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Dilian GurovView profile

Professor

• Software Specification and Verification
• Multi-Agent Strategic Planning
• Formal Methods
• +3 more

Dilian Gurov is a Professor in Computer Science at KTH Royal Institute of Technology, associated with the Digital Futures Faculty and the Division of Theoretical Computer Science. He also coordinates the Doctoral Programme in Computer Science at the CSC school. Before joining KTH in 2002, he earned a Ph.D. from the University of Victoria, Canada (1998), and worked at the Swedish Institute of Computer Science (1997-2002). His research focuses on software specification and verification, including contracts, program models, logics, and tools, as well as multi-agent strategic planning involving knowledge-based strategies in imperfect information settings. Key contributions include the CAV Distinguished Paper Award 2023 for 'Automatic Program Instrumentation for Automatic Verification' and an EASST award for 'Checking Absence of Illicit Applet Interactions: A Case Study' (2004). He leads projects funded by VR (SEFROS, ContraST) and Vinnova (AVerT2) and collaborates with industries like Scania on formal verification of C programs. His service roles span over 30 conference committees and organization roles, including PC memberships for iFM, TAP, and ISoLA. Teaching responsibilities include courses such as 'Formal Methods,' 'Program Semantics and Analysis,' and 'Knowledge in Games with Imperfect Information.' His work emphasizes practical applications of formal methods, bridging academic research with industry needs through collaborations and tool development (e.g., CVPP, ProMoVer, TriCo).

Christopher JonesView profile

Senior Lecturer

• Organic Chemistry
• Methodology Development
• Heterocyclic Synthesis
• +3 more

Dr. Christopher R. Jones is a Senior Lecturer in the School of Physical and Chemical Sciences at Queen Mary University of London. He holds a MSci in Natural Sciences from the University of Cambridge (2005) and a PhD in Organic Chemistry under Prof. Martin D. Smith (2009). He was a Junior Research Fellow at the University of Oxford (2009–2013) and joined Queen Mary as a Ramsay Memorial Research Fellow in 2013. He received an EPSRC Early Career Fellowship in 2015. His research focuses on developing sustainable organic synthesis methodologies, particularly leveraging aryne chemistry and functional carbon nanomaterials. Key areas include aryne-mediated C(sp³)-H bond functionalization, biologically active heterocycles, and applications in green chemistry. Current research grants include EPSRC funding for catalytic reactive intermediate studies (2015–2021), RSC grants for aryne synthesis (2018–2025), and a PAK UK Education Gateway Mobility Partnership (2023–2024). Dr. Jones supervises multiple PhD students, including co-supervision with Prof. Stellios Arseniyadis. His work has led to publications in high-impact journals like Nature Chemistry and Chemical Science , emphasizing innovations in organic synthesis and materials chemistry.

• Microgrid Control Systems
• Renewable Energy Integration
• Smart Grids
• +3 more

Juan C. Vasquez is a Professor at Aalborg University's Faculty of Engineering and Science, Department of Energy Technology, and Co-Director of the Center for Research on Microgrids (CROM). He holds a PhD in Automatic Control from the Technical University of Catalonia and has held academic positions at Aalborg University since 2011. His research focuses on microgrid control, renewable energy integration, power electronics, and smart grids. He has supervised numerous PhD and master’s students and leads projects funded by EU and national grants. Education: BS in Electronics Engineering (Autonomous University of Manizales, Colombia, 2004); PhD in Automatic Control (Technical University of Catalonia, Spain, 2009). Research interests include operation and control strategies for AC/DC microgrids, maritime microgrids, energy management systems, and IoT integration in smart grids. He has authored 648+ publications, including highly cited works, and received awards like the Young Investigator Award (2019) and Clarivate’s Highly Cited Researcher status since 2017. Key projects: EU-DREAM (Digital Services for Energy Transition), NEST (National Research Infrastructure), and ActRes (Resilience in Energy Systems). Collaborations include Virginia Tech and Ritsumeikan University.

• Algebra
• Number Theory
• Coding Theory
• +3 more

Assoc Prof Frederique Elise Oggier is an Associate Professor in the School of Physical and Mathematical Sciences, Division of Mathematical Sciences at Nanyang Technological University (NTU). She holds a PhD from the Swiss Federal Institute of Technology (EPFL) and has held visiting positions at Caltech and the Research Center for Information Security (Tokyo). Her research focuses on algebraic coding theory, lattice-based cryptography, and applications of number theory to secure and reliable communication systems. Education: Bachelor’s and Master’s in Mathematics from the University of Geneva PhD in Mathematics from EPFL Research Interests: Her work bridges abstract algebra with practical coding challenges, emphasizing lattice codes for wiretap channels, distributed storage systems, and security protocols. Specialized in algebraic structures like cyclic division algebras and modular lattices, her contributions advance both theoretical foundations and real-world implementations of secure communication systems. Publications: Her recent work addresses cutting-edge topics such as MDS codes, non-GRS code constructions, and lattice-based security in noisy channels. These contributions highlight her expertise in coding theory and its interdisciplinary applications. Grants/Advising: While specific grants are not detailed, her prolific publication record reflects sustained research activity. She advises on projects related to distributed storage and secure coding, though student names are not listed in the provided texts. Labs/Teams: Affiliated with NTU’s mathematical sciences division, she collaborates with global researchers on projects such as lattice coding for 5G/6G systems and cryptographic protocols leveraging algebraic number theory.

Guanrui LiView profile

Assistant Professor

• Aerial Robotics
• Control Systems
• Robot Perception
• +3 more

Guanrui Li is an Assistant Professor at Worcester Polytechnic Institute's Robotics Engineering Department and the director of the Aerial-robot Control and Perception Lab (ACP Lab). He holds a Ph.D. in Electrical and Computer Engineering from NYU (2024), an M.S. in Robotics from the University of Pennsylvania (2018), and a B.E. in Theoretical and Applied Mechanics from Sun Yat-sen University (2016). His research focuses on aerial robotics, including control methodologies for collaborative transportation, human-robot interaction, and perception-aware systems. Key contributions include Hybrid Perception-Aware MPC frameworks, cooperative manipulation algorithms, and simulation tools like RotorTM. Education: Ph.D., Electrical and Computer Engineering, NYU (2024) M.S., Robotics, University of Pennsylvania (2018) B.E., Theoretical and Applied Mechanics, Sun Yat-sen University (2016) Research Interests: Control and perception of aerial robots, human-robot collaboration, cooperative manipulation, and autonomous systems. Notable work addresses challenges in payload transportation, sensor fusion, and safety-critical navigation. Awards: NSF CPS Rising Stars (2023) Outstanding Deployed System Paper Finalist (IEEE ICRA 2022) NYU Dante Youla Award (2022) NYU Outstanding Dissertation Award (2024) Lab & Team: ACP Lab focuses on advancing aerial robotics through interdisciplinary research. Current projects include mixed reality interfaces for human-robot interaction and fault-tolerant control systems. Recent collaborations include workshops on Rust for Robotics (ICRA 2025) and embodied-AI for aerial systems (ICUAS 2025).

Regine KellerView profile

Professor

• Landscape Architecture
• Urban Planning
• Climate Change Adaptation
• +3 more

Prof. Regine Keller is a Professor of Landscape Architecture and Public Space at the Technische Universität München (TUM), leading the Department of Architecture within the TUM School of Engineering and Design. Her work focuses on contemporary urban challenges such as climate change, resource management, and the preservation of cultural monuments through innovative landscape architecture solutions. Education background: Studied Art History and Theater Studies at LMU Munich, followed by Landscape Management at TUM. Previously served as Vice President for Studies and Teaching at TUM (2011–2014), and taught at Munich University of Applied Sciences prior to joining TUM in 2005. Active memberships include Bavarian Chamber of Architects, DASL, Bavarian Academy of Fine Arts, and Berlin Academy of Arts. Research interests emphasize public space design that balances ecological, social, and cultural needs. Key projects include the Olympic Park Munich analysis, urban regeneration in Cañada Real Galiana (Madrid), and participatory interventions like the 'Pop-Up-Trees' initiative. Her work highlights democratic engagement with urban green spaces and adaptive reuse of historical sites. Notable awards include the 2013 Bavarian 'Pro meritis scientiae et litterarum' honor for academic contributions, and multiple architecture awards for projects like the Felsennelkenanger student residence. Research outputs span over 50 publications, focusing on landscape architecture's role in urban transformation. Grants and collaborations include projects integrating art installations (e.g., 'waldplastik!' in Nuremberg) with urban planning. Her lab and academic teams address cutting-edge topics such as climate-responsive urban design and the socio-political dimensions of public space.

Omar HegazyView profile

Professor

• Power Electronics Systems
• Electric Vehicles
• Battery Management Systems
• +7 more

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

Bruno C.d.S. OliveiraView profile

Associate Professor

• Programming Languages
• Modularity
• Functional Programming
• +1 more

Dr. Bruno C.d.S. Oliveira is an Associate Professor at the University of Hong Kong's School of Computing and Data Science (SCDS), Department of Computer Science. He holds a DPhil from the University of Oxford (2008). Prior to his current position since 2013, he served as Research Professor at Seoul National University (2009-2011) and Senior Research Fellow at the National University of Singapore (until 2013). His research interests focus on Programming Languages , Modularity , Functional Programming , and Object-Oriented Programming . His work emphasizes foundational aspects like type systems, language design, and extensibility mechanisms. Notable articles include studies on type class implementations, functional graph programming, and meta-theoretical frameworks for programming language constructs. His research has been published in top venues such as POPL, PLDI, ECOOP, and ICFP. No scientific awards are explicitly mentioned in the provided text. Advising records and grant details are not listed, though his academic homepage at http://www.cs.hku.hk/~bruno may contain additional information.

Henning UrlaubView profile

Professor

• Proteomics
• Mass Spectrometry
• Structural Biology
• +4 more

Henning Urlaub serves as Professor at the University Medical Center Göttingen (UMG) and Research Group Leader of the Bioanalytical Mass Spectrometry group at the Max Planck Institute for Multidisciplinary Sciences. His group maintains dual operations: the primary facility at the Max Planck Institute providing proteomics services as a Core Facility, and a branch laboratory at UMG's Institute for Clinical Chemistry comprising both the Proteomics Research Group and Proteomics Service Facility. The group sustains long-term collaborations including the Center for Internal Medicine at University Hospital Frankfurt/Main. Urlaub's research specializes in high-sensitivity protein analysis using electrospray ionization (ESI) and MALDI mass spectrometry, with core projects in high-throughput proteomics, detection of post-translational modifications, quantitative protein analysis, and structural characterization of protein complexes and protein-nucleic acid interactions. Recent breakthroughs include deciphering modular assembly of mitochondrial protein factories and identifying long-lived proteins essential for egg cell maintenance, demonstrating significant contributions to cellular machinery understanding. The Bioanalytical Mass Spectrometry group actively supports the research community through its Core Facility services while pursuing clinically relevant projects at UMG. Current work focuses on mitochondrial function and reproductive biology, reflecting Urlaub's leadership in advancing mass spectrometry applications for complex biological systems.

Xiao-Ping ZhangView profile

Professor

• Electrical Power Systems
• Smart Grids
• High-Voltage Direct Current (HVDC)
• +15 more

Professor Xiao-Ping Zhang is a full-time Professor of Electrical Power Systems at the Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, UK. He holds leadership roles as Director of Smart Grid at the Birmingham Energy Institute and Co-Director of the Birmingham Energy Storage Centre (sponsored by EPSRC), and leads the Electrical Power & Control Systems Group. PhD in Electrical Engineering, 1993 MSc in Electrical Engineering, 1990 BEng (Hons) in Electrical Engineering, 1988 His research focuses on the transformation of modern power systems, with core interests in Smart Grids, HVDC and FACTS technologies, renewable energy integration (wind and wave), control of PHEVs in power grids, energy markets using game theory, smart metering, distributed energy management, and wide-area grid awareness. He pioneered the concepts of 'Global Power & Energy Internet' and 'Energy Union,' the latter adopted by the European Commission, and envisioned the Midlands as the UK’s 'Energy Valley,' now realized through national initiatives. His recent publications reflect a strong trend in advancing HVDC/FACTS control, stability analysis in renewable-rich grids, energy storage integration, smart grid optimization, and market modeling. The articles span high-impact journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid, demonstrating sustained leadership in electrical power engineering. IEEE Fellow IET Fellow Alexander-von-Humboldt Fellow Foreign Fellow of Chinese Society for Electrical Engineering (CSEE) Professor Zhang has secured substantial research grants from UK Government (Science City Initiative), EPSRC, FP7 EU Smart Energy Network Programme, and industry partners. He advises doctoral students in key areas of power systems and smart grids. He established two advanced laboratories at the University of Birmingham: the Smart Power Grid Laboratory and the Real-time Power Grid Simulation, Measurement, Protection and Control Laboratory. He also initiated the UK-China Smart Grid Workshop series, leading to 13 joint research projects. He is actively involved in professional leadership, serving as Editor for IEEE Transactions on Smart Grid and IEEE Transactions on Power Systems, IEEE PES Distinguished Lecturer, Secretary of IFAC Technical Committee on Power and Energy Systems Control, and Co-Chair of the IEEE PES Working Group on Test Systems for Economic Analysis. He has contributed to UK national energy policy, including reports for the Prime Minister’s Council for Science and Technology.

Adrian ClingherView profile

Associate Professor

• Algebraic Geometry
• Data Science
• Machine Learning
• +6 more

Adrian Clingher is an Associate Professor in the Department of Mathematics and Statistics at the University of Missouri-St. Louis (UMSL), within the College of Arts and Sciences. His research spans algebraic geometry, mathematical physics, and data science, with particular focus on K3 surfaces, modular forms, and string dualities. PhD in Mathematics, Columbia University (2002) Research interests include: Algebraic Geometry of special surfaces and fibrations Mathematical aspects of string theory dualities Data science and machine learning applications Moduli spaces and lattice polarizations Connections between algebraic geometry and number theory Recent work (2021-2025) examines K3 surfaces with specific automorphism groups, Néron–Severi lattice structures, and isogenies of abelian varieties. Publications often involve collaborations with A. Malmendier, C. Doran, and T. Shaska, exploring geometric structures relevant to theoretical physics. As Graduate Director for UMSL's Master's Program in Mathematics, Clingher oversees both Traditional Mathematics and Data Science emphases. Teaching includes courses like Discrete Structures and Statistical Learning & Modeling (Spring 2025). Contact: clinghera@umsl.edu | Office: ESH 350 | Phone: (314) 516-6338

• Nuclear Safety
• Risk Assessment
• Reactor Technology
• +7 more

Nikolaus Müllner is a researcher at the Institute of Safety and Risk Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work centers on nuclear safety, reactor technology, risk assessment, and thermal-hydraulic modeling, particularly for VVER-type reactors. He actively contributes to international nuclear safety discourse through conferences and peer review. His research interests include nuclear reactor safety, severe accident analysis, licensing of small modular reactors, best estimate plus uncertainty (BEPU) methods, and environmental impact assessments in nuclear contexts. He applies simulation tools like RELAP5, MELCOR, and SCDAPSIM to analyze accident scenarios and validate safety systems. His expertise spans both technical and policy aspects of nuclear energy. Müllner has delivered numerous lectures at international conferences such as NURETH, ICONE, and IAEA events, focusing on topics like core damage frequency, station blackout scenarios, and aging management. His recent publications reflect a trend toward integrating technical safety analysis with regulatory and societal considerations, particularly in European contexts. He has served as a reviewer for journals including Energy Strategy Reviews , Progress in Nuclear Energy , and International Journal of Disaster Risk Reduction , contributing to the scientific quality of research in energy and risk domains. Supervision and Community Engagement: Supervised master’s theses on topics such as small modular reactor safety, RELAP5 modeling, and environmental aspects of nuclear licensing. Active in international research networks like INRAG (International Nuclear Risk Assessment Group). Engaged in public knowledge transfer through lectures and media contributions on nuclear policy and safety. Laboratories and Research Groups: While not explicitly tied to a specific lab, his work is closely associated with nuclear simulation and risk assessment frameworks, likely involving collaboration with experimental facilities such as the PSB-VVER test facility. His research is conducted within the interdisciplinary environment of BOKU’s Safety and Risk Sciences department.

Michael NeumayrView profile

Adjunct Associate Professor

• Spatial Experience Design
• Environmental Design
• Product Design
• +12 more

Michael Neumayr is an Adjunct Associate Professor in Spatial Experience Design at ArtCenter College of Design’s Graduate Environmental Design program, where he contributes to the education of future design innovators. His professional practice, Neumayr Design, is based in Los Angeles and specializes in high-end residential, product, furniture, commercial, and exhibition design. His research and creative interests span spatial experience design, wellness environments, sustainable design, interactive furniture systems, and the integration of technology in living and public spaces. He emphasizes user-centered, sensory-rich environments that blend classical aesthetics with modern innovation. The body of his work, as seen in projects like the Villa Munich and Aquamoon shower system, reflects a consistent trend toward holistic, immersive experiences that engage all senses. His designs often incorporate advanced technology, sustainable materials, and meticulous craftsmanship, particularly evident in wellness architecture and smart furniture. Good Design 2019 NYC-x Design 2018 | Best Product of the Year Stylepark 2018 | Most Innovative Product Good Design 2008 Permanent Collection | Chicago Athenaeum Museum of Architecture and Design Gute Gestaltung 2009 DDC Award Nominated for Designpreis der Bundesrepublik Deutschland 2010 Finalist IDEA International Design Excellence Award 2009 Nominated for Designpreis Deutschland 2009 iF Design Award 2007 Michael Neumayr has led significant design projects and collaborations, including with Hiller Gruppe and Atelier Schneeweiss, resulting in award-winning products and installations. While no formal advising or grant history is documented, his academic role suggests mentorship of graduate students in design innovation and spatial storytelling. His studio functions as a design lab, integrating research, prototyping, and real-world application across residential, commercial, and exhibition domains. Projects like the i-tech chair and Villa Munich spa illustrate a team-based, interdisciplinary approach to solving complex spatial and functional challenges.

Leila Moslemi NaeniView profile

Senior Lecturer

• Project Management
• Fuzzy Methods
• Mathematical Modelling
• +5 more

Dr. Leila Moslemi Naeni is a Senior Lecturer at the University of Technology Sydney (UTS), School of Built Environment, with a dual appointment in the Faculty of Design, Architecture and Building. She previously served as a Lecturer at UTS (2016-2018) and Sessional Lecturer at Curtin University (2015-2016). PhD in Computer Science (University of Newcastle, 2017) MSc in Industrial Engineering (Sharif University of Technology, 2007) BSc in Industrial Engineering (Iran University of Science and Technology, 2004) Her research focuses on project management under uncertainty, integrating fuzzy systems and mathematical modeling with applications in construction, ESG reporting, and disruptive technologies. She developed innovative methods for statistical control charts in project monitoring and leads research on leveraging blockchain and digital tools for sustainable infrastructure. Recent publications highlight her work on resource-constrained scheduling algorithms, ESG integration in megaprojects, and gamification in project management education. She serves as Review Editor for Frontiers in Environmental Science and on the Editorial Board of Smart and Sustainable Built Environment . 2016 PMI NSW Research Award 2022 Walt Lipke Award 2013 FEBE Postgraduate Research Prize As an active research mentor, she supervises PhD students in machine learning applications, disaster management technologies, and social infrastructure investments. Her teaching emphasizes simulation-based learning, collaborating with Oulo University (Finland) to quantify educational value.

• Artificial Intelligence
• Knowledge Graphs
• Semantic Technologies
• +5 more

Dr Zhe Wang is a Senior Lecturer at the School of Information and Communication Technology, Griffith University, focusing on artificial intelligence, knowledge graphs, and semantic technologies. He earned his PhD in Computer Science from Griffith University (2011) and previously worked as a Research Fellow at the University of Oxford (2011-2013) on ontology-based systems. Research: Specializes in knowledge graph construction, rule mining for explainable AI, and integrating machine learning with logical reasoning. Led development of the scalable RLvLR rule-mining system and contributed to the HermiT ontology reasoner. Teaching: Instructs undergraduate and postgraduate courses including Introduction to Artificial Intelligence, Secure Development Operations, and Software Engineering Fundamentals. Grants: Funded by Australia's Economic Accelerator Ignite Grant (2025) for AI-driven marine life survey systems and Office of National Intelligence projects (2021-2022). Publications: Active in top venues like AAAI, ICASSP, and ISWC, with recent work on temporal knowledge graph reasoning, auction design algorithms, and neurosymbolic AI systems.