورد دیگر

Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.

Deng Xiaotieمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Internet Economics
• Parallel Computing
• +۱ مورد دیگر

Xiaotie Deng is a distinguished academic and Chair Professor at Peking University (since 2018), with prior roles at Shanghai Jiao Tong University (2013–2017), the University of Liverpool (2010–2013), and City University of Hong Kong (1997–2013). His research focuses on algorithmic game theory, internet economics, and parallel computing. He holds prestigious fellowships including ACM Fellow (2008) and IEEE Fellow (2019). Deng has led significant grants, including a RMB 5M project on algorithmic game theory at Peking University (2018–2020) and NNSFC-funded research on market competitiveness and fairness (2018–2020). Education: PhD in Computer Science from Stanford University (1989), MSc from Chinese Academy of Sciences (1984), BSc from Tsinghua University (1982). Research interests span computational game theory, equilibrium analysis, and blockchain applications. Notable contributions include foundational work on Nash equilibrium complexity and mechanism design for resource allocation. He has advised numerous PhD students and serves on editorial boards of top journals like SIAM Journal on Computing and IEEE Transactions on Cloud Computing. Key awards: ACM and IEEE Fellowships, JSPS Invitation Fellowships (2005, 1996), and NSERC International Fellowship (1991). Active in conference organizing, including PC chairs for WINE 2020 and SAGT 2018. Consultancy includes work with Cryptape, Ant Financial, and Microsoft Research Asia, reflecting his industry engagement in algorithmic solutions and blockchain technologies.

Vagelis Papalexakisمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Vagelis Papalexakis is an Associate Professor and Ross Family Chair in the Computer Science & Engineering Department at the University of California, Riverside. His research focuses on data science, machine learning, and tensor methods, with applications in multi-aspect/multi-modal data analysis. He holds a Ph.D. from Carnegie Mellon University and a Diploma/M.Sc. from the Technical University of Crete. Affiliations: Ross Family Chair, Bourns College of Engineering, UCR Education: Ph.D. in Computer Science, Carnegie Mellon University M.Sc./Diploma in Electronic & Computer Engineering, Technical University of Crete His work emphasizes interpretable insights from complex datasets, including tensor-based defenses against adversarial attacks, graph representation learning, and scalable algorithms for high-dimensional data. Notable awards include the NSF CAREER Award (2021), IEEE DSAA Next Generation Award (2021), and ICDM Tao Li Award (2022). Grants include NSF funding for railway safety (CISE MSI: RPEP CPS), USDOT transportation research, and NVIDIA GPU grants. He leads projects in AI ethics, misinformation detection, and gravitational wave analysis. His lab collaborates with industry (e.g., Cisco, Instacart) and national labs (e.g., Lawrence Livermore).

Yi Buمشاهده پروفایل

استادیار

• Data Science
• Informatics
• Scholarly Big Data
• +۶ مورد دیگر

Yi Bu is an Assistant Professor in Data Science at the Department of Information Management, Peking University, China. Previously, he was a Research Fellow at Northwestern University's Center for Science of Science and Innovation, Kellogg School of Management, and the Northwestern Institute on Complex Systems. He holds a B.Mngt. in Information Management and Systems from Peking University, an M.S. in Data Science, and a Ph.D. in Informatics from Indiana University Bloomington. His research focuses on three core areas: (1) knowledge integration/production/diffusion via complex systems modeling (e.g., configuration models, percolation theory), (2) evidence-based science policy using causal inference methods (e.g., difference-in-differences, instrumental variables), and (3) scholarly publishing entities/behaviors through machine learning/deep learning analysis of knowledge embedding spaces. He has led projects funded by China's National Science Foundation, Ministry of Education, and industry partners. Yi serves on editorial boards for journals including Annual Review of Information Science and Technology , Scientometrics , and Journal of Data and Information Science , and is Associate Editor-in-Chief of Editing Practice . His work addresses global scientific ecosystem challenges such as interdisciplinarity, gender/race equity in science, funding allocation strategies, and scholarly attention inequality.

• Natural and Artificial Lighting
• Solar Energy (Passive and Active)
• Building Technology
• +۳ مورد دیگر

Jean-Louis Scartezzini is an Honorary Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Solar Energy and Building Physics Laboratory (LESO-PB). His research focuses on natural/artificial lighting, solar energy systems, and building technology, with a strong emphasis on energy efficiency and sustainability. Director of LESO-PB since 1994 Founded and led several institutes, including the Institute for Infrastructure, Resources, and Environment (2002–2009) Doctorat in Physics from EPFL (1986) Extensive international collaborations, including visiting roles at NUS (2009) and LBNL/UCLA (1988) Research interests include: - Daylighting and lighting control systems - Passive/active solar technologies - Urban microclimate and energy systems - Stochastic simulation and predictive control Recent work addresses climate change impacts on energy systems, urban sustainability, and machine learning applications in energy optimization. Key publications span lighting health impacts, renewable integration, and microclimate modeling Awards include the European Solar Prize (2001/2002) and Walsh-Weston Bronze Medal (1998) Mentored over 20 PhD students, many leading in academia and industry (e.g., Marilyne Andersen at EPFL, Flavio Foradini at E4Tech).