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David J. MooreView profile

Professor

• Neuropsychology
• HIV Neurobehavioral Research
• Neurocognitive Disorders
• +5 more

David J. Moore, Ph.D., is a licensed clinical psychologist and Professor of Psychiatry at UC San Diego Health. He co-directs the SDSU/UCSD Joint Doctoral Program (JDP) in Clinical Psychology and leads research at the HIV Neurobehavioral Research Program (HNRP). His work focuses on neurocognitive impairments in individuals with HIV, comorbid mental illness, and substance use disorders, with a special emphasis on technological interventions for medication adherence. Doctorate: Ph.D. in Clinical Psychology (SDSU/UCSD JDP, neuropsychology specialization) Postdoctoral Fellowship: UCSD (serious mental illness) Clinical Internship: West Los Angeles VA Dr. Moore’s research addresses: Neurocognitive complications of HIV infection Intersection of HIV and aging Technological interventions for medication adherence Impact of comorbid psychiatric/substance use disorders on functioning His publications span topics including HIV neurocognitive profiles, syndemic factors in sexual risk behavior, and aging with HIV. Current studies integrate metabolomics, neuroimaging, and behavioral data through NIH-funded grants.

Panagiota AntonopoulouView profile

Professor

• Sports Communication
• Political Communication
• Media Studies
• +6 more

Panagiota Antonopoulou is a Professor at the University of Peloponnese , affiliated with the Faculty of Human Movement Sciences and Quality of Life and the Department of Sports Organization & Management . Her work bridges media studies , political communication , and sports management , with a focus on place branding and digital media impacts . Education: Doctoral degree in Sociology from Panteion University (dissertation: The role of television in national elections , Grade: Excellent) Research interests include: Sports, media, and political communication interactions Place branding through ultra-distance events like Spartathlon Crisis management in sports organizations Sustainable tourism and urban identity (e.g., Piraeus, Sparta) Strategic HRM in sports events and facilities Recent publications highlight: Algorithmic journalism in sports reporting (2018) Media's role in shaping perceptions of sports violence (2012–2017) Place branding strategies for regional development (2017) Evolution of Greek sports press and radio (2008–2012) She teaches courses such as: "Sports Journalism and Media" (2015–present) "Tourism Politics and Strategy" (2015–present) "Communication and Writing Skills" (2010–present)

Abdullah MueenView profile

Professor

• Temporal Data Mining
• Blockchain Data Mining
• Social Media Mining
• +5 more

Abdullah Mueen is a Professor and Associate Chair in the Department of Computer Science at the University of New Mexico (UNM), where he has been since 2013. Previously, he worked as a Scientist in the Cloud and Information Sciences Lab at Microsoft Corporation. Research Interests : His work focuses on Temporal Data Mining , with emphasis on efficiency , interactivity , and interpretability . Key areas include Blockchain Data Mining (e.g., BitLink for Bitcoin cluster analysis), Seismic Data Mining (e.g., PAW for aftershock detection), and Social Media Mining (e.g., DeBot for Twitter bot detection). Article Trends : His recent publications span four domains: Seismology : Algorithms for earthquake data analysis (e.g., focal depth inference, aftershock classification). Blockchain : Temporal linkage of Bitcoin addresses (BitLink) and cryptocurrency fraud detection. Traffic Safety : Multi-LiDAR data fusion for real-time road safety monitoring. Time Series Methods : Innovations like MASS similarity search and DAMP anomaly detection for massive datasets. Scientific Awards : ACM SIGKDD Test-of-Time Award (2022) UNM Provost Research Leader Award UNM School of Engineering Junior Faculty Research Excellence Award KDD 2012 Doctoral Dissertation Contest Runner-Up KDD 2012 Best Paper Award Advising and Grants : He has mentored 11 PhD students now employed at institutions like Microsoft, Meta, and Lawrence Livermore National Lab. His research is funded by NSF , NIH , DARPA , AFRL , NEC , Exxon , Microsoft , and LANL .

Morteza GhorbaniView profile

Researcher

• Environmental Engineering
• Fluid Mechanics
• Nanotechnology
• +3 more

Dr. Morteza Ghorbani is a researcher and faculty member at Sabancı University's Faculty of Engineering and Natural Sciences (FENS), specializing in fluid mechanics and environmental engineering. He leads the AquaCav project, a collaborative effort with Oxford Brookes University, focused on developing sustainable water treatment solutions using hydrodynamic and acoustic cavitation. His research addresses global challenges such as PFAS pollution and wastewater management, with applications in biomedical devices and energy-efficient technologies. Key collaborations include projects funded by the International Science Partnership Fund (ISPF), leveraging his expertise in microfluidic systems and cavitation dynamics. Dr. Ghorbani's work combines experimental and numerical methods to optimize cavitation-based processes for environmental and biomedical applications. His contributions span from fundamental fluid dynamics studies to applied technologies like flexible cystoscopes and clot-on-a-chip platforms. Scientific achievements include the ISPF Research Collaboration Grant (2024) and advancements in PFAS removal, graphene exfoliation, and microalgae cultivation. His research group at Sabancı University explores interdisciplinary solutions at the intersection of engineering, nanotechnology, and sustainability.

Anupam JoshiView profile

Professor

• Networked Computing
• Intelligent Systems
• Cybersecurity
• +6 more

Anupam Joshi is the Acting Dean of the College of Information Technology and Engineering and Oros Family Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He also directs UMBC’s Center for Cybersecurity and leads the National Cybersecurity FFRDC for the University System of Maryland. His research focuses on networked computing, AI-driven cybersecurity, privacy-preserving technologies, and policy-driven security frameworks. He holds a Ph.D. in Computer Science from Purdue University (1993), an M.S. (1991), and a B.Tech in Electrical Engineering from the Indian Institute of Technology, Delhi (1989). Dr. Joshi’s work spans over 400 publications with 32,650+ citations (h-index 92) and nine patents. His grants include funding from NSF, DARPA, NASA, NIST, and industry partners like IBM and Northrop Grumman. Key contributions include developing CAPD frameworks for IoT security, FABULA for automated threat intelligence, and KiNETGAN for intrusion detection through synthetic data. He is an IEEE Fellow and pioneer in applying AI to secure critical infrastructure, smart grids, and healthcare systems. His research trends emphasize AI-empowered cybersecurity, privacy compliance in data sharing (e.g., agriculture, healthcare), and mitigating attacks on smart systems. Notable projects include combating fake cybersecurity reports using provenance analysis, securing EV charging infrastructure, and enhancing smart farming resilience through policy-driven access control. Awards: IEEE Fellow Grants: Over $30M from NSF, DoD, NASA, and industry collaborations Labs/Teams: Director of UMBC Center for Cybersecurity, Cybersecurity Knowledge Graph initiatives Future work includes advancing neurosymbolic AI for cybersecurity, semantic data extraction from scientific literature, and AI ethics in healthcare applications.

Dong LiView profile

Assistant Professor

• Wireless Sensing
• Mobile Computing
• Wearable Sensing
• +4 more

Dong Li is an Assistant Professor in the Department of Computer Science and Electrical Engineering (CSEE) at the University of Maryland, Baltimore County (UMBC). His research focuses on wireless sensing, mobile computing, wearable sensing, multi-modal sensing, and smart health, aiming to develop affordable and accessible technologies to address healthcare equity and environmental sustainability challenges. He holds a PhD from the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, an M.Eng. in Software Engineering from Shanghai Jiao Tong University, and a B.S. in Computer Science from the University of Electronic Science and Technology of China. His work has been published in prestigious venues such as MobiCom, SenSys, IPSN, UbiComp, and HotNets. Key research themes include anomaly detection via knowledge graphs, privacy prediction models for social networks, and interactive recommendation systems. His interdisciplinary approach integrates machine learning, data mining, and cybersecurity to tackle real-world problems in health and environmental sustainability. Dr. Li’s contributions span theoretical advancements and practical system development, with a focus on bridging the gap between cutting-edge research and societal impact. His recent publications highlight innovations in data stream processing, weak supervision frameworks, and privacy behavior analysis in online platforms.

Yanhua LiView profile

Associate Professor

• Artificial Intelligence
• Spatial-Temporal Data Science
• Smart Cities
• +5 more

Yanhua Li is an Associate Professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute (WPI), where he has served since 2021 (previously as Assistant Professor from 2015-2021). He is also an affiliated researcher at UMass Transportation Center (UMTC). His educational background includes dual PhDs: Computer Science from University of Minnesota, Twin Cities (2013) and Electrical Engineering from Beijing University of Posts and Telecommunications (2009), along with an MS (2006) and BS (2003) in Electrical Engineering from Sichuan University. Dr. Li's research focuses on artificial intelligence and spatial-temporal data science with applications in smart cities and urban intelligence. His work particularly emphasizes imitation learning and meta learning in AI for understanding and influencing urban human agents' decision-making strategies, such as taxi drivers' passenger-seeking behaviors and urban travelers' transit choices. His laboratory develops advanced computational methods for urban transportation systems, traffic prediction, and spatial-temporal data analytics. His publication record shows a strong trajectory in top AI and data science venues, with recent work bridging foundation models with urban computing, enhancing robustness in spatial-temporal representation learning, and applying generative models to urban traffic estimation. His research spans computer vision, reinforcement learning, generative modeling, and spatio-temporal data analysis with applications in transportation, environmental monitoring, and urban planning. Best Applied Data Science Paper Award at SDM 2019 NSF CAREER Award (2020) Runner-up for the 10-Year Impact Award for SIGSPATIAL Conference (2024, for 2014 paper) Dr. Li has secured significant research funding including an NSF CAREER award ($529k), multiple NSF grants totaling over $2 million, and industry collaborations with DiDi Chuxing Research. He has advised numerous PhD students who have gone on to faculty positions at institutions like San Diego State University and SUNY Binghamton University. His research group maintains active collaborations with industry partners including DiDi Chuxing, Pitney Bowes Inc., and NVIDIA. He leads several research initiatives including the CityLines project for urban transportation systems and has contributed to foundational work in spatial-temporal imitation learning. His laboratory continues to expand into new areas including applying large language models to urban dynamics prediction and developing advanced methods for environmental monitoring.

Zhiru SunView profile

Associate Professor

• Learning Analytics
• Digital Humanities
• AI in Education
• +5 more

Zhiru Sun is an Associate Professor at the University of Southern Denmark, affiliated with the Department of Design, Media and Educational Science. Their research focuses on the intersection of education, humanities, and data science, with expertise in Learning Analytics (LA), Digital Humanities (DH), and AI applications in education and humanities. Sun holds a Ph.D. in Educational Technology from The Ohio State University (2011–2015), alongside advanced degrees in Applied Statistics and Cultural Foundations of Technology. Key research interests include student motivation and performance analysis, historical data mining in DH, and human-centered AI in education. They have received notable awards such as the Outstanding Proposal Award (2021) and the Loadman Outstanding Dissertation Award (2016). Sun leads projects like 'Empowering Humanities Education with Deep Learning' and 'Flipped Classroom Design for Self-Regulation.' Their work spans collaborative learning algorithms, flipped classroom efficacy, and generative AI policy analysis in education. Educations: Ph.D. in Educational Technology, M.Sc. in Applied Statistics, and M.Sc. in Cultural Foundations (all from The Ohio State University) Key Projects: FREI: The Danish Family Revolution, DH Visualization Tools Teaching: Courses include Digital Humanities, Data Science, and Web-mediated Communication Recent publications address learner empowerment in online environments, negotiation skills in collaborative games, and group formation algorithms for optimal learning outcomes.

• Biomedical Informatics
• Health Informatics
• Artificial Intelligence
• +7 more

Zhe He is a Full Professor at Florida State University (FSU), leading the eHealth Lab in the School of Information (iSchool) within the College of Communication & Information. He holds courtesy appointments in the Department of Behavioral Sciences and Social Medicine (College of Medicine), Department of Computer Science, and Department of Statistics. His research focuses on biomedical informatics, AI, and big data analytics, aiming to improve population health and advance biomedical research through informatics applications. He directs the Institute for Successful Longevity and co-leads the Biostatistics, Informatics, and Research Design Program (BIRD) of the UF-FSU Clinical and Translational Science Award. Education: Postdoctoral training at Columbia University (2015), PhD in Computer Science from NJIT (2014), MS from Columbia University (2009), and BE from Beijing University of Posts and Telecommunications (2007). Research Interests: Clinical trial generalizability, ontology quality assurance, consumer health informatics, and AI in medicine. His work bridges biomedical terminologies, patient engagement, and healthcare equity, with a focus on older adults and underserved populations. Grants & Funding: Over $21.9M in grants from NIH (NLM, NIA, NIMH), AHRQ, Amazon, NVIDIA, and Eli Lilly. Active grants include projects on medical marijuana effects, AI-driven clinical training, HIV prevention, and lab result interpretation tools for older adults. Awards & Honors: 2022 Lois Lunin Award (ASIS&T), FAMIA (2022), two AMIA Distinguished Paper Awards, and recognition for interdisciplinary research. Promoted to Full Professor in 2025 after early tenure as Associate Professor (2020). Labs & Teams: Directs the eHealth Lab and collaborates with跨学科 teams in the OneFlorida Data Trust, UF-FSU Clinical and Translational Science Award, and the National Center for Biotechnology Information (during sabbatical).

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +6 more

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

Angelina WangView profile

Assistant Professor

• Machine Learning Fairness
• Algorithmic Bias
• Responsible AI
• +3 more

Angelina Wang is an incoming Assistant Professor at Cornell Tech and the Department of Information Science at Cornell University, starting Fall 2025. Her research focuses on responsible AI, particularly machine learning fairness and algorithmic bias. She holds a Ph.D. in Computer Science from Princeton University and a B.S. in Electrical Engineering and Computer Science from UC Berkeley. Current postdoctoral work at Stanford’s HAI and RegLab explores sociotechnical challenges in AI deployment. Her research addresses fairness evaluation in generative AI, societal impacts of AI systems, and ethical trade-offs in algorithm design. Notable awards include the NSF GRFP, Siebel Scholarship, and Microsoft AI & Society Fellowship. Her work bridges technical and social dimensions of AI, emphasizing human-centered evaluation and interdisciplinary collaboration. Recent publications span medical AI applications (e.g., Alzheimer’s subphenotypes, corticosteroid treatment efficacy) and foundational fairness research. She advocates for proactive ethical considerations in technical work, citing examples like surveillance risks in facial recognition and dataset biases in computer vision. Angelina advises prospective PhD students in Cornell’s Information Science program and collaborates on projects like SciDaSynth for scientific knowledge synthesis. Her advocacy includes challenging fairness impossibility theorems and promoting algorithmic pluralism in auditing practices.

Sonit BafnaView profile

Associate Professor

• Architectural Morphology
• Space Syntax
• Behavior and Perception
• +5 more

Sonit Bafna is an Associate Professor and Director of the Ph.D. Program in Architecture at the Georgia Institute of Technology's College of Design. He holds a Ph.D. from Georgia Tech (2002), an SMArchS from MIT (1993), and a professional degree in Architecture fromCEPT University (1990). His research bridges empirical studies on space-human interaction and critical architectural theory, focusing on morphology, behavior, perception, and aesthetics. Key research areas include home layout's impact on mental health (e.g., reduced depression risk in living-area-centered apartments), workplace design's role in employee wellbeing, and the relationship between spatial configuration and cognitive abilities. His work is funded by organizations like the General Services Administration and Kaiser Permanente. Bafna supervises doctoral research in morphology, design theory, and cognitive studies. Current projects include a book on imaginative reasoning in architecture and studies on hospital corridor design and film spatial analysis. His courses cover architectural theory, design analysis, and research methods. Notable contributions include interdisciplinary studies on space syntax, the therapeutic potential of domestic environments, and the visual functioning of buildings. His research emphasizes the socio-cultural dimensions of architecture and its imaginative potential beyond functionalism.

• Decision Intelligence
• Strategic Management
• International Management
• +5 more

Dr. Roger Moser is a Senior Lecturer at Macquarie University's Department of Management Innovation, Strategy and Entrepreneurship Research Centre. He also holds adjunct roles at the Indian Institute of Management Udaipur (since 2012) and the University of St. Gallen (since 2012). His research focuses on Decision Intelligence, Strategic Management, and International Management, particularly exploring how executives leverage data (small/big) to enhance decision-making frameworks. He has over 99 publications since 2005, with notable works in journals like Journal of Service Research and Journal of Business Research . Dr. Moser holds a Dr. rer. pol. from EBS European Business School (2006) and a lic. oec. HSG (MSc) from the University of St. Gallen (2003). His research interests include Decision Model Innovation, Social Capital in emerging markets, and strategic alignment in supply chains. He has conducted impactful studies on access-based services in India, supplier integration in China's automotive sector, and humanitarian logistics using satellite data. His recent work emphasizes technology integration in B2B value creation, decision frameworks for uncertainty reduction (e.g., in agriculture and disaster management), and AI-driven expert systems. He has presented at global forums on topics like digital transformation and decision intelligence applications, contributing to both academic and practitioner discourse. External Roles: Adjunct Professor of Business Policy, Indian Institute of Management Udaipur Titularprofessor / Permanent Lecturer, University of St. Gallen Notable impacts include a project providing clean drinking water in India through access-based solutions, recognized for quality-of-life and societal contributions. His research has been cited over 1,666 times with an h-index of 21.

Laura MarusterView profile

Assistant Professor

• Process Mining
• Process Modelling
• Healthcare Networks
• +5 more

Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.

• IoT Systems
• Data Quality
• Fog Analytics
• +7 more

John Byabazaire is a Research Fellow at the School of Computer Science, University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2024), following a BSc (Gulu University, 2013) and MSc (Waterford Institute of Technology, 2018). His research focuses on IoT systems for data collection, remote sensing, AI-driven end-to-end system management, and fog analytics. He has held academic roles including Assistant Lecturer at Gulu University (2018–2019) and teaching roles at UCD since 2019, including Occasional Lecturer and Senior Teaching Assistant. His research spans smart agriculture, data quality in IoT, and education technology. Notable contributions include frameworks for yield mapping in precision agriculture, trust-based data validation in IoT, and machine learning approaches for livestock health monitoring. He has secured grants like the National ICT Initiatives Support Program (Uganda Government, 2019–2020). Teaching includes courses on cloud computing, web development, and distributed systems. His articles emphasize IoT data quality, agricultural analytics, and educational technology innovation. He actively promotes technology adoption in African education and agriculture sectors through collaborative projects.