Claire Bowern is Professor of Linguistics at Yale University specializing in historical linguistics, language documentation, and Australian Indigenous languages. Her research employs computational phylogenetics to study language evolution and supports language revitalization through digital archives and fieldwork methodologies. Recent publications address: Phylogenetic signal in lexical evolution across language families Digital infrastructure for endangered language documentation (FLEx software analysis) Decolonizing linguistics pedagogy and research practices Her work consistently integrates linguistic, anthropological, and computational approaches to analyze language diversity and change. She contributes to global databases including Grambank and D-PLACE, examining links between linguistic, cultural, and environmental patterns.
Dr. Jimeng Sun is a Health Innovation Professor at the Siebel School of Computing and Data Science and Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign. Co-founder of Keiji AI , he leads groundbreaking research at the intersection of artificial intelligence and healthcare, actively deploying clinical AI systems and developing frameworks like PyHealth and Therapeutics Data Commons . His research spans four major areas: Clinical AI Systems : Developing interpretable models (e.g., RETAIN) for patient similarity, temporal event prediction, medication recommendation, and clinical outcome forecasting Drug Discovery : Creating molecular optimization frameworks, drug-target interaction models, and AI-driven platforms Clinical Trials : Pioneering patient-trial matching, outcome prediction, and optimization frameworks using deep learning and graph neural networks Biosignal Analysis : Advancing sleep staging, seizure classification, and automated EEG/Cardiac monitoring systems With over 500 top-tier publications (including in Nature , NEJM AI , and leading AI conferences) and an h-index of 99, his work has been recognized with the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare award. He maintains active collaborations with institutions like Massachusetts General Hospital , Medidata Solutions , and OSF Healthcare . His recent publications reveal a strong focus on: Reinforcement learning applications in medical data analysis Large language model adaptation for clinical tasks Knowledge graph integration with AI systems Synthetic data generation for healthcare Multi-modal learning in clinical contexts Explainable AI for medical applications Dr. Sun's lab ( Sunlab ) emphasizes practical impact over theoretical work, actively collaborating with hospitals and healthtech companies. He welcomes contributions from clinicians, researchers, and industry partners through initiatives like his AI for Health webinar series .
Ruth Mostern is Associate Professor of History at the University of Pittsburgh and Director of the Institute for Spatial History Innovation (ISHI). She is Vice-President and President-Elect (2025-2026) of the World History Association and leads the award-winning World Historical Gazetteer project. Education Ph.D. in History, University of California, Berkeley, 2003 Research Interests Mostern is an interdisciplinary historian specializing in world, Chinese, environmental, and spatial history. She investigates long-term human–environment interactions at continental and millennial scales, focusing on how societies organize space, resources, and risk. Her work integrates GIS, digital gazetteers, and environmental science to reconstruct historical geographies of empire, water management, and ecological change. Current projects include: Place: A Global History – a study of itineraries, gazetteers, and databases as technologies of spatial knowledge. The Medieval Climate Anomaly and the Global Medieval Era – cultural adaptations to climate change c. 950-1250 CE. Research Trends Her recent publications span digital environmental humanities, historical GIS, Song-dynasty political economy, and pre-industrial Asian political ecology. A dominant theme is the coupling of state power with environmental transformation, exemplified by her 2021 book The Yellow River: A Natural and Unnatural History (Yale), winner of the 2023 Joseph Levenson Prize. Awards & Honors Joseph Levenson Prize, Association for Asian Studies, 2023 NEH Digital Humanities Advancement Grant, 2023-2025 Digital Humanities Awards 2021 – Best DH Tool (World Historical Gazetteer) Fudan University Fellowship for Studies of Chinese Civilization, 2019 NEH Humanities Connections Implementation Grant, 2018-2020 Chiang Ching-kuo Foundation Summer Institute Grant, 2015-2016 NSF Collaborative Research Grant, 2013-2015 ACLS Digital Innovation Fellowship, 2011-2012 Advising & Grants Mostern welcomes graduate students interested in environmental, global, Asian, or digital history. She has directed multiple externally funded projects, including the NSF-funded Center for Historical Information and Analysis and NEH-supported initiatives on water in Central Asia and global historical gazetteers. Labs & Teams She directs the Institute for Spatial History Innovation (ISHI) at the University of Pittsburgh, a hub for interdisciplinary research integrating spatial technologies with historical inquiry. ISHI hosts the World Historical Gazetteer , providing open tools and datasets that link knowledge about historical places across world regions.
Marcus Smith is an Associate Professor in Law at the Charles Sturt University , where he teaches LAW222 Technology Law and directs the Bachelor of Laws program. He holds advanced degrees from the Australian National University (PhD, LLM) and the University of Cambridge (MPhil). His research spans technology law and regulation , focusing on genomic data governance biometric identification AI ethics blockchain policy cybersecurity surveillance law He leads the Contemporary Threats to Australian Security research group and serves as Chief Investigator on an NHMRC-funded project (MRF2015531) addressing genomic dataset governance. His recent work analyzes algorithmic bias in facial recognition AI in healthcare blockchain's regulatory challenges post-pandemic cybercrime surveillance ethics data security frameworks He actively supervises PhD and honours students in technology law and contributes to law reform through submissions to international bodies like the UN Human Rights Council .
Emily A. Gasser is an Associate Professor in the Linguistics Department at Swarthmore College , specializing in Austronesian languages , Wallacea & northwest New Guinea , and language documentation . Her research spans phonology, morphology, typology , and language contact , with a focus on endangered languages and computational phylogenetics . She is currently on sabbatical for the 2025-26 academic year, conducting fieldwork in Manokwari, writing a Wamesa grammar, and developing new courses. Research Interests include: Language documentation and fieldwork in Austronesian and Papuan-speaking regions Phonological variation and vowel harmony systems Typological surveys of adnominal possession and morphological structures Interaction between prosodic features in media speech and socio-phonetics Computational tools for historical linguistics and classifier system analysis Recent publications focus on vowel harmony , prosodic perception , and possessive constructions across Wallacea and Northwest New Guinea. She edits volumes on Austronesian-Papuan language contact and contributes to open-access research initiatives.
Martin Willis Monroe is an Assistant Professor in the Department of Classics and Ancient History at the University of New Brunswick. His research focuses on the ancient Middle East, particularly cuneiform cultures, with an emphasis on the history of scholarly knowledge in Babylonian and Assyrian societies. He specializes in Mesopotamian astronomy and astrology, as well as quantitative approaches to historical data. Dr. Monroe holds a PhD in Assyriology from Brown University (2016), an MPhil and BA in Ancient Near Eastern Studies from the School of Oriental and African Studies (2008, 2007). Previously, he served as a postdoctoral fellow and research associate at the University of British Columbia (2016–2023). His current projects include the publication of his Hellenistic astrology research under contract with Brill, titled Celestial Schemata: A Series of Astrological Tables from Seleucid Babylonia , and his role as associate director of the Database of Religious History , a global initiative to quantitatively analyze religious and cultural data. He has contributed to excavations at the Neo-Assyrian site of Tušhan in southeastern Turkey and advocates for responsible qualitative-to-quantitative data conversion in historical scholarship. Dr. Monroe’s research bridges traditional philological approaches with digital humanities, focusing on topics such as cuneiform astral diagrams, the intersection of ‘scientific’ and ‘religious’ texts in antiquity, and the application of computational methods to undeciphered scripts. He teaches courses on ancient civilizations, Near Eastern history, and archaeology.
Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .
Javier Franco Aixelá **Roles and Affiliations**: Full Professor of Translation and Interpreting at the University of Alicante, Director of the Department of Translation and Interpretation (2017–2021). Coordinates the Master's in Institutional Translation (Legal and Economic). Active in teaching Translation Theory, Professional Ethics, and Advanced Literary Translation. **Education**: PhD in English Philology (University of Alicante, 1996), Licenciatura in English Philology (Complutense University of Madrid, 1986), Expert in Translation (Complutense University of Madrid, 1991). **Research**: Specializes in translation theory, cultural aspects of translation, and bibliometrics. Founded the BITRA database (70,000 entries by 2017), a comprehensive online bibliography on translation and interpreting. Recent focus on bibliometric analysis of translation studies, including advertising translation, open access in academia, and cognitive approaches. **Teaching**: Taught courses like Professional Ethics, Advanced Literary Translation, and Translation of Research Genres. Supervised over 125 theses in the last five years, including high-impact works on medical neologisms (Habiba Chbab El Fakhi) and gender-neutral translation (María López Medel). **Awards**: Coordinator of the University of Alicante's Translation Doctoral Program, which received a quality distinction from the Ministry of Education. His theses have been awarded "Excellent Cum Laude" by the university. **Projects**: Led competitive research projects such as the 2021–2025 bibliometric study on economic translation and the BITRA database expansion (2007–2010). Collaborated on international initiatives like the 5th ICEBFIT Conference (2023). **Publications**: Authored 40+ books (e.g., *La traducción condicionada de los nombres propios*), co-edited *ENTI: Encyclopedia of Translation and Interpreting*, and published widely in journals like *META* and *Translation & Interpreting*.
Jeremy Gibbons is a Professor of Computing at the University of Oxford, affiliated with the Department of Computer Science within the Faculty of Computer Science. He serves as Director of the Professional Programmes, overseeing part-time postgraduate degrees in Software Engineering. His roles include Chair of the Faculty of Computer Science (2012–2016), Director of the Software Engineering Programme, and Fellow of Kellogg College. Gibbons' research focuses on programming methodologies, particularly functional and object-oriented languages, with an emphasis on program calculation, design patterns, and bidirectional transformations. He leads the Algebra of Programming research group and is Editor-in-Chief of the Journal of Functional Programming and The Art, Science, and Engineering of Programming . Education includes a D.Phil. from Oxford University. His work spans formal methods, domain-specific modeling for clinical trials (e.g., CancerGrid project), and semantic frameworks for software systems. He has advised numerous students and contributed to open-access initiatives in publishing. Key collaborations include roles in ACM SIGPLAN and IFIP Working Groups 2.1 and 2.11. Research interests emphasize foundational aspects like profunctor optics, categorical programming, and algorithm design. Notable projects include datatype-generic programming and metadata-driven engineering for clinical trials. His work bridges theoretical computer science with practical applications in software architecture and system design.
James Scoates is a Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), affiliated with the Faculty of Science. His research focuses on magmatic processes, including the origin and evolution of silicate magmas, geochemical and isotopic studies of layered intrusions and anorthosite suites, and the formation of magmatic ore deposits. He has held positions at UBC since 2002, following roles at Université Libre de Bruxelles (1995-2001). Education: B.Sc. (Honours), 1987, Queen's University at Kingston, Canada Ph.D., 1994, University of Wyoming, USA Research Interests: His work spans igneous petrology, geochronology, and mineral deposit geology. Key areas include physical volcanology of Large Igneous Provinces (LIPs), the geochemical evolution of magma plumbing systems in layered intrusions like the Skaergaard and Bushveld Complexes, and the application of isotopic techniques to trace mantle sources. He also investigates convergent margin Ni-Cu-PGE deposits and their tectonic contexts. Awards: Faculty Teaching Award, 2021 (EOAS-UBC) Killam Teaching Award, 2018 (UBC) Young Scientist Award, 2001 (Mineralogical Association of Canada) Teaching & Leadership: Dr. Scoates teaches courses in mineralogy, geochemistry, mineral deposits, and field geology. He has led initiatives to innovate geoscience education through virtual field experiences and peer-learning strategies. He chairs the MAGNET NSERC CREATE program and serves on the Pacific Centre for Isotopic and Geochemical Research (PCIGR) steering committee. Key Projects: Investigating the geochemical evolution of Hawaiian plumes and mantle heterogeneity. Studying magma storage and differentiation in the Muskox intrusion (Mackenzie LIP). Developing geochronological frameworks for layered intrusions like the Stillwater Complex.
Zhendong Su is a full professor in the Department of Computer Science at ETH Zurich since August 2018. Previously, he held a full professorship at UC Davis from 2003 until June 2019. He earned his Ph.D. in Computer Science from UC Berkeley and dual Bachelor’s degrees in Computer Science and Mathematics from UT Austin in 1995. Affiliations: ETH Zurich: Full Professor (since 2018) UC Davis: Full Professor and Chancellor’s Fellow (2003–2019) IEEE Fellow, ACM Fellow, and Member of Academia Europaea His research focuses on programming languages, compilers, software engineering, computer security, and education technologies . Key contributions include compiler validation (e.g., Project Yin-Yang for SMT solvers and DBMS testing), testing tools like SQLancer, and educational innovations such as the Algot visual programming language. Recent work emphasizes secure AI (e.g., CipherSteal for TEE-shielded models) and compiler reliability (e.g., Artemis/Apollo for JIT validation). He has pioneered techniques like metamorphic testing and equivalence modulo inputs (EMI) for compiler validation, uncovering thousands of bugs in GCC/LLVM and SMT solvers. Awards: ICSE MIP Award (2022), ACM SIGSOFT Impact Paper (2018), NSF CAREER Award, and multiple industrial awards. His students have won IEEE TCSE Rising Star and SIGSOFT Impact Paper awards, securing roles at top universities and companies like Google and NVIDIA. Service: Steering committee member of ISSTA and ESEC/FSE, ACM Distinguished Speaker, and Associate Editor for ACM TOSEM. Program chaired ISSTA 2012 and co-chaired FSE 2016. Labs/Teams: Leads research groups on compiler validation, secure AI, and education technologies. Projects include Yin-Yang (SMT testing), SQLancer (DBMS fuzzing), and Algot (visual programming for education).
John Voight is a Professor of Mathematics at the University of Sydney, affiliated with the School of Mathematics and Statistics. He holds a Ph.D. from UC Berkeley (2005) and has held academic positions at the University of Sydney, University of Minnesota, University of Vermont, and Dartmouth College. His research focuses on arithmetic algebraic geometry, number theory, and computational aspects of these fields, including modular forms, elliptic curves, and quaternion algebras. Education: Ph.D. in Mathematics, UC Berkeley (2005); earlier studies include a focus on classical piano and liberal arts at Gonzaga University. Professional trajectory includes postdoctoral roles at the University of Sydney and University of Minnesota, followed by faculty appointments at the University of Vermont (2006–2013) and Dartmouth College (2013–present). Research Interests: Arithmetic algebraic geometry: modular curves, Shimura varieties, moduli spaces, and algorithmic methods Number theory: algebraic number theory, quadratic forms, cryptography, and coding theory Computational mathematics: modular forms, quaternion algebras, and database construction (e.g., LMFDB) Publications and Recognition: Over 90 peer-reviewed articles, including contributions to Contemp. Math. , Math. Comp. , and Res. Number Theory . Recipient of the Selfridge Prize in Number Theory and recognized for teaching excellence at Dartmouth. Leads projects on Hilbert modular forms and paramodular abelian surfaces. Teaching and Mentorship: Emphasizes student-centered learning and the integration of liberal arts with STEM. Advises students on topics ranging from elliptic curves to cryptography. Active in curriculum design and promoting computational tools in mathematics education. Labs/Teams: Collaborates with the L-Functions and Modular Forms Database (LMFDB) project, contributing to computational frameworks for algebraic geometry and number theory.
Alan Sussman is a Professor and Associate Chair of Undergraduate Education in the Computer Science department at the University of Maryland. His research focuses on databases, high-performance computing, parallel systems, and educational curriculum development for computing disciplines. He holds a Ph.D. from Carnegie Mellon University (1991) and a B.S.E. from Princeton University (1982). His educational contributions include integrating parallel and distributed computing concepts into early undergraduate courses, supported by NSF-funded initiatives like the CyberTraining program. He has advised students such as Harshit Soora (Master's) and Xiaolong Tian (PhD). His research spans compiler optimizations for parallel programs, distributed data management systems, and scientific workflow frameworks like DYFLOW. He collaborates with UMIACS and contributes to interdisciplinary projects like the TASCS center. Key innovations include VeloxDFS for distributed dataset streaming, compiler techniques for irregular memory access in PGAS programs, and NetCDFaster for geospatial data optimization. His work emphasizes productivity improvements for high-performance applications and curriculum modernization to address emerging computational challenges. Awards: No individual awards explicitly listed; however, collaborator Jik-Soo Kim received a best paper award in 2006. Grants: NSF CyberTraining, TCPP Curriculum Initiative, and Center for Technology for Advanced Scientific Component Software (TASCS). Labs/Teams: Active in UMIACS and interdisciplinary collaborations, including the TASCS center and InterComm framework development.
Erald Troja is a Tenured Associate Professor in the Mathematics, Computer Science and Science Division at St. John's University's Collins College of Professional Studies. He serves as the acting Program Director for the Cyber Security Systems program and the Director of the National Security Agency Center of Academic Excellence in Cybersecurity (NCAE). He holds a Ph.D. in Computer Science from The Graduate Center, CUNY, and previously served as an Assistant Professor at IONA College. With over 20 years of industry experience, he worked as a Sr. Systems Engineer at Time Warner Cable and Charter Communications. His research focuses on cybersecurity, privacy-preserving computations, location privacy, applied cryptography, and mobile computing. Recent work includes gamification of cybersecurity education using the metaverse, AI integration in cybersecurity curricula, and mitigating threats in autonomous systems. He has published in top-tier venues like IEEE Access, Ad Hoc Networks, and IEEE VTC. Teaching interests include network security, wireless security, and cryptography. He has developed innovative pedagogical methods like escape room-style learning and virtual reality-based training. His contributions to cybersecurity education and research have positioned him as a leader in advancing practical cybersecurity solutions and educational frameworks.
Jeff Offutt is a Professor and Chair of the Department of Computer Science at the University at Albany, College of Nanotechnology, Software, & Engineering. Previously, he was a Full Professor with Tenure in Software Engineering at George Mason University since 2005. He received his PhD in Information & Computer Science from the Georgia Institute of Technology in 1988. His research spans software testing, mutation testing, model-based testing, automatic test data generation, web application testing, and software engineering education. He has led significant projects such as the NSF-funded integration of CS into K-5 classrooms and the Google-funded SPARC project for scalable CS1/CS2 instruction. The 15 most recent articles reflect a continued focus on mutation testing cost reduction, model-based testing oracles, educational innovations, and security aspects of web applications. Trends include empirical validation, industrial applicability, and bridging theory with practice in software testing and engineering education. John Toups Presidential Medal for Excellence in Teaching (2020) George Mason University’s Alumni Association Faculty Member of the Year (2020) Outstanding Faculty Award from the State Council of Higher Education for Virginia (2019) Best Paper Award at ICST 2021 10-Year Most Influential Paper Award at MODELS 2020 George Mason University Teaching Excellence Award (2013) ACM Notable Article Award (2013) Jeff Offutt has mentored numerous graduate students including Upsorn Praphamontripong, Nan Li, and Yu-Seung Ma, and has led major grant-funded projects such as the SPARC educational model and NSF initiatives on K-5 CS integration. His textbook Introduction to Software Testing (with Paul Ammann) is widely adopted globally. He led the MS in Software Engineering program at GMU and developed several new courses in software testing, web engineering, and usability. He pioneered innovative teaching methods using web technologies and asynchronous learning models. He also co-founded the IEEE International Conference on Software Testing, Verification and Validation (ICST) and served as Editor-in-Chief of Software Testing, Verification and Reliability from 2007 to 2019.
