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Louis-Pierre ChaintronView profile

Research Fellow

• Probability Theory
• Stochastic Processes
• Optimal Transport
• +12 more

Louis-Pierre Chaintron is a Research Fellow at the École Normale Supérieure de Paris (ENS-PSL), affiliated with the Department of Mathematics and Applications (ENS DMA). His work bridges probability theory, stochastic processes, and applied mathematics, with a focus on constrained measure-valued dynamics, stability analysis, and approximation methods. PhD supervised by Julien Reygner (CERMICS) and Philippe Moireau (Inria M3DISIM) from 2022–2024 Member of the Probability and Statistics research team at ENS DMA Teaching roles include assistant for PDE courses and organizer of applied mathematics workshops Research Interests : His research explores connections between mean-field theory , large deviations , and viscosity solutions for Hamilton-Jacobi equations. He investigates filtering theory in dynamic systems, optimal transport frameworks, and Schrödinger bridge problems for high-dimensional systems. Applications span diffusion models in machine learning, muscle contraction modeling , and non-linear estimation under constraints. Recent Publications analyze convergence rates in stochastic control, stability of Gibbs principles, and jump-diffusion formalisms for biological systems. His work often combines calculus of variations , stochastic control , and viscosity solutions to address stability and approximation challenges. Contact : Email: lchaintron@dma.ens.fr Office: Bureau C11, Espace Cartan, 45 Rue d'Ulm, Paris

• Renewable Energy Systems
• Photovoltaic Power Plants
• Energy Optimization
• +3 more

Ali DURUSU is a researcher at Yıldız Technical University, College of Engineering , with a focus on Renewable Energy Systems and Photovoltaic Power Plants . His work spans techno-economic modeling, energy optimization, and smart grid integration. Research Interests : Solar power plant design, grid integration, energy economics, MPPT algorithms, hybrid systems, and smart grid technologies Advisory : Has advised 25 theses on renewable energy topics Projects : Involved in 15 research initiatives Recent publications emphasize peer-to-peer energy trading, distributed storage, and optimization techniques. He has contributed to 80 WoS-indexed publications with significant citations (H-Index: 8 in WoS, 11 in Scopus) and participated in 43 peer-reviewed conferences.

Alexander ShapiroView profile

Professor

• Stochastic Programming
• Risk Analysis
• Simulation-Based Optimization
• +4 more

Alexander Shapiro is the A. Russell Chandler III Chair and Professor at the H. Milton Stewart School of Industrial and Systems Engineering , Georgia Institute of Technology. His work bridges optimization and statistics, focusing on stochastic programming, risk analysis, and simulation-based optimization. He has received numerous accolades, including the Khachiyan Prize (2013) , Dantzig Prize (2018) , and John von Neumann Theory Prize (2021) . Education: Ph.D. in Applied Mathematics-Statistics (Ben-Gurion University, 1981), M.Sc. in Mathematics (Moscow University, 1971) His research explores stochastic programming , risk-averse optimization , and multivariate statistical analysis , with recent work on distributionally robust control, Bayesian stochastic methods, and convex multistage optimization. Publications highlight theoretical advancements and computational frameworks for uncertainty modeling. Recent articles focus on asymptotics (2025), duality in MDPs (2023-2024), and statistical inference (2014-2024). These span stochastic control , robustness , and time consistency , reflecting his expertise in bridging probability theory with large-scale optimization. Scientific awards : Khachiyan Prize of INFORMS (2013) Dantzig Prize (2018) John von Neumann Theory Prize (2021) Election to National Academy of Engineering (2020) Dr. Shapiro has served as Area Editor (Optimization) for the Operations Research Journal and Editor-in-Chief of Mathematical Programming, Series A , demonstrating sustained leadership in his field.

Ye ZhaoView profile

Associate Professor

• Robotics
• Formal Methods
• Optimization
• +7 more

Dr. Ye Zhao is an Associate Professor and Woodruff Faculty Fellow at the Georgia Institute of Technology's Woodruff School of Mechanical Engineering, where he directs the Laboratory for Intelligent Decision and Autonomous Robots (LIDAR). He holds affiliations with the Institute for Robotics and Intelligent Machines, Machine Learning Center, and Supply Chain and Logistics Institute. Dr. Zhao received his Ph.D. from UT Austin (2016) and completed postdoctoral training at Harvard University. Research Focus: His work integrates planning, control, and learning for contact-rich robots, emphasizing computationally efficient algorithms with formal safety guarantees. Key research thrusts include: Reactive synthesis for terrain-adaptive locomotion and manipulation Vision-tactile perception for deformable object grasping Social navigation of bipedal robots in human environments Distributed optimization for multi-robot coordination His lab utilizes platforms including Mini Cheetah quadruped, Cassie biped, and custom manipulators. Publication Trends: Recent articles demonstrate a strong focus on bridging formal methods (temporal logic, reactive synthesis) with learning-based approaches (RL, transformers) to enhance robustness in locomotion and manipulation. Key themes include terrain adaptation, human-robot interaction, and real-time model predictive control. Awards & Honors: ONR Young Investigator (2023) NSF CAREER Award (2022) IEEE ICRA Best Automation Paper Finalist (2021) IEEE Senior Member (2022) Woodruff Faculty Research Award (2023) Educational Initiatives: Leads the Vertically Integrated Program (VIP) for Agile Locomotion & Manipulation, engaging 80+ undergraduates in robotics research. The team won 1st place in Georgia Tech's VIP Innovation Competition (2021, 2022).

Piotr KulikView profile

Assistant Professor

• Electrical Engineering
• Materials Science
• Nanofabrication of thin-film materials
• +2 more

Piotr Kulik is an Assistant Professor at the University of Central Florida (UCF) in the Department of Electrical and Computer Engineering within the College of Engineering and Computer Science. His research focuses on nanofabrication of thin-film materials, microsystems for sensing and communication, and multiphysics devices. Ph.D. in Electrical Engineering, Northeastern University (2020) Dr. Kulik’s research bridges advanced materials synthesis with microwave and MEMS device design. His work on magnetodielectric composites and ferrite thin films enables next-generation RF components for wireless systems. Current projects explore spatiotemporal modulation techniques to achieve magnetic-free non-reciprocal devices, reducing size and complexity in communication hardware. His recent publications emphasize broadband impedance tuning, miniaturized RF circulators, and zero-power wake-up receivers. These contributions leverage multiphysics modeling and nanofabrication to optimize microwave performance in magnetic-free topologies and composite materials. Scientific Awards Association of Old Crows, Nonprofit for Electronic Spectrum Management, Future 5 Award (2022) Experiential PhD Leadership Program (LEADERs Fellow), Gordon Institute of Engineering Leadership (2020) Dr. Kulik actively contributes to academic communities as an affiliate member of the IEEE Microwave Theory & Techniques Society (MTT-13) and serves as a reviewer for journals including IEEE Microwave and Wireless Components Letters and Thin Solid Films . He collaborates with teams in the AIMS Lab on microwave magnetics and system design challenges.

Anders LindquistView profile

Professor

• Mathematical systems theory
• Control theory
• Stochastic realization theory
• +3 more

Anders Lindquist is Zhiyuan Chair Professor at Shanghai Jiao Tong University and Emeritus Professor at KTH Royal Institute of Technology. He earned his PhD from KTH in 1972 and began his career as a postdoctoral fellow at the University of Florida under R.E. Kalman. His academic journey includes positions as Assistant Professor (University of Florida), Associate Professor (University of Kentucky and Brown University), and Full Professor (University of Kentucky and KTH). At KTH, he served as Head of Mathematics Department (2000-2009) and Director of the Center for Industrial and Applied Mathematics (2006-2016). His research focuses on: Mathematical systems theory and control theory Stochastic realization and estimation Spectral estimation methods Moment problems with complexity constraints Applications of operator theory His publications demonstrate consistent focus on mathematical foundations of control systems, stochastic processes, and optimization techniques, with recent work expanding into multidimensional applications and image processing. Major scientific honors include: IEEE Control Systems Award (2020) Reid Prize in Mathematics (2009) Axelby Outstanding Paper Award (2003) Fellowships: IEEE, SIAM, IFAC Memberships: Royal Swedish Academy of Engineering Sciences, Chinese Academy of Sciences He holds four U.S. patents and has served on editorial boards of leading journals including Philosophical Transactions of the Royal Society and SIAM Review.

Ivan Gitsov IvanovView profile

Professor

• Polymer Chemistry
• Green Chemistry
• Biocatalysis
• +5 more

Ivan Gitsov Ivanov is a Professor at the Department of Chemistry within the SUNY College of Environmental Science and Forestry , where he also serves as Director of the Michael M. Szwarc Polymer Research Institute . His research spans polymer chemistry and green synthesis methodologies, focusing on hybrid materials with biomedical and environmental applications. PhD in Polymer Chemistry (Bulgarian Academy of Sciences, 1986) Editorial roles: MDPI Polymers , Molecules , Current Organic Chemistry Research Interests include: Design of dendritic-linear hybrid polymers for drug delivery and nanoreactors Development of green chemistry through biocatalysis and solvent-free synthesis Creation of smart hydrogels for environmental cleanup and biomedical uses Exploration of polymer-assisted biocatalysis for enzymatic efficiency enhancement Advancement of polymer recycling via controlled degradation strategies Notable Awards : 2023-2024: Courtesy Associate Professor , Biomedical and Chemical Engineering, Syracuse University 2021-2022: Fulbright Scholar at University of Aveiro, Portugal 2017: SUNY Chancellor's Award for Excellence in Scholarship 2011: External Honorary Member , ETH Zurich Polymer Chemistry Group 1999: Cottrell Scholar (Research Corporation) Publications highlight trends in biocatalytic polymer synthesis , self-assembling amphiphilic systems , and green chemistry applications across biomedical and environmental domains.

• Quantum physics
• Quantum simulation
• Quantum computation
• +4 more

Yu He is a Researcher at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech) in Shenzhen, China, where he leads research on silicon-based quantum computing and quantum simulation. He joined SUSTech in March 2020 after international postdoctoral training. Education: Ph.D. in Physics, University of Science and Technology of China (2009-2015) B.S. in Atomic, Molecular and Optical Physics, University of Science and Technology of China (2005-2009) Research Focus: Dr. He specializes in semiconductor quantum technologies with emphasis on silicon-based atomic-scale devices, quantum simulation, and quantum networks. His work bridges experimental quantum optics, solid-state physics, and quantum information processing, particularly through quantum dot systems and dopant atoms in silicon for developing scalable quantum computing architectures. Publication Trends: His 27 publications demonstrate consistent focus on experimental quantum information science. Early work centered on high-purity single-photon sources using quantum dots. Recent breakthroughs include pioneering silicon-based quantum gates and quantum simulation platforms. Publications in Nature and Physical Review Letters frequently explore quantum measurement techniques, photonic quantum walks, and semiconductor qubit control. Awards and Honors: MIT Technology Review's 35 Under 35 Innovators (China) - 2020 Top Ten Quantum Computing Experiments in the World - 2019 Top Ten Scientific and Technological Advances in China - 2017 Laboratory Development: He directs a specialized quantum device laboratory at SUSTech developing STM-based nanofabrication and millikelvin measurement systems for silicon quantum processors. His team actively recruits postdoctoral researchers and engineers for projects in quantum dot manipulation, cryogenic electronics, and quantum chip design.

Harish GopalakrishnanView profile

Researcher

• Combustion Engineering
• Thermoacoustics
• Sustainable Energy
• +3 more

Dr. Harish Gopalakrishnan is a Researcher at Zurich University of Applied Sciences' School of Engineering, affiliated with the IEFE Distributed Thermal Energy Systems department. His work focuses on combustion dynamics, thermoacoustic stability, and sustainable energy systems, particularly for hydrogen-based and carbon-free fuels. Research Interests: Thermoacoustic stability analysis in combustion systems Hydrogen and sustainable aviation fuel combustion Flame dynamics and autoignition front propagation Reactor-network modeling for emissions prediction Hydrodynamic stability of swirl flows Publication Trends: His publications over the past seven years emphasize hydrogen combustion systems, intrinsic thermoacoustic instabilities, and modeling frameworks for sustainable fuel applications. Recent work explores transverse thermoacoustic mode prediction and flame response to velocity oscillations. Projects: He leads combustion research initiatives including "Combustion dynamics of spray flames operating on sustainable aviation fuels" and "Thermoacoustic analysis of hydrogen flames in micro/meso-scale combustion systems" , with ongoing collaborations at institutions like IIT Madras and ASME Turbo Expo. Labs & Teams: Dr. Gopalakrishnan contributes to the IEFE Distributed Thermal Energy Systems lab at ZHAW, focusing on advanced combustion technologies for aerospace and energy applications.

• Biostatistics
• Survival Analysis
• Pharmacoepidemiology
• +5 more

Michal Abrahamowicz, PhD is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and Professor in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University's Faculty of Medicine and Health Sciences. He is affiliated with the Cardiovascular Health Across the Lifespan Program and the Centre for Outcomes Research and Evaluation (CORE) at RI-MUHC. His research focuses on developing innovative statistical methodologies for clinical and biomedical data analysis, particularly in survival analysis. Key areas include modeling time-varying and cumulative effects of risk factors and treatments, and addressing biases in observational studies. He co-founded and co-chairs the international STRATOS initiative (www.stratos-initiative.org), involving over 100 statisticians from 18 countries, aimed at improving analyses of observational studies. From 2011-2019, he served as Principal Investigator of the CAN-AIM network, funded by the Canadian Institutes for Health Research, which brought together over 45 faculty members from 12 Canadian universities for drug safety and effectiveness research. His recent publications demonstrate a strong focus on methodological advances in biostatistics, particularly in survival analysis, causal inference, and flexible modeling techniques. His work spans applications in cardiovascular diseases, cancer epidemiology, pharmacoepidemiology, and arthritis research, with an increasing emphasis on practical implementation of statistical methods in clinical research. Abrahamowicz leads major collaborative research initiatives including large clinical trials and longitudinal population-based studies. His research methodology work directly informs applications in real-world clinical and epidemiological studies, creating a strong bridge between theoretical statistics and practical healthcare research.

• Artificial Intelligence
• Smart and Service Industry
• Mobility and Transport
• +5 more

Marco Schutten is an Associate Professor at the Digital Society Institute of the University of Twente, affiliated with the Industrial Engineering & Business Information Systems department. His work bridges Artificial Intelligence , Transportation , and Operations Research , focusing on optimizing complex systems. Expert in Urban Logistics and Freight Transport Specializes in Mathematical Programming and Optimization Research interests include Vehicle Routing , Machine Scheduling , and Agent-Based Simulation . Key trends in his 15 most recent articles (2015–2025) involve: Dynamic scheduling under time constraints Urban logistics and smart city applications Heuristics for combinatorial optimization Integration of MILP and Simulation models No scientific awards, formal supervisory roles, or part-time appointments are explicitly mentioned.

Jean AuriolView profile

Researcher

• PDEs
• Control Theory
• Robustness
• +2 more

Jean Auriol is a researcher affiliated with the Signals and Systems Laboratory , focusing on advanced control theory and partial differential equations (PDEs). His work spans robustness, hyperbolic systems, and infinite-dimensional systems, often addressing real-world applications in engineering and physics. Research Interests: PDEs and Control Theory Robustness in Dynamical Systems Hyperbolic Systems and Networked Control Stochastic and Delayed Systems Recent Publications: Stability analysis of triangular hyperbolic systems Smart traffic management for autonomous vehicles Stochastic hyperbolic PDE stabilization Minimum time control of coupled PDEs Neural network-based parameter estimation for drilling systems

Hakan KorogluView profile

Assistant Professor

• Control Systems
• Mechatronics
• Computer Science
• +7 more

Hakan Köroğlu is an Assistant Professor at the University of Twente , affiliated with the Faculty of Engineering Technology and the Control and Mechatronics group within the Mechanics of Solids, Surfaces & Systems department. He holds a Ph.D. in Electrical and Electronics Engineering from Bilkent University (2001) and has held academic and research positions at Delft University of Technology, Eindhoven University of Technology, King Fahd University of Petroleum and Minerals, and Chalmers University of Technology. B.Sc. , M.Sc., and Ph.D. from Bilkent University Postdoctoral Research Associate at Delft University of Technology (2004-2009) Researcher at Eindhoven University of Technology (2009-2011) and King Fahd University (2011-2012) Researcher and Teacher at Chalmers University (2013-2017) His research focuses on Control Systems , particularly in nonlinear systems and time-delay systems , with applications in adaptive control, observer design, and stability analysis. His work has explored robust control, feedforward controllers, and backstepping methods for systems with time-varying delays. Recent trends in his publications emphasize Lyapunov-based stability analysis , adaptive observers , and control algorithms for systems with time delays. His articles highlight interdisciplinary applications in control theory and engineering, particularly in compensating delays in dynamic systems. As part of the Digital Society Institute at the University of Twente, he contributes to research on control systems and mechatronics. His collaborations include industry projects with ASML, focusing on lithographic process control .

Nathan BrooksView profile

Assistant Professor

• Power Electronics
• Power Converter Design
• Passive Components Characterization
• +3 more

Nathan Brooks serves as an Assistant Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology, where his research and teaching focus on advancing power electronics systems through innovative converter design and component optimization. Education: PhD, University of California, Berkeley, 2023 MS, University of Illinois at Urbana-Champaign, 2018 BS, Rose-Hulman Institute of Technology, 2016 His research centers on hybrid switched-capacitor power converters , passive component characterization , and power factor correction , targeting reductions in size and weight for high-density power systems. This work addresses critical challenges in electric vehicle technology and renewable energy integration by optimizing capacitor and inductor performance in converter topologies. Recent publications demonstrate consistent contributions to IEEE Transactions on Power Electronics (2024), exploring scaling trends for passive components, DC-link capacitor design, and resonant converter analysis. These works establish methodological frameworks for component sizing and stress analysis in next-generation power systems. Teaching expertise spans Power Electronics, Circuit Modeling and Dynamics, Linear Control Theory, Electric Machines, Introductory Circuit Theory, and Electric Vehicle Technology, emphasizing hands-on design principles and real-world applications in electrical engineering education.

Wan FokkinkView profile

Professor

• Distributed Systems
• Formal Analysis of Protocols
• Concurrency Theory
• +3 more

Prof. Wan Fokkink is a Full Professor in Theoretical Computer Science at Vrije Universiteit Amsterdam (VU) and holds a part-time position as Professor of Model-Based System Engineering at Eindhoven University of Technology (TU/e). His research focuses on distributed systems, formal analysis of protocols, and supervisory control synthesis. He leads the Theoretical Computer Science group at VU and has authored three influential textbooks: Introduction to Process Algebra , Modelling Distributed Systems , and Distributed Algorithms: An Intuitive Approach . Education: MSc in Mathematics (University of Amsterdam, 1990) and PhD in Computer Science (University of Amsterdam, 1994). Postdoctoral work at Utrecht University and lectureship at Swansea University preceded his leadership roles at CWI (2001–2004) and VU (since 2004). Teaching includes courses on logic, concurrency, and distributed algorithms. He is editor of Logical Methods in Computer Science and co-founder of the Electronic Proceedings in Theoretical Computer Science . Active in professional organizations: co-founder of IFIP WG 1.8 (Concurrency Theory) and steering committee member of the CONCUR conference. Research interests span formal verification, concurrency theory, and practical applications of supervisory control in engineering systems (e.g., traffic management, ship locks). His work aligns with sustainable development goals through contributions to reliable system design and optimization. Recent articles explore model-based specification, distributed control under communication delays, and tools like Eclipse ESCET for supervisory control synthesis. Collaborations span international teams in Europe and beyond.