جست‌وجوی استاد و پژوهشگر

Michel KIEFFERمشاهده پروفایل

استاد

• Signal Processing
• Communication Systems
• Networking
• +۵ مورد دیگر

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.

Romain Jacobمشاهده پروفایل

مدرس

• Computer Networks
• Real-Time Systems
• Wireless Communication
• +۵ مورد دیگر

Romain Jacob is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, where he also holds a postdoctoral researcher position in Prof. Laurent Vanbever's group. His research focuses on computer networks, real-time systems, and sustainable networking, with an emphasis on reproducible experimental design and open science advocacy. He completed his PhD under Prof. Lothar Thiele at ETH Zürich in 2019, followed by a visiting scholar position at UC Berkeley in 2014. His academic background includes a Master of Science in Engineering of Complex Systems from École Normale Supérieure de Cachan (now ENS Paris-Saclay). Key research interests include: Time-triggered wireless architectures for cyber-physical systems Energy-efficient networking and sustainability Reproducibility frameworks like TriScale Real-time communication protocols Notable contributions include the Best Paper Award at HotCarbon'24 for work on router energy optimization. He actively promotes open science through initiatives like the ORCID Researcher Advisory Council and serves as Editor-in-Chief for JSys. His teaching includes a master's lecture on Sustainable Networking, emphasizing practical applications and open educational resources. He collaborates with the Swiss Reproducibility Network (SwissRN) to advance rigorous research practices.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Wei Jia is a Professor at the School of Computer and Information, Hefei University of Technology, China. Their research focuses on artificial intelligence, machine learning, computer vision, and robotics, with contributions to knowledge graphs, biometric systems, and autonomous systems. They have co-authored over 130+ publications in top-tier journals and conferences, including venues like IEEE Transactions, CVPR, and AAAI. Research interests span deep learning techniques, graph neural networks, and optimization for large-scale systems. Notable work includes entity extraction frameworks, safety analysis in engineering systems, and swarm control algorithms for unmanned vehicles. Contributions also extend to data management systems, such as the TierBase key-value store and the OVERLORD data loader for foundation models. Publications highlight interdisciplinary applications in cybersecurity, robotics, and biomedical imaging. Their work often bridges theoretical advancements with practical implementations, addressing challenges in both software and hardware systems. No specific awards or grants are listed in the provided text.

• Machine Learning
• Fault Diagnosis
• Signal Processing
• +۶ مورد دیگر

Ke Zhao is a prolific researcher with extensive contributions in interdisciplinary domains spanning computer science, mechanical engineering, biomedical engineering, and neuroscience. His work focuses on advanced machine learning techniques applied to fault diagnosis, medical imaging analysis, and real-world systems optimization. Key areas of expertise include federated learning, domain adaptation, and deep learning for industrial and healthcare applications. Primary research themes: Fault diagnosis in rotating machinery, computer vision for satellite imagery, and neural network applications in healthcare. Collaborations with institutions globally on projects involving edge computing, battery management systems, and genetic status prediction in gliomas. Recent advancements include breakthroughs in federated domain adaptation frameworks for gearbox fault detection and immersive VR systems for cultural empathy. His work bridges theoretical machine learning with practical engineering solutions.

Peir Pufahlمشاهده پروفایل

استاد

• Economic geology
• Geochemistry
• Sedimentology
• +۷ مورد دیگر

Peir Pufahl is a Professor in the Department of Geological Science and Geological Engineering at Queen's University, Faculty of Arts and Science. His research spans Earth and environmental sciences with a focus on sedimentology, geochemistry, and economic geology of bioelemental sediments. He serves as Editor-In-Chief of Sedimentology and co-directs the Queen's Facility for Isotope Research. Education: PhD (2002) in Sedimentology, University of British Columbia M.Sc (1996) in Geology, Lakehead University B.Sc (1994) in Geology, Lakehead University His work investigates bioelemental sediments (phosphorite, iron formation, chert) that record Earth system evolution through climate-ocean interactions. These rocks provide insights into nutrient cycling, environmental change, and economic resource formation. Recent publications (2025-2024) address Ordovician climate transitions, uranium deposit genesis, iron cycling in ancient oceans, and sedimentological responses to storm hydrodynamics. His research combines field studies with geochemical proxy analysis. Research facilities: Miller Hall, Queen's University (Kingston, Canada). Professional connections include LinkedIn, ResearchGate, ORCID (0000-0002-9831-7828), and Academia.edu.

Jeremy Stewartمشاهده پروفایل

دانشیار

• Suicidal Behavior
• Self-Injurious Behavior
• Adolescent Development
• +۳ مورد دیگر

Jeremy Stewart is an Associate Professor in the Department of Psychology at Queen’s University. His research focuses on understanding vulnerability to suicidal and self-injurious behavior in youth, examining factors such as executive functioning, impulsivity, peer rejection, and reward responsiveness. He holds a B.A. (Honors) from Queen’s University (2006), an M.Sc. (2009), and a Ph.D. (2014) in Psychology from the same institution. His research explores how individual differences and environmental stressors contribute to suicide risk escalation. Key areas include cognitive control deficits in suicide ideators, the role of peer victimization, and neurophysiological markers of risk. Recent work has investigated oculomotor avoidance behaviors and healthcare experiences in transgender populations. Dr. Stewart collaborates with institutions like Columbia University and Harvard Medical School, and his lab focuses on translational research to improve clinical interventions for at-risk youth. He advises graduate students in experimental psychology and clinical research methodologies. His work has been supported by grants focusing on adolescent mental health, and he maintains an active lab site for research collaboration. He emphasizes ethical considerations in suicide risk monitoring and has developed assessment tools like the Adolescent STRAIN inventory.

Matthew Larsonمشاهده پروفایل

دانشیار

• Criminal Justice Policy Evaluation
• Youth Justice
• Violence Prevention
• +۳ مورد دیگر

Matthew Larson is an Associate Professor and Director of Implementation at the Center for Behavioral Health and Justice (CBHJ) within Wayne State University's School of Social Work. He holds a Ph.D. from Arizona State University (2013) and specializes in criminal justice policy evaluation, youth justice, and violence prevention. His research has been funded by entities like the National Institute of Justice and National Science Foundation, focusing on topics such as recidivism, mental health integration in criminal justice systems, and community-based interventions. Dr. Larson leads the CBHJ's implementation science initiatives, ensuring projects align with evidence-based frameworks. He co-founded JUST POETRY, an annual event fostering dialogue on justice through poetry, and spearheaded the Inside-Out Prison Exchange Program at Detroit Reentry Center. His teaching includes courses like 'Violence Prevention and Intervention' and 'Lifespan Development in the Social Context.' Education: Ph.D., Arizona State University, 2013 Awards: CLAS Excellence in Teaching Award, Early Career Excellence Award (ASU), and multiple diversity-focused recognitions Grants: NIJ, NSF, Public Welfare Foundation, Michigan Justice Fund His work bridges academia and practice, emphasizing data-driven solutions for communities impacted by mental illness, substance use disorders, and systemic inequities within the criminal/legal system. He collaborates with law enforcement, policymakers, and grassroots organizations to advance behavioral health and justice reform.

Michael Beckerمشاهده پروفایل

استاد پژوهشی

• Caribbean History
• African Diaspora Studies
• Slavery Studies
• +۵ مورد دیگر

Michael Becker is an Assistant Research Professor in the Department of History at the University of Maryland, College Park, where he also serves as project manager and associate editor for the Slavery, Law, and Power Project. He holds a Ph.D. in Caribbean History from Duke University. Research Focus: Becker's scholarship examines 18th-19th century British and French Caribbean societies, with emphasis on enslaved people's political agency, cultural formations, and resistance strategies. His current book project, Practices of Freedom: Everyday Struggles for Autonomy, Community, and Power in Jamaica, 1780-1840 , analyzes how marginalized communities negotiated autonomy within oppressive systems. Additional research domains include African diaspora studies and digital humanities applications in historical research. Publications Overview: Recent interdisciplinary publications focus on terrorism dynamics, political violence, and counterterrorism strategies, employing empirical methods to analyze extremist behavior, policy impacts, and global security patterns across diverse geopolitical contexts. Awards and Grants: Fellowship from the American Historical Association Fulbright Program grant Research fellowship at John Carter Brown Library Princeton University Libraries research fellowship Projects: Leads the Slavery, Law, and Power Project ( slaverylawpower.org ), a digital initiative preserving and analyzing historical legal documents related to slavery and power structures in the Atlantic world.

• Vibration Control
• Vehicle Dynamics and Control Systems
• Robust Control Theory
• +۳ مورد دیگر

Haiping Du is a Professor at the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong (Australia) since 2016. His research focuses on vibration control, vehicle dynamics, robust control theory, electric vehicles, robotics, and smart materials. He holds a PhD in Mechanical Design and Theory from Shanghai Jiao Tong University (2002) and has held postdoctoral positions at Imperial College London and the University of Hong Kong. He serves as Subject Editor for the Journal of the Franklin Institute and Associate Editor for IEEE Transactions on Industrial Electronics, among others. Education: PhD in Mechanical Design and Theory, Shanghai Jiao Tong University (2002) Research Fellow, University of Technology Sydney (2005–2009) Research Interests: His work integrates advanced control strategies with engineering applications, particularly in transportation systems and robotics. Key areas include magnetorheological systems, semi-active suspension control, and autonomous vehicle technologies. Awards: 2019 Andrew P. Sage Best Transactions Paper Award (IEEE) 2014 Shanghai Excellent PhD Thesis Award 2015 Vice Chancellor’s Interdisciplinary Research Excellence Award Australian Endeavour Fellowship (2012) Grants & Leadership: He leads major ARC-funded projects, including grants DP200100149 (electromagnetic suspension systems), LP160100132 (commercial vehicle seating solutions), and DP140100303 (X-by-Wire control systems). His research bridges academic innovation and industrial applications in automotive and robotics sectors. Labs & Teams: Active in collaborative research networks, his teams specialize in smart materials, vehicle dynamics, and advanced control systems. He supervises PhD candidates exploring topics like autonomous driving, robotics, and energy-efficient systems.

• Economic Geology
• Igneous Petrology
• Ore Deposit Geology
• +۲ مورد دیگر

Rune Berg-Edland Larsen is a Professor in the Department of Geoscience at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His research focuses on magmatic systems, ore deposit geology, and structural controls on mineralization, with particular expertise in the geology of northern Norway. Key research areas include: Architecture of magmatic conduit systems Lower crustal processes and seismicity Ultramafic petrogenesis and geochemical characterization Structural controls on ore formation Mine tailings revalorization His publications demonstrate a strong focus on integrating geophysical, geochemical, and structural analysis to understand deep crustal processes and ore-forming systems. Recent work examines how volatile-rich melts trigger seismic events in lower crustal environments and characterizes abandoned mine tailings for resource recovery potential. Fieldwork in Norway's key geological provinces, including Bjørnøya and the Feragen ultramafic complex, supports laboratory analyses of rock samples and geophysical data interpretation.

Stefania Santiniمشاهده پروفایل

استاد

• Nonlinear Control
• Cyber-Physical Systems
• Time-Delayed Systems
• +۷ مورد دیگر

Stefania Santini is a Professor of Systems and Control Engineering at the University of Naples Federico II, leading the Distributed Automation Systems (DAiSY) Lab. Her research focuses on nonlinear control, cyber-physical systems, time-delayed systems, and their applications in automotive engineering, transportation, smart manufacturing, and energy. She has held roles in the Academic Senate (2013–2021) and serves as Senior Editor for IEEE Transactions on Intelligent Transportation Systems and Associate Editor for IEEE Transactions on Control Systems Technology. She actively collaborates with industry on national/international projects, emphasizing resilience and innovation in distributed control systems. Her research investigates distributed automation challenges in multi-agent systems, networked control, and cyber-physical security. Notable areas include fault-tolerant control for autonomous vehicles, resilient microgrid management under cyber-physical threats, and digital twin-based predictive maintenance. Recent work explores AI-driven solutions in smart manufacturing and energy systems, combining domain-specific expertise with advanced control methodologies. Publications span control theory advancements (e.g., time-delay systems stability, event-triggered control) and applied domains (autonomous vehicle platoons, telescope tracking, healthcare analytics). She leads projects addressing real-world challenges like eco-driving optimization for electric vehicles and cyber-resilient infrastructure. Current efforts emphasize sustainability in smart cities and railway automation through hybrid reinforcement learning and optimal control architectures. Her contributions include over 150 peer-reviewed articles and patents, with active engagement in IEEE ITS initiatives. Research outcomes are validated through industry partnerships, lab experiments, and high-fidelity cyber-physical platforms. Key projects involve SME collaboration on predictive maintenance frameworks and microgrid resilience under communication delays/attacks.

Luigi Glielmoمشاهده پروفایل

استاد

• Automatic Control
• Model Predictive Control
• Renewable Energy Systems
• +۵ مورد دیگر

Luigi Glielmo is a Professor of Automatic Control at the University of Sannio in Benevento, Italy. He holds a Master's and PhD in Electronic Engineering and Automatic Control from the University of Naples Federico II. Previously, he taught at the University of Palermo before returning to Naples. His academic leadership roles include Head of the Department of Engineering at University of Sannio (2001–2007), Rector’s Delegate for Technology Transfer (2009–2019), and Coordinator of PhD programs in Information Engineering and Information Technologies for Engineering. Research interests focus on automatic control engineering, including model predictive control, renewable energy systems, smart grids, robotics, biomedical applications (e.g., deep brain stimulation modeling), satellite autonomy, and Boolean control networks. He founded the GRACE research group and has authored over 190 papers, two books, and holds two patents. He is a Senior Member of IEEE, serves on the editorial board of IEEE Control Systems Letters, and chairs the IEEE Control Systems Society Technical Committee on Automotive Controls. Leadership roles include General Co-Chair of the 2019 European Control Conference and ordinary member of IFAC’s Conference Board. His work bridges theoretical advancements with practical applications in energy systems, robotics, and industrial automation.

Christophe PRIEURمشاهده پروفایل

پژوهشگر

• Control of Partial Differential Equations
• Nonlinear Control Theory
• Hybrid Systems
• +۳ مورد دیگر

Christophe PRIEUR is a CNRS Senior Researcher at the University of Grenoble Alpes, working in the Gipsa-lab research laboratory in Grenoble, France. He serves as Vice-President of the European Control Association (EUCA) for 2024-2025 and will assume the Presidency in 2026-2027. An IEEE Fellow and IMA Fellow, he received the prestigious CNRS Silver Medal in 2024 for his contributions to control theory. His academic journey includes: Habilitation à Diriger des Recherches (HDR) from University Paul-Sabatier, Toulouse (2009) PhD in Applied Mathematics from University Paris-Sud (2001) Agrégation of Mathematics (1998) Graduate from École Normale Supérieure de Cachan (2000) Dr. PRIEUR's research centers on mathematical control theory with emphasis on partial differential equations, nonlinear systems, and hybrid dynamics. His work bridges theoretical advances with practical applications in fluid/thermal systems, fusion plasmas, aerospace navigation, and traffic flow control. Notable contributions include stabilization algorithms for distributed parameter systems using saturated boundary controls and event-triggered feedback mechanisms. His scientific recognition includes the CNRS Silver Medal (2024), IEEE Fellow designation, and IMA Fellowship. These honors reflect his impact on control theory foundations and engineering applications. He has directed major research initiatives including ANR projects (LimICoS, TORID), European programs (HYCON2), and international collaborations (STIC-AmSud France-Brazil-Chile). As Program Chair for NOLCOS 2013, ECC 2015, and CDC 2022, he shaped key conferences in control systems. Current leadership roles include Chair of the IEEE CSS Conference Editorial Board (2026-). At Gipsa-lab, he leads the Infinity research group focusing on stability analysis and control design for infinite-dimensional systems, with ongoing work in plasma fusion control and AI-integrated control algorithms.

• Plastic Surgery
• Hand Surgery
• Reconstructive Microsurgery
• +۵ مورد دیگر

Dr. J. Grant Thomson is a Professor of Surgery (Plastic) and Director of the Yale Hand & Microsurgery Program at Yale School of Medicine. He specializes in hand, wrist, and upper extremity surgery, with expertise in reconstructive microsurgery and global health initiatives. His academic roles include affiliations with the Yale Institute for Global Health and leadership in humanitarian surgical expeditions since 1998, impacting over 800 individuals globally. Education: MD from McGill University (1983), MSc in Experimental Surgery (McGill, 1988), residencies at McGill University/Montreal General Hospital (1988–1990), and a fellowship at Washington University/Barnes Hospital (1991). Research Interests: Focuses on flap physiology, microsurgery, tendon repair, and breast reconstruction. Recent studies address opioid prescribing disparities, trigger finger mechanisms, and global surgical outcomes. His work bridges clinical innovation with global health equity. Publications: Over 70 peer-reviewed articles emphasize surgical techniques, pain management, and humanitarian missions. Notable topics include endoscopic carpal tunnel release efficacy and sociodemographic influences on postoperative opioid use. Awards: Recognized repeatedly as a 'Best Doctor in America' and honored for teaching excellence by Yale residents. His leadership in Hand Help, Inc., and volunteer surgical teams underscores his commitment to global health. Advising & Grants: While specific grant details are not listed, his international expeditions and research collaborations imply sustained funding and mentorship in surgical innovation. Labs/Teams: Active in the Yale Hand & Microsurgery Program and collaborates with global health networks through the Yale Institute for Global Health.

• Computer Science
• Information Engineering
• Deep Learning
• +۳ مورد دیگر

Di Zhang is affiliated with Guangdong Medical College's School of Information Engineering and holds a PhD in Synthetic Aperture Radar Image Interpretation from the University of Hamburg (2022). Their research focuses on interdisciplinary fields such as deep learning, remote sensing, optimization algorithms, and their applications in medical imaging, environmental science, and education technology. They have published extensively in top-tier journals like IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Remote Sensing. Key affiliations: University of Hamburg (PhD), Guangdong Medical College, and others listed in disambiguation entries. Research interests include AI-driven medical diagnostics, SAR image analysis, IoT data management, and educational assessment systems. Recent work emphasizes deep learning frameworks for image processing, algorithm optimization, and multimodal data fusion. Publications span diverse topics such as migraine diagnosis via radiomics, social support in online learning, and robust visual SLAM systems. Their work bridges theoretical advancements with practical applications in healthcare, robotics, and environmental monitoring.