Salvatore Livatino is an Associate Professor in Virtual Reality and Robotics at the University of Hertfordshire, UK. He holds a MSc in Computer Science from the University of Pisa (1993) and a PhD in Computer Science and Engineering from Aalborg University, Denmark (2003). His academic journey includes roles as Research Fellow and Associate Professor at Aalborg University, as well as visiting positions at institutions like INRIA Grenoble and the University of Edinburgh. He leads the Communications and Intelligent Systems research group and directs the Virtual Reality and Robotics Laboratory. His research focuses on immersive technologies (VR/AR/XR), stereoscopic 3D visualization, and teleoperation systems for applications in robotics, healthcare, and command-and-control interfaces. He has contributed to over 30 peer-reviewed publications and secured funding for projects such as the Innovate UK-backed 'iDOC: AI Empowered Document Authoring' (2023–2025) and 'Immersion for Care: Using Extended Reality in Healthcare Training' (2025–2027). Teaching expertise includes problem-based learning, 3D visualization, and immersive game design. His work spans interdisciplinary collaborations in robotics, AI, and healthcare, emphasizing practical applications of virtual environments.
Daniel Hamlin, Ph.D., is an Associate Professor in the Department of Educational Leadership and Policy Studies at the University of Oklahoma’s Jeannine Rainbolt College of Education. His research focuses on education policies related to student safety, school climate, parental involvement, and school choice. He holds a Ph.D. from the Ontario Institute for Studies in Education at the University of Toronto, where he received the Ken Leithwood Outstanding Thesis Award. Hamlin’s work has been published in prestigious journals such as the American Educational Research Journal and Sociology of Education. He leads a $3 million randomized controlled trial on high-dosage tutoring in high school math and has secured grants from the National Science Foundation and the Ontario Ministry of Education. He currently serves as Principal Investigator on major educational research initiatives. His policy engagement includes moderating discussions with national education leaders and serving on editorial boards for Leadership and Policy in Schools and the International Journal of Education Leadership and Policy. Hamlin reviews federal grants for the U.S. Department of Justice and has contributed expertise to media outlets like the Wall Street Journal and Forbes. Award-winning educator, Hamlin received the OU College of Education’s Research and Scholarship Award (2022) and Pre-tenure Faculty Award (2021). Earlier honors include Harvard University’s Derek Bok Award for Excellence in Teaching during his postdoctoral fellowship.
Debra Moss Vollweiler is a tenured Professor of Law at Nova Southeastern University's Shepard Broad College of Law in Fort Lauderdale, FL. A graduate of Boston College Law School (J.D., cum laude) and Tufts University, she has been a full-time faculty member since 2001 and was promoted to Full Professor in 2008. Her administrative roles include Associate Dean for Academic Affairs (2017–present) and founding director of the Public Interest Law Center. Teaching Areas: Contracts, UCC: Secured Transactions, UCC: Sales, Corporations, Law Office Management Workshop, 4th Amendment Law, Lawyering Skills and Values Her scholarship focuses on curriculum reform, attorney ethics, professionalism, and pedagogy. She co-authored the book Legal Education at a Crossroads and has published over 30 works examining intersections between legal education and professional identity. Recent articles analyze consumer-oriented education models during the pandemic and data-based curriculum development. Recent Publications: If you Can’t Beat ‘Em, Join ‘Em (Virtually) (Pace Law Review, 2021) Law School As a Consumer Product (Pace Law Review, 2020) She is actively involved in national legal education organizations, serving on AALS executive committees and as an ABA accreditation site inspector. Awards include: NSU Distinguished Professor of the Year (2017) Florida Bar Law Faculty Professionalism Award (2017) NSU College of Law Executive of the Year (2019, 2021) NITEP Fellow (2016) Vollweiler previously chaired Florida Bar committees on judicial independence, attorney discipline, and the future of legal education, and was a key leader in the 'Vision 2016' initiative.
Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.
Athinagoras Skiadopoulos is a computer systems researcher at Stanford University's School of Engineering, Department of Computer Science, focusing on the intersection of database systems and operating systems. His work centers around the innovative DBOS (Database-oriented Operating System) project and large-scale machine learning infrastructure, collaborating with prominent researchers including Christos Kozyrakis and Michael Stonebraker. His primary research interests include: Database-oriented Operating Systems (DBOS) Distributed systems for large-scale machine learning Resource management and optimization in data-intensive systems Transaction processing and data governance High-performance networking for accelerated computing Fault tolerance in distributed training systems Skiadopoulos's research trajectory shows a clear evolution from foundational DBOS architecture toward applications in large-scale machine learning systems. His early publications established the DBOS framework for operating system design using database principles, while his recent work addresses critical challenges in distributed training of massive neural networks. Systems like ReCycle and SlipStream demonstrate innovative approaches to pipeline adaptation and failure recovery during distributed training. His most recent 2025 work on accelerating Mixture-of-Experts training represents the cutting edge of efficient large model training infrastructure. Through his research, Skiadopoulos has established himself in both the database and systems research communities, with publications in premier venues including SOSP, OSDI, VLDB, and CIDR. His work consistently bridges theoretical database concepts with practical systems implementations, demonstrating how database techniques can solve real-world systems challenges in modern computing environments.
Hongxin Hu is a Professor and Associate Chair in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York (SUNY). His research spans security, networking, and machine learning, with publications across top conferences including security (S&P, CCS, USENIX Security, and NDSS), networking (SIGCOMM and NSDI), machine learning (NeurIPS, ICML, and EMNLP), and human-computer interaction (CHI and CSCW). His work has been funded by NSF (SaTC, CNS, IIS, OAC, SOC), USDOT, VMware, Amazon, Google, and Dell. Dr. Hu earned his PhD in Computer Science and Engineering from Arizona State University in 2012. His academic journey has led him to become a prominent researcher in cybersecurity with a strong publication record and significant research impact. Dr. Hu's research interests encompass a wide range of topics at the intersection of security, networking, and artificial intelligence. His work focuses on Emerging Network Technologies and Security (5G/Future-G, NFV, SDN, Edge computing), Machine Learning for Security and Privacy , Security and Privacy in IoT and Cyber-Physical Systems , and AI for Social Good (addressing online abuse, unsafe children's games, and cyberbullying). His interdisciplinary approach has enabled him to tackle complex security challenges through innovative solutions that combine networking expertise with machine learning techniques. His recent publications demonstrate a strong trend toward applying large language models and advanced machine learning techniques to security challenges, particularly in content moderation, vulnerability detection, and privacy protection. The research spans multiple domains including voice assistant security, IoT security, network security, and social media safety, showing a consistent pattern of addressing real-world security problems with cutting-edge technical approaches. IEEE Big Data Security Senior Research Award (2025) ACM SACMAT Test-of-Time Award (2024) NSF CAREER Award (2019) Multiple Best Paper Awards from ACM ASIACCS (2022), ACSAC (2020), IEEE ICC (2020), and ACM SIGCSE (2018) Amazon Faculty Research Award (2022) First Place Award in ACM SIGCOMM 2018 Student Research Competition Dr. Hu has successfully advised multiple PhD students, including Nishant Vishwamitra who joined UT San Antonio as a tenure-track Assistant Professor. His research has been generously funded by major agencies and industry partners. As an active member of the academic community, he serves as Associate Editor for IEEE Transactions on Dependable and Secure Computing and Computers & Security, and has held numerous leadership roles in major security conferences including TPC Co-Chair for ASONAM 2025 and IWSPA 2024/2025. Dr. Hu leads a vibrant research group that has produced significant contributions in network security function virtualization, intrusion detection systems, and privacy-preserving technologies. Current projects include developing LLM-assisted vulnerability detection systems, defenses against jailbreak attacks on large language models, and security mechanisms for emerging networking technologies. His team's work on IoT security, voice assistant applications, and online content moderation has received wide recognition and press coverage.
Patti J. Fisher is a Professor in the Department of Apparel, Housing, and Resource Management at Virginia Tech's School of Design. She is based in Wallace Hall, Blacksburg, VA, and her academic work centers on consumer studies, particularly financial behaviors of women and minority groups, household saving, and personal finance education. Research Interests: Women's financial behaviors Household saving behavior Gender and racial/ethnic differences in economic well-being Financial risk tolerance Financial literacy and education Her recent publications (2024–2009) reflect a strong thematic focus on behavioral economics and financial decision-making across demographic groups. Key trends include gender disparities in financial literacy and risk tolerance, ethnic differences in credit and saving behaviors, and the role of health and future orientation in financial planning. Her work frequently employs data from national surveys and is published in leading journals such as the Journal of Economic Psychology and Financial Services Review . Editorial Roles: Associate Editor, Journal of Financial Innovation Financial Well-being Editor, Journal of Financial Innovation Editorial Board Member, Journal of Financial Counseling and Planning Editorial Board Member, Financial Services Review Fisher is actively involved in research and teaching, currently on research leave during the 2023–2024 academic year. She teaches courses in Consumer Rights and Resource Management, delivered virtually. While no formal advising or grant information is listed, her editorial leadership and consistent publication record suggest active mentorship and scholarly influence. She also founded Editor World, a writing and editing service, reflecting her commitment to academic communication.
Dr Andrew Starkey is a Reader in the School of Engineering at the University of Aberdeen, where he also completed his PhD in 2001. He holds an Honours degree in Applied Mathematics from the University of St Andrews. He is actively involved in research and currently accepting PhD students in Engineering. His work bridges academia and industry, with a focus on AI applications in engineering, bioinformatics, and geosciences. University: University of Aberdeen School: School of Engineering Academic Rank: Reader Email: a.starkey@abdn.ac.uk Phone: +44 (0)1224 272801 Dr Starkey's research centers on Explainable AI (XAI) , Green AI , and Autonomous AI , with applications in robotics, econometrics, bioinformatics, seismic data analysis, and virtual reality. He has developed novel methods for feature selection, autonomous learning, and knowledge abstraction from agent-environment interactions. His work emphasizes low computational cost and transparency in AI systems. The most recent publications reflect a strong trend in applying AI to complex real-world problems, including digital rock technology, robotic grasping, real-time event detection, and medical data analysis. His interdisciplinary research combines machine learning with domain-specific knowledge in engineering and life sciences, often resulting in practical, industry-ready solutions. Millennium Product Award John Logie Baird Award for Innovation Enterprise Fellowship from Royal Society of Edinburgh and Scottish Enterprise Dr Starkey has supervised multiple research projects and secured funding from major bodies including EPSRC, BBSRC, and industry partners. His past work on the GRANIT project led to the development of AI-based condition monitoring for ground anchorages, resulting in commercialization through BlueFlow Ltd. He has collaborated with researchers across disciplines, including Dr Alasdair MacKenzie (bioinformatics), Dr Anne Schwab (seismic analysis), and Dr David Hazlerigg (genomics). He leads research in AI-driven engineering solutions and is the CEO of BlueFlow Ltd, a spinout company commercializing AI technologies developed at the University of Aberdeen. His lab focuses on developing autonomous, explainable, and environmentally sustainable AI systems for real-world deployment.
Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)
Andre Viljoen is Professor of Architecture at the University of Brighton, leading research in sustainable urban design and urban agriculture. He co-founded the Continuous Productive Urban Landscapes (CPULs) concept, emphasizing food production integration in cities. His work bridges architecture, planning, and ecology through collaborative projects worldwide. Current affiliations: School of Architecture, Technology & Engineering; DCCR Research Excellence Group External roles: Member of AESOP Sustainable Food Planning SIG, European Driving Urban Transitions (DUT) panel Research focuses on circular cities, food systems, and urban regeneration, with impactful publications like Second Nature Urban Agriculture (RIBA Award 2015). He actively supervises PhD research on topics like urban care farming and community food gardens. Recent initiatives include advising Tokyo's Nerima City on urban agriculture strategies for the 2020 Olympics and contributing to the EU-funded EdiCitNet project. His pedagogical innovations emphasize hands-on design methodologies.
Dr. Crystal Fausett is an Assistant Professor in the School of Information at San José State University. Her academic work bridges human factors, cybersecurity, and human-computer interaction, with a strong focus on how individuals and teams interact with technology in high-stakes environments such as healthcare, emergency services, and cyber operations. She teaches courses including ISDA 121 – Human Centered Cybersecurity and ISDA 130 – User Centered Interface Architecture and Prototyping, reflecting her interdisciplinary expertise. Ph.D. in Human Factors, Embry-Riddle Aeronautical University (2024) M.S. in Human Factors, Embry-Riddle Aeronautical University (2022) B.A. in Psychology, San José State University (2020) A.A. in Social and Behavioral Sciences, Santa Barbara City College (2018) Her research interests include human-centered cybersecurity, human-computer interaction, usability and UX design, teamwork and transactive memory systems, training methodologies (particularly simulation-based), and information behavior across diverse user groups such as healthcare providers, cyber defenders, and naval personnel. She applies both qualitative and quantitative methods, including expert interviews, board game simulations, and meta-analytic techniques. The recent publications highlight a strong trend in applying human factors principles to cybersecurity team performance, adaptive training, and healthcare safety. Her work increasingly explores innovative methods such as gamified simulations to study team dynamics and cognitive load in complex operational environments. There is a consistent emphasis on improving system efficiency, safety, and collaboration through human-centered design. Dr. Fausett has no listed scientific awards in the provided text. She has served as an Instructor of Record in Human Factors and Behavioral Neurobiology at Embry-Riddle Aeronautical University (2023–2024) prior to her current role. There is no mention of current grant funding or student advising in the provided materials. Her research often involves collaboration with experts in human factors and healthcare, particularly Dr. Joseph R. Keebler and Dr. E. Salas, suggesting active participation in research teams focused on team performance and safety-critical systems. She is involved in research labs or teams centered on human factors in cybersecurity and healthcare, particularly through collaborative projects involving simulation-based training and team cognition studies. Her use of board games like [d0x3d!] as experimental testbeds indicates innovative lab-based methodologies for studying real-world team interactions in controlled environments.
Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.
Elaine Mosconi is a Full Professor at the Université de Sherbrooke since 2024, with prior roles as Associate Professor (2017-2024) and Visiting Professor at institutions like Université Lumière Lyon 2 and École Nationale Supérieure des Mines de Saint-Étienne. She holds a PhD in Administration from Université Laval (2014), an MSc in Industrial Engineering from Universidade de Sao Paulo (2003), and a BSc in Library & Information Science (1999). Université de Sherbrooke | Full Professor (2024-), Associate Professor (2017-2024) Université Laval | Visiting Scholar (2019-2023) International collaborations in France, Brazil, USA, Sweden Her research focuses on Digital Transformation , Industry 4.0 , and Collaborative Innovation , with emphasis on organizational value creation through technology adoption and information literacy. She has secured over $1,649,623 in grants from NSERC, CRSH, MITACS, and provincial agencies, including a $5M grant for SME digital transformation programs. Recent articles explore plastic waste circular economy , enterprise social media maturity , and Industry 5.0 workforce adaptation . Her work bridges business intelligence with sustainable supply chain practices. Scientific Awards : Dean's Research Award (2024) ASAC Best Paper in Technology & Innovation Management (2022) Multiple Academic Coach/Mentor of the Year (2019-2021) Nominated for Inspiration Award (Quality of Service) (2017-2018) As a conference organizer and track chair for IAMOT, HICSS, and AMCIS, she leads initiatives in digital transformation frameworks. Her pedagogical projects include developing a data literacy assessment tool for business leaders and co-creating a knowledge management framework for decision performance.
Daniel Nylen is an Associate Professor at the Department of Informatics, Umeå University. He holds the qualification of Docent and is recognized as a university teacher. Based at the MIT building in Umeå, he maintains an active research profile with publications spanning from 2008 to 2024. His research focuses on digital transformation processes across diverse sectors, examining how organizations implement and adapt to digital technologies. His work investigates: Digital innovation strategies and frameworks AI implementation in public sector contexts Organizational implications of digitalization Technology adoption in traditional industries Value creation through digital platforms Analysis of his recent publications reveals a clear evolution from early work on digital magazines and forestry industry transformation toward current research on AI implementation, algorithmic decision-making, and digital infrastructure needs in public administration. His research consistently employs detailed case studies to develop nuanced understandings of digital transformation dynamics. Dr. Nylen is actively involved in multiple research projects including 'AI-based automation in forestry' (2024-2026), 'UmArts Art & AI research project' (2023-2027), 'Digital twins for forest planning' (2023-2024), and 'HYDE – Human agency in semi-automated decision-making systems' (2021-2024). He is a member of both the 'AI and society' research group and the 'Swedish Center for Digital Innovation,' collaborating with researchers across disciplines to address complex digital transformation challenges in contemporary organizations.
Jana Gonnermann-Müller is a research assistant at the Chair of Business Information Systems, Processes and Systems at the University of Potsdam . Holding an M.Sc. in Psychology from Humboldt University of Berlin, her work focuses on human-machine interaction, particularly examining learning, decision-making, and trust in technological collaborations. Degree: Master of Science (M.Sc.) in Psychology Alumni: Humboldt University of Berlin Current Role: Scientific Associate at University of Potsdam Research explores cognitive factors in augmented reality and AI assistance systems , employing experimental designs and eye tracking methodologies. Key projects include investigating visual guidance in AR, comparing AR display types, and developing frameworks for generative AI in education. Publications (2023-2025) demonstrate expertise in digital education , cognitive load optimization , and technology-enhanced learning . Collaborations span institutions like Hong Kong Polytechnic University , University of California, Davis , and Weizenbaum Institute , with corporate consulting on learning technology implementation. Technical focus areas include: Human-System Design Optimization Eye Tracking & Usability Studies AI Recommender Systems Industry 4.0 Implementation Research applications extend to: Secondary Education Technology Assembly Line AR Integration Change Management Systems Maintenance AR Visualization
