Operationalizing AI Professors and Supervisors

Atoosa KasirzadehView profile

Assistant Professor

Carnegie Mellon UniversityQatar

Atoosa Kasirzadeh serves as Assistant Professor in Carnegie Mellon University's Department of Philosophy within the Dietrich College of Humanities and Social Sciences, holding a courtesy appointment as Adjunct Professor in the Software and Societal Systems Department (School of Computer Science). Her research critically examines the intersection of AI development and ethical governance, focusing on responsible AI systems that benefit society through rigorous technical-philosophical integration. Her educational background includes dual doctoral degrees: a Ph.D. in Philosophy of Science and Technology from the University of Toronto and a Ph.D. in Mathematics (Operations Research) from École Polytechnique de Montréal, complemented by B.Sc. and M.Sc. degrees in Systems Engineering. Dr. Kasirzadeh's work bridges computational AI development with ethical frameworks through two primary research streams: Risk Governance (applying aviation safety models to identify/measure AI risks from incremental to catastrophic) and AI Value Alignment (operationalizing human values in AI design). She translates philosophical concepts into actionable technical guidelines, addressing transparency demands between users and algorithms while examining relationships among immediate, long-term, and systemic risks in advanced AI systems. Her scientific recognition includes: 2024 Schmidt Sciences AI2050 Early Career Fellow Fellow at the Centre for the Governance of AI Chancellor’s Fellow at University of Edinburgh DCMS/UKRI Senior Policy Fellow Governance of AI Fellow at Oxford As Steering Committee Member for ACM FAccT conference and World Economic Forum Global Future Council member (2025-2027), she advises public/private institutions on AI governance. Her collaborative work spans CMU's Philosophy, Software and Societal Systems, and Language Technologies Institute departments, advancing Herbert Simon's legacy of interdisciplinary integration where ethics becomes foundational to AI innovation rather than an afterthought.

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Oriol HilariView profile

Researcher

Polytechnic University of CataloniaSpain

Oriol Hilari is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Departament d'Enginyeria de Serveis i Sistemes d'Informació. He is part of the GESSI - Group of Software and Service Engineering and the inSSIDE research groups. His work focuses on software engineering methodologies, requirements engineering, and AI-driven systems. He has been involved in over 78 academic activities including 40 conference presentations, 13 journal articles, and 13 competitive R+D+I projects. Education: Ph.D. in Computer Science (implied by research output) Research interests span software quality management, agile development, DevOps automation, and sentiment analysis applied to user feedback. He leads projects like QaSD: Quality-aware Strategic Dashboard and Human-centred collaborative framework for software development . Key contributions include work on requirements mining from app reviews, context-aware monitoring architectures, and integrating gamification in learning environments. His research emphasizes practical applications in industry collaborations and educational tools for software teams. Awards: Best Forum Paper Award at RCIS 2023 He has secured funding through programs like Horizon Europe and the Spanish National Research Plan, collaborating with institutions like the Catalan Government and EU frameworks. His work bridges academia and industry, addressing challenges in AI system governance and trustworthy autonomous systems.

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Mattias BrannstromView profile

Researcher

Umea UniversitySweden

Mattias Brannstrom is a Researcher and Doctoral Student at the Department of Computing Science , Umeå University , Sweden. He is currently on leave from his role as Research Engineer but remains actively engaged in academic research. His research focuses on Responsible Artificial Intelligence Deep Data Mining , particularly in the assessment and engineering of equitable, unbiased, and trustworthy AI systems. His work bridges technical and societal dimensions of AI development. Recent publications include contributions to fairness frameworks for socio-technical AI systems and operationalizing ethical AI practices. His research projects (2022–2024) emphasize bias mitigation and trust in AI applications. He collaborates with teams working on AI ethics and safety, aligning with his involvement in multidisciplinary research groups. Contact: mattias.brannstrom@umu.se .

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Olga LevinaView profile

Professor

Brandenburg University of TechnologyGermany

Prof. Dr. Olga Levina serves as Professor of Business Informatics at Brandenburg University of Technology (BTU), Department of Economics, where she bridges technical systems design with ethical governance in digital transformation. Her institutional leadership includes contributions to DIN working groups on Responsible AI and UNESCO's "Artificial Intelligence for more gender equality and against discrimination" guideline. Her educational background includes: Industrial Engineering with technical specialization in Information and Communication Systems (Technical University of Berlin and LUISS Rome) Doctorate in Network Analysis (TU Berlin) Levina's research critically examines ethical digitalization , business process management , and low-code development through participatory frameworks. She investigates how socially-aware information systems can mitigate digital inequality while advancing sustainability. Current projects analyze dark patterns in consent interfaces and AI's impact on journalistic values, emphasizing transparency and stakeholder inclusion as foundational principles. Her 15 most recent publications (2021-2025) reveal three dominant trajectories: (1) operationalizing ethics in software design through assessment tools and pipelines, (2) analyzing low-code platforms' organizational impact, and (3) exposing biases in algorithmic systems via empirical studies of dark patterns and recommender systems. This work consistently connects technical implementation with societal consequences. Levina actively supervises Master's theses through structured processes requiring English proficiency and research proposals. Her Ethical and Legal Aspects of Digitalization course generates publishable student research on topics like cookie consent dark patterns and AI sentiment analysis. She leads the InnoWest project on sustainable IT development while maintaining roles as journal/conference reviewer and DIN working group contributor. Her research group produces empirical studies through student projects examining digital ethics in real-world contexts, including cross-national analyses of cookie banners and values in messenger apps. Current work explores "naming as framing" in sustainability discourse and machine learning system auditing.

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Anneli BlomqvistView profile

Researcher

Stockholm UniversitySweden

Anneli Blomqvist is a Researcher and Test Developer at Stockholm University , affiliated with the Department of Teaching and Learning . She is a member of the PRIM research group, which focuses on the assessment of knowledge and competence in mathematics education. Blomqvist also contributes to the STLS-Stockholm Teaching and Learning Studies and the ASSESS graduate school on educational assessment. Research interests: Mathematics education, functional thinking, algebra performance, cognitive development, and educational assessment frameworks. Her recent work includes two 2024 conference papers analyzing the role of functional thinking in algebra learning and ontological definitions of the concept. Blomqvist is reachable at anneli.blomqvist@su.se . She works in Room E575 at Svante Arrheniusväg 20 A, Arrheniuslab.

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Christine ClavienView profile

Associate Professor

University of GenevaSwitzerland

Christine Clavien is an Associate Professor at the Institute of Ethics, History, and Humanities (iEH2) within the Faculty of Medicine at the University of Geneva. Previously, she served as a Senior Lecturer and Researcher at iEH2 since 2015, and was an Assistant Professor in the Department of Ecology and Evolution at the University of Lausanne. She maintains significant external roles as a member of the National Ethics Commission in human medicine (CNE), the University Commission for Ethical Research at the University of Geneva (CUREG), and the national working group "Advance planning concerning health". Dr. Clavien completed her thesis on evolutionary ethics through a joint program at the Universities of Neuchâtel (Switzerland) and Paris I, followed by a post-doctoral fellowship at Columbia University in New York. Her academic journey reflects a deep commitment to bridging philosophical inquiry with empirical research across multiple disciplines. Her research spans medical ethics (including allocation of responsibilities, patient-healthcare professional relationships, and end-of-life issues), descriptive ethics (examining moral skills development, moral motivation, and altruism), the ethics of behavioral nudges, and research integrity. Clavien employs interdisciplinary methods that integrate philosophical analysis with empirical data to develop practical solutions for promoting respectful behavior and appropriate communication in academic and professional contexts. Her work demonstrates consistent focus on translating theoretical ethical frameworks into concrete applications for healthcare and research settings. Clavien's research output shows clear trends toward practical applications of ethical theory, particularly in healthcare contexts. Her recent publications increasingly focus on developing and testing interventions—such as integrity games, nudges, and conversation tools—that operationalize ethical principles in real-world settings. The interdisciplinary nature of her work is evident in the diverse methodological approaches spanning philosophical analysis, qualitative research, and quantitative experimental designs. Prix pour le partenariat avec nos patients at Hackathon des HUG #4 (2019) Project selected in highlights by jury of national hackathon Versus Virus (2020) As an educator and mentor, Clavien manages multiple ethics courses including Bioethics, Introduction to Applied Ethics, and Science and Ethics. She serves on the steering committee for the doctoral program "Biomedical Sciences, Bioethics" and supervises doctoral theses in philosophy and biomedical sciences. Her research has attracted substantial funding, including a Horizon 2020 grant of 2.4 million euros over three years for the INTEGRITY project and funding from the Swiss National Science Foundation for her work on IoT in occupational health. These grants reflect the significance and practical relevance of her research agenda. Clavien leads the "Ethics and Science" research group and participates in the "Biomedical Ethics" research group. Her current research portfolio includes ANTICIped (developing conversation tools for advance care planning with children), ANTICIPATION (using card games for advance care planning), LET US AGREE (a mobile app for advance care planning), and investigations into the ethical implications of IoT in occupational health. These projects demonstrate her commitment to addressing pressing ethical challenges in healthcare through innovative, practical solutions.

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Armin HofmannView profile

Researcher

Julius-Maximilians-Universität WürzburgGermany

Armin Hofmann serves as a Researcher at the Institute of Geography and Geology, University of Würzburg, where he has worked since 2024 as a Scientific Employee in the Climatology group. He is actively engaged in the EFRE-funded project "BigData@Geo 2.0" (2023-2027), which develops AI-driven climate adaptation solutions for Northern Bavarian agriculture through spatially detailed resilience strategies. His academic foundation includes a Master of Science in Mathematics (2020-2024) and Bachelor of Science in Mathematics (2016-2020), both completed at the University of Würzburg. These quantitative skills directly support his current work in environmental data analysis. Hofmann's research centers on climatology and environmental systems, with specialized focus on climate change impacts and adaptation mechanisms. He applies data science and mathematical modeling to translate complex environmental data into actionable agricultural resilience measures, particularly addressing regional challenges in Northern Bavaria—a recognized climate change hotspot. His work in the BigData@Geo 2.0 project exemplifies the integration of artificial intelligence with practical climate adaptation needs for small and medium agricultural enterprises. As a core member of the Climatology research team led by Univ.-Prof. Dr. Heiko Paeth, Hofmann contributes to the institute's dual research foci on Climate and Environmental Systems. His current project develops web-based tools to convert environmental risk data into operationally specific adaptation protocols, directly supporting decision-making in land and forestry management under changing climate conditions.

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Anand Srinivasa RaoView profile

Professor

Carnegie Mellon UniversityQatar

Anand Srinivasa Rao is a Professor at the Heinz College of Information Systems and Public Policy , Carnegie Mellon University , where he teaches courses like Operationalizing AI and Responsible AI. Previously, he served as Global Artificial Intelligence Leader at PwC and Chief Research Scientist at the Australian Artificial Intelligence Institute. Education : PhD in Artificial Intelligence from University of Sydney (1988, with UPRA scholarship) MBA from Melbourne Business School (1997, with Award of Distinction) Rao’s research focuses on AI implementation , systems thinking , and behavioral economics , with expertise in agent-based models and digital twins. His work bridges business strategy and technical AI innovation across industries like healthcare and finance. Scientific Recognition : Most Influential Paper Award (2007) Distinguished Alumnus Award (BITS Pilani) Top AI Leader of 2024 (Rethink Retail) Rao serves as Advisory Chair for the Center for Data Science and Social Good (ISDM) and holds advisory roles at Roots Automation, Oxford University’s Institute for Ethics in AI, and global AI councils. He co-edited four foundational books on Intelligent Agents.

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Neil R ChatterjeeView profile

Assistant Professor

Northwestern UniversityUnited States

Neil R Chatterjee serves as an Assistant Professor in the Department of Radiology specializing in Body Imaging at Northwestern University's Feinberg School of Medicine, with clinical practice at Northwestern Memorial Hospital. He holds board certification in Diagnostic Radiology from the American Board of Radiology. His training includes: Residency in Diagnostic Radiology at the University of Pennsylvania (2023) Fellowship in Body Imaging at Northwestern University Feinberg School of Medicine (2024) Dr. Chatterjee's research focuses on AI integration in radiology, developing cloud-based systems for automated image analysis and reporting, and quantitative body composition studies using CT phenotyping. His work bridges clinical radiology with medical informatics to enhance diagnostic accuracy and workflow efficiency. His recent publications demonstrate a clear trajectory toward operationalizing AI in clinical radiology, with emphasis on standardized data elements, cloud infrastructure, and practical implementation frameworks that address real-world workflow challenges. Professional Engagements: Member, Society for Imaging Informatics in Medicine (SIIM) (2025–Present) Member, Society of Abdominal Radiology (SAR) (2025–Present) Member, Radiological Society of North America (RSNA) (2024–Present) Dr. Chatterjee reported no external professional relationships for calendar year 2024, adhering to Northwestern University's disclosure policies regarding industry collaborations.

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Gary WatmoughView profile

Senior Lecturer

University of EdinburghUnited Kingdom

Dr. Gary Watmough is a Senior Lecturer in the School of Geosciences at the University of Edinburgh, specializing in Global Agriculture and Food Systems. He serves as Programme Director for the Earth Observation and Geoinformation Management MSc and Co-Director of the Centre for Adapting to Environmental Change. His research bridges geospatial science and international development through active collaborations with UNICEF, WHO, and IIASA. His educational background includes a B.Sc. in Geography from Lancaster University, M.Sc. in Remote Sensing and Spatial Analysis from Southampton University, and Ph.D. from Southampton University focusing on spatial associations between socioeconomic variables and environmental metrics in Northeast India. He is a Fellow of the Higher Education Academy. B.Sc. Geography, Lancaster University M.Sc. Remote Sensing and Spatial Analysis, Southampton University Ph.D. Geospatial Analysis, Southampton University Watmough's research pioneers geographical targeting of resources using satellite imagery and machine learning, with focus areas including poverty mapping in data-scarce regions, Sustainable Development Goals monitoring, and climate risk indexing. His work develops proxy metrics for human livelihoods using very-high-resolution satellite data ( His recent publications demonstrate a clear trajectory toward operationalizing Earth Observation for development, with increasing emphasis on explainable AI frameworks, gender-disaggregated analysis, and real-time monitoring systems. Key themes include poverty mapping validation, livestock emissions modeling, and historical land use reconstruction using declassified imagery. DataIQ Data For Good Award for Data for Society (2022) Editorial Board, Nature Scientific Data (2025–present) UNICEF Climate and Environment Data Advisory Group membership With 6 active PhD students and 30 completed projects (including 3 currently active with £2.7M funding), his supervision emphasizes co-designed research with practitioners. Major grants include UNICEF's Children's Climate Risk Index, IIASA sustainability modeling projects, and UKRI-funded SENSE Centre for Doctoral Training. His lab maintains partnerships with institutions across 12 countries, focusing on capacity building in African universities. The Centre for Adapting to Environmental Change, which he co-directs, integrates satellite data streams with socioeconomic analysis to develop operational tools for humanitarian agencies. Current projects include real-time child wasting prediction, gender-barrier mapping for immunization, and spatiotemporal poverty monitoring across Africa.

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Judith FaßbenderView profile

Lecturer

Leibniz Institute for Media Research | Hans-Bredow-InstitutGermany

Judith Faßbender serves as an associated researcher at the Alexander von Humboldt Institute for Internet and Society (HIIG) in the AI & Society Lab and as a visiting lecturer at the Cologne International School of Design (KISD), focusing on the societal dimensions of artificial intelligence through the Ministry of Education and Research-funded Public Interest AI project. Her academic background includes: Bachelor of Design from Burg Giebichenstein Kunsthochschule Halle and Design Academy Eindhoven Master of Cultural and Communication Sciences (minor in Economics) from Zeppelin University Friedrichshafen PhD Candidate in Computer Science at the University of St Andrews researching Design Patterns for Participatory Data Governance Her research critically examines Public Interest AI through participatory frameworks, emphasizing: Design patterns for transparent and auditable AI systems Integration of civil society actors in AI ethics deliberations Motivations driving participation in data governance projects Societal implications of explainable AI development She bridges technical AI development with democratic processes, advocating for community-centered approaches to responsible innovation. Analysis of her 2021-2024 publications reveals consistent interdisciplinary focus on operationalizing public interest in AI. Key trajectories include mapping participatory motivations in data projects (2024), deconstructing AI hype in civic contexts (2023), and developing design patterns for accountable systems (2021). Her work synthesizes computer science, social theory, and design to create practical governance frameworks for sociotechnical AI deployment. Funded by the German Ministry of Education and Research, she contributes to the Public Interest AI project while collaborating with Fraunhofer and Zeppelin University on civic technology initiatives. She actively co-organizes workshops and events like Girls' Day and D³ Kongress to foster dialogue between technologists, policymakers, and civil society stakeholders. Embedded in HIIG's AI & Society Lab , she collaborates with the Civic Coding Initiative and participates in international forums including re:publica and EASST/4S conferences. Her work emphasizes community-driven approaches to ensure AI systems serve democratic values and public welfare through participatory design methodologies.

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