جست‌وجوی استاد و پژوهشگر

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +۴ مورد دیگر

Dr. Xiaojun Wang is an Associate Professor at the School of Electronic Engineering, Dublin City University (DCU). He holds a BEng and MEng from Beijing University of Posts and Telecommunications (BUPT) and a PhD from Staffordshire University (UK). His research focuses on energy-efficient networking, hardware acceleration for packet classification/deep inspection, and cryptography algorithms. He has been instrumental in establishing China-Ireland academic collaborations, including the China-Ireland International Conference on Information and Communications Technologies (CIICT), and coordinated a successful joint Telecommunications Engineering program with Wuhan University (2006–2012). He is also a member of DCU's Entwine Research Centre. Key roles include Head of China Affairs at DCU (2002–2007), contributing to institutional partnerships. His technical work spans green energy solutions for networks, quantum computing protocols, and hardware-software co-design for cryptographic systems. He has led projects on edge computing security, vehicular communication optimization, and blockchain-based trust frameworks. Educations: BEng in Computer & Communications, BUPT (1984) MEng in Computer Applications, BUPT (1987) PhD in Engineering, Staffordshire University (1992) Affiliations: Member of Entwine Research Centre Former Head of China Affairs, DCU His recent publications emphasize secure edge computing, quantum steganography, and 5G resource orchestration. He has pioneered energy-efficient router architectures and contributed to standards for vehicular networks and blockchain trust systems.

Konstantinidis Georgeمشاهده پروفایل

استاد پژوهشی

• High Frequency Electronics
• High Power Devices
• Semiconductor Heterostructures
• +۹ مورد دیگر

Dr. Konstantinidis George is a Research Professor and Research Director at the Microelectronics Research Group of the Institute of Electronic Structure and Laser (IESL) at FORTH, Greece. He specializes in high-frequency electronics, semiconductor heterostructures, and advanced sensor technologies. His career spans over three decades at FORTH, where he has held progressively senior roles since 1988. Education: Ph.D. in Solid State Electronics (1988), University of Salford, UK M.Sc. in Solid State Electronics (1985), University of Salford, UK B.Sc. in Applied Physics (1982), University of Salford, UK Research Interests: His work focuses on III-nitride and III-arsenide-based devices, including high-power/high-frequency transistors (FETs, HEMTs), THz diodes, quantum technologies (GaN qubits), and MEMS-based sensors. He explores 2D materials, nanowire transistors, and spin wave computing, with applications in photovoltaics, biosensing, and energy harvesting. Awards: Recipient of the Tudor Tanasescu Prize (2003) Key contributor to EU Descartes Prize-winning projects (2005, 2002) Leadership roles in national and international scientific councils Projects & Grants: European Innovative GaN Advanced Microwave Integration 3D Heterogeneous Integration for RF Power Transceivers Quantum Computing Hardware Technologies Labs/Teams: Leads the Microelectronics Research Group at IESL, collaborating on advanced packaging, 3D system integration, and smart nanoelectronics platforms.

• Embedded Systems
• Multimedia Computing
• VLSI Design
• +۶ مورد دیگر

Professor Hua Harry Li serves in the Department of Computer Engineering at San José State University, teaching specialized courses including Embedded Hardware Systems (CMPE 242), Embedded Software (CMPE 244), and Embedded Wireless Systems (CMPE 245). His academic profile spans semiconductor physics, real-time control systems, and multimedia hardware implementation. Education Background: Doctor of Philosophy, University of Iowa, 1989 Master of Science in Electrical and Computer Engineering, University of Iowa, 1984 Bachelor of Science in Electronics Engineering, Tianjin University, 1981 Graduate Studies in Electronic/Electrical Engineering, Tsinghua University, 1982 Li's research integrates embedded systems with intelligent control methodologies , particularly focusing on fuzzy logic applications in semiconductor manufacturing and neural network implementations for real-time processing. His work bridges theoretical algorithms and hardware constraints, evidenced by publications on vision chips, wafer defect detection, and pH neutralization control systems. The Encyclopedia of Electrical and Electronics Engineering features his contributions to neural fuzzy control techniques for semiconductor equipment. Analysis of his 1993-2005 publications reveals three distinct phases: early neural network applications (1993-1994) in wafer manufacturing and radar systems, mid-career expansion into video compression and vision chips (1995-1997), and mature work on embedded video processing systems (2001-2005). This trajectory demonstrates consistent focus on hardware-constrained intelligent systems while adapting to emerging technologies in wireless communications and multimedia computing. Key Honors: Industrial Neural Network Award (1994 World Congress Neural Network Conference) Who’s Who in Science and Engineering (4th Edition, 1999) Who is Who in America (53rd Edition) Professor Li contributes significantly to academic discourse as Guest Editor for IEEE Transactions on CPMT Special Emerging Technology Section (1994, 1996) and encyclopedia contributor. While specific grant details aren't documented, his sustained publication record and industry-recognized awards indicate substantial research funding, particularly in semiconductor process control and embedded vision systems. His teaching portfolio reflects direct alignment with research expertise through advanced embedded systems courses. Current work appears focused on embedded multimedia hardware systems with practical applications in semiconductor manufacturing and real-time control, though explicit details about active research teams or laboratory facilities aren't provided in available materials.

José Ignacio Latorreمشاهده پروفایل

استاد

• Particle Physics
• Quantum Information
• Quantum Computing
• +۳ مورد دیگر

José Ignacio Latorre is a Professor and Provost's Chair Professor (2024-2027) at the National University of Singapore , affiliated with the Department of Physics. He serves as Director of the Centre for Quantum Technologies (CQT) , leading research in quantum information and particle physics. Current Affiliation: NUS Department of Physics Role: Director of CQT Location: Office S15-03-07, Tel: +65 6516 5102 Research Focus : Quantum Computing Quantum Entanglement Condensed Matter Systems Quantum Algorithms Particle Physics Scientific Contributions : His publications highlight advancements in quantum circuit design, entanglement measurement, and applications to condensed matter systems. Notable work includes developing universal quantum classifiers and exploring multipartite entanglement in spin chains. Awards and Honors : Provost's Chair Professor at NUS (2024-2027)

Adrian M. Ionescuمشاهده پروفایل

استاد

• Nanoelectronic devices
• Nanotechnology
• Steep-slope tunnel FETs
• +۷ مورد دیگر

Adrian M. Ionescu is a Full Professor at the Department of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL). He directs the Nanoelectronic Devices Laboratory (Nanolab) and contributes to the Doctoral Program in Microsystems and Microelectronics. His research bridges nanoelectronics, quantum computing, and biomedical sensing. B.S./M.S. in Electronics, Politehnica University Bucharest Ph.D. in Microelectronics, Politehnica University Bucharest Ph.D. in Physics of Semiconductor Devices, INPG Grenoble Research spans energy-efficient nanoelectronics , steep-slope switches , quantum computing qubits , edge AI sensors , and lab-on-skin wearable systems . Key projects include ERC Advanced Grant Milli-Tech for millivolt technology, DIGIPREDICT for digital twins in healthcare, and Sinergia NeMO for memristors. Recent publications focus on 2025 VO 2 phase-change devices, 2024 graphene biosensors, and 2023 III-V tunnel FETs. Awards include the 2024 IEEE Cledo Brunetti Award , 2017 IEEE George Smith Award , and IBM Faculty Award (2013) . As EPFL doctoral program director, he has guided 10+ PhD students in biosensing, ferroelectric FETs, and neuromorphic systems.

• Quantum Computing
• Quantum Error-Correction
• Quantum Physics
• +۳ مورد دیگر

Campbell McLauchlan is a Postdoctoral Research Fellow in the School of Physics at the University of Sydney. He specializes in theoretical quantum physics, with a focus on quantum computing, quantum error correction, and many-body systems. Education: PhD in Theoretical Quantum Physics from the University of Cambridge, researching quantum computing with Majorana fermions and quantum phases of many-body systems. His research interests include quantum error-correction protocols, fault-tolerant quantum computation, and the application of Majorana fermions in quantum computing. He explores theoretical frameworks for mitigating errors in quantum systems and advancing practical implementations of quantum technologies. McLauchlan’s recent work emphasizes error-corrected quantum gates, dynamical codes for biased noise, and integration of Majorana fermions into surface codes. His publications address challenges such as fabrication defects, hardware optimization, and fault tolerance in quantum systems. He has held roles at Riverlane Ltd as a quantum scientist and at University College London as a postdoctoral researcher. No specific grants or advising details are provided, though his contributions to quantum error correction and topological matter highlight his collaborative and innovative approach to advancing quantum technologies.

Ian Farrerمشاهده پروفایل

استاد مهمان

• Quantum Materials
• Molecular Beam Epitaxy
• Quantum Dots
• +۵ مورد دیگر

Dr Ian Farrer is a Visiting Professor at the University of Sheffield's School of Electrical and Electronic Engineering, affiliated with the Semiconductor Materials and Devices Research Group and the National Epitaxy Facility. He holds a PhD and MSci in Physics from the University of Cambridge. His research focuses on molecular beam epitaxy (MBE), quantum dot growth, and high-purity semiconductor materials for quantum technologies. Notable contributions include pioneering work on electrically driven entangled photon LEDs and quantum teleportation demonstrations. He has published over 370 papers (h-index 45) and leads the UK MBE annual meeting. His expertise spans quantum cryptography, ultra-high mobility GaAs/AlGaAs materials, and novel materials like Zinc Nitride and transition metal dichalcogenides. He employs advanced optical monitoring techniques (reflectivity, band edge thermometry) and X-ray diffraction for thin film analysis. Current projects include site-controlled quantum dot growth using DCA Epitaxy Cluster Tools and hybrid superconducting-semiconducting quantum devices. He previously served as Lecturer and Senior Lecturer at Sheffield until 2025, and currently holds a role as Senior Crystal Growth Expert at Quantum Foundry in Copenhagen, focusing on quantum chip manufacturing. His work bridges academia and industry, emphasizing scalable quantum technologies and epitaxial innovation.

Davide Rattacasoمشاهده پروفایل

پژوهشگر ارشد

• Quantum Information
• Quantum Many-Body Systems
• Adiabatic Quantum Computation
• +۳ مورد دیگر

Davide Rattacaso is a Research Fellow at the University of Padua's Department of Physics and Astronomy, funded by the European Project EuRyQa. His research focuses on quantum information, quantum many-body systems, and developing hardware-aware quantum compilers using tensor network techniques. Current projects include adiabatic quantum computation, inverse problems in quantum systems, resource theory, and information geometry. His work integrates advanced computational methods with theoretical frameworks to address challenges in quantum hardware optimization and quantum dynamics. Key themes across his research include understanding non-equilibrium quantum phenomena and leveraging geometric approaches to analyze quantum complexity and chaos. His contributions span foundational studies on Hamiltonian reconstruction, stabilizer entropy dynamics, and delocalized quantum state evolutions. The research is supported by grants emphasizing practical applications of quantum algorithms and architectures.

Ramesh Karriمشاهده پروفایل

استاد

• Hardware Cybersecurity
• Trustworthy Integrated Circuits
• Cyber-Physical Systems Security
• +۶ مورد دیگر

Ramesh Karri is a Professor and Chair of the Electrical and Computer Engineering Department at New York University Tandon School of Engineering. He co-founded the NYU Center for Cyber Security (CCS) in 2009 and co-directed it from 2016-2024. He is also a Fellow of the IEEE and has led initiatives such as the Embedded Systems Challenge (ESC), a red-blue team cybersecurity competition. Education: Ph.D. in Computer Science and Engineering, University of California, San Diego (1993) B.E. in Electrical and Computer Engineering, Andhra University (1985) Research Focus: His work centers on hardware cybersecurity, including trustworthy integrated circuits, cyber-physical systems, nano-enabled security, and biochip security. He pioneered security-aware CAD tools and has developed metrics for hardware trojan detection through initiatives like the Trust-Hub. Awards & Leadership: Recipient of the Humboldt Fellowship and NSF CAREER Award Editor-in-Chief of ACM Journal of Emerging Computing Technologies Leadership roles at IEEE conferences (ICCD, HOST, DFTS) Grants & Labs: Directs the Center for Advanced Technology in Telecommunications (CATT) and NYU CCS. His labs focus on additive manufacturing security, digital microfluidic systems, and AI-driven hardware design.

• Quantum Computing
• Condensed Matter Physics
• Quantum Simulation
• +۳ مورد دیگر

Lex Kemper is an Assistant Professor of Physics at the NC State College of Sciences, specializing in applying quantum computing to solve complex problems in condensed matter physics. His work focuses on advancing quantum simulation techniques, studying quantum materials like cuprate superconductors, and developing noise-resilient quantum algorithms. He has contributed to theoretical frameworks for understanding electron interactions, quasiparticle dynamics, and the optimization of quantum circuits. His research bridges quantum computing, condensed matter physics, and theoretical chemistry, with applications in quantum machine learning and fault-tolerant quantum systems. Key research interests include quantum state preparation, error mitigation in quantum simulations, and the classification of dynamical systems. He has published extensively on topics such as eigenvector continuation, barren plateaus in quantum circuits, and the simulation of strongly correlated systems using the Fermi-Hubbard model. His work often involves collaborations with experimental physicists to validate theoretical models with advanced spectroscopic techniques like RIXS and ARPES. Notable contributions include frameworks for efficient ground-state preparation, denoising response functions, and the development of geometric quantum machine learning algorithms. His research aligns with the broader goals of leveraging quantum computing to tackle unresolved challenges in condensed matter physics and materials science.

Swamit Tannuمشاهده پروفایل

استادیار

• Quantum Computing
• Computer Architecture
• Systems Design
• +۳ مورد دیگر

Swamit Tannu is an Assistant Professor in the School of Computer, Data, & Information Sciences at the University of Wisconsin-Madison, with a primary appointment in the Department of Electrical and Computer Engineering. He leads the QUEST Research Group, focusing on advancing quantum computing through system-level innovations. His research centers on the architectural and systems-level design of quantum computers, aiming to develop new abstractions, programming models, and tools that enhance the performance, scalability, and usability of both quantum and classical computing systems. The work bridges hardware and software challenges in emerging computing paradigms. The research conducted by Dr. Tannu and his team spans the intersection of computer architecture, quantum information science, and systems engineering. While no publications are listed in the provided text, the focus appears to be on foundational system design for next-generation quantum processors and hybrid computing environments. The following scientific contributions and recognitions have been awarded to Dr. Tannu: No scientific awards listed in the provided text. Dr. Tannu advises students through his QUEST Research Group and is likely involved in securing research grants to support quantum computing initiatives, though specific grant details and advisees are not mentioned in the current profile. He leads the QUEST Research Group, a team dedicated to exploring innovative solutions in quantum computing systems, focusing on architecture, abstraction, and integration with classical computing infrastructure.

Szilard Nagyمشاهده پروفایل

پژوهشگر

• Nuclear Physics
• Precision Mass Spectrometry
• Penning Trap Mass Spectrometry
• +۷ مورد دیگر

Szilard Nagy is a research scientist and group leader at the Max Planck Institute for Nuclear Physics (MPIK) in Heidelberg, affiliated with the Institute of Physics at Johannes Gutenberg University Mainz. He leads the MATS group and is a key contributor to the TRIGA-Trap and TRIGA-SPEC experiments, focusing on high-precision mass spectrometry of exotic nuclides. B.Sc. and M.Sc. from Babes-Bolyai University, Cluj-Napoca, Romania Ph.D. from Stockholm University, Sweden (2001-2005) Postdoctoral research associate at Johannes Gutenberg University Mainz (2006-2008) Recipient of the Alexander von Humboldt Research Fellowship (2006-2007) His research is centered on precision nuclear mass measurements using Penning trap techniques. He investigates transuranium elements , double-beta decay candidates , and fundamental symmetries through high-accuracy mass determinations. His work supports studies in nuclear structure , neutrino physics , and astrophysics . He also contributes to the development of advanced instrumentation such as RFQ coolers , aerodynamic lenses , and quartz resonators for ion traps. The 15 most recent publications show a consistent focus on Penning-trap mass spectrometry , with applications ranging from heavy element research to fundamental decay studies . The work spans experimental physics, instrumentation, and data analysis, often involving international collaborations at facilities like CERN and FAIR. Key themes include ion trapping , beam preparation , Q-value measurements , and detection system optimization . His scientific recognition includes: Research Fellowship from the Alexander von Humboldt Foundation, Germany Nagy has made significant contributions to experimental nuclear physics through both research and instrumentation. He has been involved in numerous grants and collaborative projects, including those supported by the European Union and international academies. His leadership in the MATS group indicates a strong mentoring and advisory role, though specific students are not listed. He continues to advance the field through cutting-edge experiments at the intersection of nuclear and atomic physics. He is actively involved in the MATS (Precision Measurements of very short-lived nuclei using an Advanced Trapping System for highly-charged ions) and LaSpec experiments at FAIR, focusing on high-precision studies using ion traps and lasers. His team develops novel techniques for ion cooling, bunching, and detection to enable measurements on the most exotic nuclei.

B Buchananمشاهده پروفایل

استاد

• Cryptography
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Professor B Buchanan OBE FRSE is a Professor of Cryptography at the University of Edinburgh, based in Edinburgh. His research focuses on cryptography, cybersecurity, blockchain technology, quantum computing, and IoT security. He leads initiatives in post-quantum cryptography, secure IoT architectures, and privacy-preserving machine learning. His work spans theoretical developments and practical implementations, including frameworks for threat intelligence sharing and ethical AI integration in security systems. Research Interests: His core areas include cryptographic algorithm design, quantum-resistant protocols, machine learning in cybersecurity, and secure distributed systems. Recent projects explore homomorphic encryption for financial applications, GANs for anomaly detection, and blockchain frameworks for trust management. He is a vocal advocate for ethical cybersecurity practices and interdisciplinary collaboration. Scientific Awards: He has been awarded the OBE (Order of the British Empire) and is a Fellow of the Royal Society of Edinburgh (FRSE). These honors recognize his contributions to advancing cybersecurity and cryptography in both academic and industry contexts. Labs/Teams: His work is supported by the asecuritysite.com , a platform for cybersecurity research and analysis. Collaborations include EU initiatives on digital governance and industry partnerships in secure manufacturing.

• GPU Programming
• Multi-Core Processors
• Statistical Mechanics
• +۵ مورد دیگر

Prof. Piotr Białas is a Professor of Physical Sciences and Director of the Institute of Applied Informatics at Jagiellonian University. He holds a habilitation in physics from the same institution and has served as department head and faculty member since 1993. His research focuses on GPU programming, multi-core processor optimization, and theoretical physics areas like simplicial gravity and quantum chromodynamics on networks. He has supervised over three doctoral and dozens of master's theses. Current projects include GPU acceleration for medical imaging (J-PET tomograph) and real-time FPGA-based data processing. Education: PhD in Physics (1993), MSc in Physics (1990) from Jagiellonian University. Academic roles include membership in the Academic Council of Technical Informatics and Complex Systems Commission at Polish Academy of Arts and Sciences. Invited professorships at universities in Amsterdam, Bielefeld, Barcelona, and Saclay. Specializes in CUDA optimization, parallel computing, and medical imaging algorithms.

Koutsopoulos Iordanisمشاهده پروفایل

استاد

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +۳ مورد دیگر

Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.