Robert Laubacher is a Research Fellow at the MIT Center for Collective Intelligence within the Sloan School of Management , focusing on how technological innovations like generative AI and large language models are reshaping organizational practices, work structures, and social patterns. Education: B.A. in American Studies, Northwestern University M.A., Doctoral Coursework in Modern History, Harvard University His research explores: Developing ontologies for work activities inspired by biological taxonomy Enhancing human creativity through AI collaboration frameworks Building collective intelligence systems for global challenges like climate change and sustainable development Identifying foundational elements of collective intelligence Historical analysis of IT's impact on employment relationships Recent publications focus on human-AI co-creation , crowdsourced problem-solving , and organizational adaptation to digital transformation. His work has been featured in Harvard Business Review , Sloan Management Review , and ACM conference proceedings.
Dr. Pei Huang is a Senior Lecturer in Energy Engineering at Dalarna University, Sweden, working within the Department of Information and Technology. His academic career focuses on multidisciplinary research at the intersection of energy systems, electromobility, and sustainable urban development, with significant contributions to both teaching and research in renewable energy and energy efficiency. Dr. Huang received his Ph.D. from the City University of Hong Kong in 2017. His educational background has provided a strong foundation for his current research in energy systems and sustainable technologies, bridging engineering principles with practical applications in the energy transition. Dr. Huang's research interests span several critical areas in modern energy systems. He specializes in peer-to-peer energy sharing, urban energy systems, and electromobility, with particular focus on electric vehicles as mobile power sources. His work also encompasses positive energy districts, district heating systems, building energy efficiency, and HVAC systems. A distinctive aspect of his research involves applying machine learning to address uncertainty in energy systems, creating more resilient and adaptive solutions for the energy transition. His multidisciplinary approach connects energy engineering with computer science, urban planning, and sustainability science. Analysis of Dr. Huang's recent publications reveals a strong emphasis on integrating electric vehicles into energy systems as flexible resources. His work demonstrates how vehicle-to-grid technology can enhance grid resilience and enable community energy sharing through innovative solutions like the Electric Vehicle based virtual Electricity Network (EVEN). There's also a notable focus on applying artificial intelligence to optimize energy systems, particularly in data-scarce scenarios where he combines clustering analysis and transfer learning. His research bridges the gap between theoretical models and practical implementation, with several studies based on real-world data from Sweden, demonstrating immediate relevance to current energy challenges. Dr. Huang has been highly successful in securing research funding, with approximately SEK 10 million secured for projects at Dalarna University. His current research portfolio includes: PI for a 2023-2026 Energy Agency project on enhancing grid resilience through electric vehicle-based virtual electricity networks (SEK 2.64 million) PI for a 2023-2026 FORMAS project on photovoltaic and electric vehicle utilization (3.75 million SEK, with a competitive success rate of 13.8%) Co-PI and national coordinator for a 2023-2026 CETPartnership project on thermal energy storage in district heating (2.32 million Euro) Co-PI for a 2024-2026 Swedish Energy Agency project on electric vehicles for frequency regulation (3.25 million SEK) Dr. Huang serves on the editorial board of the journal Buildings and has published extensively, with 49 journal articles, 1 book, 5 book chapters, and 19 conference papers to his name. His research has active participation in IEA tasks, demonstrating international recognition of his expertise. In addition to his primary energy research, Dr. Huang has made significant contributions to neuroscience, particularly in Parkinson's disease diagnostics and treatment, showing the breadth of his interdisciplinary approach.
Christoph Schweigert is full Professor (W3) of Mathematics at the University of Hamburg , based in the Department of Mathematics within the Faculty of Mathematics, Informatics and Natural Sciences (MIN-Fakultät). Since 2003 he has held this permanent chair, and he currently serves as a Principal Investigator and Area Coordinator for Quantum Theories in the Cluster of Excellence “Quantum Universe” . In addition he is a member of the Centre for Mathematical Physics , the DFG Collaborative Research Centre SFB 1624 and the Research Training Group 1670 “Mathematics inspired by string theory and quantum field theory” . Education & Career Path: 1987–1992: Degree in Physics, Universität Heidelberg 1995: PhD in Mathematics, University of Amsterdam (supervisor: Robbert Dijkgraaf) 1995–1996: Postdoc, IHÉS, Bures-sur-Yvette 1997–1998: Fellow, CERN, Geneva 1999–2002: Lecturer (tenured), LPTHE, Université Paris 6; Habilitation 2000 2002–2003: Professor (C3) for Physics, RWTH Aachen Since 2003: Professor (W3) for Mathematics, Universität Hamburg Research Interests: Schweigert’s work lies at the intersection of algebra, category theory, topology and mathematical physics . He focuses on tensor categories , Hopf algebras and quantum groups , topological and conformal field theories , string-net models , and modular functors . These structures find applications in quantum topology, knot theory, 3-manifold invariants, quantum codes and quantum information theory . Editorial & Service Roles: Editor, Communications in Mathematical Physics (since 2017) Editor, Letters in Mathematical Physics (since 2009) Editor, Journal of Mathematical Physics (since 2006) Editor, Springer book series Algebra and Applications (since 2005) Spokesperson/Deputy spokesperson, DFG-RTG 1670 Member, steering committee, DFG Priority Program “Representation theory” Henriette-Herz scout for the Humboldt Foundation (since 2020) Teaching & Supervision: Schweigert regularly teaches advanced courses in linear algebra, Hopf algebras, quantum groups and topological field theory at bachelor, master and graduate levels. He organises the research seminar Algebra and Mathematical Physics and the joint seminar Quantum Physics and Geometry . Office hours are by appointment via email. Laboratory & Research Group: He leads an active research group based in the Geomatikum building (Room 313), collaborating closely with PhD students, postdocs and visiting researchers on projects in tensor categories, TQFT and related areas.
Boaz Hameiri is an Associate Professor and the Head of the Program in Conflict Management and Mediation at Tel Aviv University. He serves as an associate editor at Political Psychology and a Human Development Lab researcher at the Boris Mints Institute. His research examines psychological barriers (e.g., victimhood) to conflict resolution and develops interventions like paradoxical thinking to promote intergroup peace. Educational Background: PhD in Social Psychology, Tel Aviv University (2019) Postdoctoral Fellow, Annenberg School for Communication, University of Pennsylvania (2018-2020) Postdoctoral Innovation Lab Fellow, Beyond Conflict (2018-2020) Research Focus: Hameiri employs mixed-methods (qualitative, quantitative, lab, and field studies) to analyze intergroup conflicts globally. His interventions address entrenched attitudes in intractable conflicts, focusing on victimhood, dehumanization, and ideology. Collaborations span NGOs, media experts, and international scholars. Article Trends: His work explores paradoxical thinking , media interventions , intergroup dehumanization , political victimhood , and AI policy acceptance . These studies apply to contexts like the Israeli-Palestinian conflict, U.S. political polarization, and global migration. Advising: He mentors early-career researchers, including Nguyen C. M. † , Knab N. † , Hebel-Sela S. † , and others (marked with † in publications). Labs & Teams: He collaborates with the Human Development Lab (Boris Mints Institute) and co-edits volumes like Psychological Intergroup Interventions (2023, Routledge) and Personalized Psychological Intergroup Interventions (2025, Routledge).
Mahsa Jessri is an Associate Professor in the Food, Nutrition and Health Program at the University of British Columbia's Faculty of Land and Food Systems. She holds the prestigious Canada Research Chair (Tier 2) in Nutritional Epidemiology for Population Health and is affiliated with the Centre for Health Services and Policy Research (CHSPR) and the Department of Health Services and Policy at the UBC School of Population and Public Health, Faculty of Medicine. Dr. Jessri also serves as an Affiliate Investigator of Evidence to Innovation (E2i) Theme at the BC Children's Hospital Research Institute. Her educational background includes a PhD (Vanier Scholar) in Nutritional Sciences from the University of Toronto, an M.Sc. in Nutrition and Metabolism from the University of Alberta, and a Banting Postdoctoral Fellowship from Statistics Canada. Dr. Jessri's research is uniquely positioned at the intersection of nutritional sciences, big data analytics, AI, and population and public health, with the overarching goal of providing evidence-based decision tools to inform guidelines and policies for reducing the burden of chronic diseases. Dr. Jessri's research program focuses on using big data and methodological advancements (including AI and machine learning) to identify dietary patterns and their interactions with health outcomes, population health impact assessment of food and nutrition policies, nutritional monitoring and population surveillance, development of robust methods for complex data analysis, and design of personalized nutrition risk assessment tools. Her Nutritional Epidemiology and Big Data Analytics Laboratory provides a stimulating environment for research in these areas. Her publication portfolio demonstrates a strong focus on dietary patterns, chronic disease prevention, and the application of advanced statistical methods to nutritional epidemiology. Her recent work has examined nutrient profiling models, cardiovascular disease risk, dietary pattern assessment tools, and the impact of dietary factors on health outcomes across diverse populations including Canadian adults, Inuit communities, and international cohorts. Among her notable honors are the Royal Society of Canada (RCS) Alice Wilson Award (2018), Emerging Leader in Nutrition Science from the American Society for Nutrition, and the Canadian Institute of Health Research (CIHR) Banting Postdoctoral Fellowship. She has also received the INMD/CNS Early Career Researcher Partnership Prize and the Discovery Award from the Banting Research Foundation. Dr. Jessri teaches FNH 398: Research Methods in Human Nutrition and has previously taught graduate-level courses at the University of Ottawa. Her academic career builds on decades of clinical and public health dietetics and nutrition policy experience working at academic and regulatory institutions. She has served as a past Core member of Health Canada's Nutrition Science Advisory Committee (NSAC) and is active in the American Society for Nutrition and American Academy of Nutrition and Dietetics Artificial Intelligence (AI) in Nutrition Research Taskforce.
Paul Johnson, Ph.D. is a Professor in the Biology Department at the University of North Georgia, specifically within the College of Health and Natural Sciences. He maintains an office in the Health and Natural Sciences building, room 435, in Dahlonega. Dr. Johnson teaches several courses including Microbiology for Allied Health Professions, Genetics, Food Microbiology (Study Abroad), Environmental Microbiology, and General Microbiology. Dr. Johnson earned his Ph.D. in Microbiology and Molecular Genetics from Emory University in 2010 and his B.S. in Biology from North Georgia College & State University in 2002. Following his doctoral studies, he completed a Postdoctoral Fellowship at Emory University from 2010-2012. Dr. Johnson's research focuses on understanding bacterial mechanisms for evading antimicrobial agents, specifically differentiating between antibiotic resistance (heritable genetic mechanisms) and antibiotic tolerance/persistence (survival of genetically identical subpopulations). His work primarily utilizes two model organisms: N. gonorrhoeae and S. aureus . This research has important implications for developing more effective antimicrobial therapies and understanding treatment failures. Dr. Johnson has made significant contributions to understanding efflux pumps, gene regulation in pathogenic bacteria, and the molecular mechanisms underlying antibiotic resistance. Analysis of Dr. Johnson's publication record reveals a consistent focus on antimicrobial resistance mechanisms, particularly in Neisseria gonorrhoeae and Staphylococcus aureus . His work spans molecular genetics, bacterial physiology, and the clinical implications of resistance mechanisms. Over time, his research has expanded from basic mechanisms of efflux pumps to broader questions about bacterial persistence and the evolutionary dynamics of resistance development. The interdisciplinary nature of his work connects microbiology, molecular genetics, and clinical medicine. Dr. Johnson serves as an advisor for Biology and Pre-Medicine students at UNG. His expertise in microbiology and antimicrobial resistance informs both his research and teaching, creating a strong connection between his scholarly work and classroom instruction. While specific grant information isn't provided in the available materials, his productive publication record suggests successful research funding. Based on his research focus on N. gonorrhoeae and S. aureus , Dr. Johnson likely maintains laboratory facilities for bacterial culture, genetic manipulation, and antimicrobial susceptibility testing. His work on microbial population dynamics suggests sophisticated experimental approaches to studying bacterial communities and their responses to antimicrobial challenges.
Sadie Creese is Professor of Cybersecurity in the Department of Computer Science at the University of Oxford. She serves as Director of the Global Cyber Security Capacity Centre at the Oxford Martin School and Director of the Oxford Martin Programme on AI Threat Detection. Additionally, she is a Governing Body Fellow at Worcester College and Chair of Examiners for the MSc in Computer Science. Professor of Cybersecurity, Department of Computer Science, University of Oxford Director, Global Cyber Security Capacity Centre, Oxford Martin School Director, Oxford Martin Programme on AI Threat Detection Governing Body Fellow, Worcester College Chair of Examiners for MSc in Computer Science Sadie Creese holds a DPhil in Computer Science from the University of Oxford, an MSc in Computation, and a BSc (Hons) in Mathematics and Philosophy. Her academic background bridges theoretical computer science with practical applications in security. Her research spans multiple domains of cybersecurity including cyber situational awareness, visual analytics for cybersecurity, predicting organizational cyber-value-at-risk, agent-based simulations for malware propagation, threat modeling and detection, network defense, and cyber-resilience strategies. She also studies national cybersecurity capacity, working with countries and international organizations worldwide. Her interdisciplinary approach integrates insights from computer science, social sciences, and policy studies to address complex security challenges in an interconnected digital world. Analysis of her recent publications reveals a consistent focus on practical cybersecurity applications with strong emphasis on human factors in security systems. Her work bridges technical security mechanisms with organizational and human elements, particularly in areas like insider threat detection, risk communication, and security operations. The research demonstrates a trajectory toward more integrated security frameworks that consider both technical vulnerabilities and human behaviors within complex systems. Sadie Creese has been recognized as one of The 50 most influential women in cyber-security UK . Her work with the Global Cyber Security Capacity Centre has influenced national cybersecurity strategies worldwide, and she actively contributes to policy discussions through platforms like the World Economic Forum's AI Governance Alliance. The 50 most influential women in cyber-security UK Professor Creese has supervised numerous PhD and Master's students including Mary Bispham, Rodrigo Carvalho, Elizabeth Phillips, Marcel Stolz, and Meredydd Williams. Her research has been supported by significant grants including AXIS-sponsored projects on cyber-risk modeling, World Economic Forum collaborations on cybersecurity futures, and Lloyds Register Foundation funding for cyber security research related to the Industrial Internet of Things. She leads major interdisciplinary projects that bridge technical security research with policy implications. Principal Investigator on AXIS-sponsored project 'Analysing Cyber-Value-at-Risk, Residual Risk and models for Systemic Cyber-Risk' Collaboration with World Economic Forum's Shaping the Future of Cybersecurity Platform Co-Chair of Lloyds Register Foundation sponsored Foresight review of cyber security for the Industrial Internet of Things Professor Creese founded and directs the Global Cyber Security Capacity Centre (GCSCC) at the Oxford Martin School, which conducts research into national cybersecurity capacity. She was also the founding Director of Oxford's Cybersecurity Network (now CyberSecurity@Oxford), established in 2008. Her team includes senior researchers like Ioannis Agrafiotis, Louise Axon, and Michael Goldsmith, who collaborate on projects spanning cyber analytics, security protocols, and identity management. The GCSCC works with governments and international organizations to build cybersecurity capacity globally, while the Oxford Martin Programme on AI Threat Detection focuses on emerging security challenges posed by artificial intelligence technologies.
Melissa Ianetta is the Class of 1958 Professor of Communication and Executive Director of the Writing and Communication Program at the School of Literature, Media, and Communication, Georgia Institute of Technology . She has co-authored foundational texts like The Oxford Guide for Writing Tutors and received awards for editorial and leadership excellence. Education: PhD in Rhetoric and Composition, The Ohio State University Her research focuses on disciplinarity , peer tutoring , writing program administration , and academic editing , with a strong emphasis on rhetoric, communication, and pedagogical innovation. Her recent work explores postdoctoral teaching fellowships in English Studies and classical rhetorical models in writing center administration. Scientific Awards: Phoenix Award for Significant Editorial or Design Achievement (Writing Center Journal) Ron Maxwell Leadership Award (National Council for Peer Tutoring in Writing, 2020) Marion Barry Distinguished Graduate Alumni Award (Bridgewater State University, 2020) Assistant Chair of the Conference on College Composition and Communication (2024-2025) Dr. Ianetta has edited College English (2017-2022) and co-edited the Writing Center Journal . She teaches courses on peer tutoring and first-year writing seminars, integrating empirical research with writing culture. Her work bridges classical rhetoric, modern pedagogy, and interdisciplinary collaboration.
Sean Hanna is a Professor of Design Computing at The Bartlett School of Architecture , University College London , and a member of the UCL Space Syntax Laboratory . His interdisciplinary work bridges architecture, computational modeling, and machine learning.
Martha Tsigkari serves as an Associate Professor at The Bartlett School of Architecture, University College London (UCL), where she bridges architectural practice with cutting-edge computational research. Her position situates her at the forefront of digital transformation in the built environment, with institutional affiliations spanning UCL's Faculty of the Built Environment and direct contributions to UN Sustainable Development Goals 4 (Quality Education), 11 (Sustainable Cities), and 13 (Climate Action). Her research program critically examines the integration of artificial intelligence, machine learning, and cognitive psychology into architectural design processes. Key investigations include spatial and visual connectivity analysis, XR-enhanced collaborative design environments, and AI-driven optimization of building performance. She explores how digital tools reshape creativity, professional identity, and sustainability outcomes in architecture, with particular focus on data commoditization, skills evolution, and human-AI collaboration in design workflows. Her interdisciplinary approach connects architectural theory with computational neuroscience and industrial digitalization trends. Tsigkari's publication trajectory reveals a clear evolution from computational structural analysis (2012-2017) toward AI ethics and professional transformation (2022-2024). Early work established foundations in performance-driven facades and material systems, while recent output confronts existential questions about architectural practice in the AI era. Her scholarship consistently addresses the tension between technological capability and human-centered design values, with growing emphasis on sustainable development frameworks and educational implications. Scientific Awards: No major awards are documented in the available records. Advising and Grants: While specific supervisees and funding mechanisms aren't detailed in current sources, her extensive collaborative network across 30+ publications indicates active mentorship and research leadership. Co-authorship patterns suggest involvement in multi-institutional projects addressing AECO industry digitalization, with potential ties to UK research councils and industry partnerships like RIBA. Labs and Teams: Tsigkari operates within The Bartlett's digital research ecosystem through recurring collaborations with Kosicki, Tarabishy, and Psarras. Her work manifests in experimental toolsets including Glaucon (XR design environment), HYDRA (optimization framework), and SandBOX (conceptual design system), indicating leadership in UCL's computational design labs focused on human-AI interaction and sustainable building technologies.
Daniel P. Schrag is the Sturgis Hooper Professor of Geology, Professor of Environmental Science and Engineering, and Professor of Public Policy at Harvard University. His primary affiliation is with the Department of Earth and Planetary Sciences in the Faculty of Arts and Sciences, with additional roles in the John A. Paulson School of Engineering & Applied Sciences and the Harvard Kennedy School, where he co-directs the Program on Science, Technology, and Public Policy at the Belfer Center. Harvard University Center for the Environment Department of Earth & Planetary Sciences John A. Paulson School of Engineering & Applied Sciences Harvard Kennedy School (Belfer Center) His research spans Geochemical Oceanography , Stable Isotope Geochemistry , and Paleoclimatology , with a focus on understanding historical climate patterns, carbon cycle dynamics, and ocean temperature reconstructions. His work also addresses modern challenges like Climate Change , Carbon Sequestration , and Energy Technology , integrating scientific and policy-oriented approaches. Recent publications highlight his interdisciplinary work, including Border Carbon Adjustments for climate finance, Direct Air Capture Technologies , and analyses of Millennial-Scale Sea Level Changes . He explores Geoengineering , Climate Policy Economics , and Isotopic Records of Earth's history. Daniel P. Schrag's work bridges Earth Science and Policy Design , emphasizing actionable solutions to energy and climate challenges. He leads initiatives connecting academia to global policy frameworks, ensuring scientific rigor informs practical mitigation strategies.
Dr. Sirojan Tharmakulasingam serves as a Lecturer and Research and Development Coordinator at the Signals, Information & Machine Intelligence lab within the Faculty of Engineering at the University of New South Wales (UNSW) Sydney. His work bridges theoretical machine learning with practical applications in edge computing and high-performance systems. His research spans multiple cutting-edge domains including machine learning, artificial intelligence, data science, edge computing, and high-performance computing. Dr. Tharmakulasingam specializes in developing next-generation inference models by integrating machine learning, signal processing, mathematical modeling, and computing across diverse data types including images, video, audio, and quantum molecular data. His work has significant implications for scientific computing, telecommunications, and healthcare applications. Analysis of his publication trends reveals a strong focus on practical AI implementations, with increasing emphasis on edge computing solutions, quantum applications, and energy-efficient models. His recent work demonstrates progression from foundational machine learning techniques toward specialized applications in scientific computing and real-time systems. Dr. Tharmakulasingam holds a Doctor of Philosophy from UNSW Sydney and a Bachelor of Science of Engineering from the University of Moratuwa in Sri Lanka. His academic journey reflects a strong foundation in both theoretical and applied engineering principles. As Research and Development Coordinator for the Signals, Information & Machine Intelligence lab, he oversees critical research infrastructure and collaborations. His work location in Room 447 of the EE&T Building (G17) places him at the heart of UNSW's engineering research ecosystem, with access to the Mark Wainwright Analytical Centre's extensive facilities.
Hazar Dib is an Associate Professor at the School of Construction Management Technology, Purdue Polytechnic Institute, Purdue University. His work bridges Building Information Modeling (BIM) , knowledge management , and interactive learning technologies to advance construction education and process efficiency. Ph.D. in Building Construction (2007, University of Florida) MSc. in Civil Engineering (2002, University of Balamand) BSc. in Civil Engineering (2000, University of Balamand) Research Interests focus on: BIM lifecycle integration AI/knowledge-based systems for construction Digital tools for surveying and steel connection education Collaborative communication frameworks Sustainability metrics in building practices Human factors in technology adoption Scientific Awards include multiple Charles B. Murphy Awards for undergraduate teaching and the Society of Leaders in Construction induction. His NSF-funded projects like VELS (Virtual Environment for Learning Surveying) and Steel Connection Teaching Tool highlight his innovation in STEM education . Articles span serious games , visual learning , and BIM maturity assessments , reflecting his interdisciplinary approach.
Malgorzata Zboinska is an Associate Professor at Chalmers University of Technology within the Department of Architecture and Civil Engineering . She is a licensed architect and member of the Swedish Association of Architects and National Chamber of Architects of Poland . Hybrid architecture-technology-art research Focus on bio-based materials , digital fabrication , and creative robotics Development Leader of Chalmers' Robotic Fabrication Laboratory Editorial board member of TAD | Technology, Architecture + Design journal Research Themes bridge architecture , digital technology , and art , with expertise in: Sustainable and circular architectural practices 3D printing and robotic construction Material bioinnovation and upcycling Interactive and kinetic architectural solutions Her publications demonstrate strong output in digital fabrication , bio-material applications , and environmental architecture , with international exhibitions at Tempe Center for the Arts (USA) , Dutch Design Week (NL) , and Färgfabriken (Sweden) .
Danielle Willkens is an Associate Professor at Georgia Institute of Technology's School of Architecture , where she combines design, research, and education to engage diverse audiences with architectural history. Her work spans design/build projects , heritage documentation , and transatlantic architectural studies , with a focus on digital preservation and sustainable tourism . Education: Ph.D. in Architectural History & Theory, University College London (2015) Graduate Certificate in Historic Preservation, SCAD (2011) M.Arch, University of Virginia (2008) M.Phil in History of Art & Architecture, University of Cambridge (2006) BS in Architecture + Architectural History, University of Virginia (2004) Her research interests integrate terrestrial laser scanning (TLS) , UAV photogrammetry , and heritage BIM to document sites like the Edmund Pettus Bridge and Rosenwald Schools . Recent projects include digital reconstructions of Civil Rights Movement landmarks and transatlantic architectural networks between Thomas Jefferson and Sir John Soane. Scientific awards highlight her contributions: 2015 SAH H. Allen Brooks Travelling Fellow 2017-2018 AIAS/ACSA New Faculty Teaching Award 2021 AIAS Educator Honor Award American Philosophical Society Franklin Research Grant She leads funded interdisciplinary projects such as the $50,000 NPS grant for the Edmund Pettus Bridge and $750,000 NPS Rosenwald School rehabilitation , collaborating with Auburn University and the National Center for Preservation Training.
