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Gaetano BaroneView profile

Assistant Professor

• Higgs Physics
• Electroweak Interactions
• Top Quark Physics
• +4 more

Gaetano Barone is an Assistant Professor of Physics (Research) at Brown University, affiliated with the CMS Collaboration and the Data Science Institute. His research focuses on precision measurements in particle physics, particularly in Higgs and electroweak sectors, top quark physics, and detector development. Education: Ph.D. in Physics (2015), M.A. (2009), and B.A. (2007) from Université de Genève. Postdoctoral research at Brandeis University (2015–2018) and Brookhaven National Laboratory (2018–2023). Research Interests Electroweak Higgs properties in ZZ, WW, bb, and cc channels. Precision top quark physics, including vector boson couplings and ttγ production. Detector development: 4D tracking, silicon timing detectors, and CMS upgrades. Low-energy physics: Fermi constant extraction and pion lifetime measurements. Awards : 2024 Research Seed Award for advancing pico-second silicon detector applications in space-based operations. Grants & Funding : Active in detector R&D and Higgs physics through collaborations with CERN, CMS, and the LHC Higgs Working Group.

• Particle Physics
• High Energy Physics
• Machine Learning in Physics
• +3 more

Jennifer Roloff is an Assistant Professor of Physics at Brown University. She is a member of the CMS collaboration and previously part of the ATLAS collaboration. Her research focuses on improving understanding of the Standard Model of particle physics and exploring physics beyond it, emphasizing novel uses of jets through new observables, machine learning, and reconstruction techniques. Education: B.Sc. from University of Michigan, Ph.D. in Experimental Particle Physics from Harvard University Postdoctoral appointment at Brookhaven National Laboratory Her work integrates large-scale data processing and computational methods, including machine learning algorithms and data cleaning, essential for high-energy physics datasets. Key research areas include jet physics, collider experiments, and advanced data analysis techniques.

Alakabha DattaView profile

Professor

• Particle Phenomenology
• Flavor Physics
• Non-Standard Higgs Interactions
• +5 more

Dr. Alakabha Datta is a Professor of Physics and Astronomy at the University of Mississippi, affiliated with the Department of Physics and Astronomy within the College of Liberal Arts. He holds a B.S. from University of Calcutta (1983), M.S. from Delhi University (1986), and Ph.D. from University of Hawaii at Manoa (1995). His research focuses on particle phenomenology, including flavor physics, non-standard Higgs interactions, dark matter, top quark properties, neutrino mixing, and grand unified theories. He has contributed to experiments at BABAR, BELLE, and CMS, analyzing data from B factories and colliders to explore new physics beyond the Standard Model. His teaching includes graduate-level courses in Quantum Mechanics, Quantum Field Theory, and undergraduate physics courses for engineering and pre-med students. His work involves studying CP violation in meson decays, top quark decay channels, and deviations from tri-bimaximal neutrino mixing. He has published extensively on topics like jet substructure, Higgs boson properties, and dark matter searches in proton-proton collisions. His research also examines Drell-Yan processes in proton-lead collisions, radiation damage in detector components, and leptoquark searches. Dr. Datta collaborates with international teams on experiments at the LHC and RHIC, contributing to understanding quark-gluon plasma dynamics and heavy flavor suppression in nuclear collisions.

Loren SchwiebertView profile

Professor

• High-Performance Computing
• GPU Acceleration
• Parallel Algorithms
• +1 more

Loren Schwiebert is a Professor in the Computer Science Department at Wayne State University's College of Engineering. He holds a PhD from Ohio State University and served as Department Chair from 2014-2022. His research focuses on high-performance computing, including GPU-accelerated scientific applications, molecular Monte Carlo simulations, and parallel algorithms. He contributes to open-source projects GOMC (GPU Optimized Monte Carlo) and JETSCAPE (jet tomography framework). He has received multiple teaching awards including the College of Engineering Excellence in Teaching Award and Michael E. Martinez Research Award. His recent publications cover jet physics, parallel graph algorithms, and hybrid simulation methods. As principal investigator on NSF grants totaling over $7M, he leads projects in computational physics and scientific software development.

Thomas GibsonView profile

Associate Professor

• Computational Physics
• Positron Scattering
• Monte Carlo Simulations
• +2 more

Dr. Thomas Gibson is an Associate Professor in Physics and Astronomy at Texas Tech University, specializing in computational physics. He developed the department's Beowulf clusters (Gamera series) to support simulations of positron-molecule collisions and surface flashover phenomena. His research interests include concurrent computing methods, Monte Carlo simulations, and quantum scattering processes. Recent publications analyze particle interactions with polyatomic molecules using advanced computational models. He advises graduate students on topics ranging from muon sites in cuprates to positron collision modeling. Laboratory work focuses on high-voltage applications and membrane biophysics.

Christopher MadridView profile

Assistant Professor

• Experimental Particle Physics
• Beyond Standard Model Physics
• Advanced Detector Development
• +1 more

Dr. Christopher Madrid is an Assistant Professor in the Department of Physics and Astronomy at Texas Tech University. He holds a PhD in Physics from Baylor University (2020), an MA in Physics (2017), and dual BS degrees in Physics and Mathematics from Angelo State University (2015). His research focuses on experimental particle physics through the CMS collaboration at CERN's Large Hadron Collider. He investigates beyond-Standard-Model physics, develops next-generation particle detectors (including HGCAL upgrades), and applies machine learning to particle collision analysis. Recent publications focus on novel detector technologies and machine learning applications in particle identification. Research demonstrates emphasis on instrumentation innovation for future colliders. Dr. Madrid leads the Advanced Particle Detector Laboratory, focusing on detector R&D integrating precision timing and advanced readout electronics.

Veronica DexheimerView profile

Professor

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

Veronica Dexheimer is a Professor of Physics and Director of the Center for Nuclear Research at Kent State University. Her research focuses on theoretical nuclear/particle astrophysics, particularly dense and hot matter in compact stars such as white dwarfs, neutron stars, proto-neutron stars, and stellar mergers. She investigates effects of extreme magnetic fields and exotic particles like hyperons and deconfined quarks. Dr. Dexheimer leads collaborations including MUSES, NP3M, and the FRIB Theory Alliance. Her academic background includes a PhD from Johann Wolfgang Goethe University (Frankfurt, Germany), and MS/BS degrees from Universidade Federal do Rio Grande do Sul (Brazil). Her research interests span astrophysics, nuclear physics, high-energy physics, multi-messenger astronomy, and hadron physics. She directs the Center for Nuclear Research, fostering interdisciplinary work on dense matter theory. Recent projects explore phase transitions in neutron-star mergers and the interplay between magnetic fields and exotic matter phases. Her work bridges astrophysical observations with nuclear physics models, contributing to gravitational wave and heavy-ion collision studies. Dr. Dexheimer’s advising and grants support computational tools like the MUSES engine for neutron-star modeling. She collaborates internationally on projects such as CompOSE, which harmonizes equations of state for astrophysical applications. Ongoing efforts include studying quark deconfinement, twin stars, and magnetic field-induced deformations in hybrid stars.

Ajay GuptaView profile

Professor

• High Performance Computing
• Proteogenomics
• Data Analytics
• +10 more

Ajay Gupta is a Professor in the Department of Computer Science at Western Michigan University's College of Engineering & Applied Sciences. He previously served as Department Chairman from 1998-2002 and directs the Wireless Sensor Network Laboratory (WiSe Lab). He holds a Ph.D. in Computer Science from Purdue University (1989), M.S. in Mathematics and Statistics from University of Cincinnati (1984), and B.E. in Electrical and Electronics Engineering from Birla Institute of Technology and Sciences, Pilani. His research spans high-performance computing, proteogenomics, data analytics, machine learning, sensor networks, cloud/mobile computing, web technologies, computer networks, evolutionary computation, and parallel/distributed algorithms. His published work includes significant contributions to computational methods and networking. Awards include: Best Paper nomination at HPCS 2016 Best Paper award at International Conference on High Performance Computing 1996 Honorable mention at CERIAS Symposium 2006 He holds joint copyright for parallel/distributed numerical integration software ParInt 1.1. As IEEE senior member, he participates in curriculum development and conference organization globally.

William J. BeksiView profile

Assistant Professor

• Robotics
• Computer Vision
• Machine Learning
• +7 more

William J. Beksi is an Assistant Professor at The University of Texas at Arlington's Department of Computer Science and Engineering, and director of the Robotic Vision Laboratory. His research focuses on robotics, computer vision, and machine learning, with applications in autonomous systems, agricultural robotics, and event-based vision. PhD, MS in Computer Science (University of Minnesota) BS in Mathematics and Computer Science (Stevens Institute of Technology) Dr. Beksi develops algorithms for robot perception and autonomy, emphasizing topological data analysis, control barrier functions, and 3D reconstruction. His work has been sponsored by NSF, USDA, DoD, and industry partners. Recent publications (2023-2025) span event-based vision, agricultural robotics, 3D vision, and safety-critical systems. Key trends include polynomial path planning for deception, edge-informed contrast maximization, and semi-supervised active learning frameworks. ONR Summer Faculty Fellow (2022-2024) NSF CRII Award (2020) IEEE Senior Member UTA CSE Rising Star Research Award (2024) Dr. Beksi advises PhD students in robotics and computer vision, including recipients of UTA Dissertation Fellowships and DoD SMART scholarships. His lab collaborates with institutions like krtkl, AFRL, and NSWCDD on projects ranging from UAV collision avoidance to lunar robotics.

• High-Energy Physics
• Particle Physics
• ATLAS Experiment
• +3 more

Giulio Usai is an Assistant Professor of Research at the Department of Physics, The University of Texas at Arlington. He is actively involved in high-energy physics experiments, particularly with the ATLAS detector at the Large Hadron Collider (LHC). Federal Flow Through grants (2017–2022) for ATLAS operations and computing infrastructure Collaborator on multiple NSF-sponsored projects totaling over $7.9 million Research Interests His research focuses on: High-energy particle collisions and detector development Quantum Chromodynamics (QCD) and Higgs boson properties Heavy-ion collisions and quark-gluon plasma studies Searches for new physics beyond the Standard Model Instrumentation for precision particle tracking Recent work includes studies on: Jet observables and fragmentation mechanisms Bose-Einstein correlations and flow dynamics Development of solid-state active-target detectors Searches for long-lived particles and dark matter candidates

Larry GardnerView profile

Assistant Professor

• Space Physics
• Ionospheric Modeling
• Atmospheric Physics
• +4 more

Dr. Larry Gardner is an Assistant Professor in the Department of Mechanical and Aerospace Engineering within Utah State University's College of Engineering. His research focuses on space physics, ionospheric modeling, and space weather prediction. Educational achievements include: PhD in Space/Plasma Physics from Utah State University (2005) MS in Atmospheric Physics from Utah State University (2001) BS in Physics from Utah State University (1998) Electronics Engineering Technology from ITT Technical Institute (1996) Research interests encompass ionosphere-thermosphere coupling, data assimilation for space weather models, and geomagnetic storm effects on atmospheric systems. Current work develops multimodel ensemble prediction systems (MEPS) for improved space weather forecasting. Recent publications (2015-2024) demonstrate expertise in ionospheric data assimilation, space weather model validation, and atmospheric electrodynamics. Research consistently addresses operational space weather forecasting challenges through advanced modeling techniques and multi-instrument observations. Teaching responsibilities include graduate courses in Advanced Dynamics and Compressible Fluid Flow, along with undergraduate technology courses in robotics and computer tools.

Leonardo P. G. De AssisView profile

Lecturer

• Theoretical Physics
• Quantum Computing
• Quantum Information
• +9 more

Leonardo P. G. De Assis is a Lecturer at the School of Liberal Studies, San Francisco State University, and an instructor at Stanford Pre-Collegiate Studies. He holds a bachelor's degree in Mathematics from the Federal University of Rio de Janeiro and Master/PhD degrees in Physics from the Brazilian Center for Research in Physics. His interdisciplinary research spans theoretical physics, quantum computing, neurophysics, and artificial consciousness. He investigates the neural binding problem, seeking to model consciousness through quantum-like formalisms applied to cognition, neuroscience, and AI. His work bridges quantum field theory, cosmology, plasma physics, and cognitive science. De Assis has published extensively on quantum mechanics, nuclear physics, supersymmetric models, and consciousness theory. His recent articles explore quantum contextuality, temporal physics in human perception, and interdisciplinary approaches to neural binding disorders.

Austin NapierView profile

Professor

• Experimental Particle Physics
• High Energy Physics
• Computational Physics
• +5 more

Austin Napier is a Professor of Physics & Astronomy at Tufts University, affiliated with the School of Arts and Sciences. He holds a PhD (1979) and BS (1969) in Physics from MIT. His research focuses on Experimental Particle Physics, High Energy Physics, and Computational Physics, with emphases on heavy quark studies, Standard Model tests, and collider data analysis. He has been at Tufts since 1980, progressing from Assistant to Associate Professor before achieving his current rank. Education: PhD Physics, MIT, 1979 BS Physics, MIT, 1969 Research Interests: Dr. Napier’s work explores experimental particle physics at colliders like the Tevatron, focusing on Higgs boson searches, top quark dynamics, and electroweak interactions. His computational physics research includes advanced data analysis techniques and simulation methodologies for high-energy experiments. Publications: His recent work includes studies of Higgs-like particles, top quark asymmetries, and exotic meson discovery. These contributions highlight his role in advancing precision measurements and collider-based physics. Teaching: Teaches introductory physics courses and lab modules, emphasizing hands-on experimental methods and computational techniques.

Ia IashviliView profile

Professor

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

Ia Iashvili is a Professor in the Department of Physics at the University at Buffalo, College of Arts and Sciences. Her research focuses on experimental high-energy physics, particularly within the CMS experiment at the Large Hadron Collider (LHC). BS in Physics from Tbilisi State University (1990) PhD in Physics from Humboldt University, Berlin (2000) Postdoctoral Research at UC Riverside (2000-2005) Her work centers on particle physics, aiming to uncover fundamental laws of the physical universe through precision measurements of the Standard Model (SM) and searches for physics beyond the SM. She specializes in the Higgs mechanism, electroweak symmetry breaking, and new particle searches via proton-proton collisions at the LHC. She has led efforts in hadronic jet calibration, critical for CMS physics analyses, and has contributed to upgrades of the CMS Forward Pixel Detector. Recent publications highlight her focus on jet energy calibration, pileup mitigation, and dijet/resonant ttbar searches. Keywords span High Energy Physics, CMS Experiment, and Standard Model, with subfields including Higgs Boson studies, new particle detection, and detector performance optimization. Contact: iashvili@buffalo.edu

• Astrophysics
• Planetary Science
• Solar System Evolution
• +3 more

Joshua Colwell is the Pegasus Professor and Associate Dean for Research in the College of Sciences at the University of Central Florida (UCF). He holds a B.S. in Physics from Stetson University and a Ph.D. in Astrophysical, Planetary, and Atmospheric Sciences from the University of Colorado at Boulder. His primary affiliation is the UCF Department of Physics, with laboratories in the Stephen W. Hawking Center for Microgravity Research and Education. Dr. Colwell specializes in planetary science, focusing on solar system origins through studies of Saturn’s rings, asteroids, and comets. His research leverages Cassini mission data (e.g., UVIS instrument) and microgravity experiments to model ring structure, collisional processes, and early planetary formation. Key projects include analyzing Saturn’s ring dynamics via stellar occultations and designing suborbital experiments for granular physics. Recent work emphasizes Uranus’ ring system and giant planet energy budgets. Over 50 peer-reviewed articles highlight contributions to ring dynamics, particle size distributions, and mission-driven analyses. His interdisciplinary approach bridges observational astrophysics, experimental physics, and planetary engineering.