Alexandre Hanft is a Researcher at the Intelligent Information Systems (IIS) Division of the Institute of Computer Science , University of Hildesheim. His work focuses on case-based reasoning (FBS), collaborative multi-expert systems, knowledge management from a process perspective, databases, and semantic wikis. Education : Degree in Computer Science from Humboldt University of Berlin (Oct 1996 - Nov 2004). Professional History : Research assistant in the Artificial Intelligence research group at Humboldt University (May 1998 - April 2002); continued as a research assistant at the University of Hildesheim since Dec 2004. His teaching includes programming topics in C++, database application development, semantic technologies, distributed learning systems, and data warehousing. He co-developed the CookIIS system, which won awards in the Computer Cooking Contest. Scientific Awards : 1st Computer Cooking Contest - Menu Challenge (2008) 2nd Computer Cooking Contest - World Champion (2009) He participated as co-chair in the FGWM 06 workshop during LWA 06 at the University of Hildesheim.
Prof. Claudia Filippi is a Full Professor at the University of Twente since 2009, affiliated with the Faculty of Science and Technology (TNW). She leads research in the Computational Chemical Physics (CCP) group. Education: Ph.D. in Physics, Cornell University (1996) Laurea in Fisica, Universitá di Trento (1991) As a leading expert in quantum Monte Carlo (QMC) methods, her work spans electronic structure theory , excited states , and materials science . She develops advanced computational techniques for accurate molecular and solid-state simulations, with recent focus on exascale hardware adaptation and multi-level QMC approaches. Her research is characterized by quantum mechanical simulations of complex systems, including photoactive molecules , nitrogenase models , and bioconjugate systems . She contributes to method development in wave function optimization and derivative calculations for QMC, and her work bridges theoretical chemistry and computational physics . Recent publications highlight her team's work on exascale quantum simulations (2025), electronic excitations in cyanine dyes (2024), and relativistic effects in nitrogenase models (2024). She has pioneered QMC/MMpol methods for excited states and state-specific embedding potentials for accurate excitation energy calculations. Research Labs/Teams: Computational Chemical Physics (CCP) group, University of Twente Collaborations with international institutions including Universiteit Leiden and Universitá di Trento
Raed Al Kontar serves as an Associate Professor with tenure in the Industrial & Operations Engineering (IOE) department at the University of Michigan's College of Engineering. He leads the Data Science Lab and holds affiliate appointments with the Michigan Institute for Data Science and Computational Discovery and Engineering. His research bridges probabilistic modeling with engineering applications, focusing on personalized, collaborative, and distributed data analytics where knowledge from diverse sources is integrated while preserving privacy. His research program addresses three core questions across descriptive, predictive, and prescriptive analytics: extracting shared/unique patterns across datasets, enabling collaborative model improvement while maintaining data privacy, and optimizing distributed trial-and-error processes. Key research areas include Federated Learning, Uncertainty Quantification, Bayesian Optimization, and Digital Twins, with applications spanning healthcare, manufacturing, and materials science. Current funding includes NSF (including a 2022 CAREER award), NIH, NLM, and industry partnerships. Research Trends: His recent publications demonstrate a strong focus on heterogeneous data integration through novel matrix/tensor factorization techniques, personalized PCA frameworks, and consensus-based distributed optimization. The work consistently bridges theoretical guarantees (e.g., identifiability conditions) with practical applications in hydrogel development, 3D printing, and pharmaceutical safety. Award Highlights: His group has won 12 best paper awards since 2022 across INFORMS, ASA, and IISE, including the 2024 Wilson Prize and INFORMS Data Mining Section's Best General Track Paper. Dr. Al Kontar has successfully placed multiple PhD students in tenure-track positions including Naichen Shi (Northwestern), Xubo Yue (Northeastern), and Seokhyun Chung (University of Virginia). His lab maintains active collaborations with medical researchers (NIH/NLM projects), materials scientists (autonomous experimentation), and pharmaceutical safety experts. The lab combines theoretical innovation with real-world impact, exemplified by their NSF CAREER-funded work on the Internet of Federated Things.
Rachel Holladay is an incoming Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of Pennsylvania's School of Engineering and Applied Science, with an anticipated start date of Fall 2025. She will hold the Asness Family Foundation Assistant Professor of Mechanical Engineering title and join the prestigious GRASP Laboratory as a key faculty member. Education: B.S. in Computer Science and Robotics, Carnegie Mellon University (2017) Ph.D. in Electrical Engineering and Computer Science, MIT (2024) Her research focuses on enabling robots to execute complex, contact-rich manipulation tasks requiring long-horizon planning and robustness against partial or uncertain information. Key areas include: Robotics Mechanical Engineering Control Systems Artificial Intelligence Computer Science Her publication record demonstrates expertise in: Mechanics-based manipulation planning Soft robotics and compliant grasping Task and motion planning integration Force-constrained tool use Motion cone analysis Fréchet error minimization Rachel is actively recruiting graduate students for Fall 2025 and works with the GRASP Lab's interdisciplinary environment that combines computer vision, machine learning, and mechanical design. She maintains collaborative ties with experts like Cynthia Sung and Daniel Koditschek at UPenn, and previously worked with Tomás Lozano-Pérez and Alberto Rodriguez at MIT's LIS Group and MCube Lab.
Professor Andrew Kennedy is the Chair in Advanced Manufacturing and Head of the Department of Engineering at Lancaster University . A graduate of Imperial College and Cambridge University, he previously held academic positions at Nottingham University. His research focuses on novel manufacturing methods for advanced materials, particularly multi-phase materials like metal matrix composites, metal foams, and porous materials, using techniques such as additive manufacturing, powder processing, and gel casting. Research Interests: Development of lightweight and energy-absorbing structures, novel batteries and energy storage systems, thermal/fluid flow management, and medical devices. Collaborations: Leads the TWI-Lancaster Joining 4.0 Centre and works with experts in AI, robotics, and machine learning to enhance manufacturing processes. Scientific Achievements: Published over 140 peer-reviewed papers, holds 2 patents, supervised 40+ PhD students, and led 65+ research projects including EU initiatives with 10+ industrial/academic partners. International Collaborations: Partnerships with institutions in Spain, Germany, Finland, Romania, Greece, Italy, Switzerland, China, Thailand, India, Malaysia, Mexico, Chile, Australia, and Canada.
Professor Anna Volodymyrivna Bakurova is a distinguished academic at Zaporizhzhia Polytechnic University, serving as Professor of the Department of Systems Analysis and Computational Mathematics within the Faculty of Computer Science and Technologies. With a Doctor of Economics degree and extensive experience since 2015 (and as adjunct faculty from 2004-2015), she has established herself as a leading expert in mathematical modeling and socio-economic systems analysis. Zaporizhia State Pedagogical Institute (1985): Mathematics and Physics, Teacher of Mathematics and Physics Zaporizhia State University (1999): Finance, Economist Classical Private University (2015): Systems Software, Programming Engineer Professor Bakurova's research focuses on artificial intelligence methods, modeling of socio-economic processes, self-organization of socio-economic systems, and reflexive management. Her work bridges computer science with economic applications, creating sophisticated models for complex systems analysis and decision support. She has developed innovative approaches to fuzzy logic, ontology modeling, and energy consumption analysis in industrial settings. Her recent publications reveal a strong emphasis on practical applications of theoretical models, particularly in Ukraine's current context. She has made significant contributions to war impact analysis, post-conflict reconstruction modeling, and economic resilience during crisis periods. Her work demonstrates a consistent trajectory from theoretical mathematical models toward increasingly applied research addressing Ukraine's contemporary challenges. Professor Bakurova teaches systemic analysis of socio-economic processes, artificial intelligence methods, time series analysis, methodology and organization of scientific research, intelligent decision support systems, and risk analysis of complex systems. Her teaching reflects her interdisciplinary approach, connecting theoretical foundations with practical applications. Since 2012, she has served on specialized academic councils related to mathematical methods and information technologies in economics at both Classical Private University and Dnipropetrovsk National University. Her professional activities demonstrate deep engagement with both academic governance and practical applications of her research.
Tracey Holloway serves as the Jeff Rudd and Jeanne Bissell Professor of Energy Analysis and Policy at the University of Wisconsin-Madison, jointly appointed in the Nelson Institute for Environmental Studies and the Department of Atmospheric and Ocean Sciences. She leads the Holloway Group at the Center for Sustainability and the Global Environment (SAGE), focusing on the intersection of air quality, energy, climate, and public health. Dr. Holloway directs NASA's Health and Air Quality Applied Sciences Team (HAQAST) and chairs the Energy Analysis and Policy graduate certificate program. Her academic foundation includes a Sc.B. with honors in Applied Mathematics from Brown University (1995), a Ph.D. in Atmospheric and Oceanic Sciences with a graduate certificate in Science, Technology, and Environmental Policy from Princeton University (2001), and a post-doctoral fellowship at Columbia University's Earth Institute with the Mailman School of Public Health (2001-2003). Dr. Holloway's research integrates satellite remote sensing with atmospheric modeling to address critical air quality and public health challenges. Her work emphasizes the connections between energy systems, climate change, and pollution impacts, particularly through the application of NASA satellite data for real-world decision support. She develops methods to translate satellite observations into actionable insights for air quality management and health protection, with growing focus on environmental justice implications of emission reduction strategies. Recent publications reveal a strong trajectory toward multi-pollutant analysis, climate-air quality interactions, and quantification of health co-benefits from clean energy transitions. Her research spans urban to national scales, increasingly incorporating geostationary satellite capabilities like TEMPO for high-resolution monitoring, while maintaining emphasis on practical applications for policymakers and public health officials. Major recognitions include: Member of the National Academy of Medicine Ascent Award from the American Geophysical Union Atmospheric Sciences Section Multiple awards for science outreach, diversity, and mentoring As an educator and mentor, Dr. Holloway co-founded the Earth Science Women's Network (ESWN), providing critical support for early-career women in geosciences through structured mentoring programs. Her leadership in NASA HAQAST exemplifies her commitment to connecting scientific research with stakeholder needs, while her role chairing the Energy Analysis and Policy certificate program shapes the next generation of energy policy experts through interdisciplinary training. The Holloway Group operates as a dynamic research hub within SAGE, collaborating with federal agencies, international organizations, and community stakeholders to ensure research relevance. Current initiatives include developing satellite-based air quality indicators for public health applications, analyzing energy transition impacts on pollution disparities, and creating decision-support tools for sustainable urban planning.
Prof. Dr. İhsan Hakan SELVİ is a distinguished Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering. With a career spanning over two decades at Sakarya University, he has progressed from Research Assistant positions (2001-2017) to his current professorship. His administrative leadership includes serving as Institute Director of the Institute of Science (2022), Deputy Head of Department (2016-2020), and multiple board memberships including the Sakarya Economic and Social Research Center (2023-2026). His research expertise spans manufacturing systems, particularly Seru production systems, assembly systems, deep learning applications in manufacturing, and Industry 4.0 technologies. His work bridges traditional industrial engineering with modern AI techniques, focusing on practical applications in production environments. He has developed conceptual models for smart seru production systems using deep learning for real-time monitoring and controlling, and has conducted extensive bibliometric analyses of production scheduling problems. Prof. SELVİ's scholarly output demonstrates strong trends in applying AI to manufacturing challenges, with increasing focus on deep learning approaches in recent years. His work shows interdisciplinary connections between industrial engineering, computer science, and operations research. His publications span high-impact journals in production research, computer-integrated manufacturing, and industrial engineering. Bilim Ödülü (Science Award) Teşekkür Belgesi (Certificate of Appreciation) As an academic advisor, he has supervised numerous graduate students across diverse topics including machine learning for anomaly detection in water consumption, protein structure prediction using deep learning, and automotive plant logistics optimization. His research projects include significant collaborations such as the "Kauçuk Hamuru tasarımı ve üretimi" project focusing on rubber compound design and Industry 4.0 applications in the rubber sector. He has also contributed to knowledge management and digital transformation through various book chapters and edited volumes. Prof. SELVİ leads or participates in multiple research teams focusing on production systems optimization, AI applications in manufacturing, and digital transformation. His current work continues to explore the intersection of deep learning and manufacturing systems, particularly in the context of Industry 4.0 implementation in Turkish industrial settings.
Raphael Calel is a Ciriacy-Wantrup Postdoctoral Fellow at the Department of Agricultural and Resource Economics within the Rausser College of Natural Resources at the University of California, Berkeley. His research focuses on the intersection of environmental economics, climate policy, and carbon markets. Dr. Calel received his PhD in Environmental Economics from the London School of Economics (LSE). Prior to his doctoral studies, he completed academic work at the University of Cambridge and University College London (UCL). His primary research interests include: Economic effects of the EU Emissions Trading System Climate change policy and technological innovation Uncertainty in climate forecasts and economic modeling Carbon market regulation and enforcement Environmental policy and directed technological change Calel's recent publication record demonstrates a consistent focus on carbon markets, climate economics, and environmental policy evaluation. His work often employs empirical methods to assess the real-world impacts of climate policies, particularly the EU Emissions Trading System. He frequently collaborates with leading researchers including Antoine Dechezleprêtre, David Stainforth, and Nick Watkins. His research bridges theoretical economic models with practical policy applications, addressing questions of market design, regulation effectiveness, and innovation incentives within carbon pricing mechanisms. Professional recognition: Ciriacy-Wantrup Postdoctoral Fellowship at UC Berkeley Dr. Calel has been actively involved in collaborative research projects focused on climate policy evaluation. His work has informed understanding of how carbon markets function in practice, the challenges of international coordination in emissions trading, and the relationship between environmental regulation and technological innovation. His research output suggests involvement in significant projects examining global climate policy mechanisms. Dr. Calel appears to be part of collaborative research networks focused on climate economics, working with researchers across institutions including the LSE, Cambridge, and various European research centers. His work on the EU Emissions Trading System suggests engagement with policy-oriented research teams analyzing real-world carbon market operations.
Professor Barry O'Sullivan is a leading academic and industry expert in artificial intelligence at University College Cork , where he serves as a full professor in the School of Computer Science & IT . He directs the Insight Centre for Data Analytics and the SFI Centre for Research Training in AI, and holds influential advisory roles at Europol's GRACE project, Leuven.ai institute, and the Computational Sustainability Network. His €300m+ R&D funding achievements and 15+ recent publications highlight his technical and societal impact. Co-founder and Chief AI Officer, Stimul.ai Member of University College Cork Governing Body Vice Chair, European Commission High-Level Expert Group on AI Former President, European AI Association His research spans AI ethics , machine learning , and computational sustainability , with recent work focusing on explainable AI for medical diagnostics, energy-efficient scheduling in manufacturing, and human-AI collaboration mechanisms. His publications reveal expertise in constraint programming, anomaly detection, and multilingual reasoning systems. Notable awards include fellowships from AAAI, EurAI, and the Royal Irish Academy, alongside leadership roles in AI policy committees for the European Commission and Irish health research ethics. He leads a team of PhD researchers at UCC, including Marco Dalla and Sharmi Dev Gupta, while directing major European AI initiatives like the ALTAI assessment framework.
Professor Dmitriy Makarov is a Full Professor at Ulster University, affiliated with the Belfast School of Architecture & the Built Environment within the Faculty of Computing, Engineering & Built Environment. He has established himself as an internationally recognized expert in hydrogen safety engineering and computational fluid dynamics. Education Background: Mechanical Engineer degree from Bauman Moscow State Technical University (1991) PhD in Computational Fluid Dynamics from Bauman Moscow State Technical University (1995) Research Interests: Professor Makarov specializes in computational fluid dynamics with a focus on modeling turbulent and reacting systems. His work spans hydrogen safety engineering, fire dynamics, and safety analysis of energy systems. He has pioneered research in hydrogen storage safety, computational modeling of hydrogen behavior under various conditions, and development of safety protocols for hydrogen infrastructure. His work contributes significantly to UN Sustainable Development Goals related to clean energy and sustainable cities. Research Trends: Professor Makarov's recent publications demonstrate a strong focus on hydrogen safety across multiple dimensions - from fundamental combustion phenomena to practical applications in storage and refueling systems. His work increasingly addresses cryogenic hydrogen systems, BLEVE phenomena, and advanced computational modeling techniques like LES. There's a clear trend toward more complex multi-physical phenomena and system-level safety analysis, reflecting the maturation of hydrogen as an energy carrier. Scientific Recognition: h-index of 30 with 2368 citations according to Scopus Member of the organizing committee of the International Conference on Hydrogen Safety Co-chair of "Hydrogen Bridge 2016: Safety of high-pressure hydrogen storage" conference Contributor to IEA HIA Task 37 "Hydrogen safety" Member of the Combustion Institute (British Section) Member of the International Association for Fire Safety Science Research Leadership: Professor Makarov has served as Principal Investigator and Co-Investigator on numerous European and UK-funded projects totaling 30 projects (5 active, 25 completed). He played a pivotal role in establishing the Hydrogen Safety Engineering and Research Centre (HySAFER) as an internationally leading provider of hydrogen safety research and education. His current projects include DELHYVEHR (2024-2026), EPSRC Clean Maritime Research Partnership (2023-2027), and ELVHYS (2023-2025), focusing on advanced hydrogen storage and safety systems. Research Infrastructure: Professor Makarov's work is centered around the Hydrogen Safety Engineering and Research Centre (HySAFER) at Ulster University, which has developed significant expertise in computational fluid dynamics for safety engineering applications. The center has established itself as a key player in hydrogen safety research, collaborating with international partners and contributing to global safety standards.
Ernest Gervino, ScD , is a distinguished researcher at Harvard University specializing in cardiology and exercise physiology . With over four decades of experience, he pioneered the BI Modified Bruce & Gervino Protocols for stress testing patients with limited functional capacity and serves as Core Lab Director for Stress Testing at the Harvard Clinical Research Institute . His work bridges clinical practice, research, and education, influencing national and international cardiac stress testing standards. Core Lab Director, Harvard Clinical Research Institute Peer Reviewer, Harvard Catalyst Clinical & Translational Science Center Research Interests : Dr. Gervino is a global leader in stress testing methodologies, with a focus on T-wave heterogeneity , diabetic cardiac risk , and pharmacological stress agents . His work spans multi-center clinical trials in cardiology, neurology, and diabetes, with industry consultation on FDA panel presentations. Scientific Awards : AHA/ACC Committee Member (non-physician expert) Peer Reviewer for Harvard Catalyst
Professor Lamine Mahdjoubi is Professor of the Built Environment at the University of the West of England (UWE Bristol), Faculty of Environment and Technology, Department of Architecture and the Built Environment. An architect and urban designer by training, he has gained international recognition for integrating advanced ICT solutions into the design, management, and visualisation of the built environment. Education & Qualifications: Qualified in Architecture and Urban Design (specific institutions and dates not provided in the text). Research Interests: Professor Mahdjoubi’s research focuses on the intersection of digital technologies and sustainable urban environments. He develops innovative methodologies and tools for analysing human–environment interactions, with particular emphasis on: Building Information Modelling (BIM) for design, construction, and operations; Virtual and immersive environments for collaborative design and stakeholder engagement; Child-friendly outdoor environments, linking urban design to public health outcomes; Heritage Building Information Modelling (HBIM) for retrofitting and conservation; Blockchain and machine-learning applications for decentralised energy management; Decision-support systems for brownfield redevelopment and risk assessment. Publication Trends: Across >100 peer-reviewed outputs, recent work (2020–2025) demonstrates a clear pivot toward AI and data-driven approaches in the built environment. A dominant strand couples BIM with machine-learning and VR/AR technologies to enhance design coordination, safety, and sustainability. Energy research increasingly integrates blockchain and large-language-model systems for smart grids. A second major strand addresses socio-environmental equity, producing evidence-based guidelines for healthy outdoor spaces for children and refugee communities. Scientific Awards & Recognition: While specific named awards are not listed, Professor Mahdjoubi’s international recognition is evidenced by: Membership of the Advisory Board, International Making Cities Livable (USA); Invited keynote speaker at numerous national and international conferences; Chief/External Examiner roles for universities in the UK and overseas; Founding Director of the pioneering Virtual Reality Enterprise Centre (VREC) at UWE Bristol. Research Funding & Teams: He has secured and directed major projects funded by: UK Engineering & Physical Sciences Research Council (EPSRC); British Academy; European Union Framework Programmes; Qatar National Research Fund (QNRF); Industry partners and local authorities. These initiatives have supported multidisciplinary teams spanning architecture, computer science, public health, and social policy. Laboratories & Centres: Professor Mahdjoubi founded and directed the Virtual Reality Enterprise Centre (VREC) , the first UK centre dedicated to knowledge exchange in visualisation and analysis of the built environment. The centre provides state-of-the-art VR/AR facilities for teaching, research, and industry collaboration.
Tarun Khanna is Professor at Harvard Business School and Director of the Lakshmi Mittal & Family South Asia Institute at Harvard University. His work bridges academic research with practical policy applications, focusing on entrepreneurship and economic development in emerging economies. His research centers on entrepreneurship in developing countries , institutional infrastructure , and India's economic transformation . He examines how trust networks, mentorship ecosystems, and policy frameworks enable entrepreneurial activity in institutional voids. His work emphasizes grassroots innovation and the role of collective action in economic development. Author of Trust: Creating the Foundation for Entrepreneurship in Developing Countries (2018) Regular contributor to policy discussions with NITI Aayog and World Economic Forum Focus on private sector universities and higher education reform in India Khanna actively engages with entrepreneurial ecosystems through ventures like AxilorVentures and maintains a newsletter on Substack exploring India's economic trajectory. His recent work analyzes the global future of higher education with emphasis on emerging market contexts.
Ulrik Pagh Schultz Lundquist is a Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he serves as Head of both the SDU UAS Center and SDU Climate Cluster. With over 123 research outputs spanning robotics, drone technology, and programming languages, Lundquist leads significant initiatives including WildDrone (2023-2026) and Terra Salva (2024-2026), and has established himself as a leading expert in unmanned aerial systems research with extensive field applications in wildlife conservation. Lundquist's research focuses on the intersection of robotics and environmental science, with particular expertise in drone swarms for ecological monitoring. His work bridges theoretical computer science with practical conservation challenges, developing programming languages and formal models specifically for modular robotics systems. Key research thrusts include minimizing wildlife disturbance through optimized drone operations, multi-perspective data collection techniques, and scalable BVLOS (Beyond Visual Line of Sight) systems for conservation areas. His fingerprint analysis reveals strong contributions to domain-specific languages (67%), unmanned aerial vehicles (28%), and object-oriented programming (28%). Recent publications demonstrate a clear trajectory toward practical conservation applications, with increasing emphasis on ethical drone deployment, wildlife disturbance minimization, and operational safety in complex environments. Lundquist's work shows growing integration of swarm intelligence techniques with traditional conservation practices, particularly in African ecosystems as evidenced by field trials at Kenya's Ol Pejeta Conservancy. Lundquist actively leads multiple research projects including WildDrone (focusing on multi-perspective animal monitoring), Terra Salva (terahertz data transmission via drones), and a High Altitude Balloon platform for vegetation monitoring. His professional leadership includes chairing the ACM International Conference on Generative Programming Steering Committee (2019-2022) and significant roles in COST Action IC1405 (2015-2019). As a highly visible expert, he has contributed to 107 media appearances, frequently advising on drone policy including Denmark's regulatory approaches to drone safety and wildlife protection. As Head of the SDU UAS Center, Lundquist directs a multidisciplinary research team specializing in conservation drone technology. The center maintains strong international collaborations, particularly with African conservation organizations, focusing on developing drone swarm methodologies that balance data quality with minimal ecological disturbance. Current team efforts prioritize field-deployable systems that can operate effectively in remote natural habitats while providing conservationists with high-quality multi-perspective monitoring capabilities.
