Marios C. Angelides is a prominent academic specializing in multimedia systems, artificial intelligence, and collaborative technologies. His work focuses on integrating machine learning, IoT, and game theory into applications such as autonomous systems, disaster response, and personalized gaming. He has authored over 90 publications, including influential papers on MPEG standards and AI-driven UAV coordination. His research bridges theoretical frameworks with practical implementations in telecommunications, emergency communications, and educational technologies. Angelides collaborates extensively with researchers like Faris A. Almalki and Harry W. Agius, advancing interdisciplinary solutions in intelligent tutoring systems and adaptive multimedia.
Martin Jaggi is an Associate Professor at EPFL, leading the Machine Learning and Optimization Laboratory (MLO). He holds academic positions within the School of Computer and Communication Sciences (IC), including roles in the SIN, SSC, and EDIC departments. His research focuses on machine learning optimization, federated learning, and large language models. He earned his PhD in Machine Learning and Optimization from ETH Zurich (2011) and a MSc in Mathematics from the same institution. Education: PhD in Machine Learning and Optimization, ETH Zurich (2011) MSc in Mathematics, ETH Zurich Research Interests: Dr. Jaggi's work integrates optimization theory with machine learning applications, emphasizing scalable algorithms and ethical AI. He explores topics like distributed learning systems, privacy-preserving techniques (e.g., federated learning), and model interpretability. His lab develops foundational methods for large language models (LLMs) and their ethical deployment. Teaching & Courses: Optimization for Machine Learning Topics in Machine Learning Systems Advising & Grants: He currently advises 9 PhD students and has supervised 11 past students. His work is supported by grants focusing on federated learning, optimization algorithms, and medical AI applications like Meditron-70b. Collaborations include projects on respiratory disease detection and mental health modeling. Labs & Teams: Academic Director of RCP-GE and oversees MLO lab, which develops open-source tools like FLamby for federated learning benchmarks and Meditron for clinical AI. The lab also advances techniques in distributed optimization and low-precision training.
Dr. Pascal Edme is a Senior Scientist at the Swiss Seismological Service (SED), part of ETH Zürich. His research focuses on advanced seismic monitoring technologies, particularly Distributed Acoustic Sensing (DAS), applied to glaciology, slope instability, and avalanche dynamics. He leads projects leveraging telecommunication infrastructure for environmental hazard detection and collaborates internationally on geophysical challenges like Martian soil analysis via the InSight mission. His work emphasizes automation, machine learning integration, and high-resolution subsurface imaging. Affiliations: Swiss Seismological Service (SED), ETH Zürich Key Technologies: DAS, Unsupervised Clustering, Semi-Supervised Learning, 3D Seismic Tomography Research interests span cryoseismology, near-surface geophysical characterization, and the development of robust geophysical instruments. Notable contributions include avalanche detection frameworks, slope failure monitoring systems, and high-fidelity seismic source inversion techniques. His studies often bridge field deployments with computational advancements, addressing both Earth and planetary science challenges. Publications highlight innovative applications of DAS across diverse contexts—from monitoring Alpine glaciers to analyzing Mars' subsurface. Collaborations with institutions like BedrettoLab and the Geo-INQUIRE project underscore his commitment to standardizing geophysical data practices and fostering interdisciplinary research.
Nicolas SANNIER is a Postdoctoral Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Software Verification and Validation (SVV) research group led by Prof. Lionel Briand. He holds a PhD in Computer Science from the University of Rennes (France, 2013). His research focuses on regulatory compliance, legal requirements engineering, and the application of model-driven engineering, natural language processing, and machine learning to analyze legal and regulatory texts. Key areas include GDPR compliance for software systems, automated regulatory change analysis, and formalization of legal policies. Previously, he worked at EDF, Inria, and other institutions. His work bridges academic research with practical applications in industries such as finance and nuclear energy. He develops frameworks for extracting semantic legal metadata, simulating legal policies, and automating compliance checks using runtime verification techniques. His expertise includes natural language processing for legal texts, automated cross-reference resolution, and technology transfer projects. His research has produced tools like MatrixMiner and frameworks for regulatory requirements modeling (e.g., INCREMENT). He emphasizes long-term sustainability of safety requirements repositories and addresses challenges in variability and traceability in complex systems. Current trends in his publications focus on AI-driven compliance solutions, GDPR privacy concerns in mobile apps, and automated analysis of financial regulations.
Stelios Piperidis is a prominent researcher at the Athena Research and Innovation Center, specializing in language technologies and digital language equality initiatives across European frameworks. His work spans machine translation, language resource development, and multilingual infrastructure projects including the European Language Grid (ELG), European Language Equality (ELE) program, and META-SHARE infrastructure. His research interests focus on overcoming language barriers through advanced computational methods, with particular emphasis on scientific domain machine translation , parliamentary corpus analysis , and digital language equality metrics . He has pioneered methodologies for constructing specialized parallel corpora from scientific abstracts, news metadata, and parliamentary debates, addressing challenges in domain adaptation and multilingual resource scarcity. His publication trends reveal consistent contributions to language resource standardization, metadata schemas, and European language technology policy frameworks. Recent work centers on the European Language Data Space initiative and sustainability models for digital language equality. Piperidis has played key roles in numerous European Commission-funded projects, contributing to strategic agendas for language resource coordination and technological infrastructure development. His collaborative work spans over 50 institutions across Europe, focusing on practical implementations of language technology solutions for public sector applications and academic research. He actively participates in major language resource conferences including LREC and EAMT, contributing to community-building efforts through workshop organization and editorial work. His leadership in European language technology initiatives has helped shape strategic roadmaps for achieving full digital language equality by 2030.
Professor Hui Zhao holds the rank of Professor of Supply Chain Management and serves as Co-Director for Research at the Center for Supply Chain Research within the Smeal College of Business, Pennsylvania State University. She specializes in applying analytics to healthcare systems, focusing on pharmaceutical supply chains, public policy, and innovative healthcare technologies like telehealth. Her research addresses incentive misalignment in healthcare value chains, with notable contributions to drug shortages, pricing, and technology-driven solutions. Education: PhD in Industrial Engineering, Purdue University (2003) MS in Industrial Engineering, Purdue University (2002) CERT in Applied Management Principles (Mini-MBA), Purdue University (2001) MS and BE in Mechanical & Manufacturing Engineering, Tianjin University (1997, 1994) BS in Industrial Economics and Systems Engineering, Tianjin University (1994) Research Interests: Professor Zhao’s work spans healthcare analytics, pharmaceutical supply chain optimization, health policy, and telehealth innovation. She employs machine learning and data science to address systemic challenges like drug pricing and illicit online pharmacies. Her research bridges academia and practice, informing government agencies (e.g., FDA, HHS) and industry consortia such as Xavier Health’s AI initiative in healthcare. Publications & Awards: Her work has been published in top-tier journals and recognized with awards including a Pierskalla Award finalist nod (2015), Ralph Gomory Industry Studies Award runner-up (2018), and SCOR Innovation Award (2018). Her research emphasizes practical impact, with presentations to HHS and FDA expert panels. Advising & Collaborations: Advises students on healthcare systems and policy. Collaborates with industry and government to translate research into actionable policy recommendations. Actively involved with Xavier Health’s AI in Healthcare Initiative.
Darren L Linvill is a Professor at Clemson University’s College of Arts and Humanities. He serves as Co-Director of the Watt Family Innovation Center and leads the Media Forensics Hub, focusing on social media disinformation analysis and mitigation. His academic work bridges communication theory with practical digital security challenges. Research Interests : Darren’s scholarship examines social media disinformation , particularly state-sponsored influence operations and troll behavior. He analyzes how coordinated networks manipulate civil discourse, explores AI’s role in propaganda generation, and investigates the psychological impacts of inauthentic content. His interdisciplinary approach combines political communication, cybersecurity, and media studies. Academic Background : Ph.D., Clemson University (2008) M.A., Wake Forest University (2002) B.A., Wake Forest University (1999) Recent Work Trends : His publications reveal a focus on AI-enhanced disinformation strategies, cross-border troll activities, and digital influence in geopolitical conflicts. Key themes include troll identity manipulation, algorithmic propaganda amplification, and the intersection of technology with political discourse. Public Engagement : Beyond academia, Darren contributes to mainstream media outlets like The Washington Post , Foreign Affairs , and Lawfare , translating technical findings into accessible policy discussions.
Wan-Chen Lee is an Assistant Professor at the University of Wisconsin-Milwaukee's School of Information Studies. She holds a PhD and multiple master's degrees from the University of Washington Information School. Her research focuses on knowledge organization in cultural contexts, metadata design for multimedia resources, and ethical AI in librarianship. Dr. Lee investigates inclusive data practices, including metadata for video games, anime, and fiction, emphasizing cultural stewardship and global-local tensions. Education: PhD in Information Studies, University of Washington Master of Science in Information Science, University of Washington Master of Library and Information Science, University of Washington Bachelor of Arts in Library and Information Science, National Taiwan University Research Interests: Her work addresses challenges in cataloging, classification theory, and metadata standards across cultures. Recent projects include AI ethics in libraries, mood metadata for fiction using emojis, and genre analysis of anime. Dr. Lee’s research has been funded by the American Library Association and the Northwestern Mutual Data Science Institute. Grants & Awards: ALA Carnegie-Whitney Grant (2024-2025) for Ethical AI and Librarianship: A Resource Guide NMDSI Student Research Scholars Program (2024-2024) on Ethical AI UWM Research Assistance Fund (2022-2023) for Emoji and Emotion Categories in Fiction Teaching: Courses include Organization of Information, Data Curation, and Doctoral Seminars in Knowledge Organization.
Dr. Stephanie Khoury is an Assistant Professor in the Department of Music at Tufts University's School of Arts and Sciences. With extensive fieldwork experience in Southeast Asia and diasporic communities in France/USA, her research examines performing arts through social structures, collective memory, and intangible heritage frameworks. PhD in Anthropology (Université de Paris Ouest Nanterre, 2014) Co-editor for Brill Publishing's Global Arts of Performance book series Her research focuses on: Music's role in mass atrocities and social justice Soundscapes and musical place construction Digital humanities applications for sound archives Cambodian performance traditions and diaspora expressions Music as political dissent Intangible heritage intersectionality Recent publications analyze: Digitized oral history preservation (2020) Cambodian theatre's role in memory (2017) Sound archives' impact on ethnomusicology (2014) Scientific awards include: Florence Gould Foundation Fellowship (2006) Quai Branly Museum Fellowship (2007) Sorbonne Postdoctoral Fellowship (2015) Autoritas Program Fellowship (2017) Mentoring students through: Tufts' Laidlaw Scholars program Summer Scholars and GREAT initiatives Tufts University Prison Initiative (TUPIT, since 2024)
Jill Griffiths is Head of the School of Digital Arts (SODA) and Reader in Pedagogical Innovation at Manchester Metropolitan University (MMU). In her leadership role, she provides strategic direction and operational management for the School. Previously, she held roles as Section Leader and Principal Lecturer at MMU’s iSchool, Research Fellow at CERLIM (Centre for Research in Libraries and Information Management), and Research & Project Manager at MDR Partners. Currently, she serves as External Examiner for Degree Apprenticeships at Kingston University, London. Her academic expertise focuses on pedagogical innovation, curriculum design, and digital education models. A pioneer in degree apprenticeships, she co-developed MMU’s first such program in 2015—the BSc (Hons) Digital and Technology Solutions—and led the BSc (Hons) Digital User Experience apprenticeship. Her research explores user experience (UX), digital interaction in cultural collections, and academic/commercial sector behaviors. She has led over 20 nationally/internationally funded projects, including the EU FP7-funded PATHS project for personalized digital cultural heritage access. Griffiths has published extensively in journals like the International Journal of Cultural Policy , Journal of Librarianship and Information Science , and Library Trends . Her work spans book chapters in digital library development, information literacy, and e-learning. She has presented at conferences including the International Conference on Applied Human Factors and Ergonomics and Museums and the Web. Recent initiatives include UX consultancy for a global commercial organization and guidance on MMU’s BA (Hons) Creative Digital Design apprenticeship. Her research emphasizes cultural sustainability, digital pedagogy, and innovative educational delivery models.
Jody Klymak is a Professor in the School of Earth and Ocean Sciences and Department of Physics and Astronomy at the University of Victoria. His research focuses on physical oceanography, particularly small-scale ocean flows and their impacts on larger circulation patterns, including waves, turbulence, fronts and eddies. Research interests center on ocean mixing processes driven by topography and mesoscale stirring, coastal transport dynamics, and energy dissipation mechanisms. Current projects include C-PROOF, SWOT Balance/Imbalance studies, and International Year of Salmon physical oceanography research. Education: PhD in Physical Oceanography, University of Washington MSc in Physical Oceanography, University of Washington BSc in Mathematics and Physics, University of Victoria Research employs seagoing data collection, numerical experiments, and innovative instrumentation to understand energy dissipation pathways and mixing processes. Active projects investigate submesoscale streamers, internal wave generation, and turbulent mixing across diverse oceanic environments from Arctic channels to subtropical fronts. Scientific Awards: Award for Research Excellence, University of Victoria (2010) Editors' Citation for Excellence in Refereeing, Journal of Geophysical Research (2010) The Ocean Physics Group collaborates with the Institute of Ocean Sciences on instrumentation development and maintains extensive field observation programs using gliders, current meters, and other autonomous platforms to study coastal and open-ocean processes.
Christopher Jeschelnik is a Lecturer at the School of Communication, Simon Fraser University, where he teaches courses in digital media communication and empirical research methods. His educational background includes: PhD student in Educational Technology & Learning Design at Simon Fraser University (2012) M.A. in School of Communication at Simon Fraser University (2010) B.A. in School of Communication at Simon Fraser University (2003) Jeschelnik's research focuses on multimodal composition and analysis, mediated dialogue, metadata and communication design, and situated pedagogical design. His work bridges theoretical frameworks with practical applications in educational technology and communication studies. He examines how different modes of communication interact and how dialogue is shaped through various media platforms. Currently teaching CMNS 226 Digital Media Communication Techniques in Summer 2025 and CMNS 201W Empirical Communication Research Methods in Fall 2025, Jeschelnik brings his research expertise into the classroom to help students develop skills in digital media production and research methodology.
Hao Zheng is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida , specializing in computer architecture and AI/ML systems . He received his Ph.D. from The George Washington University in 2021, advised by Prof. Ahmed Louri. Research Focus: Domain-specific accelerators, wafer-scale integration, hardware-software co-design, and AI-assisted chip design. Teaching: EEL6938 (Computer Architecture for AI/ML) since Fall 2025. His recent work explores graph neural networks , vision transformer acceleration , and secure on-chip communication , with publications at top venues like ISCA, MICRO, and DAC. He serves as an Associate Editor for IEEE Transactions on Computers and IEEE Transactions on Sustainable Computing. Notable honors include the NSF CAREER Award (2025) , GWU ECE Best Dissertation (2022) , and multiple AMD Fellowships for his students. His iCAT Lab focuses on cutting-edge research in computer architecture, supported by grants from L3Harris and NVIDIA .
Sarah Barriage is an Associate Professor in the School of Information Science at the University of Kentucky's College of Communication and Information (CI). She holds a Ph.D. from Rutgers State University (2018) and specializes in youth information behavior, library science, and LGBTQ+ studies. Her work bridges child psychology and information practices, with notable contributions to understanding drag queen storytimes in public libraries and youth substance use prevention. Research interests include how children and youth engage with information in educational and social contexts, ethical implications of technology use, and inclusive library programming. She has been awarded the ALISE/ProQuest Methodology Paper Competition (2017) and has received grants from the Office of the Vice President for Research (2020-2021) and the American Library Association (2019-2021). Her recent articles explore topics such as bibliographic invisibility in LGBTQ+ materials, privacy concerns in educational technologies, and decision-making processes for controversial library programs. She collaborates with institutions like the Lucille Little Library and emphasizes interdisciplinary approaches to information science.
Beth Bloch is an Assistant Professor in the School of Information Science at the University of Kentucky. Her work bridges information science, biomedical ethics, and technology design, focusing on issues like healthcare privacy, LGBTQ+ representation in children's literature, and biomedical innovation ethics. Education: PhD in Library and Information Science, University of Illinois - Urbana (2020) MS in Library Science, University of Denver (2007) MA, San Diego State University (2005) Research Interests: Bloch explores intersections of technology and societal impact, including metadata analysis for bibliographic representation, cybersecurity in medical devices, and ethical implications of emerging biotechnologies. Her work emphasizes user-centered design principles and equitable access to information. Advising & Grants: No formal advising/grant details provided in text. Focus appears to be on collaborative research projects in information science and healthcare technology. Labs/Teams: Affiliated with the School of Information Science's research initiatives on biomedical informatics and health equity.
