Find Academic Supervisors

• Sustainable Manufacturing
• Laser Processing
• Green Manufacturing
• +6 more

Paul Mativenga is a Professor of Mechanical and Aerospace Engineering at The University of Manchester, leading research in sustainable and advanced manufacturing. His roles include strategic leadership of Social Responsibility and Equality, Diversity, and Inclusion within the Faculty of Science and Engineering. He holds a PhD from the University of Liverpool and is a Member of the CIRP Academy for Production Engineering. Research focuses on resource-efficient manufacturing, laser processing, and circular economy strategies. Key interests include sustainable manufacturing technologies, energy reduction in machining, and recycling systems. He leads the Laser Processing Research Centre (LPRC) and collaborates on projects like the RE3 initiative for plastic recycling optimization. Recent work emphasizes carbon emission modeling in manufacturing, additive manufacturing optimization, and policy frameworks for industrial sustainability. He has supervised multiple PhD students and received the 2014 A M Strickland Prize for contributions to mechanical engineering. Active editorial roles include associate editorships at Elsevier and Sage Publications. His laboratory, the Laser Processing Research Laboratory, supports cutting-edge research in laser-material interactions and sustainable processes.

• Geophysics
• Reservoir Geophysics
• Geophysical Inversion
• +5 more

Professor Yanghua Wang is a leading academic in Geophysics at Imperial College London's Faculty of Engineering. He serves as Principal of the Resource Geophysics Academy and Director of the Centre for Reservoir Geophysics. His career spans over four decades, with roles including Research Manager at Robertson Research and a PhD from Imperial College London (1995–1997). He holds prestigious awards such as Fellow of the Royal Academy of Engineering (2021) and membership in the Chinese Academy of Engineering (2023). Education highlights include a BSc (1983) and MSc (1994) in Geophysics, followed by a PhD in Geophysics (1997). His research focuses on seismic inversion, reservoir geophysics, and time-frequency analysis, with notable monographs on seismic inversion and signal processing. He leads interdisciplinary projects combining machine learning with geophysical modeling, addressing challenges in reservoir characterization and seismic data processing. Research interests emphasize geophysical inversion techniques, anisotropic media analysis, and applications in energy exploration. He has pioneered methods like the W transform for seismic signal analysis and contributed to advancements in physics-informed neural networks. His work bridges theoretical geophysics with practical reservoir engineering solutions. Prof. Wang’s lab, the Resource Geophysics Academy, focuses on innovative geophysical methodologies for subsurface characterization. His recent projects include AI-driven data assimilation for large-scale systems and high-resolution seismic imaging techniques. Collaborations span academia and industry, addressing global energy and resource challenges.

Sylvie AlbertView profile

Professor

• Smart Cities
• Sustainable Urban Development
• Digital Innovation in Governance
• +4 more

Dr. Sylvie Albert is a Professor of Strategy and Leadership at the University of Winnipeg, former Dean of the Faculty of Business and Economics, and past Associate Dean of Laurentian University's Faculty of Management. With 15 years in academia, she has extensive experience in municipal/provincial governance, management consulting, and economic development. A leading expert in smart cities and digital urban innovation, her work bridges academia, policy, and practice through roles like Senior Advisor to Infrastructure Canada's Smart Cities Challenge and lead jurist for the Intelligent Community Forum. Her research focuses on sustainable urban development, digital governance, and community telecommunication networks, informed by activism on local-to-international boards and think tanks. She is authoring her fourth book on smart cities and has led projects nationwide through her consultancy, Planned Approach Inc. Education & Experience: 12 years in government roles 10 years in management consulting Founder/owner of Planned Approach Inc. (economic development consulting) Leadership roles in Northern Ontario economic development corporations Research Interests: Her interdisciplinary work examines strategy development , entrepreneurship , innovation ecosystems , and the intersection of digitalization with urban policy. Key themes include: Smart/intelligent/sustainable city frameworks Community wireless networks and ICT adoption Online learning pedagogy in business education Labour market barriers for immigrant professionals Grants & Advising: Her advisory contributions include: Global Forum on Digitalization in Europe (yearly participation) Infrastructure Canada's Smart Cities Challenge (Senior Advisor) UN Voluntary Local Reviews methodology development Her consultancy work emphasizes economic development projects and smart community planning across Canada. Labs & Collaborations: Engaged with global networks like the Intelligent Community Forum and cross-sectoral partnerships to advance urban innovation, digital equity, and participatory governance models.

• Geodata Analytics
• Applied Geophysics
• Resource Geoscience
• +7 more

Matthew J. Cracknell is a Senior Lecturer in Geodata Analytics at the University of Tasmania's School of Natural Sciences, specializing in Earth Sciences. He holds a PhD in Computational Geophysics (2014) and BSc (Hons) in Geophysics (2009), both from the University of Tasmania. His research integrates geoscience with machine learning to address challenges in mineral exploration, environmental remediation, and sustainable resource management. Key focuses include automated detection of geological features in drillcore imagery, decarbonization of energy systems via ore deposit discovery, and legacy mine waste characterization. Cracknell leads the CODES Research Program 6 (Geophysics and Computational Geosciences) and Module 2 of the AMIRA P1249 project. He has secured significant industry and government funding, including projects with Boliden AB, Anglo American, and the Tasmanian Government. His work emphasizes collaboration with mining partners and agencies like Geoscience Australia and Mineral Resources Tasmania. Teaching roles include developing courses on the mining value chain, climate resilience, and geodata analytics. As Graduate Research Coordinator, he promotes HDR student well-being and supervises over 20 doctoral and masters students. Awards include the 2019 Oz Minerals Explorer Challenge Prize. Key affiliations include the International Association for Mathematical Geosciences, Australian Society of Exploration Geophysicists (Tasmanian Branch Secretary), and Geological Society of Australia.

Rainer GemullaView profile

Professor

• Machine Learning
• Data Processing
• Knowledge Graphs
• +3 more

Rainer Gemulla is a Professor of Practical Computer Science I: Data Analytics at the University of Mannheim, heading the Data and Web Science Group within the School of Business Informatics and Mathematics. He has been a W3-Professor at the University since 2014, following positions as a senior researcher at Max-Planck-Institut für Informatik (2010-2014) and postdoctoral researcher at IBM Almaden Research Center (2008-2010). His research focuses on machine learning with structured and semi-structured data, particularly knowledge graphs, and developing efficient systems for data-intensive processing. Professor Gemulla's research spans multiple areas including machine learning with structured data (relational data), machine learning with semi-structured data (multi-relational graphs), combining these approaches with unstructured knowledge (text), and developing efficient, scalable methods for data-intensive processing. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source software projects including LibKGE, DistKGE, and AdaPM. His recent publications show a strong trend toward knowledge graph embeddings, parameter server architectures, and efficient training methods. The research demonstrates increasing focus on scalability challenges in graph learning, with particular attention to hyperparameter optimization, dynamic resource allocation, and benchmarking methodologies. His work consistently addresses the practical challenges of implementing machine learning systems at scale. Distinguished Reviewer Award at SIGMOD, 2025 Distinguished PC Member Award at EDBT, 2023 Outstanding Reviewer Award at NeurIPS, 2021 Junior-Fellow of the Gesellschaft für Informatik (GI), 2013 IBM's 2011 Pat Goldberg Memorial best paper award Best paper of NIPS 2011 Biglearn workshop Professor Gemulla actively mentors PhD students and has supervised numerous successful doctoral candidates. His leadership extends to administrative roles including Head of examination board for MSc Business Informatics since 2017, and previously serving as Study dean of the WIM faculty (2016-2019) and CIO of University of Mannheim (2022-2024). His research is supported by grants including AWS in Education Research Grant Award (2013) and Google Focused Research Award (2011). The Data and Web Science Group develops multiple open-source software projects including LibKGE (knowledge graph embedding library), DistKGE (multi-GPU training), AdaPM (adaptive parameter manager), Lapse (parameter server), and various tools for information extraction and sequence mining. The group maintains active collaborations with industry partners and academic institutions worldwide, particularly in the areas of knowledge graph research and scalable machine learning systems.

• Sport Management
• Event Management
• Sport Facility Strategy
• +3 more

Andy Stevens is a Senior Lecturer in Sport Management at the University of Winchester. His career includes roles as a consultant to the Football Association (FA), focusing on five-a-side football and futsal development, including strategies for the FA Futsal League and facility strategies. He has authored numerous reports for the SportBusiness Group and contributed to Sport Business magazine, specializing in venue and event management. His research explores sport industry strategy, management, and performance, with notable work on sport governance and facility development. His publications span academic journals, industry reports, and conference presentations, addressing topics like sport venue optimization, sustainability, and global sport events as soft power tools. He has advised organizations such as the Anschutz Entertainment Group and Disability Sport England (now Activity Alliance), contributing to event calendars including the London Wheelchair Marathon. His work bridges academic research and practical industry challenges, emphasizing adaptability and innovation in sport management.

• Trust and Institutional Economics
• Entrepreneurship in Africa
• Artificial Intelligence in Healthcare
• +5 more

Roles & Affiliations: King Omeihe is a Senior Lecturer at the School of Business and Creative Industries, University of the West of Scotland, and serves as UoA 17 Associate Research Lead for People, Culture, and Environment. He holds external roles including Chair of African Studies at the British Academy of Management and Chair of Entrepreneurship in Minority Groups at the Institute for Small Business and Entrepreneurship (ISBE). He advises on African economic policy and chairs several parliamentary groups in Scotland. Education: PhD from University of the West of Scotland, MBA from University of Aberdeen, and a diploma from University of Cambridge. Research Interests: Focuses on trust institutions, entrepreneurship in Africa, and the intersection of AI with societal challenges. Recent works include Trust and Market Institutions in Africa (2023), Qualitative Research Methods for Business Students (2024), and Handbook of African Studies (2025). Explores institutional economics, ethical AI applications, and decolonizing business education. Articles Trends: Recent publications emphasize AI ethics in healthcare, institutional resilience in developing economies, and leadership in complex systems. Key themes include sustainable development goals (SDGs), cross-cultural entrepreneurship, and policy interventions for minority entrepreneurs. Awards: Includes the 2025 UWS Innovation Teaching Award, 2022 Entrepreneurial Supporter of the Year, and multiple recognitions for teaching excellence. His work has been highlighted by Bright Red Spark for shaping enterprise education. Grants & Advising: Advises startups, policymakers, and global bodies like UNCTAD. Leads initiatives such as the MSc Entrepreneurship programme and collaborates with organizations like Marcel Advisory and the West African Transitional Justice Centre. Active in cross-party policy groups addressing social enterprise and racial equality. Labs & Teams: Co-leads the Centre for African Research on Enterprise and Economic Development (CAREED) and contributes to Emerald’s African Context of Business and Society as Editor-in-Chief. Oversees the UWS BME Staff Network and Academic Integrity Panel.

Georges ZaccourView profile

Professor

• Game theory
• New product diffusion
• Transportation and distribution of oil and gas products
• +3 more

Georges Zaccour is a full Professor at HEC Montréal's Department of Decision Sciences and holds the Chair in Game Theory and Management. He is a member of the Group for Research in Decision Analysis (GERAD). His research focuses on game theory, operations research, environmental management, and quantitative marketing. He has published over 200 papers and co-authored influential books like *Differential Games in Marketing* and *Games and Dynamic Games*. He earned his M.Sc. and Ph.D. in Administration from HEC Montréal, and a Licence in Mathematics and Economics from Université Paris-Dauphine. Previously, he served as GERAD director and head of HEC's Marketing Department and PhD program. His work spans strategic interactions in supply chains, environmental policy, and dynamic games. He has advised 7 PhD students and 1 MSc student since 2020. He won the 2021 Grand Prix de recherche Pierre-Laurin from HEC Montréal and is a Royal Society of Canada Fellow. Teaching includes courses on pricing models and game theory applications. His grants come from NSERC and SSHRC. He is editor-in-chief of *Dynamic Games and Applications* and serves on editorial boards of several journals.

Christian KrupitzerView profile

Professor

• Food Informatics
• Self-adaptive Software Systems
• Machine Learning
• +4 more

Jun.-Prof. Dr. Christian Krupitzer is a Tenure Track Professor in Food Informatics at the University of Hohenheim's Institute of Food Science and Biotechnology, part of the Faculty of Natural Sciences. He leads the Department of Food Informatics and is a member of the Computational Science Hub (CSH). His research focuses on self-adaptive software systems, machine learning (especially edge computing), IoT technologies, and software engineering applied to food processing and agricultural systems. Education: PhD in Business Information Systems (Dr. rer. pol.), University of Mannheim (2018) M.Sc. and B.Sc. in Business Information Systems, University of Mannheim (2010–2012) High School Diploma (Abitur) from Wilhelmi-Gymnasium Sinsheim (2007) Research Interests: Krupitzer’s work integrates computational methods with food science, emphasizing adaptive systems for food quality monitoring, IoT in agriculture, and machine learning for predictive analytics. He explores edge computing’s role in real-time decision-making and secure group communication schemes for IoT networks. Publications: His recent work spans predictive maintenance in Industry 4.0, digital twins in food systems, and blockchain applications in supply chain authentication. The articles highlight trends in interdisciplinary approaches combining AI, IoT, and domain-specific challenges in food production and logistics. Awards: No scientific awards explicitly listed in the provided materials. Grants & Advising: While specific grants are unmentioned, his roles as department head and tenure-track professor suggest involvement in research funding. No formal advisee list provided, though his team includes postgraduate researchers like Dana Jox, Daniel Einsiedel, and others. Labs & Teams: Leads the Food Informatics department and collaborates with the Computational Science Hub. His team focuses on developing innovative solutions for food systems through computational methods.

• Solar Energy
• Renewable Energy
• Energy Transition
• +5 more

Dr. Dirk Oudes is an Assistant Professor in the Department of Landscape Architecture and Spatial Planning at Wageningen University. His research focuses on the intersection of renewable energy transitions and landscape transformation, particularly solar power plants and agrivoltaics in the Netherlands. He explores how solar energy systems interact with agricultural landscapes, urban planning, and policy frameworks, emphasizing sustainable land use and climate adaptation. Recent trends in his publications highlight spatial analysis of solar infrastructure, regulatory challenges in energy projects, and circular economy principles in agrivoltaics. His work often bridges academic research with practical implementation, as seen in reports and media engagements addressing landscape aesthetics, public acceptance, and policy-relevant findings. Dr. Oudes collaborates with researchers like Sven Stremke and actively participates in workshops, keynote speeches, and expert consultations. He supervises PhD projects on landscape-inclusive energy transitions and spatial quality frameworks, contributing to both academic discourse and professional practice in sustainable design.

Jung Yun BaeView profile

Assistant Professor

• Robotics
• Multi-robot systems
• Coordination of Heterogeneous Robot Systems
• +4 more

Jung Yun Bae serves as Assistant Professor in Mechanical and Aerospace Engineering at Michigan Technological University with a secondary appointment in Applied Computing within the College of Computing, joining MTU in 2019 after five years as Research Professor at Korea University's Intelligent Systems and Robotics Laboratory. Her academic credentials include: PhD in Mechanical Engineering from Texas A&M University MS in Mechanical Engineering from Hongik University BS in Mechanical Engineering from Hongik University Dr. Bae's research program centers on Robotics with emphasis on Multi-robot systems, particularly Coordination of Heterogeneous Robot Teams and Vehicle Routing Problems. Her work develops operational strategies for multi-agent autonomous vehicle systems through Multi-robot System Control and Optimization techniques, extending to Autonomous Navigation and Operational Research applications. Current investigations focus on underwater robotics coordination and neuroevolution approaches for connected vehicle systems. Analysis of her recent publications reveals consistent focus on workload-balanced task allocation for heterogeneous robot teams across challenging environments. Her underwater robotics research addresses tether management and entanglement avoidance, while neuroevolution applications target autonomous vehicle control at uncontrolled intersections and hybrid powertrain optimization, bridging robotics with operations research and artificial intelligence. Prior to MTU, Dr. Bae maintained affiliation with Korea University's Intelligent Systems and Robotics Laboratory. Her current work at MTU connects with the Great Lakes Research Center context, though specific laboratory details aren't provided in available materials.

• Power sector regulation
• Security of supply
• Capacity remuneration mechanisms
• +5 more

Paolo Mastropietro is a Research Professor at the Institute for Research in Technology (IIT) of Comillas Pontifical University in Madrid. He holds a Master's degree from the University of Rome Tor Vergata (2009) and a PhD from Comillas University (2016), focusing on capacity remuneration mechanisms. His career includes private sector work in Italy and Spain, a UNV Project Officer role in Ethiopia (2011), and joining IIT in 2012 under the SETS Erasmus Mundus PhD program. Affiliations: IIT, School of Engineering (ICAI), Comillas Pontifical University Research Interests: Power sector regulation, security of supply, capacity remuneration mechanisms, regional markets, tariff design, and energy sustainability His research emphasizes regulatory frameworks for energy transition and decarbonization, with contributions on hydrogen markets, electricity storage, and demand response integration. Recent work includes analysis of EU market reforms, pandemic-related energy poverty measures, and capacity mechanisms in Latin America. Key projects include the EU-funded ONESYSTEM (2023–2028) and DEFINER (2022–2025) initiatives, focusing on energy system integration and demand flexibility. He advises on regulatory modernization in Peru, Colombia, and Panama, and has authored over 40 journal articles, books, and technical reports. Awards: 2015 ICER Distinguished Scholar Award, Iberdrola Scholarship (2020) Grants: Projects funded by MICIU, World Bank, European Commission, and others He supervises doctoral research, including P. Brito Pereira’s work on future-proof capacity mechanisms. His expertise spans international energy policy, with engagements at ACER and MIT, and contributions to energy transition strategies globally.

Feng YanView profile

Associate Professor

• Big Data
• Machine Learning
• Systems
• +6 more

Dr. Feng Yan is an Associate Professor at the University of Houston's Computer Science Department, leading the Intelligent Data and Systems Lab (IDS Lab). He previously held an Associate Professor position at the University of Nevada, Reno. His research focuses on bridging Big Data, Machine Learning, and Systems, with interdisciplinary applications in wildfire science, materials engineering, and civil infrastructure. He has received prestigious awards such as the NSF CAREER Award and the Regents' Rising Researcher Award. Education: Ph.D. (2016) and M.S. (2011) in Computer Science from College of William and Mary; B.S. (2008) in Computer Science from Northeastern University. Research experience includes roles at Microsoft Research and HP Labs. Research Interests: Large Language Models (LLM), Distributed Deep Learning, AutoML, Serverless Computing, Federated Learning, and AI-driven domain sciences. His work emphasizes real-world impact through collaborations with industry and national labs. Publications: Over 60+ papers in top-tier venues like NeurIPS, ICLR, KDD, AAAI, SOSP, SC, and VLDB. Key contributions include ZeRO++ (collective communication optimization), Gradient Compression techniques, and Federated Learning frameworks like TiFL and HDFL. Awards: NSF EPSCoR Award ($20M), NSF CAREER Award, FAA BAKFAA Grant, and multiple best paper awards (IEEE CLOUD 2018, CLOUD 2019). Active in program committees for HPDC, ICAC, ICPE, and AAAI. Advising: Supervised over 30+ graduate/undergraduate students, with placements at Microsoft Research, IBM, Oak Ridge National Lab, Facebook, and MathWorks. Runs a vibrant lab with a focus on interdisciplinary AI/Systems research.

Hilary SigmanView profile

Professor

• Environmental Economics
• Public Economics
• Law and Economics
• +4 more

Hilary Sigman is Professor of Economics at Rutgers University and Research Associate of the National Bureau of Economic Research (NBER), specializing in empirical environmental policy analysis. Her work bridges environmental economics, public finance, and legal frameworks through rigorous quantitative methods focused on real-world regulatory challenges. Academic Background: B.A. from Yale University M.Phil. from Cambridge University (U.K.) Ph.D. from Massachusetts Institute of Technology Sigman's research centers on environmental policy effectiveness, with three interconnected pillars: hazardous waste management (Superfund remediation, brownfield redevelopment, and liability systems), water resource economics (transboundary rivers, dam construction, and drought impacts), and waste management systems (municipal recycling and international waste flows). Her methodology combines econometric analysis of regulatory outcomes with institutional insights from policy implementation. Current projects examine climate adaptation for contaminated sites, economic consequences of China's waste import ban, and drought-related economic disruptions. Analysis of her recent publications reveals intensifying focus on climate adaptation challenges within environmental regulation, particularly regarding Superfund site resilience. The work increasingly addresses international dimensions of waste policy and transboundary water management, reflecting growing recognition of globalization's impact on environmental governance. Her empirical approach consistently links micro-level regulatory mechanisms to macro-level environmental outcomes. Professional Engagement: Research funding from National Science Foundation and Environmental Protection Agency Committee service for U.S. EPA Science Advisory Board Contributions to National Academies of Science, Engineering, and Medicine panels Teaching: Environmental Economics (Econ 432) and Applied Econometrics (Econ 609) Sigman maintains active policy engagement through government advisory roles while advancing academic knowledge through NBER affiliation. Her research program demonstrates consistent evolution from domestic regulatory analysis toward globally interconnected environmental challenges, particularly waste flows and climate adaptation in contaminated site management. Though no specific awards are documented in source materials, her sustained research funding and policy appointments indicate significant professional recognition.

Shannon NeibergsView profile

Researcher

• Economics of Livestock Production and Management
• Auction Markets
• Agribusiness Employment
• +3 more

Shannon Neibergs is an academic professional at Washington State University (WSU), serving as Director of the Western Center for Risk Management Education and Extension Specialist in the School of Economic Sciences. She holds a Ph.D. in Agricultural Economics from Texas A&M University (1993), an M.A. in Agricultural Economics from WSU (1987), and a B.S. in Animal Science from WSU (1983). Her research focuses on livestock production economics, auction market dynamics, and agribusiness employment strategies, with significant contributions to risk management education and sustainable agriculture. Notable honors include NACAA National and Regional Finalist awards for team newsletters (2010, 2008), a Faculty Member of the Year Award (University of Louisville, 1997), and multiple annual evaluation awards for service and research excellence. Her work bridges academic research with practical extension programs, addressing challenges in beef production systems, genomic selection tools, and rangeland management. Risk Management Education: Leads initiatives to help farmers navigate market uncertainties and policy changes. Livestock Economics: Specializes in production costs, crossbreeding impacts, and disease management economics. Regional Agriculture: Analyzes economic contributions of Washington's beef and dairy sectors through input-output models. Her advisory and collaborative efforts include managing the Western Center for Risk Management and contributing to the Beef Risk Control (BRD CAP) project. She collaborates with ranchers and policymakers to enhance agricultural resilience. Active in interdisciplinary teams such as the IMPACT Center and Transportation Research Group, her work emphasizes translating research into actionable solutions for agricultural stakeholders.