Professor Devyani Sharma is a Professor of Linguistics at Queen Mary University of London, affiliated with the Department of Linguistics within the School of Languages, Linguistics and Film. She holds a PhD from Stanford University. Her research focuses on sociolinguistics, style variation, migration, bilingualism, new varieties of English, syntax, typology, and accent bias. She has conducted extensive studies on diasporic communities, particularly Punjabi Londoners, examining dialect development and social change through projects like 'Generations of London English' and 'Accent Bias in Britain.' Her work integrates quantitative and qualitative methods, including sociolinguistic interviews, acoustic analysis, and discourse analysis. Notable contributions include studies on the role of social networks in language variation, the concept of 'lectal focusing,' and the impact of accent biases in professional contexts. She has authored/co-authored books such as From Deficit to Dialect: The Evolution of English in India and Singapore (2023) and edited volumes including English in the Indian Diaspora (2014). Professor Sharma collaborates on public engagement initiatives like Teach Real English! and Multilingual Capital , aiming to improve linguistic education and address accent bias in society. Her research has been funded by grants from the ESRC and other UK organizations, totaling over £412,000 for major projects. She serves as Associate Editor for the Journal of Sociolinguistics and contributes to international conferences and workshops.
Paul Daly is Professor and University Research Chair in Administrative Law & Governance at the University of Ottawa's Faculty of Law (Common Law Section), appointed in July 2019. Fluent in English and French, he maintains an active external role as part-time member of Canada's Environmental Protection Tribunal since 2019 and has held prior positions at the University of Cambridge and Université de Montréal, with visiting appointments at Harvard Law School, Université Paris II, Louvain Global College of Law, Trinity College Dublin, and Ireland's Law Reform Commission. His academic credentials include: BCL and LLM from University College Cork LLM from University of Pennsylvania Law School PhD from University of Cambridge Professor Daly's research centers on public law with exceptional focus on administrative law, examining judicial review standards, deference principles, and the constitutional foundations of administrative decision-making. His scholarship on the Vavilov framework and Doré duty has reshaped understanding of reasonableness review and fundamental rights application in administrative contexts. He pioneers interdisciplinary approaches connecting legal theory with practical governance challenges, emphasizing procedural fairness and accountability within the administrative state. Analysis of his publication trends reveals deep engagement with Canadian administrative law evolution while maintaining strong comparative perspectives across common law jurisdictions. His work consistently bridges doctrinal analysis with practical implications for tribunals, courts, and policymakers, particularly regarding standard of review methodologies and rights protection mechanisms. Scientific recognition includes: Lexpert Rising Stars Award (2023) for outstanding contributions to public law While specific doctoral students aren't documented, Professor Daly actively mentors through judicial training seminars and continuing legal education events nationwide. His scholarly influence extends through over 150 judicial citations internationally and frequent expert testimony. Grant funding details aren't specified, but his University Research Chair position signifies substantial institutional support for his administrative governance research program. His influential blog Administrative Law Matters serves as a central hub for global administrative law discourse, featuring case commentaries and theoretical analyses that directly inform judicial reasoning as evidenced by multiple Supreme Court of Canada citations.
Peter Millican is a Professor of Philosophy and Gilbert Ryle Fellow at Hertford College, University of Oxford, where he has served since 2005. He also holds a part-time role as Visiting Professor at the National University of Singapore (NUS) and temporary Visiting Professor at Nanyang Technological University (NTU). His academic roles include Head of Education & Outreach at the Institute for Ethics in AI. Education: Studied Mathematics at Oxford, switched to Philosophy and Theology, graduating with First Class Honours, then completed a B.Phil. in Philosophy at Oxford. His interdisciplinary work bridges Philosophy and Computing, notably co-founding the Oxford Computer Science and Philosophy degree program in 2012. Research focuses on Early Modern Philosophy (particularly David Hume), Philosophy of Language, Philosophy of Religion, and digital humanities. Major projects include the davidhume.org initiative and English Philosophical Texts Online . Key contributions include over 40 publications on Hume, ethics, and AI. He hosts the Futuremakers podcast exploring AI and climate change implications. Awards include the Gilbert Ryle Fellowship and editorial roles in Hume Studies . Outreach includes educational software development (e.g., PhiloComp.net ) and public engagement through media appearances, debates, and the Signature stylometric software used in high-profile literary analyses (e.g., identifying J.K. Rowling as 'Robert Galbraith').
Csaba Szepesvari is a Professor in the Department of Computing Science at the University of Alberta and Canada CIFAR AI Chair at Amii. His research focuses on developing efficient learning algorithms for sequential decision making problems, with particular emphasis on reinforcement learning theory, online learning, and bandit algorithms. Research interests include: Foundations of reinforcement learning and online decision making Convergence properties of learning algorithms Bandit problems and exploration-exploitation tradeoffs Function approximation in machine learning His publications demonstrate consistent theoretical contributions to understanding algorithmic convergence, complexity, and efficiency in reinforcement learning. Recent work explores LLM uncertainty estimation, policy gradient methods, and offline-to-online learning transitions. Leadership roles include: Foundations team lead at DeepMind Organizer of RL Theory Virtual seminar series He mentors graduate students in theoretical machine learning through the University of Alberta and Amii research programs.
Jun Li is a Full Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He specializes in developing statistical and computational methods for big data, with a focus on interdisciplinary applications in bioinformatics, machine learning, and data mining. His career includes tenure as an Assistant Professor (2012–2017) and promotion to Associate Professor (2017) before becoming Full Professor (2020). Dr. Li holds a Ph.D. in Statistics from Stanford University (2012), supervised by Robert Tibshirani, and earlier degrees from Tsinghua University: a B.E. in Automation (2004) and an M.S. in Pattern Recognition and Intelligent Systems (2007). Research Interests : Dr. Li’s work centers on advancing computational frameworks for handling large-scale datasets, integrating statistical rigor with algorithmic innovation. Recent themes include AI-driven code improvement, ethical LLM applications in HCI, and GUI automation. His methodologies emphasize human-AI collaboration and transparency in algorithmic systems. Publications : His 2025 work explores LLM vulnerabilities in GUI agents, AI-assisted education tools like GLITTER, and ethical challenges in HCI research. Earlier studies (2024–2023) address topics such as natural language database queries, privacy-preserving app promotion analysis, and multimodal task learning. Lab/Teams : Affiliated with Notre Dame’s computational statistics research groups, focusing on interdisciplinary projects bridging statistics, computer science, and applied mathematics. His work often involves collaborations with industry and academic partners to translate theoretical advancements into practical applications.
Professor Julian Richards is a leading academic in security and intelligence studies at the University of Buckingham, where he serves as Director of the Centre for Security and Intelligence Studies (BUCSIS). He holds a PhD in Political Violence from the University of Cambridge (1993) and spent nearly two decades in British Government intelligence roles before transitioning to academia in 2006. His roles include Programme Director for three MA programmes and supervising BUCSIS’s MPhil/DPhil research students. Education: PhD in Political Violence (Cambridge University, 1993). Prior to academia, he held senior intelligence positions with the UK Government. Research focuses on global security, extremism/radicalization, intelligence analysis techniques, and cyber threats. He has authored four books and numerous articles, including works on counter-terrorism, cyber-warfare, and Far-Right extremism in Europe. His media commentary spans BBC, Sky News, and international outlets. His articles explore contemporary security challenges such as post-Brexit intelligence dynamics, cyber resilience, and extremist propaganda in digital spaces. He emphasizes interdisciplinary approaches, combining political science, technology, and ethical considerations in intelligence practices. Awards: None explicitly listed, though his contributions to security discourse are widely recognized. He advises on policy and has testified in government inquiries on privacy-security balances. Advising & Grants: Supervises doctoral researchers in security studies and leads BUCSIS’s research initiatives. His work intersects academia and policy, addressing real-world security challenges through rigorous analysis. Labs/Teams: Directs BUCSIS, fostering collaborative research on global security threats. The Centre hosts interdisciplinary projects on intelligence analysis, cyber security, and counter-extremism strategies.
Athanasios Rontogiannis is an Associate Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA). He holds a PhD in Signal Processing from the National University of Athens (1997) and has held roles including Research Director at the National Observatory of Athens (2017–2021). His research focuses on signal processing, machine learning, and hyperspectral image analysis. Education: MEng (Electrical Engineering, NTUA, 1991), M.A.Sc. (University of Victoria, Canada, 1993), PhD (Signal Processing, National University of Athens, 1997). Research interests include adaptive algorithms, sparse representations, and tensor models. He has served on editorial boards of IEEE Transactions on Signal Processing and EURASIP journals, receiving an honorary distinction in 2020. He is a Senior Member of IEEE and affiliated with EURASIP and the Technical Chamber of Greece. Key contributions span hyperspectral unmixing, Bayesian algorithms, and space data exploitation. His work integrates machine learning for applications in space science and signal processing.
Thorsten Schoormann is an Associate Professor at Roskilde University's Department of People and Technology, specializing in Sustainable Digitalization. He holds a PhD in Information Systems from the University of Hildesheim (2019), along with MSc (2015) and BSc (2014) degrees in the same field. His research focuses on digital sustainability, circular economy, AI applications, and data ecosystems. He also held an Assistant Professorship at the Technical University of Braunschweig (2023–2025) and was a PostDoc at the University of Hildesheim (2020–2023). Research Interests: Digital transformation, sustainable business models, design science, and AI ethics. Awards: Multiple Best Associate Editor Awards (ECIS 2023/2024), Best Reviewer Award (PACIS 2022), and Best Paper in ICIS Track (2021). Activities: Organized conferences like INFORMATIK 2025 and Hawaii International Conference on System Sciences 2026; editorial roles in journals like European Journal of Information Systems . His work spans theoretical advancements in design science and practical implementations of sustainable technologies, with a focus on unlearning systems, data spaces, and AI-driven sustainability solutions.
Qing (Cindy) Chang is a Professor in the Department of Mechanical Engineering at the University of Virginia. Her research focuses on cyber-physical systems for smart manufacturing, real-time production control, and human-robot collaboration. Prior to academia, she worked at General Motors, earning three Boss Kettering Awards for innovation. She holds an M.S. from the University of Wisconsin-Madison and a Ph.D. in Manufacturing from the University of Michigan. Education: M.S. in Mechanical Engineering, University of Wisconsin - Madison Ph.D. in Manufacturing, University of Michigan – Ann Arbor Research Interests: Cyber-Physical Systems for Smart Manufacturing Real-time Production Control Knowledge-guided Machine Learning-based Control Human-Robot Collaboration in Industrial Settings Intelligent Maintenance and Energy Management Awards: 20 most influential professors in smart manufacturing (2020) NSF CAREER Award (2014) General Motors Boss Kettering Awards (2005, 2006, 2008) GM R&D Charles L. McCuen Special Achievement Awards (2005, 2006, 2008) Leadership & Grants: She serves on the board of NAMRI/SME and holds editorial roles in ASME, IEEE, and SME journals. Her work bridges AI, robotics, and manufacturing systems, with notable grants including the NSF CAREER Award. Labs & Teams: Her Intelligent Systems Lab develops AI-driven solutions for manufacturing efficiency and sustainability, focusing on energy management, predictive analytics, and human-robot collaboration.
Prof. Robert Fuchs holds the Frommann Professorship of Applied English Linguistics at the University of Bonn, leading the Chair of Bonn Applied English Linguistics (BAEL) within the Department of English, American and Celtic Studies. His research focuses on World Englishes, corpus linguistics, sociolinguistics, and the impact of artificial intelligence on linguistic analysis. He actively supervises PhD students in topics aligned with his research group's interests, emphasizing empirical work and data science. Recent research explores language change in varieties like Hong Kong English, Trinidadian prosody, and intensifier usage across cultures. Fuchs frequently presents at international conferences, including ISLE, ICAME, and Sociolinguistics Symposium, and publishes extensively in journals like World Englishes and Language and Speech . His teaching includes advanced courses on corpus linguistics and language in culture, with a focus on climate change discourse analysis. He maintains an active academic presence through ResearchGate, Academia.edu, and LinkedIn. Research Interests: Fuchs investigates sociolinguistic variation, AI applications in linguistics, and the structural features of postcolonial Englishes. His work addresses topics such as vowel mergers in Hong Kong English, lexical stress perception in Indian English, and the role of gender in language use. He also explores diachronic changes in aspects like stative progressives and the perfect-past alternation across Asian Englishes. Advising & Grants: Fuchs oversees PhD student recruitment through research associate positions and self-funded scholarships, prioritizing applicants with strong empirical and analytical skills. His funded projects include studies on pandemic discourse (DisCOVIndUK) and linguistic trends in Caribbean English. His lab, BAEL, collaborates internationally, with ongoing work on Trinidadian prosody and Northeast Indian linguistic ecology. Labs/Teams: The Bonn Applied English Linguistics (BAEL) group, part of the University of Bonn's IAAK institute, focuses on cutting-edge research in global Englishes and computational linguistics, hosting international workshops and fostering interdisciplinary collaboration.
Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.
Dimitris Mitropoulos is an Assistant Professor at the National and Kapodistrian University of Athens (NKUA) in the Department of Business Administration, where he teaches courses on Distributed Ledger Technologies, Data Security and Privacy, Algorithms and Business Analytics, and Introduction to Programming. He also serves as Head of the Reliability Engineering Directorate at the National Infrastructures for Research and Technology (GRNET), Greece's national research and education network organization. Previously, he was a Postdoctoral Researcher in the Computer Science Department at Columbia University. Dr. Mitropoulos received his Ph.D. degree in Secure Software Development Technologies from the Athens University of Economics and Business (AUEB) in 2014. His doctoral research was supported by the Heracleitus II Scholarship, co-financed by the European Union and Greek national funds. He is a member of prestigious professional organizations including ACM, IEEE, and USENIX. Dr. Mitropoulos conducts pioneering research at the intersection of software engineering and cybersecurity, with particular expertise in secure software development, vulnerability analysis, and blockchain security. His work spans multiple dimensions of software security including code injection attacks, infrastructure as code security, smart contract analysis, and dependency management in software ecosystems. His research methodology combines static and dynamic analysis techniques with empirical studies of real-world software systems, particularly focusing on Java, Python, and Solidity ecosystems. His recent work has made significant contributions to understanding security vulnerabilities in modern software development practices and infrastructure management. Dr. Mitropoulos has received numerous prestigious awards for his research contributions, including the Research Excellence Award from NKUA (2025), Distinguished Paper and Artifact Awards at PLDI '22, Best Data Showcase Award at MSR 2018, and multiple postdoctoral research funding scholarships. His work on "Finding typing compiler bugs" was recognized with both Distinguished Paper and Artifact Awards at PLDI '22, highlighting the significance and reproducibility of his research. He has also received recognition for his service to the academic community, including a Certificate of Appreciation from ESEC/FSE '21 for his contributions to conference organization. Dr. Mitropoulos has been actively involved in securing research funding and leading significant research projects. He currently serves as Principal Investigator for the SecOPERA project (2023-Today), funded by the European Commission under Horizon Europe. Previously, he contributed to several major EU and US-funded projects including eSSIF-Lab (2019-2022), FASTEN (2019-2022), PRIViLEDGE (2018-2021), CERTCOOP (2017-2020), PANORAMIX (2016-2019), and TREDISEC (2016-2018). His research has been supported by diverse funding sources including the European Commission's Horizon 2020 program, the National Science Foundation, and the Defense Advanced Research Projects Agency (DARPA). Dr. Mitropoulos plays an active role in the international research community through various leadership positions. He serves on program committees for top-tier conferences including OOPSLA (2026), ICSE (2026), ESEC/FSE (2025), and ISSTA (2025). He has previously served as Workshop Co-Chair for ISSTA 2025 and Student Volunteer Chair for ESEC/FSE 2021. His contributions to mentoring the next generation of researchers include serving as a mentor for the ICSE Student Mentoring Workshop (2022) and supervising Google Summer of Code projects (2017).
Emma Martin is Senior Lecturer in Museology at the University of Manchester's School of Arts, Languages and Cultures, where she serves as Associate Director for Research (Impact and Knowledge Exchange). With over 25 years of professional experience including 17 years as Senior Curator for National Museums Liverpool (2003-2020), her work bridges academic research and museum practice. Her current research focuses on colonial-era Tibetan collections, contemporary museum activism, and dissident curatorial practices in exile contexts. Dr. Martin's research interests sit at the critical intersection of colonialism, Tibetan Studies, and material culture studies. She examines how colonial-era museum collections continue to shape contemporary representations of Tibet while exploring pathways for Tibetan agency in museum decision-making. Her practice-led research includes serving as curatorial advisor to the Dalai Lama Centre for Tibetan and Ancient Indian Wisdom (2024-25) and leading the development of the Tibet Museum for the Central Tibetan Administration (2017-2023). She co-convenes the international Tibetan Materiality Network, fostering cross-border collaboration on Himalayan material culture research. Her publication trends reveal a sustained focus on decolonizing museum practices through historical analysis of Tibetan material culture. Early work examined colonial collecting networks and diplomatic gift exchanges, while recent publications address contemporary issues like digital sovereignty, museum representation of diaspora communities, and dissident curatorial methodologies. Her scholarship consistently connects archival research with practical museum interventions, demonstrating how historical understanding can inform ethical contemporary practice. Fellow, Royal Asiatic Society Fellow, Higher Education Academy Dr. Martin has supervised four completed PhDs and currently mentors five doctoral students working on topics spanning South Asian, Himalayan, and Tibetan museology. Her research project "Object Lessons from Tibet and the Himalayas" involves international collaboration with institutions in Copenhagen and explores how material culture can challenge colonial narratives. Her impact work includes developing new museological approaches for representing Tibet, referenced in Wikipedia and cited by policy makers addressing cultural restitution. She leads the Tibetan Materiality Network connecting European and Asian researchers, and her current monograph "The Dissident Museum: Oppositional Curating at the Tibet Museum" (Routledge) documents innovative curatorial practices developed during the Tibet Museum project. Her external roles include curatorial advisory positions with Tibetan cultural institutions and examination duties at UCL and University of Westminster.
Amir Shaikhha is an Associate Professor (Reader) in the School of Informatics at the University of Edinburgh. He was previously an Assistant Professor (Lecturer) at the same institution from 2020 to 2024 and a Departmental Lecturer at the University of Oxford until August 2020. He is also a Junior Research Fellow at University College, Oxford. His academic journey began with a Ph.D. from EPFL in 2018, where he was awarded the Google Ph.D. Fellowship in structured data analysis and a Ph.D. thesis distinction. His research centers on the design and implementation of data-analytics systems, drawing upon techniques from databases, programming languages, compilers, and machine learning. He develops high-performance systems such as SDQL.py, StructTensor, and VecHT, focusing on the compilation of data science workloads and optimization of tensor operations. His work bridges the gap between high-level abstractions and efficient execution, particularly in sparse and probabilistic computing domains. The recent publications highlight a strong trend in compiler-driven optimizations for data-intensive applications, including automatic differentiation, loop fusion, probabilistic programming, and domain-specific language (DSL) restaging. His research integrates machine learning for systems decisions and emphasizes reproducibility and performance. He has published consistently in top venues like PLDI, OOPSLA, SIGMOD, and CGO, reflecting sustained impact in programming languages and database systems. Dahl-Nygaard Junior Prize, 2025 Google Research Scholar Award, 2025 Most Influential Paper Award, GPCE 2024 Best Paper Award, GPCE 2017 Most Reproducible Paper Award, SIGMOD 2017 Google Ph.D. Fellowship, 2017 Amir Shaikhha has advised PhD students including Hesam Shahrokhi and has been nominated for Best Supervisor of the Year at the University of Edinburgh. He leads research projects that have received recognition and support through awards and grants, including the Google Research Scholar Award. He actively serves the community through program committees (e.g., GPCE, DBPL, DRAGSTERS), editorial roles, and peer review for premier journals. His leadership in organizing workshops and conferences underscores his role as a central figure in the programming languages and databases research communities. He leads a research group focused on compiler and database systems, with recent open-source releases such as StructTensor and VecHT. His team collaborates with researchers from institutions like MIT, EPFL, and TU Berlin, and he co-chairs workshops like Sparse@PLDI and DRAGSTERS. His lab emphasizes innovation in how data-intensive programs are compiled and executed efficiently across modern hardware.
Jaime Rodriguez Matos is an Assistant Professor in the Department of Modern and Classical Languages and Literatures at California State University, Fresno, where he has been employed since 2018. His academic career includes prior roles as Lecturer at Fresno State (2016-2018) and Assistant Professor at the University of Michigan (2007-2016). Education: Ph.D., Spanish and Portuguese, Columbia University M.Phil., Spanish and Portuguese, Columbia University M.A., Spanish and Portuguese, Columbia University B.A., Spanish Language and Literature, University of New Hampshire Rodriguez Matos specializes in Latin American poetry, nihilism, infrapolitics, and temporal theory. His work interrogates the intersections of philosophy and literary form, particularly focusing on the deconstruction of time in works by José Lezama Lima, Eduardo Lalo, and Álvaro García Linera. Current research explores neo-revolutionary rhetoric and anarchic political thought in Latin America. His published and forthcoming articles address themes such as Lacanian critiques of hegemony, the ontologies of the present, and the formless in Caribbean politics. Rodriguez Matos has presented at international conferences including the Latin American Studies Association and the University of California, Irvine Humanities Commons cluster. Selected Publications: Writing of the Formless: José Lezama Lima and the End of Time (Fordham University Press, 2017)
