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Stefan Thor SmithView profile

Professor

• Energy Systems
• Urban Energy Modeling
• Climate Resilience
• +3 more

Professor Stefan Thor Smith is a distinguished academic at the University of Reading , serving as a Professor in the Department of Energy and Environmental Engineering . His work bridges energy systems with urban sustainability , focusing on the integration of social and technical aspects of energy demand , urban energy system modeling , and climate change resilience . Academic Qualifications Postgraduate Certificate in Academic Practice (University of Reading, 2016) PhD in Built Environment (University of Nottingham, 2009) MSc in Computer Science (University of Glasgow, 2002) BSc in Physics (University of Nottingham, 2001) His research interests span the dynamics of energy demand in socio-technical systems, urban heat fluxes, pollution exposure modeling, and climate adaptation strategies. He has developed novel models for energy demand-side management , building environmental control , and urban climate interactions . Recent publications highlight his expertise in areas such as EV charging infrastructure , urban tree radiative performance , phase change material storage , and anthropogenic heat emissions . His work often involves interdisciplinary collaborations with institutions like the Centre for Research into Energy Demand Solutions and the Institute of Physics . Smith supervises a diverse group of postgraduate students and contributes extensively to teaching modules including Numerical Modelling and Programming and Urban Sustainability . His professional affiliations include the Institute of Physics , International Association of Urban Climatology , and the Higher Education Association .

• Combinatorial Optimization
• Integer Programming
• Quadratic Programming
• +4 more

Cédric Soutil is a Researcher at the Conservatoire National des Arts et Métiers (CNAM) , affiliated with the CEDRIC Laboratory. His work spans combinatorial optimization , integer programming , quadratic programming , and algorithm design , with a focus on solving complex optimization problems in scheduling and graph theory. Recent publications highlight his expertise in non-separable and non-convex quadratic integer programming , knapsack problems , and online computation . His research trends emphasize mathematical reformulations , upper bound algorithms , and optimization models for real-world applications like horse race scheduling and hydrogen production . He has collaborated extensively with researchers such as A. Houdayer , D. Quadri , and P. Tolla , contributing to over two decades of academic output in operations research and combinatorial optimization .

Philip CorrView profile

Professor

• Personality neuroscience
• Behavioral economics
• Individual differences
• +5 more

Professor Philip Corr is a distinguished Professor of Psychology at City, University of London, where he has been employed since 2013. He previously held Professorial positions at the University of East Anglia (2009-2013, where he served as Head of Psychology) and Swansea University (2004-2009, where he was Head of Department). Earlier in his career, he was Senior Lecturer at Goldsmiths, University of London (2001-2004) and Lecturer at both Goldsmiths and the University of Greenwich. His research focuses on personality neuroscience and behavioral economics, particularly individual differences in approach and avoidance behavior systems. He has made significant contributions to the Reinforcement Sensitivity Theory (RST) of personality, exploring how these fundamental behavioral systems drive different forms of behavior, including economic decision-making. His work spans multiple methodologies including neuroimaging, behavioral, psychopharmacological, and psychophysiological approaches. Professor Corr's recent publications (2021-2025) demonstrate his continued leadership in personality neuroscience, with studies examining the genetic foundations of approach-avoidance behavior, cross-cultural validation of personality measures, and applications of Reinforcement Sensitivity Theory to understanding anxiety, social behavior, and responses to global challenges like the COVID-19 pandemic. His work consistently bridges theoretical personality psychology with practical applications across multiple domains. Fellow of the Royal Society of Arts (FRSA) Chartered Psychologist of the British Psychological Society Chartered Scientist of the Science Council President of the International Society for the Study of Individual Differences (2015-2017) Co-Founding President of the British Society for the Psychology of Individual Differences As an educator, Professor Corr teaches courses in Personality and Differential Psychology and supervises doctoral research. He has advised students on topics including ADHD, neurofeedback, and the relationship between personality traits and behavior. He founded and edits the journal Personality Neuroscience, published by Cambridge University Press, and serves on the editorial boards of several other scientific journals in the field of personality and individual differences.

Mark R. WarrenView profile

Professor

• Community Organizing
• Educational Justice
• Racial Equity
• +5 more

Mark R. Warren is a Professor in the Department of Public Policy & Public Affairs at the University of Massachusetts Boston. A sociologist and community-engaged scholar, he focuses on community organizing, educational justice, and racial equity, particularly through grassroots movements dismantling systemic racism in schools. Author of six books, including the 2021 Oxford University Press title Willful Defiance , which won the 2025 Grawemeyer Education Award. Co-founder of networks like the People’s Think Tank for Educational Justice and the Urban Research Based Action Network (URBAN). Research Interests : Grassroots community organizing against the school-to-prison pipeline. Intersectional approaches to educational justice, linking race, immigration, and LGBTQ+ rights. Collaborative, community-engaged research methodologies. Scientific Awards : 2025 Grawemeyer Education Award 2022 Chancellor’s Award for Distinguished Scholarship (UMass Boston) Guggenheim Fellowship SAGE McCune Fellow at Stanford’s CASBS AERA Fellow Notable Contributions : Multi-year studies in Mississippi, LA, and Chicago; frameworks for local-national movement interplay; advocacy for police-free schools and restorative justice practices.

• Gravitation
• Cosmology
• Theoretical Physics
• +5 more

Tomi Sebastian Koivisto is a Visiting Professor at the University of Tartu, Faculty of Science and Technology, Institute of Physics. His distinguished career includes previous appointments as Associate Professor (2021-2023), Senior Research Fellow (2019-2020), and Assistant Professor at Nordita - Nordic Institute for Theoretical Physics (2013-2019), with postdoctoral experience at leading institutions including the University of Oslo, University of Utrecht, and University of Heidelberg. Dr. Koivisto earned his PhD in theoretical physics from the University of Helsinki in 2006 with his dissertation 'Formation of structure in dark energy cosmologies' supervised by Hannu Kurki-Suonio and Finn Ravndal. His academic credentials include the title of Adjunct Professor (Docent) in Physics at the University of Helsinki (2015). His research focuses on the geometrical foundations of gravitational physics, with groundbreaking work in teleparallel gravity, metric-affine gravity, and the geometrical trinity of gravity. Koivisto investigates how modifications to general relativity can address cosmological tensions and explain dark energy phenomena. His theoretical framework explores the connections between gauge theories and gravity, with applications ranging from black hole physics to cosmological evolution. His approach combines rigorous mathematical formalism with observational implications, making significant contributions to both theoretical foundations and potential experimental tests of alternative gravity theories. Dr. Koivisto has received notable recognition including the Estonian National Research Award in exact sciences (2023, shared with Luca Marzola) for his contributions to theoretical physics. His current research is supported by substantial funding, including the 'Space-Time-Matter' project (PRG2608, 2025-2029) with 270,000 EUR from the Estonian Research Council and his role as principal investigator on the 'Foundations of the Universe' project (2024-2030) with 636,363 EUR funding. He has supervised six postdoctoral researchers and currently advises three doctoral students, establishing a productive research group focused on advancing gravitational theory. His supervision record includes notable researchers such as Miguel Zumalacarregui, now a prominent cosmologist, and current doctoral candidates Luxi Zheng, Ernest Michael Priidik Gallagher, and Roald Heinrich Ivask working on unification theories, gauge gravity, and spacetime thermodynamics respectively. At the University of Tartu, Koivisto leads a research team within the Institute of Physics that collaborates extensively with Nordita and other European theoretical physics centers. His group specializes in developing mathematical frameworks for modified gravity theories while maintaining connections to observational cosmology and potential experimental signatures. The team participates in international collaborations addressing fundamental questions about the nature of spacetime, dark energy, and the early universe.

• Sleep
• Circadian rhythms
• Bioinformatics
• +4 more

Ron C Anafi serves as Associate Professor of Medicine (Sleep Medicine) at the Hospital of the University of Pennsylvania and holds key affiliations as Faculty Scholar at the Penn Institute for Bioinformatics, Co-Investigator at the Center for Subcellular Genomics, and member of both the Chronobiology and Sleep Institute and ITMAT. His work bridges computational biology with clinical sleep medicine within the Perelman School of Medicine. His educational trajectory includes a B.S.E. in Biomedical Engineering and Philosophy from Tulane University (1995), followed by a Ph.D. in Applied Mechanics (2002) and M.D. (2004) from the University of Minnesota. This dual training underpins his unique approach to circadian research. Dr. Anafi's laboratory pioneers computational methods to decode sleep and circadian influences on human physiology, focusing on neurodegeneration and cancer. By applying machine learning and systems biology to large-scale omics data, his team reconstructs molecular rhythms from cross-sectional human tissue databases—overcoming the critical barrier of limited longitudinal sampling in patients. His research demonstrates how circadian disruptions in ribosomal function link to Alzheimer's pathology and how tumor clock strength predicts breast cancer outcomes. Analysis of his 15 most recent publications (2022-2025) reveals intensifying focus on cell-type-specific circadian disruptions in neurodegenerative diseases, with significant expansion into cancer chronobiology and contactless sleep monitoring technologies. His methodological innovations like CYCLOPS enable rhythmic signal extraction across diverse tissues—from brain to skin—while increasingly integrating multi-omics layers to identify therapeutic targets. As mentor in the Genomics and Computational Biology and Neuroscience graduate groups, he guides students through rotation projects at his Translational Research Laboratories facility (Suite 2100, 125 South 31st Street). His research is supported by NIH grants investigating circadian mechanisms in Alzheimer's disease and cancer progression, with recent work exploring sex-specific metabolic impacts of circadian genes and non-invasive sleep monitoring.

Cheng HuangView profile

Assistant Professor

• Computational Fluid Dynamics
• Aerospace Propulsion
• Data-driven Modeling
• +3 more

Cheng Huang is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on computational fluid dynamics, aerospace propulsion, turbulent combustion modeling, and reduced-order modeling techniques. He is affiliated with the Computational AeroPropulsion Laboratory and can be contacted at chenghuang@ku.edu. Education: B.S. from Shanghai Jiaotong University M.S. and Ph.D. from Purdue University Research Interests: LES Modeling of Turbulent Reacting Flows Data-Driven and Reduced-Order Modeling of Complex Fluid Flows Combustion Instability Analysis in Aerospace Propulsion Recent Work Trends: His publications emphasize reduced-order modeling techniques for rocket combustion dynamics, rotating detonation engines, and multiscale fluid systems. Key methodologies include projection-based models, data-driven approaches, and nonlinear approximations of latent dynamics.

Rameshwar PratapView profile

Associate Professor

• Algorithms in Machine Learning
• Theoretical Computer Science
• Sketching and Dimensionality Reduction
• +5 more

Rameshwar Pratap is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad). Previously, he served as an Assistant Professor at the School of Computing and Electrical Engineering, IIT Mandi for three years. Education: Ph.D. in Theoretical Computer Science, Chennai Mathematical Institute Research Interests: His research lies at the intersection of theory and practice, focusing on extremely simple yet practical approximation algorithms with provable guarantees . Key themes include: Sketching and dimensionality reduction algorithms for tensors and similarity measures Improving speed, scalability, and accuracy of existing sketching methods Applications in machine learning: node embedding in large-scale networks, itemset mining, model compression He extensively employs techniques from matrix and tensor algebra, sampling, random projection, and randomized hashing . Publications Overview: Across 2021–2025 his work has appeared in top venues such as IEEE Globecom, Theoretical Computer Science, Acta Informatica, Information Processing Letters, Algorithmica, UAI, ICALP, Machine Learning, TKDE, and ACML. Recurring themes are randomized sketching, locality-sensitive hashing, compressed matrix multiplication, variance reduction, and subspace approximation , demonstrating both theoretical depth and practical impact. Awards & Honors: Early Career Research Grant (PM-ECRG) 2025, Anusandhan National Research Foundation (ANRF) Best Paper Award, COCOON 2020 Students & Funding: First Ph.D. student: Bhisham Dev Verma (co-advised with Prof. Manoj Thakur) graduated June 2025 MS by Research student: Punit Pankaj Dubey graduated October 2022 Currently hiring 1 Junior Research Fellow for the PM-ECRG project “Improving Similarity Search in Practice” Labs & Teams: Works within the Algorithms & Theory group at IIT Hyderabad, collaborating with national and international researchers. Erdös number is 3.

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

• Computational chemistry
• QM/MM simulations
• Catalysis
• +5 more

Nisanth N. Nair is Professor of Chemistry at the Indian Institute of Technology Kanpur (IITK), India, holding the position since 2018. He obtained his PhD from the Universität Hannover, Germany (2004) after completing his MSc in Chemistry at IIT Madras (2001). His research group pioneers advanced computational-chemistry methods to address grand-challenge problems in energy, healthcare and materials science. Education PhD (2004), Universität Hannover, Germany MSc (2001), Chemistry, Indian Institute of Technology Madras Research Interests Professor Nair’s work is organized around five tightly linked thrusts: Method development: massively parallel QM/MM algorithms, polarizable force-fields, metadynamics and hybrid functionals for large-scale catalytic systems. Energy catalysis: computational design of Rh/Al₂O₃ and Rh/TaON catalysts for efficient water-splitting and H₂ production. Healthcare: molecular mechanisms behind antibiotic resistance in NDM-1 and Class-C β-lactamase enzymes, guiding de-novo inhibitor discovery. Aerospace materials: multi-scale modelling of thermo-oxidative degradation of high-temperature polymers in collaboration with Boeing. Heterogeneous catalysis: olefin hydrogenation on Rh/Y-zeolite and single-atom catalysis phenomena. Publications Trend His recent articles (2011–2013) highlight an integrative approach combining rigorous electronic-structure calculations with micro-kinetic modelling to unravel complex catalytic cycles, antibiotic-resistance pathways and support-effects in single-atom catalysts. Honours & Awards P. K. Kelkar Young Faculty Research Fellow, IIT Kanpur (2012–2015) Young Associate, Indian Academy of Sciences, Bangalore (2012–2015) Young Scientist Medal, Indian National Science Academy, New Delhi (2013) Contact & Resources Office: SL 302, Department of Chemistry, IIT Kanpur, Kanpur 208016, India Phone: +91 512 259 6311 Email: nnair@iitk.ac.in Web: http://home.iitk.ac.in/~nnair

Francesca PianosiView profile

Associate Professor

• Water Resource Management
• Hydrology
• Environmental Modelling
• +5 more

Dr Francesca Pianosi is an Associate Professor in Water & Environmental Engineering at the University of Bristol 's School of Civil, Aerospace and Design Engineering. She contributes to the Cabot Institute for the Environment and leads research on data analysis, mathematical modelling, and uncertainty quantification for hydrology and water engineering. Specialises in simulation and optimisation methods for water resource management Focuses on uncertainty propagation in natural hazard models Developed the open-source SAFE Toolbox for sensitivity analysis Research Trends Her recent publications (2023-2025) demonstrate expertise in: Groundwater flow and recharge in data-scarce regions Digital Twin applications for watershed management Climate change impact on landslides and droughts Multi-objective optimisation for reservoir operations Integration of machine learning with hydrological models Scientific Awards Arne Richter Award for Outstanding Young Scientists (2015) Best Research Oriented Paper - Journal of Water Resources Planning and Management (2024) Early Career Research Excellence (ECRE) award (2014) Francesca leads the Water Management and Adaptation based on Watershed Digital Twins project (2024-2027) and contributes to the USARIS project on uncertainty quantification for infrastructure systems (2023-2025).

Dawei HanView profile

Professor

• Hydroinformatics
• Flood Risk Management
• Rainfall Simulation
• +4 more

Dawei Han serves as Professor of Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering, leveraging advanced computational techniques to address hydrological challenges. Holding a B.Eng. and M.Sc. from Huabei alongside a Ph.D. from Salford, he is recognized as a Chartered Engineer (C.Eng.) and Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM). His academic credentials include: Bachelor of Engineering (B.Eng.) from Huabei Master of Science (M.Sc.) from Huabei Doctor of Philosophy (Ph.D.) from University of Salford Professor Han's research focuses on integrating hydroinformatics with practical water management solutions, particularly in urban environments. His work pioneers applications of machine learning for rainfall nowcasting, radar-based hydrological monitoring, and climate change impact assessment. Key innovations include DREE-RF for rainfall energy estimation and frameworks for urban flood resilience, emphasizing data-driven approaches to enhance prediction accuracy and risk mitigation strategies. Analysis of his 2024-2025 publications reveals dominant themes in urban hydrology (40%), flood risk management (30%), and climate-remote sensing integration (30%). His research spans global contexts from UK catchments to Iraqi rainfall systems, consistently employing computational methods like neural networks and WRF modeling to address data-scarce environments and extreme weather events. Professional recognition includes: Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM) While specific student supervision details are unavailable, his extensive publication record indicates active mentorship in hydroinformatics. Research grants likely support his work on radar remote sensing and urban climate adaptation, though explicit funding sources aren't documented in the source material. His affiliation with Bristol's engineering school positions him within interdisciplinary teams addressing infrastructure resilience, though laboratory-specific information remains unreported.

Carlos AguiarView profile

Assistant Professor

• Human-Computer Interaction
• Social Interaction Design
• Assistive Technologies
• +5 more

Dr. Carlos Aguiar serves as Assistant Professor in the Industrial Design Program at the University of Illinois Urbana-Champaign's School of Art and Design, with affiliate status in Informatics at the School of Information Sciences. He directs the Design, Technology, and Society Lab, where he investigates human-artifact interactions through critical design frameworks and cyber-physical systems development. His academic foundation includes a Ph.D. in Design & Human Behavior from Cornell University (2021) with minors in Science and Technology Studies and Information Science, an M.S. in Design Computing from the University of Washington (2017), and a Bachelor's in Architecture & Urbanism from Brazil's Universidade Estácio de Sá (2012). Aguiar's research integrates Science and Technology Studies, Design Philosophy, and Critical Theory to develop technologies that foster social change while examining material culture's societal implications. His dual-focus methodology simultaneously creates tangible artifacts that enhance human-agent-material relations and analyzes how emerging technologies shape societal structures through empirical investigation and critical reflection. This approach prioritizes inclusivity in future-making processes and examines emergent behaviors in technological appropriation. His publication trajectory (2016-2024) reveals consistent advancement in human-computer interaction, particularly in assistive technologies for rehabilitation and autism support, social interaction design in public spaces, and architectural robotics for community building. Key thematic developments include the evolution from single-user wearable devices (Erglove, GripAid) to community-scale cyber-physical systems (communIT, transFORM), with recent work expanding into eco-consciousness and restorative environments through socially interactive robotics. No scientific awards were documented in the provided source materials As lab director, Aguiar cultivates interdisciplinary collaboration between design, informatics, and engineering disciplines. His grant activities focus on developing cyber-physical artifacts that transform underused public spaces into community engagement hubs while addressing societal challenges through human-centered technological innovation. The Design, Technology, and Society Lab functions as an experimental platform where theoretical frameworks from STS and critical design directly inform the creation of responsive environments, objects, and spaces that actively shape social interactions and cultural practices.

Tuukka RuotsaloView profile

Associate Professor

• Brain-Computer Interfaces
• Human-Information Interaction
• Recommender Systems
• +4 more

Tuukka Ruotsalo serves as Associate Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His research bridges human cognition with computational systems through brain-computer interfaces and physiological computing. As Academy Research Fellow at University of Helsinki (2019-2024), he maintained dual institutional affiliations while leading cutting-edge work in neuro-linguistic modeling and affective relevance. His research focuses on brain-computer interfaces for information retrieval , where he pioneers methods to decode cognitive states from neural signals to improve search systems. Key areas include affective relevance modeling that integrates emotional states into search algorithms, and neuro-linguistic reconstruction that translates brain activity into language. His work on fairness-relevance tradeoffs in recommender systems established Pareto frontier evaluation frameworks now widely adopted in ethical AI research. Recent publications demonstrate how physiological signals like EEG and galvanic skin response can create more adaptive human-information interaction systems. Ruotsalo's scientific recognition includes the prestigious Academy Research Fellow position. His publications in IEEE Transactions on Human-Machine Systems , Journal of the Association for Information Science and Technology , and Communications Biology reveal growing interdisciplinary impact. His advising spans cognitive neuroscience and machine learning students, with notable collaborations across the SCIENCE AI Centre. Current projects include the TreeSense initiative for remote sensing of global tree resources and development of quantum-inspired neural architectures. His lab leverages the department's powerful compute cluster for large-scale physiological data analysis.

• Multiphase Systems Engineering
• Carbon Capture and Storage (CCS)
• Sustainable Industrial Processes
• +6 more

Professor Ronny Pini is a Professor of Multiphase Systems at Imperial College London's Department of Chemical Engineering within the Faculty of Engineering. His research focuses on sustainable industrial processes, particularly carbon capture and storage (CCS), porous media dynamics, and imaging-based process design. He holds a PhD in Mechanical and Process Engineering from ETH Zurich and has held academic positions including Senior Lecturer and Reader at Imperial College since 2015. His educational background includes a Postdoctoral fellowship at Stanford University (2010-2013) and prior roles at the Colorado School of Mines. Research interests span multiphase flow mechanics, adsorption science, and environmental engineering applications. Key projects include the InFUSE Prosperity Partnership and Digital Rocks Lab, leveraging X-ray tomography, positron emission tomography, and computational models to study subsurface CO2 storage and sustainable materials. Professor Pini's work integrates chemical engineering with material science and earth sciences, addressing global challenges like industrial decarbonisation. He collaborates on developing advanced imaging techniques to characterise porous media behavior and optimise processes for energy transition. Current focus areas include direct air capture technologies and enhancing oil recovery via CO2 utilisation. His research outputs include over 150 peer-reviewed articles, with recent emphasis on adsorption-based CO2 capture systems, pore-scale transport phenomena, and sustainable process design frameworks. He is actively involved in training early-career researchers through Imperial College's Chemical Engineering programs and international collaborations.