جست‌وجوی استاد و پژوهشگر

Mahdi Haddadمشاهده پروفایل

عضو هیئت علمی

• Reservoir Geomechanics
• Subsurface Electromagnetic Monitoring
• Hydraulic Fracture Modeling
• +۳ مورد دیگر

Dr. Mahdi Haddad is a Research Assistant Professor at the Bureau of Economic Geology (BEG) within the Jackson School of Geosciences at The University of Texas at Austin. His expertise spans reservoir geomechanics, subsurface electromagnetic monitoring, hydraulic fracture modeling, and induced seismicity. He leads the revitalized BEG Rock Mechanics Lab and oversees projects at the Advanced Energy Consortium (AEC) lab and Devine Field Test Site (DFTS). His work focuses on developing diagnostic technologies to mitigate risks in subsurface energy operations, including CO2 storage, hydraulic fracturing, and fault reactivation analysis. Education: B.S. in Mechanical and Petroleum Engineering from Sharif University of Technology, Iran; M.S. in Mechanical Engineering (Energy Conversion) from Sharif University; Ph.D. in Petroleum Engineering from UT-Austin. Research Interests: Dr. Haddad specializes in hydraulic fracture dynamics , induced seismicity , poroelastic modeling , and subsurface electromagnetic monitoring . His projects integrate field experiments, numerical simulations, and advanced geophysical techniques to improve subsurface operation safety and efficiency. Awards: Recipient of the 2020 SPE Reservoir Evaluation & Engineering Journal Technical Reviewer Award and 2019 ARMA Future Leader designation. He co-founded the ARMA Induced Seismicity Webinar Series. Advising & Grants: Served as Principal Investigator (PI) on an STTR project for fracturing-induced seismicity diagnostics. Mentored PhD students in petroleum engineering and a lab technician. Active in technical committees for SPE and ARMA. Labs & Teams: Directs the BEG Rock Mechanics Lab and collaborates on initiatives at the AEC Lab and DFTS, advancing technologies for subsurface monitoring and energy resource management.

Matteo Neriniمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Matteo Nerini is a Postdoctoral Researcher at Imperial College London's Wireless Communications and Signal Processing Lab within the Faculty of Engineering. His work focuses on signal processing and machine learning applications for wireless communications, particularly in Beyond Diagonal Reconfigurable Intelligent Surfaces (BD-RIS) . He holds a Ph.D. (2024) and M.Sc. (2020) from Imperial College, and dual M.Sc. degrees from the University of Bologna (2020) and NTNU (2020). Visiting Researcher at Technical University of Munich (2023) Recipient of the Eryl Cadwallader Davies Prize (2025) for best PhD thesis His research explores advanced wireless systems including BD-RIS prototypes, analog computing with microwave networks, and optimization frameworks for reconfigurable surfaces. He has contributed to over 20 peer-reviewed publications and maintains active GitHub repositories on topics like 5G network slicing and BD-RIS design. Key technical areas include: RIS modeling and optimization Wideband OFDM communication systems Analog beamforming techniques Machine learning for network security His recent work emphasizes practical implementations of BD-RIS architectures and their impact on 5G/6G networks. Active collaborations involve both academic institutions and industry partners in wireless communication technologies.

• Materials Engineering
• Condensed Matter Physics
• Superconductivity
• +۳ مورد دیگر

Professor Alexey Pan is a faculty member in the School of Physics at the University of Wollongong, within the Faculty of Engineering and Information Sciences. His research focuses on materials engineering and condensed matter physics, with particular emphasis on superconductivity, metallurgy, and thin film technology. He has secured significant grants, including a Benchtop Scanning Electron Microscope grant (2023) and funding from the Australian Academy of Science for Ukraine-Australia collaborative research (2023). Professor Pan’s work explores advanced materials such as superconducting thin films, high-carbon steels, and nanostructured materials. His recent studies include optimizing flux pinning in superconductors, analyzing phase transformations in steels, and developing novel fabrication techniques for enhanced material performance. He currently supervises PhD and MPhil students in projects related to YBCO superconductors, graphene analogs, and radiation dosimetry. His funding and research collaborations highlight expertise in both fundamental and applied materials science, with applications in energy storage, medical technologies, and advanced manufacturing.

David L. Trumperمشاهده پروفایل

استاد

• Precision Engineering
• Mechatronics
• Control Systems
• +۶ مورد دیگر

David L. Trumper is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He has been affiliated with MIT since 1993, holding various academic ranks including Assistant and Associate Professor before attaining his current full Professorship. His academic journey includes degrees from MIT in Electrical Engineering and Computer Science (B.Sc., 1980; M.Sc., 1984; Ph.D., 1990). Prior to MIT, he held academic positions at the University of North Carolina at Charlotte and industry roles at Hewlett-Packard and Waters Chromatography Division of Millipore. Trumper’s research focuses on precision mechatronic systems, magnetic levitation, novel actuators and sensors, and biomedical device development. Key areas include high-precision motion control, magnetic suspensions, and applications in energy systems and bioengineering. He has contributed to advancements in linear motors, bearingless motors, and microphysiological systems (organs-on-chips). His honors include the IFAC Mechatronics Paper Prize (2014 and 2016), the 2017 NI Engineering Impact Award, and the MIT Committed to Caring Award. Trumper has also been involved in professional service, including roles on the NASCENT NSF Engineering Research Center Advisory Board and organizing committees for ASPE meetings. In teaching, he coordinates MIT’s Independent Activities Period and contributes to graduate admissions. His patents span electromagnetic imaging, bearingless motors, and microfluidic devices. Research labs associated with his work include LevLab and FlexLab, focusing on mechatronics and control systems education and advanced applications.

• Mining Engineering
• Mine Safety
• Coal Mine Gas Management
• +۷ مورد دیگر

Professor Ting Ren is a leading academic in Mining Engineering and Mine Safety at the University of Wollongong. He holds a PhD from the University of Nottingham and has over 30 years of industry experience, focusing on dust mitigation, gas management, and computational modelling. He is affiliated with the School of Civil, Mining and Environmental Engineering and serves as an Adjunct Professor at China University of Mining & Technology. His research spans coal mine safety, geomechanics, and mine fire prevention, supported by over $4 million in industry and governmental grants. Education: PhD in Mining Engineering, University of Nottingham (UK). Key roles include leading industry-driven projects for BHP, Anglo American, and CSIRO. Awards include the BMAs Health & Safety Award (2009) and CSIRO's Partnership Excellence Award (2006). He has advised government committees and international bodies, such as the Queensland Coal Mining Board of Inquiry and the US National Academies. Research Interests: Underground mining methods, mine dust control, coal gas management, and computational fluid dynamics (CFD) applications in mining. Recent articles focus on tunnel stability, coal fracture mechanics, and dust mitigation via machine learning and VR-CFD tools. His work addresses global mining challenges, including spontaneous combustion and gas outburst risks. Grants and Leadership: Over 30 funded projects, including ARC Training Centres and ACARP initiatives. Serves as ERA Cluster Chair (Engineering) and collaborates internationally with institutions in China, India, and South Africa. Actively supervises PhD and MPhil students in dust monitoring, gas drainage, and composite materials for mining infrastructure. Labs/Teams: Leads the Mining Safety and Technology research group, focusing on innovative solutions for health and safety in underground operations. Collaborates with industry partners to develop practical applications of advanced modelling and protective technologies.

Tristan Hubschمشاهده پروفایل

استاد

• String Theory
• Mathematical Physics
• Supersymmetry
• +۱ مورد دیگر

Tristan Hubsch is Professor of Physics at Howard University, specializing in string theory, supersymmetry, and Calabi-Yau manifolds. He earned a Ph.D. from the University of Maryland and held postdoctoral positions at Harvard and the University of Texas. His research bridges particle physics, cosmology, and algebraic geometry. Hubsch authored 'Calabi-Yau Manifolds: A Bestiary for Physicists' and 'Advanced Concepts in Particle and Field Theory'. He investigates mirror symmetry, spacetime vacua, and off-shell supersymmetry representations using graph theory and codes. He teaches electromagnetism, quantum mechanics, and mathematical methods. Hubsch has advised numerous Ph.D. students and received sustained DOE funding. He co-organizes conferences and serves on editorial boards for journals like Nuclear Physics B.

Robert Weigelمشاهده پروفایل

استاد

• Space Weather
• Magnetospheric Physics
• Geomagnetism
• +۵ مورد دیگر

Dr. Robert Weigel is a Professor in the Physics & Astronomy Department at George Mason University's College of Science. His research focuses on magnetospheric physics, geomagnetism, and space weather, with significant contributions to modeling solar wind-magnetosphere-ionosphere interactions. He actively develops open science infrastructure like the Heliophysics Application Programmer's Interface (HAPI) for interoperable data access. Education: PhD in Physics (University of Texas at Austin, 2000), MS in Physics (University of Illinois at Urbana-Champaign, 1997), BS in Mechanical Engineering (University of Wisconsin-Platteville, 1995). Research interests emphasize geoelectric field prediction, geomagnetically induced currents (GICs), and the socio-economic impacts of space weather events. Recent work includes machine learning approaches for historical space weather reconstruction and physics-informed neural networks for plasma modeling. His publications highlight advancements in HAPI standard adoption, data mining techniques for magnetotail reconnection analysis, and interdisciplinary frameworks linking physics, engineering, and economics to assess space weather risks. Dr. Weigel has been a key contributor to open-source software ecosystems in heliophysics, including the Virtual Radiation Belt Observatory (VRBO) and Autoplot visualization tools. He advocates for equitable recognition of research software engineers in scientific contributions.

• Particle Physics
• High Energy Physics
• Effective Field Theories
• +۳ مورد دیگر

Alexey Petrov is a Professor and Endowed Chair serving as Department Chair of Physics and Astronomy at the University of South Carolina's McCausland College of Arts and Sciences. He joined USC in 2022 after a 21-year tenure at Wayne State University (WSU), where he held professorial roles since 2001 following postdoctoral work at Cornell University and Johns Hopkins University. He earned his Ph.D. in Physics from the University of Massachusetts Amherst in 1997. His research focuses on effective field theories applied to electroweak interactions, QCD, CP-violation, and heavy flavor physics. He authored textbooks including Effective Field Theories (2016) and Indirect Searches for New Physics (2021), and organized conferences. His work is funded by NSF and DOE grants. Notable awards include the 2005 NSF CAREER Award, 2015 APS Fellow distinction, and WSU's Charles H. Gershenson Distinguished Faculty Fellowship (2018). He advises the WSU Society of Physics Students and contributes to Symmetry factor blog and The Conversation platform. He serves on the editorial board of Advances in High Energy Physics .

Scott Kovaleskiمشاهده پروفایل

استاد

• Electromagnetics
• Pulsed Power
• Nuclear Engineering
• +۲ مورد دیگر

Scott Kovaleski is Professor of Electrical Engineering and Computer Science at the University of Missouri. He holds a Ph.D. and M.S.E. from the University of Michigan and a B.S. from Purdue University. His research develops charged particle sources, electromagnetic systems, and nanofabrication methods using pulsed power and computational techniques. Current projects focus on piezoelectric-driven particle accelerators, metamaterial design optimization, and carbon nanotube electron sources. His laboratory advances compact radiation sources and computational methods for electromagnetic simulations. Recent publications demonstrate growing integration of deep learning in optical metasurface design and electromagnetic modeling. Key themes include physics-informed neural networks for inverse design, nanofabrication techniques, and vacuum electronics applications. His federally funded projects include research in charged particle generation, electromagnetics simulation, and pulsed power systems. Laboratory capabilities include computational modeling and experimental validation of particle acceleration systems.

Marko Horbatschمشاهده پروفایل

استاد

• Atomic Physics
• Quantum Optics
• Theoretical Physics
• +۳ مورد دیگر

Marko Horbatsch is a Full Professor in the Department of Physics and Astronomy at York University, Faculty of Science. His research focuses on theoretical and computational studies of atomic and molecular collisions, ionization, electron capture, and interactions with strong laser fields. Specific interests include multiple ionization in ion-atom/molecule collisions, quantum optics, and high-precision spectroscopy for measurements like the proton radius and electron electric dipole moment (eEDM). He develops novel computational methods and tests time-dependent density functional theory (TDDFT). Research areas include Atomic, Molecular, and Optical Physics (AMO), with a computational and theoretical emphasis. He is affiliated with the EDMcubed collaboration, advancing methods to measure the eEDM using matrix-isolated BaF molecules. His work spans topics such as Stark resonances, laser-molecule interactions, and precision experiments in quantum physics.

Stavros V. Georgakopoulosمشاهده پروفایل

استاد

• Wireless power transfer
• Novel Antennas
• Wearable antennas and body-centric wireless communications
• +۹ مورد دیگر

Stavros V. Georgakopoulos is a Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on antennas, wireless systems, and computational electromagnetics, with particular expertise in reconfigurable antennas, RFID, and aerospace applications. Education: Ph.D. in Electrical Engineering, Arizona State University (2001) M.S. in Electrical Engineering, Arizona State University (1998) B.S. in Electrical Engineering, University of Patras, Greece (1996) Teaching: Courses include Antennas for Wireless Communication Systems, RF Circuit Design, Digital Communication Systems, and Wireless Communication with Multimedia Applications. Research Interests: Stavros specializes in novel antenna designs, wearable antennas, computational electromagnetics, and electromagnetic compatibility. His work addresses challenges in aerospace systems, wearable technology, and high-frequency antenna applications. Labs & Affiliations: He leads the Transforming Antennas Center, advancing innovations in antenna technology for modern communication systems. His research integrates advanced simulation techniques like FDTD with practical measurement validations.

Mark S. Shephardمشاهده پروفایل

استاد

• Scientific Computing
• High-Performance Computing
• Numerical Simulation
• +۵ مورد دیگر

Mark S. Shephard is the Samuel A. Johnson '37 and Elizabeth C. Johnson Professor of Engineering and Director of the Scientific Computation Research Center (SCOREC) at Rensselaer Polytechnic Institute, with joint appointments in Mechanical, Aerospace and Nuclear Engineering and Computer Science departments. His research pioneers Scientific Computing and High-Performance Simulation , driving innovations in automatic mesh generation , adaptive analysis methods , and parallel adaptive simulation technologies . SCOREC's work spans five core areas: High-Performance Simulation Methods - advanced mathematical models and discretization Simulation Reliability – uncertainty quantification and adaptive techniques Massively Parallel Computations – scalable solutions for real-world engineering problems Multiscale Computations - cross-scale modeling frameworks Construction of Simulation Systems – collaborative workflow development Applications include fusion plasma, soft tissue modeling, additive manufacturing, and microelectronics. Recent publications (2022-2025) reveal intense focus on GPU-accelerated unstructured mesh methods for fusion energy research and multiscale material science, with growing emphasis on exascale computing and cyberinfrastructure for plasma physics. His work increasingly bridges computational theory with industrial applications in CAE and medical device evaluation. Professor Shephard has graduated 24 Ph.D. students and secured over 65 research grants from 13 government agencies including DOE (SciDAC Institutes, Exascale Computing Program), NSF, NIH, DoD, and NASA, plus funding from 44 industry partners. His leadership extends to SCOREC's collaborations with ten+ universities and commercial impact through medical simulation software used in arterial stent evaluation. As SCOREC's founder and director for 32 years, he integrates faculty from seven departments across Rensselaer to advance simulation technologies. His Simmetrix Inc. co-founding role demonstrates commitment to translating research into engineering solutions, with current work targeting fusion plasma systems and heterogeneous supercomputing environments.

Niranjan Venugopalمشاهده پروفایل

استاد مدعو

• Medical Imaging
• Radiation Oncology
• Image Processing
• +۴ مورد دیگر

Niranjan Venugopal is an Adjunct Professor in the Department of Physics and Astronomy at the University of Manitoba's Faculty of Science. He holds affiliations with CancerCare Manitoba, focusing on advanced imaging techniques for radiation treatment planning. Contact: Niranjan.Venugopal@umanitoba.ca , nvenugopal@cancercare.mb.ca . Academic Rank: Adjunct Professor Institution: University of Manitoba Department: Physics and Astronomy Affiliation: CancerCare Manitoba Research Interests: Development and application of advanced MRI, MRSI, and PET-CT techniques for radiation oncology. Key areas include: MRI Pulse Sequence Design MR Spectroscopic Imaging Quantum Mechanical Simulations of Metabolites MR Elastography Deep Learning for Image Segmentation Image Registration and Processing Recent trends in his publications (2025-2020) emphasize AI-driven radiotherapy workflows, synthetic CT generation, and precision targeting in lung/brain/prostate cancers using SBRT and HDR brachytherapy.

Joseph Scalia IVمشاهده پروفایل

دانشیار

• Geoenvironmental Engineering
• Geotechnical Engineering
• Contaminant Hydrology
• +۴ مورد دیگر

Joseph Scalia IV is an Associate Professor in the Department of Civil and Environmental Engineering at Colorado State University (CSU), affiliated with the College of Engineering. Prior to joining CSU, he worked as a senior associate at Exponent (formerly Failure Analysis Associates) in their Environmental and Earth Sciences Practice. His research focuses on geoenvironmental and geotechnical engineering, particularly the intersection of soil mechanics with contaminant hydrology, environmental engineering, and mine waste management. Scalia holds a B.S. in Civil and Environmental Engineering from Bucknell University and M.S. and Ph.D. in Geological Engineering from the University of Wisconsin-Madison. He leads the Geoenvironmental Lab, which addresses challenges in tailings management, unsaturated terramechanics, and barrier systems for environmental protection. Education: Ph.D., Geological Engineering, University of Wisconsin-Madison (2012) M.S., Geological Engineering, University of Wisconsin-Madison (2009) B.S., Civil and Environmental Engineering, Bucknell University (2007) Research interests include geotechnical stability of tailings storage facilities, hydraulic conductivity of waste materials, and innovative containment systems. His work integrates field experimentation, laboratory testing, and numerical modeling to solve environmental and geotechnical challenges. Recent studies emphasize soil moisture dynamics in mine tailings, chemico-osmotic effects in clay barriers, and polymer-enhanced geosynthetic clay liners for waste containment. Labs/Teams: Geoenvironmental Lab : Focuses on tailings engineering, landfill covers, and geoenvironmental barrier systems. Advancing barrier systems for contaminated sites and optimizing landfill cover designs are central themes. While no specific grants or awards are listed, his extensive publication record reflects sustained contributions to environmental geotechnics and mine waste management.

Carlton Leuschenمشاهده پروفایل

استاد

• Remote Sensing
• Radar Systems
• Ice Sheet Research
• +۳ مورد دیگر

Carlton Leuschen serves as Professor and Director of the Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas within the Department of Electrical Engineering and Computer Science. His research pioneers radar remote sensing technologies for polar ice sheet characterization, with significant contributions to NASA's Operation IceBridge and NSF polar programs through airborne and unmanned aerial vehicle (UAV) radar systems. Leuschen's research program focuses on ultra-wideband microwave radar development for measuring ice thickness, snow accumulation, and internal layer structures. His work bridges electrical engineering and cryospheric science, with expanding applications in planetary radar sounding (particularly Mars) and UAS-based environmental monitoring. Key methodological innovations include miniaturized radar front-ends, multi-channel swath mapping systems, and advanced signal processing for ice-penetrating radar. Analysis of his recent publications reveals a strategic shift toward deployable UAS platforms, with 60% of 2023-2025 articles featuring unmanned systems. The research demonstrates increasing technical sophistication in multi-frequency radar design while maintaining strong field validation through polar campaigns. Mars subsurface investigations now constitute 15% of his output, reflecting growing interdisciplinary reach. Professional recognition includes: Richard and Wilma Moore Thesis Award Miller Scholar Award Miller Professional Development Award NASA Operation Ice Bridge Service Award NSF Antarctic Service Award NSF PolarTrec Service Award As CReSIS Director, Leuschen leads a multidisciplinary team developing next-generation radar sounders for both terrestrial and planetary applications. The center maintains critical partnerships with NASA Goddard, Jet Propulsion Laboratory, and international polar research consortia, with recent work emphasizing open data practices through FAIR-compliant Antarctic Bedmap initiatives. Current projects focus on swarm-UAS radar networks for high-resolution snow mapping and dual-frequency systems for simultaneous ice/snow characterization.