Jody Foo is a Lecturer at the Department of Computer and Information Science, Linköping University. They are affiliated with the Natural Language Processing Lab (NLPLAB) and the Human-Centered Systems (HCS) research group. Their work bridges computational methods with terminology management. Education: Licenciate degree in Computational Linguistics; Magistersexamen (~MSc) in Cognitive Science. Research Focus Jody’s research centers on computational terminology management , involving: Monolingual and bilingual automatic term extraction Term clustering and semantic mirroring Terminology harmonization for standardization Integration of machine learning and language models Applications in patent analysis and SMT (Statistical Machine Translation) Publication Trends Their publications (2003–2014) span computational linguistics, NLP, and terminology engineering. Notable areas include SVM-based term detection, semantic mirroring for patent terminology, and corpus augmentation for machine translation. Collaborative works with Merkel, Andersson, and others highlight interdisciplinary approaches. Contact Email: jody.foo@liu.se | Office: Room E 3F:482, Linköping
Outi Kaltio serves as a Lecturer in Latin language at the Faculty of Theology , University of Helsinki , with a focus on Church History . Holding a Doctor of Philosophy from the University of Helsinki, her academic career spans teaching Latin to ~150 theology students annually and developing educational materials. Education: Ph.D. in Latin language and literature (2020), M.A. in Latin language and literature (2005) Her research centers on Latin philology , textual history , and the transformation of medieval texts , particularly through projects like the text-critical analysis of Constantine the African's Pantegni, Theorica – Europe's first Greek/Byzantine/Arabic medical compendium. She has contributed to understanding textual evolution across manuscripts like Codex Eö.II.14 and exploring interactions between traditional Roman religion and Christianity. Recent publications show a consistent focus on medieval medical knowledge transmission (2008-2023) and manuscript studies , with methodological expertise in textual criticism , transcription , and historical lexicography . She received the Teacher of the Year award in 2015 and actively participates in academic events like the Doctoral Conferment Ceremony of the Faculty of Theology (2017) and Antiikin kielet ja teologia conference (2023). Key Activities: Co-developer of Lalli digital Latin learning environment (2014-present) Supervisor in Doctoral Programme in Language Studies Contributor to Nuntii Latini Latin news program (2004-2019)
Fabien Pierre is an Associate Professor at the University of Lorraine in Nancy, France, affiliated with the MAGRIT/Tangram team at LORIA (Lorrain Research Laboratory in Computer Science and its Applications), a joint research unit between CNRS, Inria, and the University of Lorraine. He has been a lecturer at the University of Lorraine since 2017 and previously served as Head of the DUT/BUT MMI (Multimedia and Internet Professions) department at the IUT of Saint Dié from September 2019 to August 2022. His educational background includes: Doctor of Applied Mathematics from the University of Bordeaux (2016) Master 2 in Signal and Image Processing, with honors (2013) Master 2 in Fundamental Mathematics, with honors (2011) Mathematics Aggregation, specializing in Probability and Statistics (2012) Fabien Pierre's research focuses on the intersection of mathematics, computer science, and image processing. His work primarily centers on image and video colorization, enhancement, and restoration techniques. He has developed innovative approaches combining variational methods with deep learning for various applications including medical imaging, film restoration, and video processing. His research has significant applications in medical diagnostics (particularly for aneurysm detection), quality control in industrial settings, and cultural heritage preservation through film restoration. His recent publications (2021-2023) demonstrate a clear trend toward applying deep learning to medical imaging challenges, particularly in aneurysm detection, while continuing to advance colorization techniques with novel hybrid approaches that combine traditional variational methods with modern neural network architectures. This evolution reflects his ability to adapt mathematical frameworks to leverage emerging AI technologies. As a scientific manager, he leads the ANR Arcé project focused on Automatic Colorization of Videos. His software contributions include COLOCIEL, a graphical interface for image colorization, and various Matlab toolboxes for contrast enhancement and image processing. He actively mentors the next generation of researchers, having co-supervised several doctoral theses and internships. His current advisee is Nicolas Maignan, while he has previously supervised Arthur Renaudeau, Youssef Assis, and Gaetano Agazzotti. His teaching portfolio spans DUT-level courses in scientific culture, algorithms, and JavaScript, as well as Master's level instruction in deterministic tools and models for information systems. Based at INRIA Nancy Grand Est, Pierre operates within a robust research ecosystem that bridges theoretical mathematics with practical computer vision applications across multiple domains.
Frederick W. Faltin is a Professor of Practice in the Department of Statistics at Virginia Tech's College of Science , serving as Director of Corporate Partnerships for the Academy of Data Science . His roles include bridging academic research with industry applications through collaborative projects and educational initiatives. Education: S.B. in Mathematics, Massachusetts Institute of Technology M.S. in Operations Research and Mathematical Statistics, Cornell University Research Interests: Focuses on process monitoring and control , manufacturing/service process improvement , and risk management . Specializes in statistical methodologies for quality assurance, including control charts, algorithmic process optimization, and failure mode analysis. Extends his expertise into healthcare analytics and software testing frameworks. Publications & Contributions: Authored/co-edited influential works like Statistical Methods in Healthcare (2012) and Encyclopedia of Statistics in Quality & Productivity (2007). Recent research explores statistical engineering paradigms and defect rate paradoxes in supplier-customer dynamics. Awards & Recognition: Fellow, American Statistical Association (ASA) Shewell Prize, American Society for Quality (ASQ) Teaching & Outreach: Instructs CMDA 4864 (Senior Capstone in Data Analytics) and STAT 4214 (Advanced Regression Methods) . Leads corporate partnerships to integrate industry needs into academic curricula. Office located at 312 Data and Decision Sciences, Blacksburg, VA. Labs & Teams: Engaged in Virginia Tech's Academy of Data Science, fostering cross-disciplinary collaborations between academia and enterprise sectors.
Brian Dorn is an academic specializing in computer science education and pedagogical strategies. He has held editorial roles in the Computers & Education journal, collaborating frequently with Jan Vahrenhold. His work focuses on flipped classroom methodologies, programming education, and the analysis of student engagement in technology-mediated learning environments. Dorn has contributed to conferences like SIGCSE and ICER, addressing topics such as compiler error analysis, web design pedagogy, and assessment tools for computing attitudes. His research spans both formal and informal learning contexts, including studies of end-user programmers and K-12 CS education outreach. He has co-edited proceedings for major CS education conferences and authored foundational papers on video-based learning analytics and context-driven instruction in computer architecture courses. Dorn's work emphasizes bridging theory and practice in CS education through empirical studies and innovative teaching frameworks.
Muhammad Ali Gulzar is an Assistant Professor in the Department of Computer Science at Virginia Tech and an Amazon Scholar at Amazon Web Services. He holds a Ph.D. (2020) and B.S. (2014) in Computer Science from UCLA and Lahore University of Management Sciences, respectively. His research focuses on improving developer productivity through automated debugging and testing for emerging software domains, including data-intensive systems, machine learning applications, and computational notebooks. Education Ph.D., Computer Science, University of California, Los Angeles (2020) B.S., Computer Science, Lahore University of Management Sciences, Pakistan (2014) Research Interests Dr. Gulzar redesigns software productivity tools for emerging applications across three areas: (1) automated tracking-code localization in web applications, (2) re-engineering testing/debugging for data-intensive systems (e.g., Apache Spark), and (3) advancing testing/debugging in federated learning. His work includes projects like TraceFL for federated learning interpretability, NoT.JS for JavaScript tracking blocking, and MeanCache for LLM caching. Recent Contributions Recent papers address accessibility issues in ad-driven web pages (ICSE 2025), interpretability in federated learning (ICSE 2025), and notebook executability (MSR 2025). His team received the ACM CCS 2024 Distinguished Artifact Award for tracking JavaScript function analysis and a 2024-25 Amazon-VT Award for semantic caching research. Grants & Projects CCI-funded project on web ad transparency/accessibility engineering Amazon Scholar collaboration on productivity tools Student Contributions Recent advisees include Abdul Haddi Amjad (ad accessibility), Waris Gill (Federated Learning), and Tien Nguyen (notebook analysis). Students have contributed to industry-relevant tools like GitMeter for evidence-based hiring and DeSQL for SQL debugging.
Lidiјa Palurović is a Lecturer in English Language and Literature at the Department of Social and Humanistic Sciences, Faculty of Technical Sciences Čačak, University of Kragujevac. She has been employed at the faculty since 2005 and holds a BA (1997) and MA (2009) from the Faculty of Philology at the University of Belgrade, with ongoing doctoral studies in English Studies. Her roles include teaching English for Information Technology programs and serving as a translator/editor for scientific publications. Her research focuses on Technical English pedagogy, translation of scientific texts, and the impact of digital media on language learning. She has edited the Serbian Journal of Electrical Engineering since 2008 and contributed to numerous international projects like the Serbia Enterprise Development Project (USAID, 2006). Key publications include works on postmodern literary analysis, technical communication methodologies, and the role of social media in language acquisition. Her work spans over 50 publications, including translated monographs, peer-reviewed articles, and textbooks such as English Terminology in IT (2018) and English for Technical Students (2014). Her research emphasizes bridging technical disciplines with effective communication strategies, particularly in engineering and agricultural contexts.
Efthymia Nikita is an Assistant Professor in Bioarchaeology at The Cyprus Institute's Science and Technology in Archaeology and Culture Research Center (STARC). She holds a BA in Archaeology from Aristotle University of Thessaloniki and a PhD in Biological Anthropology from the University of Cambridge. Her research focuses on biocultural approaches to ancient populations, including mobility, health, diet, and osteoarchaeological methodology. She has authored over 65 articles and book chapters, including a textbook honored by the American Publishers Awards. She currently co-edits the Encyclopedia of Archaeology (Elsevier) and serves on editorial boards for Journal of Archaeological Science and Archaeological and Anthropological Sciences . Her work emphasizes refining methods for studying commingled remains and activity markers, with recent contributions to bioarchaeological databases and software tools for skeletal analysis. Her research spans Mediterranean and Middle Eastern populations, with projects in Cyprus, Greece, Sicily, and Tunisia. Notable themes include demographic patterns, dental calculus analysis, and genetic discontinuity in historical communities. She has led excavations and osteological studies, integrating statistical methods and digital technologies to advance archaeological knowledge. Education: Bachelor of Arts (Archaeology), Aristotle University of Thessaloniki Doctor of Philosophy (Biological Anthropology), University of Cambridge Key Research Themes: Mobility and demography in ancient populations Osteoarchaeological methodology (e.g., sex/age estimation algorithms) Health and diet reconstruction through skeletal and dental analysis Digital tools for archaeological data management Awards: Honorable Mention, American Publishers Awards for Osteoarchaeology: A Guide to the Macroscopic Study of Human Skeletal Remains Lab/Team Affiliations: Director of STARC's Osteoarchaeological Research Programs Collaborator with international institutions (e.g., British School at Athens, American School of Classical Studies)
Thomas M. Powers is an Associate Professor of Philosophy and Director of the Center for Science, Ethics & Public Policy at the University of Delaware. He holds affiliations with the Biden School of Public Policy & Administration, Data Science Institute, and Delaware Biotechnology Institute. His research focuses on ethics of information technology, artificial intelligence, machine ethics, and nanotechnology. He earned his Ph.D. in Philosophy from the University of Texas at Austin and a B.A. from the College of William and Mary. His work explores ethical dimensions of emerging technologies, including AI, robotics, and sociotechnical systems. Key interests include moral agency of machines, deontological ethics in AI, and the societal implications of technological advancements. He has authored or edited multiple books, including Philosophy and Computing (2017), and contributed to high-impact journals in ethics and technology. Powers has secured over $20 million in research funding, leading projects on AI ethics, autonomous systems, and nanotechnology. He serves on editorial boards for journals like Philosophy & Technology and advises international initiatives on AI governance. His service roles include leadership in professional organizations such as the International Association for Computing and Philosophy. He is a frequent speaker on ethics of AI, data science, and robotics at global conferences. His avocational interests include motorcycle and automobile restoration.
Walter Effross is a Professor at American University Washington College of Law , where he teaches courses including Corporate Bankruptcy, E-Commerce Law & Drafting, Business Associations, and Corporate Governance. With a B.A. from Princeton University and J.D. from Harvard Law School , he previously practiced commercial and computer law at major New Jersey law firms and clerked for Justice Daniel J. O'Hern of the Supreme Court of New Jersey. Areas of Specialization: Bankruptcy Law, Intellectual Property, Internet and Computer Law, Corporate Governance Leadership Roles: Member of American Law Institute, Co-Author of New Jersey Bankruptcy Practice Manual , Former ABA Subcommittee Chair on Electronic Commerce His research focuses on corporate governance , e-commerce regulation , bankruptcy law , and digital transaction frameworks , with over two dozen publications spanning three decades. Recent work includes the 2022 third edition of his casebook Corporate Governance: Principles, Practices, and Provisions . Scientific Recognition includes multiple WCL Research Awards and contributions to journals like the International Journal of Electronic Commerce . He also advises the Blockchain & Cryptocurrency Legal Issues Group and created the Blockchain for Law Students educational platform in 2018.
Lui Raymond Sha is the Donald B. Gillies Chair and holds the rank of Professor across multiple departments at the University of Illinois at Urbana-Champaign. He is affiliated with the Siebel School of Computing and Data Science, Electrical and Computer Engineering Department, Information Trust Institute, and Coordinated Science Lab. His research focuses on real-time systems, cyber-physical systems, and safety-critical applications such as autonomous vehicles and UAV navigation. Key research interests include real-time systems, embedded systems, and physics-informed AI. Recent work emphasizes resilient control strategies, collision avoidance in autonomous vehicles, and physics-regulated deep reinforcement learning. He has contributed to advancements in model predictive control and safe planning in untrusted environments. Sha is an IEEE Fellow (1998), recognizing his contributions to real-time systems and cyber-physical systems research. His work has been supported by grants including an 2020 award for AI research to mitigate COVID-19 challenges. He collaborates widely on projects involving UAVs, medical devices, and safety-critical embedded systems. His research outputs span 295 publications, including peer-reviewed articles in IEEE Transactions on Neural Networks , Journal of Guidance, Control, and Dynamics , and Software Testing Verification and Reliability . Ongoing projects explore verifiable autonomous systems and resilient estimation techniques in untrusted environments.
Myung-Ja Han serves as the Andrew S.G. Turyn Professor and Metadata Librarian at the University Library of the University of Illinois at Urbana-Champaign, holding a faculty position within the academic library system. Her role combines scholarly research with practical metadata management in digital library infrastructure. Her research focuses on digital libraries, metadata standards, linked open data, and cultural heritage preservation, with significant contributions to understanding metadata evolution and user interactions in library systems. Han's work bridges library science and computer science, emphasizing technical interoperability and sustainable digital collection management through longitudinal studies and large-scale data analysis. Recent publications demonstrate a consistent trend toward practical applications of linked data and metadata normalization in institutional digital libraries. Her research addresses critical challenges in authority reconciliation, type metadata standardization, and longitudinal metadata changes, advancing methodologies for scalable and interoperable digital library systems. Honors and awards received by Dr. Han include: Esther J. Piercy Award (2015) from the Association for Library and Information Science Education RSA Digital Innovation Award (2023) for collaborative technical contributions While her scholarly output shows significant engagement through citations and reader metrics (e.g., 12 Mendeley readers for her 2020 user tagging study), the available information does not detail formal academic advising relationships, research grants, laboratory affiliations, or specific collaborative teams beyond co-authorship patterns.
Edward Reingold is a professor of Computer Science & Applied Mathematics at Illinois Institute of Technology (IIT). He holds a PhD from Cornell University and spent over 30 years as faculty at the University of Illinois Urbana-Champaign (CS @ ILLINOIS), where he made foundational contributions to computer science theory. His research focuses on algorithms, data structures, and graph drawing techniques like force-directed placement, which are widely used in network visualization across scientific and social domains. He authored influential textbooks such as Combinatorial Algorithms (translated into multiple languages) and Calendrical Calculations , now in its fourth edition. He contributed to GNU Emacs's calendar/diary functionality and other software packages. Reingold served as Department Head of IIT's Computer Science department for six years before returning to full-time faculty. Recognized as an ACM Fellow, he also received the 2016 Distinguished Academic Achievement Alumni Award. His work on Operation Match, the first computerized dating system, was highlighted by the BBC in 2014. He credits this system with connecting him to his late wife Ruth, with whom he shared 47 years of marriage, raising four daughters and 12 grandchildren.
Professor Darren Dalcher is a distinguished academic in Strategic Project Management at Lancaster University Management School. He holds visiting roles at multiple institutions including Warwick, WU Vienna, and Reykjavik University. As Director of the National Centre for Project Management (NCPM), he bridges academia, industry, and government. His PhD from King's College London focused on project lifecycle optimization and continuous delivery, with early work on systems failure analysis through an IEEE taskforce. He has authored over 300 papers and 30 books, translated globally, and serves as Editor-in-Chief of Wiley’s Journal of Software: Evolution and Process . Education: PhD (Systems & Software Engineering), King's College London. Key roles include founding the UK’s first professional doctorate in project management and leading the APM Body of Knowledge 7th edition. Awards include Honorary Fellowship from APM and multiple best-paper recognitions. Research focuses on redefining project success, ethics in decision-making, and agility in strategy execution. He curates the world’s largest failure-story database to refine sustainable success metrics. Current teaching includes advanced project management modules and doctoral supervision in areas like agile development and project failure analysis. Professional contributions span international committees (PMI, BSI), editorial boards, and advisory roles. Notable activities include chairing the APM Conference for five years and keynote speaking globally. External roles include membership in over 20 professional bodies, including the PMI Academic Insight Team and IEEE. Labs/Teams: National Centre for Project Management (NCPM), Routledge Project Management Book Series, and the APM Body of Knowledge editorial team. His research groups explore digitalization maturity, VUCA environments, and responsible project management frameworks.
Richard Paige is an Honorary Visiting Professor in Computer Science at the University of York, specializing in software engineering methodologies. His academic career spans positions at University of Toronto, York University (Canada), and University of York where he served as Professor of Enterprise Systems and Director of the EngD Centre in Large-Scale Complex IT Systems. Research focuses on: Model-driven software development Agile methodologies Formal verification methods Service-oriented architectures Systems engineering approaches Recent publications address distributed model validation, polystore analytics architectures, and software engineering workshop organization. His work demonstrates consistent focus on improving rigor and efficiency in software development processes. Significant honors include: ACM Most Influential Paper Award (MoDELS 2016) ACM Best Paper Award (MoDELS 2010) Best Paper (MySEC 2011) He has supervised numerous doctoral students and leads research in automated software engineering. Current affiliations include McMaster University where he holds a full professorship alongside his visiting position at York.
