جست‌وجوی استاد و پژوهشگر

Nicole Taylorمشاهده پروفایل

دانشیار

• Digital Ethnography
• Ethics
• Ethnography and qualitative research methods
• +۱۶ مورد دیگر

Nicole Taylor is an Associate Professor of Anthropology and Ph.D. Program Coordinator at Texas State University, specializing in digital ethnography, youth culture, and social media practices. Her research examines how contemporary youth navigate identity, body image, and social relationships in both physical and digital spaces, with particular focus on college students' experiences with social media platforms. Dr. Taylor earned her PhD in Anthropology from the University of Arizona, an MA in English from Texas A&M University, and a BA in English from Texas State University. Prior to her academic career, she worked in nonprofit and corporate settings conducting research on substance abuse, poverty, childhood obesity, and school climate. She also served as Director of Scholar Programs at the School for Advanced Research in Santa Fe for five years before returning to her undergraduate alma mater as faculty. Her primary research interests include digital ethnography, social media practices, body image and gender, childhood obesity, adolescent health, and qualitative research methods. Funded by National Science Foundation grants, her recent work explores identity construction and emotional expression on social media, introducing the concept of 'digital multiples' to describe how students strategically present different versions of themselves across platforms. She also collaborates with Dr. Kate Spradley on research examining decision-making processes surrounding unidentified human remains along the Texas border. Dr. Taylor's scholarly work has been recognized with multiple awards, including being a finalist for the 2016 New Mexico-Arizona Book Awards and winning First Place (Societal Issues) and Best Non-fiction Book of the Year in the 2016-17 ReaderViews Literary Awards for her book Schooled on Fat: What Teens Tell Us About Gender, Body Image, and Obesity . She has secured significant research funding from the National Science Foundation for her social media ethnography project and participated in the NSF I-Corps program to explore solutions for social media dependence. As Ph.D. Program Coordinator, she mentors graduate students in designing and conducting anthropological research on contemporary social issues related to youth culture and digital spaces. Dr. Taylor teaches undergraduate courses including Applied Cultural Anthropology, Medical Anthropology, Anthropology of Youth, and Language and the Body, as well as graduate courses in Qualitative Methods and Applied Anthropology Methods, bringing her research expertise into the classroom to train future anthropologists in digital ethnographic approaches.

• Accessibility and the Arts
• Crip Art
• Disability Studies
• +۳ مورد دیگر

Liza Sylvestre is a multimedia artist and research assistant professor in the College of Fine and Applied Arts at the University of Illinois Urbana-Champaign. She co-founded Crip*—Cripistemology and the Arts, a transdisciplinary initiative exploring the intersection of disability studies and artistic practice. Sylvestre's work challenges ableist hierarchies in art while focusing on the generative possibilities of difference and interdependence. Her "Captioned" series creates interpretative narrations for films without captions, including "Captioned - Twentieth Century" (2018), which reworks a 1934 screwball comedy. These works feature readings of visual cues and meta-musings on their insufficiency, possessing a speculative quality that suggests both guesswork and utopian yearning. In September 2018, she organized the Sensory Loss and Art Symposium at the Weisman Art Museum, addressing how museums create normative rules for engaging with art. Artists Initiative grant from the Minnesota State Arts Board Arts Learning grant from the Minnesota State Arts Board Fellowship through Art(ists) on the Verge VSA Jerome Emerging Artist Grant Art Works grant from the National Endowment for the Arts Kate Neal Kinley Memorial Fellowship Fellowship from the Joan Mitchell Foundation Citizens Advocate Award from the Minnesota Commission of the Deaf, DeafBlind, and Hard of Hearing (2019) Sylvestre has been artist-in-residence at the Weisman Art Museum and the Center for Applied and Translational Sensory Science. Her work has been exhibited internationally at Plains Art Museum (Fargo), Weisman Art Museum (Minneapolis), John Hansard Gallery (Southampton), ARGOS (Brussels), and Museum für Moderne Kunst (Frankfurt). She co-created The Blue Description Project with Christopher Jones, which builds on Derek Jarman's film Blue through expanded accessibility frameworks.

Juho Kimمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Interactive Systems
• +۵ مورد دیگر

Juho Kim is an Associate Professor in the School of Computing at KAIST, where he directs KIXLAB (the KAIST Interaction Lab). He is also affiliated faculty in the Kim Jaechul Graduate School of AI at KAIST. His academic journey includes a Ph.D. from MIT, M.S. from Stanford University, and B.S. from Seoul National University. From 2015-2016, he served as a Visiting Assistant Professor and Brown Fellow at Stanford University. His educational background includes: Ph.D. in EECS from MIT M.S. in Computer Science from Stanford University B.S. in Computer Science and Engineering from Seoul National University Professor Kim's research in human-computer interaction and human-AI interaction focuses on building interactive and intelligent systems that support interaction at scale, aiming to improve the ways people learn, collaborate, discuss, make decisions, and take action online. His work spans several key areas including educational technology, online collaboration platforms, AI-powered learning systems, and tools for human-AI collaboration. He is particularly interested in how interactive systems can scale to support large numbers of users while maintaining quality interactions. His recent publications show a strong trend toward human-AI interaction, with particular emphasis on educational applications, collaborative systems, and addressing challenges in AI reliability and user experience. His work often combines technical innovation with rigorous user studies to evaluate real-world impact. Professor Kim has received numerous scientific awards including a KIISE/IEEE-CS Young Computer Researcher Award, KAIST's Songam Distinguished Research Award, Grand Prize in Creative Teaching, Q-Day Creative Education Award, and Excellence in Teaching Award. He has also received nearly 20 paper awards from top conferences including ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP. KIISE/IEEE-CS Young Computer Researcher Award KAIST's Songam Distinguished Research Award Grand Prize in Creative Teaching Q-Day Creative Education Award Excellence in Teaching Award Nearly 20 paper awards from ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP KAIST Global Research Cooperation Award Outstanding Ethics Professor Award from KAIST Graduate Student Association Professor Kim actively mentors students at all levels, with a substantial roster of Ph.D. and M.S. students. His recent sabbatical year was spent as a chief scientist at Ringle Inc. to transfer his research on AI-powered analysis and diagnosis of English learners' proficiency into real products. He is also an Educational Innovation Advisor at KAIST, with the mission to promote AI-applied teaching and learning in the university. Professor Kim directs KIXLAB (the KAIST Interaction Lab), which focuses on human-AI interaction research. The lab brings together students and researchers from diverse backgrounds to work on projects that bridge interactive systems and artificial intelligence. KIXLAB has established collaborations with industry partners and regularly contributes to top-tier conferences in HCI and AI.

Colin Phillipsمشاهده پروفایل

استاد

• Language Acquisition
• Neurolinguistics
• Psycholinguistics
• +۳ مورد دیگر

Colin Phillips is a Professor in the Department of Linguistics at the University of Maryland. His research focuses on syntax, psycholinguistics, and neurolinguistics, particularly examining sentence production, parsing mechanisms, and the interface between syntax and processing. He is a Distinguished Scholar-Teacher and affiliated with the Maryland Language Science Center. His work combines experimental methods with theoretical syntax, investigating topics like syntactic category effects in lexical access, anaphora resolution, and the role of memory in language processing. Key contributions include studies on filler-gap dependencies, negative polarity illusions, and the structural sensitivity of memory access in Mandarin Chinese. Phillips has collaborated with researchers such as Shota Momma, Matthew Wagers, and Brian Dillon. His lab utilizes ERP and behavioral experiments to explore real-time language processing. Grants include NSF support for projects in semantics, syntax, and computational linguistics. Awards include the Distinguished Scholar-Teacher title at UMD. His teaching and research span linguistic theory, experimental methods, and interdisciplinary language science. Phillips is actively involved in graduate training and has advised numerous students in the PhD program.

Francesco Vespignaniمشاهده پروفایل

دانشیار

• Sentence Processing
• ERPs (Event-Related Potentials)
• Language Comprehension
• +۳ مورد دیگر

Francesco Vespignani is an Associate Professor at the University of Padova. His research focuses on the cognitive and neural mechanisms underlying language comprehension, particularly sentence processing, ERPs (event-related potentials), and interactions between syntax and pragmatics. He investigates how language influences visual attention, bilingualism, aging, and deafness. His work integrates psycholinguistic, ERP, and EEG methodologies. Research areas: ERPs and sentence comprehension, syntax-pragmatics interaction, language and visual attention, language in atypical populations (bilingualism, aging, deafness). Publications: Over 40 peer-reviewed articles in journals like Journal of Experimental Psychology , Brain and Language , and Discourse Processes . Recent articles highlight speaker-specific speech prediction, pragmatic leniency toward foreigners, and neural mechanisms of language processing in cochlear implant users. His work bridges cognitive psychology, neuroscience, and linguistics. Key findings include the role of novel linguistic labels in visual attention disengagement and ERP evidence of discourse expectations linked to the question under discussion. Collaborations span Italy, Germany, and the UK, focusing on bilingualism and neurocognitive language processing.

Josefine Andinمشاهده پروفایل

دانشیار

• Neuroscience
• Disability Research
• Cognitive Science
• +۳ مورد دیگر

Josefine Andin is a Senior Associate Professor at Linköping University, affiliated with the Department of Behavioural Sciences and Learning and the Disability Research Division (FUSA). Her research focuses on neuroscience, disability research, and cognitive hearing science, particularly investigating how the brain processes cognitively demanding tasks in individuals with hearing loss and deafness. She collaborates across disciplines, including speech and language pathology, audiology, and engineering. Her work emphasizes the biopsychosocial model of disability, exploring how environmental factors interact with biological and psychological aspects of impairment. Dr. Andin’s research is organized into three core areas: cognition under challenging conditions (e.g., working memory and noise effects), mathematics in the signing brain (comparing deaf and hearing populations via neuroimaging), and hearing loss’s impact on emotions and workplace participation. She actively supervises PhD students in projects like Cristina Tobías’ work on working memory and noise, Isabella Ström’s study on auditory noise and children’s learning, and Agnes Andersson’s investigation of mental fatigue. In teaching, she emphasizes problem-based learning and critical thinking, designing courses in disability research, neuroscience, and quantitative methods. She currently manages courses such as Disability Research 2 and Cognitive Psychology 2 . Her educational roles include Director of Studies for disability research courses and membership on faculty curriculum boards. Key collaborations include the Swedish Institute for Disability Research and the Linnaeus Centre HEAD. Recent publications highlight neuroimaging studies on deaf signers’ brain structures (e.g., superior parietal lobule in geometry processing) and acoustic emotion recognition in speech. Her work bridges interdisciplinary gaps, aiming to improve accessibility and cognitive understanding across diverse populations.

Julien Diraniمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Semantic Cognition
• Lexical Selection
• +۲ مورد دیگر

Julien Dirani is a Distinguished Postdoctoral Fellow at Carnegie Mellon University's Neuroscience Institute, with additional affiliations at the University of Pittsburgh Medical Center. His research investigates the neural mechanisms of semantic cognition using multimodal neuroimaging and computational methods. Dirani's work examines how conceptual knowledge is represented across brain regions during language tasks, with emphasis on cross-modal processing and lexical-semantic interfaces. Recent MEG studies explore temporal dynamics of conceptual representations, dissociating visual and lexical features. His publications span neuroimaging techniques (MEG/fMRI), cognitive models of language, and cross-linguistic validation of psychological instruments. Collaborations include developing benchmarks for AI reasoning and investigating syntax processing in Arabic. Research integrates cognitive neuroscience with computational modeling to understand semantic memory organization.

• Electrical Engineering
• Computer Engineering
• Smart Grids
• +۵ مورد دیگر

Muhammad Jawad is an Assistant Professor at COMSATS University Islamabad in the Department of Electrical and Computer Engineering. He previously completed his PhD at North Dakota State University in 2015 and has also been affiliated with the University of Manchester's Department of Electrical and Electronics Engineering. His academic career spans over a decade with continuous research contributions from 2013 to the present. Dr. Jawad's research focuses on the intersection of electrical engineering and computer science, particularly in smart grid technologies, energy management systems, machine learning applications for power systems, and IoT security. His work demonstrates strong interdisciplinary collaboration, with numerous publications in high-impact journals including IEEE Access, Future Internet, and Expert Systems with Applications. His research addresses critical challenges in modern power systems, renewable energy integration, and computational methods for electrical engineering applications. Analysis of his recent publications reveals a clear research trajectory focusing on applying advanced computational techniques to solve practical problems in power systems and energy management. His work spans machine learning for intrusion detection in IoT devices, optimization techniques for battery sizing and energy management, thermal-aware scheduling algorithms, and blockchain applications for distributed systems. The interdisciplinary nature of his research connects electrical engineering fundamentals with cutting-edge computer science methodologies. Dr. Jawad has established a strong collaborative network, frequently working with researchers from COMSATS University Islamabad, North Dakota State University, and international institutions. His collaborations span across multiple research areas, indicating his ability to bridge different technical domains. While specific grant information isn't detailed in the publication records, his consistent output suggests successful funding support for his research activities. Though specific laboratory affiliations aren't explicitly mentioned in the publication metadata, his research areas suggest involvement with power systems laboratories, smart grid research facilities, and possibly computer architecture labs focused on energy-efficient computing. His work on memristor modeling and thermal-aware scheduling indicates potential connections to hardware and VLSI research facilities as well.

Jeremy Knoxمشاهده پروفایل

مدرس ارشد

• Digital Education
• Posthumanism
• New Materialism
• +۶ مورد دیگر

Dr. Jeremy Knox is a Senior Lecturer in Digital Education and Co-Programme Director of the Digital Education Programme at the University of Edinburgh's Moray House School of Education and Sport. He co-directs the Centre for Research in Digital Education (Data Society) and holds affiliations with the Institute for Education, Community & Society (IECS). His research focuses on critical posthumanism, new materialism, and their implications for digital education, particularly in relation to Massive Open Online Courses (MOOCs) and Open Educational Resources (OERs). Knox holds a PhD in Education from the University of Edinburgh (2014), an MSc in E-Learning with Distinction (2011), and a PGCE in Further Education (2006). His academic roles include teaching on the MSc in Digital Education and designing MOOCs such as 'E-learning and Digital Cultures' on Coursera. His research explores themes like the sociomateriality of educational technologies, critical data studies, and the ethical dimensions of learning analytics. Current projects include 'Lecture Recording for Inclusive Education' and 'Edinburgh Pulse' (IoT technology for smart campuses). He has secured grants totaling over £1M, including leadership roles in the 'Learning Analytics Report Card' (LARC) and 'Supporting Higher Education to Integrate Learning Analytics' (SHEILA). Key areas of supervision include digital higher education, MOOCs, and posthumanist theory. His work has been presented globally, including keynote addresses at the University of Cambridge, Beijing Normal University, and the International Conference on MOOCs. He has published widely, with a focus on reimagining education through critical posthumanist lenses.

Andrew Spectorمشاهده پروفایل

استاد

• Sleep Medicine
• Neurology
• Epilepsy
• +۵ مورد دیگر

Andrew Spector, MD is Professor of Neurology at Duke University School of Medicine, where he serves as Vice Chair for Inclusion, Diversity, and Empowerment in the Department of Neurology. His dual expertise spans clinical neurology and sleep medicine, with particular focus on epilepsy and sleep disorders. His academic leadership extends to directing diversity initiatives within the neurology department and contributing to national conversations about equity in medical education and practice. University of Michigan, Ann Arbor (M.D., 2006) Dr. Spector's research centers on the intersection of sleep disorders and neurocognitive function, with special emphasis on obstructive sleep apnea's impact on postoperative outcomes in older adults. His work also addresses critical gaps in understanding sleep health disparities across racial and ethnic groups, particularly among Asian American populations. Additional research interests include non-REM parasomnias, restless legs syndrome, and the physiological mechanisms linking sleep disorders to neurocognitive decline. His recent publications demonstrate a growing commitment to examining structural racism in healthcare and developing frameworks for meaningful diversity, equity, and inclusion initiatives within academic neurology departments. Analysis of Dr. Spector's recent publications reveals a clear trajectory focusing on the clinical implications of sleep disorders, particularly obstructive sleep apnea and its relationship to neurocognitive outcomes. His work bridges basic science (examining blood-brain barrier breakdown) with clinical applications (improving sleep apnea screening in preoperative settings). Notably, his research increasingly incorporates health equity perspectives, examining disparities in sleep medicine access and outcomes across diverse populations. The publications also demonstrate engagement with public policy issues, particularly regarding daylight saving time and its health impacts. Dr. Spector has received significant research funding supporting his work in sleep medicine and neurology: A MultiCenter, double-blind, randomized study to evaluate the effects of tasimelteon vs placebo in participants with Delayed Sleep-Wake Phase Disorder (DSWPD) (Vanda Pharmaceuticals, Inc., 2021-2024) The Association of Blood-Brain Barrier Breakdown with Sleep Apnea and Postoperative Delirium (National Institutes of Health, 2021-2024) Duke Racial Disparities in Neurology Scorecard Research (Harmony Biosciences, 2021-2023) Sleep Medicine Fellow Institutional Training Program (American Academy of Sleep Medicine Foundation, 2022-2023) Dr. Spector's academic leadership extends to curriculum development, teaching the interdisciplinary course "Sleep in Society: History, Culture, and Medicine" across multiple departments including Linguistics, Neuroscience, and Psychology. His external relationships include the American Academy of Neurology and industry connections with Apnimed and Noctrix, Inc., reflecting his engagement with both academic and translational aspects of sleep medicine. His work on the SANDMAN Study (Sleep Apnea, Neuroinflammation, and Cognitive Dysfunction Manifesting After Non-cardiac surgery) represents a significant multidisciplinary research initiative examining the neurological consequences of untreated sleep apnea in surgical populations.

John Staskoمشاهده پروفایل

استاد

• Data Visualization
• Information Visualization
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

John Stasko is a Regents Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he has been on the faculty since 1989. He also serves as an Adjunct Professor in the School of Computing Instruction. His primary research focuses on data visualization , information visualization , and visual analytics from a human-computer interaction (HCI) perspective. He has held leadership roles such as Interim School Chair of Interactive Computing (2021–2022) and General Chair of IEEE VIS 2013. Education: B.S. in Mathematics, Bucknell University (1983) M.Sc. and Ph.D. in Computer Science, Brown University (1985, 1989) Research Interests: John leads the Information Interfaces Research Group , emphasizing tools for data exploration and sense-making. His work includes visual analytics systems, peripheral awareness interfaces, and flexible interaction paradigms. Notable contributions include the Jigsaw system for document analysis and ROBIN for migration data visualization. Awards & Recognition: 2023: IEEE VGTC Visualization Lifetime Achievement Award 2014: IEEE Fellow 2012: IEEE VGTC Visualization Technical Achievement Award ACM Distinguished Scientist (2011) ACM CHI Academy & IEEE Visualization Academy memberships Advising & Teaching: John has advised over 20 PhD students and teaches courses like CS 6730: Data Visualization and CS 1331: Intro to Object-Oriented Programming . He emphasizes accessible, user-centered design in both research and education. Affiliations: GVU Center Institute for People and Technology (IPaT) Adjunct Faculty at School of Computing Instruction Member, University of St. Andrews Honorary Faculty (2013)

Mate Juricمشاهده پروفایل

استادیار

• Psychology of Reading and Learning
• User Information Behavior
• Information Literacy
• +۳ مورد دیگر

Assistant Professor Mate Juric, PhD, holds a position at the Department of Information Sciences and Technologies, University of Zadar. He specializes in research areas such as psychology of reading and learning in digital environments, user information behavior, information literacy, human-computer interaction, and statistical data analysis. His academic projects include ILO (Information Literacy Online), OPERAS-PLUS, and 2CODE, focusing on cross-border business development and educational technology initiatives. Key research interests involve comparative studies of student reading habits across disciplines, digital literacy in childhood development, and library roles in supporting marginalized groups. Juric has contributed to over 50 publications since 2009, with recent work concentrating on UX questionnaire validation, visual attention in digital communication, and sustainability education frameworks. Education: PhD in Information Sciences (university details unspecified) Projects: Lead researcher in EU-funded projects like ILO and 2CODE Teaching: Courses include Research Methodology in Social Sciences, Information Systems in Education, and User Information Behavior Labs/Teams: Active in the department's research groups focusing on digital literacy and educational technology His work bridges educational theory and practice, emphasizing culturally responsive digital tools and evidence-based strategies for improving information literacy across diverse populations.

• Human Computer Interaction
• Digital Transformation
• User Experience Design (UX)
• +۷ مورد دیگر

Maurizio Caon is a Full Professor and Head of Institute at the Fribourg School of Management (HES-SO), specializing in Human-Computer Interaction and Digital Transformation. His research focuses on health technology interventions for aging populations and adolescents, with a particular emphasis on e-coaching systems, wearable devices, and participatory design. He leads EU-funded projects like NESTORE (2017-2021), developing virtual coaches for older adults' well-being, and PEGASO (2013-2017), targeting adolescent health through gamified mobile platforms. Education: Not explicitly stated in text, but expertise in Ergonomics and Information Systems is implied through research focus. Research Interests: Designing human-centered technologies for health promotion, including tangible interfaces, behavior change models, and cross-cultural co-design. Key areas include aging workforce strategies, digital self-tracking, and ethical data practices. His work bridges HCI, healthcare innovation, and social impact. Publications highlight innovations in e-coach systems (e.g., NESTORE's multi-domain pathway), wearable technology's psychological impact, and VR exergames for seniors. Projects involve partnerships with Politecnico di Milano, EIA HumanTech Institute, and international teams. Grants: Principal investigator and co-investigator on EU H2020 and FP7 grants totaling over 890,000 CHF. Team: Collaborates with researchers like Leonardo Angelini, Elena Mugellini, and Omar Abou Khaled on interdisciplinary projects. Labs/Teams: Leading the NESTORE and PEGASO teams, focusing on digital health solutions for aging and youth populations. Involved in design processes for inclusive public spaces and ergonomic interfaces for cyclists.

Lisa Bestمشاهده پروفایل

استاد

• Psychology
• Health Psychology
• Medical Psychology
• +۳ مورد دیگر

Dr. Lisa Best is a Professor of Psychology at the University of New Brunswick's Department of Psychology, located in Saint John. She holds a PhD from the University of Maine, a master's from the University of Arkansas (Little Rock), and an undergraduate degree from York University. Her research focuses on psychosocial factors influencing wellness, particularly how medical diagnoses (e.g., cancer, spinal cord injury) interact with stable (personality traits) and modifiable factors (resilience, mindfulness) to affect health outcomes. She actively engages graduate students in this work. Her research spans health psychology, diagrammatic reasoning, and learning technology. Notable contributions include studies on graphical perception in scientific communication and the effectiveness of clickers in education. She has secured numerous grants for her research. Education: PhD, Psychology, University of Maine MA, Psychology, University of Arkansas (Little Rock) Bachelor's Degree, York University Her work emphasizes practical strategies to improve both psychological and physical health outcomes post-disease or injury. Recent publications highlight themes like psychological flexibility in cancer survivors and LGBTQ+ healthcare access. Awards: Harrison McCain Young Scholar's Award (2008) Dr. Best collaborates on grants and supervises graduate students, contributing to interdisciplinary teams. Her lab's focus includes informal science education and geopark visitor engagement, reflecting her broader interest in science communication.

Sol Limمشاهده پروفایل

استادیار

• Human Factors Engineering
• Ergonomics
• Wearable Technology
• +۵ مورد دیگر

Sol Lim is an Assistant Professor in the Department of Industrial and Systems Engineering at Virginia Tech, affiliated with the College of Engineering. He holds roles as Co-Director of the Occupational Ergonomics and Biomechanics (OEB) Laboratories and Core Faculty at the Occupational Safety and Health Research Center (OSHRC). Lim's research focuses on assessing human motion through wearable sensing technologies, biomechanics, and data analytics to improve workplace safety and accessibility for vulnerable populations, including individuals with mobility impairments. His work emphasizes interventions to reduce occupational injuries and enhance environmental accessibility. Lim's education includes a Ph.D. in Industrial and Operations Engineering from the University of Michigan (2019), complemented by a Graduate Certificate in Data Science. He also holds an M.S. in Biomedical Engineering (University of Michigan), an M.S. in Industrial Engineering (Seoul National University), and a B.S. in Clothing and Textiles (Yonsei University). Research interests include wearable technology integration, predictive modeling of human movement risks, and ergonomic interventions. Notable projects involve vibrotactile feedback systems for posture correction, analysis of forklift training in VR environments, and development of accessible yoga instruction tools for visually impaired users. Lim has received the Best Student Paper Award (HFES, 2019) and leads collaborative projects with industry partners to advance human-robot collaboration in manufacturing. His lab actively explores contextual-aware systems like sit-stand desks to promote healthy behaviors. Current research also addresses cognitive workload assessment in teleoperator-robot-human teams and barriers to online exercise programs for older adults. Lim advises graduate and undergraduate researchers in industrial engineering and related fields. His lab is part of Virginia Tech's Faculty of Health Sciences and collaborates with the Center for Human-Computer Interaction (CHCI).