Sung-Sik Lee is a Professor of Physics & Astronomy at McMaster University. His research focuses on emergent phenomena in quantum matter, particularly in strongly correlated electron systems, quantum field theory, and quantum gravity. He explores how quantum fluctuations lead to unexpected behaviors like superconductivity and fractionalization. His work also investigates gravity as an emergent phenomenon from quantum matter. Education: B.S., Korea Advanced Institute of Science and Technology (KAIST) M.Sc. and Ph.D., Pohang University of Science and Technology (POSTECH) Research Interests: Condensed matter physics, including quantum criticality and non-Fermi liquids Quantum field theory approaches to emergent spacetime and gravity Holographic duality and quantum renormalization group methods Topological phases and superconductivity in quantum materials Teaching: Courses include Electromagnetic Theory (PHYSICS 6B03/4B03), Advanced Quantum Mechanics I (PHYSICS 739), and Statistical Mechanics. Labs/Teams: His research group focuses on theoretical condensed matter physics and quantum gravity, leveraging advanced analytical and numerical methods.
Roy Goodman is a Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT). His research focuses on nonlinear dynamics, quantum graphs, fluid dynamics, and Bose-Einstein condensates. He has been Principal Investigator (PI) or Co-PI on multiple National Science Foundation grants, including active projects on vortex dynamics and symbolic computation. His work spans theoretical and computational approaches to problems in applied mathematics, with notable contributions to vortex interactions, quantum graph simulations, and nonlinear wave phenomena. Goodman has published extensively in journals like SIAM Journal on Scientific Computing and Physics of Fluids, and his research has been cited over 961 times. Recent projects include developing the QGLAB MATLAB package for quantum graph computations and studying scattering dynamics in vortex systems. He has advised multiple federal grants and contributes to computational mathematics education at NJIT. Key collaborations include work on symbolic computation (SYMCAR project) and computational mathematics training for undergraduates. His research often bridges mathematical theory with applications in physics and engineering.
Alain Pumir is a Professor and Research Director at the French National Centre for Scientific Research (CNRS), affiliated with the École Normale Supérieure de Lyon (ENS Lyon) since 2008. He holds an external scientific membership at the Max Planck Institute for Dynamics and Self-Organization (MPIDS) in Göttingen, recognized for his long-term collaboration with the institute's Fluid Physics, Pattern Formation, and Biocomplexity department under Prof. Eberhard Bodenschatz. His research focuses on fluid dynamics, turbulence, and self-organization phenomena, including studies on turbulent shear flows, extreme events in turbulence, and biophysical systems such as ice growth in mixed-phase clouds. He received the Humboldt Research Award and has conducted extended research stays at MPIDS since 2013. Key collaborations involve exploring the interplay between large-scale instabilities and small-scale intermittency in stratified flows, as well as the dynamics of non-spherical particles in turbulent environments. His work bridges theoretical approaches with experimental validations, emphasizing the role of pressure dynamics and inertial effects in fluid systems. Awards: Humboldt Research Award (2013), External Scientific Member of MPIDS (2018) Key Themes: Turbulence universality, fluid-structure interactions, climate-relevant cloud physics
Ramviyas Nattanmai Parasuraman is an Associate Professor in the Department of Computer Science at the University of Georgia's School of Computing. His research focuses on heterogeneous multi-robot systems, wireless ad hoc networks, and applications in search and rescue robotics, precision agriculture, and human-robot interfaces. He leads the HeRoLab (Heterogeneous Robotics Research Lab) and holds affiliations with the Institute for Artificial Intelligence, Center for Cyber Physical Systems, and Phenomics and Plant Robotics Center. Education: Ph.D. (Robotics and Automation) from Universidad Politécnica de Madrid (2014), M.Tech. from IIT Delhi (2010), and B.Engg. from Anna University (2008). Prior to UGA, he worked as a postdoctoral researcher at Purdue University and KTH Royal Institute of Technology, Sweden. His doctoral work involved optimizing wireless communication for teleoperated robots at CERN. Research Highlights : Developed frameworks for knowledge transfer in multi-robot systems (KT-BT and IKT-BT). Pioneered the Analog Twin Framework for human-AI teleoperation. Advanced localization and trust assessment models for autonomous systems. Designed cybersecurity solutions for cyber-physical systems. Grants include a $1M NIFA grant for AI-driven precision poultry farming (2024) and a $1.68M Army grant for cooperative multi-agent systems (2023). He has been recognized with the CURO Faculty Mentoring Award and multiple Student Career Success awards. Labs & Teams : Director of HeRoLab, focusing on heterogeneous robotics and swarm systems. Faculty Investigator at the Small Satellite Research Lab.
Anna Guerman is an Associate Professor with Habilitation in the Department of Aerospace Sciences at the University of Beira Interior. She serves as Director of the course on Nano-Satellite Development and leads research at the Centre for Mechanical and Aerospace Science and Technologies (C-MAST). Her affiliations include membership in the International Academy of Astronautics and Associate Fellowship at the American Institute of Aeronautics and Astronautics. Her research focuses on space dynamics, satellite control systems, astrodynamics, and spacecraft formation flying. She has pioneered methods in orbital mechanics and nano-satellite technologies, with applications in earth observation and deep-space missions. Guerman's publications demonstrate consistent focus on orbital mechanics, spacecraft control, and innovative space technologies. Recent work involves optimization of orbital maneuvers, femtosatellite swarm control, and space situational awareness systems. Her research integrates theoretical modeling with practical aerospace applications. Member of the International Academy of Astronautics Associate Fellow of the American Institute of Aeronautics and Astronautics Gdansk University of Technology Medal She contributes to academic leadership as Co-Editor of Acta Astronautica and Chair of the Astrodynamics Committee of the International Astronautical Federation. Her laboratory at C-MAST focuses on nano-satellite development and space mission design.
Natasha Bosanac is an Associate Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, affiliated with the Colorado Center for Astrodynamics Research (CCAR). Her work focuses on spacecraft trajectory design within complex multi-body gravitational systems, leveraging dynamical systems theory, machine learning, and data mining techniques. Education: She holds a Ph.D. and M.S.A.A. in Aeronautics & Astronautics from Purdue University (2016 and 2012), and a S.B. in Aerospace Engineering from MIT (2010). Research interests include spacecraft trajectory optimization, celestial mechanics, and invariant manifold analysis. Her group develops strategies to enable innovative missions using low-thrust propulsion, multi-objective reinforcement learning, and automated trajectory design tools. Applications span cislunar space, libration point orbits, and interplanetary systems. Key research contributions include motion primitive approaches for trajectory synthesis, data-driven categorization of spacecraft motion, and reinforcement learning-based stationkeeping. She has pioneered methods like adaptive roadmap generation for Earth-Moon trajectory design and clustering techniques for identifying stable lunar orbits. Awards : AFOSR Young Investigator Program Fellow (2023) Smead Outstanding Graduate Teaching Award (2020) CU Boulder College of Engineering Dean’s Fellowship (2020) Her advising and grants portfolio includes NASA-funded projects on low-thrust transfers and NSF initiatives on multi-body trajectory design. She leads the Bosanac research group, collaborating on missions like Lunar IceCube and small satellite constellations for solar observation. Current projects explore machine learning for autonomous guidance and sustainable cislunar operations. Labs/Teams: Active member of CCAR, leading the Astrodynamics and Satellite Navigation research cluster. Collaborates with aerospace industry partners on trajectory design tools and mission concept studies.
Avery Broderick is an Associate Professor in the Department of Physics & Astronomy at the University of Waterloo and an Associate Faculty Member at the Perimeter Institute for Theoretical Physics. He holds a PhD in Physics from the California Institute of Technology (2004) and a BS in Physics and Mathematics from SUNY Stony Brook (1999). His research focuses on black hole physics, gravitational effects, and their observational signatures, particularly through participation in the Event Horizon Telescope Collaboration. He has contributed to the first horizon-resolving images of astronomical black holes and explores the interplay between plasma physics, gamma-ray emission, and cosmological magnetic fields. Broderick's work spans scales from black hole horizons to cosmological structures, emphasizing strong gravity phenomena and high-energy astrophysics. He has published extensively in journals like ApJ and Scientific American , and his teaching includes courses like PHYS 263 (Classical Mechanics) and PHYS 363 (Intermediate Classical Mechanics). Awards include the 2007 Certificate of Distinction in Teaching from Harvard University's Derek Bok Center. His affiliations include the Waterloo Centre for Astrophysics and editorial roles with Scientific Reports . Research interests include white dwarf interactions with black holes, gamma-ray burst dynamics, and magnetic field evolution in astrophysical plasmas.
Roland Gehrels is Professor and Head of the Department of Environment and Geography at the University of York, UK. He specializes in Quaternary geology and sea-level studies, with research focusing on reconstructing historical sea-level changes, coastal carbon dynamics, and glacial isostatic adjustment. Previously, he spent 18 years at Plymouth University, where he progressed from Lecturer to Professor and led the Quaternary Environments Research Group. Education: PhD in Geology (Holocene sea-level changes), University of Maine, USA MSc in Applied Quaternary Geology, Vrije Universiteit Amsterdam His research investigates sea-level acceleration mechanisms during interglacial periods, blue carbon storage in intertidal ecosystems, and the development of microfossil-based reconstruction methods. Current projects include carbon sequestration in saltmarshes (C-SIDE) and extreme sea-level events (ExTaSea). Gehrels' recent publications (2019-2024) demonstrate a strong focus on: 1) Quantifying blue carbon accumulation in British saltmarshes under sea-level rise, 2) Reconstructing multi-century sea-level variability using geological proxies, and 3) Validating glacial isostatic adjustment models through empirical paleo-sea-level records. His work consistently integrates sedimentology, geochronology, and statistical modeling. Advising & Grants: NERC Standard Grant: Carbon storage in intertidal environments (C-SIDE) Marie Curie Fellowship: EXtreme upper TAil of SEA level rise (ExTaSea) NERC ACCE DTP studentships on sea-level/carbon dynamics (6+ projects) He leads the Sea-Level Research Cluster and collaborates internationally through INQUA and UNESCO initiatives. No major scientific awards are listed in the provided text.
Dr. Yi Wu is an Assistant Professor at the School of Computer Science within the Gallogly College of Engineering at the University of Oklahoma. His research focuses on mobile sensing, wearable computing, cybersecurity, and smart healthcare applications, leveraging machine learning and signal processing. He holds a Ph.D. in Computer Science from the University of Tennessee, Knoxville, and has conducted postdoctoral research at Emory University, alongside industry internships at Snap Inc. and Truveta. Education: Ph.D., Computer Science, University of Tennessee, Knoxville M.S., Computer Engineering, Rutgers University B.S., Automation and Engineering, University of Electronic Science and Technology of China Research Interests: Dr. Wu specializes in mobile sensing technologies for health monitoring, wearable device security, and adversarial attacks on IoT systems. His work bridges hardware innovation with software engineering, emphasizing real-world applications like cycling fitness tracking (SmarCyPad) and AR/VR security (Face-Mic). Key Themes: Human-computer interaction, privacy-preserving biomedical systems, and embedded sensor networks. Publications Trends: His recent work spans cybersecurity vulnerabilities in AR/VR systems, lightweight biosensor technologies, and astrophysical studies of rotating stellar systems. The latter appears to represent a secondary research focus or collaborative area, with publications extending to 2023 despite primary CS affiliation. Awards: None explicitly listed. Grants/Advising: No details provided in available texts. Labs/Teams: No specific lab affiliations mentioned beyond departmental resources.
Paula Cifuentes-Férez is a Full Professor at the University of Murcia, Spain, affiliated with the Department of Translation and Interpreting within the Faculty of Arts and Humanities. She has been a faculty member since 2020 and currently serves as Vice-Dean of Internationalization at the Faculty of Arts. She is an active researcher and educator in translation and cognitive linguistics. PhD from the University of Murcia (2008) Supervised by Dr. Javier Valenzuela Manzanares Research stays at Max Planck Institute, Northwestern University, Institute of Cognitive Science, University of East Anglia, and Adam Mickiewicz University Her research interests focus on cognitive linguistics applied to English-Spanish contrastive studies, the cognitive processes in translation, and the role of personality and emotions in translation performance. She investigates how linguistic typology influences translation strategies, memory, and perception, particularly in motion events. Her work bridges translation theory, psycholinguistics, and cognitive science. Her recent publications explore themes such as the translation of boundary-crossing events, creativity and self-esteem in translators, time pressure effects, and the reception of dubbed content. These works reflect a strong interdisciplinary trend combining experimental methods (key-logging, screen recording, psychophysiological measures) with cognitive and linguistic theories. Member of the Translation, Didactics and Cognition research group Member of TRADICO Innova teaching innovation group Member of TREC Network and AELCO (Spanish Association of Cognitive Linguistics) Treasurer of AIETI (Iberian Association of Translation and Interpreting Studies) She has participated in six research projects and is currently involved in the EMOTRA2 project (PID2021-123650NB-100), funded by the Ministry of Economy and Competitiveness, focusing on emotions and translation. She has presented over fifty papers at international and national conferences. While student supervision is implied by her role and research activity, specific names of advisees are not listed in the provided texts.
Luca Bombelli is a Professor in the Department of Physics and Astronomy at the University of Mississippi, part of the College of Liberal Arts. He is actively involved in teaching and research, with an office in Lewis Hall and direct contact information listed. He served as Chair of the Department from 2016 to 2024, indicating sustained leadership and institutional engagement. Education: B.S. in Physics, Università degli Studi di Milano (1980) M.S. in Physics, Syracuse University Main Campus (1983) Ph.D. in Physics, Syracuse University Main Campus (1987) Dr. Bombelli is a theoretical physicist whose research focuses on gravitational physics, particularly classical aspects of general relativity and the foundations of quantum gravity. His work includes analyzing solutions to Einstein’s equations, studying the motion of bodies in curved spacetimes, and exploring chaotic dynamics in gravitational systems. His current research is increasingly centered on developing a theory of quantum spacetime, bridging quantum mechanics and general relativity. Dr. Bombelli has been affiliated with several academic institutions, including the University of Vienna, University of Calgary, Free University of Brussels, University of Geneva, and Mercyhurst College, before joining the University of Mississippi. His long-standing membership in professional societies such as the American Physical Society and the International Society for General Relativity and Gravitation underscores his active participation in the physics community. Professional Memberships: American Physical Society American Association of Physics Teachers International Society for General Relativity and Gravitation Sigma Xi Sigma Pi Sigma Dr. Bombelli teaches a wide range of courses, from introductory physics and astronomy to advanced graduate-level topics such as Quantum Mechanics and Gravitational Physics. His involvement in both undergraduate honors programs and graduate degree programs (M.A., M.S., Ph.D.) suggests a strong commitment to student mentorship and academic development. Although no specific grants or students are listed, his leadership role and long tenure imply significant advising and research supervision experience. He is associated with the Physics B.A., B.S., M.A., M.S., and Ph.D. programs at the University of Mississippi, contributing to a broad spectrum of physics education and research training.
Dr. Bärbel Garsoffky is a Researcher and Deputy Head of the Realistic Depictions Lab at the Leibniz Institute for Science Education (IWM) in Tübingen, where she has been a scientific employee since 2001. She additionally serves as Library and Open Access Officer, managing scholarly resources and institutional repositories. Her career centers on cognitive processes within informal information environments, with significant contributions to understanding learning in digital and immersive contexts. Garsoffky earned her Diploma in Psychology from the University of Tübingen in 1994, followed by a PhD from the Deutsches Institut für Fernstudienforschung in 2000 with her dissertation on "Viewpoint dependency of event recognition such as soccer scenes". This foundational research established her expertise in visual perception and cognitive processing of dynamic events. Her research integrates cognitive psychology, educational technology, and museum studies to investigate how spatial and temporal factors in digital environments shape learning. Key interests include virtual room geometry effects on memory, temporal gaps in event perception, and authenticity-digitality interplay in informal learning sites. She examines how these elements influence cognitive load, knowledge acquisition, and user experience in museums and virtual settings. Analysis of her recent publications reveals a clear trajectory toward immersive virtual environments as learning spaces, with seminal work on corner effects in memory retention. She pioneers methodologies for studying digital materialities, comparing virtual and physical museum artifacts, and leads the BILAD international research network to advance cross-cultural understanding of digital authenticity in education. Within the Realistic Depictions Lab, Garsoffky co-organizes workshops including BILAD Network Meetings and the International Workshop on Perceptual and Cognitive Processes of Learning from 3D. Her leadership extends to project management for "Digital Materialities" (2021-2024) and "Cognitive processes in digital immersive environments" (ongoing since 2018), driving innovation in educational technology and cognitive science.
Riccardo Bevilacqua is a Professor of Aerospace Engineering and Interim Associate Dean at Embry-Riddle Aeronautical University. He holds a Ph.D. in Applied Mathematics (2007) and M.Sc. in Aerospace Engineering (2002) from Sapienza University of Rome. Research focuses: Spacecraft formation flight, space robotics, warhead fragment prediction Key methodologies: Machine learning, adaptive control, functional analysis His recent publications address machine learning for spacecraft deorbiting, flexible structure modeling, and hypervelocity fragment propagation. Notable projects include CubeSats for advanced control testing and NASA collaborations. Scientific Awards : Air Force/ONR Young Investigator Awards Dave Ward Memorial Lecture Award Air Force Summer Fellowships (multiple) As an educator, he teaches graduate-level courses like AE 800: Dissertation and AE 700: Thesis Research . Leads the Advanced Autonomous Multiple Spacecraft Laboratory (ADAMUS).
Yu-Ting Chen is an Associate Professor in the Department of Mathematics and Statistics at the University of Victoria. He holds a PhD from the University of British Columbia. His research focuses on probability theory, stochastic partial differential equations, and interacting particle systems with applications to mathematical physics and evolutionary dynamics. He teaches advanced courses in calculus, partial differential equations, stochastic processes, and mathematical statistics. Dr. Chen's work bridges stochastic analysis and mathematical physics, particularly in systems like the delta-Bose gas and voter models. His recent studies include critical stochastic heat equations, many-body quantum systems, and spatial evolutionary games. He has published extensively in top journals such as Annals of Probability and Nature , contributing to stochastic mechanics and coexistence dynamics in spatial populations. Education: PhD, University of British Columbia Affiliations: University of Victoria, David Turpin Building A521 His teaching portfolio includes graduate-level courses on partial differential equations and stochastic modeling. He actively contributes to research in probability theory with a focus on interdisciplinary applications.
Ryan K. Cosner is an Assistant Professor in the Department of Mechanical Engineering at Tufts University's School of Engineering, commencing his appointment in January 2026. His research bridges robotics, machine learning, and control theory to develop provably safe autonomous systems through risk-aware control frameworks and deployable algorithms validated across diverse robot platforms. His academic background includes a Ph.D. from the California Institute of Technology (Caltech) and a B.S. from the University of California, Berkeley. Prior to joining Tufts, he contributed to autonomous vehicle research at Nvidia's Autonomous Vehicle Research Group. Dr. Cosner's work centers on robotics safety using Control Barrier Functions (CBFs) to ensure set-invariance under uncertainty. His research spans stochastic safety guarantees , risk-aware control synthesis , and safe learning frameworks for real-world applications. Key methodologies include discrete-time CBFs, probabilistic safety bounds, and integration of machine learning with formal verification. Analysis of his 2022-2025 publications reveals dominant themes in safety-critical control for uncertain systems, with significant contributions to humanoid robotics, autonomous vehicles, and stochastic safety frameworks. His work consistently advances CBF theory while addressing practical deployment challenges through validation on physical systems. No scientific awards were documented in the provided materials. Dr. Cosner is establishing his research group at Tufts and actively recruiting graduate students for projects in safety-critical autonomy. While specific grants aren't detailed, his research direction aligns with funding priorities in trustworthy AI and robotic systems safety. He leads a robotics safety laboratory focusing on humanoid platforms and autonomous vehicles, maintaining collaborations with industry partners like Nvidia and academic institutions including Caltech.
