Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).
Funlade Sunmola is a Principal Lecturer in Manufacturing and Industrial Engineering at the University of Hertfordshire , affiliated with the School of Engineering and Computer Science and the Department of Engineering and Technology. He holds a PhD in Computer Science (Artificial Intelligence and Robotics) from the University of Birmingham and has nearly 40 years of professional experience across civil engineering, manufacturing, healthcare, and academia. Education: BEng (Hons) in Civil Engineering, Ahmadu Bello University MSc in Industrial Engineering, University of Ibadan MA in Accounting and Finance, Birmingham City University MPhil in Manufacturing Engineering, University of Birmingham PhD in Computer Science, University of Birmingham Research Interests: Focuses on Applied Artificial Intelligence , Sustainable and Smart Industries , and Industry 4.0 . Key areas include supply chain visibility, blockchain integration, machine learning applications in manufacturing, and virtual engineering. Leads the Duncan Calder Virtual Engineering Lab and oversees MSc Online Engineering Programmes. Grants & Projects: PI of LINK: Digital Direct Connection for Salvage Construction Materials (Circular Economy) PI of N-BICC: Cassava Innovation Deployment Co-I in Solar Cool System (So-Cool) for Smallholder Farmers Labs/Teams: Heads the Duncan Calder Virtual Engineering Lab , focusing on immersive technologies and virtual product design.
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.
Dr. Helen Cai is a Senior Lecturer in International Business and Circular Economy at Middlesex University Business School, where she serves as Programme Leader for the BA International Business Administration and BA Business Management (Top-Up). She also leads the Doctor of Business Administration (DBA) programme delivered in China through a partnership with United Business Institutions (UBI). Additionally, she holds a Full Visiting Professorship at Jiaxing University, China. Her academic leadership extends to editorial roles as Senior Editor of Cogent Business and Management and member of the editorial board of the Journal of World Business . She is Vice President of Marketing for the International Case Study Research Association (ICRA). Dr. Cai’s research focuses on international business, sustainability, green innovation, and corporate environmental governance. She employs advanced methodologies such as fuzzy-set qualitative comparative analysis (fsQCA), econometrics, and scientometric analysis. Her work addresses critical issues including green supply chains, carbon emissions, foreign direct investment, and institutional influences on innovation. The 15 most recent publications highlight a strong trend toward environmental sustainability, circular economy, and data-driven policy analysis. Her recent work spans blockchain in green supply chains, AI in rehabilitation, carbon governance, land use, and migration policy, demonstrating interdisciplinary breadth and policy relevance. Bronze award, The First National Collegiate Olympiad Mathematical Mirror Competition (2022) Honourable Mention, Interdisciplinary Contest in Modelling (2022) First Prize, Asia and Pacific Mathematical Contest in Modelling (2021) Third Prize, THE International Case Competition (2021) Dr. Cai has extensive supervisory experience, currently guiding multiple PhD candidates and having chaired over 30 DBA viva panels. She has supervised over 60 BA, 150 MSc, and 75 MBA dissertations. She has participated in 72 PhD/DBA committees in roles including external examiner, internal examiner, and panel chair. Her grants and funding are not explicitly mentioned, but her research output and editorial roles suggest sustained scholarly engagement. She leads research teams focused on circular economy and international business, and her future work is likely to expand into AI-driven sustainability analytics, cross-border green innovation, and climate governance. Her prior industry experience as a Senior Economist at China’s Central Bank enriches her applied research perspective.
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.
Thomas Pasquier is an Assistant Professor in the Department of Computer Science at the University of British Columbia, where he is affiliated with both the UBC Security & Privacy Group and the Systopia Lab. His research focuses on designing and implementing computer systems that are inherently observable and transparent, with particular emphasis on security, privacy, and system accountability. Dr. Pasquier earned his PhD in Computer Science from the University of Cambridge in 2016, following an MPhil in Advanced Computer Science from the same institution in 2012. His educational background also includes a Diplôme d'Ingénieur from Institut Supérieur d'Electronique de Paris and a Diplôme Universitaire de Technologie from Conservatoire National des Arts et Métiers. His primary research interests span Security, Intrusion Detection, Digital Provenance, Operating Systems, Distributed Systems, Data Protection, and Privacy. His work specifically addresses the design of systems with built-in observability and transparency mechanisms, focusing on provenance-based security solutions. Analysis of his recent publications reveals a consistent focus on provenance-based intrusion detection systems, with significant contributions in making these systems more practical, usable, and robust. His research also extends to eBPF technology in the Linux kernel, exploring security applications and performance optimizations. Amazon Research Award 2023 for Building Robust Provenance-based Intrusion Detection Incredible Instructor Award Dr. Pasquier has advised numerous graduate students at both UBC and the University of Bristol, where he previously held an Assistant Professor position. His students have gone on to careers at major technology companies including Amazon, Salesforce, Huawei, and Oracle Labs. He has served on program committees for prestigious conferences including ACM ASPLOS, EuroSys, USENIX Security, and ACM CCS. His research is conducted within the Systopia Lab at UBC, which focuses on systems research broadly construed, with particular emphasis on security, privacy, and performance optimization. The lab collaborates with industry partners including Amazon through the Amazon Research Awards program.
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.
Patryk Pawlak serves as a Part-time Professor at the Robert Schuman Centre for Advanced Studies at the European University Institute in Florence, Italy, and functions as Project Director for the Global Initiative on the Future of the Internet (GIFI), a two-year project funded by the European Union. Dr. Pawlak earned his PhD in Social and Political Sciences from the European University Institute, establishing the academic foundation for his expertise in digital governance. His educational background complements his practical experience in international cyber policy development and implementation. His research concentrates on global governance of digital and cyber issues, examining how technology impacts foreign and security policy and analyzing the European Union's evolving role in cyber and digital diplomacy. Dr. Pawlak specifically investigates how cyber and digital policies are reshaping the multilateral system, with particular attention to frameworks for responsible state behavior in cyberspace and operational approaches to cyber capacity building. Analysis of his recent publications reveals consistent thematic focus on accountability mechanisms in cyberspace, EU cyber strategy development, and practical frameworks for international cyber cooperation. His work spans cybersecurity, international relations, and digital policy domains, demonstrating the interdisciplinary nature of contemporary cyber governance research. Dr. Pawlak advises governments, international organizations, and EU initiatives on cyber diplomacy matters. His leadership of the EU Cyber Diplomacy Initiative (EU Cyber Direct) from 2018-2022 secured significant funding and shaped EU engagement on cyber diplomacy worldwide. He has coordinated numerous EU Cyber Consultations with countries including Brazil, China, India, South Korea, Japan, and the United States, demonstrating extensive international collaboration. Actively engaged in multilateral cyber processes at the United Nations, Dr. Pawlak also serves as a Visiting Scholar at Carnegie Europe. His previous affiliations include the European Parliamentary Research Service, Johns Hopkins University, Georgetown University, and the Centre for European Policy Studies, reflecting his established position in both academic and policy circles.
Prof. Dr.-Ing. Marc Reichenbach serves as the Chair of Integrated Systems at the Institute for Applied Microelectronics and Data Technology at the University of Rostock. His office is located at Albert-Einstein-Straße 26, 18059 Rostock, Room 102 (1st floor), with contact information including telephone (0381) 498 7270 and email marc.reichenbach@uni-rostock.de. Professor Reichenbach's research focuses on the intersection of hardware design and artificial intelligence, with particular expertise in memory technologies and computing architectures. His work spans several key areas: Development of specialized computer architectures for deep learning applications Advanced VLSI design and CPU architecture Emerging memory technologies, particularly RRAM (Resistive Random-Access Memory) FPGA-based acceleration systems Hardware implementations for neural networks and AI applications Analysis of Professor Reichenbach's recent publications (2023-2025) reveals a strong focus on memory computing technologies, particularly RRAM-based systems. His work demonstrates expertise across multiple dimensions of computer architecture including ASIC design, FPGA acceleration, and novel memory systems. The publications show a clear trajectory toward implementing AI and machine learning capabilities directly in hardware, with applications ranging from edge computing to satellite systems. A significant portion of his recent work addresses the challenges of implementing neural networks using emerging memory technologies, focusing on efficiency, reliability, and performance optimization. Professor Reichenbach teaches several advanced courses including: Computer architectures for deep learning applications Project seminar Embedded Systems Advanced VLSI Design (Advanced CPU Design) His research group appears to be actively engaged in several cutting-edge projects related to hardware acceleration for AI applications, memory computing, and embedded systems design. The group collaborates on projects involving digital twins for hardware systems, real-time operating systems for heterogeneous architectures, and specialized computing systems for various applications from medical devices to drone technology.
Patrick Jaillet is the Dugald C. Jackson Professor in the Department of Electrical Engineering and Computer Science at MIT's School of Engineering. He holds joint appointments with the Laboratory for Information and Decision Systems (LIDS), the Operations Research Center (ORC), the Operations Research and Statistics Group at MIT Sloan, and the Department of Civil and Environmental Engineering. Previously, he served as Head of Civil and Environmental Engineering at MIT (2002-2009) and Chair of the Department of Management Science and Information Systems at UT Austin (1997-2002). Dr. Jaillet's research focuses on online optimization and learning, sequential decision-making under uncertainty, and security and resilience in complex networks. His work spans theoretical foundations in optimization and machine learning with applications in transportation, online market analytics, and network security. He has developed mathematical frameworks for problems involving uncertainty, dynamic resource allocation, and strategic behavior in complex systems. His recent publications reveal strong trends in bridging theoretical optimization with practical machine learning applications. Key themes include Bayesian optimization for black-box functions, online learning with limited information, mechanism design for resource allocation, and network security applications. His work increasingly integrates large language models with traditional optimization techniques, reflecting the evolving landscape of AI-driven decision-making systems. Fulbright Scholar (1990) Fellow of the Institute for Operations Research and Management Science (INFORMS) Best Applications Paper Award at ICAPS 2019 Long-standing Associate Editor for top journals including Operations Research and Transportation Science Dr. Jaillet has advised over 40 doctoral students who now hold prominent positions in academia and industry, including faculty positions at MIT, Georgia Tech, and ETH Zurich, and research scientist roles at Amazon, Microsoft Research, and Google. His research has been consistently funded by major agencies including NSF, ONR, AFOSR, and international partners like Singapore NRF, with current projects focusing on learning algorithms for autonomous security and fundamental tradeoffs in optimization. He leads a vibrant research group spanning MIT's EECS department and ORC, with current funding supporting work on neural bandits, federated optimization, and network security applications. His research group operates at the intersection of theory and practice, with strong connections to industry through collaborations with IBM, Microsoft, Google, and various transportation and technology companies. The group maintains active partnerships with international institutions, particularly through SMART in Singapore, reflecting Dr. Jaillet's global research impact.
Kevin Hong is a Professor and Miami Herbert Centennial Endowed Chair at the University of Miami's Miami Herbert Business School , where he also serves as Associate Dean for Research. His work focuses on information systems and digital platform design. Current roles: Professor, Centennial Endowed Chair, Associate Dean for Research Email: yxh1034@miami.edu ORCiD: 0000-0002-0577-7877 Research Interests: Kevin Hong's work explores digital privacy, user engagement, and behavioral economics across online platforms. His studies examine: Temporal cues in online learning environments Privacy-enhancing designs in dating applications AI implementation in customer service Content generation incentives in knowledge platforms Labor dynamics in gig economy marketplaces Publication Trends: Recent studies demonstrate expertise in field experimentation, behavioral analytics, and platform economics. Key methodologies include: Randomized controlled trials Difference-in-differences modeling Large-scale observational studies
Nina Huang is a Professor in the Business Technology Department at the Miami Herbert Business School, University of Miami. Her research spans the intersection of information systems, digital platforms, and human behavior in online environments. Her primary research interests include Human-AI Interaction, Online Education and Knowledge Exchange, Online Matching Platforms, Online Healthcare, Future of Work, Social Media Analytics, Digital Commerce, and Online Content Platforms. Dr. Huang employs experimental methods to investigate how digital design features impact user behavior across various online contexts including dating platforms, labor markets, e-commerce, and healthcare systems. Analysis of Dr. Huang's recent publications reveals a strong focus on human-centered design of digital platforms, with particular attention to temporal cues in online learning, privacy-enhancing designs in social platforms, AI implementation in customer service, and information disclosure mechanisms in matching markets. Her work consistently combines rigorous experimental methodologies with practical implications for platform design. Dr. Huang's research has been published in top-tier information systems and operations management journals including Information Systems Research, MIS Quarterly, and Production and Operations Management. Her work demonstrates a pattern of impactful field experiments conducted in partnership with real-world platforms across multiple industries.
Professor Bela Buck is a Marine Biologist and Head of the Unit for Marine Aquaculture within the Shelf Sea System Ecology department at the Alfred Wegener Institute. He also holds a professorship for Applied Marine Biology at the University of Applied Sciences Bremerhaven, has the right to award doctorates at the University of Bremen, and serves as an Affiliated Professor at Klaipeda University. His leadership extends to chairing the ICES Working Group on Open Ocean Aquaculture (WGOOA). Professor Buck's research focuses on applied marine biology and maritime technologies , with particular expertise in offshore and exposed aquaculture systems . His work addresses critical challenges in multi-use of offshore wind farms , shellfish and seaweed cultivation , culture techniques and system design , and site selection for marine aquaculture operations. His research bridges biological sciences, engineering, and policy development to advance sustainable marine resource utilization. An analysis of his recent publications (2022-2024) reveals a clear trend toward standardizing terminology and metrics for exposed aquaculture environments, developing integrated multi-use platforms combining renewable energy infrastructure with aquaculture, and optimizing cultivation techniques for shellfish and seaweed. His work increasingly addresses sustainability challenges, focusing on circular economy principles, resource efficiency, and climate change adaptation in marine food production systems. Professor Buck leads the AWI-Working Group 'Marine Aquaculture' and collaborates extensively with international research teams across Europe and beyond. His work has significant implications for marine spatial planning, sustainable food production, and blue economy development. He maintains strong connections with both academic institutions and industry partners to ensure practical applications of research findings. His laboratory and field work focuses on developing and testing aquaculture systems for exposed environments, with particular emphasis on site assessment methodologies, structural design for high-energy marine environments, and optimizing cultivation protocols for various marine species. The research group maintains close ties with offshore energy developers, aquaculture operators, and policy makers to ensure research addresses real-world challenges.
Stuart Rollo serves as a Research Fellow at the Centre for International Security Studies within the Faculty of Arts and Social Sciences at the University of Sydney. He currently leads research on the Quantum Meta-Ethics project, examining geopolitical implications of emerging quantum technologies. Rollo's scholarly work centers on critical analyses of geopolitics, imperial history, and US-China relations. He actively engages public discourse through regular contributions to major international media outlets including The New York Times, The Wall Street Journal, The Guardian, and ABC, where he addresses contemporary security challenges and cultural-political dynamics. His recent publications reveal a dual focus: quantum technology's transformative potential for global security architecture (evident in 2024's 'Quantum 3.0' and 2023's 'Quantum Warfare'), and historical examinations of American empire with direct relevance to current US-China tensions (culminating in his 2023 monograph 'Terminus'). This intersection of historical analysis and future-oriented security studies defines his scholarly trajectory. Rollo operates within the Centre for International Security Studies, a multidisciplinary research hub addressing evolving global security challenges through critical theoretical frameworks and policy-relevant scholarship.
Dong Li is an Associate Professor at the University of California, Merced , where he directs the Parallel Architecture, System, and Algorithm Lab (PASA) and co-directs the High Performance Computing Systems and Architecture Group . He co-founded Yotta Labs Inc. and previously held research roles at Oak Ridge National Laboratory (2011-2014) and a PhD from Virginia Tech. Research Interests: Dong's work focuses on High performance computing (HPC) Memory heterogeneity and non-volatile memory Systems for machine learning and AI Fault tolerance in large-scale systems His innovations include heterogeneous memory optimization for recommendation models and GNNs, CXL memory integration, and persistent memory debugging tools. Recent Publications highlight advancements in CXL-based inter-node communication Memory tiering for laminography reconstruction ML-guided memory optimization for DLRM and GNN Fault tolerance benchmarks and error analysis Awards & Recognition: NSF CAREER Award (2016) Oracle Research Award (2022) ASPLOS Distinguished Artifact Award (2021) Virginia Tech Early Career Alumni Award (2023) Advising & Funding: Dong has mentored 22 students (8 PhD, 6 Master’s, 8 undergraduates) and secured grants from NSF, NVIDIA, Meta, and national labs (Argonne, Lawrence Berkeley, Lawrence Livermore). Collaborations include Microsoft (DeepSpeed, Intel PMDK), AMD, SK Hynix, and Intel/MICRON hardware donations.
