جست‌وجوی استاد و پژوهشگر

Fei Wangمشاهده پروفایل

استاد

• Power Electronics
• Power Systems
• Motor Drives
• +۳ مورد دیگر

Fei Wang is a Professor and Condra Chair of Excellence in Power Electronics at the University of Tennessee, Knoxville (UTK), affiliated with the Tickle College of Engineering and the Min H. Kao Department of Electrical Engineering and Computer Science. He serves as Technical Director of CURENT and holds a joint appointment at Oak Ridge National Lab. His expertise spans power electronics converters, motor drives, wide bandgap devices, and renewable energy systems. Education: B.S. in Electrical Engineering, Xi’an Jiaotong University, 1982 M.S. and Ph.D. in Electrical Engineering, University of Southern California, 1985 and 1990 Research Interests: Focuses on design, modeling, and control of advanced power electronics systems, including grid integration of renewable energy, electric vehicle drivetrains, and wide bandgap semiconductor applications. He has authored over 500 publications and holds 20 patents, with funding exceeding $65M and personal share over $18M. Key Contributions: Developed three-level NPC medium voltage drives at GE Co-founded CURENT and led its technical strategy Recipient of IEEE IAS Gerald Kliman Innovator Award (2018), Dushman Award (1998), and multiple research excellence awards Grants & Advising: Supervised 13 Ph.D. and 8 M.S. students, advised postdocs, and hosted over 35 visiting scholars. Active in IEEE standards development and editorial roles. Labs & Teams: Leads the CURENT Engineering Research Center, focusing on ultra-wide-area power grid resilience through advanced power electronics and system integration.

Sebastian Lothمشاهده پروفایل

استاد

• Quantum Physics
• Atomic-Scale Physics
• Scanning Tunneling Microscopy
• +۵ مورد دیگر

Sebastian Loth is Professor and Managing Director of the Institute for Functional Matter and Quantum Technologies (FMQ) at the University of Stuttgart, leading cutting-edge research in atomic-scale quantum phenomena. His work integrates advanced scanning tunneling microscopy with quantum engineering to probe and manipulate matter at fundamental limits. His research spans: Quantum Physics and Computing (qubit design, error correction) Atomic-Scale Engineering (single-atom manipulation, quantum platforms) Spintronics and Nanomagnetism (single-molecule magnets, spin chains) Terahertz Spectroscopy (ultrafast dynamics, plasmon control) Condensed Matter Physics (charge density waves, quantum phase transitions) Analysis of his 2019-2025 publications reveals a trajectory toward atomically-precise quantum systems. Key advancements include stochastic resonance spectroscopy for slow-measurement dynamics characterization, terahertz near-field waveform control in STM, and atomic-scale vector network analyzers. His work consistently bridges quantum theory with experimental nanofabrication, particularly in quantum magnetism and electron dynamics at sub-nanometer scales. As head of the FMQ Institute, Professor Loth directs a multidisciplinary team focused on quantum materials characterization. The institute houses specialized facilities for ultrafast STM, terahertz spectroscopy, and atomic manipulation, enabling breakthroughs in quantum sensing and nanoscale device engineering. No information on academic advising, research grants, or scientific awards was provided in the source material.

Andrew Petruskaمشاهده پروفایل

دانشیار

• Advanced magnetic manipulation
• Complex system modeling and design
• Dynamics and control
• +۳ مورد دیگر

Andrew Petruska is an Associate Professor in Mechanical Engineering at the Colorado School of Mines. His research focuses on control of complex dynamic systems, particularly in magnetic manipulation for medical applications and autonomous systems for mining and underground exploration. He leads the M3 Robotics lab and holds a PhD from the University of Utah with postdoctoral training at ETH Zurich as a Max Planck Fellow. Education: BS Physics and BS/MS Mechanical Engineering from Carnegie Mellon University (pre-PhD). Notable awards include the 2017 Boettcher Investigator Award for neurosurgical magnetic manipulation work. Key technical contributions span magnetic needle steering for surgery, robotic systems for geotechnical monitoring, and gesture-controlled rehabilitation robots. His work bridges robotics, control theory, and biomedical engineering, with applications in both clinical and industrial contexts. Recent research emphasizes: Advanced magnetic manipulation techniques for precise micro-scale control Autonomous underground mining systems with real-time sensor integration Human-in-the-loop robotic rehabilitation solutions Optimization of multi-agent robotic networks for complex environments His lab develops innovative solutions for high-risk environments like mines and operating rooms through interdisciplinary approaches combining mechanical design, embedded systems, and advanced algorithms.

Krishna Pattipatiمشاهده پروفایل

استاد

• Systems Engineering
• Battery Management
• Fault Diagnosis
• +۵ مورد دیگر

Krishna Pattipati is a Board of Trustees Distinguished Professor and UTC Professor of Systems Engineering in the Department of Electrical and Computer Engineering at the University of Connecticut. His research spans systems engineering, battery management, fault diagnostics, and machine learning applications in complex engineering systems. Professor Pattipati's research interests focus on developing advanced methodologies for system health management, including: Battery state estimation and management algorithms for energy storage systems Fault diagnosis and prognosis in power electronics and manufacturing systems Machine learning techniques for predictive maintenance Multi-objective optimization for decision-making under uncertainty Probabilistic inference methods for autonomous systems Analysis of his recent publications (2021-2025) reveals dominant research themes in battery management systems (state estimation, OCV modeling, internal resistance), tool health monitoring in manufacturing (wear classification, condition monitoring), and probabilistic path planning algorithms. His work consistently integrates theoretical frameworks with practical applications in energy, manufacturing, and robotics. Significant scientific recognitions include: Board of Trustees Distinguished Professor honor (University of Connecticut's highest faculty award) Endowed UTC Professorship in Systems Engineering

Wei Xiangمشاهده پروفایل

استاد مدعو

• Internet of Things
• Machine Learning for IoT
• Big Data Analytics
• +۳ مورد دیگر

Wei Xiang is an Adjunct Professor and Founding Chair of Electronic Systems and Internet of Things Engineering at James Cook University. He leads the development of Australia's first accredited IoT Engineering program and conducts research at the intersection of IoT, machine learning, and big data analytics. Research encompasses: IoT systems for environmental monitoring Machine learning applications for sensor data Edge computing architectures Wireless communication protocols Smart agriculture technologies Publication analysis reveals focus areas: Smart transportation systems (25%) Agricultural IoT (20%) Medical AI applications (15%) Industrial IoT (15%) Network optimization (25%) Honors include Pearcey Entrepreneurship Award, Engineers Australia Cairns Engineer of the Year, and TNQ Innovation Award for establishing Australia's first IoT Engineering degree. Current projects include closed-loop irrigation systems for sugarcane farms and marine monitoring using distributed deep learning.

Geoffrey Ghoseمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Cognitive Science
• +۳ مورد دیگر

Geoffrey Ghose, PhD is a Professor in the Department of Neuroscience at the University of Minnesota Medical School. His research focuses on understanding the neural mechanisms underlying perception, attention, and sensory processing in the brain. He employs advanced neuroimaging techniques like fMRI and electrophysiological recordings in combination with computational modeling to investigate how sensory information is processed across cortical hierarchies. Key research themes include the role of alpha oscillations in visual processing, the impact of attention on auditory and visual cortex activity, and the optimization of neuroimaging methodologies. His work bridges basic neuroscience with translational applications in neurotechnology and perceptual learning strategies. He has pioneered techniques for analyzing task-dependent cortical activity profiles and refining fMRI sensitivity without sacrificing spatiotemporal precision. Recent investigations explore the interplay between top-down microcircuitry and perceptual decision-making, as well as the neurophysiological bases of perceptual ambiguity resolution. His studies utilize both human and non-human primate models, with a particular focus on visual and auditory cortical areas such as V4, MT, and auditory cortex regions. Ghose's contributions have advanced understanding of how neural synchrony and microcircuit dynamics shape sensory perception and cognitive functions.

Remi Patriatمشاهده پروفایل

استادیار

• Neuroimaging
• Deep Brain Stimulation (DBS)
• Parkinson's Disease
• +۵ مورد دیگر

Remi Patriat, PhD, is an Assistant Professor in the Department of Radiology at the University of Minnesota. His work focuses on advancing neuroimaging techniques, particularly using 7-Tesla MRI, to improve understanding of brain structures and their clinical applications in movement disorders such as Parkinson’s disease and essential tremor. He specializes in deep brain stimulation (DBS) strategies, neural pathway mapping, and the development of precision medical imaging protocols. Dr. Patriat’s research integrates advanced MRI technologies with clinical neuroscience, emphasizing the anatomical and functional characterization of subcortical nuclei (e.g., thalamus, globus pallidus). His studies explore how DBS modulates neural oscillations and connectivity, particularly in the context of Parkinson’s disease, to optimize therapeutic outcomes. He has contributed to the development of automated segmentation tools for brain structures using machine learning and high-resolution imaging. His work on 7T MRI applications has addressed challenges in clinical imaging protocols, motion correction algorithms, and the visualization of subnuclear brain regions. He investigates how electrode placement and stimulation parameters in DBS correlate with clinical efficacy, leveraging computational modeling and patient-specific anatomical data. While no formal scientific awards are listed, his contributions to neuroimaging and DBS research reflect a focus on translational medicine and technological innovation in neurology. His research team collaborates closely with clinical teams to bridge imaging science with surgical and therapeutic advancements.

Claudio Pacchierottiمشاهده پروفایل

پژوهشگر

• Haptics
• Robotics
• Medical Robotics
• +۵ مورد دیگر

Claudio Pacchierotti is a CNRS Researcher (Chargé de Recherche de Classe Normale) at IRISA and Inria Rennes, France, leading the RAINBOW team. He holds a PhD in Automatic Control and Robotics from the University of Siena and the Italian Institute of Technology (IIT). His research focuses on haptics, wearable technologies, and their applications in robotics, virtual reality, and medical interventions. He has held visiting positions at the University of Pennsylvania (2014) and Sapienza University of Rome (2022). Education: B.S. in Computer Engineering, University of Siena (2009) M.S. in Computer Engineering, University of Siena (2011) Ph.D. in Automatic Control and Robotics, University of Siena/IIT (2015) Research Interests: Pacchierotti specializes in cutaneous haptic feedback systems, teleoperation, medical robotics, and human-robot interaction. His work bridges robotics, wearable technology, and virtual reality to enhance sensory experiences and precision in surgical and industrial applications. Awards: He received the CNRS Bronze Medal (2022) for his contributions to haptics and robotics, a Best Paper Award at Eurohaptics 2022, and the AsiaHaptics Silver Award (2016). His team has also won multiple grants and industry recognitions. Grants & Labs: His projects include EU-funded initiatives on haptic shared control and wearable devices. He leads the RAINBOW lab, collaborating with global institutions like the University of Pennsylvania and Sapienza Rome. Current research explores ultrasound mid-air haptics, graph neural networks for multi-robot systems, and thermal feedback in VR.

Sergio Arispeمشاهده پروفایل

دانشیار

• Rangeland Ecology
• Beef Cattle Nutrition
• Reproduction in Ruminants
• +۷ مورد دیگر

Sergio Arispe serves as an Associate Professor in the Department of Animal and Rangeland Sciences within Oregon State University's College of Agricultural Sciences. He is based at the Malheur County Extension Office in Ontario, Oregon, where he conducts research and extension activities focused on rangeland management and beef cattle production systems in eastern Oregon's sagebrush steppe ecosystem. Dr. Arispe's educational background includes a Ph.D. in Animal Biology from the University of California, Davis (2012), an M.S. in Agricultural Education from Texas A&M University (2003), and a B.S. in Animal Science from Texas A&M University-Kingsville (2001). His research program centers on the interplay between nutrition and reproduction in ruminants, with particular emphasis on grazing programs and their dynamic impacts on natural resources in the sagebrush steppe ecosystem of eastern Oregon. His work integrates advanced technologies including Structure-from-Motion (SfM) and LiDAR from Unmanned Aerial Vehicles for vegetation monitoring and biomass estimation. He has developed innovative approaches to fine fuels management using dormant season grazing to address invasive annual grasses and improve rangeland health. Analysis of his publication record reveals a strong focus on medusahead control, fine fuel management, invasive species ecology, and the application of remote sensing technologies in rangeland assessment. His work spans both fundamental ecological research and practical applications for land managers, with increasing emphasis on landscape-scale approaches to rangeland conservation. Search for Excellence, Oregon State University Extension Association (December 5, 2024) Communication Award: Publication, National Association of County Agricultural Agents (August 2024) International Tribunal Member for Thesis Defense, University of León (February 6, 2024) New Technology in Agricultural Extension Fellowship, eXtension Foundation (August 2020) Award for Excellence in Extension Education, College of Agricultural Sciences (February 26, 2020) Manning Becker Professional Development Award (multiple years) Dr. Arispe actively accepts graduate students for the Animal and Rangeland Sciences Department and has secured funding from multiple sources including Oregon Beef Council, USDA-NIFA, and the US Department of Interior for projects related to fine fuels management, rangeland restoration, and beef cattle production systems. His extension program focuses on equipping land managers and beef cattle producers with science-based information that promotes healthy land management on both private and public lands. He has developed numerous educational resources including the "Oregon's Outback: A Sustainable Rangeland-Based Beef Production Video Library," the "Nutrient Management and Planning Tool," and regular newsletters addressing livestock, fire, and rangeland management issues for Malheur County producers. His collaborative approach involves working with multiple stakeholders including ranchers, federal land managers, and international partners like the University of León in Spain.

• Artificial Intelligence
• Machine Learning
• Explainable AI (XAI)
• +۷ مورد دیگر

Randy Goebel is a Professor of Computing Science at the University of Alberta's Faculty of Science, co-founder and Fellow of the Alberta Machine Intelligence Institute (Amii). He holds a B.Sc. (Computer Science) from the University of Regina (1974), M.Sc. (Computing Science) from the University of Alberta (1977), and Ph.D. (Computer Science) from the University of British Columbia (1985). His research focuses on artificial intelligence representation and reasoning, especially in explainable AI (XAI), autonomous driving, legal informatics, and precision health. He has held visiting roles at institutions worldwide, including the University of Tokyo and NICTA, and contributed to collaborative projects across Canada, Japan, Germany, France, the UK, and China. Education background includes: B.Sc., Computer Science, University of Regina, 1974 M.Sc., Computing Science, University of Alberta, 1977 Ph.D., Computer Science, University of British Columbia, 1985 Key research interests span theoretical AI (abduction, belief revision) and applied domains like XAI for autonomous systems, legal reasoning, and medical applications. Recent work emphasizes safety-critical AI systems, algorithm auditing, and cross-disciplinary collaborations in smart agriculture and healthcare. He previously chaired the Department of Computing Science, Alberta Machine Intelligence Institute, and the Alberta Innovates Academy Research committee. His contributions to legal AI include organizing the COLIEE competition series evaluating legal information extraction and entailment systems. He has pioneered frameworks for trustworthy AI, including explanations in human-machine interfaces and ethical risk management. Randy's work bridges technical innovation with societal impact, addressing challenges in healthcare, transportation, and governance through AI-driven solutions.

Paolo Roccoمشاهده پروفایل

استاد

• industrial robotics
• physical human-robot interaction
• redundant manipulators
• +۵ مورد دیگر

Paolo Rocco is a Full Professor in Systems and Control at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano, Italy. He has been with the institution since 1996 and currently serves as Head of the Systems and Control research area at DEIB. Additionally, he sits on the Board of Governors of Politecnico di Milano for the triennium 2022-24 and teaches Automatic Control, Fundamentals of Robotics, and Industrial Automation courses across multiple engineering programs. Education: Born in Busto Arsizio (Italy) in 1966 'Laurea' degree cum laude in Electronics Engineering (1991, Politecnico di Milano) Doctorate degree in Computer Science and Automation (1995, Politecnico di Milano) Visiting scholar at Georgia Tech, USA (1995) Research Focus: Dr. Rocco's work centers on industrial robotics, physical human-robot interaction, redundant manipulators, computer vision in robotics, and control systems. His research bridges theoretical control frameworks with practical industrial applications, particularly in manufacturing automation. His extensive publication record (approximately 200 papers) demonstrates consistent contributions to robotics and control theory. Publication Trends: Analysis of his recent publications (2022-2025) reveals a strategic shift toward collaborative robotics applications in real-world industrial settings. Key themes include robotic deburring, cable manipulation, human-robot collaborative assembly, and integration of AI with traditional control systems. His work increasingly addresses challenges in unstructured environments while maintaining strong connections to industrial implementation. Professional Recognition: Senior Member of IEEE Former Associate Editor for IEEE Transactions on Robotics (2004-2008) Founding Senior Editor for IEEE Robotics and Automation Letters Current Senior Editor of IEEE Transactions on Automation Science and Engineering Associate Editor for IFAC journal Mechatronics and International Journal of Robotics Research Leadership and Service: Dr. Rocco has served as Chair of BSc and MSc Programs in Automation and Control Engineering (2013-2018), sits on the Board of Governors of Politecnico di Milano (2022-24), and leads the Systems and Control research area at DEIB. He serves on the Board of Directors of euRobotics and I-RIM, and is scientific responsible for technology transfer projects at MADE, the Industry 4.0 Competence Center. His co-founding of Smart Robots, a Politecnico di Milano spin-off, demonstrates his commitment to translating research into commercial applications.

Jason N. MacTaggartمشاهده پروفایل

استاد

• Vascular Surgery
• Artery Biomechanics
• Aortic Disease
• +۴ مورد دیگر

Jason N. MacTaggart, MD, FACS, is a Professor in the Department of Surgery at the University of Nebraska Medical Center (UNMC) within the College of Medicine, specializing in Vascular Surgery. His academic appointment combines clinical practice with advanced research in arterial disease and surgical innovation. He completed his MD at the University of Iowa College of Medicine, followed by a General Surgery residency at UNMC and a Vascular Surgery fellowship at UCSF. Board-certified in Vascular Surgery, his work focuses on arterial biomechanics, aortic disease, and peripheral artery disease. His laboratory develops novel devices and techniques for vascular repair, studying blood flow mechanics and arterial architecture. Research funding sources include NIH, Department of Defense, industry partnerships, and philanthropy. He aims to advance personalized treatments for life-threatening cardiovascular conditions through precision medicine approaches. Education: MD: University of Iowa College of Medicine Residency: General Surgery, University of Nebraska Medical Center Fellowship: Vascular Surgery, University of California San Francisco Research Interests: Dr. MacTaggart’s work spans artery biomechanics, aortic trauma, and innovative endovascular techniques. His lab investigates arterial material properties (e.g., aorta and peripheral arteries) and their interactions with stents, bypass grafts, and stent grafts. Key areas include: Development of advanced surgical devices Modeling blood flow dynamics Prediction of device-artery interactions Awards/Grants: Supported by NIH, Department of Defense, and private industry grants. No specific awards listed in available texts. Labs/Teams: Leads the Advanced Surgical and Engineering Applications group within UNMC’s Department of Surgery, focusing on translational vascular research.

Milan E. Delorمشاهده پروفایل

استادیار

• Experimental Physical Chemistry
• Quantum Materials
• Ultrafast Spectroscopy
• +۴ مورد دیگر

Milan E. Delor is an Assistant Professor in the Department of Chemistry at Columbia University, leading the Delor Lab. His research focuses on directing energy flow in quantum, meta-, and nanomaterials using light-based techniques. He holds a PhD from the University of Sheffield (2014) and completed postdoctoral work at UC Berkeley (2016–2019). Key roles include Principal Investigator at Columbia since 2019 and NSF CAREER Award recipient in 2025. His work spans ultrafast spectroscopy, super-resolution microscopy, and collaborations with both experimental and theoretical groups globally. Education: PhD in Physical Chemistry, University of Sheffield (2010–2014) Postdoctoral Researcher, Naomi Ginsberg Group, UC Berkeley (2016–2019) Doctoral Prize Fellow, University of Sheffield (2015) Research Interests: Delor's lab develops tools to non-invasively image energy transport in materials at femtosecond-to-hour timescales and nanometer-scale precision. Key themes include: Controlling electron and energy flow in 2D materials Imaging nonlinear optics and polariton dynamics Exploiting quantum phenomena for device applications His group collaborates widely, leveraging expertise in nonlinear optics, ultrafast microscopy, and materials design. Awards & Recognition: Camille Dreyfus Teacher-Scholar Award (2025) Sloan Research Fellowship (2025) NSF CAREER Award (2025) Advising & Labs: Supervises a multidisciplinary team of ~15 graduate students, postdocs, and undergraduates. The lab combines experimental and theoretical approaches, with facilities for femtosecond laser systems, cryogenic setups, and state-of-the-art microscopy. Notable collaborations include the Columbia Quantum Initiative and the Schuck and Basov groups.

Brandon H. Bodilyمشاهده پروفایل

استادیار

• Aerospace Engineering
• Manufacturing Methods
• Project Management
• +۱ مورد دیگر

Brandon H. Bodily is an Assistant Professor at the Integrated Innovation Institute in Pittsburgh, PA. With over 20 years of aerospace industry experience, he specializes in aerospace engineering, manufacturing methods, and project management, leveraging his background in research, design, and customer-facing roles to develop innovative solutions that meet technical and business needs. Education: Master of Science in Aerospace Engineering, Purdue University Bachelor of Science in Mechanical Engineering, Utah State University Industry Experience: Prior to his academic career, Brandon worked at Aerotech, a leader in precision motion controls, where he focused on custom large-scale motion control systems. He has been granted three patents in additive manufacturing and the Ampliforge® process. Teaching & Contributions: He teaches courses such as "Designing for the Internet of Things," "People First: A Critical Look at Collaboration," and "Integrated Product Development Capstone," emphasizing innovation, product conceptualization, and manufacturing futures. Scientific Awards: 2007 R&D 100 Award for Aluminum-Lithium Alloy 2099 Three granted patents related to additive manufacturing technologies and the Ampliforge® process Outside academia, Brandon is a father, runner, and mountain climber.

Jiri Janousekمشاهده پروفایل

پژوهشگر ارشد

• Quantum Optics
• Quantum Information
• Optomechanics
• +۵ مورد دیگر

Dr. Jiri Janousek is a postdoctoral research fellow at the Australian National University (ANU) within the ANU College of Systems & Society , specifically contributing to the Quantum Imaging Group . He focuses on advancing quantum states of light in the spatial domain, particularly in generating squeezed and entangled states, optical detection techniques, and optomechanical systems. His work emphasizes novel methods for simultaneous spatial-mode squeezing and control of optical cavities. He earned his PhD in 2008 from the Technical University of Denmark , where he researched nonclassical quantum states for ultra-sensitive measurements and solid-state lasers in the visible spectrum. His expertise spans optical parametric amplifiers, laser systems, and quantum imaging applications in biological contexts. Research interests include quantum optics, optomechanics, and nonlinear optical systems, with emphasis on spatial-mode engineering and precision measurements. His contributions bridge theoretical and experimental quantum technologies, aiming to push the boundaries of quantum sensing and information processing. Notable research areas include Generation of squeezed light in diverse cavity geometries Optomechanical control of thermal states Entanglement distillation protocols Quantum imaging within living cells