Dr. Paul Harvey is a Lecturer in Low Carbon and Sustainable Computing at the School of Computing Science, University of Glasgow. He specializes in autonomous systems, focusing on safe and meaningful fully-autonomous technologies for design and operation. His roles include co-chair of the UN’s ITU-T Focus Group on Autonomous Networks and visiting researcher at the University of Strathclyde. Industrial experience includes co-founding Rakuten Mobile Innovation Studio, emphasizing open and collaborative research. Research interests span autonomous networks, digital twins, federated learning, and edge computing. Recent work includes digital twin generation for network testing and task offloading strategies in edge-based systems. He actively contributes to standards development (e.g., OntoCommons) and blockchain-based trust frameworks for autonomous systems. His advising includes student Shijia Dong on software modularization using LLMs. Grants and collaborations are managed via his institutional profile. His lab focuses on cross-disciplinary projects at the intersection of networking, AI, and sustainability.
Professor Arnold Beckmann is a Professor of Computer Science at Swansea University, part of the Faculty of Science and Engineering, within the School of Mathematics and Computer Science. He previously served as Head of Department from 2014 to 2021. His research focuses on Mathematical Logic, Theoretical Computer Science, Blockchain Technology, and their applications in Industry 4.0. He leads initiatives such as the Zienkiewicz Institute for Modelling, Data and AI, the Grenoble-Swansea Centre for AI, and is involved in the Wales Data Nation Accelerator. He has led projects on hybrid AI for manufacturing supply chains, blockchain applications, and semantic technologies. Beckmann has been awarded the Leopoldina and Marie-Curie fellowships and has publications in areas including proof complexity, ontology engineering, and cybersecurity. He supervises PhD students in topics like blockchain licensing, smart contracts, and steelmaking analytics. His work bridges foundational theory with real-world industrial challenges. Education: PhD and Habilitation in Mathematics from University of Münster (Germany). Research Highlights: Over 60 publications, including work on bounded arithmetic, blockchain verification, and Industry 4.0 applications. Research interests include foundational logic, computational complexity, and applying these to manufacturing and smart systems. His work on semantic technologies integrates domain knowledge with machine learning for process optimization. Grants include EPSRC, Royal Society, and EU funding. Beckmann also co-leads the Swansea Blockchain Lab and contributes to global academic networks like The Proof Society.
Professor Hari Harindranath is a distinguished academic affiliated with the School of Business and Management at Royal Holloway, University of London , where he serves as a Professor in the Department of Information and Operations Management . His research and teaching have earned significant recognition, including multiple best paper awards and teaching honors. Doctoral studies supported by LSE 1980s' Scholarship Fund, British Chevening Scholarship, and Overseas Research Student Award Recipient of 16 scientific awards spanning 1992-2025 Active in digital transformation, ICT, and socio-technical systems His research interests focus on the intersection of digital technologies , business operations , and societal impact , particularly in SMEs and migrant communities. Key subfields include cybersecurity, digital inclusion, and virtual education. Notable scientific awards include: 1992–1994: Scholarships for LSE doctoral studies 1997: Organisational Leadership Award 2008–2025: Best Paper and Teaching Prizes across global conferences As a supervisor of 6 research outputs , he contributes to academic development while leading collaborative projects like the Centre for Critical and Historical Research on Organisation and Society .
Professor Daqing Ma holds the British Oxygen Company (BOC) Chair of Anaesthesia and serves as Head of Anaesthesia in Imperial College London's Department of Surgery and Cancer. He previously held roles such as Macintosh Professor (2014-2016) and has been recognized with awards including the Rex Ierlm Medal and Hall of Fame Award. His research focuses on noble gases' protective effects (xenon/argon) in critical care, organ transplantation, and oncology. Notably, his work established xenon's role in neonatal brain injury and adult cardiac arrest, influencing clinical trials and WADA doping regulations. Recent studies explore anaesthetics' impact on cancer behavior and postoperative cognitive decline in the elderly, leading to improved perioperative strategies. His H-index (58/Web of Science, 70/Google Scholar) reflects over 17,000 citations, underscoring his profound impact on surgical sciences. Research Highlights: Pioneer of xenon/argon organoprotection mechanisms First to link anaesthetics to cancer cell malignancy via HIF-1α Leads investigations into postoperative cognitive decline and delirium prevention Awards: 2013: FRCA Fellowship by Election 2014: Macintosh Professor & Rex Ierlm Medal 2015: Chinese Anaesthesiology Development Contribution Award 2018: International Academy of Anesthesiology Hall of Fame Key Contributions: Translational research in xenon therapy, perioperative care optimization, and anaesthetic oncology effects. His work has directly influenced clinical practices in critical care, transplantation, and elderly surgical patient management.
Dr. Shawon S. M. Rahman is a tenured Professor in the Department of Computer Science and Engineering at the University of Hawaiʻi at Hilo (UH Hilo), a recognized Native Hawaiian, Pacific Islander, and Minority Serving Institution. He holds an adjunct faculty position in Cybersecurity at the University of Missouri-Kansas City (UMKC). He is currently a Faculty Applied Clean Energy Sciences (FACES) Fellow at the National Renewable Energy Laboratory (NREL), U.S. Department of Energy (DOE). With 18+ years of teaching experience, he has advised 15 Ph.D. graduates and contributed to numerous dissertation committees. He serves as Editor-in-Chief of the International Journal on Cryptography and Information Security (IJCIS) and reviews for over 15 conferences/journals. His roles include Chair of the Chancellor Access Committee, member of NSF Review Panels, and leadership in IEEE/ACM conferences. Dr. Rahman’s education includes a Ph.D. in Software Engineering from North Dakota State University, an M.S. in Computer Science (same institution), and a B.S. in Chemical Engineering from Bangladesh University of Engineering & Technology. His research focuses on Cybersecurity, Information Assurance, STEM Outreach, Digital Forensics, and IoT Security. He has secured grants from NSF, USDA, and DOE, and collaborates with schools to promote STEM education and Cybersecurity Career Pathways. His article trends emphasize IoT security, cybersecurity frameworks, and behavioral science in security practices. He actively addresses vulnerabilities in medical devices, cloud computing, and mobile applications. Professional affiliations include IEEE (senior member), ACM, ISACA, and ASEE. He advises the UH Hilo Robotics Club and chairs programs like Cybersecurity and Digital Forensics. Dr. Rahman’s service extends to Hawaii’s statewide science assessment program and initiatives like the Hawaii Statewide Assessment Program (HSAP). His work bridges academia and industry through applied research in clean energy sciences and cybersecurity innovations.
Professor Nuria Lorenzo-Dus is a leading academic at Swansea University's Department of Applied Linguistics, holding a Personal Chair since 2011. She serves as the University’s Dean of Postgraduate Research since 2017 and founded the Language Research Centre (2010–2015). Her research focuses on Discourse Analysis in digital and broadcast media, particularly examining cyber-threats, online grooming, terrorism propaganda, and political communication. Key projects include the DRAGON-S initiative (2021–2022), funded by the End Violence Fund, which integrates AI and linguistics to combat child online exploitation. She also contributes to Swansea’s Cyber Threats Research Centre and Digital Humanities Centre. Her expertise spans corpus-assisted discourse studies, multimodal analysis, and digital manipulation. Notable works include Online Child Sexual Grooming Discourse (2023, Cambridge UP) and Digital Grooming: Discourses of Manipulation and Cyber-Crime (2022, Oxford UP). Research highlights include analyzing jihadist magazines (e.g., Inspire/Dabiq), far-right social media strategies (e.g., Britain First), and online conspiracy theory discourse. She has advised on youth justice communication protocols and collaborates internationally across Spain and Latin America. Dr. Lorenzo-Dus has supervised over 15 PhD students focusing on topics like mock jury deliberations, dialect mapping across UK-Welsh borders, and radical right online communities. She holds editorial roles in journals like Journal of Language Aggression and Conflict and Memory Studies .
Lynn McAllister is a research-focused academic at Queensland University of Technology's School of Education, Department of eLearning Services, with over 15 years of specialized expertise in ePortfolio systems and digital pedagogy. Her work bridges educational technology, information literacy, and professional development across higher education and health professions. Her research interests center on ePortfolio pedagogy , digital assessment frameworks , and reflective learning systems , with significant contributions to sustainable implementation models in Australian higher education. McAllister pioneered the Australian ePortfolio Project (2008-2011), establishing evidence-based frameworks for institutional adoption that remain influential in educational technology circles. Analysis of her 15 most recent publications reveals consistent focus on authentic assessment design , community of practice development , and cross-disciplinary applications – particularly the 2023 shift toward health professions education where she co-developed implementation frameworks for medical training programs. Her work demonstrates sophisticated understanding of both technical implementation and pedagogical transformation. McAllister's research trajectory shows evolution from foundational work in library and information science (2004-2008) toward contemporary applications in health education, maintaining consistent methodology in case study analysis and implementation frameworks. Her publications in Medical Teacher and Journal of Computing in Higher Education demonstrate successful translation of educational technology principles across disciplinary boundaries.
Miguel L. Pardal is an Assistant Professor at Instituto Superior Técnico, Universidade de Lisboa, and a researcher at INESC-ID's Distributed Systems Group (GSD). His work focuses on Cybersecurity, Distributed Systems, Internet of Things (IoT), and Cloud Computing. He has led projects like the EU-funded Safe Cloud initiative and contributed to intrusion recovery systems (e.g., MIRES, μVerum) and blockchain-based solutions (e.g., ChainGuard, EvoChain). His research addresses challenges in secure communication, resilient distributed architectures, and location-based systems. Since 2002, he has taught courses on Network Security, Distributed Systems, and Operating Systems. His projects often intersect academia and industry, emphasizing practical applications in critical infrastructure and smart technologies. Collaborations include developing systems for vehicle-pedestrian safety (SafeWalk) and decentralized identity management. He has authored over 30 publications, with recent work covering blockchain resilience, intrusion detection in industrial processes (IM-DISCO), and generative AI for distributed algorithms. His contributions span academic conferences (DSN, EuroSys) and journals (IEEE Transactions).
Antonio Carzaniga is a Full Professor and founding member of the Faculty of Informatics at Università della Svizzera italiana (USI), where he has been active since 2004. Previously, he served as an Assistant Research Professor at the University of Colorado at Boulder from 2001 to 2007. He holds a Ph.D. in Computer Science and a Bachelor’s degree in Electronic Engineering from Politecnico di Milano. Full Professor, Faculty of Informatics, Università della Svizzera italiana (2004–Present) Assistant Research Professor, Department of Computer Science, University of Colorado at Boulder (2001–2007) Ph.D. in Computer Science, Politecnico di Milano Bachelor’s in Electronic Engineering, Politecnico di Milano His research spans distributed systems and software engineering, with a strong focus on content-based addressing networks, publish/subscribe systems, middleware, software fault tolerance, and verification. He has pioneered work in information-centric networking and developed the Siena project, a scalable publish/subscribe service. His recent work extends into programmable networks, GPU-accelerated matching, and performance annotations for cloud systems. The 15 most recent publications highlight a consistent trajectory in scalable, high-performance networking and adaptive software systems. Key themes include content-based communication, packet subscriptions, information-centric networking, and leveraging redundancy for fault tolerance and testing. His work bridges theoretical foundations with practical implementations, often involving system-level software and performance evaluation. Best Paper Award, ACM SIGCOMM Workshop on Information-Centric Networking (ICN'13) Carzaniga has advised multiple graduate students, including Michele Papalini, Koorosh Khazaei, and Daniele Rogora, and has collaborated on funded research projects in distributed systems and networking. He has contributed to software development through projects like the Siena Fast Forwarding engine and the Synthetic Workload Generator. His service includes organizing workshops and contributing to major conferences in software engineering and computer systems. He leads research initiatives such as Siena and Content-Based Networking, focusing on scalable, decentralized communication infrastructures. His lab has developed key tools for evaluating publish/subscribe performance and implementing high-speed forwarding algorithms.
Diјana Stoјić is a Lecturer at the Department of Computer and Software Engineering , Faculty of Technical Sciences Čačak , affiliated with the University of Kragujevac . She holds a Master's degree in Computer Engineering and is currently pursuing her PhD in Electrical and Computer Engineering at the same faculty. Her academic role involves teaching subjects such as Programming Languages, Human-Computer Interaction, and Visual Programming. Born: March 7, 1988, in Foča, Bosnia and Herzegovina Education: Primary (Vuk Karadžić School, Čačak), Technical School in Čačak (Computer Engineering), BSc and MSc from the Technical Faculty in Čačak Her research interests span Computer Engineering , Internet of Things (IoT) , Machine Learning , and Human-Computer Interaction . Recent publications highlight her work in artificial neural networks , augmented reality applications , and image classification for agricultural and medical purposes. She has contributed to projects like the TR32043 project on low-power systems and the DeSKoll project on German-Serbian language resources. Notable scientific awards include: Award for Best First-Year Student in Electrical Engineering (Technical Faculty in Čačak) Scholarship from the Ministry of Education, Science, and Technological Development (2013-2017) Her grant involvement includes participation in the TR32043 project (2011-2019) and the DeSKoll project (2024-2025). She has also collaborated on lab experiments and remote engineering education initiatives during the pandemic.
Dara Brodsky, MD, is an Assistant Professor in Pediatrics at Harvard Medical School and a neonatologist at Beth Israel Deaconess Medical Center (BIDMC), where she also serves as Associate Director of the Neonatal Intensive Care Unit. She is actively involved in the Harvard Neonatology Fellowship Program and holds leadership roles in medical education. Associate Director, NICU, Beth Israel Deaconess Medical Center Assistant Professor, Department of Pediatrics, Harvard Medical School Co-Director, Newborn Medicine Summer Student Research Program Chair, Neonatology Curriculum Committee, Harvard Neonatology Fellowship Member, Academy at Harvard Medical School Her research and academic work focus on medical education , neonatal care , and educational evaluation tools . She has contributed significantly to curriculum development, faculty assessment, and the creation of foundational educational resources such as the Neonatology Review series and Primary Care of the Premature Infant . Her interests extend to clinical ethics, genomics, and the integration of artificial intelligence in neonatal medicine. Dr. Brodsky's recent publications reflect a growing emphasis on AI in medical education , particularly the performance of large language models on neonatal board exams. Other key themes include fetal physiology , end-of-life care in the NICU , team collaboration , and innovative teaching methodologies . Her work bridges clinical practice with educational innovation. Scientific Awards: Senior Resident Teacher of the Year Award, Columbia-Presbyterian Medical Center 2010 Merton Bernfield Teaching Award in Neonatology Dr. Brodsky has advised numerous trainees through her educational programs and has led curriculum development initiatives supported by institutional and academic grants. She co-directs a summer research program for students in newborn medicine and has developed web-based educational tools for resident training. Her leadership in the Academy at Harvard Medical School underscores her commitment to educational excellence. She is actively involved in the editorial work for NeoReviews , an American Academy of Pediatrics-sponsored journal, and contributes to shaping the future of neonatology education through curriculum design and policy. Her work fosters interdisciplinary, family-centered care models in the NICU.
Katarzyna Marcisz is a Polish palaeoecologist affiliated with Adam Mickiewicz University in Poznań . Her research focuses on reconstructing environmental changes using peatland archives, with expertise in isotope geochemistry, testate amoebae analysis, and fire history modeling. Lead author on Neodymium isotope studies in peatlands Developed continental-scale testate amoebae transfer functions Recipient of multiple National Science Centre (Poland) grants Research Highlights: Her work spans three key areas: Peatland Dynamics: Investigated hydrological stability over the Holocene using high-resolution 14 C and 210 Pb dating Fire Ecology: Quantified fire activity interactions with vegetation across European lowlands and alpine regions Isotope Tracing: Advanced Nd isotopes as local environmental disturbance indicators in peat records Recent publications emphasize: Carbon sequestration potential in kettle-hole peatlands Human-climate interactions in fire regimes Testate amoebae as bioindicators for ecosystem changes Key methodological contributions include improving dating resolution in ombrotrophic peat profiles and developing eDNA metabarcoding applications for palaeoecological studies.
Dr. Joanna Hegele-Drywa is an Adjunct Professor at the University of Gdańsk , affiliated with the Faculty of Oceanography and Geography and the Department of Marine Ecology . Her research focuses on the physiology, bioenergetics, and ecological impacts of marine organisms, particularly invasive species in the Baltic Sea. Her work includes studying the osmoregulation and metabolic responses of the Harris mud crab ( Rhithropanopeus harrisii ) to environmental stressors like temperature and salinity changes. She has extensively investigated biofouling as a vector for invasive species transfer via commercial ships, emphasizing the ecological risks in high-traffic marine areas. Recent publications highlight her contributions to understanding invasive crab dynamics, species distribution in the Gulf of Gdańsk, and biofouling mitigation strategies. She has participated in international collaborations such as the ICES/IOC/IMO working groups on marine biosecurity. Her research integrates field studies, laboratory experiments, and ecological modeling to address marine biodiversity conservation and ecosystem management challenges.
Fernando Castedo Dorado is a University Associate Professor in the Department of Engineering and Agricultural Sciences at the School of Agricultural and Forestry Engineering, University of León. He holds a PhD in Forestry Engineering from Universidade de Santiago de Compostela (2004). Academic Background : Technical Forestry Engineer (1996) Forestry Engineer (1999) Doctorate in Forestry Engineering (2004) Research Focus : His work centers on biotic/abiotic risk modeling in forest ecosystems, including: Forest fuel dynamics (canopy/ground) and fire severity Growth loss from invasive pests (e.g., Asian chestnut gall wasp) Climate-productivity relationships in eucalyptus and pine stands IoT-based forest health monitoring Article Trends : Recent publications emphasize invasive pest interactions, climate change impacts on forest productivity, fuel load modeling using LiDAR/Sentinel-2, and citizen science applications for damage reporting. Professional Roles : Currently coordinates the interuniversity MasterFUEGO program in forest fires. Previously held teaching roles at the University of León (2002-2008). International Experience : Conducted postdoctoral research at: USDA Forest Service (2004) Georg-August-Universität Göttingen (2005) Universidade de Trás-Os-Montes (2011) Universidad de La Plata (2023) Research Groups : Active member of DRACONES (modeling complex forest environments) and collaborator with UXAFORES at Universidade de Santiago de Compostela.
Christoph Weidenbach is an Adjunct Professor in the Computer Science department at Saarland University, Germany, and the head of the research group Automation of Logic at the Max-Planck-Institute for Informatics. His work focuses on automated deduction, decision procedures, and theorem proving, particularly in the context of first-order logic and decidable fragments. He has been actively involved in the development of automated verification tools and techniques, including SAT solvers and SMT frameworks. Education: Diplom (1989), PhD (1996), Habilitation (2000), all in Computer Science at Saarland University. Current Roles: Research Leader (Automation of Logic group, MPI) since 2005; Adjunct Professor (Saarland University) since 2007. Past Roles: Research Coordinator (MPI, 1999-2005); IT Manager (GM Powertrain Europe, 1991-1999). His recent publications highlight trends in automated deduction, formal verification, and constraint solving, with applications in linear arithmetic, network protocols, and semantic web reasoning. He has also contributed to the theoretical foundations of superposition calculi and SCL(FOL) extensions.
