Find Academic Supervisors

• Machine Learning
• Fault Diagnosis
• Signal Processing
• +6 more

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.

Michael BeckerView profile

Research Professor

• Caribbean History
• African Diaspora Studies
• Slavery Studies
• +5 more

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
• +3 more

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.

Stefania SantiniView profile

Professor

• Nonlinear Control
• Cyber-Physical Systems
• Time-Delayed Systems
• +7 more

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 GlielmoView profile

Professor

• Automatic Control
• Model Predictive Control
• Renewable Energy Systems
• +5 more

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.

Toyoko OrimotoView profile

Professor

• Experimental Particle Physics
• High Energy Physics
• Higgs Boson Research
• +4 more

Prof. Toyoko Orimoto is a Professor of Physics at Northeastern University's College of Science, specializing in experimental particle physics. She leads research at the CMS Experiment at CERN's Large Hadron Collider (LHC), focusing on Higgs boson physics, beyond the Standard Model (BSM) searches, and detector development. Her work includes studies of Higgs boson interactions, dark matter signatures, and the CMS electromagnetic calorimeter upgrade. Prof. Orimoto also advocates for diversity, equity, and inclusion in science. Education: PhD in Physics from UC Berkeley (2006), followed by postdoctoral roles at Caltech (2006-2009) and CERN (2009-2012). She has been at Northeastern since 2012. Research interests span experimental particle physics, including Higgs boson decay mechanisms, BSM physics (supersymmetry, extra dimensions), and future colliders like the muon collider. Her group contributes to CMS detector improvements, such as the MIP timing layer and electromagnetic calorimeter readout electronics. Notable achievements include co-winning the 2025 Breakthrough Prize in Fundamental Physics for LHC research and organizing the 2024 Large Hadron Collider Physics Conference at Northeastern. Her work bridges cutting-edge physics with detector technology and accelerator R&D.

• Computer Science
• Information Engineering
• Deep Learning
• +3 more

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.

Benchun DuanView profile

Professor

• Seismology
• Geomechanics
• Tectonophysics
• +4 more

Professor Benchun Duan holds the Francesco Paolo di Gangi/Heep Endowed Professorship in Theoretical Geophysics at Texas A&M University (TAMU), where he is affiliated with the Department of Geology and Geophysics within the College of Geosciences. His research focuses on earthquake source physics, computational seismology, and geomechanics, with a strong emphasis on numerical modeling and high-performance computing. Education: Ph.D. Geological Sciences, University of California, Riverside, 2006. M.S. Applied Geophysics, Ocean University of China, 1994. B.S. Applied Geophysics, Ocean University of China, 1991. Research Interests: Dr. Duan explores dynamic earthquake ruptures on complex faults, megathrust earthquakes, fluid-induced seismicity, and subsurface processes. His work integrates seismic data with physics-based models, focusing on the San Andreas Fault, Japan Trench, Mexico subduction zones, and anthropogenic effects like hydraulic fracturing. He develops advanced numerical tools like EQsimu for simulating fault dynamics. Articles Trends: Recent publications emphasize earthquake cycle modeling, fault geometry effects, and interactions between slow-slip events and tsunamigenic earthquakes. Key topics include induced seismicity, tsunami earthquake mechanisms, and code verification for 3D dynamic simulations. Awards: NSF Career Award (2013) Distinguished Achievement Award for Faculty Research (2010, TAMU) Advising & Grants: Supervised over 10 graduate students and led collaborative projects on fault mechanics. Active in initiatives like the Southern California Earthquake Center (SCEC) and the Seismic Cycle and Earthquake Sequences (SEAS) code verification effort. Labs & Teams: Directs the Earthquake Mechanics and Laboratory for Advanced Modeling (EMLAM), accessible via https://seismotamu.wixsite.com/emlam .

Darren HenrichsView profile

Assistant Professor

• Dinoflagellate Ecology
• Population Genetics
• Phylogenetics
• +5 more

Dr. Darren Henrichs is an Instructional Assistant Professor at Texas A&M University, affiliated with the Department of Oceanography. His research focuses on dinoflagellate ecology, population genetics, and phylogenetics, with a particular interest in harmful algal blooms and their environmental impacts. He holds a Ph.D. in Biology from Texas A&M University (2012) and a B.S. in Biology from Texas Lutheran University (2004). Research interests include the genetic and ecological dynamics of dinoflagellates, specifically studying species like Karenia brevis and Dinophysis , which cause harmful algal blooms. His work integrates imaging technologies, genomics, and computational modeling to better understand bloom initiation, community responses to environmental disturbances, and species distribution patterns in marine ecosystems. Publications highlight a focus on harmful algal bloom prediction, microplastic detection via imaging cytometry, and the effects of climate events (e.g., storms, hypoxia) on phytoplankton communities. Methodological innovations include applying convolutional neural networks and individual-based models for early warning systems and bloom dynamics analysis. No scientific awards are listed, though his contributions to marine ecological research are evident through his extensive publication record. He has taught multiple courses in biology and oceanography, including introductory biology and taxonomy of flowering plants. His roles include postdoctoral research associate at Texas A&M (2012–present) and laboratory teaching assistantships spanning 2005–2012. Laboratory and fieldwork contributions involve collaborations with institutions like the National Center for Genome Resources and the Woods Hole Oceanographic Institution, emphasizing interdisciplinary approaches to marine environmental challenges.

• Star Formation
• Galactic Structure
• Visualization
• +2 more

Alyssa A Goodman is the Robert Wheeler Willson Professor at Harvard University, specializing in astrophysics with a focus on star formation, galactic structure, and scientific computing. Her work integrates advanced visualization techniques and computational methods to explore the Milky Way’s 3D structure, such as the discovery of the Radcliffe Wave. She leads the MilkyWay3D.org initiative, democratizing access to 3D galactic data for researchers and the public. Her research emphasizes 3D dust mapping using Gaia data, revealing unexpected galactic phenomena like oscillating structures and star-forming complexes. Goodman’s presentations, such as ' Seeing the Milky Way in 3D ', highlight her efforts to bridge computational astronomy with public engagement. She also contributes to education through tools like the WorldWide Telescope, fostering spatial thinking and STEM literacy. Key projects include analyzing the Local Bubble’s magnetic field, studying stellar kinematics in star-forming regions, and developing AI-driven tools like AstroLLaMA for astronomy. Her work spans from fundamental astrophysics to applied data science, emphasizing interdisciplinary collaboration and open science practices.

• Perioperative Medicine
• Critical Care Medicine
• Liver Transplantation
• +3 more

François Carrier is a Clinical Associate Professor at the Faculty of Medicine , Université de Montréal , affiliated with the Department of Anesthesiology and Pain Medicine and practicing at the CHUM (Centre hospitalier de l'Université de Montréal) . He is a researcher at CRCHUM and holds a Clinician Researcher scholarship from the Fonds de Recherche du Québec – Santé (FRQ-S) . Education : PhD (in progress, Épidémiologie et biostatistique, Université de Montréal) MSc (Biomedical Sciences, Université de Montréal) DESS (Critical Care Medicine, Université de Montréal) DESS (Anesthesiology, Université Laval) MD (Université Laval) His research focuses on perioperative interventions to reduce postoperative complications in liver transplantation , hepatobiliary surgery , and cardiac surgery . He investigates transfusion practices , fluid management strategies , and clinical epidemiology in surgical contexts, particularly examining acute kidney injury , acute respiratory failure , and COVID-19 surgical outcomes . His work emphasizes clinical trials , cohort studies , and meta-analyses , with recent publications addressing topics like lung ultrasound elastography , sedation practices in ICU , and machine learning applications in blood transfusion . Although no explicit scientific awards are listed, his research is funded by major Canadian institutions like CIHR (IRSC) and FRQ-S . He leads and collaborates on multi-center projects such as REFIL (Restrictive Fluid management In Liver transplantation) , VALIANCE (Vascular Events in Noncardiac Surgery) , and CODA-19 (Collaborative Data Analysis for COVID-19) , focusing on fluid management , transfusion strategies , and critical care outcomes . As part of the Transfusion Medicine Chair at Université de Montréal, he contributes to research on blood product usage and donor pool expansion , bridging clinical practice with translational research in hepatic diseases and renal failure .

Karen ParkhillView profile

Senior Lecturer

• Energy Geographies
• Geographies of Risk
• Climate Change
• +3 more

Dr. Karen Parkhill is a Reader in Human Geography at the Department of Environment and Geography, University of York. Her research focuses on energy geographies, risk perception, and low-carbon transitions, with expertise in qualitative methods exploring public engagement with energy systems and environmental risks. She holds a PhD from Cardiff University and has held roles at Bangor University and Cardiff University's Understanding Risk Research Group. Parkhill is a Fellow of the Royal Geographical Society (RGS-IBG) and chairs its Energy Geographies Working Group. Her work bridges energy policy, climate change, and socio-technical systems, examining topics like nuclear energy, geoengineering, and community energy initiatives. Key projects include EPSRC-funded studies on welfare policies and energy demand, and ESRC-funded research on energy biographies. She has supervised students on topics such as energy justice and community energy benefits. Parkhill teaches modules like 'Introduction to Human Geography' and has been recognized for teaching excellence with a student-led nomination. Grants include £299,961 from EPSRC (2015-2017) and £699,910 from ESRC/EPSRC (2010-2015). Her awards include Welsh Crucible participation (2014) and RGS-IBG leadership roles. Current research explores agrivoltaics in East Africa and just transitions in decarbonization. She collaborates internationally, addressing energy governance and public values in policy contexts.

Ali BidramView profile

Associate Professor

• Power Systems Engineering
• Smart Grid Control
• Renewable Energy Integration
• +3 more

Ali Bidram is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), Albuquerque, NM. He holds a Ph.D. from the University of Texas at Arlington (2014), an MS and BS from Isfahan University of Technology (2010 and 2008). His research focuses on control and protection of power systems, particularly in power electronics-intensive grids, smart grids, and renewable energy integration. He has received prestigious awards including the NSF CAREER Award and multiple teaching excellence recognitions. Education: Ph.D., Electrical Engineering, University of Texas at Arlington, 2014 MS, Electrical Engineering, Isfahan University of Technology, 2010 BS, Electrical Engineering, Isfahan University of Technology, 2008 Research Interests: Microgrid/Smartgrid control Grid modernization Renewable energy integration Power systems protection and control Scientific Awards: NSF CAREER Award UNM School of Engineering Junior Faculty Teaching Excellence Award IEEE Albuquerque Outstanding Engineering Educator Award New Mexico EPSCoR Mentorship Award Advising and Grants: Bidram has advised numerous projects and secured grants focusing on grid resilience, renewable integration, and cyber-physical security. His work includes collaborations with industry partners like Quanta Technology, LLC. Labs/Teams: He leads the Power Systems Emerging Technologies (PSET) research group, focusing on advanced grid technologies and cybersecurity solutions.

Laura JamesView profile

Associate Professor

• Sustainability
• Tourism
• Green Transitions
• +4 more

Laura James is an Associate Professor in the Department of Culture and Learning at Aalborg University (Denmark), affiliated with the Faculty of Social Sciences and Humanities. Her research focuses on sociocultural aspects of sustainability and green transitions, particularly in the context of tourism and regional development. She leads the Tourism Research Unit (TRU) and contributes to initiatives like the CROCUS project, exploring cultural and creative tourism in rural areas. Her work emphasizes Arctic cruise tourism, sustainable practices, and policy frameworks for resilient destinations. Research Interests: James investigates sustainable tourism models, green transitions in coastal and Arctic regions, and the socio-economic dynamics of cruise tourism. She examines how transformative events (e.g., pandemics, climate change) impact tourism systems and regional resilience. Her studies often integrate practice theory and evolutionary economic geographies to analyze destination development and policy interventions. Projects: Principal Investigator: Viden til Tiden 2.0 (2022–2023) Co-Investigator: CROCUS (2024–2027) – Cross-border cultural tourism in rural regions Contributor: Arctic Coastal Ecosystems (2020–2024) Media & Outreach: Contributed to policy debates on sustainable tourism and regional development in Danish media Co-authored policy briefs on green tourism and cluster organizations Collaborations: International partnerships in Greenland, Iceland, and across Europe Active in Arctic tourism research networks Laura James’ research bridges academic inquiry with practical applications, aiming to foster sustainable tourism practices and resilient regional economies.

Damiano PasettoView profile

Associate Professor

• Numerical Analysis
• Computational Modeling
• Epidemiological Modeling
• +2 more

Damiano Pasetto is Associate Professor in Numerical Analysis at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Informatics and Statistics. His office is located in the Alfa building of the Via Torino scientific campus. Pasetto's research develops computational methods for environmental and epidemiological systems. Core focuses include reduced-order modeling techniques applied to groundwater flow simulations and physics-informed neural networks for epidemiological forecasting. Recent publications demonstrate strong emphasis on epidemic modeling (40%), hydrological systems (33%), and computational method development (27%). COVID-19 spatial dynamics and cholera transmission mechanisms represent significant thematic clusters. He leads EPIDOC project (2021-2025) on data assimilation and optimal control for COVID-19 forecasting in Italy. Additional research includes Bayesian parameter estimation for hydrological transport models. Office hours: Tuesdays 14:00-15:00 in Alfa 314 or by appointment.