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Todd AdamsView profile

Professor

• Particle Physics
• High Energy Physics
• Neutrino Physics
• +3 more

Todd Adams is a Professor in the Department of Physics at Florida State University . He leads research in particle physics (high energy experiment) with the CMS Experiment at CERN and previously the D0 Experiment at Fermilab , focusing on searches for new physics in underexplored datasets through long-lived particles , machine learning techniques , and charged particle detection . Education : PhD in Experimental Particle Physics from University of Notre Dame (1997); Postdoctoral researcher at Kansas State University (1997-2001) His research includes electromagnetic calorimeter studies for CMS, calorimeter upgrade investigations , and Monte Carlo simulation leadership for D0. He pioneered searches for neutral long-lived particles and top quark decay anomalies , co-authored key publications in Physical Review Letters and Journal of High Energy Physics , and served as Faculty Senate President and Board of Trustees member at FSU. Notable affiliations include: Collaborations : CMS, D0, NuTeV, NuSOnG Laboratories : CERN (Geneva), Fermilab (Chicago), Florida State High Energy Physics Group Key contributions: Co-convenor of D0 Monte Carlo Simulations and New Physics Signatures groups Expert in heavy quark production , dimuon analysis , and neutral current studies Publications on Higgs boson discovery implications, supersymmetry , and anomalous gauge couplings Scientific Awards : Fellow, American Association for the Advancement of Science Multiple Fermilab Result of the Week highlights (2006, 2008, 2013) Contributor to CMS Thesis Award Committee He advises graduate students in experimental particle physics and contributes to detector technology development, particularly in timing studies , calibration , and trigger systems . His research program will continue through the LHC's 2035 operations with ongoing CMS data analysis.

Suzanne S. LeeView profile

Associate Professor

• Financial Econometrics
• Empirical Finance
• Asset Pricing
• +6 more

Suzanne S. Lee is an Associate Professor of Finance at the Scheller College of Business, Georgia Institute of Technology, where she has been a faculty member since 2005. She also serves as the Ph.D. Coordinator, playing a key role in graduate education and research training. Her educational background is highly quantitative and interdisciplinary: Ph.D., University of Chicago MBA, University of Chicago M.S. in Statistics, University of Chicago Dr. Lee's research lies at the intersection of asset pricing and financial econometrics, with a strong focus on jump processes, market microstructure, and derivative markets. She investigates how sudden price movements (jumps) impact asset returns, risk, and information flow in financial markets. Her work extends to cryptocurrency, currency markets, and carry trade strategies, combining theoretical rigor with empirical validation using high-frequency data. The analysis of her recent publications (2008–2024) reveals a consistent and influential research program centered on detecting and modeling jumps in financial time series. Her work spans equity, currency, and cryptocurrency markets, often employing advanced nonparametric and econometric techniques. A recurring theme is the role of jumps in pricing anomalies, risk measurement, and market efficiency, with increasing attention to digital assets in recent years. Dr. Lee is actively engaged in the academic community through editorial service: Associate Editor, Journal of Banking and Finance Associate Editor, Asia-Pacific Journal of Financial Studies She has presented her research at premier conferences such as the American Finance Association, European Finance Association, Econometric Society, and Society for Financial Econometrics. Her publications appear in the most prestigious journals in finance and econometrics, including the Journal of Finance , Review of Financial Studies , Journal of Financial Economics , and Journal of Econometrics . While specific grant details are not listed, her sustained publication record in top journals indicates significant research funding and academic impact. She advises Ph.D. students through her role as Ph.D. Coordinator, though individual advisees are not named in the text. Dr. Lee's work contributes to both theoretical and applied finance, improving our understanding of market dynamics, risk modeling, and asset pricing under extreme events. Her research has practical implications for risk management, trading strategies, and financial regulation.

• Inverse Problems
• Partial Differential Equations
• Mathematical Physics
• +3 more

Ali Feizmohammadi is an Assistant Professor, Teaching Stream (LTA) in the Department of Mathematics at the University of Toronto Mississauga, affiliated with the Mathematical and Computational Sciences division. His research focuses on inverse problems, partial differential equations, and geometric analysis. He holds a position emphasizing teaching excellence within the university's framework. His work addresses advanced mathematical challenges such as coefficient identification in subdiffusion equations, fractional Laplacian problems on Riemannian manifolds, and nonlinear elliptic equations on manifolds. Recent articles highlight contributions to the Calderón problem in various contexts, wave equation control, and spacetime finite element methods. No scientific awards or grants are explicitly listed in the provided information. He has not yet listed advisees in the available data. His research trends emphasize rigorous mathematical analysis of inverse problems in both classical and fractional PDE frameworks, with applications to geometric and control-theoretic questions. Dr. Feizmohammadi's work spans theoretical advancements in inverse problems, numerical methods for control systems, and the interplay between differential geometry and PDEs. His contributions address both fundamental theory and applied methodologies in mathematical physics and engineering.

Andrew SpakowitzView profile

Professor

• Chromosomal organization and dynamics
• Protein self-assembly
• Polymer membranes
• +7 more

Andrew Spakowitz is a Professor of Chemical Engineering, Materials Science and Engineering, and by courtesy, Applied Physics and Chemistry at Stanford University. He currently serves as the Senior Associate Dean for Research and Faculty Affairs and holds the Tang Family Foundation Chair of the Department of Chemical Engineering. His academic career at Stanford spans from Assistant Professor (2006-2014) to Associate Professor (2014-2020) and now Professor since 2020. Dr. Spakowitz earned his PhD in 2004, MS in 2001 from the California Institute of Technology, and his BS in Chemical Engineering from the University of Wisconsin, Madison in 1999. He completed postdoctoral training in Molecular and Cell Biology and Biophysics at UC Berkeley from 2004-2006. His research focuses on theoretical and computational approaches to understanding biological processes and complex materials. The Spakowitz lab addresses fundamental chemical and physical phenomena through four main research themes: chromosomal organization and dynamics, protein self-assembly, polymer membranes, and charge transport in conducting polymers. His group employs diverse theoretical and computational methods including analytical theory of semiflexible polymers, polymer field theory, continuum elastic mechanics, Brownian dynamics simulation, equilibrium and dynamic Monte Carlo simulations, and reaction-diffusion modeling. Analysis of his recent publications reveals a strong emphasis on epigenetics and chromatin dynamics, with significant work on DNA methylation patterns, nucleosome clustering, and chromosome organization. His research also extends to polymer physics applications in biological systems, particularly in respiratory diseases, water purification membranes, and bacterial phage interactions with human mucus. Tang Family Foundation Chair of the Department of Chemical Engineering Professor Spakowitz mentors several graduate students and postdoctoral scholars in the Chemical Engineering and Materials Science departments. His lab members work on diverse projects spanning from chromatin dynamics to polymer membranes for water purification. He teaches multiple courses including CHEMENG 120B (Energy and Mass Transport), CHEMENG 340 (Molecular Thermodynamics), CHEMENG 466 (Polymer Physics), and CHEMENG 467 (Physics of Biomacromolecules). The Spakowitz lab operates from Clark S295 at Stanford University, conducting theoretical and computational research that bridges chemistry, physics, biology, and engineering disciplines to address complex problems across multiple length and time scales.

• Financial Analysis
• Equity Valuation
• Life Insurance
• +3 more

Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.

Wim GeversView profile

Professor

• Cognitive control
• Metacognition
• Working memory
• +3 more

Wim Gevers is a faculty member at the Université libre de Bruxelles (ULB) and leads the CS4S – Cognitive Control & Sleep laboratory within the CRCN research centre. His work bridges cognitive psychology, neuroscience and sleep research to understand how the brain exerts control over thoughts and actions and how sleep contributes to these processes. Research Interests Cognitive Control & Metacognition: Investigating how subjective experiences such as confidence and the "urge-to-err" guide strategic adjustments in behaviour. Working Memory & Ordinal Cognition: Examining how order information is maintained and manipulated, and how these processes relate to mathematical competence. Sleep, Memory & Decision Making: Exploring how sleep-dependent consolidation influences motor learning and decision strategies. Across his 2022–2025 publications a clear trend emerges: a focus on metacognitive monitoring —how humans evaluate their own cognitive states—and the role of emotional and temporal context in shaping those evaluations. Studies range from reaction-time introspection and confidence judgements in perceptual tasks to the impact of aging and depression on metacognitive accuracy. Doctoral Supervision & Mentoring Whitney Stee (PhD 2024) – Sleep-dependent structural brain reorganization & motor learning Gaia Corlazzoli (PhD 2024) – Subjective experience in decision-making Myrtille Dewulf (PhD 2023) – Ordinal coding mechanisms in working memory Rebeca Sifuentes-Ortega (PhD 2023) – REM sleep and memory reactivation All dissertations were defended at ULB, Faculté des Sciences psychologiques et de l’éducation, with Wim Gevers formally listed as Promotor . Laboratory & Collaborative Networks As head of CS4S, Gevers coordinates a multidisciplinary team that combines behavioural experimentation, EEG/MEG, computational modelling and sleep polysomnography. The lab is embedded in the larger CRCN ecosystem, fostering collaborations with groups such as CO3 (consciousness), LCLD (language & deafness), and UR2NF (neurofunctional imaging).

Yao YangView profile

Assistant Professor

• Electrochemistry
• Materials Science
• Energy Materials
• +3 more

Yao Yang is an Assistant Professor in the Department of Chemistry and Chemical Biology at Cornell University's College of Arts and Sciences. His research focuses on developing multimodal operando electron microscopy and synchrotron X-ray methods to probe electrochemical dynamics at solid-liquid interfaces for energy materials. PhD, Cornell University (2021) Miller Postdoctoral Fellow, UC Berkeley (2021-2024) Research interests span fundamental electrochemistry and energy material interfaces, particularly CO2 reduction, clean H2 production, and rechargeable batteries. The Yang group specializes in operando electrochemical liquid-cell scanning transmission electron microscopy (EC-STEM) and correlative synchrotron X-ray methods at Cornell Center for Materials Research (CCMR) and Cornell High Energy Synchrotron Source (CHESS). Recent publications highlight atomic-scale imaging of catalyst dynamics, Tafel slope analysis, and epitaxial growth techniques for enhanced electrocatalysts. Articles demonstrate interdisciplinary approaches combining electrochemistry, nanoscience, and advanced characterization. Scientific Awards: 2025 ACS Materials and Interfaces Outstanding Presentations by Young Investigators Award 2024 Journal of Materials Research Distinguished Invited Speaker Miller Postdoctoral Fellowship (2021-2024) 2023 Best Early Career Presentation at MRS Spring 2022 ACS AC/DC Rising Stars in Analytical Chemistry Contact: yaoyang@cornell.edu

Peter K. KitanidisView profile

Professor

• Groundwater Flow
• Hydrologic Modeling
• Inverse Problems
• +3 more

Peter K. Kitanidis is a Professor in the Department of Civil and Environmental Engineering and the Institute for Computational and Mathematical Engineering at Stanford University . His research focuses on groundwater flow , hydrologic forecasting , and stochastic inverse modeling , with applications to pollutant remediation and CO₂ storage monitoring . Education : Diploma, National Technical University of Athens (1974) M.S., MIT (1976) Ph.D., MIT (1978) Research Interests : Groundwater modeling and contaminant transport Hydraulic tomography and aquifer characterization Stochastic methods for uncertainty quantification Bioremediation and enhanced in-situ pollutant decay Dilution and mixing processes in heterogeneous media Real-time river flow forecasting Scientific Awards : L.G. Straub Award (1979) W.L. Huber Research Prize (1994) ISI Highly Cited Researcher (2001) AGU Hydrologic Sciences Award (2011) ASCE Pioneers in Groundwater Lecturer (2011) Advising and Grants : Advised 20+ PhD and MS students (1978–2018) Principal investigator on NSF, EPA, and DOE-funded projects Developed software for groundwater data analysis and CO₂ monitoring Contributed to bioremediation protocols and hydraulic tomography algorithms Labs and Teams : Kitanidis Laboratory for groundwater crisis solutions Collaborated with Oak Ridge National Laboratory and Stanford Hydrogeology Group Mentored postdocs (2000–2017) in reactive transport and inverse modeling

• Energy Systems Optimization
• Conceptual Process Design
• Life Cycle Assessment
• +8 more

Prof. Dr. André Bardow is a Full Professor in Energy and Process Systems Engineering at ETH Zurich , leading research at the intersection of thermodynamics, machine learning, and sustainable energy systems. Previously, he held professorships at RWTH Aachen University (2010-2020) and TU Delft (2007-2010). He also served as part-time director at Forschungszentrum Jülich (2017-2022) and visiting professor at UC Santa Barbara (2015/16). His work focuses on energy systems optimization , computer-aided molecular design , and CO2 capture & utilization . PhD from RWTH Aachen University Current ETH Zurich affiliation Former roles at RWTH Aachen, TU Delft, Jülich Research Center His research integrates machine learning with thermodynamic modeling to optimize processes like crystallization and electrochemical cooling . Recent publications demonstrate advancements in solvent design, CO2 transport LCA, and ORC working fluid optimization. He chairs the VDI Technical Committee for Thermodynamics (2016-2024) and has received multiple awards including the Covestro Science Award and Arnold-Eucken-Award . Current projects address carbon circular economies , electrified chemical production , and AI-driven process optimization . His lab at ETH Zurich develops cutting-edge technologies like ML-CAMPD frameworks for sustainable separation processes and photoacid-based CO2 capture systems. Funding from the H2020 Systemic Expansion of Circular Ecosystems (grant 101036854) supports these initiatives. 2024 Clarivate Highly Cited Researcher 2022 Inaugural Lecture: "To sustainability and beyond: A computer-animated story on energy & chemicals" Recipient of multiple teaching and research excellence awards

Steven L. ManlyView profile

Professor

• High Energy Physics
• Nuclear Physics
• Gravitational Physics
• +3 more

Steven L. Manly is a Professor of Physics at the University of Rochester within the College of Arts, Sciences and Engineering. He has been affiliated with the University of Rochester since 1998, following a decade at Yale University as both a postdoc and faculty member. Professor Manly received his BA in chemistry, mathematics, and physics from Pfeiffer College in 1982 and his PhD in experimental high-energy physics from Columbia University in 1989 under Charles Baltay. His research spans high energy, nuclear, and gravitational physics, with a current focus on neutrino physics across multiple major experiments. His primary research interests include neutrino interactions and oscillations, with significant contributions to the T2K experiment (for which he shared the 2016 Breakthrough Prize in Fundamental Physics), the MINERvA experiment at Fermilab, and the Deep Underground Neutrino Experiment (DUNE). His work aims to understand neutrino properties, measure oscillation parameters, and investigate potential connections to matter-antimatter asymmetry in the universe. The recent publications reflect a strong focus on neutrino cross-section measurements, detector calibration techniques, and data analysis methods for the T2K and DUNE experiments. His research group contributes significantly to advancing our understanding of neutrino properties and interactions through precision measurements. NY State Professor of the Year (2003) Mercer Brugler Distinguished Teaching Professor (2002-2005) American Association of Physics Teachers (AAPT) Award for Excellence in Undergraduate Teaching (2007) Breakthrough Prize in Fundamental Physics (2016, shared as member of T2K) Professor Manly has authored or co-authored numerous publications in leading physics journals, with recent work focusing on neutrino interaction measurements, detector development, and data analysis techniques. His research has involved collaborations with major international facilities including Fermilab, J-PARC in Japan, and Brookhaven National Laboratory. While specific grant information isn't detailed in the provided text, his participation in large-scale international collaborations suggests significant research funding support.

Guy WallisView profile

Professor

• Visual neuroscience
• Object recognition
• Visuomotor control
• +5 more

Professor Guy Wallis is a Professor and Director of Research at the School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also an Affiliate of the Centre for Sensorimotor Performance. His work bridges visual neuroscience, computational modeling, and applied human factors research, with significant contributions to understanding visual recognition and visuomotor behavior. Education: Bachelor (Honours) of Engineering in Electrical and Electronic Engineering from Imperial College London PhD in Visual Neuroscience from University of Oxford, UK Prof. Wallis's research program combines computational modeling with behavioral studies, many conducted in computer-controlled virtual environments. His work spans visual neuroscience, object recognition, visuomotor control, and simulator-based training. He has made significant theoretical contributions to understanding how visual recognition is achieved in biological systems and how everyday visuomotor tasks are regulated, challenging existing paradigms and offering new insights. His recent publications reveal a strong focus on virtual reality applications, visual-motor integration challenges, and cross-species cognitive studies. There's a clear trend toward investigating how virtual environments can be optimized for training and assessment, with particular attention to visual perception limitations and how humans adapt to these environments across diverse contexts from surgical training to aviation. Scientific Awards and Recognitions: Elected Fellow of the Queensland Academy of Arts and Sciences (2022) ARC Medical Research Advisory Group (2022-2024) ARC College of Experts (2019-2021) CSIRO CSS Human Research Ethics Committee member (2020-2022) UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018) ARC Future Fellowship (2011-2014) ARC QEII Fellowship (2003-2007) UQ Postdoctoral Fellowship (2001-2003) Prof. Wallis has successfully secured funding from major organizations including the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust. His industry partnerships span diverse sectors such as construction training, mining, healthcare, and aerospace. His research has led to the development of novel training programs for health professionals, impacted the design of man-machine interfaces for mining equipment, and informed the design parameters for pilot training systems. As Director of Research, he oversees the research direction of the School of Human Movement and Nutrition Sciences, fostering interdisciplinary collaborations and supporting early-career researchers through his leadership in the Centre for Sensorimotor Performance.

Bradley NelsonView profile

Professor

• Microrobotics
• Nanorobotics
• Medical Robotics
• +3 more

Bradley Nelson is a Full Professor of Robotics and Intelligent Systems at ETH Zürich since 2002, leading the Institute for Robotics and Intelligent Systems. He holds a Ph.D. in Robotics from Carnegie Mellon University (1995), with prior roles as Assistant Professor at the University of Illinois at Chicago (1995-1998) and Associate Professor at the University of Minnesota (1998-2002). His research focuses on microrobotics and nanorobotics for biomedical applications, including targeted drug delivery and medical robotics. He leads the Microrobotics Lab (MSRL) and chairs international workshops/conferences. Awards include IEEE and ASME Fellowships, and Best Paper accolades at major robotics venues. Research interests emphasize magnetic microrobot navigation, smart materials, and clinical translation of robotic systems. His work bridges engineering and medicine, addressing challenges like cerebral vasculature navigation for drug delivery. He has developed electromagnetically controllable catheters and telesurgery frameworks. Leadership roles include Head of the ETH Department of Mechanical and Process Engineering and Chairman of the ETH Electron Microscopy Center (EMEZ). Notable contributions include magnetically guided microcatheters, variable-stiffness catheters, and clinical-ready navigation systems. Ongoing projects explore magnetoelectric effects and biodegradable micromotors for environmental and biomedical uses. His lab collaborates with industry and academic partners globally to advance robotic solutions for healthcare challenges.

• Nonlinear partial differential equations
• Singularity formation
• Mathematical analysis
• +2 more

Manuel Del Pino is Professor at the University of Bath's Department of Mathematical Sciences and Royal Society Professor specializing in nonlinear partial differential equations. His research focuses on singularity formation, geometric evolution equations, and asymptotic analysis in fluid dynamics and mathematical physics. His investigations encompass blow-up phenomena in heat equations, vortex dynamics in Euler flows, and minimal surface theory. Current projects examine infinite-time singularity formation in parabolic equations and asymptotic properties of vortex configurations. Del Pino has received the Royal Society Professorship and leads multiple grants including 'Asymptotic patterns in nonlinear evolution problems' (EPSRC). He maintains collaborations with researchers globally through projects on singularity formation in PDEs.

Rachel HildebrandView profile

Associate Clinical Professor

• Concussion
• Repetitive Head Trauma
• Vestibulotherapy
• +6 more

Rachel Hildebrand is a Clinical Associate Professor in the Department of Kinesiology & Rehabilitative Sciences at the Oxley College of Health & Natural Sciences, The University of Tulsa. She serves as the Program Director for the Master of Athletic Training program, Director of Interprofessional Education, and Co-Director of the Concussion Center, playing key leadership roles in academic and clinical initiatives. Her research focuses on the impact of repetitive head trauma on cognition, balance, reaction time, and symptoms in athletes. Areas of expertise include concussion management, vestibulotherapy, and interprofessional and interdisciplinary education. Her work bridges clinical practice and academic training, promoting collaborative healthcare models. Rachel holds a Ph.D. from Oklahoma State University, an M.Ed. from Xavier University, and a BSAT from The University of Tulsa. She is certified as an Athletic Trainer (ATC), Licensed Athletic Trainer (LAT), Certified Brain Injury Specialist (CBIS), and Vestibular Rehabilitation Therapist (VRT). She actively contributes to state, regional, and national committees in athletic training and concussion research, demonstrating strong professional engagement. Though no publications or awards are listed in the provided text, her leadership positions suggest significant scholarly and service contributions. Dr. Hildebrand is also involved in institutional initiatives such as interprofessional education and concussion research through the Concussion Center. Her work supports student training, clinical innovation, and community health, particularly in sports-related neurological injury prevention and rehabilitation.

• Statistical Physics
• Complex Systems
• Thermodynamics
• +2 more

Massimiliano Esposito is a Full Professor of Theoretical Physics at the University of Luxembourg, affiliated with the Faculty of Science, Technology and Medicine (FSTM) and the Department of Physics and Materials Science. His research focuses on statistical physics, complex systems, thermodynamics, chemical networks, and quantitative biology. He holds positions such as ERC Fellow (2016-2021) and Attract Fellow (2012-2017). Education includes a Ph.D. in Sciences (2004) and a degree in Chemistry (2000) from the Free University of Brussels (Belgium), alongside a European Baccalaureate (1996) from Luxembourg. His work bridges stochastic thermodynamics, quantum thermodynamics, and chemical reaction networks, with contributions to fluctuation theorems, energy transduction, and non-equilibrium systems. Key achievements include seminal papers on nonequilibrium fluctuation-response relations, quantum thermodynamics, and chemical reaction network theory. He has been a guest editor for journals like Physica A and Physical Review X, and serves on editorial boards such as Physical Review Letters. His lab explores emergent phenomena in complex systems, with applications in biology and nanotechnology.