David P. Woodruff is a Professor in the Department of Computer Science at Carnegie Mellon University, part of the Theory Group within the School of Computer Science. He is actively involved in academic leadership roles, including chairing the CATCS (Conference on Theoretical Computer Science) and serving as PC chair for SODA 2024 and ICALP 2022. His research focuses on algorithms, data streams, machine learning, numerical linear algebra, sketching, and sparse recovery. He has been recognized with awards such as the Herbert Simon Award for teaching and the PODS Best Paper Award. Woodruff has advised numerous students and postdocs, including notable scholars like Ainesh Bakshi, Rajesh Jayaram, and Hongyang Zhang. His work often addresses foundational challenges in theoretical computer science, with contributions to distributed computing, streaming algorithms, and privacy-preserving techniques. He has published extensively in top conferences like NeurIPS, ICML, FOCS, and STOC, covering topics ranging from low-rank approximation to adversarial robustness in data streams. His teaching includes courses like Algorithms for Big Data and core algorithms courses, reflecting his commitment to both research and education. Collaborations span academia and industry, with applications in genomics and secure computation. Woodruff is a key contributor to the Foundations of Data Science program at the Simons Institute.
Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.
Amany Farag is a tenured Associate Professor at the University of Iowa College of Nursing and Co-Director of the VA Quality Scholars Program (Iowa City site). Her work bridges nursing science, human factors engineering, and data science to address critical patient safety challenges, with a specific focus on medication administration practices across healthcare settings. Education: Postdoctoral Scholar, Case Western Reserve University, Frances Payne Bolton School of Nursing PhD, Case Western Reserve University, Frances Payne Bolton School of Nursing MSN, University of Alexandria, Alexandria Egypt BSN, University of Alexandria, Alexandria Egypt Dr. Farag's research centers on reactive and proactive approaches to patient safety , with dual emphasis on medication error reporting systems and nurse fatigue prevention. Her work integrates human factors engineering and machine learning to develop novel interventions. Key themes include understanding how social and system factors influence nurses' error reporting behaviors, examining fatigue as a precursor to errors, and developing self-management strategies for nurse wellness. Recent projects explore intershift recovery, sleep hygiene using consumer technology, and the impact of shift work on cognitive performance. Publication trends reveal a strong focus on interdisciplinary safety science , with consistent output in nursing, human factors, and healthcare quality journals. Her work increasingly incorporates AI methodologies while maintaining clinical relevance to frontline nursing practice. Scientific Recognition: Mary Hanna Memorial Journalism Award (Journal of Peri-Anesthesia Nursing, 2016) Author of the Year (Journal of Emergency Medicine, 2018) Junior Investigator Award (Midwest Nursing Research Society, 2018) Rogers Endowed Lectureship Award (Mississippi Medical Center, 2018) Dr. Farag secures significant funding from national agencies including the National Council of State Boards of Nursing (NCSBN), NIOSH-funded Healthier Workforce Center of the Midwest, CDC-funded Injury Prevention Research Center, and University of Iowa Institute for Clinical and Translational Science. Her collaborative approach spans nursing, data science, ergonomics, and public health teams. As Co-Director of the VA Quality Scholars Program, she mentors future healthcare quality leaders while advancing her research on medication safety systems and nurse fatigue mitigation strategies through interdisciplinary partnerships.
Roland Larsson is a Professor and Head of Subject in Machine Elements at Luleå University of Technology, Sweden. His research focuses on Tribology, particularly lubrication regimes (boundary to elastohydrodynamic), contact mechanics, surface roughness effects, and applications in rolling element bearings, clutches, hydraulic systems, tires, and sports equipment. He has supervised over 20 doctoral and licentiate students, contributed to advanced courses, and developed teaching methods like Flipped Classroom and Constructive Alignment . Education: Ph.D. (1996, Luleå University of Technology), Docent (2001), M.Sc. in Mechanical Engineering (1988). Research: Central themes include elastohydrodynamic lubrication, surface roughness in contact interfaces, and sustainable lubricants. His work explores water-based lubricants, ionic liquids, and glycerol mixtures. Publications: Recent articles (2025) investigate water-based lubricants' film formation, ski-snow friction dynamics, and tribochemical properties of green lubricants. Earlier works (2024-2023) cover micropitting, wear models, and multi-scale contact analysis. Awards: Recipient of multiple tribology awards including ASME Best Paper, Nordea's Vetenskapliga Pris, and Venture Cup North. He has held leadership roles at Luleå University, including Dean and Vice-Dean of the Faculty of Engineering Board. Collaboration: Active in international research networks as peer-reviewer, faculty opponent, and external examiner. His post-doctoral work includes affiliations with Leeds University and SKF Engineering Research Centre.
Professor Alma Harris is an Emeritus Professor in the School of Social Sciences at Swansea University, affiliated with the Faculty of Humanities and Social Sciences. She has held professorial roles at leading institutions including the University of Warwick, University College London, and the University of Malaya. Her research focuses on educational leadership, policy, and systemic reforms, with a strong emphasis on equity and excellence in education. Professor Harris has advised governments, including the Welsh Government (2009–2012), on systemic reforms and co-led initiatives such as the Professional Learning Communities (PLC) program. She is a Senior Research Fellow at the Education University of Hong Kong and former President of the International Congress for School Effectiveness and School Improvement (ICSEI). Her work has been recognized with awards like the ICSEI Lifetime Achievement Award (2016). Her research interests span educational leadership frameworks, policy implementation, and strategies for school improvement. Key publications include works on distributed leadership, system-wide reform, and teacher empowerment. Her articles explore topics like professional learning communities, middle leadership roles, and global educational challenges. Professor Harris has secured grants totaling over £2 million, including projects on Welsh schools’ improvement, teacher training incentives, and international education leadership reviews. She advises bodies like the Scottish Government’s International Council of Education Advisers and has led major studies in Malaysia and Indonesia on high-performing schools. Her academic contributions include authored books like Flip The System UK: A Teachers’ Manifesto and edited volumes on global educational leadership. She maintains active roles in professional networks and policy advocacy, emphasizing equitable educational systems.
Lucila Ohno-Machado, MD, PhD, MBA, is the Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science at Yale University. She serves as Deputy Dean for Biomedical Informatics and Chair of the Department of Biomedical Informatics and Data Science at the Yale School of Medicine. Her leadership roles include overseeing informatics infrastructure for Yale’s academic health system and fostering interdisciplinary collaboration across departments such as Medicine and the Halicioğlu Data Science Institute (previously at UCSD). Ohno-Machado holds an MD from the University of São Paulo (Brazil), an MBA from Fundação Getúlio Vargas (Brazil), and a PhD in Medical Information Sciences and Computer Science from Stanford University. She has held faculty positions at Harvard Medical School, MIT’s Health Sciences and Technology Division, and the UCSD Health Department of Biomedical Informatics, where she pioneered federated learning and privacy-preserving AI methodologies. Her research focuses on predictive analytics, federated learning, quantum computing in healthcare, and blockchain applications to enhance data security. She emphasizes addressing algorithmic bias and promoting health equity through data-driven solutions. Recent work includes developing frameworks for medical device safety evaluation and guiding principles to mitigate disparities in algorithmic healthcare applications. Key achievements include the Inaugural Helen M. Ranney Award (2024), election to the National Academy of Medicine (2024), and the William W. Stead Award (2019). She has led NIH-funded informatics centers and contributed to the first large-scale clinical data-sharing initiative across five UC medical systems. Her grants span AHRQ, PCORI, NSF, and blockchain-related initiatives through the IT/NIST Challenge Award. Ohno-Machado advises on translational research strategies and mentors teams in YBIC (Yale Biomedical Informatics & Computing). Her lab collaborates globally, leveraging federated models and AI to advance personalized medicine while prioritizing patient privacy. She also chairs the OHER Awards for Yale Research Excellence, promoting interdisciplinary health equity research.
Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.
Jukka Veikko Mäkinen is a Professor of Business Ethics at the Department of Marketing and Communication at the Estonian Business School (EBS). He holds a PhD from the Helsinki School of Economics (2004) and a degree in Business Ethics from Aalto University (2014). His teaching focuses on business ethics, corporate social responsibility, sustainability, argumentation, and philosophy. Since 2019, he has been a visiting scholar at Harvard University. His research explores intersections of business ethics with political theory, globalization, and sustainability. Key areas include stakeholder engagement, corporate responsibility in democratic systems, and ethical frameworks for Big Tech regulation. His work has been published in journals like Business Ethics Quarterly and Journal of Global Ethics , and he has co-edited books on globalization and CSR. Mäkinen’s recent publications emphasize contextual approaches to business education, democratic accountability of corporations, and the ethical dimensions of disaster governance. His work often critiques the moral labor division between corporations and governments, particularly in global crises. He has advised on CSR strategies in multinational contexts and contributed to policy debates on financial ethics and regulatory frameworks for tech companies.
Payam Barnaghi is a Professor and Chair in Machine Intelligence Applied to Medicine at Imperial College London's Department of Brain Sciences, part of the Faculty of Medicine. He holds multiple leadership roles, including Co-Director of the School of Convergence Science in Human and Artificial Intelligence and Deputy Head of Neurology. His research focuses on AI-driven healthcare solutions, particularly in neurosciences and dementia care. He leads the Translational Machine Intelligence group at the UK Dementia Research Institute (UK DRI) and is a Visiting Professor at University College London's Institute of Child Health. His affiliations include the NVIDIA Deep Learning Institute, the British Heart Foundation Centre for Research Excellence, and the UK DRI Care and Research Technology Centre. He has received awards such as the Wellcome Trust Mental Health Ideathon Award (2023) and the IEEE Outstanding Leadership Award (2017). His work emphasizes remote patient monitoring, digital biomarkers, and explainable AI for early health event detection. Key projects include the TIHM (Technology Integrated Health Management) initiative for dementia care, leveraging wearable sensors and machine learning. He contributes to interdisciplinary efforts in smart care ethics and has published extensively on topics like neural network applications, healthcare data analysis, and clinical decision support systems.
Overview Lindsay Larson is an Assistant Professor of Organizational Behavior at Carnegie Mellon University's Heinz College. She focuses on how advanced technologies reshape teamwork dynamics, particularly in human-AI collaborations and geographically distributed science teams. Her work integrates organizational behavior, psychology, communication, and human-computer interaction. Education & Career PhD and MA in Media, Technology, and Society (Northwestern University) BS in Psychology (University of Florida) Postdoctoral Research Associate at UNC Chapel Hill's Kenan-Flagler Business School Prior faculty position at Florida International University's College of Business Research Focus Her research explores interpersonal dynamics in technologically-advanced teams, emphasizing leadership challenges and collaboration in digital environments. Key themes include: Ethical implications of AI in team decision-making Virtual team coordination across global time zones Psychological impacts of automation on workplace roles Awards & Recognition Psych of Tech Institute Dissertation Honorable Mention INGRoup J. Richard Hackman Award Finalist Professional Contributions Publications appear in top journals like Academy of Management Discoveries , Leadership Quarterly , and Small Group Research . Active in interdisciplinary academic communities bridging tech and organizational studies.
Keith Decker is an Associate Professor and JPMorgan Chase Fellow in the Department of Computer and Information Sciences at the University of Delaware's College of Engineering. He holds multiple affiliated faculty positions at the Artificial Intelligence Center of Excellence, Data Science Institute, Center for Bioinformatics and Computational Biology, and Institute for Financial Service Analytics. His research spans several key areas of computer science with a focus on Multi-Agent Systems , Distributed Artificial Intelligence , Computational Organization Design , and Bioinformatics . His work bridges theoretical foundations with practical applications in finance, healthcare, and information systems. Dr. Decker's publications reflect trends in distributed AI with emphasis on coordination technologies, agent communication, and information gathering systems. His work has evolved from foundational multi-agent coordination theory to applications in bioinformatics, financial services, and health informatics. DARPA special recognition award for foundational research in coordination technologies Dr. Decker has advised numerous graduate students and led significant research projects including automated genetic annotation, coalition management for electric vehicle-to-grid power systems, and machine learning for automated health coaching. His interdisciplinary work demonstrates strong connections between theoretical AI research and practical applications across multiple domains. He maintains active leadership roles in the academic community, having served as program co-chair for the International Conference on Autonomous Agents and Multi-Agent Systems and other major AI workshops.
Rachel J. Anderson is a Professor of Law at the William S. Boyd School of Law, University of Nevada, Las Vegas (UNLV), where she serves as Director of the International, Transnational & Comparative Law Program and Co-Director of the Business & Commercial Law Concentration. Her academic and professional work bridges legal scholarship, public service, and institutional leadership. University: University of Nevada, Las Vegas School: William S. Boyd School of Law Rank: Professor of Law Email: rachel.anderson@unlv.edu Phone: 702-895-5806 Education: J.D., University of California, Berkeley, School of Law M.A., Stanford University, International Policy Studies Zwischenprüfung, Humboldt-Universität zu Berlin Professor Anderson teaches Business Organizations, International Business Transactions, and International Law. Her research centers on good governance across public and private sectors, with emphasis on business law, international law, and poverty law and policy. She explores how legal frameworks can promote equity, human rights, and sustainable development, particularly in transnational contexts. Her recent scholarship spans topics such as global corporate citizenship, gender equality in the workplace, transnational corporate accountability, and colonial reparations. The publications reflect a consistent engagement with structural inequities and the role of law in addressing them. Her work appears in journals like Denver University Law Review , Michigan State Journal of International Law , and California Law Review , as well as in edited volumes and policy commentaries. Scientific Awards and Honors: UNLV 2024 Community Engagement Service-Learning Award Outstanding Non-Traditional Career Award, National Bar Association Women Lawyers Division, 2024 State Bar of Nevada, Medal of Justice, 2012 Lawyers of Color Magazine, Law School Diversity 50 Under 50 List, 2014 Multiple congressional and state-level recognitions for public service Professor Anderson has held significant public service roles, including General Counsel for the Office of the Nevada Attorney General (2019–2021) and Director of the Poverty Law & Policy Clinic (2023–2025). She is active in professional organizations such as the Association of American Law Schools (AALS), where she was elected Chair-Elect of the Section on Poverty Law in 2025, and serves on the Board of Directors for Nevada Legal Services. She also contributes to national conversations on democracy, voting rights, and diversity in the legal profession. Labs, Teams, and Professional Affiliations: Member, American Society of Comparative Law’s Board of Directors Member, Nevada Supreme Court’s Access to Justice Commission Board Member, Nevada Legal Services Leadership roles in AALS Sections on Poverty Law and Clinical Legal Education Contributor to National Bar Association initiatives on racial equity and mental health
Fabrizio Lombardi is the ITC Endowed Professor at Northeastern University's Department of Electrical and Computer Engineering, part of the College of Engineering. He previously held faculty positions at Texas Tech University, University of Colorado-Boulder, and Texas A&M University. He earned his B.Sc. from the University of Essex (1977), M.Sc. and Ph.D. from the University of London (1982). His research focuses on fault-tolerant computing, VLSI CAD, quantum computing, and configurable computing systems. He has led major projects like the NSF-funded Neural-Network-based Stochastic Computing Architectures for Machine Learning . He holds leadership roles including President of the IEEE Nanotechnology Council (2022-2023), IEEE Computer Society Vice President (2021), and IEEE PSPB member. His 200+ publications span IEEE Transactions on Computers, Nanotechnology, and Design & Test. Awards include IEEE Fellow, Søren Buus Outstanding Research Award, and multiple research fellowships. His work bridges theory and application, emphasizing defect-tolerant nanosystems and energy-efficient computing hardware. Recent innovations include approximate computing methodologies and secure PUF-based hardware designs.
Rana K. Gupta, PhD , is the W. David and Sarah W. Stedman Distinguished Professor of Medicine and Cell Biology at Duke University School of Medicine and serves as Section Chair of Basic Sciences within the Duke Molecular Physiology Institute . Previously, he spent ten years on the faculty at the University of Texas Southwestern Medical Center. His laboratory investigates the developmental biology and molecular regulation of adipose tissue, with the goal of translating insights into therapies for obesity and metabolic diseases. Education & Training: PhD, University of Pennsylvania (2006) Research Fellow, Dana-Farber Cancer Institute, Cell Biology (2006–2012) Research Interests: Dr. Gupta’s work centers on two inter-related themes: (1) the transcriptional networks that establish and maintain white, brown, and beige adipocyte lineages, with a spotlight on the zinc-finger factor ZFP423 ; and (2) the heterogeneity and functional specialization of adipocyte progenitor cells during healthy versus pathological adipose-tissue expansion. Using single-cell multi-omics, lineage tracing, and metabolic phenotyping in mice and humans, his team deciphers how distinct progenitor pools orchestrate adipogenesis, angiogenesis, and immune remodeling in obesity. Key Publications: Across 78 peer-reviewed papers (2010-2025), Dr. Gupta has defined ZFP423 as a molecular brake on adipocyte thermogenesis, uncovered PDGFRβ+ progenitor subpopulations that drive hyperplastic adipose growth, and demonstrated that inducible Zfp423 deletion can convert white adipocytes into energy-burning beige cells to reverse diet-induced obesity. Recent single-cell atlases further reveal sex- and depot-dependent progenitor heterogeneity, providing a roadmap for targeted metabolic therapies. Scientific Awards & Honors: W. David and Sarah W. Stedman Distinguished Professorship Funding & Training Leadership: Principal Investigator on 13 active NIH, ADA, and foundation grants (2021-2029) Director, Endocrinology and Metabolism Training Program (NIDDK T32) Co-Investigator, Medical Scientist Training Program (NIGMS T32) Mentor to 6 postdocs, 4 graduate students, and numerous undergraduates and research technicians Lab Teams & Collaborations: The Gupta Lab at Duke is a multi-disciplinary team of postdoctoral fellows (Pablo Morales, Wenxin Tong), graduate students (Ashley Truong), instructors (Jessica Cannavino), and research analysts (Krissy Campbell, Lavanya Vishvanath) collaborating closely with the Duke Molecular Physiology Institute to integrate genomics, physiology, and translational medicine.
Bo An is a President's Chair Professor and Head of the Division of Artificial Intelligence at the College of Computing and Data Science , Nanyang Technological University, Singapore . He also holds a courtesy appointment as Professor at the School of Physical & Mathematical Sciences and serves as Director of the Centre of AI-for-X. Previously, he was a Nanyang Assistant Professor (2014-2018), Associate Professor at the Chinese Academy of Sciences (2012-2013), and Postdoctoral Researcher at the University of Southern California (2010-2012). His academic journey began with B.Sc. and M.Sc. degrees from Chongqing University, followed by a Ph.D. in Computer Science from the University of Massachusetts, Amherst (advised by Victor Lesser). Research Interests : Artificial Intelligence Multiagent Systems Computational Game Theory Reinforcement Learning Automated Negotiation Optimization Research Impact : Applications in infrastructure security (deployed by US Coast Guard and Federal Air Marshals), e-commerce, sensor networks, and financial technology. Over 150 publications in top venues like AAMAS, IJCAI, AAAI, ICML, NeurIPS, KDD, and ACM/IEEE Transactions. Scientific Recognition : 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award 2012 INFORMS Wagner Prize 2018 & 2022 Nanyang Research Awards 2017 Microsoft Collaborative AI Challenge IEEE Intelligent Systems 'AI's 10 to Watch' (2018) Leadership Roles : Editor-in-Chief of IEEE Intelligent Systems, Associate Editor for AIJ, JAAMAS, and ACM Transactions. Served as General Co-Chair for AAMAS'23 and Program Chair for IJCAI'27.
