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Carlos G. LeviView profile

Research Professor

• Structural Materials
• Thermal Barrier Coatings
• Ceramic Matrix Composites
• +3 more

Carlos G. Levi is a Research Professor in the Department of Materials at the University of California, Santa Barbara (UCSB), part of the College of Engineering. He holds the additional title of Professor Emeritus. His research focuses on microstructure evolution in inorganic materials, particularly in the design of advanced coatings, composites, and alloys for extreme environments. He has contributed significantly to thermal barrier coatings, ceramic matrix composites, and high-temperature alloys for aerospace and energy applications. Education: Ph.D. in Metallurgical Engineering, University of Illinois at Urbana-Champaign (1981) M.Sc. in Metallurgical Engineering, University of Illinois at Urbana-Champaign (1977) Degree in Chemical Engineering, Universidad Autonoma de Nuevo Leon, Mexico (1972) Research Interests: Levi’s work addresses challenges in structural materials, including advanced thermal/environmental barrier coatings resistant to molten silicates, ceramic matrix composites, hypersonic materials, and high-temperature alloys such as multi-principal element alloys. His studies explore degradation mechanisms, phase stability under extreme conditions, and novel synthesis techniques like vapor-mediated melt infiltration. Awards and Honors: 2014 TMS Morris Cohen Award 2012 Fellow of the American Ceramic Society 2008 NIMS Award (shared) for breakthroughs in materials science for energy/environment 2004 DLR Wissenschaftspreis (collaborative paper) 2002 Alexander von Humboldt Research Prize Advising and Grants: No formal student advisees are listed, though his research group likely includes graduate students/postdocs. Grant details are not specified in the provided texts. Labs/Teams: Levi’s research is conducted within UCSB’s Materials Department, leveraging advanced characterization tools (e.g., TriBeam tomography) and computational modeling to study material behavior under extreme conditions.

Baker MohammadView profile

Professor

• Very-Large-Scale Integration (VLSI)
• Hardware Accelerators for Artificial Intelligence
• Hardware Security
• +7 more

Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.

Caterina DucatiView profile

Professor

• Nanomaterials
• Electron Microscopy
• Materials for Energy Applications
• +6 more

Caterina Ducati is a Professor of Nanomaterials at the Department of Materials Science & Metallurgy, University of Cambridge. Her research focuses on nanomaterials, their structure-property relationships, and applications in energy technologies, particularly photovoltaics, photocatalysis, and optoelectronics. Research Interests: In situ electron microscopy of nanomaterials under external stimuli (electrical, thermal, photonic), growth mechanisms of nanostructures (carbon nanotubes, semiconductor nanowires), and degradation processes in energy devices. Methodologies: Advanced characterization via HAADF STEM, TEM, and development of tools for real-time nanoscale observation. Recent publications highlight her work on perovskite solar cells, battery materials (Li, Zn, Na-ion), and ferroelectric thin films. She actively investigates degradation mechanisms in energy devices and develops novel fabrication techniques for nanocomposites. Scientific Recognition: A&B Post-doctoral Fellowship winners (institutional award) She supervises research groups utilizing the Wolfson Electron Microscopy Suite and contributes to interdisciplinary collaborations in materials for sustainability and healthcare applications.

Giuliana Di MartinoView profile

Associate Professor

• Nanoscale Device Engineering
• Plasmonics
• Light-Matter Interactions
• +5 more

Giuliana Di Martino is an Associate Professor in Device Materials at the Department of Materials Science & Metallurgy, University of Cambridge. She leads the Di Martino Lab, which focuses on sustainable power solutions for non-volatile memory (NVM) and brain-like computing systems. Education : Bachelor and Master degrees from Università di Catania and Scuola Superiore di Eccellenza di Catania; PhD in Nanoplasmonics for Materials Innovation at Imperial College London (2014). Her research bridges plasmon-enhanced light-matter interactions and optically-accessible memristive devices , leveraging ultra-concentrated light in plasmonic nanocavities to study atomic-scale dynamics in memory nano-devices. Recent work includes self-assembly of nanomaterials , surface-enhanced Raman spectroscopy (SERS) , and low-power electronics for sustainable IT. Scientific Awards : Winton Advanced Research Fellowship (2018) Her grants include funding from EPSRC , Leverhulme Trust , Isaac Newton Trust , Royal Society , and ERC Starting Grant . The Di Martino Lab collaborates within the Device Materials Group (DMG), which includes three Principal Investigators.

• Neuromorphic Computing
• Memristor-Based Architectures
• Energy-Efficient AI Hardware
• +7 more

Said Hamdioui serves as a full Professor in the Department of Computer Engineering within the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His research focuses on cutting-edge hardware architectures for neuromorphic computing and energy-efficient AI acceleration, with particular emphasis on memristor-based systems, emerging memory technologies, and fault-tolerant designs for edge applications. His research interests span Neuromorphic Computing , Memristor-Based Architectures , and Energy-Efficient AI Hardware , addressing critical challenges in hardware security, computation-in-memory, and reliable edge AI deployment. Recent work demonstrates significant advancements in RRAM/FeFET testing methodologies, spiking neural network implementations, and spin wave computing alternatives to traditional CMOS. His publications reveal strong trends toward real-world deployment of brain-inspired hardware with practical constraints like power efficiency, testability, and security. Award highlights include: DATE'20 Best Paper Award DFT'21 Outstanding Student Paper ETS 2021 Best Paper Award LATS 2018 & 2022 Best Paper Awards Professor Hamdioui actively contributes to the research community through editorial roles at IEEE Transactions on VLSI Systems , IEEE Design & Test , and Journal of Electronic Testing from 2017-2018. His leadership in multi-partner projects like CONVOLVE and NEUROKIT2E demonstrates strong industry-academia collaboration for edge AI solutions. Current work shows increasing focus on practical deployment challenges including in-field fault monitoring, security vulnerabilities in neuromorphic systems, and realistic brain simulation frameworks.

Ahmedullah AzizView profile

Assistant Professor

• Mixed-Signal VLSI Circuits
• Non-Volatile Memory
• Beyond CMOS Device Design
• +4 more

Ahmedullah Aziz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He earned his Ph.D. in Electrical and Computer Engineering from Purdue University (2019), an M.S. from Pennsylvania State University (2016), and a B.S. from Bangladesh University of Engineering & Technology (2013). His research focuses on mixed-signal VLSI circuits, non-volatile memory, and beyond-CMOS device design, emphasizing emerging technologies like ferroelectrics and spintronics. He leads the NorDIC Lab and has published over 60 articles in journals, conferences, and patents. Education: PhD, Electrical & Computer Engineering, Purdue University, 2019 MS, Electrical Engineering, Pennsylvania State University, 2016 BS, Electrical & Electronic Engineering, BUET, 2013 Research Interests: Aziz explores device-circuit-system co-design techniques, particularly in cryogenic neuromorphic systems, superconducting memory, and ferroelectric-based circuits. His work bridges material innovation with practical applications, aiming to advance energy-efficient and high-performance computing. Awards: EDAA Outstanding Dissertation Award (2019/2020) Outstanding Graduate Student Research Award (Purdue, 2019) Samsung 'Icon' Award (2013) Best Publication Awards (SRC-DARPA STARnet, 2015/2016) Advising & Grants: While specific grants are not detailed, his research has been supported by prestigious institutions. He has advised/co-advised projects in emerging technologies but no listed students. His work extends to reviewing IEEE journals, conference TPC roles, and editorial contributions. Labs & Teams: He directs the NorDIC Lab, focusing on next-generation computing and device innovation.

Theodosia GougousiView profile

Professor

• Nanostructured Materials
• Thin Films
• Atomic Layer Deposition
• +3 more

Dr. Theodosia Gougousi is a Professor and Graduate Program Director in the Department of Physics at the University of Maryland, Baltimore County (UMBC). She holds a Ph.D. in Physics from the University of Pittsburgh (1996), an M.Sc. from the same institution (1993), and a B.S. from Aristotle University of Thessaloniki, Greece (1990). Prior to joining UMBC, she held postdoctoral positions at North Carolina State University and the University of Maryland College Park. Her research focuses on nanostructured materials, thin films, and interfaces, with an emphasis on atomic layer deposition (ALD) and physical vapor deposition methods. Key areas of study include dielectrics, semiconductors, photonic materials, and 2D materials such as MoS₂ and TiO₂. Her work addresses challenges in interface engineering, film properties, and material characterization for advanced nanodevices. Research Highlights: Development of ALD techniques for smooth, conformal thin films on high-aspect-ratio structures. Investigation of surface functionalization for selective deposition on 2D materials like MoS₂. Study of nonlinear optical properties in nitrogen-doped TiO₂ films. Exploration of strong coupling phenomena in quantum emitters using tip-enhanced optics. Labs & Facilities: She leads the Materials Physics Lab at UMBC, equipped for thin film deposition, surface characterization, and nanoscale device fabrication. Collaborations include interdisciplinary projects on semiconductor interfaces and photonic materials.

Venkatraman GopalanView profile

Professor

• Nonlinear Optical Materials
• Ferroelectric Materials
• Complex Oxides
• +12 more

Dr. Venkatraman Gopalan is a Professor in the Department of Materials Science and Engineering at Pennsylvania State University, within the College of Earth and Mineral Sciences. His research spans the interdisciplinary domains of materials science, physics, and optical engineering, with a primary focus on nonlinear optical materials. He is actively involved in pioneering work on complex oxides, semiconductor fibers, metalattices, and symmetry-driven material phenomena. His research interests include ferroelectric materials, domain wall physics, second harmonic generation, electro-optics, and van der Waals semiconductors. These areas are central to advancements in multiferroics, optical communications, infrared applications, and all-fiber optoelectronics. The recurring themes in his recent publications highlight a strong emphasis on polarization engineering, symmetry analysis, and the discovery of novel functional materials with tailored optical and magnetic properties. The trend across his recent articles (2025) shows a consistent focus on probing fundamental material behaviors—such as proximity ferroelectricity, non-equilibrium phase formation, and magnetoelectric coupling—using both experimental and theoretical approaches. These works appear in premier journals like Nature , Science Advances , Physical Review X , and Journal of the American Chemical Society , reflecting high impact and interdisciplinary collaboration. His scientific contributions are recognized through active research output and affiliations with major research initiatives, including the Integrated Energy Systems theme at Penn State. Though specific awards are not listed, the caliber of his publications suggests significant recognition within the scientific community. Dr. Gopalan is engaged in collaborative research, frequently co-authoring with leading experts in materials theory, thin film growth, and characterization. While student advising is not explicitly mentioned, his leadership in large, multi-investigator projects implies mentorship roles. His work is supported by institutional and likely federal funding, given the scale and scope of the research. He is associated with advanced materials laboratories at the Millennium Science Complex, where synthesis, characterization, and theoretical modeling converge to explore next-generation functional materials.

• Semiconductor Device Modeling
• Boltzmann Transport Equation
• TCAD (Technology Computer-Aided Design)
• +11 more

Christoph Jungemann is a Professor at RWTH Aachen University in the Faculty of Electrical Engineering and Information Technology, where he serves as Vice Dean and heads the Institute for Theoretical Electrical Engineering. He obtained his diploma and doctorate in electrical engineering from RWTH Aachen and completed habilitations at the University of Bremen and TU Braunschweig. His career includes academic positions at Fujitsu in Japan, the University of Bremen, Stanford University, TU Braunschweig, and the University of the Federal Armed Forces in Munich. His research focuses on semiconductor device modeling, particularly using the Boltzmann transport equation, noise simulation, SiGe HBTs, THz devices, ReRAM, and cryogenic electronics. He employs deterministic and Monte Carlo methods for advanced TCAD applications. His recent work explores high-harmonic generation in doped silicon, plasma waves, and compact modeling of III-V devices. His publication trend shows sustained leadership in computational electronics, with emphasis on numerical stability, multi-scale modeling, and emerging device technologies for quantum and high-frequency applications. IEEE Paul Rappaport Award (2006) IEEE Fellow (2019) RWTH Teaching Award (2017) He has advised numerous researchers and co-authored extensively with colleagues in device physics and modeling. He has led major projects such as DOTSEVEN and edited special issues on next-generation TCAD. He has also served as co-editor of IEEE Transactions on Electron Devices and contributed to accreditation in engineering education through ASIIN. He leads a research group focused on theoretical electrical engineering, advancing simulation methodologies for next-generation semiconductor devices.

Bo P WangView profile

Professor

• Design optimization
• Finite element methods
• Computational mechanics
• +6 more

Bo P Wang is a Professor in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington's College of Engineering. With a distinguished career spanning several decades, he has established himself as an expert in computational mechanics and structural dynamics with significant contributions to design optimization, vibration analysis, and finite element methods. Dr. Wang received his PhD in Aerospace Engineering from the University of Virginia in 1974, following an MS in Mechanical Engineering from the University of Missouri Columbia (1970) and a BS in Mechanical Engineering from National Taiwan University (1967). His educational background provided the foundation for his extensive research in structural mechanics and computational methods. His research interests focus on design optimization, finite element methods, computational mechanics, vibration, structural dynamics, and image reconstruction for NIR measurements. His work bridges theoretical developments with practical engineering applications, particularly in structural optimization and vibration control. Dr. Wang has developed innovative methods including the semi-analytic complex variable method for sensitivity analysis, which has significantly advanced computational approaches in structural dynamics. His publication record demonstrates consistent contributions to structural dynamics and optimization, with recent work focusing on vibration analysis of complex structures, optimization of damping systems, and mid-frequency structural-acoustic problems. His research shows a clear trajectory from fundamental structural mechanics to sophisticated computational approaches for complex engineering problems. Dr. Wang has received notable recognition including The Halliburton Award for Outstanding Research from UTA's College of Engineering and a Certificate of Recognition from NASA. These awards highlight the significance and impact of his research contributions to the field. As an educator and mentor, Dr. Wang has advised numerous PhD and Master's students, serving as Dissertation Committee Chair for many students including Bret Hauser, Rick Scott, and Mike Henson. His teaching portfolio includes advanced courses in structural dynamics, finite element methods, and design optimization, reflecting his expertise across these core mechanical engineering disciplines. He has also contributed to the academic community through extensive service as a reviewer for major journals including Journal of Sound and Vibration, AIAA Journal, and Structural and Multidisciplinary Optimization.

• Solar-driven (photo)electrochemical energy conversion
• Earth-abundant catalysts
• Scalable electrolyser technology
• +4 more

Dr. Doudou Zhang is a Macquarie University Research Fellow (MQRF) in the School of Engineering, affiliated with the Transforming Energy Markets Research Centre and the Centre for Applied Artificial Intelligence. She holds a PhD in Materials Science from Shaanxi Normal University (2018) and has conducted research at UNSW and ANU. Her research focuses on solar-driven (photo)electrochemical energy conversion, low-cost catalysts, and scalable electrolyser technologies. She has supervised multiple PhD and master’s students, including current advisees Abhishek Vijayan K and Shane Hustwayte. Dr. Zhang has received prestigious awards such as the MQRF (2023) and Best Oral Presentation (2024). She contributes to teaching roles like convenor of ENGG8405 and co-lecturer in MECH3005. Her projects include AI-driven catalyst engineering and solar energy systems. She actively participates in academic leadership, serving as ECR Representative for the School of Engineering and organizing international conferences. Education: PhD (Materials Science, Shaanxi Normal University, 2018), Master’s (Materials Science & Engineering, 2014), Bachelor’s (Polymer Materials, 2012) Research Interests: Electrochemical reaction engineering, functional thin films, renewable energy conversion Projects: 2025 AI-driven catalyst project, 2024 Idea Pitch Her work bridges fundamental materials science with applied energy solutions, emphasizing sustainability and scalability. Recent publications highlight advancements in perovskite solar cells, Ni-based catalysts, and photoelectrochemical systems.

• Functional Oxides
• Energy-Efficient Information Technology
• Thin Film Materials
• +3 more

Dr. Catherine Dubourdieu is a Research Professor and Head of the Institute for Functional Oxides for Energy-Efficient Information Technology at Helmholtz-Zentrum Berlin (HZB). She specializes in functional oxide materials, particularly their integration into energy-efficient information technologies. Her work focuses on thin films of metal oxides, monolithic integration on silicon, and ferroelectric properties for next-generation devices. Education: PhD in Physics, University of Grenoble Postdoctoral Fellowship, Stevens Institute of Technology, NJ, USA Research at Laboratoire des Matériaux et du Génie Physique (LMGP), CNRS, Grenoble Research Interests: Her research explores functional oxides for energy-efficient IT, including ferroelectric materials, thin film characterization, and nanoscale device fabrication. She pioneered monolithic integration of ferroelectric oxides on silicon for low-power logic devices and investigated novel oxide-based memristive systems for neuromorphic computing. Labs & Collaborations: She leads HZB's Functional Oxides Institute, collaborating with global institutions like IBM T.J. Watson Research Center and Okinawa Institute of Science and Technology. Her team develops advanced materials for photovoltaics, energy storage, and CMOS-compatible ferroelectric devices.

• Spintronics
• Condensed Matter Physics
• Materials Science
• +7 more

Evgeny Y. Tsymbal is a Professor in the Department of Physics and Astronomy at the University of Nebraska-Lincoln . His research focuses on spintronics, ferroelectric materials, and electronic structure at oxide interfaces. Expertise in spin-orbit coupling , magnetoelectric coupling , and 2D electron gas Lead researcher in Materials Research Science and Engineering Center (MRSEC) at UNL Recent work explores antiferromagnetic spintronics , ferroelectric control of magnetic skyrmions , and defect engineering in HfO2 . Collaborates extensively on oxide heterostructures and topological materials. Key themes: quantum transport , interface-driven phenomena , and multiferroic devices . Publications highlight spin-valley locking and noncollinear magnetic structures .

Sobhit SinghView profile

Professor

• Novel Quantum Materials
• Theoretical Condensed Matter Physics
• Density-Functional Theory
• +5 more

Professor Sobhit Singh is a faculty member in the Department of Mechanical Engineering at the University of Rochester. He earned his PhD in Physics from West Virginia University in 2018 with the prestigious Distinguished Doctoral Scholarship. After a postdoctoral fellowship at Rutgers University, he joined the University of Rochester in 2022. His research focuses on theoretical investigations of novel quantum materials, including polar metals, ferroelectrics, and 2D materials, with an emphasis on understanding structure-property relationships for practical applications. He collaborates extensively with experimentalists to interpret complex material behaviors. Education: B.Sc. (2011) and M.Sc. (2013) in India; PhD in Physics (2018), West Virginia University. Research interests span theoretical condensed matter physics, density-functional theory, magnetism, and superconductivity. His group develops computational tools like MechElastic for analyzing material properties. Key achievements include predicting high-temperature superconductivity in monolayer Mg2B4C2 and uncovering ferroelectric properties in HfO2. His work has been highlighted in Nature Materials and media outlets like EurekAlert!. Notable awards include the Distinguished Doctoral Scholarship. His research group actively explores strain engineering, topological phases, and machine learning for material design.

David C PaineView profile

Professor

• thin films
• interfaces
• electronic materials
• +5 more

David C Paine is a Professor of Engineering at Brown University's School of Engineering and serves as Director of Molecular and Nanoscale Innovation. He leads research in thin films, interfaces, and electronic materials with a focus on oxide electronics, electron microscopy, and physical vapor deposition technology. He also directs the Brown University Electron Microscope Facility, providing critical infrastructure for materials characterization. Dr. Paine received his BS and MS degrees from the University of Toronto in 1982 and 1984, respectively, followed by his PhD from Stanford University in 1988. His educational background provided the foundation for his extensive career in materials science and engineering. Professor Paine's research centers on amorphous metal oxides with (n-1)d 10 ns 0 (n≥4) electronic configuration for thin film transistor applications. His work focuses on transparent conducting oxides like indium zinc oxide (IZO), indium gallium zinc oxide (IGZO), and related materials that offer superior performance compared to amorphous silicon. His laboratory investigates the relationship between processing conditions, microstructure evolution, and electronic properties of these materials, with particular attention to contact resistance, metallization strategies, and defect mechanisms that affect device performance. Key characterization techniques in his research include x-ray diffraction, electron microscopy, and semiconductor device measurements. Analysis of Professor Paine's recent publications reveals a consistent focus on oxide semiconductor materials, particularly indium-zinc-oxide systems. His work spans fundamental materials science investigations of defect mechanisms and doping to applied research on device fabrication and optimization. A significant portion of his research addresses the critical challenge of contact resistance in oxide semiconductor devices, exploring innovative metallization strategies and interface engineering solutions. His publications demonstrate expertise in both experimental materials synthesis and comprehensive device characterization. Professor Paine teaches courses in electron microscopy (ENGN 2400), thermodynamics of materials (ENGN 2410), properties and processing of electronic materials (ENGN 1450), and crystal structures and crystallography (ENGN 2490A). His teaching portfolio reflects his expertise across materials characterization, thermodynamics, and electronic materials science. As Director of the Brown University Electron Microscope Facility, Professor Paine oversees critical infrastructure for materials characterization. His research collaborations, particularly with Alexander Zaslavsky, Shouheng Sun, and Domenico Pacifici, demonstrate interdisciplinary work spanning materials science, electrical engineering, and chemistry. His research has significant implications for display technology, particularly for organic light-emitting displays that require high-performance transparent electronics.