جستجوی استاد راهنمای دانشگاهی

Humberto Terrones Maldonadoمشاهده پروفایل

استاد

• 2-Dimensional Materials
• Complex 3-D Atomic Structures
• Solid State and Condensed Matter Physics
• +۲ مورد دیگر

Humberto Terrones Maldonado holds the Rayleigh Endowed Chair Professor position in the Department of Physics, Applied Physics and Astronomy at Rensselaer Polytechnic Institute (RPI). An internationally recognized scholar, he has served as an invited professor at numerous institutions including the University of Louvain (UCL, Belgium), Federal University of Ceará (UFC, Brazil), Shinshu University (Japan), Oak Ridge National Laboratory (ORNL, USA), Penn State University (USA), and the University of Sussex (UK). He is a member of the World Academy of Sciences (TWAS) and the Mexican Academy of Sciences. His educational background includes: PhD, University of London (Birkbeck), UK BSc, Iberoamericana University, Mexico Professor Terrones pioneered the concept of curvature in graphite and graphene in 1991, introducing Schwarzites—graphitic structures with negative Gaussian curvature. His research focuses on electronic, optical, mechanical, and chemical properties of few-layered 2D materials and their application in novel 3D nanostructures. Key areas include: 2-Dimensional Materials Complex 3-D Atomic Structures Solid State and Condensed Matter Physics Nanoscience and Nanotechnology Nonlinear Optics His recent publications (2022-2025) reveal a strong emphasis on transition metal dichalcogenides, defect engineering, machine learning for materials design, and energy applications. Work spans experimental characterization of heterostructures, computational simulations of lattice mechanics, and innovative synthesis techniques like liquid metal exfoliation. His notable scientific awards and honors include: Rayleigh Endowed Chair Member of the World Academy of Sciences (TWAS) Member of the Mexican Academy of Sciences

Laurent DUPONTمشاهده پروفایل

پژوهشگر

• Innovation Engineering
• Sustainable Cities
• Collaborative Innovation
• +۴ مورد دیگر

Laurent DUPONT is a Research Engineer and Co-coordinator of the IUVTT Master’s program at ENSGSI (École Nationale Supérieure de Géologie et de Sciences Industrielles), part of the Groupe INP in Nancy, France. He also serves as Scientific Manager of the Lorraine Fab Living Lab. His work focuses on user-driven innovation, smart and sustainable territories, collaborative engineering, and immersive environments. He holds a PhD in Industrial Systems Engineering from INPL (2009), a DEA (2004), and a degree in Industrial Systems Engineering (2003) from ENSGSI. Research interests include innovation lab strategies, open innovation spaces, territorial resilience, and digital twin applications in manufacturing. He leads projects like INEDIT, exploring co-design frameworks and circular economy solutions. His articles highlight trends in collaborative innovation networks, systemic impact mapping, and the integration of extended reality in industrial contexts. Key contributions include frameworks for evaluating territorial resilience and tools for monitoring innovation lab networks. He has been involved in initiatives such as the DHDA Project for resilience assessment and the Smagrinet project on smart grid training. His work bridges academia and practice through participatory methods and cross-sector collaborations. Current projects emphasize Industry 5.0, open manufacturing, and community-driven innovation.

• IoT Security
• AI Security
• Wireless Networks
• +۲ مورد دیگر

Xiaojiang Du is the Anson Wood Burchard Endowed Professor at Stevens Institute of Technology, directing research in IoT security, AI security, and wireless networks. An IEEE Fellow and ACM Distinguished Member, he leads NSF-funded projects on secure IoT systems and cross-platform security vulnerabilities. Education PhD in Electrical Engineering, University of Maryland MS in Electrical Engineering, Tsinghua University BE in Electrical Engineering, Tsinghua University Research Focus: Develops security frameworks for IoT ecosystems and adversarial machine learning, with recent breakthroughs in smart home security anomaly detection. Honors: IEEE Fellow, ACM Distinguished Member, multiple best paper awards at IEEE conferences. Graduated PhD students hold faculty positions at UNC Charlotte, UL Lafayette, and ShanXi University. Professional Service: IEEE ComSoc Distinguished Lecturer, Associate Editor for IEEE Transactions, and General Co-Chair for IEEE/ACM IWQoS 2023. Secured $9M+ in research funding from NSF, NSA, and DOD.

• Interface Chemistry
• Thin Film Characterization
• Semiconductor Physics
• +۴ مورد دیگر

Dr. Robert O’Connor is an Assistant Professor at the School of Physical Sciences, Dublin City University (DCU) , specializing in interface chemistry and thin film characterization. His work bridges semiconductor physics and energy harvesting technologies , with a focus on materials like high-κ dielectrics and III-V substrates. BSc in Applied Physics (2001), DCU PhD in Semiconductor Physics (2005), DCU His research employs X-ray photoelectron spectroscopy (XPS) and atomic layer deposition (ALD) to study material interfaces in devices such as MOSFETs and photoelectrochemical systems . He leads a 4-year SFI-funded project on solar water splitting for hydrogen fuel and collaborates with Trinity College Dublin (SPOKE project) and IMEC, Belgium on area-selective deposition techniques. His lab utilizes a state-of-the-art integrated ALD-XPS tool . His scientific awards include the Marie Curie Intra-European Fellowship , Irish Research Council EMBARK Fellowship , and SFI TIDA Award . Publications span high-κ dielectrics , self-assembled monolayers , and block copolymer lithography , with recent work on graphene oxide heterostructures and recyclability in additive manufacturing . He supervises 5 postgraduate students and teaches modules like Final Year Project (PS451) and Solid State Physics I (PS204) . Collaborations include institutions such as IMEC and Trinity College Dublin , with tools like the integrated ALD-XPS system at DCU.

• Energy Efficiency
• Waste Heat Recovery
• Organic Rankine Cycle (ORC)
• +۷ مورد دیگر

Dr. Muhammad Imran is a Reader and Lecturer in Mechanical, Biomedical & Design Engineering at Aston University, UK. He is affiliated with the Energy and Bioproducts Research Institute (EBRI) and the College of Engineering and Physical Sciences. His research focuses on energy efficiency, waste heat recovery, and low-temperature power cycles such as Organic Rankine Cycle (ORC) and Supercritical CO₂ systems. He has contributed to the commercialization of ORC systems and collaborates internationally on hybrid energy systems, solar-thermal integration, and district heating networks. Dr. Imran holds a PhD in Energy System Engineering (2016), MSc in Thermal Power Engineering (2012), and BEng in Mechanical Engineering (2009). He has held academic roles at institutions in Pakistan, South Korea, and Denmark, including a Marie Curie Fellowship at the Technical University of Denmark. His awards include the Marie Curie Fellowship (EU), Innovation Award (South Asia Triple Helix), and multiple Research Excellence Awards from South Korea. He leads funded projects on hybrid energy systems for agriculture, waste heat recovery in industries, and sustainable energy solutions in developing countries. His editorial roles include associate editorships in Frontiers in Thermal Engineering and Resources, Environment and Sustainability . He supervises PhD students in renewable energy and low-temperature thermodynamic systems, with ongoing projects on solid-state heat pumps and advanced ORC control strategies. Dr. Imran’s work bridges engineering, data science, and environmental science to address energy challenges. Notable collaborations include projects in Ethiopia, Kenya, Nigeria, and Sudan, focusing on off-grid cold storage, smart irrigation, and biomass energy systems. His research outputs include over 130 peer-reviewed articles, patents, and contributions to international conferences.

• Wearable Sensors
• Smart Garments
• Sustainable Textiles
• +۵ مورد دیگر

Dr. Shirley Coyle is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU) and Programme Chair for the BSc Global Challenges. She holds a BEng in Electronic Engineering from DCU (2000) and a PhD in Biomedical Engineering from NUI Maynooth (2005). Her career includes roles as a Telecoms Engineer at Siemens, Research Fellow at the National Centre for Sensor Research, and Team Leader of Wearable Sensors in the INSIGHT Centre for Data Analytics. She also studied part-time at the Grafton Academy for Fashion Design and later founded a consultancy in wearable technologies. Her research focuses on smart garments, wearable sensors, and sustainable textiles, with applications in healthcare, sports performance, and S.T.E.A.M. integration. Key interests include developing wearable chemical sensors, energy-autonomous sensing systems, and IoT-enabled rehabilitation devices. She has pioneered work on wearable sensors for monitoring chronic diseases, athlete training, and home rehabilitation using VR. Dr. Coyle’s work spans interdisciplinary collaboration, combining biomedical engineering with textile design. Her contributions include innovations in electrospun textiles, self-powered sensors, and sensor integration with microfluidics. She has held leadership roles in DCU’s Governing Authority and promotes STEM education through design-focused initiatives.

Julia Thom-Levyمشاهده پروفایل

استاد

• Experimental Particle Physics
• Heavy Quark Physics
• Hadron Collider Physics
• +۲ مورد دیگر

Julia Thom-Levy is a Professor of Physics in the College of Arts and Sciences at Cornell University, serving as Deputy Director of the Cornell Laboratory of Accelerator-Based Sciences and Education and Vice Provost for Academic Innovation. Her career at Cornell progressed from Assistant Professor (2005-2012) to Associate Professor (2012-2018) and Professor (2018-present), following prior research roles at SLAC and Fermilab. She earned her Physics Dipl. (1997) and Ph.D. (2001) from Hamburg University. Her research centers on experimental particle physics, with expertise in heavy quark physics, hadron collider physics, and silicon detector development for both particle physics and X-ray science applications. She leads critical work on CMS experiment upgrades at CERN's LHC, focusing on radiation-hard pixel detectors and Higgs boson/top quark physics analysis. Her 2013-2018 publications reveal a consistent focus on precision measurements in top quark physics and Higgs boson studies through CMS collaboration, alongside innovative detector technology development. The research demonstrates strong interdisciplinary connections between high-energy physics and advanced materials science. Awards and Honors: Fellow, German National Scholarship Foundation (1993-1997) She advises graduate student Lena Franklin and has mentored postdocs Joseph Reichert and Jose Monroy, along with undergraduates Hannah Hu, Benjamin Myers, Jeffrey Backus, and Alexander Albert. Her group secures significant funding including a $3.8M NSF grant for early universe research and $2.7M for the Active Learning Initiative. She directs detector R&D for CHESS light source applications and leads Cornell's academic innovation efforts through the Active Learning Initiative, which has transformed classroom instruction across STEM disciplines.

Annalisa Maneraمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Prof. Annalisa Manera is a Full Professor at ETH Zurich's Department of Mechanical and Process Engineering since July 2021, specializing in nuclear systems and multiphase flows. Previously, she held a professorship at the University of Michigan's Nuclear Engineering Department from 2011 to 2021. Her research focuses on advanced experimental techniques for single-phase and multiphase flows, high-resolution CFD validation, and computational tools for nuclear systems. She co-directs the Experimental and Computational Multiphase Flow (ECMF) Lab and the High Resolution Imaging Lab. Education: M.Sc. in Nuclear Engineering (University of Pisa, summa cum laude) and Ph.D. in Nuclear Engineering (Delft University of Technology). Awards include the ANS Bal-Raj Sehgal Memorial Award (2022) and the US DOE CASL Director’s Award (2016), alongside being an American Nuclear Society Fellow. Her work bridges nuclear safety, thermal-hydraulics, and computational modeling, with contributions to polaron physics, electron-phonon interactions, and material simulations. Courses taught include Nuclear Energy Conversion and Beyond-Design-Basis Safety.

Romain Fleuryمشاهده پروفایل

دانشیار

• Wave Physics
• Acoustic Metamaterials
• Topological Insulators
• +۴ مورد دیگر

Romain Fleury is an Associate Professor at the Laboratory of Wave Engineering (LWE) , part of the École Polytechnique Fédérale de Lausanne (EPFL) School of Engineering and Institute of Electrical and Micro Engineering (IEL) . He earned a Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in 2015 under Andrea Alù, followed by a Marie-Curie Postdoctoral Fellowship at ESPCI Paris-Tech and CNRS Langevin Institute (2016). His research explores wave physics and engineering , focusing on topological insulators , nonreciprocal wave propagation , and time-modulated metamaterials . He has co-authored over 70 peer-reviewed articles in journals like Science , Nature , and Physical Review series, with recent work on topological acoustics , active metamaterials , and wave-based analog computing . Dr. Fleury received the Eccellenza Grant (2021) from the Swiss National Science Foundation and an ERC Starting Grant (2022) . He co-founded Minwave , a startup selling miniaturized microwave devices patented by his lab, which has garnered awards such as ESA-BIC CH , FIT , and Venture Kick . He has served as Technical Program Committee Chair for Eucap 2019 and on the Editorial Board of the New Journal of Physics . Recognized for teaching excellence with the STI Polysphere Award (2019) and IEL Best Teacher Award , he teaches courses including Electromagnetics , Antennas , and Advanced Photonics . His work bridges fundamental wave physics with applied technologies , emphasizing topological effects , nonlinear systems , and metamaterials . Collaborations span institutions such as ESPCI Paris , University of Texas at Austin , and University of Vienna , with applications in acoustic imaging , 5G antennas , and optical signal processing . His recent publications highlight ultrafast anti-lasing , reconfigurable metasurfaces , and disorder-assisted photonic crystals , reflecting a career dedicated to advancing wave engineering through topological and nonreciprocal designs .

Mark Bockoمشاهده پروفایل

استاد

• Audio and Acoustic Signal Processing
• Computer Audition
• Sensors and Transducers
• +۳ مورد دیگر

Mark Bocko is a Distinguished Professor of Electrical and Computer Engineering at the University of Rochester, affiliated with the Hajim School of Engineering & Applied Sciences. He holds roles as Director of the Center for Emerging and Innovative Sciences (CEIS) and Director of Audio & Music Engineering. He earned his PhD in Physics from the University of Rochester in 1984, focusing on gravitational wave detectors. His research spans audio signal processing, sensors, superconductivity, and quantum computing. Notable contributions include flat-panel loudspeaker development, non-contact ECG sensors, and quantum coherence studies in Josephson junctions. Research interests include audio and acoustic signal processing, computer audition, and sensor technologies. His work integrates interdisciplinary approaches, combining electrical engineering, physics, and computer science. Awards include the 2012 Goergen Award for Teaching and Mercer Brugler Distinguished Teaching Professor (2008–2011). Recent publications address modal crossover networks for loudspeakers, vibrational touch sensing, and room impulse response modeling. He has advised PhD students on topics like spatial audio rendering and musical vibrato analysis. His labs focus on advancing audio engineering and smart sensor systems through collaborative industry partnerships.

Susanna Thonمشاهده پروفایل

دانشیار

• Renewable Energy Conversion
• Photovoltaics
• Nanomaterials Engineering
• +۵ مورد دیگر

Susanna Thon is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. She serves as Associate Director of the Ralph O’Connor Sustainable Energy Institute (ROSEI) and a member of the Data Science and AI Institute. Her research focuses on nanomaterials engineering for optoelectronic devices, emphasizing solar energy conversion and sensing. Notable areas include plasmonic-photocatalytic systems using aluminum nanoparticles and nanostructured materials like colloidal quantum dots for next-generation devices. Thon holds a BSc from MIT (2005) and MSc/PhD in Physics from UC Santa Barbara (2008/2010). She joined JHU in 2013 after postdoctoral work at the University of Toronto. Her work is funded by agencies such as the NSF, U.S. Army, and Maryland Energy Innovation Institute. She has published over 50 peer-reviewed papers and received JHU’s Catalyst and Discovery awards. Key research projects include developing plasmonic systems to enhance light absorption in titanium dioxide and creating scalable fabrication techniques for optoelectronic materials. Thon’s team also advances quantum dot solar cells and novel characterization methods for energy materials. She actively participates in professional societies, including the Optical Society of America and IEEE. Her grants and collaborations aim to train the next generation in sustainable energy research, with recent initiatives funded through NSF and Space@Hopkins seed grants. Thon’s lab integrates nanophotonics, materials science, and machine learning to address global energy challenges.

Preet Singhمشاهده پروفایل

استاد

• Corrosion Science
• Electrochemistry
• Metals and Alloys
• +۵ مورد دیگر

Preet Singh is a Professor and Associate Chair for Graduate Studies in the School of Materials Science and Engineering at Georgia Tech, with affiliations to the College of Engineering. His research focuses on corrosion science, electrochemistry, and environmental degradation of materials, particularly metals and alloys. Prior to joining Georgia Tech in 2003, he was a faculty member at the Institute of Paper Science and Technology (IPST), where he investigated corrosion issues in the pulp and paper industry. Professor Singh's work explores fundamental mechanisms of material degradation in industrial environments, aiming to develop mitigation strategies against environment-induced failures. Key research areas include corrosion fatigue, hydrogen embrittlement, stress corrosion cracking, and oxidation behavior. His group employs experimental approaches to study material reliability under varying chemical and mechanical conditions. Recent publications demonstrate interdisciplinary collaboration across oncology, agriculture, and energy systems, reflecting broad applications of materials science principles. Research trends show increased focus on biomedical materials and sustainable technologies alongside core corrosion studies. Professor Singh advises graduate students including Abdullah Alzubail, Yousif Al Rabie, Sai Shreeya, Yara, and Sean Li. He directs the Corrosion and Materials Reliability Laboratory (CMCRL), which partners with industry to solve practical engineering challenges related to material performance.

Srdjan Lukicمشاهده پروفایل

استاد

• Power Electronics
• Power Systems
• Electric Vehicle Charging
• +۳ مورد دیگر

Srdjan Lukic is the Deputy Director of the FREEDM Systems Center and a Distinguished Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on power electronics, power systems, and electric vehicle infrastructure. He holds a Ph.D. in Electrical Engineering from the Illinois Institute of Technology (2007). His work emphasizes high-power converters, DC microgrids, and extreme fast charging (XFC) technologies for electric vehicles. Recent projects include the development of a 13.2 kV solid-state transformer for EV XFC stations and resilient distributed control frameworks for smart grids. He has contributed to wireless charging systems and modular medium-voltage fast chargers. Key Awards: University Faculty Scholars (2022) Grants: DOE-funded XFC projects, modular EV charging infrastructure Labs/Teams: FREEDM Systems Center, RIAPS control architecture development Publications highlight innovations in microgrid control, power electronics modeling, and privacy-preserving distributed systems. His work addresses grid resilience, cyber-physical integration, and high-efficiency energy conversion.

Jiang Huمشاهده پروفایل

استاد

• VLSI Design Automation
• Hardware Security
• Machine Learning Applications
• +۳ مورد دیگر

Jiang Hu is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Eric D. Rubin '06 Endowed Professorship. He also serves as Co-Director of Graduate Programs and is affiliated with the Computer Science & Engineering department. His research focuses on VLSI design automation, machine learning applications, and hardware security. He has held roles as editor for IEEE Transactions on CAD and ACM Transactions on Design Automation, and chaired the 2012 ACM International Symposium on Physical Design. Education: B.S. in Optical Engineering (Zhejiang University, 1990), M.S. in Physics (1997), and Ph.D. in Electrical Engineering (University of Minnesota, 2001). He worked at IBM Microelectronics before joining Texas A&M in 2002. Research interests include energy-efficient VLSI circuits, on-chip communication fabrics, analog layout automation, and AI-driven EDA. Recent work emphasizes machine learning for design closure, privacy-preserving frameworks, and systolic array-based architectures. Awards: IEEE Fellow (2016) Humboldt Research Fellowship (2012) Multiple best paper awards at DAC, ICCAD, and ASPDAC Advising and grants: Leads initiatives like the SLICE project, NSF workshops on ML-EDA infrastructure, and serves as Editor-in-Chief of ACM TODAES since 2024. His work bridges academic research and industry applications in EDA and semiconductor design. Labs/Teams: Active contributor to open-source tools like ALIGN for analog layout generation and collaborations on machine learning for EDA commons.

Jing Liمشاهده پروفایل

دانشیار

• Computer Architecture
• Compiler Design
• Distributed Systems
• +۷ مورد دیگر

Dr. Jing Li is an Associate Professor and Eduardo D. Glandt Faculty Fellow at the University of Pennsylvania , holding dual appointments in the Electrical and Systems Engineering and Computer and Information Science departments. As co-director of the CyberSavvy nationwide security research center and director of the Penn Computational Intelligence Lab (PennCIL) , she pioneers innovations in non-von Neumann computing paradigms. Her research spans post-CMOS technologies, in-memory computing, and hardware-software co-design for security and AI applications. PhD in Computer Engineering, Purdue University (2009) BSc in Electrical Engineering, Shanghai Jiaotong University (2004) Research Focus: Dr. Li's work addresses fundamental challenges in computer systems across the stack. Key areas include: In-Memory Computing: Liquid Silicon architecture combining RRAM with silicon CMOS through monolithic 3D integration Security Engineering: Transforming computer security from "Art" to formal "Engineering" discipline within CyberSavvy Virtualization: Cloud FPGA abstraction layers decoupling compilation from runtime resource management Graph Analytics: Degree-aware optimization techniques for massive-scale graph processing Deep Learning Systems: Roofline model extensions for FPGA-based CNN acceleration Scientific Impact: Awarded DARPA Young Faculty Award , NSF CAREER Award , and IBM CEO Milestone Award , her team has achieved world records in energy-efficient computing (ENIAD supercomputer). With 46 U.S. patents and over 80 publications, she leads ecosystem development for emerging computing architectures through initiatives like the open-source MEG simulation platform . Community Leadership: Dr. Li serves on program committees for flagship conferences ( ISCA , FPGA Symposium ), chairs the International Memory Workshop , and contributes to the MLsys conference's inaugural committee. She actively mentors through multiple PhD openings and industry collaborations.