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Yu-Fang ChenView profile

Research Professor

• Program verification
• Automata theory
• String constraint solving
• +3 more

Yu-Fang Chen is a research professor at Academia Sinica, Taiwan, active across premier programming-languages venues such as PLDI, POPL, OOPSLA, SAS, APLAS and VMCAI. His work sits at the intersection of program verification , automata theory and constraint solving , with recent emphasis on quantum-circuit verification and string-number constraint solving . Research interests revolve around rigorous methods to ensure software reliability: developing novel automata models (level-synchronized tree automata, position-constrained string automata), building practical solvers that blend length, substring and numeric constraints, and extending automated reasoning to the quantum domain. His papers consistently introduce new decision procedures, learning algorithms and tool-chains that improve the scalability of static analysis and formal verification. Between 2017 and 2025 he (co-)authored more than a dozen peer-reviewed papers and served on over thirty program committees, including steering and organization chair roles for VMCAI 2026 and SAS 2023 . No doctoral students or funded-grant details are disclosed in the supplied sources.

• Tensor Decompositions
• Quantum Computing
• Fredholm Integral Equations
• +7 more

Patrick Gelß is a Postdoctoral Researcher at Zuse Institute Berlin, working in the AI in Society, Science, and Technology department. He leads the iol.QUANT research group focused on quantum-inspired and tensor-based methods, with affiliations to Freie Universität Berlin and collaborative projects like MATH+ Cluster of Excellence. Diploma in Mathematics/Physics (2013, Freie Universität Berlin) PhD in Mathematics (2017, summa cum laude, Freie Universität Berlin) Postdoctoral roles at Zuse Institute Berlin (2020-present) and CRC 1114 (2017-2022) His research bridges tensor decompositions, quantum computing, and dynamical systems, with notable contributions to: Graph Isomorphism: Continuous optimization approaches via doubly stochastic matrices and Frank-Wolfe algorithms Quantum Simulation: Tensor network representations for quantum circuits and the open-source WaveTrain package KvN Mechanics: Mathematical analysis of existence/uniqueness solutions for bounded domains Fredholm Networks: Novel training paradigms for neural networks using integral equations Scientific achievements include: Developing Scikit-TT for tensor-train computations Organizing major workshops (QML@SC2024, TMQS 2024) Leading the Thematic Einstein Semester 2024 on Mathematics for Quantum Technologies His work spans chemical kinetics, quantum dynamics, and quantum machine learning, with applications to CO oxidation models, exciton-phonon systems, and mutational hierarchies in medicine.

Sebastian H. TrippelView profile

Researcher

• Molecular Physics
• Quantum Dynamics
• Laser-Matter Interaction
• +3 more

Dr. Sebastian H. Trippel is a Team Leader at the Center for Free-Electron Laser Science (CFEL), part of Deutsches Elektronen-Synchrotron (DESY) in Hamburg, Germany. His research focuses on imaging chemical dynamics, particularly internal rearrangement processes of small molecules in the gas phase using advanced laser and imaging techniques. Education: Dissertation at Albert-Ludwigs-Universität Freiburg (2005-2010) Diploma at Albert-Ludwigs-Universität Freiburg (2003-2005) Dr. Trippel's research centers on quantum-state-selected molecules fixed in space with laser fields, studying processes like cis-trans isomerization and laser alignment dynamics. His work employs Coulomb explosion in combination with velocity-map imaging to probe molecular orientation and structural changes upon laser excitation. He specializes in ultrafast molecular dynamics and imaging techniques, with applications spanning atmospheric chemistry, radiation protection, and materials science. His recent publications demonstrate a strong focus on molecular beam injection systems, water dimer dynamics, polycyclic aromatic hydrocarbons, and advanced detector technologies like Timepix3. His research bridges physics, chemistry, and instrumentation, with significant contributions to understanding fundamental molecular processes through innovative experimental approaches. Dr. Trippel leads research efforts at CFEL/DESY, collaborating with numerous international partners across Europe. His team develops sophisticated experimental setups for molecular imaging and dynamics studies, contributing significantly to the field of ultrafast science and advancing capabilities at European x-ray free-electron laser facilities.

• Marketing
• Consumer Behavior
• Business Innovation
• +5 more

Nora Rita Lado Couste is a Full Professor in the Department of Business Administration at Charles III University of Madrid. She leads the Research Group on Company Innovation, Organization and Marketing and is affiliated with the Institute for the Development of Enterprises and Markets (INDEM). Her research integrates marketing, economics, and information science, with emphasis on consumer behavior, innovation, and digital transformation in business contexts. Her work explores: Cross-cultural consumer psychology in co-branding strategies Technology adoption in service industries (e.g., robotics in hospitality) Semantic analysis of social media for marketing insights Market orientation in emerging economies Her publications show consistent focus on adaptive marketing strategies, with recent emphasis on technology-driven consumer interactions during global challenges like COVID-19 and financial crises. Research Projects: Principal researcher for 'Cátedra UC3M-Universia de Economía del Dato y la Inteligencia Artificial' (2024-2026) Led 'Estrategias de marketing y nuevos productos' project (MINECO, 2012-2014) Collaborated on Madrid's educational data innovation initiative (2018-2022) She supervised the thesis 'Three Essays on Social Media Marketing' (2019) and developed educational software 'Quantum: International Marketing Strategic Game'.

Dikran MeliksetianView profile

Adjunct Professor

• Software Engineering
• Cloud Computing
• Machine Learning
• +5 more

Dr. Dikran Meliksetian serves as Adjunct Faculty in the Computer Engineering and Computer Science Department at the University of New Haven's Tagliatela College of Engineering. An accomplished Senior IT Professional with extensive US and international experience, he leverages industry expertise from his tenure as an IBM Senior Technical Staff Member to enrich academic instruction. His educational foundation includes a Ph.D. in Computer Engineering from Syracuse University. Dr. Meliksetian's research spans critical domains including software engineering, cloud computing, machine learning, and artificial intelligence, with significant contributions to geospatial processing, enterprise IT services, grid computing, and quantum technology. His work bridges theoretical frameworks with practical industry applications, particularly in developing scalable architectures and service delivery models. Current involvement in initiatives like the QuantumUp! Challenge demonstrates his commitment to emerging technologies. His publication history reveals an evolution from foundational grid computing research (2004-2006) toward contemporary work in geospatial processing and cloud service transformation (2016-2019), reflecting industry shifts toward distributed systems and AI-driven solutions. Notable recognitions include: IBM Master Inventor status Senior Membership in the ACM Life Membership in IEEE and IEEE Computer Society Portfolio of over 50 patents While specific student names aren't documented, Dr. Meliksetian actively mentors through projects like the QuantumUp! Challenge where students develop quantum technology skills. His extensive patent portfolio and industry-academia transition exemplify significant research impact beyond traditional grant funding structures. As part of the Computer Engineering and Computer Science Department, he contributes to the academic ecosystem by integrating real-world IBM experience with theoretical instruction, particularly in emerging fields like quantum computing where student teams compete in national challenges.

Richard HendersonView profile

Professor

• Structural Biology
• Cryo-electron Microscopy
• Electron Crystallography
• +4 more

Dr. Richard Henderson CH FRS FMedSci HonFRSC is a pioneering British molecular biologist and biophysicist at the MRC Laboratory of Molecular Biology, University of Cambridge. He was a Fellow of Darwin College (1981-2012) and served as Director of MRC LMB (1996-2006). Henderson shared the 2017 Nobel Prize in Chemistry with Jacques Dubochet and Joachim Frank for developing cryo-electron microscopy for high-resolution structure determination of biomolecules in solution. Education : BSc Physics (1st Class Honours, University of Edinburgh, 1966); PhD (University of Cambridge, 1969). Institutional Affiliation : MRC Laboratory of Molecular Biology (since 1973); Yale University (postdoctoral, 1970-1973). Henderson's research revolutionized structural biology by demonstrating that electron microscopy could achieve atomic resolution without crystallization. His work on bacteriorhodopsin (1975) established transmembrane alpha-helices as a common structural feature, while his 1990 atomic model of this protein became the second ever membrane protein structure determined by electron crystallography. Collaborative efforts with Chris Tate on conformational thermostabilization enabled breakthroughs in GPCR crystallography, leading to the formation of Heptares Therapeutics (2007). Key contributions include: 1975 - First 3D structure of a membrane protein (bacteriorhodopsin) by electron microscopy 1990 - Atomic resolution electron crystallography of bacteriorhodopsin 1995 - Early theoretical framework for single-particle cryoEM 2017 - Nobel Prize in Chemistry for cryoEM development Development of direct electron detectors that achieved atomic-level imaging Henderson's scientific awards include: 1978 - William Bate Hardy Prize 1983 - Elected Fellow of the Royal Society 1984 - Sir Hans Krebs Medal 1993 - Louis-Jeantet Prize for Medicine 1998 - Elected Foreign Associate of the US National Academy of Sciences 2016 - Copley Medal of the Royal Society 2017 - Nobel Prize in Chemistry 2018 - Member of the Order of the Companions of Honour As mentor, Henderson trained multiple independent researchers including David Agard (UCSF), Per Bullough (Sheffield), Nikolaus Grigorieff (HHMI Janelia), Christopher Tate (MRC LMB), and Vinzenz Unger (Northwestern University). His current research focuses on advancing single-particle cryoEM for routine atomic structure determination without crystals, emphasizing lower voltage (100 keV) microscopes and improved detector technologies.

• Gravitational Physics
• Numerical Relativity
• Quantum Gravity
• +4 more

Roberto De Pietri is an Associate Professor at the Department of Physics and Earth Sciences within the Faculty of Mathematical, Physical and Natural Sciences at the University of Parma, Italy. He has held this position since March 1, 2015, following 10 years as a Researcher (Assistant Professor) at the same institution. His research focuses on gravitational physics, numerical relativity, and quantum gravity, with particular emphasis on compact objects, gravitational wave phenomena, and computational astrophysics. De Pietri has made significant contributions to numerical simulations of relativistic systems, including neutron star oscillations, binary mergers, and gravitational wave emission. His work bridges theoretical frameworks with high-performance computing applications. Analysis of his recent publications reveals a strong focus on gravitational wave astronomy, particularly in catalog development (GWTC series), multi-messenger follow-up strategies, and computational infrastructure for real-time alert generation. His research spans from fundamental quantum gravity investigations to practical applications in gravitational wave detection pipelines. De Pietri has supervised five PhD students to completion and numerous master's theses, with research topics centered on numerical relativity, gravitational waveforms, and quantum gravity. He has secured substantial computational resources through PRACE projects, including 30 million core hours for neutron star merger simulations. His teaching portfolio includes graduate courses in gravitational physics and undergraduate instruction in general physics and computational methods. He has presented his research at major international conferences including the Marcel Grossmann Meetings and specialized workshops on numerical relativity.

• Quantum Physics
• Physics Education
• Quantum Information Science
• +3 more

Jacob Friis Sherson is a Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Quantum Optics and Photonics. His research focuses on quantum technology education, physics pedagogy, and the development of innovative teaching tools. He leads initiatives like the Quantum Technology Open Master and collaborates across Europe on projects supporting the Quantum Flagship. Research Interests Quantum Physics Education Curriculum Transformation in STEM Interactive Learning Platforms (e.g., Quantum Composer) Hybrid Intelligence in Educational Design Quantum Industry Workforce Development Recent Publications emphasize quantum education frameworks, gamification strategies, and bridging academia and industry through accessible training programs. Labs & Collaborations Sherson works within the Quantum Optics group at the Niels Bohr Institute, partnering with international institutions on EU-wide quantum education initiatives.

Adrian GeppView profile

Professor

• Business Failure Prediction
• Fraud Detection
• Big Data
• +3 more

Adrian Gepp is a Professor at the Bond Business School and a member of the Centre for Data Analytics at Bond University in Australia. His research focuses on applying statistical modeling and data analytics to economic and social challenges, including fraud detection, fintech, health analytics, and business failure prediction. Gepp has published extensively in peer-reviewed journals and conferences, with recent work spanning deep learning in portfolio management, ESG investing, and combating financial crime through AI. Research Interests : Big data, predictive modeling, financial statement fraud, car insurance fraud, quantum algorithms, and cross-border economic models. Professional Affiliations : The Actuaries Institute, American Accounting Association, and Association of Certified Fraud Examiners. Article Trends : His 2025 publications emphasize machine learning applications in finance, fraud analytics, and interdisciplinary data-driven solutions. Earlier works (2024) explore tourism forecasting and research methodology frameworks. Media & Activities : Regularly featured in media discussions on fraud detection, big data, and financial technology. Serves on editorial boards for journals like Accounting and Finance and Journal of Accounting Literature .

Roberto MetereView profile

Lecturer

• Cyber Security and Privacy
• Cryptography
• Provable security
• +8 more

Dr. Roberto Metere is a Lecturer in Cyber Security and Privacy within the Department of Computer Science at the University of York. His research focuses on formal verification of security properties for cryptographic constructions, with applications in cyber-physical systems and 5G/6G security . Expertise in formal verification via computational/symbolic models Current work on cybersecurity in active buildings and post-quantum threats Academic services: Program Committee member for SEC@SAC, ESORICS, and WISE-2024 Collaborator on multi-university projects including ABC and e4Future Developed ProVerif syntax highlight tools and educational resources Research Analysis: His publications emphasize security mechanization in protocols across multiple domains including vehicle-to-grid systems, smart buildings, and wireless network standards. While specific titles aren't always provided in the scraped content, his work consistently bridges cryptography with real-world cybersecurity implementation . Academic Contributions: Though no explicit scientific awards are listed, his role as Designated Expert for 802.11 security patches and Guest Editor for the Energies special issue on smart grid security demonstrate industry-standard technical authority.

• Computational Mechanics
• Quantum Optics
• Photonics
• +3 more

Prof. Xiaoying Zhuang is a faculty member at the Institute of Photonics within the Faculty of Mathematics and Physics at Leibniz University Hannover . She leads research initiatives in the PhoenixD Cluster of Excellence and contributes to the QuantumFrontiers cluster. Her work spans computational mechanics, quantum optics, and machine learning applications in engineering. Research Focus : Computational modeling of material failure, flexoelectric structures, and seismic metamaterials Key Collaborations : Institute of Photonics, PhoenixD Cluster, QuantumFrontiers Recent publications highlight her contributions to data-driven engineering, phase-field fracture modeling, and quantum-enhanced material simulations. Her methodological innovations include variational damage models and machine learning-powered multiscale analysis frameworks.

• Supramolecular Chemistry
• Nanobiomimetics
• Molecular Biophysics
• +4 more

Rebeca Garcia Fandiño is a Full Professor in the Department of Organic Chemistry at the Faculty of Biology, University of Santiago de Compostela. She leads the SupraNanoBioMol research group focused on supramolecular systems, nanobiomimetics and molecular biophysics. Develops cyclodextrin-based therapeutics for age-related diseases Studies cyclic peptide nanotubes for antimicrobial applications Specializes in molecular dynamics simulations of biomolecular systems Her research explores hierarchical membrane structures, water model effects in nanoconfined environments, and membrane-targeted therapies. She has published extensively on: Toxic oxysterol removal using cyclodextrin dimers Antimicrobial D,L-α-cyclic peptide interactions Quantum-classical simulation hybrid approaches Post-COVID condition molecular characterization Augmented reality applications in education The SupraNanoBioMol group at CIQUS center utilizes experimental and computational techniques including DSC, ATR-FTIR and MD simulations. Recent work addresses antimicrobial resistance through membrane disruption mechanisms and AI-driven drug discovery.

Hannes LagemannView profile

Researcher

• Quantum Computing
• Computational Physics
• Supercomputing
• +3 more

Dr. Hannes Lagemann is a researcher at the Jülich Supercomputing Center (JSC), part of Forschungszentrum Jülich (Research Center Jülich GmbH). His work focuses on quantum computing and high-dimensional system simulations , leveraging supercomputing infrastructure for advanced numerical modeling. Institution: Forschungszentrum Jülich Affiliation: Jülich Supercomputing Center (JSC) Role: Researcher His research spans: Quantum computer simulation models Transmon qubit systems Time-dependent Hamiltonian dynamics Error metrics in quantum gates Algorithmic optimization for quantum processors Recent publications highlight his expertise in numerical analysis and computational physics , particularly in simulating flux-tunable transmon systems and benchmarking supercomputers for quantum applications. Contact: h.lagemann@fz-juelich.de | +49 2461/61-6579

• Biophysics
• Computational Biology
• Chemical Reaction Networks
• +6 more

Aayush Arya is a Research Fellow at the Cosmic Dawn Center (DAWN) within the Niels Bohr Institute at the University of Copenhagen . His work bridges theoretical and computational approaches in astrophysics, biophysics, and prebiotic chemistry. Research interests: Computational modeling of protein phase separation and condensate recognition via molecular dynamics and active learning Development of graph-based and network analysis tools for uncovering hidden chemical reactions in prebiotic systems and atmospheric chemistry Application of laser resonance chromatography and mass spectrometry to study cosmic and atomic-scale phenomena Exploring nucleic acid analogs and autocatalytic networks in abiotic environments Recent work highlights include: Investigating the Formose Reaction's emergent behaviors using network analysis and high-resolution mass spectrometry Advancing computational workflows for discovering prebiotic reaction pathways Modeling transport properties in laser resonance chromatography systems

Charuka HerathView profile

Lecturer

• Privacy-Preserving Artificial Intelligence
• Post-Quantum Cryptography
• Cryptography
• +1 more

Charuka Herath holds the following academic positions: Doctoral Researcher at the Institute of Digital Technologies, Loughborough University London Lecturer in Computer Science and Business Studies at Arden University, London Research Contributor to the joint Post-Quantum Cryptography (PQC) initiative with Airbus Endeavour and Cardiff Metropolitan University His research integrates privacy-preserving artificial intelligence with cryptographic innovation, leveraging industry experience from prior roles at Sysco LABS and WSO2 Private Limited. He actively develops quantum-resistant security frameworks within Loughborough's AI and Humanity Research and Innovation Hub, focusing on practical applications for AI systems. Current collaborations with Airbus Endeavour emphasize real-world implementation of post-quantum cryptographic protocols, positioning his work at the intersection of academic research and industrial cybersecurity challenges.