Find Academic Supervisors

Myra CohenView profile

Professor

• Software Engineering
• Search-Based Software Engineering
• Highly-Configurable Software Testing
• +5 more

Myra B. Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering at Iowa State University's Department of Computer Science, part of the College of Engineering. She previously held the Susan J. Rosowski Professorship at the University of Nebraska-Lincoln. Her research focuses on software testing of highly-configurable systems, search-based software engineering, and applications in synthetic biology and bioinformatics. Cohen holds a Ph.D. from the University of Auckland, M.S. from the University of Vermont, and B.S. in Agriculture from Cornell University. Education: Ph.D., Computer Science, University of Auckland, 2004 M.S., Computer Science, University of Vermont, 1999 B.S., School of Agriculture and Life Sciences, Cornell University Research Interests: Testing of cyber-physical systems and scientific software Combinatorial design applications in software assurance Synergies between software engineering and synthetic biology Configuration-aware testing for safety-critical systems Recent Projects: OPERA: Rural broadband solutions through open-source ecosystems Dependable AI-driven computational biology tools for KBase Blockchain fault tolerance modeling and measurement Self-adaptive mechanisms for unmanned aerial systems Awards: NSF CAREER Award AFOSR Young Investigator Award ACM Distinguished Scientist ASE Conference Fellow Leadership Roles: Program Co-Chair: ESEC/FSE 2020, ISSTA 2025 General Chair: ASE 2015 Steering Committee: ASE, ESEC/FSE, ISSTA Labs & Affiliations: Director: LaVA-OPs (Variability-Aware Assurance Lab) Center for Wireless, Communities and Innovation (WiCI) Bioinformatics & Computational Biology Graduate Program

• Ocean Carbon Cycle
• Ocean Biogeochemical Modelling
• Climate Modelling
• +4 more

Dr. Sreeush Mohanan is a Research Fellow at the Alfred Wegener Institute (AWI), leading the MarESys Junior Research Group within the Sea Ice Physics department. His work focuses on ocean carbon cycle dynamics, biogeochemical modeling, and international model benchmarking. He specializes in large ensemble simulations, forward/inverse modeling, and Observing System Simulation Experiments (OSSEs). His research addresses critical questions about anthropogenic impacts on marine dissolved organic matter, ocean acidification, and climate change projections beyond 2100. Affiliation: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Key Projects: International Ocean Model Benchmarking (IOMB) System, Indian Ocean carbon cycle modeling, and upwelling zone dynamics studies. His research interests include refining biogeochemical models through data assimilation and Bayesian methods, with a focus on improving representations of nutrient dynamics, plankton biomass, and compensation depth variability. He has contributed to understanding the role of the Indian Ocean Dipole (IOD) on carbon cycles and the impacts of upwelling zones on regional biogeochemistry. Dr. Mohanan's work integrates observational data from platforms like Bio-Argo floats with advanced modeling techniques to enhance predictions of future ocean states under climate change scenarios. His research underscores the importance of multi-disciplinary approaches to address global carbon budget uncertainties and optimize observing systems for ocean health monitoring.

• Genomics
• Plant Breeding
• Statistical Genetics
• +5 more

Prof. Fred van Eeuwijk is a Full Professor in the Department of Mathematical and Statistical Methods - Biometris at Wageningen University & Research. His research focuses on integrating statistical genetics, computational biology, and agricultural science to address challenges in plant breeding and genotype-environment interaction (GxE). He specializes in quantitative trait locus (QTL) mapping, genomic prediction, and high-throughput phenotyping (HTP) data analysis. Recent work includes developing Bayesian models for methane production in dairy cows, epistasis analysis in Arabidopsis, and reaction norm models for GxE prediction. Key projects involve creating chromosome substitution mapping panels, analyzing organellar genome effects in plants, and advancing methodologies for multi-omic data integration. He leads collaborative initiatives across Europe and Australia to characterize crop adaptation under environmental stress, leveraging satellite imagery and computational tools like the statgenHTP R package. His work bridges statistical innovation with practical applications in sustainable agriculture. Supervised PhD candidates include Jasper Solin (predictive plant breeding), Koen Melsen (AI for plant phenotypes), and Yong Shao (longitudinal plant analysis). He advises on multi-environment genomic prediction strategies and has contributed to datasets such as maize yield response studies and sorghum phosphorus efficiency mapping. Research outputs emphasize open-access methodologies, with over 293 publications including influential work on GxE modeling and reciprocal cybrid analysis. His lab's interdisciplinary approach addresses global agricultural challenges through data-driven innovation.

Massimo RiccaboniView profile

Professor

• Economics
• Innovation Studies
• Health Economics
• +5 more

Massimo Riccaboni is a Professor of Economics and Director of LIME (Laboratory for Innovation, Management and Economics) at the IMT School for Advanced Studies in Lucca, Italy. His research focuses on innovation economics, technological complexity, machine learning applications in economics, and global networks. He leads interdisciplinary projects analyzing urban development, healthcare policy, climate change, and corporate digital divides. His work bridges economic theory with computational methods, addressing real-world challenges like pandemic impacts, pharmaceutical reimbursement strategies, and entrepreneurial ecosystems. Research interests include: Innovation networks and global cities' technological competitiveness Machine learning-driven economic analysis (e.g., matrix completion for trade/emissions predictions) Health economics: drug pricing, clinical outcomes, and healthcare technology assessment Environmental policy: CO2 emission modeling and climate change mitigation Regional economics: talent mobility, entrepreneurial ecosystems, and urban tourism impacts Recent work highlights include: Quantifying pandemic policy effects (stay-at-home mandates, vaccination campaigns) Assessing biotechnology industry dynamics (M&A impacts, R&D productivity) Developing AI tools for meme stock monitoring and breast cancer detection As Director of LIME, he oversees initiatives integrating big data, networks analysis, and experimental economics to address complex societal challenges. His contributions span over 100 peer-reviewed articles, with active engagement in policy discussions on innovation governance, digital transformation, and sustainable development.

• Supply Chain Management
• Digital Transformation
• Big Data Analytics
• +5 more

Dr. Deepa Bhatt Mishra is an Assistant Professor at the MBS School of Business since October 2020, specializing in Operations, Information, and Decisions. Her research focuses on Supply Chain Management, Digital Transformation, and Big Data Analytics. She holds a PhD from the Indian Institute of Technology Kanpur and conducted postdoctoral research at McMaster University (Canada) and South University of Science and Technology of China. Before joining MBS, she served as an Assistant Professor at the Indian Institute of Management Amritsar. Her teaching disciplines include Analytics and Data Science, Purchasing, and Supply Chain Management. Her research explores strategic intersections between business practices and digital transformation, with notable work in supply chain resilience, prescriptive analytics, and disaster management modeling. Publications highlight her contributions to understanding digital transformation impacts on supply chains, bibliometric analyses of supply chain ripple effects, and prescriptive analytics frameworks for sustainable operations. Her work bridges theoretical research with practical applications in logistics optimization and organizational performance measurement. Current research themes emphasize Big Data integration with business processes, digital transformation strategies, and innovation management. She has also explored humanitarian supply chain agility and social drivers influencing mobility services adoption.

Henderik ProperView profile

Professor

• Enterprise Architecture
• Business Process Modeling
• Conceptual Modeling
• +5 more

Henderik Proper is a Full Professor of Business Informatics at TU Wien's Faculty of Informatics, leading the Research Unit in Business Informatics. He holds roles as Head of Research Unit, Faculty Council Substitute Member, and Curriculum Commission Principal Member. His expertise spans enterprise architecture, digital transformation, and conceptual modeling. Education: Holds a PhD and has held academic positions at TU Wien and previously at the University of Nijmegen. Research focuses on enterprise modeling, AI-driven systems, and governance frameworks. He leads projects like INTEND (2024–2026) and MFP 4.2 (2022–2023), emphasizing digital twin integration and low-code applications. Publications: Over 50 peer-reviewed articles in top venues like Springer and IEEE, focusing on enterprise engineering, process mining, and AI applications. His work bridges theory and practice, addressing challenges in digital transformation and model-driven architectures. Grants: Active in EU-funded projects (INTEND) and national initiatives (MFP 4.2). Advises on doctoral theses and teaches courses like 'Enterprise & Process Engineering' and 'Ontology-Driven Conceptual Modeling'. Labs/Teams: Leads research groups on enterprise architecture and digital systems within TU Wien's Informatics department, collaborating internationally on standards like ArchiMate extensions.

Mohammad AbedinView profile

Senior Lecturer

• FinTech
• Business Analytics
• Data Analytics in Finance
• +4 more

Dr. Mohammad Abedin is a Senior Lecturer in Finance (FinTech) at Swansea University's School of Management, part of the Faculty of Humanities and Social Sciences. Previously, he held a similar role at Teesside University. His expertise spans FinTech, data analytics in finance, sustainable finance, and energy economics. He is actively engaged in research and has over 50 publications in top journals like IEEE Transactions on Industrial Informatics and Annals of Operations Research . Research Interests: FinTech innovation, sustainable investment strategies, machine learning applications in finance, and climate policy analysis. His work often intersects with environmental and energy economics, exploring topics such as carbon tax impacts, green bonds, and blockchain-driven regulatory frameworks. Editorial Roles: Associate Editor of International Review of Economics and Finance , Journal of Global Information Management , and Kybernetes ; Guest Editor for Decision Support Systems and Technological Forecasting & Social Change . Supervision: Currently guiding PhD/MSc students on topics like FinTech's role in cryptocurrency adoption, sustainable development in Sub-Saharan Africa, and circular economy practices in Chinese SMEs. Teaching: Modules include Big Data in Finance and Sustainable Finance & ESG Investing, emphasizing data-driven decision-making and ethical investing practices.

Beverly Kris Jaeger-HeltonView profile

Teaching Professor

• Biomechanics
• Mechanobiology
• Motor Control
• +14 more

Beverly Kris Jaeger-Helton is a Teaching Professor and Director of Industrial Engineering Undergraduate Curriculum at Northeastern University ’s Department of Mechanical and Industrial Engineering . With a PhD in Human-Machine Systems Engineering and a career spanning 20 years at Northeastern, she has been recognized as a 15-time Professor of the Year awardee across Industrial Engineering, Mechanical Engineering, and First-Year Engineering programs. Founding Director of the Galante Engineering Business Program Director of Senior Capstone Design in Industrial Engineering Faculty associate with ASEE, ASCE, ASME, HFES, IISE, SAE Research & Teaching Focus : Her work bridges Biomechanics , Human Factors Engineering , Capstone Design Pedagogy , and Smart Biopharmaceutical Manufacturing . She champions compassionate design and human performance engineering , with publications exploring Parkinson’s disease through quantitative handwriting analysis and AI-driven training platforms. Scientific Recognition : Scholarly Excellence Award (renamed in her honor) Best Paper Awards at ASEE (Design Division, First-Year Programs, Environmental Engineering) Martin Essigmann Outstanding Teaching Award (COE) Above & Beyond Recognition for pandemic teaching adaptation Leadership & Innovation : As founding director of the Galante Engineering Business Program, she created 11 new BS/MS pathways. She pioneered tablet integration in engineering education through Northeastern’s Transforming Teaching with Tablets program, enhancing interactive learning via Miro boards and Poll Everywhere tools.

Zeynep Duygu TeklerView profile

Research Fellow

• Smart Building Technologies
• Machine Learning
• Building Energy Simulation
• +2 more

Dr Zeynep Duygu Tekler is a Postdoctoral Researcher in the Department of Engineering Science and a Junior Research Fellow at Kellogg College, University of Oxford. Her work focuses on occupant-centric smart building technologies and machine learning approaches for high-performance buildings, including scalable building technologies and data-driven energy management systems. PhD in Engineering Product Development from Singapore University of Technology and Design MEng and BEng in Industrial Engineering from Isik University BSc in Industrial Engineering from Isik University Her research spans building energy simulation, occupancy modeling, IoT-integrated systems, and thermal comfort optimization. She has developed patented energy management systems and contributes to smart building datasets through projects like ROBOD. Her work emphasizes reduced sensing requirements and adaptive control strategies for HVAC systems. Dr Tekler's peer-reviewed publications appear in top-tier journals. She actively reviews for journals including Building and Environment, Energy and Buildings, and Applied Energy. Her accolades include the SINGA PhD scholarship, SUTD Best Research Project Award, and SUTD 3MT Competition victory.

Karen Filbee-DexterView profile

Senior Lecturer

• Marine Ecology
• Kelp Forests
• Climate Change Impacts
• +5 more

Karen Filbee-Dexter is a Senior Lecturer at the University of Western Australia (UWA), holding an academic position in the School of Biological Sciences and affiliation with the UWA Oceans Institute. She leads and contributes to interdisciplinary projects addressing global kelp forest decline and restoration, including the development of the Green Gravel tool and Arctic kelp expansion studies. Education: Karen earned a PhD in Biology (Role of deep-living sea urchins in kelp ecosystems) from Dalhousie University in 2016, and a BSc (Honours with Distinction) in Biology from the same institution in 2010. Research Interests: Her work focuses on climate-driven changes to kelp forests, blue carbon dynamics, Arctic marine ecosystems, and interdisciplinary questions linking social and ecological systems. She explores restoration strategies, regime shifts (e.g., kelp to turf reefs), and ethical considerations in marine conservation. Current Projects: Includes DECRA (2019–2022), Turf Wars (2019–2022), BlueConnect (2019–2023), ArcticKelp (2019–2023), and SUKER (2017–2019). These projects involve international collaboration and aim to quantify stressor impacts, develop restoration tools, and assess ecosystem services. Grants and Collaborations: She has secured grants from the ARC, ArcticNet, SANOCEAN, and the Research Council of Norway. Collaborations span institutions like the Institute of Marine Research, University of Greenland, and Arctic fjord communities.

Tim Doheny-AdamsView profile

Lecturer

• Sustainable Agriculture
• Plant Genetics
• Biotechnology
• +3 more

Dr. Tim Doheny-Adams is an Associate Lecturer in the Department of Biology at the University of York. His teaching emphasizes active learning techniques, such as using simulations (e.g., population structure changes with colored blocks) and board games (e.g., modified Pandemic rules) to foster conceptual understanding in biology. His research focuses on sustainable food production, exploring solutions like integrated pest management and precision farming to counteract environmental impacts of conventional agriculture. His research projects include characterizing genetically modified Arabidopsis plants to study stomatal development’s role in drought tolerance and carbon assimilation, and developing a heroin biosensor using techniques from Neil Bruce’s lab. Students design experiments involving PCR/sequencing, plant growth analysis, and LICOR instrumentation for gas exchange studies. His tutorials engage students in topics like diet’s environmental impact and lifestyle-learning connections through debates, literature reviews, and student-led presentations. Recent publications highlight genetic studies on glucosinolates in Brassica napus, stomatal density’s influence on water efficiency, and biofumigation strategies. His work bridges plant physiology, genetics, and sustainable agriculture, aiming to address global food security challenges. He collaborates on lab techniques including SDS-PAGE, enzyme assays, and bacterial transformation. No scientific awards are listed, but his contributions include innovative teaching methodologies and research on plant stress responses. His advising focuses on student-driven experimental design, with projects often merging molecular techniques and ecological applications. He currently holds no listed grants but is actively involved in teaching and research initiatives at the University of York.

Simon WykeView profile

Assistant Professor

• Sustainable Urban Planning
• Subsurface Infrastructure Management
• Construction Project Management
• +6 more

Simon Wyke is an Assistant Professor at the Department of Sustainability and Planning, Aalborg University. His academic background includes a Master's in Building Informatics and a PhD in Civil Engineering from Aalborg University. He is actively involved in research on data and knowledge management, subsurface infrastructure, nature-based solutions, and IT-based solutions in organizations. His work contributes to UN Sustainable Development Goals related to sustainable cities, responsible consumption, and climate action. Education: PhD in Civil Engineering, Aalborg University Master's in Building Informatics, Aalborg University Research interests focus on: - Subsurface infrastructure management and digital twin technologies - Sustainable urban planning through permeable pavements and NBS - Construction project management and cost overrun analysis - Reality capture and augmented/virtual reality applications in infrastructure - Quality management in construction processes - Waste management optimization in construction sites Notable projects include: - DDU: The Digital Underground (2023-2026): Explores subsurface infrastructure data registration and collaboration networks. - NBRACER (2023-2027): Focuses on climate-resilient nature-based solutions in Atlantic regions. - Optimeret design af byggeaffaldssystemer (2025-2027): Aims to improve waste management through behavioral modeling. He has published widely in journals like Engineering, Construction and Architectural Management and the KSCE Journal of Civil Engineering. His work emphasizes interdisciplinary approaches, combining engineering, data science, and environmental science. Collaboration efforts include partnerships with Danish utility companies and international climate initiatives. He actively peer reviews for construction management journals and participates in climate action conferences like Det Nationale Klimatopmøde.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +5 more

Prof. Gerald Steinbauer-Wagner is an Associate Professor at TU Graz's Institute of Software Engineering and Artificial Intelligence. He specializes in autonomous intelligent systems, focusing on decision-making architectures for robots in uncertain environments. His research integrates software engineering, AI, and robotics to develop reliable systems for applications in disaster response, planetary exploration, and industrial automation. Research Interests: Steinbauer-Wagner's work addresses challenges such as robot navigation in unstructured terrains, human-robot collaboration, and trustworthiness in autonomous systems. Key areas include explainable AI, fault diagnosis, and multi-robot coordination. His team explores solutions for off-road robotics, collective perception, and certification of autonomous systems. Recent Projects: Current initiatives include developing autonomous systems for subterranean rescue missions (ROBO-MOLE), optimizing robot localization using machine learning, and creating educational frameworks for AI literacy in schools. His group also contributes to the RoboCup Logistics League and planetary exploration cascades through analog missions like AMADEE-20. Awards & Recognition: No specific awards listed, but his work has been recognized through extensive publications in top venues like IEEE/RSJ IROS, ICRA, and RoboCup symposiums. Lab & Teams: Leads the Autonomous Intelligent Systems (AIS) research group at TU Graz, collaborating with industry partners like the Smart Factory. His team develops integrated robot systems for production, logistics, and disaster response scenarios.

Wael H. AhmedView profile

Professor

• Multiphase Flow Analysis
• Thermo-Fluid Dynamics
• Energy Systems
• +4 more

Dr. Wael H. Ahmed is a Professor at the University of Guelph's Department of Mechanical Engineering. His research focuses on multiphase flow analysis for energy, water, and food systems, including thermo-fluid dynamics of mechanical systems. He teaches undergraduate courses such as Fluid Mechanics, Thermodynamics, and Heat Transfer, and graduate courses on phase change heat transfer and two-phase flow. His research lab, the Flow, Energy and Dynamics Solution (FEADS) lab, collaborates with industry to develop sustainable solutions for mechanical systems, addressing fluid-structure interaction challenges. Current projects involve optimizing airlift pumps for aquaculture, biogas production, and CO2 capture. Dr. Ahmed emphasizes hands-on learning, engaging students in real-world engineering problems through 'Learning by Doing' initiatives. Key research areas include multiphase flow dynamics, two-phase flow instabilities, and energy-efficient technologies. He has developed innovative pumping systems and sensors for industrial applications, such as the FloNergia airlift pump commercialized with academic-industry partnerships. His work integrates computational fluid dynamics (CFD), experimental validation, and machine learning for flow pattern identification. Recent projects explore applications in nuclear power plant safety, catalytic converter flow analysis, and sustainable energy systems design.

Simone AlioliView profile

Associate Professor

• High-Energy Physics
• Theoretical Physics
• Fundamental Interactions
• +3 more

Simone Alioli is an Associate Professor at the Department of Physics "Giuseppe Occhialini" at the University of Milano-Bicocca. His research focuses on high-energy theoretical physics, particularly in collider phenomenology and Monte Carlo event generator development. Role: Associate Professor Institution: University of Milano-Bicocca Department: Department of Physics "Giuseppe Occhialini" Research Interests: Theoretical physics of fundamental interactions, precision calculations for hadron colliders, resummation techniques, and Monte Carlo simulations. His work bridges quantum field theory with practical event generation tools for experiments like the LHC and future colliders. High-Energy Physics Quantum Chromodynamics Collider Phenomenology Monte Carlo Methods Effective Field Theories Future Collider Design Article Trends: Recent publications emphasize improving event generator accuracy through NNLO matching, resummation methods for top-quark and Higgs boson production, and feasibility studies for future colliders like FCC. Collaborative works often involve experimental design, software validation, and beyond-Standard-Model investigations. Grants & Projects: P4: Precise Predictions for Particle Phenomenology (2019, MIUR) Improved simulations for the LHC and future colliders (2017, CARIPLO Foundation) REINVENT: Resummation-Improved Monte Carlo Event Generator (2017, European Commission)