Ron Reid-Edwards is an Associate Professor at the University of Cambridge, affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) and the Faculty of Mathematics. He is also a Korner Fellow in Mathematics at Trinity Hall, where he has held a College Associate Professor position since 2017. Prior to his current role, he held academic positions at the University of Hull, University of Oxford, City University, London, and the University of Hamburg. Education: PhD in Mathematics from Queen Mary, University of London (2002-2006) His research lies at the intersection of String Theory , Quantum Field Theory , and Twistor Theory , motivated by the goal to understand Quantum Gravity . His work explores non-geometric backgrounds, doubled geometry, and generalized T-duality, with applications to compactification scenarios and gauge-gravity dualities. The 15 most recent publications highlight his focus on foundational questions in String Theory , including ambitwistor strings, lattice gerbes, and flux compactifications. These works often intersect with Supergravity , Conformal Field Theory , and D-brane physics, emphasizing geometric and algebraic structures. Scientific awards include: Korner Fellowship in Mathematics Ron contributes to postgraduate education as the Associate Director of Taught Postgraduate Education in the Faculty of Mathematics, teaching advanced courses such as Part III Advanced Quantum Field Theory and Part III String Theory.
Daniel Robbins is an Associate Professor and Graduate Chair in the Department of Physics at the University at Albany (SUNY). He has held this position since 2016, having previously served as a Research Associate at the University of Texas at Austin (2006-2009), Texas A&M University (2009-2012, 2014-2016), and the University of Amsterdam (2012-2014). Dr. Robbins received his BSc from the University of Alberta in 2000 and his PhD from the University of Chicago in 2006. His educational background laid the foundation for his research in theoretical high-energy physics. Dr. Robbins' research focuses on high-energy theoretical physics, with particular emphasis on string theory, conformal field theory, and supersymmetry. His work explores the structures that arise in quantum field theory and string theory, with a primary goal of understanding the 'space of consistent theories.' He investigates how to determine which quantum field theories are self-consistent, the relationships between different classes of theories, and what quantum consistency conditions reveal about the fundamental laws of our universe. String theory serves as both a candidate for quantum gravity and a rich source of quantum field theory constructions relevant to his research questions. His recent publications (2021-2025) demonstrate a strong focus on non-invertible symmetries, symmetry topological field theory (SymTFT), anomaly resolution, and decomposition. These works reveal a trend toward exploring generalized symmetries beyond traditional group theory, with particular attention to categorical structures and topological aspects of quantum field theories. His research bridges mathematical physics with high-energy theory, contributing to our understanding of quantum consistency conditions and the landscape of possible physical theories. Dr. Robbins has established a productive research program with numerous collaborators, particularly with researchers from Virginia Tech, Texas A&M, and SUNY Albany. His work has appeared in prestigious journals including Journal of High Energy Physics (JHEP), Physical Review D, and SciPost Physics.
Eileen M. Barry serves as Professor in the Department of Medicine at the University of Maryland School of Medicine, with secondary appointments in Medical and Research Technology and Microbiology and Immunology. She directs education for the Center of Vaccine Development & Global Health, leading research on vaccines against enteric pathogens and biodefense threats. Her academic background includes: B.A. in Biology from University of Delaware (1985) Ph.D. in Microbiology and Immunology from Virginia Commonwealth University Medical College of Virginia (1991) Postdoctoral Fellowship at University of Maryland School of Medicine Center for Vaccine Development (1992-1994) Postdoctoral Fellowship at University of Maryland School of Medicine Center for Vaccine Development (1994-1996) Dr. Barry's research focuses on oral live attenuated vaccines targeting Shigella , enterotoxigenic E. coli (ETEC), and Francisella tularensis . Her work spans pathogen engineering, host-pathogen interactions, and clinical translation, with emphasis on pediatric and military applications. Key methodologies include human enteroid models, BSL3/ABSL3 pathogenesis studies, and immunogenicity assessment. Recent publications reveal a strategic shift toward multivalent platforms and advanced organoid systems for predicting human immune responses. Her scientific recognition includes: University System of Maryland PROMISE Alliance Outstanding Faculty Mentor (2015) Faculty Teacher of the Year Award (2011) Teaching Commendation in Host Defenses (2009/2012) As a dedicated mentor, Dr. Barry has served on Graduate Student Admissions Committees since 2007 and received special recognition for advancing underrepresented STEM students. Her substantial NIH funding portfolio includes: P01AI125181: Pathogenesis of E. Coli and Shigella in Human Enteroid Models (2016-2021) R01AI125841: Serological Assays for Shigella Vaccine Efficacy (2016-2021) R01AI123129: Tularemia Vaccine Protection Correlates (2016-2021) Her laboratory operates BSL2/3 and ABSL2/3 facilities, integrating genetic engineering, organoid models, and genomics to dissect enteric pathogenesis and accelerate vaccine development for global health impact.
Sigurd Skogestad is Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). He serves as Program Leader for the 5-year Master program in Chemical and Biochemical Engineering. His research develops simple yet rigorous methods to solve engineering problems, focusing on self-optimizing control structures that enable near-optimal operation under varying conditions. His approach moves economic optimization from slow real-time optimization to faster control layers. Key research areas: Self-optimizing control structures Process systems engineering Multivariable feedback control Plantwide process control Distillation modeling and control He has received significant recognition including the AIChE Computing in Chemical Engineering Award and IFAC Fellow status. He leads research groups in Process Control and contributes to the SUBPRO center on subsea production.
Nausheen Husain is an Assistant Professor in the Magazine, News and Digital Journalism department at Syracuse University's S.I. Newhouse School of Public Communication. She is a tenure-track faculty member specializing in data journalism, civil liberties issues, and coverage of Muslim communities in the context of the 'War on Terror.' As a 2023-2025 Lender Center for Social Justice faculty fellow, she leads research examining American news coverage of post-9/11 security infrastructures and their impact on Muslim communities. Her research interests focus on the intersection of data journalism and underrepresented communities, particularly examining how surveillance, incarceration, and civil liberties issues affect Muslim Americans. She investigates how media coverage shapes public understanding of 'War on Terror' infrastructures, including communication management units, FBI stings targeting young Muslim men, and surveillance operations in Muslim neighborhoods. Her work emphasizes using data analysis and documents-focused reporting to bolster stories about civil rights issues and inequities. Husain's recent publications demonstrate a consistent focus on civil liberties, incarceration systems, and the impacts of security policies on marginalized communities. Her investigative work often employs FOIA requests and data analysis to uncover patterns in prison conditions, surveillance practices, and policy implementation. She has developed expertise in using R and Python for data parsing, Datawrapper for visualization, and MAXQDA for research-based data analysis. Scientific Awards: 2023-2025 Lender Center for Social Justice faculty fellow Husain actively mentors students in data journalism practices and has incorporated Newhouse students into investigative projects, such as the analysis of Muslims affected by the 2017 Muslim Ban. Her academic research connects with practical journalism applications, focusing on how data can be used to cover underrepresented communities while maintaining ethical standards. She frequently speaks about news coverage of the 'War on Terror,' data journalism techniques, and the limitations of using data in reporting. Husain leads projects including 'Islam For Reporters,' which tracks anti-Muslim hate crime data and provides resources on Islam-related terminology, and 'Driving Force,' an investigation into New York state police vehicle crashes. Her approach combines technical data skills with deep community engagement, particularly with Muslim communities affected by security policies.
Claudia Klüppelberg is a Professor and Chair of Mathematical Statistics at the Center for Mathematical Sciences, Technische Universität München (TUM). Her academic journey includes positions at ETH Zurich, University of Mainz, and TUM since 1997. She holds a Carl von Linde Senior Fellowship at TUM-IAS, focusing on Risk Analysis and Stochastic Modeling. Her research bridges applied probability, statistics, and their applications in finance and insurance, emphasizing extreme value theory, risk processes, and stochastic networks. She has received prestigious awards such as the New Frontiers in Risk Management Award (2007) and Cross of Merit (2001). Her work addresses real-world challenges in financial risk management, including systemic risk in networks and operational risk modeling. Her recent publications explore causal analysis of extreme risks in networks, max-linear models, and Bayesian networks for extreme events. She contributes to academic leadership as an editorial board member and advisor, promoting interdisciplinary stochastic sciences.
Luisa Fatigati is a Research Fellow at CNR-IRISS since 2020, specializing in urban and socioeconomic research with a focus on land use, cultural heritage protection, and community-driven urban regeneration. She holds a PhD in Architectural and Urban Composition and employs action research methodologies to explore adaptive reuse of historical assets. Specializes in participatory urban planning and GIS applications Co-founder of Archipicchia-Architecture for Children Technical coordinator at Goldstein Architettura since 2007 Her research integrates theoretical frameworks with field experiments across Italy, emphasizing: Transformability conditions of urban spaces Social sharing in heritage conservation Operational laboratories for commons dissemination Recent publications analyze: Sustainable service systems for cultural heritage GIS-based territorial mapping Gender-sensitive urban practices Community-led reuse of religious assets Contact: l.fatigati@iriss.cnr.it
Timo Weidl is a Professor and Chair of Analysis and Mathematical Physics at the University of Stuttgart's Institute of Analysis, Dynamics, and Modeling. His research focuses on spectral analysis of differential operators, particularly in quantum mechanics, with applications to eigenvalue inequalities and operator theory. He has authored or co-authored influential works on Lieb-Thirring inequalities, Hardy inequalities, and spectral estimates in various geometric settings. His academic roles include teaching advanced mathematics courses (e.g., Höhere Mathematik 1/2 for physics and engineering students) and supervising graduate research. He contributed to the Ari Laptev anniversary volume on partial differential equations and spectral theory. His research spans topics like trapped modes in elastic plates, magnetic field effects in spectral gaps, and semiclassical bounds in quantum systems. Weidl’s work bridges pure mathematics and mathematical physics, addressing foundational questions in operator theory and their implications for physical systems. His recent outputs emphasize refining spectral inequalities and exploring geometric influences on eigenvalue distributions.
Vladimir V. Terzija is a prominent researcher specializing in power systems engineering with a focus on smart grid technologies, synchronized measurement systems, and power system protection. His extensive publication record spans over two decades, demonstrating continuous contributions to the field of electrical power engineering across numerous IEEE journals and conferences. Terzija's research primarily centers on advanced power system monitoring, protection, and control methodologies. His work has significantly contributed to the development of synchronized measurement technology applications, fault analysis algorithms, and state estimation techniques for modern power systems. He has pioneered approaches for wide-area monitoring systems, transmission line fault analysis, and integrating renewable energy resources into power grids while maintaining stability and reliability. His research spans from fundamental power system theory to practical implementations addressing contemporary challenges in grid operation. Analysis of his recent publications reveals a strong focus on integrating artificial intelligence and machine learning techniques into power system applications, particularly for condition monitoring, anomaly detection, and predictive maintenance. His work increasingly addresses challenges posed by the energy transition, including grid stability with high renewable penetration, multi-energy system integration, and advanced control strategies for low-inertia power systems. The interdisciplinary nature of his research connects power engineering with data science, optimization theory, and cybersecurity. Throughout his career, Terzija has collaborated extensively with researchers across Europe and internationally, as evidenced by his numerous co-authored publications with institutions worldwide. His work appears consistently in top-tier IEEE publications, indicating recognition by the power engineering community. While specific awards aren't documented in the available publication records, his sustained research productivity and influence in the field suggest significant professional recognition. Terzija has supervised numerous research projects focused on power system monitoring and control, with particular emphasis on practical implementations that bridge theoretical developments with real-world grid applications. His work on WAMS (Wide Area Monitoring Systems), fault location algorithms, and state estimation techniques has contributed to advancing grid operational capabilities. The research trajectory shows increasing focus on addressing challenges associated with renewable energy integration, grid digitalization, and maintaining stability in modern power systems. His research group appears to focus on developing advanced monitoring and control systems for power networks, with particular expertise in synchrophasor technology applications. The collaborative nature of his work suggests involvement in international research consortia addressing contemporary power system challenges, particularly those related to grid stability in systems with high renewable penetration and the development of intelligent monitoring solutions for power infrastructure.
Shiyoung Roh, MD is a Professor in the Department of Surgery at UMass Chan Medical School, affiliated with Lahey Hospital & Medical Center. His primary role focuses on ophthalmologic care and telemedicine innovations. He holds an MD from Tufts University School of Medicine and a BA in Chemistry from Wesleyan University. Roh’s research emphasizes improving patient follow-up for chronic eye conditions like glaucoma and diabetic retinopathy through telehealth strategies. His work addresses healthcare accessibility, particularly for minority populations, and explores cost-effective care models during public health crises. Key areas include telemedicine implementation, pandemic response in ophthalmology, and optimizing clinical workflows for chronic disease management. His recent publications highlight telehealth’s role in reconnecting patients with subspecialty care, managing age-related macular degeneration, and enhancing diabetic retinopathy screening. Roh collaborates closely with colleagues like David Ramsey on projects analyzing telehealth’s financial viability and patient engagement strategies. Roh is part of a surgical team at UMass Chan - Lahey, contributing to interventional ophthalmology and clinical research initiatives. His network includes collaborators focused on glaucoma, retinal diseases, and telemedicine integration in healthcare systems.
Sebastian Andres is Professor of Stochastics at TU Braunschweig's Institute of Mathematical Stochastics. His research focuses on random processes in disordered media, including homogenization of random walks, percolation theory, and heat kernel analysis. He holds a habilitation from University of Bonn and previously held positions at University of Cambridge and University of Manchester. Research Themes: Quantitative homogenization, invariance principles for degenerate random walks, and applications to mathematical physics. Teaching: Current courses include Probability Theory and Discrete Financial Mathematics; authored lecture notes on Martingale Theory for Finance.
Prof. Dr. Matthias Hieber is a Professor of Applied Analysis at the Fachbereich Mathematik, Technische Universität Darmstadt. His research focuses on Partial Differential Equations, Fluid Dynamics, Evolution Equations, and Harmonic Analysis. He leads the Applied Analysis research group and contributes to interdisciplinary projects involving geophysical fluid models. His editorial roles include Editor-in-Chief of Differential and Integral Equations and involvement with journals like Evolution Equations and Control Theory . Recent teaching activities include courses on Partial Differential Equations and Functional Analysis. He collaborates on DFG-funded projects analyzing nonlinear PDEs in geophysical contexts and liquid crystal dynamics. His work bridges pure mathematics with applications in fluid mechanics and climate modeling. Education: Doctorate in Mathematics (not explicitly stated, inferred from academic rank) Labs/Teams: Applied Analysis Research Group Grants: DFG Research Group on Geophysical Fluid Models, Humboldt Fellowship for Dr. Arnab Roy Research highlights include global well-posedness studies for the primitive equations and stochastic fluid models, analysis of liquid crystal dynamics, and rigorous justification of hydrostatic approximations. His contributions to operator theory and semigroup methods underpin many results in fluid dynamics and PDE analysis.
Elizabeth C Thompson is Dean of Pembroke College and holds dual appointments as Assistant Professor of the Practice in Cognitive and Psychological Sciences and Assistant Professor of Psychiatry and Human Behavior (Research) at Brown University. She is a licensed psychologist in Rhode Island, with a Ph.D. in Clinical Psychology from the University of Maryland, Baltimore County, and postdoctoral training at Alpert Medical School and Brown University Health. Her research focuses on psychosis-spectrum disorders in adolescence, emphasizing risk factors, screening methods, and intervention strategies for mental health and safety risks. Dean, Pembroke College Assistant Professor of the Practice, Cognitive and Psychological Sciences Assistant Professor of Psychiatry and Human Behavior (Research) At Brown, Dr. Thompson operates within the Department of Cognitive and Psychological Sciences and the Department of Psychiatry and Human Behavior. She teaches clinical psychology courses and advises students pursuing psychology careers. Her clinical work centers on early psychosis through Bradley Hospital’s Stride Clinic, offering assessment and consultation services for Rhode Island youth and families. Her research includes pilot trials on family-oriented interventions for hospitalized adolescents with psychosis-spectrum symptoms and funded projects on sleep characteristics linked to psychosis-spectrum disorders, supported by the COBRE Center for Sleep and Circadian Rhythms. She collaborates extensively with researchers like Jennifer Wolff, Sarah Thomas, and Anthony Spirito. Dr. Thompson’s recent publications (2024–2019) span topics such as hallucinations and suicidal imagery, cannabis vaping effects, sleep disturbances, social media’s role in mental health, and trauma’s impact on psychosis. Her work often intersects with the Adolescent Mental Health Collaborative (AMHC) and utilizes interdisciplinary approaches, including actigraphy, biomarkers (e.g., interleukin-1 beta), and qualitative methods. She has secured NIH/NIMH, AFSP, and COBRE grants for studies like the LINC and Safety Net projects, reflecting her commitment to translating research into clinical practice. K23 MH119211 (NIH/NIMH): Treatment Engagement Protocol for Post-Discharge Psychosis Care YIG-1-167-19 (AFSP): Safety Planning for High-Risk Teens COBRE Center Grant: Sleep and Psychosis in Adolescents Her lab, SPARK Lab, partners with specialized clinics and emphasizes training opportunities in mental health research. She also contributes to policy discussions around early psychosis care quality and access, advocating for psychological expertise in healthcare synthesis. No scientific awards are explicitly mentioned, though her grant-funded research underscores her academic influence.
Maria Carrera Arce is a Lecturer in Maritime Safety & Environmental Administration at World Maritime University, specializing in maritime psychology and human factors. With a PhD from the University of Cantabria and postgraduate certifications in ergonomics, her research examines seafarer mental health, safety culture, work-rest compliance, and crisis impacts like COVID-19. Her extensive publication record addresses psychological wellbeing in maritime contexts, including shore leave access, fatigue management systems, regulatory compliance disparities, and just culture implementation. Carrera Arce developed participatory research methodologies during her tenure at Lloyd's Register and the Social Psychiatry Research Unit of Cantabria (WHO Collaborating Centre).
Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.
