Gunnar Kusch is a Senior Research Associate at the Department of Materials Science & Metallurgy, University of Cambridge. His research focuses on defects in semiconductors, porous AlGaN materials, and advanced characterization techniques like cathodoluminescence (CL) and atom probe tomography (APT). He holds a PhD from the University of Strathclyde and leads projects on UV-B LED optimization, nanoscale defect behavior analysis, and semiconductor device design. His work bridges materials synthesis, characterization, and device performance, with applications in energy-efficient lighting and solar cell technology. Key research areas include: Defect engineering in III-nitride semiconductors Porous AlGaN templates for high-efficiency UV emitters Correlative microscopy techniques (CL, EBSD, APT) Composition-structure-property relationships in photovoltaic materials Notable contributions include developing CL-based methods for nanoscale defect analysis and demonstrating improved Cu(In,Ga)S₂ solar cell efficiencies through compositional engineering. His laboratory focuses on translating microscopic insights into macroscopic device improvements.
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.
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.
Deji Akinwande is a Professor and holds the Cockrell Family Regents Chair in Engineering #8 at The University of Texas at Austin's Chandra Family Department of Electrical and Computer Engineering. He earned his PhD in Electrical Engineering from Stanford University (2009) and an MS in Applied Physics from Case Western Reserve University. His research focuses on 2D materials, nanotechnology, and flexible electronics, with breakthroughs in atomristors, graphene-based biosensors, and wearable electronic tattoos. Key achievements include pioneering work on silicene, being elevated to IEEE Fellow (2021), and receiving the PECASE Award (Obama administration). His lab, the Akinwande Nano Research Group, explores nanoelectronics, bioelectronics, and RF systems for societal applications like health monitoring and 6G communications. Education: PhD, Electrical Engineering, Stanford University, 2009 MS, Applied Physics, Case Western Reserve University Awards: 2021 IEEE Fellow APS Fellow (2017) PECASE Award Moore Inventor Fellowship His research spans neuromorphic computing, flexible sensors, and energy-efficient memory devices. Over 100+ publications highlight his work on graphene, MXenes, and 2D material applications. He co-authored a textbook on carbon nanotubes and graphene (Cambridge University Press, 2011) and serves as an IEEE Distinguished Lecturer and editor for Nature NPJ 2D Materials . Lab and Collaborations: The Akinwande Nano Lab develops scalable 2D electronics, wearable health monitors, and next-gen RF components. Recent grants include NSF CHIPS Act funding and DoD support for 6G switches and neuromorphic hardware.
Dr. Saqib Khursheed is an Assistant Professor in the Department of Electrical Engineering and Electronics at the University of Liverpool, UK. He holds a PhD in Electronics and Electrical Engineering from the University of Southampton (2010), where he later worked as a Senior Research Fellow on EPSRC-funded projects. His research focuses on reliability, testability, and hardware security of low-power/high-performance systems and 3D integrated circuits. He has served in leadership roles at major conferences such as IEEE DFT (General Co-Chair 2018) and ETS (Program Co-Chair 2017). Dr. Khursheed is a Senior Member of IEEE and Fellow of the Higher Education Academy. His professional activities include roles as Guest Editor for IEEE Design & Test (2016) and IET Computers & Digital Techniques (2018). He currently chairs the Examinations Officer committee in his department and serves on multiple university-level committees (Senate Progress, Quality Assurance). He has organized workshops like the Friday Workshop on 3D Integration (2012-2015) and reviews for top-tier journals/conferences in his field. Dr. Khursheed’s funded projects include the eFutures Sandpit Award (2018) for secure microelectronics design. His teaching responsibilities include coordinating modules like Advanced Low Power Computer Architecture (ELEC470) and Digital Electronics & Microprocessor Systems (ELEC211). His research has led to innovations in hardware security (e.g., PCB Trojan detection via machine learning), age estimation of ICs, and fault tolerance in 3D ICs.
Dr. Chih-Hung (James) Chen is a Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on noise-related issues in semiconductor devices, low-noise circuit design for medical and communication applications, and thermal noise characterization in nano-scale transistors. He holds senior member status in IEEE and is a licensed Professional Engineer in Ontario. Education: Ph.D., McMaster University, 2002 M.A.Sc., Simon Fraser University, 1997 B.Sc., National Central University, Taiwan, 1991 Research interests include biomedical technologies, microelectronics & VLSI, and digital/smart systems. He has collaborated with companies like Sony Corporation, United Microelectronics Corporation, and Focus Microwaves. His work is supported by grants from the Canada Foundation for Innovation (CFI), NSERC, and the Ontario Innovation Trust (OIT). Notable achievements include serving on the International Advisory Committee of the International Conference on Noise and Fluctuations (2015) and as an editor for the Journal of Low Power Electronics and Applications since 2022. Teaching includes courses like Analysis and Design of RF ICs for Communications and Electronic Devices and Circuits 2. His research lab focuses on advancing noise measurement techniques and designing ultra-low-power analog circuits for emerging applications.
Dr. Yi Huang is a Senior Lecturer in Climate Science at the School of Geography, Earth and Atmospheric Sciences , University of Melbourne . She holds a Ph.D. in Mathematical Sciences General from Monash University , where her work focused on cloud and precipitation systems over the Southern Ocean. Her research addresses fundamental questions in atmospheric processes, Earth's energy budget, and water cycle dynamics. She specializes in cloud-climate interactions, precipitation systems, geographical variability in atmospheric phenomena, and the application of field observations, remote-sensing data, and numerical modeling to improve weather and climate predictions. The recent Google Scholar articles suggest interdisciplinary work in solar cell materials and semiconductor physics, though this is not explicitly detailed in her official bio. The scientific awards section is currently empty due to no explicit mentions in the provided text. She has not been described as advising students or participating in specific lab teams in the scraped content.
Shenyi Liu is a Doctoral Researcher at Aalto University's Department of Electrical Engineering and Automation , focusing on advanced semiconductor packaging and reliability engineering. Active in the Electronics Integration and Reliability research group, Liu contributes to developing innovative interconnect solutions for MEMS and power electronics. Email: shenyi.liu@aalto.fi Research Interests center on low-temperature bonding technologies , 3D packaging architectures , and failure mechanism analysis in electronic components. Key methodologies include solid-liquid interdiffusion (SLID) bonding and thermal-mechanical stress characterization. Publication Trends show expertise in MEMS integration , interconnect reliability , and power component packaging , with recent work addressing TSV interconnects, die-attach fatigue cracks, and Cu-Sn-In bonding systems. Collaborations span materials engineering and applied physics domains.
Rong Pan is a Professor at the School of Computing and Augmented Intelligence, Arizona State University (ASU). He holds a Ph.D. in Industrial Engineering from Pennsylvania State University (2002), an M.S. from Florida A&M University (1999), and a B.S. in Materials Science from Shanghai Jiao Tong University (1995). His research focuses on quality and reliability engineering, design of experiments, time series analysis, and statistical learning theory. Key projects involve NSF-funded research on reliability prediction, accelerated life testing, and degradation modeling. He serves as an Associate Editor for the Journal of Quality Technology and has authored over 80 publications. Courses taught include Reliability Engineering, Design of Experiments, and Statistics for Data Analysts. His academic service includes roles as a referee for IEEE Transactions and IIE journals. Research interests emphasize statistical methods for reliability improvement, with recent work on Bayesian inference models, optimal experimental design, and machine learning applications in industrial systems. Grants include collaborations with the NSF, Arizona Department of Transportation, and Science Foundation Arizona. His work bridges theoretical advancements and practical applications in manufacturing, energy systems, and semiconductor reliability. Education: Ph.D. (2002), M.S. (1999), B.S. (1995) Key Research Areas: Reliability Engineering, Bayesian Methods, Time Series, DOE Active Grants: NSF CMMI, SUNY IT Visiting Scholar Program Teaching: IEE 573 Reliability Engineering, DSE 501 Statistics Service: Journal of Quality Technology (Associate Editor), IEEE Transactions (Referee)
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.
Raisul Islam is an Assistant Professor of Materials Engineering at Purdue University, with a courtesy appointment in Electrical and Computer Engineering. His research focuses on advanced materials for energy technologies, semiconductor devices, and nanoscale memory systems. He holds affiliations with the College of Engineering and is actively involved in interdisciplinary collaborations. His work emphasizes the development of novel materials and device architectures for applications in solar energy, resistive memory, and neuromorphic computing. Key areas include photovoltaic cell optimization, phase-change memory innovation, and the integration of nanotechnology with electronics. Notable research trends from his publications (2020–2023) highlight advancements in tandem solar cell efficiency, thermal management in resistive memory, and multilevel switching mechanisms in ferroelectric tunnel junctions. His work bridges fundamental materials science with practical device engineering, addressing both performance and scalability challenges. Dr. Islam’s lab focuses on experimental and computational materials characterization, with a focus on thin films, nanoscale interfaces, and energy-efficient electronics. His contributions span academic journals and industry collaborations, targeting next-generation energy and computing technologies.
James S. Speck is the Seoul Viosys Professor of Solid State Lighting in the Department of Materials at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on the materials science of wide bandgap semiconductors such as GaN and β-Ga₂O₃, emphasizing epitaxial growth, defect engineering, and device applications. He holds over 725 publications and has co-founded Soraa, a company commercializing GaN-based lighting technologies. Education: Sc.D. in Materials Science (MIT), S.M. in Metallurgy (MIT), B.Sc.Eng (University of Michigan). Research Interests: GaN-based semiconductors, nitride materials, epitaxial growth mechanisms, nonpolar/semipolar GaN, and β-Ga₂O₃. His work addresses threading dislocations, defect dynamics, and optoelectronic device performance. Awards: IEEE Photonics Society Aron Kressel Award, APS Fellowship, MRS Fellowship, and multiple best paper awards. Key Contributions: Pioneered MBE growth of GaN, developed V-defect engineering for LEDs, and advanced β-Ga₂O₃ research. Collaborates on Soraa’s high-brightness LED technologies. Lab/Teams: The Speck Group studies GaN heterostructures, defect mitigation, and wide bandgap semiconductor applications. Recent work includes V-defect-controlled LEDs and β-Ga₂O₃ etching techniques.
Professor David R. Clarke is the inaugural Extended Tarr Family Professor of Materials at Harvard School of Engineering and Applied Sciences. He is a Senior Fellow of the Hong Kong Institute for Advanced Study (HKIAS) and member of the US National Academy of Engineering. PhD in Physics (University of Cambridge) B.Sc. in Applied Sciences (Sussex University) ScD (University of Cambridge) His research spans fundamentals and applications of ceramics, metals, semiconductors, and polymers, focusing on mechanical properties, thermal barrier coatings, dielectric elastomers, oxidation fundamentals, and microelectronics reliability. Recent work explores electro-adhesive forces and nanopore evolution in yttria-stabilized zirconia. With over 500 publications in journals like Nature and Advanced Materials, Clarke's work has been cited >50,000 times (h-index 107). He holds 13 patents and has advised students across MIT, UC Berkeley, and Harvard. 2008 Japanese NIMS Award 1993 Humboldt Senior Scientist Award Distinguished Life Member, American Ceramic Society Teaching includes undergraduate courses on heat transfer and materials design, plus graduate courses on dislocations and composites. His lab recently worked on quantum dot displays and fatigue crack sensing technologies.
Professor John D. Cressler is a tenured faculty member at the Georgia Institute of Technology, holding a position within the School of Electrical and Computer Engineering in the College of Engineering. His research focuses on cutting-edge semiconductor technologies, particularly silicon-germanium heterojunction bipolar transistors (SiGe HBTs) for mixed-signal applications spanning RF, microwave, mm-wave, analog, and digital domains. His research interests center on atomic-scale bandgap engineering for next-generation semiconductor devices, with emphasis on SiGe HBT technology development, radiation-hardened circuits for space applications, cryogenic electronics, and device-circuit interactions. His team explores fundamental device theory, broadband noise analysis, profile optimization, 2-D/3-D simulation, compact modeling, and radiation effects. Current projects include Europa-surface mission electronics, D-band/sub-THz systems, and radiation-tolerant receiver designs. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on radiation-hardened electronics for space applications (40% of works), millimeter-wave circuit design (30%), and SiGe HBT reliability optimization (30%). Key trends include Europa mission electronics development, D-band/sub-THz circuit innovation, and advanced radiation mitigation techniques using SiGe BiCMOS technology. Professor Cressler teaches multiple courses including ECE 3040 (Microelectronic Circuits), ECE 3450 (Semiconductor Devices), ECE 6444 (Silicon-Based Heterostructure Devices and Circuits), and the interdisciplinary IAC 2002 course on Science, Engineering and Religion. His research is supported by industrial collaborations and Georgia Tech facilities including the Georgia Electronic Design Center (GEDC), NanoTECH, and C-STAR.
Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.
