جست‌وجوی استاد و پژوهشگر

Robert DeSerioمشاهده پروفایل

مدرس ارشد

• Physics Education
• Experimental Physics
• Educational Technology
• +۳ مورد دیگر

Robert DeSerio is a Senior Lecturer and Director of Undergraduate Laboratories in the Department of Physics at the University of Florida, holding a PhD from the University of Chicago (1981). His work focuses on educational innovation in physics, particularly through designing hands-on experimental apparatus for introductory and advanced physics laboratories, integrating computer interfaces, and creating student guides for equipment usage. His research interests emphasize experimental physics education , pedagogical techniques , and modernization of undergraduate labs . He has developed tools for laboratory experiments in nonlinear dynamics, computational data acquisition, and quantum mechanics, often leveraging cost-effective or accessible technologies like quartz tuning forks for superfluid studies. The University of Florida Introductory Physics Experiments series exemplifies his commitment to accessible, repeatable educational resources. DeSerio’s publications span chaos theory , data analysis , and atomic physics , with a recurring focus on bridging experimental design and pedagogy. Key works include studies on chaotic pendula, Savitsky-Golay filters, and quantum coherence in hydrogen states. His collaborations with institutions like the National Science Foundation highlight contributions to faculty training programs.

Harry Asadaمشاهده پروفایل

استاد

• Robotics
• Wearable Robotics
• Bioengineering
• +۷ مورد دیگر

Professor Harry Asada is the Ford Professor of Engineering at the Massachusetts Institute of Technology (MIT) and Director of the d'Arbeloff Laboratory for Information Systems and Technology. His research spans robotics, wearable systems, bioengineering, and mechatronics, focusing on human-robot augmentation and modeling cellular dynamics. B.Sc., M.Sc., Ph.D. from Kyoto University (1973–1979) Key research areas include: Wearable robotic limbs for enhanced human mobility Smart actuators using piezoelectric and shape memory alloys Biomedical sensors for cardiovascular monitoring Microfluidic systems for angiogenesis studies Control systems for autonomous underwater and aircraft assembly robots Recent publications highlight advancements in wearable robotics, stochastic actuator control, and bioengineered tissue modeling. Awards include the Ford Professorship, ASME Fellow, IEEE Pioneer in Robotics and Automation Award (2023), and multiple best paper recognitions from IEEE, ASME, and SICE. 1997–2013: 8 U.S. patents for robotic actuators, sensors, and HVAC systems 2010–2011: Leadership roles in MIT's Mechanical Engineering Department committees 2000–2015: Taught core courses like 2.12 (Introduction to Robotics), 2.160 (Identification and Learning), and 2.04A (Systems and Controls)

George A. Kantorمشاهده پروفایل

استاد پژوهشی

• Robotics
• Control Systems
• State Estimation
• +۵ مورد دیگر

George A. Kantor is a Research Professor and Associate Director of Education at Carnegie Mellon University's Robotics Institute, based in the Collaborative Innovation Center (LL050). He leads the Kantor Lab and the AIIRA (AI Institute for Resilient Agriculture), focusing on controlling robotic systems with complex dynamics and state estimation through indirect measurements for applications in agriculture, underwater environments, and mining. His research spans agricultural robotics, field robotics, and control theory, emphasizing dynamics, kinematics, motion planning, and sensing/perception. Key areas include Robotics in Agriculture and Forestry, Underwater Robotics, Mining Robotics, and Sensing & Perception. He combines mathematical modeling with experimental validation to develop real-world solutions for balancing unstable robots and localizing autonomous vehicles in complex environments. Recent publications (2023-2025) reveal a dominant focus on agricultural robotics, featuring computer vision for crop monitoring, autonomous harvesting, and environmental sensing. Trends include transformer networks for fruit tracking, sim2real transfer techniques using Gaussian splatting, audio-visual contact classification, and LiDAR-based navigation in crop fields, demonstrating strong integration of deep learning with agricultural automation. No scientific awards were listed in the available information. Dr. Kantor actively mentors 4 current PhD students (Dominic Guri, John Kim, Mark Lee, Jenny Wang) and 2 master's students (Morgan Mayborne, Mohammad Nomaan Qureshi), with a track record of guiding 1 PhD graduate and over 20 master's graduates. His advising emphasizes agricultural robotics applications, reflected in student projects on robotic pruning, sensor calibration, and autonomous harvesting systems. He directs the Kantor Lab and contributes to AIIRA, developing systems like Bumblebee (autonomous vine pruning), Hefty (modular agricultural robot), and T-REX (vision-based leaf detection). Current work focuses on robotic manipulation in unstructured agricultural environments, sensor exchange for crop monitoring, and AI-driven solutions for resilient food systems.

Seth Goldsteinمشاهده پروفایل

دانشیار

• Programming Languages
• Systems
• Computer Architecture
• +۹ مورد دیگر

Seth Goldstein is an Associate Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research focuses on ensembles (massively scalable systems), distributed systems, reconfigurable computing, and programmable matter (Claytronics). He leads projects like BoLT (a decentralized lending platform) and Phoenix (computing without traditional processors). He has advised numerous graduate students and teaches courses including Compiler Design, Computer Architecture, and Cloud Computing. Research Interests : Goldstein explores systems with massive interacting components, such as molecular-scale devices, modular robotics, and economic systems. His work spans compilers (e.g., register allocation optimizations), time synchronization protocols for embedded systems, and algorithms for self-reconfiguring robots. Recent projects include BlockGraph (a secure distributed ledger) and peer code review methodologies. Key Contributions : Goldstein's work on Claytronics pioneered programmable matter, enabling shape-shifting materials. His BoLT platform addresses lending market inefficiencies using blockchain principles. He has also developed algorithms for modular robot coordination and energy-efficient self-reconfiguration. Labs/Teams : Goldstein directs research in the CMU Robotics Institute and collaborates with interdisciplinary teams on projects like the PipeRench and Phoenix architectures. His lab explores intersections between nanotechnology, distributed systems, and societal applications like new monetary systems.

Masood Khanمشاهده پروفایل

مدرس ارشد

• Affective Computing
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Dr. Masood Khan is a Senior Lecturer in Mechatronics and Mechanical Engineering at Curtin University’s School of Civil and Mechanical Engineering (Faculty of Science and Engineering). He teaches undergraduate and postgraduate courses including Mechatronic Design Projects, Sustainable Energy Systems, and oversees MPhil/PhD training in mechatronics and robotics. His research focuses on human-centered AI applications, including affective computing, responsible AI, and biomedical engineering. Notable projects include developing AI-driven tongue-strengthening systems for dysphagia therapy and thermal imaging for stress diagnosis, supported by a $1.35M CRC grant. He holds the Research Excellence Award (2006) and is a Fellow of the Higher Education Academy (UK) and Pakistan Academy of Engineering. His work spans over 60 peer-reviewed publications, with recent emphases on generative AI in education and explainable machine learning frameworks. Research Highlights: AI-based tongue-strengthening devices for swallowing therapy Thermal imaging for osseous stress pathology detection Facial thermal feature analysis for emotion recognition Intelligent tutoring systems for industrial training Grants & Awards: $1.35M CRC SmartCrete Grant (2016) $440K equipment support for thermography research Fellowships: Higher Education Academy (UK), Pakistan Academy of Engineering Teaching & Supervision: Leads capstone projects and supervises graduate research in mechatronics, AI, and biomedical robotics. Active in curriculum development for technical education in Brunei and SEAMEO.

Jnaneshwar Dasمشاهده پروفایل

استادیار

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

Jnaneshwar Das is a Research Assistant Professor at Arizona State University's School of Earth and Space Exploration (SESE), serving as core faculty at the Center for Global Discovery and Conservation Science (GDCS) and a collaborator with the Digital Discovery Initiative (DDI). He directs the Distributed Robotic Exploration and Mapping Systems (DREAMS) Lab, focused on autonomous robotic systems and cyber-physical twins for terrestrial, aquatic, and extraterrestrial exploration. His work integrates robotics, machine learning, and environmental monitoring to advance applications in geology, oceanography, and precision agriculture. Professional Affiliations: SESE, Water Institute, GDCS, Walton Center for Planetary Health Lab Focus: Robotic systems for environmental sampling, 3D mapping, and digital twin development Key Projects: EarthRover, CoRAL (Collaborative Robotic Aquatic Laboratory), and planetary exploration tools Research interests include robotics for extreme environments, autonomous systems for environmental monitoring, and decision-theoretic approaches to optimize sampling strategies. His lab develops low-cost robotic platforms like the ShakeBot for seismic studies and the Flippy quadrotor for acrobatic delivery. Recent publications highlight innovations in terrestrial observing networks, high-altitude balloon payloads, and virtual simulation tools for planetary geology. Advising Ph.D. student Rodney Staggers Jr., his work bridges robotics, earth sciences, and space exploration.

Hossein Mirinejadمشاهده پروفایل

استادیار

• Optimal Drug Dosing
• Healthcare Automation
• Optimal Control Theory
• +۴ مورد دیگر

Hossein Mirinejad is an Assistant Professor in the College of Aeronautics and Engineering at Kent State University. He previously served as a Research Fellow at the FDA (2017-2019) and Postdoctoral Fellow at the University of Michigan. His research focuses on healthcare automation, optimal control applications in critical care, and autonomous robotic systems. Key research areas include precision dosing algorithms for fluid resuscitation, reinforcement learning for medical decision-making, hardware-in-the-loop testing of medical devices, and control systems for flexible manipulators. His work bridges engineering and clinical applications, emphasizing personalized treatment and medical device innovation. Mirinejad directs the Control, Automation, and Mechatronics (CAM) Lab and has secured multiple NSF grants including a CAREER award. He mentors graduate students in projects spanning medical AI, control theory, and robotic systems.

Kostas Vlachosمشاهده پروفایل

استادیار

• Control Systems
• Robotics
• Microrobotics
• +۴ مورد دیگر

Kostas Vlachos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina, Greece. His research focuses on robotic control systems, microrobotics, haptic mechanisms, and medical robotic simulators. He holds a PhD in Automatic Control and Robotics from the National Technical University of Athens (2004), an M.S. from the same institution (2000), and a B.Sc. in Electrical Engineering from the Technical University of Dresden (1993). Prior to his current role, he served as a Visiting Lecturer at the University of Thessaly's Mechanical Engineering Department (2007-2013). Education: B.Sc. (Dresden, 1993), M.S. (NTUA, 2000), Ph.D. (NTUA, 2004) Research Themes: Control of robotic mechanisms, medical simulators, haptic devices, and autonomous navigation systems Professional Experience: Software Analyst at INTRACOM S.A. (1996-1998), Visiting Lecturer (2007-2013) His research emphasizes autonomous marine platforms, haptic telemanipulation, and reinforcement learning applications . Notable projects include underwater robot navigation, internet-based haptic control, and medical training simulators. He is a member of the University of Ioannina's Information Processing and Analysis (I.P.AN.) research group. Advising spans 15+ students in robotics, control systems, and medical device development. Current students focus on topics like intelligent perception, force controllers for haptic devices, and mini-robot design. Past work includes over 70 student projects in path planning, robotic arm control, and sensor fusion. His publications (2025–1981) cover advanced control methodologies, microrobotics, and medical haptics. Recent work explores ensemble neural MPC, low-cost unmanned vehicles, and reinforcement learning in dynamic environments.

Robert L. Williams IIمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Haptics
• +۶ مورد دیگر

Robert L. Williams II is a Professor and Assistant Chair of Mechanical Engineering at Ohio University's Russ College of Engineering and Technology. He specializes in robotics, biomechanics, and haptics research. Previously, he worked at NASA Langley Research Center as a space roboticist and held sabbaticals at NIST and the University of Puerto Rico. He earned his Ph.D. in Mechanical Engineering from Virginia Tech in 1988. His research focuses on parallel robots, cable-suspended systems, mobile robotics, and haptic interfaces for medical training and simulation. He has published over 47 journal articles and 136 conference papers, secured $4M in external grants, and developed patents like the 'Contour Crafting Cartesian Cable Robot.' Williams teaches courses such as robotic manipulators and biomechanics, and advises on projects like the NASA JSC ARGOS and Arecibo Reclamation initiatives. His awards include the Russ Outstanding Undergraduate Teaching Award and the Best Research Paper Award in Healthcare Simulation. He also engages in community outreach through robotics education for K-12 students and church music.

• Dynamics and Control
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Animesh Chakravarthy is a Professor in the Department of Mechanical and Aerospace Engineering at The University of Texas at Arlington (UTA). He holds a PhD in Aeronautics and Astronautics from MIT (2007). His research focuses on Dynamics and Control, Robotics, Autonomous Systems, and Cyber-physical Systems, with notable contributions to UAV collision avoidance, swarm intelligence, and cyber-resilient networks. He has led over $5M in federal grants from NSF, NASA, and DOD, including a NSF CAREER Award (2014). His work has been featured in journals like IEEE Transactions and AIAA Journals, and news articles highlight innovations in drone safety and autonomous flight systems. Chakravarthy advises numerous graduate students and has supervised 20+ theses/dissertations. He is a Fellow of AIAA (2020), Member of the National Academy of Inventors (2021), and serves on editorial boards for major conferences (e.g., American Control Conference). His lab develops cutting-edge solutions for UAV swarms, morphing aircraft, and cyber-physical security.

Mark Neiderمشاهده پروفایل

استاد

• Visual Attention
• Cognitive Aging
• Driving Simulation
• +۳ مورد دیگر

Mark Neider is Professor and Associate Department Chair in Psychology at the University of Central Florida's College of Sciences. He directs the Applied Cognition and Aging Laboratory investigating perception, attention, and skill acquisition across the lifespan. Research examines: Attentional mechanisms in realistic contexts Age-related changes in visual cognition Driving performance and distraction Human-computer interaction design principles Recent publications (2023-2025) demonstrate: Advanced methodologies using eye tracking and VR Applications in cybersecurity (phishing detection) Perceptual guidance mechanisms in complex scenes Interruption effects on cognitive tasks Research employs driving simulators, virtual environments, and eye-tracking to understand real-world cognitive performance from childhood through older adulthood.

Sanjib Surمشاهده پروفایل

دانشیار

• Wireless systems
• Millimeter-wave networks
• Internet of Things
• +۲ مورد دیگر

Sanjib Sur is an Associate Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on wireless systems for healthcare, mobility sensing, and IoT connectivity. Research interests span: Millimeter-wave communication networks Contactless health monitoring technologies Intelligent transportation systems Edge computing for sensor networks His recent publications demonstrate strong focus on non-contact sensing for healthcare (sleep analysis, stroke rehabilitation) and smart infrastructure (traffic monitoring, outdoor networking). Technical approaches consistently integrate millimeter-wave systems with deep learning for robust environmental operation.

Yan Tongمشاهده پروفایل

استاد

• Computer Vision
• Human-Computer Interaction
• Affective Computing
• +۳ مورد دیگر

Yan Tong is Thomas E. Hattrick Chair Professor in Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. Her research focuses on computer vision, pattern recognition, and human-computer interaction, with applications in affective computing, healthcare, and multi-robot systems. Her research integrates computer vision with machine learning to solve problems in human behavior analysis and robotic perception. Key areas include facial action recognition, eye gaze tracking, and probabilistic graphical models for uncertainty management. Recent work extends to gait analysis systems combining wearable sensors and robotics for clinical applications. Tong's publication trends show strong integration of deep learning with robotics, particularly in navigation systems, human-robot interaction, and biomedical engineering. Her research consistently bridges theoretical machine learning with practical applications in healthcare and assistive technologies. She leads a substantial research group with 11 current PhD students and has graduated 6 PhDs. Professional service includes editorship of IEEE Robotics and Automation Magazine and leadership roles in major conferences including ICRA and IROS.

Simon Parkinsonمشاهده پروفایل

استاد

• Cyber Security
• Artificial Intelligence
• Access Control
• +۵ مورد دیگر

Simon Parkinson is a Professor of Cyber Security at the University of Huddersfield's School of Computing and Engineering, serving as Director of the Centre for Cybersecurity and Computer Science Department Research Coordinator. His active research program focuses on securing digital systems through AI-driven approaches, with leadership roles in multiple research centers and acceptance of new PhD students. His research expertise spans Cyber Security and Artificial Intelligence, with concentrated work on identity management, biometric authentication, and access control systems. Key contributions include developing novel methods for detecting security weaknesses in enterprise IT systems and leveraging behavioral biometrics (e.g., keystroke dynamics, fitness device data) for intrusion prevention. This work directly supports UN Sustainable Development Goals through secure technology development. Recent publications (2024-2025) reveal strong interdisciplinary trends, particularly at the intersection of machine learning security frameworks, biometric spoofing countermeasures, and transportation system vulnerabilities. A notable pattern involves applying human factors research (eye tracking, situational awareness) to enhance cybersecurity in augmented reality and connected vehicle environments. Professional recognition includes multiple teaching awards: School Supervisor of the Year (2018, 2019, 2024) University Supervisor of the Year (2020) His supervision excellence is evidenced by 20 completed research degrees (15 PhD, 5 Master by Research) and examination of 10 international PhD theses. Major grant leadership includes £2.6m+ in funding from EPSRC, DSTL, and Innovate UK for cybersecurity initiatives: Centre for Biominetic Societal Futures (2021-2024) Digital Catapult EPSRC Fellowship AI-driven precision manufacturing projects As Centre for Cybersecurity Director, he leads initiatives in threat detection frameworks and collaborates with the Centre for Planning, Autonomy and Representation of Knowledge on AI applications for societal resilience, including biometric security systems and critical infrastructure protection.

Yinan Wangمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Uncertainty Quantification
• +۳ مورد دیگر

Yinan Wang serves as an Assistant Professor in the Department of Industrial and Systems Engineering at Renssela Polytechnic Institute (RPI), focusing on engineering-driven machine learning applications for advanced manufacturing and robotics systems. Education: Ph.D., Industrial and Systems Engineering, Virginia Tech, 2022 M.S., Electrical Engineering, Columbia University, 2019 B.S., Electrical Engineering and Automation, Xi'an Jiaotong University, 2017 Research Interests: Dr. Wang's work bridges machine learning with industrial engineering through deep learning, uncertainty quantification, and system intelligence. His research targets advanced manufacturing challenges including robotic path planning, 3D anomaly detection, and environmental monitoring systems. Key application areas span aerospace assembly, toxic plume prediction, and quality control in industrial settings. Publication Trends: His 2024-2025 publications reveal three dominant themes: (1) transformer model compression for time-series forecasting (Smartformer), (2) geometric contrast learning for industrial point cloud segmentation (GeoContrast), and (3) multimodal physiological signal analysis for aviation safety prediction. These works consistently integrate physics-based constraints with deep learning architectures. Scientific Awards: Mary G. and Joseph Natrella Scholarship, American Statistical Association (ASA), 2022 Featured Article in ISE Magazine, Institute of Industrial and Systems Engineers (IISE), 2022 SPES + Q&P Best Student Paper Award, American Statistical Association (ASA), 2022 Educational Foundation Scholarship and Analysis Division Scholarship, International Society of Automation (ISA), 2021 Gilbreth Memorial Fellowship, Institute of Industrial and Systems Engineers (IISE), 2021 Data Mining & Decision Analytics (DMDA) Best Theoretical Paper Award, INFORMS, 2021 Finalist of Best Student Paper Award, Quality, Statistics & Reliability (QSR) Section, INFORMS, 2021 Best Poster Award, Manufacturing Science & Engineering Conference (MSEC), ASME, 2021 Advising and Grants: No publicly listed advisees or specific grant awards appear in the source material, though his extensive publication record and research center affiliations suggest active grant-supported projects. Labs and Teams: Dr. Wang contributes to RPI's Institute for Data Exploration and Applications (IDEA) and Center for Materials, Devices, and Integrated Systems (CMDIS), participating in interdisciplinary teams focused on data-driven engineering solutions.