جستجوی استاد راهنمای دانشگاهی

• Power Systems
• Renewable Energy
• Power Electronics
• +۴ مورد دیگر

YuAnn Li is an Assistant Professor in the Department of Electrical Engineering at the University of Pittsburgh, affiliated with the Swanson School of Engineering. Previously, she held academic positions at FAMU–FSU College of Engineering (2019–2024) and Sichuan University (2009–2018). She earned her B.S., M.S., and Ph.D. in Electrical Engineering from Wuhan University in 2003, 2006, and 2009, respectively. Her research focuses on power systems, renewable energy integration, power electronics, and grid modernization. Notable contributions include advancements in inverter technology, hybrid circuit breakers, and grid stability solutions. Her work bridges theoretical power analysis (e.g., spacetime pq theory) with practical applications like solar forecasting and fault current management. Publications span key journals such as IEEE Transactions on Power Electronics and IEEE Journal of Emerging Topics in Power Electronics. Her research emphasizes grid resilience through energy storage systems and smart grid innovations. No scientific awards are explicitly mentioned. Her advising and grants sections remain unspecified in available texts. She is active in lab and team collaborations within power systems and energy electronics domains.

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +۶ مورد دیگر

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

• Lithium-ion Battery Technologies
• Redox Flow Batteries
• Bioenergy
• +۵ مورد دیگر

Dr. Jacob Joseph Lamb is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering within the Faculty of Engineering. He serves as the Study Program Manager for the Bachelor of Engineering in Renewable Energy (BIFOREN) and leads the Digital Energy Systems laboratory group. His roles include WP8 leadership in the FME Battery initiative and Theme Leader for Efficient Energy Use at ENERSENSE. Education: PhD in Energy and Process Engineering, NTNU (2013–2016) MSc in Chemical Engineering, University of Otago, New Zealand (2011–2012) BSc in Chemical Engineering, University of Otago, New Zealand (2008–2010) Research Interests: Dr. Lamb focuses on sustainable energy systems, particularly lithium-ion battery technologies , redox flow batteries , bioenergy , and digitization of energy systems . He explores sensor technologies for real-time monitoring and optimization of energy storage devices. His work integrates machine learning with physics-based models to enhance battery performance and reliability. Key Projects: FME Battery: Norwegian research initiative for advanced battery technologies ReZinc: Zinc-air flow battery development for stationary storage HeaLiSelf: Self-healing lithium-ion batteries using optical sensing and data analytics Computational studies on pre-lithiation processes and cold-climate battery performance Publications: His recent work emphasizes lithium-ion battery digitalization , SoC estimation , and electrode structuring . He bridges experimental and computational methods to address challenges in energy storage scalability and safety. Affiliations: ENERSENSE (Efficient Energy Use Theme) NTNU Thermal Engineering Laboratories

Peter Druschelمشاهده پروفایل

استاد

• Distributed Systems
• Operating Systems
• Peer-to-Peer Systems
• +۷ مورد دیگر

Peter Druschel is the founding director of the Max Planck Institute for Software Systems (MPI-SWS) and leads the Distributed Systems Group. He holds adjunct professorships at Saarland University and the University of Maryland, reflecting his strong academic affiliations in computer science. He has previously served as a Professor of Computer Science at Rice University and has held visiting positions at MIT, Microsoft Research Cambridge, and LIP6. Education: Ph.D. in Computer Science, University of Arizona, 1994 His research centers on building secure, compliant, and privacy-preserving distributed and mobile systems. Key interests include accountable systems, peer-to-peer networks, operating systems, and network security. He has led foundational work in systems like Pastry, Scribe, and Glacier, and currently focuses on privacy compliance in data processing through projects like Thoth and iPic. His work is supported by major grants from the ERC, Max Planck Society, DFG, BMBF, and Google. The recent publications highlight a consistent trend in secure and privacy-aware systems, with a focus on policy enforcement, isolation mechanisms, anonymity, and mobile security. These works span top venues such as USENIX Security, OSDI, MobiSys, and SIGCOMM, reflecting sustained impact in systems and security communities. Scientific Awards: NSF CAREER Award (1995) Alfred P. Sloan Fellowship (2000) SIGOPS Mark Weiser Award (2008) Microsoft Research Outstanding Collaborator Award (2016) EuroSys Lifetime Achievement Award (2017) Druschel has advised numerous PhD and master’s students and postdoctoral researchers at MPI-SWS. He has co-directed major collaborative programs including the Cornell-Maryland-Max Planck Pre-doctoral School and the Maryland Max Planck Ph.D. Program. His leadership extends to professional service, having chaired SOSP, OSDI, NSDI, and EuroSys, and served on editorial boards of CACM, TOCS, and Royal Society Open Science. He is a member of Academia Europaea and the German Academy of Sciences Leopoldina. Labs and Teams: Distributed Systems Group, MPI-SWS imPACT ERC Synergy Project Collaborators include Bobby Bhattacharjee, Deepak Garg, Miguel Castro, Ion Stoica, and others

• Flexible and Stretchable Electronics
• Wearable Biosensors
• Antennas
• +۴ مورد دیگر

Dr. Shanmuga Sundar Dhanabalan is an Adjunct Senior Fellow in the School of Engineering at RMIT University, specializing in flexible/stretchable electronics, wearable biosensors, and photonics. His research focuses on smart medical devices like Smart Mattresses for aged care and Smart Eye Patches for chronic eye disease management. He collaborates extensively with industry and holds roles in research supervision and curriculum development. **Affiliations**: Functional Materials and Microsystems Research Group, RMIT University (Melbourne, Australia). **Research Interests**: Wearable sensors, optical communications, photonics, antennas, and sustainable nanomaterials. His work bridges materials science with healthcare technologies, emphasizing practical industry applications. **Awards**: Fondecyt Postdoctoral Fellowship (2018), TEQIP Doctoral Scholarship (2013), and fellowships with the Optical Society of India and Computer Science Teacher Association. **Supervision & Grants**: Active in mentoring postgraduate research projects (e.g., smart sensors, bioelectronic devices). His publications span over 60 peer-reviewed articles in journals like Optical and Quantum Electronics and Renewable and Sustainable Energy Reviews . **Labs/Teams**: Engaged in cross-disciplinary teams developing wearable health monitoring technologies and sustainable materials for electronics.

Irwin Donis-Gonzalezمشاهده پروفایل

دانشیار

• Postharvest Engineering
• Agricultural Commodity Processing
• Food Quality and Safety
• +۳ مورد دیگر

Irwin Donis-Gonzalez is an Associate Professor in the Department of Biological and Agricultural Engineering at the UC Davis College of Engineering. His research focuses on postharvest engineering, aiming to reduce energy consumption while maintaining food quality and safety in agricultural commodities. Key areas include storage, drying, traceability, and processing of fruits, vegetables, tree nuts, and rice. He is affiliated with Cooperative Extension, emphasizing applied research for industry impact. Education & Academic Roles Ph.D. in Biological and Agricultural Engineering Research Interests Non-invasive assessment techniques (e.g., X-ray CT, hyperspectral imaging) Energy-efficient drying systems (e.g., desiccant-based technologies) Food safety and quality preservation during storage and transport Optimization of postharvest processes for high-value crops His publications highlight advancements in chestnut decay detection, almond drying systems, and coffee quality assessment. He collaborates on sensor development for real-time monitoring in agriculture. Grants and industry partnerships drive his work on sustainable postharvest solutions. Labs/Teams Involved in UC Davis’s Cooperative Extension programs, focusing on translational research for California’s agricultural sector.

Yongmei M. Jinمشاهده پروفایل

استاد

• Microstructure Evolution
• Solid State Phase Transformations
• Magnetic Domains
• +۳ مورد دیگر

Yongmei M. Jin is a Professor in the Department of Materials Science and Engineering at Michigan Technological University (MTU), affiliated with the College of Engineering. She holds a PhD in Materials Science and Engineering from Rutgers University. Her research focuses on microstructure evolution in crystalline solids, solid-state phase transformations, magnetic domains, computational materials science, and single crystal diffraction techniques. Notable work includes studies on magnetic domain boundary dynamics in Fe-Ga alloys, electric field control of magnetism at material interfaces, and phase field modeling of microstructural evolution. Selected publications demonstrate expertise in modeling material behavior under external stimuli (e.g., electric fields, currents) and analyzing microstructural changes at atomic and macroscopic scales. Teaching responsibilities include courses on materials processing, mechanical behavior of materials, and transmission electron microscopy.

• Sustainable Power Systems
• Smart Grids
• Energy Physics
• +۴ مورد دیگر

Heidi Samuelsen Nygård is an Associate Professor in Energy Physics at the Department of Physics, Faculty of Natural Sciences and Technology, Norwegian University of Science and Technology (NTNU). She holds a PhD (2014) from the Norwegian University of Life Sciences (NMBU) on thermochemical biomass conversion in molten salts and has conducted postdoctoral research on CO2 capture in molten salts. Her research focuses on: Sustainable power systems and renewable energy integration Smart grids and power flexibility Molten salt technology for CO2 capture and energy applications Convection dynamics in porous media Recent publications highlight advancements in: Electric vehicle grid integration and demand flexibility Battery energy storage optimization Molten salt-based carbon capture systems Renewable energy forecasting algorithms She supervises master’s and PhD students in topics spanning grid frequency prediction, EV scheduling, thermal energy storage, and molten salt chemical processes.

Cevdet Aykanatمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing
• Graph and Hypergraph Partitioning
• +۴ مورد دیگر

Prof. Cevdet Aykanat is a Professor of Computer Engineering at Bilkent University, Ankara, Turkey. He earned his BS/MS in Electrical Engineering from METU and PhD from Ohio State University as a Fulbright scholar. His research focuses on parallel computing, sparse matrix algorithms, graph partitioning, and high-performance computing for big data. He has been affiliated with Bilkent since 1989 and has held roles like Associate Provost. Education: BSc/MSc (METU Electrical Engineering), PhD (Ohio State University Electrical & Computer Engineering). Research interests include parallel scientific computing, combinatorial optimization, distributed systems, and large-scale data analysis. His work spans over 100 publications in top journals like IEEE Transactions and SIAM, with 5,500 citations and an H-index of 40. Awards: 1996 TUBITAK Investigator Award, 2007 METU Parlar Science Award. He led 6 TUBITAK projects and participated in EU-funded projects like PRACE-1IP to PRACE-6IP. Publications emphasize efficient parallel algorithms for sparse computations, graph partitioning, and distributed systems. His work addresses latency reduction, load balancing, and scalable data processing in HPC environments. Grants: Funded by TUBITAK, Intel SSD, and EU programs. Academic service includes editorial roles at IEEE Transactions on Parallel and Distributed Systems.

Wenbo Duanمشاهده پروفایل

مدرس ارشد

• Ultrasonic Non-Destructive Testing
• Guided Wave Defect Detection
• Finite/Spectral Element Modeling
• +۶ مورد دیگر

Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.

Tianqi Hongمشاهده پروفایل

استادیار

• Power Systems
• Power Electronics
• Renewable Energy Integration
• +۴ مورد دیگر

Dr. Tianqi Hong is an Assistant Professor at the University of Georgia, affiliated with the School of Electrical & Computer Engineering and the Department of Electrical and Computer Engineering. He holds a B.Sc. from Hohai University (2011), an M.Sc. from Southeast University and NYU (201?), and a Ph.D. from NYU (2016). Prior to his academic role, he served as a Principal Energy System Scientist at Argonne National Laboratory and a Senior Research Scientist at Unique Technical Services, LLC. His research focuses on power systems, power electronics, renewable energy integration, and AI-driven solutions for smart grids. Dr. Hong’s work emphasizes cybersecurity for power infrastructure, nonlinear dynamics in microgrids, and advanced control strategies. He actively contributes to IEEE Transactions across multiple journals and chairs the IEEE IAS Industrial Power Converters Committee. His recent publications address topics like AI-based photovoltaic inverter modeling, cyberattack mitigation in smart grids, and voltage regulation using distributed optimization. He has authored over 60 peer-reviewed articles, spanning from 2014 to 2025, with a focus on energy system stability, renewable integration challenges, and data-driven methodologies. His professional service includes editorial roles in top-tier journals and leadership in industry-research collaborations.

Michael L. Austinمشاهده پروفایل

مدرس ارشد

• Sound and music in interactive media
• Ludomusicology
• Sound studies
• +۷ مورد دیگر

Dr. Michael L. Austin is a Senior Lecturer in Music and Sound at Edge Hill University, serving as Programme Leader in Music Production since January 2023. He previously held academic roles at Louisiana Tech University, Howard University, and others. His research focuses on sound and music in interactive media, including video games, social media, and smart devices. He is Executive Director of the Society for the Study of Sound and Music in Games and a Research Associate at the Library of Congress's Radio Preservation Task Force. Education: PhD in Humanities (Aesthetic Studies) from the University of Texas at Dallas (2011), MA in Music Theory from UT Austin (2007), and BA in Music Composition from UT San Antonio (2005). Research interests include ludomusicology, cultural representation in media, sound design for UX, and algorithmic bias in emerging technologies. His 2024 monograph Audiovisual Alterity explores identity representation in music videos, while earlier works like Music Video Games: Performance, Politics, and Play (2016) analyze music's role in digital games. Publications span video game music analysis, algorithmic bias, and sound art. His talks include topics like 'Sounding Drag Identities in Video Games' and 'Algorithmic Bias in Emerging Media.' As a sound artist, his work has been exhibited at the Smithsonian and Dallas Museum of Art.

Andrea Araldoمشاهده پروفایل

دانشیار

• Transportation Systems
• Edge Computing
• Reinforcement Learning
• +۳ مورد دیگر

Andrea Araldo is an Associate Professor at Telecom SudParis within the SAMOVAR research lab, specializing in NeSS (Networks, Systems, and Services). His work focuses on optimizing transportation systems, edge computing, and network resource allocation using advanced techniques like reinforcement learning and game theory. He has published extensively on topics including demand-responsive transit, vehicular cloud computing, and multi-tenant edge resource management. His research addresses challenges in urban mobility equity, infrastructure resilience, and energy-efficient network design. Research Interests: Transportation systems optimization Edge computing architectures Reinforcement learning applications Network resource allocation Urban accessibility equity Autonomous mobility systems Recent Trends in Publications: Recent work emphasizes adaptive transport network design during disruptions, equity-driven public transit planning, and vehicular cloud alternatives to traditional edge computing. He explores hybrid optimization methods combining reinforcement learning with classical algorithms for virtual network embedding and resource scheduling. Grants & Collaborations: Engages in multi-institutional projects involving institutions like Université Paris-Saclay and industry partnerships. Active in conferences such as TRB, IEEE ICC, and ACM SIGCOMM. Labs/Teams: Leads projects within SAMOVAR lab focusing on smart transportation and edge computing systems.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +۷ مورد دیگر

Ian Norheim is an Associate Professor in the Department of Electrical Energy at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic and professional journey spans research, industry, and academia, with a focus on electrical energy systems and renewable integration. Ph.D. in Electrical Engineering, NTNU (2002) M.Sc. in Electrical Engineering, NTNU (1997) His research interests lie in the domain of modern power systems, particularly renewable energy integration, microgrids, voltage stability, and distributed energy resources. His recent publications emphasize multi-energy systems and the technical challenges of integrating wind power into existing grids. The trend in his publications shows a consistent focus on electrical energy systems, starting with wind power integration and reserve assessment in 2008, moving to voltage optimization in distribution networks in 2018, and culminating in a comprehensive 2025 review on multi-energy microgrid design. These works reflect a deep engagement with sustainable energy transition, system modeling, and grid resilience. No scientific awards are mentioned in the available text. Ian Norheim has supervised bachelor's theses and teaches key courses in power electronics, electrical machines, high-voltage systems, and power system stability. While formal graduate advisees are not listed, his involvement in research and education suggests an active role in student mentorship. There is no mention of specific grants, but his publications indicate sustained research activity. He is affiliated with NTNU’s Department of Electrical Energy and conducts research in power system modeling and renewable integration. His work contributes to the development of resilient and sustainable energy infrastructure.

Pankaj Mehraمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Memory Systems
• Storage Systems
• +۱۳ مورد دیگر

Pankaj Mehra is an Adjunct Professor in the Department of Computer Science and Engineering at the Jack Baskin School of Engineering, University of California, Santa Cruz (UCSC). He is affiliated with the Storage Systems Research Center (SSRC), now succeeded by the Center for Research in Storage Systems (CRSS). Alongside his academic role, he is the Founder and CEO of Elephance Memory, Inc., and serves as Workstream Lead for Computational x Programming (x = Memory or Storage) at the OpenCompute Project. Ph.D. in Computer Science, University of Illinois at Urbana-Champaign Former Faculty, IIT Delhi Adjunct Faculty, University of California, Wright State University Computer Scientist, NASA Ames Research Center Founder, HP Labs Russia Executive Roles: SVP & WW CTO at Fusion-io; VP at Samsung, SanDisk, Western Digital Pankaj Mehra's research centers on next-generation memory and storage systems. His work explores disaggregated memory architectures, computational storage, non-volatile memory (NVM), and data-centric operating systems. He investigates how to optimize data placement, improve system performance through intelligent caching, and restructure computing models around emerging memory technologies like CXL and persistent memory. His recent publications focus on far memory, tiered memory systems, and offloading computation to storage devices. His recent publications demonstrate a strong focus on memory disaggregation, computational storage, and non-volatile memory systems. Themes include rethinking data and pointer management in distributed memory environments, resource allocation in tiered systems, and designing operating systems that treat data as a first-class citizen. His work bridges academic research and industrial innovation, often involving collaboration with leading researchers at UCSC. Samsung R&D Award (2019) CES R&D Innovation Award (2021) Terabyte Sort Trophy by Jim Gray (1998) TPC-C Cluster Performance Records (1997) Pankaj Mehra has advised and collaborated with numerous researchers and engineers across academia and industry. His work has been supported by affiliations with HP Labs, Fusion-io, Samsung, and now Elephance Memory, Inc. He has led major research and development initiatives, including SmartSSD at Samsung and foundational work on persistent memory at HP. He has also contributed to standards efforts through the InfiniBand Trade Association. He has been a key contributor to the UCSC Storage Systems Research Center (SSRC/CRSS), collaborating with faculty and researchers including Ethan L. Miller, Heiner Litz, and Daniel Bittman. His industry leadership at Elephance Memory, Inc. and involvement in the OpenCompute Project further extend his influence in shaping future data infrastructure technologies.