جستجوی استاد راهنمای دانشگاهی

Tamsin Spelmanمشاهده پروفایل

پژوهشگر

• Computational Biology
• Mathematical Biology
• Plant Biomechanics
• +۳ مورد دیگر

Tamsin Spelman is a Researcher at the Sainsbury Laboratory, University of Cambridge, where she has been a Research Associate in Professor Henrik Jönsson's group since January 2019. Her work bridges mathematics, biology, and engineering to study microscale phenomena in plant and biomedical systems. She earned her undergraduate and Master's degrees in Mathematics from the University of Cambridge in 2013, followed by a PhD in Mathematics from the same institution in 2017. Her doctoral research under Professor Eric Lauga focused on Artificial micro-devices: armoured microbubbles and a magnetically driven cilium . Prior to joining SLCU, she conducted microfluidic experiments at Université Grenoble Alpes and studied ocular blood flow at the University of Glasgow with Dr. Peter Stewart. Spelman's research centers on computational modeling of microscale systems, with expertise in plant biomechanics, microfluidics, and biomedical engineering. She investigates phenomena ranging from root hair development and cytoskeletal dynamics to retinal hemodynamics and microbubble propulsion. Her approach emphasizes close collaboration with experimentalists to ensure biological relevance and practical impact, as demonstrated in her science communication video on mathematics in plant science. Analysis of her 12 publications (2015-2025) reveals a clear evolution from fundamental fluid dynamics (2015-2017 bubble propulsion studies) toward biological applications. Since 2020, she has focused on plant cell mechanics—particularly microtubule organization under geometric constraints and root hair growth dynamics—while maintaining parallel work on ocular fluid mechanics. Her recent 2024-2025 publications demonstrate sophisticated modeling of vascular trauma responses and aqueous humor dynamics, showcasing her interdisciplinary approach. No scientific awards or fellowships were documented in the available information. Spelman has not supervised any students according to public records. Her research is supported by SLCU's core Gatsby Charitable Foundation funding alongside major grants from the Biotechnology and Biological Sciences Research Council (BBSRC), European Research Council (ERC), Human Frontier Science Program, and Wellcome Trust ISSF. She actively contributes to collaborative projects across multiple institutions. As a core member of the Jönsson Group, Spelman collaborates with Dr. Marie-Edith Chaboute and Dr. Atef Asnacios on plant cell biology projects, developing computational tools like Tubulaton for microtubule simulation. Her work with Dr. Peter Stewart on retinal hemorrhage modeling demonstrates her cross-disciplinary impact. She participates in SLCU's public engagement initiatives including the Cambridge Festival and Open Cambridge events.

Elizabeth Stoycheffمشاهده پروفایل

دانشیار

• Political Communication
• Digital Privacy
• Media Literacy
• +۵ مورد دیگر

Dr. Elizabeth Stoycheff serves as Associate Professor and program head of Journalism within Wayne State University's College of Fine, Performing and Communication Arts. She teaches media literacy, journalism, international communication, and quantitative methods while leading curriculum development for journalism programs and contributing to university governance as an Academic Senate member. Her academic credentials include: B.A. in Journalism and Political Science from the University of Iowa M.A. in Communication from The Ohio State University Ph.D. in Communication from The Ohio State University Stoycheff's research investigates how digital technologies reshape democratic engagement, with concentrated expertise in online surveillance's chilling effects, disinformation ecosystems, content moderation policies, and digital privacy frameworks. She examines these phenomena through political communication lenses, analyzing how platform architectures and government interventions influence public opinion formation and civic participation across diverse demographic groups. Her methodological approach integrates large-scale survey design with experimental analysis to quantify behavioral impacts of digital governance. Her publication trajectory reveals evolving scholarly focus from foundational internet-democracy relationships toward contemporary crises like pandemic-era online harassment and children's data vulnerability. Recent work demonstrates increasing interdisciplinary reach, connecting communication theory with child development research, privacy law, and public health frameworks while maintaining core commitments to press freedom measurement and democratic theory. Her scholarly recognition includes: Promising Professor designation from AEJMC College of Fine, Performing and Communication Arts Outstanding Teaching Award Scripps Howard Visiting Professorship in Social Media Wayne State Online Teaching Quality Fellowship Externally funded research initiatives include major grants from Facebook, WhatsApp, The Waterhouse Family Institute, and Caplan Foundation for Early Childhood, supporting investigations into platform governance and privacy impacts. As Associate Editor of Mass Communication & Society, she shapes field discourse while mentoring emerging scholars through program leadership. Her digital pedagogy innovations demonstrate commitment to translating research insights into educational practice, particularly regarding media literacy competencies for navigating complex information environments.

Kiran Bhaganagarمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Turbulence Modeling
• Atmospheric Boundary Layer
• +۳ مورد دیگر

Kiran Bhaganagar is Professor in the Department of Mechanical Engineering at The University of Texas at San Antonio, affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design. Her research focuses on computational fluid dynamics, turbulence modeling, and environmental fluid mechanics, with applications in wildfire smoke transport, wind energy systems, and atmospheric boundary layer dynamics. Research Interests Computational Fluid Dynamics (CFD) applied to atmospheric flows and renewable energy systems Turbulence modeling and extreme event detection in fluid flows Machine learning integration with physics-based simulations Environmental monitoring via UAV/UGV systems and sensor networks Wind turbine optimization and power forecasting Scientific Awards AIAA Associate Fellow (2019) Woman Physicist of the Month, American Physical Society (2017) Labs & Teams Leader in developing WRF-LES-bplume modeling frameworks Developer of PyPlume and bPlume-WRF-LES tools Collaborator on environmental sensing UAV/UGV systems

Saphira Rekkerمشاهده پروفایل

مدرس ارشد

• Sustainable Finance
• Climate Change Mitigation
• Corporate Decarbonization
• +۳ مورد دیگر

Dr. Saphira Rekker is a Senior Lecturer in Sustainable Finance at The University of Queensland's School of Business (Faculty of Business, Economics and Law) and a Senior Research Fellow at the UQ Dow Centre for Sustainable Engineering Innovation (Faculty of Engineering, Architecture and Information Technology). Her work bridges finance and climate science to develop tools for measuring corporate decarbonization commitments. Her educational background includes a PhD in Finance, Graduate Diploma in Environmental Management and Sustainability, and Master's (Coursework) from Tilburg University. Key qualifications: Doctor of Philosophy, The University of Queensland Graduate Diploma of Environmental Management and Sustainability, The University of Queensland Masters (Coursework), Tilburg University Rekker's research focuses on Paris Agreement compliance measurement, science-based target methodologies, and corporate climate accountability. She leads the Are You Paris Compliant program (UQ/Oxford/Princeton collaboration) and contributes to the Science Based Targets initiative's oil and gas working group. Her work directly informs EU climate benchmarking regulations and has driven global attention through publications in Nature Climate Change and Nature Communications . Her publication trends reveal three dominant themes: (1) Corporate climate performance metrics (e.g., Paris Compliance frameworks), (2) Fossil fuel industry alignment with 1.5°C pathways, and (3) Cross-border capital flows in decarbonization. Recent work increasingly integrates equity principles and examines climate activism drivers across 88 countries. Award highlights: ARC DECRA Fellowship (2024-2027, $430k+) Best Paper Award 2021 ( Business & Society ) UQBS Excellence in Innovation Award UN Responsible Investment Essay Competition (2018) She actively supervises PhD candidates on Paris alignment in finance and corporate compliance while securing $780,074.26 across six grants including the ARC DECRA project 'Paris-compliance: assessing companies and portfolios'. Her industry collaborations include Norges Bank Investment Management and Aurecon Australasia. Rekker also co-leads Australia's first Carbon Literacy course and serves as UQ's Unisuper academic representative. Rekker directs the Are You Paris Compliant program and contributes to the Dow Centre's E-Mobility and Green Hydrogen Production research streams. She serves on the Science Based Targets initiative's Technical Working Group for oil and gas and advises the EU on climate benchmarking regulations through quantified methodologies that survived multiple regulatory revisions.

Idris Adjeridمشاهده پروفایل

دانشیار

• Economics of Privacy
• Health Care Technologies
• Behavioral Economics
• +۳ مورد دیگر

Idris Adjerid is an Associate Professor in Business Information Technology at Virginia Tech's Pamplin College of Business, holding a Ph.D. in Information Systems from Carnegie Mellon University and prior degrees from Virginia Tech. His research bridges behavioral economics with privacy and healthcare technology economics. Ph.D., Information Systems and Management, Carnegie Mellon University MBA, Virginia Tech Bachelor's in Business Information Technology, Virginia Tech Research interests span privacy economics, healthcare technology, and behavioral decision-making. Key journals include Management Science, Information Systems Research, and MIS Quarterly, with media coverage in The New York Times and Wall Street Journal. Recent publications focus on sepsis treatment algorithms, GDPR impact on consumer consent, wearable health device gamification, and cybersecurity incentive alignment. Articles demonstrate interdisciplinary applications of econometrics and behavioral science.

• Tourism Economics
• Event Impact Analysis
• Regional Socio-Economic Development
• +۵ مورد دیگر

Kai Kronenberg serves as Senior Lecturer in Tourism Studies at Mid Sweden University's Department of Economics, Geography, Law and Tourism (EJT), affiliated with the European Tourism Research Institute (ETOUR). His work bridges academic research with practical applications in tourism economics and regional development. His educational foundation includes: B.Sc. in Business Administration (Transport and Logistics) from University of Applied Science Nürtingen-Geislingen M.Sc. in Tourism Studies from Mid Sweden University Ph.D. in Tourism Studies (specializing in tourism economics) from Mid Sweden University Kronenberg's research pioneers occupation-based modeling of tourism's socio-economic impacts, with particular focus on distributive effects across employment sectors and income levels. His methodology integrates spatial analysis and non-use value assessment to evaluate community-level impacts of events and tourism. Recent work advances circular economy applications in tourism and aligns impact metrics with UN Sustainable Development Goals, demonstrating how tourism can drive just transitions in regional economies. He develops practical evaluation frameworks for destination managers while maintaining rigorous academic standards. His publication trajectory reveals evolving methodological sophistication, shifting from traditional economic impact studies toward integrated sustainability assessments. Current work emphasizes justice dimensions in tourism employment and circular economy transitions, with strong regional focus on northern Sweden's development challenges. The consistent partnership with M. Fuchs across multiple publications indicates a productive research collaboration spanning event impacts, SDG alignment, and circular economy applications. No scientific awards are documented in the provided materials. Kronenberg actively contributes to research funding initiatives: Current Projects: Enhancing Entrepreneurship in Rural Areas through Local Food Systems Regenerative Economic Transfers for Universal Resilience in the North (RETURN) Completed Projects: Building social value competency ahead of a Winter Olympic bid New perspectives on tourism, events and regional development As core faculty within ETOUR, Kronenberg participates in a dynamic research ecosystem focused on tourism's role in sustainable regional development. His work directly informs practical guides for event evaluation and tourism impact assessment, bridging academic rigor with destination management applications while addressing contemporary challenges like post-pandemic recovery and climate resilience.

Veronique Boisvertمشاهده پروفایل

استاد

• Particle Physics
• Top Quark Physics
• Experimental Particle Physics
• +۸ مورد دیگر

Veronique Boisvert is a Professor of Experimental Particle Physics at the Department of Physics, Royal Holloway, University of London (RHUL). She holds positions at both the Department of Physics and the Centre for Particle Physics and Astronomy. Boisvert has been an active member of the ATLAS collaboration at CERN, with research focusing on top quark physics and detector development. Her educational background includes: BSc in Physics from Universite de Montreal (1995) PhD from Cornell University working on the CLEO detector CERN fellowship (2002) Marshak Fellowship at the University of Rochester Boisvert's research primarily centers on top quark physics using the ATLAS detector at CERN. As the most massive known particle, the top quark has special significance in understanding electroweak symmetry breaking. She is an expert in identifying jets originating from b quarks, which is crucial for top quark studies. Her work extends to ATLAS detector upgrades, particularly focusing on trigger systems that could utilize tracking information at the hardware level. She also maintains interests in future colliders and climate change science. Analysis of her recent publications reveals consistent focus on high-energy physics experiments with the ATLAS detector. Her work spans detector simulation, track reconstruction, heavy ion collisions, and searches for new physics beyond the Standard Model. The research demonstrates strong computational physics elements alongside experimental particle physics. Boisvert has held significant administrative roles including: Senior Tutor Chair of the Curriculum Development Group Research and Resources Committee secretary Outreach Coordinator Chair of the Women in Physics group Admissions Tutor (2014-2016) She leads multiple research projects funded by the Science & Technology Facilities Council (STFC), including the Responsive PDRA applications, ATLAS detector upgrade, and Consolidated Grant for the Centre for Particle Physics. Her research contributes to UN Sustainable Development Goals related to climate action and affordable clean energy. Boisvert teaches PH3520: Particle Physics and supervises BSc and MSci final year projects. She also serves as the 2nd year Lab coordinator and has previously taught 2nd year Math courses for physicists. In 2011, she was invited to participate in the Royal Holloway Women in Research Lecture Series.

Sydney C. Ludvigsonمشاهده پروفایل

استاد

• Financial Economics
• Macroeconomics
• Applied Time Series Econometrics
• +۷ مورد دیگر

Sydney C. Ludvigson is a Julius Silver, Roslyn S. Silver, and Enid Silver Winslow Professor of Economics and Finance at New York University. She is affiliated with the Department of Economics within NYU's College of Arts & Science and serves as Co-Director of the NBER Program on Asset Pricing and Vice President of the American Finance Association. Education: Ph.D., Princeton University, Economics (1996) M.A., Princeton University, Economics (1995) B.A., University of California at Los Angeles, Economics (1991) Ludvigson's research focuses on the interplay between asset markets and macroeconomic activity, including the role of monetary policy in market fluctuations, systematic errors in macroeconomic expectations, machine learning applications to human judgment, risk premia in stock/bond/housing markets, wealth inequality effects on valuations, and dynamic causal effects of uncertainty in business cycles. Scientific Awards: Edward Mills Best Paper Award in Real Estate Economics (2021) Best Paper Prize, Utah Winter Finance Conference (2010) Her work has been supported by collaborations with institutions like the NBER and contributions to journals such as the Journal of Political Economy , American Economic Review , and The Journal of Finance . She has developed uncertainty indexes and bias-tracking tools using machine learning, with applications in inflation and GDP growth forecasting.

Eric Sommerladeمشاهده پروفایل

پژوهشگر

• Active Vision
• Surveillance Systems
• Visual Tracking
• +۹ مورد دیگر

Eric Sommerlade is a Post-Doctoral Research Assistant in the Active Vision Group at the University of Oxford Engineering Department . He completed his DPhil in Engineering Science in 2011, focusing on surveillance with active cameras , and previously earned a Diploma in Electrical Engineering from the Technical University of Hamburg. Education : DPhil in Engineering Science (2011), University of Oxford; Diploma in Electrical Engineering, Technical University of Hamburg His research centers on active vision systems for surveillance, particularly visual tracking , camera control algorithms , and information-theoretic approaches to sensor planning. Key themes include multi-camera coordination , trajectory prediction , and real-time SLAM for surveillance simplification. Eric has contributed to 15 publications (2008–2012) spanning conferences like ICRA, CVPR, IROS, and BMVC, with a focus on surveillance systems , visual tracking , adaptive control , and information theory . His work includes probabilistic multi-camera surveillance, cognitive active vision, and entropy-driven exploration strategies. He received funding for his DPhil through the EC grant IST-027110 for the HERMES project under the EU's Sixth Framework Programme. He has collaborated with researchers such as Professor Ian Reid, Ben Benfold, and Nicola Bellotto. Eric has also engaged in teaching activities , including demonstrating Electrical Machines, Computing Labs, and C++ coursework modules. His professional contributions extend to peer reviewing for leading conferences and journals.

• Artificial Intelligence
• Quantum Machine Learning
• Deep Learning
• +۶ مورد دیگر

Prayag Tiwari is a Senior Lecturer at Halmstad University's School of Information Technology, where he conducts cutting-edge research at the intersection of artificial intelligence, quantum computing, and healthcare applications. With an SMIEEE designation and an active research profile, Dr. Tiwari contributes significantly to both academic and practical advancements in intelligent information systems. His research interests span a diverse spectrum including Artificial Intelligence, Quantum Machine Learning, Deep Learning, Healthcare, Bioinformatics, NLP/LLM, Computer Vision, Multimodal Learning, and Intelligent Systems. This interdisciplinary focus enables him to tackle complex problems across multiple domains, particularly in developing quantum-inspired algorithms for healthcare applications and advancing multimodal learning techniques for real-world challenges. Dr. Tiwari's publication record demonstrates consistent high-impact contributions across multiple domains, with recent work showing a clear trend toward quantum machine learning applications, particularly in healthcare and bioinformatics. His research frequently combines traditional deep learning approaches with quantum computing principles to develop novel solutions for drug interaction prediction, medical data processing, and multimodal analysis. The interdisciplinary nature of his work is evident in publications spanning computer vision, natural language processing, and blockchain applications for healthcare security. 2022 Best Paper Award for a publication in Neural Networks Multiple Highly Cited Papers in various journals Editor for Neural Networks and IEEE Transactions on Fuzzy Systems As an academic leader, Dr. Tiwari serves as an editor for prestigious journals including Neural Networks and IEEE Transactions on Fuzzy Systems, contributing to the advancement of knowledge in his fields of expertise. His extensive publication record in top-tier venues such as TMLR, IJCV, TNNLS, AAAI, ACL, CIKM, ICASSP, ECIR, and ECML demonstrates significant scholarly impact. While specific grant information isn't detailed in the provided materials, his research output suggests active funding for projects in quantum machine learning and healthcare applications. Dr. Tiwari's work appears to be conducted within collaborative research environments at Halmstad University, particularly within the School of Information Technology's research groups focused on artificial intelligence and quantum computing applications. His publications frequently involve multi-institutional collaborations, suggesting active participation in both national and international research networks focused on advancing machine learning techniques for practical applications.

Patricia Coutoمشاهده پروفایل

استادیار مهمان

• Oral Health
• Gerodontology
• Epidemiology
• +۳ مورد دیگر

Patricia Couto is a Visiting Assistant Professor at the Faculty of Dental Medicine of Universidade Católica Portuguesa and a researcher at the Precision Oral Health Platform: 4-All Lab within the Center for Interdisciplinary Research in Health (CIIS). Her academic credentials include a Master's degree in Dental Medicine (2013), a postgraduate in Oro-Maxillofacial Pathology (2014), and a PhD in Biomedicine (2018). Her research focuses on identifying oral health challenges in special populations, particularly the elderly and individuals with intellectual disabilities, and evaluating their impact on quality of life. She emphasizes epidemiological assessments, resource allocation for patient needs, and systematic monitoring of public health priorities. Patricia Couto has contributed to numerous scientific publications and abstracts presented at national and international conferences. She also teaches Oral Medicine and Gerodontology at Universidade Católica Portuguesa.

Yizheng Chenمشاهده پروفایل

استادیار

• Artificial Intelligence Security
• Large Language Models
• Code Generation Security
• +۴ مورد دیگر

Yizheng Chen is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, with a joint appointment at the University of Maryland Institute for Advanced Computer Studies (UMIACS). She holds a Ph.D. in Computer Science from Georgia Institute of Technology and completed postdoctoral research at UC Berkeley and Columbia University. Her research focuses on the intersection of Artificial Intelligence and Security , including: Developing AI techniques for security challenges (malware/vulnerability detection, fraud prevention) Enhancing robustness of machine learning models against adversarial attacks Securing AI coding assistants and LLM-based code generation Analyzing security/privacy risks in AI agents and web-based AI systems Creating datasets and benchmarks for vulnerability detection (e.g., DiverseVul) Her recent publications demonstrate strong emphasis on AI security applications , particularly in malware detection (Android/PDF systems), vulnerability analysis using language models, adversarial robustness techniques, and security implications of AI agents. Research consistently addresses practical security challenges through machine learning innovations. Awards and Honors: ACM CCS Best Paper Award Runner-up (2021) NSF CAREER Award Google ASPIRE Award Anita Borg Memorial Scholarship Top 10 Finalist, CSAW Applied Research Competition (2023, 2017) She leads a research group focused on AI security and actively recruits PhD students. Major grants include NSF CAREER and Google ASPIRE awards supporting work on secure code generation and LLM security.

Kay E Holekampمشاهده پروفایل

استاد

• Behavioral Ecology
• Evolutionary Biology
• Mammalian Behavior
• +۳ مورد دیگر

Kay E Holekamp is a University Distinguished Professor in the Department of Integrative Biology at Michigan State University's College of Natural Science. Her research focuses on the complex interplay between social, ecological, and endocrine factors in mammalian behavioral development and evolution, particularly in spotted hyenas. Smith College (B.A.) University of California, Berkeley (Ph.D.) Michigan State University (1986-present) For over three decades, Holekamp's lab has conducted longitudinal fieldwork in Kenya's Maasai Mara, maintaining an exhaustive database tracking hyena behavior, social networks, and physiological traits. This work has produced groundbreaking insights into social inheritance, parasite-induced behavioral changes, and the evolutionary basis of animal cognition. Notable scientific recognitions include: 2019 Distinguished Animal Behaviorist Award (Animal Behavior Society) 2017 MSU Graduate School Outstanding Faculty Mentor Award Holekamp has mentored numerous students and researchers, including: Dr. Lily Johnson-Ulrich (PhD in Animal Behavior) Dr. Eli Strauss (J. Animal Ecology, PNAS publications) Dr. Julie Turner (Ethology cover study on personality) Dr. Zachary Laubach (Nature Communications epigenetics work) The Holekamp Lab maintains the Mara Hyena Project, one of the most extensive animal behavior databases globally, and collaborates with institutions including University of Pennsylvania, Bar-Ilan University, and University of Nebraska.

Ricardo Eirisمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Construction Engineering
• Educational Technology
• +۱۲ مورد دیگر

Ricardo Eiris is an Assistant Professor at Arizona State University's School of Sustainable Engineering and the Built Environment. His research integrates emerging technologies to enhance human performance in construction workforce training and education. Education Ph.D. in Design, Construction, and Planning, University of Florida (2020) M.S. in Digital Arts and Science, University of Florida (2020) M.S. in Construction Management, University of Florida (2016) M.S. in Civil Engineering, University of Florida (2016) B.S. in Civil Engineering, Universidad Metropolitana - Venezuela (2013) Research Focus His work spans three interconnected domains: (1) AI-Enabled Metaverse for workforce education transformation, (2) Extended Reality (AR/VR/MR) for hazard visualization, and (3) Drone Operations for inspection training. He develops immersive environments like iVisit and DroneSim to address safety and training gaps. Scientific Contributions 2024: 360-degree digital twins for task detection 2023: Social equity in PPE accessibility 2022: Multiuser VR site visit frameworks 2021: Drone flight visualization systems 2020: Comparative VR vs traditional safety methods Honors & Awards ASC VDC Faculty Boot Camp Fellowship (2024) ASC International Best Conference Paper Award (2023) ASC Mechanical & Electrical Faculty Fellowship (2022) ASCE ExCEEd Fellowship (2021) National Academies STEM Education Competition Winner (2020) Teaching & Leadership He teaches courses in construction technology and advanced research methods. Leads the Human-Centered Technology in Construction (HCTC) Research Group, focusing on technology-driven safety and workforce development.

Vijay Kumarمشاهده پروفایل

استاد

• Robotics
• Autonomous Systems
• Machine Learning
• +۳ مورد دیگر

Vijay Kumar is the Nemirovsky Family Dean of Penn Engineering and holds faculty appointments in the Departments of Mechanical Engineering and Applied Mechanics , Computer and Information Science , and Electrical and Systems Engineering at the University of Pennsylvania . Bachelor of Technology, Indian Institute of Technology Kanpur PhD, The Ohio State University (1987) Research Interests: Vijay Kumar's work spans robotics , autonomous systems , and machine learning , focusing on trajectories, control, and collaboration. Key subfields include quadrotor dynamics , semantic SLAM , multi-robot coordination , event-based vision , and LLM integration for robotic systems. His research addresses challenges in autonomous flight , resilient control , and agricultural robotics . Recent Publication Trends: Over the past two years, Kumar's research has emphasized language-specified missions , event camera applications , neural radiance fields , and time-optimal path planning for quadrotors and multi-robot teams. Notable themes include safety guardrails for LLM-powered robots , 4D metric-semantic mapping , and adaptive replanning in dynamic environments . Scientific Awards: Fellow, AAAS (2021) Fellow, ASME and IEEE ASME Mechanisms and Robotics Award (2012) IEEE Distinguished Service Award (2012) Engelberger Robotics Award (2014) IEEE Pioneer Award (2018) Elected to National Academy of Engineering (2013), American Philosophical Society (2018), and American Academy of Arts and Sciences (2022) Advising and Leadership: Kumar has mentored numerous PhD students who have won Best Student Paper Awards at major robotics conferences. He founded the General Robotics, Automation, Sensing and Perception Lab (GRASP) at Penn, which has spun off multiple robotics startups like Exyn Technologies . He has served on editorial boards of leading journals and held advisory roles in national science policy.