Find Academic Supervisors

• Wave Energy Conversion
• Marine Current Energy
• Power Electronics
• +12 more

Mats Leijon is Professor of Electrical Engineering at Uppsala University, Sweden. His work centers on renewable energy systems, particularly wave and marine current energy conversion, with a focus on direct-driven linear generators, power electronics, and grid integration. He has led projects at the Lysekil Research Site, Sweden, and contributed to experimental hydrokinetic power stations like the Söderfors Project. Key Affiliations: Department of Electrical Engineering, Uppsala University; Ångström Laboratory; Lysekil Research Site. Research Interests span wave energy converter design, electromagnetic systems, control strategies for renewable energy, and marine substation technology. He explores: Hydrodynamic and electromagnetic modeling of point-absorbing wave energy devices Power optimization via resonance circuits and predictive control Robotized manufacturing for electric machines Publication Trends highlight collaborations on Wave Energy Converters , Marine Current Turbines , and Three-Level Inverter Systems , with applications in the Baltic Sea and Norwegian fjords. His work addresses extreme wave survivability, power fluctuation reduction, and environmental impact assessments. Grants and Projects include offshore wave energy deployments, thermal rating of submerged substations, and experimental validation of marine power systems. He has advised on robotics for cable winding and stator slot geometry optimization. Labs and Teams operate at the Ångström Laboratory and Lysekil Research Site, focusing on full-scale offshore experiments, CFD simulations, and grid-connected marine substations.

P.M. MohiteView profile

Professor

• Composite Structures Analysis
• Micromechanics of Materials
• Finite Element Analysis
• +6 more

Dr. P.M. Mohite is a Professor at the Department of Aerospace Engineering , Indian Institute of Technology Kanpur , with a career spanning over two decades in composite materials research. He holds a PhD in Aerospace Engineering from IIT Kanpur (2007) and has been a Visiting Assistant Professor (2008-2009) and later Assistant , Associate , and Professor (2019-present) at IIT Kanpur. Research Interests include: Advanced composite structures analysis Micromechanics and damage modeling Finite element adaptive methods Metal plasticity and polymer composites Aerostructural optimization Key Publications focus on damage mechanics, structural optimization, and micromechanical characterization, with recent works on evolutionary algorithm-based composite design and boundary layer effects in laminates. Scientific Awards received: Best Student Award (B.E. Mechanical, 1998) AIAA Students Paper Contest Finalist (2006) Teaching Contributions include core courses like Composite Materials and Finite Element Methods , alongside advanced postgraduate topics in aerospace structural analysis. Advising has impacted 30+ M.Tech/Ph.D. students, including international collaborations with Université de Biskra (Algeria) and Ecole Centrale de Nantes (France).

Abolfazl SimorghView profile

Researcher

• Aircraft Trajectory Optimization
• Climate Change Mitigation in Aviation
• Robust Control
• +3 more

Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.

Justin L. BenoitView profile

Assistant Professor

• Emergency Medicine
• Critical Care Medicine
• Cardiology
• +3 more

Dr. Justin L. Benoit is an Assistant Professor at the University of Cincinnati College of Medicine, Department of Emergency Medicine. His work focuses on prehospital medicine, cardiac arrest resuscitation, and blood-based biomarkers, with a clinical emphasis on cardiovascular disease and airway management. He is board-certified in Emergency Medicine and Emergency Medical Services by the American Board of Emergency Medicine. Bachelor's Degree: University of Maryland, College Park (Cell and Molecular Biology and Genetics) Master's Degree: University of Cincinnati (Clinical and Translational Research) Medical Degree: Case Western Reserve University Residency: University of Cincinnati (Emergency Medicine) Fellowship: University of Cincinnati (EMS and Clinical Research) His research spans sudden cardiac arrest, emergency airway management, and biomarker development, particularly in the context of OHCA and SARS-CoV-2. Recent publications highlight advancements in ECPR accessibility, cooling duration protocols, and ventilation practices. He leads multiple federally and privately funded grants, including NIH and Bill & Melinda Gates Foundation projects. Dr. Benoit's work integrates emergency medicine, critical care, and public health, emphasizing data-driven improvements in resuscitation and pandemic response. Collaborations with international researchers and institutions underscore his impact on global clinical practices.

• Medical Education
• Clinical Assessment
• Curriculum and Pedagogy
• +4 more

Karen D'Souza serves as an Associate Professor in Medical Education at Deakin University's School of Medicine within the Faculty of Health. Based at the Geelong Waurn Ponds Campus, she focuses on education-centered academic work rather than clinical practice. Her contact information includes phone number +61 3 522 72116 and email karen.dsouza@deakin.edu.au. Dr. D'Souza earned her Bachelor of Medicine & Bachelor of Surgery from the University of Melbourne, establishing her medical credentials before transitioning to medical education specialization. Her academic journey shows a clear progression from clinical medicine to educational leadership, with her early publications including echocardiography research before shifting focus to medical education methodologies. Her research interests center on medical education with particular expertise in clinical assessment systems, OSCE development, and curriculum design. She has made significant contributions to understanding assessment methodologies, examiner decision-making processes, and adaptations to clinical education during the pandemic. Her work demonstrates how professional expectations influence clinical assessment outcomes and how to improve assessor judgments in medical student evaluations. Analysis of her publication trends reveals a consistent focus on improving medical education assessment practices, with increasing attention to collaborative approaches across Australian medical schools. Her recent work (2023-2024) continues to refine assessment guidelines for final-year medical students while addressing contemporary challenges in clinical education. Researcher of the year (teaching & learning) award from Smart Geelong Network (2009) Dr. D'Souza's collaborative research approach is evident in her extensive co-authorship patterns, particularly with researchers like Malau-Aduli BS and Hays RB. Her grant activity includes the 2009 Smart Geelong Network award which funded collaborative work with colleagues Ward A, Leeuw ED, Crotty B, and Milnes S. Her research demonstrates strong institutional partnerships across Australian medical education. Her work has significantly influenced OSCE practices across Australian medical schools, contributing to standard setting methods and pandemic adaptations. Dr. D'Souza's research program represents a sustained effort to improve the validity and reliability of clinical assessment in medical education through cross-institutional collaboration and evidence-based practices.

• Macroeconomics
• Trade Modeling
• Monetary Policy
• +5 more

Professor Patrick Minford is a distinguished academic specializing in macroeconomics and trade modeling at Cardiff Business School, Cardiff University. With a prolific research career spanning several decades, he has established himself as a leading expert in dynamic stochastic general equilibrium (DSGE) modeling and macroeconomic policy analysis. His work frequently addresses contemporary economic challenges including Brexit impacts, monetary policy frameworks, and international trade dynamics. Minford's research interests focus on macroeconomic and trade modeling, with particular emphasis on the application of DSGE models to real-world policy questions. His work consistently bridges theoretical economic frameworks with practical policy implications, examining how monetary and fiscal policies affect economies in both closed and open contexts. Recent research has expanded to include analysis of pandemic economic impacts, Brexit consequences, and the evaluation of alternative monetary policy frameworks including Modern Monetary Theory. His extensive publication record demonstrates consistent contributions to top economic journals including Journal of International Money and Finance, Open Economies Review, and Applied Economics. Minford's methodological expertise in indirect inference techniques for model validation has been particularly influential in the field of applied macroeconomics. His research often involves international collaborations, reflecting the global nature of contemporary economic challenges. As an educator, Minford teaches macroeconomics to MSc and PhD students at Cardiff Business School and is available for postgraduate supervision. His teaching complements his research focus, ensuring students receive cutting-edge instruction in macroeconomic modeling and policy analysis.

• Transportation Safety
• Traffic Psychology
• Sustainable Mobility
• +5 more

Sergio Alejandro Useche Hernandez is an active Assistant Professor specializing in transportation safety and traffic psychology, with 134 publications reflecting deep expertise in human behavioral factors within mobility systems. His research spans road safety compliance, sustainable transport adoption, and mental health impacts across diverse populations including cyclists, delivery workers, and public transport users. His primary research interests focus on the intersection of psychology and transportation engineering, particularly sensation seeking in vulnerable road users, gender disparities in mobility choices, and technology-induced distractions. He employs advanced methodologies including Structural Equation Modeling (SEM), cross-cultural surveys, and systematic literature reviews to investigate phenomena like e-scooter adoption barriers in developing countries and mental health outcomes among transport workers. Key contributions include the validated SSC scale for cyclist risk assessment and frameworks for evaluating sustainable mobility policies through interdisciplinary lenses. Analysis of his 15 most recent publications (2024-2026) reveals three dominant trends: (1) growing emphasis on digital distractions across transport modes (cycling, motorcycling, driving), (2) sophisticated gender-based analyses of mobility barriers and safety outcomes, and (3) methodological innovation through integrated theoretical frameworks like TPB-UTAUT. His work consistently bridges academic rigor with policy relevance, particularly regarding last-mile delivery risks and post-crash psychological recovery. While no specific scientific awards are documented in the source material, his extensive publication record in high-impact journals (e.g., Accident Analysis and Prevention , Transportation Research Part F ) demonstrates significant scholarly recognition. The absence of listed advisees suggests primary focus on independent or collaborative research rather than graduate supervision, though his faculty position implies potential mentoring activities. His work shows strong alignment with European mobility policy initiatives and cross-national studies spanning Spain, Australia, Latvia, and the Dominican Republic, indicating robust international collaboration networks.

• Advanced Manufacturing
• Laser Processing
• Surface Engineering
• +5 more

Dr. Manuela Pacella is a Senior Lecturer in High-Value Manufacturing at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She serves as Academic Integrity Lead and Programme Director for the BEng/MEng Manufacturing Engineering programs. Previously, she held roles at Cardiff University (Lecturer in Laser Machining) and worked in industry with 3M and Element Six. Her research focuses on laser processing of advanced materials, surface engineering, and manufacturing innovation. Education: PhD in Mechanical Engineering (University of Nottingham, 2014), MEng in Mechanical Engineering (Technical University of Bari, Italy, summa cum laude). Professional credentials include Chartered Engineer (CEng MIMechE), Fellow of the Higher Education Academy (FHEA), and IMechE MPDS Mentor. Research interests include laser machining strategies, surface functionalization, and tribology of ultra-hard materials like diamond and boron nitride. She has pioneered techniques for enhancing tool durability and biomedical implant performance through laser-based methods. Scientific achievements include a 2017 Blackall Award nomination (ASME) and over 40 publications. She supervises >4 PhD, 25 UG, and 12 MSc students, and has served as an examiner for Birmingham University and internal examiner at Loughborough. Her work bridges academic research with industrial applications, particularly in high-value manufacturing sectors.

Venkat N. KroviView profile

Professor

• Robotics
• Autonomous Vehicles
• Human-Robot Interaction
• +5 more

Prof. Venkat N. Krovi serves as the Michelin Endowed Chair Professor of Vehicle Automation in the Departments of Automotive Engineering and Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). He directs the Automation, Robotics and Mechatronics Laboratory (ARMLab) at the International Center for Automotive Research (CU-ICAR), focusing on smart embedded systems for autonomy in challenging environments. He earned his Ph.D. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 1998. His research leverages distributed autonomy and human-robot synergy to extend human capabilities, with applications spanning plant automation, consumer electronics, automobile, defense, and healthcare. The work emphasizes lifecycle treatment (design through verification) of robotic systems under uncertainty. Recent publications (2024-2025) demonstrate strong trends in digital twin frameworks for autonomous vehicle validation, sim2real transfer via reinforcement learning, and integration of large language models for editable simulations. Key themes include scalable cloud-based architectures, Koopman operator theory for robustness, and containerization for reproducible robotics development. His accolades include: National Science Foundation (NSF) CAREER Award Petro-Canada Young Innovator Award Multiple best paper awards at conferences and journals ASME Dedicated Service Award (2024) Prof. Krovi has advised doctoral students including Dr. Srivatsan Srinivasan (2024). His research receives substantial funding from NSF, DARPA, ARO, and industrial partners like Michelin. He leads the NSF I/UCRC RoSeHuB center and the AutoDRIVE ecosystem for autonomous driving education. As ARMLab director, he oversees projects including OpenCAV, the Robotics for AV Systems Bootcamp, and containerized terramechanics simulations. The lab specializes in mechatronic design, verification/validation frameworks, and human-autonomy coexistence studies for next-generation mobility solutions.

• Geotechnical Engineering
• Earthquake Engineering
• Soil-Structure Interaction
• +7 more

Ramin Motamed is a Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno (UNR). His research focuses on geotechnical earthquake engineering, including soil-structure interaction, liquefaction mitigation, and nonlinear site response analysis. He has conducted extensive studies on deep foundations, ground motion analysis, and seismic design of structures. Motamed leads a research group involving postdocs and graduate students, and teaches advanced courses such as Geotechnical Earthquake Engineering and Foundation Engineering Design. His work integrates experimental methods (e.g., shake table tests) with numerical modeling to address challenges in seismic hazard mitigation. Key projects include evaluating helical piles for foundation settlement reduction, improving LRFD resistance factors for drilled shafts in Nevada, and analyzing site-specific ground motions using downhole array data. Motamed’s research has been published in journals like Soil Dynamics and Earthquake Engineering, and he collaborates with institutions globally, including Japan’s E-Defense facility. Current research emphasizes reducing uncertainties in ground motion prediction, optimizing mitigation measures for liquefaction-prone sites, and advancing predictive analytics for geotechnical design using machine learning. His lab facilities and field experiments enable large-scale validation of theoretical models, bridging geotechnical theory and practical engineering solutions. Teaching responsibilities include foundational and graduate courses covering geotechnical engineering principles, earthquake engineering, and advanced foundation analysis. Motamed’s advising includes over a dozen graduate students, many contributing to high-impact research in seismic resilience and geotechnical innovation.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +4 more

Prof. Frank-Peter Schilling is a Senior Lecturer at Zurich University of Applied Sciences (ZHAW) School of Engineering and Deputy Director of the Centre for Artificial Intelligence (CAI). He leads the Intelligent Vision Systems group and coordinates the PhD Programme in Data Science with the University of Zurich. As an Adjunct Professor at Victoria University of Wellington, he specializes in AI, Machine Learning, and applications in healthcare and physical sciences. His research focuses on deep learning-based computer vision, MLOps, and trustworthy AI certification frameworks. Education: PhD in Physics (University of Heidelberg, 2001) Dipl.-Phys. (MSc equivalent in Physics, University of Heidelberg, 1998) CAS University Didactics (PH Zurich, 2024) Research Interests: Developing AI systems for medical imaging (e.g., CBCT artifact reduction) Certification schemes for AI trustworthiness (e.g., certAInty project) Applications of deep learning in particle physics and industrial vision Achievements: Recipient of the EPS HEP Prize (2013) for contributions to the Higgs boson discovery at CERN Lead author of over 20 peer-reviewed articles on AI, MLOps, and medical imaging Principal investigator for projects like AI-BRIDGE (responsible AI development) and GenAI4SKA (Square Kilometre Array simulations) Teaching: Courses in MLOps, Machine Learning Operations, and Computer Vision at BSc and MSc levels. Developed the CAS Advanced Machine Learning program. Labs & Networks: Active in ELLIS (European Lab for Learning and Intelligent Systems), CLAIRE (AI research), and ZHAW’s Digital Health/Datalab initiatives.

• Textile Engineering
• Composite Materials
• Sustainable Textiles
• +3 more

Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles

Kaspar RiesenView profile

Researcher

• Pattern Recognition
• Machine Learning
• Computer Vision
• +4 more

PD Dr. Kaspar Riesen is the Head of the Pattern Recognition Group at the Institute of Computer Science, University of Bern. His research focuses on graph-based methods for pattern recognition, with applications in document analysis, environmental modeling, and healthcare. Key interests include graph matching, neural networks, and spatio-temporal modeling. His work spans structural pattern recognition, graph embeddings, and keyword spotting in historical documents. Recent projects involve river network analysis using graph regression and hypoglycemia prediction via LSTM-GNN hybrid models. Publications emphasize graph theory advancements, such as normalized graph compression and geometric similarity learning. Collaborations include developing specialized algorithms for automated error detection and improving decision-making in simulated sports. Labs/Teams: Pattern Recognition Group (PRG) at the University of Bern.

Lon S. SchneiderView profile

Professor

• Alzheimer's Disease Research
• Dementia
• Psychiatry
• +5 more

Lon S. Schneider, MD, MS is Professor of Psychiatry & the Behavioral Sciences at the Keck School of Medicine of the University of Southern California, where he holds the Della Martin Chair in Psychiatry and Neuroscience. He directs the USC California Alzheimer's Disease Center (funded by the California Department of Health Services), the Geriatric Studies Center, and co-directs the clinical core of the USC NIA Alzheimer's Disease Research Center. Dr. Schneider's research focuses on treatment development with novel metabolic and neuroregenerative compounds, outcomes assessment, and approaches to modeling, clinical trials methods and simulations, and in silico screening of medications for slowing Alzheimer's disease. His work spans Alzheimer's disease therapeutics, clinical trial methodology, neuropsychopharmacology, dementia prevention, and neurodegenerative biomarkers. His recent publications demonstrate expertise in amyloid and tau biomarkers, clinical trial design, agitation management in dementia, and cross-cultural studies of cognitive decline. Dr. Schneider serves as an associate editor or editorial board member for several publications and is a member of The Lancet Commission on dementia prevention, intervention, and care. His research has significantly influenced clinical practice and trial design in Alzheimer's disease. Woodward/White, Inc.: The Best Doctors in America, 1992-2009 Fellow of the American College of Neuropsychopharmacology Distinguished Life Fellow of the American Psychiatric Association Dr. Schneider has mentored numerous researchers and clinicians in the field of geriatric psychiatry and Alzheimer's disease research. His work on the CitAD trial examining citalopram for agitation in Alzheimer's dementia represents one of the largest studies of its kind. He has contributed significantly to understanding the relationship between neuropsychiatric symptoms and functional decline in dementia, as well as developing novel measures for Alzheimer's disease prevention trials. His laboratory and clinical research programs focus on identifying biomarkers of disease progression, developing novel therapeutic approaches for Alzheimer's disease, and improving clinical trial methodology for neurodegenerative disorders. Dr. Schneider collaborates extensively with researchers across USC and internationally on multi-center clinical trials and observational studies of dementia.

Zhong-Lin LuView profile

Academic

• Visual Perception
• Cognitive Neuroscience
• Computational Modeling
• +6 more

Zhong-Lin Lu is a Distinguished Professor of Psychology and Social and Behavioral Science at The Ohio State University, holding concurrent appointments in Optometry and the Translational Data Analytics Institute. He directs the Center for Cognitive and Brain Sciences and the Center for Cognitive and Behavioral Brain Imaging. Previously, he held the William M. Keck Chair in Cognitive Neuroscience at the University of Southern California. He earned his Ph.D. in Physics from New York University (1992), following an M.S. (1991) and B.S. in Theoretical Physics from the University of Science and Technology of China (1989). His research bridges computational neuroscience, vision science, and cognitive psychology, focusing on visual perception, attention, perceptual learning, and functional brain imaging. Key methods include fMRI, EEG, and hierarchical Bayesian modeling. His work addresses clinical applications in amblyopia, myopia, and glaucoma, alongside foundational studies on decision-making and neural plasticity. He has developed novel techniques like the quantitative Contrast Sensitivity Function (qCSF) and quasiconformal mapping for retinotopic brain mapping. His labs emphasize translational research linking computational models to real-world applications. Awards: APS Fellow (2007), Society of Experimental Psychologists Early Investigator Award (2003) Leadership: Directed USC's Dornsife Cognitive Neuroscience Imaging Center (2004–2011) Interdisciplinary roles: Co-Director of OSU's Humanities/Cognitive Sciences Summer Institute Current research explores visual processing across lifespan, neural mechanisms of perceptual learning, and optimizing fMRI data through advanced computational methods. His work integrates basic science with clinical and applied domains, influencing driver safety, vision correction, and neurotechnology development.