Mohit Singh is the Coca-Cola Foundation Professor at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. He previously held positions at Microsoft Research (2011-2016) and as an Assistant Professor at McGill University (2010-2012). PhD in Algorithms, Combinatorics, and Optimization (ACO) at Carnegie Mellon University His research focuses on discrete optimization , approximation algorithms , and convex optimization , with applications to combinatorial optimization, submodular functions, and network design. He has contributed to topics like Sticky Brownian Rounding, integrality gaps, and online adaptive algorithms. His recent work includes theoretical advancements in matroid constraints, dimensionality reduction, and submodular maximization. He has published extensively in top conferences such as FOCS, SODA, ICML, and NeurIPS. He has been recognized with the Coca-Cola Foundation Professorship and served as Director of the Algorithms and Randomness Center at Georgia Tech (2019-2023). He has also held editorial roles and organized key academic workshops like the Bellairs Workshop on Approximation Algorithms (2011). His teaching includes advanced courses on approximation algorithms, combinatorial optimization, and linear inequalities. He has collaborated with institutions such as Microsoft Research and McGill University.
Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.
Dmitry Murzin is a Professor at the Faculty of Science and Engineering, Åbo Akademi University, leading the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future. His expertise focuses on catalysis, reaction engineering, and sustainable chemical processes. Key projects include the Flexible Clean Propulsion Technologies (Business Finland, 2024–2027) and Rebuilding Education and Research in Chemistry and Chemical Technology in Ukraine (Ministry/Government Agency, 2023–2025). Research interests span catalyst development for methane reforming, biomass valorization, and sustainable fuel production. Notable contributions include studies on heterogeneous catalysis, zeolite-based composites, and reactor technology optimization. Recent work emphasizes eco-friendly processes for converting biomass into high-value chemicals. Over 698 publications and 2 active projects highlight his prolific output in catalytic reaction engineering. Collaborations span global institutions, addressing challenges in energy, environment, and materials science. Advising 2 students, he also hosts academic visitors to advance collaborative research. Labs/Teams: Directly leads the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future , fostering innovation in sustainable chemical processes.
Elina Rönnberg is a Professor and Deputy Head of Department at the Department of Mathematics, Linköping University, where she leads research in discrete optimisation and intelligent decision-making. Her work bridges theoretical method development and real-world applications in sectors such as healthcare, aviation, mining, and transportation. She is actively involved in the Wallenberg AI, Autonomous Systems and Software Program (WASP) and has collaborated with industry leaders like Saab and Scania. Her research focuses on advanced optimisation techniques including Dantzig-Wolfe decomposition, Lagrangian relaxation, column generation, branch-and-price, and logic-based Benders decomposition. She also explores hybrid methods combining mathematical programming with constraint programming and machine learning. Applications span nurse rostering, electric vehicle routing, aircraft arrival scheduling, and underground mine planning. Recent publications highlight a strong trend toward integrating AI and machine learning—particularly graph neural networks—with classical optimisation frameworks to accelerate solution methods. Her work emphasizes practical impact, robustness, and scalability in solving complex scheduling and resource allocation problems. Nurse Rostering with Strategic Planning of Skills for Sick-Leave Robustness (2024) Pricing for the EVRPTW with Piecewise Linear Charging (2024) Speeding Up Logic-Based Benders Decomposition with Graph Neural Networks (2024) Elina supervises several PhD students and has co-supervised doctoral research at international institutions including Makarere University (Uganda) and the University of Exeter (UK). She has contributed to applied projects through student theses in collaboration with Scania and Saab, focusing on electric vehicle routing and search-and-rescue optimisation. She previously served as a Specialist in Optimisation at Saab Aeronautics (2014–2020) and co-founded Schemagi, a scheduling tool aimed at improving quality in healthcare. She teaches courses such as Introduction to Optimization (TAOP07) and Project - Applied Mathematics (TATA62). Her research group, 'Mathematics and algorithms for intelligent decision-making,' operates within the Division of Applied Mathematics (TIMA) at the Department of Mathematics. The team develops decision support tools that enhance efficiency and sustainability in complex systems, particularly under the growing demands of electrification and digitalisation in transport and logistics.
Jim Geelen is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo, Faculty of Mathematics. His research focuses on matroid theory, particularly the Matroid Minors Project, which extends the Graph Minors Theory of Robertson and Seymour to matroids. Notably, he, Bert Gerards, and Geoff Whittle proved Rota's Conjecture, characterizing matroids representable over finite fields. His work also addresses extremal matroid theory, growth rates of minor-closed classes, and algorithmic applications. He has advised doctoral students including Kerri Webb, Tony Huynh, Peter Nelson, Rohan Kapadia, and Benson Joeris. Geelen teaches advanced courses like CO749 on Graph Minors, offering video lectures. His research collaborations span matroid minors, excluded minors, and representation theory, with contributions to fields like combinatorics, Ramsey theory, and geometric density theorems. His recent work explores the Erdős-Posa property in matroids, density Hales-Jewett theorems, and the structure of exponentially dense matroid classes. Geelen's publications include foundational papers on matroid connectivity, branch-width, and inequivalent representations, reflecting his deep engagement with foundational and applied aspects of combinatorial mathematics.
Gavin Craig is Senior Lecturer in the Department of Pure and Applied Chemistry at the University of Strathclyde, where he leads an independent research programme on porous molecules, mechanochemistry and materials fabrication. He joined Strathclyde in 2019 as Chancellor’s Fellow, was promoted to Senior Lecturer in 2023, and currently supervises two post-docs and a PhD student while accepting new doctoral researchers. Education & Career: PhD Inorganic Chemistry, University of Barcelona, 2013 – spin-crossover materials Post-doc University of Glasgow 2013-2016 – high-pressure crystallography & molecular magnetism JSPS Fellow & Assistant Professor, Kyoto University 2016-2019 – porous molecules for gas storage Research Interests: His group combines coordination chemistry and supramolecular design to create metal–organic cages and polyhedra that act as selective gas sponges or stimuli-responsive gels. Using mechanochemistry, 3-D electron diffraction and high-pressure crystallography he interrogates how self-assembly and external stimuli modulate porosity, with direct relevance to CO₂ capture, carbon-monoxide delivery and membrane technologies. Funding & Impact: Craig is Principal Investigator on two active Leverhulme Trust grants (£500k+) investigating cooperative gas uptake in adaptable cages and sustainable porous membranes. Work contributes to UN SDGs on Affordable & Clean Energy and Climate Action. Awards & Recognition: Strathclyde Medal – Team Award 2022 Advising & Collaboration: He has successfully graduated one PhD student (Dr Beatriz Doñagueda) and one PDRA (Dr Valentyna Slyusarchuk) and currently mentors Dr Emma Regincos Marti (PDRA), Dr Matthew Snelgrove (PDRA) and Megan Wilkinson (PhD). He maintains active international collaborations across UK, Spain, Japan and Italy evidenced by 58 publications and 20 invited seminars/examinations.
Prof. Michael Krivelevich holds the Baumritter Chair in Combinatorics at the School of Mathematical Sciences, Tel Aviv University. His research focuses on probabilistic methods in combinatorics, random graphs, and positional games. He has authored influential books such as Positional Games and contributed to foundational work in random graph theory. Currently teaching Introduction to Combinatorics and Graph Theory (Spring 2025), he has extensive experience in courses like Graph Theory and Hypergraph Coloring. His work bridges theoretical computer science, coding theory, and combinatorics, with over 150 publications. Recent research explores game-theoretic thresholds, random graph evolution, and equitable coloring algorithms. Education: Ph.D. in Mathematics, Tel Aviv University (not explicitly stated, inferred from career trajectory). Research Interests Krivelevich's work emphasizes random structures , extremal graph theory , and probabilistic combinatorics . He investigates phase transitions in random graphs, positional game strategies, and algorithmic challenges in graph coloring. His contributions include proving sharp thresholds for Hamilton cycle games and analyzing WalkSAT performance on smoothed k-CNF formulas. Collaborations span theoretical computer science and discrete mathematics. Publications Recent articles address Hamiltonicity in Maker-Breaker games, equitable coloring of random graphs, and smoothed analysis of satisfiability processes. His work often combines rigorous proofs with algorithmic insights. Teaching & Mentorship Guides students through advanced combinatorial topics and has taught foundational courses since 2002. No explicit student listings available in provided texts.
Pedro Carlos De Barros Fernandes is an Associate Professor at Universidade Lusófona , Deputy Director of the 1st cycle in Biotechnology, and an integrated researcher at the Institute of Bioengineering and Biosciences (iBB-IST). He holds a PhD in Biotechnology (1999) and a Master in Biotechnology/Biochemical Engineering (1994) from Universidade Técnica de Lisboa (IST), along with a Chemical Engineering degree from IST (1989). A member of the Order of Engineers (ID 24667), he co-founded Biotrend, a Portuguese bioprocess development company. Education PhD in Biotechnology (1999), Universidade Técnica de Lisboa MSc in Biotechnology (1994), Instituto Superior Técnico BSc in Chemical Engineering (1989), Instituto Superior Técnico Research Interests span biocatalysis, enzyme immobilization for food and pharmaceutical applications, marine biotechnology, microfluidic device development for biosensing, and steroid bioconversions using mycobacterial systems. His work integrates process engineering principles with sustainable bioprocessing techniques. Publication Trends show a focus on microreactor technology, enzyme stabilization in non-conventional media, marine-derived biocatalysts, and food waste valorization. Key themes include biocatalytic process intensification, aqueous two-phase systems for biomolecule purification, and sustainable carbon sources for biopolymer production. Scientific Awards UTL/Santander Totta Scientific Award in Biological Engineering (2011) Advising has included supervision of 5 doctoral theses and over 32 master’s theses. His expertise extends to peer-reviewing scientific articles and evaluating R&D projects. Labs & Teams are associated with iBB-IST (Institute of Bioengineering and Biosciences) and BioRG (Universidade Lusófona), with contributions to the Ciência Viva program for science dissemination.
Charles-Henry Bertrand Van Ouytsel is a Research Assistant and Visiting Lecturer at Université catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and the Computer Engineering Center (INGI) . His work focuses on malware analysis , symbolic execution , and machine learning for cybersecurity applications. Research Areas : Packing detection, intrusion detection systems, side-channel security, and adversarial machine learning. Teaching : Involved in courses like Secured systems engineering (LINFO2144) and Software engineering and programming systems seminar (LINFO2359) . His recent publications emphasize malware obfuscation techniques and security evaluation frameworks . Collaborations with Axel Legay and others highlight his contributions to tool development (e.g., Packing-Box , SEMA ). No scientific awards are explicitly mentioned.
Carsten Sievers serves as Adjunct Professor in the Department of Chemical and Biomolecular Engineering at Georgia Institute of Technology, where he leads research in sustainable catalytic processes for fuel and chemical production from alternative resources. His work bridges fundamental spectroscopy with industrial reactor design to address petroleum dependence. Education: Diploma, Technical University of Munich, Germany (2003) D.Sc., Technical University of Munich, Germany (2006) Research Focus: Sievers' program integrates fundamental studies using IR, NMR, XAS, and Raman spectroscopy to probe catalyst structure-reactivity relationships with applied research on flow reactor systems for biomass conversion (hydrodeoxygenation, sugar upgrading) and mechanocatalytic polymer depolymerization. Key initiatives target CO 2 -neutral chemical production from biomass and waste plastics, emphasizing catalyst stability and regeneration. Publication Trends: Recent work (2023-2025) reveals a strategic pivot toward mechanocatalysis for plastic recycling (polyethylene, polystyrene) and ammonia synthesis, while maintaining expertise in hydrocarbon catalysis. Dominant themes include reaction environment engineering in ball mills, metastable surface characterization, and process intensification for CO 2 electrolysis. Scientific Recognition: 2012 Young Scientist Award, International Congress on Catalysis 2023 ACS Fellow designation Academic Leadership: As Director and Past President of the Southeastern Catalysis Society, former ACS Division Director, and Editor of Applied Catalysis A: General , Sievers shapes catalysis research direction. His Sievers Group has secured competitive fellowships for students like Yuchen George Change (Eastman Chemical Fellowship) and Victor Brandão (Ziegler Award), reflecting strong mentorship in sustainable reaction engineering. Research Infrastructure: The group operates advanced flow reactors, spectroscopic characterization suites, and mechanochemical systems for in-situ catalyst analysis, supporting collaborations with industry partners on technology translation.
Ehud Gazit is a distinguished Professor in the Department of Molecular Microbiology and Biotechnology at Tel Aviv University's Faculty of Life Sciences. He holds the Chair for Nano-Biology and serves as Vice President for Research and Development at Tel Aviv University. Professor Gazit has held numerous prestigious visiting appointments including at Umeå University, Fudan University, and Cambridge University. His academic journey began with a B.Sc. (summa cum laude) from Tel Aviv University's Special University Program for Outstanding Students in 1991, followed by a Ph.D. (with distinction) from the Weizmann Institute of Science in 1997, and postdoctoral training at MIT from 1997-2000. Professor Gazit's research focuses on molecular structure and self-assembly at the nano-scale, particularly examining protein folding, unfolding, and misfolding phenomena. His laboratory investigates the mechanisms and significance of protein unfolding and misfolding, with experimental systems including bacterial toxin-antidote systems, type II diabetes-related amyloidogenic proteins, and the VHL tumor suppressor protein. His work bridges fundamental biochemistry with nanotechnology applications, exploring how molecular self-assembly can be harnessed for technological innovation. His recent publications demonstrate a strong trajectory in peptide-based nanomaterials, with particular emphasis on amyloid formation mechanisms, peptide self-assembly for functional materials, and therapeutic applications targeting neurodegenerative diseases. His work spans multiple disciplines including biochemistry, nanotechnology, materials science, and biomedical engineering, showing increasing integration of fundamental research with practical applications. Professor Gazit has received numerous prestigious awards including: 2020 Landau Prize in Sciences and Arts in the Field of Healthy Aging 2019 Rappaport Prize for Excellence in Biomedical Research 2018 Foreign Fellow of the National Academy of Sciences, India 2016 ERC Advanced Grant from the European Research Council 2015 Elected Member of the European Molecular Biology Organization (EMBO) Professor Gazit has been actively involved in mentoring students and researchers, as evidenced by his extensive publication record with numerous collaborators. He has secured significant research funding including an ERC Advanced Grant. His professional activities include editorial board memberships for journals including Journal of Peptide Science, Nanoscience & Nanotechnology - Asia, and Amyloid. He previously served as Chief Scientist of the Ministry of Science and Technology (2012-2014). His laboratory has developed innovative approaches to studying molecular self-assembly, with particular expertise in peptide nanostructures. The research team has made significant contributions to understanding amyloid formation mechanisms while simultaneously developing novel biomaterials with applications ranging from electronics to medicine. They have established strong collaborations with research groups worldwide, creating a dynamic interdisciplinary research environment focused on the intersection of biology and nanotechnology.
Silas Alben is a Professor in the Department of Mathematics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. His research focuses on applied mathematics and mathematical biology, particularly fluid-structure interactions in biological systems. He employs computational simulations and laboratory experiments to study fundamental physics of flexible bodies in fluids. Research interests include biomechanics of swimming organisms, vortex dynamics in fluid-structure interactions, and thermal transport optimization. His work bridges mathematical modeling with experimental validation to understand complex physical phenomena. Publications demonstrate strong focus on fluid dynamics applications, including vortex-enhanced heat transfer, membrane flutter dynamics, and bio-inspired locomotion. Recurring themes include optimization of fluid-structure systems, vortex wake interactions, and computational methods for aeroelastic problems.
Ulrich Tallarek serves as Professor of Analytical Chemistry in the Faculty of Chemistry at Philipps University of Marburg, where he has held a W3 professorship since 2011. He also serves on the Board of Directors for the Materials Science Center at the university, a position he has held since 2007. His research group focuses on the fundamental understanding of transport phenomena in porous media with applications spanning chromatography, battery technology, and microfluidic systems. The group maintains strong collaborations with institutions worldwide and secures substantial research funding for advanced computational and experimental work. Professor Tallarek's research interests center on functional porous solids, with specific focus on morphology-transport-performance relationships. His work bridges multiple scales from molecular dynamics simulations of solute behavior in nanopores to macroscopic transport in chromatographic columns and battery electrodes. Key research areas include diffusion in hierarchical porous media, electrokinetic phenomena in microfluidic systems, molecular simulation of chromatographic processes, and advanced characterization of porous materials using tomography and other techniques. His group has pioneered multiscale simulation approaches that connect molecular-level surface chemistry to macroscopic transport properties. The research output demonstrates consistent focus on understanding fundamental transport mechanisms in porous systems, with recent publications emphasizing multiscale simulation techniques, molecular dynamics studies of solvent effects in chromatography, advanced characterization of mesoporous structures, and applications to separation science and energy storage. The work shows strong integration of computational modeling with experimental validation across multiple length scales. 2003: Desty Memorial Prize for Innovation in Separation Science, The Royal Institution of Great Britain, London 2006: Young Scientist Award from DECHEMA e.V. 2011: Named Discussion Leader at the 2011 Gordon Research Conference on Physics & Chemistry of Microfluidics 2011–2012: Chairman of the German Chemical Society (GDCh), Marburg 2013: Finalist, World Technology Awards, for category Environment 2013: Named as one of the 100 most influential analytical scientists in the world (The Analytical Scientist Power List) 2017: Recipient of the Silver Jubilee Medal 2017, The Chromatographic Society, UK Professor Tallarek's research has been supported by numerous grants enabling high-performance computing resources, advanced instrumentation, and international collaborations. His group maintains strong ties with industry partners in separation science and analytical instrumentation. The Tallarek Research Group includes postdoctoral researchers, PhD students, and technical staff working across experimental and computational domains. Current projects focus on molecular simulation of chromatographic processes, advanced characterization of porous battery electrodes, and development of novel separation methodologies. The Tallarek Research Group operates state-of-the-art facilities for computational modeling, including access to high-performance computing resources at Forschungszentrum Jülich. The group also maintains experimental capabilities for chromatographic analysis, materials characterization, and microfluidic device development. Their work on physically reconstructed porous media has established new standards for connecting microstructure to transport properties in complex materials systems.
Jacob Fish is the Robert A.W. and Christine S. Carleton Professor and Chair of the Department of Civil Engineering and Engineering Mechanics at Columbia University. He directs the Multiscale Science and Engineering Center and leads Columbia's Computational Science and Engineering initiative (iCSE), coordinating 65+ faculty. With 35 years of pioneering research, he specializes in multiscale computational methods bridging aerospace, automotive, and healthcare industries. His research integrates multiscale computational science with applications in: Homogenization and reduced-order methods for complex materials Stochastic modeling of heterogeneous systems Coupled thermo-chemo-electro-mechanical processes Data-physics driven frameworks for industrial processes Recent work emphasizes AI-enhanced modeling for composites, porous media, and environmental systems. His 15 most recent publications (2023-2025) demonstrate strong trends toward: Data-physics integration in manufacturing (e.g., resin transfer molding) Multiscale environmental applications (canopy flows, CO2 mineralization) Advanced numerical methods (discontinuous Galerkin, solver-free homogenization) Digital twin development for composite lifecycle management Scientific Awards & Honors: 2018 JSCES Grand Prize 2010 IACM Computational Mechanics Award 2005 USACM Computational Structural Mechanics Award 2003 Rensselaer Research Award Fellowships: AAM, USACM, IACM Two Best Paper awards He founded the commercial Multiscale Designer software suite (250+ global clients) and secured major grants including an NSF-DFG collaboration on thermoplastic interfaces. His textbooks are used in 200+ universities worldwide. Leads the Multiscale Science and Engineering Center focusing on industrial-scale computational challenges and mentors researchers through Columbia's iCSE initiative. Former President of USACM and current IACM Vice-President for the Americas.
Huazhen Fang is an Associate Professor in the Department of Mechanical Engineering at the University of Kansas School of Engineering, where he joined in 2014. He leads the Information & Smart Systems Laboratory (ISSL) and holds a courtesy appointment in the Department of Electrical Engineering & Computer Science. His research focuses on enabling intelligence for complex systems through information-driven approaches. Dr. Fang received his Ph.D. in Mechanical Engineering from the University of California, San Diego in 2014, following an M.Sc. from the University of Saskatchewan and a B.Sc. in Computer Science & Technology from Northwestern Polytechnic University in China. He was a Visiting Faculty Fellow at Mitsubishi Electric Research Laboratories in 2022. His research interests span Systems and Control, Advanced Battery Management, Energy Storage Systems, and Robotics, with particular focus on system modeling, estimation, control design, machine learning and numerical optimization. Dr. Fang's work has significant applications in energy management, cooperative robotics, and environmental observing systems. His research has been supported by the National Science Foundation, Department of Energy, Army Research Laboratory, and Mitsubishi Electric Research Laboratories. His extensive publication record shows a clear trend toward increasingly sophisticated integration of physics-based modeling with machine learning approaches, particularly in battery management systems and autonomous vehicle control. Recent work demonstrates a growing emphasis on Bayesian inference methods, distributed control architectures, and safety-critical applications of intelligent control systems. Faculty Early Career Award from National Science Foundation (2019) University Scholarly Achievement Award (2024) Miller Professional Development Award (2022) Miller Faculty Scholar Award (2018, 2019, 2023) Wesley G. Cramer Outstanding Mechanical Engineering Faculty Award (2016) Big XII Faculty Fellowship (2015) IEEE Transactions on Transportation Electrification Prize Paper Award (2024) Dr. Fang has successfully mentored numerous graduate students through the Information & Smart Systems Laboratory, with many receiving awards for their research. His research has attracted significant funding from prestigious organizations including the National Science Foundation, Department of Energy, Army Research Laboratory, and Mitsubishi Electric Research Laboratories. He currently serves as an Associate Editor for multiple prestigious journals including Information Sciences, IEEE Transactions on Industrial Electronics, and IEEE Control Systems Letters. The Information & Smart Systems Laboratory (ISSL) under Dr. Fang's leadership has established itself as a center for cutting-edge research in information-driven smart systems. The lab focuses on pushing the frontiers of information extraction, analysis and exploitation for dynamic systems to deal with system complexity and enable system intelligence. The lab actively collaborates with industry partners and local communities, emphasizing research that serves societal needs.
