جست‌وجوی استاد و پژوهشگر

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.

Stefan Leuteneggerمشاهده پروفایل

استادیار

• Mobile Robotics
• SLAM (Simultaneous Localization and Mapping)
• Computer Vision
• +۷ مورد دیگر

Prof. Stefan Leutenegger is a tenure-track Assistant Professor at Technische Universität München (TUM), leading the Machine Learning for Robotics group within the TUM School of Computation, Information, and Technology. Previously, he held roles as Senior Lecturer (2018–2021) and Lecturer (2014–2018) at Imperial College London's Dyson Robotics Lab, where he founded the Smart Robotics Lab. He earned his PhD (2014) from ETH Zurich, focusing on autonomous solar-powered aircraft navigation, and holds BSc (2006) and MSc (2009) in Mechanical Engineering from ETH Zurich. His research centers on mobile robotics, particularly enabling robots (e.g., drones) to perceive and navigate complex environments using machine learning and sensor data fusion. Key focus areas include SLAM, event-based vision, 3D reconstruction, and autonomous exploration. He has pioneered algorithms like BRISK (2011), OKVIS (2014), and ElasticFusion (2016), advancing real-time robotics perception. Notable Awards: Imperial College President's Award (2018), Best ECCV Paper (2016), ETH Medal for Dissertations (2015). Labs: TUM's Machine Learning for Robotics Group, Imperial's Smart Robotics Lab. Publications: Over 100 papers, including seminal works in CVPR, ECCV, and Robotics: Science and Systems. Current projects include DigiForests (forest inventory via robotics), aerial additive manufacturing, and object-centric semantic mapping. His work bridges theory and practice, with applications in autonomous drones, construction robotics, and human-robot interaction.

Gretchen A. Machtمشاهده پروفایل

دانشیار

• Human Systems Engineering
• Team Performance
• Sustainability
• +۷ مورد دیگر

Gretchen A. Macht is an Associate Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island, College of Engineering. She specializes in Human Systems Engineering, with research emphasizing team performance, sustainability, electric vehicles, solar energy systems, and voting systems. Her work bridges engineering, ergonomics, and public policy. Her research interests focus on understanding and optimizing human-centered systems. She investigates team communication and performance through fuzzy cognitive maps and entropy modeling, develops sustainable design practices for products and energy systems, and analyzes user behavior in electric vehicles and solar installations. A significant portion of her research is dedicated to election systems, where she uses simulation to improve accessibility, safety, and efficiency of in-person voting, particularly during public health crises. Her recent publications span topics such as EV charging behavior, solar installation safety, voting simulation, and team dynamics. These works reflect interdisciplinary trends combining systems engineering, data analytics, ergonomics, and sustainability science. She frequently employs simulation, naturalistic data analysis, and human factors methodologies. Dr. Macht has secured substantial grant funding from organizations including the U.S. Election Assistance Commission, National Science Foundation, MIT, and Democracy Fund. She serves as Principal Investigator (PI) or Co-PI on projects related to election systems (e.g., SMILE, URI VOTES), ergonomic redesign of protective gear, and community solar development. She leads the SIS Lab and the URI VOTES initiative, fostering collaborative research on simulation and system design. Her lab supports graduate students in conducting impactful research at the intersection of engineering and societal challenges. Notable grants include: PI, MIT: “Voting in Person - White Paper” (2023) PI, US EAC: “SMILE 2.0” (2022) PI, Democracy Fund: “URI VOTES Pocket Guide Tool” (2022) Co-PI, NSF: “Election Science: Convergence Accelerator Workshop Proposal” (2021) PI, US EAC: “SMILE: Simulation Models for an Immersive Learning Environment” (2021) She has advised several graduate students, including Mehrsa Khaleghikarahrodi, Nicholas D. Bernardo Jr., and Tim Jonas, whose research aligns closely with her focus areas in EVs, elections, and team performance.

Colin Jonesمشاهده پروفایل

دانشیار

• Optimal Control
• Model Predictive Control
• Optimization
• +۶ مورد دیگر

Colin Jones is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in the Automatic Control Laboratory, School of Engineering. He earned his BASc and MASc in Electrical Engineering and Mathematics from the University of British Columbia (1994-2002) and a PhD in Control Theory from the University of Cambridge (2002-2005). Prior to EPFL, he was an assistant professor there and a senior researcher at ETH Zürich. Current role: Director of the Robotics, Control, and Intelligent Systems Doctoral Program at EPFL Research focus: Optimization-based and model predictive control (MPC) for renewable energy systems, green energy management, and data-driven control methods His recent work (2023-2025) spans high-speed predictive control , smart grid optimization , and physically consistent neural networks , with applications to buildings, hovercrafts, and power systems. He has secured an ERC Starting Grant for his research on optimal control of building networks. Publications include over 200 papers in journals like Automatica , IEEE Transactions , and Energy and Buildings . Notable article trends include distributed optimization , data privacy in energy systems , and nonlinear MPC for autonomous vehicles . Scientific Awards : ERC Starting Grant for optimal control of building networks Advising : Supervises 10 current PhD students and has advised 19 past PhD students, including Alessandretti Andrea and Diwale Sanket Sanjay. Grants and projects emphasize smart energy systems , predictive demand response , and nonlinear control .

Martin Jakobssonمشاهده پروفایل

استاد

• Marine Geology
• Arctic Ocean Glacial History
• Paleoceanography
• +۴ مورد دیگر

Martin Jakobsson is a Professor of Marine Geology and Geophysics at Stockholm University's Department of Geological Sciences. His career spans international research expeditions and leadership roles, including Dean of Earth Science (2021) and Head of Department (2012-2018). A key member of the Marine Geology group, he studies Arctic and Antarctic glacial history through sediment analysis and seafloor mapping. PhD from Stockholm University (2000) Academy Fellow, Royal Swedish Academy of Sciences (2004-2009) Professor II position at University Centre of Svalbard (2011-) His research focuses on marine geological archives to reconstruct glacial cycles, ice-ocean interactions, and bathymetric mapping. As GEBCO Vice-Chair (2013-2020), he led initiatives for global seabed mapping through the Seabed 2030 project. Recent publications reveal expertise in: Arctic Ocean paleocirculation Methane release from thawing permafrost Ice sheet sensitivity to oceanic warming High-resolution bathymetric analysis Scientific recognition includes: Election to Royal Swedish Academy of Sciences (2012) 1st Vice President, Royal Swedish Academy of Sciences (2016-2019) Membership in Norwegian Scientific Academy for Polar Research (2016) He leads international collaborations on polar research vessels, with over a year of cumulative ship time and multiple Co-Chief Scientist roles on Arctic expeditions.

Takemichi Okuiمشاهده پروفایل

استاد

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

Takemichi Okui is a Professor of Physics at Florida State University (FSU), part of the Department of Physics within the College of Arts and Sciences. He holds a Ph.D. from the University of California, Berkeley (2003), and a B.Sc. from Hokkaido University, Japan (1998). His research focuses on High Energy Theory, with expertise in particle physics, cosmology, and quantum field theory. Okui has been recognized with awards such as the FSU Developing Scholar Award (2017) and University Teaching Award (2016). He has mentored multiple graduate students and postdoctoral researchers. Okui's academic roles include serving on FSU's Graduate Affairs Committee and organizing events like the Dirac Lectures. He has taught advanced courses in high energy physics, quantum field theory, and relativity. His research has been supported by grants from the U.S. Department of Energy (DOE) and Japan's JSPS, totaling over $10 million in funding. Key research interests include neutrino physics, dark matter, and axion models. Recent work explores primordial black holes and B-meson decays at the Belle II experiment. Okui actively contributes to professional services, reviewing grants for NSF/DOE and refereeing top journals like Physical Review Letters.

Daniel Segrèمشاهده پروفایل

استاد

• Systems Biology
• Metabolic Engineering
• Microbial Ecology
• +۷ مورد دیگر

Professor Daniel Segrè is a faculty member at Boston University, holding the title of Professor of Biology, Bioinformatics, and Biomedical Engineering. His research focuses on systems biology, microbial ecology, and metabolic engineering, with an emphasis on understanding complex biological networks and their applications in bioenergy and biomedicine. Segrè leads the Segre Lab ( segrelab.bu.edu ), where theoretical and computational approaches are applied to study metabolism, microbial interactions, and synthetic biology. Segrè earned his PhD from the Weizmann Institute of Science, Israel. His work bridges fundamental science and applied engineering, addressing topics such as microbial community dynamics, metabolic pathway design, and environmental microbiome applications. Research Interests: Systems biology of metabolism, evolution of biochemical networks, microbial interactions, bioinformatics, and environmental microbiome engineering. His lab develops computational models (e.g., COMETS) to simulate microbial ecosystems and design synthetic microbial communities for climate change mitigation and bioenergy production. Teaching: Courses include BE 777 (Computational Genomics), BF 821 (Bioinformatics Seminar), and BF 571 (Dynamics and Evolution of Biological Networks). These courses reflect his expertise in integrating computational methods with biological systems analysis.

• Theoretical Plasma Physics
• Magnetic Reconnection
• Plasma Turbulence
• +۴ مورد دیگر

James F. Drake is a Distinguished University Professor in the Department of Physics at the University of Maryland, College Park, with affiliations at the Institute for Physical Science and Technology (IPST) and the Institute for Research in Electronics and Applied Physics (IREAP). He holds a B.S., M.S., and Ph.D. in Physics from UCLA (1975). His research focuses on theoretical plasma physics, particularly magnetic reconnection and plasma turbulence, with applications to space physics, solar flares, and magnetic fusion. Key contributions include elucidating the role of whistler waves in reconnection dynamics and advancing understanding of energy release mechanisms in plasmas. Dr. Drake’s awards include the American Physical Society Fellowship and the Humboldt Senior Scientist Research Award. He teaches advanced physics courses (e.g., Physics 604, 611, 761-762) and has pioneered computational models to study reconnection, turbulence, and particle acceleration. Recent work leverages Parker Solar Probe data to explore solar wind dynamics and reconnection in near-Sun environments. Education: UCLA (B.S., M.S., Ph.D. in Physics, 1975) Research Themes: Magnetic Reconnection, Plasma Turbulence, Space Plasma Dynamics Notable Achievements: Leader in reconnection theory; developer of kinetic simulation frameworks; contributor to NASA missions

• Nova Outbursts
• Thermonuclear Explosions
• White Dwarfs
• +۷ مورد دیگر

Timothy John O'Brien is a Professor of Astrophysics and Associate Director of the Jodrell Bank Centre for Astrophysics at the University of Manchester, Faculty of Science & Engineering, Department of Physics & Astronomy. He also served as Director of Teaching & Learning in the Department of Physics & Astronomy from 2016-2020 and as Associate Dean for Social Responsibility for the Faculty of Science & Engineering during the same period. His educational background includes a B.Sc. (Hons) in Physics with Astrophysics from the University of London (1985) and a Ph.D. in Astrophysics from the University of Manchester (1990). Professor O'Brien's research concentrates on the study of exploding stars—mainly nova outbursts caused by thermonuclear explosions on the surface of white dwarfs in binary star systems. Over the years, he has developed expertise in a wide range of astrophysical techniques, working across the spectrum from radio waves to X-rays while also carrying out numerical simulations of the aftermath of explosions using his own hydrodynamic codes. Recently, he has developed an interest in the search for extra-terrestrial intelligence (SETI) using radio telescopes. His research fingerprint shows strong activity in Novae (100%), Optical Bursts (94%), Recurrent Novae (56%), Ejecta (45%), Planetary Nebula (38%), Emissions (32%), Classical Novae (32%), and Nebula (28%). His recent publications demonstrate a continued focus on nova outbursts, particularly in symbiotic novae systems like RS Ophiuchi, with high-resolution imaging techniques and multi-wavelength observations. His work spans theoretical modeling, observational astronomy across the electromagnetic spectrum, and data analysis from major telescope facilities. Kelvin Medal of the Institute of Physics (2014) for Public Engagement Professor O'Brien has extensive teaching experience, having worked as a lecturer in three universities since 1988. He has taught a wide range of courses in astronomy & astrophysics, physics, applied mathematics, and computing. From 1999-2009, he directed a distance learning program in astronomy that enrolled over 1,300 students. His current teaching includes Dynamics, Physics of the Solar System, and a course on the Search for Extraterrestrial Life. He has also supervised numerous project students throughout his career. He is actively involved in public engagement, including regular media appearances and events at the Jodrell Bank Centre for Engagement. He was a co-founder of the bluedot festival and contributed to the successful nomination of Jodrell Bank Observatory as a World Heritage Site in 2019.

Yuzhang Linمشاهده پروفایل

استادیار

• Smart Grid
• Renewable Energy Systems
• Power Systems Modeling
• +۵ مورد دیگر

Dr. Yuzhang Lin is an Assistant Professor in the Department of Electrical and Computer Engineering at NYU Tandon School of Engineering. Previously, he held an Assistant Professor position at the University of Massachusetts Lowell (2018–2023). He earned his Ph.D. from Northeastern University and B.Eng./M.S. from Tsinghua University. His research focuses on smart grids, renewable energy systems, cyber-physical resilience, and machine learning applications. He leads editorial roles for IEEE Transactions on Power Systems and chairs IEEE PES Task Forces on standard test cases and distribution system operations. Dr. Lin’s research has been funded by NSF, DOE, ONR, and others. He is a recipient of the NSF CAREER Award and Northeastern’s Graduate Student Outstanding Research Award. His work emphasizes data-driven solutions for grid resilience, including state estimation, cyber-physical defense, and distributed energy integration. The Lin Group actively seeks PhD candidates interested in advancing smart grid technologies. Education: Ph.D. (Northeastern University), B.Eng./M.S. (Tsinghua University) Grants: NSF, DOE OE/EECE/CESER, ONR, NYSERDA, MassCEC Service Roles: IEEE PES Task Force Co-chair (Standard Test Cases), Secretary (Distribution System Operations Subcommittee) Publications span top journals/conferences, focusing on state estimation, inverter-based resource control, and machine learning for grid systems. His lab develops cutting-edge tools for power system resilience and renewable energy integration.

Dennis W. Dukeمشاهده پروفایل

استاد

• History of Ancient Astronomy
• Computational Ancient Astronomy
• High Performance Computing
• +۵ مورد دیگر

Dennis W. Duke is a Professor of Physics at Florida State University, with a joint appointment in the Department of Physics within the College of Arts and Sciences and the School of Computational Science. He has been a faculty member at FSU since 1979, progressing from Visiting Assistant Professor to his current position as full Professor since 1992. Duke has also held significant leadership roles including Director of the Supercomputer Computations Research Institute (1993-1998) and Director of the San Diego Supercomputer Center (1996-1997). Duke's research spans multiple disciplines with primary focuses on the history of ancient astronomy, computational physics, and high-performance computing. His work in ancient astronomy includes detailed studies of Greek, Babylonian, and Indian astronomical traditions, with particular emphasis on planetary models, trigonometry development, and historical measurement techniques. In computational science, he has made contributions to nonlinear dynamics, chaos theory, and statistical process control. Duke is particularly known for creating educational computer animations of ancient planetary models that have become valuable teaching tools. Analysis of Duke's 15 most recent publications reveals a consistent focus on historical astronomy, with approximately 75% of his work dedicated to analyzing ancient astronomical systems from Greek, Babylonian, and Indian traditions. The remaining publications address statistical methods and computational techniques. His historical research often combines mathematical analysis with historical scholarship to reconstruct and understand ancient astronomical practices. COFRS Award, The Florida State University (1985) COFRS Award, The Florida State University (1986) Developing Scholar Award, The Florida State University (1986) President's Continuing Education Award, The Florida State University (1992) Duke has been extensively involved in professional service, serving on numerous national committees related to supercomputing and organizing major conferences including multiple Supercomputing 'XY events from 1988 through 2006. His teaching extends beyond traditional academic boundaries through public outreach initiatives such as chairing the Board of Directors for Tallahassee Free-Net, Inc. and serving on the Leon County Schools Information Services Advisory Board. He has supervised numerous graduate students in computational physics and the history of science, though specific student names are not documented in the provided materials. Duke maintains an active research laboratory focused on computational ancient astronomy, where he develops mathematical models and computer animations to visualize historical astronomical concepts. His team has created an extensive collection of interactive animations demonstrating planetary models from Ptolemy through Copernicus, which are widely used in educational settings. Current projects include further analysis of ancient star catalogs and the development of more sophisticated visualization tools for historical astronomical concepts.

Matthew W. Kunzمشاهده پروفایل

دانشیار

• Astrophysical plasma dynamics
• Instability and turbulence in plasmas
• Transport in weakly collisional plasmas
• +۲ مورد دیگر

Matthew W. Kunz is an Associate Professor of Astrophysical Sciences at Princeton University, serving as Associate Chair of the Department of Astrophysical Sciences and Director of Graduate Studies for the Program in Plasma Physics. He holds a B.S. in Astronomy-Physics and B.A. in Music from the University of Virginia (2003), and a Ph.D. in Physics from the University of Illinois at Urbana-Champaign (2009). His research focuses on astrophysical plasma dynamics, including instability, turbulence, and transport in weakly collisional and poorly ionized plasmas, with applications to galaxy clusters, accretion disks, and the solar wind. Dr. Kunz's work employs analytical and numerical methods to study multi-scale plasma dynamics, aiming to understand angular momentum transport in accretion disks, kinetic turbulence cascades, and magnetic field evolution. His research has been recognized with several awards, including an NSF CAREER Award (2020-25), Alfred P. Sloan Research Fellowship (2017-20), and NASA Einstein Postdoctoral Fellowship (2011-14). He teaches courses on plasma astrophysics (AST 521), irreversible processes in plasmas (AST 554), and astrophysical research methods (AST 303). His publications demonstrate a consistent focus on plasma turbulence, magnetic reconnection, and cosmic ray propagation, with recent work emphasizing collisionless plasma dynamics and high-energy astrophysical phenomena.

Afifi al-Akitiمشاهده پروفایل

مدرس

• Islamic Theology
• Islamic Philosophy
• History of Science in Islam
• +۳ مورد دیگر

Afifi al-Akiti serves as University Research Lecturer in Islamic Studies at the University of Oxford's Faculty of Theology and Worcester College, holding additionally the KFAS Fellowship in Islamic Studies at the Oxford Centre for Islamic Studies. His academic profile centers on medieval Islamic intellectual traditions with institutional ties spanning Oxford's theological faculty, constituent college, and specialized research centers. His research investigates Islamic theology (kalam), philosophy (falsafa), and science through analysis of al-Ghazali's engagement with Greek philosophy—particularly Avicenna—and explores science-religion dynamics in Islamic civilization. Specialized interests include medieval Arabic manuscripts, Moroccan religious lithographs (Hajariyyat), Islamic astronomy (ilm al-falak), and Shafi'i jurisprudence. Current editorial projects focus on al-Ghazali's Madnun corpus and a 9th-century astronomical manuscript by Nastulus concerning Byzantine lunar-solar gearing mechanisms. Publication trends reveal consistent scholarly engagement with medieval Islamic philosophy's contemporary relevance, particularly through al-Ghazali's works addressing modernity, ethics of war, and prophethood concepts. His output bridges historical textual analysis with current debates in Islamic thought, demonstrating methodological rigor in manuscript studies while maintaining applied relevance to modern theological discourse. Key recognition includes: KFAS Fellowship in Islamic Studies Al-Akiti actively shapes academic discourse through convening the 'Islam and Science' seminar series (2009) and the Islamic Studies panel for the International Society for Religion, Literature and Culture conference (2010). His public engagement includes BBC documentaries on 'Science and Islam' and 'The Muslim Tommies' (2009), preparation of the 'Sciences and Arts in Early Islam' exhibition at Oxford's Museum of the History of Science (2010-11), and participation in the Oxford Scriptural Reasoning Group—demonstrating commitment to interdisciplinary knowledge translation beyond traditional academic boundaries.

Ineke De Moortelمشاهده پروفایل

استاد

• Solar Physics
• Magnetohydrodynamics (MHD)
• Coronal Heating
• +۴ مورد دیگر

Prof Ineke De Moortel is a Professor in Applied Mathematics at the University of St Andrews, affiliated with the School of Mathematics and Statistics. Her research focuses on magnetohydrodynamic (MHD) waves in the solar corona, coronal seismology, and numerical modeling of solar phenomena. She has led projects funded by organizations like the Leverhulme Trust and STFC, contributing to understanding coronal heating mechanisms and wave dynamics. Prof De Moortel has supervised PhD students including Elisabeth Enerhaug and Anmol Kumar. She holds editorial roles, including at the Monthly Notices of the Royal Astronomical Society, and has received prestigious awards such as the Phillip Leverhulme Prize (2009) and the RAS Fowler Award (2010). Research Highlights: MHD wave propagation, coronal seismology, numerical simulations of solar plasma dynamics. Projects: Includes 'Joining up an Unprecedented View of our Sun' (Leverhulme Trust) and collaborations on the Multi-slit Solar Explorer (MUSE) mission. Awards: Royal Society of Edinburgh Young Academy Co-Chair (2012), Deputy Chair of UK Solar Physics Council (2013).

Camillo J. Taylorمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• 3D Reconstruction
• +۶ مورد دیگر

Camillo J. Taylor is the Raymond S. Markowitz President’s Distinguished Professor in the Department of Computer and Information Science at the University of Pennsylvania , where he has been a faculty member since 1997. He also serves as Associate Dean for Diversity, Equity, and Inclusion at the School of Engineering and Applied Science. His research focuses on Computer Vision and Robotics , particularly in 3D reconstruction, semantic mapping, and autonomous navigation. Education: A.B. in Electrical Computer and Systems Engineering, Harvard College (1988) M.S. and Ph.D. in Computer Science, Yale University (1990, 1994) Research Interests: Dr. Taylor’s work bridges Computer Vision and Robotics to enable autonomous systems to perceive and navigate complex environments. Key themes include semantic SLAM, event camera applications, and meta-learning for adaptive controllers. His projects often integrate vision, physics, and multi-agent collaboration, as seen in systems like EvMAPPER and OCCAM . Recent Article Trends: His 2024–2025 publications focus on semantic mapping , event-based vision , and multi-agent LLM systems , reflecting his lab’s emphasis on real-time perception, physics-informed reconstruction, and rational decision-making in robotics. These works span applications from solar eclipse imaging to wildfire analysis and natural hazard resilience. Awards: NSF CAREER Award (1998) Lindback Minority Junior Faculty Award (2001) IEEE WACV Best Paper Award (2012) Lindback Distinguished Teaching Award (2012) Advising and Service: Dr. Taylor has advised numerous PhD students, including Jason Hughes and Bowen Jiang. He has served as a Program Chair for CVPR (2006, 2017) and General Chair for ICCV (2021). His contributions to the GRASP Laboratory have advanced autonomous micro-UAVs and semantic SLAM.