Find Academic Supervisors

• 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.

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.

Rui AbreuView profile

Professor

• Software Quality
• Software Testing
• Debugging
• +5 more

Rui Abreu is a Full Professor at the Faculty of Engineering of the University of Porto, Portugal. His academic career spans multiple institutions including IST, ULisbon where he served as an Associate Professor, and the University of Porto where he previously held the position of Assistant Professor. He has also been a Visiting Researcher at Google NYC (2019-2020) and a member of the Model-Based Reasoning group at PARC's System and Sciences Laboratory. Dr. Abreu earned his Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and his M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality with emphasis on automating testing and debugging phases of the software development life-cycle as well as self-adaptation. With extensive expertise in both static and dynamic analysis algorithms, his work spans traditional software engineering, quantum software testing, and security-focused development practices. His recent publications demonstrate a strong focus on applying AI techniques to software engineering problems, quantum software testing, and security vulnerability detection. The trend shows increasing integration of large language models in debugging tools and expanding research into quantum software verification. Dr. Abreu has received significant recognition for his work, including 6 Best Paper Awards and a Distinguished Paper Award at ESEC/FSE 2019. His research has attracted considerable attention in the software engineering community. As an entrepreneur, he co-founded DashDash in January 2017, a platform that allows users to create web applications using only spreadsheet skills. The company secured $9M in Series A funding in May 2018. His industry experience complements his academic work, particularly in the areas of practical software tools and applications. Dr. Abreu has been actively involved in numerous conferences, serving as General Chair for ICST 2020, Program Committee member for multiple tracks across various conferences, and as Steering Committee member for ICST. His leadership in the software engineering community is evident through his extensive service and contributions to the field.

• Data Quality
• Software Quality and Measurement
• Business Intelligence
• +6 more

Manuel A. Serrano is a Professor at the School of Computer Science, University of Castilla-La Mancha, Spain. With over 25 years of professional experience including industry roles as programmer/web designer and secondary school teacher, he has been a full-time researcher in the Alarcos group since 2000. Currently coordinates professional practice programs in Computer Engineering. Education : PhD in Computer Engineering (2004, UCLM, cum laude) Research Interests : Data quality, quantum software engineering, business intelligence, Big Data security, IoT, and AI ethics His research spans two major domains: Quantum Computing : Pioneering quantum software engineering, developing testing methodologies, assertion frameworks, and hybrid system guidelines Cybersecurity : Creating security reference architectures for Big Data and automotive systems, with focus on quantum security integration Recent publications demonstrate these interests through: Quantum algorithm verification techniques Security frameworks for automotive systems Ethical AI methodology development Big Data risk analysis patterns Scientific achievements include: 24 JCR-indexed journal articles Over 50 SCI-category conference papers 3 research six-year periods Best Scientific Article Award at JNIC 2018 Research leadership: Coordinated regional project with University of Alicante Principal investigator for national project QUASIMODO Contributor to 20+ national/regional and 3 international projects (SDGear, DQIoT, Di4SPDS) Industrial collaborations with INDRA on ORIGIN and LPS-BIGGER projects Additional qualifications: Professional Scrum Manager certification Cambridge C1 English certification Spin-off participation in AQCLabs and DQTeam

Peter HoreView profile

Professor

• Spin Chemistry
• Magnetoreception
• Radical Pair Mechanisms
• +2 more

Peter Hore is Professor of Chemistry at the University of Oxford, where he has been affiliated since 1973. He received his education at Oxford (Chemistry student, 1973–1980) and completed postdoctoral research at the University of Groningen (1980–82). His career includes roles as a Junior Research Fellow (1982–83), Fellow of Corpus Christi College (1983–2023), and Professor of Chemistry (1983–present). His research focuses on Spin Chemistry and Magnetoreception , exploring magnetic effects on chemical reactivity, radical pair mechanisms in biological systems, and NMR techniques. Key areas include avian navigation via cryptochrome-based magnetic sensing, quantum effects in radical pairs, and magnetic field influences on biochemical reactions. His work bridges chemistry, biophysics, and ornithology. Recent publications emphasize cryptochrome dynamics , quantum magnetoreception , and spin-controlled nanomaterials . Trends show a shift toward in vivo validation of radical pair theories, interdisciplinary applications in oncology/nanotechnology, and high-precision spectroscopy. No scientific awards are listed in the provided text. He leads an active research group advising numerous PhD students (e.g., on spin dynamics, protein magnetosensitivity, and avian navigation). Labs utilize NMR, EPR, and computational tools to study magnetic field effects. Collaborative networks include the University of Oldenburg and the Timmel Group at Oxford.

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.

• 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.

Dajana CassioliView profile

Senior Lecturer

• 5G Networks
• Software Defined Networks (SDN)
• Millimeter Wave Communications
• +5 more

Dajana Cassioli is a Senior Lecturer at the University of L'Aquila, Department of Information Engineering, Computer Science and Mathematics. Her research focuses on advanced computer networks, propagation modeling, and wireless communication technologies. Key research areas: 5G/6G networks, Software Defined Networking (SDN), Millimeter Wave Communications Principal investigator for the ERC Starting Grant VISION project and SafeCOP project Active in cybersecurity applications for O-RAN, quantum key distribution, and physical layer attack detection Her work bridges theoretical and applied aspects of wireless sensor networks, channel modeling, and emerging telecom technologies. Recent publications emphasize O-RAN security, edge computing optimization, and human-induced channel dynamics Recognized for contributions to network slicing, terahertz communication, and graphene-based devices Scientific awards include the prestigious ERC Starting Grant for the VISION project. She actively contributes to educational initiatives in cybersecurity through the CyberChallenge.IT@UnivAQ program.

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 .