جستجوی استاد راهنمای دانشگاهی

Chuchu Fanمشاهده پروفایل

دانشیار

• Formal Methods
• Control Theory
• Machine Learning
• +۳ مورد دیگر

Chuchu Fan is the Leonardo Career Development Professor and Director of the REALM Lab (REliable Autonomous system Lab) at MIT's School of Engineering , with a primary appointment in the Department of Aeronautics and Astronautics and Laboratory for Information and Decision Systems . Her work bridges formal methods , control theory , and machine learning to ensure safety in autonomous systems. Ph.D., University of Illinois at Urbana-Champaign (2019) B.E., Tsinghua University (2013) Her research focuses on rigorous safety verification of autonomous systems through neural Lyapunov-barrier functions , control contraction metrics , and formal logic specifications . Recent work emphasizes LLM integration for symbolic planning, multi-robot collaboration , and robustness against model uncertainties . The 15 most recent articles highlight trends in safety-critical control using graph neural networks , reinforcement learning , and temporal logic . Key themes include collision avoidance , multi-agent coordination , and runtime safety filters applied to drones, self-driving cars, and microgrids. Scientific Awards & Honors : 2025 ONR YIP Award 2023 NSF CAREER & AFOSR YIP Awards 2020 ACM Doctoral Dissertation Award 2016 Rising Stars in EECS As head of the REALM Lab, she leads projects on autonomous air taxis , safety verification , and neural certificates for robotic systems. Her teaching includes courses on feedback control and formal methods for autonomous systems.

• Heat Transfer
• Energy Storage
• Thermal Management
• +۵ مورد دیگر

Ankur Jain is a Professor in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington, with a joint appointment in Bioengineering. His research focuses on heat transfer in Li-ion batteries, microscale thermal transport, bioheat transfer, and additive manufacturing. He holds leadership roles, including serving as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technologies and Secretary of the ASME Heat Transfer Division's K16 Committee. Education: Ph.D. (2007) and M.S. (2003) in Mechanical Engineering from Stanford University; B.Tech. (2001) in Mechanical Engineering from IIT Delhi with top honors. Research interests span energy conversion/storage, thermal management of electronics, and biomedical heat transfer applications. Notable achievements include the NSF CAREER Award (2016), ASME Fellow status (2022), and UTA President's Award for Excellence in Teaching (2022). His work has been supported by NSF, DOE, ONR, and Indo-US Science & Technology Forum. Advancing thermal runaway prevention in Li-ion batteries and improving additive manufacturing processes are key current focuses. Collaborations include industry partners like Underwriters Laboratories and Cuberg, Inc.

Xinya Duمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multimodal Models (VLMs)
• +۷ مورد دیگر

Xinya Du is an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. in Computer Science from Cornell University and completed a postdoctoral fellowship at the University of Illinois at Urbana-Champaign. Her research focuses on advancing trustworthy and impactful AI systems, particularly in Natural Language Processing (NLP), Large Language Models (LLMs), and Vision-Language Models (VLMs). Key research areas include Document understanding and knowledge acquisition Trustworthy reasoning and hallucination detection in LLMs Applications of NLP in scientific research and multimodal systems Alignment of AI systems with human values Dr. Du has received notable awards such as the NSF CAREER Award (2024), Amazon Research Award (2023), and recognition as a Spotlight Rising Star in Data Science. She has authored over 30 papers in top venues like ACL, EMNLP, NeurIPS, and CVPR, contributing to foundational work in multimodal reasoning, LLM evaluation, and automated scientific hypothesis generation. She teaches advanced courses including CS 6301: Special Topics in Computer Science - Deep Learning for NLP and actively mentors students in research projects. Her work has been highlighted in major media and led to impactful open-source contributions, including repositories for event extraction and LLM benchmarking.

Adrian Chanمشاهده پروفایل

استاد

• Non-invasive sensor systems
• Biomedical signal processing
• Biomedical image processing
• +۳ مورد دیگر

Adrian Chan is a Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. He holds the title of Director of the Research and Education in Accessibility, Design, and Innovation (READi) program. His expertise spans biomedical engineering, signal processing, and accessibility technologies. Education: Ph.D. in Electrical Engineering (University of New Brunswick), M.A.Sc. in Electrical Engineering (University of Toronto), B.A.Sc. in Computer Engineering (University of Waterloo). Research focuses on non-invasive sensors, biomedical signal/image processing, machine learning, and accessibility solutions. Notable projects include the Abilities Living Laboratory and collaborations with healthcare institutions like The Ottawa Hospital. His work addresses challenges in neonatal transport safety, placental imaging for maternal health, and wearable medical devices. Publications highlight advancements in AI-driven ECG analysis, histopathology segmentation, and clinical monitoring systems. Over 150 students have been mentored, with many securing prestigious awards. Awards include the 2024 CMBES Fellowship, 2023 Carleton Research Achievement Award, and 2012 3M Teaching Fellowship. Grants include NSERC CREATE programs and CFI funding for the Abilities Living Laboratory. Leadership roles include interim Assistant Vice-President (Academic), Associate Dean (Graduate Programs), and Shad Valley Program Director. Active in community initiatives like the READi training program and accessibility advocacy.

• Fluid Power (Hydraulics)
• Acoustic Sensing
• Dynamic Modelling
• +۴ مورد دیگر

Travis Wiens is an Associate Professor in the Department of Mechanical Engineering at the University of Saskatchewan. His research focuses on fluid power systems, acoustic sensing, dynamic modeling, mining mechatronics, and artificial intelligence applications in engineering. He holds a B.Sc., M.Sc., and Ph.D. in Mechanical Engineering from the same institution, completed in 2002, 2004, and 2008 respectively. His research interests emphasize innovative solutions for hydraulic control systems, pipeline resonance reduction, and mining safety through acoustic technologies. He has developed low-cost electrohydrostatic actuators and explored additive manufacturing in valve design. Notable contributions include vibrational data communication tools for extractive industries and machine learning models for mine roof stability assessment. Dr. Wiens teaches ENGC 01A - Introduction to Fluid Power Components . His work bridges theoretical fluid dynamics with practical applications in energy efficiency, structural health monitoring, and biomimetic systems. Ongoing research trends include integrating AI with hydraulic systems and advancing non-destructive testing methods for infrastructure integrity. His publications highlight interdisciplinary approaches, combining mechanical engineering principles with computational modeling, neural networks, and mechatronics. Collaborative efforts focus on mining safety, oil and gas infrastructure, and sustainable hydraulic technologies.

Jason Trelewiczمشاهده پروفایل

استاد

• Materials Science
• Nuclear Engineering
• Advanced Materials for Extreme Environments
• +۴ مورد دیگر

Jason Trelewicz is a Professor at Stony Brook University’s Department of Chemical & Molecular Engineering and holds joint faculty status at Oak Ridge National Laboratory. His research focuses on interface-engineered materials for extreme environments, leveraging advanced processing, characterization tools, and multiscale modeling. He received his Ph.D. in Materials Science from MIT (2008) and previously served as Research Director at MesoScribe Technologies. His work emphasizes fusion materials, nanocrystalline alloys, additive manufacturing, and radiation effects. Awards include the DOE Early Career Award (2017), NSF CAREER Award (2016), and multiple best paper awards (2022). His lab, the Engineered Microstructures and Radiation Effects Laboratory, explores topics like ceramic composite moderators and plasma-facing materials. Education: Ph.D., Materials Science & Engineering, MIT (2008) Affiliations: Oak Ridge National Laboratory (Joint Faculty) Key research areas include thermal-mechanical evaluation of fusion reactor components, alloy design for additive manufacturing, and radiation tolerance of nanocrystalline materials. He has pioneered studies on helium bubble dynamics in tungsten and stability of doped nanocrystalline alloys. Awards: DOE Early Career Award, NSF CAREER Award, 2022 Best Paper Awards in Nuclear Materials and Asian Ceramics. Grants/Projects: Supported by DOE, NSF, and collaborative initiatives with Japan (FRONTIER). His group investigates corrosion behavior in 3D-printed steels and develops novel composite moderators for high-temperature reactors. Ongoing work includes multiscale modeling for fusion materials and in-situ TEM studies of irradiation effects.

• Medical Imaging
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Dr. Neal Bangerter is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He specializes in medical imaging (MRI), artificial intelligence, machine learning, and signal processing. Dr. Bangerter holds adjunct appointments at INSEAD, the University of Utah, and Brigham Young University. His research focuses on ultra-high field MRI, AI applications in healthcare, and data-driven bioscience technologies. He leads the London Collaborative Ultra-High Field Scanner (LOCUS) project and advises companies on AI and innovation strategies. Education: B.S. in Physics (UC Berkeley), M.S. and Ph.D. in Electrical Engineering (Stanford University). Career highlights include roles at McKinsey & Company, Microsoft, and Reactrix, as well as founding BYU's Medical Imaging Research Center. He has pioneered cross-faculty initiatives like the Crocker Innovation Fellowship Program. Research interests include novel MRI pulse sequences, AI in medical imaging, and large-scale health data analysis. His work spans collaborations with Stanford, Oxford, Cambridge, and Siemens Healthcare. He teaches executive education at INSEAD, focusing on bridging technical concepts with business strategies. Key awards include the David Evans Chair at Brigham Young University. His contributions to the UK Biobank Neuroimaging study and development of MRI techniques like RAFO-4 highlight his impact on advancing imaging technologies and AI applications in healthcare.

Emilia Vann Yarosonمشاهده پروفایل

مدرس

• Supply Chain Management
• Sustainability
• Artificial Intelligence in Supply Chains
• +۶ مورد دیگر

Emilia Vann Yaroson is a Lecturer in Operations and Supply Chain Management at the Sheffield University Management School (The University of Sheffield). She holds a PhD in Operations and Information Management from the University of Bradford, an MSc in Business and Financial Economics from the University of Greenwich, and a PgCHE (Postgraduate Certificate in Higher Education). Her research focuses on leveraging emerging technologies (AI, blockchain, cloud computing, digital twins) to enhance supply chain resilience and sustainability, particularly aligned with UN SDGs related to healthcare access, environmental protection, and poverty reduction. Research Interests Pharmaceutical supply chains and resilience strategies Circular economy integration in supply chains Impact of Industry 4.0/5.0 technologies on sustainable operations Healthcare operations and quality improvement Artificial intelligence-driven decision-making in supply chains Teaching She teaches operations management, supply chain analytics, and related modules across undergraduate and postgraduate programs, including executive education. Her teaching aligns with the school’s Triple Crown accreditation, positioning it among global elite management schools. Research Group She is part of the Operations Management and Decision Sciences group, contributing to interdisciplinary projects on supply chain innovation and sustainability. Her work bridges theoretical frameworks (e.g., Complex Adaptive Systems) with practical applications in healthcare and manufacturing sectors.

Mikolaj Firlejمشاهده پروفایل

مدرس

• AI Security and Safety
• Ethics and Regulation of AI
• Innovation in Defense and Intelligence Sectors
• +۳ مورد دیگر

Mikolaj Firlej is a Lecturer in AI Law and Regulation at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI). He holds a D.Phil. and M.Phil. from the University of Oxford's Faculty of Law, an MPP from the Oxford School of Government, and degrees from the University of Warsaw. His research focuses on AI ethics, human control over autonomous systems, and defense sector innovation. He co-founded the Expeditions Fund, a dual-use venture capital firm, and serves as Director of the Law and Tech Hub. Research interests include AI security, global policy challenges for emerging technologies, and the intersection of AI with defense and intelligence sectors. His work emphasizes practical legal frameworks for regulating autonomous systems while fostering innovation. Firlej teaches AI and Law, Intellectual Property Law, and Law, AI & Technology courses. He supervises PhD students in AI security at Surrey's PAI. His publications span AI governance in defense, ethical frameworks for autonomous weapons, and regulatory approaches to complex adaptive systems. He actively engages with policy through expert testimony on UK AI defense capacity and international AI weaponization debates. Outside academia, he co-leads a family investment firm and explores geopolitics, literature, and sport.

Magnus Bångمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Computer Interaction
• Automation
• +۳ مورد دیگر

Magnus Bång is a Senior Associate Professor at the Department of Computer and Information Science (IDA) at Linköping University, affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division. His research focuses on advancing human-AI collaboration, automation systems, and AI applications in domains like cyberphysical production, air traffic management, and process industries. He has contributed to interdisciplinary projects involving real-time human-automation interfaces, explainable AI dashboards for industrial processes, and safety-critical systems integration. His work bridges theoretical AI advancements with practical implementations in sectors such as aviation and maritime logistics. Notable collaborations include research with the Swedish Maritime Administration to enhance shipping efficiency through AI and interactive visualization. He actively participates in EU-funded initiatives like the Horizon 2020 projects targeting autonomous systems and air traffic control. Research interests span MLOps for industrial systems, glyph-based communication design for human-automation teams, and operator modeling across traffic management domains. His publications emphasize cross-disciplinary solutions to challenges in automation and human-centric AI design.

Hatem Abou-Zeidمشاهده پروفایل

استادیار

• AI for 6G
• Wireless Sensing
• Extended Reality Networking
• +۵ مورد دیگر

Dr. Hatem Abou-Zeid is an Assistant Professor in the Department of Electrical and Software Engineering at the University of Calgary, directing the WAVES Research Group. He holds adjunct positions at Queen’s University, Carleton University, and Ontario Tech University. His research focuses on AI-driven 6G networks, wireless sensing, extended reality (XR), and brain-computer interfaces (BCI). Prior to academia, he spent 7 years in industry at Ericsson and Cisco, leading projects in 5G radio access and network intelligence, resulting in 20+ patents and $3.5M+ collaborative research projects. Education: PhD in Electrical and Computer Engineering (Queen’s University), M.Sc. and B.Sc. in Electronics and Communications Engineering (Arab Academy, Egypt). Research interests span trustworthy AI for 6G, joint sensing & communication systems, and AI for immersive networking. Notable work includes foundational models for 6G radios, self-supervised learning for spectrograms, and safe reinforcement learning for network slicing. His lab explores pediatric BCI, IoT edge computing, and low-power wireless prototyping. Publications highlight contributions to AI-driven resource allocation, 5G/6G slicing, and federated learning in tactical networks. Awards include the 2023 Early Research Excellence Award and 2023 Software Engineering Professor of the Year. Advising involves 15+ students and postdocs, with collaborations spanning academia (e.g., Hotchkiss Brain Institute) and industry (Ericsson, Telus). Current openings exist for PDF/PhD researchers in AI/6G wireless systems and pediatric BCI. Labs/Teams: Director of WAVES Lab; collaborates with Ericsson Canada, Alberta Innovates, and Canadian Space Agency on applied research projects. Teaching includes advanced networking, machine learning systems, and IoT courses.

• Public Policy Implementation
• STEM Education Policy
• Transportation Policy
• +۵ مورد دیگر

Gordon Kingsley is a Professor and Director of Graduate Studies in the School of Public Policy at Georgia Institute of Technology (Georgia Tech). He specializes in public management, policy implementation, STEM education policy, and transportation policy. His research focuses on inter-sector partnerships and their impact on organizational structure and human capital development, with a focus on STEM education and transportation privatization. He has consulted for numerous U.S. government agencies and authored over 100 peer-reviewed articles and reports. Education includes a Ph.D. in Public Administration from Syracuse University, an M.S. in International Affairs from Columbia University, and a B.A. in International Affairs and Economics from American University. Research interests span policy processes, public management innovation, and the evaluation of partnerships in STEM education and infrastructure. Notable works include studies on renewable energy policy in Europe, adaptive management in environmental regulation, and contracting practices in transportation agencies. Teaching responsibilities include courses such as PUBP-3230 (STEM Education Policy), PUBP-6012 (Fundamentals of Policy Processes), and PUBP-8520 (Scope & Theory of Public Policy). He has advised multiple state and federal agencies on policy implementation and contracting strategies. Key projects include evaluations of the Georgia Department of Transportation’s consultant management systems and the development of frameworks for public-private partnerships. His work emphasizes practical solutions for improving governance efficiency and stakeholder collaboration.

Jinhan Kimمشاهده پروفایل

پژوهشگر

• Software Engineering
• Mutation Testing
• Fault Localization
• +۴ مورد دیگر

Jinhan Kim is a Postdoctoral Researcher at the Università della Svizzera italiana (USI) in the Faculty of Informatics, working in the TAU lab under Prof. Paolo Tonella. He earned his Ph.D. from KAIST under Prof. Shin Yoo, focusing on software engineering research in mutation testing, fault localization, and deep learning system testing. His work bridges traditional software engineering techniques with AI-driven methodologies, emphasizing AI4SE and SE4AI paradigms. Education: Ph.D. in Software Engineering, KAIST, 2023 Research Interests: Mutation Testing Deep Learning System Testing Autonomous Systems Testing Adversarial Attack Detection Empirical Software Engineering Service and Leadership: Organized SBFT 2026 and DeepTest 2026 (co-located with ICSE 2026) Program Committee Member for ASE, ISSTA, Mutation, and DeMeSSAI Board of Distinguished Reviewers for TOSEM (2024–2025) Labs and Teams: Active contributor to the TAU Lab at USI, focusing on advanced software testing and AI integration.

Anne-Marie Nicolمشاهده پروفایل

دانشیار

• Health communication
• Toxicology
• Social marketing
• +۲ مورد دیگر

Dr. Anne-Marie Nicol is an Associate Professor of Professional Practice in Health Sciences at Simon Fraser University. Her multidisciplinary research spans health communication, toxicology, social marketing, risk perception, and risk assessment, with emphasis on environmental and occupational health exposures. She leads CAREX Canada, a national carcinogen surveillance program, and has developed public health campaigns including Wash with Care and Tick Talk. Her work focuses on translating scientific information about carcinogens to policymakers and cancer prevention stakeholders. She teaches Human Health Risk Assessment, Toxicology for Public Health, and Health Communication. Her research has been funded by CIHR, Michael Smith Foundation, and Canadian Cancer Society. Current projects include studies on radon exposure, infodemic communication strategies, and community resilience to wildfire smoke. She holds a BA from SFU, MES from York University, and PhD from UBC.

Janie McClurkin Mooreمشاهده پروفایل

استادیار

• Post-harvest treatment technologies
• Bioprocess engineering
• Biomass valorization
• +۸ مورد دیگر

Dr. Janie McClurkin Moore is an Assistant Professor in the Department of Biological and Agricultural Engineering at Texas A&M University, part of the College of Agriculture & Life Sciences. Her research focuses on post-harvest technologies, food safety, and innovative engineering education strategies. She holds a PhD in Agricultural and Biological Engineering from Purdue University and has extensive expertise in applying cold plasma technology to agricultural challenges. Education: B.S., Bio-Environmental Engineering, North Carolina A&T State University (2006) M.S.A.B.E., Agricultural and Biological Engineering, Purdue University (2009) Ph.D., Agricultural and Biological Engineering, Purdue University (2015) Research interests span post-harvest treatment innovations, biomass valorization, and educational methodologies. Her work emphasizes non-thermal plasma applications for food safety, mycotoxin mitigation, and sustainable agriculture practices. Publications reveal a strong focus on plasma technology for pest control, food preservation, and hydroponic systems. Her engineering education research explores inclusive pedagogy and curriculum development in diverse educational settings. Advising and grants include contributions to the NSF Convergence Accelerator project addressing food security in extreme environments. She is affiliated with Texas A&M AgriLife Research, advancing applied agricultural solutions through interdisciplinary collaboration.