جستجوی استاد راهنمای دانشگاهی

John F. Beacomمشاهده پروفایل

استاد

• Neutrinos
• Dark Matter
• High-Energy Astrophysics
• +۵ مورد دیگر

John F. Beacom is a Distinguished Professor of Physics and Astronomy at The Ohio State University and Director of the Center for Cosmology and AstroParticle Physics (CCAPP). His academic roles include leadership in astroparticle physics research and education. He holds joint appointments in both the Department of Physics and the Department of Astronomy within the College of Arts and Sciences. Beacom earned his Ph.D. in Physics from the University of Wisconsin (1997) and dual B.S. degrees in Physics and Mathematics from the University of Kansas (1991). He has held postdoctoral positions at Fermilab and Caltech before joining Ohio State in 2004. His research focuses on neutrinos, dark matter, and multi-messenger astrophysics, with emphasis on neutrino detection techniques, supernova physics, and cosmological implications. He leads major projects like the All-Sky Automated Survey for Supernovae (ASAS-SN) and contributes to the Deep Underground Neutrino Experiment (DUNE). Awards: APS Fellow (2014), NSF CAREER Award (2005–2010), multiple teaching awards for distinguished instruction. Grants: Extensive funding from NSF, DOE, and collaborative international initiatives. Labs/Teams: CCAPP, DUNE Collaboration, ASAS-SN project. His articles span neutrino physics, detector development, and observational astrophysics, reflecting interdisciplinary expertise in theoretical and experimental particle astrophysics.

Syed Hani Hassan Abidiمشاهده پروفایل

دانشیار

• Virology
• Immunology
• Viral Oncology
• +۷ مورد دیگر

Syed Hani Hassan Abidi is an Associate Professor at the Department of Biomedical Sciences , School of Medicine , Nazarbayev University , Kazakhstan. His research integrates virology , immunology , viral oncology , and bioinformatics , with a focus on HIV molecular epidemiology , viral evolution , and drug resistance . He has led international projects across Pakistan, Kenya, Afghanistan, and Kazakhstan, and is recognized for innovative teaching and MOOC development. Education: PhD in Virology and Immunology Research Interests: His laboratory employs bioinformatics (machine learning, AI), genomics , and proteomics to study HIV phylodynamics , viral co-infections , and oncogenic viruses like EBV in prostate cancer. He also explores microbiome-immunity interactions and designs antiviral drugs/vaccines . Recent Research Trends: His 2025 publications emphasize COVID-19 immunopathology , HIV/syphilis epidemiology in Pakistan , and particle physics contributions via ATLAS , showcasing interdisciplinary impact. Awards & Recognition: Outstanding Teachers Award (2019, Aga Khan University) Fellowship of Higher Education (UK, 2022) Teaching & Grants: He pioneered Pakistan’s first MOOC on Computer-Based Drug Discovery (2014) and received a 2022 SoTL grant for MOOC-based molecular biology education. His teaching integrates animations , films , and flipped classrooms . Collaborations & Labs: Leads projects on HIV drug resistance , HCV genomics in Kazakhstan , and AI-driven dementia diagnostics (Kazakh Brain Atlas). His lab collaborates with global institutions to advance viral disease surveillance and therapeutic innovation .

Todd Adamsمشاهده پروفایل

استاد

• Particle Physics
• High Energy Physics
• Neutrino Physics
• +۳ مورد دیگر

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.

Gunther Rolandمشاهده پروفایل

استاد

• Nuclear Physics Experiment
• High Energy Physics
• Quark-Gluon Plasma Studies
• +۳ مورد دیگر

Gunther Roland is a Professor of Physics and Division Head of Experimental Nuclear and Particle Physics at MIT. His research focuses on emergent properties of strongly interacting matter under extreme conditions, such as those created in high-energy nuclear collisions at the Large Hadron Collider (LHC). He leads the MIT Relativistic Heavy Ion Group, which collaborates with the CMS experiment at CERN to study the Quark-Gluon Plasma (QGP). Education: PhD in Physics from the Institut für Kernphysik, Frankfurt (1993). He joined MIT in 2000, became Associate Professor in 2004, and Full Professor in 2011. Research interests include QGP transport properties, parton propagation, and collision signatures in proton-proton and proton-lead systems. His group is developing advanced calorimeter triggers and online event selection tools for future LHC experiments. Awards: Heraeus Foundation Endowed Visiting Professorship (2023), APS Fellow (2013) Labs/Groups: Relativistic Heavy Ion Group, Phobos Collaboration Future Work: High-luminosity data analysis using Z+jet correlations and advanced detector systems.

Aram Harrowمشاهده پروفایل

استاد

• Quantum Information Science
• Quantum Algorithms
• Quantum Computing
• +۳ مورد دیگر

Aram Harrow is a Professor of Physics at the Massachusetts Institute of Technology (MIT) , affiliated with the MIT Center for Theoretical Physics and MIT Center for Quantum Engineering . He focuses on quantum information science and quantum algorithms , with additional interests in representation theory and optimization . His recent work explores quantum computing applications in chemical physics and statistical mechanics . Undergraduate and graduate degrees in Physics at MIT Faculty positions: MIT (2013-present), University of Washington (2010-12), University of Bristol (2005-10) Research Interests: His work bridges quantum information theory and many-body physics , including: Quantum algorithm design for chemistry and optimization Quantum circuit complexity and t-designs Entanglement dynamics in quantum systems Quantum-classical hybrid computing models Key Publications: Recent articles demonstrate quantum speedups for biomolecular free energy calculations , Hamiltonian simulation , and jet clustering algorithms . His research combines quantum complexity theory with practical implementations on near-term quantum devices. Scientific Awards: 2023 Simons Investigator 2018 APS Bennett Award 2017 IEEE Best Paper Award 2016 Kavli Frontiers Fellow Mentorship: He advises current PhD students Shankar Balasubramanian , Angus Lowe , and Norah Tan , with 12 former advisees including Anand Natarajan and Saeed Mehraban . His 2026 recruitment seeks one new graduate student.

Joey W Hustonمشاهده پروفایل

استاد

• High Energy Physics
• Quantum Chromodynamics (QCD)
• Particle Phenomenology
• +۷ مورد دیگر

Joey W Huston is a Professor at the Department of Physics & Astronomy, Michigan State University, and a Visiting Professor at the Institute for Particle Physics Phenomenology, Durham University. He has over 600 publications with >30,000 citations, including 9 papers with >500 cites each. Positions: MSU Research Foundation Professor (1998-present), Visiting Professor at Durham (2003-present) Education: Ph.D. (1983) and B.S. (1976) from University of Rochester and Carnegie-Mellon University His research focuses on Quantum Chromodynamics (QCD) , Parton Distribution Functions , and Jet Physics . He contributes to Higgs Boson studies, Supersymmetry , and Dark Matter Searches via the ATLAS experiment at the LHC. Recent articles (2025) highlight advancements in Jet Flavour Tagging , Top-Quark Mass Measurement , and Exotic Higgs Decays , alongside computational innovations like Neural Simulation-Based Inference and Cloud Resource Optimization . Scientific Awards: APS Fellow (2025), Distinguished Visitor by Scottish Universities Physics Alliance (SUPA) Prof. Huston has co-spoken for the CTEQ collaboration and organized workshops at Les Houches, Kavli Institute, and Fermilab. He authored the Handbook on Perturbative QCD and is writing a book on QCD at the LHC for Oxford University Press.

Carlos Cinelliمشاهده پروفایل

استادیار

• Causal Inference
• Statistical Methodology
• Machine Learning
• +۵ مورد دیگر

Carlos Cinelli is an Assistant Professor in the Department of Statistics at the University of Washington, where he conducts research at the intersection of causal inference, statistical methodology, machine learning, and artificial intelligence. He is also a data science fellow at the eScience Institute and affiliate faculty of the Center for Statistics and the Social Sciences, demonstrating his interdisciplinary approach to causal methodology. Dr. Cinelli received his Ph.D. in Statistics from the University of California, Los Angeles, advised by Chad Hazlett and Judea Pearl, two prominent figures in causal inference. His research focuses on developing new causal and statistical methods for transparent and robust causal claims in empirical sciences, with particular attention to challenges faced by social and health scientists. His work spans theoretical developments in causal identification, sensitivity analysis frameworks, and practical software implementations that enable researchers to assess the robustness of their causal conclusions. Cinelli's research program addresses fundamental questions about how unobserved confounding affects causal estimates and develops tools to quantify how sensitive findings are to potential violations of causal assumptions. His work on omitted variable bias frameworks has been particularly influential across multiple disciplines. Through his publications, Cinelli has established himself as a leading researcher in causal inference methodology, with papers appearing in top journals across statistics, machine learning, epidemiology, and social sciences. His work demonstrates both theoretical rigor and practical relevance, often accompanied by open-source software implementations that make his methods accessible to applied researchers. Best paper award at SBE 2024 in Econometrics Royalty Research Fund (RRF) Award recipient NSF/MMS research support As an advisor, Cinelli has successfully guided PhD students like Nick Irons to dissertation completion. He actively seeks new students with strong interests in causal inference. His research is supported by multiple funding sources including the National Science Foundation and the University of Washington's Royalty Research Fund. Cinelli contributes to the academic community through editorial work for the Journal of Causal Inference and by developing widely used software packages like sensemakr for sensitivity analysis.

Ke Wangمشاهده پروفایل

استاد

• Data Mining
• Database Systems
• Data Privacy
• +۳ مورد دیگر

Ke Wang is a Professor in the School of Computing Science at Simon Fraser University . His research focuses on Data Mining , Database Systems , Data Privacy , and Graph and Network Data . He holds a Ph.D. and M.Sc. from the Georgia Institute of Technology (1986 and 1984, respectively). Teaching includes courses like Database Systems II , Introduction to Data Mining , and Special Topics in Databases . He has advised numerous students and alumni, many of whom now work in tech, academia, and industry. Notable awards include the 2013 Faculty of Applied Sciences Research Excellence Award and the ECIR 2019 Best System Paper . His work emphasizes privacy-preserving techniques and has led to contributions like the Introduction to Privacy-Preserving Data Publishing textbook. He has served as a conference chair for major data mining events like SDM 2015/2016 and holds editorial roles in journals like ACM TKDD. His lab, the Database and Data Mining Laboratory , focuses on actionable solutions for real-world data challenges.

Julia Thom-Levyمشاهده پروفایل

استاد

• Experimental Particle Physics
• Heavy Quark Physics
• Hadron Collider Physics
• +۲ مورد دیگر

Julia Thom-Levy is a Professor of Physics in the College of Arts and Sciences at Cornell University, serving as Deputy Director of the Cornell Laboratory of Accelerator-Based Sciences and Education and Vice Provost for Academic Innovation. Her career at Cornell progressed from Assistant Professor (2005-2012) to Associate Professor (2012-2018) and Professor (2018-present), following prior research roles at SLAC and Fermilab. She earned her Physics Dipl. (1997) and Ph.D. (2001) from Hamburg University. Her research centers on experimental particle physics, with expertise in heavy quark physics, hadron collider physics, and silicon detector development for both particle physics and X-ray science applications. She leads critical work on CMS experiment upgrades at CERN's LHC, focusing on radiation-hard pixel detectors and Higgs boson/top quark physics analysis. Her 2013-2018 publications reveal a consistent focus on precision measurements in top quark physics and Higgs boson studies through CMS collaboration, alongside innovative detector technology development. The research demonstrates strong interdisciplinary connections between high-energy physics and advanced materials science. Awards and Honors: Fellow, German National Scholarship Foundation (1993-1997) She advises graduate student Lena Franklin and has mentored postdocs Joseph Reichert and Jose Monroy, along with undergraduates Hannah Hu, Benjamin Myers, Jeffrey Backus, and Alexander Albert. Her group secures significant funding including a $3.8M NSF grant for early universe research and $2.7M for the Active Learning Initiative. She directs detector R&D for CHESS light source applications and leads Cornell's academic innovation efforts through the Active Learning Initiative, which has transformed classroom instruction across STEM disciplines.

Michael Klasenمشاهده پروفایل

استاد

• Particle Physics
• Quantum Chromodynamics
• Physics beyond the Standard Model
• +۳ مورد دیگر

Prof. Dr. Michael Klasen is a leading theoretical physicist at the Institute of Theoretical Physics at the University of Münster, where he heads his eponymous research group. His work bridges nuclear and particle physics, with significant contributions to quantum chromodynamics and physics beyond the Standard Model. His research focuses on Particle Physics , Quantum Chromodynamics , and Physics beyond the Standard Model , with particular emphasis on understanding the quark-gluon structure of atomic nuclei and dark matter phenomena. His innovative approach connects microscopic quark-gluon dynamics with nuclear binding phenomena, creating a crucial bridge between nuclear and particle physics. Prof. Klasen's recent work analyzing nucleon binding at the quark-gluon level was recognized as a "Breakthrough of the Year 2024" by Physics World. His research group's publication in Physical Review Letters demonstrated how quarks and gluons behave differently in nucleon pairs than in free nucleons, fundamentally advancing our understanding of nuclear binding. Breakthrough of the Year 2024 from Physics World Leadership of Research Training Group 2149 "Strong and weak interactions - from hadrons to dark matter" Supervision of award-winning doctoral research including the Infineon Dissertation Prize 2025 Prof. Klasen has successfully mentored numerous PhD students, with 20 of his group's graduates continuing their academic careers at prestigious institutions including CERN and Stanford University. His research has been supported by major funding bodies including the German Research Foundation (DFG), the Helmholtz Alliance for Astroparticle Physics, and BMBF collaborative research programs. The Klasen working group maintains active collaborations with international research networks including CTEQ, DM@NLO, and RESUMMINO.

Matej Vargaمشاهده پروفایل

پژوهشگر

• Geodesy
• Geomatics
• Physical Geodesy
• +۷ مورد دیگر

Matej Varga is a Scientific Assistant and Postdoctoral Researcher at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, working in the Geosensors and Engineering Geodesy group under Prof. Andreas Wieser since 2021. His research spans geometrical geodesy, physical geodesy, and satellite geodesy, with applications in both theoretical and practical domains. Dr. Varga's research interests focus on spatial, temporal and spectral analysis of geodetic data, with particular expertise in geodetic reference systems and frames, gravity and geomagnetic field modeling at all temporal and spatial scales, and multi-GNSS multi-frequency positioning and monitoring. His work integrates geometrical and physical aspects of geodesy to address complex Earth observation challenges, particularly in infrastructure monitoring and geophysical applications. His recent publications demonstrate a strong trend toward high-precision geodetic applications for major scientific infrastructure, most notably the Future Circular Collider project, alongside important contributions to earthquake impact analysis, geomagnetic network development, and gravity field modeling. His research bridges traditional geodetic methods with modern computational approaches, including machine learning applications for point cloud registration. Dr. Varga is actively involved in the GSEG research group at ETH Zurich, contributing to the development of geodetic infrastructure and reference systems. His work has practical applications in infrastructure monitoring, earthquake analysis, and scientific projects requiring extreme geodetic precision.

Pierre Baldiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۷ مورد دیگر

Pierre Baldi is a Distinguished Professor of Computer Science and Director of the Institute for Genomics and Bioinformatics at the University of California, Irvine (UCI). He is affiliated with the Donald Bren School of Information and Computer Sciences. His research spans artificial intelligence, machine learning, bioinformatics, and communication networks, with notable projects in protein structure prediction, gene expression modeling, and neutrino physics collaborations like DUNE. Baldi’s work bridges theoretical foundations (e.g., neural network theory) and applied domains, including medical imaging and fusion technology. Key research interests include AI-driven biomedical applications, neural network theory, and interdisciplinary projects such as the DUNE neutrino experiment. His contributions to neural network engineering were recognized with the 2023 INNS Dennis Gabor Award, highlighting his paradigm-changing impact on computational neuroscience and physics. Baldi’s academic leadership includes directing UCI’s Institute for Genomics and Bioinformatics, fostering collaborations in computational biology and AI. His recent work explores AI’s role in healthcare, climate modeling (e.g., ClimSim-Online), and fundamental physics challenges like neutrino oscillation studies.

David Simmons-Duffinمشاهده پروفایل

استاد

• Theoretical Physics
• Conformal Field Theory
• Bootstrap Methods
• +۵ مورد دیگر

David Simmons-Duffin is a Professor of Theoretical Physics at the California Institute of Technology (Caltech), where he has held positions since 2016. He is part of the Division of Physics, Mathematics and Astronomy, contributing to the Physics Department. His career progression includes roles as Visiting Associate (2016–17), Assistant Professor (2017–20), and Associate Professor (2020–21) before becoming full Professor in 2021. Education: A.B. and A.M. from Harvard University (2006), CASM from the University of Cambridge (2007), and Ph.D. from Harvard University (2012). His research focuses on conformal field theory (CFT), bootstrap methods, quantum field theory, and AdS/CFT correspondence. Key areas include precision computations in strongly coupled systems, critical phenomena, and applications to holography and quantum gravity. Research highlights include advancing the conformal bootstrap program, analyzing CFT data in 3D Ising models, and exploring connections between CFTs and gravitational theories. His work often bridges theoretical frameworks with numerical methods, yielding insights into operator product expansions (OPE), spectral gaps, and causality constraints. Affiliations include the Institute for Quantum Information and Matter (IQIM) and other Caltech research centers. His contributions have shaped modern approaches to understanding universality in critical systems and the geometric aspects of quantum field theories. Notable collaborations involve high-precision calculations, bootstrap island techniques, and studies of thermal QFT and light-ray operators. His work emphasizes interdisciplinary methods, combining analytic tools with computational advancements to tackle complex theoretical problems.

Jennifer Dyمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Explainable AI
• +۲ مورد دیگر

Jennifer Dy is a Distinguished Professor at Northeastern University with joint appointments in Electrical and Computer Engineering and Khoury College of Computer Sciences. As Director of AI Faculty at the Institute for Experiential AI, she leads research in machine learning, computer vision, and explainable AI. Her work spans biomedical applications (COPD phenotyping, neuroimaging) and fundamental algorithms (active learning, continual learning). She holds a PhD from Purdue University and is an AAAI Fellow. Research Focus: Dy develops methodologies for robust and interpretable machine learning, including techniques for model stability in continual learning, dependency-aware active learning, and axiomatic explanation frameworks. Her applied research advances diagnostic tools using Raman spectroscopy, CT imaging, and multi-omics biomarker discovery. Awards: Recognized with the NSF CAREER Award, Faculty Research Team Award, and AAAI Fellowship for contributions to unsupervised learning and medical AI. Publication Trends: Recent articles demonstrate strong cross-disciplinary integration, combining theoretical advances in explainability/robustness with applications in healthcare, wireless systems, and particle physics. Methodological themes include optimal transport theory, probabilistic modeling, and transformer architectures.

Jorge Piekarewiczمشاهده پروفایل

استاد

• Nuclear Theory
• Neutron Stars
• Dense Matter
• +۶ مورد دیگر

Prof. Jorge Piekarewicz is a Professor of Physics at Florida State University (FSU), affiliated with the College of Arts and Sciences. He earned his Ph.D. in theoretical nuclear physics from the University of Pennsylvania in 1985, followed by postdoctoral research at Caltech and Indiana University. Since 1990, he has been a faculty member at FSU. Education: Ph.D. in Theoretical Nuclear Physics, University of Pennsylvania (1985) Postdoctoral Fellowships: California Institute of Technology and Indiana University Research Interests: His work focuses on extreme-density nuclear matter in neutron stars, bridging terrestrial experiments and astrophysical observations. Key areas include: Neutron star structure and equation of state Weak interaction probes (e.g., parity-violating electron scattering) Multi-messenger astronomy insights from neutron star mergers Covariant energy density functionals and symmetry energy constraints Articles Trends: Recent work emphasizes refining the nuclear equation of state using PREX-CREX experiments, gravitational wave data (e.g., GW170817), and Bayesian methods. Key themes include neutron skin thickness, crust-core interactions, and symmetry energy sensitivity. Service & Outreach: Nuclear Science Advisory Committee (2012–2015) FRIB Theory Alliance Director (2017–2021) INT National Advisory Committee Chair (2018–2020) OLLI Lecturer on stellar evolution and neutron stars Collaborations: Active involvement with CERN, FRIB, JLab, and the Facility for Rare Isotope Beams (FRIB). Research leverages facilities like the Relativistic Heavy Ion Collider and the National Superconducting Cyclotron Laboratory.