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Rolf DrechslerView profile

Professor

• Computer Science
• Formal Verification
• Circuit Design
• +3 more

Rolf Drechsler is a Full Professor and Head of the Group of Computer Architecture at the University of Bremen since 2001, with additional role as Director of the Cyber-Physical Systems Group at DFKI Bremen since 2011. He holds a Dr. phil. nat. in computer science from Johann Wolfgang Goethe University Frankfurt and has held academic positions at Albert-Ludwigs University Freiburg and Siemens AG. Education: Diploma and Dr. phil. nat. in Computer Science (Johann Wolfgang Goethe University Frankfurt, 1992-1995) Previous Roles: Albert-Ludwigs University Freiburg (1995-2000), Siemens AG Munich (2000-2001) His research focuses on formal verification , circuit/system design , and data structures for hardware validation . He has pioneered work on polynomial verification methods, BDD-based synthesis, and quantum computing verification frameworks. Recent publications analyze memristor-based in-memory computing, RISC-V security, and LLM-assisted hardware validation. Key awards include ACM Fellow IEEE Fellow Berninghausen Teaching Award (2018) Multiple best paper awards at ICCAD, DATE, DAC, and DDECS He serves as Associate Editor in journals like IEEE Transactions on CAD and ACM Journal on Emerging Technologies. He co-founded the Graduate School of Embedded Systems and Data Science Center at University of Bremen.

• Game Design
• Digital Games
• Game-Based Learning
• +3 more

Edward Alan Morrell is a Lecturer at Aalto University , affiliated with the Life-Wide Learning department. His work bridges game design, digital games, and educational technology. Recent publications highlight his focus on: Game-based learning (e.g., templating pedagogical tools) Game development pipelines for academic settings Interdisciplinary approaches (e.g., quantum games) His research explores how games can be structured to enhance learning experiences and foster innovation in educational contexts.

• Quantum Computing
• Game Development
• Digital Art
• +3 more

Laura Piispanen is a Doctoral Researcher at Aalto University's Department of Computer Science, focusing on quantum games, quantum art, and simulation tools. Her work bridges quantum physics and interactive media, emphasizing education and citizen science. Awards: Shared first place in Aalto University's Campus Art Competition (2020). Her research explores quantum computing through game development, creating educational tools and fostering collaborations between scientists and artists. Recent publications highlight quantum game design, simulation tools, and the evolution of quantum games. Key trends in her articles include quantum education, game jam methodologies, and interdisciplinary approaches merging art with quantum physics. She contributes to pedagogical frameworks for integrating quantum concepts into software development and design education.

Luyao ZouView profile

Assistant Professor

• Molecular Spectroscopy
• Astrochemistry
• Atmospheric Chemistry
• +3 more

Luyao Zou is an Assistant Professor at the University of the Coastal Opal Coast, affiliated with the LPCA laboratory (UMR 4493). He holds a Junior Professor Chair and focuses on molecular spectroscopy in millimeter-wave and THz ranges for atmospheric and interstellar applications. His expertise includes instrument design, software development, and analysis of complex rotational spectra with techniques like supersonic expansion and chirped-pulse spectroscopy. Education: PhD in Chemistry, Emory University (2017) His research targets high-resolution spectroscopic detection of molecules in extreme environments, such as interstellar clouds and atmospheric studies. He specializes in supersonic expansion for cooling unstable species (radicals, van der Waals complexes) and develops advanced spectrometers for signal enhancement and precision measurements. Recent publications highlight his work in interstellar molecule detection (e.g., nitrosomethane, 2-propanimine), quantum chemistry of torsional barriers, and instrumental innovations (e.g., chirped-pulse spectrometers). His studies bridge astrophysical observations with laboratory experiments, particularly in identifying astrochemical species and their dynamics. Scientific Awards: Marie Skłodowska-Curie Postdoctoral Fellowship (2020-2022) At LPCA, Zou leads projects in molecular spectroscopy, collaborating with institutions like Université de Lille (PhLAM) and Université Paris-Est Créteil (LISA). He has contributed software tools (e.g., GOBASIC) for interstellar chemistry analysis and pioneered techniques for broadband spectral surveys in astrochemistry.

• Biomedical Imaging
• Computational Imaging
• Machine Learning in Imaging
• +3 more

Jonathan Dong is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Engineering. He works at the Biomedical Imaging Laboratory (LIB), focusing on advanced imaging techniques and computational models. PhD Students: Hu Zhiyuan, Liu Yan His research spans biomedical imaging, computational optics, and machine learning applications in imaging inverse problems. Recent work emphasizes phase retrieval, optical reservoir computing, and quantum information in microscopy. Key article trends show expertise in MRI classification , optical tomography , deep learning for imaging, and scattering media analysis . Collaborations include technical development in optoacoustics and super-resolution microscopy. Contact: jonathan.dong@epfl.ch | Office: BM 4141, EPFL, Station 17, Lausanne

• Quantum Computing Optimization
• Interior Point Methods
• Semidefinite Optimization
• +11 more

Professor Tamás Terlaky holds the Alcoa Endowed Chair at Lehigh University 's P.C. Rossin College of Engineering and Applied Science , directing the Quantum Computing and Optimization Laboratory (QCOL) . He maintains Adjunct Professor roles at McMaster University and University of Pannonia , and serves as Visiting Professor at Strathclyde University . Ph.D. & M.Sc. from Eötvös University, Budapest Doctor of Academy of Sciences (Hungary) Habilitation from University of Pannonia Research Interests span Quantum Computing Optimization , Interior Point Methods , High-Performance Computational Optimization , Mathematical Modeling , and Medical Engineering Applications . Specific foci include Proton Therapy Treatment Optimization , Nuclear Reactor Core Reloading , and Service System Optimization . Recent Publications demonstrate expertise in Quantum Interior Point Methods , Quantum Linear System Algorithms , and Combinatorial Optimization , with applications to Medical Physics , Structural Engineering , and Quantum Software Design . Scientific Awards : Fellow of Fields Institute , INFORMS , SIAM , IFORS , and Canadian Academy of Engineering INFORMS Wagner Prize recipient IISE Outstanding Innovation in Service Science award MITACS Mentorship Award Teaching includes courses on Conic Optimization , Interior Point Methods , and Optimization Methods and Software . Currently leading a $2.1M DARPA grant for Quantum Computing Optimization research.

Roberto DinapoliView profile

Researcher

• Microelectronics
• X-ray Detection
• Radiation Hard Electronics
• +4 more

Dr. Roberto Dinapoli is a Principal Researcher and team leader at the Paul Scherrer Institute (PSI), specializing in microelectronics for high-energy physics and photon science. He earned his PhD from Université Montpellier II and holds a degree in Electronic Engineering from Polytechnic University of Bari. Education: PhD in Microelectronics (Université Montpellier II), Electronic Engineering (Politecnico di Bari) His research focuses on radiation-hard hybrid pixel detectors for synchrotrons and free-electron lasers (XFELs), including the development of EIGER, MÖNCH, MYTHEN III, and DOMINO chips. These systems enable high-resolution imaging, charge integration, and single-photon counting under extreme radiation environments. Recent publications highlight advancements in 25 µm pitch detectors, charge transport simulations using deep learning, and quantum efficiency optimization for soft X-rays. His work impacts applications in synchrotron radiation, nanoelectronics metrology, and high-speed imaging. Key Projects: EIGER (24kHz framing), MÖNCH (25µm pixel), MYTHEN III (50µm strips), DOMINO (2GHz memory) Dinapoli actively collaborates on detector patents licensed to DECTRIS and participates in EUROPRACTICE/CADENCE software management. He leads the Chip Design Competence Team (CDCT) at PSI.

Kerstin TackmannView profile

Professor

• Experimental Particle Physics
• High Energy Physics
• Higgs Boson Physics
• +5 more

Prof. Dr. Kerstin Tackmann is a Principal Investigator at Universität Hamburg and Leading Scientist at Deutsches Elektronen-Synchrotron (DESY). She actively participates in the ATLAS collaboration at CERN's Large Hadron Collider (LHC) and the Belle II collaboration at KEK in Japan. Her academic journey includes a doctorate from University of California, Berkeley (2008) and diploma from Technische Universität Dresden (2004). Co-supervisor for Jim Lacey Roger Naranjo Garcia Daniela Küchler Kurt Brendlinger Früd Braren Tina Ojeda Research Interests: Kerstin Tackmann's work focuses on Higgs boson properties , particularly its decays into two photons and four leptons. She also investigates B-meson decays for quark mixing analysis and top quark physics . Her technical contributions include photon and electron reconstruction , detector calibration , and data simulation improvements. Current projects analyze new physics beyond Standard Model through differential cross-sections and Yukawa coupling constraints . Scientific Trends: Recent publications show emphasis on top quark mass measurements , slepton/sneutrino searches , W-boson production , and D-meson yields . Methodologies involve ATLAS detector performance , missing transverse momentum reconstruction , and high-precision Higgs studies . Awards: Kerstin Tackmann received the ERC Starting Grant (2016-2021) Helmholtz Young Investigator Group Funding (2011-2016) Labs & Teams: She leads the ATLAS group at DESY and collaborates with the Belle II team at KEK. Her work integrates with CERN's LHC experiments and DESY's particle physics division .

Andrea DamascelliView profile

Professor

• Electronic Structure of Quantum Materials
• Strongly correlated electron systems
• Low-dimensional systems and nanostructures
• +7 more

Andrea Damascelli is a Professor in the Department of Physics & Astronomy at the University of British Columbia (UBC), where he also serves as the Scientific Director of the UBC Stewart Blusson Quantum Matter Institute and Co-Director of the UBC-Max Planck Institute-UTokyo Centre for Quantum Materials. He holds a Tier I Canada Research Chair in the Electronic Structure of Quantum Materials. Dr. Damascelli received his Bachelor's degree in Physics from the University of Milan and his Doctoral degree in Physics from the University of Groningen. His academic career includes postdoctoral work at Stanford University and the Stanford Synchrotron Radiation Laboratory before joining UBC as an Assistant Professor in 2002. Dr. Damascelli's research focuses on the electronic structure of quantum materials, with particular emphasis on strongly correlated electron systems, transition-metal oxides, and high-temperature superconductors. His work employs advanced spectroscopic techniques including time-, spin-, and angle-resolved photoemission spectroscopy (ARPES) and resonant elastic x-ray scattering (REXS). His laboratory investigates the interplay between spin, charge, and orbital degrees of freedom in novel complex systems and nanostructures, aiming to understand and control quantum electronic properties. His recent publications demonstrate a consistent focus on quantum materials with an emphasis on ARPES studies of cuprate superconductors, iron-based superconductors, iridates, and topological materials. His work often examines charge order phenomena, metal-insulator transitions, and the fundamental mechanisms behind high-temperature superconductivity. A growing trend in his research involves time-resolved studies of quantum dynamics and the development of computational frameworks for analyzing complex spectroscopic data. Dr. Damascelli has received numerous prestigious awards including: Fellow of the Max Planck Graduate Center for Quantum Materials (2021) Fellow of the CIFAR Quantum Materials Program (2019) Fellow of the Royal Society of Canada (2018) CAP/DCMMP Brockhouse Medal (2018) Tier I Canada Research Chair (2015) Fellow of the American Physical Society (2014) E.W.R. Steacie Memorial Fellowship from NSERC (2011) Sloan Research Fellowship (2007) Dr. Damascelli actively supervises graduate students and postdoctoral fellows in the Quantum Materials Lab at UBC. Among his known students is Cissy Suen, who completed a PhD on "Exploration of the Electronic Structure of the Mott Insulator Ca2RuO4." His research is supported by significant grants including his Canada Research Chair and collaborations with major facilities like the Canadian Light Source. He is currently establishing the Quantum Materials Spectroscopy Centre in Saskatoon to further advance quantum materials research in Canada. Dr. Damascelli leads the Quantum Materials Lab (QML) at UBC, which operates within the Stewart Blusson Quantum Matter Institute. The QML brings together expertise in theoretical modeling, advanced spectroscopy, and materials growth to create a comprehensive approach to studying quantum materials. His team collaborates extensively with international partners through the UBC-Max Planck Institute-UTokyo Centre for Quantum Materials, positioning Canada as a global leader in quantum materials research.

Simon MagesView profile

Research Professor

• Spatial Omics
• Bioinformatics
• High-Dimensional Data Analysis
• +3 more

Dr. Simon Mages serves as Group Leader at the Gene Center and Department of Biochemistry, Ludwig Maximilians University Munich (LMU), within the Faculty of Medicine. His research bridges bioinformatics, high-performance computing, and theoretical physics to develop computational frameworks for spatial omics data analysis. Previously, he held positions as Scientist at LMU (2021-2022), Visiting Scientist at the Broad Institute of MIT and Harvard (2020-present), and Research Scientist at Siemens Corporation (2019). His research focuses on the physics of high-dimensional biological data , specifically developing methods to analyze cellular dynamics in joint position-internal state spaces using spatial omics. Key areas include spatial transcriptomics, single-cell data integration, and physics-inspired algorithm development. The Mages Lab collaborates extensively with clinical researchers to translate computational insights into biological understanding, particularly in cancer progression and tissue organization. Analysis of his publication record reveals a strong trajectory from theoretical physics ( 2015-2017 lattice QCD work ) to computational biology ( 2022-present spatial omics leadership ). His recent work demonstrates expertise in algorithm development (TACCO, SlideCNA), multi-omics integration, and clinical applications in oncology. The publications consistently emphasize scalable computational frameworks and physical modeling approaches. Selected scientific awards: German Research Foundation (DFG) Research Fellowship (2020-2022) Studienstiftung des Deutschen Volkes PhD Fellowship (2012-2015) Studienstiftung des Deutschen Volkes Scholarship (2008-2011) Mages advises doctoral researchers including Antonia Eicher and collaborates with major institutions like the Broad Institute. His lab develops open-source tools (BoReMi) and participates in high-impact consortia such as the Regev Lab collaborations. Current research integrates physics-based modeling with cutting-edge spatial technologies to decode multicellular functional units in cancer and tissue organization. The Mages Lab operates within LMU's BioSysM infrastructure at Butenandtstraße 1, leveraging high-performance computing resources for large-scale biological data analysis. The group maintains strong ties with both computational physics (through prior Jülich Supercomputing Centre work) and clinical research communities.

• Scientific Computing
• Machine Learning
• High-Energy Physics
• +3 more

Prof. Dr. Ralf Keidel is a faculty member at the Chair for Scientific Computing , Rhineland-Palatinate University of Technology Kaiserslautern-Landau (RPTU), since 2022. His academic career spans roles at Worms University of Applied Sciences , where he has served as Professor of Computer Science since 1993, Scientific Director of the Center for Technology and Transfer (ZTT) since 2000, and Head of the Technology Transfer Office since 1996. He is a key figure in international collaborations, including the ALICE Collaboration Board at CERN (2003–2023), Bergen pCT Collaboration (since 2018), and the MODE Collaboration (since 2022). His research merges Computer Science with High-Energy Physics , focusing on machine learning , secure heterogeneous distributed systems , and optimization of detectors in particle physics . Projects like SIVERT (2020–2024) aim to enhance Proton Computed Tomography (pCT) for clinical radiation therapy using AI-driven visualization and real-time reconstruction. He also contributes to serious games for financial education and mobile applications for musical training. Key publications highlight his work on differentiable programming for detector optimization, deep reinforcement learning in particle tracking, and convolutional neural networks for radiation topology analysis. His projects often involve interdisciplinary teams from institutions like the University of Bergen , DKFZ Heidelberg , and Western Norway University of Applied Sciences .

Emily EdwardsView profile

Academic

• Science Communication
• Quantum Information Science
• STEM Education
• +3 more

Emily Edwards is an Associate Research Professor in the Department of Electrical and Computer Engineering at Duke University, affiliated with the Duke Quantum Center. She specializes in science communication and informal STEM education for quantum information science. B.S. in Physics from Appalachian State University (2002) M.S. in Physics from University of Maryland, College Park (2008) Ph.D. in Physics from University of Maryland, College Park (2009) Her research focuses on translating complex quantum engineering concepts into accessible educational materials through: Interactive gamified learning platforms Teacher training programs for quantum curriculum Public engagement initiatives Development of quantum education frameworks Recent publications demonstrate expertise in quantum education tools (2025), program development (2022), and foundational quantum simulation techniques spanning 2010-2025. Scientific Awards APS Fellows (American Physical Society), 2022 She actively bridges quantum research and public understanding through: Collaborative workshop leadership Emerging tech visualization systems Science policy contributions Quantum workforce development

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

Dr. Iker Pastor López is a Researcher at the University of Deusto's Faculty of Engineering, where he serves in the Department of Computing, Electronics and Communication Technologies. His academic credentials include a PhD in Information Systems (2013), Master's in Information Security (2010), and Computer Engineering degree (2007), all from the University of Deusto. His research spans: Machine Learning methods for industrial optimization Computer vision applications in manufacturing quality control Edge computing architectures for Industry 4.0 Big Data analytics in financial and healthcare domains Cybersecurity frameworks for emerging technologies He has led numerous competitive grants including: EU H2020 projects (DANTE 2016-2019) ELKARTEK industrial transformation initiatives Quantum computing security research (QUANTEK) Industry collaborations with ETXE-TAR and VIDRALA His publication record shows strong focus on applied AI research with recent work in: Edge computing optimization Financial time series forecasting Industrial defect detection Biomedical sequence analysis He currently supervises graduate research on industrial AI applications and has contributed to institutional initiatives bridging academia and industry through technology challenges.

Lucia GordonView profile

Researcher

• Computer Vision
• Active Learning
• Multimodality
• +5 more

Lucia Gordon is a PhD Candidate in Computer Science at Harvard University’s School for Engineering and Applied Sciences, where she is affiliated with Andrew Davies’ lab and the Pioneer Centre for Artificial Intelligence in Denmark. She is associated with Christian Igel’s and Serge Belongie’s groups at the University of Copenhagen, focusing on machine learning applications for Earth observation data and remotely sensed imagery. Education : A.B. in Physics and Mathematics from Harvard College (2018–2022); currently pursuing a PhD in Computer Science at Harvard (2022–present). Her research bridges Computer Vision , Active Learning , Multimodal Data Analysis , and Dataset Imbalance in ecological contexts. She is an NSF Graduate Research Fellow and has received academic distinctions including Magna Cum Laude, Highest Honors in Physics & Mathematics, Phi Beta Kappa, John Harvard Scholar, National Merit Scholar, and Scholastic Art & Writing Awards. Recent publications highlight her work on machine learning for Earth observation , with emphasis on ecological modeling , multimodal fusion , and active learning techniques. Her contributions span venues like ECAI, ECCV workshops, IJCAI, Monthly Notices of the Royal Astronomical Society, and Physical Review D. Scientific Awards : NSF Graduate Research Fellow Magna Cum Laude Highest Honors in Physics & Mathematics Phi Beta Kappa John Harvard Scholar National Merit Scholar Scholastic Art & Writing Awards Gold Key Scholastic Art & Writing Awards Gold Medal Lucia develops machine learning tools for ecological sustainability, leveraging statistical and algorithmic methods to address challenges in biodiversity monitoring and environmental data analysis. She actively participates in AI for Social Impact and BIOSPACE communities, presenting at conferences like AAAI, ECCV, ECAI, and BIOSPACE.

Timothy Andrew ManningView profile

Researcher

• Quantum Chromodynamics
• High-Performance Computing (HPC)
• Cyberinfrastructure
• +7 more

Timothy Andrew Manning is a Senior Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. His work focuses on developing research software and cyberinfrastructure for large-scale collaborations, emphasizing open-source solutions and decentralized identity/data management via the DecentCI platform. Academic Rank: Researcher Institution: University of Illinois at Urbana-Champaign Research Unit: National Center for Supercomputing Applications (NCSA) His research spans computational physics, quantum chromodynamics, and astrophysical simulations, particularly through the MUSES Collaboration. Recent publications explore: QCD critical point localization using holographic and Bayesian methods Neutron star equation of state modeling Phase stability in chiral mean-field models High-temperature nuclear matter simulations Software contributions include science gateway development and workflow management systems leveraging HPC resources. While no formal awards are listed, his collaborative work appears in major journals like Physical Review D and Living Reviews in Relativity . Key collaborations involve institutions studying quantum networks, holography, and nuclear astrophysics.