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Ghyslain GagnonView profile

Professor

• Radiofrequency circuits and antennas
• Microelectronics
• Wireless communications
• +4 more

Ghyslain Gagnon is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He leads research activities within the LACIME – Communications and Microelectronic Integration Laboratory, focusing on cutting-edge developments in microelectronics, sensors, and communication systems. His work bridges theoretical research and practical applications across multiple domains including health technologies, wireless communications, and quantum engineering. Education: B.Ing. from École de technologie supérieure M.Ing. from École de technologie supérieure Ph.D. from Université de Carleton Professor Gagnon's research spans several interconnected domains with emphasis on Radiofrequency circuits and antennas, Microelectronics, Wireless communications, Sensors and monitoring systems, Machine learning applications, Health technologies, and Quantum engineering. His work demonstrates a strong commitment to translating theoretical concepts into practical solutions with real-world impact, particularly in the areas of health monitoring systems and advanced communication technologies. His recent publications reveal a clear trajectory toward increasingly interdisciplinary research, combining traditional electrical engineering with machine learning, health monitoring, and quantum technologies. The trend shows growing emphasis on practical applications in automotive safety systems, wireless communications for next-generation networks, and health monitoring technologies that leverage flexible electronics and novel sensor designs. Professor Gagnon has successfully supervised numerous graduate students through their doctoral and master's research, with recent theses focusing on smart hearing protection devices, machine learning applications, energy monitoring systems, and flexible sensor technologies. His supervision record demonstrates consistent productivity and relevance to contemporary engineering challenges. He is an active member of the LACIME research laboratory, which focuses on six key areas: Functional materials, Micro- and nanofabrication processes, Conception and design of integrated circuits, Design and fabrication of hybrid components, Photonic and electronic microsystems, and Signal processing and communication. This environment provides students with access to cutting-edge tools and fosters innovation through interdisciplinary collaboration.

Sonja Isabel VeithView profile

Researcher

• Science Education
• Phenomenography
• Physics Education
• +6 more

Dr. Sonja Isabel Veith is a Scientific Staff member at the Institute for Special Education, Faculty of Philosophy, Leibniz University Hannover. Her work focuses on research and teaching in the fields of scientific and technical education, with a strong emphasis on phenomenography and inclusive didactics. Phenomenographic Research Science Education Physics & Computer Science Teaching Biomedical Optics Artificial Intelligence Applications Educational Background: M.Sc. in Physics (minor: Meteorology), Leibniz University Hannover B.Sc. in Physics (minor: Computer Science), Leibniz University Hannover Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith's research explores children's perceptions of physics concepts like sound, interdisciplinary science education, and racism-critical teaching methods. She has developed innovative didactic approaches for visualizing sound and integrating computational thinking in elementary education. Her publications show a consistent focus on: Phenomenographic analysis of science concepts Physics education in elementary schools Interdisciplinary teaching methods AI applications in sensor data analysis Historical and societal contexts in science Inclusive didactic frameworks Scientific Honors: Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith has collaborated extensively across disciplines, working with institutions such as the Albert Einstein Institute and Laser Zentrum Hannover. Her career spans multiple domains including physics, computer science, biomedical optics, and educational theory.

• Geometric Deep Learning
• Categorical Deep Learning
• Robust Machine Learning
• +1 more

Aman Saxena is a researcher at the Department of Computer Science in the TUM School of Computation, Information and Technology at Technical University of Munich. His work focuses on geometric/categorical deep learning, robust machine learning, and quantum machine learning. Education: M.Sc. Computational Sciences and Engineering (2019-2023) Location: Boltzmannstr. 3, 85748 Garching b. Munich, Germany (Room 00.11.062) Research Interests: Geometric/Categorical Deep Learning Robust Machine Learning Quantum Machine Learning Bayesian Learning Efficient Machine Learning Code Analysis Recent Publications: Certifiably Robust Encoding Schemes (IEEE International Conference on Quantum Computing and Engineering - QCE 2024) Discrete Randomized Smoothing Meets Quantum Computing (IEEE International Conference on Quantum Computing and Engineering - QCE 2024)

Dominik HuberView profile

Researcher

• Dynamic Resource Management in High-Performance Computing (HPC)
• Parallel & Distributed Programming Models
• Hardware-aware Programming
• +6 more

Dominik Huber is a Ph.D. candidate and researcher at the Technical University of Munich , affiliated with the Chair of Computer Architecture & Parallel Systems . His work focuses on Dynamic Resource Management in High-Performance Computing (HPC) , with expertise in Parallel & Distributed Programming Models and Hardware-aware programming . He has actively contributed to teaching courses like Parallel Programming Systems and Advanced Computer Architecture . His research emphasizes adaptive resource allocation in hybrid HPC clusters, leveraging technologies such as MPI Sessions , PMIx , and frameworks like LAIK and XBraid . Recent projects include the DynRes software suite for dynamic resource management and collaborations on quantum-HPC integration. Huber has advised students on topics ranging from Dynamic Resource Management in Charm++ to CI Systems for HPC Software , and his publications address challenges in malleability, scheduling, and power-constrained environments. Current affiliations include participation in the SEANERGYS (EuroHPC) and PlasmaPEPS projects.

Pedro ParedesView profile

Lecturer

• Theoretical Computer Science
• Spectral Graph Theory
• Pseudorandomness
• +3 more

Pedro Paredes is a Lecturer in the Department of Computer Science at Princeton University . He completed his PhD in 2022 at Carnegie Mellon University under Ryan O'Donnell , following undergraduate and master's degrees from the University of Porto where he was advised by Pedro Ribeiro . He received the SEAS Excellence in Teaching Award in 2025. Education PhD, Carnegie Mellon University (2022) MSc & BSc, University of Porto (2017) Research Interests Specializes in Theoretical Computer Science , particularly Spectral Graph Theory , Pseudorandomness , Coding Theory , and Quantum Information Theory Contributes to Subgraph Analysis and Network Science through collaborative works Publication Trends Focuses on Expander Graphs and their applications in Quantum Computing , with recent works on Quantum LDPC Codes and Approximate Unitary Designs Develops algorithms for Spectral Graph Operations and Graph Expansion with mathematical rigor Engages in Interdisciplinary Research connecting Time Series Analysis with network theory Awards SEAS Excellence in Teaching Award (2025) Teaching & Outreach Teaches Algorithms and Data Structures at Princeton Organizes Competitive Programming Club at Princeton Active in Computer Science Education and Math Olympiads

Andrea SimonettoView profile

Research Professor

• Optimization
• Control Theory
• Quantum Computing
• +5 more

Andrea Simonetto is a Research Professor at the Applied Mathematics Unit (UMA) , ENSTA Paris, Institut Polytechnique de Paris. His work spans optimization, control theory, and learning algorithms for large-scale and streaming data , with applications in smart grids, intelligent transportation, personalized health, and quantum computing. Current research focuses on online algorithms for time-varying optimization , personalized optimization for cyber-physical systems , and variational quantum algorithms . Past contributions include theoretical and algorithmic advances in convex/non-convex optimization, distributed optimization (robotic networks, smart grids), and signal processing for sparse reconstructions and parallel computing in particle filtering. Key application domains include renewable energy integration , quantum state preparation , and human-in-the-loop control systems . His research is published in journals like ACM Transactions on Quantum Computing , IEEE Control Systems Letters , and Automatica .

Sihem MesnagerView profile

Professor

• Symmetric Cryptography
• Coding Theory
• Finite Fields
• +10 more

Sihem Mesnager is a University Professor of Mathematics at the University of Paris VIII, affiliated with the Laboratory of Analysis, Geometry and Applications (LAGA) at Paris XIII (CNRS) and the AGC3 research group (Algebra, Geometry, Combinatorics) . She holds an adjunct professorship at Télécom Paris within the MIC2 Mathematics team of the Computer Science and Networks department (INFRES). Her work bridges pure mathematics and applied cryptography, focusing on Boolean functions, bent functions, and coding theory for secure communication and data protection. PhD in Mathematics, University of Pierre and Marie Curie (Paris VI), Sorbonne University (2002) Habilitation (HDR) in Mathematics, University of Paris VIII (2012) Research Interests Dr. Mesnager specializes in symmetric cryptography and coding theory , particularly their applications to secure digital communication, error correction, and post-quantum cryptographic protocols. Her algebraic approach employs finite fields, exponential sums, algebraic geometry, and finite geometry to analyze and construct cryptographic primitives like S-boxes, APN functions, and optimal linear codes. She also investigates algorithmic aspects of computer algebra in these domains. Scientific Awards George Boole International Prize (2020) PEDR Excellence Scientific Award (2019-2022) PEDR Excellence Scientific Award (2014-2017) Publications & Projects Her recent work includes constructing weightwise perfectly balanced Boolean functions for the FLIP cipher, optimizing Inner Product Masking schemes via coding theory, and developing post-quantum secure functional encryption using multivariate cryptography. She has contributed to Reed-Muller codes, BCH codes, and Gaussian sum-based linear codes with one-dimensional hulls, emphasizing their applications in side-channel attack resistance and quantum error correction.

• CMOS integrated circuits
• Computer architecture
• Electrical and electronic engineering
• +12 more

Maurizio Zamboni is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as Student Ombudsman. His academic career spans over three decades with continuous teaching and research contributions in electronics and computing fields. Professor Zamboni's research interests focus on cutting-edge areas including CMOS integrated circuits, computer architecture, quantum computing, semiconductor devices, and VLSI design. His work particularly emphasizes emerging nanotechnologies for digital microelectronic architectures and the design of high-performance or low-consumption processing systems. He has developed expertise in circuit architectures for probabilistic computing, logic-in-memory computing, magnetic devices, and quantum architectures. His recent publications (2021-2025) reveal a strong trend toward quantum computing applications, in-memory processing architectures, and novel approaches to overcoming the memory wall problem. These works span both theoretical algorithm development and practical hardware implementations, with significant focus on quantum annealing, FPGA-based quantum emulation, and memory-mapped processing architectures. Professor Zamboni has been actively supervising PhD students working on quantum computing algorithms, hardware AI accelerators for automotive applications, and quantum-related optimization approaches. He leads research within the VLSILAB Group at DET, focusing on the intersection of nanoelectronics, quantum computing, and advanced computer architectures. His work bridges theoretical computer science with practical electronic design, creating novel solutions for next-generation computing challenges.

• Quantum Mechanics
• Quantum Computing
• Atomic Physics
• +11 more

Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.

Nicole Yunger HalpernView profile

Adjunct Assistant Professor

• Quantum Thermodynamics
• Quantum Information Theory
• Atomic, Molecular, and Optical (AMO) Physics
• +6 more

Nicole Yunger Halpern is an Adjunct Assistant Professor at the University of Maryland’s Department of Physics and Institute for Physical Science and Technology (IPST). She is also a NIST physicist, JQI affiliate, and QuICS Fellow. Her research, termed "quantum steampunk," merges quantum information theory with 19th-century thermodynamics to address modern scientific challenges. Education: B.Sc., Dartmouth College (covaledictorian) M.Sc., Perimeter Institute for Theoretical Physics Ph.D., California Institute of Technology (supervised by John Preskill) Her work spans atomic, molecular, and optical (AMO) physics; condensed matter; chemistry; high-energy physics; and biophysics. Publications highlight quantum thermodynamics, phase estimation, and complexity theories. Recent Research Trends: Articles (2025–2024) explore topics like non-Abelian symmetry , quantum scrambling , and autonomous quantum machines , reflecting interdisciplinary applications from lattice gauge theories to superconducting qubits. Scientific Awards: Ilya Prigogine Prize for thermodynamics dissertation ASPIRE Young Researcher Award (US nominee) She contributes to the Maryland Quantum-Thermodynamics Hub, funded by a $2 million Templeton Foundation grant, and leads the Quantum-Steampunk Laboratory .

Harshad Kumar Dharamshi Hansraj BhadeshiaView profile

Professor

• Metallurgy
• Phase transformations in steel
• Computational modeling
• +12 more

Sir Harshad Bhadeshia is a renowned Indian-British metallurgist and Professor of Metallurgy at Queen Mary University of London since 2022. Previously, he held the Emeritus Tata Steel Professorship at the University of Cambridge, where he worked from 1980 until his move to Queen Mary. His research focuses on the theory of solid-state transformations in multicomponent steels , aiming to create novel alloys and processes with minimal resource use. Education: BSc from City of London Polytechnic, PhD from University of Cambridge (1980) under David V. Edmonds Research Areas: Phase transformations in steel, computational modeling, neural networks, Bainite, welding technology, hydrogen embrittlement resistance, nanostructured materials Scientific Awards: Bessemer Gold Medal (2006), Hume Rothery Prize (1992), Rosenhain Medal (1994), Knight Bachelor (2015), Adolf Martens Medal (2017), William Menelaus Medal (2025) Editorial Roles: Editor for Materials Science and Engineering: A , Materials Science and Technology , and Science and Technology of Welding and Joining Students: Roger Reed, Rachel Thomson His Google Scholar publications (over 650) cover topics in metallurgy, phase transformations, computational modeling, hydrogen resistance, and AI in materials science, with a significant emphasis on Bainite, welds, and nanostructured steels. The SKF University Technology Centre (2009-2019) and Computational Metallurgy Laboratory (2005-18) highlight his leadership in industrial collaborations and international research. His scientific awards and fellowships (Royal Society, Royal Academy of Engineering, Institute of Materials, Minerals and Mining) underscore his global recognition.

• Quantum Physics
• Condensed Matter Physics
• Spintronics
• +3 more

Dr. András Pályi is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics, and Head of the HUN-REN-BME-BCE Quantum Technology Research Group. His work bridges quantum computing, spintronics, and condensed matter physics, focusing on spin-phonon interactions, topological quantum systems, and semiconductor nanostructures. Quantum Computing Spintronics Topological Insulators Quantum Materials Recent publications highlight his research on quantum error correction , spin qubit control , non-Abelian Berry phases , and Weyl point stability , with applications in nanomechanical resonators and Majorana qubit architectures. His group explores spin-orbit coupling, acoustic phonons, and lattice reorientation mechanisms in quantum systems. Contact: Office F III. mfszt 6, palyi.andras@ttk.bme.hu , +36 1 463 4109

Aws AlbarghouthiView profile

Researcher

• Program Synthesis
• Formal Verification
• Quantum Computing
• +5 more

Aws Albarghouthi is affiliated with the University of Wisconsin-Madison, USA. He is an active researcher with significant contributions to program synthesis, formal verification, and machine learning. Key roles: Author, Session Chair, Committee Member in conferences like PLDI, POPL, VMCAI, SPLASH, and ICFP. Research spans quantum computing, differential privacy, and static analysis. Research Trends include: Quantum Circuit Compilation and Optimization Probabilistic Verification of Fairness and Privacy Synthesis of Datalog and MapReduce Programs Neural-Augmented Static Analysis Bias Detection in Data Security Robustness in Machine Learning

• Integrated optics
• Nanocrystals
• Nanomaterials
• +11 more

Lorenzo Pavesi is a Full Professor of Experimental Physics at the Department of Physics, University of Trento (Italy), where he leads the Nanoscience Laboratory with 25 members. His academic career spans over 30 years, including roles as Assistant Professor (1990), Associate Professor (1999), and Full Professor (2002). He founded semiconductor optoelectronics research at the university and established photonics laboratories focused on growth and advanced treatment of materials. Research Focus: Silicon photonics, quantum optics, nonlinear optics, optical sensors, and neuromorphic computing. Leadership: IEEE Italian Chapter on Nanotechnology founder, editorial board member for Frontiers in Physics , ETRI Journal , and Sensors . His work bridges photonics and electronics, with recent advancements in integrated quantum photonics and neuromorphic systems. He has managed numerous national and international projects, holds 9 patents, authored over 500 papers, and edited 15+ books. Awards include the Cavaliere title (2001), IEEE Distinguished Speaker (2010-2011), and fellowships from IEEE, SPIE, and SIF.

Robert LipshitzView profile

Professor

• Low-dimensional topology
• Symplectic geometry
• Heegaard Floer homology
• +3 more

Robert Lipshitz is a Professor of Mathematics at the University of Oregon, specializing in low-dimensional topology and symplectic geometry. He is currently on leave for the 2025-2026 academic year to serve as the Minerva Visitor in the Mathematics Department at Princeton University, where he will deliver a series of lectures on recent techniques in low-dimensional topology. His research has significantly advanced the fields of Heegaard Floer homology and Khovanov homology, with numerous publications in top mathematics journals. Dr. Lipshitz's research primarily focuses on developing and applying bordered Heegaard Floer homology and Khovanov homology to solve problems in low-dimensional topology. His work bridges geometric topology with algebraic structures, providing powerful new invariants for studying 3- and 4-dimensional manifolds. He has made significant contributions to understanding connections between different homology theories and their applications to classical problems in knot theory and 4-dimensional topology, often combining deep geometric insights with sophisticated algebraic techniques. Dr. Lipshitz's recent publications demonstrate a consistent focus on refining and extending homological invariants in low-dimensional topology, particularly through the development of bordered techniques and stable homotopy refinements. His work shows increasing sophistication in connecting different branches of topology, with recent papers exploring applications to contact geometry, equivariant settings, and the detection of topological properties through algebraic invariants. Dr. Lipshitz has received numerous prestigious awards and fellowships supporting his research: NSF Graduate Research Fellowship NSF Mathematical Sciences Postdoctoral Research Fellowship Sloan Research Fellowship Simons Foundation Fellowship in Mathematics Multiple NSF research grants (DMS-0905796 through DMS-2505715) Dr. Lipshitz actively contributes to the mathematical community through editorial work as an editor for Quantum Topology and managing editor for Geometry & Topology. He serves as editor for chapter 3 of the K3 List, continuing Kirby's problem lists in low-dimensional topology. He has mentored numerous students, though specific names aren't listed on his website, and has developed computational tools including documentation for bfh_python, which implements algorithms for computing Heegaard Floer homology. Dr. Lipshitz is deeply involved in the topology community, frequently organizing the University of Oregon topology seminar. He has created educational resources on using Blender for mathematical illustrations and is developing tools for the mathematical community, including tutorials on creating line drawings for mathematics papers using 3D graphics software. He is also planning a conference at Princeton in Summer 2027 honoring Peter Ozsváth's 60th birthday.