Multi-Scale Simulation Professors and Supervisors | ApplySharif

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Koen Van DamView profile

Research Fellow

Imperial College LondonUnited Kingdom

Koen Van Dam is a Research Fellow at Imperial College London's Department of Chemical Engineering, part of the Urban Energy Systems group within the Faculty of Engineering. His work focuses on agent-based modelling of socio-technical systems to support decision-making in urban energy and transport infrastructure design. He leads the SEF05 Urban Energy Systems module in the Sustainable Energy Futures MSc program and co-organizes computational social science summer schools. Koen has held visiting researcher positions at the National University of Singapore and TU Delft, and previously served as president of Eurodoc (European council for doctoral candidates). Education: MSc in Artificial Intelligence (Vrije Universiteit Amsterdam), PhD from TU Delft (2009) with thesis on agent-based modelling of socio-technical systems. Research interests emphasize integrating spatial/temporal data across energy and transport sectors to model urban systems at multiple scales. Projects include: FCDO Climate Compatible Growth (CCG) project COP26 Rapid Response Facility technical lead EPSRC-funded Digital City Exchange (DCE) and IDLES projects resilience.io (DFID project) Key contributions include decision support tools for: Electric vehicle infrastructure planning Low-carbon energy systems Smart district design Post-pandemic urban resilience Awards: None explicitly listed, though his extensive project leadership indicates recognition in sustainability research. Advising: Supervised over 40 MSc/MEng projects on smart cities, energy demand, EVs, bioenergy, and resilient infrastructure. Active in education through master's course leadership and international summer schools. Labs/Teams: Affiliated with Energy Futures Lab, Network of Excellence in Air Quality, and the Artificial Intelligence Climate Compatible Growth initiative.

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Georg SperlView profile

Researcher

Institute of Science and Technology AustriaAustria

Georg Sperl is a research scientist at CLO Virtual Fashion . He holds a PhD in physics-based simulation from the Institute of Science and Technology Austria (IST Austria) , where he was supervised by Chris Wojtan . His research focuses on physics-based animation of natural phenomena like cloth, yarns, granular media, and fluids, emphasizing multi-scale simulation techniques. Education: BSc and MSc in Visual Computing from the Technical University of Vienna , followed by a PhD at IST Austria. His work bridges computational mechanics and visual detail through methods like numerical homogenization. Notable achievements include the SIGGRAPH Outstanding Doctoral Dissertation Award (Honorable Mention) and the Eurographics PhD Award . His research has advanced yarn-level cloth simulation, thin-shell mechanics, and inverse modeling of fabric properties. Prior to his current role, he contributed to projects like iCaRL in computer vision.

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Thierry DuvalView profile

Professor

IMT AtlantiqueFrance

Thierry Duval is a Professor in the Department of Computer Science (INFO) at IMT Atlantique , Brest campus. His work focuses on Virtual Reality (VR) , Human-Computer Interaction (HCI) , and 3D Interaction in collaborative environments.

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Socrates DokosView profile

Associate Professor

University of New South WalesAustralia

Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712

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Fred SchauerView profile

Associate Professor

Air Force Institute of TechnologyUnited States

Fred Schauer is an Associate Professor in the Department of Aeronautics and Astronautics at the Air Force Institute of Technology (AFIT), part of Air University at Wright-Patterson Air Force Base, Ohio. He is a leading researcher in propulsion systems, particularly in the development and analysis of detonation-based engines such as pulsed and rotating detonation engines. His work integrates experimental testing, thermodynamic modeling, and advanced diagnostics to advance aerospace propulsion technologies. His educational background includes: BS in Mechanical Engineering, University of Dayton, 1993 Ph.D. in Mechanical Engineering, University of Illinois at Urbana-Champaign, 1998 Air War College, 2008 Dr. Schauer's research focuses on energy, propulsion, and power, with special emphasis on novel thermodynamic cycles, detonation dynamics, laser diagnostics, and flame-turbulence interactions. His work has significantly contributed to understanding and optimizing rotating and pulsed detonation engines, including performance scaling, nozzle integration, and fuel injection strategies. He has explored both conventional and bio-derived fuels to enhance efficiency and sustainability in small-scale propulsion systems. The 15 most recent publications reflect a strong trend toward experimental validation of rotating detonation engines, thermodynamic modeling, and performance optimization. These works span high-speed propulsion, combustion stability, and integration with turbines and ejectors. Keywords across these articles include aerospace engineering, propulsion, combustion, and mechanical systems, with subfields such as rotating detonation, pulsed detonation, nozzle dynamics, fuel efficiency, and thermodynamic modeling. His scientific achievements have been widely recognized: AFRL Commander’s Cup and Innovation Award Two-time winner of the AFRL Science & Technology Achievement Award ASME Airbreathing Propulsion Award Finalist for the Collier Trophy Finalist for Aviation Laureate AFRL Fellow Air Force Scientist of the Year AIAA Engineer of the Year Dr. Schauer has served as a research advisor for numerous M.S. and Ph.D. students and maintains active collaborations with AFRL, NASA, DOE, and academic institutions. His research group has published extensively and led major projects, including the AFRL in-house detonation propulsion research program from 1997 to 2019. He previously led the Propulsion and Power Advanced Concepts Group, which operated the Detonation Engine Research Facility and the Small Engine Research Laboratory, driving innovation in next-generation propulsion systems. His research labs and teams include the Detonation Engine Research Facility and the Small Engine Research Laboratory, where experimental and computational studies on advanced propulsion concepts are conducted. These facilities support high-pressure, high-speed combustion research and enable the development of practical applications for military and aerospace platforms.

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Dimitrios V. SiskosView profile

Assistant Professor

Embry-Riddle Aeronautical UniversityUnited States

Dimitrios V. Siskos is an Assistant Professor of Finance at the Department of Business Administration, College of Business, Embry-Riddle Aeronautical University (Worldwide Campus). He holds a Doctorate in Finance from the Swiss Management Center, a Master of Science in Project Management from City University of Seattle, and a Bachelor’s in Accounting from Alexander Technological Educational Institution of Thessaloniki. With over two decades of industry experience in finance and accounting, he brings practical insights into his academic work. His research interests span finance, accounting, business administration, project management, and aviation economics . He specializes in financial statement analysis, risk evaluation, investment decision-making, and business venture assessments. His recent publications focus on airport privatization, seaplane transport networks, and financial distress in projects, reflecting a strong interdisciplinary approach combining finance with aviation and public policy. The analysis of his 15 most recent publications reveals a consistent focus on applied finance in real-world contexts—particularly in aviation infrastructure, project evaluation, and financial regulation. His work integrates quantitative methods, risk assessment frameworks, and strategic decision models, often applied to public sector or large-scale projects. Themes such as PESTLE analysis, privatization, Basel III, and performance measurement systems highlight his engagement with both macroeconomic policy and micro-level financial decision tools. Greek Network of Project Management (IPMA), Scholarship to attend and present Paper to the IPMA World Congress 2007, Cracow, Poland Dimitrios Siskos has taught courses including Corporate Finance, Investments, International Finance, and Airport Administration & Finance. He has served as a financial advisor for a team bidding to consolidate the Caribbean aviation industry, preparing consolidated financial statements under the project titled "Unlocking the Aviation Potential in the Caribbean." He has not received externally mentioned grants, but his research output is substantial and disseminated through SSRN, journals, and conferences. He is actively involved in curriculum development and professional training. He maintains an active research presence through his personal website thinkingfinance.info , where he publishes papers, books, teaching materials, and commentary on financial topics. He also contributes to platforms like SSRN, Google Scholar, and ResearchGate, enhancing academic outreach and knowledge dissemination.

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Jorge Manuel M. C. Pereira BatistaView profile

Associate Professor

University of CoimbraPortugal

Jorge Manuel M. C. Pereira Batista is an Associate Professor at the Department of Electrical and Computer Engineering , University of Coimbra, Portugal. He serves as a senior researcher at the Institute for Systems and Robotics (ISR-UC) and leads the Computer Vision Group. His career spans academic roles, research coordination, and industry collaboration. Academic Affiliation: University of Coimbra (Electrical & Computer Engineering Department) Research Institute: Institute for Systems and Robotics (ISR-UC) His research focuses on Computer Vision , Pattern Recognition , and applications of Differential Geometry in these fields. Key subdomains include facial analysis, visual surveillance, real-time vision systems, and machine learning integration. From 2010–2023, his recent publications highlight advancements in probabilistic models , transformer architectures , multi-branch learning , and biomimetic robotics . He has coordinated multiple funded projects such as: STORK : Avian protection systems NeuroCity : Intelligent street lighting 4D Facial Dynamics : Identity recognition iTRAFFIC : BRISA highway traffic monitoring His work bridges theoretical innovation (e.g., Riemannian manifold applications) with practical deployments in transportation, energy, and healthcare sectors.

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Andrea TosinView profile

Professor

Polytechnic University of TurinItaly

Andrea Tosin is a Full Professor of Mathematical Physics at the Department of Mathematical Sciences "G. L. Lagrange" (DISMA), Politecnico di Torino. He serves as Coordinator of the Doctoral College of Mathematical Sciences and Deputy Coordinator of the Doctoral College of Pure and Applied Mathematics. His research bridges kinetic theory, transport equations, and applied mathematics with applications in multi-agent systems, traffic, social dynamics, and epidemiology. His research interests focus on: Kinetic theory and its applications to real-world systems Transport and diffusion equations in complex environments Modeling of vehicular traffic, crowd dynamics, and social behavior Epidemiological modeling with a focus on viral load and multi-scale dynamics Mathematical modeling of collective behavior in biological and social systems His recent publications demonstrate a consistent trend in developing and analyzing kinetic models for traffic flow, opinion dynamics, and epidemic spread, often incorporating uncertainty, network structures, and multi-population interactions. These works frequently involve rigorous mathematical derivations from microscopic models to macroscopic equations, with applications in safety, public health, and urban planning. His scientific awards include: SIMAI Biennial Award (2013) INDAM-SIMAI Award (2010) He actively supervises PhD students and postdoctoral researchers, including Martina Fraia, Emanuele Bernardi, Elisa Paparelli, and Mattia Sensi. He has secured significant research grants from national (PRIN, INdAM) and institutional (Politecnico di Torino, Google) sources. His research is supported by projects such as IMASED (Integrated Mathematical Approaches to Socio-Epidemiological Dynamics) and ANATOMY (A Unitary Mathematical Framework for Modelling Muscular Dystrophies). He also leads the "Modelli e Metodi della Fisica Matematica" research group at DISMA.

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Andrea TeglioView profile

Associate Professor

Ca' Foscari University of VeniceItaly

Andrea Teglio is an Associate Professor in the Department of Economics at Ca' Foscari University of Venice. He specializes in macroeconomic policy analysis using agent-based computational models, focusing on topics such as financial instability, energy transitions, and systemic risk. His research integrates interdisciplinary approaches to simulate complex economic systems, including interbank networks, fiscal policies, and digital transformation impacts. Teglio supervises master's and bachelor's theses on macroeconomic topics and agent-based modeling, contributing to the Research Institute for Complexity Communications. His work emphasizes policy design through agent-based frameworks to address contemporary challenges like sustainability and financial resilience. Key research interests include agent-based macroeconomics, policy mix strategies for energy transitions, and the analysis of inequality and output gaps through disaggregated models. He has published extensively in journals such as Energy Policy , Journal of Economic Interaction and Coordination , and Ecological Economics , often collaborating with institutions like EURACE and SYMPHONY projects. His contributions span theoretical modeling, experimental economics, and computational simulations to understand macroeconomic phenomena and policy implications. His teaching includes courses on macroeconomics and computational methods, reflecting his commitment to bridging theory and practice. Teglio’s work highlights the role of agent-based models in predicting systemic risks, evaluating fiscal measures, and designing resilient economic frameworks.

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Charles HoltView profile

Professor

University of VirginiaUnited States

Charles Holt is the A. Willis Robertson Professor of Political Economy at the University of Virginia's Department of Economics and Director of the Veconlab. His work bridges experimental economics , game theory , and economic education , with a focus on quantal response equilibrium (QRE), asset market bubbles , and belief/risk elicitation methods. He co-founded the journal Experimental Economics and has advised students like Ricky Sahu and Angela Smith on award-winning research. Education: BA, Washington & Lee University MS, PhD, Carnegie Mellon University Holt’s research demonstrates how stochastic decision-making in QRE explains systematic deviations from Nash equilibrium across social dilemmas, auctions, and voting games. His experimental auction designs for institutions like the FCC and Regional Greenhouse Gas Initiative have informed real-world policy. He also pioneered the Holt-Laury measure of risk aversion and the Veconlab software , used by 15,000 students monthly. Scientific awards include the 2023 AEA Distinguished Economic Education Award , the 2018 UVA Thomas Jefferson Award , and the 2008 SEA Kenneth Elzinga Teaching Award .

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Shaowei WangView profile

Professor

Shandong UniversityChina

Shaowei Wang is a Professor in the Department of Engineering Mechanics at the School of Civil Engineering, Shandong University, China. He holds a Ph.D. in Mathematics (2007) from Shandong University and completed post-doctoral research in fluid mechanics (2009) at Peking University. His research focuses on heat and mass transfer in porous media , fluid mechanics , and mathematical methods in mechanics . His recent publications highlight advancements in electro-osmotic flows, oscillatory non-Newtonian fluid dynamics, and stability analysis of bioconvection in porous media. Key themes include modeling viscoelastic fluids (Oldroyd-B, Maxwell), fractional calculus applications, and microchannel transport phenomena. First Prize in Natural Science of the Ministry of Education (2015) Second Prize of Natural Science Award of Shandong Province (2015) Du Qinghua Young Scholar Award (2016) Wang serves as Director of Shandong Society of Mechanics and editorial board member of multiple journals. His work bridges theoretical fluid dynamics with practical applications in microfluidics and geophysical systems.

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Christopher WolfeView profile

Associate Professor

Stony Brook UniversityUnited States

Christopher Wolfe is an Associate Professor of Marine Science at the School of Marine and Atmospheric Sciences (SoMAS) at Stony Brook University. He conducts research on physical oceanography, focusing on large-scale ocean circulation, overturning dynamics, and mesoscale eddy interactions. Education: Ph.D. in Physical Oceanography (2006), Oregon State University M.S. in Physics (2000), Indiana University B.S. in Physics and Mathematics (1999), Evergreen State College His research integrates theoretical frameworks, idealized numerical models, and realistic ocean circulation simulations to study the ocean’s role in climate systems. Key areas include overturning circulation stability, buoyancy-driven currents, and predictability of geophysical flows. Recent publications highlight his work on interannual variability in the Indian Ocean, salt feedback mechanisms, and multi-scale instabilities. He advises Ph.D. and postdoctoral researchers in the Pitt Wolfe group , which has produced alumni now working at institutions such as NOAA and the Ocean University of China. Scientific Affiliations: Active in computational oceanography and nonlinear dynamics Collaborator with P. Cessi, R. M. Samelson, and others

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Kevin GriffinView profile

Researcher

National Renewable Energy LaboratoryUnited States

Kevin Griffin is a Researcher III in Computational Science at the National Renewable Energy Laboratory (NREL). His work focuses on integrating advanced computational techniques with energy systems research. Bachelor of Mechanical and Aerospace Engineering, Princeton University PhD in Mechanical Engineering, Stanford University Master of Mechanical Engineering, Stanford University Griffin's primary research interests include multi-fidelity simulation , neuromorphic computing , and energy-efficient computing . He specializes in computational fluid dynamics and turbulence modeling for energy applications, particularly wind energy systems. His recent publications emphasize adaptive computing frameworks for scale-up problems, pressure-gradient sensors for turbulence prediction, and boundary layer modeling extensions. These works span computational methods, uncertainty management, and energy systems design. Gerald J. Lieberman Fellowship (2022) National Defense Science and Engineering Graduate Fellowship (2017) NREL Key Contributor Award (2023) NREL Outstanding Mentor Award (2024) Stanford Graduate Fellowship (2017) Griffin contributes to collaborative networks like the American Physical Society, Sigma Xi, and Tau Beta Pi, advancing turbulence modeling and computational efficiency in energy applications.

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Tillman WeydeView profile

Academic

City, University of LondonUnited Kingdom

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

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Elena D'OnghiaView profile

Associate Professor

University of Wisconsin-MadisonUnited States

Elena D'Onghia is an Associate Professor in the Department of Astronomy at the University of Wisconsin-Madison. Her research focuses on unraveling the dynamical processes that shape the stellar structure of the Milky Way and nearby galaxies using analytical models and high-resolution numerical simulations. She leverages data from the GAIA satellite to study galactic evolution, emphasizing the importance of understanding our cosmic environment beyond the Solar System. University: University of Wisconsin-Madison Department: Astronomy Contact: edonghia@astro.wisc.edu | 4504 Sterling Hall Research Interests D'Onghia's work spans galactic dynamics, stellar structure formation, and interstellar medium processes. She investigates how gravitational interactions, stellar bars, and supernova-driven outflows influence galactic morphology. Her studies often integrate multi-wavelength observations with cosmological simulations to trace the evolution of galaxies like the Milky Way and Magellanic Cloud analogs. Recent Publications Her recent articles highlight galactic disk corrugations, starburst outflows in the LMC, and the role of classical bulges in shaping stellar bars. Collaborative projects include the Sloan Digital Sky Survey and ALMA-based studies of high-redshift galaxies. Scientific Awards 2018-2020 Vilas Associate Professor Research Fellow 2013-2017 Alfred P. Sloan Research Fellow 2013 Kavli Fellow Frontiers of Science 2009-2012 Keck Fellowship (Harvard) 2005-2006 Max-Planck Research Fellowship

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