جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Computer Mediated Communication
• Personal Information Management
• +۱۱ مورد دیگر

Steve Whittaker is Professor of Human-Computer Interaction at the University of California at Santa Cruz. He conducts interdisciplinary research at the intersection of social science and computer science, focusing on how technology affects human memory, communication, and personal information management. His current research explores human-centric AI systems, mental health technologies, and digital identity. His research interests center on designing interactive systems that support human needs in digital environments. He investigates how people manage digital information, remember personal experiences through lifelogging, and interact with conversational agents and social robots. His work emphasizes computational well-being, affective computing, and the social implications of technology use. He has made foundational contributions to the fields of personal information management (PIM), computer-mediated communication (CMC), and human-robot interaction. The recent publications reflect a strong trend toward mental health technology, human-AI interaction, and digital well-being. His work spans from theoretical models of emotion and memory to practical systems for mental health apps, chatbots, and immersive visualization. He frequently publishes in top-tier venues such as CHI, CSCW, and IUI, often in collaboration with researchers across disciplines. Lifetime Research Achievement Award from SIGCHI Fellow of the Association for Computational Machinery (ACM) Member of the CHI Academy Lasting Impact Award from ACM CSCW Best Paper Award at CSCW10 Best Paper Award at CHI07 Honourable Mention at ACM CHI 2020 Multiple best paper nominations at CHI, CSCW, and IUI MIT Siegel Prize Steve Whittaker has supervised numerous PhD and Master’s students, though specific names are not listed in the provided text. His research has been funded by major grants from NSF, NIH, and industry partners, enabling long-term studies on digital behavior and system development. He is Editor of the journal Human Computer Interaction and has authored over 200 peer-reviewed publications. His most recent book, The Science of Managing Our Digital Stuff (MIT Press), co-authored with Ofer Bergman, synthesizes decades of research on personal information management. He leads a vibrant research lab at UC Santa Cruz that focuses on human-centered computing, where students and collaborators work on projects involving AI, mental health, digital memory, and social interaction. The lab has produced influential work on lifelogging, email management, telepresence robots, and algorithmic transparency. The team employs mixed methods, combining qualitative studies with system design and evaluation.

• Electrical Power Systems
• Electrical Distribution Systems
• Distributed Generation
• +۱۲ مورد دیگر

Rachid Cherkaoui is a Senior Scientist at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering, specifically within the Department of Electrical Engineering. He is actively associated with research units SEL-ENS, EDEY-ENS, and DESL, contributing to the Distributed Electrical Systems Laboratory (DESL). His work focuses on advanced power system optimization, smart grids, and energy market modeling. Ph.D. in Electrical Engineering, EPFL, 1992 M.S. in Electrical Engineering, EPFL, 1983 Dr. Cherkaoui's research interests include electrical power and distribution systems, distributed generation, energy storage, electricity market deregulation, and power system vulnerability mitigation. His work bridges theoretical modeling and real-world applications, particularly in flexibility provision, grid resilience, and market integration of renewable energy. His recent publications (2020–2025) reflect a strong focus on smart grid technologies, energy storage integration, and market mechanisms. Key themes include optimal dispatch of hybrid systems, TSO-DSO coordination, frequency control, and stochastic optimization under uncertainty. His work is frequently published in top-tier journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid. ABB Swiss Award '83 Senior Member, IEEE Member, CIGRE Task Forces C5-2 IEEE Swiss Chapter Officer since 2005 Dr. Cherkaoui actively supervises doctoral students and collaborates extensively with researchers like Mario Paolone. He has contributed to numerous projects funded by industry, CTI/Innosuisse, and Horizon 2020. His research includes experimental validation and real-time control systems, particularly in hydropower and battery storage applications. He is also involved in national and international energy strategy discussions, including Switzerland's path to carbon neutrality.

• Labor Economics
• Education Economics
• Migration Studies
• +۳ مورد دیگر

Colin Peter Green is a Professor of Economics at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, where he serves in the Department of Economics within the Faculty of Economics. He also holds a research fellowship at the Institute of Labor Economics (IZA) in Bonn, Germany. Having earned his PhD from the University of Queensland in 2008, Green has established himself as a prominent researcher across multiple economic fields. Green's research spans labor economics, education economics, migration studies, health economics, political economy, and behavioral economics. His work frequently examines the intersection of these fields, with particular focus on how economic policies and structures impact individual behavior, educational outcomes, and well-being. Recent projects have investigated performance pay systems, political connections in business, refugee integration in educational settings, and the relationship between physical attractiveness and adolescent risk behaviors. His methodological approach typically employs rigorous empirical techniques applied to large-scale datasets from multiple countries. Green serves as Editor in Chief of the journal Education Economics and is an Associate Editor for the Journal of Economic Behavior & Organization (JEBO). He is also the organizer of the International Workshop on the Applied Economics of Education (IWAEE), demonstrating significant leadership in his academic community. His editorial roles and conference organization indicate substantial recognition from peers and influence in shaping research directions in education and labor economics. His extensive publication record includes articles in top journals such as Journal of Economic Behavior & Organization, Labour Economics, British Journal of Industrial Relations, and Journal of Population Economics. Green's research demonstrates consistent productivity with publications spanning from 2021 through 2025, covering diverse topics from the impact of bar closing hours on traffic accidents to the effects of political donations on UK democracy. Green maintains an active professional presence through his Bluesky account (@colinpgreen.bsky.social) where he engages with the academic community, shares conference announcements, and discusses research opportunities. His involvement in hiring PhD students and faculty positions at NTNU indicates ongoing commitment to departmental development and academic mentorship.

• Entrepreneurship
• Psychology of Entrepreneurship
• Entrepreneurial Well-being
• +۱۷ مورد دیگر

Professor Ute Stephan is a Professor of Entrepreneurship at King's Business School, King’s College London, where she is affiliated with the Strategy, International Management & Entrepreneurship department. She is a globally recognized scholar in the psychology of entrepreneurship, with a focus on entrepreneurial well-being, mental health, social entrepreneurship, and the role of culture and institutions. Research Interests: Entrepreneurial well-being, stress, and mental health Social and inclusive entrepreneurship Cross-cultural innovation and national culture Family business and women entrepreneurs Entrepreneurial resilience during crises (e.g., Covid-19) Feedback-seeking and social networks Her recent publications reveal a strong trend toward understanding the psychological and social dimensions of entrepreneurship, particularly how entrepreneurs navigate uncertainty, maintain well-being, and create inclusive impact. Her work integrates insights from organizational behavior, psychology, and management, often using cross-national data and meta-analytic methods. Scientific Awards and Recognition: 2025 JIBS Decade Award Fellow, International Association of Applied Psychology (IAAP) 21st Century Entrepreneurship Fellow Winner, 2016 GLOBE Robert J. House Best Research Paper Award Highly Commended, 2015 GLOBE Robert J. House Best Research Paper Award Nominee, 2021 Journal of Management Scholarly Impact Award She has secured over £3 million in research funding from the European Commission, UK Government, UK research councils, and German institutions. She serves as Associate Editor at Journal of Management and Entrepreneurship Theory & Practice , and previously held editorial leadership roles at Applied Psychology and Journal of International Business Studies . She is an elected board member of the IAAP and chairs its publication committee. She also advises the Founder Mental Health Pledge and is an IfM Research Fellow at IfM Bonn. Labs and Research Teams: Lead investigator of the 25-country study on Entrepreneurship & COVID-19 Principal investigator of the WEWell project on women entrepreneurs’ well-being Lead investigator of the SEFORIS and SELUSI projects on social enterprises Team member in large-scale international collaborations across Europe, Asia, and the Americas

• Computer Architecture
• Interconnection Networks
• Approximate Computing
• +۵ مورد دیگر

Natalie Enright Jerger is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She holds the Canada Research Chair in Computer Architecture and serves as Director of the Division of Engineering Science (2023-2028). Previously, she was the Percy Edward Hart Professor (2016-2019). She received her B.S. in Computer Engineering from Purdue University (2002), and M.S./Ph.D. in Electrical Engineering from University of Wisconsin-Madison (2004/2008). Her research focuses on: Multi/many-core architectures and on-chip networks Cache coherence protocols and memory hierarchy optimization Approximate computing and sustainable systems Intermittent computing for energy-harvesting devices Hardware acceleration for machine learning Her publications demonstrate strong emphasis on networks-on-chip (NoC) innovations, including routing algorithms, deadlock handling, power-efficient designs, and topology optimizations. Recent work expands into approximate computing, mobile architectures, and ML-driven hardware design. Major Awards: Fellow of Engineering Institute of Canada (2023) McLean Senior Fellow (2019) IEEE Micro Top Picks (2016) ACM/IEEE Microarchitecture Hall of Fame (2015) Sloan Research Fellowship (2015) Canada Research Chair (current) Distinguished Scientist, ACM Fellow, IEEE She leads the NEJ research group and collaborates with industry partners including Intel, AMD, Qualcomm, and IBM. Her work is funded by NSERC, CFI, and industrial grants. She co-chaired ASPLOS 2023 and HPCA 2014, and actively promotes diversity through WICARCH and ACM initiatives.

Helen Finchمشاهده پروفایل

استاد

• German Literature
• Holocaust Studies
• Queer Studies
• +۷ مورد دیگر

Professor Helen Finch (University of Leeds) is a leading scholar in German Literature , with a focus on Holocaust Studies , Queer Memory , and German-Jewish Cultural Production . Affiliated with the School of Languages, Cultures and Societies and the Centre for Jewish Studies , she co-leads the LCS Queer Area Studies Network and contributes to equality initiatives through the LGBT+ staff network . Research: Holocaust representation in German works, queer identity in postwar literature, transnational memory studies, curriculum design in German studies Awards: Fellow of the Higher Education Academy (2014) Academic Output : Her 15 most recent publications span Holocaust poetics , queer life writing , translation ethics , and Sebaldian intertextuality , with a particular focus on intersections between trauma , identity , and intergenerational testimony . Supervision : Currently guides PhD research on topics including transnational transphobia , queer art practices , and LGBTQ+ cross-cultural representation . Her students explore areas from German exile photography to postcolonial queer narratives .

Wang Ruobingمشاهده پروفایل

مدرس

• Contemporary Art
• Environmental Art
• Transcultural Discourses
• +۵ مورد دیگر

Dr. Wang Ruobing is a Lecturer in Fine Arts at LASALLE College of the Arts, Singapore. She is also an accomplished artist, educator, and independent curator. As co-founder of Comma Space (逗号空间), an artist-run experimental platform, she creates 'thinking spaces between commas.' Previously, she worked as a curator at the National Gallery Singapore before joining LASALLE. Dr. Wang holds a Doctor of Philosophy in Fine Art from Oxford University, UK; a Master of Arts from School of Oriental and African Studies and King's College London, University of London, UK; a Bachelor of Arts from Royal Melbourne Institute of Technology, Australia; and a Diploma of Arts from Nanyang Academy of Fine Arts, Singapore. Dr. Wang is deeply committed to exploring new ways of seeing and methods of knowledge production through her interdisciplinary artistic practice. Her work spans drawing, photography, sculpture, kinetic art, and installation, addressing critical environmental issues and engaging with transcultural discourses on identity and hybridity. With a particular focus on contemporary art in China and Southeast Asia, her research examines how artistic practices navigate cultural boundaries and create new forms of expression that reflect the complexities of our globalized world. She has presented her work at prestigious venues including National Gallery Singapore (2023), Yuan Contemporary Art Museum in Chongqing, China (2019), and Esplanade – Theatres on the Bay in Singapore (multiple exhibitions from 2004-2021). Dr. Wang's artistic trajectory shows a consistent evolution from individual identity explorations to broader environmental concerns. Recent works like 'Over the Horizon,' 'Beneath Tide, Running Water,' and 'Rainforest of the Sea' use marine debris to create kinetic sculptures that comment on ecological issues while maintaining aesthetic integrity. Her publications in Journal of Contemporary Chinese Art and Yishu demonstrate scholarly engagement with regional cultural development and cross-cultural artistic exchange. Dr. Wang has curated numerous significant exhibitions including 'Sites and Nature: A Collection of Remembering' (2023), 'Artist Conference' (2023), and 'Inbetween' (2021-2022). Her scholarly writings have appeared in respected publications such as the Journal of Contemporary Chinese Art (JCCA) and Yishu: Journal of Contemporary Chinese Art. Dr. Wang co-founded Comma Space (逗号空间), an artist-run experimental platform that serves as a laboratory for artistic experimentation and cross-disciplinary collaboration. Through this initiative and her teaching at LASALLE, she has created opportunities for emerging artists to develop their practices while engaging with critical social and environmental issues across Singapore and the broader Southeast Asian region.

Karen Livescuمشاهده پروفایل

استاد

• Speech Processing
• Language Processing
• Machine Learning
• +۵ مورد دیگر

Karen Livescu is a Professor at the Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed graduate institute for computer science located on the University of Chicago campus. She also serves as a courtesy faculty member in the Department of Computer Science at the University of Chicago and is an Affiliated Scholar at the Data Science Institute there. Her research focuses on advancing speech and language processing through innovative machine learning approaches. Education: PhD in Electrical Engineering and Computer Science from MIT (2005) S.M. from MIT Department of Electrical Engineering and Computer Science (1999) A.B. in Physics from Princeton University (1996) Karen's research spans multiple dimensions of speech and language processing with particular emphasis on speech recognition, spoken language understanding, and multimodal processing. She has made significant contributions to articulatory feature-based speech recognition, self-supervised learning for speech representation, and sign language processing. Her work consistently bridges machine learning techniques with linguistic and speech science knowledge, focusing on creating more robust, interpretable, and inclusive speech processing systems that can handle diverse languages and modalities. Her recent publication trajectory reveals a strong focus on self-supervised learning for speech representation, multilingual speech processing, and sign language understanding. She has been instrumental in developing benchmark frameworks like SUPERB and ML-SUPERB that have become standard evaluation tools in the speech community. Her work increasingly addresses critical challenges in low-resource language scenarios, language disparities in speech technology, and ethical considerations in real-world deployment. Scientific Awards: Best Paper award at EMNLP 2024 for 'Towards robust speech representation learning for thousands of languages' Best Student Paper Award at ASRU 2023 Best Short Paper Award at CRAC 2021 Top system at WMT-SLT 2023 Karen has successfully advised numerous PhD students and postdoctoral researchers who have gone on to faculty positions at institutions like University of Waterloo, University of Edinburgh, and Stellenbosch University, as well as industry roles at major technology companies including Google, Meta, and NVIDIA. Her research group has secured significant funding for projects including the development of the SLUE benchmark for spoken language understanding and the SUPERB framework for evaluating self-supervised speech models. She has been actively involved in organizing workshops and symposia that bring together researchers in speech and language processing. Karen leads the Speech and Language at TTIC (SL@TTIC) research group, which maintains a strong collaborative relationship with researchers at the University of Chicago and other institutions. The group has been particularly active in advancing sign language processing through projects like ChicagoFSWild and OpenASL, while also making significant contributions to spoken language understanding and multilingual speech recognition. Her team regularly participates in community challenges and benchmarks, helping to push the field forward through open science and collaborative evaluation frameworks.

Danyang Zhuoمشاهده پروفایل

استادیار

• Datacenter and Cloud Computing
• Machine Learning Systems
• Operating Systems
• +۳ مورد دیگر

Danyang Zhuo is an Assistant Professor of Computer Science at Duke University, Trinity College of Arts & Sciences, with expertise in datacenter/cloud computing and machine learning systems. He joined Duke in 2020 after postdoctoral research at UC Berkeley under Ion Stoica and a PhD at the University of Washington advised by Tom Anderson and Arvind Krishnamurthy. Education: PhD in Computer Science (University of Washington, 2019) His research focuses on improving cloud infrastructure through systems like Phoenix (application-level abstractions) and Phantora (GPU cluster simulation). Recent work explores LLM verification, tensor compression via video codecs, and fairness in LLM serving. His 15 most recent publications span operating systems, machine learning, and networked systems conferences like HOTOS, NSDI, SIGCOMM, and OSDI. Scientific honors include NSF CAREER Award (2023), USENIX Security Distinguished Paper (2023), and multiple industry research awards. He has secured major NSF grants for projects including "OS-Managed Remote Procedure Call" and "Campus-level RDMA Networking." At Duke, he advises PhD students and teaches courses such as Introduction to Operating Systems (CompSci 310) and Systems for Machine Learning (CompSci 590.05). His work appears in leading conferences and journals, with collaborations across institutions including UC Berkeley, University of Washington, and industry partners.

• Artificial Intelligence for Power Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Zita Vale is a Full Professor at the Institute of Engineering (ISEP) of the Polytechnic of Porto (IPP), where she holds the first Full Professor position since 2017. She is a co-founder of GECAD (1999) and coordinates GECAD's Power and Energy (PES) activities. GECAD is recognized by FCT since 2004 and classified as Excellent. She has served as GECAD director (2010-2017), vice-director (1999-2009, 2017-present), and is a member of the administration board. She is also co-founder and member of the coordination board of the National Associated Laboratory on Intelligent Systems. Her educational background includes a PhD (1993) and Agregação/Habilitation (2003) in Electrical and Computer Engineering from the University of Porto. She began her academic career at the University of Porto as a Teaching Monitor (1985), Assistant (1985-1993), and Professor (1993-1998) before moving to ISEP in 1998. Zita Vale's research focuses on the design and development of artificial intelligence-based models for Power and Energy Systems. Her work spans knowledge-based systems, multiagent systems, machine learning, metaheuristics, and semantics, with applications in smart grids, energy management, electricity markets, and renewable energy integration. She has an extensive international network and has participated in 80 R&D projects, raising over 22 million Euros for GECAD. Her recent publications demonstrate a strong emphasis on optimization techniques, explainable AI, energy storage systems, and the integration of distributed energy resources in power systems. She serves as Editor-in-Chief of Applied Energy (Elsevier), a leading journal in the field with an Impact Factor of 11.2. Her citation metrics are impressive, with over 17,000 citations on Google Scholar and an H-index of 64. Editor-in-Chief of Applied Energy (Elsevier) Over 17,000 citations on Google Scholar H-index of 64 Zita Vale has supervised 29 PhD students (25 completed) and 72 MSc students (66 completed), demonstrating her strong commitment to academic mentorship. She has also been involved in numerous international and national evaluation processes, including project proposals, faculty positions, and PhD juries across 15+ countries. She has contributed to over 225 evaluation processes from 2018-2023, including 150+ project proposals/execution, 50+ Faculty/Researchers positions, 2 Habilitation juries, and 25+ PhD juries. She leads GECAD's involvement in several major research initiatives, including the National Associated Laboratory on Intelligent Systems and various European projects such as IoTalentum, TRADERES, DOMINOES, and EcoRural-IoT from Horizon 2020, as well as PRODUTECH EU DIH from Horizon Europe. Her leadership extends to international organizations where she serves as President of Intelligent Systems Applications in Power (ISAP) and Technical Committee Program Chair of IEEE PES Analytic Methods for Power Systems Committee.

Stephen W. Kecklerمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Deep Learning Accelerators
• GPU Computing
• +۴ مورد دیگر

Stephen W. Keckler is an Adjunct Professor at the Department of Computer Science , The University of Texas at Austin , and serves as Vice President of Architecture Research at NVIDIA . He is an ACM Fellow , IEEE Fellow , and Sloan Foundation Research Fellow . Education: BS in Electrical Engineering, Stanford University (1990) SM in Computer Science, Massachusetts Institute of Technology (1992) PhD in Computer Science, MIT (1998) Research Interests focus on computer architecture for deep learning , GPU computing , and energy-efficient systems . His work explores memory compression , network-on-chip designs , and heterogeneous computing . Publication Trends highlight advancements in deep learning accelerators , GPU memory systems , and energy-efficient architectures . Notable themes include sparsity exploitation , multi-chip modules , and fault-tolerant GPU pipelines . Scientific Recognition : ACM Fellow IEEE Fellow Sloan Foundation Research Fellow Best Paper Awards at ASPLOS 2009 and ISPASS 2011 Laboratory Affiliations : Computer Architecture and Technology Laboratory (CART) TRIPS Project (Tera-Op Reliable Intelligently adaptive Processing System) NVIDIA Research

Marion Kantمشاهده پروفایل

مدرس

• Musicology
• Dance History
• Body Politics
• +۵ مورد دیگر

Dr Marion Kant is a Lecturer in the Department of German at the University of Cambridge's Faculty of Modern and Medieval Languages and Linguistics. Her work bridges musicology and dance history, focusing on body politics, the history and aesthetics of performance (theatre, opera, dance, ballet), German-Jewish relations, Nazi ideology, and anti-fascist exile. Her research explores the intersection of physical culture, nationalism, and avant-garde arts. She is currently editing a six-volume Cultural History of Dance for Bloomsbury, examining German nationalism and movement concepts from the 19th and 20th centuries. Her publications span German physical cultures, nationalist ideologies, and the role of dance in exile communities. Key Research Themes: Body aesthetics, German-Jewish assimilation, Nazi cultural policies, avant-garde movements, and transnational exile networks. Notable Projects: Analysis of Nazi-era dance policies, documentation of anti-fascist artists in Los Angeles, and historical studies of German physical cultures.

• Wireless Communications
• Signal Processing
• Physical Layer Security
• +۳ مورد دیگر

Georges Kaddoum is a Professor at École de technologie supérieure (ÉTS) , specializing in Electrical Engineering. He holds the Canada Research Chair in Unlocking the Power of IoT 6G-Networks and the LACIME – Communications and Microelectronic Integration Laboratory affiliation. His work bridges wireless communications, IoT, and machine learning. Research Interests include wireless communication systems, physical layer security, machine learning for networking, and 6G technologies. He focuses on optimizing network performance in challenging environments (impulsive noise, underwater, non-terrestrial networks) and developing AI-driven solutions for jamming mitigation, resource allocation, and secure IoT frameworks. Recent Publications highlight 6G-enabled vehicular networks, quantum-safe blockchain integration, federated learning for transportation systems, and deep learning-based receivers for chaotic communication systems. His work emphasizes semantic communication, interference management, and digital twin applications. Awards IEEE TCSC Award for Excellence in Scalable Computing (2022) Prix d’excellence de la relève (Université du Québec, 2018) Prix d’excellence en recherche (ÉTS, 2018) Multiple IEEE Exemplary Reviewer and Best Paper Awards (2014–2022) Supervision includes 15+ PhD/Master’s students working on topics like index modulation, physical layer security, UAV communications, and intelligent resource management. Research Units Ultra Research Chair on Intelligent Tactical Wireless Networks LACIME Laboratory Canada Research Chair in IoT 6G-Networks

Tariq Iqbalمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۷ مورد دیگر

Tariq Iqbal is an Assistant Professor at the University of Virginia , with joint appointments in the Department of Systems and Information Engineering and Department of Computer Science . He leads the Collaborative Robotics Lab (CRL) , specializing in human-robot teams and embodied AI . Previously, he was a Postdoctoral Associate at MIT's CSAIL , advised by Prof. Julie Shah , and earned his Ph.D. in Computer Science from University of California San Diego (UCSD) under Prof. Laurel Riek . Ph.D. in Computer Science, University of California San Diego (2017) M.S. in Computer Science, University of Texas at El Paso (2012) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) His research lies at the intersection of artificial intelligence and robotics , focusing on human-robot collaboration in dynamic environments. Key areas include motion prediction , multimodal fusion , trust modeling , and collaborative learning . His work integrates cognitive science and deep learning to enhance robotic fluency in naturalistic settings. Recent publications (2023–2025) highlight advancements in human-robot team dynamics , multimodal dataset creation , and motion prediction algorithms . Notable works include Energy-Based Transformers for scalable AI, PoseTron for motion prediction, and Accessible Navigation Mapping for assistive robotics. These contributions span trust modeling , cloud robotic infrastructure , and safety in close-proximity collaboration . National Science Foundation (NSF) CAREER Award Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award Commonwealth Center for Advanced Manufacturing (CCAM) Innovation Award As faculty, he has secured grants from NSF and AFOSR , mentored research students, and taught courses like Stochastic Modeling I (SYS 6005) and Robots and Humans (SYS 4582/6465, ECE 4502/6465, CS 6465) . His prior industry roles at IBM Watson Lab and Grameenphone Ltd. inform his applied research in telecom infrastructure and cognitive robotics . He leads the Collaborative Robotics Lab (CRL) at UVA, which develops multimodal datasets , real-time coordination algorithms , and adaptive pathfinding systems . Current projects explore human motion prediction , team synchrony , and embodied question-answering , reflecting his commitment to advancing human-robot fluency and contextual AI .

• Autonomous Driving
• Digital Twin
• Human-Machine Interaction
• +۳ مورد دیگر

Ziran Wang is an Assistant Professor in the Department of Civil Engineering at Purdue University's College of Engineering, appointed as new faculty in 2022. His research bridges digital twin technologies, autonomous driving systems, and human-machine interaction to advance intelligent transportation solutions. Ph.D. in Mechanical Engineering, University of California, Riverside Prior role: Principal Researcher at Toyota North America His work focuses on creating personalized autonomous driving experiences through machine learning, emphasizing safety and efficiency in real-world applications. Key areas include multimodal large language model integration, federated learning for privacy-preserving data sharing, and cooperative perception frameworks. He develops novel approaches for digital twin-based traffic simulation, medical emergency detection in vehicles, and human behavior modeling in complex urban environments. Analysis of his 2024-2025 publications reveals a dominant trend toward generative AI applications in autonomous driving, particularly for perception-prediction-planning integration and real-world validation. His research increasingly incorporates digital twins for safety-critical testing and explores medical applications through in-vehicle health monitoring systems. Dr. Wang advises graduate students including Wenhui Huang and leads the Purdue Digital Twin Lab, which develops advanced simulation and testing platforms for autonomous systems. His lab maintains strong industry partnerships with Toyota for real-world deployment and validation of research成果.