Find Academic Supervisors

• Materials Science
• Chemical Engineering
• Adsorption Technology
• +3 more

Andrey Bezrukov is a Research Professor in the Department of Chemical Sciences at the University of Limerick. His research focuses on advanced materials, particularly metal-organic frameworks (MOFs) and their applications in gas separation, carbon capture, and water harvesting. He leads projects exploring structural flexibility, phase transformations, and adsorption mechanisms in porous materials. His work bridges fundamental chemistry with practical environmental and industrial challenges. Key research interests include: Carbon Dioxide Capture, Ultramicroporous Engineering, Adsorption Dynamics, Chiral Separation, and Sustainable Materials. His studies often involve structural characterization (X-ray, crystallography) and computational modeling to understand material behavior under varying conditions. Recent work highlights include developing dual-purpose water vapor sorbents, optimizing MOFs for C₂H₂/CO₂ separation, and creating chiral crystalline sponges for enantiomeric separation. Collaborations span global institutions, emphasizing materials for environmental sustainability. Over 40 peer-reviewed articles since 2010 reflect his contributions to Materials Science and Chemical Engineering. His research has been featured in prestigious journals like Journal of the American Chemical Society and Advanced Materials . No scientific awards are explicitly listed. Advising details are not provided in the text.

Anuran MakurView profile

Assistant Professor

• Machine Learning Theory
• Information Theory
• Applied Probability
• +4 more

Anuran Makur is an active Assistant Professor at Purdue University with dual appointments in the Department of Computer Science (College of Science) and the Elmore Family School of Electrical and Computer Engineering (College of Engineering). He is affiliated with the Institute for Control, Optimization and Networks (ICON) and teaches foundational courses in machine learning and data science. His educational background includes a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley (2013, summa cum laude), an S.M. in Electrical Engineering and Computer Science from MIT (2015), and a Sc.D. from MIT (2019). B.S., UC Berkeley, 2013 S.M., MIT, 2015 Sc.D., MIT, 2019 Makur's research bridges theoretical machine learning, information theory, and applied probability. Key interests include ranking/preference learning, optimization for ML, non-parametric inference, information measures, permutation channel limits, broadcasting on graphs, and reliable computation. His work emphasizes fundamental theoretical limits and mathematical rigor in complex systems. Recent publications reveal strong trends in statistical learning theory (40%), information-theoretic methods (35%), and networked systems (25%), with growing emphasis on privacy-aware inference and high-dimensional statistics. His scientific achievements are recognized by prestigious awards: Arthur M. Hopkin Award (UC Berkeley, 2013) Ernst A. Guillemin Master's Thesis Award (MIT, 2015) Jin Au Kong Doctoral Thesis Award (MIT, 2020) Thomas M. Cover Dissertation Award (IEEE, 2021) NSF CAREER Award (2023) While specific advising details aren't public, his research leadership is evident through ICON affiliation and collaborations with MIT's LIDS/IDSS groups. The NSF CAREER grant supports his work on information-theoretic foundations of machine learning. He maintains active roles in theoretical computer science and information theory communities through conference organization and editorial work. Makur leads research within ICON, focusing on control-theoretic approaches to networked learning systems. His work integrates probabilistic modeling with optimization theory, particularly for distributed inference and networked decision-making under uncertainty.

Zhenxing FengView profile

Associate Professor

• Energy Storage Systems
• Electrochemical Energy Conversion
• Catalysis
• +5 more

Zhenxing Feng is an Associate Professor in the School of Chemical, Biological, and Environmental Engineering at Oregon State University (OSU). He leads the Feng Research Group, focusing on energy storage and conversion systems, including lithium-ion batteries, aqueous metal-ion batteries, fuel cells, and electrocatalysts for water splitting and CO₂ reduction. His work integrates advanced synchrotron X-ray techniques for in situ, time-resolved studies of material behavior under operational conditions. Education: Ph.D. in Materials Science and Engineering, Northwestern University (2011) M.S. in Physics, McGill University (2006) B.S. in Physics, Peking University (2004) His research interests span thin film synthesis, electrochemical testing, and advanced X-ray characterization techniques such as surface X-ray diffraction, X-ray absorption spectroscopy, and imaging. He has received notable awards, including the 2023 ONR Summer Fellowship and the 2021 Action Research Scholar award. His group actively explores novel materials for sustainable energy systems and has published extensively on topics like solid-state battery interfaces and atomically dispersed catalysts. Recent projects include developing durable aqueous sodium-ion batteries, improving oxygen evolution reaction (OER) catalysts, and studying interfacial processes in energy storage devices using synchrotron-based methods. He mentors graduate and undergraduate students in experimental and theoretical aspects of materials science and electrochemistry. Feng collaborates with institutions like Argonne National Laboratory and MIT, contributing to initiatives in renewable hydrogen and energy storage. His lab emphasizes interdisciplinary approaches, combining computational modeling, synthesis, and advanced characterization to innovate in sustainable energy technologies.

Ana DyresonView profile

Assistant Professor

• Renewable Energy Systems
• Climate Change Mitigation in Energy Systems
• Electric Power Systems
• +5 more

Ana Dyreson is an Assistant Professor in Mechanical and Aerospace Engineering at Michigan Technological University and Associate Research Director at the Center for Innovation in Sustainability & Resilience (CISR). She leads the Great Lakes Energy Group, focusing on climate change impacts on electric power systems , energy transitions in cold climates , and thermal power plant modeling . Her work bridges solar photovoltaic design , electricity grid operational modeling , and the energy-water nexus . Education : PhD in Mechanical Engineering, University of Wisconsin–Madison (2018) MS in Mechanical Engineering, Northern Arizona University (2014) BS in Engineering Mechanics, University of Wisconsin–Madison (2011) Research emphasizes climate-resilient energy systems , particularly solar energy in cold climates and grid-scale modeling . Her 2025-2022 publications investigate snow mitigation on PV panels , heat pump adoption , floating solar-hydropower hybrids , and climate stressor impacts on thermoelectric plants . She develops inclusive teaching methods and advises on renewable energy deployment through initiatives like the Tech Forward Initiative on Sustainability and Resilience . Her team collaborates on multisector dynamics and energy-water-climate research in the Great Lakes region.

Bernd SturmfelsView profile

Professor

• Algebraic Geometry
• Combinatorics
• Commutative Algebra
• +4 more

Bernd Sturmfels is a leading mathematician serving as Director of the Max Planck Institute for Mathematics in the Sciences in Leipzig since 2017. He is also Professor Emeritus of Mathematics, Statistics, and Computer Science at the University of California, Berkeley, and holds honorary professorships at the Technical University of Berlin and the University of Leipzig. His research bridges pure and applied mathematics, with foundational contributions to algebraic geometry, combinatorics, and computational biology. Education: Sturmfels earned dual Ph.D. degrees in 1987 from the University of Washington and Technische Universität Darmstadt, followed by an honorary doctorate from Goethe University Frankfurt in 2015 and additional honorary doctorates from the University of Bern (2023) and the University of Chicago (2024). Research Interests: His work spans algebraic geometry , combinatorics , commutative algebra , algebraic statistics , convex optimization , and computational biology . He explores deep connections between abstract algebraic structures and practical applications in statistics, optimization, and the life sciences. Publications and Trends: With over 300 research articles and 11 books, his recent work (2022–2025) focuses on advanced topics like Grassmannian geometry, tropical implicitization, quantum chemistry applications, and algebraic statistics. His research increasingly integrates computational methods with theoretical insights, addressing problems in machine learning, phylogenetics, and optimization. Awards and Honors: Sturmfels has received numerous prestigious awards, including: George David Birkhoff Prize in Applied Mathematics (2018) SIAM von Neumann Lecturership (2010) Humboldt Senior Research Prize (2007–2008) David and Lucile Packard Fellowship (1992–1997) Fellowships of the AMS and SIAM Membership in the Berlin-Brandenburg Academy of Sciences and Humanities Mentoring and Grants: He has supervised 60 doctoral students and numerous postdocs, with many securing positions at leading institutions. His mentoring philosophy emphasizes diversity and excellence, as highlighted in his Notices of the AMS article. Funding sources include the NSF, DARPA, and the German National Science Foundation (DFG). Labs and Teams: At the Max Planck Institute, he leads the Nonlinear Algebra group, fostering interdisciplinary collaboration between mathematics and the sciences. His team focuses on developing algebraic methods for data analysis, optimization, and theoretical physics.

• Corporate Social Responsibility (CSR)
• Environmental, Social, and Governance (ESG) Reporting
• Non-financial Disclosure
• +4 more

Maria Roszkowska-Menkes serves as Professor at the Louvain School of Management (LSM), Université catholique de Louvain (UCLouvain), Belgium. She is actively affiliated with the Louvain Research Institute in Management and Organizations (LouRIM), conducting research at the intersection of corporate governance, sustainability reporting, and institutional theory. Her institutional base operates within the College of Deans at Place des Doyens 1, Louvain-la-Neuve, where she contributes to LSM's mission of advancing management scholarship through critical organizational analysis. Her research program centers on Corporate Social Responsibility (CSR) evolution, Environmental, Social, and Governance (ESG) disclosure mechanisms, and non-financial reporting frameworks. She investigates how cultural contexts and regulatory environments shape corporate sustainability practices, with particular expertise in German and Polish business ecosystems. Her work employs institutional theory to analyze decoupling phenomena in sustainability reporting, cross-cultural variations in ESG implementation, and the effectiveness of European non-financial reporting directives. Current projects examine institutional investor influences on disclosure quality and the translation of sustainability rhetoric into operational practices. Analysis of her recent publications reveals a methodological emphasis on comparative institutional analysis, with increasing focus on the implementation gaps between regulatory requirements and corporate practices. Her scholarship demonstrates consistent engagement with critical questions about greenwashing mechanisms, cultural contingencies in CSR adoption, and the political economy of sustainability reporting. The trajectory shows deepening exploration of how varieties of capitalism frameworks explain divergent corporate responses to global sustainability challenges. Maria Roszkowska-Menkes operates within the Louvain Research Institute in Management and Organizations (LouRIM), a multidisciplinary hub fostering research on contemporary organizational challenges. This institute provides the collaborative environment for her investigations into governance-sustainability linkages, supporting both theoretical development and policy-relevant scholarship through its network of European management scholars.

• Interactive Information Retrieval Systems
• Search Engines
• Recommendation Systems
• +3 more

Mark D. Smucker is a Professor in the Department of Management Science and Engineering at the University of Waterloo , cross-appointed with the David R. Cheriton School of Computer Science (Faculty of Math). His research focuses on designing and evaluating interactive information retrieval systems, including search engines and recommendation systems. He co-organized the TREC Health Misinformation Track (2019–2022) and currently leads the TREC DRAGUN Track, addressing trustworthiness assessment of news. He holds a PhD in Computer Science from the University of Massachusetts Amherst, a Master's from the University of Wisconsin-Madison, and dual Bachelor's degrees in Physics and Computer Science from Iowa State University. His teaching includes courses like Search Engines (MSCI 541/MSE 541) and Introduction to Computer Programming (MSCI 121/MSE 121), emphasizing practical programming and information systems design. He has received awards including the ACM SIGIR 2012 Best Paper Award and the University of Waterloo Engineering Society Teaching Excellence Honourable Mention (2014). His work bridges theory and practice, with contributions to evaluation methodologies like time-based calibration of metrics and preference graphs. He collaborates on projects like the TREC tracks to improve search systems' real-world applicability, particularly in health contexts and misinformation detection.

Sherrilyn RoushView profile

Professor

• Epistemology
• Formal Epistemology
• Knowledge
• +7 more

Sherrilyn Roush is a Professor in the Department of Philosophy at University of California, Los Angeles (UCLA) , with a PhD in Philosophy from Harvard University (1999). She holds dual B.S. and B.A. degrees with highest distinction from Pennsylvania State University (1988). Her work spans Epistemology , Formal Epistemology , Scientific Method , and Bayesian Reasoning . Harvard University, PhD in Philosophy (1999) University of California, Los Angeles, Department of Philosophy Research interests include the epistemic value of knowledge, probabilistic reasoning in legal contexts, and the distinction between knowledge and understanding. She has extensively analyzed the role of statistical evidence in judicial verdicts, simulation methods in science, and epistemic self-doubt through a Bayesian framework. Her publications cover topics like the epistemic superiority of experiments over simulations, epistemic injustice in testimonial contexts, and evolutionary stable strategies for knowledge. While she has not been explicitly linked to scientific awards or formal student mentoring in the provided texts, her work intersects with medical epistemology through collaborations on self-knowledge in illness .

• Materials Science
• Crystal Plasticity
• Computational Modeling
• +3 more

Franz Roters is a researcher at the Max Planck Institute for Sustainable Materials within the Max Planck Society . His work focuses on Crystal Plasticity , Microstructure Physics , and Alloy Design , specializing in multi-physics simulations and computational modeling of materials. Developing and scaling the DAMASK software suite for crystal plasticity and damage modeling Research on texture evolution in aluminum alloys and magnesium twinning Collaborative work on chemo-mechanical coupling in solid-state batteries His recent publications emphasize multi-physics crystal plasticity , damage mechanics , and grain-scale simulations . He has presented at international conferences on computational challenges in materials science.

• Satellite Communications
• 5G/6G Networks
• Non-Terrestrial Networks
• +5 more

Alberto Gottardi is a Professor at the University of Genoa's Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, with a distinguished research career spanning over two decades in satellite communications and next-generation networking technologies. His work bridges theoretical research with practical applications in telecommunications infrastructure. Dr. Gottardi's research interests focus on Satellite Communications , 5G/6G Networks , Non-Terrestrial Networks , UAV Communications , Federated Learning , and Internet of Things . His work demonstrates a consistent trajectory from traditional satellite communication protocols toward integrating AI techniques with next-generation wireless networks, particularly focusing on the convergence of terrestrial and non-terrestrial network architectures. Analysis of his recent publications (2022-2025) reveals a strong emphasis on AI-driven approaches for satellite-terrestrial network integration, with particular focus on federated learning applications, UAV communications, and 6G non-terrestrial network architectures. His research increasingly incorporates machine learning techniques to solve traditional telecommunications challenges, showing a clear evolution toward data-driven network optimization. Dr. Gottardi has maintained an exceptionally productive research output, with over 99 publications documented in the dblp database spanning from 2005 to projected 2025 publications. His work demonstrates consistent collaboration with key researchers including Pietro Cassarà (45 joint publications), Manlio Bacco (33), and Erina Ferro (23), indicating stable research partnerships and team leadership. His research has significant practical applications in maritime communications, intelligent transportation systems, and emergency response networks, with several publications addressing real-world implementation challenges in satellite-based IoT systems and vehicular communications.

Lena StrömView profile

Senior Lecturer

• Cell and Molecular Biology
• Molecular Biology
• Genetics
• +7 more

Lena Ström, Senior Lecturer at the Department of Cell and Molecular Biology, Karolinska Institutet, specializes in sister chromatid cohesion, DNA damage responses, and genome integrity. Her research explores the role of Structural Maintenance of Chromosome (SMC) complexes in DNA repair, chromosome segregation, and developmental syndromes like Cohesinopathies. 2017: Senior Lecturer at Karolinska Institutet 2015: Docent at Karolinska Institutet 2002: PhD in Cell and Molecular Biology from Karolinska Institutet Her work focuses on the Cohesin complex's dual role in sister chromatid cohesion and DNA repair, particularly in cancer and Cohesinopathies. By studying yeast and human cells, her group investigates how DNA damage activates cohesion, impacts telomere maintenance, and contributes to tumor development and developmental disorders. Recent publications highlight Cohesin's role in damage-induced cohesion, DNA repair regulation, and SMC complex dynamics. Key collaborations span genetics, immunology, and medical research, with applications in cancer treatment and patient support for Cornelia de Lange syndrome. Current projects aim to elucidate Cohesin network mechanisms in chromatin structure, transcriptional regulation, and cancer therapy targets. Her group integrates advanced biochemistry, genomics, and functional studies to address molecular pathways in healthy and malignant cell cycles.

Martin Skovgaard AndersenView profile

Associate Professor

• Optimization
• Signal Processing
• Machine Learning
• +12 more

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

• Environmental Engineering
• Water Treatment
• UV Radiation Applications
• +3 more

Ernest Blatchley is the Lee A. Rieth Professor in Environmental Engineering and Professor in Environmental and Ecological Engineering at Purdue University's Lyles School of Civil and Construction Engineering. His research focuses on advancing UV-based technologies for water and air disinfection, mitigating disinfection byproducts, and sustainable water systems in underserved regions. He leads projects addressing public health challenges through innovative engineering solutions. Blatchley’s work spans indoor pool water chemistry, far-UVC radiation applications, and microbial risk assessment during pandemics. His lab develops UV photoreactor designs and evaluates their performance in real-world settings. Key contributions include frameworks for bioaerosol control in HVAC systems and sustainable water treatment in the Dominican Republic. Key Research Themes: UV Disinfection, Water Quality, Environmental Health Notable Projects: Far-UVC for Pandemic Control, Sustainable Water Access, Swimming Pool Chemistry His recent studies analyze UV-C air cleaners’ efficacy, UV-induced byproduct formation in chlorinated pools, and dual-wavelength UV microbial inactivation. Blatchley’s research bridges fundamental science and practical implementation, emphasizing scalability and global impact. Advising and grants: Blatchley’s research is supported by grants focused on water security and public health, though specific student advisees are not listed here. He collaborates with interdisciplinary teams to address environmental challenges in developing regions. Labs/Teams: Active in Purdue's Environmental Engineering research groups, contributing to initiatives like the Global Engineering Program.

• Census Methodology
• Survey Design and Analysis
• Policy Evaluation
• +3 more

Professor James Brown serves as the ABS Professor of Official Statistics and Head of Discipline for Mathematical Sciences at the University of Technology Sydney (UTS). He holds a B.Sc. (Hons) in Mathematics with Actuarial Studies (1993), M.Sc. in Social Statistics (1996), and Ph.D. in Census Coverage Assessment (2000) from the University of Southampton. His research focuses on census methodology, survey design, policy evaluation, and multilevel statistical modeling. He has led major projects including the 2012 Rwanda Census Quality Report and contributed to UK census coverage strategies. Professional roles include Fellow of the Royal Statistical Society, Chair of Scotland’s 2022 Census Steering Group, and member of the ABS Methodology Advisory Committee. He has editorial experience with journals like the Journal of the Royal Statistical Society Series A and International Statistical Review . Key funded projects include studies on HIV legal frameworks, food security during the pandemic, and healthcare safety regulation. Awards : Fellow of the Royal Statistical Society, Member of British Society for Population Studies Grants : Includes $3M for legal-environment assessments in HIV policy and census quality advisory roles in New Zealand and Australia. His advisory work spans national statistical agencies, including collaborations with the Office for National Statistics (UK) and Statistics New Zealand. Current research emphasizes administrative data integration and future population statistics frameworks.

Ben Ward-CherrierView profile

Senior Lecturer

• Robotics
• Computational Neuroscience
• Prosthetics
• +2 more

Ben Ward-Cherrier is a Senior Lecturer in Robotics at the University of Bristol's School of Engineering Mathematics and Technology. His research focuses on biomimetic tactile sensing, neuromorphic systems for robotics, and haptic interfaces. He develops artificial tactile systems inspired by biological sensory mechanisms for applications in prosthetics, robotic manipulation, and human-robot interaction. Key research areas include neuromorphic tactile sensors that mimic biological afferents, real-time texture and edge classification algorithms, incipient slip detection for stable grasping, and vibrotactile feedback systems. Recent work integrates spiking neural networks with tactile hardware for efficient sensory processing. Publications demonstrate advancement in tactile sensing capabilities, including braille recognition in noisy environments, psychophysics-inspired benchmarking, multi-modal texture/velocity classification, and industrial applications like composite defect detection. Research bridges computational neuroscience with practical robotic systems.