جستجوی استاد راهنمای دانشگاهی

Elena Barbieriمشاهده پروفایل

استادیار

• Aphasia
• Language Processing
• Cognitive Neuroscience
• +۳ مورد دیگر

Elena Barbieri is a Research Assistant Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine, with dual affiliation at the Mesulam Center for Cognitive Neurology and Alzheimer's Disease. Her interdisciplinary work bridges cognitive neuroscience, clinical neuropsychology, and rehabilitation medicine. Her educational trajectory includes: BS in Cognitive Science from University of Milano-Bicocca (2005) MS in Cognitive Neuroscience from University of Milano-Bicocca (2007) PhD in Cognitive Neuroscience from University of Milano-Bicocca (2012) Postgraduate Training Fellow in Clinical Neuropsychology at Northwestern University (2014) Postdoctoral Fellow in Communication Sciences and Disorders at Northwestern University (2017) Dr. Barbieri's research centers on language-brain relationships with primary focus on aphasia mechanisms and rehabilitation. She investigates both stroke-induced aphasia and Primary Progressive Aphasia (PPA), employing multimodal neuroimaging (structural/functional MRI, PET), electrophysiology (ERP), and noninvasive brain stimulation. Her work examines neural reorganization during recovery, cross-linguistic language processing patterns, and development of culturally adapted assessment tools like the Northwestern Assessment of Verbs and Sentences (NAVS) across Italian, Persian, and German populations. Current projects address TDP-43 pathology progression, virtual reality interventions, and neural mechanisms of syntactic processing in neurodegenerative conditions. Analysis of her 2021-2025 publications reveals strong emphasis on PPA neurobiology, cross-linguistic aphasia rehabilitation, and neural plasticity. Key trends include development of international consensus outcome measures (COS-PPA), investigation of disease-specific progression patterns (TDP-43 pathology), and innovative virtual interventions for dementia-related communication disorders. Her work consistently integrates clinical assessment with advanced neuroimaging to map language network reorganization. Her research excellence is recognized through: Karen Toffler Scholarship for neurodegenerative disease research (2023) Cognitive Neuroscience Society Postdoctoral Fellow Award (2018) Society for Neurobiology of Language Travel Award (2016) Dr. Barbieri serves as Associate Editor for Frontiers in Language Science and maintains active roles in ISTAART and the Academy of Aphasia. Her Mesulam Center affiliation enables collaborative research on cognitive-linguistic deficits in Alzheimer's disease and frontotemporal dementia, with particular focus on developing targeted language interventions for progressive neurodegenerative conditions.

• Media Linguistics
• Ethnomethodological Conversation Analysis
• Human-Machine Interaction
• +۶ مورد دیگر

Tim Moritz Hector is a Research Associate at the University of Siegen since 2020, affiliated with subproject B06. He completed his PhD in Applied Linguistics in April 2024 with a dissertation on voice assistants as conversational participants. His research focuses on media linguistics, ethnomethodological conversation analysis, human-machine interaction, linguistic praxeology, and cultural linguistics. Education: German (linguistics), political science, and educational science (2012–2019) at Münster and Bonn Academic roles: Student assistant (2015–2019), research assistant (2019), and current research associate Research Themes: Hector investigates voice user interfaces, domestication of smart technologies, and interactional practices between humans and AI systems. His work bridges linguistic analysis with digital media studies, focusing on how voice assistants reshape social practices in households. Article Trends: Recent publications emphasize smart speaker domestication , human-machine agency , voice interface practices , sensory smart home systems , and data practices in AI adoption . He explores how voice assistants become embedded in daily routines through linguistic and praxeological frameworks. Academic Affiliations: Member of the Society for Applied Linguistics (GAL) and German Cultural Studies Society (KWG). Former Wikimedia Deutschland e.V. board chair and UNO-Flüchtlingshilfe e.V. supervisory board member. Conference Contributions: Active in conferences like IPrA, Social Interaction, and COST networks. Key presentations include topics on multisensory interaction, invectives in voice technology use, and responsive smart home systems. Collaborations: Co-organized major conferences including Machine–Body–Space (2024) and Voice Assistants in Private Homes (2023) with interdisciplinary teams from Siegen, Bremen, and Brussels.

Jocelyn Alcántara-Garcíaمشاهده پروفایل

دانشیار

• Conservation Science
• Cultural Heritage Materials
• Textile Conservation
• +۵ مورد دیگر

Jocelyn Alcántara-García is an Associate Professor in the Department of Art Conservation at the University of Delaware, with a joint appointment in the Department of Chemistry and Biochemistry since 2023. She specializes in conservation science, focusing on the forensic analysis and preservation of cultural heritage materials, particularly textiles and archival objects. Education: B.S. in Chemistry – National Autonomous University of Mexico (UNAM) Ph.D. in (Inorganic) Chemistry – National Autonomous University of Mexico (UNAM) Postdoctoral Fellowship – Johns Hopkins University (Andrew W. Mellon Postdoctoral Fellow) Conservation Studies – National School of Conservation, Restoration and Museography (ENCRyM) Internship in Polymers – Brno University of Technology, Czech Republic Conservation Science Fellowship – National Museum of Contemporary Art Reina Sofia, Spain Research Focus: Dr. Alcántara-García’s work is deeply interdisciplinary, bridging chemistry, conservation science, and cultural heritage studies. Her research is structured around three core areas: forensic analysis of historical materials, reverse engineering and degradation mechanisms of heritage textiles, and the development of non-destructive techniques for studying cultural artifacts. She also integrates innovative pedagogical approaches to attract and retain students in STEM fields, using cultural heritage as a focal point for teaching chemistry and conservation science. Publications Overview: Her scholarly output reflects a consistent focus on the application of advanced analytical techniques to the study of historical materials. Topics include the non-destructive identification of dyes and pigments, the degradation of copper-based pigments, and the use of spectroscopic and chromatographic methods in conservation science. Her work often involves collaboration with conservators, historians, and scientists, and is published in high-impact journals in the fields of conservation, chemistry, and cultural heritage. Scientific Awards & Honors: Andrew W. Mellon Postdoctoral Fellowship Phi Kappa Phi Honor Society Membership Sigma Xi Scientific Research Society Membership Advising & Mentorship: Dr. Alcántara-García is actively involved in mentoring students across multiple departments and institutions. She works with undergraduate and graduate students in Art Conservation, Chemistry and Biochemistry, and the Winterthur/University of Delaware Program in Art Conservation (WUDPAC). Her mentorship emphasizes interdisciplinary research and hands-on experience with analytical instrumentation in cultural heritage contexts. Labs & Affiliations: She is affiliated with the Winterthur Museum, Garden and Library, where she conducts research and teaches WUDPAC students. She also engages with students and collaborators in Old College and Lamont DuPont/Brown/Drake facilities at the University of Delaware.

Mila N. Koevaمشاهده پروفایل

دانشیار

• Geospatial Technologies
• Digital Twinning
• 3D Urban Modeling
• +۶ مورد دیگر

Mila N. Koeva is a Vice Dean Research and senior Associate Professor at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management. Her research focuses on 3D modeling and Digital Twins for land management and urban planning, integrating geospatial technologies, UAV data, and AI/ML methods. PhD in architectural photogrammetry MSc in Engineering (Geodesy) Research Themes: Digital Twinning for urban ecosystems AI-driven cadastral boundary extraction 3D modeling with LiDAR and satellite data Global partnerships in Rwanda, Kenya, and Ethiopia Interoperability standards for local digital twins Scientific Contributions: Geospatial World Innovation Award 2021 Copernicus Masters Competition (3rd place 2016) Editorial roles in Photogrammetric Records and MDPI journals Keynote speaker at 3D GeoInfo, GI Forum, and FIG events Her educational impact includes developing courses, lecturing, and supervising students whose work has received top awards in The Netherlands and international competitions.

• Communication
• Interactive Media
• Digital Media
• +۱ مورد دیگر

WANG Sai serves as an Assistant Professor in the Department of Interactive Media within the School of Communication at Hong Kong Baptist University, where he contributes to academic instruction and research in interactive digital systems. His contact email is saiwang@hkbu.edu.hk. Professor Wang's scholarly focus centers on Communication and Interactive Media, extending into Digital Media and Human-Computer Interaction. His work examines how emerging technologies reshape user engagement and societal communication patterns, particularly through innovative media platforms and interface design. This research bridges theoretical communication frameworks with practical applications in digital experience design. No scientific awards or honors are referenced in the available documentation. Details regarding graduate student mentorship, external research funding, or collaborative grant projects are not provided in the source material. Information about dedicated research laboratories, technical facilities, or specialized research teams under Professor Wang's leadership is absent from the current records.

• Positron Emission Tomography (PET) Imaging
• Neurochemistry
• Computational Neuroscience
• +۴ مورد دیگر

Professor Evan Morris is a faculty member at Yale School of Medicine in the Radiology and Biomedical Imaging department, with secondary appointments in Biomedical Engineering and Psychiatry. His work combines advanced kinetic modeling and dynamic PET imaging to visualize neurotransmitter dynamics in the brain. PhD in Chemical Engineering from Case Western Reserve University (1991) Postdoctoral fellowship at Massachusetts General Hospital (1995) Morris specializes in creating "dopamine movies" through PET imaging, revealing transient neurochemical fluctuations related to addiction, Parkinson's disease, and stress responses. His group develops novel parametric imaging methods for faster drug discovery and disease biomarker identification. Recent publications focus on: Nonsteady-state PET modeling Stress-induced opioid receptor connectivity Exercise effects on Parkinson's neuropathology EC50 image quantification Scientific recognitions include: Fulbright Senior Scholar (2015) Yale Graduate Mentor of the Year (2013) He serves as Principal Investigator for studies on nicotine addiction and collaborates across Yale's Morris Lab , PET Core , and Neural Disorders programs, advancing applications in Medical Imaging , Neurochemistry , and Biomedical Engineering .

Anton Rozhkovمشاهده پروفایل

استادیار

• Geospatial Tools and Analysis
• Urban Planning
• Data Science for Cities
• +۷ مورد دیگر

Anton Rozhkov is an Industry Assistant Professor and Director of the M.S. in Applied Urban Science and Informatics Program at the Center for Urban Science and Progress (CUSP) at New York University (NYU) Tandon School of Engineering. His work focuses on applying geospatial tools, modeling techniques, and data science to address complex challenges in urban environments, with particular emphasis on infrastructure planning and city design. Dr. Rozhkov earned his Ph.D. in Urban Planning and Policy from the University of Illinois Chicago, where his research centered on decentralized and renewable energy systems in urban contexts through a complex systems approach. Prior to his doctoral studies, he received an M.S./B.S. in Engineering in Land Cadaster from the State University of Land Use Planning in Moscow, Russia, and worked as a senior specialist in the Russian power grid sector with "Rosseti" Group of Companies. His research interests span the application of complex systems, data science, and spatial analytics to solve urban challenges, particularly focusing on how data-driven policies and new technologies can transform infrastructure planning and city design. Dr. Rozhkov employs methods including causal loop diagrams, system dynamics, and agent-based modeling to understand how decentralized energy systems interact with existing power grids and contribute to sustainable urban development. He has published extensively on urban transportation, energy systems, and census data analysis, with a notable focus on Chicago's urban landscape and Illinois state initiatives. Dr. Rozhkov has been actively involved in several significant research projects including an empirical investigation into affordable transit-oriented development in California sponsored by the California State University Transportation Consortium, the Sustainable Urban-Regional Modeling Network project funded by the Illinois Innovation Network, and the Census 2020 Map-The-Count project with the Illinois Department of Human Services which developed predictive models for census response rates and a GIS platform for reporting outreach activities. Ph.D. in Urban Planning and Policy, University of Illinois Chicago M.S./B.S. in Engineering in Land Cadaster, State University of Land Use Planning (Moscow, Russia) His teaching portfolio includes courses on geographic information systems (GIS), advanced spatial analysis, decision modeling, and machine learning for cities. Dr. Rozhkov emphasizes not just understanding urban trends but exploring the "why" behind these trends to develop sustainable solutions. His recent publications (2020-2025) demonstrate a consistent research trajectory examining the complex interrelationships between urban infrastructure systems, particularly focusing on energy, transportation, and spatial patterns through sophisticated analytical methods. Outside of his academic work, Dr. Rozhkov is passionate about urban and landscape photography, traveling, running, snowboarding, and playing guitar. He was born and raised in Balashikha, a city in the Moscow suburbs in Russia, and maintains a gallery of his photographic work from various global locations.

Chu (Ivy) Dangمشاهده پروفایل

استادیار

• quantitative marketing
• economics of information
• consumer search
• +۹ مورد دیگر

Professor Chu (Ivy) Dang is an Assistant Professor of Marketing at the Business School of The University of Hong Kong, where she has been teaching since 2020. Her research focuses on the economics of information in quantitative marketing, examining how consumers search for information, how this information influences their choices, and the information provision strategies of firms in digital environments. Business School, The University of Hong Kong Assistant Professor of Marketing Specializes in consumer behavior in digital contexts Professor Dang received her Ph.D. in Marketing from The Chinese University of Hong Kong, where she also earned an M.S. in Economics. Her undergraduate degree is a B.S. in Applied Physics from Beijing Jiaotong University. Prior to her business studies, she spent two years conducting research in quantum information at RB Liu Lab as a Hong Kong PhD Fellowship Scheme (HKPFS) candidate in physics. Her research spans multiple dimensions of consumer behavior in digital environments, with particular emphasis on consumer search behavior and information economics. She investigates how consumers acquire and process information in online contexts, with applications to social media marketing where she examines the effects of Marketer-Generated Content (MGC), User-Generated Content (UGC), and increasingly, AI-Generated Content (AIGC). Her work on emerging trends in live-commerce and influencer marketing has provided new insights into how these formats reshape consumer decision processes. Analysis of her publications reveals a consistent focus on empirical methods to study information economics, with increasing attention to social media dynamics and emerging e-commerce formats. Professor Dang has secured significant research funding as Principal Investigator, including a General Research Fund grant (#17506824) and an Early Career Scheme grant (#27504221) from the Hong Kong Research Grants Council. She also leads projects funded by the HKU Business School Shenzhen Research Institutes and the HKU Seed Fund for Research. She recently co-organized the 14th Consumer Search and Switching Costs Workshop in Hong Kong in June 2025, demonstrating her leadership in this specialized research area. Her research has been published in top-tier journals including Journal of Marketing Research, Information Systems Research, and Marketing Science. Her teaching portfolio includes Social Media Marketing at both undergraduate and Master's levels, where she brings her cutting-edge research insights into the classroom to prepare students for the rapidly evolving digital marketing landscape. In her personal time, Professor Dang enjoys running, hiking, and spending time with her family.

Patrick S. Marketمشاهده پروفایل

استاد

• Synoptic and Mesoscale Dynamics
• Winter Weather
• Heavy Rainfall
• +۶ مورد دیگر

Dr. Patrick S. Market is a Professor of Atmospheric Science and currently serves as the Director of the School of Natural Resources at the University of Missouri. He also acts as Interim Co-Director of the Missouri Water Center. His research focuses on synoptic and mesoscale dynamics, particularly winter weather, heavy rainfall, flash flooding, and severe local storms. He has contributed to advancements in precipitation efficiency studies and operational forecasting techniques. His work explores the role of artificial intelligence in weather prediction and communication, emphasizing the continued importance of human expertise in an automated forecast process. Dr. Market has secured grants for data stream maintenance and digital equity planning, and he has led educational initiatives integrating research into synoptic meteorology classrooms. Notable collaborations include projects with the National Weather Service and studies on the Ozark Plateau's topographical influence on weather systems.

Pavel P. Kuksaمشاهده پروفایل

دانشگاهی

• Bioinformatics
• Computer Science
• Functional Genomics
• +۵ مورد دیگر

Pavel P. Kuksa is a Research Assistant Professor in the Department of Pathology and Laboratory Medicine, specializing in bioinformatics, computer science, and functional genomics. His work focuses on high-throughput sequencing analysis, chromatin interaction data, and developing scalable software platforms for genomics research.

Alex Richterمشاهده پروفایل

استاد

• Human-AI Collaboration
• The Future of Work
• Digital Humans
• +۱۰ مورد دیگر

Professor Alex Richter is a Professor of Information Systems at the School of Information Management, Victoria University of Wellington, where he also serves as Director of the Executive MBA program and PhD Director. He leads the Digital Work Lab and edits the Digital Work Diaries. With over 150 refereed publications cited more than 11,500 times, Professor Richter is a leading researcher in the field of Information Systems, recently ranked 285th globally among 18,561 researchers in the Information Systems sub-field on the Top 2% Scientists List. Professor Richter's research focuses on how digital technologies transform work to enhance innovation, productivity, and employee satisfaction. His primary areas of interest include Human-AI Collaboration , Digital Work and Innovation , Value-driven design , and The Future of Work . He explores practical applications of human-AI collaboration with global industry partners, identifying use cases, benefits, risks, and enablers of adoption. His conceptual work emphasizes value-driven, context-aware, and adaptive approaches to create meaningful sociotechnical systems. His recent publications demonstrate a strong trend toward understanding the evolving relationship between humans and AI in workplace settings. Professor Richter's work examines trust in generative AI across organizational departments, the transformation of innovation practices through human-AI collaboration, and the implementation challenges of emerging technologies like augmented reality. His research consistently bridges theoretical frameworks with practical applications, focusing on how organizations can effectively integrate AI while maintaining human-centered values. Top 2% Scientists List (2024), ranking 285th globally among 18,561 researchers in Information Systems 'Innovation in Teaching Award' from the Association for Information Systems (2024) Research Fellow (2022) Multiple best paper awards throughout his career Professor Richter actively supervises numerous PhD students working on human-AI collaboration topics, including Carlos Forero, Chloe Latto, Ghazaleh Moqadam, Hedi Bigham Sohanaki, Jingyu Zheng, Mina Sanabadi, Shafiqul Alam, and Yao Zhang. He has successfully led research projects funded by the European Union, national governments, and organizations across Germany, Switzerland, Denmark, Australia, and the USA. His engaged scholarship approach connects academic research with practical industry applications. As Director of the Digital Work Lab, Professor Richter leads a team exploring the future of work in the digital age. The lab investigates how digital technologies transform work practices, with particular focus on hybrid work environments, visibility in digital workplaces, and human-AI collaboration. Through the Digital Work Diaries initiative, the lab documents and analyzes real-world digital work transformations, providing practical insights for organizations navigating digital change.

Hailiang Chenمشاهده پروفایل

استاد

• Artificial Intelligence
• FinTech
• Social Media
• +۸ مورد دیگر

Hailiang Chen serves as Professor in Innovation and Information Management, Assistant Dean (Taught Postgraduate), and Director of the Artificial Intelligence Research Institute at HKU Business School, The University of Hong Kong. His academic journey includes a PhD and MS from Purdue University and a BM from Tsinghua University. Doctoral Degree: Management Information Systems, Purdue University Master Degree: Economics, Purdue University Bachelor Degree: Information Management and Information Systems, Tsinghua University Professor Chen's research spans artificial intelligence, FinTech, social media analytics, and platform economics, with significant contributions to understanding how digital interactions shape financial markets and consumer behavior. His work frequently examines the intersection of technology adoption and economic outcomes, particularly in cryptocurrency markets, live-stream commerce, and venture capital decision-making. His research methodology combines large-scale data analysis with experimental designs to uncover causal relationships in digital ecosystems. His publications in elite journals like Journal of Financial Economics and Management Science demonstrate consistent impact, with multiple ESI Highly Cited Papers. Current projects include Gov-RAG for e-government services and comparative studies of AI search tools. His research has received continuous funding from Hong Kong's Research Grants Council for five consecutive years (2019-2023). Faculty Outstanding Researcher Award, HKU Business School (2022-23) INFORMS ISS Sandra A. Slaughter Early Career Award (2022) Association for Information Systems Early Career Award (2019) Three ESI Highly Cited Papers (Top 1% in field) Professor Chen actively contributes to academic service as Associate Editor for Journal of Management Information Systems and MIS Quarterly , and serves as Program Chair for the International Conference on Smart Finance. His industry collaborations include Alibaba, HSBC, and China Construction Bank, bridging academic research with real-world business applications in AI implementation and digital transformation.

Nyeema Harrisمشاهده پروفایل

دانشیار

• Wildlife Conservation
• Urban Ecology
• Human-Wildlife Interactions
• +۳ مورد دیگر

Nyeema Harris is the Knobloch Family Associate Professor of Wildlife and Land Conservation at the Yale School of the Environment (YSE), part of Yale University. She focuses on wildlife conservation, urban ecology, and the socio-ecological dimensions of human-wildlife interactions. Her work examines how urbanization impacts predator behavior, diets, and biodiversity, while advocating for inclusive sustainability approaches that address equity and justice in environmental scholarship. Education includes a PhD from North Carolina State University, an MS from The University of Montana, and a BS from Virginia Polytechnic Institute and State University. These degrees span wildlife science and conservation biology. Her research interests emphasize urban carnivore ecology, community-based conservation strategies, and systemic racism’s ecological consequences. She integrates spatial modeling with social equity frameworks, as seen in her publications on textured species range maps and critiques of environmental landscapes of fear. Publications highlight trends in urban wildlife adaptation, interdisciplinary methods, and ethical considerations in conservation. Key themes include dietary shifts in predators due to environmental changes, the role of historical data in species forecasting, and mitigating health risks linked to urbanization and gentrification. Dr. Harris actively advises doctoral students and is involved in initiatives like SNAPSHOT USA and Michigan ZoomIN, leveraging citizen science for ecological monitoring. She has not been noted for specific scientific awards in the provided texts. Her office is located in Kroon Hall, Room 223, at 195 Prospect Street, New Haven, CT. She contributes to environmental justice discourse and has been featured in news articles discussing her work on African carnivore range loss, urban rodent control, and systemic racism in urban ecosystems.

• Plant Ecology
• Plant Physiology
• Kin Recognition in Plants
• +۴ مورد دیگر

Susan Dudley is a Professor in the Department of Biology at McMaster University, where she has established herself as a leading researcher in plant ecology and physiology. Her work spans multiple areas including plant-plant interactions, kin recognition mechanisms in plants, and pollinator ecology, with significant contributions to understanding how plants interact with their environment and with each other. Ph.D. in Ecology and Evolution from University of Chicago (1991) M.Sc. in Biology from McGill University (1984) B.Sc. in Biology from McGill University (1981) Dr. Dudley's research primarily focuses on plant social behavior, particularly kin recognition and cooperation among plants. Her groundbreaking work has demonstrated that plants can recognize their relatives and modify their growth patterns accordingly, challenging traditional views of plant behavior. She also investigates pollinator ecology, with recent research on wild bees including the unusual case of snail shell-nesting bees. Her interdisciplinary approach combines field observations, controlled experiments, and molecular techniques to address fundamental questions in plant ecology. Her publication record shows consistent productivity with a focus on plant social interactions over the past 15 years. The research trends reveal an evolution from basic studies on kin recognition mechanisms to applications in conservation biology and sustainable agriculture. Her recent work connects plant social behavior with broader ecological concerns including invasive species management, pollinator conservation, and forest ecosystem dynamics. As an educator, Dr. Dudley teaches Ecological Statistics (BIOLOGY 707), Applied Statistics for Biology (BIOLOGY 3SA3), Field Methods in Ecology (BIOLOGY 3JJ3), and Plant Biodiversity and Biotechnology (BIOLOGY 2D03). Her teaching spans both undergraduate and graduate levels, emphasizing practical field and statistical skills essential for modern ecological research. Her research has received significant attention in both academic and public spheres, with multiple publications picked up by news outlets, referenced in Wikipedia pages, and shared across social media platforms. The collaborative nature of her work is evident from her co-author network, which includes researchers across various biological disciplines.

Jyh-Hone Wangمشاهده پروفایل

استاد

• Transportation Human Factors
• Driving Safety
• Intelligent Transportation Systems
• +۵ مورد دیگر

Professor Jyh-Hone Wang holds a faculty position in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island (URI). His research focuses on transportation human factors, driving safety, and intelligent transportation systems, with particular emphasis on variable message sign (VMS) design, driver behavior analysis, and automation technology acceptance in elderly drivers. He has conducted studies on dynamic message sign efficacy, traffic flow management, and roadway safety improvement strategies. Education: Ph.D. and M.S. in Industrial Engineering from the University of Iowa (1989 and 1986), and B.S. in Industrial Engineering from Tunghai University, Taiwan (1980). Recent grants include a 2020 National Institute for Undersea Vehicle Technology grant (Co-PI) on stress monitoring via wearable devices, and a 2017 Rhode Island Department of Transportation grant (PI) assessing sidewalk quality compliance. His work bridges engineering principles with human factors to enhance traffic safety and transportation efficiency. Key research contributions include optimizing VMS message design for clarity, analyzing driver responses to automation levels, and addressing tailgating issues through behavioral interventions. He has advised multiple graduate students and collaborated on interdisciplinary projects involving traffic data analysis and manufacturing process optimization.