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).
Ulrich Kühne is a Lecturer at Télécom Paris , affiliated with the Secure and Safe Hardware (SSH) team and the Information Processing and Communication Laboratory (LTCI) . His research focuses on embedded systems security and formal methods for security guarantees. Research Interests: Embedded systems security, formal verification of protection schemes, and mitigation of hardware/software attacks. Publications: His work spans moving target defense for connected cars, side-channel attack mitigation in neural networks, and hardware-assisted security mechanisms. Labs & Teams: Active in LTCI and SSH, focusing on hardware-software co-design for security.
Floris Boogaard is a Lecturer at the Research Center for Built Environment – NoorderRuimte , specializing in Climate Adaptation . His work focuses on sustainable urban design, water quality, and nature-based solutions for climate resilience. Research Interests include: Climate adaptation strategies for urban areas Sustainable Drainage Systems (SuDS) Nature-based Solutions Water quality monitoring and modeling Permeable pavement systems Recent Research Trends reveal a strong emphasis on combating drought in cities, floating solar technology, and biodiversity impacts on climate adaptation. His publications span environmental science, urban planning, and hydrology. Scientific Awards : 3e Prijs RAAK-Award 2022 Projects include Last Thirsty Cities , GINA , Climate Adaptation Monitor , and SPARKLES , focusing on water-sensitive urban development and renewable energy integration.
Tina Sosa, M.D., M.Sc., is an Assistant Professor in the Department of Pediatrics at the University of Rochester Medical Center. As a pediatric hospitalist, she specializes in family-centered care for children with general pediatric conditions and leads quality improvement initiatives focused on safety, equity, and value in pediatric inpatient settings. MD, University of Rochester (2014) MS, University of Cincinnati Medical Center (2021) Residency in General Pediatrics, Cincinnati Children's Hospital Medical Center (2014-2017) Fellowship in Pediatric Hospital Medicine, Cincinnati Children's Hospital Medical Center (2018-2021) Her research focuses on system-level innovations to enhance pediatric inpatient care quality, particularly through situation awareness tools for clinical deterioration detection and high-risk therapy monitoring . She leads studies on medical device complications in medically complex children and contributes to multi-center safety collaboratives like the Children’s Hospitals’ Solutions for Patient Safety network. The 15 most recent publications demonstrate consistent engagement with pediatric safety and quality improvement through empirical studies, methodological frameworks, and clinical implementation projects. Key areas include sedation reduction for gastrojejunostomy exchanges, staff safety initiatives, clinical deterioration prediction, and healthcare delivery optimization. Scientific awards include: Academic Pediatric Association Young Investigator Award Dr. Sosa collaborates with multidisciplinary teams across research, clinical practice, and patient safety domains. Her work integrates improvement science with direct patient care, emphasizing equitable outcomes and system-wide healthcare standardization.
Asif M Huq serves as a Senior Lecturer in Information Science at Dalarna University's School of Information and Engineering, where he coordinates the Data Analysis and Visualization course (AMI23A). His academic profile bridges computational methods with sustainability accounting, leveraging institutional partnerships including Trafikverket's sustainable transport initiatives. Dr. Huq's research centers on computational sustainability analysis , specializing in NLP-driven CSR report assessment , materiality measurement frameworks , and governance impacts on corporate sustainability . His methodology integrates text mining and quantitative disclosure analysis to evaluate greenhouse gas reporting quality, with particular focus on Swedish private firms navigating global crises like the pandemic and Ukraine war. Analysis of his 2021-2025 publications reveals three convergent research streams: (1) technical innovations in measuring accountable information through NLP techniques; (2) empirical investigations of how sustainability performance interacts with financial resilience during geopolitical disruptions; and (3) practical applications in sustainable logistics via LivingLab frameworks. His work consistently utilizes Swedish firm datasets to address real-world sustainability reporting challenges. Through the FEDeRATED project, Dr. Huq contributes to the Data-sharing SME, Last-Mile Delivery LivingLab initiative under Trafikverket's sustainable transport program, developing collaborative data platforms for urban logistics optimization while maintaining strong ties to Sweden's national transport research infrastructure.
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.
Michael Mark Dowling is a Professor at DCU Business School, Dublin City University, Ireland. With an extensive research portfolio spanning finance, economics, and emerging technologies, he has published 58 documents with 2,347 citations and maintains an h-index of 20. His work bridges traditional financial systems with innovative blockchain applications, positioning him at the forefront of digital finance research. Dr. Dowling's research interests span several critical areas in contemporary finance and economics. His primary focus includes Decentralized Finance (DeFi) , Cryptocurrency markets , and Blockchain technology applications . He has made significant contributions to understanding NFT markets, Bitcoin volatility, and the intersection of financial systems with virtual worlds. His work on economic policy uncertainty and its impact on cryptocurrency markets has been particularly influential. Additionally, he explores Environmental Economics , examining the relationship between economic growth and carbon emissions in emerging economic blocs. His recent work on AI applications in finance, particularly with large language models like ChatGPT, demonstrates his ability to engage with cutting-edge technological developments. Analysis of Dr. Dowling's recent publications (2022-2024) reveals several key trends in his research. There's a clear progression from traditional financial analysis toward emerging digital asset markets, with a particular emphasis on non-fungible tokens (NFTs) and their market dynamics. His work demonstrates a sophisticated methodological approach, frequently employing advanced statistical techniques, machine learning, and big data analysis. The interdisciplinary nature of his research is evident in publications spanning finance, environmental economics, sports risk management, and virtual reality economics. His recent focus on AI applications in finance represents a timely exploration of how emerging technologies are transforming financial analysis and research methodologies. Dr. Dowling has made significant contributions to academic discourse through his extensive publication record. His research on the relationship between economic policy uncertainty and Bitcoin markets has provided valuable insights for investors and policymakers. The development of FinSentGPT represents an innovative approach to financial sentiment analysis across multiple languages. His work on NFT market dynamics has helped establish foundational understanding of these emerging digital markets. Through his bibliometric analyses, he has also contributed to mapping research landscapes in areas like advertising expenditure and stock performance, as well as Islamic economics and finance.
Jiaang Li is a PhD Fellow and Guest Researcher at the Department of Computer Science , University of Copenhagen. His research spans Natural Language Processing , Computer Vision , and Multimodal Learning , focusing on vision-language models, word order sensitivity, and cross-modal understanding. PhD Fellow , Department of Computer Science, Pioneer AI (P1AI) Guest Researcher , Department of Computer Science, Natural Language Processing Research interests include: Vision-Language Model Analysis Multimodal Dataset Development Language Model Interpretability Human-Centred AI Applications Model Robustness and Ethics Recent publications highlight trends in: Vision-Language Concept Alignment Task-Oriented Model Evaluation Visual Culture Understanding Bias and Cultural Theory in AI Retrieval-Augmented Generation
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.
Yan Zhao is an Associate Professor in the Department of Economics and Business at the City College of the City University of New York (CCNY). His research focuses on financial economics, corporate governance, market microstructure, and behavioral finance. He has published extensively on topics such as investor behavior, market efficiency, carbon emissions impact, and corporate finance strategies. His work often employs advanced analytical techniques like machine learning and event studies to examine real-world financial phenomena. Key research areas include post-earnings announcement drift, short selling dynamics, and the interplay between corporate governance practices and financial reporting accuracy. Dr. Zhao’s recent studies explore environmental finance (e.g., carbon emissions’ stock price effects) and China’s urban real estate markets. His articles frequently appear in top-tier finance journals, addressing both theoretical and applied questions in global financial markets.
Dr. Maria Prokofieva is a Senior Lecturer at the Victoria University Business School with cross-appointments in the Institute for Sustainable Industries & Liveable Cities. She holds a PhD in Business Information Systems from Russia and additional qualifications in Accounting (La Trobe University, Australia). Her expertise spans data analytics for business applications, social media analytics, and AI/machine learning in business contexts. Research focuses include: (1) leveraging machine learning for health promotion campaigns (e.g., Twitter sentiment analysis for heart health initiatives), (2) audit analytics (examining AI impacts on financial reporting quality in Saudi markets), (3) gaming disorder analysis through user-avatar bond studies, and (4) educational technology adoption in accounting training. Recent projects include a Victorian government-funded study on early childhood achievement gaps and CPA Australia research on data analytics in auditing. Active in professional networks: Women Who Code, R Ladies Melbourne, and WiDS Ambassador. Supervises 3 current PhD students as principal investigator and contributes to 5+ completed doctoral projects. Awards: No prizes explicitly listed in provided texts Labs/Teams: Core member of Victoria University's Institute for Sustainable Industries & Liveable Cities, collaborating on interdisciplinary sustainability 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
Kyle Peterson serves as the Director of the School of Accounting and holds the Charles E. Johnson Memorial Professorship at the Lundquist College of Business, University of Oregon. He specializes in financial analysts, corporate disclosure, and financial statement complexity. His research has been published in top journals such as The Accounting Review and Management Science . He holds a PhD from the University of Michigan and previously worked at Deloitte & Touche LLP. Education: PhD (2008, University of Michigan), MAcc (2001, Brigham Young University), BS in Accounting (2001, Brigham Young University) His research interests focus on improving the comparability and transparency of corporate financial disclosures, leveraging textual analysis and machine learning. Recent studies examine tax disclosure predictability, SPAC merger reporting quality, and analyst coverage strategies. His work bridges accounting practices with legal, regulatory, and strategic business challenges. Award highlights include the Robert and Lois Braddock Research Scholar (2020–present), multiple teaching awards (2014–2024), and the Thomas C. Stewart Distinguished Faculty Award (2019). His contributions span academic research, industry collaboration, and educational leadership in the School of Accounting.
Justin M. Pelletier is a Professor and Director of the GCI Cyber Range and Training Center at the Rochester Institute of Technology (RIT) within the Golisano College of Computing and Information Sciences . He teaches undergraduate and graduate courses in the Department of Cyber Security and leads security assessments for critical infrastructure and national defense partners. He founded the NSA-funded National Consortium for Cyber Governance, Risk, and Compliance. Education : BS in Computer Science (Stonehill College), MBA in Entrepreneurship (RIT), PhD in Information Assurance and Security (Capella University) Pelletier's research spans cybersecurity , penetration testing , security economics , and critical infrastructure protection . His work includes analyzing ransomware responses in nuclear power plants, blockchain attack taxonomies, and medical device vulnerabilities. His recent publications focus on cyber-physical systems , social engineering , voting infrastructure security , and business intelligence integration . He also explores e-learning user experiences and attacker behavior modeling. Professor Pelletier has authored over three dozen articles, book chapters, and patents. He is a Lieutenant Colonel in the U.S. Army Reserve, a combat veteran, and a lay member of the Dominican Order. He lives with his wife and five children.
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.
