Find Academic Supervisors

• Artificial Intelligence
• Data Science
• Social Network Analysis
• +3 more

Marçal Mora Cantallops is a Visiting Professor at the Department of Computer Science, University of Alcalá. His research focuses on artificial intelligence, data science, social network analysis, and education technology. He holds a PhD from Universidad de Alcalá with a thesis on player experience in MOBA games (2018), supervised by Dr. Miguel Ángel Sicilia Urbán. His work bridges computational methods with societal applications, including healthcare innovation, digital transformation, and ethical AI education. Research Interests: Dr. Cantallops explores AI ethics, quantum computing applications, and the intersection of technology with culture and education. Notable themes include the preservation of gaming history, predictive analytics using social media (e.g., Twitter), and metacognitive scaffolding in e-learning. His studies often employ graph analytics and network analysis to uncover patterns in complex systems. Publications Trends: Recent work emphasizes trustworthy AI in healthcare, automated conversational agent design, and the role of Spanish innovation in retro gaming. Earlier research analyzed League of Legends player behavior and bacterial species modeling through clustering techniques. Awards: None explicitly mentioned in available texts. Grants & Advising: No specific grants or advisees listed. His contributions include collaborative projects with the I4 research group (Inteligencia, innovación, internet e información). Labs/Teams: Active member of the I4 research group at UAH, focusing on intelligence systems, internet studies, and information innovation.

Joel DavidssonView profile

Assistant Professor

• Quantum Technologies
• Semiconductors
• Point Defects
• +3 more

Joel Davidsson is an Assistant Professor at Linköping University's Department of Physics, Chemistry and Biology (IFM), within the Theoretical Physics (TEOFY) division. His research focuses on identifying and characterizing point defects in semiconductors for quantum technologies, leveraging high-throughput computational methods. He leads the ADAQ Database Initiative, which provides open-access data on defect properties via automated workflows. Davidsson holds a Master's (2015) and PhD (2021) from Linköping University, specializing in orbital-free density-functional theory and quantum materials. His work emphasizes accelerating the discovery of defects suitable for quantum computing, single-photon emitters, and hybrid quantum systems. His research integrates First-principles calculations (DFT) Automated defect analysis (ADAQ platform) High-throughput screening of semiconductor defects Key projects include NV-like defect exploration in oxides and SiC, and developing symmetry analysis tools for defect orbitals. Collaborations involve teams at the University of Edinburgh and supercomputing facilities. His group includes PhD student William Stenlund and contributes to grants from WASP-WISE for sustainable materials research. Notable achievements include predicting MgO spin qubits, discovering telecom-wavelength emitters in 4H-SiC, and advancing defect database interoperability through initiatives like OMDI 2021.

• Materials Engineering
• Electrical and Electronic Engineering
• Condensed Matter Physics
• +3 more

Dr Diego Alonso Alvarez is a Researcher and Head of the Research Software Engineering team at Imperial College London's Central Faculty. He joined in 2018 and leads the Grantham Institute RSE Team within Research Computing Services. His expertise includes software sustainability, accessibility, and GUI development for research software. Education: PhD in Semiconductor Nanostructures Postdoctoral Research in Solar Energy Concepts & Solar Cells Research Interests: Focus on advancing coding practices, software sustainability, and interdisciplinary applications in materials science and energy systems. Active contributor to projects like StrainMap, MUSE, and POWBAL. Awards: Software Sustainability Institute Fellow Advising/Grants: While no formal advisees are listed, his work spans collaborative projects funded by Imperial's Research Computing initiatives. He advocates for open-source methodologies to enhance reproducibility in research. Labs/Teams: Leads the central RSE Team and collaborates with the Grantham Institute, fostering innovation in computational tools for sustainability research.

David DiVincenzoView profile

Professor

• Quantum Computing
• Superconducting Qubits
• Quantum Communication
• +3 more

Prof. David DiVincenzo serves as Director of the Institute for Theoretical Nanoelectronics (PGI-2) and the JARA Institute for Quantum Information (PGI-11) at Forschungszentrum Jülich. His research focuses on quantum computing, superconducting qubits, quantum error correction, and many-body localization. He has contributed to foundational work on quantum hardware design, noise mitigation, and theoretical frameworks for scalable quantum systems. Key research themes include the development of superconducting qubit architectures, analysis of quantum chaos effects, and exploration of topological states in semiconductor materials. His work bridges theoretical insights with practical applications in quantum communication and fault-tolerant computing.

Peter FletcherView profile

Lecturer

• STEM Education
• Place-Based Learning
• Outdoor Education
• +12 more

Peter Fletcher is a Lecturer in STEM Education at the School of Education, University of New England, where he contributes to pre-service teacher education and digital learning initiatives. He holds a PhD in Physics Education from the University of Sydney and has extensive experience across primary, secondary, and tertiary education sectors in Australia and internationally. Doctor of Philosophy – University of Sydney Master of Science – University of Sydney Graduate Diploma in Education (Secondary) – University of Technology Sydney Bachelor of Education (Primary) – University of New England Bachelor of Science (Mathematics and Physics) – University of Sydney Graduate Diploma in Information Technology – University of New England Peter’s research centers on student-centered pedagogies, particularly place-based STEM education, outdoor learning, and the integration of science and technology in authentic community contexts. He advocates for interdisciplinary learning that connects students with nature, built environments, and Indigenous knowledge systems. His work emphasizes inquiry-based learning, inclusivity, and the use of digital tools to enhance engagement and self-regulation. His recent publications reflect a strong focus on online learning, teacher professional development, assessment innovation, and rural education. Themes across his work include equity in access, digital pedagogy, and the design of responsive learning environments. He frequently collaborates on projects supporting STEM outreach, astronomy education, and virtual learning systems. Citation for Outstanding Contributions to Student Learning, Australian Awards for University Teaching (2016) Citation for Outstanding Contribution to Student Learning, UNE Awards for Teaching Excellence (2016) Outstanding Paper Award, EdMedia Conference (2015) Vice-Chancellor’s Scholar, University of New England (2021) University of Sydney Research Scholarship (1999–2000) Peter has supervised multiple doctoral and master’s students in education and collaborated on significant research grants, including the ASELL in Schools project and the STEM Action Schools initiative. He has also contributed to national curriculum resources and professional development programs for rural teachers. He supports initiatives such as the Port Macquarie Astronomical Association and the New England Online Gifted and Talented program, demonstrating strong community engagement. He has led and participated in research teams focused on e-learning, physics education, and curriculum innovation. His academic service includes roles as Academic Integrity Officer and ICT Education Team Representative at UNE. He is a Fellow of the Royal Astronomical Society and actively promotes astronomy and technology education beyond the university.

• Formal Methods in Computer Science
• Cybersecurity
• Insider Threat Analysis
• +4 more

Dr. Florian Kammueller is an Associate Professor in Software Engineering at Middlesex University , specializing in formal methods for cybersecurity and privacy. His research focuses on attack trees , GDPR compliance , insider threat modeling , and quantum cryptography using the Isabelle theorem prover. He has published extensively on formal verification of security protocols, privacy in IoT healthcare systems, and trust in AI. Recent publications emphasize federated learning , differential privacy , and distributed ledger security , often applying formal verification techniques to address regulatory and technical challenges. His work bridges theoretical computer science with practical applications in critical infrastructure security.

Mingshuai ChenView profile

Assistant Professor

• Formal Verification
• Programming Theory
• Logical Aspects of Computer Science
• +5 more

Mingshuai Chen is an Assistant Professor at Zhejiang University, leading the Formal Verification Group. He previously held a postdoctoral position at RWTH Aachen University. Education: Ph.D. in Computer Science from Institute of Software, Chinese Academy of Sciences (2019) B.Sc. in Computer Science from Jilin University (2013) His research focuses on formal verification, synthesis, programming theory, and probabilistic/quantum systems. Notable contributions include Exact Bayesian Inference and Lower Bounds for Probabilistic Programs . Scientific awards include: NSFC Excellent Young Scientists Fund Program (Overseas) Distinguished Paper Award at ATVA 2018 Best Paper Award at FMAC 2019 CAS-President Special Award (2019) 2nd Prize@ChinaSoft'24 He serves on program committees for OOPSLA 2026, TACAS 2026, and multiple other conferences.

• 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.

Daniel PeterseimView profile

Professor

• Computational Mathematics
• Numerical Analysis
• Multiscale Methods
• +6 more

Prof. Dr. Daniel Peterseim is the Chair of Computational Mathematics at the University of Augsburg, with a focus on numerical methods for partial differential equations and multiscale problems. He leads a research team including collaborators like Robert Altmann, Moritz Hauck, and Hannah Mohr. 2017–present: Chair of Computational Mathematics, University of Augsburg 2013–2017: Professor for Numerical Simulation, University of Bonn 2009–2013: Head of Junior Research Group, DFG Research Center Matheon & Humboldt University Berlin His research centers on computational multiscale methods, eigenvalue problems, and wave phenomena, with applications in mechanics, physics, and medicine. Recent work includes numerical stochastic homogenization and quantum computing applications of finite element methods. He has received the ERC Consolidator Grant for his research. Scientific awards: ERC Consolidator Grant He has advised numerous PhD and Master’s students, including Moritz Hauck, Fabian Kröpfl, and Barbara Verfürth. His team collaborates on projects like metamaterial simulations and microstructure reconstruction using neural networks.

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +7 more

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.

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.

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.

• Quantum Technologies
• Solid-State Spectroscopy
• Diamond Quantum Science
• +5 more

Marcus Doherty is an Honorary Professor at the Australian National University, affiliated with the Physics Education Centre and leading the Diamond Quantum Science and Technology research program. His career spans theoretical and experimental advancements in diamond-based quantum technologies, including quantum microscopy, computing, and communications. Education: Ph.D. and Bachelor's degrees in Engineering and Science from the University of Melbourne. Research: Focus on optical defects in diamond (particularly NV centers), their theoretical modeling, and applications in quantum technologies. Key Contributions: First self-consistent theory of NV centers, enabling sensitive quantum electrometry, nanothermometry, and biomedical applications like thermoablative cancer therapy. Awards: Ruby-Payne Scott Award (2016), Geoff Opat Award (2015), Chancellor's Prize for Excellence in PhD (2013), and multiple fellowships and grants. Marcus' recent work explores defect discovery, quantum microscopy, and room-temperature quantum computing. His research bridges first-principles defect theory with quantum device design, supported by international collaborations. Scientific awards include: Ruby-Payne Scott Award (2016) Geoff Opat Early Career Prize (2015) Dr Phillip Law AC Postdoctoral Award (2015) Chancellor's Prize for Excellence in PhD Thesis (2013) Nomination for Bragg Gold Medal (2012) Marcus has secured grants from the Australian Research Council (ARC), DAAD-Go8, ANU Major Equipment Committee, and other institutions. He collaborates with leading groups globally, including Harvard University, University of Stuttgart, and University of Ulm.

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.