Find Academic Supervisors

• Biochemistry
• Molecular Biology
• Protein Aggregation
• +7 more

Emily Lavering is an Assistant Professor of Chemistry and Biochemistry in the Department of Natural Sciences at the College of Innovation and Technology, University of Michigan-Flint. She is actively engaged in research and teaching, with a strong focus on molecular and cellular biochemistry. Her work integrates experimental and analytical approaches to study protein organization, antimicrobial agents, and bacteriophage applications. Education: Ph.D. in Biochemistry and Molecular Biology, University of Iowa, 2023 Her research interests span protein aggregation , nucleolar organization , antimicrobial compound evaluation , and bacteriophage genomics . She uses model systems like Xenopus laevis oocytes and bacterial biofilms to investigate fundamental cellular mechanisms and potential therapeutic interventions. Her lab explores both basic molecular processes and applied microbiology, particularly in the context of oral pathogens such as Streptococcus mutans . The recent publications highlight a consistent trajectory in understanding protein localization and modification, with an emerging emphasis on translational microbiology. Her 2023 work in PLOS Biology challenged assumptions about intrinsically disordered regions in nucleolar targeting, while her contributions to bacteriophage genomics open new avenues for phage therapy. Scientific Awards: Subramanian Thesis Award (2025), University of Iowa Dr. Lavering is actively mentoring students and securing competitive funding. She serves as PI on a Research and Creative Activity (RCA) grant focused on bacteriophage discovery and biofilm roles in Streptococcus mutans , and as CoPI on a SURE grant evaluating hexocannabitriol analogs. Students such as Brookyln Dean, Abigail Ortman, and Jacqueline Perry have presented research under her guidance. She also contributes to academic discourse through invited seminars, including a 2025 talk titled Protein Aggregation: Friend or Foe . Her research is conducted within the Chemistry and Biochemistry program at UM-Flint, where she leads a dynamic team focused on interdisciplinary biochemical inquiry, bridging basic science with potential biomedical applications.

• Cybersecurity
• Wireless Network Security
• Cryptographic Protocol Analysis
• +3 more

Mathy Vanhoef is an Assistant Professor at the Faculty of Engineering Science of KU Leuven , affiliated with the Distributed and Secure Software (DistriNet) group and involved in multiple cybersecurity councils. His research focuses on wireless protocol vulnerabilities, particularly Wi-Fi security flaws in modern standards like WPA2 and WPA3. He has led significant projects on network protocol analysis and security mitigation strategies. Research Interests: Exploiting design flaws in wireless protocols Side-channel attack mechanisms Network stack security analysis Cryptographic protocol weaknesses Man-in-the-middle attack prevention Scientific Contributions: Discovered fundamental Wi-Fi vulnerabilities (FragAttacks) Exposed critical flaws in Cloudflare WARP and WPA3 implementations Developed testing tools for wireless protocol security Teaching: Vanhoef teaches courses including Introduction to ICT Security , CyberSecurity Basics , and Security Through the Software Lifecycle . He is actively involved in cybersecurity education and research at KU Leuven.

Amir AmeliView profile

Assistant Professor

• Cyber-Physical Systems
• Power System Cyber-Security
• Power System Protection
• +3 more

Amir Ameli is an Assistant Professor in the Department of Electrical & Computer Engineering at Lakehead University. His research focuses on cyber-physical systems, specifically cybersecurity, protection, and operation of power networks. He aims to develop strategies to secure modernizing power grids against cyber-attacks and improve protection schemes. Education: BSc in Electrical Engineering (Power Systems), Iran University of Science and Technology MSc in Electrical Engineering (Power Systems), Sharif University of Technology PhD in Electrical Engineering (Power Systems), University of Waterloo Research Interests: Cybersecurity of power systems Power system protection Smart grids and renewable energy integration Resilience against cyber-attacks Recent work emphasizes detection and mitigation of false data injection attacks in power grids, vehicle platoons, and wide-area measurement systems. His publications span machine learning-driven optimization, state estimation, and adaptive control techniques. No scientific awards are listed. Advising and grants sections remain unpopulated in the provided data.

Serge GaspersView profile

Professor

• Algorithms and complexity
• Graph algorithms
• Quantum algorithms
• +8 more

Professor Serge Gaspers is a faculty member in the School of Computer Science and Engineering at the University of New South Wales (UNSW), specializing in algorithms for computationally intractable problems. His research focuses on parameterized algorithms, quantum algorithms, and graph theory, with applications in computational social choice and constraint satisfaction. He joined UNSW in 2012 as an ARC DECRA Fellow and later held an ARC Future Fellowship. Gaspers obtained his PhD from the University of Bergen (Norway) in 2008, followed by postdoctoral positions in Montpellier, Santiago, and Vienna. His research interests include algorithms for NP-hard problems, quantum computing, and fair resource allocation. He has been awarded grants totaling over A$2 million, including an ARC Discovery Project (DP210103849) on improved algorithms via random sampling and collaborations with Data61/CSIRO and NICTA. Notable awards include the ARC Future Fellowship (2014), IJCAI 2013 Most Educational Video Award, and DECRA (2012). Teaching: Gaspers teaches COMP6741 - Algorithms for Intractable Problems . His advising spans parameterized algorithms, quantum algorithms, and graph algorithms. Research grants highlight his work in algorithms, with a focus on turbocharging heuristics and computational complexity of resource allocation problems.

• Materials Modelling
• Micro-mechanics
• Voronoi Tessellation
• +1 more

Dr. Pan Zhang is a Researcher at the Department of Mechanical Engineering, Imperial College London, specializing in materials modeling and micro-mechanics. His work focuses on crystal plasticity modeling, particularly the generation of microstructures for polycrystalline materials to support finite element analysis. He holds a BSc and MSc in Control Engineering and a PhD in Mechanical Engineering. Research interests include Voronoi tessellation applications, optimization using evolutionary algorithms, and material behavior under extreme conditions. His contributions span computational geometry, composite materials, and supply chain environmental impact analysis. Publications highlight advancements in grain structure simulation, cryptographic integration in embedded systems, and cloud-based privacy-preserving techniques. Collaborations include projects with Professors Liliang Wang and Daniel Balint, though he is not directly listed as a supervisor for the mentioned PhD studentships. No scientific awards are explicitly stated, but his work demonstrates expertise in interdisciplinary engineering and computational methods.

Nicolas CrouzetView profile

Associate Professor

• Corporate Finance
• Macroeconomics
• Intangibles
• +5 more

Nicolas Crouzet is an Associate Professor of Finance at the Kellogg School of Management, Northwestern University since 2014 (tenured since 2018). He holds a B.Sc. in Applied Mathematics from École Polytechnique (2008) and a Ph.D. in Economics from Columbia University (2014). His research focuses on corporate finance, macroeconomics, and the role of intangible capital in shaping investment decisions and economic outcomes. Education Ph.D., Economics, Columbia University, 2014 M.A., Economics, Columbia University, 2010 B.Sc., Applied Mathematics, École Polytechnique, 2008 Research Interests Corporate Investment and Financing Intangible Capital and Firm Valuation Macroeconomic Policy and Business Cycles Technology Adoption and Diffusion Debt Flexibility and Credit Markets Recent Research Trends His work emphasizes the interplay between intangible assets (e.g., R&D, intellectual property) and corporate behavior, with implications for productivity, market structure, and policy. Key themes include the impact of demographic shifts on technology adoption and the macroeconomic effects of corporate debt choices. Awards Dimensional Fund Advisors Prize (2023) Best Paper Award, Midwest Finance Meetings (2021) Wueller Teaching Award, Columbia University (2011) Teaching & Grants Teaches macroeconomics and finance courses at the MBA and executive levels. Active in securing research funding, including collaborations with institutions like the World Intellectual Property Organization. Serves as an Associate Editor for the Review of Financial Studies (2024).

Cecilia ClementiView profile

Professor

• Computational Chemistry
• Biophysics
• Molecular Dynamics
• +11 more

Cecilia Clementi is a Professor of Chemistry at Rice University and an Einstein Visiting Professor at Freie Universität Berlin. Her work bridges computational chemistry, biophysics, and machine learning to advance molecular dynamics and protein folding research. PhD in Physics, International School for Advanced Studies (SISSA), Trieste, Italy Bachelor and Master in Physics, University of Florence and SISSA, Italy Clementi specializes in developing data-driven methods for molecular simulations, including coarse-grained modeling and nonlinear dimensionality reduction. Her research focuses on understanding protein folding mechanisms and free energy landscapes through integrative computational approaches. Notable contributions include applying machine learning to molecular dynamics force fields, creating augmented Markov models for experimental-data integration, and pioneering diffusion-map-based techniques for reaction coordinate identification. Her work has transformed how researchers model complex biomolecular processes. NSF-CAREER award (2004-2009) Welch Foundation Norman Hackerman Award (2009) Hamill Innovation Award (2007, 2014) Einstein Visiting Fellowship (2016-2019) NSF-funded Molecular Sciences Software Institute (MolSSI) co-Director (2016-present) Clementi has secured significant grants, including the NSF-CAREER award and Welch Foundation funding. Her editorial roles include associate editorship at the Journal of Chemical Theory and Computation , and she actively serves on scientific advisory boards like IPAM. Her publications highlight interdisciplinary collaborations merging chemistry, physics, and computational science.

Ke YiView profile

Professor

• Database theory and systems
• Query processing
• Data security and privacy
• +7 more

Ke Yi is a Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), where he also serves as Director of the MSc Program in Big Data Technology. His research spans database theory and systems, query processing, data security and privacy, parallel and distributed algorithms, and computational geometry, with a focus on bridging theoretical guarantees with practical implementations. Dr. Yi earned his B.Eng. in Computer Science and Technology from Tsinghua University (1997-2001) and his Ph.D. in Computer Science from Duke University (2001-2006), advised by Professors Pankaj K. Agarwal and Lars Arge. Before joining HKUST in 2007, he was a Research Specialist at AT&T Labs-Research (2006-2007). His research interests center on database theory and systems with particular emphasis on query processing techniques, data security and privacy mechanisms, and efficient algorithms for big data. Yi's work consistently demonstrates the rich interdependence between theoretical foundations and practical implementations, favoring simple algorithms with elegant analyses that provide valuable insights for real-world applications. His research group has developed several notable system prototypes including Quorion (query optimization), DPSQL (differentially private SQL), SparkSQL+ (next-generation query planning), SecYan (secure query processing), CROWN/Cquirrel (continuous query processing), and XDB (online aggregation). Yi's publication record shows a clear evolution toward privacy-preserving database technologies, particularly differential privacy, with an increasing focus on practical implementations that maintain theoretical guarantees. His recent work has centered on query processing under differential privacy, secure multi-party computation for databases, and efficient algorithms for big data analytics, demonstrating consistent contributions to both theoretical foundations and practical systems. ACM SIGMOD Best Paper Award (2016, 2022) ACM PODS Test-of-Time Award (2022) ACM Distinguished Member (2021) Multiple ACM SIGMOD Best Paper Honorable Mentions Google Faculty Research Award (2010) HKUST School of Engineering Young Investigator Research Award (2012) Professor Yi has supervised numerous Ph.D. and MPhil students, many of whom have gone on to prestigious academic and industry positions at institutions including Nanyang Technological University, University of Waterloo, EPFL, Alibaba Cloud, and Google. His research has been generously supported by Hong Kong RGC, Alibaba, Huawei, ByteDance, Microsoft, and Google. In addition to his research leadership, Yi has made significant contributions to the academic community through editorial roles (ACM TODS, IEEE TKDE), program committee chairs (PODS 2026, ICDT 2021), and numerous service roles in top database conferences. His laboratory, the HKUST Database Lab (hkustDB), has become a leading center for database research in Asia, developing innovative prototypes that bridge theoretical database research with practical implementations. The lab maintains active GitHub repositories for their open-source projects and collaborates extensively with both academic and industry partners worldwide.

Andrew RobinsonView profile

Professor

• Biosecurity Risk Analysis
• Statistical Modeling
• Forest Analytics
• +7 more

Andrew Robinson is a Professor at The University of Melbourne, holding dual appointments in the School of BioSciences and the School of Mathematics and Statistics. As Director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), he leads research on statistical and risk analysis for biosecurity threats, funded by Australian and New Zealand governments. His work bridges computational tools and natural resource management, with a focus on R programming and data-driven decision-making. Co-authored 4 influential books on R programming and biosecurity Developed icebreakeR, a popular R education resource Conducts workshops for scientists and policymakers Robinson's research spans biosecurity risk modeling, invasive species management, and statistical applications in forestry. His recent work emphasizes climate change impacts on agricultural yields, adaptive sampling strategies, and Indigenous leadership in biosecurity. He maintains active collaborations in data analytics and policy development. Selected Research Trends: Current projects focus on quantitative risk prioritization, climate change adaptation, and automated surveillance systems. Key subfields include computational biosecurity, stochastic modeling, and cross-jurisdictional policy frameworks. Robinson's laboratory, CEBRA, integrates multidisciplinary approaches to biosecurity challenges. His publications demonstrate expertise in statistical ecology, risk analytics, and policy simulation. He continues to develop R-based tools for practical applications in natural resources and biosecurity.

Dov KrugerView profile

Teaching Professor

• High Performance Computing
• Network Programming
• 3D Printing
• +3 more

Dov Kruger is an Associate Teaching Professor in the Department of Electrical Engineering at Rutgers University. He holds a BE in Electrical Engineering, an MS in Computer Science, and a PhD in Ocean Engineering, all from Stevens Institute of Technology. Prior to Rutgers, he spent 10 years as a professor at Stevens. His research focuses on high-performance computing, network programming, 3D printing, and computing education. He explores re-engineering software for efficiency, distributed programming models, and innovations in data compression and secure networking. His work also encompasses underwater acoustics and sensor systems from earlier career phases. Key themes in his recent articles include real-time video processing, federated learning privacy, AI bias mitigation, and blockchain-based systems. His earlier contributions involved underwater robotics and environmental sensor networks in estuaries. Dr. Kruger seeks collaborators in FPGA, network programming, and 3D printing. He has no listed scientific awards but maintains active research in multidisciplinary computer science and engineering education.

• Soil Science
• Environmental Science
• Environmental Virology
• +14 more

Professor Davey L. Jones is a leading academic at Bangor University , holding a Professorial Chair in Soil and Environmental Science and serving as Associate Pro Vice-Chancellor for Research. He is affiliated with the School of Natural and Environmental Sciences (SENS) and leads impactful research in environmental virology, antimicrobial resistance, microplastics, and nutrient cycling. His research spans natural and social sciences, focusing on: Wastewater-based public health surveillance Soil-plant-microbe interactions Carbon and nitrogen cycling Microplastic pollution Greenhouse gas emissions Sustainable agriculture His recent publications (2024–2025) reflect a strong trend toward: Wastewater epidemiology and viral detection Microplastic behavior in soil and water Nutrient management and soil health AMR monitoring Climate-smart agriculture Methodological advances in environmental monitoring Scientific Awards: NERC Impact Award (2023) Queen's Anniversary Prize (2023) ISI Highly Cited Researcher (2018–2024) Institute of Water Awards (2022–2023) He has supervised over 30 PhD and Master’s students from across the globe and secured major funding from UKRI, Welsh Government, DEFRA, and the EU. He leads the Wastewater-based Public Health Surveillance Programme for Wales and collaborates with industry (e.g., Verily Life Sciences) and governmental bodies (SAGE, Welsh TAG-E). His research is highly translational, influencing policy on climate change, public health, and agriculture. He leads or participates in multiple research teams and labs, including the Centre for Environmental Biotechnology and the STARS Soil Science PhD Training Programme. His work is supported by an ISO17025-accredited commercial laboratory in partnership with Verily.

Sachin ShettyView profile

Professor

• Computer Networking
• Network Security
• Machine Learning
• +7 more

Sachin Shetty is a Professor and Executive Director of the Center for Secure and Intelligent Critical Systems at Old Dominion University. His research spans computer networking , network security , and machine learning , with a focus on blockchain and IoT security. He has led large-scale projects funded by the National Science Foundation , Air Force Research Lab , and Boeing . Education : Ph.D. in Modeling and Simulation (Old Dominion University, 2007), M.S. in Computer Science (University of Toledo, 2002), B.S. in Computer Engineering (Mumbai University, 1998) His research interests include Blockchain for secure data provenance Cyber risk management frameworks 5G and IoT security architectures Cyber deception and game theory His recent articles focus on blockchain integration with cloud computing, cyber-resilient IoT systems, and AI-driven security protocols. Scientific awards include: Commonwealth Cyber Initiative Fellow EPRI Cybersecurity Challenge winner DHS Scientific Leadership Award Fulbright Specialist IEEE Senior Member He supervises students and postdoctoral researchers in his cybersecurity lab, which has secured over $18 million in grants.

Thanos E GoltsosView profile

Senior Lecturer

• Operations Management
• Forecasting
• Inventory Control
• +11 more

Dr Thanos E Goltsos is a Senior Lecturer (Associate Professor) in Management Science at Cardiff Business School, Cardiff University. His academic work bridges operations management, forecasting, and inventory control, with a strong emphasis on reverse logistics and the circular economy. He holds a PhD in Operational Research from Athens University of Economics and Business, an MSc in Business Analysis and Management from Loughborough University, and an MEng in Mechanical Engineering from Aristotle University of Thessaloniki. Education: PhD in Operational Research, Athens University of Economics and Business MSc in Business Analysis and Management (with honours), Loughborough University MEng in Mechanical Engineering and Industrial Management, Aristotle University of Thessaloniki High School (Pierce College, American College of Greece) His research focuses on statistical and judgmental forecasting, inventory control, intermittent demand, and decision support systems, particularly in remanufacturing and circular economy contexts. He applies simulation and optimization techniques to improve supply chain performance under uncertainty. The recent publications highlight a strong trend toward integrating forecasting and inventory systems, analyzing temporal aggregation methods, and modeling complex dynamics in reverse supply chains. His 2024 work extends into healthcare with machine learning-based forecasting of pandemic admissions, demonstrating cross-domain applicability of his methodologies. Scientific Awards: Cardiff University Innovation and Impact Award (2015) – ASTUTE Project Cardiff University Innovation and Impact Award (2019) – Qioptiq KTP Dr Goltsos has secured and contributed to externally funded projects, including a Knowledge Transfer Partnership with QIOPTIQ Ltd co-funded by EPSRC and Innovate UK. He has advised on and developed bespoke forecasting and inventory solutions for industrial applications. He is also actively involved in supervising PhD research in forecasting, inventory management, and circular economy strategies. He is affiliated with the Logistics and Operations Management Section at Cardiff Business School and has collaborated extensively with industry partners, contributing to impactful, applied research. His work is supported by professional memberships in the International Institute of Forecasters and the Technical Chamber of Greece.

• Sociology of Work
• Sociology of Organizations
• Human Resource Management
• +12 more

Paulo Pereira de Almeida is an Assistant Professor at the School of Sociology and Public Policy (ESPP), University Institute of Lisbon (ISCTE-IUL), and a researcher at the Center for Research and Studies in Sociology (CIES-IUL). He is affiliated with the Department of Sociology and holds an Aggregation in Sociology with emphasis in Human Resources. He coordinates the postgraduate program in Trade Unionism and Labor Relations, demonstrating academic leadership and engagement in labor studies. Academic Background: Aggregation in Sociology (Human Resources), IUL - Lisbon University Institute, 2010 Postgraduate Program in Management, NOVA University Lisbon, 2008 PhD in Sociology (Human Resources), IUL - Lisbon University Institute, 2003 His research focuses on the Sociology of Work and Organizations , Human Resource Management , Organizational Behavior , Labor Relations , and Public Security . He has extensively studied the 'servicelization' of labor and the transformation of work in modern economies. His work bridges theoretical sociology with practical applications in public policy and organizational management. He has contributed to debates on competence models, job performance, and innovation in public services. The analysis of his recent publications reveals a consistent focus on the evolution of work in service-based economies, the impact of technology on labor, and the sociological dimensions of organizational change. His articles span journals such as Portuguese Journal of Social Science , Sociology, Problems and Practices , and Sociedade e Trabalho , indicating a strong national and international academic presence. Scientific Awards: Organizational Innovation Award 2004 Paulo Pereira de Almeida has been actively involved in academic guidance, particularly through his coordination of postgraduate programs. While specific student names are not listed, his role implies mentorship of graduate students in labor relations and sociology. He has not received public grants mentioned in the text, but his sustained publication output and leadership in academic programs suggest ongoing research activity. He has also contributed to public discourse as a columnist for Diário de Notícias , Jornal de Notícias , Expresso , and Público . He is affiliated with CIES-IUL, a prominent research center in social sciences, where he contributes to collective research projects in sociology and public policy. His work often intersects with policy development, particularly in crime prevention and labor reform.

• Political Economy
• Sustainability
• Territorial Development
• +8 more

Maria de Fátima Ferreiro is a Full Professor in the Department of Political Economy at Iscte - University Institute of Lisbon, where she also serves as Vice-Rector for Teaching and Accreditations and Director of the PhD program in Transitions to Sustainability. She is an integrated researcher at CEI-Iscte - Center for International Studies, contributing to the research group 'Sustainable Societies'. Academic Qualifications: Aggregation (Habilitation) in Economy, Iscte - University Institute of Lisbon (2020) PhD in Economy, Iscte - University Institute of Lisbon (2005) Master's degree in Economics and Social Policy, Higher Institute of Economics and Management - UTL (1997) Bachelor's degree in Sociology, Iscte - University Institute of Lisbon (1991) Her research interests lie at the intersection of political economy, sustainability, and territorial development, with a strong focus on social and solidarity economy, innovation, and resilience in socio-ecological systems. She has led and participated in numerous national and international research projects funded by the European Commission (Horizon Europe, H2020) and national agencies (FCT), addressing themes such as sustainable cities (InCITIES), social entrepreneurship (iNSPIRE, RURACTION), resilient food systems (CERERE), and territorial planning (SPLACH, PERIURBAN). Her recent scientific work, as reflected in her involvement in current projects, demonstrates a consistent trajectory toward interdisciplinary, policy-relevant research on sustainability transitions, social innovation, and inclusive development, particularly in Mediterranean and rural contexts. Her leadership in projects like CERERE and InCITIES highlights her focus on building resilient and equitable systems in the face of global challenges. Scientific Awards: No specific awards listed in the provided text. Advising and Grants: Maria de Fátima Ferreiro is an active doctoral and master's supervisor, with 8 doctoral theses (4 in progress, 4 completed) and 55 master's dissertations (6 in progress, 49 completed) under her guidance. Her advisees' work covers topics such as seed sovereignty, social impact measurement, organic agriculture, rural social economy, and food security. She has secured and led multiple competitive research grants, including EU-funded projects like InCITIES (Horizon Europe), iNSPIRE, RURACTION (H2020), and national projects such as PERIURBAN and EMPREENDEDORISMO SOCIAL, demonstrating sustained success in research funding. Labs and Teams: She is an integrated researcher at CEI-Iscte (Center for International Studies) and has been closely associated with DINAMIA'CET-Iscte, a research center focused on dynamics of change in economy, territory, and society. She leads or contributes to interdisciplinary research teams in projects like CERERE, IN_Iscte, InCITIES, and iNSPIRE, collaborating with national and international academic and non-academic partners.