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Gojko LalicView profile

Professor

• Organic Chemistry
• Catalysis
• Transition-Metal Chemistry
• +3 more

Gojko Lalic is a Professor in the Department of Chemistry at the University of Washington. He holds a Ph.D. from Harvard University (2004). His research focuses on developing transition-metal catalyzed reactions for organic synthesis, particularly targeting medicinally relevant compounds. Key areas include differential dihydrofunctionalization of terminal alkynes, regio- and stereoselective formation of substituted alkenes, and organoboron compound transformations. The Lalic Lab emphasizes practical applications in pharmaceuticals while exploring reaction mechanisms and natural product synthesis. Education: Ph.D., Harvard University, 2004. Research interests span organometallic chemistry, physical organic chemistry, and synthetic organic chemistry. Recent work highlights include innovations in hydroalkylation, copper-catalyzed olefinations, and prebiotic membrane studies. His research has led to advancements in synthesizing trisubstituted alkenes, allylic amines, and enantioselective reactions. Articles from 2020–2025 reflect a focus on catalytic methods, stereoselectivity, and prebiotic chemistry. Awards: None explicitly listed. Grants include NSF CAREER funding for catalytic methods (2013). Advising: Accepting new graduate students. Lab facilities include Bagley Hall labs and offices (BAG 292). Collaborates on prebiotic membrane studies and pharmaceutical synthesis projects.

Daniel BerkowitzView profile

Professor

• Comparative Institutions
• Development Economics
• Applied Microeconomics
• +3 more

Roles and Affiliations: Daniel Berkowitz is a Professor of Economics at the University of Pittsburgh. He holds a secondary appointment at the Graduate School of Public and International Affairs. His research focuses on comparative institutions, development economics, and applied microeconomics, with a strong emphasis on legal frameworks and economic reforms in transitioning economies, particularly China and post-Soviet states. Recent Activities: Visiting Researcher, Bank of Finland Institute for Emerging Economies (2024) Visiting Professor, Heinz School of Carnegie Mellon University (2022) Executive Secretary of the Association for Comparative Economic Studies (2019-2021) Former Co-Managing Editor of the Journal of Comparative Economics (2007-2016) Research Interests: Berkowitz’s work explores how legal institutions, political dynamics, and historical contexts shape economic outcomes. Key themes include: The impact of legal transplants on trade and development State-owned enterprises and reforms in China Environmental and energy economics, including fracking’s economic implications Bureaucratic capacity and policy effectiveness His interdisciplinary approach merges law, economics, and policy analysis. Publications Overview: His recent work addresses topics like household financial strategies in fracking regions, bureaucratic influences on income distribution, and corporate governance in China. Earlier research examined Russia’s market reforms and the long-term effects of legal systems on trade. Grants and Labs: Active in cross-institutional collaborations, including visiting roles at Tsinghua University and the National Bureau of Economic Research. No specific lab affiliations were mentioned, but his work often involves empirical field studies and institutional analysis.

Chrysoula ZervaView profile

Assistant Professor

• Machine Learning
• Natural Language Processing
• Uncertainty Quantification
• +5 more

Chrysoula Zerva is an Invited Assistant Professor in the Department of Electrical and Computer Engineering at Instituto Superior Técnico and a post-doc researcher in the SARDINE group at the Instituto de Telecomunicações. She holds a PhD from the University of Manchester (2019) and was awarded the EPSRC Doctoral Prize Fellowship for the “Fake Health News” project. Her research focuses on uncertainty quantification, fairness, explainability in NLP, and machine translation evaluation. Key interests include adversarial attacks, bias mitigation, and disentangled representation learning. Dr. Zerva’s work spans conformal prediction frameworks, dialect bias in reward models, and response clarity classification. Her contributions to MT evaluation and quality estimation have been highlighted in WMT shared tasks. Recent studies address ethical AI challenges, such as the societal impacts of LLMs and biases against African American language. Scientific Awards: EPSRC Doctoral Prize Fellowship Labs/Teams: Member of the SARDINE research group Her publications investigate cutting-edge topics like CLIPScore metrics, non-exchangeable conformal methods, and context-aware NMT for business dialogues. Collaborations include Unbabel and participation in international shared tasks.

Saeed LangarudiView profile

Associate Professor

• System Dynamics
• Environmental Economics
• Resource Management
• +3 more

Saeed Langarudi is an Associate Professor in the Department of Geography at the University of Bergen. His research focuses on System Dynamics modeling applied to environmental and resource management challenges, including oil taxation, water scarcity, groundwater management, and policy analysis. He collaborates with institutions such as New Mexico State University and the University of Maryland, contributing to interdisciplinary projects addressing sustainability and resource governance. Langarudi’s work emphasizes dynamic simulation to explore complex systems, particularly in energy and water sectors. His recent studies include modeling New Mexico’s oil production taxation, reference mode elicitation in System Dynamics, and transboundary aquifer prioritization. He also investigates socio-technical policy frameworks for desalination and agricultural water use efficiency. Key Research Themes : System Dynamics theory, resource management, environmental policy, hydrology, and sustainability. Collaborations : Active partnerships with New Mexico State University, University of Maryland, and James Madison University. His publications highlight innovative applications of System Dynamics to real-world challenges, such as mitigating drought in drylands and addressing the tragedy of the commons in groundwater use. Despite prolific output, no scientific awards are explicitly noted in the provided materials.

Jon T. NjardarsonView profile

Professor

• Organic Chemistry
• Synthetic Methods Development
• Natural Products Synthesis
• +3 more

Jon T. Njardarson is a Professor in the Department of Chemistry and Biochemistry at the University of Arizona. Previously, he held positions as Associate Professor (2010–2016) and Assistant Professor (2004–2010) at Cornell University and Tri-Institutional institutions (Rockefeller University, MSKCC, Weill-Cornell). His research focuses on developing novel synthetic strategies and synthesizing complex natural products, emphasizing the synergy between method innovation and target synthesis. He earned his Ph.D. from Yale University (1994–2001) and B.S. from the University of Iceland (1990–1993). His research group explores synthetic organic chemistry, including polymer synthesis from sulfur-based monomers, total synthesis of bioactive natural products, and reaction development. Key themes include inverse vulcanization for advanced materials, stereocontrolled cascade reactions, and sustainable polymer feedstocks. Notable contributions include studies on flame-retardant polymers, NMR characterization of sulfur-based polymers, and educational initiatives for blind/visually impaired students. His work bridges fundamental chemistry with practical applications in materials science and pharmaceuticals.

Kevin LangergraberView profile

Associate Professor

• Primate Behavior
• Conservation Biology
• Genetics
• +3 more

Dr. Kevin Langergraber is an Associate Professor at Arizona State University's School of Human Evolution and Social Change. His research focuses on primate behavior, conservation biology, and evolutionary anthropology, particularly through his leadership in the Ngogo Chimpanzee Project in Uganda's Kibale National Park. This long-term study examines chimpanzee social structures, health dynamics, and ecological interactions, with a strong emphasis on conservation strategies against poaching and disease transmission. Key research interests include genetic adaptation in primates, the impact of human activities on wildlife communities, and behavioral ecology across varying environmental conditions. He has pioneered methods combining genomic analysis, field observations, and machine learning to study ape behavior and biodiversity monitoring. His work integrates socioecological data with physiological measurements to understand aging patterns, reproductive strategies, and disease epidemiology in wild populations. Recent publications highlight advancements in wildlife conservation protocols, primate menopause studies, and innovative datasets for behavior recognition. Collaborations span global institutions to address challenges in primate conservation and evolutionary biology. Dr. Langergraber also engages in public outreach through documentaries and crowdfunding initiatives to fund anti-poaching patrols and support chimpanzee research.

• Sustainability
• Textile Chemistry
• Cosmetics
• +7 more

Professor Richard Blackburn is a Professor of Sustainable Materials at the University of Leeds, School of Design. His research focuses on applying sustainability principles to materials science, textile coloration, and cosmetics. He leads the Sustainable Materials Research Group and co-founded Keracol Limited, a spin-out company developing natural cosmetic ingredients from plant extracts. His work includes innovations in dyeing technologies, reducing microfibre pollution, and sustainable textile processing. Education: BSc (Hons) and PhD in Colour Chemistry from the University of Leeds Professional Memberships: Fellow of the Royal Society of Arts, Royal Society of Chemistry, and Society of Dyers and Colourists. Key research interests span sustainable textile practices, natural dye extraction, polymer chemistry, and green chemistry applications. He has pioneered methods for extracting actives from food waste for cosmetics and developed fluorine-free repellent coatings for textiles. Awards: Silver Medal (Society of Dyers and Colourists, 2016) Fellowship (Society of Dyers and Colourists, 2017) Centenary Medal (2018 & 2019) Freedom of The City of London (2013) Advising & Grants: Leads multidisciplinary projects on textile sustainability, including FoodWasteNet and the Business of Fashion, Textiles and Technology partnership. His work bridges academia and industry through spin-offs like Keracol and RITE Group, focused on minimizing environmental impact. Labs & Teams: Head of the Sustainable Materials Research Group and collaborator with global industry partners to advance sustainable materials innovation.

Shabnam RaayaiView profile

Assistant Professor

• Fluid Mechanics
• Aerodynamics
• Flow Control
• +4 more

Shabnam Raayai is an Assistant Professor in the Department of Mechanical Engineering at Boston University. Her research focuses on fluid mechanics, aerodynamics, and flow control, particularly exploring bio-inspired designs such as riblet surfaces and V-formation dynamics. She holds a PhD and MS in Mechanical Engineering from MIT. Education: PhD (MIT, 201?), MS (MIT, 201?) Her research integrates experimental, theoretical, and computational approaches to study drag reduction techniques and fluid dynamics in nature-inspired systems. Key interests include fluid-solid interactions, laser diagnostic methods, and complex geometric boundary analyses. Her recent work examines riblet-covered surfaces for drag reduction, bio-inspired formations, and multi-propeller flow dynamics. She has pioneered techniques like double-light-sheet PIV for studying opaque object flows and volume-controlled cavity expansion for soft material analysis. Awards: Rowland Fellowship (2019-2025) Andreas Acrivos Dissertation Award (2018) Rising Stars in Mechanical Engineering (2018) Her grants and advising activities are not detailed here, but her research team actively explores nature-inspired fluid dynamics applications in engineering systems.

Vadim CheianovView profile

Associate Professor

• Quantum Many-Body Physics
• Condensed Matter Theory
• Ultracold Atomic Systems
• +6 more

Dr. Vadim Cheianov is an Associate Professor in the Leiden Institute of Physics (LION) within the Faculty of Science at Leiden University. He leads the Cheianov Group, which specializes in theoretical quantum many-body physics with applications in condensed matter and ultracold atomic systems. His research interests span several cutting-edge domains in theoretical physics, including the behavior of mobile quantum impurities in quantum fluids, adiabatic protocols in driven many-body systems, mechanisms of non-ergodicity in quantum systems such as many-body localization and integrability, and the macroscopic manifestations of quantum anomalies like the chiral magnetic effect in condensed matter and cosmological contexts. The recent publications from his group reflect a strong focus on quantum dynamics, topological effects, and fundamental aspects of quantum statistical mechanics. These works integrate concepts from condensed matter, ultracold atoms, quantum field theory, and mathematical physics, often bridging theoretical predictions with potential experimental observations in quantum simulators and solid-state devices. Scientific Awards: NWO Physics Projectruimte Grant (2018) Dr. Cheianov has secured competitive research funding, including the NWO Physics Projectruimte grant awarded in 2018, which supports innovative and high-risk theoretical physics research. While formal advising roles are not detailed in the provided text, his leadership of an active research group implies mentorship of PhD and master’s students. His work contributes significantly to foundational understanding in quantum matter and has implications for quantum technologies and emergent hydrodynamic phenomena in quantum systems. The Cheianov Group operates within the Quantum Matter and Optics division of LION, collaborating with experimental and theoretical physicists to explore non-trivial quantum phenomena in both synthetic and natural quantum materials.

• Entomology
• Insect Behavior
• Parasitoid Wasps
• +4 more

Hans Smid is a researcher at Wageningen University & Research working in the Laboratory of Entomology. He holds a doctorate and serves as a research supervisor and collaborator on multiple projects focusing on insect behavior, particularly parasitoid wasps and their interactions with host plants and insects. Dr. Smid's research focuses on several key areas in entomology and insect neuroscience: Parasitoid wasp behavior and biological control applications Olfactory learning and memory in insects Neural mechanisms underlying insect behavior Plant-insect interactions, particularly in agricultural contexts Neuroethology of small-brained insects Brain size evolution in parasitic wasps His recent work shows a strong emphasis on understanding how insects like Pieris brassicae butterflies and Cotesia glomerata wasps use olfactory cues in their foraging and oviposition behaviors. This research has important implications for developing more sustainable agricultural practices through biological control methods, as evidenced by his 2024 publication on strawberry cultivation and parasitic wasp attraction. Dr. Smid's research has generated significant attention, with his work being picked up by 4 news outlets, posted by 9 X users, and shared on Facebook pages, indicating broad interest in his findings. His publications have accumulated readers on Mendeley and citations in Scopus. As a research supervisor, Dr. Smid has guided multiple PhD students including J. de Bruijn and J. Groothuis through their doctoral work. His collaborative approach is evident in the numerous multi-investigator projects he participates in, often working alongside colleagues like Marcel Dicke and Louise Vet. Current active projects include 'Apport, parasitic wasps as biodetectors' and 'Smart parasitoids: effective biological control.' Dr. Smid maintains an active research profile with continuous output, including multiple publications in 2024. His work bridges basic research on insect behavior with practical agricultural applications, demonstrating the real-world impact of entomological research.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +7 more

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

• Cognitive Neuroscience
• Biological Psychology
• Perceptual Decision Making
• +7 more

Hauke Heekeren is a full Professor in the Division of Biological Psychology and Cognitive Neuroscience within the Department of Education and Psychology at Freie Universität Berlin. He leads a research group focused on the neural mechanisms underlying human decision-making, emotion regulation, and social cognition, utilizing neuroimaging and computational approaches. His research interests center on understanding how the human brain processes value, makes perceptual and economic decisions, regulates emotions, and engages with social environments, including digital platforms like social media. His work integrates methods from cognitive neuroscience, psychology, and computational modeling to explore fundamental aspects of brain function. The recent publications highlight a strong trend in investigating decision-making under uncertainty, the neural valuation system, emotion regulation strategies, and the social brain. His studies frequently employ fMRI and behavioral paradigms to dissect the prefrontal-striatal and fronto-parietal circuits involved in cognition. Over time, his research has expanded from basic perceptual decisions to complex social and economic behaviors. While no specific awards are listed in the provided content, his publication record in top-tier journals such as Nature Human Behaviour , Nature Neuroscience , and PNAS reflects significant scientific impact and recognition in the field of cognitive neuroscience. As a principal investigator, he likely supervises graduate students and postdoctoral researchers, though no named students are listed. His work is supported by research grants, implied by his extensive publication output and institutional position, though specific funding sources are not detailed in the provided text. He is affiliated with the Division of Biological Psychology and Cognitive Neuroscience at Freie Universität Berlin, where he conducts research using advanced neuroimaging techniques to explore the neural basis of human behavior.

Brian ZiebartView profile

Professor

• Machine Learning
• Robotics
• Assistive Technologies
• +3 more

Brian Ziebart is a Professor in the Department of Computer Science at the University of Illinois at Chicago. He earned his Ph.D. in Machine Learning from Carnegie Mellon University in 2010. Research Interests: Machine Learning, Robotics, Assistive Technologies, Human-Computer Interaction, Adversarial Prediction, Inverse Optimal Control, Structured Prediction. Key Grants: NSF CAREER (RI)-1652530, NSF EAGER (SCH)-1650900, NSF IIS-1526379, NSF III-1514126, Future of Life Institute grant, NSF NRI-1227495. Notable Awards: Best Paper Runner-Up (ECCV, 2012), Best Paper Award (ICML, 2011), CMU School of Computer Science Dissertation Honorable Mention (2011). Teaching & Leadership: Senior Lecturer at CMU, actively involved in mentoring students and leading research teams.

Hua HeView profile

Professor

• Mixture population modeling
• Causal inference
• Longitudinal data analysis
• +5 more

Hua He is a Professor in the Department of Biostatistics and Data Science at Tulane University's School of Public Health and Tropical Medicine, specializing in advanced statistical methodologies for public health research. Her work bridges theoretical biostatistics with practical applications in infectious disease diagnostics and causal inference frameworks. Her academic credentials include: PhD in Statistics, University of Rochester MA in Statistics, University of Rochester BS in Mathematics, Southwest Normal University, China Dr. He's research focuses on mixture population modeling, causal inference, longitudinal data analysis, and ROC analysis, with significant applications in tuberculosis diagnostics and molecular epidemiology. She develops novel statistical approaches for social media data analysis, drinking outcome modeling, and zero-modified datasets, emphasizing methodological rigor in public health contexts. Her textbook Applied Categorical and Count Data Analysis and edited volume Statistical Causal Inferences and Their Applications in Public Health Research establish her as a leading methodological authority. Recent publications (2023-2025) demonstrate a concentrated focus on CRISPR-based diagnostic technologies and next-generation sequencing for tuberculosis detection, with strong emphasis on point-of-care applications, diagnostic accuracy validation, and low-resource setting adaptations. These works integrate biostatistical innovation with molecular diagnostics to address critical gaps in infectious disease control. Her scientific recognition includes: Teaching Excellent Award (2020) Dr. He directs the Methodology/Biostatistics Unit at Tulane University Translational Science Institute (TUTSI) and serves as Principal Investigator for an NIH R01 grant Moving beyond description: statistical and causal inference for social media data , alongside multiple pilot studies and foundation-funded projects. She has contributed biostatistical expertise to dozens of NIH-funded investigations, particularly in tuberculosis and infectious disease research. As Co-director of TUTSI's Clinical Research Core and Statistical Deputy Editor for the American Journal of Public Health , she leads institutional research infrastructure while advancing methodological standards in public health science.

Stefan KlonnerView profile

Professor

• Development Economics
• Microeconomics
• Poverty Alleviation
• +4 more

Stefan Klonner serves as Professor of Development Economics at Heidelberg University's South Asia Institute since 2010, leading the Development Economics Team. His academic trajectory includes a Ph.D. in Economics from Heidelberg University (2001) and a Master's in Statistics and Econometrics from the University of Utah (1996), with prior appointments at Yale University (postdoctoral fellow and visiting lecturer), Cornell University (assistant professor), and Goethe University Frankfurt (Professor of International and Development Economics). His educational credentials: Ph.D. in Economics, Ruprecht-Karls University Heidelberg, 2001 Master's in Statistics and Econometrics, University of Utah, 1996 Klonner's research centers on microeconomic analysis of low-income economies, specializing in credit/insurance markets, health interventions, poverty targeting mechanisms, and impact evaluation of welfare programs. His extensive fieldwork in South India combines rigorous quantitative methods with deep regional expertise to address practical policy challenges in development contexts. This work bridges theoretical economics with real-world applications for poverty reduction. Analysis of his recent publications reveals consistent methodological rigor in evaluating social programs across India and Burkina Faso, with dominant themes including disaster resilience, maternal health financing, employment guarantee schemes, and poverty targeting. His research demonstrates strong regional specialization in South Asia while addressing universal development challenges through microeconometric approaches and field experiments. Professor Klonner actively engages public discourse through expert commentary in media outlets like Die Tageszeitung (taz) and La Liberté, along with invited lectures at institutions including the State Bank of India Leadership Institute and University of Cologne. His presentations address Sustainable Development Goals, fair trade, and poverty measurement methodologies. As head of the Development Economics Team within Heidelberg's South Asia Institute, he contributes to interdisciplinary research on South Asian economies through the Centre for Asian and Transcultural Studies (CATS), directing field studies and policy-relevant analysis focused on South India.