Find Academic Supervisors

Andrea LassmannView profile

Professor

• International Trade
• Public Economics
• Urban/Regional Economics
• +5 more

Prof. Dr. Andrea Lassmann is a Professor of International Economic Policy at the University of Mainz. She holds a PhD from ETH Zurich (2012) and has prior experience as a Trade Policy Analyst at the OECD and ETH Zurich. Her research focuses on international trade, public economics, and urban/regional economics, with a particular emphasis on the role of language in trade, taxation-policy linkages, and digital platform taxation. She actively contributes to policy consulting for international organizations and supervises students in empirical research aligned with her research themes. Teaching responsibilities include courses like Economic Geography, Regional and Urban Economics and Master seminar in International Economics and Public Policy . She collaborates with institutions like SECO (Swiss State Secretariat for Economic Affairs) on projects analyzing global value chains and trade dynamics. Her work has been featured in journals such as European Economic Review , Economic Journal , and World Economy , with recent contributions addressing taxation spillovers in digital markets and immigration’s impact on international production networks. Her research team includes Mina Taniguchi, PhD, and Siddhi Girish Dixit. She coordinates the Bachelor of Science in Economics and Master in International Economics and Public Policy (MIEPP) programs. Key research outputs include policy papers on gender gaps in trade, services trade impacts, and multinational production dynamics. Her work bridges empirical analysis with policy relevance, addressing contemporary challenges in global economic governance.

• Rock Mechanics
• Geostatistics
• Mining Engineering
• +5 more

Associate Professor Chaoshui Xu is affiliated with the School of Chemical Engineering and the Department of Mining and Petroleum Engineering at the University of Adelaide. With over 30 years of experience in academia and industry, his research spans rock mechanics, geostatistics, mine planning, and innovative mining technologies. He is eligible to supervise Masters and PhD candidates in areas such as stochastic rock fracture modeling, geothermal systems, and mine-to-mill optimization. Research Interests: Stochastic rock fracture modeling and fluid flow in fractured rock masses Geostatistics and mineral resource evaluation Rock mechanics and fracture toughness testing In-situ recovery of minerals and underground coal gasification Rock fragmentation and dynamic rock mechanics Publications: His recent work (2023–2024) focuses on topics such as borehole rockburst mechanics, enzyme-induced soil reinforcement, and numerical modeling of fracture networks. These studies highlight advancements in understanding rock behavior under extreme conditions and optimizing mining processes. Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: Supervises graduate students and contributes to grants focused on mine planning and geothermal systems. Active in professional associations related to rock mechanics and mining engineering. Affiliations: Located at Engineering North, North Terrace, Adelaide. Contact via chaoshui.xu@adelaide.edu.au or +61 8 3135 421.

Saikat GuhaView profile

Professor

• Quantum Information Theory
• Quantum Optics
• Photonics
• +7 more

Prof. Saikat Guha holds the Clark Distinguished Chair Professorship in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He leads the Photonic Quantum Systems (PhoQuS) group, focusing on quantum information theory applications to quantum optics, quantum-limited photonic systems, and cross-disciplinary innovations in information theory, error correction, and network theory. His research spans quantum-enhanced classical communications, quantum network architectures, photonic sensing with non-classical light, and quantum-limited imaging. Notable projects include NSF-funded initiatives for quantum interconnects in ion trap quantum computers and quantum networking protocols. He is recognized as an IEEE Fellow for contributions to quantum communication. Teaching includes a new undergraduate/graduate course Information in a Photon (ENEE 439G/739G), introducing quantum light principles for information processing. His group collaborates on experimental proof-of-concept systems, including entanglement-enhanced LiDAR, fiber-optic gyroscopes, and quantum-optimal coronagraphs for exoplanet detection. Research Labs: Photonic Quantum Systems (PhoQuS) Lab Grants: $5M NSF Convergence Accelerator Award (Quantum Interconnects) $1M NSF Project (Quantum Network for Trapped-Ion Computers) Awards: IEEE Fellow (2023) Key advising contributions include PhD student Itay Ozer (optomechanics) and postdoc Yu Shi (quantum entanglement studies). His work bridges foundational theory with practical implementations, aiming to achieve quantum-limited performance in real-world systems.

• Geostatistical Modelling
• Mineral Resource Estimation
• Petroleum Reservoir Engineering
• +3 more

Professor Peter Dowd is a faculty member in the School of Chemical Engineering at the University of Adelaide, specializing in geostatistical and geological modelling. He holds a Professor rank and is affiliated with the Mining and Petroleum Engineering department. His research focuses on geostatistical applications in mineral resources, petroleum reservoirs, and environmental systems, including stochastic risk assessment and optimal mine design. He has contributed to commercialized software like MINVEST and GeostatWIN, developed in collaboration with the Universities of Adelaide and Leeds. His work addresses complex geological challenges, such as orebody modelling, hydrocarbon reservoir characterization, and enhanced geothermal systems. Recent projects involve environmental risk analysis, aquifer flow pathways, and climate change impacts. Key contributions include co-authoring Mining Geostatistics and editorial roles in geostatistical publications. His expertise spans mineral economics, operational research, and computer-aided mine design. He advises on PhD/Master’s projects and actively engages in grants and industry partnerships.

Seán McLooneView profile

Professor

• Intelligent Systems
• Deep Learning
• Manufacturing Competitiveness
• +4 more

Seán McLoone is a Professor at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. He leads the Energy Power and Intelligent Control (EPIC) Research Cluster and directs the Centre for Intelligent Autonomous Manufacturing Systems (i-AMS). His research focuses on intelligent systems, data-driven modeling, and applications in manufacturing, energy, and robotics. He holds IEEE Senior Membership and IET Fellowship. Education: MEng (Distinction) and PhD in Control Engineering from Queen's University Belfast (1992-1996), with a Postgraduate Certificate in Higher Education Teaching (2000). He previously served as Head of Electronic Engineering at NUI Maynooth (2009-2012). Research interests include deep learning for manufacturing and energy systems, autonomous robotics, and adaptive optimization. He collaborates extensively with industry on projects like sensor characterization, predictive maintenance, and smart grid analytics. Supervised 28 PhD students, many in roles like Senior Consultant at PSC or Lead at Novartis. Awards include Best Paper at W2GIS 2013 and ISSC 2014. Serves as Associate Editor for Transactions of the Institute of Measurement and Control and on Engineering Applications of Artificial Intelligence's editorial board. Active in professional roles like UKRI IEEE Section Chairman and accreditation committees. Labs/Teams: EPIC Research Cluster, i-AMS Centre Projects: Over 20 projects, including smart manufacturing education hubs and energy system modeling.

Carlotta MazzoldiView profile

Professor

• Marine Biology
• Conservation Biology
• Elasmobranch Ecology
• +12 more

Carlotta Mazzoldi is a Full Professor in the Department of Biology at the University of Padua, Italy, where she conducts interdisciplinary research at the intersection of marine ecology, conservation biology, and fisheries management. Her work emphasizes the conservation of elasmobranch species, population dynamics, and the integration of local ecological knowledge into marine policy. Her research interests include: Marine and elasmobranch conservation Life-history traits of marine species Reproductive and trophic ecology Climate change impacts on marine ecosystems Citizen science and public perception of sharks Antarctic fish biology Recent publications reveal a strong trend toward interdisciplinary, data-driven approaches combining field ecology, genetics, modeling, and social science to inform marine conservation. Her work frequently addresses the impacts of overfishing, invasive species, and climate change in the Mediterranean and polar regions. She contributes to large-scale initiatives such as the Oceans Past Platform and LIFE ELIFE project. Scientific contributions and collaborations: Extensive co-authorship on elasmobranch life-history and genetics Active involvement in Mediterranean and Antarctic marine research Leadership in public engagement and shark perception studies Use of citizen science and fisher knowledge in ecological assessments She advises students and early-career researchers, though specific names are not listed. Her work is supported by national and international grants focused on marine conservation and sustainable fisheries. She is affiliated with Fabrizio Serena's Lab and contributes to interdisciplinary marine research networks across Europe.

• Breast Cancer
• Molecular Biology
• Metastasis
• +15 more

Erik Knutsen is an Associate Professor at the Institute of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway. He holds a PhD in Medical Biology and a Master’s in Molecular Biotechnology. He currently serves as the Study Program Leader for the Bachelor program in Biomedicine and teaches cellular biology at undergraduate and graduate levels. His research is centered on breast cancer metastasis, focusing on molecular mechanisms such as epithelial-mesenchymal transition (EMT), tumor microenvironment, non-coding RNAs, and single-cell sequencing. He leads a major project using single-cell RNA-seq to subclassify breast cancer cells in lymph nodes for improved diagnosis and personalized treatment. His goal is to prevent overtreatment and understand tumor dormancy and recurrence. Erik’s recent publications span high-impact journals like Nature , PNAS , and Journal of Clinical Investigation , with research themes in bioinformatics, CRISPR/Cas, serglycin, miRNA regulation, and liquid biopsies. His work often involves large-scale computational analysis and collaboration with clinicians, bioinformaticians, and molecular biologists. Scientific Awards: No specific awards listed in the provided text. Erik is currently supervising two PhD students and one master student as main supervisor, and one PhD student as co-supervisor. He has previously supervised multiple master’s, bachelor’s, and Erasmus+ trainee students. His research is supported by strong national and international collaborations, including work with George A. Calin at MD Anderson. He has led projects on functional RNA profiling, miRNA variations, and transcriptome analysis in cancer. He is based in Tromsø and actively contributes to both research and education in molecular oncology.

Jean-Yves MatrouleView profile

Researcher

• Microbiology
• Bacteriology
• Metal Homeostasis
• +4 more

Jean-Yves Matroule is a Researcher at the Namur Research Institute for Life Sciences , affiliated with the Research Unit in Biology of Microorganisms. His work spans microbiology, metal homeostasis, and antimicrobial resistance. Doctor of Science, Université de Liège Active in research on bacterial copper resistance mechanisms Supervisor of multiple PhD projects including those on Caulobacter crescentus and Cupriavidus metallidurans Research interests focus on bacterial responses to metal stress, particularly copper resistance , chemotaxis , and metalloprotein function . His projects explore bidirectional copper transport, antibiotic-metal coresistance, and biosynthetic applications for radionuclide extraction. Recent scientific activities include organizing the Annual Meeting of the Namur Research Pole in Infectiology (NaRePI) , editorial contributions to Frontiers in Microbiology , and participation in conferences like the 10th International Copper Meeting . He also manages equipment for flow cytometry analysis.

Philip WoodmanView profile

Professor

• Cell Biology
• Molecular Biology
• Membrane Trafficking
• +5 more

Philip Woodman is a Professor of Cell Biology and Head of the Division of Molecular & Cellular Function at the University of Manchester. His research focuses on understanding how growth factor receptors are regulated through membrane trafficking pathways, particularly the role of endosomes and lysosomes in signaling termination and disease. He leads projects investigating the molecular mechanisms of receptor downregulation, endosomal sorting, and the interplay between endosome motility and signaling. His work contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through studies on cancer and cellular dysfunction. Key research areas include epidermal growth factor receptor (EGFR) trafficking, ubiquitination-driven sorting, and the role of motor proteins like dynein in endosomal dynamics. Collaborative projects include studies on cellular dynamics and compartmentalisation, protein function via mass spectrometry, and TGF-beta activation pathways. He has supervised 11 research students and holds grants focused on membrane trafficking mechanisms and their biomedical applications. Education: BSc, PhD (specific institutions not listed) ORCID: 0000-0001-9497-1235 His lab explores how endosomal sorting ensures proper receptor degradation versus recycling, with implications for cancer therapy and viral infection. Recent work highlights ESCRT machinery, LINC complex interactions, and the spatial regulation of signaling pathways via endosome motility.

• Modal Logic
• Coalgebra
• Automated Reasoning
• +3 more

Prof Dirk Pattinson is a Professor in the School of Computing at Australian National University (ANU). His research focuses on modal logic, coalgebraic systems, automated reasoning, and formal methods. He holds a PhD in Computer Science and has supervised numerous research students. Research interests include coalgebraic logic, non-classical modal logics, automated theorem proving, and applications in computational social choice. His work bridges theoretical foundations with practical tools like the COOL reasoner for modal fixpoint logics. Notable contributions span over 70 peer-reviewed publications since 2008, with recent work on non-iterative modal resolution calculi (2024), Hennessy-Milner properties via topological methods (2022), and formal verification of voting systems (2021). His research often integrates algebraic, categorical, and coalgebraic perspectives.

Reidar B. BratvoldView profile

Visiting Professor

• Decision Analysis
• Project Valuation
• Portfolio Analysis
• +7 more

Reidar B. Bratvold is a Visiting Professor at the University of Stavanger and Norwegian Institute of Technology. His research focuses on decision analysis, project valuation, and reservoir management, integrating machine learning and stochastic modeling. He has extensive industry experience, including roles as Vice President at Landmark Graphics and Managing Director at Roxar. Bratvold holds a PhD in Petroleum Engineering and an MSc in Mathematics from Stanford University, complemented by management education from INSEAD. His work emphasizes decision quality, addressing behavioral biases and uncertainty in energy investments. Notable contributions include frameworks for geosteering optimization and real-options valuation. He has authored numerous papers and books, including Making Good Decisions , and received awards such as the 2024 Energy Professional of the Year and 2017 SPE Management & Information Award. Bratvold’s research bridges academia and industry, promoting systematic decision-making methodologies. Awards: Energy Professional of the Year (2024) SPE Management & Information Award (2017) Three-time SPE Distinguished Lecturer Key Contributions: Machine learning in geosteering Value-of-information analysis Real-options valuation for oil projects His recent work explores reinforcement learning for decision-making and Bayesian methods for production optimization. Bratvold’s interdisciplinary approach combines petroleum engineering, economics, and data science to enhance industry decision-making.

• Discrete Optimization
• Non-Convex Optimization
• Operational Research
• +3 more

Akshay Gupte is a Professor in the School of Mathematics at the University of Edinburgh, specializing in Optimization and Operational Research. His research focuses on mathematical and algorithmic aspects of discrete and non-convex optimization, with applications in engineering, finance, and decision-making systems. He holds a PhD in Operational Research from Georgia Tech and teaches advanced courses such as Optimization Methods in Finance for MSc students. Education: BEng in Industrial Engineering from the University of Bombay MSc in Operational Research from the University of Arizona PhD in Operational Research from Georgia Tech Research Interests: Optimization problems involving discrete choices and non-convexity, with a focus on algorithm design and computational strategies. His work bridges applied mathematics, computer science, and engineering, addressing challenges in logistics, finance, and large-scale decision systems. Articles Trends: Recent publications emphasize algorithmic advancements in non-convex optimization (e.g., spatial branch-and-bound, semidefinite programming), multi-objective decision-making (e.g., biobjective programming), and stochastic frameworks for real-world problems like facility location and home service scheduling. Awards & Grants: No specific awards listed, but his research has been supported by collaborative grants in mixed-integer programming and optimization algorithms. He advises students through his teaching and research collaborations within the Optimization Group at the University of Edinburgh.

• Neuroscience
• Stem Cell Research
• Neurogenesis
• +5 more

Prof. Dr. Magdalena Götz is the Director of the Institute of Stem Cell Research at Helmholtz Center Munich and a Professor of Physiological Genomics at Ludwig Maximilian University Munich. Her research focuses on neurogenesis, neural stem cells, and direct neuronal reprogramming of glial cells for brain repair. Education : Dr.rer.nat at Friedrich-Miescher Institute of the Max-Planck Society (1992) Postdoc : National Institute for Medical Research, London (1993-1996) Her research interests span mechanisms of neural stem cell identity, brain development, and reprogramming strategies to convert glia into neurons with up to 90% efficiency in vivo. She pioneered direct neuronal reprogramming prior to induced pluripotent stem cells and discovered key factors like Akna and Hmgb2. Her scientific awards include: Gottfried Wilhelm Leibniz Prize (2007) Advanced ERC Grant (2014, 2020) Roger de Spoelberch Prize (2017) Her recent publications highlight epigenetic remodeling during reprogramming, glial cell heterogeneity, and mitochondrial proteome contributions. These studies, spanning Nature Neuroscience , Science , and Nature Communications , underpin therapeutic strategies for neurodegenerative diseases. She leads the Stem Cell Center at Helmholtz and collaborates with networks like NSC Reconstruct, Synergy, TRR274, and SPP Ferroptosis.

Adrien BilalView profile

Assistant Professor

• Macroeconomics
• Environmental Economics
• Spatial Economics
• +3 more

Adrien Bilal is an Assistant Professor of Economics at Stanford University , specializing in Macroeconomics with emphasis on Environmental Economics, Spatial Economics , and Labor Market Dynamics . He was awarded the 2024 Excellence Award in Global Economic Affairs by the Kiel Institute for the World Economy for his climate change research. Primary Affiliation : Stanford University, Department of Economics Awards : Kiel Institute Excellence Award, NSF Grant His research bridges climate science with macroeconomic modeling, focusing on: Global warming's economic impacts Regional unemployment patterns Heterogeneous agent model solutions Outsourcing's labor market effects Recent publications examine climate change (in Quarterly Journal of Economics ), unilateral decarbonization (with Diego Känzig in AEA Papers and Proceedings ), and continuous-time sequence-space methods (with Shlok Goyal). Media coverage includes The Economist , Nature , and Le Monde . Scientific Awards: 2024 Kiel Institute Excellence Award in Global Economic Affairs 2024 NBER Working Paper Series (multiple) He maintains active collaborations with institutions like: National Bureau of Economic Research (NBER) Kiel Institute for the World Economy Harvard University Northwestern University

Robert FrenchView profile

Research Fellow

• Urban Economics
• Public Policy
• Housing Policy
• +3 more

Robert French is a Postdoctoral Fellow at the University of Chicago’s Harris School of Public Policy and Mansueto Institute for Urban Innovation (2024-2025). In August 2025, he will join Loyola Marymount University as an Assistant Professor of Economics. He holds a Ph.D. in Public Policy from Harvard University (2024), and a B.A. and M.A. in Economics from the University of Toronto. His research focuses on urban and public economics, examining neighborhood sorting, spatial inequality, housing affordability, and welfare impacts of gentrification on low-income households. Education: Ph.D. in Public Policy, Harvard University, 2024 M.A. in Economics, University of Toronto B.A. in Economics, University of Toronto Research Interests: French’s work bridges urban economics and public policy, with a focus on how spatial and policy interventions affect low-income households. His recent papers investigate gentrification welfare impacts, suburban housing vacancy chains, and optimal urban policies for economic mobility. He employs structural models and administrative data to analyze neighborhood dynamics, emphasizing spatial inequality and behavioral barriers in policy design. Awards: Best Paper on Housing by a Doctoral Student (2023, Joint Center for Housing Studies) Best Junior Paper Submitted for the 2024 AREUEA National Conference Teaching & Future Work: French has taught at Harvard Kennedy School (PhD Micro Theory) and Harvard College (Intermediate Micro Theory). His upcoming role at Loyola Marymount underscores his commitment to urban innovation and policy. Ongoing projects explore behavioral aspects of neighborhood choice and the geographic distribution of policy benefits.