جست‌وجوی استاد و پژوهشگر

Martin T. Wellsمشاهده پروفایل

استاد

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +۷ مورد دیگر

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

• Data Science
• Numerical Optimisation
• Medical Imaging
• +۳ مورد دیگر

Raphael Hauser is an Associate Professor in Numerical Mathematics at the University of Oxford's Mathematical Institute, Director of Graduate Studies - Teaching, and Tanaka Fellow in Applied Mathematics at Pembroke College. His affiliations include membership in the Data Science, Numerical Analysis, and Mathematical and Computational Finance research groups, as well as a fellowship at the Alan Turing Institute. Education: PhD in Operations Research, Cornell University, Ithaca, USA Dipl. Math. ETH, Swiss Federal Institute of Technology (ETH Zurich), Switzerland Research interests span data science, numerical optimisation, medical imaging, distributed computing, and applied probability/statistics. His work integrates mathematical rigor with practical applications, particularly in optimization algorithms, machine learning theory, and medical imaging technology. Publications focus on optimization theory, stochastic processes, medical imaging systems, and computational finance, with recurring themes in non-convex optimization guarantees, PCA variants, and X-ray tomography innovations. Awards: Oxford University Teaching Award (2007) SIAM Optimization Prize (2005) SIAM Student Paper Prize (2000) Advising includes 15+ DPhil students and 40+ MSc students, with projects in optimization, finance, imaging, and machine learning. Current postdocs and students are affiliated with the Alan Turing Institute and industrial partners like Siemens and Macquarie Group. He leads teams in the Mathematical Institute's research groups and collaborates with the Alan Turing Institute on large-scale data science initiatives.

Robert Pilawa-Podgurskiمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Applications
• Electric Vehicles
• +۴ مورد دیگر

Robert Pilawa-Podgurski is a Professor in the Electrical Engineering and Computer Sciences Department at UC Berkeley and founding director of the Berkeley Power and Energy Center (BPEC). He earned BS, MEng, and PhD degrees from MIT. His research focuses on power electronics, including renewable energy systems, electric vehicles, and high-efficiency power converters. He has received prestigious awards such as the IEEE Fellow (2024), Bakar Fellows Spark Award (2024), and the IEEE Richard M. Bass Outstanding Young Power Electronics Engineer Award (2014). His work emphasizes experimental validation through hardware prototypes. Education: BS in Physics and EECS (MIT, 2005), MEng (MIT, 2007), PhD in EECS (MIT, 2012). Research interests include power electronics for renewable energy, electric vehicles, energy harvesting, and advanced converter topologies. His lab has developed high-power density converters and innovative control techniques for flying capacitor multilevel converters. Recent publications focus on hybrid switched-capacitor architectures, voltage balancing, and ultra-high-current applications. Awards include over 17 IEEE prize papers and teaching accolades like the 2023 UC Berkeley EECS Outstanding Teaching Award. His group has advised numerous students, including postdocs and PhD candidates working on cutting-edge power electronics projects. Labs/Teams: Pilawa Research Group at UC Berkeley, collaborating on power electronics for clean energy and high-performance computing.

Qingguo Liمشاهده پروفایل

استاد

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

Massimo Mischiمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Diagnostic Imaging
• Ultrasound Technology
• +۴ مورد دیگر

Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.

Raghavendra Rauمشاهده پروفایل

استاد

• Corporate Finance
• Behavioral Finance
• Information Economics
• +۶ مورد دیگر

Professor Raghavendra Rau is the Sir Evelyn de Rothschild Professor of Finance at Cambridge Judge Business School, University of Cambridge. He is the Founder and Academic Director of the Cambridge Centre for Alternative Finance (CCAF) and serves on editorial boards of journals like the Journal of Corporate Finance and Journal of Banking and Finance. He will be President of the Financial Management Association in 2025 and has held visiting roles at Gresham College, Universiti Malaya, and University of Jordan. Education: MBA (IIM Bangalore), MSc, PhD (INSEAD) Previous Roles: Principal at Barclays Global Investors, Ambank Chair, Gresham Professorship His research focuses on how investors and firms process information, with key areas including corporate governance, behavioral finance, fintech, digital finance, CEO decision-making, and ESG. He explores links between prenatal environmental exposure and executive risk-taking, gender diversity in finance, and regulatory impacts on crowdfunding and digital lending. Recent publications analyze serial acquirers' behavior, CSR impacts on firm value, superstitious fund managers, and digital financing regulations. His work bridges behavioral biases, environmental factors, and financial innovation. Awards include the 2015 Ig Nobel Prize in Management.

Samuel Chengمشاهده پروفایل

دانشیار

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +۴ مورد دیگر

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.

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

Professor Bing Chu is an academic at the University of Southampton, actively contributing to research in control systems, robotics, and machine learning. They are a member of the Vision, Learning and Control Centre for Internet of Things and Pervasive Systems and the Centre for Robotics, focusing on interdisciplinary approaches that combine control theory with data-driven methodologies. Current research interests include: Iterative learning control Human-robot interaction Wind farm power optimization Robot behavior modeling Control system architectures Collaborative learning systems Recent publications highlight trends in data-driven control systems, human-robot interaction datasets, and optimization techniques for both continuous-time systems and wind energy applications. Professor Chu supervises multiple PhD students across robotics and electronic engineering, including Balint Gucsi, Haonan Shen, and Aleksander Wolski, while leading projects funded by Zhengzhou University and the Royal Society.

Zeljko Panticمشاهده پروفایل

دانشیار

• Electrified Transportation
• Power Converters Design and Control
• Wireless Power Transfer Systems
• +۵ مورد دیگر

Zeljko Pantic is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He holds a Ph.D. from NC State (2013) and B.S./M.S. degrees from the University of Belgrade (1998/2007). Before joining NC State in 2019, he served as an Assistant Professor and Associate Director of the Electric Vehicle and Roadway Research Facility at Utah State University. He is actively involved in editorial roles for IEEE Transactions on Transportation Electrification and serves on the IEEE IAS Transportation Systems Committee. Education: Ph.D., Electrical Engineering, North Carolina State University (2013) M.S., Electrical Engineering, University of Belgrade (2007) B.S., Electrical Engineering, University of Belgrade (1998) Research: Dr. Pantic specializes in electrified transportation systems, wireless power transfer (WPT), power converter design, and DC microgrid technologies. His work addresses challenges in EV charging infrastructure, magnetic circuit optimization, and energy conversion principles for transportation electrification. Recent projects include autonomous wireless charging systems for UAVs, marine DC microgrids, and road-embedded DWPT solutions. Awards & Recognition: 2019 IEEE JESTPE Second Prize Paper Award 2017 Outstanding Teacher of the Year (USU) 2012 NC State Mentored Teaching Assistantship Award Advisees & Grants: While specific student names are not listed, Dr. Pantic has advised graduate students on projects spanning WPT systems, EV infrastructure, and battery management. His work has been supported by grants focusing on dynamic charging, magnetic materials, and autonomous observatory nodes. Labs & Facilities: He leads research at NC State's Electric Vehicle and Roadway facility, focusing on roadway-integrated wireless charging and high-power WPT systems. Collaborations include ocean observatory development and autonomous system integration.

Don B. Russellمشاهده پروفایل

استاد

• Electric Power Engineering
• Power System Protection
• Control and Automation
• +۵ مورد دیگر

Don B. Russell is a distinguished Professor of Electrical & Computer Engineering at Texas A&M University, holding the Harry E. Bovay, Jr. Chair and Regents Professor title. He is a member of the National Academy of Engineering and a Fellow of multiple professional organizations. His research focuses on power system automation, protection, and real-time diagnostics, with a strong emphasis on waveform analytics for fault detection and wildfire mitigation. Russell leads the internationally recognized Power System Automation Laboratory, supported by sponsors like the National Science Foundation and Texas A&M's Energy Resources Program. Educational Background: Ph.D., Electrical Engineering, University of Oklahoma (1975) M.E., Electrical Engineering, Texas A&M University (1971) B.S., Electrical Engineering, Texas A&M University (1970) Research Interests: Power system protection and control Incipient failure detection via waveform analysis Forensic engineering and wildfire prevention Engineering ethics and professionalism Smart grid technologies and automation Awards and Honors: IEEE Millennium Medal (2000) R&D 100 Award (Digital Feeder Monitor) Outstanding Engineering Achievement Award (NSPE) 6 Distinguished Achievement Award (Texas A&M) Grants and Sponsors: The lab collaborates with TXU Energy, NSF, ONR, and industry partners to advance power system reliability and safety. His work has led to commercialized technologies like high-impedance fault detection relays. Labs and Teams: The Power System Automation Lab specializes in real-time data capture and fault analysis, with global recognition for reducing wildfire risks and improving distribution network resilience.

Karen Bandeen-Rocheمشاهده پروفایل

استاد

• Biostatistics
• Gerontology
• Aging
• +۱۴ مورد دیگر

Karen Bandeen-Roche is a Professor and the Hurley-Dorrier Professor and Chair of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, with joint affiliations in the School of Medicine and the School of Nursing. She is a leading expert in biostatistical methodology, particularly in latent variable models, longitudinal analysis, and multivariate survival methods applied to aging and gerontology. Her research focuses on developing statistical models for unobservable processes such as frailty, resilience, and functional status in older adults. She has made significant contributions to the measurement of aging-related constructs and has extensive collaborative work in ophthalmology and neurology. Her methodological work includes mixture models, measurement error correction, and latent class modeling. The recent publications highlight a strong trend in gerontological biostatistics, with a focus on frailty, dementia risk, resilience, and multisystem physiological responses in aging. Her work integrates complex data from observational cohorts and clinical studies, often employing innovative latent variable frameworks to address measurement challenges in health outcomes. Scientific Awards and Honors: Marvin Zelen Leadership Award in Statistical Science (2016) Fellow of the American Statistical Association (2001) Brookdale National Fellow (1997) Golden Apple Award for Excellence in Teaching (2010) Garland Clay Award (1999) Chair, NIH BMRD Study Section (2006–2008) President, Eastern North American Region, International Biometric Society (2011–2013) Executive Board, International Biometric Society (2015–2022) Board of Directors, National Institute of Statistical Sciences (2020–2023) Karen Bandeen-Roche has been deeply involved in advising and training the next generation of researchers. She co-directs a training program in Biostatistics and Epidemiology of Aging and has received multiple teaching and mentoring awards. She has served on numerous academic committees, including appointments and promotions, faculty senate, and ethics committees at Johns Hopkins. Her grants and collaborative research span aging, dementia, ophthalmology, and cardiovascular health, often supported by NIH and other federal agencies. She leads the Center on Aging and Health and is actively involved in interdisciplinary research initiatives that bridge biostatistics, medicine, and public health. Her lab and research team focus on developing and applying advanced statistical methods to understand the biological and social determinants of healthy aging.

Karen E. Smithمشاهده پروفایل

استاد

• EU Foreign Policy
• Genocide Prevention
• UN Diplomacy
• +۲ مورد دیگر

Karen E. Smith is Professor of International Relations at the London School of Economics and Political Science (LSE), specializing in EU foreign policy, genocide prevention, and UN multilateralism. She currently leads the Women in Diplomacy project at LSE IDEAS and served as Head of the IR Department (2019-2022). Recent research examines feminist foreign policy analysis, emotional dimensions of EU decision-making, and group politics in UN diplomacy. Her award-winning book Group Politics in UN Multilateralism (2020) won the ACUNS best book prize. She has supervised 21 PhD students to completion, with alumni in academia, international organizations, and government. Current teaching includes the graduate course 'The EU in the World'. Education: PhD (LSE), MA (Johns Hopkins SAIS). Key Awards: ACUNS Book Award (2020), Anna Lindh Award (2007), Royal Society of Arts Fellowship (2016) Grants: EU-funded network on EU-UN relations (2016-2019)

Khurram K. Afridiمشاهده پروفایل

استاد

• Wireless Power Transfer
• Power Electronics
• Electric Vehicle Charging Systems
• +۵ مورد دیگر

Khurram K. Afridi is a Professor in the Electrical and Computer Engineering Department at Cornell University's College of Engineering. With a BS from Caltech and SM/PhD from MIT, he leads the High-Frequency Power Electronics and Control (HFPEC) research group. His work focuses on high-frequency power electronics, wireless power transfer systems, and electric vehicle charging infrastructure. Dr. Afridi's research spans capacitive wireless power transfer systems for electric vehicles, high-frequency power converters , impedance control networks , and power density optimization . His team has developed innovative approaches for multi-MHz wireless power transfer, reduced-fringing-field systems, and high-efficiency power conversion architectures. Recent work emphasizes practical implementation challenges including thermal management, pavement-embedded systems, and dynamic charging applications. His publications reveal a strong focus on high-power-density systems , wireless charging technologies , and advanced power conversion techniques . The research spans both theoretical modeling and practical implementation, with numerous papers in top conferences like APEC, ECCE, and IEEE journals. Key themes include improving power transfer efficiency at multi-MHz frequencies, developing novel matching network designs, and creating practical systems for electric vehicle charging infrastructure. First Place Prize Paper Award, IEEE Journal of Emerging and Selected Topics in Power Electronics, 2023 First Place Best Contribution Award, IEEE WPTCE, 2023 Second Place Prize Paper Award, IEEE Transactions on Power Electronics, 2022 Distinguished Lecturer, IEEE Vehicular Technology Society, 2022 Cornell Engineering Research Excellence Award, 2021 NSF CAREER Award, 2016 Dr. Afridi has successfully advised numerous graduate students who have received multiple Outstanding Presentation Awards at major conferences. His research has been supported by significant funding including the NSF CAREER Award. The HFPEC group maintains strong industry connections and focuses on translating theoretical advances into practical power electronics solutions with real-world impact. Current research directions include electrified roadways, dynamic wireless charging systems, and high-power-density power conversion architectures for next-generation applications.

Qiang Liمشاهده پروفایل

استاد

• Power Electronics
• High-Frequency Power Conversion
• Magnetics Integration
• +۵ مورد دیگر

Dr. Qiang Li serves as a Professor in the Department of Electrical and Computer Engineering within the College of Engineering at Virginia Tech. His research activities are closely associated with the Center for Power Electronics Systems (CPES), where he contributes to advancing power electronics technologies for various applications. Dr. Li earned his B.S. and M.S. degrees from Zhejiang University, China, in 2003 and 2006 respectively, followed by a Ph.D. from Virginia Tech in 2011. His academic journey reflects a strong foundation in electrical engineering with specialization in power electronics. His research focuses on high-frequency power conversion and controls, high-density electronics packaging and magnetics integration, and power solutions for high performance computing, datacenters, electric vehicles and energy storage systems. Dr. Li's work emphasizes improving power density, efficiency, and reliability of power electronic systems through innovative circuit topologies and magnetic component design. Analysis of Dr. Li's recent publications reveals a strong emphasis on high-density power conversion for next-generation computing systems, particularly vertical power delivery architectures. His research spans resonant converter topologies, advanced magnetics integration techniques, EMI reduction methods, and GaN-based power systems, demonstrating consistent innovation in power electronics design principles. Dr. Li has received significant recognition for his contributions to the field: National Science Foundation (NSF) Career Award recipient Author of over 230 peer-reviewed technical publications, including more than 70 journal articles Recipient of six prize paper awards Associate editor for IEEE Transactions on Power Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics As an active researcher and educator, Dr. Li contributes to the advancement of power electronics through his research publications, editorial work, and participation in the academic community. His work with CPES demonstrates strong industry collaboration and technology transfer focus, particularly in high-density power conversion for data centers and electric vehicles.

Ignacio Galiano Zurbriggenمشاهده پروفایل

استادیار

• Power Converter Modelling & Control
• Energy Systems Integration
• Renewable Energy Systems
• +۶ مورد دیگر

Ignacio Galiano Zurbriggen is an Assistant Professor in the School of Sustainable Energy Engineering at Simon Fraser University (SFU), holding a P.Eng. license. His expertise spans power electronics, energy systems integration, and sustainable energy engineering. He completed his Ph.D. in Electrical & Computer Engineering at UBC (2020), followed by M.Sc. degrees from UBC (2013) and SFU (2012), and a B.Sc. in Electrical Engineering from the National University of Córdoba (2010). His research focuses on power converter modeling/control, energy systems optimization, and multi-domain systems. Notable projects include ultra-fast MPPT algorithms for PV systems, LVRT improvements for wind turbines, and GaN-based PFC design. He teaches advanced courses like SEE 895 Special Topics III and serves as an Associate Editor for the IEEE Open Journal of Power Electronics. Recent work emphasizes grid-connected converter dynamics, microgrid optimization, and adaptive control strategies for renewable energy systems. His publications span IEEE Transactions on Power Electronics, Smart Grid, and leading conferences like APEC and ECCE.