Dr. Juan A. Recio García is an Associate Professor at the Department of Software Engineering and Artificial Intelligence within the School of Computer Science at Complutense University of Madrid (UCM) . He holds the BOSCH-UCM Honorary Chair on Artificial Intelligence applied to Internet of Things . His research focuses on Case-Based Reasoning (CBR) , Explainable AI (XAI) , and Recommender Systems , with applications in healthcare, security, and urban planning. He has led two projects as Principal Investigator and participated in six R&D initiatives, including four national and two European grants. His work includes the development of the COLIBRI platform , a CBR system with over 35,000 downloads. He has co-authored 67 publications, including 16 JCR-indexed articles, and received a best paper award and an honourable mention from the International Conference on CBR (ICCBR). Scientific Awards: Best Paper Award ICCBR Honorable Mention His projects include AUDITIA-X (Auditing AI via Explainability), iSee (Personalized Explanation Experiences), and PERXAI (Personalized XAI). He collaborates internationally, including at Robert Gordon University (UK) and University College Cork (Ireland).
Kees van Montfort serves as Associate Professor in Data Science and Senior Lecturer in Corporate Governance & Leadership, with research centered on artificial intelligence applications in business contexts, particularly within small and medium enterprises (SMEs) and the financial sector in the Netherlands. His research spans Artificial Intelligence (specializing in Explainable AI), Data Science, Business Intelligence, Corporate Governance, and Sustainability. He investigates ethical AI dilemmas, develops data analysis protocols for SME accountants, and examines sustainable business practices like food waste reduction in restaurants, bridging technical AI capabilities with real-world business challenges. Recent publications (2023-2024) reveal a strong focus on XAI implementation gaps in finance, ethical AI frameworks, and sustainability applications. His work consistently addresses practical AI integration challenges across SMEs, accounting, and restaurant industries while emphasizing Dutch contextual relevance. No scientific awards were documented in the provided materials. Professional activities include organizing the 2015 Business Intelligence Tools workshop and providing expert commentary on AI's impact in accountancy through 2023 media contributions, though no formal student advising or research grants were specified. No dedicated laboratories or research teams were referenced in the source materials.
Federico Germani, a postdoctoral researcher at the Institute of Biomedical Ethics and History of Medicine (IBME) within the Faculty of Medicine at the University of Zurich, holds a PhD in Molecular Life Sciences and additional qualifications in International Relations. He founded Culturico, a non-profit cultural platform combating misinformation, and serves as a rapporteur for the World Health Organization (WHO) on infodemic ethics. His work bridges biomedical research, digital society, and public health ethics. Bachelor's in Biology, University of Milan (2013) Master's in Cellular and Molecular Biology, University of Milan (2015) PhD in Molecular Life Sciences, University of Zurich (2019) Graduate Diploma in International Relations, University of London (2018) Federico's research focuses on digital misinformation, pandemic preparedness, and ethical frameworks for AI in health communication. His expertise spans infodemic management, information literacy, and the intersection of technology and ethics. His recent work explores AI-driven disinformation mechanisms, systematic evaluation biases in language models, and critical thinking interventions. His 15 most recent publications (2025-2024) address AI ethics, pandemic communication, and misinformation analysis. Articles include topics such as algorithmic accountability, emotional bias in AI, and preference epidemiology for patient-centered healthcare.
Sylvain Argentieri serves as an Associate Professor at the Institute for Intelligent Systems and Robotics (ISIR) within Sorbonne University, where he has been a member of the ASIMOV research group ("Architectures and Models for Adaptation and Cognition") since 2008. His office is located at ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris. He maintains an active research presence with publications spanning from 2006 to 2024. His educational background includes obtaining the highest teaching diploma in France (Agrégation externe) in Electrical Engineering from the École Normale Supérieure in 2002, followed by a Ph.D. in Computer Science from Paul Sabatier University (Toulouse) in 2006, and his Habilitation à Diriger des Recherches (HDR) in 2018. Argentieri's research focuses on artificial perception in robotics with special emphasis on auditory perception, active multimodal perception approaches, and sensorimotor integration. His work demonstrates a consistent trajectory exploring how robots can develop perceptual capabilities through sensorimotor experiences, with particular attention to binaural sound localization, head movement control, and the emergence of spatial representations from uninterpreted sensory signals. His publications reveal a strong interest in how naive agents can structure their understanding of the world through active exploration and sensory prediction. His publication record shows a clear progression from foundational work on sound source localization to more complex investigations of sensorimotor contingencies and embodied cognition. The research spans multiple venues including IEEE conferences, Robotics and Autonomous Systems, and Frontiers journals, with recent work incorporating transformer architectures and neural network approaches to auditory processing. Argentieri maintains active collaborations with researchers including Nicolas Obin, Bruno Gas, and Valentin Marcel, as evidenced by his co-authored publications. His laboratory work takes place within the ASIMOV team at ISIR, which focuses on architectures and models for adaptation and cognition in robotic systems.
Andrew Iliadis is an Associate Professor at Temple University's Lew Klein College of Media and Communication , specializing in the Media Studies and Production department. He contributes to the Media and Communication Doctoral Program, Cultural Analytics Graduate Certificate Program, and Science, Technology, and Society Network. Specializations : Semantic computing (metadata, knowledge graphs), embodied computing (wearables, implantables), and data ethics. Publications : Author of Semantic Media: Mapping Meaning on the Internet (Polity, 2022) and Embodied Computing: Wearables, Implantables, Embeddables, Ingestibles (MIT Press, 2020). His upcoming book Autonomous defense: How tech companies are crafting and cashing in on the future of warfare (2025) explores militarized AI. Research Trends : Analyzes sociotechnical implications of digital systems, including surveillance platforms (Palantir), semantic web standards (Schema.org), and critical data studies frameworks. Education : PhD in Communication and Philosophy from Purdue University, MA in Communication and Culture from Toronto Metropolitan University, BA in Literature and Cultural Studies from Trent University. Teaching : Courses on media analysis, technology and culture, and information society at both undergraduate and graduate levels.
Jacob Thebault-Spieker is an Assistant Professor in the Information School at the University of Wisconsin-Madison, affiliated with the Department of Computer Science. He holds a PhD in Computer Science from the University of Minnesota (2017) and dual BA degrees in Computer Science and Spanish from the University of Minnesota-Morris (2011). His research focuses on systemic information gaps in user-generated platforms and gig work systems, addressing geographic, political, and demographic biases through computational interventions and participatory design. Affiliations: Collaborative Computing Group (Co-Director since 2021) Key roles: NSF-funded grants on road safety conditions and broadband impacts; PI on projects exploring diversity science and ratings bias Research interests span HCI, crowd work, spatial computing, and digital equity. Notable work includes analyzing geographic disparities in OpenStreetMap, Uber/TaskRabbit, and Wikipedia's multilingual conflict documentation. Recent projects investigate mitigating political bias in content moderation and understanding migration's spatial impact through mental maps. Jacob has mentored over a dozen students in research, emphasizing scalable solutions for information equity. Publications highlight innovative methods like PairWise (content moderation bias mitigation) and GroundTruth (image geolocation systems). Awards include Best Demo at HCOMP 2019 and CHI review excellence recognition. He teaches courses in HCI and the Information Society, integrating pedagogical innovation with research.
Ben Glocker is a Professor in Machine Learning for Imaging at Imperial College London's Department of Computing within the Faculty of Engineering. He holds the Kheiron Medical / RAEng Research Chair in Safe Deployment of Medical Imaging AI. His research focuses on advancing AI-driven medical imaging technologies to improve disease detection and diagnosis, emphasizing ethical and reliable deployment. Glocker co-leads the Biomedical Image Analysis Group and leads the HeartFlow-Imperial Research Team, while serving as Knowledge Transfer Lead for the EPSRC Causality in Healthcare AI Hub. His academic positions include Reader (2019–2022), Senior Lecturer (2017–2019), and Lecturer (2013–2017) at Imperial College London, preceded by postdoctoral research at Microsoft Research (2010–2013). His research spans clinical sciences, artificial intelligence, oncology, and healthcare policy. Research Interests : - Safe and ethical AI in medical imaging - Representation learning and causal inference - Bias mitigation and fairness in healthcare algorithms - Semantic imaging for disease detection (e.g., breast cancer, cardiovascular disease) - AI policy and regulation in healthcare Grants & Projects : Funding for MALIBO, MALIMAR, and Next Generation Machine Intelligence in Medical Imaging EPSRC CHAI Hub: Causality in Healthcare AI QuantifyTBI: Traumatic Brain Injury lesion quantification Collaborations with HeartFlow and Kheiron Medical Labs/Teams : Biomedical Image Analysis Group HeartFlow-Imperial Research Team CHAI Hub leadership
Scott A. Craver is an Associate Professor and Undergraduate Director in the Electrical and Computer Engineering Department at Binghamton University. His research focuses on information security, cryptology, steganography, watermarking, and security engineering. He holds a BS and MS from Northern Illinois University and a PhD from Princeton University. Craver is known for his work on ambiguity attacks in watermarking systems and contributed to the SDMI Challenge, leading to legal disputes with the RIAA. He also patented multilinearization data structures for image browsing with Intel Corporation. Education: PhD in Electrical Engineering, Princeton University BS and MS in Electrical Engineering, Northern Illinois University Research highlights include cryptographic protocols, steganographic channel design, and security analysis of public-key systems. His Erdős number is 3, connected through co-authorships in mathematical publications. Awards include the Chancellor's Award for Excellence in Faculty Service (2013-2014). Key contributions include patents on data structures for efficient image storage, and pioneering work in steganography, including the supraliminal channel concept for secure communication. His teaching focuses on cryptography and information security (e.g., EE 405 course), emphasizing hands-on assignments and programming projects.
Alipio Ferreira is an Assistant Professor in the Department of Economics at Southern Methodist University (SMU). He holds a Ph.D. in Economics from Toulouse School of Economics, a Master's from Tilburg University, and a Bachelor’s from São Paulo School of Economics. His research focuses on law enforcement in public finance and environmental regulation in developing countries, particularly policies to enhance environmental enforcement efficiency and reduce deforestation. Ferreira has worked as a postdoctoral researcher at the Abdul Latif Jameel Poverty Action Lab and as an environmental consultant in Brazil's São Paulo state government. His research interests include environmental economics, public economics, and applied econometrics. Notable projects involve analyzing tax audit algorithms in Senegal, historical indigenous land management impacts on deforestation, and satellite-based monitoring systems for environmental enforcement. Ferreira has contributed to policy reports on green infrastructure, energy poverty metrics, and flood management for institutions like the European Commission and World Bank. His work bridges theoretical economic models with practical policy solutions, emphasizing the intersection of technology (e.g., satellites, VR) and environmental governance. Ferreira’s op-eds and media engagements address topics like pandemic economic impacts and fiscal policies in emerging economies.
Steffen Krüger is a Lecturer in the Department of Media and Communication at the University of Oslo, affiliated with the Faculty of Humanities. He co-leads the prioritized Screen Cultures research project and Master's programme (2019–2023), exploring the sociocultural, political, and technological dimensions of screen-mediated life. His research integrates psychosocial and psychoanalytic theory with media studies, focusing on digitalization, affective labor, and media-driven subjectification processes. Key methodologies include 'scenic understanding' derived from Alfred Lorenzer, analyzing media's role in socialization and cultural formation. He teaches courses such as 'Internet, Self & Society' and 'Methods in Media Studies,' emphasizing critical engagement with digital media's psychological and societal impacts. Krüger's funded projects include the Norwegian Research Council-supported 'Online Interaction Forms,' examining affective dimensions of online environments. His work addresses topics like AI ethics, digital self-tracking, and the socio-political implications of platforms like Tinder. Notable publications include analyses of media-saturated societies, right-wing populism, and neocolonial aspects in media content such as Grand Theft Auto V. His research groups and projects include the 'Humanistic Hub for the Study of AI Concepts (HumAIn)' and EU Kids Online V. Collaborative efforts with students and researchers highlight interdisciplinary approaches to media aesthetics and digital culture. Krüger’s scholarship bridges critical theory, psychoanalysis, and media studies, offering innovative frameworks for understanding modern media ecologies and their psychosocial consequences.
Emma Lindkvist is an Assistant Professor at Linköping University's Department of Management and Engineering (IEI), affiliated with the Energy Systems (ENSYS) research group. Her work focuses on optimizing biogas production systems, sustainable energy transitions, and environmental impact analysis. Key affiliations include the Biogas Research Center (BRC), where she collaborates on innovative projects such as sustainable biogas systems and waste valorization. Her research interests span biogas technology, renewable energy policy, and systems engineering. Notable projects include analyzing agricultural integration in energy systems, evaluating pandemic impacts on biogas sectors, and assessing electric mobility in developing regions like Kenya. Lindkvist emphasizes holistic approaches to sustainability, combining technical innovation with socio-economic considerations. In recent years, her publications highlight optimization of organic waste treatment, lifecycle analysis of biogas production, and comparative studies of energy delivery systems (e.g., drones vs. trucks). She frequently addresses interdisciplinary challenges, such as nutrient recovery in biogas processes and psychological drivers of pro-environmental behavior. While no formal student advisees are listed, Lindkvist contributes to educational initiatives through courses and the Climate Negotiation Game, which engages students in climate policy simulations. Her collaborations extend to industry partners and international research networks, reflecting a commitment to real-world impact through systems-level solutions.
Cristina Lopes is a Professor of Informatics at the Donald Bren School of Information and Computer Sciences , University of California, Irvine. She holds administrative roles including Director of the Master of Software Engineering Program and former Director of the Institute for Software Research . Her research focuses on software engineering, programming languages, and distributed systems, with contributions to open-source projects like OpenSimulator and AspectJ. She has authored the influential book Exercises in Programming Style . Education: PhD from Northeastern University, MS/BS from Instituto Superior Técnico (Portugal). Awards include IEEE Fellow (2019), ECOOP Test of Time Award (2017), and ACM Distinguished Scientist (2011). She co-founded a virtual reality company for urban redevelopment and leads NSF-funded projects, including the prestigious CAREER Award. Research Interests: Large-scale software systems, aspect-oriented programming, code clone detection, and applying AI to programming challenges. Her work bridges theory and practice, with applications in urban simulation and healthcare systems. Awards and Grants: Over 15 awards including national and international distinctions. Grants focus on scalable software tools and environmental sustainability in computing. Labs/Teams: Leads the Software Engineering Research Group and collaborates with industry partners on open-source infrastructure and AI-driven development tools.
Kim Carlson is an Associate Professor of Environmental Studies at New York University. Her research focuses on the intersection of environmental science and policy, particularly in tropical regions. She investigates the impacts of agricultural sustainability certification (e.g., palm oil) on deforestation, community well-being, and labor practices in Indonesia. Her work integrates geospatial data analysis, field surveys, and interviews to understand complex land-use dynamics. She emphasizes interdisciplinary approaches, advocating for programs that bridge natural and social environmental sciences. Her current projects examine how certification systems like the Roundtable on Sustainable Palm Oil (RSPO) affect environmental and social outcomes in oil palm plantations. She collaborates with Indonesian researchers to assess policy effectiveness and smallholder inclusion. Carlson highlights the importance of mentorship for students, encouraging them to engage with professors for career guidance and networking. Her research spans topics such as carbon sequestration, zero-deforestation supply chains, and the environmental impacts of commodity crops. While no awards are listed, her contributions to environmental policy and tropical conservation are evident through her extensive publication record. She advises students on academic and professional pathways but no specific advisees are named in the provided text.
Pubali Datta is an Assistant Professor at the University of Massachusetts Amherst , affiliated with the Manning College of Information & Computer Sciences. She specializes in system security and privacy research, focusing on emerging technologies like serverless computing, IoT, and cloud architectures. Her work bridges technical security challenges with human factors through user studies. PhD in Computer Science (2023) from University of Illinois Urbana-Champaign ME in Computer Science (2013) from Jadavpur University BTech in Computer Science (2011) from West Bengal University of Technology Her research explores core system vulnerabilities obscured by modern abstractions, developing mechanisms for access control , information flow analysis , and auditing . She combines technical analysis with human-centric studies to address security misconfigurations in smart homes and cloud environments. Recent publications focus on serverless security , endpoint protection , and IoT threat modeling , appearing at top venues like IEEE S&P and USENIX Security. Her work has been recognized with a IEEE S&P Distinguished Paper Award (2023) . IEEE S&P Distinguished Paper Award (2023) She collaborates with the Secure & Transparent Systems Laboratory and works on practical solutions for real-world security challenges.
Julian Padget is a Reader (equivalent to Associate Professor) in the Department of Computer Science at the University of Bath, with extensive affiliations across multiple research centers including the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), Water Innovation and Research Centre (WIRC), UKRI CDT in Accountable, Responsible and Transparent AI, Centre for Therapeutic Innovation, and Institute for Digital Security and Behaviour (IDSB). His work bridges computer science with energy systems, healthcare, and digital governance through interdisciplinary collaborations. Padget's research centers on multiagent systems , agent architecture , norm representation and reasoning , and fusing symbolic and statistical AI , with significant contributions to distributed ledgers, policy modeling, and narrative models. His fingerprint analysis reveals dominant connections to multi-agent systems (100%), web services (72%), and normative frameworks (48%), reflecting his focus on creating ethically aligned autonomous systems for complex socio-technical environments. Recent work demonstrates increasing integration of AI with energy infrastructure and biomedical applications. Analysis of his 15 most recent publications shows a clear trajectory toward operationalizing AI ethics, particularly in bias management and trust frameworks, while maintaining strong foundations in multiagent coordination. His energy sector research increasingly focuses on digital spine architectures for data sharing, and biomedical collaborations explore molecular imaging techniques for cancer research. The consistent thread across domains is the development of governance frameworks for autonomous systems. Padget actively supervises doctoral students with 23 supervised works documented and serves as Principal Investigator on major grants including EPSRC-funded energy network projects (2025-2026) and Innovate UK collaborations with the BBFC. His policy impact is evidenced by parliamentary testimony in March 2025 that generated coverage across 16 news outlets. Current projects emphasize AI for agile energy networks, value-aware agent architectures, and statutory compliance frameworks for online media. His laboratory ecosystem spans the IAAPS Innovation Bridge and Institute for Digital Security and Behaviour, focusing on translating theoretical agent frameworks into practical applications for energy systems, digital governance, and health interventions. The Water Innovation and Research Centre provides critical infrastructure for his energy-related simulations, while therapeutic innovation collaborations enable biomedical applications of his norm-representation frameworks.
