Wanja Paulsen is a Doctoral Research Fellow in Nuclear and Energy Physics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Her research focuses on experimental nuclear physics, including gamma-ray spectroscopy, nuclear structure studies, and reaction dynamics. She has contributed to projects involving measurements of gamma-decay branching ratios, photoneutron cross sections, and angular momentum generation in fission processes. Her work often involves collaborations on neutron-rich isotopes and the study of phenomena like the Hoyle state, Pygmy dipole resonance, and nuclear fission dynamics. Teaching roles include coordinating 'Writing Science' and assisting in courses like FYS1120 and FYS4505. Her publications span topics from carbon isotopes to tin and germanium isotope behavior, reflecting her expertise in fundamental nuclear processes. Paulsen’s research emphasizes experimental techniques in nuclear physics, with a focus on advancing understanding of nuclear reactions and their implications for astrophysical scenarios such as stellar nucleosynthesis.
Prof. Peter Bürgisser is a Professor in the Institute of Mathematics at Technische Universität Berlin, leading the Research Group on Algorithmic Algebra. His work focuses on computational complexity, invariant theory, algebraic geometry, and probabilistic methods in mathematics. He holds a prominent role in advancing theoretical computer science and algorithmic algebra through his research and publications. Research interests include Algorithmic Algebra, Computational Complexity, Invariant Theory, Optimization, and Probability Theory. His contributions span foundational work in geometric complexity theory, probabilistic algebraic geometry, and efficient algorithms for algebraic problems. Publications highlight his expertise in topics like random fewnomials, nonarchimedean geometry, and polynomial time algorithms for invariant theory. His work is published in top journals such as Journal für die reine und angewandte Mathematik and Foundations of Computational Mathematics . Prof. Bürgisser is actively involved in academic activities, including teaching and advising, though specific student names are not listed in the provided texts. His research has been supported by grants and collaborations with institutions worldwide.
Dr. Raimund Kirner is a Reader in Cyberphysical Systems at the University of Hertfordshire, UK. His research focuses on embedded computing, parallel computing, and real-time systems, with notable contributions to worst-case execution time (WCET) analysis, compiler design for predictability, and cybersecurity. He leads several projects, including the EU-funded CRAFTERS initiative and the FWF-supported SECCO and FORTAS-rt projects. Kirner holds a PhD from TU Vienna (2003) and a Habilitation (2010). He has authored over 100 publications and holds two patents. His work bridges many-core and embedded systems, emphasizing reliability and predictability. Education: PhD in Computer Science, TU Vienna, 2003 Habilitation, TU Vienna, 2010 Research Interests: Kirner's research spans parallel computing architectures, WCET analysis for real-time systems, compiler optimizations for predictability, and cybersecurity in embedded systems. He explores machine learning applications for medical diagnostics (e.g., EEG-based Alzheimer detection) and quantum cryptography frameworks. His work on mixed-criticality systems aims to enhance reliability in automotive and aerospace domains. Grants and Projects: Principal Investigator (CRAFTERS): EU Artemis-JU project addressing multi-core predictability (2012–2015) Co-Investigator (ADVANCE): FP7 project optimizing parallel programs (2012–2015) FWF-funded projects: SECCO (coverage preservation), FORTAS-rt (WCET measurement), and CoSTA (compiler timing predictability) Awards: Two patents granted for innovations in cybersecurity and embedded systems Labs and Teams: Kirner contributes to the Centre for AI and Robotics Research and the Cybersecurity and Computing Systems Group at the University of Hertfordshire. His collaborations include projects with TU Vienna and industry partners like the Technology Strategy Board. Advising: He has supervised one doctoral student, as documented in his Scopus profile, and oversees interdisciplinary research teams in cyber-physical systems.
Giulio Foletto is a postdoctoral researcher at KTH Royal Institute of Technology, affiliated with the Department of Physics under the School of Engineering Sciences. He works in the Condensed Matter Theory unit as part of Professor Katia Gallo's research group, focusing on quantum information science and its practical applications. His research interests include: Quantum Key Distribution Quantum Correlations for Information Protocols Device-Independent Random Number Generation Quantum Technology Development Theory and Experiment in Quantum Information The publications listed reflect recent work in quantum cryptography and quantum information theory, showing a strong trend toward secure communication protocols and foundational aspects of quantum mechanics. His work bridges theoretical modeling with experimental implementation. He has contributed to academic instruction as a teaching assistant for the course Quantum Technology (SK2903) . No scientific awards were mentioned in the provided content. Giulio Foletto is actively involved in research within Prof. Katia Gallo's group, contributing to advancements in quantum communication and information processing. The team focuses on translating quantum theoretical concepts into viable technological applications, particularly in secure communications and randomness generation.
Dr. Tian Xia is a Professor at the University of Vermont in the Department of Electrical and Biomedical Engineering within the College of Engineering and Mathematical Sciences. He received his PhD in Computer Engineering from the University of Rhode Island after completing his B.S. and M.S. in China. PhD: University of Rhode Island M.S.: Nanjing University of Posts and Telecommunications B.S.: Huazhong University of Science and Technology His research focuses on Mixed Signal and RF Circuits , Embedded Systems for Sensing/Communication , and Reconfigurable Computing . He has made significant contributions to Ground Penetrating Radar technology, Physical Unclonable Functions, and wireless sensor networks. Dr. Xia's publications demonstrate expertise in RF Circuit Design , Ground Penetrating Radar Applications , Water Quality Monitoring , and Hardware Security . His work has appeared in top journals like IEEE Transactions on Circuits and Systems, IEEE Sensors Journal, and Journal of Applied Remote Sensing. 3× IBM Faculty Award Recipient Best Paper Award Winner at IEEE System on Chip Conference IEEE Green Mountain Section Leadership Award Excellence in Research Award (2022, CEMS) Outstanding Faculty Award (2025) He serves as Associate Editor for Journal of Electronic Testing and Journal of Circuits, Systems and Computers . Students from his lab have found positions at major tech companies like IBM, Intel, and Qualcomm. His research combines theoretical innovation with practical applications in infrastructure monitoring, biomedical devices, and secure computing.
Jian-Ping Wang is a Distinguished McKnight University Professor and holds the Robert F. Hartmann Chair in the Department of Electrical and Computer Engineering at the University of Minnesota's College of Science and Engineering. His research group, the Nanomagnetism and Quantum Spintronics Lab (Nanospin), is actively engaged in cutting-edge research at the intersection of nanomagnetism, spintronics, and biomedical applications. Professor Wang's research interests span a broad spectrum of nanomagnetic and quantum spintronic phenomena. His work focuses on developing novel magnetic materials with extremely high magnetic anisotropy, giant saturation magnetization, high spin polarization ratio, and large spin-orbit torque. His group investigates applications of these materials in next-generation information storage and computing, biomedical technologies including disease early detection and neuron stimulation, and green energy solutions. Specific research programs include studying L1 0 -FePd materials for scalable spintronics, developing synthetic antiferromagnetic magnetic tunnel junctions, and exploring voltage control of magnetic properties for energy-efficient devices. Analysis of Professor Wang's recent publications reveals a strong emphasis on spin-orbit torque phenomena, voltage-controlled magnetism, and biomedical applications of magnetic nanoparticles. His work bridges fundamental physics with practical applications, particularly in developing energy-efficient spintronic memory and logic devices, magnetic particle imaging for biomedical diagnostics, and micromagnetic neurostimulation technologies. The research shows increasing interdisciplinary collaboration, particularly with neuroscience and biomedical engineering fields. Distinguished McKnight University Professor Robert F. Hartmann Chair NSF Graduate Research Fellowship (awarded to student Onri Jay Benally) Professor Wang has successfully advised numerous PhD students including Dr. Renata Saha (thesis on micromagnetic neurostimulation), Dr. Deyuan Lyu (thesis on advanced perpendicular magnetic tunnel junctions), and Dr. Jianxin Zhu (thesis on molecular dynamics simulation of magnetic thin films). His research is supported by substantial funding from multiple sources including the National Science Foundation, Department of Energy, Western Digital Corporation, and SRC, INC. Current projects include Minnealloy (Critical-Material-Free High-power High-Frequency Transformers), NSF-MeitY: Energy-efficient quantum materials based magnetic tunnel junctions, and Ni 4 W for Energy-Efficient, Field-Free and Ultra-Fast Switching SOT MRAM. Professor Wang leads the Nanomagnetism and Quantum Spintronics Lab (Nanospin), which is affiliated with multiple research centers including the C-SPIN Center, SMART Center, Spin Valley, and Minnesota NeuroSpin Initiative. His lab maintains strong collaborations across disciplines, particularly with neuroscience researchers for developing magnetic neurostimulation technologies and with materials scientists for developing novel magnetic materials. The research group actively participates in the broader spintronics community through these centers and initiatives.
Dr. Oliver Thearle is a Research Fellow in the Quantum Science & Technology Department at the Australian National University's College of Science, specializing in quantum optics within the Quantum Optics Research Group. His work focuses on advancing quantum information systems through experimental implementations of squeezed light and continuous variable quantum protocols. His research interests center on quantum optics applications for secure communication, with particular expertise in squeezed light generation, quantum key distribution, and quantum random number generation. Dr. Thearle has developed innovative approaches for long-term stable squeezed light sources and satellite-based quantum communication systems, bridging theoretical quantum information concepts with practical implementations. Analysis of his recent publications reveals a strong focus on practical quantum communication technologies, particularly in developing robust systems for real-world deployment. His work spans fundamental quantum optics experiments to applied satellite quantum communication, demonstrating both theoretical depth and engineering practicality. Dr. Thearle collaborates extensively with leading researchers in the ANU quantum optics community, including Professor Ping Koy Lam and Dr. Syed Assad, contributing to Australia's significant role in advancing global quantum technologies. His research supports the development of next-generation secure communication infrastructure through quantum information science.
Prof. Dr. Heidemarie Krüger serves as the Head of the Research Department Photonics and Quantum Detection at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. Her work bridges advanced materials science with applied physics and electronics, focusing on photonic and quantum detection systems. Academic Rank: Professor Email: heidemarie.krueger@leibniz-ipht.de Research Interests span photonics, quantum detection, memristor technology, and nanomaterials. She investigates: Electrochemically grown porous platinum for electrocatalysis and optical applications Resistive switching dynamics in multiferroic thin films Magnetooptical properties of ferromagnetic materials Stability enhancements in organic solar cells via amphiphilic additives Memristor-based security solutions like true random number generators Impedance chip development for biochemical monitoring Recent Publications (2024–2025) highlight her interdisciplinary expertise, with trends in: Magnetotransport phenomena in superconductors Optimization of memristive devices for neuromorphic and cryptographic applications Electrochemical and optical engineering of nanostructured materials Stability mechanisms in renewable energy technologies
Sven Rogge is a Professor at the School of Physics, University of New South Wales (UNSW) , specializing in quantum computation and artificial quantum matter. His research focuses on achieving optimal coherence times for quantum gates in silicon-based systems through atomistic understanding of dopant-environment interactions. Research areas include quantum computing with donor atoms, spin coherence optimization, and optical control of quantum systems. He leads a group developing experimental techniques such as low-temperature electron-spin resonance, superconducting microwave cavities, and ultra-high vacuum scanning tunnelling spectroscopy. Research Trends : Recent publications emphasize erbium-based qubits in silicon, photonic quantum networks, and spin coherence enhancement via isotopic enrichment and valley-orbit engineering. Sub-fields span quantum information theory, spintronics, and nanoscale device physics. Grants & Collaborations : His work is associated with Australian Research Council Centres like Exciton Science and Quantum Computing and Communication Technology , indicating multi-institutional partnerships.
Lorenzo De Marinis is an Assistant Professor affiliated with the Italian National Quantum Science and Technology Institute. His research focuses on photonic neuromorphic computing, photonic integrated circuits (PIC), and electro-optic co-design, with applications in quantum computing, machine learning for optical communications, and AI-driven network diagnostics. Primary Fields: Photonics, Neuromorphic Computing, Machine Learning Key Technologies: SOI, InP, LNOI, SiN His recent publications highlight advancements in photonic-electronic integration, noise-resilient neural networks, and energy-efficient optical systems. He has collaborated on projects related to DDoS attack detection, coherent combiners, and failure management in optical networks. While no specific awards or students are mentioned, his work bridges photonic circuit design with practical AI applications in constrained environments.
Dr. José Carlos Dafonte Vázquez is a researcher in the Department of Computer Science and Information Technology at the University of A Coruña's Faculty of Computer Science. His work focuses on artificial intelligence, image processing, and bioengineering applications. Active faculty member since multiple six-year research evaluation periods Teaching roles include Infrastructure Management, Language Processing, and Final Year Projects Research interests span: Quantum key distribution for secure communications Machine learning in astrophysics data analysis IoT-based monitoring systems for IT infrastructure Recent publications focus on: AI applications in astronomical data processing Quantum cryptography implementations IoT environmental monitoring devices Behavioral biometric authentication Key funding sources: EU Horizon Europe program Ministry of Science, Innovation and Universities Galician Xunta regional government National Cybersecurity Institute (INCIBE) He leads projects at the Research Center in Information and Communication Technologies (CITIC) and collaborates with international institutions on Gaia mission data analysis.
Prof. Dr. Sabine Jansen is a Professor at the Mathematical Institute of LMU Munich and leads the Working Group on Stochastics and Financial Mathematics . Her research spans Probability Theory , Quantum Statistical Mechanics , and Mathematical Physics , with a focus on cluster expansions, Gibbs point processes, and duality for Markov processes. Email: jansen@math.lmu.de Phone: +49 (0)89 2180 4477 Address: Theresienstr. 39, D-80333 Munich Affiliations: DFG Collaborative Research Center CRC TRR 352, DFG Priority Program SPP2265, Munich Center for Quantum Science and Technology (MCQST) Her research interests include: Stochastic processes and their applications in financial mathematics Quantum statistical mechanics, particularly many-body systems and their collective phenomena Cluster expansions and virial inversion for low-temperature and non-additive systems Duality and intertwining relations in Markov processes Combinatorial approaches to probability and statistical mechanics Recent publications highlight work on: Large deviations and extreme value theory for Weibull-like variables Algebraic methods in continuum particle systems Geometric constraints in hard-particle mixtures Convergence conditions for cluster expansions Quantum quasi-1D jellium and Coulomb systems Applications of Lagrange inversion in combinatorial species She contributes to educational resources through lecture notes and courses, including topics like Quantum mechanics for probabilists and Jump processes . Her group collaborates with international institutions and participates in major research programs.
Panagiotis Nastou is an Assistant Professor at the Department of Mathematics , University of the Aegean , with research interests in Secure Discrete Systems Modeling, Graph Theory, Cryptography, Design and Analysis of Algorithms , and Complexity Theory . He has been active in teaching courses such as Discrete Mathematics and Cryptography since 2007 and serves as Director of the Applied Mathematics and Mathematical Modeling Laboratory since 2019. Education : Ph.D., MSc., and BSc. in Computer Engineering and Informatics from Patras University. Membership : Center for Applied Optimization (University of Florida), GDPR TEAM, IEEE, ACM, and Hellenic Technical Chamber. His research bridges theoretical computer science and applied security, focusing on cryptographic protocols, algorithm design, and the application of discrete mathematics to real-world problems. He has contributed to the development of secure systems for critical infrastructure and privacy-preserving frameworks in smart cities. Recent publications (2021-2025) emphasize malware evasion , quantum cryptanalysis , and privacy in IoT environments , utilizing formal methods and combinatorial structures. His work also extends to deep learning for document analysis and consensus algorithms in social networks . He has supervised numerous Master's and undergraduate theses in areas like Zero-Knowledge Proofs , Neural Networks , and Cryptographic Boolean Functions . Administrative roles include representation in the ERASMUS+ program and participation in EU-funded project evaluations.
Prof. Dr. Sabine Jansen is a faculty member at the Mathematical Institute of Ludwig Maximilian University of Munich (LMU) . Her research focuses on stochastic processes, statistical mechanics, and quantum systems, particularly through her work in cluster expansions, Gibbs measures, and random geometric systems. She is affiliated with the Working Group on Stochastics and Financial Mathematics and participates in the DFG Collaborative Research Center CRC TRR 352 ( Mathematics of many-body quantum systems and their collective phenomena ) and the DFG priority program SPP2265 ( Random Geometric Systems ). Her office is located at Theresienstr. 39, 80333 Munich (Room 214, Block B, 2nd floor), and she can be contacted at Sabine.Jansen@math.lmu.de or jansen@math.lmu.de . Key Research Areas : Stochastic processes, cluster expansions, quantum statistical mechanics, many-body systems, and probabilistic methods in mathematical physics. Notable Collaborations : DFG-funded projects (CRC TRR 352, SPP2265), Munich Center for Quantum Science and Technology (MCQST), and international collaborations with institutions like Leiden University. Publications : Recent work includes studies on large deviations, intertwinings for continuum systems, virial inversion, and combinatorial approaches to generating functions. Labs & Teams : Leads the Stochastics and Financial Mathematics working group, contributing to quantum systems research at LMU and MCQST.
Yide Zhang is an Assistant Professor of Electrical, Computer & Energy Engineering (ECEE) and Biomedical Engineering (BME) at the University of Colorado Boulder. His research focuses on pioneering optical imaging technologies, including photoacoustic imaging, quantum imaging, and ultrafast imaging, aiming to advance translational research in biomedical diagnostics and engineering. He holds a Ph.D. in Electrical Engineering from the University of Notre Dame and a B.Eng. in Automation from Huazhong University of Science and Technology. His postdoctoral work at Caltech expanded his expertise into quantum imaging and ultrafast phenomena visualization. Key achievements include developing the first Poisson-Gaussian denoising dataset for fluorescence microscopy and pioneering non-invasive photoacoustic imaging techniques. His work has been recognized with awards such as the Seno Medical Best Paper Award and NIH K99/R00 funding. Research interests span: photoacoustic imaging for hemodynamics, quantum imaging via entangled photons, ultrafast imaging of biological and physical processes, fluorescence lifetime imaging, and machine learning applications in microscopy. He leads the Boulder Optical Laboratory for Translational Science (BOLTS), which bridges foundational science with clinical solutions. Major grants include NIH support for developing optical imaging technologies. Notable publications include work in Nature Biomedical Engineering , Science Advances , and Optica . He actively mentors postdocs and students in interdisciplinary research areas such as optics, machine learning, and biomedical engineering.
