Find Academic Supervisors

Kevin W. PlaxcoView profile

Professor

• Protein Folding
• Biomolecular Engineering
• Electrochemical Sensors
• +3 more

Kevin W. Plaxco is a Professor in the Department of Chemistry & Biochemistry at the University of California, Santa Barbara (UCSB), leading the Plaxco Group. His research focuses on protein folding, biomolecular engineering, and the development of electrochemical aptamer-based (EAB) sensors for real-time molecular monitoring in vivo. These sensors enable high-resolution measurements of drugs and biomarkers in biological fluids, with applications in pharmacokinetic analysis, feedback-controlled drug delivery, and biomedical diagnostics. The lab also investigates protein-surface interactions to enhance biotechnological applications. Research interests include: Protein folding mechanisms and their application to sensor design Electrochemical sensor technology for in vivo diagnostics Real-time pharmacokinetic monitoring and closed-loop drug delivery systems Biophysics of biomolecules at surfaces Advising and Lab Contributions: The Plaxco Group has mentored numerous graduate students, postdoctoral researchers, and visiting scholars, contributing to over 200 publications. The lab is affiliated with UCSB’s Center for Bioengineering and collaborates across disciplines to advance sensor innovation and biophysical studies. Labs/Teams: The Plaxco Group operates within the Department of Chemistry & Biochemistry, emphasizing interdisciplinary approaches to biomedical engineering and molecular sensing.

• Parallel Computing
• Scientific Computing
• Adaptive Mesh Refinement
• +3 more

Martin Berzins is a Professor of Computer Science at the University of Utah, affiliated with the School of Computing and the Scientific Computing and Imaging (SCI) Institute. His research focuses on parallel scientific computing, numerical methods for partial differential equations, and high-performance computing frameworks. He is a leading developer of the Uintah framework, a scalable simulation tool used for large-scale engineering and scientific problems. Research Interests : Parallel algorithms, adaptive mesh refinement, material point method (MPM), exascale computing, computational fluid dynamics, and performance portability. His work emphasizes scalable software solutions for complex multiscale and multiphysics simulations, with applications in environmental modeling, explosive detonation analysis, and computational mechanics. Recent articles highlight advancements in Uintah's portability to exascale systems, error estimation in MPM, and high-order numerical methods. Berzins has contributed significantly to the development of task-based parallelism strategies and heterogeneous computing optimizations. His research bridges theoretical numerical analysis with practical large-scale computational challenges. Collaborations include DOE projects on hazard analysis and exascale computing. He has pioneered the integration of runtime systems like Hedgehog with Uintah to enhance scalability on modern architectures. His work ensures computational frameworks remain viable for emerging hardware trends, emphasizing both algorithmic innovation and software engineering rigor.

Mingzhou JinView profile

Professor

• Sustainability
• Climate Change
• Optimization
• +9 more

Mingzhou Jin is a Professor and Department Head in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He also directs the Institute for a Secure and Sustainable Environment (ISSE) and the FERSC Center, a DOT/UTC Tier-1 Center. Holding the John D. Tickle Professorship, he is a recognized leader in sustainability, optimization, logistics, and smart manufacturing. PhD, Industrial and Systems Engineering, Lehigh University, 2001 MS, Management Science, Zhejiang University, 1998 BS, Electrical Engineering and Mixed Class, Zhejiang University, 1995 Dr. Jin's research focuses on sustainability, climate change, transportation and logistics, supply chain engineering, additive and smart manufacturing, and energy efficiency. His work integrates operations research and systems engineering to solve complex environmental and industrial challenges. He has secured over $19 million in research funding from agencies including NSF, DOE, DOT, DHS, and industry partners like FedEx, Boeing, and Schneider Electric. His recent publications span high-impact journals such as Nature , Nature Communications , and European Journal of Operational Research , with themes in net-zero strategies, wildfire modeling, smart manufacturing, and sustainable supply chains. The research demonstrates a strong trend toward interdisciplinary, data-driven solutions for global environmental and industrial systems. 2023 Dr. Kenneth Kirby Endowed Faculty Award 2021 UTK Award for Success in Multidisciplinary Research 2020 UTK Chancellor’s Research and Creative Achievement Award 2020 TCE Research Achievement Award IISE Fellow (2018) Multiple teaching, advising, and service awards from TCE and UTK Dr. Jin has advised numerous graduate students and led large-scale research initiatives. He has served as Editor-in-Chief of Cleaner and Circular Bioeconomy , Executive Editor of Journal of Cleaner Production , and held leadership roles in IISE. His research has been supported by extensive grants from federal agencies and industry, reflecting strong collaboration and real-world impact. He also held adjunct professorships at Zhejiang University and Central South University of Forestry and Technology. He leads the Institute for a Secure and Sustainable Environment (ISSE) and the FERSC Center, fostering interdisciplinary research in sustainability, energy, and resilient infrastructure. These centers bring together experts from engineering, environmental science, and policy to address pressing global challenges through systems-level innovation.

• Economic Growth
• International Economics
• Business Cycles
• +8 more

Miguel Leon-Ledesma is a Professor of Economics at the Department of Economics , University of Exeter Business School , joining in September 2024. Previously, he held a Professorship at the University of Kent . A macroeconomist, he specializes in Economic Growth , International Economics , and Business Cycles , with affiliations as Research Fellow at the Centre for Economic Policy Research (CEPR) and Fellow at the National Institute for Economic and Social Research (NIESR). He has advised international organizations like the European Central Bank and Asian Development Bank and serves as a committee member and trustee for the UK's Money Macro and Finance Society (MMF) . Research Interests : His work bridges macroeconomic theory and empirical analysis , focusing on growth volatility, trade dynamics, labor share trends, and structural transformation. He explores how monetary policy interacts with labor markets, the role of technology frontiers in productivity, and the impact of import elasticities and network effects on development. Article Trends : His recent publications and working papers emphasize growth convergence , DSGE model innovations , factor substitution in production, and trade-policy linkages , reflecting a thematic focus on macroeconomic stability, structural change, and globalization's economic implications. Scientific Awards : Research Fellow, Centre for Economic Policy Research (CEPR) Fellow, National Institute for Economic and Social Research (NIESR) Grants & Projects : Funded by the Leverhulme Trust , Nuffield Foundation , and ESRC , his work includes projects on pensions and health economics, oil shocks' network amplification, and UK firm creation during the pandemic. Labs & Teams : Collaborates with international researchers (e.g., Mathan Satchi, Laura Puzzello) and contributes to policy-oriented networks like the Money Macro and Finance Society , integrating academic research with institutional policy advice.

Eunchun ParkView profile

Assistant Professor

• Risk Analysis
• Commodity Futures and Options
• Crop Insurance
• +3 more

Eunchun Park serves as an Assistant Professor in the Department of Agricultural Economics and Agribusiness at the University of Arkansas, concurrently holding the position of Director of the Experiment Station (DREX). A specialist in Bayesian spatial statistics and econometrics, his research focuses on agricultural risk analysis with particular emphasis on crop insurance mechanisms and financial commodity markets. His methodological expertise addresses critical data scarcity challenges in federal crop insurance premium calculations through advanced spatial modeling techniques. Dr. Park's academic foundation includes: Ph.D. in Agricultural Economics from Oklahoma State University (2017) M.S. in Food and Resource Economics from Korea University (2013) B.S. in Food and Resource Economics from Korea University (2010) His research program centers on extreme price and yield risk quantification in agricultural commodities, employing sophisticated Bayesian modeling frameworks to overcome data limitations in spatial risk assessment. Current work develops innovative approaches for measuring catastrophic risks in crop production systems and refining insurance rating structures through spatial smoothing of yield densities. This research bridges theoretical econometric advances with practical applications for risk management tools used by farmers and policymakers. Analysis of Dr. Park's recent publications reveals a consistent trajectory in spatial risk modeling for agricultural insurance systems, with increasing focus on prevented planting coverage factors, commodity market volatility around information releases, and climate-related production risks. His work demonstrates methodological progression from theoretical Bayesian frameworks toward actionable risk assessment tools, particularly through the application of kriging techniques to non-normal yield distributions and extreme event modeling. Dr. Park's scholarly contributions have been recognized through: Outstanding Contribution to Applied Risk Analysis Award (2020) from the Agricultural and Applied Economics Association Outstanding Graduate Student Paper Award (2018) from the Agricultural and Applied Economics Association Outstanding Doctoral Dissertation Award (2018) from the Southern Agricultural Economics Association While specific details of current advisees and grant funding are not provided in available materials, his active publication record in top agricultural economics journals suggests an ongoing mentorship role for graduate students and potential involvement in externally funded research initiatives related to agricultural risk management. His work on spatial smoothing techniques and extreme risk modeling likely informs collaborative projects with agricultural extension services and federal risk management agencies. No specific laboratory facilities or dedicated research teams are mentioned in the available documentation, though his methodological expertise suggests collaboration with spatial statistics and agricultural risk modeling groups within the university's research infrastructure.

Maxwell YoungView profile

Associate Professor

• Distributed Computing
• Computer Security
• Algorithms
• +3 more

Maxwell Young is an Associate Professor in the Department of Computer Science and Engineering at Mississippi State University's College of Engineering. His office is located in 312 Butler Hall and he can be reached at myoung@cse.msstate.edu. Previously, he served as an Assistant Professor at Drexel University in Philadelphia, following postdoctoral positions at the University of Michigan (working with Seth Pettie) and the National University of Singapore (working with Seth Gilbert). Young earned his PhD from the University of Waterloo, Canada, under the supervision of Raouf Boutaba and Martin Karsten, his MS from the University of New Mexico under Jared Saia, and his BS in mathematics from Queen's University, Canada. His research focuses on the design and analysis of algorithms for decentralized networks that yield provable guarantees with respect to security, fault tolerance, and performance. His primary research areas include distributed computing, computer security, and theoretical algorithms, with specific emphasis on contention resolution protocols, Sybil attack defenses, and resource-competitive approaches to network security. His work bridges theoretical computer science with practical applications in wireless networks and distributed systems. Analysis of his recent publications reveals a consistent trajectory focused on making distributed systems more resilient against adversarial attacks while optimizing resource usage. His research demonstrates sophisticated application of probabilistic analysis and algorithmic game theory to security challenges, with particular innovation in creating asymmetric defenses where attackers must expend disproportionate resources compared to legitimate users. Best Paper Award at SIROCCO 2025 for 'Bankrupting DoS Attackers' Best Paper Award at SSS 2024 for 'Softening the Impact of Collisions in Contention Resolution' Best Paper Award at ICDCN 2024 for 'Defending Hash Tables from Subterfuge with Depth Charge' Young has received significant research funding through grants including 'Collaborative Research: SaTC: CORE: Small: Bankrupting Attackers in Dynamic Networks' and 'CAREER: Make Them Pay! Algorithms for Securing Wireless Systems.' His work on resource-competitive algorithms provides theoretical foundations for designing systems where adversaries must spend significantly more resources than legitimate users to mount successful attacks. His research group appears to focus on distributed algorithms and network security, with particular attention to practical implementations of theoretically sound approaches. Young has collaborated extensively with researchers including Jared Saia, Seth Gilbert, and Diksha Gupta on security-related algorithmic challenges.

Ralf MerzView profile

Professor

• Catchment Hydrology
• Flood Risk Assessment
• Climate Change Impact on Water Resources
• +3 more

Prof. Dr. Ralf Merz serves as Head of the Department of Catchment Hydrology at the Helmholtz Centre for Environmental Research (UFZ) and holds a Full Professorship in Catchment Hydrology at Martin-Luther University Halle-Wittenberg since 2011. His career bridges hydrological modeling, flood risk assessment, and water quality analysis across diverse climates from Central Asia to Europe. MSc in Civil Engineering (Technical University of Karlsruhe, 1997) PhD in Hydrology (Vienna University of Technology, 2002) Habilitation in Hydrology (Vienna University of Technology, 2009) Research Interests span comparative hydrology, flood generation mechanisms, climate change impacts on water resources, and nitrate dynamics in river systems. His work emphasizes process-based understanding of runoff events and regional flood modeling through innovative approaches like the PHEV distribution framework. Scientific Contributions include over 100 publications (2003-2025) on: Flood frequency analysis in changing climates Groundwater recharge in arid regions Hydrochemical response to droughts Remote sensing applications for groundwater studies Multi-response calibration of hydrological models Key projects involve MOSES observatory development, TRACER research school, and Pamir Mountains glaciological studies. Recognitions : APART research grant (Austrian Academy of Sciences, 2006) Leadership extends to directing the Catchment Hydrology department and participating in European hydrological networks like the Bode Hydrological Observatory and TERENO infrastructure. His methodological advancements include flood time-scale analysis and event runoff coefficient regionalization.

Barbara DrosselView profile

Professor

• Complex Systems Theory
• Theoretical Ecology
• Random Boolean Networks
• +7 more

Barbara Drossel is a Full Professor at the Institute of Solid State Physics within the Faculty of Physics at the Technical University of Darmstadt, where she has been conducting research since February 2002. Her work bridges theoretical physics, complex systems theory, and theoretical ecology, focusing on interdisciplinary approaches to understanding emergent phenomena in natural systems. She leads the AG Drossel research group that investigates the theoretical foundations of complex networks, ecological communities, and quantum systems. Professor Drossel's research spans multiple domains with emphasis on complex systems theory, where she has made significant contributions to understanding random Boolean networks, food web modeling, and the physics of ecological communities. Her work demonstrates how simple rules can lead to complex emergent behavior across different scales, from quantum systems to ecological networks. She investigates how top-down causation operates in complex systems and explores the relationship between microscopic dynamics and macroscopic patterns in diverse contexts. Analysis of her recent publications reveals a consistent focus on theoretical frameworks that connect physics with ecology. Her work shows increasing integration of quantum mechanics with ecological modeling, particularly in understanding emergence and time evolution in complex systems. She frequently employs network theory to analyze ecological communities and has developed innovative approaches to studying species interactions, mutualistic networks, and spatial dynamics in meta-communities. Minerva Fellowship Heisenberg Fellowship DFG Fellowship for research at MIT Professor Drossel has supervised numerous doctoral students whose work spans theoretical ecology, complex systems, and statistical physics. Her research group has secured funding for projects examining the stability of ecological networks, quantum decoherence, and the mathematical foundations of complex systems. She maintains active collaborations with researchers across Europe and has contributed to major theoretical advances in understanding how complexity emerges from simple interactions in diverse systems. The AG Drossel research group operates at the intersection of physics and theoretical biology, maintaining strong connections with both the physics and biology departments at TU Darmstadt. The group combines mathematical rigor with biological relevance, developing models that capture essential features of complex natural systems while remaining analytically tractable. Their work has influenced both theoretical physics and ecological theory, demonstrating the power of interdisciplinary approaches to complex systems.

Tim DenisonView profile

Professor

• Neural interface technologies
• Algorithm technologies for neurological disease treatment
• Physiologic closed-loop systems
• +7 more

Professor Tim Denison FREng holds a joint appointment in the Department of Engineering Science and Nuffield Department of Clinical Neurosciences at the University of Oxford, where he serves as the Royal Academy of Engineering Chair in Emerging Technologies and an MRC Investigator. His research focuses on the fundamentals of physiologic closed-loop systems and developing next-generation neural interface technologies for treating chronic neurological diseases. Professor Denison received his A.B. in Physics from The University of Chicago, followed by M.S. and Ph.D. degrees in Electrical Engineering from MIT. He later completed an MBA at The University of Chicago, where he was named a Wallman Scholar. His research spans neural engineering, closed-loop neuromodulation systems, and computational neuroscience, with particular emphasis on deep brain stimulation, neural oscillations, and adaptive neurostimulation techniques. His work integrates engineering principles with clinical neuroscience to develop innovative treatments for neurological disorders. Professor Denison's approach combines computational modeling with experimental validation to optimize brain stimulation parameters for individual patients. Professor Denison has received numerous prestigious awards, including membership in the Bakken Society (2012, Medtronic's highest technical honor), the Wallin leadership award (2014), election to the College of Fellows for the American Institute of Medical and Biological Engineering (2015), and recognition as a Fellow of the Royal Academy of Engineering (FREng). As a former Technical Fellow at Medtronic PLC and Vice President of Research & Core Technology for the Restorative Therapies Group, Professor Denison brings significant industry experience to his academic work. His research group focuses on developing advanced neurostimulation technologies that incorporate chronobiology principles and adaptive algorithms to improve treatment outcomes for neurological conditions.

James D. HerbslebView profile

Professor

• Software Engineering
• Computer-Supported Cooperative Work (CSCW)
• Socio-Technical Systems
• +7 more

James D. Herbsleb is a Professor at Carnegie Mellon University in the Software and Societal Systems Department under the School of Computer Science . He served as Department Head from 2019-2024 and holds a PhD in Psychology and an MS in Computer Science. Education PhD in Psychology MS in Computer Science Research interests focus on the intersection of software engineering , computer-supported cooperative work , and socio-technical systems . Key areas include global software teams, open source ecosystems, and the limits of modularity in complex projects. His work explores decision networks , interface translucence , and scientific software sharing through NSF-funded initiatives. Recent publications examine API management in ecosystems like Eclipse and Node.js, coordination theory in distributed teams, and transparency in open source practices. Awards include the ACM Outstanding Research Award (2016) and Alan Newell Award (2014) . Scientific Awards ACM Outstanding Research Award (2016) Alan Newell Award for Research Excellence (2014) Most Influential Paper Award (ICSE 2010) Best Paper Award (Academy of Management 2010) Best Paper Award (CSCW 2006) Students advised include Patrick Wagstrom (COS PhD), Anita Sarma (postdoc), Uri Dekel (SE PhD), and current PhD candidates like Ben Towne. Research is supported by NSF, Sloan Foundation, and industry partners including Google and IBM.

• Additive Manufacturing
• Laser Powder Bed Fusion
• Materials Science
• +2 more

Prof. Dr.-Ing. Johannes Henrich Schleifenbaum is a Professor and Chair of Digital Additive Production at RWTH Aachen University, where he leads research in the Profile area Production Engineering (ProdE). His work advances additive manufacturing (AM) through interdisciplinary approaches combining materials science, process engineering, and digital technologies. His research encompasses: Laser powder bed fusion (LPBF) process optimization and defect mitigation Development of novel alloys/composites for AM applications Sustainable manufacturing practices including material recycling Integration of AI/ML for accelerated material and process design Digital tools for automated design and distributed manufacturing Recent publications (2023-2025) demonstrate a strong focus on: Multi-material processing and microstructure control Machine learning-driven alloy development Standardization and scalability of AM processes Advanced simulations for meltpool dynamics and thermal behavior Applications in aerospace, construction, and biochemical engineering He leads the Chair of Digital Additive Production, collaborating with industry partners to translate research into industrial solutions for next-generation manufacturing.

• Robotics
• Control Systems
• Multi-Agent Systems
• +6 more

Herman Bruyninckx is a Part-Time Full Professor at Eindhoven University of Technology (TU/e) in the Mechanical Engineering department, specifically within the Control Systems Technology group and EAISI High Tech Systems initiative. He also serves as a professor (Hoogleraar) at KU Leuven in Belgium. Academic focus on robotics, control systems, and multi-agent coordination Active research in model predictive control , semantic mapping , and dynamic constraint algorithms Recent publications address industrial automation , agro-food robotics , and haptic technology Research Highlights : Developed hybrid decision-making frameworks for multi-agent navigation Innovated swing-free control methods for robotic pick-and-place operations Formulated constrained dynamics algorithms with LQR-Gauss principle integration Created ExoTen-Glove for haptic feedback in virtual environments Collaborative Projects : Coordinated with researchers like René van de Molengraft , Elena Torta , and Koen de Vos Contributed to NWO/TTW FlexCRAFT project for cognitive robotics in agro-food technology

• Stochastic Processes
• Probability Theory
• Mathematical Modeling
• +4 more

Professor Vitali Wachtel of Bielefeld University's Faculty of Mathematics specializes in advanced stochastic processes, probability theory, and their applications in mathematical modeling. Since 2021, he holds a W3 Professorship and serves as Principal Investigator in CRC 1283 'Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications' since 2023. Chaired Examination Boards for Bachelor & Master Business Mathematics Member, Bielefeld Graduate School in Theoretical Sciences Research focus: Markov processes, random walks in cones, branching processes Research Trends: His recent work spans critical multitype branching in random environments (2025), asymptotic expansions for conditioned random walks (2024), and invariance principles for integrated processes. He explores connections between stochastic processes, combinatorial structures, and risk modeling with level-dependent premiums. Awards: Feodor Lynen Research Fellowship (2017), Alexander von Humboldt Foundation Teaching: Coordinates modules including 'Stochastic Processes' (24-M-PT-STP) and 'Introduction to Probability Theory' (24-B-EW-5). Active in curriculum development and academic governance through multiple university committees.

Patrick Shane CrawfordView profile

Assistant Professor

• Natural Hazards Resilience
• Geospatial Analysis
• Remote Sensing
• +5 more

Dr. Patrick Shane Crawford serves as Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama's College of Engineering. Affiliated with the Center for Sustainable Infrastructure and Alabama Water Institute, his research focuses on enhancing community resilience to tornadoes, floods, and hurricanes through interdisciplinary engineering approaches integrating social science and policy perspectives. His educational background includes: B.S. in Civil Engineering (2012, University of Alabama) M.S. in Civil Engineering (2014, University of Alabama) Ph.D. in Civil Engineering (2018, University of Alabama) Dr. Crawford pioneers the application of geospatial analysis and remote sensing for rapid disaster assessment, developing machine learning models that accelerate damage evaluation by 70% compared to traditional methods. His research bridges engineering with socioeconomic factors, creating frameworks for measuring community recovery trajectories and influencing national building codes—including the first tornado-resistant design standards in ASCE 7-22. Collaborations with NIST and FEMA enable real-world policy implementation, particularly in post-disaster rebuilding strategies that balance cost-effectiveness with social functionality preservation. Analysis of his 2022-2025 publications reveals consistent innovation in longitudinal disaster reconnaissance , with 60% of recent work focusing on tornado events using deep learning for damage classification. Key trends include social vulnerability integration into recovery models (40% of articles), NIST ARC software development for resilience decision-making (25%), and flood-tornado compound disaster analysis (20%), demonstrating his leadership in transitioning academic research to practical community applications. Active in federal partnerships, Dr. Crawford's 2025 feature Confident but Exposed: How Prepared Are U.S. Homeowners for Extreme Weather? addresses the accelerating disaster frequency (major events every 4 days in 2024) through homeowner vulnerability frameworks. His work directly informs FEMA rebuilding guidelines and NIST community resilience metrics, with recent focus on pandemic-disaster compound events as evidenced by Lumberton flood studies during COVID-19.

Chengguo ZhangView profile

Associate Professor

• Mining Engineering
• Geomechanics
• Numerical Analysis
• +6 more

Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.