جست‌وجوی استاد و پژوهشگر

Scott Niekumمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Machine Learning
• +۴ مورد دیگر

Scott Niekum is an Associate Professor in the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, where he directs the Personal Autonomous Robotics Lab (PeARL). Previously, he held assistant and associate professor positions at the University of Texas at Austin (2015–2022). He earned his PhD in Computer Science from UMass Amherst in 2013 and completed a postdoctoral fellowship at Carnegie Mellon University's Robotics Institute (2013–2015). His research focuses on enabling robots to learn autonomously through interactions with humans and environments, emphasizing safe and efficient algorithms. Key areas include reinforcement learning, imitation learning, human-robot collaboration, and safety guarantees. His work bridges robotics and machine learning to address challenges like reward design, causal reasoning, and generalization from limited data. Notable contributions include the EMPATHIC framework for task learning via implicit human feedback, the PeARL lab's advancements in gaze-guided robotics, and scalable methods for offline reinforcement learning. He has been recognized with the NSF CAREER Award (2023), AFOSR Young Investigator Award, and teaching excellence honors. Dr. Niekum actively serves on conference committees (NeurIPS, ICML, RSS) and journals, promoting rigorous research standards. His lab's innovations aim to deploy autonomous systems in real-world settings like homes and workplaces with minimal expert intervention.

Beverly Woolfمشاهده پروفایل

استاد پژوهشی

• Educational Computer Science
• Intelligent Tutoring Systems
• Multimedia Systems
• +۲ مورد دیگر

Beverly Woolf is a Research Professor at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst, and director of the Advanced Learning Technologies Lab. With over 20 years of experience, her work focuses on educational computer science, intelligent tutoring systems, and multimedia systems. Education: PhD in Computer Science, University of Massachusetts EdD in Education, University of Massachusetts MS in Computer Science, University of Massachusetts BA in Physics, Smith College Research Interests: Beverly’s research combines artificial intelligence with education to develop intelligent interactive tutors and advanced learning technologies. She has contributed to multimedia systems design and global educational training programs. Scientific Awards: Presidential Innovation Fellow (2013) AAAI Fellow Multiple best paper/poster/video awards Grants & Affiliations: She served as a Presidential Innovation Fellow at the U.S. National Science Foundation and has participated in panels, conferences, and editorial boards internationally, including IEEE Computer and AAAI Spring Symposium.

Shlomo Zilbersteinمشاهده پروفایل

استاد

• Artificial Intelligence
• Automated Reasoning
• Planning under Uncertainty
• +۷ مورد دیگر

Shlomo Zilberstein is a Professor of Computer Science and former Associate Dean of Research and Engagement at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. He directs the Resource-Bounded Reasoning Lab and holds a B.A. from Technion – Israel Institute of Technology and a Ph.D. from UC Berkeley. His research focuses on automated reasoning, planning under uncertainty, multi-agent systems, and decision-theoretic principles for autonomous agents. He has pioneered work on decentralized Markov Decision Processes (DEC-MDPs) and meta-reasoning mechanisms to optimize deliberation under computational constraints. Dr. Zilberstein has received prestigious awards, including the 2025 ACM/SIGAI Autonomous Agents Research Award, the 2019 AAAI Distinguished Service Award, and the 2019 IFAAMAS Influential Paper Award. He has served as Editor-in-Chief of the Journal of Artificial Intelligence Research and held leadership roles in AAAI, ICAPS, and the AI Access Foundation. His research spans theoretical foundations and practical applications in autonomous systems, including safe AI, ethical decision-making, and human-centered AI. He has led multi-institutional grants, such as a $5M NSF grant to improve causal decision-making and a Schmidt Science grant for multi-agent AI safety. Zilberstein’s work emphasizes balancing computational efficiency with rational action in uncertain environments, with applications in robotics, self-driving vehicles, and collaborative systems. His lab develops frameworks for competence-aware autonomy, introspective perception, and explainable AI systems.

Man Qiمشاهده پروفایل

پژوهشگر ارشد

• Ecology
• Conservation Biology
• Population Dynamics
• +۳ مورد دیگر

Dr. Man Qi is a Marie Curie Research Fellow at the University of Oxford's Department of Biology, affiliated with the SalGo team. Her research focuses on understanding how plants and animals mitigate competition, enhance population resilience, and maintain ecosystem stability under environmental changes. She applies mechanistic insights to inform conservation and restoration efforts. Her work emphasizes transient population dynamics under stress, linking individual fitness traits to population density responses. Key research areas include biodiversity monitoring through innovative technologies like drones, hyperspectral cameras, and AI-driven ecological analysis. Dr. Qi’s publications highlight interdisciplinary approaches, combining ecological theory with engineering and computer science to address climate change impacts, invasive species detection, and coastal resilience. She has contributed to over 20 peer-reviewed articles since 2015, with recent focuses on LIDAR applications, machine learning in ecology, and phenology desynchronization. Awards: Marie Curie Fellowship (2023–Present) Lab/Team: Member of the SalGo team at the University of Oxford Advising: No formal advisees listed

Fakhri Karrayمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Information Fusion
• +۷ مورد دیگر

Roles and Affiliations: Fakhri Karray is a Professor and Loblaws Research Chair in Artificial Intelligence at the University of Waterloo’s Department of Electrical and Computer Engineering. He co-founded the Waterloo Artificial Intelligence Institute as its founding co-director. He is also the Chief Scientist of Yourika.ai. Research Interests: His work focuses on intelligent systems design, machine learning, multi-sensor data fusion, cognitive robotics, and smart mobility. Applications include IoT, virtual care, and natural man-machine interaction. He has authored over 20 US patents and co-authored the textbook Soft Computing and Intelligent Systems Design (2004). Editorial Contributions: He serves as an Associate Editor for IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning, and the Elsevier Journal of Information Fusion. He has held editorial roles for multiple journals and conferences. Awards and Recognition: Notable honors include Fellowships from IEEE, the Canadian Academy of Engineering, and the Engineering Institute of Canada. He has delivered keynote/plenary talks at over 20 international conferences since 2002 and received the IEEE Distinguished Lecturer designation (2016). Leadership and Outreach: He has chaired/co-chaired numerous international conferences, including the IEEE International Conference on Automation and Logistics and the International Conference on Image Analysis and Recognition. He actively promotes interdisciplinary research through initiatives like the Center for Pattern Analysis and Machine Intelligence (CPAMI). Industry and Innovation: His research on deep learning for driver behavior analysis has been featured in major media outlets (The Washington Post, CBC, etc.). He holds 20 registered US patents and leads applied AI projects in healthcare and smart systems.

Scott Bassettمشاهده پروفایل

استاد

• Environmental Planning
• Urban Growth Modeling
• Spatial Modeling
• +۴ مورد دیگر

Dr. Scott Bassett serves as the Associate Dean for the College of Science at the University of Nevada, Reno, overseeing research functions, proposal development, and technological advancement. He holds a D.Des. in Landscape Architecture and Environmental Planning from Harvard University, an M.S. in Fisheries and Wildlife Ecology from Utah State University, and a B.S. in Geography and Anthropology with a Computer Science minor from Utah State University. His research focuses on environmental planning, urban growth modeling, spatial modeling, and GIS applications in conservation biology. **Research Interests:** Environmental planning strategies for sustainable land use GIS-driven spatial analysis of ecological systems Climate change impacts on hydrology and wildlife habitats Urban-rural interface management His recent work explores alternative land-use scenarios for natural resource management, drought dynamics in the western U.S., and human-wildlife interaction in urban ecosystems. Articles highlight interdisciplinary collaboration across ecology, climatology, and policy. He has advised students on projects involving avian predator behavior, tortoise population connectivity, and Burning Man urban planning scenarios. **Grants & Labs:** Engaged in projects funded by USDA Forest Service and OSU Institute of Natural Resources. Co-developed GIS tools for forage optimization and paleoclimate modeling. **Labs/Teams:** Active in geospatial research groups focused on environmental decision support systems and climate adaptation frameworks.

Han Hongمشاهده پروفایل

استاد

• Econometrics
• Health Econometrics
• Statistical Modeling
• +۲ مورد دیگر

Han Hong is a Professor of Economics at Stanford University's Department of Economics. He holds a Ph.D. in Economics (1998), M.S. in Computer Science (1998), and M.S. in Statistics (1997) from Stanford University, and a B.A. in International Trade from Zhongshan University (1993). His research focuses on econometric methodology, health econometrics, statistical modeling, and computational economics. He has developed innovative approaches for panel data analysis, structural estimation, and decision-making algorithms. Professor Hong has received numerous honors including the Willard G. Manning Memorial Award (2017), Arrow Award Honorable Mention (2015), and multiple NSF grants. He serves as Co-Editor of the Journal of Econometrics and is a Fellow of the Econometric Society. He teaches courses in Advanced Econometrics, Data Science, and Econometric Methods, and mentors students through honors thesis research and directed reading programs.

Sungyeon Hongمشاهده پروفایل

مدرس

• Complex Adaptive Systems
• Topological Data Analysis
• Pattern Formation
• +۵ مورد دیگر

Sungyeon Hong is a Lecturer at the School of Cybernetics, The Australian National University (ANU), leveraging mathematics and physics to investigate emergent phenomena in complex systems through topological frameworks. Her academic credentials include: PhD in Physics from ANU (2024) on geometry-driven hyperuniformity Master's in Mathematics from EPFL, Switzerland (2017) analyzing brain networks Bachelor's in Mathematics from KAIST, South Korea (2015) Her research pioneers topological data analysis to decode self-organization in adaptive systems, revealing universal patterns in energy/information flows across materials science, group dynamics, and music composition. She examines how collective phenomena like resilience emerge from simple component interactions, with topology serving as a signature for dynamical properties. Analysis of her 2019-2024 publications shows consistent innovation in hyperuniform materials and topological defects, recently expanding into generative AI's sociotechnical dimensions. Key threads include geometric frustration, persistent homology applications, and non-equilibrium dynamics in 2D systems. No formal scientific awards are documented, though she actively contributes to the IEEE Systems, Man and Cybernetics Society as a Young Professional Member. Registered to supervise ANU research students, she guides emerging scholars in complex systems without specified advisees or grants mentioned. Her supervisory approach integrates mathematical rigor with interdisciplinary problem-solving. Within ANU's School of Cybernetics, she collaborates across physics, materials science, and AI ethics initiatives, advancing human-technology assemblage research through topological lenses in a dynamic academic ecosystem.

James Vickersمشاهده پروفایل

مدرس

• Quantum Computing
• Artificial Intelligence
• Cloud Gaming
• +۳ مورد دیگر

James Vickers is a Lecturer at Staffordshire University's Digital, Tech, Innovation & Business School. He leads the Game Engine Creation module and teaches programming and development across undergraduate and postgraduate programs. His research focuses on quantum computing, particularly quantum gaming, and he holds a first-class BSc (Hons) in Computing Science from Staffordshire University, with an ongoing MaNS in Quantum Computing and Game Development. Jay's expertise spans C++, Unreal Engine, GitHub (as a Campus Advisor), and mathematics. Professional roles include Lead Developer at Hashbane Interactive, working on the new IP Instinction. His teaching portfolio includes modules like Advanced Graphics and Real-Time Rendering, and he emphasizes next-gen technologies in education. Staffordshire University has been recognized in The Times and Sunday Times Good University Guide 2023 for research impact and in the Research Excellence Framework 2021 for 'World Leading' and 'Internationally Excellent' research.

• Virology
• Immunology
• Molecular Biology
• +۳ مورد دیگر

Man Hing Li is an Associate Professor in the Department of Microbiology, Immunology & Molecular Genetics at UCLA. He leads the Li Lab, focusing on host innate immune responses against viral infections, particularly the mechanisms of interferon-stimulated genes (ISGs) and antiviral proteins like ZAP. His research uses alphaviruses as model systems to study viral-host interactions. Education: B.S. Biological Sciences, University of California, Irvine (2006) Ph.D. Microbiology, University of Washington, Seattle (2011) Virology Postdoctoral Fellowship, The Rockefeller University (2017) Research Focus: Dr. Li's lab investigates how ISGs like ZAP and TRIM25 synergize to inhibit viral replication. They study viral evasion strategies and the role of antiviral immunity in stem cells and barrier tissues, such as the blood-brain barrier. Recent work includes analyzing ZAP's stress granule localization and its role in viral resistance. Funding & Grants: Principal Investigator: NIH R01AI158704 (2021–2026), studying ZAP inhibition mechanisms. Co-Investigator: American Heart Association grant (2022–2025), exploring viral fragments in cardiovascular sequelae of COVID-19. Lab & Collaborations: The Li Lab collaborates with institutions like UCSF and UCSD, focusing on antiviral immunity, viral pathogenesis, and translational research in emerging viruses like Zika and alphaviruses.

Ana Bellمشاهده پروفایل

مدرس ارشد

• Computer Science Education
• Python Programming
• Computational Biology
• +۳ مورد دیگر

Ana Bell is a Senior Lecturer in the Department of Electrical Engineering and Computer Science (EECS) at MIT. She specializes in computer science education, particularly in introductory programming courses using Python. Her teaching portfolio includes courses like 6.100A/6.0001, 6.100B/6.0002, and 6.UWTD, which are available on MIT OpenCourseWare and edX. Bell holds a B.A.Sc. from the University of British Columbia (2007), an M.A. (2009), and a Ph.D. (2013) from Princeton University, where her research focused on computational biology in the Troyanskaya Lab. Her research interests bridge educational technology and computational biology, with publications on MOOC student performance and gene interaction networks. She authored Get Programming: Learn to Code with Python (Manning Publications) and a companion video series, Get Programming with Python in Motion . She also created Doodle Debug , a coloring book for programmers. Bell has been featured on podcasts such as Python Podcast.__init__ and Women in Tech with Ariana , discussing programming education and her academic journey. Her work emphasizes making programming accessible to beginners and leveraging technology for educational outreach.

Jauwairia Nasirمشاهده پروفایل

پژوهشگر ارشد

• Socially Assistive Robotics
• Human-Robot Interaction
• Multimodal Behavioral Analytics
• +۴ مورد دیگر

Dr. Jauwairia Nasir is a Research Fellow at the Chair of Human-Centered Artificial Intelligence, University of Augsburg, Germany. She holds a PhD in Human-Robot Interaction (HRI) from EPFL, Switzerland, and was a Marie Curie fellow in the ANIMATAS ITN program. Her research focuses on socially assistive robotics, multimodal behavioral analytics, and AI applications in education and healthcare. She teaches a Master's course on Human-Robot Interaction and has led workshops at international conferences such as RO-MAN and HRI. Education: PhD in HRI, Computer Science, EPFL (Switzerland), 2020 MSCA ITN Marie Curie Fellow, Sorbonne University (France), 2019 MSc Robotics & AI, KAIST (South Korea), 2015 BEng Electrical Engineering, NUST (Pakistan), 2012 Research Interests: Designing robots that adapt to diverse learning styles Modeling engagement through multimodal signals (speech, gesture, facial expressions) Ethical considerations in human-AI interaction AI-driven tools for personalized education and therapy Awards & Recognition: Rising Woman Star in Social Robotics (2025) RSJ Research Pioneering Award (2023) Best Paper Finalist at RO-MAN 2023 Special Recognition for Outstanding Reviews (HRI 2024) Lab Affiliations: Human-Centered AI Lab (University of Augsburg), CHILI Lab (EPFL), ANIMATAS Network.

Devendra Agrawalمشاهده پروفایل

استاد

• Translational Medicine
• Cardiovascular Sciences
• Immunobiology
• +۹ مورد دیگر

Dr. Devendra Agrawal is a Professor and Director of the Department of Translational Research at the College of Osteopathic Medicine of the Pacific, Western University of Health Sciences. He holds advanced degrees including PhD (Biochemistry) from Lucknow University and PhD (Medical Sciences) from McMaster University, along with an MBA and MS in ITM. A globally recognized scholar, he has held leadership roles including Founding Chairman of the Department of Translational Research at Creighton University and Senior Vice President for Research. His research focuses on translational medicine, cardiovascular science, musculoskeletal disorders, diabetes, and inflammatory diseases, supported by NIH grants. He has published over 410 peer-reviewed articles and trained 136 postdoctoral and graduate students. Education: M.Sc. (Chemistry), Lucknow University, India (1973) Ph.D. (Biochemistry), Lucknow University, India (1978) Ph.D. (Medical Sciences), McMaster University, Canada (1984) Postdoctoral Fellowship, University of British Columbia, Canada MBA & MS (ITM), Creighton University, USA (2004-2005) Research Interests: Dr. Agrawal’s work bridges laboratory discoveries to clinical applications. Key areas include ECM remodeling in rotator cuff injuries, mechanisms of plaque vulnerability in atherosclerosis, metabolic syndrome impacts, and regenerative therapies using stem cells and electromagnetic fields. He pioneered swine models for translational cardiovascular research and investigates environmental factors in disease pathogenesis. Awards: Robert F. Kennedy Memorial Award for Teaching (2017) Bohuslav Ostadal Award (2015-2016) Creighton University Distinguished Professor Award Man of the Year (2000), Award of Excellence (2013) Advising/Grants: Trained 64 postdocs and 72 students. Serves on NIH, VA, and international grant review panels. Editor for Journal of Immunology and American Journal of Respiratory Cell and Molecular Biology . Labs/Teams: Leads multidisciplinary translational research initiatives integrating osteopathic medicine, dentistry, pharmacy, and veterinary science at WesternU. Active in collaborative projects with clinical scientists on gene therapy, bariatric surgery outcomes, and esophageal disease mechanisms.

• Vehicle Cybersecurity
• Software Exploitation
• Cryptography
• +۳ مورد دیگر

Roberto Gesteira Miñarro is a Research Assistant at the Institute for Research in Technology (IIT) at Comillas Pontifical University, where he focuses on Intelligent Systems. He holds academic roles as Assistant Professor in Cybersecurity and Data Protection at the Telematics and Computing Department (ICAI), and previously taught Differential Equations at the Applied Mathematics Department. His research emphasizes vehicle cybersecurity, software exploitation, and cryptography, with notable contributions to breaking RKE protocols and analyzing wireless vehicle attacks. He earned a BSc/MSc in Telecommunications Engineering and a MSc in Cybersecurity from ICAI, alongside Mathematics studies at UNED. He has received awards including the Extraordinary Award from ICAI (2020) and the Best Final Degree Project Award (2021). His work includes developing security tools for OBD-II devices and presenting at conferences like Black Hat Europe 2024. Active in CTF competitions, he leads the ICAI Cyber Team and participates in international teams like thehackerscrew. Education: BSc Telecommunications Engineering, Comillas (2020) MSc Telecommunications Engineering, Comillas (2022) MSc Cybersecurity, Comillas (2022) BSc Mathematics, UNED (ongoing) Research Interests: Vehicle cybersecurity, embedded system exploitation, cryptographic protocols, and IoT security. He explores vulnerabilities in automotive systems, RF protocols, and smart grids through interdisciplinary approaches combining hardware reverse engineering, software analysis, and threat modeling. Publications: Recent work focuses on vehicular cybersecurity (e.g., RKE protocol analysis), IoT infrastructure risks, and industrial OT security. His 2025 papers on clonable key fobs and wireless vehicle attacks highlight his expertise in automotive security. Awards: Extraordinary Award, Comillas (2020) Best Final Degree Project, COITT/AEGITT (2021) International Mathematics Competition Medals (Silver, 2 Bronze, 2 Honorable Mentions) Advising & Grants: While no formal advisees are listed, his teaching roles include courses on cybersecurity and mathematics. His collaborations involve IIT, industry partners, and international exchanges at Katholieke Universiteit Leuven (2025). Labs & Teams: Member of IIT's vehicle cybersecurity lab, leading ICAI Cyber Team and contributing to thehackerscrew CTF team. His work bridges academic research with real-world applications in automotive and IoT sectors.

Terry Lyonsمشاهده پروفایل

استاد

• Stochastic Analysis
• Machine Learning
• Financial Mathematics
• +۴ مورد دیگر

Prof. Terry Lyons is the Wallis Professor of Mathematics at the University of Oxford's Mathematical Institute. Previously, he held professorships at Imperial College London and the University of Edinburgh. He has directed major institutions like the Oxford Man Institute of Quantitative Finance and the Wales Institute of Mathematical and Computational Sciences. His research focuses on stochastic analysis, rough paths theory, and their applications in finance, data science, and environmental systems. He actively bridges pure mathematics with applied domains, emphasizing rigorous proofs and algorithmic innovation. Education & Positions: Colin Maclaurin Chair at Edinburgh (1985–93), Professor at Imperial College (1993–2000), Wallis Professor at Oxford since 2000. Awards: Fellowships from the Royal Society (FRS), Royal Society of Edinburgh (FRSE), and Learned Society of Wales (FLSW). His research explores stochastic processes and their mathematical foundations, with recent work applying rough paths to machine learning, environmental monitoring (e.g., NO₂ sensing via CCTV), and complex data analysis. Key contributions include signature methods for data representation and algorithms for high-dimensional systems. His work often intersects geometric measure theory and numerical methods, addressing challenges in randomness and approximation. Publications span theoretical advances (e.g., Lipschitz theorems, path signatures) and applied solutions (e.g., medical signal reconstruction, environmental modeling). His lab’s tools like RoughPy and Sig-networks exemplify software implementations of his mathematical innovations.