Find Academic Supervisors

Sabrina ZajakView profile

Adjunct Professor

• Political Sociology
• Civil Society Research
• Social Movement Research
• +4 more

Prof. Dr. Sabrina Zajak serves as Head of the Consensus & Conflict Department at the Deutsches Zentrum für Integrations- und Migrationsforschung (DeZIM-Institut) and holds an adjunct professorship at the Faculty of Social Sciences, Ruhr University Bochum. A founding member of the Institute for Protest and Movement Research (ipb), she also serves on the board of Research Committee 47, 'Social Movements and Social Classes,' of the International Sociology Association. Her academic trajectory includes significant positions at Humboldt University Berlin, the Max Planck Institute for the Study of Societies Cologne, and the Social Science Center Berlin (WZB). Zajak's research centers on political sociology with dual emphases on consensus and conflict dynamics in plural societies. Her consensus research examines civil society engagement, refugee assistance networks, alliance formation, and everyday solidarity practices, while her conflict research analyzes protest movements, diversity challenges, and discrimination patterns. She has pioneered studies on transnational civil society alliances, particularly examining how social movements navigate national boundaries and build cross-border solidarity. Her recent publications reveal a decisive shift toward analyzing intersectional dynamics of race, migration, and social movements in European contexts. With significant attention to the Black Lives Matter movement's reception in Germany, her work demonstrates how global racial justice movements are adapted to local contexts. Her research increasingly addresses civil society responses to refugee crises, examining both supportive engagement and exclusionary practices, while also investigating structural barriers to diversity in German federal administration and cultural institutions. As a prolific academic leader, Zajak has served as (co-)editor for special journal issues including Development and Change (2017), Industrial Relations (2018), Social Movement Studies (2021), Competition and Change (2020), Moving the Social (2020), and European Cultural and Political Sociology (2022). Her department currently manages over 20 active research projects spanning discrimination experiences in Saxony, diversity in federal administration, Muslim youth association work, and violence protection in refugee accommodations, demonstrating the breadth and policy relevance of her research agenda.

Hirokatsu KataokaView profile

Researcher

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +5 more

Hirokatsu Kataoka serves as Chief Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan, with multiple academic affiliations including Academic Visitor at the Visual Geometry Group (VGG) at University of Oxford, Visiting Associate Professor at Keio University, and Adjunct Associate Professor at Tokyo Denki University. He is Principal Investigator of both cvpaper.challenge and LIMIT.Lab, and serves as Research Advisor for SB Intuitions. Dr. Kataoka earned his Ph.D. in Engineering from Keio University (April 2011 - March 2014), where he received the Fujiwara Prize in 2014 as valedictorian equivalent. His research primarily focuses on innovative pre-training methodologies that eliminate dependency on natural image datasets, with his Formula-Driven Supervised Learning (FDSL) framework being particularly influential in the field. Kataoka's research interests center around representation learning with limited data resources, including zero-shot, unsupervised, and synthetic learning approaches. His work explores how visual/multimodal models can be effectively trained with minimal real-world data, addressing critical ethical concerns related to large-scale datasets. He has pioneered methods using fractal geometry, mathematical formulas, and procedural generation to create effective pre-training frameworks that rival traditional ImageNet-based approaches. His publication record shows a clear trajectory toward solving the challenges of learning with limited resources, with recent work expanding FDSL to audio processing, microfossil analysis, and visible-to-infrared translation. His papers consistently address the core challenge of building robust visual recognition systems without relying on massive annotated datasets, with increasing focus on practical applications across diverse domains. Scientific Awards & Recognition ACCV 2020 Best Paper Honorable Mention Award for 'Pre-training without Natural Images' AIST Best Paper Award (2019, 2022) BMVC 2023 Best Industry Paper Finalist Featured in MIT Technology Review His 3D ResNets paper ranks among the top 0.5% most-cited CVPR papers over a five-year period Dr. Kataoka actively advises numerous researchers across multiple institutions, with his research team comprising Ph.D. and Master's students from various universities. He has served as Area Chair for CVPR 2024 and 2025, will serve as IEEE TPAMI Associate Editor beginning in 2025, and organizes the LIMIT Workshop series at major computer vision conferences. His LIMIT.Lab, established in June 2025, serves as a collaboration hub focused on building multimodal AI models under constrained resources including compute, data, and labels.

Nicolas JolyView profile

Researcher

• Acoustics
• Vibroacoustics
• Numerical Modeling
• +3 more

Nicolas Joly is a Researcher at the Le Mans University 's Institute of Acoustics , affiliated with the Transducers team. His work focuses on numerical modeling of acoustics and vibroacoustics, particularly thermoviscous diffusion phenomena in boundary layers. Research Areas : MEMS Transducers, Thermoviscous Fluid Dynamics, Inverse Methods, Composite Material Analysis Recent Contributions : Modeling micro-scale acoustic devices, homogenization of complex elastic moduli in curved beams, and fluid-loaded microbeam dynamics. Scientific Production Trends : Recent publications highlight advanced numerical simulations for miniaturized transducers, inverse methods in material characterization, and thermoviscous effects in MEMS devices. His work bridges acoustics with structural mechanics and sensor design.

• Stochastic Analysis
• Rough Analysis
• Functional Ito Calculus
• +5 more

Prof. Rama Cont is a Statutory Professor of Mathematics at the University of Oxford and a Professorial Fellow at St Hugh's College . He serves as Director of the Centre for Doctoral Training in Mathematics of Random Systems , Faculty Member of the Stochastic Analysis Group , and Senior Research Fellow at the Institute for New Economic Thinking . Additional roles include Director of the Oxford Martin Programme on Systemic Resilience , Principal Investigator at the Oxford Suzhou Centre for Advanced Research , and Editor-in-Chief of Mathematical Finance . His research interests span pathwise methods in stochastic analysis, rough analysis, functional Ito calculus, mathematical modeling in finance, systemic risk, and data-driven decision systems. Recent publications focus on causal transport, rough volatility, and deep residual networks, reflecting his interdisciplinary approach to mathematics and finance. Functional Ito calculus and pathwise integration Rough volatility and financial market dynamics Systemic risk in financial networks Deep learning applications to finance and stochastic processes He has received prestigious awards including the Louis Bachelier Prize , SIAM Fellowship, Royal Society APEX Award, and IMA Fellowship. His editorial roles and seminar leadership underscore his influence in mathematical finance and stochastic analysis.

Lorenzo BaraldiView profile

Associate Professor

• Deep Learning
• Vision-and-Language integration
• Multimodal Retrieval
• +5 more

Lorenzo Baraldi is an Associate Professor at the University of Modena and Reggio Emilia, where he leads research in deep learning, vision-language integration, and multimodal AI systems. He serves as an ELLIS Scholar and Coordinator of the Modena ELLIS Unit, and has held the position of deputy director at the Interdepartmental Center on Digital Humanities since 2021. Previously, he worked at Facebook AI Research laboratory in Paris in 2017, developing video-matching algorithms for content moderation. His research spans multiple areas including Vision-and-Language integration, Multimodal Retrieval, Image and Video Captioning, Visual-Semantic alignment, Large-Scale model development, High Performance Computing, and Embodied AI. With over 120 publications in international journals and conferences, his work demonstrates consistent contributions to advancing multimodal AI capabilities. He has served as an Associate Editor for Computer Vision and Image Understanding and Pattern Recognition, and as Area Chair for major conferences including ICCV, WACV 2026, and ACM Multimedia 2025. His recent publication record shows significant impact in the field, with multiple papers accepted to top-tier conferences in 2024-2025 including CVPR, ICCV, BMVC, ICLR, ECCV, and NeurIPS. Notably, his paper "Hyperbolic Safety-Aware Vision-Language Models" was selected as a highlight paper at CVPR 2025. His research often involves collaboration with Rita Cucchiara and other researchers at his institution. ELLIS Scholar and Coordinator of the Modena ELLIS Unit Associate Editor for Computer Vision and Image Understanding Area Chair for ICCV and major multimedia conferences Highlight paper at CVPR 2025 Professor Baraldi teaches courses in Computer Vision and Cognitive Systems, Scalable AI, and Computer Architecture for the Artificial Intelligence Engineering and Computer Engineering programs. His teaching spans both undergraduate and graduate levels, with a focus on providing students with both theoretical foundations and practical implementation skills. He has developed educational materials including Deep Learning tutorials for classroom instruction.

Omer T InanView profile

Assistant Professor

• Biomedical Engineering
• Medical Devices
• Physiological Monitoring
• +7 more

Omer T Inan is the Regents Entrepreneur Endowed Chair and Assistant Professor at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology. His work bridges biomedical engineering and wearable technology, focusing on non-invasive physiological monitoring for chronic disease management. He holds a Ph.D. in Electrical Engineering from Stanford University (2009) and previously worked at Countryman Associates (2007-2013) as Chief Engineer, developing professional audio systems. Education: B.S., M.S., Ph.D. in Electrical Engineering, Stanford University (2004-2009) His research interests include medical devices for home-based cardiovascular monitoring, musculoskeletal sound analysis, and neuromodulation of stress responses. He has pioneered technologies for heart failure patients, PTSD treatment, and osteoarthritis diagnostics. Recent publications highlight innovations in AI-driven cardiac parameter estimation, motion artifact removal in seismocardiograms, and multimodal stress tracking via wearables. His work spans biomedical signal processing, clinical translation, and portable diagnostic systems. Scientific Awards 2024 IEEE Fellow 2023 IEEE Distinguished Lecturer 2023 American College of Cardiology Fellow 2022 American Institute for Medical and Biological Engineering Fellow 2021 Academy Award for Technical Achievement (The Oscars) 2018 ONR Young Investigator Award 2018 NSF CAREER Award At Georgia Tech, Inan leads the Inan Research Lab, which develops technologies for physiological monitoring and modulation. Projects include musculoskeletal sound analysis for joint health, non-invasive cardiovascular sensing, and neuromodulation to treat PTSD via vagal nerve stimulation.

Todd D. MurpheyView profile

Professor

• Computational Dynamics and Control
• Human-Swarm Interaction
• Algorithmic Matter
• +10 more

Dr. Todd D. Murphey is a Professor of Mechanical Engineering at Northwestern University's Robert R. McCormick School of Engineering and Applied Science. He serves as Director of Transformative Research and Director of the Master of Science in Robotics Program at Northwestern, leading initiatives in computational dynamics, control systems, and robotics. His work bridges engineering, neuroscience, and biomedical applications, with a focus on developing systems that interact effectively with humans and their environments. Dr. Murphey received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 2002, with a thesis titled "Control of Multiple Model Systems." Prior to that, he earned a B.S. in Mathematics, summa cum laude, from the University of Arizona in 1997. Dr. Murphey's research centers on computational methods in dynamics and control, with applications spanning neuroscience, health science, robotics, and automation. His work in the Interactive & Emergent Autonomy Lab focuses on computational models of embedded control, biomechanical simulation, dynamic exploration, and hybrid control. The group develops mathematical approaches that lead to orders of magnitude improvement in computational efficiency for real-time implementation. Key application areas include assistive exoskeleton control, stabilization of energy networks, bio-inspired active sensing, entertainment robots, robotic exploration, and software-enabled stroke rehabilitation. Analysis of Dr. Murphey's recent publications reveals a strong emphasis on human-swarm interaction, algorithmic matter, and control of cyber-physical systems in uncertain environments. His work increasingly integrates information theory with physical systems, exploring how both autonomous and biological systems interact with environments to learn and improve behaviors. Recent trends show growing applications in rehabilitation technology, with particular focus on human-machine interaction in biomedical devices and embodied intelligence. Dr. Murphey has received numerous honors and awards for his contributions to robotics and engineering: Named Director of Transformative Research at Northwestern University (2025) Appointed IEEE Robotics and Automation Society Vice President of Publication Activities (2022) Co-recipient of Best Paper Award for IEEE Transactions on Robotics (2020) Appointed to Air Force Scientific Advisory Board (2019) Recipient of ABB Best Student Paper Award for CPL-SLAM research (2019) Cole-Higgins Award from Northwestern Engineering (2015) Dr. Murphey has supervised numerous graduate students including Taosha Fan, Giorgos Mamakoukas, and Ian Abraham, with research spanning robotic exploration using electrosense and mechanical contact, human-in-the-loop control, and shared control for rehabilitation devices. His lab has secured significant funding from the National Science Foundation, DARPA, and industry partners including Siemens and Ekso Bionics, supporting research in algorithmic matter, emergent behavior, and human-swarm collaboration. The Interactive & Emergent Autonomy Lab, led by Dr. Murphey, investigates how both autonomous systems and biological systems interact with their environments to learn and improve behaviors. Current projects include active learning and data-driven control, active perception in human-swarm collaboration, algorithmic matter and emergent computation, control for nonlinear and hybrid systems, cyber physical systems in uncertain environments, harmonious navigation in human crowds, information maximizing clinical diagnostics, reactive learning in underwater exploration, robot-assisted rehabilitation, and software-enabled biomedical devices. The lab collaborates with researchers across Northwestern and institutions including Georgia Tech, MIT, and industry partners.

Bernardo CockburnView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• Discontinuous Galerkin Methods
• +4 more

Bernardo Cockburn is a Distinguished McKnight University Professor in the School of Mathematics at the University of Minnesota. He has been a faculty member since 1987, progressing from Assistant Professor to Associate Professor in 1992, and achieving full Professor status in 1997. He also held positions as an Affiliate Professor at the University of Delaware (2019-2020) and Chair Professor of Mathematics at King Fahd University of Petroleum and Minerals in Saudi Arabia (2012-2014). Education: Ph.D. from University of Chicago (1986), Doctorat de 3eme Cycle from University of Paris VI/INRIA (1983), Masters and Licenciatura from Universidad Nacional de Ingenieria in Lima, Peru Research Focus: Numerical methods for partial differential equations, particularly discontinuous Galerkin methods Cockburn's research primarily centers on the devising and analysis of efficient methods for numerically solving linear and nonlinear partial differential equations . His most significant contribution has been in the development and analysis of discontinuous Galerkin methods , particularly the hybridizable discontinuous Galerkin (HDG) methods which he pioneered. His work spans error estimation for hyperbolic problems, continuous dependence for Hamilton-Jacobi equations, and numerous applications across fluid dynamics, structural mechanics, and electromagnetics. He has developed theoretical frameworks for superconvergence properties and created practical algorithms for a wide range of engineering applications. Analysis of his recent publications reveals a strong focus on hybridizable discontinuous Galerkin methods , with significant contributions to superconvergence theory, error estimation, and applications to diverse physical problems including Stokes flow, linear elasticity, Timoshenko beams, and convection-diffusion problems. His work demonstrates a clear trajectory from theoretical foundations to practical implementation, with increasing emphasis on curved domains, adaptive methods, and coupling techniques between different numerical approaches. Doctor Honoris Causa from Universidad Nacional de Ingenieria, Lima, Peru (2013) Invited Speaker at the International Congress of Mathematicians, Numerical Analysis Section (2010) Distinguished McKnight University Professor, University of Minnesota (2007) Cockburn has supervised an impressive 23 PhD students throughout his career, many of whom have gone on to become professors at major universities worldwide including the University of Puerto Rico, Purdue University, and University of Concepcion in Chile. His advisees have produced significant research in discontinuous Galerkin methods, particularly in applications to structural mechanics, fluid dynamics, and Hamilton-Jacobi equations. His research has been supported by numerous grants from the National Science Foundation and other funding agencies, enabling extensive collaboration with researchers across the United States and internationally. Cockburn leads a vibrant research group focused on computational mathematics, with particular emphasis on developing and analyzing discontinuous Galerkin methods. His work has fostered significant collaboration between mathematicians and engineers, with applications spanning aerospace, civil engineering, and materials science. The research group maintains strong connections with institutions worldwide, including regular collaborations with researchers in Peru, Chile, and Europe, reflecting Cockburn's international background and influence.

Leid ZejnilovicView profile

Assistant Professor

• Technology and Innovation Management
• Human-Computer Interaction
• Machine Learning
• +3 more

Leid Zejnilovic is an Assistant Professor at Nova School of Business and Economics (Nova SBE), where he co-founded the Data Science Knowledge Center and serves as Academic Director, and co-founded the Open and User Innovation Knowledge Center as Scientific Deputy Director. He also co-founded the Patient Innovation platform, enabling patients and caregivers to share self-made healthcare solutions. With a double PhD from Carnegie Mellon University and Católica-Lisbon School of Business and Economics, his career spans over 20 years of international consulting, academic entrepreneurship, and teaching at institutions like Imperial College Business School and Ludwig Boltzmann Institute. PhD in Strategy, Entrepreneurship and Technological Change (Carnegie Mellon University / Catholic University of Portugal, 2014) Master in Engineering and Public Policy (Carnegie Mellon University, 2012) Master in Information Technology (Dzemal Bijedic University, 2007) Bachelor in Telecommunications (University of Sarajevo, 2002) His research focuses on Technology and Innovation Management, Human-Computer Interaction, and data-driven solutions across healthcare, tourism, and education. He has published extensively in journals like California Management Review , PLoS ONE , and Marine Policy , with recent work analyzing big data in tourism, machine learning for oral health, and pandemic impacts on fisheries. As an Associate Editor for Data & Policy Journal , his contributions bridge academic research and real-world applications. Co-founding the Data Science for Social Good Foundation and leading over 100 talks in industry and academia, Zejnilovic's career emphasizes translating innovation into social and economic impact through platforms, policy, and education.

Lars Augestad LochstoerView profile

Professor

• Asset Pricing
• Asset Management
• Quantitative Finance
• +5 more

Lars Augestad Lochstoer is a Professor of Finance at the UCLA Anderson School of Management, where he teaches Empirical Methods in Finance and Data Analytics and Machine Learning in the Master of Financial Engineering program. He previously held faculty positions at Columbia University and London Business School, and served on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund from 2016 to 2022. Dr. Lochstoer earned his Ph.D. in Finance from the University of California, Berkeley's Haas School of Business in 2005, following his Sivilingeniør Business Economics degree from the Norwegian University of Science and Technology in 1999. His research focuses on understanding the economic mechanisms that drive asset prices, including stock market return dynamics, cross-sectional stock returns, exchange rates, and commodity markets. He has made significant contributions to asset pricing literature, particularly in volatility expectations, risk-return tradeoffs, and currency risk. His publication record reveals a strong focus on behavioral aspects of asset pricing, with recurring themes of investor expectations, volatility dynamics, and market anomalies. His work often combines theoretical models with empirical evidence, frequently incorporating quantitative methods and data science approaches. Recent publications show increasing attention to currency risk and multi-horizon risk-return relationships, reflecting evolving market conditions and research interests. EFA Viz Risk Management Prize for best paper in Energy Markets, Securities and Prices (2009) Michigan Ross School of Business Mitsui Finance Symposium Best Discussant Award (2012) UCLA Anderson Excellence in Teaching Award (2017, 2020, 2021) RFS Distinguished Referee Award (2021) As an active member of the academic finance community, Lochstoer serves as an associate editor for the Review of Finance and the Critical Finance Review, having previously served in the same capacity for the Review of Financial Studies. His professional service includes committee roles in major finance associations and extensive reviewing for top finance and economics journals. He has also contributed to practical finance through his service on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund.

Carsten RottView profile

Professor

• Particle Physics
• Astrophysics
• Neutrino Physics
• +5 more

Carsten Rott is a Professor in the Department of Physics & Astronomy at the University of Utah and holds the Jack W. Keuffel Memorial Chair until December 2025. His academic journey began with a Ph.D. in Physics from Purdue University (2004), preceded by undergraduate studies at the Universität Hannover. Rott has held academic positions at institutions including The Ohio State University (CCAPP Senior Fellow 2009-2013), Penn State University (postdoc 2005-2008), and Sungkyunkwan University in South Korea (Assistant Professor 2013-2017, Associate Professor 2017-2025). He has been a member of the IceCube Neutrino Telescope collaboration since 2005 and serves on committees like the IceCube-Gen2 Coordination Committee and JSNS2 Speakers Board. His research spans Particle Physics , Neutrino Astronomy , and Dark Matter Detection . Key projects include analyzing IceCube data for sterile neutrino signatures, studying cosmic-ray anisotropy, and investigating terrestrial gamma-ray flashes. Notable achievements include the Bruno Rossi Prize (2021) for high-energy astrophysics contributions. Rott's work involves multimessenger observations (neutrinos, gamma-rays, radio signals) and detector calibration innovations, such as those for the JSNS2 experiment. Recent publications focus on atmospheric neutrino oscillation parameters, TGF spectroscopy, and dark matter constraints. He employs machine learning techniques (CNNs) for event reconstruction and leads initiatives like the IceCube Master Class for student engagement. Grants include funding for IceCube upgrades (2024-2026) and Hyper-Kamiokande collaborations (2023-2026). As department chair since 2023, Rott continues to bridge experimental particle physics with astrophysical discoveries.

Ilaria PerugiaView profile

Professor

• Numerical methods for PDEs
• Finite element methods
• Discontinuous Galerkin methods
• +6 more

Ilaria Perugia is a University Professor (Univ.-Prof.) and Chair of Numerics of PDEs at the Department of Mathematics, Faculty of Mathematics, University of Vienna. She also serves as Deputy Head of the Research Platform Erwin Schrödinger International Institute for Mathematics and Physics. Her research focuses on numerical methods for partial differential equations with applications in computational physics and engineering. Professor Perugia's primary research interests include: Numerical methods for PDEs Finite element methods Discontinuous Galerkin methods Trefftz methods Virtual element methods Space-time methods Computational electromagnetics Wave propagation problems Nonlinear reaction-diffusion problems Her work spans theoretical analysis, algorithm development, and practical implementation of numerical methods for solving complex physical phenomena. Her recent publications demonstrate a strong focus on space-time methods, virtual element methods, and structure-preserving discretizations for wave equations, heat equations, and other PDEs. She has made significant contributions to the development of stable and efficient numerical schemes that preserve important physical properties of the underlying continuous problems, particularly in the context of wave propagation and computational electromagnetics. Professor Perugia leads a research group comprising several researchers and students including Mattia Corti, Matteo Ferrari, Monica Nonino, Andrea Scaglioni, Paul Stocker, Enrico Zampa, and Marco Zank. Her group actively collaborates on projects related to numerical analysis and scientific computing, with particular emphasis on developing novel discretization techniques for challenging PDE problems.

Tony ShardlowView profile

Professor

• Stochastic Differential Equations
• Bayesian Inverse Problems
• Statistical Shape Modelling
• +3 more

Professor Tony Shardlow is affiliated with the Department of Mathematical Sciences at the University of Bath , UK. His research spans Stochastic Differential Equations , Bayesian Inverse Problems , Statistical Shape Modelling , and Numerical Analysis , with applications in data science, medical imaging, and computational physics. Labs/Teams : IMI (Institute for Mathematical Innovation), Prob-L@b (Probability Laboratory at Bath), SAMBa (EPSRC Centre for Doctoral Training in Statistical Applied Mathematics). Recent Research Trends : Focus on geometric shape analysis using flow fields, stochastic PDEs for particle dynamics, and Bayesian inference techniques in industrial and medical contexts. Collaborative work bridges computational mathematics with applications in hip dysplasia assessment and pesticide delivery systems. Advising : Supervised Fengpei Wang's PhD thesis on dimension reduction and Sinkhorn algorithms. Collaborates with researchers like N. D. F. Campbell and C. Poon. Teaching : Offers MA30170 - Numerical Solution of Elliptic PDEs.

Plamen AtanassovView profile

Professor

• Electrocatalysis
• Bio-electrocatalysis
• Energy Conversion
• +2 more

Plamen Atanassov is a Chancellor’s Professor in the Department of Chemical and Biomolecular Engineering with a joint appointment in Materials Science and Engineering at the Samueli School of Engineering, University of California, Irvine . His work focuses on developing advanced electrocatalysts for energy conversion and storage systems. Department: Chemical and Biomolecular Engineering, Materials Science and Engineering Academic Rank: Professor (Chancellor’s Professor honorific) Research Themes: Electrocatalysis, Bio-electrocatalysis, Fuel Cells, Energy Harvesting Research Interests: Prof. Atanassov specializes in non-platinum and platinum-based electrocatalysts for fuel cells, bio-inspired energy systems , and carbon dioxide valorization technologies . His group has pioneered: Atomically dispersed metal-nitrogen-carbon catalysts Novel synthesis methods for durable electrocatalysts Machine learning-guided fuel cell optimization Electrochemical ammonia and urea production Hydrogen evolution reaction with non-precious metals Scientific Contributions: With over 380 peer-reviewed papers (101 h-index), 50 issued US patents , and 35+ PhD students advised , his work bridges fundamental electrochemistry and industrial-scale energy solutions. Recent publications emphasize catalyst durability under realistic conditions, CO2 reduction, and sustainable manufacturing practices.

Karisa ClowardView profile

Associate Professor

• International Relations
• Comparative Politics
• Non-Governmental Organizations (NGOs)
• +4 more

Karisa Cloward is an Associate Professor in the Department of Political Science at Southern Methodist University (SMU), with affiliations at the John Goodwin Tower Center for Political Studies. Her research bridges international relations and comparative politics, focusing on NGOs, international norms, transnational activism, and Sub-Saharan African politics. She holds a Ph.D. from Yale University (2010). Education: Ph.D. in Political Science (Yale, 2010), M.Phil. (2007), M.A. (2005), B.A. in International Relations and Economics (University of the Pacific, 2003, summa cum laude). Research Interests: Explores how local communities respond to international norms, particularly regarding gender-based violence and FGM/C. Uses Kenya as a key case study, emphasizing NGO dynamics and policy implementation. Recent work includes analyzing civil society workers' transitions to political office and the NGO lifecycle in Kenya. Awards: Finalist for the Charles Grawemeyer Award (2018) and recipient of the Robert O. Keohane Award (2014). Over 10 grants and fellowships, including Tower Center fellowships and SMU research grants. Grants & Service: Extensive grants from institutions like the Tower Center and SMU. Serves as Undergraduate Advisor in the Political Science Department and on Tower Scholars Program committees. Engages in community service through gender rights initiatives and public lectures on harmful cultural practices. Books & Publications: Authored When Norms Collide (Oxford UP, 2016), a finalist for the Grawemeyer Award. Over 10 refereed articles in journals like Studies in Comparative International Development and International Organization .