جستجوی استاد راهنمای دانشگاهی

• Indoor Environmental Quality (IEQ)
• Thermal Comfort and Adaptation
• Building Occupant Behavior
• +۴ مورد دیگر

Associate Professor Jungsoo Kim holds a position in the School of Architecture, Design and Planning at the University of Sydney, specializing in Building Science. His research focuses on occupant-building interactions, particularly how environmental factors influence user behavior and energy demand. He teaches courses in architectural science and building performance. Key affiliations include membership in: NatHERS Technical Advisory Committee CSIRO's Thermostat Behavior Expert Group IEA-EBC Annexes 87, 69, and 66 NABERS Technical Working Group International Society of Indoor Air Quality and Climate Research interests span Indoor Environmental Quality (IEQ), occupant behavior modeling, building performance assessment, and translating research into building codes. Recent grants include studies on decarbonizing multi-residential buildings and work-from-home environments' impact on productivity. His lab, the IEQ Lab, explores acoustic comfort and thermal adaptation in workplaces and residential contexts. Notable work includes developing probabilistic behavioral models for HVAC usage and advancing adaptive thermal comfort theory.

Gabriele Oettingenمشاهده پروفایل

استاد

• Social Psychology
• Psychology of Motivation
• Goal Setting
• +۳ مورد دیگر

Gabriele Oettingen is a Professor of Psychology at New York University (since 2002) and the University of Hamburg (since 2000). Her work focuses on self-regulation processes, particularly mental contrasting with implementation intentions (MCII), which bridges positive fantasies and actionable goals. She holds a M.A. in Biology from Ludwig-Maximilians-Universität (1982), a Ph.D. in Biology (Ethology) from the same institution and the Max Planck Institute for Behavioral Physiology (1986), and a Habilitation in Psychology from Free University Berlin (1996). Her research explores how individuals engage with and disengage from goals, emphasizing the interplay between positive fantasies and realistic evaluations. Key areas include health behavior change, interpersonal relationships, and decision-making. Notable contributions include the development of the WOOP intervention (Wish, Outcome, Obstacle, Plan) for goal achievement. She has held positions at the Max Planck Institute for Human Development and the University of Pennsylvania. Research Interests: Self-regulation strategies, goal-setting mechanisms, mental contrasting, disengagement from unattainable goals, and applications in health, education, and clinical settings. Her work integrates cognitive, motivational, and cultural perspectives to understand human behavior. Lab: Motivation Lab at NYU Publications: Over 200 peer-reviewed articles and books, including *Rethinking Positive Thinking* (2014).

James Bellinghamمشاهده پروفایل

استاد

• Autonomous Underwater Vehicles (AUVs)
• Marine Robotics
• Ocean Observing Systems
• +۳ مورد دیگر

James Bellingham is the Bloomberg Distinguished Professor of exploration robotics at Johns Hopkins University, holding primary appointments in the Department of Mechanical Engineering and the Applied Physics Laboratory's Asymmetric Operations Sector. He serves as executive director of the Johns Hopkins Institute for Assured Autonomy and is a member of the Data Science and AI Institute. With over 30 years of expertise, Bellingham pioneered small, high-performance autonomous underwater vehicles (AUVs), leading global expeditions across polar and oceanic regions. His work bridges robotics innovation with environmental monitoring, including oil spill response, Arctic exploration, and NASA collaborations for extraterrestrial oceanic exploration. Bellingham's educational background includes BS, MS, and PhD in physics from MIT. He previously led Woods Hole Oceanographic Institution's Marine Robotics Consortium, creating advanced prototyping facilities and fostering entrepreneurship in robotics. His leadership roles span institutional boards such as the Naval Studies Board and OceanX. His research focuses on advancing AUV capabilities for adaptive sampling, fault detection, and interdisciplinary oceanography. Over 50 publications demonstrate his technical contributions, including AUV design, environmental hazard mapping, and collaborative robotic systems. Awards include National Academy of Engineering induction and military honors for public service.

Ehud Sharlinمشاهده پروفایل

استاد

• Human-robot interaction
• Tangible user interfaces
• Virtual reality
• +۴ مورد دیگر

Ehud Sharlin is a Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on Human-Computer Interaction (HCI) with specializations in human-robot interaction, tangible interfaces, virtual/augmented reality, and autonomous vehicle interactions. He holds a Ph.D. in Computing Science from the University of Alberta (2003), and M.Sc. and B.Sc. degrees in Electrical and Computer Engineering from Ben-Gurion University of the Negev (1997 and 1990). Teaches CPSC 481: Human-Computer Interaction I Recipient of the NSERC Discovery Accelerator Award (2019), ACM Creativity & Cognition Honourable Mention (2018), and multiple academic excellence awards Active in industry collaborations, particularly in medical simulation (e.g., VRSpineSim) and geosciences (e.g., PLANWELL) Research explores: Embodied interaction through robotics and wearables Autonomous vehicle-pedestrian communication systems Immersive tools for creative and professional domains Accessibility in human-technology interfaces Publications span over 100 peer-reviewed works, emphasizing design methodologies, user experience in XR systems, and ethical considerations in sociotechnical systems. His work bridges technical innovation with human-centered design principles.

Svetlana Yanushkevichمشاهده پروفایل

استاد

• Biometric Technologies
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Dr. Svetlana Yanushkevich is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary. She is also a Full Member of the Hotchkiss Brain Institute and the Mathison Centre for Mental Health Research and Education. Her research focuses on biometric technologies, decision support systems, biomedical applications, and computational intelligence. She leads the Biometric Technologies Laboratory, developing strategies for risk assessment in biometric systems and healthcare monitoring through machine reasoning and signal processing. Education : BSc/MSc in Electrical Engineering (1989), State University of Informatics and Radioelectronics, Minsk PhD in Electrical Engineering (1992), same institution Dr. Habilitated in Technical Sciences (1999), Warsaw University of Technology Research Interests : Dr. Yanushkevich’s work spans biometric system design (e.g., gait analysis, facial attributes), decision support via probabilistic models (Bayesian networks, causal inference), biomedical applications (stroke rehabilitation, wearable sensors), and computational intelligence for data science. She emphasizes fairness, bias mitigation, and trustworthiness in AI systems, particularly in healthcare and accessibility contexts. Recent Research Trends : Her recent publications address causal modeling for accessibility barriers, UAV operator cognitive workload, and medical device optimization in radiation therapy. She explores AI ethics, stress contagion in human-robot teams, and cross-spectral biometric systems. Awards & Recognition : 2024 FEIC Fellow (Engineering Institute of Canada) 2019 Research Excellence Award (Schulich School of Engineering) 2001 Senior IEEE Membership Advising & Grants : She coordinates courses like ENCM 509 (Biometric Systems Design) and ENEL 610 (Biometric Technologies). Her research is supported by grants focusing on healthcare AI, accessibility technologies, and computational epidemiology. Labs & Collaborations : Her Biometric Technologies Lab collaborates with institutions like Hokkaido University and the IEEE Computational Intelligence Society. Projects include wearable health monitoring, decision support platforms, and AI-driven epidemiological modeling.

Ian M. Hughesمشاهده پروفایل

استادیار

• Industrial/Organizational Psychology
• Employee Well-being
• Workplace Social Exchanges
• +۷ مورد دیگر

Ian M. Hughes is an Assistant Professor in the Industrial/Organizational Psychology program at North Carolina State University's Department of Psychology within the College of Humanities and Social Sciences. His research focuses on workplace social exchanges, employee well-being, and occupational health psychology. He holds a Ph.D. from Bowling Green State University (2023) following prior degrees from the same institution (M.A., 2021) and the University of Central Florida (B.S., 2019). Dr. Hughes' work examines how social support dynamics and workplace mistreatment affect psychological, physiological, and behavioral outcomes. He also investigates politics and work, social media's impact, and human-animal interaction. His research has been published in high-impact journals such as the Journal of Occupational Health Psychology and Computers in Human Behavior . He leads the PAWW (Psychology, Animals, Work, and Well-being) lab, exploring interdisciplinary connections between these areas. Recent studies highlight trends in understanding unhelpful workplace support mechanisms, pet ownership's spillover effects on work performance, and the psychological impacts of doomscrolling. His work bridges organizational behavior with health psychology, emphasizing practical applications for improving workplace climates and employee well-being. Though no formal awards are listed, his prolific publication record (over 20 articles since 2019) indicates sustained academic impact. His CV provides further details about grants, lab activities, and collaborative projects. He advises the PAWW lab team but no named students are listed in available materials.

Subodha Kumarمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Blockchain
• +۱۱ مورد دیگر

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science at Temple University’s Fox School of Business. He also serves as Founding Director of the Center for Business Analytics and Disruptive Technologies and holds a secondary appointment in Information Systems. With prior faculty roles at the University of Washington and Texas A&M University, he has been recognized with prestigious awards including the INFORMS ISS Distinguished Fellow Award (2023) and POMS Fellow (2019). His research focuses on artificial intelligence, machine learning, blockchain, fintech, and cybersecurity, with over 240 publications in top journals and two books. He actively contributes to academic leadership as Deputy Editor of the Production and Operations Management Journal and Founding Executive Editor of Management and Business Review. Research Interests: Artificial Intelligence Machine Learning Blockchain Fintech Healthcare Analytics Social Media Analytics Supply Chain Analytics Awards: INFORMS ISS Distinguished Fellow Award (2023) POMS Fellow (2019) Changjiang Scholars Chair Professorship (China) Namesake Award: The Subodha Kumar and Geoffrey G. Parker Award for Digital Transformation Research Grants & Advising: Secured NIH grants, advises PhD students in Operations & Supply Chain Management, and oversees the Center for Business Analytics. His editorial roles include multiple top journals and conference leadership (e.g., POMS Annual Conference 2018). Labs/Teams: Leads the Center for Business Analytics and Disruptive Technologies, fostering innovation in analytics and tech-driven business strategies.

Agnieszka Roginskaمشاهده پروفایل

استاد

• Immersive Audio
• 3D Audio Technology
• Spatial Sound
• +۵ مورد دیگر

Agnieszka Roginska is a Professor of Music Technology at the Steinhardt School, New York University, specializing in immersive audio, spatial sound, and auditory displays. Her work integrates acoustic science with virtual reality and medical applications, including postural stability studies for vestibular rehabilitation. She holds leadership roles as AES President-Elect and co-edited the authoritative book 'Immersive Sound'. Education: B.A. in Piano Performance and Computer Applications in Music (McGill University, 1996); M.M. in Music Technology (NYU, 1998); Ph.D. in Music Technology (Northwestern University, 2004). Research focuses on 3D audio technologies, auditory displays for virtual environments, and sensory integration studies. She leads NYU's Music and Audio Research Lab (MARL) and advises the Society for Women in TeCHnology (SWiTCH) at NYU. Awards include AES Fellowship and leadership in international audio engineering societies. Recent publications emphasize audio's role in postural control, distributed music performance frameworks (Holodeck), and VR sound design. Her work bridges technical innovation with artistic applications, including collaborative music systems in mixed reality.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.

Brian M Dealمشاهده پروفایل

استاد

• Sustainable Planning
• Decision Support Systems
• Urban Land Use Modeling
• +۲ مورد دیگر

Brian M Deal serves as a Professor of Landscape Architecture within the School of Architecture at the University of Illinois at Urbana-Champaign, holding additional appointments in Urban and Regional Planning, the European Union Center, the Center for Latin American and Caribbean Studies, and the National Center for Supercomputing Applications (NCSA). His expertise bridges sustainable planning theory, energy systems, and spatial modeling to develop practical decision-support tools for community development and climate resilience. His educational foundation includes a PhD in Regional Planning (2002), Master of Architecture (1997), and BS in Architectural Studies (1983), all earned at the University of Illinois at Urbana-Champaign. Prior academic experience encompasses a decade of professional architecture practice and senior research at the Army Construction Engineering Research Laboratory (CERL), where he specialized in sustainable military facility design using spatial simulation. Deal's research centers on sustainable planning systems and climate adaptation, with current projects examining urbanization impacts on Korean rural amenities, advancing the University of Illinois' climate action plan (iCAP), and developing next-generation 'sentient' planning support systems. His work integrates land-use modeling, energy systems analysis, and decision-support technologies to address complex urban environmental challenges through interdisciplinary collaboration. Recent publications reveal a pronounced shift toward data-driven sustainability solutions, featuring AI applications for carbon-neutral planning, multi-scaled green infrastructure optimization, and socio-ecological modeling. Key themes include urban carbon sequestration, post-pandemic park dynamics, and climate-resilient coastal design, demonstrating consistent innovation in translating theoretical frameworks into actionable planning tools for real-world implementation. Professor Deal's scientific awards and honors were not detailed in the provided text. As faculty mentor to the Student Sustainability Committee and chair of campus sustainability planning efforts, Deal actively guides student development and institutional policy. His leadership of the LEAM Laboratory and SEDAC involves managing research grants focused on urban resilience, energy systems, and climate adaptation, fostering partnerships with government agencies and community organizations to deploy planning tools that directly impact community decision-making processes. Deal directs the Land Use Evolution and Impact Assessment Modeling (LEAM) Laboratory and Smart Energy Design Assistance Center (SEDAC), leading interdisciplinary teams in developing spatial simulation models and decision-support systems. His operational leadership extends to authoring the university's climate action plan and chairing campus sustainability committees, positioning him at the nexus of academic research, institutional policy, and community engagement for sustainable urban futures.

Lionel P. Robert Jr.مشاهده پروفایل

استاد

• Autonomous Vehicles
• Human-Robot Interaction
• Collaborative Robotics
• +۵ مورد دیگر

Affiliations & Roles Lionel P. Robert Jr. is a Professor of Information and Robotics at the University of Michigan, holding joint appointments in the School of Information and the College of Engineering's Robotics Department. He directs the Michigan Autonomous Vehicle Research Intergroup Collaboration (MAVRIC) and is an affiliate faculty member at the National Center for Institutional Diversity and Indiana University's Center for Computer-Mediated Communication. His roles include editorial board positions at journals like the Journal of Computer Information Systems and leadership in professional organizations such as ACM and IEEE. Education Ph.D. in Information Systems, Indiana University (BAT Fellow, KPMG Scholar) M.B. from Indiana University, Bloomington M.S. degrees from Clemson University and University of Louisiana, Lafayette B.S. from University of Louisiana, Lafayette Research Focus Robert's research bridges collaboration through technology, with a focus on human-robot interaction, autonomous vehicles, and virtual teams. His work addresses trust in automated systems, human-AV communication, and the sociotechnical implications of robotics in workplaces and public spaces. Recent projects explore explanations for automated vehicles, security robots' societal acceptance, and AI ethics in healthcare and labor. Key Contributions He has published over 100 peer-reviewed articles in journals like MIS Quarterly and conferences such as CHI and HRI. His research has been funded by NSF, Toyota Research Institute, and the Army Research Laboratory. Notable outcomes include frameworks for AV trust repair, models of human-robot team performance, and critiques of AI-driven labor practices. Awards & Recognition ACM Distinguished Member IEEE Senior Member Carnegie Junior Faculty Development Fellowship 3× Teaching Commendation (2006–2008) Grants & Labs Current grants include studies on explainable AI, human-AV trust dynamics, and security robot design. The MAVRIC lab focuses on AV-pedestrian interactions while the CCMC explores digital communication's societal impact.

Karim Aliمشاهده پروفایل

دانشیار

• Programming Languages
• Static Analysis
• Software Security
• +۸ مورد دیگر

Karim Ali is an Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), where he leads research in programming languages, static analysis, security, and compilers. He is affiliated with the Department of Computer Science within the College of Arts and Science. Prior to joining NYUAD, he served as an Associate Professor at the University of Alberta. His academic training includes a BSc from The American University in Cairo, and MMath and PhD degrees from the University of Waterloo, completed in 2014. BSc: The American University in Cairo MMath: University of Waterloo PhD: University of Waterloo (2014) His research focuses on making static analysis tools more practical by enhancing their scalability, precision, and usability. He investigates program analysis techniques applicable to real-world software, with applications in security, just-in-time compilation, and mobile app development. His work spans theoretical foundations and tool development, including the SWAN framework for Swift and contributions to secure cryptographic API usage through CogniCrypt. The recent publications reflect a strong trend in developer-centric static analysis, secure coding, energy efficiency in mobile apps, and compiler optimization. His work combines empirical studies with tool-building, emphasizing usability and integration into developer workflows. Scientific Awards: Dahl-Naygaard Junior Prize (2021) ACM SIGSOFT Distinguished Paper Award ACM SIGPLAN Distinguished Paper Award Distinguished Artifact Award, ECOOP 2014 Karim Ali has mentored numerous students and collaborated extensively with researchers worldwide. His lab has contributed tools adopted by major static analysis frameworks like Soot, WALA, and DOOP. He has secured research recognition through awards and industrial impact, including helping Symantec fix a security vulnerability. He teaches core courses such as Computer Systems Organization and supervises capstone projects, guiding students in original research. His lab conducts research on programming languages and static analysis, with projects including SWAN for Swift analysis, usability studies of static analysis tools, and development of precise pointer analysis techniques. The team works on both academic research and practical tooling for developers.

• Machine Learning
• Sentiment Analysis
• Online Learning
• +۹ مورد دیگر

Aamir Anwar is a researcher affiliated with the University of West London , focusing on interdisciplinary applications of artificial intelligence, machine learning, and human-computer interaction. His work bridges technology with education, healthcare, and cybersecurity, as evidenced by his publications on topics like emotion-aware online learning , malware detection in IoT devices , and smart systems for people with disabilities . Research Interests : Machine Learning, Sentiment Analysis, Online Learning, EEG Signal Processing, Smart Systems, Healthcare Informatics. Key Collaborations : Co-authored studies with researchers in cybersecurity, nursing education, and neuromarketing. Publication Trends : Recent articles span 2021–2024, emphasizing AI in education (emotion detection), deep learning for cybersecurity , and health-focused technologies (frailty assessment, seizure prediction).

• Behavior Genetics
• Family and Twin Studies
• Causal Modeling
• +۷ مورد دیگر

Miriam A. Mosing, PhD, is currently the Head of the Behavior Genetics unit at the Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany, a position she has held since August 2021. She also serves as an Associate Professor at the Department of Medical Epidemiology and Biostatistics and the Neuroscience Department at the Karolinska Institutet in Stockholm, Sweden, and holds a Develop Research Momentum (DRM) Senior Research Fellowship at the Melbourne School of Psychological Sciences, University of Melbourne, Australia. Dr. Mosing's primary research focuses on behavior genetics, specifically examining how genetic and environmental factors interact to influence individual differences in quality of life throughout the lifespan and expertise acquisition. Her work frequently uses musical expertise as a model domain to study these interactions. She investigates the complex relationships between cultural engagement (particularly musical and creative activities), mental health, social isolation, loneliness, stress, flow experiences, and overall well-being. Her research employs advanced methodologies including twin studies, causal modeling, and genome-wide association studies to disentangle the relative contributions of genetic and environmental factors. Her publication record demonstrates consistent contributions to understanding the genetic architecture of human behavior, with recent work examining dancer personalities, musical ability, cognitive aging, mental health outcomes, and gene-environment interactions in expertise development. Her research has significant implications for identifying causal pathways that could inform interventions to improve quality of life and mental health outcomes. Develop Research Momentum (DRM) Fellowship from the University of Melbourne (2020-2025) Marcus och Amalia Wallenbergs Foundation grant for 'Healthy learning' research (2018-2022) National Institute of Aging research project grant (2018-2022) Multiple Karolinska Institutet Fellowships for research on gene-environment interplay Dr. Mosing leads a research program that integrates large-scale twin studies with advanced genetic methodologies to understand the complex pathways through which genetic predispositions and environmental exposures jointly shape human development, health, and expertise. Her Behavior Genetics unit at the Max Planck Institute serves as a hub for international collaboration on these questions, working with twin registries and research groups across multiple countries.

Guido Zucconمشاهده پروفایل

استاد

• Information Retrieval
• Health Search
• Formal Models of Search
• +۱۵ مورد دیگر

Guido Zuccon is a Professorial Research Fellow at the School of Electrical Engineering and Computer Science , The University of Queensland (UQ), where he leads the Information Engineering Lab (ielab) . He serves as the AI Director for the Queensland Digital Health Centre (QDHeC) and is an Affiliate Professor at the UQ Centre for Health Services Research . He was previously a Lecturer and Senior Lecturer at Queensland University of Technology and a Postdoctoral Fellow at CSIRO. His research spans Information Retrieval , Health Search , Formal Models of Search , and Health Data Science , with a strong focus on consumer health search, cohort identification, clinical decision support, and systematic review automation. He has pioneered work on search interaction, semantic models, and the evaluation of retrieval systems in health contexts. His recent publications highlight a strong trend toward leveraging large language models (LLMs) for zero-shot retrieval, federated search, dense retrieval, and query formulation. His work integrates advanced neural methods with practical applications in healthcare, including systematic review automation and clinical AI. He frequently publishes at top venues such as SIGIR, ECIR, and WSDM, often in collaboration with key researchers like Bevan Koopman, Shengyao Zhuang, and Harry Scells. ARC DECRA Fellow (2018–2020) Best Paper Awards at AIRS 2017, CLEF 2016, ALTA 2015, ECIR 2012 Best Reviewer Award at ECIR 2014 Principal Investigator on ARC Discovery Projects and MRFF grants Guido Zuccon actively supervises a large cohort of PhD students, primarily in areas related to neural information retrieval, health search, and systematic review automation. He has led significant research projects funded by the ARC, Google, Microsoft, GRDC, and CSIRO. He is a key organizer of international evaluation labs such as the CLEF eHealth Consumer Health Search task and the TREC 2019 Decision Track. He leads the ielab , a vibrant research group focused on information retrieval and data science, and contributes to major open-source initiatives like Big Brother , a tool for logging user interactions in web studies.