جست‌وجوی استاد و پژوهشگر

Daniel G. Aliagaمشاهده پروفایل

دانشیار

• Computer Graphics
• Urban Computing
• Artificial Intelligence
• +۴ مورد دیگر

Daniel G. Aliaga is an Associate Professor in the Department of Computer Science at Purdue University, part of the College of Science. His research focuses on urban computing, combining computer graphics, computer vision, and AI to develop tools for urban modeling and simulation. He leads the Computer Graphics and Visualization Laboratory (CGVLAB), pioneering work in inverse procedural modeling and generative AI for urban environments. Aliaga has a PhD from the University of North Carolina at Chapel Hill and has held visiting professorships at ETH Zurich and KAUST. Education: BS (Brown University), MS & PhD (UNC Chapel Hill) Research Areas: Urban Computing, Computer Graphics, AI, Robotics Notable Projects: WUDAPT initiative, urban weather modeling, 3D reconstruction techniques His work spans interdisciplinary collaborations with urban planners, meteorologists, and engineers. Over 150 peer-reviewed publications and $42M in grants highlight his impact. Awards include the Fulbright Scholar Award and Discovery Park Fellowship. Aliaga advises numerous PhD and undergraduate researchers, contributing to startups and patents.

• Robotics Perception
• Alternative Sensing
• Inertial Fusion
• +۶ مورد دیگر

Teresa Vidal-Calleja is an Associate Professor and Research Director at the Robotics Institute, University of Technology Sydney (UTS). She holds a Deputy Head of School (Research) role in the School of Mechanical and Mechatronic Engineering. Her research focuses on robotics perception, alternative sensing, inertial fusion, SLAM, and applications in manufacturing, agriculture, mining, and construction. Education: B.Sc. Mechanical Engineering (UNAM, 2000), M.Sc. Electrical Engineering (CINVESTAV-IPN, 2002), Ph.D. Automatic Control (Polytechnic University of Catalonia, 2007). Postdoctoral Experience: LAAS-CNRS (France), Australian Centre for Field Robotics (Sydney). Research Interests: Teresa’s work spans robotics perception, sensor fusion, autonomous navigation, and collaborative robotics. She leads projects on next-gen infrastructure robotics (ARC Discovery Grant) and is co-lead of the Australian Cobot Centre. Her innovations target hazardous environments, infrastructure maintenance, and human-robot collaboration. Funded Research: Includes grants for robotic sensors, satellite docking systems, and multi-robot collaboration. Recent projects involve Navantia, the NSW Space Research Network, and industry partnerships. Professional Roles: IEEE Senior Member, Treasurer of the Australian Robotics and Automation Association, and Associate Editor for IEEE Transactions on Robotics and other journals. She chairs conferences like the Australasian Conference on Robotics and Automation. Labs/Teams: UTS Robotics Institute, collaborating with global institutions like ETH Zürich and DLR. Her work integrates robotics with industries such as agriculture and construction, emphasizing sustainability and safety.

Cindy Hsin-Liu Kaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Human-Robot Interaction
• Wearable Technology
• +۴ مورد دیگر

Cindy Hsin-Liu Kao is an Assistant Professor in the Department of Design + Environmental Analysis at Cornell University. Her research focuses on human-centered design of wearable technologies, blending aesthetics and cultural perspectives into on-body interfaces. She leads Cindy's Lab , exploring topics like biodegradable e-textiles, sweat-sensing systems, and modular wearable frameworks. Dr. Kao earned a Ph.D. from the MIT Media Lab, followed by a Master's in Computer Science and dual Bachelor's degrees in Computer Science and Technology Management from National Taiwan University. Prior to academia, she worked at Microsoft Research developing cosmetics-inspired wearables. Her research interests span Hybrid Body Craft , emphasizing culturally inclusive design for wearables. Notable projects include texTENG (self-powered sensors) and MediKnit (medical-grade wearable devices). She has exhibited work globally, including at the Boston Museum of Fine Art and Dutch Design Week. Her work has garnered awards such as the ACM CHI Best Paper Honorable Mention and Fast Company Innovation by Design Finalist . Current projects investigate sustainable materials ( EcoThreads ) and collaborative robotics ( Weaved Inflatable Barriers ). Dr. Kao's lab actively explores intersections between technology and culture, with a focus on democratizing wearable prototyping through toolkits like SkinKit .

Amos Winterمشاهده پروفایل

استاد

• Biomechanics
• Mechanical Design
• Global Development Engineering
• +۷ مورد دیگر

Professor Amos Winter is the Germeshausen Professor in Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He directs the K. Lisa Yang Global Engineering and Research (GEAR) Center, focusing on creating high-performance, low-cost technologies for emerging markets through interdisciplinary engineering science. His work spans water purification, prosthetics, agricultural systems, and transportation solutions. Education: B.S. in Mechanical Engineering from Tufts University (2003), S.M. and Ph.D. from MIT (2005, 2011) Labs: Founder and Director of MIT Mobility Lab (2007-2012), GEAR Center PI Winter’s research combines biologically-inspired design with mechanical and product development, emphasizing constraints-driven innovation. His projects include a solar-powered desalination system for rural India, the Leveraged Freedom Chair for off-road mobility, and smart drip irrigation systems for water-stressed regions. His publications analyze biomechanical interactions, adaptive robotics, and reverse innovation frameworks. Recent projects focus on time-variant desalination systems, low-pressure drip emitters, and energy-efficient agricultural technologies. These align with his expertise in mechanics, fluid dynamics, and cross-cultural technology transfer. Winter has received numerous honors including the 2025 Bose Award for Excellence in Teaching, the 2017 NSF CAREER Award, and the 2015 USAID Desal Prize. He was named to the TR35 list in 2013 and earned multiple design accolades for humanitarian technologies. As a co-founder of Global Research Innovation and Technology (GRIT), Winter bridges academic research with real-world implementation. He teaches Design and Manufacturing (2.007) and Global Engineering (2.76) at MIT, while advising startups and mentoring students through initiatives like the MIT Formula SAE Team.

Johnny Liمشاهده پروفایل

استادیار

• Precision Agriculture
• IoT Sensors
• Autonomous Robotics
• +۵ مورد دیگر

Johnny Li is an Assistant Professor in the Department of Soil and Water Systems at the University of Idaho, affiliated with the College of Agricultural & Life Sciences. He leads the Precision Agriculture and Intelligent Robotics Laboratory (PAIR) and is an affiliate professor at the Center for Intelligent Industry Robot (CI2R). Education: PhD in Mechatronics (Central South University, 2012), M.S. in Material Science (Central South University, 2005), B.S. in Agricultural Engineering (Hunan Agricultural University, 2002). Research focuses on IoT/robotics sensing, control systems, and AI integration for precision agriculture, environmental management, and infrastructure monitoring. Key areas include autonomous robotics, remote sensing, crop modeling, and explainable AI for decision support systems. Publications emphasize machine learning applications in disease detection (citrus, tomatoes, grapes), wildfire monitoring, and infrastructure health assessment. Over 40 peer-reviewed papers and $1.5M in grants secured since 2019. Awards include NSF CGCA Panel Fellow (2022) and editorial role at Agricultural Engineering International: CIGR Journal (2013). Labs/Teams: PAIR Lab (founded 2022), CI2R collaboration, interdisciplinary partnerships with soil scientists, engineers, and computer scientists.

Qi Zhangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• Trustworthy AI Systems
• +۴ مورد دیگر

Qi Zhang is an Assistant Professor in the Department of Computer Science and Engineering, AI Institute at the Molinaroli College of Engineering and Computing, University of South Carolina. His research focuses on developing safe, reliable, and trustworthy AI systems through advancements in reinforcement learning and decision-making algorithms for uncertain environments. He holds a Ph.D. from the University of Michigan (2020) and a B.E. from Shanghai Jiao Tong University (2015). Research interests include artificial intelligence, reinforcement learning, multi-agent systems, and decision-making under uncertainty. Key themes involve leveraging domain knowledge for robust AI solutions and ensuring ethical, transparent, and risk-aware system designs. His work spans applications in autonomous systems, healthcare, robotics, and materials science. Current projects emphasize improving algorithmic trustworthiness, safety, and adaptability across diverse contexts. He is affiliated with the AI Institute at USC and maintains an active research lab focused on these areas.

Clint Penickمشاهده پروفایل

استادیار

• Insect Ecology
• Urban Ecology
• Biomimicry/Bio-inspired Design
• +۳ مورد دیگر

Clint Penick is an Assistant Professor of Insect Ecology in the Department of Entomology & Plant Pathology at Auburn University's College of Agriculture. His research focuses on understanding insect ecology and behavior, particularly in urban environments, and translating biological insights into engineering solutions through biomimicry. Key areas include ant diversity patterns, climate change impacts on arthropods, and bio-inspired material design. Penick's work integrates field ecology, laboratory experiments, and computational modeling. He explores how ants adapt to urbanization, investigates antimicrobial defenses in social insects, and studies structural properties of biological materials like cactus wood and marine sponges. His research bridges entomology with engineering, contributing to advancements in robotics, meta-materials, and sustainable design. Notable projects include studying the invasive 'ManhattAnt' (Lasius emarginatus) in NYC, developing motion compensators for insect-like robots (TOLC), and analyzing form-function relationships in natural structures like the Venus flower basket. He collaborates across disciplines, involving engineers, computer scientists, and artists to apply biological principles to human challenges. Penick advises graduate and undergraduate students in his research areas, though specific advisees are not listed here. His work has been supported by various grants and collaborations, though grant details are not explicitly provided in the text. He maintains an active lab focused on ecological and applied entomology projects.

Ali Khosraviمشاهده پروفایل

استادیار

• Bioinspired Geotechnics
• Thermo-hydro-mechanical Processes
• Soil-Structure Interaction
• +۳ مورد دیگر

Ali Khosravi is an Assistant Professor in the Department of Civil and Environmental Engineering at Auburn University, specializing in bioinspired geotechnics and geomechanics. His work integrates advanced materials science, remote sensing, and computational modeling to address challenges in infrastructure resilience, climate change impacts, and sustainable geotechnical systems. He holds a Ph.D. from the University of Colorado Boulder and degrees from Sharif University of Technology. Research focuses include: Thermo-hydro-mechanical processes in soils and fractured rocks Soil-structure interaction for seismic and environmental applications Robotics-inspired probes for subsurface exploration Permafrost degradation under climate change Energy geosystems and geothermal applications Recent projects involve collaborating with the National Center for Additive Manufacturing Excellence (NCAME) to develop underground installation robots, assessing Arctic permafrost stability with multi-disciplinary teams, and using InSAR remote sensing to monitor infrastructure like levees and highways. His research bridges geotechnical engineering with emerging technologies like machine learning and bioinspired design. Grants and collaborations include Auburn Engineering’s Kiemyung University travel grant for international research partnerships. His lab focuses on innovative solutions for geohazards, energy efficiency, and smart infrastructure systems.

Chengzhou Tangمشاهده پروفایل

استادیار

• 3D Computer Vision
• Deep Learning
• Robotics
• +۳ مورد دیگر

Chengzhou Tang is an Assistant Professor in the Department of Computer Science at the University of Manitoba. His research focuses on 3D computer vision, deep learning, robotics, and embodied artificial intelligence. He leads the Spatial Intelligent System (SPINS) Lab, exploring topics such as 3D object reconstruction, camera localization, and video processing techniques. His work spans applications in robotics, virtual reality, and computational imaging. Dr. Tang's research interests include developing novel algorithms for multi-view diffusion models, deep recurrent optimizers, and subspace methods. He has contributed to advancements in video depth estimation, point cloud processing, and stabilization of 360-degree videos. His recent work emphasizes generative models and embodied AI, addressing challenges in sparse-view 3D reconstruction and scene-agnostic camera localization. His publications reflect a trend toward integrating deep learning with traditional computer vision problems, such as structure-from-motion and SLAM (Simultaneous Localization and Mapping). The SPINS Lab collaborates on projects involving global bundle adjustment networks and initialization-robust monocular SLAM systems. While no awards or grants are explicitly listed, his active publication record indicates sustained research engagement in these areas. Dr. Tang’s academic profile highlights his contributions to foundational techniques in computer vision and their practical applications in robotics and AI systems. His work bridges theoretical advancements with real-world challenges in imaging and spatial intelligence.

Michael A. Benderمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Cache and I/O-Efficient Computing
• +۷ مورد دیگر

Michael A. Bender is the John L. Hennessy Chaired Professor of Computer Science at Stony Brook University. His work spans both theoretical and applied domains in algorithms, data structures, and storage systems. He co-founded Tokutek, Inc., a database company acquired by Percona in 2015, and has held visiting positions at MIT and King's College London. Education: PhD in Computer Science from Harvard University (1998), DEA and Magistère in Computer Science from École Normale Supérieure de Lyon (1993), BA in Applied Mathematics from Harvard (1992). His research focuses on cache-oblivious algorithms , I/O-efficient computing , parallel systems , and scheduling . His work addresses scalability in large-scale data management and computational geometry, with applications in bioinformatics and robotics. The 15 most recent publications highlight advancements in list labeling , hash table design , graph algorithms , and memory optimization . These papers reflect his commitment to solving practical problems with rigorous algorithmic approaches. Awards include: PODS Best Paper Award (2024) ASPLOS Distinguished Paper Award (2023) USENIX FAST Best Paper Award (2016) Chancellor's Award for Excellence in Teaching (2015) R&D 100 Award (2006) He has led the Stony Brook Computer Science Honors Program and advised graduate students in algorithmic research. His grants portfolio includes 39 funded projects, emphasizing algorithm engineering and systems optimization.

Aakriti Upadhyayمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Motion Planning
• Topological Data Analysis
• +۳ مورد دیگر

Aakriti Upadhyay is a Research Fellow at the Colorado School of Mines (CSM), working in the Dynamic Automata Lab (DyALab) under Dr. Neil T. Dantam. She holds a Ph.D. in Computer Science from the University at Albany, SUNY, where she was part of the Robotics Algorithms and Computable Systems (RACS) lab under Dr. Chinwe P. Ekenna. Her research integrates Computational Geometry, Applied Mathematics, Machine Learning, and Topological Data Analysis (TDA) to advance motion planning for robotics and computational biology applications. Her work focuses on optimizing robot motion paths using topological methods, with extensions to identifying protein interaction sites. Key areas include robust path planning, fault tolerance in robotic systems, and topological modeling of biomolecular surfaces. Her research trends emphasize interdisciplinary applications of TDA, bridging robotics and computational biology. Collaborations include developing tools for Intrinsically Disordered Proteins (IDPs) analysis and enhancing path planning algorithms through geometric and topological insights. Aakriti has contributed to academic initiatives like the Student Activities Committee and advocated for women in engineering during the pandemic. Her work reflects a commitment to advancing both technical and community-oriented academic goals.

Pavan Poudelمشاهده پروفایل

استادیار

• Parallel and Distributing Computing Algorithms
• Robotics
• Internet of Things
• +۳ مورد دیگر

Dr. Pavan Poudel is an Assistant Professor of Computer Science at the University of Houston-Clear Lake (UHCL), part of the College of Science and Engineering. He joined UHCL in Fall 2024 after working as a Research Engineer in the software industry and completing a postdoctoral research position at Augusta University's Department of Computer and Cyber Sciences. He holds a Ph.D. in Computer Science from Kent State University (2021) and a Bachelor's in Computer Engineering from Tribhuvan University, Nepal. His research focuses on Parallel and Distributed Computing, Robotics, and Fault-Tolerance, with expertise in optimizing scheduling algorithms and designing scalable systems for distributed environments. Dr. Poudel's research includes transactional memory systems, distributed robotics algorithms (e.g., gathering, scattering, and coverage), and fault-tolerant solutions for real-time applications like medical and disaster response. His work bridges theoretical computer science with practical applications, emphasizing efficiency and scalability. He has published extensively in venues like Theoretical Computer Science (TCS) and Information, addressing topics such as time-optimal robot navigation and adaptive versioning in transactional memory. His academic awards include the Best Presentation Award at Kent State’s Graduate Research Symposium (2021) and scholarships like the John Sechrist and Hine Scholarships (2019–2020). He teaches courses such as Computer Organization and Assembly Language and Computer Game Programming. His publications demonstrate a strong focus on distributed systems, robotics algorithms, and concurrency control, reflecting his commitment to advancing scalable and reliable computing solutions.

Janet Dongمشاهده پروفایل

استاد

• Robotics
• Autonomous Vehicles
• Advanced Manufacturing
• +۴ مورد دیگر

Janet Dong is a Professor in Mechanical and Materials Engineering at the University of Cincinnati and Director of the UC Center for Robotics Research. Her work spans robotics, autonomous systems, and advanced manufacturing with applications in healthcare, space exploration, and urban infrastructure. She holds a PhD in Mechanical Engineering from Columbia University. Her research integrates: Autonomous vehicles and mobile robots Dynamic systems control Medical device innovation Industry 4.0/5.0 technologies Robotic exoskeletons and augmentation Her recent publications focus on practical robotics applications including lunar rovers, tick collection robots, medical exoskeletons, and urban maintenance systems. Research trends emphasize autonomous navigation, human-robot collaboration, space exploration technologies, and biomechanical augmentation. She leads multiple funded projects including a $1.29M Department of Energy grant for waste sorting automation and Ohio Bureau of Workers Compensation grants for human-robot safety. Her lab develops robotic solutions for lunar infrastructure, medical devices, and industrial automation.

WANG Zhisongمشاهده پروفایل

دانشیار

• Molecular Nanotechnology
• Biophysics
• DNA Nanotechnology
• +۳ مورد دیگر

WANG Zhisong is an Associate Professor at the National University of Singapore, leading the Molecular Motors Lab. His research focuses on experimental development of artificial molecular motors, particularly translational motors that differ from rotational systems awarded the 2016 Nobel Prize in Chemistry, with applications in biomedical nanotechnologies and precision engineering. Research Interests: The lab specializes in DNA-based molecular motors powered by light or chemical fuels, combining biophysical/biochemical techniques with stochastic thermodynamics. Applications include nanorobotics, DNA origami platforms, nano-assembly lines, and autonomous motion systems. Publications: Recent work explores light-selective control of DNA motors (2024), advanced nanorobotics via DNA origami (2023), and theoretical limits in directional fidelity (2013). Themes span sustainable motion, color-responsive systems, and integration of molecular motors with structural DNA nanotechnology. Contact: Office S16-07-07, Tel +65 6516 2606, Email phywangz@nus.edu.sg.

Fabien Royerمشاهده پروفایل

استادیار

• Space Structures
• Ultra-Lightweight Structures
• Structural Stability
• +۵ مورد دیگر

Fabien Royer is Assistant Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University, where he leads the Cornell Space Structures laboratory. He holds an M.Sc. from ISAE-SUPAERO (2016), M.Sc. from Caltech (2016), and Ph.D. from Caltech (2021). His research develops novel space structures using ultra-thin fiber composites to create large-scale orbital systems (>50m) for applications like climate monitoring radars and space-based solar power. Key innovations include overcoming structural instabilities, developing in-space manufacturing techniques, and engineering active space structures. Honors include Caltech's Ballhaus Prize for best doctoral dissertation, Sechler Memorial Award, and Keck Institute fellowship. His work contributed to NASA missions including AQUA, AURA, and the AAReST space telescope. Publications focus on thin-shell stability, deployable structures, and advanced space systems.