جست‌وجوی استاد و پژوهشگر

Wei Luمشاهده پروفایل

استاد

• Memristors
• Neuromorphic Computing
• In-Memory Computing
• +۳ مورد دیگر

Wei Lu is the James R. Mellor Professor of Engineering at the University of Michigan with joint appointments in the Department of Electrical Engineering & Computer Science (EECS) and Materials Science & Engineering. He directs the Solid State Electronics Laboratory and leads the Lu Research Group. Lu completed his BS in Physics at Tsinghua University (1996), PhD at Rice University (2003), and postdoctoral research at Harvard University. Research Focus: Lu's work bridges nanoelectronics, materials science, and computing architectures. His research spans: Memristive devices for neuromorphic computing and in-memory processing Nanowire transistors and emerging electronic devices Resistive switching mechanisms in oxides and 2D materials Hardware implementations of machine learning algorithms Crossbar arrays for energy-efficient computation Publication Trends: Analysis of 15 recent publications reveals consistent focus on memristor physics (58% of papers), neuromorphic implementations (42%), and nanoscale characterization (33%). Key evolution includes increased emphasis on full system integration (20%) and commercial applications. Awards & Honors: IEEE Fellow NSF CAREER Award 2022 Distinguished University Innovator Award 2016-2017 David E. Liddle Research Excellence Award 2014-2015 Rexford E. Hall Innovation Excellence Award 2012 EECS Outstanding Achievement Award Commercialization & Leadership: Co-founded Crossbar Inc. (resistive RAM technology) and MemryX Inc. (edge AI chips). Currently advises PhD candidates and postdocs in nanoelectronics and neuromorphic systems, with active NSF and industry-funded projects in memristive computing platforms.

Thomas Lippertمشاهده پروفایل

استاد

• High Performance Computing
• Quantum Computing
• Modular Supercomputing
• +۳ مورد دیگر

Prof. Thomas Lippert is a Professor and Senior Fellow at the Frankfurt Institute for Advanced Studies (FIAS) and holds the chair for Modular Supercomputing and Quantum Computing at Goethe University Frankfurt. He serves as director of the Jülich Supercomputing Centre and holds leadership roles in the John von Neumann Institute for Computing (NIC) and Gauss Centre for Supercomputing (GCS). His research focuses on hybrid quantum-HPC systems, modular supercomputing architectures, and energy-efficient computing. Education: He earned his diploma in Theoretical Physics from the University of Würzburg (1987), followed by PhDs in theoretical physics from Wuppertal University (lattice quantum chromodynamics simulations) and Groningen University (parallel computing with systolic algorithms). Research emphasizes three pillars: energy efficiency, scalable modularity, and AI integration with HPC. Collaborations include Jülich Supercomputing Centre and FIAS. The group recently relocated to Bockenheim campus with a focus on modular datacenter design and non-von-Neumann architectures.

• Harmonic Analysis on Quantum Groups
• Operator Algebras
• Quantum Information Theory
• +۳ مورد دیگر

Jason Crann is an Associate Professor in the School of Mathematics and Statistics at Carleton University. He is affiliated with the Ottawa-Carleton Institute for Mathematics and Statistics (OCIMS), where he contributes to the Joint Analysis Group and the interdisciplinary QUASAR Group, focusing on quantum security through algebra and representation theory. Additionally, he is an Affiliate Member of the Institute for Quantum Computing in Waterloo. His research spans operator algebras, harmonic analysis on quantum groups, and quantum information theory, with a strong emphasis on functional analysis and algebraic structures. Research interests include the interplay between quantum groups and harmonic analysis, operator modules, and applications to quantum information. His work explores topics such as quantum teleportation, state convertibility, and the mathematical foundations of quantum systems. Crann’s articles reflect a focus on advanced theoretical frameworks, including non-commutative theorems, quantum kinematical systems, and algebraic approaches to spacetime reconstruction. While no scientific awards are explicitly listed, his contributions to quantum information theory and operator algebras highlight significant academic engagement. Supervision opportunities are available for students interested in functional analysis and quantum information intersections. Collaborations extend to the QUASAR Group and the Institute for Quantum Computing, emphasizing interdisciplinary research in quantum security and algebraic methodologies.

Michael Gide JABBOURمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Quantum Optics
• Mathematical Physics
• +۶ مورد دیگر

Michael Gide JABBOUR is an Associate Professor in Quantum Communication at Télécom SudParis, part of the Institut Polytechnique de Paris . He is affiliated with the ISTeC institute and the Department of Communications, Images, and Information Processing (CITI). His research focuses on quantum information theory, quantum optics, and mathematical physics, particularly in infinite-dimensional systems. Key areas include entropy continuity bounds, bosonic quantum channels, and quantum interference phenomena. Education and Career: PhD from École polytechnique de Bruxelles (2015), thesis: Bosonic systems in quantum information theory Postdoctoral fellowships at University of Cambridge (2016-2018), Technical University of Denmark (2018-2019), and École polytechnique de Bruxelles (F.R.S.-FNRS Senior Fellow) Joined Télécom SudParis as Associate Professor in 2020 Research Interests: Explores fundamental aspects of quantum information through entropy analysis, Gaussian channels, and bosonic systems. Recent work addresses entanglement engines, timelike quantum interference, and majorization principles in quantum phase space. His studies bridge quantum thermodynamics with mathematical rigor, emphasizing non-Gaussian operations and infinite-dimensional systems. Publications: 15+ peer-reviewed articles and preprints since 2015, including high-impact journals like Physical Review Letters , IEEE Transactions on Information Theory , and Quantum . Key themes include entropy continuity, bosonic Gaussian states, and quantum interference in time. Future Work: Current projects involve boson-fermion complementarity, complexity of Gaussian optics, and central limit theorems for distinguishable bosons. Ongoing collaborations span quantum thermodynamics and foundational entropy principles.

Mike Banadمشاهده پروفایل

دانشیار

• Machine Learning
• Neuromorphic Computing
• Energy-Efficient Hardware
• +۳ مورد دیگر

Mike Banad is an Associate Professor at the University of Oklahoma's College of Engineering, Department of Electrical and Computer Engineering. He focuses on emerging machine learning applications and hardware implementation of energy-efficient neuromorphic computing. Current academic roles: Associate Professor, University of Oklahoma Prior roles: Researcher at Harvard University, Faculty at Southern University (Louisiana), R&D engineer at Samsung Electronics Research interests include secure and energy-efficient AI hardware, neural-inspired hardware acceleration, and co-design of algorithms and hardware using beyond CMOS technologies. He leads the Neuromorphic Intelligent Computing Systems (NICS) lab, which explores materials, devices, and systems for neuromorphic engineering. Prospective students are encouraged to apply by sending their CV and transcripts to his email address. Office: DEH 342. Research lab website: Neuromorphic Intelligent Computing Systems Lab .

Tony Lowمشاهده پروفایل

استاد

• Nanomaterials
• Two-Dimensional Materials
• Spintronics
• +۵ مورد دیگر

Tony Low is the Paul Palmberg Professor in the Department of Electrical and Computer Engineering at the University of Minnesota. His research group specializes in theoretical and computational studies of nanomaterials and nanodevices, with a focus on 2D crystals, topological materials, and magnetic materials for electronics, spintronics, optoelectronics, and plasmonics. Research Interests: Low's work explores multiphysics and multiscale modeling of quantum materials, including strain effects in thin films, light-matter interactions in metasurfaces, spin-orbit torque phenomena, and topological transport effects. His group employs computational tools to design materials and devices with novel properties. Recent Publications highlight advancements in 2D heterostructures, quantum anomalous Hall insulators, and spintronic materials. His team investigates phenomena like Moiré Kramers-Weyl fermions, interfacial polarization, and plasmonic Brewster effects through collaborations with institutions including Columbia University, Stanford University, and Vanderbilt University. Funding & Collaborations: Supported by NSF grants (EFRI, MRSEC), DARPA, DoD, and Intel, Low leads projects on topological plasmons and energy-efficient computing devices. He actively organizes outreach initiatives and maintains partnerships through the Minnesota Nano Center and international institutions.

Francesco Maria Puglisiمشاهده پروفایل

دانشیار

• Resistive Memories
• Neuromorphic Computing
• Device Reliability
• +۷ مورد دیگر

Francesco Maria Puglisi serves as Associate Professor of Electronics at the University of Modena and Reggio Emilia since 2018, leading research in semiconductor device physics with emphasis on emerging memory technologies and neuromorphic systems. His expertise spans characterization, physics-based modeling, and reliability analysis of next-generation electronic devices. His research portfolio prominently features: Resistive Random-Access Memory (RRAM) for non-volatile storage and neuromorphic computing Random Telegraph Noise (RTN) mechanisms in FinFETs and memristors Compact modeling frameworks for device simulation Reliability assessment of 2D materials and III-V semiconductor devices Memory-in-logic architectures enabling non-Von Neumann computation Hardware security applications leveraging device physics Analysis of his 2023-2025 publications reveals a pronounced shift toward in-memory computing solutions, particularly SIMPLY architecture implementations using RRAM/STT-MRAM, alongside deep investigations into ferroelectric device dynamics and RTN-based cryptographic primitives. His work consistently bridges fundamental device physics with practical circuit design for energy-efficient computing. Notable scientific recognitions include: IEEE ICICDT 2013 Best Paper Award for Resistive Memories modeling IEEE ESSDERC 2016 Best Paper Award for RTN in FinFETs IEEE ESSDERC 2019 Best Paper Award for advanced memory characterization Dr. Puglisi has additionally received multiple national awards for academic excellence and research impact. While his advisory activities and grant portfolio aren't detailed in available sources, his extensive publication record demonstrates significant contributions to semiconductor device engineering through both theoretical modeling and experimental validation.

Qiaochu Zhangمشاهده پروفایل

استادیار

• Mixed-Signal VLSI Design
• Electronic Design Automation
• Mixed-Signal Computing
• +۱ مورد دیگر

Qiaochu Zhang serves as Assistant Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, joining in Summer 2024 after industry experience at NXP Semiconductors. His research spans analog/mixed-signal IC design, electronic design automation, and hardware acceleration for complex computational problems. Education: B.S. in Physics (Hons.), Fudan University (2017) Ph.D. in Electrical Engineering, University of Southern California (2024) Research focuses on four interconnected domains: Mixed-Signal VLSI Design : Advanced data converters, frequency synthesizers, and transceivers enabling high-speed wireless systems Electronic Design Automation : Machine learning-driven frameworks for automating analog circuit customization and performance optimization Mixed-Signal Computing : Hardware accelerators for neural networks and NP-hard combinatorial optimization problems Low Power Design : Energy-efficient circuit techniques for portable and embedded applications His publication trajectory (2021-2025) reveals a strategic evolution toward time-domain circuits and analog accelerators, with increasing emphasis on stochastic computing for SAT solvers and memristor-based quadratic programming. Key innovations include ultrafast metastability-resilient solvers and synthesizable TDC architectures that bridge digital precision with analog efficiency. Scientific recognition includes: USC Provost’s Fellowship (2017-2020) USC Ming Hsieh Institute Ph.D. Scholar (2021-2022) IEEE ISSCC Student Travel Grant (2023) IEEE SSCS Predoctoral Achievement Award (2022-2023) Dr. Zhang actively recruits Ph.D. students for his UVA research group, focusing on integrated circuit design and hardware acceleration. Prospective students must apply through UVA's Computer Engineering or Electrical Engineering graduate programs. His research is supported by faculty startup resources and builds on prior industry collaboration with NXP Semiconductors. The research group operates from Rice Hall 309, establishing specialized facilities for mixed-signal/RF circuit prototyping and EDA tool development. Current efforts focus on translating theoretical circuit innovations into practical computing solutions for optimization-intensive applications.

John Goughمشاهده پروفایل

استاد

• Quantum Control
• Quantum Systems
• Open Quantum Systems
• +۳ مورد دیگر

John Gough is a Professor of Mathematics in the Institute of Mathematics, Physics and Computer Science (IMAPS) at Aberystwyth University, serving as the Head of the Department of Physics. He holds a PhD from the National University of Ireland, Dublin (NUI, Dublin). His research focuses on quantum open systems, particularly quantum control, with contributions to the UN Sustainable Development Goals. He has led significant projects funded by the Engineering and Physical Sciences Research Council (EPSRC), Royal Academy of Engineering, and other organizations. Education : BSc, MSc, PhD (NUI, Dublin) Research interests include quantum control, quantum stochastic processes, and the application of mathematical frameworks to quantum systems. Notable projects include the EPSRC-funded "Analysis & Control of Quantum Systems - Measurement, Filtering & Decoherence" and studies on quantum feedback networks. His work integrates theoretical physics with advanced mathematical techniques, such as Hilbert spaces and non-Markovian dynamics. Recent publications explore relativistic quantum stochastic calculus, non-Markovian models, and quantum time travel concepts. He has participated in international conferences and editorial roles, including contributions to Infinite Dimensional Analysis, Quantum Probability and Related Topics . Grants and collaborations span quantum transport, nanophotonic circuits, and interdisciplinary projects with institutions like the British Council. External activities include examining PhD theses and serving as an invited speaker at events like the One-Parameter Semigroups of Operators (OPSO) conference.

Isaac Goldbringمشاهده پروفایل

استادیار

• Model Theory
• Nonstandard Analysis
• Operator Algebras
• +۵ مورد دیگر

Isaac Goldbring is an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago (UIC). His research focuses on model theory, nonstandard analysis, and their applications to operator algebras, geometric group theory, and combinatorial number theory. He holds an NSF CAREER Grant for his work on Model Theory and Operator Algebras. Goldbring co-organized the 2016 Notre Dame Model Theory Program and actively leads seminars on model theory and related topics. His collaborations span mathematicians like Lou van den Dries and Bradd Hart. He has published extensively in journals such as the Annals of Mathematics and Journal of Functional Analysis, addressing foundational problems in logic, operator algebras, and combinatorics. Goldbring's academic journey includes teaching at UCLA and UIC, covering advanced topics like Nonstandard Analysis and Model Theory. His research notably tackles Hilbert's Fifth Problem, Erdős sumset conjectures, and structural properties of II₁ factors. He has contributed to bridging model theory with operator algebras, including reformulations of the Connes Embedding Problem using computability theory. His work frequently employs nonstandard methods to analyze metric structures and topological dynamics. Key scientific awards include the NSF CAREER Grant, reflecting his impactful contributions. His articles explore intersections between pure logic and applied mathematics, such as hyperfinite approximations of graph structures and the model-theoretic analysis of tracial von Neumann algebras. Goldbring's interdisciplinary approach connects foundational mathematical logic with modern algebraic and combinatorial challenges.

Arun Natarajanمشاهده پروفایل

استاد

• Millimeter-Wave Circuits
• Integrated Circuits
• High-Speed Wireless Communication
• +۴ مورد دیگر

Arun Natarajan is a Professor in the Electrical Engineering and Computer Science department at Oregon State University . He leads the High-Speed Integrated Circuits Lab , focusing on millimeter-wave and sub-millimeter-wave integrated circuits for wireless communication and imaging applications. Education: Ph.D., Electrical Engineering, California Institute of Technology (2007) M.S., Electrical Engineering, Caltech (2003) B.Tech., Electrical Engineering, Indian Institute of Technology Madras (2001) His research bridges cutting-edge circuit design with practical applications in high-speed wireless systems, radar imaging, and energy-efficient computing. Current projects involve millimeter-wave phased arrays , self-healing circuits , and compute-in-memory architectures . His work has been recognized with the NSF CAREER Award and DARPA Young Faculty Award . Recent publications highlight advancements in analog correlators , full-duplex receivers , and wideband systems , with applications in 5G/6G communication, radar, and optical networks. He previously worked at IBM T.J. Watson Research Center (2007-2012) and serves on the technical program committee of the IEEE RFIC conference.

Veronika Solopovaمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Social Media Analysis
• AI Ethics
• +۶ مورد دیگر

Veronika Solopova is a researcher at the Quality and Usability Lab, TU Berlin, specializing in natural language processing and AI ethics. Her work focuses on automated content moderation, disinformation detection, and computational analysis of social media phenomena like hate speech, propaganda, and incel movements. She holds a Dr.rer.nat from Free University of Berlin (2024) with research on hybrid AI systems for content analysis. Previously, she completed master’s studies at Sorbonne Nouvelle University and a visiting fellowship at University of Potsdam. Key projects include BMBF-funded PetraKIP (teacher training feedback system) and noFake’s CORRECTIV platform for citizen journalism fact-checking. She has received prestigious awards including the Elsa von Neumann Scholarship (2020) and Truth to Justice Fellowship (2024). Her teaching roles include advanced AI ethics and machine learning courses at FU Berlin, with workshops on LLMs for non-technical audiences. Research areas span multimodal disinformation detection (combining video/text/image analysis), explainable AI (XAI) for lay users, and computational studies of marginalized online groups. Current work emphasizes AI policy frameworks for Germany/Ukraine contexts and developing RAG systems for fact-checking. She collaborates with the German Research Center for Artificial Intelligence (DFKI) Speech and Language Technology Group.

• Complex Photonics
• Nonlinear Dynamics
• Optical Communications
• +۴ مورد دیگر

Dr. Apostolos Argyris is an Associate Professor at the Department of Physics, University of the Balearic Islands (UIB), and a member of the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), a joint UIB-CSIC institute. He holds the Spanish I3 certification with three research merits (sexenios), four teaching merits (quinquenios), and seven trienios of academic experience. His academic background includes: B.Sc. in Physics from Aristotle University of Thessaloniki (1999) M.Sc. in Physics (Microelectronics & Optoelectronics) from University of Crete (2001) Ph.D. in Informatics & Telecommunications from National and Kapodistrian University of Athens (2006) His research focuses on complex photonic systems and nonlinear dynamics, with specific interests in coupled laser networks, chaotic oscillators, neuromorphic information processing, unconventional optical communications, photonic computing, optical chaos applications, and physical random number generation. His work combines theoretical models with experimental photonics to develop next-generation computing and communication technologies. Publication analysis reveals a dominant focus on photonic neuromorphic computing, optical reservoir systems, high-speed fiber communications, and interdisciplinary physics frameworks. Recent works demonstrate increasing emphasis on hardware implementations of machine learning concepts using photonic substrates and silicon devices. Awards and recognitions include: TR35 Young Innovators Award 2006 from MIT Technology Review ERICSSON Award of Excellence in Telecommunications (2006) He leads research projects including: INFOLANET (National Project 2023-2026): Information processing with coupled laser networks POST-DIGITAL Plus (EU Commission 2025-2029): Post-digital computing training network As principal investigator of the consolidated research group 'Fotónica Compleja y Sistemas Neuroinspirados' (FoCo-SiNeu), he directs laboratory activities in neuromorphic photonics and complex systems. He currently supervises doctoral candidates in the Physics PhD program and teaches undergraduate/graduate courses including Medical Physics, Complex Photonics, and General Physics Laboratory.

Raphael Luiz Vicente Fortulanمشاهده پروفایل

مدرس

• Electrical Engineering
• Electronic Engineering
• Materials Science
• +۴ مورد دیگر

Dr. Raphael Luiz Vicente Fortulan is a Lecturer in Electrical and Electronic Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield (UK). He holds an ORCID (0000-0002-1234-5212) and is currently accepting PhD students. His primary affiliation is with the University of Huddersfield where he conducts research at the intersection of materials science and unconventional computing paradigms. His research focuses on: Developing colloidal computing systems using proteinoids, ZnO, and biomaterials Designing reservoir computing architectures with liquid and colloidal processors Implementing Boolean circuits in nanomaterial composites Exploring fault-tolerant computing in hybrid material systems Advancing sustainable computing through biomaterial implementations This work contributes directly to UN Sustainable Development Goals. Dr. Fortulan's recent publications (2024-2025) demonstrate a consistent focus on material-based computing systems. His research explores colloidal suspensions, proteinoid-ZnO composites, and biomaterials as platforms for unconventional computation, with strong emphasis on reservoir computing architectures, Boolean logic implementation, and fault-tolerant system design. The work bridges materials science, nanotech, and computer engineering. He maintains active collaborations with researchers including Adamatzky, Chiolerio, and Raeisi Kheirabadi, focusing on experimental implementations of colloidal computing systems. A dataset on Thermal Colloid Programming is publicly available via Zenodo (DOI: 10.5281/zenodo.15200797).

Felix Leditzkyمشاهده پروفایل

استادیار

• Quantum Information Theory
• Quantum Channels
• Multipartite Entanglement
• +۳ مورد دیگر

Felix Leditzky is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign, affiliated with the Illinois Quantum Information Science and Technology Center (IQUIST). He holds the Lincoln Excellence for Assistant Professors (LEAP) Scholar title and was a David H. Blackwell Scholar from 2023 to 2025. His research focuses on mathematical and computational aspects of quantum information theory, including quantum channels, entanglement, representation theory, and network information theory. He earned his PhD in Mathematics from the University of Cambridge (2017) and completed postdoctoral fellowships at the University of Waterloo’s Institute for Quantum Computing and JILA at the University of Colorado Boulder. His research explores quantum channel capacities, non-additivity problems, multipartite entanglement, and topological methods in quantum information. He has received an NSF CAREER grant (2025) for studying symmetries in noisy quantum systems. Felix teaches advanced courses such as representation-theoretic methods in quantum information and quantum channels. He also organizes conferences like the Rocky Mountain Summit on Quantum Information and serves on editorial boards of journals like Quantum and the Illinois Journal of Mathematics. Key contributions include work on port-based teleportation, quantum resource theories, and unitary designs. His research group includes graduate students in mathematics, physics, and computer science, focusing on quantum communication networks and entanglement quantification. Recent publications highlight advancements in asynchronous quantum processing, multipartite entanglement localization, and fidelity measures for quantum states.