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Corinne CoenView profile

Associate Professor

• Team Cooperation
• Organizational Behavior
• Complex Systems
• +4 more

Corinne Coen is an Associate Professor of Organizational Behavior at the Weatherhead School of Management, Case Western Reserve University. She joined the faculty in 2009 and has established herself as an expert in team dynamics, cooperative behavior, and complex systems within organizational contexts. Her work bridges theoretical organizational behavior with practical applications for enhancing team performance and cooperation. Dr. Coen's educational background includes: PhD in Business from University of Michigan Business School (2001) Master of Business Administration from University of Chicago Graduate School of Business (1987) Bachelor of Arts from University of Michigan, School of Literature, Science & Arts (1981) Professor Coen's research focuses on understanding why people cooperate in teams and how managers can foster greater cooperation. She investigates cooperative dynamics within teams, between teams, and designs team structures that elicit productive interdependence. As an expert in complex systems and emergence, she applies computational and simulation approaches to study organizational phenomena. Her work examines how simple interactions among individuals lead to complex group behaviors and outcomes, with particular attention to team problem-solving, resource allocation, and the effects of team structure on performance. Her extensive publication record reveals consistent themes in team cognition, cooperation dynamics, and complex systems approaches to organizational behavior. Over the past two decades, her research has evolved from examining basic cooperation mechanisms in social dilemmas to more complex investigations of multiteam systems, emergent properties in teams, and the application of computational modeling to organizational phenomena. Recent work emphasizes practical applications of team structure design to balance efficiency and diversity in problem-solving contexts. Dr. Coen has received numerous prestigious awards recognizing her contributions to research and teaching: Doctoral Teaching and Mentoring Award (2022, Weatherhead School of Management) Diekhoff Award for Best Graduate Mentor Nominee (2016, Case Western Reserve University) WSOM Undergraduate Teaching Award - First Runner Up (2016) Doctoral Teaching and Mentoring Award (2015) Emerging Impact Award (2014) Outstanding Leadership and Contribution Award (2008, Academy of Management) Lewis-Progressive Fellowship (2014, 2015) As an educator, Dr. Coen teaches courses including Developing Interpersonal Skills for Managers, Leading Organizations, Leading Teams through Interpersonal Relationships, and Research Methods. She has received multiple teaching awards recognizing her effectiveness in the classroom and her mentorship of doctoral students. Her service to the academic community includes committee work at Case Western Reserve University, editorial roles for academic journals, and panel participation for the National Science Foundation.

Ahmed AboelezzView profile

Assistant Professor

• Applied Aerodynamics
• Unmanned Aerial Vehicles (UAVs)
• Wind Energy Systems
• +2 more

Ahmed Aboelezz is an Assistant Professor of Mechanical Engineering at the University of Maine , affiliated with the College of Engineering . He holds a Ph.D. in Mechanical Engineering from New Mexico Institute of Mining and Technology (2024) and a Ph.D. in Aerospace Engineering from Cairo University (2023). His research focuses on UAVs, wind energy systems, and bio-inspired design. Education: Ph.D. in Mechanical Engineering (2024), New Mexico Institute of Mining and Technology Ph.D. in Aerospace Engineering (2023), Cairo University Research Interests span applied aerodynamics, UAV flight dynamics and control, wind energy optimization, and bio-inspired engineering. His work combines computational and experimental methods to address challenges in harsh environments. Publication Trends reveal expertise in UAV propulsion systems for coal mines Wind turbine flow control Bio-inspired wing pattern analysis Low-speed wind tunnel optimization with interdisciplinary applications in energy and robotics. Professional Memberships: American Society of Mechanical Engineers (ASME) American Institute of Aeronautics and Astronautics (AIAA) Maine College of Engineering and Computing Journal Reviewer: Drones Journal The Aeronautical Journal Labs & Teams: He leads the AeroSystems Dynamics Lab (ADL) , conducting research on UAVs, wind energy systems, and bio-inspired design principles.

• Construction Management
• Project Management
• Artificial Intelligence Applications in Engineering
• +3 more

Elyar Pourrahimian is a Postdoctoral Fellow at the University of Alberta's Faculty of Engineering, specifically within the Civil and Environmental Engineering Department. He teaches courses such as CIV E 303 - Project Management (Winter Term 2026) and CIV E 601 - Analytical Methods for Project Management (Fall Term 2025), focusing on project planning, scheduling, and control methodologies. His research interests span Construction Management Project Management Artificial Intelligence Applications in Engineering Chaos Theory in Project Planning Fuzzy Systems in Labour Productivity Bayesian Inference in Construction Simulation . Recent publications highlight trends in construction workspace optimization (2025), chaos and fuzzy systems for productivity analysis (2025-2022), and machine learning frameworks (2024) for construction monitoring. He also explores multidimensional project control (2024) and socio-technical lean management frameworks (2024).

Robert AdamsView profile

Associate Professor

• Applied Electromagnetics
• Theoretical Electromagnetics
• Computational Electromagnetics
• +3 more

Robert Adams is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Kentucky. He holds a Ph.D., M.S., and B.S. in Electrical Engineering from Virginia Tech and Michigan Technological University, respectively. His academic career spans roles as Research Assistant Professor at Virginia Tech and EM Research Scientist at Science Applications International Corp. Ph.D., Virginia Tech, Electrical & Computer Engineering, 1998 M.S., Virginia Tech, Electrical Engineering, 1995 B.S., Michigan Technological University, Electrical Engineering, 1993 His research focuses on computational electromagnetics, with expertise in applied and theoretical electromagnetics, numerical methods for integral equations, and finite element analysis. His work addresses challenges in wave scattering, eddy current modeling, and nonlinear magnetic material simulations. Dr. Adams' recent publications emphasize advancements in the Nyström method for solving augmented integral equations, Helmholtz decomposition techniques for stability, and sparse matrix factorizations. These studies highlight applications in electromagnetic scattering, hysteresis modeling, and efficient computational algorithms. Teachers Who Made a Difference (2007) ECE Department Outstanding Teaching Award (2006) NSF CAREER Award (2006-2011) R.W.P. King Paper Award (2005) Bradley Postdoctoral Fellowship (1999-2001) Bradley Fellowship (1995-1998) His awards include prestigious NSF funding and multiple Bradley Fellowships, alongside recognition for teaching excellence. Research grants and collaborations further underscore his contributions to computational electromagnetics.

Sangeeta SharmaView profile

Professor

• Theoretical Condensed Matter Physics
• Ultrafast Phenomena
• Spintronics
• +3 more

Prof. Dr. Sangeeta Sharma is a Principal Investigator at the Max Born Institute (MBI) in Berlin, leading Project A04 in the TRR 227 "Ultrafast Spin Dynamics" collaboration. Her work centers on theoretical condensed matter physics, with a focus on ultrafast phenomena in quantum materials. Her research interests include spintronics, valleytronics, and light-matter interaction. She develops models for controlling spin and valley currents using ultrafast light pulses, particularly in two-dimensional materials like graphene, with applications in next-generation electronic devices. Analysis of her recent publications (2024-2025) reveals a cohesive trend toward manipulating valley and spin currents via tailored light pulses in quantum materials. Her theoretical frameworks bridge computational modeling and experimental validation, advancing ultrafast magnetism and quantum transport research. As a Principal Investigator in TRR 227, she leads DFG-funded research and collaborates within Project B4 "Theory for Dynamics in Quantum Materials" at MBI, contributing to international efforts in spin dynamics and correlated matter systems.

• Algorithm development
• Data analytics
• Time-series data analysis
• +6 more

Emran Ali is a Graduate Researcher (Ph.D. candidate) and Part-Time Lecturer at Deakin University's School of Information Technology within the Faculty of Science, Engineering and Built Environment. He holds concurrent faculty appointments at Hajee Mohammad Danesh Science & Technology University (HSTU) in Bangladesh where he teaches computer science courses while on study leave. His academic journey includes a Master of Science (Research) in Information Technology from Deakin University (2022) and a Bachelor of Science in Computer Science and Engineering from HSTU. Doctor of Philosophy (Ph.D.) in Information Technology, Deakin University (2023–present) Doctor of Philosophy (Ph.D.) in Machine Learning, Coventry University (Cotutelle program, 2023–present) Master of Science (Research) in Information Technology, Deakin University (2020–2022) Bachelor of Science in Computer Science and Engineering, HSTU Bangladesh (2007–2012) Ali's research focuses on algorithm development and applied machine learning in health informatics, specializing in biosignal processing for neurological and sleep disorder detection. His work integrates time-series data analysis with explainable AI techniques to develop clinical decision support systems. Current projects include ML/DL modeling of sleep-stage transitions in aging populations and causal relationship analysis in sleep disorders using EEG data. Analysis of his 10 recent publications reveals strong concentration in biomedical ML applications (60%), particularly EEG-based neurological disorder detection and mental health diagnostics. Secondary focus areas include environmental monitoring systems (20%) and foundational computer science (20%). His work consistently employs ensemble methods and feature optimization techniques across diverse datasets, with increasing emphasis on real-world clinical applicability in recent publications. Deakin University Post-graduate Research Scholarship (DUPRS) through Cotutelle program with Coventry University National Fellowship from Bangladesh Ministry of Science and Technology (2020) Best Presentation Award at Deakin School of IT Conference (2021) AWS AI/ML Scholarships (2023, 2024) Next Generation Tech Booster Scholarship (2024) Ali provides research supervision at HSTU while serving as a Graduate Research Teaching Fellow at Deakin University for Machine Learning and Data Analytics units. His industry collaborations include projects with Monash University, Alfred Health, and AETMOS Australia focused on health informatics applications. Current funding includes AWS-sponsored nanodegrees and Deakin University research scholarships supporting his sleep disorder research. His technical work integrates cloud-based AI/ML platforms (AWS, Azure) with biosignal processing pipelines, utilizing collaborations across Australian healthcare institutions to validate clinical applications. Recent projects emphasize explainability in deep learning models for medical diagnostics, particularly in resource-constrained environments relevant to Bangladesh healthcare contexts.

• Wave Energy
• Offshore Engineering
• Hydrodynamics
• +3 more

V. Raghavan is a researcher in the Department of Offshore Engineering within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. His work focuses on renewable energy systems, particularly wave energy conversion and offshore structures, utilizing advanced computational hydrodynamics methods for marine applications. Raghavan's research spans Wave Energy, Offshore Engineering, Hydrodynamics, Renewable Energy, Ocean Structures, and Boundary Element Method. He develops and validates numerical models for wave energy converters, emphasizing practical implementation in marine renewable energy projects through open-source tools like HAMS-MREL. Recent 2025 publications reveal strong trends in wave energy converter array optimization using data-driven techniques, experimental validation of time-domain simulations, and hydrodynamic analysis of mixed energy farms. Key focus areas include boundary element method applications, power production estimation under varying wave spectra, and comparative evaluations of linear versus weakly nonlinear models for dense arrays. No scientific awards were documented in the available information. Information regarding student advising or research grants was not provided in the source material. Raghavan contributes to the Marine Renewable Energies Lab, where he co-developed the Hydrodynamic Analysis of Marine Structures (HAMS-MREL) open-source software platform. This tool supports offshore energy applications through boundary integral equation method solvers and is central to his research on wave energy converter validation and array configuration studies.

• Optical Engineering
• Biomedical Engineering
• Machine Learning
• +4 more

Demetri Psaltis is a **Professor honoraire** at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (STI) and the Department of Physics (PH-STI). He holds roles as **Chargé de cours** (Lecturer) across multiple departments including Microengineering (SMT-ENS), Electrical and Electronics Engineering (SEL-ENS), and serves as **Professeur hôte** (Host Professor) at the Laboratoire d'hémodynamique et de technologie cardiovasculaire (LHTC). His research focuses on advanced optical systems, biomedical imaging, nonlinear optics, and the integration of machine learning with optical technologies. Key affiliations include the Institute of Bioengineering (IBI-STI) and administrative roles in the IBI-STI-GE management unit. He has advised over 20 PhD students at EPFL, contributing significantly to their thesis work. His laboratories develop cutting-edge tools for applications in medical diagnostics, energy systems, and optical computing. Research interests span computational optical imaging, optical computing architectures, 3D printing with light, and AI-driven wavefront shaping. Recent publications emphasize innovations in hybrid neural networks, optical diffusion models, and scalable optical circuit switching. His work bridges fundamental physics with practical applications in healthcare and renewable energy sectors. Labs: Laboratoire d'hémodynamique et de technologie cardiovasculaire (LHTC), IBI-STI Institute Teaching:** Courses include Computational Optical Imaging, Optical Computing, and 3D Printing with Light.

Alexander BarnesView profile

Professor

• Magnetic Resonance
• Gyrotron Technology
• NMR Spectroscopy
• +3 more

Prof. Alexander Barnes is a Full Professor at the Department of Chemistry and Applied Biosciences and Head of the Institute of Molecular Physical Science at ETH Zürich. His research focuses on advanced magnetic resonance techniques, gyrotron technology, and biomolecular structural analysis. Key areas include high-power microwave source development for NMR applications, structural characterization of viral proteins (e.g., SARS-CoV-2), and cryogenic instrumentation for enhanced spectroscopy. Barnes has pioneered innovations in dynamic nuclear polarization (DNP) systems, frequency-agile gyrotrons, and miniaturized superconducting magnets. His work bridges fundamental physics with biomedical and materials science applications. Current projects address protein-membrane interactions, THz gyrotron design, and cryogenic NMR probe optimization. Barnes collaborates extensively with international research groups and industry partners to advance analytical instrumentation and disease-related molecular mechanisms. Publications reflect a sustained focus on experimental and computational methods for magnetic resonance, including breakthroughs in electron beam modeling, frequency-chirped DNP, and ultra-high-field magnet development. His engineering contributions include spherical rotor systems for magic-angle spinning and lightweight gyrotron cavities. Barnes also leads initiatives in solid-state NMR for drug discovery, particularly targeting protein kinase modulation in T-cells and viral assembly mechanisms.

Tuhin DasView profile

Professor

• Dynamics and Controls
• Energy Systems
• Robotics
• +4 more

Tuhin Das is a Professor of Mechanical and Aerospace Engineering at the University of Central Florida (UCF), where he has been since 2011. He holds a B.Tech from IIT Kharagpur (1997), and M.S. and Ph.D. from Michigan State University (2000, 2002). His research focuses on dynamics and controls applied to energy systems (fuel cells, wind energy), robotics (mobile/biomimetic systems), and sensing (compressive sensing). His work is funded by NSF, ONR, Siemens Energy, and ARPA-E. He is an ASME Fellow and co-founder of the Energy Systems Technical Committee. Education: Bachelor of Technology in Mechanical Engineering, Indian Institute of Technology, Kharagpur (1997) M.S. and Ph.D. in Mechanical Engineering, Michigan State University (2000, 2002) Research Interests: Energy systems (wind turbines, hybrid fuel cells) Nonlinear dynamics and control Robotics and mobile systems Advanced modeling/simulation techniques Phase-space kinematics and Hamiltonian systems Recent Work Trends: Recent publications emphasize offshore wind energy systems, floating platform dynamics, and advanced control strategies for energy systems. Experimental validation of models (e.g., tuned mass dampers for semisubmersible platforms) and theoretical advancements in system dynamics (Hamiltonian approaches) are prominent themes. Awards: UCF College of Engineering Excellence in Graduate Teaching Award (2016) ASME Fellow Inductee into Pi Tau Sigma (2009) Grants & Advising: Leading a $3.3M project for floating offshore wind turbine simulators Received $771K grant for offshore wind turbine simulation tools Active in mentoring graduate students in mechanical systems research Labs/Teams: Directs the Hybrid Sustainable Energy Systems Lab at UCF, focusing on interdisciplinary energy solutions and advanced control system development.

Siddhartha GhoshView profile

Assistant Professor

• Integrated Photonics
• Piezoelectric MEMS
• Acousto-Optic Signal Processing
• +3 more

Siddhartha Ghosh is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University. His research focuses on acousto-optic signal processing, integrated photonics, piezoelectric MEMS, and oscillator-based computing. He holds a PhD from Carnegie Mellon University (2015) and has worked at MIT Lincoln Laboratory (2015–2020). He leads the MAPS Laboratory and has received notable awards including the NSF CAREER Award (2024) and DARPA Young Faculty Award (2023). Education: BS, Cornell University (2007); MSE, University of Pennsylvania (2011); PhD, Carnegie Mellon University (2015). Research interests include nanofabrication, heterogeneous material integration, and novel microsystems for RF/optical signal processing. His work bridges electromagnetics, microsystems, and optoelectronics. Recent projects include the NSF-funded Semiconductor on Nitride PhoXonic Integrated Circuit (SONIC) platform and DARPA-supported opto-mechanical sensor development. Publications span topics like acoustic wave amplification in GaN heterostructures, coupled oscillator Ising machines, and lithium niobate integration with photonic circuits. His work aims to advance chip-scale signal processing and quantum computing applications. Awards: NSF CAREER (2024), DARPA Young Faculty (2023), and over 20 journal/conference publications. He advises PhD students like Jack Guida and collaborates on interdisciplinary grants. The MAPS Laboratory focuses on developing next-generation acoustic and photonic devices for defense and quantum technologies.

Gareth RobertsView profile

Senior Lecturer

• Geology
• Geophysics
• Geochemistry
• +4 more

Dr. Gareth Roberts is a Senior Lecturer in Earth Sciences at Imperial College London, part of the Faculty of Engineering's Department of Earth Science and Engineering. He holds visiting associate status at the California Institute of Technology. His research focuses on understanding Earth's dynamics from mantle processes to surface environments, integrating field data, computational techniques, and theoretical models. Roberts earned his PhD in Geophysics from the University of Cambridge (2006–2010) and BSc in Geology from Durham University (2003–2006). His work spans geology, geophysics, and environmental science, with emphasis on mantle dynamics, landscape evolution, and numerical modeling. Notable contributions include studies on mantle circulation models, stochastic landscape evolution, and geochemical mapping. Roberts has authored/co-authored over 50 peer-reviewed articles and serves on editorial boards for geoscience journals. He leads a research team exploring interdisciplinary approaches to Earth systems, collaborating with academic and industrial partners globally. Awards include the EAGE best paper award for his analysis of unconformities in Southwest Britain. Roberts teaches advanced earth science courses and has mentored numerous graduate students and postdoctoral researchers. His current projects investigate dynamic topography, sediment routing systems, and the impact of mantle processes on surface environments, supported by grants from UK Research and Innovation and the Natural Environment Research Council.

• Fluid Mechanics
• Turbulence
• Rotating Turbulence
• +3 more

Godeferd Fabien is a CNRS Researcher and former Head of the Turbulence and Instabilities team (2006-2015) at the Laboratory of Fluid Mechanics and Acoustics (UMR 5509) in Lyon, France. His research focuses on fluid mechanics, with emphasis on rotating and stratified turbulence, inertial wave dynamics, and geophysical fluid dynamics. He leads the Henri Bénard Center, an ERCOFTAC pilot center for fluid dynamics research. Research Interests: His work explores turbulent energy partitioning between waves and eddies in rotating systems, inertial wave focusing, and multiscale modeling of biological and geophysical flows. Recent studies include shock-like inertial wave focusing and vascular remodeling simulations under turbulent conditions. Publications: Recent work highlights inertial wave dynamics in rotating fluids, wave-eddy interactions in stratified turbulence, and computational models of intimal hyperplasia. These studies bridge fundamental fluid mechanics with applications in biomedical engineering and geophysics. Leadership: As team leader and center director, he coordinates large-scale numerical simulations and experimental facilities at LMFA, including high-performance computing resources and advanced flow measurement techniques (PIV, LDV, etc.). Labs & Teams: Active within the Turbulence & Instabilities team, collaborating with interdisciplinary groups on biofluid dynamics and plasma turbulence. Supports the lab’s partnerships with industries and academic institutions for applied research.

• Laser-Plasma Physics
• Quantum Electrodynamics
• High-Intensity Laser Experiments
• +3 more

Prof. Thomas Cowan is the Director of the Institute of Radiation Physics at the Helmholtz Center Dresden-Rossendorf (HZDR). His research focuses on high-intensity laser-matter interactions, quantum electrodynamics (QED) under extreme conditions, and plasma diagnostics. He leads projects involving ultra-short pulse lasers, vacuum birefringence experiments, and advanced X-ray scattering techniques. Key collaborations include the Helmholtz International Beamline for Extreme Fields (HIBEF) and the European XFEL facility. Research interests include laser-driven proton acceleration, solid-density plasma dynamics, and material behavior under megabar pressures. His work bridges fundamental physics with applications in radiobiology and advanced diagnostics. Notable projects involve developing spatio-temporal diagnostics for solid plasmas and exploring QED effects in strong electromagnetic fields. Publications highlight advancements in X-ray Thomson scattering, femtosecond temperature measurements, and vacuum birefringence experiments. His group uses facilities like the DiPOLE laser and ELBE radiation source to study ultrafast phenomena. Ongoing efforts focus on optimizing laser-driven proton beams for medical applications and improving the theoretical understanding of relativistic plasma interactions.

Tony LELIEVREView profile

Professor

• Applied Mathematics
• Multiscale Modeling
• Molecular Simulation
• +7 more

Tony Lelièvre is a Professor of Applied Mathematics at the Ecole Nationale des Ponts et Chaussées, part of the Institut Polytechnique de Paris. He holds a PhD (2004) and Habilitation (2009), specializing in multiscale modeling, molecular simulation, and stochastic processes. His research focuses on free energy computations, numerical analysis of complex fluids, and computational statistical physics. He co-authored two books and over 100 papers, receiving significant awards like the ERC Consolidator Grant (2013-2019) and the Grand prix Alcan. Lelièvre has organized numerous international workshops and serves on editorial boards of journals like ESAIM:M2AN and SIAM/ASA Journal of Uncertainty Quantification. His work bridges applied mathematics, numerical analysis, and computational science with applications in materials science and industrial fluid dynamics. Education: PhD in Applied Mathematics, 2004 Habilitation à Diriger des Recherches, 2009 Research Interests: Multiscale modeling of complex fluids Molecular dynamics and free energy calculations Stochastic methods for metastable systems Numerical analysis of PDEs and SDEs Computational statistical physics Recent Contributions: His work on adaptive biasing force methods and hybrid Monte Carlo techniques has advanced the simulation of rare events and free energy landscapes. He contributed to variance reduction techniques in molecular simulations and mathematical analysis of parallel replica algorithms. Awards: ERC Consolidator Grant (2013-2019), Prix CS 2002, Grand prix Alcan (2010), Ordway Visiting Professorship (2012-2013), and several teaching awards. Professional Activities: Organized major conferences like CEMRACS 2013 and IPAM Long Program on Energy Landscapes (2017). Co-edits journals and authored influential textbooks on magnetohydrodynamics and free energy computations.