Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .
Professor Dimitra Kaklamani is a distinguished faculty member at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), where she serves as a Professor in the Division of Information Transmission Systems and Material Technology. With over 300 publications to her name, she has established herself as a leading researcher in microwave engineering, wireless communications, and computational electromagnetics, having progressed through academic ranks from Lecturer (1995) to Professor (2009). Her research spans numerous critical areas in electrical engineering: Microwave Theory and Techniques Wireless Communications and MIMO Systems Computational Electromagnetics Object-Oriented and Distributed Computing Security & Privacy in Networked Systems Machine Learning Applications in Telecommunications Professor Kaklamani's research trajectory demonstrates a natural evolution from traditional microwave engineering toward cutting-edge areas like AI-enabled wireless communications and privacy-preserving network architectures. Her recent work (2023-2025) shows particular focus on intelligent metasurfaces for wireless communications, federated learning applications in next-generation networks, and security aspects of 5G/6G systems. This reflects both continuity with her foundational work in computational electromagnetics and adaptation to emerging technological frontiers. She serves as Editor of an international book by Springer-Verlag (2000) in applied Computational Electromagnetics and regularly reviews for IEEE journals, demonstrating her standing in the scholarly community. Her teaching portfolio is equally comprehensive, ranging from foundational courses like Linear Circuits Analysis to advanced topics such as Computational Electromagnetics and Machine Learning in Mobile Computing, reflecting her broad expertise across electrical engineering disciplines.
Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.
Jean-Luc Autran is an Exceptional University Professor (PRCE2) at Aix-Marseille University, affiliated with the Department of Detection, Radiation and Reliability (DETECT) within the Faculty of Sciences. Since July 2023, he has been temporarily assigned to the University of Rennes for managerial roles. His research focuses on radiation effects in microelectronics, particularly soft errors caused by atmospheric neutrons, muons, protons, and terrestrial radiation in nanoscale devices. Key Research Areas: Microelectronics Reliability, Single-Event Effects, Atmospheric Radiation, Neutron Interactions, Muon Physics, Radiation-Hardened Design. Scientific Leadership: As an Honorary Member of the Institut Universitaire de France (since 2003), he leads multidisciplinary efforts from radiation metrology to multi-physics circuit simulation via tools like GEANT4, SRIM, and NGSPICE. His work spans 25+ years, evolving from quantum transport in nano-MOSFETs (1998-2008) to atmospheric radiation effects (2005-present). Recent Contributions: 2025 studies on ultrawide-bandgap semiconductors, deep learning-based radiation simulations, and JET Tokamak neutron experiments. He pioneers a multi-scale Single-Event Effect simulation framework for decananometer CMOS, integrating particle physics, device modeling, and system-level error rate prediction. Scientific Awards: Honorary Member, Institut Universitaire de France (2003 class). Educational Impact: Teaches graduate courses in quantum mechanics simulation, nanoelectronics reliability, and radiation detection at Aix-Marseille University, with lectures delivered in English for international audiences.
Philippe Baucour is Deputy Director of the Energy Department at FEMTO-ST institute, affiliated with the University of Franche-Comté's Faculty of Sciences, Technology and Management (UFR STGI) in Belfort, France. His research focuses on electrothermal interactions in complex systems, with particular expertise in fuel cell thermodynamics, electrical sliding contacts (especially pantograph-catenary systems), and thermal management of electrical components. His core research areas include: Thermodynamics of low-temperature fuel cells Electrothermal phenomena in electrical contacts and motors Thermal modeling of energy recovery systems Wear and heat generation in sliding electrical interfaces Thermal management strategies for automotive and railway systems Baucour's recent publications demonstrate a strong focus on thermal modeling and experimental validation in electrical systems. His work consistently addresses heat transfer challenges in railway infrastructure (particularly pantograph-catenary interfaces), electrical harness design, and energy conversion systems. There's significant emphasis on developing computational models for thermal prediction and analyzing material behavior in electrical contacts. He leads research within the THERMIE team at the Energy Department, collaborating on projects involving thermal analysis of electrical components, energy recovery systems, and experimental characterization of electrothermal phenomena.
Dr. Alpha Bah is a Senior Research Fellow at the University of Technology Sydney (UTS), School of Electrical and Data Engineering, where he has been employed since 2019. He holds appointments as Senior Research Fellow (March 2022-present), Post Doctoral Research Fellow (December 2019-February 2022), and Research Associate (February-December 2019). He is also a member of the Faculty of Engineering and Information Technology, Global Big Data Technologies Centre (GBDTC), and the School of Electrical and Data Engineering at UTS. Dr. Bah completed his PhD at UTS in 2019, following an MEng from Queensland University of Technology in 2013. His academic journey represents a transition from 17 years of industry experience in telecommunications (1998-2015) at companies including Optus, Telstra, Xstrata, and Thiess, where he gained extensive hands-on experience in network design, installation, and project management. His research focuses on advanced antenna technologies, particularly wideband antenna arrays, metamaterial-enhanced antennas, and RF subsystems. Dr. Bah is recognized as a pioneer in wideband antenna arrays in Australia and a worldwide expert in this field. His work spans theoretical design, fabrication, and extensive measurement of RF subsystems and antennas in both near and far fields, with expertise in electromagnetic simulation software including Ansys HFSS, CST, and ADS. Analysis of Dr. Bah's publication record reveals a consistent focus on enabling wideband operation and wide-angle scanning capabilities in antenna arrays. His research demonstrates innovative approaches to metasurface applications, impedance matching, and feed network design across multiple frequency bands. The publications show a progression from fundamental balun and feed network designs to sophisticated array implementations with exceptional scanning capabilities and bandwidth performance. Multifunction Aperture (MFA) Program funding in collaboration with DSTG Australian Postgraduate Award CSIRO flagship top up scholarship Space Environment Research Centre industry scholarship Reconfigurable Ultrawideband Tightly Coupled Arrays grant CSIRO post graduate top up scholarship Dr. Bah serves as Lead Engineer and Chief Investigator for a highly sensitive multiparty defense project involving 5 universities, 4 industry partners, and the Commonwealth of Australia, which has secured over $3 million in funding for UTS. He is available for Masters/PhD student supervision, collaborative projects, industry projects, advisory committee membership, teaching provision, and career advice. His language capabilities include English (full professional proficiency) and Fulah (full professional proficiency), along with Creoles and pidgins English based.
Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.
Julia Zhang, M.D., Ph.D., is an Academic Clinical Associate Professor in the Division of Hematology and Oncology at the University of Washington School of Medicine. She practices at the Fred Hutchinson Cancer Center at Overlake Cancer Center in Bellevue, Washington, where she provides specialized care in medical oncology and hematology. Dr. Zhang completed her M.D. and Ph.D. training at Sun Yat-Sen University and Washington State University, respectively. She furthered her medical education with a residency in Internal Medicine at SUNY Downstate Medical Center and a fellowship in Hematology-Oncology at the University of Arkansas for Medical Sciences. She is board certified by the American Board of Internal Medicine in Internal Medicine, Hematology, and Medical Oncology. Her clinical expertise encompasses general medical oncology and both benign and malignant hematology. Dr. Zhang's research interests span cancer biology, health disparities in oncology, autoimmune disorders, and liver diseases. She has contributed to significant research in areas including structural racism's impact on cancer mortality, autoimmune hepatitis manifestations related to COVID-19, and primary biliary cholangitis. Dr. Zhang's publication record shows consistent scholarly activity with recent contributions in 2024, 2023, and 2020, demonstrating her engagement with both clinical practice and research. Her work spans multiple disciplines including oncology, hematology, hepatology, and public health, reflecting a broad research portfolio that addresses both specialized medical conditions and broader health system issues. Board Certified in Internal Medicine, Hematology, and Medical Oncology Active researcher with publications in high-impact journals Specialized expertise in complex oncological and hematological conditions Dr. Zhang maintains an active clinical practice at the Fred Hutchinson Cancer Center while contributing to academic medicine through teaching and research. Her work bridges clinical care with scholarly investigation, particularly in areas where social determinants intersect with cancer outcomes.
Philip Taranto is a Lecturer (Assistant Professor) at The University of Manchester's Physics & Astronomy department, where he leads the Quantum Information & Spatiotemporal Phenomena (QuISP) research group. He also serves as an editor for the Quantum journal. Originally from Melbourne, Australia, Taranto completed his undergraduate studies and Masters at Monash University under Dr. Kavan Modi and Dr. Felix A. Pollock, focusing on memory effects in open quantum systems. He then earned his PhD at the University of Vienna under Dr. Marcus Huber, studying quantum thermodynamics and complex temporal correlations. Following this, he held a JSPS Postdoctoral Fellowship at the University of Tokyo in Dr. Mio Murao's group before joining the University of Manchester. Taranto's research centers on quantum complexity, exploring how quantum systems' intricate behaviors can be harnessed for computational advantages. His primary focus areas include quantum information theory, open quantum dynamics, quantum thermodynamics, quantum foundations, correlations & entanglement, stochastic & complex processes, and quantum computation & simulation. His methodological approach heavily relies on the framework of higher-order quantum operations—transformations that act upon transformations themselves—which has proven valuable for developing optimal quantum interactive strategies, clarifying memory effects in open quantum processes, and analyzing foundational notions like causality. He also employs tensor networks, graphical calculus, and semidefinite programming in his research. His recent publications reveal a strong focus on quantum thermodynamics, higher-order quantum operations, and quantum memory effects. Taranto has made significant contributions to understanding the relationship between Landauer's principle and Nernst's unattainability principle in quantum cooling, developing protocols for efficient quantum system cooling with finite resources, and characterizing multi-time quantum processes with classical memory. His work on the quantum switch and higher-order quantum operations has advanced our understanding of quantum causality and indefinite causal order. JSPS Postdoctoral Fellowship (2022-2025) Editor of Quantum Journal (since June 2024) Taranto actively collaborates with multiple research groups globally, including the Murao group at the University of Tokyo, the Huber group at TU Wien, and the Modi group at SUTD Singapore and Monash University. He has worked with prominent researchers such as Simon Milz, Jessica Bavaresco, Marco Túlio Quintino, Felix Binder, Martí Perarnau-Llobet, Patryk Lipka-Bartosik, and Andrea Smirne. He is currently accepting PhD students and encourages collaboration with researchers sharing similar interests. Taranto is also committed to social responsibility, advocating for open science, climate justice, and empowering historically excluded and marginalized groups.
Michele Burrello is an Associate Professor in Condensed Matter Physics at the Niels Bohr Institute, University of Copenhagen. He joined NBI in 2016 and was promoted to Associate Professor in 2021. He is affiliated with the Condensed Matter Theory group (CMT), the Center for Quantum Devices (QDev), and the Niels Bohr International Academy (NBIA). Professor Burrello's primary research interests focus on quantum many-body physics, topological phases of matter, and quantum simulations. His work bridges theoretical physics with experimental implementations, particularly in the realm of quantum computing and quantum information processing. He has made significant contributions to understanding Majorana fermions, topological quantum systems, and quantum simulation techniques using Josephson junctions and related devices. Analysis of his recent publications reveals a strong focus on topological quantum systems, quantum simulation platforms, and the physics of exotic quantum states such as Majorana modes and parafermions. His research often combines theoretical modeling with considerations for experimental implementation, particularly using superconducting circuits and quantum devices. Villum Young Investigator grant (2019) Professor Burrello has received significant research funding through the Villum Young Investigator grant, which supports his work on quantum simulation and topological phases of matter. His research group collaborates extensively with experimental teams working on quantum devices, particularly those involving superconducting circuits and topological materials. He is an active member of the Condensed Matter Theory group at NBI and contributes to the research activities of the Center for Quantum Devices (QDev) and the Niels Bohr International Academy. His work forms part of Copenhagen's strong research ecosystem in quantum physics and quantum information science.
Prof. Kurt Busch is a Professor of Theoretical Optics & Photonics at Humboldt University of Berlin and Group Leader at the Max-Born-Institute, with prior appointments at Karlsruhe Institute of Technology (2005-2011) and University of Central Florida (2004-2005). His research focuses on light-matter interactions in complex photonic systems, spanning quantum technologies to nanoscale optical phenomena. His educational background includes: Diplom in Physics, Universität Karlsruhe (TH), 1993 PhD in Physics, Universität Karlsruhe (TH) and Iowa State University, 1996 Postdoctoral Research, University of Toronto (Prof. Sajeev John), 1997-2000 Busch's research encompasses quantum photonics, nano-photonics, computational optics, photonic crystals, plasmonics, random media, fluctuation-induced phenomena, and Group-IV photonics. His work combines theoretical modeling with computational approaches to investigate light propagation in disordered and nanostructured materials, with applications in quantum information processing and advanced optical devices. Key methodologies include time-domain simulations and quantum electrodynamics frameworks for non-equilibrium systems. Analysis of his 15 most recent publications (2021-2025) reveals dominant trends in quantum optics (40% of articles), non-Hermitian photonics (25%), and computational nanophotonics (35%). Significant subfield intersections include topological protection in quantum states, Casimir-Polder force engineering, and nonclassical light manipulation via waveguide architectures, reflecting his group's focus on bridging fundamental quantum phenomena with photonic device applications. His scientific awards include: Editor-in-Chief, Journal of the Optical Society of America B (2019) Fellow of the Optical Society of America (2012) Carl-Zeiss Research Award (2006) Teaching Award, KIT Department of Physics (2009) Emmy-Noether Fellow, DFG (2000) While current student advising details are not specified in available materials, his Emmy-Noether fellowship (2000-2003) established his independent research group. Current grant activities likely support his Max-Born-Institute collaborations on photonic nanostructures and quantum friction phenomena, though specific projects aren't detailed in the source text. Busch leads the 'Photonic Nanostructures' research group within Humboldt University's Theoretical Optics & Photonics Department, maintaining strong ties to the Max-Born-Institute for collaborative experimental-theoretical work. His team specializes in computational modeling of quantum optical effects in plasmonic systems and topological photonic structures, utilizing high-performance computing resources for electromagnetic simulations and quantum dynamics calculations.
Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.
Yipeng Huang is an Assistant Professor in the Department of Computer Science at Rutgers University, School of Arts and Sciences. His research focuses on building and helping programmers use quantum, analog, and other emerging computer architectures for the post-Moore's Law era of computing. He teaches undergraduate and graduate courses including Computer Architecture (CS 211) and Quantum Computing: Programs and Systems (CS 558/443). Huang actively mentors graduate students and recruits undergraduates for research in quantum computing and computer architecture. His PhD advisees include Zirui Li, Jonathan Garcia-Mallen, Adeeb Kabir, Haoyan Luo, Enhyeok Jang, and Seungwoo Choi, with undergraduate researchers including Pooja Kedia and Winston Li. Huang's research spans quantum computing, computer architecture, and analog computing. His work examines quantum error correction, quantum software development, and hybrid analog-digital systems for scientific computation. He has published extensively on quantum error correction, quantum compilation frameworks, and analog accelerators for solving differential equations and linear algebra problems. Huang's recent publications show a strong focus on practical quantum computing systems, with several 2025 papers on high-dimensional quantum error correction, qudit simulation, and optimized quantum program generation. His work bridges theoretical quantum computing with practical implementation challenges. 2024 ISCA Distinguished Artifact Award for Tetris: A Compilation Framework for VQA Applications in Quantum Computing 2021 MICRO Top Picks honorable mention 2017 MICRO Top Picks honorable mention 2016 MICRO Top Picks Huang serves on program committees for major computer architecture conferences including ISCA, ASPLOS, HPCA, and MICRO. He is actively involved in science education outreach, organizing the Workshop on Broadly Accessible Quantum Computing and serving on committees for the Summer Science Program and FIRST Robotics Competition.
Alexandru Andrei is a Professor of Physics at George Washington University, affiliated with the Department of Physics within the Columbian College of Arts and Sciences. His expertise lies in theoretical nuclear and particle physics, with a focus on lattice quantum chromodynamics (QCD), quantum computing applications to gauge theories, and non-perturbative methods in high-energy physics. Research interests include the study of QCD dynamics at finite temperature, hadron structure (polarizabilities, form factors), and numerical techniques to address challenges in lattice simulations such as the sign problem. He explores novel approaches for quantum algorithms targeting bosonic and fermionic field theories, including qubitization strategies and complex path integration methods. Recent work emphasizes infrared QCD phenomena, pion electromagnetic properties, and the development of efficient computational frameworks for lattice gauge theory and quantum computing. His contributions address fundamental questions in particle physics, such as the nature of the QCD vacuum, quark-gluon dynamics, and the implementation of gauge theories on quantum hardware. Publications since 2023-2024 highlight advancements in polarizability calculations, solutions to variance issues in fermionic systems, and innovative methods for simulating frustrated quantum systems. His research bridges theoretical innovation with computational breakthroughs, aiming to resolve longstanding challenges in both lattice field theory and quantum information science.
Jiangfeng Zhang is an Associate Professor in the Department of Automotive Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. His research focuses on electric vehicle technologies, battery management, renewable energy integration, and smart grid solutions. Research Areas: His work spans battery optimization, grid resilience, autonomous vehicle control, and sustainable energy planning. Recent projects include solid-state battery advancements, V2G integration, and AI-driven energy management. Publication Trends: His articles predominantly address optimization challenges in electric mobility and grid stability, utilizing machine learning, game theory, and control systems. Key themes include decarbonization, cyber-physical security, and renewable integration under uncertainty.
