Energy Intensity Professors and Supervisors | ApplySharif

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Anthony CaterisanoView profile

Professor

Furman UniversityUnited States

Anthony Caterisano is a Professor of Health Sciences at Furman University, with over 35 years of academic and athletic leadership. He holds a Ph.D., M.A., and B.S. from The University of Connecticut, SUNY, and UNC Chapel Hill. His research focuses on exercise physiology, resistance training, and sports medicine, with notable publications in journals like Medicine and Science in Sports and Exercise . Dr. Caterisano is a Fellow of the American College of Sports Medicine (FACSM) and has authored/co-authored books on football training and resistance techniques. He has served as wrestling coach at Furman, Spartanburg Methodist College, and currently coaches at Wade Hampton High School. As a competitive powerlifter, he has secured 16 South Carolina state titles, 10 national titles, and 10 world gold medals in masters-level competitions. His work bridges scientific research and practical application, with grants and presentations on topics like strength training methodologies and cardiovascular adaptations. Key contributions include studies on Tsunami Barbell training, metabolic responses to exercise, and core muscle engagement. His awards reflect both academic excellence and athletic achievement, while his grants and presentations underscore his commitment to advancing sports science.

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Mark FosterView profile

Associate Professor

Johns Hopkins UniversityUnited States

Mark Foster is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, with a primary appointment in the Whiting School of Engineering. He is also a Fellow of the Hopkins Extreme Materials Institute. His research focuses on developing ultrahigh-speed optical systems at the intersection of photonics and electronics, emphasizing photonic devices and information theory to advance imaging, sensing, and communications technologies. Applications include quantum-optical systems, ultrawide-bandwidth microwave photonics, and terahertz-rate imaging systems. Dr. Foster received his BS (2003), MS (2007), and PhD (2008) in Applied and Engineering Physics from Cornell University. Before joining Johns Hopkins in 2010, he served as a postdoctoral associate there. His work has been funded by the NSF, IARPA, DTRA, and NIH, resulting in over 200 publications and eight patents. He has held leadership roles, including chairing the IEEE Photonics Society’s Baltimore chapter (2011–2014). Research Highlights: World-leading imaging systems achieving terahertz frame rates Quantum-optical platforms and nonlinear photonic materials (e.g., NbTiOx) Secure authentication via physically unclonable functions (PUFs) Applications in fusion energy diagnostics and medical imaging His awards include the NSF CAREER Award (201?), DARPA Young Faculty Award, and ONR Young Investigator Award. Current projects explore machine learning-resistant PUFs, multi-modal imaging systems, and photonics for extreme environments.

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Kohsaku TobiokaView profile

Associate Professor

Florida State UniversityUnited States

Kohsaku Tobioka is an Associate Professor in the Department of Physics at Florida State University. He joined the faculty in 2018 after postdoctoral appointments at Stony Brook University (2017-2018), High Energy Accelerator Research Organization (KEK) in Japan (2014), and a joint position at Tel Aviv University and Weizmann Institute of Science in Israel (2014-2017). Education: Ph.D. in Physics from the University of Tokyo (2014) His research focuses on theoretical particle physics, particularly exploring physics beyond the Standard Model through phenomena like supersymmetry, extra dimensions, dark matter, and axions. He integrates cosmology and astroparticle physics with experimental approaches at high-intensity facilities such as B/K meson factories. Scientific Recognition: JSPS Research Fellow for Young Scientists (2014-2016) Tobioka actively engages in outreach through programs like Saturday Morning Physics at Florida State University and is open to speaking engagements at local schools.

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Catherine H. HausmanView profile

Associate Professor

University of Michigan-Ann ArborUnited States

Catherine H. Hausman is an Associate Professor at the Gerald R. Ford School of Public Policy, University of Michigan, and a Research Associate at the National Bureau of Economic Research (NBER). Her work bridges environmental economics, energy policy, and climate change mitigation. BA in Economics from University of Minnesota PhD in Agricultural and Resource Economics from University of California, Berkeley (2013) Her research explores: Electricity transmission barriers and corporate profit alignment Methane emissions and carbon intensity in fossil fuel production Climate change impacts on grid reliability and pricing Pollution inequality and nuclear power economics Recent publications examine decarbonization strategies, ancillary service market spillovers, and methane leak quantification. She has received a Fulbright grant for pre-graduate work in Peru and contributes policy insights through the Hamilton Project and NBER working papers.

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Farhad Rachidi-HaeriView profile

Professor

Swiss Federal Institute of Technology in LausanneSwitzerland

Farhad Rachidi-Haeri is a Titular Professor and Head of the Electromagnetic Compatibility (EMC) Group at EPFL. His expertise spans EMC research, lightning electromagnetics, time reversal techniques, and fault location in power systems. He has led the EMC Group since the 1980s, with funding from the Swiss National Science Foundation, European Union, and private sector collaborations. His work involves international partnerships with institutions like the University of Toronto and KTH. Education: PhD in Electrical Engineering from EPFL (1991), M.S. from EPFL (1986). Roles: President of Swiss National Committee of URSI (2012–2020), Editor-in-Chief of IEEE Transactions on EMC (2013–2015), and member of the Academy of Sciences of Bologna Institute (2019). Research Focus: Lightning interaction with infrastructure, electromagnetic field modeling, time reversal applications for fault detection, and high-frequency transient analysis. His work bridges theoretical physics and engineering, addressing challenges in power systems, lightning protection, and aerospace. Awards: IEEE EMC Technical Achievement Award (2005), Berger Award (2016), and Distinguished Honorary Professor at Tsinghua University (2024). Over 400 peer-reviewed papers and 500 conference contributions reflect his prolific research output. Labs/Teams: Leads the EMC Laboratory at EPFL, focusing on experimental and numerical studies of electromagnetic phenomena. Collaborates with global networks on projects like Laser Lightning Control and structural lightning protection for wind turbines.

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Zhonghai LuView profile

Professor

KTH Royal Institute of TechnologySweden

Zhonghai Lu is a Professor of Electronic Systems Design (specializing in Dependable and Autonomous Systems) at KTH Royal Institute of Technology, part of the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science (EECS). He serves as Program Director for KTH's Embedded Systems master's program and Director of Studies at the Division of Electronics and Embedded Systems. His research focuses on Network-on-Chip (NoC), computer architecture, embedded systems, and Prognostics and Health Management (PHM) of power electronics. He leads a research group exploring in-network processing and embedded intelligence, transforming passive networks into active computational frameworks. Lu holds a BSc from Beijing Normal University (1989), MSc and PhD from KTH (2002, 2007), and an MBA in Innovation and Growth from the University of Turku (2012). He has authored over 240 scientific papers, including journal articles and peer-reviewed conferences, with notable recognitions such as Best Paper Awards at NOCS’2015 and EU HiPEAC, and a Featured Paper in IEEE Transactions on Computers (2020). He serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and has chaired major conferences like HiPEAC’2017 and NOCS’2018. His research group’s recent work includes integrating AI into hardware acceleration, fault-tolerant neural networks, and RUL estimation for power electronics using recurrent neural networks. Lu has secured grants from the Swedish Research Council and Intel Corporation and developed courses like IL2230 (Hardware Architectures for Deep Learning) and IL2233 (Embedded Intelligence), pioneering embedded AI education at KTH. Education: BSc (Beijing Normal University), MSc/PhD (KTH), MBA (University of Turku) Awards: Best Paper Awards (NOCS, EU HiPEAC), Swedish Research Council Grants, Intel Research Gifts Labs/Teams: Research Group on In-Network Processing and Embedded Intelligence

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Tetsu HaraView profile

Professor

University of Rhode IslandUnited States

Dr. Tetsu Hara is a Professor at the University of Rhode Island's Graduate School of Oceanography (URI GSO), specializing in Physical Oceanography. With a lifelong fascination for ocean surface waves, his research bridges civil engineering principles with ocean dynamics to study air-sea interactions under extreme conditions like hurricanes. Ph.D., Civil Engineering, Massachusetts Institute of Technology, 1990 M.S., Civil Engineering, University of Tokyo, 1986 B.S., Civil Engineering, University of Tokyo, 1983 Dr. Hara's work focuses on ocean turbulence, wave dynamics, and their role in air-sea energy exchange. He investigates how surface waves influence hurricane intensity predictions, climate modeling, and coastal processes through numerical simulations and field observations. His research emphasizes the importance of sea state (wave height, wind-wave alignment) in determining heat fluxes, drag coefficients, and gas exchange rates critical for climate science. His publications reveal trends in tropical cyclone modeling, Langmuir turbulence, and wave-current interactions. By combining satellite data with computational models, he explores discrepancies between wind strength and wave behavior, advancing understanding of ocean mixing mechanisms that impact climate change predictions. Dr. Hara has received continuous National Science Foundation grants since 2003, including collaborative projects on hurricane modeling (2018-2020), wind-wave turbulence (2015-2020), and storm surge impacts (2016-present). He previously secured funding from the Office of Naval Research (2009-2012) and U.S. Department of Homeland Security (2016). Mentored 15+ graduate students in hurricane dynamics, wave modeling, and air-sea interaction Co-developed advanced courses on geophysical fluid dynamics and tropical cyclone modeling Collaborates closely with Dr. Isaac Ginis (URI GSO) and Dr. Tobias Kukulka (University of Delaware)

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Xiaojing (Ruby) FuView profile

Assistant Professor

California Institute of Technology (Caltech)United States

Xiaojing (Ruby) Fu is an Assistant Professor of Mechanical and Civil Engineering at the California Institute of Technology and a William H. Hurt Scholar (2024-present). Her research focuses on multiphase fluid mechanics in porous media, integrating theory, computation, experiments, and field observations to address geoscience and engineering challenges. Her educational background includes: B.S. in Engineering from Clarkson University (2011) M.S. from Massachusetts Institute of Technology (2015) Ph.D. from Massachusetts Institute of Technology (2017) Professor Fu's research centers on cryosphere hydrology, subsurface engineering, and phase transitions in porous media. She investigates multiphase flow dynamics in contexts like permafrost thaw, snow metamorphism, and carbon sequestration using phase-field modeling and experimental techniques. Her work bridges fundamental physics with applications in environmental resilience and energy systems, emphasizing predictive capabilities for large-scale phenomena through simplified multiscale theories. Analysis of her 15 most recent publications reveals intense focus on cryosphere processes (snow, permafrost) using advanced phase-field modeling and fiber-optic sensing. Key trends include freezing infiltration patterns, meltwater transport in layered snow, and seismic monitoring of soil moisture. Her work increasingly integrates field validation with computational models for environmental applications like drought monitoring and carbon sequestration. Her scientific recognition includes: William H. Hurt Scholar (2024) Professor Fu actively mentors graduate students, as evidenced by qualified students in her research group. She teaches core courses including Thermal Science (ME 11 abc) and Computational Methods for Flow in Porous Media (ME/CE/Ge/ESE 146), training students in both theoretical foundations and applied techniques for subsurface flow problems. She leads the Fu Research Group on Mechanics and Physics of Porous Media Flow, which develops multiscale theories to predict large-scale environmental and energy system behaviors. The group combines mathematical modeling, laboratory experiments, and field observations to address problems in geologic carbon storage, cryosphere dynamics, and subsurface resource management, with recent emphasis on climate change impacts and monitoring technologies.

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Greg KeoleianView profile

Professor

University of Michigan-Ann ArborUnited States

Greg Keoleian is the Peter M. Wege Endowed Professor of Sustainable Systems at the University of Michigan. He co-founded and directs the Center for Sustainable Systems and co-leads the MI Hydrogen initiative. His research focuses on advancing life cycle assessment (LCA) methodologies to evaluate the sustainability of technologies, products, and systems. Key areas include renewable energy systems (e.g., wind, solar, bioenergy), transportation decarbonization, circular economy frameworks, and food/agricultural systems. He teaches interdisciplinary graduate courses on Sustainable Energy Systems and Industrial Ecology, and co-directs the Engineering Sustainable Systems Dual Degree Program and the Rackham Graduate Certificate Program in Industry Ecology. Research interests emphasize integrating environmental, economic, and social metrics into sustainability assessments. Notable contributions include pioneering LCA models for hydrogen energy systems, vehicle lifecycle optimization, and circular economy pathways for automotive materials. His work spans global and regional scales, addressing challenges such as reducing greenhouse gas emissions, optimizing resource efficiency, and promoting sustainable urban infrastructure. Keoleian’s recent work highlights synergies between emerging technologies (e.g., wireless charging, autonomous vehicles) and sustainability goals. He collaborates with policymakers and industry leaders to translate research into actionable strategies for deep decarbonization and circular economy adoption. Initiatives like the State of Michigan Hydrogen Roadmap exemplify his focus on bridging academic research with practical implementation. His interdisciplinary approach ensures comprehensive analysis of energy systems, industrial processes, and consumer behaviors. Keoleian’s teaching and mentorship emphasize systems thinking and cross-sector collaboration. He has shaped curricula that prepare students for leadership roles in sustainable systems design, policy development, and corporate sustainability management. Ongoing projects include optimizing reusable packaging systems, evaluating food waste impacts, and modeling urban energy justice in electric vehicle deployment.

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Oana BalmauView profile

Assistant Professor

University of TorontoCanada

Oana Balmau is an Assistant Professor in the School of Computer Science at McGill University, where she leads the Data-Intensive Storage and Computer Systems Laboratory (DISCS Lab). She also holds a status-only appointment at the University of Toronto and serves as a working group chair for MLPerf Storage. Her research focuses on creating storage infrastructure that enables fast and energy-conscious insights from data, with particular emphasis on storage and persistent memory technologies for machine learning, data science, and edge computing workloads. Dr. Balmau's research interests span computer systems, with specific focus on: Design and implementation of efficient key-value stores Storage systems for machine learning workloads Edge computing infrastructure Persistent memory technologies Performance optimization of data-intensive systems Her recent work has led to significant contributions in storage benchmarking through the MLPerf Storage benchmark and in edge computing frameworks. The MLPerf Storage benchmark has become an industry standard for evaluating storage performance in machine learning environments, while her work on hierarchical edge computing addresses security and performance challenges in distributed edge environments. Her publications show consistent high-impact contributions to top systems venues, with recent work focusing on processing-in-memory virtualization, stream processing reconfiguration, and efficient data preprocessing pipelines. Dr. Balmau has received numerous awards for her research, including: SEC 2024 Best Paper Award for "Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge" MLCommons Hero Award 2023 for leadership as MLPerf Storage working group chair ACM SIGOPS Dennis M. Ritchie Doctoral Dissertation Award 2021 Honorable Mention CORE John Makepeace Bennett Award 2021 for the best Computer Science doctoral dissertation in Australia and New Zealand USENIX ATC 2019 Best Paper Award for "SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores" As an educator, Dr. Balmau teaches courses on advanced computer systems, operating systems, and principles of computer systems design at McGill University. She has served on program committees for top systems conferences including SOSP, SIGMOD, FAST, and EuroSys, and has co-organized workshops on resource-efficient machine learning and edge computing. She leads the DISCS Lab, which focuses on two main research directions: Systems for ML (including the MLPerf Storage benchmark) and Edge computing (including frameworks for fast and secure edge computing in hierarchical edge environments).

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William F. SchneiderView profile

Professor

University of Notre DameUnited States

William F. Schneider is the Keating-Crawford Professor of Chemical Engineering and Chair of the Department of Chemical and Biomolecular Engineering at the University of Notre Dame's College of Engineering. He also holds a concurrent professorship in the Department of Chemistry and Biochemistry. Dr. Schneider leads the Computational Environmental Catalysis research group focused on applying density functional theory (DFT) simulations to solve problems in energy and the environment. Dr. Schneider's educational background includes a Ph.D. in Chemistry from Ohio State University (1991) and a B.S. in Chemistry from the University of Michigan-Dearborn (1986). Before joining Notre Dame in 2004 as an Associate Professor, he worked at the Ford Motor Company Research Laboratory where he developed expertise in catalytic chemistry related to automobile emissions control. Dr. Schneider's research focuses on molecular-scale understanding of heterogeneous catalysis, with particular emphasis on energy-related applications. His group uses computationally intensive molecular simulations to understand and predict chemical properties and reactivity from first principles. Key research areas include: Zeolites for NOx reduction Catalysis at metal surfaces Catalysis for shale gas conversion Energy-directed catalysis Carbon capture and conversion Sustainable bio/fossil fuels His recent publications demonstrate a strong focus on computational approaches to understanding catalytic mechanisms, particularly in zeolite systems for environmental applications and energy conversion processes. The research often combines density functional theory with microkinetic modeling to provide molecular-level insights into catalytic processes. Dr. Schneider has received numerous honors including: Dorini Family Chair of Energy Studies Keating-Crawford Professor of Chemical Engineering Fellow of the American Association for the Advancement of Science James A. Burns, C.S.C., Award for outstanding mentorship of doctoral students Executive Editor of the Journal of Physical Chemistry C As an advisor, Dr. Schneider mentors numerous graduate students and postdocs in the Computational Molecular Sciences and Engineering Laboratory (CoMSEL). His research group collaborates closely with experimentalists to validate computational findings and accelerate their application. Current projects include investigations into plasma-catalytic processes, copper-zeolite systems for methane oxidation, and computational screening of catalysts for various energy applications. Dr. Schneider's research is supported by various grants focusing on energy conversion, environmental catalysis, and computational materials design. He leads the Computational Environmental Catalysis group which is part of the broader CoMSEL research community at Notre Dame.

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Adrian MüllerView profile

Researcher

University of BernSwitzerland

Dr. Adrian Müller is a Researcher at the University of Bern's Tourism Research Unit (CRED-T) within the Center for Regional Economic Development (CRED). His work focuses on sustainable aviation, decarbonization of business travel, and the intersection of climate strategies with organizational practices. He holds a scientific role in advancing research on travel behavior, policy implications, and alternative modes of transportation. Research interests include sustainable aviation fuel adoption, post-pandemic travel trends, and the misalignment between corporate climate goals and actual travel practices. His studies explore behavioral economics aspects of travel decisions, including social norms in rail business travel and decision-making autonomy among travelers. Key articles highlight themes like decarbonization challenges in knowledge-intensive industries, preferences for sustainable aviation fuels, and the shift toward video conferencing post-COVID-19. Müller’s research often bridges environmental science, transportation economics, and policy analysis, emphasizing actionable solutions for reducing aviation’s ecological footprint. He is affiliated with the Economic Institute at the University of Bern and contributes to initiatives like the Oeschger Center for Climate Change Research. No scientific awards are explicitly listed, but his work reflects engagement with cutting-edge climate and travel research.

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Yayun DuView profile

Assistant Professor

Vanderbilt UniversityUnited States

Dr. Yayun Du is an Assistant Professor in the Department of Electrical and Computer Engineering at Vanderbilt University School of Engineering. She holds a Ph.D. in Robotics and System Control (Minor: Solid Mechanics) from UCLA (2022) and was a postdoctoral scholar at Northwestern University's Rogers Group through 2024. Current faculty at Vanderbilt University Ph.D. from University of California, Los Angeles Postdoctoral experience at Northwestern University Her research integrates bioelectronics and robotics through three core directions: 1) Developing multimodal wearable/implantable sensors for health monitoring, 2) Creating human-in-the-loop interaction systems using brain-computer interfaces, and 3) Applying machine learning to medical environment robotics. She has deployed four sensor types across seven hospitals globally, serving users from neonates to elderly patients. Dr. Du's recent publications focus on wireless bioelectronic devices ( PNAS ), sustainable sensor materials ( ACS Sustainable Chemistry & Engineering ), and agricultural robotics ( ICRA , IROS ). She serves as Associate Editor for ICRA 2025 and has received two Best Paper Award final nominations at IROS 2021. Finalist - Best Paper Award in Agri-Robotics (IROS 2021) Finalist - Best Paper Award in Robot Mechanisms and Design (IROS 2021) As head of the Du Group, she leads interdisciplinary research with applications in both healthcare and agricultural contexts, collaborating with Vanderbilt Institute for Surgery and Engineering (VISE) and clinical partners. Her work emphasizes deployable systems that transition from academic research to real-world implementation in medical and industrial environments.

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André RubbiaView profile

Professor

ETH ZurichSwitzerland

Prof. Dr. André Rubbia is a Full Professor of Experimental Physics at ETH Zurich's Department of Physics, holding this position since December 2003 after serving as Associate Professor from 1998. His research spans neutrino physics, astro-particle physics, and dark matter detection through major international collaborations including CERN, Gran Sasso National Laboratory, and Fermilab. He currently serves as Co-Spokesperson for the billion-dollar DUNE neutrino project at Fermilab, managing over 900 scientists. His educational background includes: Diploma in Physics from the University of Geneva (1990), with thesis work on the L3 experiment at CERN's LEP accelerator Ph.D. in Physics from MIT (1993) under Nobel Laureate S.C.C. Ting, focusing on high-energy electron-positron collisions Rubbia's research centers on fundamental particle interactions, particularly neutrino oscillations and physics beyond the Standard Model. He pioneered liquid Argon Time Projection Chamber (LAr TPC) technology and dual-phase detection systems, enabling breakthroughs in neutrino mass measurements and dark matter searches. His work spans underground laboratories (Gran Sasso, Canfranc), the LHC's CMS detector, and neutrino beam experiments like T2K. Recent explorations include antimatter gravity tests, electron-positron bound states, and dark hidden sector searches. His 2025 publications reveal intense focus on neutrino oscillation parameter precision (T2K, Hyper-Kamiokande), FASER's LHC neutrino program, and DarkSide-20k dark matter detector development. Key themes include cross-section measurements, advanced detector technologies (SiPMs, emulsion tracking), and statistical methods for oscillation analysis, reflecting integration of theoretical modeling with cutting-edge instrumentation. Scientific recognition includes: Breakthrough Prize for Fundamental Physics (2016) awarded to the international team for discovering matter-anti-matter asymmetry in neutrino oscillations APS Viewpoint selection for editing the paper announcing first electron neutrino appearance at accelerators Rubbia has supervised over fifty PhD and Master's theses while securing substantial research funding as Principal Investigator for 20+ Swiss National Science Foundation projects and Coordinator of two EU FP7 Design Studies. His DUNE leadership involves complex international grant management across 30+ countries. He leads ETH Zurich's experimental particle physics group across multiple facilities: the ICARUS neutrino detector at Gran Sasso, CMS at CERN, DUNE at Fermilab, and DarkSide-20k for direct dark matter detection. His team developed the first underground ton-scale liquid argon detector and maintains collaborations with Japanese (Super-Kamiokande) and American (Fermilab) institutions.

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Yang LiuView profile

Associate Professor

Linköping UniversitySweden

Yang Liu is a tenured Associate Professor at the Department of Management and Engineering , Linköping University, Sweden, and an Adjunct Professor at the University of Oulu, Finland. His expertise spans smart manufacturing, clean energy transition, and Industry 4.0 applications. He holds an M.Sc. and D.Sc. from the University of Vaasa, Finland. Research & Awards: Liu's work focuses on sustainable systems, decision support systems, and AI-driven energy efficiency. He has authored over 140 Web of Science publications, including top 0.1% ESI Hot Papers. He is ranked among the world's top 2% scientists (Stanford-Elsevier) and leads globally in 'big data analytics in manufacturing' and 'Industry 4.0-driven circular economy' research. Leadership & Projects: He leads projects like FlexSUS (EU Horizon 2020) and PERSEUS, developing tools for smart urban energy planning and 15-minute city models. He serves as Editor-in-Chief of Cleaner Engineering and Technology and Guest Editor for multiple journals. His research emphasizes bridging data science with sustainability challenges in manufacturing and energy systems. Key Achievements: Top-ranked in global citations, ESI Highly Cited Papers, and industry-driven sustainability frameworks. Grants: Leads EU-funded projects and collaborates with Siemens Energy on energy transition solutions. Labs & Teams: Part of the Environmental Technology and Management (MILJÖ) division and Unit for Product Service Innovation (MILJOPSI) at Linköping.

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