Find Academic Supervisors

Jack Barth is a Professor in the College of Earth, Ocean, and Atmospheric Sciences (CEOAS) at Oregon State University (OSU) and Executive Director of the Marine Studies Initiative (MSI). He holds a Ph.D. in Oceanography from MIT and Woods Hole Oceanographic Institution (1987). His research focuses on coastal ocean dynamics, hypoxia, and marine ecosystem interactions. Barth has led projects on ocean observing systems, including glider technology and the Ocean Observatories Initiative (OOI). He serves on the Oregon Ocean Policy Advisory Council’s Scientific Committee and co-chairs the Ocean Acidification and Hypoxia Council. Education: B.A., University of Colorado (1982); Ph.D., MIT/WHOI Joint Program (1987). Experience includes roles as Postdoctoral Research Associate (1987–1989), Assistant Professor (1989–2001), and Professor (2001–present). He also served as Associate Dean for Research in CEOAS (2016–present) and Executive Director of MSI (2016–present). Research Interests: Coastal ocean circulation, hypoxia, inner continental shelf dynamics, eastern boundary currents, and ocean observing systems. He has published over 100 papers and mentored 20+ students/postdocs. Awards include Fellowships from The Oceanography Society (2013) and the American Meteorological Society (2017). Awards: Carl-Gustav Rossby Award (1988), Pattullo Teaching Award (2010), and multiple keynote lectures. His work addresses climate impacts, marine conservation, and interdisciplinary collaboration for sustainable ocean management.

• Oceanography
• Coastal Dynamics
• Marine Ecosystems
• +6 more

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

• Computer Vision
• Machine Learning
• Robotics
• +3 more

Osama Bilal is an Assistant Professor at the University of Connecticut (UConn), leading the We-Xite Lab focused on Wave Engineering through Extreme & Intelligent Materials. His research explores metamaterials for programmable wave control, combining mechanics, materials science, and advanced manufacturing. He holds a multidisciplinary background in aerospace engineering, computer science, and condensed matter physics from institutions including Caltech, ETH Zurich, and Cairo University. Prof. Bilal’s work bridges theory, simulations, and experiments to design multifunctional structures with unprecedented properties. Key areas include acoustic metamaterials, soft robotics, and topology optimization. His lab has developed 3D-printed ferroelectric programmable metamaterials and bistable systems for selective wave filtering. Notable recognitions include the ARL Postdoctoral Fellowship, ETH Zurich Postdoctoral Fellowship, and inclusion in the World’s Top 2% Scientists list. Research Groups: Active Faculty Member, Applied Mechanics & Advanced Materials Processing Lab Activities: Supervises students like Roshdy M., Samak M.M., and Evan, who have won multiple top awards in competitions. Recent publications highlight breakthroughs in flat band phononic metamaterials, auxetic metamaterial dynamics, and self-assembly of magnetic lattices. His team has presented at ASME IMECE and won best presentation awards at conferences like Phononics in Manchester. Ongoing projects aim to advance programmable materials for energy localization, flow control, and biomedical applications.

• Metamaterials Design
• Mechanical Engineering
• Materials Science
• +5 more

Affiliations and Roles Professor Wang holds dual appointments as Professor of Physics and Mechanical and Aerospace Engineering at Cornell University. She is affiliated with the Sibley School of Mechanical and Aerospace Engineering and the College of Arts and Sciences. Education B.S. in Physics, Fudan University, Shanghai, China (1989) Ph.D. in Physics, University of Chicago (1996) NSF-NATO Postdoctoral Fellow, Theoretical Physics, Oxford University (1997) Visiting Member, Courant Institute of Mathematical Sciences, NYU (1997-1999) Research Her research focuses on the physics of living organisms, particularly insect flight dynamics , biophysics , and computational modeling . Key projects include: Dragonfly righting reflex mechanisms Neuro-mechanical control in fruit flies Unsteady aerodynamics and fluid-structure interactions Awards and Honors Simons Fellowship in Theoretical Physics (2020) Radcliffe Fellowship (2007) Cornell Provost's Award for Distinguished Scholarship (2005) David and Lucile Packard Fellowship (2002) Labs and Collaborations Her work integrates experimental and computational approaches, often conducted in collaboration with institutions like the Janelia Research Campus (HHMI) and the Joint Texas Experimental Tokamak (J-TEXT).

• Biological Physics
• Theoretical Condensed-Matter Physics
• Computational Fluid Dynamics
• +4 more

Dale Lawrence is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, where he has served continuously since 1991. He directs research at the Research and Engineering Center for Unmanned Vehicles (RECUV), focusing on astrodynamics, satellite navigation systems, and autonomous aerial platforms for atmospheric science. His academic credentials include: PhD in Electrical Engineering from Cornell University (1985) MS in Electrical Engineering from Cornell University (1982) BS in Electrical Engineering from Colorado State University (1980) Professor Lawrence's research spans spacecraft attitude control , vibration isolation , and adaptive control systems , with pioneering work in haptic interfaces for scientific visualization and teleoperation. His recent work emphasizes unmanned aerial systems for Arctic atmospheric research, particularly turbulence measurement and boundary layer studies using custom UAV platforms like DataHawk. This work bridges aerospace engineering with climate science through field campaigns such as MOSAiC and LAPSE-RATE. His publication record reveals a clear trajectory toward Arctic atmospheric science and UAV-based sensing , with increasing focus on turbulence dynamics, sea-ice interactions, and autonomous system validation. The work consistently integrates hardware development (sensors, UAVs) with field deployment in extreme environments. Selected honors include: Best Commercial Potential Award at IEEE Symposium on Haptic Interfaces (2004) Best Paper Presentation at American Control Conference (1994) Teaching Excellence Awards from University of Cincinnati (1990, 1991) Distinguished Publication Award from Martin Marietta Astronautics (1988) Professor Lawrence has led major field campaigns including MOSAiC and LAPSE-RATE, securing funding from NSF and DOE for projects like ERASMUS and ShUREX. His RECUV team develops specialized UAV platforms (DataHawk, HELiX) for atmospheric research, with recent work focusing on machine self-confidence for autonomous decision-making in complex environments. While student advising details aren't specified, his projects involve extensive student participation in hardware development and field operations. He maintains active leadership in Arctic atmospheric research through the DataHawk UAV program and HELiX multispectral systems, with ongoing work on gossamer propeller technology for high-altitude applications and machine self-confidence frameworks for autonomous systems.

• Astrodynamics
• Satellite Navigation Systems
• Autonomous Systems
• +10 more

Keyvan Hashtrudi-Zaad is a Professor in the Department of Electrical and Computer Engineering at Queen's University, affiliated with the Smith School of Engineering and the Ingenuity Labs Research Institute. His expertise spans robotics and control systems, with a focus on haptics, telerobotics, tele-rehabilitation, autonomous vehicles, and medical robotics. He holds the email addresses keyvan.hashtrudi-zaad@queensu.ca and khz@queensu.ca, and his office is located in Walter Light Hall, Room 427. Research Interests: His research emphasizes human-robot interaction, haptic interfaces, autonomous systems, and mechatronics. Key areas include kinesthetic haptics, collaborative teleoperation systems, energy storage systems for electric vehicles, and medical robotics applications such as needle deflection estimation and rehabilitation robotics. His work bridges theoretical control systems with practical applications in healthcare and autonomous technologies. Publications: His recent work addresses challenges in haptic system stability, energy-efficient inverters for electric vehicles, and teleoperation networks. Notable projects include a cable-driven parallel robot for stroke rehabilitation and a study comparing DC/BLDC actuators for haptic feedback. His research often integrates sensor fusion, nonlinear control, and dynamic modeling to solve real-world problems. Awards and Recognition: While specific awards are not listed, his extensive publication record and leadership in interdisciplinary robotics initiatives highlight his contributions to the field. He is part of the Interactive Robotics and Intelligent Systems (IRIS) Laboratory, advancing innovations in medical robotics and autonomous systems. Grants and Collaborations: His work likely involves collaborations across engineering and medical disciplines, supported by grants focused on robotics, control systems, and healthcare technologies. The IRIS Lab serves as a hub for developing cutting-edge solutions in haptic training systems and assistive robotics.

• Haptics
• Telerobotics
• Tele-rehabilitation
• +5 more

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

• Control Systems
• Machine Learning
• Robotics
• +6 more

Brent Sellers is a Professor and Center Director at the Range Cattle Research and Education Center (RCREC), part of the University of Florida's Institute of Food and Agricultural Sciences (UF/IFAS). His primary affiliation is with the Agronomy Department, focusing on pasture and rangeland weed management. His work integrates herbicide efficacy studies, invasive species control, and sustainable forage systems. Administration: 50% of role involves center leadership and research coordination Research: 25% dedicated to agronomic and weed science innovations Extension: 25% focuses on translating research into practical guidelines for farmers Research Interests: Sellers specializes in herbicide application strategies, weed-crop interactions, and integrated pest management (IPM). Key areas include smutgrass control, cogongrass management, and the use of drones for precision agriculture. His work addresses both economic and ecological challenges in Florida's grazing lands and citrus systems. Publications: Over 100 refereed journal articles and extension bulletins highlight his contributions to understanding herbicide tolerance in crops, invasive plant biology, and sustainable forage practices. Recent work emphasizes drone-based weed mapping and soil pH effects on plant competition. Awards: No specific prizes are listed, but his impactful research has shaped Florida's agricultural policies and practices. Labs/Teams: Leads the RCREC Weed Science Unit, collaborating with UF/IFAS Extension specialists to develop regionally applicable solutions for pasture and citrus weed challenges.

• Agronomy
• Weed Management
• Pasture and Rangeland Ecology
• +3 more

Urs Hengartner is an Associate Professor at the Department of Computer Science, University of Waterloo. His research focuses on information privacy, computer and network security with emphasis on smartphones, IoT, and machine learning-based authentication systems. He holds a Ph.D. (2005) and M.Sc. (2003) from Carnegie Mellon University, and a Diploma from ETH Zürich (1997). His work spans Adaptive security attacks on ML systems Implicit user authentication frameworks Privacy-preserving technologies for location and genomic data Secure authentication systems resilient to voice/spoofing attacks Recent publication trends show a strong focus on adversarial attack detection (e.g., watermarking evasion, diffusion model attacks) and context-aware authentication systems . His frameworks like MRAAC and SHRIMPS address multi-stage authentication challenges in mobile ecosystems. Key contributions include frameworks for evaluating multi-user authentication systems (SHRIMPS), risk-aware access control (MRAAC), and novel defense strategies against collaborative robot traffic fingerprinting. His work bridges security mechanisms with user-centric design principles.

• Information Privacy
• Computer Security
• Network Security
• +3 more

Colin Conrad is an Associate Professor of Digital Innovation at Dalhousie University’s Faculty of Management. He also serves as Co-Director of the College of Digital Transformation and Principal of the Cognition and Organizations Research Group. His research focuses on interdisciplinary projects spanning information systems, computer science, and cognitive neuroscience, with particular emphasis on human factors in educational technology and artificial intelligence. His work is supported by NSERC, CFI, and Mitacs. Research interests include mind wandering measurement via EEG, AI ethics, human-AI interaction, and neurophysiological impacts of digital technologies. He explores topics such as virtual teacher perception, privacy calculus in AI systems, and cognitive state awareness in human-AI collaboration. His recent studies address challenges in remote work ergonomics, digital transformation during crises, and legal/ethical aspects of brain-computer interfaces. His publications analyze behavioral responses to cybersecurity notifications, virtual influencer trust dynamics, and adaptive online learning systems. Current projects investigate the cognitive effects of AI-generated media and the neurophysiological foundations of attention in digital environments. Colin’s research is funded through grants emphasizing interdisciplinary innovation and societal impact. He collaborates with industry partners to translate neuroscientific insights into practical applications in education and workplace design.

• Artificial Intelligence
• Cognitive Neuroscience
• Educational Technology
• +3 more

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020) SM in Mechanical Engineering, MIT (2017) SB in Mechanical Engineering, MIT (2015) Research Interests: Robotics and motion planning Control theory and neural network verification Reinforcement learning applications Certifiable safety guarantees for autonomous systems Navigation in dynamic/human environments Awards: Runner-Up: Best Paper Award (ICML 2022) Winner: Best Student Paper (IROS 2017/2023) Editors’ Top 5 Published Articles (IEEE Access 2021) Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.

• Robotics
• Motion Planning
• Control Theory
• +6 more

Dr. Milan Simic is a Senior Lecturer in the School of Engineering at RMIT University, serving as Program Manager for the Master of Engineering (Management) degree. He holds editorial roles for the Knowledge Engineering Systems and Intelligent Decision Technologies journals and is Associate Director of the Australia–India Research Centre for Automation Software Engineering. With a PhD in Electronic Engineering from the University of Niš and a Graduate Diploma in Education from RMIT, Dr. Simic has extensive industry and academic experience in Australia and internationally. His research focuses on mechatronics, autonomous systems, biomedical engineering, robotics, intelligent transportation systems, and green energy. Notable projects include AI-driven railway system strategies, gait analysis for biomedical applications, and smart traffic control systems. He actively supervises PhD and master’s students in areas like autonomous vehicles and energy recovery systems. Dr. Simic’s work bridges engineering innovation with societal impact, emphasizing sustainable transportation solutions and smart city technologies. His contributions span journal editing, international collaborations, and curriculum development in engineering management.

• Mechatronics
• Autonomous Systems
• Biomedical Engineering
• +7 more

Ceyhun Eksin is an Associate Professor and the Corrie and Jim Furber '64 Faculty Fellow at the Texas A&M University Industrial & Systems Engineering Department. He is also affiliated with the Electrical & Computer Engineering Department. His research focuses on networked multi-agent systems, integrating game theory, distributed optimization, and control theory to address challenges in autonomous systems, energy systems, and epidemiological modeling. Education: Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania (2015), followed by a postdoctoral fellowship at Georgia Institute of Technology (hosted by Professors Jeff S. Shamma and Joshua S. Weitz). Research interests emphasize the design and analysis of complex systems, including distributed algorithms for autonomous teams, epidemic dynamics influenced by behavioral changes, and optimization in smart grids. His work bridges theoretical foundations with practical applications in cyber-physical systems and social networks. Notable awards include the NSF CAREER Award (2023) and TAMIDS Career Initiation Fellowship (2023). His research has been published in top journals like Proceedings of the National Academy of Sciences and IEEE Transactions . Lab activities center on the NetMaS (Networked Multiagent Systems) Lab, focusing on theoretical and algorithmic innovations for multi-agent systems. Collaborations span academia and industry, addressing real-world challenges in energy, healthcare, and robotics.

• Networked Multi-Agent Systems
• Game Theory
• Distributed Optimization
• +5 more

Dr. Juan Jose Acosta is an Associate Professor at North Carolina State University's Department of Forestry and Environmental Resources , where he also serves as Director of Camcore . His work focuses on genetic improvement of forest trees through advanced genomic and quantitative genetic methods. Expertise in Tree Genetics and Genomic Selection Key research in Pine and Acacia Hybridization Pioneer in Robotic Pollination Technologies Recent publications analyze: Genomic prediction in Pinus taeda trials Pedigree reconstruction in Acacia crassicarpa Wood density phenotyping innovations Hybrid dynamics across multiple genera

• Genetics
• Tree Breeding
• Forest Genomics
• +3 more

Alan Fern is a Professor of Computer Science and Robotics in the School of Electrical Engineering and Computer Science at Oregon State University. He leads research in artificial intelligence, focusing on reinforcement learning, planning, and robotics applications like humanoid robotics and agricultural AI. His work includes co-directing the Dynamic Robotics Lab and leading the AgAID National AI Institute for agricultural solutions. Fern holds a Ph.D. from Purdue University and has contributed to over 100 publications. His recognitions include the NSF CAREER Award and multiple best paper awards. Education: B.S., Electrical Engineering, University of Maine (1997) M.S. & Ph.D., Computer Engineering, Purdue University (2000 & 2004) Research Interests: His research spans machine learning, planning, and robotics. Key areas include: AI for humanoid robotics (e.g., bipedal locomotion on Cassie) Reinforcement learning algorithms and applications Agricultural AI for specialty crops Explainable AI and anomaly detection Awards: 2017 College of Engineering Research Collaboration Award 2013 AAAI Outstanding Paper Award 2006 NSF CAREER Award Advising & Labs: Supervised over 50 students. Key collaborations include the Dynamic Robotics Lab (with Jonathan Hurst) and AgAID. His teams address challenges like robot navigation, policy learning, and AI ethics. Labs/Teams: Dynamic Robotics Lab, AgAID National AI Institute, and contributions to computational sustainability initiatives.

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +5 more