جست‌وجوی استاد و پژوهشگر

Emma Alexanderمشاهده پروفایل

استادیار

• Computational Imaging
• Bio-Inspired Vision
• Physics-Based Computer Vision
• +۳ مورد دیگر

Emma Alexander is an Assistant Professor of Computer Science at Northwestern University's McCormick School of Engineering, with a courtesy appointment in Electrical and Computer Engineering. Her work bridges computational imaging, biological vision principles, and sustainable AI systems. She leads the Bio Inspired Vision (BIV) Lab, focusing on developing cameras and algorithms inspired by natural vision systems. Key research areas include bio-inspired color sensing, depth estimation, and physics-informed machine learning for scientific imaging. Education: PhD and MS in Computer Science from Harvard University, BS in Physics and Computer Science from Yale University. Research emphasizes reverse-engineering biological vision to advance imaging technologies. Notable projects include hyperspectral colorization, zebrafish optic flow analysis, and metalens-based depth sensors. Awards include Best Student Paper (ECCV 2016) and Best Demo (ICCP 2018). Her lab collaborates with astrophysicists through the SkAI Institute and engages in outreach through courses like Natural and Artificial Vision. Teaching includes graduate Computational Optics and an advanced undergraduate course on vision science. She mentors over 10 students annually, with undergraduates contributing to publications at CVPR and MNRAS.

Michael A. Peshkinمشاهده پروفایل

استاد

• Robotics
• Cobots (Collaborative Robots)
• Surface Haptics
• +۴ مورد دیگر

Michael A. Peshkin is a Professor of Mechanical Engineering at the Murphy Department of Mechanical and Industrial Engineering , Murphy Institute , and holds the Allen K. and Johnnie Cordell Breed Senior Professor in Design title. He is affiliated with the Master of Science in Robotics Program and the Segal Design Institute as their Engineering Education Lead (2021-). His work spans robotics, haptics, and voting accessibility research. Education: Ph.D. Physics, Carnegie Mellon University (1987) M.S. Experimental Solid State Physics, Cornell University (1982) B.A. Physics, University of Chicago (1979) Research interests focus on surface haptics (e.g., electroadhesion-based tactile feedback), collaborative robots (cobots) , and bioinspired electrosense . He also advocates for democracy through voting accessibility initiatives , studying how long polling lines disproportionately affect minority voters. His innovations include the TPaD haptic surface and spin-offs like Tanvas (2010) for tactile interfaces and Mako Surgical Corp (1995) for robotic surgery tools. Publications reflect a strong emphasis on haptic technologies and robotic safety. Notable trends include advancing electroadhesive surfaces, optimizing texture rendering, and exploring human-robot interaction dynamics. His work on cobots has addressed both industrial applications and healthcare rehabilitation. Scientific Awards: ASEE Ralph Coats Roe National Educator Award (2017) Fellow, National Academy of Inventors (2014) Charles Deering McCormick Professor of Teaching Excellence (2011–2014) Teaching contributions include pioneering Electronics Design and Engineering Analysis 3 , emphasizing hands-on learning via portable labs. He advises on mechatronics projects and co-founded companies like Cobotics and Kinea Design . His research teams collaborate across disciplines, integrating robotics with biosystems and educational outreach.

Jianguo Jack Wangمشاهده پروفایل

مدرس

• Sensor Fusion
• Robotics
• Intelligent Transportation Systems
• +۴ مورد دیگر

Dr. Jianguo Jack Wang is a Lecturer at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS). He holds a B.Sc. in Physics from Nanjing University, M.Sc. in Electrical and Information Engineering from The University of Sydney, and a PhD in Geomatics from UNSW. His research focuses on sensor fusion, robotics, intelligent transportation systems, and environmental engineering. He has published over 70 papers and supervised around ten PhD/Master students. Notable achievements include the Michael Richey Medal for his navigation method innovation. Dr. Wang’s research interests span robotics path planning, UWB-based positioning, and multi-sensor integration. His work emphasizes practical applications in autonomous systems and environmental sustainability. He actively reviews for top journals like IEEE Transactions on Intelligent Transportation Systems and conferences such as ICRA and IROS. He has led funded projects on sensor fusion for road assessment and participated in initiatives like the Centre for Built Infrastructure Research (CBIR). His teaching includes courses on Geographic Information Systems and Civil Engineering. Dr. Wang is affiliated with IEEE Robotics and Automation Society and the Institute of Navigation (ION).

Jie Fuمشاهده پروفایل

استادیار

• Autonomous Systems
• Control Theory
• Game Theory
• +۴ مورد دیگر

Dr. Jie Fu is an Assistant Professor at the Department of Electrical and Computer Engineering , University of Florida , within the Herbert Wertheim College of Engineering. She holds the Nelms Rising Star Endowed Professorship . Her research focuses on synthesizing correct-by-construction autonomous systems through formal methods, machine learning, control theory, and game theory. Education: M.Sc. in Electrical Engineering & Automation, Beijing Institute of Technology (2009) Ph.D. in Mechanical Engineering, University of Delaware (2013) Research Interests: Dr. Fu’s work spans preference-aware decision-making with human-in-the-loop systems, adaptive control under temporal logic constraints, and game-theoretic design of secure autonomous systems. Key applications include cyber-physical system security, human-autonomy collaboration, and deception-resistant cyber defense. Awards & Grants: NSF CAREER Award (2022) DARPA Young Faculty Award (2021) AFOSR Young Investigator Award (2021) $1.3M ARL Grant (2025) for hierarchical game planning $550K NSF CAREER Award (2022) Advising & Collaborations: Advises PhD students in robotics, control systems, and cybersecurity Collaborates with Raytheon BBN, UT Austin, and Purdue University Leads projects on tactical autonomous systems and proactive cyber defense Labs & Teams: Her lab develops trustworthy autonomous systems , emphasizing security, adaptability, and human collaboration. Projects include soft robot locomotion, semantic SLAM, and deception-aware planning.

Rob Eschmannمشاهده پروفایل

دانشیار

• Race and Racism in the Digital Era
• Online Experiences and Real-World Outcomes
• Racial Microaggressions and Health
• +۳ مورد دیگر

Rob Eschmann is an Associate Professor of Social Work at Columbia University’s School of Social Work. He is part of Columbia’s inaugural Race and Racism Scholarship cluster hire, focusing on dismantling white supremacy through research and education. His work bridges digital and physical spaces, examining how online communication shapes racial discourse, microaggressions, and resistance strategies. Eschmann’s research explores the intersection of technology and race, including the impact of social media on racial microaggressions, digital resistance tactics, and the role of virtual reality in antiracist education. He recently completed a book titled When the Hood Comes Off: Racism and Resistance in the Digital Era , analyzing evolving expressions of racism and structural resistance mechanisms. He teaches Foundations of Social Work Practice , emphasizing antiracist frameworks in professional contexts. His interdisciplinary approach involves collaborations across departments, leveraging computational tools like DMI-TCAT and Gephi for social media analysis. Eschmann views New York City as a dynamic space for research and community engagement, inspired by its historical and cultural layers explored in N.K. Jemisin’s speculative fiction. Key areas of exploration include: antiracist efficacy measurement, prison abolition discourse through Twitter, and transnational communication patterns among immigrant youth. He actively develops VR tools to train individuals in real-time responses to racism.

Lei Cuiمشاهده پروفایل

مدرس ارشد

• Robotics
• Mechatronics
• Biorobotics
• +۲ مورد دیگر

Lei Cui is a Senior Lecturer in Mechatronics at Curtin University's School of Civil and Mechanical Engineering, where he heads the Biorobotics Research Lab. He holds a PhD in Engineering (Robotics) from King's College London and was a Postdoctoral Fellow at Carnegie Mellon University's Robotics Institute. Research focuses on robotics and mechatronics with applications in biomedical engineering and environmental monitoring. Key areas include: rehabilitation robotics (exoskeletons for hand/knee function), underwater bio-inspired sensing systems, robotic manipulation via rolling/sliding contact, and neural-adaptive control systems. Recent projects integrate AI for soil carbon analysis and attention-based rehabilitation. Publications emphasize interdisciplinary innovation, with trends showing progression from fundamental kinematics (2015-2017) to AI-enhanced biomedical applications (2018-2022). Notable methodological advances include neural control frameworks, biomimetic sensor designs, and optimization techniques for assistive devices. Awards include: Editors' Choice Award, Journal of Mechanical Design (ASME 2018) IEEE/RSJ IROS Best Paper Finalist (2016) Curtin University Commercial Innovation Award (2015) Laboratory work centers on the Biorobotics Research Lab, focusing on human-robot interaction and neuromotor devices. No students or grants are detailed in provided materials.

• Monte Carlo radiation transport simulation
• Medical physics
• Radiation protection
• +۴ مورد دیگر

Professor Susanna Guatelli is a leading academic in radiation physics and medical applications at the University of Wollongong (UOW), affiliated with the School of Physics within the Faculty of Engineering and Information Sciences. She is currently the Interim Head of the School of Physics and Theme Leader for 'Monte Carlo simulations' in the Centre for Medical Radiation Physics at UOW. Her research focuses on Monte Carlo simulation techniques for radiation protection, medical physics, and space exploration, with significant contributions to Geant4 software development and benchmarking. Guatelli obtained her Master's and PhD in Physics from the University of Genova (Italy) and INFN Genova, with early career work at CERN on radiation effects in space missions. She has held key roles in international collaborations, including the Geant4 International Collaboration Steering Board and leadership of medical physics benchmarking groups. Her research interests span radiation protection for astronauts, medical radiation therapy optimization, and advanced imaging techniques. Notable recognitions include the Australian Institute of Physics' Women in Physics Award (2021) and inclusion in the UOW Women of Impact (2016). She actively participates in public outreach to inspire youth in physics and serves as an Associate Editor for journals like Physica Medica . Guatelli has secured over 30 grants since 2012, focusing on medical radiation research, space radiation monitoring, and machine learning in therapy planning. Her current projects include DoseGAN for microbeam radiation therapy and Space RAdiation Monitoring System (SRAMS) for lunar missions.

• Cybersecurity
• AI/Machine Learning
• Wireless Networking
• +۹ مورد دیگر

Dr. Danda B. Rawat is an Associate Dean for Research & Graduate Studies and Full Professor in the Department of Electrical Engineering & Computer Science at Howard University's College of Engineering and Architecture (CEA). He leads several initiatives, including the Howard University Data Science & Cybersecurity Center and the DoD Center of Excellence in AI/ML. His research focuses on cybersecurity, machine learning, and wireless networking for emerging systems like IoT, smart cities, and tactical autonomy. Dr. Rawat has secured over $110M in research funding and graduated 39 PhD students, many from underrepresented groups. He holds numerous awards, including the NSF CAREER Award and DHS Scientific Leadership Award. Education : PhD in Computer Science from Old Dominion University. Research Interests : Cybersecurity, AI/ML, wireless networking, tactical autonomy, federated learning, and quantum computing. His work addresses challenges in secure autonomous systems, edge intelligence, and ethical AI. Awards : Includes NSF CAREER, DHS Leadership Award, Presidents’ Medal (Howard University), and IEEE recognitions. He is a Fellow of the IET and ACM/IEEE Distinguished Lecturer. Labs & Teams : Directs the CWiNs Lab, DoD CoE-AIML, and RITA (UARC). Active in federal consortia linking HBCUs to defense innovation. Grants : Over $110M as PI, including a historic $90M USAF contract for RITA, the first HBCU-led UARC.

Giancarlo Fortinoمشاهده پروفایل

استاد

• Internet of Things
• Wearable Computing
• Distributed Systems
• +۲ مورد دیگر

Giancarlo Fortino is a Full Professor of Computer Engineering at the University of Calabria, where he directs the SPEME lab and serves as Rector's delegate to International Relations. He holds a PhD in Computer Engineering from the University of Calabria and has held distinguished positions at Wuhan University of Technology and Huazhong Agricultural University. His research spans wearable computing systems, Internet of Things, e-Health, and distributed systems. He leads development of open-source frameworks including SPINE for body sensor networks and BodyCloud for cloud-assisted healthcare systems. His work consistently addresses real-world challenges in IoT and edge computing. Professor Fortino has received numerous honors including IEEE Fellow (2022), Highly Cited Researcher recognition (2020-2022), and best paper awards at premier conferences. He has authored over 600 publications and leads multiple EU-funded projects on IoT systems. He co-founded SenSysCal and BigTech spin-offs, serves on editorial boards of premier journals, and has graduated 10 PhD students who now hold academic and industry positions worldwide.

Fuxin Huangمشاهده پروفایل

عضو هیئت علمی

• Ship Design and Optimization
• Hydrodynamics
• Computational Fluid Dynamics
• +۳ مورد دیگر

Fuxin Huang holds the position of Research Assistant Professor in the Physics & Astronomy Department at George Mason University. His work focuses on computational methods in naval architecture and hydrodynamics, particularly ship hull design optimization using advanced algorithms and numerical techniques. He is affiliated with the university's research programs in marine engineering and fluid dynamics. Research Interests: Dr. Huang specializes in hydrodynamic optimization of ship hull forms, computational fluid dynamics (CFD), and the application of bio-inspired algorithms like the Artificial Bee Colony (ABC) for solving complex engineering problems. His work bridges theoretical fluid mechanics with practical ship design challenges, emphasizing drag reduction and seakeeping performance. Key Research Themes: His recent publications highlight contributions in NURBS-based hull modification techniques, validation of Neumann-Michell wave theories, and error analysis in Green function applications for ship wave simulations. The studies often combine numerical modeling with experimental validation to ensure practical relevance. Advising & Grants: No specific grants or advisees are listed in the provided materials. Dr. Huang's work primarily centers on collaborative computational projects within the naval engineering domain.

• 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.

Eric Tytellمشاهده پروفایل

دانشیار

• Biomechanics
• Neural Control of Locomotion
• Fish Swimming
• +۵ مورد دیگر

Eric Tytell is an Associate Professor in the Department of Biology at Tufts University, within the School of Arts and Sciences. He holds a PhD in Biology from Harvard University (2005), an MPhil in Zoology from the University of Cambridge (1999), and a BA in Biology and Physics from the University of North Carolina (1998). His research focuses on the biomechanics and neural control of locomotion in fishes, particularly how they generate propulsive forces and maintain stability in dynamic environments. His work integrates experiments, computational modeling, and robotics to explore feedback loops between sensory input, neural circuits, and body mechanics. Key research themes include the role of the lateral line system in schooling behavior, the biomechanics of rapid turns, and the design of bio-inspired swimming robots. He leads the Tytell Laboratory, which collaborates on projects involving fluid dynamics, muscle physiology, and evolutionary adaptations. Notable grants include NSF-funded studies on locomotor biomechanics and Army Research Office projects on neuromechanical control. He teaches courses such as Experiment in Physiology and advises graduate students in neurobiology and ecology.

• Neuroscience
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Prof. Jochen Triesch is a Senior Fellow and Johanna Quandt Research Professor at the Frankfurt Institute for Advanced Studies (FIAS), with concurrent professorships in Physics and Computer Science at Goethe University Frankfurt. His research bridges theoretical neuroscience, machine learning, and medical applications, focusing on cognitive processes, spiking neural networks, and developmental AI. He leads a lab investigating how intelligent systems emerge through self-organization and learning, with applications in healthcare and robotics. Education and affiliations include a physics background and roles at UC San Diego before joining FIAS. His lab offers open thesis topics in machine learning, neuroscience, and medical diagnostics, with notable work on epilepsy prediction and brain tumor detection via AI. Research interests span neural coding, unsupervised learning, and embodied vision. Key awards include the EU’s Marie Curie Excellence Center Award (2006). His lab collaborates extensively, with projects on neural dynamics, computational pathology, and virtual reality applications for vision disorders. Teaching includes courses on theoretical neuroscience, reinforcement learning, and complex systems. Over 30 students have graduated under his mentorship, many contributing to AI, healthcare, and neuroscience fields. Labs/Teams: Triesch Lab (FIAS) focuses on interdisciplinary approaches to brain-inspired AI, combining experimental and computational methods to understand learning and perception.

Alex Azizمشاهده پروفایل

مدرس

• Computational Materials Science
• Energy Storage
• Defective Graphene
• +۲ مورد دیگر

Dr. Alex Aziz is a Lecturer in Materials/Physical Chemistry at Manchester Metropolitan University’s Joint Education Institute with Hubei University. He holds a PhD in computational chemistry (University of Reading) and completed postdocs at CICEnergiGUNE (Spain), Tohoku University (JSPS fellowship, Japan), and University of Bath. Research employs density functional theory (DFT) and molecular dynamics to optimize materials for energy storage/generation, especially defective graphene supercapacitors and battery systems. Collaborates internationally on photovoltaic and thermoelectric materials. Recent articles (2021-2024) focus on computational design of carbon nanomaterials, battery cathodes, and biomimetic hybrids, with emerging work in AI for materials discovery. Teaches thermodynamics, kinetics, and materials characterization at undergraduate/postgraduate levels. Member of Royal Society of Chemistry and JSPS Alumni. Reviews for Scientific Reports and ACS journals.

Ge Wangمشاهده پروفایل

استاد

• Artificial Intelligence in Medical Imaging
• Computed Tomography
• Deep Learning Reconstruction
• +۲ مورد دیگر

Ge Wang is the Clark & Crossan Endowed Chair Professor and Director of the Biomedical Imaging Center at Rensselaer Polytechnic Institute. A pioneer in computed tomography and AI-based medical imaging, he developed the cone-beam spiral CT method and leads the 'AI4TMI' initiative as Editor-in-Chief of IEEE Transactions on Medical Imaging. His cross-disciplinary appointments span Biomedical Engineering, Electrical and Computer Engineering, and the Center for Computational Innovations. Education: Ph.D. in Electrical and Computer Engineering, University at Buffalo M.S. in Remote Sensing, University of Chinese Academy of Sciences B.E. in Signal Processing, Xidian University Research focuses on AI-driven tomographic reconstruction, low-dose CT, photon-counting systems, and multi-modality imaging integration. Key innovations include deep learning frameworks for image enhancement, virtual CT workflows, and foundation models for medical diagnostics. Recent work emphasizes generative AI for synthetic medical data creation and physics-inspired neural networks. Publication analysis reveals three dominant themes: 1) Advanced reconstruction algorithms for low-dose CT, 2) Multimodal foundation models for cancer screening, 3) AI-optimized hardware interfaces. His 15 most recent articles demonstrate consistent focus on improving diagnostic accuracy while reducing radiation exposure. Awards and Honors: IEEE EMBS Career Achievement Award (2021) SPIE Meinel Technology Award (2022) Sigma Xi Chubb Award for Innovation (2022) RPI Wiley Distinguished Faculty Award (2023) IEEE NPSS Hoffman Medical Imaging Scientist Award (2023) AAPM Edith H. Quimby Lifetime Achievement Award (2025) Advises PhD students on photon-counting CT, MRI reconstruction, and AI applications. Secured over $40M in funding from NIH, NSF, GE Healthcare, and NVIDIA. Directs the Wang-AXIS Lab, collaborating with FDA, Stanford, and Harvard on projects like the NIH-funded cardiac CT initiative. Leads the Biomedical Imaging Center's 25+ member team developing next-generation imaging systems. Current projects include real-time tomographic scanners, nanoparticle-enabled MRI, and hybrid CT-MRI platforms. The lab maintains open-source repositories for AI-based reconstruction algorithms.