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Mario StipčevićView profile

Professor

• Quantum optics
• Quantum information
• Quantum communication
• +5 more

Mario Stipčević is a senior scientist at the Ruđer Bošković Institute (RBI) in Zagreb, Croatia, where he heads the Photonics and Quantum Optics Laboratory within the Division of Experimental Physics. Holding the Croatian rank of scientific advisor in permanent position —equivalent to full professor—he has led national and international research efforts spanning quantum optics, quantum-information science, and high-energy neutrino physics. Education 2011–2012: Visiting Specialization in Experimental Quantum Information, University of California, Santa Barbara, USA 2010–2011: Fulbright Scholar, Experimental Quantum Information, University of California, Santa Barbara, USA 1994: PhD in Particle Physics, Université de Savoie, Chambéry, France 1991: BSc in Theoretical Nuclear Physics, Faculty of Science, University of Zagreb Research Interests His work focuses on quantum communication , quantum randomness , single-photon detection , quantum key distribution , and quantum holography . Early in his career he contributed to neutrino oscillation experiments (NOMAD, OPERA) and calorimetry R&D for the LHC. Scientific Awards Fulbright Scholarship (2010–2011) Golden Medal ARCA 2005, Zagreb International Autumn Fair Golden Medal, Salon International de Inventions, Geneva 2005 Young Investigator Award, Ministry of Science and Technology, Croatia (1998) Projects & Leadership Since 2014 he has been Head of the Photonics and Quantum Optics Research Unit at the RBI Centre of Excellence for Advanced Materials and Sensing Devices. Earlier projects include the Croatian Ministry of Science grant Experiments in Quantum Communication and Quantum Information (2007–2014) and World-Bank-funded development of a Quantum Random Bit Generator (2004–2005). Laboratory & Teams At RBI he directs the Photonics and Quantum Optics Laboratory , a multi-disciplinary group developing photon-counting detectors, entangled-photon sources, and quantum-network testbeds. The lab participates in European initiatives such as the European Quantum Internet Alliance and the ESSnuSB neutrino super-beam design study .

Andreas H. HielscherView profile

Professor

• Biomedical Imaging
• Medical Instrumentation
• Biophotonics
• +12 more

Andreas H. Hielscher is Professor and Chair of the Department of Biomedical Engineering at the New York University Tandon School of Engineering. He leads the recently established Department of Biomedical Engineering and directs research in his Clinical Biophotonics Laboratory (CBL). Prior to joining NYU Tandon in summer 2021, he spent 20 years at Columbia University where he chaired the Provost's Tenure Track Advisory Committee and built a distinguished career in biomedical optics research. Dr. Hielscher received his education from the following institutions: Postdoctoral Fellow, Division Biosciences and Biotechnology, Los Alamos National Laboratories (1995-1998) Ph.D., Department of Electrical and Computer Engineering, Rice University (1991-1995) "Diplom" (~Master of Science), Department of Quantum Optics, University of Hannover, Germany (1989-1991) Dr. Hielscher's research focuses on developing optical tomography as a viable biomedical imaging modality for clinical practice. His work centers on creating patient-centered approaches that address modern precision medicine through cutting-edge imaging hardware and software. His team develops technology that provides 3-dimensional distributions of physiologically relevant parameters such as oxygen saturation and total hemoglobin concentrations, including wearable devices for continuous patient monitoring. The Clinical Biophotonics Laboratory applies this technology in clinical and preclinical studies focusing on breast cancer, arthritis, peripheral artery disease (PAD), diabetic foot syndrome (DFS), and real-time brain activity monitoring. Analysis of Dr. Hielscher's recent publications reveals a strong translational research trajectory, moving from fundamental algorithm development to clinical validation across multiple medical specialties. His work demonstrates particular innovation in developing practical, wearable, and non-contact imaging systems that can be readily implemented in clinical settings, with significant contributions to breast cancer monitoring during chemotherapy, vascular medicine (PAD and DFS), and rheumatology (arthritis and lupus). Dr. Hielscher has received research support from multiple prestigious funding sources: National Heart, Lung, and Blood Institute (Grant No. NHLBI-1R01-HL115336) Wallace H. Coulter Foundation Society of Vascular Surgery Columbia University Fu Foundation School of Engineering and Applied Science New York University Tandon School of Engineering Dr. Hielscher's laboratory includes researchers such as Nisha Maheshwari and Alessandro Marone, and maintains strong collaborations with clinicians to develop state-of-the-art biomedical optical imaging technology. The laboratory's recent work has demonstrated significant clinical impact, particularly in the 2022 study that achieved 93% accuracy in predicting wound healing outcomes for peripheral artery disease patients within one month after surgical intervention.

Kun QinView profile

Researcher

• Hardware/Software Codesign
• RISC-V Architecture
• Open-Source Hardware
• +3 more

Kun Qin is a Doctoral Candidate and Research Associate at the Technical University of Munich , affiliated with the IH02 Chair of Computer Architecture and Operating Systems (CAOS) and the I10 Chair of Computer Architecture and Parallel Systems (CAPS). His work focuses on Hardware/Software Codesign , RISC-V Architecture , and Quantum Computing . Current affiliation: Department of Computer Engineering, School of Computation, Information and Technology Research areas: FPGA/ASIC design, quantum-based systems, open-source hardware Teaching: Courses on HDL, Computer Architecture, and Operating Systems (WS23/24–WS24/25) Kun actively participates in academic service as Web Co-Chair for the ACM International Conference on Computing Frontiers (CF'24, CF'25). His research includes FPGA acceleration for RTL verification and quantum control processors. Key scientific achievement: Best Poster Award at SERESSA (2023) . Publications span topics like RISC-V verification frameworks, FPGA-based timing systems, and quantum control processors for superconducting qubits.

• Optical Networking
• Cybersecurity
• Fault-Tolerant Computing
• +3 more

Alfonso Alejandro Sanchez Macian Perez serves as an Associate Professor in the Telematics Engineering Department at Carlos III University of Madrid, specializing in cutting-edge telecommunications and cybersecurity research. His work spans optical networking, fault-tolerant systems, and space applications, with significant contributions to 6G infrastructure development and privacy-preserving data structures. His research focuses on optical networking innovations for next-generation communications, including space-division multiplexing and multi-band migration techniques critical for 6G deployment. In cybersecurity , he investigates vulnerabilities in probabilistic data structures like Bloom filters and KMV sketches, developing countermeasures against privacy attacks. His space systems research addresses radiation-hardened memory architectures and FPGA reliability for spacecraft applications, with emphasis on error correction and fault tolerance. As principal investigator for major projects including FUN4DATE Redes (2023-2026), Agile uLtra Low EnerGy secuRe netwOrks (2023-2026), and PROTEUS-6G (2024-2026), he leads EU and nationally funded initiatives advancing optical transport networks and sustainable high-capacity infrastructure. His publication record shows consistent high-impact output across IEEE Transactions and optical networking journals, with growing emphasis on 6G-enabling technologies since 2021. His laboratory work centers on the Telematics Engineering Research Group at UC3M, collaborating with Telefónica Innovation Digital and European Commission agencies on photonic integrated circuits and non-terrestrial networks. Current efforts focus on programmable optical transport for 6G services and self-managed sustainable optical networks through the SEASON project.

Luca CaucciView profile

Researcher

• Medical Imaging
• Optical Sciences
• Biomedical Imaging
• +6 more

Luca Caucci is an Assistant Research Professor in Medical Imaging at the University of Arizona, affiliated with the Arizona Health Sciences Center (AHSC). His research integrates optical sciences and computational imaging to advance medical imaging technologies, particularly in nuclear medicine and 3D imaging . He has pioneered methods for photon-processing detectors and stochastic modeling in oncology and virology. Research Trends: His publications focus on positron emission tomography (PET) , machine learning for image reconstruction , and radiance sensor development . Key themes include GPU acceleration , list-mode data processing , and statistical decision theory in biomedical imaging. His work addresses challenges in 3D imaging , noise reduction , and task performance optimization . Collaborative Efforts: While the text does not explicitly mention lab teams or grants, his contributions to FastSPECT III calibration and alpha/beta emission tomography suggest active involvement in interdisciplinary projects bridging optical engineering and medical diagnostics .

Vijaykrishnan NarayananView profile

Professor

• Computer Architecture
• VLSI Design
• Energy-Efficient Computing
• +3 more

Vijaykrishnan Narayanan is a Distinguished Professor in the Department of Computer Science and Engineering at Pennsylvania State University . His research focuses on ferroelectric memory systems , energy-efficient computing , and neuromorphic engineering , with applications in deep learning , edge computing , and secure hardware design . He leads projects such as EFRI BRAID (Neuroscience-Inspired Visual Analytics) and FuSe-TG (Heterogeneous Ferroelectronics for Big Data Analytics). Research Interests Compute-in-Memory (CIM) architectures Ferroelectric Field-effect Transistors (FeFETs) Low-power VLSI design Hardware security mechanisms Scientific Contributions Over 707 research outputs and 26 grants Key contributor to UN Sustainable Development Goals via energy-efficient computing NSF grants for projects like Ferro-CoDE (combinatorial optimization) and INSECT NET (entomology-computer science collaborations)

Dimitrios SimosView profile

Senior Lecturer

• Cybersecurity
• Cryptography
• Security Testing
• +5 more

Dimitrios Simos serves as Senior Lecturer and Joint Professor of Cybersecurity in the Department of Information Technologies and Digitalisation at Salzburg University of Applied Sciences (FH Salzburg), with an additional appointment as University Professor for Cybersecurity at the University of Salzburg where he teaches Introduction to Cryptography and IT Security. His research expertise includes: Resilient Security Testing and Web Technologies Security via Interaction Testing Protocol Security Testing for Internet and Industrial Systems Hardware Security with focus on Trojan Detection in Chips Quantum Software Security Implementations Combinatorial Mathematics for Secure Systems Engineering Dynamics Modeling of Natural and Cyber-Disasters Prof. Simos supervises Bachelor and Master students in cybersecurity and software/systems testing, cyberattacks, and mathematical security modeling. His teaching portfolio encompasses Cryptology, IT Security Engineering, Advanced Networking/Security/Privacy topics, and Attack-Defense Simulation labs across multiple degree programs.

• Quantum Computing
• Quantum Open Systems
• Non-equilibrium Statistical Mechanics
• +2 more

Tatsuhiko Shirai is an Associate Professor (non-tenure-track) at the Waseda Institute for Advanced Study, Waseda University, specializing in quantum computing and quantum open systems. His research focuses on developing algorithms for quantum and Ising machines to solve complex combinatorial optimization problems, as well as studying fundamental aspects of non-equilibrium quantum dynamics. His educational background includes: Doctoral Program, Department of Physics, Graduate School of Science, The University of Tokyo (2013-2016) Master's Program, Department of Physics, Graduate School of Science, The University of Tokyo (2011-2013) Bachelor's Degree, Department of Physics, Faculty of Science, The University of Tokyo (2007-2011) Shirai's research spans both theoretical and applied aspects of quantum computing. His primary interests include quantum open systems, where he investigates the dynamics of quantum systems interacting with environments, and quantum computing, where he develops novel algorithms for quantum annealers and Ising machines. His work on non-equilibrium statistical mechanics explores fundamental questions about thermalization in open quantum systems and the emergence of steady states. In practical applications, he has made significant contributions to constrained combinatorial optimization problems, developing techniques like variable reduction methods and multi-spin-flip engineering to improve the performance of quantum and quantum-inspired solvers. His recent publications reveal a strong focus on bridging theoretical quantum physics with practical optimization applications. The research trends show an evolution from fundamental quantum open system theory toward increasingly practical quantum computing applications, particularly in combinatorial optimization. His work spans across quantum simulation, quantum algorithms, Ising machines, and quantum-inspired classical computing approaches, demonstrating a unique interdisciplinary perspective that connects theoretical physics with real-world computational challenges. His notable scientific achievements include: 2022 SLDM Study Group Outstanding Paper Award from the Information Processing Society of Japan 16th Young Scientist Encouragement Award (area 11) from The Physical Society of Japan (March 2022) 197th SLDM Study Group Excellent Presentation Award from the Information Processing Society of Japan (January 2022) Shirai has been actively involved in multiple research projects funded by the Japan Society for the Promotion of Science, including the development of physical property control methods in non-equilibrium quantum open systems (2023-2027), high-performance computing for materials simulation using hybrid quantum-classical algorithms (2021-2024), and construction of analytical methods using typical non-equilibrium steady states (2018-2021). His work has attracted media attention, including coverage on EurekAlert! for his research on multi-spin-flip engineering in Ising machines and novel quantum algorithms for combinatorial optimization. As part of Waseda Institute for Advanced Study, Shirai contributes to an interdisciplinary research environment that fosters innovation at the intersection of physics, computer science, and mathematics. His work on quantum algorithms and quantum open systems forms part of a broader effort to advance both the theoretical foundations and practical applications of quantum information processing.

• Electronic and Computer Engineering
• Non-Volatile Memory
• Neuromorphic Computing
• +15 more

Professor David Wright is a leading academic in the Department of Engineering at the University of Exeter, where he holds the Chair in Electronic and Computer Engineering. He leads major research initiatives in advanced memory and photonic computing technologies and is deeply involved in national and international research strategy. His research focuses on the development of next-generation non-volatile memory devices and active optical metasurfaces, with recent emphasis on neuromorphic computing, in-memory logic, and chalcogenide phase-change materials for applications in LIDAR, multispectral imaging, and optical computing. His work bridges electronics, materials science, photonics, and artificial intelligence. Professor Wright has led high-impact projects such as the €4 million H2020 Fun-COMP initiative and the EPSRC APT-NuCOM project, collaborating with institutions like Oxford, Muenster, IBM, IMEC, and Microsoft. He is Co-Director of Exeter’s Centre for Doctoral Training in Metamaterials and leads the Nano Engineering Science and Technology Group. He is a Fellow of the IET, has published over 350 papers, holds multiple patents, and has successfully supervised over 50 PhD students. His strategic leadership extends to EU and UK government-level reviews of nanoelectronics programs, including ENIAC and ARTEMIS JTIs. Professor Wright maintains extensive collaborations with global electronics firms such as IBM, Micron, Philips, Sony, and Panasonic, as well as emerging companies like PragmatIC and Bodle Technologies. His work also engages with defense and security sectors. Fellow of the IET He has supervised over 50 PhD students to completion and leads a vibrant research group focused on future computing paradigms. His projects are supported by substantial grants from the EU, EPSRC, and industrial partners. He plays a pivotal role in shaping the future of metamaterials and photonic computing through international collaborations, including a major Centre-to-Centre partnership between Exeter and NSF-funded US centers. Professor Wright is a key figure in Exeter’s Centre for Metamaterials Research & Innovation (CMRI) and contributes to the development of integrated photonic systems for AI, such as in the PHOENICS project. His team explores novel materials and device architectures to enable ultra-fast, low-power computing solutions.

Mario BertaView profile

Professor

• Quantum Information Science
• Theoretical Physics
• Quantum Communication Theory
• +3 more

Mario Berta is a Professor of Physics at the Institute for Quantum Information, RWTH Aachen University. He also holds an honorary Visiting Reader position at the Department of Computing, Imperial College London and has previously worked as a Senior Research Scientist at AWS Center for Quantum Computing and a Postdoctoral Researcher at IQIM Caltech. His research focuses on Quantum communication theory Theoretical quantum cryptography Theory of quantum algorithms with recent publications spanning quantum error correction, computational complexity, and quantum simulation techniques. The group actively collaborates on mathematical foundations of quantum information and algorithm development. Current funding sources include European Research Council (ERC) Matter and Light for Quantum Computing (ML4Q) Bundesministerium für Bildung und Forschung (BMBF) RWTH Exploratory Research Space (ERS) EPSRC The group organized the 2025 Workshop on Mathematics of Quantum Information at RWTH Aachen and contributed multiple talks to international conferences including Beyond IID 13 and QIP 2025. Open positions available include senior postdocs, PhD students, and postdocs focused on quantum information mathematics and algorithm theory.

Titouan CaretteView profile

Assistant Professor

• Quantum Computing
• Theoretical Computer Science
• Category Theory
• +3 more

Titouan Carette is an Assistant Professor at École Polytechnique, affiliated with the LIX computer science laboratory and a core member of the PhiQus project—a joint Inria initiative bridging LIX (Computer Science) and CPHT (Theoretical Physics). He also contributes to the BRCP research collective, focusing on theoretical quantum computing through category-theoretic frameworks. His research centers on diagrammatic reasoning for quantum systems, specializing in string diagrams and equational theories to model quantum processes. Key contributions include advancing the ZX-calculus for quantum circuit optimization and developing graphical languages for Gaussian quantum optics, symplectic structures, and fermionic systems. Current work unifies condensed matter physics with symbolic dynamics while formalizing relational interpretations of quantum mechanics through fact-nets . Analysis of his 15 most recent publications reveals a dominant focus on scalable diagrammatic methods for quantum computing, with 70% addressing ZX-calculus extensions and quantum information foundations. His work bridges abstract category theory with practical quantum engineering, emphasizing completeness proofs and graphical simplification techniques applicable to quantum hardware design. Carette operates within École Polytechnique's Alan Turing building in Palaiseau, collaborating through PhiQus to integrate computer science and theoretical physics. His outreach efforts actively promote diagrammatic methods in quantum computing education and research communities.

• Machine Learning
• AI Hardware
• Reliability Analysis
• +4 more

Rodion Novkin is a researcher at the Chair of AI Processor Design (AI-Pro) at Technical University of Munich (TUM). His work bridges machine learning with semiconductor reliability and hardware design, focusing on emerging technologies like neuromorphic computing and RISC-V for AI. Research interests include: Machine Learning for electronic reliability analysis Quantization-aware training techniques for neural networks FeFET/FinFET device degradation modeling ML-driven TCAD (Technology CAD) solutions Quantum computing hardware challenges Approximate computing for edge AI 2023 publications highlight trends in applying ML to semiconductor reliability, graph neural network optimization, and FeFET device modeling. His work spans from device physics to system-level AI implementations. Contact: rodion.novkin@tum.de

Jennifer PaykinView profile

Researcher

• Programming Languages
• Quantum Computing
• Formal Verification
• +7 more

Jennifer Paykin is a researcher affiliated with Intel and previously with Galois, Inc., actively contributing to programming languages and quantum computing since at least 2016. Her work bridges formal verification, quantum circuit design, and type theory, with notable papers on QWIRE, modal types, and higher-inductive quantum lambda calculus. Key affiliations: Intel (current), Galois, Inc. (past) Active in conference committees: PriSC , PLanQC , CoqPL , and TyDe Research interests span programming languages, quantum computing, formal verification, linear logic, and type systems. Her contributions include: Quantum circuit languages (QWIRE) Phantom type applications for quantum programs Modal types in quantum SDKs Formalizing quantum lambda calculus Secure compilation models Higher-inductive type frameworks Trends in publications show increasing focus on quantum software infrastructure (2016–2025), with recurring themes of type-driven quantum verification, circuit compilation, and logical foundations. Key collaborations include work on the SAW scripting language and flow equivalence models.

Edith TretschkView profile

Researcher

• Computer Graphics
• Computer Vision
• Machine Learning
• +5 more

Edith Tretschk is a Research Scientist at Meta Reality Labs Research in the San Francisco Bay Area. She completed her Ph.D. in Computer Science at Saarland University and Max Planck Institute for Informatics (2018-2023), advised by Christian Theobalt . Her work bridges computer graphics , computer vision , and machine learning , with a focus on 3D reconstruction and quantum computing applications. Education Ph.D. in Computer Science (2018-2023), Max Planck Institute for Informatics & Saarland University M.Sc. in Computer Science (2017-2023), Graduate School of Computer Science, Saarland University B.Sc. in Computer Science (2014-2017), Saarland University Research Focus Her research explores 3D reconstruction of dynamic scenes, neural rendering , and quantum computing for vision tasks. Recent work includes time-consistent scene flow (SceNeRFlow), quantum auto-encoders (3D-QAE), and physics-driven template matching (φ-SfT). Article Trends Her publications span 3D vision , quantum algorithms , and neural scene modeling . Key themes include non-rigid deformation, quantum-hybrid approaches, and physics-based reconstruction. Scientific Recognition Bachelor Award (2017) for top CS graduates Deutschlandstipendium scholarship (2015-2017) NeurIPS Top Reviewer (2022) Additional Contributions She has delivered invited talks at World Labs, Meta, Nvidia, and Epic Games. Active as a reviewer for CVPR, ECCV, ICCV, and NeurIPS, she has also contributed to open-source projects and datasets.

• Quantum Science
• Ultracold Atoms
• Quantum Information Science
• +6 more

Travis Nicholson is an Assistant Professor of Physics and Department of Electrical and Computer Engineering member at Duke University , leading the Nicholson Labs within the Duke Quantum Center . His work bridges quantum science and precision measurement through ultracold atom experiments . Education: M.S. (2011) & Ph.D. (2015) from University of Colorado, Boulder Research Interests: Travis pioneers experimental techniques with Group III (triel) atoms to advance quantum computing architectures , atomic clocks , and quantum metrology . His team explores exotic quantum phases , superradiant lasers , and quantum-enhanced devices . Publication Trends: Travis's research spans laser cooling , optical trapping , and quantum state engineering , with a focus on Group III elements since 2022. His work increasingly intersects quantum computing and precision metrology , showing technical advancements in frequency stability and nonlinear optical interactions . Scientific Awards: 2022 NUS Physics Breakthrough Prize (Indium magneto-optical trap achievement) Advising & Collaborations: Travis mentors Ph.D. and M.Sc. students , including recent graduates Jinchao (Ph.D.) and Desiree Lim (M.Sc.). He advises PlanQC , a leading neutral-atom quantum computing company, and contributes to quantum hardware engineering education through courses like PHYSICS 152L9D and ECE 270DL . Labs & Teams: The Nicholson Labs relocated to Duke in 2025, fostering a collaborative environment with activities like Duke basketball outings . The group includes new Ph.D. student Connor Bowerman and emphasizes interdisciplinary research through the Duke Quantum Center .