Lorenzo M. Polvani is the Maurice Ewing and J. Lamar Worzel Professor of Geophysics at Columbia University, with dual appointments in the Department of Applied Physics and Applied Mathematics and the Department of Earth and Environmental Sciences. He has taught at Columbia for over 30 years and received multiple teaching awards. PhD in Physical Oceanography, MIT/Woods Hole Joint Program (1988) MSc and BSc in Physics, McGill University His research spans Atmospheric Science , Climate Modeling , and Arctic Studies , focusing on geophysical fluid dynamics, radiative forcing, and climate sensitivity. Recent work examines nonlinear climate responses to CO2 variations, Arctic amplification mechanisms, and volcanic aerosol impacts. Scientific publications reveal trends in radiative forcing , Arctic sea ice dynamics , stratospheric ozone effects , and climate feedback interactions . Key tools include the ClimKern Python package for radiative feedback analysis. Notable research includes: Nonlinear precipitation responses to volcanic eruptions High CO2 forcing effects on North Atlantic Oscillation Cloud feedbacks reducing hydrological sensitivity Arctic amplification through radiative-advective equilibrium Stratospheric ozone impacts on tropical climate patterns
Joakim Westerlund is a Professor at the Department of Economics at Lund University, Sweden. His research focuses on econometrics, especially panel data econometrics, with expertise in estimation theory, unit root testing, and structural breaks. He teaches econometrics at all academic levels and has supervised numerous bachelor, master, and PhD theses. His work contributes to UN Sustainable Development Goals through methodological advancements in economic analysis. Westerlund has held a Wallenberg Academy Fellowship (2019–2028) and received the Journal of Applied Econometrics Distinguished Author Award in 2018. He collaborates internationally and actively contributes to academic conferences. His research spans theoretical econometrics, empirical applications, and econometric software development. Current PhD supervision includes students working on topics like robustness to structural breaks and human capital analysis. Key research interests include panel unit root tests, interactive effects models, and methodological innovations for handling cross-sectional dependence. His recent work addresses structural breaks in panel data and the New Keynesian Phillips Curve in European economies. He has published widely in top journals such as the Journal of Applied Econometrics and the Oxford Bulletin of Economics and Statistics.
Jonathan A. Kelner is a Professor of Applied Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on applying techniques from pure mathematics to solve fundamental problems in algorithms and complexity theory, with the goal of developing practical algorithms for real-world questions. Dr. Kelner received his undergraduate degree from Harvard University and his Ph.D. in Computer Science from MIT in 2006. Before joining the MIT faculty, he spent a year as a member of the Institute for Advanced Study. His educational background has provided a strong foundation for his interdisciplinary research spanning mathematics and computer science. His research interests include combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory. Kelner's work demonstrates how deep theoretical insights can lead to practical algorithmic improvements, particularly in graph algorithms and optimization problems. His approach often involves connecting seemingly disparate areas of mathematics to create novel algorithmic techniques. Analysis of his recent publications reveals a strong focus on spectral graph theory, optimization algorithms, and the Sum-of-Squares method. His work frequently addresses fundamental questions in theoretical computer science with practical implications for algorithm design. A notable trend in his research is the development of nearly-linear-time algorithms for various graph problems, which represents significant improvements over previous approaches. NSF CAREER Award Alfred P. Sloan Research Fellowship NEC Award for Research in Computers and Communication Sprowls Doctoral Dissertation Award Best Student Paper Award at STOC 2004 Best Paper Award at STOC 2011 Kokusai Denshin Denwa Junior Faculty Chair 2008 Harold E. Edgerton Faculty Achievement Award 2011 School of Science Award for Excellence in Undergraduate Education 2012 Professor Kelner has been actively involved in mentoring students and has received recognition for his teaching excellence, including the School of Science Award for Excellence in Undergraduate Education in 2012. His research has been supported by prestigious grants including the NSF CAREER Award. He has collaborated extensively with researchers across multiple institutions, often working with other leading figures in theoretical computer science to produce groundbreaking results in algorithm design. At MIT, Kelner is part of both the Mathematics Department and CSAIL, positioning him at the intersection of theoretical mathematics and practical computer science. This dual affiliation reflects the interdisciplinary nature of his work, which bridges pure mathematical theory with concrete algorithmic applications.
Prof. Dr.-Ing. Erwin Biebl is a Professor in the Chair of High Frequency Engineering at the Technical University of Munich (TUM). His research focuses on high-frequency technology, automotive radar systems, and microwave communication. He has held academic positions since 1999 and has extensive industry experience at Rohde & Schwarz. His work includes developing sensors and communication systems for automotive safety and environment detection. Education: Studied electrical engineering at TUM, earned his doctorate (1991) and habilitation (1994) in high-frequency engineering. Professional Memberships: Senior Member of IEEE, Member of URSI Commission B, and liaison officer for the Hanns Seidel Foundation. Research Interests: Automotive radar systems, antenna design, millimeter-wave measurements, and sensor technology. His contributions include advancements in synthetic aperture radar and inductive compensation techniques for automotive radomes. Awards: Recognized for his teaching (2002 Lecturer Award) and research, including the Dr. Georg Spinner High Frequency Prize (1992). Supervised teams in competitions such as the 2009 International Collegiate Student Safety Technology Design Competition. Labs/Teams: Leads the Chair of High Frequency Engineering at TUM, focusing on interdisciplinary research in high-frequency systems and automotive applications.
Prof. Ronald Meester is a Full Professor of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. He specializes in mathematical statistics, probability theory, and their applications in legal and environmental contexts. His current positions include director of Meester Advies (Leiden) and expert for Landelijke Deskundigheidsmakelaar Politie (Apeldoorn). He has supervised 14 PhD theses and contributes to interdisciplinary research bridging statistics with law, epidemiology, and environmental policy. Research focuses on Bayesian reasoning, likelihood ratio analysis, and statistical methodologies for legal evidence evaluation. Recent work addresses nitrogen deposition policy critiques and epidemiological study design limitations. His ancillary activities include authorship (since 2003) and teaching roles at SSR Utrecht. Media engagements include commentaries on scientific integrity and environmental policy. Teaching includes the course 'Mathematical Modelling of Stochastic Systems' (2024-2025 academic year). Active in international collaborations and has produced 111 research outputs spanning articles, books, and encyclopedia entries. His work contributes to UN SDGs related to sustainable development through environmental statistical analysis.
Tim Ibell is a Professor in the Department of Architecture & Civil Engineering at the University of Bath, affiliated with the Centre for Climate Adaptation & Environment Research (CAER). He has held leadership roles including Head of Department, Associate Dean (Graduate Studies), and Associate Dean (Research). His career includes a Fulbright Distinguished Scholar Award (2002) and a stint as Sir Kirby Laing Professor of Civil Engineering at the University of Cambridge. He is a Fellow of the Royal Academy of Engineering and has received six best journal-paper awards. Education: Postdoctoral research at the University of Cambridge following industry experience. Joined Bath in 1997. Research focuses on sustainable construction materials, FRP reinforcement, and embodied carbon reduction in concrete structures. His work aligns with UN SDGs on climate action and sustainable cities. Key innovations include fabric-formed concrete structures and low-carbon pile foundations. Recent projects include EPSRC-funded studies on pile optimization, creative design teaching, and resource efficiency in industrial strategy. Collaborations span UK and international institutions. Awards include the Institution of Structural Engineers' recognition and Royal Academy of Engineering Fellowship. Advising and grants: Supervises PhD students in sustainable construction. Leads multi-million-pound research projects addressing embodied carbon and material efficiency. Labs/Teams: Directs CAER and collaborates with interdisciplinary teams on projects like ACORN (Automating Concrete Construction) and MEICON (Minimising Energy in Construction).
Dr Juliet Bennett is a Research Fellow at the Sydney Centre for Healthy Societies (SCHS) and Charles Perkins Centre, University of Sydney. Her work bridges process philosophy with systemic interventions for social and ecological wellbeing. She holds a PhD in Peace and Conflict Studies, focusing on paradigm shifts from static to process thinking. Previously, she managed collaborative research at Sydney Policy Lab and directed the Sydney Peace Foundation. Education: PhD (Peace and Conflict Studies), MPhil/MA (Peace and Conflict Studies). Teaching includes units on peace studies, narratology, and structural violence at the University of Sydney and Lenoir Rhyne University. Research interests center on mitigating social/ecological injustice, structural violence, and climate change through critical sociology, contextual economics, and participatory methods. Current projects examine food systems and ultra-processed foods via critical social theory. Awards: 2020 Excellence in Teaching for 'Key Issues in Peace and Conflict Studies'. Memberships include Sydney Policy Lab, New Economic Networks Australia, and the International Peace Research Association. Publications span process philosophy applications, climate policy, and participatory research methods. Her work advocates for systemic transformations toward ecological civilization through interdisciplinary collaboration.
Professor Petri Kuosmanen is affiliated with Aalto University as a faculty member of the School of Engineering and holds a position in the Department of Energy and Mechanical Engineering and the Mechatronics unit. Doctoral Degree in Engineering and Technology, Helsinki University of Technology (2004) Licentiate Degree in Engineering and Technology, Helsinki University of Technology (1992) Master's Degree in Engineering and Technology, Helsinki University of Technology (1988) His research focuses on Industrial Internet and Rotor Dynamics , with significant contributions to elevator systems , hydraulics , and wastewater treatment plant design . Recent work includes optimizing natural frequencies in rotor systems and developing digital twins for engineering education . Key trends in his 2024 publications include: Rotor dynamics and vibration analysis Smart data validation in industrial IoT networks Cold-climate adaptations for wastewater treatment Automated fiber optics coating mechanisms Energy efficiency in aeration systems As Principal Investigator, he leads projects like DRIVE FORWARD (2024–2027) and GOOD (2021–2024), focusing on electrified mobile machinery. He actively collaborates with networks such as DAAAM International (Chair) and European CLUSTER-university network (Member).
Timothy John O'Brien is a Professor of Astrophysics and Associate Director of the Jodrell Bank Centre for Astrophysics at the University of Manchester, Faculty of Science & Engineering, Department of Physics & Astronomy. He also served as Director of Teaching & Learning in the Department of Physics & Astronomy from 2016-2020 and as Associate Dean for Social Responsibility for the Faculty of Science & Engineering during the same period. His educational background includes a B.Sc. (Hons) in Physics with Astrophysics from the University of London (1985) and a Ph.D. in Astrophysics from the University of Manchester (1990). Professor O'Brien's research concentrates on the study of exploding stars—mainly nova outbursts caused by thermonuclear explosions on the surface of white dwarfs in binary star systems. Over the years, he has developed expertise in a wide range of astrophysical techniques, working across the spectrum from radio waves to X-rays while also carrying out numerical simulations of the aftermath of explosions using his own hydrodynamic codes. Recently, he has developed an interest in the search for extra-terrestrial intelligence (SETI) using radio telescopes. His research fingerprint shows strong activity in Novae (100%), Optical Bursts (94%), Recurrent Novae (56%), Ejecta (45%), Planetary Nebula (38%), Emissions (32%), Classical Novae (32%), and Nebula (28%). His recent publications demonstrate a continued focus on nova outbursts, particularly in symbiotic novae systems like RS Ophiuchi, with high-resolution imaging techniques and multi-wavelength observations. His work spans theoretical modeling, observational astronomy across the electromagnetic spectrum, and data analysis from major telescope facilities. Kelvin Medal of the Institute of Physics (2014) for Public Engagement Professor O'Brien has extensive teaching experience, having worked as a lecturer in three universities since 1988. He has taught a wide range of courses in astronomy & astrophysics, physics, applied mathematics, and computing. From 1999-2009, he directed a distance learning program in astronomy that enrolled over 1,300 students. His current teaching includes Dynamics, Physics of the Solar System, and a course on the Search for Extraterrestrial Life. He has also supervised numerous project students throughout his career. He is actively involved in public engagement, including regular media appearances and events at the Jodrell Bank Centre for Engagement. He was a co-founder of the bluedot festival and contributed to the successful nomination of Jodrell Bank Observatory as a World Heritage Site in 2019.
Prof. Hans van Lint is a Professor of Traffic Simulation and Computing at Delft University of Technology (TU Delft), where he holds the Anthony van Leeuwenhoek Chair since 2013. He is affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His research focuses on the intersection of traffic flow theory, data analytics, and traffic simulation, with applications in estimating and predicting traffic states in networks. He has supervised numerous PhD students and contributed to valorization projects translating research into practical solutions. Van Lint earned his MSc in Civil Engineering in 1997 and returned to TU Delft for his PhD, which he completed in 2004 on 'Freeway Travel Time Prediction.' He has held roles including Assistant Professor (until 2009), Associate Professor, and has served as Director of Education for the MSc Transport, Infrastructure and Logistics program from 2010–2016. His research interests include traffic simulation frameworks, data assimilation techniques, and the development of tools for traffic state estimation. He has authored influential papers on topics such as microscopic traffic modeling, congestion pattern analysis, and macroscopic fundamental diagrams. His work emphasizes bridging theoretical models with real-world applications, enhancing traffic management and infrastructure planning. Van Lint teaches courses like 'Transport & Planning' and 'Interdisciplinary Fundamentals,' reflecting his commitment to both research and education. He actively contributes to TU Delft's labs, including the Traffic Dynamics, Modelling and Control Lab, advancing interdisciplinary approaches to mobility challenges.
Daniel M.G. Raff is an Associate Professor of Management at the Wharton School of the University of Pennsylvania, where he has been affiliated since 1994. His research bridges business history and strategy, focusing on urban history, public policy, and historical demography. PhD, Massachusetts Institute of Technology, 1987 BPhil, Oxford University, 1978 MPA, Princeton University, 1976 BA, New College, 1973 Raff’s work explores the historical evolution of business institutions, with recent publications analyzing topics such as pre-modern Chinese real estate markets , industrial routines , and strategic risk management . His research often employs archival data and interdisciplinary methodologies. His publications span business history, economic performance, and transactional engineering, reflecting trends in historical demography , corporate strategy , and market evolution . Raff has also contributed to academic leadership as a Trustee of the Business History Conference and Chair of committees at the Economic History Association. Daniel Raff actively engages in teaching courses like Value Creation & Val Cap and Deals: Econ Struc Trans , emphasizing critical historical thinking in strategic business analysis. He is affiliated with institutions such as the National Bureau of Economic Research and the Wharton Financial Institutions Center.
John Ford is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University. His research focuses on radiobiology, radiation carcinogenesis, and medical applications of radiation. He holds academic appointments within the College of Engineering and contributes to the Health Physics, Radiation Biology & Medical Physics research group. Education includes a B.S. and M.S. in Nuclear Engineering from Mississippi State University (1982, 1986), a Ph.D. in Biomedical Sciences from the University of Tennessee (1992), and postdoctoral training at Oak Ridge National Laboratory (1992–1993). His work emphasizes understanding radiation effects on biological systems, with notable contributions to radiation dosimetry, bystander signaling mechanisms, and dietary modulation of radiation damage. Recent studies explore space radiation monitoring technologies and therapeutic applications of radiation. Awards include the BP Award for Teaching Excellence (2007) and ARRO Educator of the Year (2013–2014). Research spans interdisciplinary areas such as radiation-induced cancer mechanisms, nutritional interventions to mitigate radiation effects, and advanced radiation detection instrumentation. He has advised numerous projects in radiation safety curriculum development and collaborated on NASA-funded studies modeling radiation impacts on astronauts.
Priya Raman, Ph.D., FCVS, is an Associate Professor of Integrative Medical Sciences at Northeast Ohio Medical University (NEOMED). She holds tenure and serves as Co-Director of the Basic and Translational Biomedicine (BTB) Graduate Program and Chair of the Kent State University-Biomedical Sciences Pharmacology Graduate Program. Her academic roles include teaching in NEOMED’s medical curriculum, focusing on pharmacology, cardiovascular systems, and clinical therapeutics. Raman’s research explores molecular mechanisms linking metabolic disorders (e.g., diabetes, metabolic syndrome) to vascular dysfunction and Alzheimer’s disease, using mouse models and cellular/molecular techniques. She has published extensively on thrombospondin-1, O-GlcNAc signaling, and atherosclerosis pathogenesis. Education: B.Pharm. and M.Pharm. (India), Ph.D. in Pharmacology (University of Louisiana at Monroe). She has over 25 years of postdoctoral and faculty experience, including roles at the Cleveland Clinic and Indiana University School of Medicine. Raman serves on editorial boards for journals like International Journal of Cardiology and Frontiers in Cardiovascular Medicine , and reviews grants for the American Heart Association and NIH. Research focus areas include: (1) Vascular smooth muscle cell phenotypic switching in metabolic diseases, (2) Non-lipid mechanisms of vascular disease in metabolic syndrome, and (3) Interactions between metabolic disorders and neurodegeneration. Her lab employs biochemical assays, mouse models (e.g., ApoE-/-, KKAy), and advanced imaging techniques to study these pathways. Notable recent work includes discovering that O-GlcNAc transferase deletion reduces atherosclerosis in hyperglycemic mice and identifying thrombospondin-1’s role in leptin-driven vascular pathology. She has also linked metabolic syndrome-induced O-GlcNAc deficits to Alzheimer’s-like cognitive impairment in aging mice. Raman is actively involved in interprofessional education and mentoring, directing graduate programs and teaching courses in pharmacology, molecular signaling, and diabetes/vascular disease. Her work bridges basic science and clinical applications, aiming to develop novel therapies for metabolic syndrome-related vascular complications.
Professor Peter F. Driessen is a faculty member in the Department of Electrical and Computer Engineering at the University of Victoria, with a cross-appointment in the School of Music. He holds a BSc and PhD from the University of Victoria and is a Professional Engineer (PEng). His research focuses on communication systems, signal processing, control, and interdisciplinary projects in computer music and wireless technologies. Key areas include audio/video signal processing, radio propagation, sound recording, and multimedia systems. He leads the University of Victoria Propagation Laboratory, which explores radio wave propagation and Amateur radio integration with engineering education. His work spans theoretical research and applied projects like ECOSat satellite systems, software-defined radio (SDR), and innovative musical instruments such as the Radio Drum. He supervises undergraduate and graduate projects in these domains through ELEC 499 courses. Notable contributions include the APEGBC Editorial Board Award for Best Paper (2002) and patents in wireless networking and signal processing. His teaching includes courses in signal analysis and electromagnetics, and he collaborates on interdisciplinary programs like the Music/Computer Science degree. Education: BSc in Electrical Engineering, University of Victoria PhD in Electrical Engineering, University of Victoria Research Interests: Audio and video signal processing for music and media Software-defined radio and Amateur radio technologies Satellite communication and ground station development Gesture-based interfaces and musical instrument design Error mitigation in streaming audio/video Optical and microwave-photonic systems Labs & Collaborations: Propagation Laboratory (radio wave research) UVic Experimental Radio Group (Amateur radio club) UVic Satellite Design Team (ECOSat projects) UVic Centre for Aerospace Research Grants & Awards: APEGBC Editorial Board Award (2002) Multiple US patents in wireless systems and signal processing
Xiang Ji is an Assistant Professor in the Department of Mathematics at Tulane University, affiliated with the School of Science & Engineering. His research focuses on statistical phylogenetics, computational biology, and bioinformatics, particularly in viral evolution and genomic epidemiology. He collaborates with Dr. Wu-Min Deng on cancer biology research from a bioinformatics perspective. Education: Ph.D., 2017: Bioinformatics and Statistics (Co-Major), North Carolina State University M.S., 2013: Material Science and Engineering, North Carolina State University B.S., 2011: Economics (Double Major) and Physics, Peking University Research Interests: Dr. Ji develops statistical models and computational tools for phylogenetic analysis, including scalable algorithms for large-scale genomic data. His work spans viral evolution, zoonotic disease surveillance, and parallel computing libraries for Bayesian inference. He emphasizes practical implementations such as Torchtree and TreeFlow . Articles Trends: Recent publications emphasize viral evolution dynamics (e.g., SARS-CoV-2, avian influenza), genomic surveillance strategies, and computational methods for phylogenetic inference. His work often bridges statistical theory with real-world applications in public health and epidemiology. Advising & Grants: While specific grant details are not listed, his active research program indicates involvement in funding initiatives related to computational biology and viral evolution. He teaches advanced courses in data analysis, linear models, and probability theory. Labs & Teams: Collaborates with Tulane’s Cancer Biology group and maintains partnerships with institutions globally, focusing on genomic epidemiology and phylogenetic software development.
