Find Academic Supervisors

• Computer Networks
• Wireless Communication
• Reconfigurable Intelligent Surfaces (RIS)
• +4 more

Christos Liaskos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina (UoI), Greece. He is also a researcher at the Foundation for Research and Technology-Hellas (FORTH). His expertise spans computer networks, wireless communication systems, and nanotechnology, with a focus on reconfigurable intelligent surfaces (RIS), metasurfaces, and their applications in 6G, IoT, and autonomous systems. He holds a PhD in Computer Networking from Aristotle University of Thessaloniki (AUTH) and has published extensively in IEEE venues. Education: Diploma in Electrical and Computer Engineering (AUTH, 2004) MSc in Medical Informatics (AUTH Medical School, 2008) PhD in Computer Networking (AUTH Informatics Department, 2014) Research Interests: Programmable wireless environments using software-defined metasurfaces RIS-assisted architectures for 5G/6G networks IoT and UAV communication systems Energy-efficient trajectory design for drones Beam steering and wavefront control in mmWave systems His recent work explores applications like RIS-based autonomous driving, optical wireless positioning, and fault-tolerant routing in metasurface networks. He contributes to open-source simulation frameworks (e.g., Cooperis) and collaborates on EU projects like VISORSURF, advancing the Internet-of-Materials concept.

Eduard GröllerView profile

Professor

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +5 more

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

Jan SwartView profile

Professor

• Probability Theory
• Mathematical Statistics
• Interacting Particle Systems
• +5 more

Dr. Jan Swart is a Professor at the Department of Probability and Mathematical Statistics within the Faculty of Mathematics and Physics at Charles University, and a researcher at the Institute of Information Theory and Automation (UTIA) of The Czech Academy of Sciences in Prague. His office is located at Pod vodarenskou vezi 4, 18200 Praha 8, Czech Republic, where he works in Room 112 of the Stochastic Informatics department. Professor Swart specializes in probability theory with particular expertise in interacting particle systems, stochastic processes, and their mathematical foundations. His research spans quantum probability, random matrix theory, Markov chains, large deviations, and Brownian continuum objects. He has developed significant theoretical frameworks for understanding complex stochastic systems and their scaling limits. His publication record shows a consistent focus on advancing the mathematical understanding of interacting systems, with lecture notes and research materials that have become valuable resources in the field. His work demonstrates strong connections between theoretical probability and applications in statistical physics and theoretical biology. Professor Swart has supervised numerous theses and taught a wide range of advanced courses including Quantum Probability Theory, Interacting Particle Systems, Random Matrix Theory, and Advanced Markov Chains. He has also created a comprehensive simulation library for interacting particle systems that enables numerical exploration of these complex models. Notably, Professor Swart has also contributed to mathematical education through creative works including a mathematical fairy tale titled "Roulette a la princess" that explores game theory and probability concepts in an engaging narrative format. His work on the Czech language demonstrates his integration into the local academic community while maintaining international scholarly connections.

• Socially Assistive Robotics
• Assistive Robotics
• Rehabilitation Robotics
• +2 more

Marcela Munera is an Associate Professor in Assistive Robotics at the University of the West of England (UWE Bristol). Her research focuses on robotic devices for rehabilitation, human-robot interaction, biomechanics, and movement analysis, with a particular emphasis on user-centered design approaches. Bioengineer, Universidad de Antioquia (Colombia) MSc in Mechanics and Materials, Ecole Nationale de Metz (France) PhD in Mechanics and Biomechanics, Université de Reims Champagne Ardenne (France) Key research areas include socially assistive robotics, rehabilitation robotics, and biomechanical modeling. She has led projects involving exoskeletons, smart walkers, and wearable sensors, often integrating participatory design and multimodal feedback mechanisms. Her publications highlight interdisciplinary applications in neurological rehabilitation (e.g., stroke, Parkinson's disease), autism therapy, and occupational health. Recent work explores smart upper-limb exoskeletons for construction workers, stress classification via novel sensors, and adaptive control systems for mobility assistance. FEDER, Region Champagne Ardenne Doctoral Grant Her doctoral research focused on industrial biomechanical assessments for sports performance and injury prevention, later expanding to human-centered rehabilitation robotics. She has collaborated on projects involving brain-computer interfaces, serious games, and cloud robotics frameworks like PoundCloud.

• Additive Manufacturing in Construction
• Building Information Modeling (BIM)
• Digital Twinning
• +3 more

Martin Slepicka is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich. His work focuses on bridging Building Information Modeling (BIM) with additive manufacturing and digital twinning technologies. Department: Civil and Building Engineering Research Group: Digital Twinning, Construction Robotics Research Highlights: Slepicka specializes in: Integrating BIM with digital fabrication workflows Developing closed-loop systems for additive manufacturing Real-time data exchange in construction robotics Automated parameter calibration using machine learning Semantic enrichment of BIM through multi-sensor platforms Academic Contributions: Recent publications demonstrate expertise in: Extrusion-based additive manufacturing control Non-planar path planning for 3D-printed components Autonomous robot grasping solutions From fabrication models to simulation frameworks Laboratories: Active in: BIM-Lab Robotic Fabrication Lab Mobile Machinery development

• Drug law and policy
• Harm reduction and the law
• Stigma and the law
• +5 more

Professor Kate Seear is a leading Australian legal scholar at Deakin Law School, holding an Australian Research Council Future Fellowship. A practising solicitor with expertise in family and sexual violence law, she serves as Deputy Chair of Victoria’s Inquiry into Women’s Pain and co-editor of Contemporary Drug Problems . Her multidisciplinary work spans law, sociology, feminist theory, STS and posthumanism, focusing on drug policy, health, gender, stigma and multispecies justice. Education: PhD, Monash University LLB (Hons), Monash University BA (Hons), Monash University Admitted as Barrister & Solicitor, Supreme Court of Victoria & High Court of Australia (2003–present) Research Interests: Seear’s research interrogates how law governs alcohol and other drugs, health, gender and the body. She examines harm-reduction legal frameworks, drug-related stigma, overdose, hepatitis C, family violence, feminist lawmaking, legal ethics and emerging “post-human rights” approaches to drug policy. Her theoretical toolkit includes Science & Technology Studies, feminist, posthuman and new materialist thought. Publication Trends: Recent articles (2024-25) cluster around three themes: (1) gendered and posthuman critiques of drug policy (Colombian peace process, parliamentary scrutiny, “more-than-human rights”); (2) stigma and healthcare structures (EHR systems, space-time stigma, hepatitis-C complaint mechanisms); and (3) legal ontologies of drug use (narco-necropolitics, “dope-sick ontology”, rights assemblages). Outputs traverse law, sociology, health policy, criminology and feminist theory journals. Scientific Awards & Recognition: 2020 UK Socio-Legal Studies Association Theory & History Book Prize Monash Dean’s Award for Research Impact (2016, 2018, 2019) Monash Vice-Chancellor’s Research Impact Award (2019) Monash Faculty of Law Early Career Researcher of the Year (2015) Grants & Funding: Seear has secured over AUD 7.5 million in competitive funding. Highlights include a 2026-31 ARC Mid-Career Industry Fellowship (AUD 1.18 M) on a “Reform Collaboratory” for drug harms; an ARC Future Fellowship (2021-24, AUD 1.03 M) developing a world-first “post-human rights” drug-policy framework; and ARC Discovery projects on hepatitis-C discrimination and performance-enhancing drug injecting. Supervision & Teaching: She welcomes HDR candidates in socio-legal studies, drug law & gender, stigma, feminist legal theory, legal ethics and multispecies justice. She has supervised nine doctoral/masters projects to completion and currently co-supervises studies on GHB use in pregnancy and young women’s prescription stimulant use. She teaches units MLL427 and MLP720 at Deakin.

Ali FardView profile

Assistant Professor

• Urban Planning
• Geography of Information
• Smart Cities
• +3 more

Ali Fard serves as Assistant Professor at the University of Virginia, where he is actively affiliated with the Environmental Institute—an interdisciplinary hub connecting architecture, urban planning, engineering, environmental science, data science, business, and law to address climate resilience challenges. His research critically investigates how data infrastructures and digital platforms reshape physical landscapes and territorial governance. Fard examines planetary-scale computing systems from Arctic regions to Northern Virginia, analyzing the materialities of cloud geographies, smart urbanism, and the colonial dynamics embedded in big data applications. This work reveals persistent themes of techno-colonial extraction and environmental adaptation across diverse spatial contexts. Analysis of Fard's publication trends (2011-2024) shows consistent focus on the spatial dimensions of information economies. His scholarship bridges architecture and critical geography to expose how digital platforms reconfigure urban territories, with particular attention to infrastructural violence, data sovereignty, and alternative network formations in climate-vulnerable regions. Fard contributes to the Environmental Institute's mission through interdisciplinary collaboration, advancing research on workable solutions for environmental resilience. His work connects architectural theory with urgent planetary challenges, emphasizing the need for equitable approaches to data-driven urbanization and climate adaptation.

• Structural Biology
• Computational Biology
• Molecular Biophysics
• +4 more

Bojan Zagrovic is a Professor at the Department of Structural and Computational Biology , University of Vienna. His research focuses on the interplay between protein structure, RNA interactions, and molecular dynamics, particularly in phase separation, enzyme mechanisms, and disease-related mutations. Key research areas: Structural Biology, Computational Biophysics, RNA-Protein Interactions, Phase Separation, and Protein Aggregation. Recent work includes studying FUS RGG3 phase separation, α-mannosidase pathophysiology, and SPOC domain interactions. His publications span molecular dynamics simulations, RNA modifications (e.g., N6-methyladenosine), and structural insights into ciliary proteins like CFAP410. He teaches courses in computational structural biology, molecular biophysics, and quantitative biology.

Nikolaos SamarasView profile

Professor

• Algorithm Analysis
• Computational Complexity
• Algorithmic Operations Research
• +9 more

Nikolaos Samaras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia in Thessaloniki, Greece. He has been serving as director of the Computational Methodologies & Operations Research (CMOR) Laboratory since April 2016. His academic career includes positions as Assistant Professor (2007-2012) and Lecturer (2003-2007) at the same institution, and earlier as an adjacent Lecturer at the Technological Institute of Western Macedonia (1998-2000). Dr. Samaras earned his Diploma in Applied Informatics from the University of Macedonia in 1996 and his Ph.D. in Applied Informatics from the same university in 2001. His educational background forms the foundation for his extensive research in computational optimization and operations research. Professor Samaras's research focuses on the interface between computer science and operations research, with particular expertise in linear and nonlinear optimization, network optimization, integer optimization, and scientific computing including HPC and GPU programming. His work has resulted in the development of new algorithmic families for optimization problems, efficient GPU implementations of the revised simplex algorithm, and novel algorithms and software for operations research. His research spans theoretical algorithm development, practical implementation, and real-world applications across various engineering and scientific domains. His extensive publication record includes over 35 journal papers in prestigious venues such as Computers and Operations Research, European Journal of Operational Research, and Journal of Artificial Intelligence Research, more than 85 conference papers, and four textbooks (two in English and two in Greek). His work has been recognized through citations and the Thomson ISI/ASIS&T Citation Analysis Research Grant in 2005. ACM Senior Member (2016) Thomson ISI/ASIS&T Citation Analysis Research Grant (2005) Editorial board member of Operations Research: An International Journal Reviewer for numerous top journals including Mathematical Programming Computation and European Journal of Operational Research Professor Samaras has supervised four current Ph.D. students working on hybrid simplex algorithms, large-scale optimization using Apache Hadoop, algorithmic procedures in matrix theory, and smoothed complexity analysis. He has successfully guided five Ph.D. students to completion, including Nikolaos Ploskas who won the 2014 HELORS Doctoral Dissertation Award. Additionally, he has supervised 45 master's theses and 84 bachelor's theses. His research group has secured funding from diverse sources including the European Union, Greek Secretariat of Research and Technology, and industry partners like Veltio Greece LTD. The Computational Methodologies & Operations Research (CMOR) Laboratory, which he directs, focuses on developing and implementing optimization algorithms with applications in transportation, energy systems, and business process design. The lab has produced notable software tools including Euclides and Visual LinProg, which have educational applications in linear programming.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +3 more

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

• Māori and Indigenous information behaviour
• Decolonisation of cultural heritage institutions
• Indigenisation of GLAMR institutions
• +7 more

Spencer Lilley is an Associate Professor in the School of Information Management at Victoria University of Wellington, New Zealand, where he has been employed since April 2021. He holds genealogical affiliations to Māori (Te Atiawa, Muaūpoko and Ngāpuhi), Samoa and the United Kingdom, which deeply informs his academic work. Prior to his academic career, he worked for 23 years as a library professional in special and academic libraries. His educational background includes a PhD from Massey University (completed 2011), a Diploma of Librarianship from Victoria University of Wellington, and both a Master of Arts (Hons) and Bachelor of Arts from the University of Auckland. Lilley's research focuses on Māori and Indigenous engagement with libraries and cultural heritage institutions, with particular emphasis on decolonisation and Indigenisation of galleries, libraries, archives, museums and records (GLAMR) institutions. His internationally recognized work has earned him three Royal Society of New Zealand Marsden Awards. He has also held academic positions at Massey University and served as the Dodson Visiting Professor at the University of British Columbia. His recent publications demonstrate a strong focus on Māori data sovereignty, decolonizing library collections, implementing te reo Māori in information institutions, and developing culturally appropriate research methodologies. His work consistently bridges theoretical frameworks with practical applications in information institutions. Notable awards and recognitions include: Three Royal Society of New Zealand Marsden Awards (two as Primary Investigator) LIANZA Fellowship (2010) for outstanding service to the library profession Founding member and honorary life member of Te Rōpū Whakahau (Māori in Libraries and Information Management) Former President of the Library and Information Association of New Zealand Aotearoa (LIANZA) Lilley actively supervises doctoral students working on projects related to Indigenous information behavior and librarianship. His current research is supported by multiple grants, including the Marsden-funded project 'Empowering Indigenous Knowledge: Decolonisation and Indigenisation Of Gallery, Library, Archival, Museum And Records (GLAMR) Institutions.' He serves on various committees including the Victoria University of Wellington Human Ethics Committee and has been involved in major conferences such as the Association of Critical Heritage Studies 2026. His professional journey reflects a commitment to transforming information institutions through Indigenous knowledge systems, with a particular focus on creating spaces where Māori knowledge can thrive within contemporary information environments.

• Catalysis
• Reaction Engineering
• Propane Dehydrogenation
• +4 more

Dr. David Linke serves as Department Head of Catalyst Development and Reaction Engineering at the Leibniz Institute for Catalysis (LIKAT) in Rostock, Germany. His research focuses on catalytic processes for chemical transformations, with particular emphasis on alkane dehydrogenation, CO 2 hydrogenation, and olefin metathesis. Dr. Linke's research interests span multiple areas of catalysis and reaction engineering: Development of catalysts for propane and isobutane dehydrogenation CO 2 hydrogenation to valuable hydrocarbons Metathesis reactions for olefin production Advanced characterization of catalytic materials Reaction mechanism elucidation Integration of machine learning with catalytic reaction engineering Analysis of Dr. Linke's recent publications (2021-2025) reveals a strong focus on sustainable chemical processes, particularly those involving CO 2 utilization and alkane dehydrogenation. His work combines experimental catalysis with advanced characterization techniques and increasingly incorporates computational approaches. A significant portion of his research addresses the challenge of developing efficient and stable catalysts for propane dehydrogenation, which is crucial for propylene production. His more recent work also shows growing interest in data science applications for catalysis research, including ontology development and machine learning approaches to kinetic modeling. Dr. Linke has been actively involved in developing research data infrastructure for catalysis through the NFDI4Cat initiative, which aims to establish unified data management practices across the catalysis research community.

Karl SandemanView profile

Professor

• Magnetocaloric Materials
• Barocaloric Effects
• Phase Transitions in Functional Materials
• +4 more

Karl Sandeman is a Professor in the Physics Department of the School of Natural and Behavioral Sciences at Brooklyn College, City University of New York. His research focuses on functional materials for energy applications, particularly in refrigeration and power generation through tailored phase transitions in magnetocaloric and barocaloric systems. His educational background includes: B.A. and M.Sci. in Natural Sciences (Experimental and Theoretical Physics), University of Cambridge (1998) Ph.D. in Theoretical Condensed Matter Physics, University of Cambridge (2002) Professor Sandeman's research examines structure-function relationships across all length scales in functional materials, with emphasis on caloric effects near critical points. He combines experimental and theoretical approaches to develop rare-earth-free cooling technologies, investigating spin crossover compounds, metamagnetic transitions, and magneto-elastic coupling mechanisms. His work bridges fundamental physics with practical energy applications. Recent publications (2022-2024) reveal a clear trend toward barocaloric materials for solid-state cooling, with significant focus on spin crossover compounds and pressure-induced transitions. His research increasingly incorporates materials informatics for screening caloric materials while maintaining experimental validation through neutron diffraction and calorimetry. Key scientific recognitions include: Royal Society University Research Fellow (2005-2013) Mercator Fellow on DFG Collaborative Research Centre 'HoMMage' (2020-2023) Society for Science and the Public Advocate for Underrepresented Students (2016-2017) Professor Sandeman has secured substantial research funding including an NSF Major Research Instrumentation Grant for cryogen-free cooling systems, multiple PSC-CUNY grants for barocaloric research, and the €3.7M European Commission FP7 DRREAM project. He advises undergraduate and graduate students through thesis research courses while developing pedagogical approaches to improve physics education completion rates. His research involves collaborations with Oak Ridge National Laboratory for neutron studies and coordination of international consortia including DRREAM and SSEEC, focusing on advancing caloric materials for efficient cooling applications.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +8 more

Dr. Siobahn Day Grady is an Assistant Professor of Information Science/Systems at North Carolina Central University (NCCU) and serves as the Founding Director of the Institute for Artificial Intelligence and Emerging Research (IAIER), which she established in 2025. She also holds leadership roles as Co-Director of The Center fOr Data Equity (CODE), Program Director of the Information Science Program, and Faculty Fellow in the Office of Faculty and Professional Development. Dr. Grady reports to the Provost with oversight of a $1M+ annual budget and $3M+ grant portfolio, managing a staff of 5 plus advisory boards. Ph.D. in Computer Science, North Carolina Agricultural & Technical State University (2018) M.S. in Computer Science, North Carolina Agricultural & Technical State University (2018) M.S. in Information Science, North Carolina Central University (2009) B.S. in Computer Science, Winston-Salem State University (2005) Dr. Grady's research focuses on the ethical implementation of artificial intelligence, with particular emphasis on fairness, bias mitigation, and equity in AI systems. Her work bridges technical AI development with social justice considerations, especially in healthcare applications and educational contexts. She has pioneered initiatives to increase AI literacy at HBCUs and developed frameworks for operationalizing fairness in AI governance. Her research interests include natural language processing, machine learning applications for social good, digital literacy programs for marginalized communities, and strategies to increase diversity in STEM fields through her STEM-It-Yourself program. Analysis of Dr. Grady's recent publications reveals a strong trajectory toward practical applications of AI ethics in real-world settings, particularly in healthcare and education. Her work demonstrates a consistent focus on creating frameworks that translate theoretical AI ethics principles into actionable guidelines for practitioners. There's a clear progression from technical AI research toward more interdisciplinary work that bridges computer science with social sciences, nursing, and education. Her publications increasingly address the needs of underrepresented communities and focus on practical implementation strategies rather than purely theoretical contributions. Winston-Salem State University 2023 Distinguished Alumni Award Durham Section of the National Council of Negro Women 2024 Distinguished Educator Sigma Iota Omega Chapter of Alpha Kappa Alpha Sorority, Incorporated® 2022 Soaring to Greater Heights in Science Technology Engineering Arts Mathematics Honoree The Links, Inc., Raleigh (NC) Chapter 2022 Emerald Award Honoree Association for Educational Communications and Technology (AECT) Culture, Learning, and Technology (CLT) Division 2023 Outstanding Publication Award Dr. Grady has secured significant grant funding totaling over $3 million, including a $1 million Google.org investment, $100K+ from Cisco, $15K from FICO, and funding from NTIA and NIH. She serves as Principal Investigator for the Digital Equity Leadership Program (DELP) and the Genomic Research and Data Science Center for Computation and Cloud Computing (GRADS-4C). Her mentoring extends to numerous students through programs like STEM-It-Yourself, which focuses on cultivating STEM identity among adolescent girls. Dr. Grady has established three endowed scholarships supporting economically disadvantaged students at multiple HBCUs, demonstrating her commitment to educational access. As Founding Director of the Institute for Artificial Intelligence and Emerging Research (IAIER), Dr. Grady leads North Carolina Central University's strategic vision for AI education, research, and policy. The institute includes the AI Emerging Scholars and Leaders Programs, which engage students, faculty, and staff in cross-disciplinary AI innovation. She has developed NCCU's first AI minor (pending approval) and serves as co-facilitator for the UNC AI Faculty Learning Community. Dr. Grady also holds leadership positions on the Governor's AI Council and multiple advisory boards, positioning NCCU as a national leader in responsible AI development and implementation.

Chiheb Ben MahmoudView profile

Research Fellow

• Machine Learning
• Materials Science
• Computational Chemistry
• +3 more

Chiheb Ben Mahmoud is a Junior Research Fellow and Swiss National Science Foundation Postdoctoral Fellow in the Department of Chemistry at the University of Oxford, working under Prof. Volker Deringer. He holds a PhD in Materials Science and Engineering from the Swiss Federal Institute of Technology (EPFL) and Master’s degrees from Ecole CentraleSupélec (France) and the University of Paris-Saclay (France). His research focuses on applying machine learning to model macroscopic properties of materials, with a particular emphasis on atomistic simulations and computational materials science. Key research interests include graph neural networks for interatomic potentials, solid-state NMR predictions, and addressing data challenges in atomistic machine learning. His work bridges machine learning methodologies with fundamental materials science problems, such as charge density wave modulation and hot-electron dynamics. He collaborates with experts like Dr. Andy Anker and Dr. Dmytro, advancing interdisciplinary approaches to materials modeling. No scientific awards are explicitly mentioned in the provided text. His advisory and grant activities are not detailed here, though his postdoctoral position suggests affiliation with the Swiss National Science Foundation. He contributes to Prof. Deringer’s research group, focusing on cutting-edge computational techniques for materials discovery and analysis.