جست‌وجوی استاد و پژوهشگر

• Intelligent Transportation Systems
• Automated Vehicles
• Control Systems
• +۶ مورد دیگر

Lingxi Li is a Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University's Indianapolis campus. His research focuses on modeling complex systems, connected and automated vehicles, intelligent transportation systems, and parallel intelligence. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2008), and master's and bachelor's degrees from the Chinese Academy of Sciences (2003) and Tsinghua University (2000). Research Interests: Dr. Li's work bridges control systems, transportation engineering, and AI, with emphasis on human-machine interaction, autonomous vehicle systems, and scenario-based traffic modeling. His projects include developing frameworks for Industry 5.0 collaboration, enhancing traffic flow prediction through parallel learning, and advancing safety in micro-mobility systems like e-scooters. Recent Publications: Over 15+ articles (2023-2025) explore topics such as game-theoretic vehicle interaction modeling, vision-language systems for autonomous driving, and acoustic SLAM technologies. These studies reflect a focus on real-world validation and system integration in smart transportation. Labs & Initiatives: Leads research in autonomous mining systems and scenario engineering for intelligent vehicles, leveraging parallel intelligence concepts. Collaborates on projects like ParallelWorkforce (Industry 5.0 frameworks) and SceNDD++ (naturalistic driving datasets).

• Information Systems Methodologies
• Artificial Intelligence
• Agent Systems
• +۸ مورد دیگر

Prof Ghassan Beydoun is a Professor and Head of Discipline (Information Systems) at the School of Computer Science, University of Technology Sydney (UTS). He leads the Information Systems discipline and is affiliated with the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). His research focuses on AI-driven systems, agent-based modelling, ontologies, and disaster management, with notable contributions to knowledge graphs, enterprise architecture, and IoT applications. Beydoun actively supervises Masters and PhD students in these domains. His research interests span metamodelling, agent systems, and AI applications in disaster management (e.g., flood, landslide, and earthquake risk assessment), health systems, and smart infrastructure. He has pioneered frameworks for reproducible machine learning solutions, digital identity systems, and cloud migration strategies. Beydoun’s work integrates interdisciplinary methods, such as bibliometric analysis for journal evolution and XAI for spatial hazard prediction. Recent publications highlight his expertise in AI for climate-induced hazard modelling, agent-based knowledge transfer mechanisms, and metaverse applications in education. His funded projects include AI-powered circular economy initiatives, smart beach safety systems, and health data querying frameworks. Beydoun collaborates with industry partners like CSIRO, Capsicum Business Architects, and Data Zoo, translating research into practical solutions for enterprise architecture, cybersecurity, and public health.

Kejun Huangمشاهده پروفایل

استادیار

• Machine Learning
• Signal Processing
• Optimization
• +۲ مورد دیگر

Kejun Huang is an Assistant Professor in the Department of Computer and Information Science and Engineering at the University of Florida's Herbert Wertheim College of Engineering. His primary research area is Machine Learning, with additional interests in algorithms, computer vision, and data science. He received his Ph.D. in Electrical Engineering from the University of Minnesota in 2016. His research focuses on machine learning, signal processing, optimization, and statistics. Recent work tackles unsupervised learning challenges and AI-powered medical research through NIH-funded projects. Dr. Huang's publications demonstrate consistent focus on optimization techniques for tensor decomposition, dictionary learning identifiability, and nonnegative matrix factorization. Key themes include algorithmic efficiency and theoretical guarantees in machine learning models.

Cathy Wuمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Machine Learning
• Large-scale Optimization
• +۶ مورد دیگر

Cathy Wu is the Class of 1954 Career Development Associate Professor in Civil and Environmental Engineering at MIT, affiliated with the Institute for Data, Systems, and Society (IDSS). Her research bridges machine learning, optimization, and urban systems, with a focus on mixed autonomy systems in mobility. She holds degrees from MIT (B.S., M.Eng in EECS) and a Ph.D. from UC Berkeley (EECS). Education: B.S. and M.Eng in Electrical Engineering and Computer Science, MIT (2012-2013) Ph.D. in Electrical Engineering and Computer Science, UC Berkeley (2018) Research Interests: Reinforcement Learning and Machine Learning Large-scale Optimization and Control Theory Mobility Systems and Urban Infrastructure Implications of AI and Automation Her work emphasizes interdisciplinary collaboration, involving transportation, computer science, and public policy. She founded the Interdisciplinary Research Initiative within the ACM Future of Computing Academy to advance cross-disciplinary computing research. Key Projects: Includes Flow (open-source RL framework for traffic control), eco-driving incentive mechanisms, and mixed autonomy traffic optimization. Her articles address congestion mitigation, autonomous vehicle integration, and scalable supervision strategies. Awards: Recipient of fellowships, best paper awards, and teaching honors (specific names unlisted). Engagement: Collaborations with institutions like Microsoft Research, OpenAI, and Caltrans. Active in policy-oriented initiatives and education through IDSS programs.

Jessica Fishمشاهده پروفایل

دانشیار

• LGBTQ+ Health Equity
• Substance Use
• Mental Health
• +۴ مورد دیگر

Jessica Fish is an Associate Professor in Family Science and Behavioral and Community Health at the University of Maryland School of Public Health. She co-directs the UMD Prevention Research Center and serves as Faculty Affiliate at the Maryland Population Research Center. Her research examines LGBTQ+ health equity with focus on substance use, mental health, and family systems. Dr. Fish's work identifies modifiable factors contributing to health disparities to inform prevention strategies and policies. She holds a Ph.D. in Family and Child Sciences from Florida State University and will accept PhD advisees starting 2025-2026.

• Agricultural Economics
• Food Policy
• Policy Analysis
• +۳ مورد دیگر

Prof. Zoltán Károly Lakner is a Professor at the Hungarian University of Agriculture and Life Sciences, affiliated with the Department of Agricultural and Food Economics. His research focuses on applying dynamic systems theory, econometrics, and artificial intelligence to analyze food supply networks, agricultural policy, and socio-economic systems in Africa and Central Asia. Key areas include big-data modeling of complex systems, game-theory applications, and open-source intelligence tools in innovation policy. He leads the SafeConsume H2020 project, developing strategies to mitigate foodborne illness risks through consumer education and prototype tools. His work spans food policy analysis, climate change impacts on agriculture, and ethical food consumption behaviors. Education details not explicitly provided in text. Research interests emphasize quantitative methods in agricultural economics, econometrics-driven policy analysis, and interdisciplinary approaches to global food challenges. Recent publications explore bioenergy expansion effects, water tax policy implications, and post-Paris Agreement green finance trends. No scientific awards explicitly stated in the text. Grants include the Horizon 2020 SafeConsume project. Active in advising and mentoring, though specific student names are not listed. Affiliated with the Szént István Campus in Gödöllő, contributing to institutional research and policy initiatives.

Terri L. Weaverمشاهده پروفایل

استاد

• Trauma Psychology
• Interpersonal Violence
• Posttraumatic Stress Disorder
• +۳ مورد دیگر

Dr. Terri Weaver is a Professor in the Clinical Psychology Program at Saint Louis University's Department of Psychology. She holds a Ph.D. from Virginia Tech and completed clinical training at Medical University of South Carolina. Her research examines interrelationships between traumatic life events (particularly interpersonal violence) and physical/mental health outcomes, with focus on PTSD, body image disturbances, and depression. Key research areas include: Trauma-informed healthcare approaches Body shame in abuse survivors Cross-cultural manifestations of trauma She directs the Violence and Traumatic Stress Laboratory and teaches graduate/undergraduate courses including Psychopathology, Psychology of Trauma, and Feminist Research Methods. Current projects investigate trauma sequelae in diverse populations including military veterans and marginalized communities. Her publications (2017-2025) explore intimate partner violence, mindfulness interventions, and health disparities. Recent work emphasizes embodied trauma experiences and integrated treatment models.

Israel Orimoloyeمشاهده پروفایل

مدرس

• Remote Sensing
• GIS Applications
• Drought Disaster Management
• +۳ مورد دیگر

Dr. Israel Orimoloye is a Lecturer in the School of Environment, Geography, and Sustainability at Western Michigan University. He holds dual Ph.D. degrees in Disaster Management (University of the Free State, 2022) and Geography (University of Fort Hare, 2018). His research focuses on remote sensing, GIS applications, climate science, and disaster risk management. He has authored over 65 publications and contributed to global policy frameworks through collaborations with institutions in South Africa, Canada, India, and beyond. Education: Ph.D., Disaster Management, University of the Free State (2022) Ph.D., Geography, University of Fort Hare (2018) MTech., Meteorology, Federal University of Technology (2015) BTech., Meteorology, Federal University of Technology (2010) Research Interests: His work integrates Earth Observation (EO) data and climate models to address drought, land degradation, and environmental hazards. Key areas include: Remote sensing for disaster monitoring GIS-driven climate impact assessment Sustainable resource management Community resilience strategies Publications: His 15 most recent articles (2020–2025) emphasize drought assessment, climate adaptation, and participatory risk management. Topics span geospatial modeling, flood dynamics, and policy integration. Grants & Advising: He leads projects funded by the Central Research Fund and collaborates internationally. No listed advisees are currently available. Labs & Teams: Affiliated with WMU's environmental research initiatives, focusing on spatial data science and disaster mitigation.

Waldemar Karwowskiمشاهده پروفایل

استاد

• Human Factors and Ergonomics
• Neuroergonomics
• Human Systems Integration
• +۷ مورد دیگر

Waldemar Karwowski is a Pegasus Professor and Chairman of the Department of Industrial Engineering and Management Systems at the University of Central Florida, USA. He also serves as Executive Director of the Institute for Advanced Systems Engineering. His affiliations include the College of Engineering and Computer Science and multiple international academic roles. He holds a Doctor of Science (dr hab.) in Management Science from Poland, a Ph.D. in Industrial Engineering from Texas Tech University, and three honorary doctorates from universities in Ukraine, Slovakia, and Russia. His research focuses on neuroergonomics, human systems integration, safety engineering, nonlinear dynamics in human-machine systems, and applications of soft computing. He co-edits leading journals including Human Factors and Ergonomics in Manufacturing and Theoretical Issues in Ergonomics Science . Key achievements include Fellowships from HFES, IEA, and the UK's Institute of Ergonomics, and past presidencies of HFES (2007) and the International Ergonomics Association (2000-2003). His work addresses grand challenges in human factors, AI ethics, and healthcare safety culture. Recent research explores EEG-based neuroergonomic metrics, graph neural networks for brain connectivity analysis, and pandemic modeling with nonlinear dynamics. Awards include the Handbook of Human Factors and Ergonomics (5th ed., 2022) co-edited with Gavriel Salvendy. His advisory roles span industry and government, emphasizing systems engineering and human-centered AI integration.

Emanuel Gomesمشاهده پروفایل

استاد

• International Business Strategy
• Mergers and Acquisitions
• Strategic Alliances
• +۴ مورد دیگر

Prof. Emanuel Gomes is Professor of Strategy and International Business at Nova SBE (Universidade Nova de Lisboa) and Academic Director of Executive Education. With a PhD from Coventry University, he researches M&A, strategic alliances, servitization, and international business. Former Associate Dean for Digital Transformation and Deputy Head at Birmingham Business School. Research contributions : Developed frameworks for acquisition partner selection and post-merger integration Pioneered studies on servitization in emerging economies Authored 50+ peer-reviewed articles in top journals including Journal of International Business Studies Industry engagement : Collaborations with Chatham House, UK Trade and Industry, British Embassy Angola, and multinational corporations including MG Motor.

Christine Guoمشاهده پروفایل

مدرس ارشد

• Financial Economics
• Market Microstructure
• Asset Pricing Models
• +۵ مورد دیگر

Dr Christine Guo is a Senior Lecturer at Birkbeck Business School, University of London, with expertise in Financial Economics. She holds a PhD from Imperial College London and has taught at the University of Newcastle. Her research focuses on market microstructure, asset pricing, stochastic differential equations, and inflation targeting. Notably, her paper Constructing Asset Pricing Models with Specific Factor Loadings won the ABACUS Best Paper Award. Dr Guo supervises PhD students and teaches modules like Financial Management (ACCA-accredited) and Introduction to Accounting. She has published extensively in top journals including Abacus , European Journal of Finance , and Pacific Basin Finance Journal . Education: PhD in Economics, Imperial College London MSc in Economics and Financial Economics, University of Nottingham BSc in Economics and Econometrics, University of Nottingham Research Interests: Dr Guo’s work bridges theoretical and applied finance, with emphasis on: - Quantitative financial modeling - Market efficiency and regulatory frameworks - Inflation dynamics and monetary policy - ESG transparency and firm valuation Recent Publications Trends: Her articles analyze market structure (e.g., ETFs, multilateral trading facilities), Chinese financial markets, and ESG impacts. Methodologically, she applies stochastic models and spatial econometrics. Awards: ABACUS Best Paper Award (2012) for groundbreaking asset pricing methodology critiques Supervision & Teaching: Supervised 4 doctoral researchers (e.g., Stella Zhixin Xu on urban sustainability). Teaches BUMN145S5 (Financial Management) and BUMN131H4 (Accounting). Actively engages in PhD mentorship. Labs/Teams: Collaborates with interdisciplinary teams on financial regulation and ESG metrics through her research network.

Kreg Grubenمشاهده پروفایل

استاد

• Biomechanics
• Neuromuscular Coordination
• Human Movement Science
• +۳ مورد دیگر

Kreg Gruben is a Professor at the University of Wisconsin–Madison, affiliated with the School of Education. He leads the Neuromuscular Coordination Laboratory, focusing on biomechanics, motor control, and rehabilitation engineering. His research explores human movement mechanics, postural stability, and neuromuscular adaptation in clinical populations like post-stroke patients. Gruben holds a PhD in Biomedical Engineering from Johns Hopkins University (1993). Key Research Areas: Biomechanics of standing/walking, haptic interfaces, neuromuscular coordination, and force-direction control. Laboratory: Neuromuscular Coordination Laboratory (website linked). His publications span haptic technology, postural control dynamics, and clinical biomechanics applications. Recent work includes studies on hybrid actuators for human-robot interaction and postural stability in autism spectrum disorder. Gruben’s research bridges engineering and clinical science, with implications for rehabilitation therapies and ergonomic design. Advising and Grants: While specific student names or grant details are not listed, his extensive publication record indicates active mentorship in biomedical engineering and kinesiology. Research focuses on translating biomechanical insights into practical rehabilitation solutions.

Anthony D. Ongمشاهده پروفایل

استاد

• Developmental Psychology
• Affective Science
• Behavioral Medicine
• +۷ مورد دیگر

Anthony D. Ong is a Professor of Psychology in the College of Human Ecology at Cornell University and Director of the Center for Integrative Developmental Science and Human Health Labs. He also holds a research appointment at Weill Cornell Medicine as a Professor of Gerontology in Medicine. He earned his Ph.D. in developmental psychology from the University of Southern California and completed postdoctoral training in adult development and aging at the University of Notre Dame. His research focuses on lifespan dynamics of vulnerability and adaptation, integrating perspectives from affective science, developmental psychology, and behavioral medicine. Key themes include positive emotions and health, neurobiological mechanisms of cultural experiences, social determinants of aging, and resilience processes. He is currently on sabbatical for the 2025–2026 academic year. Educational Background Ph.D. in Developmental Psychology, University of Southern California Postdoctoral Training in Adult Development and Aging, University of Notre Dame Research Interests Ong’s work examines how psychological, social, and biological factors interact to influence health and well-being across the lifespan. He investigates topics such as the role of positive emotions in mitigating disease, the impact of social isolation and loneliness in later life, the neurobiology of cultural experiences, and the buffering effects of positive experiences against genetic risks for depression. His studies often employ advanced statistical methods and longitudinal designs to capture dynamic processes. Labs and Collaborations He directs the Human Health Labs and the Center for Integrative Developmental Science, fostering interdisciplinary research on human development and health. His collaborations span institutions like Weill Cornell Medicine, emphasizing translational research in gerontology and behavioral health.

HO Han Kiatمشاهده پروفایل

دانشیار

• Chronic Liver Diseases
• Drug-Induced Liver Injury
• Nanomaterials in Medicine
• +۵ مورد دیگر

A/Prof HO Han Kiat is an Associate Professor in the Department of Pharmacy and Pharmaceutical Sciences at the National University of Singapore. His research focuses on chronic liver disease progression (from fatty liver to cancer) and drug-induced liver injury mechanisms. He explores nanomaterial applications in disease modification and drug delivery, using techniques like high-throughput sequencing and preclinical collaborations with clinicians. His work bridges cancer biology and toxicology, emphasizing clinical relevance through patient sample correlations. He teaches courses such as PR4207 Applied Pharmacokinetics & Toxicokinetics and FSC4203 Forensic Toxicology & Poisons. His lab’s vision involves developing molecular interventions for liver disorders through in vitro/vivo models. Notable interests include nanomaterial toxicity, hepatoprotective strategies, and cytokine profiles in cognitive impairment post-chemotherapy. Recent articles highlight studies on BDNF biomarkers, gold nanoparticle vascular targeting, and therapeutic hypothermia for hepatotoxicity. His research integrates genetic polymorphism analysis (e.g., CYP7A1) with drug metabolism studies, emphasizing personalized medicine approaches. HO’s work also addresses educational innovations in pharmacy curricula and assessment design, reflecting his dual focus on clinical research and pedagogy.

Guanghao Qiمشاهده پروفایل

استادیار

• Statistical Genetics
• Genomics
• Single-cell RNA Sequencing Analysis
• +۳ مورد دیگر

Guanghao Qi is an Assistant Professor in the Department of Biostatistics at the University of Washington. His research focuses on developing statistical and machine learning methods for multi-omics approaches in genetic studies, particularly integrating single-cell RNA-seq, GWAS, and functional genomic data. Key areas include single-cell eQTL analysis, Mendelian randomization, and multi-trait genetic association analyses. Education: PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (2020), BS in Mathematics from Fudan University (2015). Research interests emphasize high-dimensional data analysis, allele-specific expression in single cells, and causal inference using genetic variants. Notable achievements include a 2025 NIH K01 award for developing methods to integrate single-cell eQTL and GWAS data, and the development of the TWiST method for single-cell transcriptome-wide association studies. Recent work highlights advancements in computational tools like SURGE for context-specific genetic regulation analysis, and evaluations of Mendelian randomization methods in studies of type 2 diabetes and cardiovascular disease. His work often bridges computational biology and statistical theory to address challenges in interpreting large-scale genomic datasets. Awards: NIH K01 Award (2025) Key Contributions: TWiST method (2025), SURGE framework (2024), HIPO power optimization (2018) Labs/Teams: Active collaborations in genomic epidemiology and statistical genetics, with a focus on single-cell multi-omics integration and causal inference methodologies.