جستجوی استاد راهنمای دانشگاهی

Chengmo Yangمشاهده پروفایل

استاد

• Embedded Systems
• Design Automation
• Computer Architecture
• +۶ مورد دیگر

Dr. Chengmo Yang is a Professor in the Department of Electrical and Computer Engineering at the University of Delaware, with a joint appointment. She received her PhD and MSc in Computer Science from the University of California, San Diego, and a BSc in Microelectronics from Peking University, China. PhD, University of California, San Diego MSc, University of California, San Diego BSc, Peking University, China Her research focuses on enhancing security, reliability, non-volatility, and energy efficiency in embedded systems, cyber-physical systems (CPS), and Internet-of-Things (IoT). She leads the Computer Architecture, Reliability, and Security (CARES) group and has authored over 70 peer-reviewed publications. Recent publications emphasize neural network accelerators, non-volatile memory (NVM) optimization, and security frameworks for embedded systems. Her work explores fault tolerance, wear leveling, and side-channel attack mitigation in NVM-based FPGAs, STT-RAM, and SSDs. National Science Foundation Career Award (2013) University of Delaware Mid-Career Faculty Excellence in Scholarship Award (2020) Best paper award at ICESS (2019) Three best paper nominations at DAC, DATE, and GLSVLSI (2019) Dr. Yang serves as Associate Editor for IEEE TCAD and ACM TODAES. She is the Diversity & Inclusion Representative for IEEE CEDA and has organized numerous conferences including Technical Program Chair for CODES-ISSS 2022. Her lab has hosted current and former students like Fanruo Meng (PhD candidate), Fateme Hosseini (Qualcomm), and Patrick Cronin (Intel), focusing on graduate-level research in hardware security and reliability.

Jeehwan Kimمشاهده پروفایل

دانشیار

• Nanotechnology
• Materials Science
• Electronics
• +۷ مورد دیگر

Jeehwan Kim is an Associate Professor in Mechanical Engineering and Materials Science and Engineering at MIT. He joined the Mechanical Engineering faculty in 2015 and became a joint faculty member in DMSE in 2016. His research focuses on nanotechnology for computing/electronics, electronic/photonic devices, neuromorphic computing, and heterogeneous integration. He holds over 100 patents from IBM and has received awards like the Samsung Fellow (2022) and DARPA Director’s Award (2021). Education : BS (Hongik University), MS (Seoul National University), PhD (UCLA), all in Materials Science and Engineering. Research Interests : Kim’s group innovates in 2D materials, remote epitaxy, neuromorphic systems, and next-gen electronics. Key areas include monolithic 3D integration, bioelectronic devices, and energy-efficient semiconductors. His work bridges material physics with practical device applications. Awards : Samsung Fellow (2022) DARPA Director’s Award (2021) Young Faculty Award (2019) IBM Faculty Award (2016) IBM Master Inventor (2012) Labs/Teams : Jeehwan Kim Research Group at MIT, focusing on advanced material synthesis and device engineering. Active in cross-disciplinary projects involving AI and semiconductor innovation.

Daniele Ielminiمشاهده پروفایل

استاد

• Non-volatile memory technologies
• Resistive switching memory (RRAM)
• Phase change memory (PCM)
• +۵ مورد دیگر

Daniele Ielmini is a Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy, where he leads research in non-volatile memory technologies and neuromorphic computing. He received his Laurea (with merit) and Ph.D. in Nuclear Engineering from Politecnico di Milano in 1995 and 2000, respectively, and has held visiting positions at Intel Corporation (2006), Stanford University (2006), and the University of Illinois at Urbana-Champaign (2010). His research focuses on the modeling and characterization of non-volatile memories, including nanocrystal memory, charge trap memory, phase change memory (PCM), resistive switching memory (RRAM), and spin-transfer torque magnetic memory (STT-MRAM). He has co-edited the book 'Resistive switching – from fundamental redox-processes to device applications' and published over 300 papers with more than 10,000 citations and an H-index of 69 (Scopus, September 2023). Prof. Ielmini's recent publications demonstrate a strong trend toward in-memory computing and neuromorphic applications, with particular emphasis on closed-loop analog computing architectures, reservoir computing with 2D materials, and hardware security implementations using emerging memory technologies. His work bridges fundamental device physics with practical computing applications, especially for energy-efficient AI acceleration. Intel Outstanding Researcher Award (2013) ERC Consolidator Grant (2014) IEEE-EDS Paul Rappaport Award (2015) Fellow of the IEEE Prof. Ielmini leads multiple ERC-funded projects including SHANNON (Secure Hardware with Advanced Nonvolatile memories), NEURO2D (neuromorphic systems based on reservoir computing in MoS2), and ANIMATE (closed-loop in-memory computing). His research group includes post-doctoral researchers, PhD students, and M.Sc. students working on various aspects of emerging memory technologies and their applications. He serves as Associate Editor for IEEE Trans. Nanotechnology and Semiconductor Science and Technology (IOP), and has served in several Technical Subcommittees of international conferences including IEEE-IEDM, IEEE-IRPS, and IEEE-ISCAS. His laboratory at Politecnico di Milano is equipped with advanced semiconductor device testing equipment including probe-stations, semiconductor parameter analyzers, high-speed waveform generators, and other specialized instruments for nano-electronic research. The lab collaborates with major semiconductor companies including Micron Technology Inc. and STMicroelectronics, as well as participating in national and international research projects.

Gianluca Piazzaمشاهده پروفایل

استاد

• MEMS/NEMS
• Nanotechnology
• Piezoelectric Devices
• +۷ مورد دیگر

Gianluca Piazza is the STMicroelectronics Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Mechanical Engineering. He directs the John and Claire Bertucci Nanotechnology Laboratory (CMU Nanofab). Previously, he was the Wilf Family Term Assistant Professor at the University of Pennsylvania. His research focuses on piezoelectric micro/nano electromechanical systems (M/NEMS) for RF communication, optomechanics, chemical/biological sensing, and mechanical computing. Key projects include nanorelays for low-power computing, ultrasound-based wireless powering, and piezoelectric MEMS for energy harvesting. Education: PhD (2005) in Electrical Engineering from UC Berkeley; MS (2001) from University of Texas at Austin and Politecnico di Milano (Italy). Research Interests: M/NEMS design, micro/nano fabrication, piezoelectric materials, mechanical switches, and energy-efficient electronics. His work bridges fundamental science and applied engineering, with patents in micromechanical resonators and awards including the IBM Young Faculty Award (2006) and multiple IEEE Best Paper Awards. Grants & Collaborations: NSF LEAP-HI grant ($2M) for nanorelay development (2020); CMU Kavčić-Moura Endowment funding. Collaborates with Maarten de Boer (Mechanical Engineering) and institutions like the University of Pennsylvania and City University of Hong Kong. Labs & Teams: Leads the Piazza Micro and Nano Systems Laboratory, focusing on NEMS/MEMS innovation. Active in CMU’s Center for Silicon System Implementation and Engineering Research Accelerator.

• Machine Learning
• Database Systems
• Artificial Intelligence
• +۳ مورد دیگر

Christopher Re is a Professor in the Department of Computer Science at Stanford University, affiliated with the Stanford AI Lab, Machine Learning Group, and Center for Research on Foundation Models. His research focuses on the intersection of machine learning, database systems, and scientific computing, with applications in humanitarian efforts, scientific discovery (e.g., extrasolar neutrinos, DNA foundation model Evo), and industry partnerships with companies like Apple and Google. He has been recognized with prestigious awards, including the MacArthur Foundation Fellowship and multiple test-of-time awards. His work emphasizes advancing thermal materials, phase-change memory, and ultrafast electron microscopy technologies. Re's research contributions span database theory, systems, and machine learning, with best papers at PODS 2012, SIGMOD 2014, and ICML 2016. His lab’s innovations have been incorporated into products globally, and he actively invests in technology startups. Key projects include developing thermal interface materials for 3D integrated circuits and exploring energy-efficient neuro-inspired memory systems. His awards reflect sustained excellence: NeurIPS 2020 and PODS 2022 test-of-time awards, along with recent accolades for student-led initiatives at MIDL 2022 and ICLR22. Re’s interdisciplinary approach bridges academia and industry, driving both scientific and humanitarian impact.

Sohrab Zendehboudiمشاهده پروفایل

استاد

• Energy and Environment
• Process Systems Engineering
• Transport Phenomena
• +۵ مورد دیگر

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

Patrick W. C. Hoمشاهده پروفایل

مدرس

• Memristor
• Non-volatile memories
• VLSI
• +۷ مورد دیگر

Dr. Patrick W. C. Ho is a Lecturer in the Department of Electrical & Computer Systems Engineering (ECSE) at Monash University Malaysia School of Engineering. He holds a PhD in Electronics Engineering from the University of Nottingham Malaysia Campus (2016), with research focusing on non-volatile FPGA architectures using memristors. His academic journey includes roles as a Scholarly Teaching Fellow and unit coordinator for courses like ECE2131 Electrical Circuits and ECE4063 Large Scale Digital Design. He has industry experience with Intel Microelectronics and Altera Corporation, alongside teaching A-level Physics at Methodist College Kuala Lumpur. Education: BEng (First Class Honours) in Engineering (2009) MSc in Science (2012) PhD in Electronics Engineering (2016) Research Interests: Dr. Ho specializes in memristor-based non-volatile memory systems, VLSI design, and FPGA architectures. His work bridges hardware design with emerging materials, as seen in his Q1 journal article on memristive LUTs. Collaborations with CAD-IT expand his focus into AI, image processing, and object recognition. Recent projects include studies on memristor substrate performance (2023–2026) and UAV communication reliability (2021–2024). Teaching and Industry Engagement: As ECSE’s Industrial Training Advisor and IAP representative, he actively connects academic curricula with industry needs. His teaching spans foundational engineering courses and advanced digital design modules. Labs and Collaborations: Active in CAD-IT partnerships for student FYP co-sponsorship. Research groups focus on nanotechnology, machine learning integration in UAV systems, and memristor material analysis.

Raj Manglikمشاهده پروفایل

استاد

• Heat Transfer
• Thermal Engineering
• Fluid Dynamics
• +۷ مورد دیگر

Dr. Raj M. Manglik is a Professor of Mechanical & Materials Engineering and Director of the Thermal-Fluids & Thermal Processing Laboratory at the University of Cincinnati. His research focuses on interfacial phenomena, molecular dynamics, heat transfer enhancement, and thermal systems design. He holds a Ph.D. from Rensselaer Polytechnic Institute, an M.S. from Iowa State University, and a B.Tech. from Indian Institute of Technology Madras. Dr. Manglik has secured over $9.5M in grants, including recent projects on advanced dry-cooling systems, 3D printed ceramic heat exchangers, and thermal energy storage. His work spans experimental and computational studies of heat exchangers, non-Newtonian fluids, and phase-change materials. He has authored numerous peer-reviewed publications and co-edited books such as Principles of Heat Transfer . Awards include the ASME Heat Transfer Memorial Award (2016), ASME James Harry Potter Gold Medal (2018), and multiple university teaching and research accolades. His lab explores topics like boiling heat transfer, drop impact dynamics, and energy-water nexus solutions in power plants.

Sylvie Lorenteمشاهده پروفایل

استاد

• Thermal engineering
• Heat transfer
• Design in nature
• +۸ مورد دیگر

Sylvie Lorente is a Professor at Villanova University (College of Engineering, Department of Mechanical Engineering). She holds concurrent positions as Professor (Exceptional Class) at INSA Toulouse (France), Extraordinary Professor at the University of Pretoria (South Africa), and Adjunct Professor at Duke University (USA). Her academic career includes past roles at Hong Kong Polytechnic University, Shandong Academy of Sciences, and Pontificia Universidad Catolica (Chile). Research Interests: Her work centers on thermal engineering, heat transfer, and the Constructal Law, which governs the design of flow systems in nature and technology. She explores evolutionary design, sustainability, and energy-efficient systems for buildings and urban environments, mass transfer, and applications of dendritic flow networks to thermochemical energy storage, battery thermal management, and bio-based materials. Key Trends in Publications: Recent articles focus on optimizing battery thermal management using constructal canopy-to-canopy designs, phase change materials (PCM) for cooling and energy storage, hierarchical capillary networks for evaporative cooling, and fluid flow architectures in porous media. Her work bridges thermodynamics, materials science, and sustainable design. Scientific Awards: Order 'Chevalier de l’Ordre National du Mérite' (2015, French Government) PROSE Award for 'Design with Constructal Theory' (2009, American Association of Publishers) Order 'Les Palmes Académiques' (2008, France) James P. Hartnett Memorial Award (2007, American Society of Mechanical Engineers) Intelligent Optimal Design Prize (2006, CADLM) Bergles-Rohsenow Young Investigator in Heat Transfer Award (2005, ASME) Edward F. Obert Award (2004, ASME)

• Computer Engineering
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Ning Li is an Associate Professor in Electrical Engineering , with a focus on in-memory computing , phase-change memory , and deep learning acceleration . Their research spans hardware-aware training, analog memory device reliability, and energy-efficient AI systems. Key Research Areas : Phase-change memory, In-memory computing, Neural networks, Analog computing, Memory cell design, Resistance drift mitigation. Recent Publications highlight innovations in: Optimizing phase-change memory devices for low-resistance drift Hardware-aware training to maintain accuracy in analog compute-in-memory systems Energy efficiency improvements via drift-aware mapping of neural network weights Collaborations include institutions in the United States and Singapore, contributing to UN Sustainable Development Goals related to industry innovation and affordable clean energy .

• Phase Change Memory
• Neuromorphic Computing
• Very Large Scale Integration
• +۴ مورد دیگر

Houpeng Chen is a Research Professor at the Chinese Academy of Sciences, specifically affiliated with the School of Microsystem and Information Technology in the Department of Microelectronics. With over two decades of research experience since the early 2000s, Chen has established himself as a leading expert in memory systems and circuit design, particularly in the areas of Phase Change Memory and neuromorphic computing. Chen's research primarily focuses on advanced memory technologies, with particular emphasis on Phase Change Memory (PCM) systems, neuromorphic computing architectures, and analog circuit design for memory applications. His work spans from fundamental circuit design for memory systems to advanced computing architectures that leverage novel memory technologies. A significant portion of his recent work explores in-memory computing paradigms and brain-inspired computing systems, demonstrating a strategic shift toward next-generation computing architectures that address the limitations of traditional von Neumann systems. Analysis of Chen's publication record shows a clear evolution from traditional circuit design toward more innovative memory-based computing architectures. His recent work demonstrates strong expertise in 3D cross-point memory systems, in-memory computing, and neuromorphic hardware implementations. The research shows consistent quality with publications in top-tier IEEE journals and conferences, indicating strong recognition within the semiconductor and memory research community. As evidenced by the authorship patterns in his publications, Chen has successfully mentored numerous graduate students and junior researchers who have gone on to become first authors on significant publications. His collaborative network includes extensive work with Zhitang Song, Qian Wang, and Xi Li, suggesting a well-established research group with strong internal collaboration.

Zhu Zhichunمشاهده پروفایل

دانشیار

• Computer architecture
• Performance modeling and evaluation
• Energy-efficiency computer designs

Zhu Zhichun is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago, College of Engineering. His primary research focuses on computer architecture, performance modeling, and energy-efficient designing of computer systems. Ph.D. in Computer Science from College of William and Mary (2003) B.Sc. in Computer Engineering from Huazhong University of Science and Technology, China (1992) His research interests center around computer architecture , particularly in performance modeling and evaluation , energy-efficiency computer designs , and memory system optimization . He investigates techniques for improving power efficiency, thermal management, and bandwidth utilization in DRAM and PCM memory systems, with a focus on multicore processors and low-power designs. Zhu's publications demonstrate consistent work in memory architecture and power-efficient computing . Key trends include thermal modeling , DRAM optimization , and hybrid memory systems . His collaborations with Zhao Zhang, Jiang Lin, and other researchers highlight interdisciplinary approaches to solving computer architecture challenges.

Bahgat G. Sammakiaمشاهده پروفایل

استاد

• Heat Transfer
• Electronics Packaging
• Thermal Management of Data Centers
• +۳ مورد دیگر

Bahgat G. Sammakia is a Distinguished Professor of Mechanical Engineering and Vice President for Research at Binghamton University (SUNY). He leads multiple research centers including S3IP (a NY State Center of Excellence), the Energy-Smart Electronic Systems (ES2) NSF IUCRC, and CHIRP (Center for Heterogeneous Integration Research in Packaging). His roles also include former interim President of SUNY Polytechnic Institute and former IBM senior technical staff member. Education: B.S. from the University of Alexandria, M.S. and Ph.D. from SUNY Buffalo. Post-doctoral fellowship at the University of Pennsylvania (1982–1983). Research focuses on heat transfer , electronics packaging , data center thermal management , and heterogeneous integration . He pioneered cooling solutions for high-density electronics and data centers, emphasizing energy efficiency and thermal reliability. Award highlights include the 2020 Heat Transfer Memorial Art Award (ASME), Fellowships in the National Academy of Inventors (2016), IEEE (2013), and ASME (1997). He holds 21 U.S. patents and over 250 peer-reviewed publications. Leadership in S3IP and CHIRP drives innovation in microelectronics and advanced packaging. His work bridges academic research with industry applications, addressing global challenges in semiconductor cooling and energy-smart systems.

Melissa Santalaمشاهده پروفایل

دانشیار

• Materials Science
• Nanotechnology
• Phase Transformations
• +۴ مورد دیگر

Melissa Santala is an Associate Professor in the Department of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University (OSU), part of the College of Engineering. She holds a Ph.D. in Materials Science & Engineering from the University of California, Berkeley (2009), and additional degrees including an M.A. in Art Conservation (Queen’s University, 1996) and a B.A. in Art History (University of Massachusetts, 1993). Her research focuses on surfaces and interfaces in nanostructured materials, phase transformation kinetics, and advanced microscopy techniques like aberration-corrected TEM and photo-emission TEM. She leads the Santala Research Group, which collaborates with institutions such as the National Institute of Standards and Technology (NIST) and DOE national labs. Dr. Santala’s work emphasizes phase change materials (PCMs), particularly their crystallization behavior and applications in computer memory. She has received the NSF CAREER Award (2020) for her project on marginal glass formers. Her lab is located in Dearborn Hall, OSU, and her team includes graduate students like Ari Clauser and Izak McGieson. She advises on projects involving nanocalorimetry, in-situ microscopy, and material stability. Her contributions span over 30 peer-reviewed publications, with recent studies on Pt-alumina interfaces, Ag-In-Sb-Te crystallization, and additive-manufactured steels. Former postdoctoral and student collaborators include Rajib Alam, Harrison Nealley, and Zachary McClure. Her research highlights interdisciplinary approaches to materials science, blending experimental and computational methods to advance technology-driven materials development.

Aida Todri-Sanialمشاهده پروفایل

استاد

• Energy-Efficient Circuits
• Quantum Computing
• Neuromorphic Computing
• +۴ مورد دیگر

Aida Todri-Sanial is a Full Professor in the Integrated Circuits group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). She leads the NanoComputing Research Lab and is affiliated with the Center for Quantum Materials and Technology Eindhoven (CQMT-E), EAISI, and the Integrated Circuits group. Her research focuses on energy-efficient circuits, novel computing paradigms (e.g., 3D integration, neuromorphic computing, quantum computing), and nanotechnology-driven architectures. Education: PhD in Electrical and Computer Engineering, University of California Santa Barbara (2009) Bardeen Fellow at Fermi National Accelerator Laboratory (2009–2010) Scientist/Research Director at CNRS (2011–2021) Visiting Fellow at the University of Cambridge (2016–2017) Research Interests: Dr. Todri-Sanial’s work integrates physics and electronics to design unconventional computing systems. Key areas include: Physical design optimization for energy efficiency Oscillatory neural networks (ONNs) for edge AI Quantum computing hardware and error mitigation 3D integration and monolithic-3D architectures Nanomaterials (e.g., VO₂, MoS₂) for neuromorphic and sensing applications Awards & Grants: ERC Consolidator Grant THERMODON (2023) NWO AiNed Fellowship (2024) NWO Quantum Technology Grant (2024) CNRS Bronze Medal (2016), IBM Quantum Open Science Prize (2021), and IEEE Distinguished Lecturer (2022) Labs & Teams: Principal Investigator of the NanoComputing Research Lab Lead researcher in EAISI (Eindhoven Artificial Intelligence Systems Institute) Collaborator with global institutions (e.g., IBM, STMicroelectronics)