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Vaibhav SrivastavaView profile

Associate Professor

• Cyber Physical Human Systems
• Networked Multi-Agent Systems
• Mathematical Neuroscience
• +3 more

Vaibhav Srivastava is an Associate Professor in the Electrical and Computer Engineering Department at Michigan State University (MSU), with affiliations in Mechanical Engineering and the Cognitive Science Program. He holds a Ph.D. and M.A. from the University of California, Santa Barbara, and a BTech from the Indian Institute of Technology Bombay. His research focuses on Cyber-Physical Human Systems, including networked multi-agent systems, mathematical neuroscience, and autonomous robotics. He has held leadership roles in conferences like the American Control Conference and serves as an Associate Editor for the ASME Journal of Dynamical Systems and IEEE Open Journal of Control Systems. Education: Ph.D. in Mechanical Engineering, University of California, Santa Barbara (2012) M.A. in Statistics, University of California, Santa Barbara (2012) M.S. in Mechanical Engineering, University of California, Santa Barbara (2011) BTech in Mechanical Engineering, Indian Institute of Technology Bombay (2007) Research Interests: Prof. Srivastava’s work bridges human decision-making with engineering systems, emphasizing mixed human-robot teams, networked systems, and mathematical models of neural processes. His projects address challenges in autonomous vehicles, surveillance strategies, and collaborative robotics, supported by grants from NSF, ONR, and the Army Research Office. Recent Trends in Articles: His publications explore adaptive control strategies for UAVs, trust-aware autonomy, and multi-fidelity models for human-robot collaboration. Key themes include robust trajectory estimation, impedance tuning, and epidemic modeling in networked environments. Awards: Best Student Paper Award (coauthor), European Control Conference 2014 Grants & Advising: He has secured funding for projects on data-driven control and human-in-the-loop systems. His advising includes contributions to robotics and control theory, with a focus on interdisciplinary approaches combining cognitive science and engineering. Labs/Teams: Engaged in collaborative efforts across MSU’s College of Engineering, focusing on soft robotics, decision-making algorithms, and autonomy in dynamic environments.

Vincent HumphreyView profile

Lecturer

• Climate Change
• Earth System Models
• Water and Carbon Cycles
• +3 more

Dr. Vincent Humphrey is a Lecturer at ETH Zurich's Department of Environmental Systems Science, specializing in climate dynamics and Earth system modeling. His research focuses on climate change impacts, satellite observations, and machine learning applications in environmental science. He holds a PhD in Land-Climate Dynamics from ETH Zurich (2017) and completed postdoctoral fellowships at institutions including Caltech and the University of Zurich. Education PhD (2014-2017): ETH Zurich, Land-Climate Dynamics MSc (2011-2014): University of Lausanne, Environmental Geosciences BSc (2008-2011): University of Lausanne, Geosciences and Environment Research Interests Humphrey’s work addresses climate feedback mechanisms, terrestrial water and carbon cycles, and the integration of satellite data (e.g., GRACE, GPS) into Earth system models. He develops machine learning tools to analyze time series data and improve model accuracy. Key projects include CONSTRAIN (constraining climate projections) and GRUN (global runoff dataset). Awards ETH Medal (2018) Advising & Grants Humphrey has contributed to major initiatives like the Global Sea Level Budget Group and collaborated on datasets such as GRACE-REC and GRUN. His research bridges observational and modeling approaches to understand climate system interactions. Labs/Teams He is affiliated with ETH Zurich’s Climate Physics group and collaborates with institutions like NASA’s Jet Propulsion Laboratory (via Caltech).

• Medical Robotics
• Image-guided Surgery
• Teleoperation Systems
• +3 more

Tim Salcudean is a Professor in the Department of Electrical & Computer Engineering and School of Biomedical Engineering at the University of British Columbia, holding the Charles A. Laszlo Chair in Biomedical Engineering. His research focuses on medical robotics, teleoperation systems, and image-guided interventions, with notable contributions to ultrasound technology, needle steering, and surgical robotics. He collaborates with clinicians to advance diagnostic and therapeutic methods, particularly in prostate cancer imaging and robot-assisted surgery. Key research themes include haptic interfaces, control systems for teleoperation, and biomedical device development. His work combines robotics, control theory, and medical imaging to enhance precision and safety in surgical procedures. Notable projects involve robotic systems for medical ultrasound and adaptive control strategies for stable teleoperation under time delays. Publications span over three decades, emphasizing medical robotics, image-guided interventions, and control systems. His research has been widely cited, reflecting significant impact in both engineering and healthcare fields. Current efforts aim to integrate artificial intelligence with medical imaging to improve cancer diagnosis and treatment planning.

Suzanne CarbotteView profile

Research Professor

• Marine Geophysics
• Seismology
• Subduction Zone Processes
• +3 more

Suzanne Carbotte is the Bruce C. Heezen/Lamont Research Professor at Columbia University's Lamont-Doherty Earth Observatory. Her research focuses on marine geophysics, seismology, and subduction zone processes, with a particular emphasis on the Cascadia Subduction Zone, Mid-Ocean Ridges, and volcanic systems like Axial Seamount. She has led expeditions in the Pacific and Atlantic Oceans, including nearshore studies in New York. Education: BSc (University of Toronto), MSc (Queen's University), PhD (University of California Santa Barbara). Key Projects: CASIE21 seismic imaging experiment, cyberinfrastructure development for marine geoscience data. Recent Focus: Structural segmentation of Cascadia's megathrust, subduction zone fluid dynamics, and crustal melt transport at mid-ocean ridges. Her research integrates seismic tomography, wide-angle reflection/transmission data, and multibeam bathymetry to understand tectonic processes. She collaborates on global initiatives like the Global Multi-Resolution Topography synthesis and manages data repositories for the Rolling Deck to Repository (R2R) program. Recent publications highlight advances in imaging subduction zone structures, magma systems at mid-ocean ridges, and improving tsunami hazard models through integrated geophysical observations.

Jenny CollierView profile

Professor

• Marine Geophysics
• Geodynamics
• Continental Margins
• +7 more

Professor Jenny Collier is a Professor of Marine Geophysics at Imperial College London's Department of Earth Science & Engineering within the Faculty of Engineering. She holds affiliations with the Dynamic Earth research group, Earth Observation Network, Earth and Planets, Geodynamics: Core to Surface, Hazards, and Marine and Coastal Environments. Her research focuses on mantle plumes, continental breakup, subduction zone processes, and the solid Earth water cycle, with notable contributions to understanding volcanic margin formation and catastrophic megaflood events in the English Channel. Collier has led expeditions using seismic imaging, sidescan sonar, and multibeam bathymetry to investigate oceanic crust structure and tectonic evolution. Education: PhD in Geophysics, University of Cambridge (1986-89) MSc in Geology, University of Durham (1985-86) Research Interests: Collier's work integrates geophysical field data and numerical modeling to study continental rifting, magmatism at volcanic margins, and fluid dynamics in subduction zones. Key projects include the VOILA initiative examining volatile recycling in the Lesser Antilles and the English Channel megaflood hypothesis. She investigates seaward-dipping reflectors, crustal accretion mechanisms, and the role of mantle plumes in continental breakup. Advising & Grants: Supervises PhD students and postdocs through grants from UK research councils. Recent projects include NERC-funded studies on South Atlantic magmatism and Imperial College studentships exploring marine geophysics. She advises on competitive fellowship applications and has secured funding for ocean-bottom seismometer deployments in the Caribbean. Labs & Teams: Core member of the Geodynamics: Core to Surface research group at Imperial. Collaborates with institutions like ION-GXT (South Atlantic studies) and NAG-TEC (North Atlantic research). Active in the Earth Observation Network and Grantham Institute for climate-related geohazards.

Steve GoodmanView profile

Professor

• Meta-research
• Research reproducibility
• Clinical trial methodology
• +5 more

Steve Goodman is a Professor of Epidemiology and Population Health and Medicine at Stanford University, serving as Associate Dean of Clinical and Translational Research. He co-founded and co-directs the Meta-research Innovation Center at Stanford (METRICS) and leads the Stanford Program on Research Rigor and Reproducibility (SPORR). His work focuses on improving research methodology, reproducibility, and evidence synthesis, particularly in clinical trials and biomedical research. Goodman has held leadership roles in editorial boards, including Annals of Internal Medicine and Clinical Trials , and chairs the Methodology Committee at PCORI. Education: AB in Biochemistry and Applied Math (Harvard), MD (NYU), Pediatrics residency (Washington University), MHS in Biostatistics and PhD in Epidemiology (Johns Hopkins). Former faculty at Johns Hopkins from 1989-2011, where he directed the Division of Biostatistics and Bioinformatics. Research interests include meta-research, Bayesian methods, clinical trial reporting standards (CONSORT/SPIRIT guidelines), and educational initiatives to promote rigorous scientific practices. His articles emphasize reproducibility, transparency, and methodological improvements in biomedical research. Awards: 2016 Spinoza Chair in Medicine, 2019 Abraham Lilienfeld Award, National Academy of Medicine (2020) Grants/Initiatives: CTSA KL2/TL1 training programs, SPORR curriculum development Labs/Teams: METRICS, SPORR, and collaborations in global research integrity networks

James P McNamaraView profile

Professor

• Hydrology
• Geomorphology
• Hydrogeology
• +5 more

James P McNamara is a Professor in the Department of Geosciences at Boise State University , where he leads the Watershed Research Group (WPRG) . His academic focus is on hydrology, geomorphology, and hydrogeology, with extensive research in watershed processes, snow hydrology, and critical zone dynamics. He teaches courses in hydrology, hydrogeology, hydrologic analysis, and watershed hydrology. Education: Ph.D. in Hydrology, University of Alaska Fairbanks (1997) M.S. in Hydrogeology, Syracuse University (1991) B.S. in Geology, Western Michigan University (1987) Research Interests: McNamara's research centers on understanding how water moves through watersheds and the resulting impacts on landscapes and stream environments. His work integrates field experiments and modeling to explore hydrologic partitioning, snowmelt dynamics, karst systems, and the role of the critical zone in controlling water fluxes. He is particularly interested in the rain-snow transition zone and how climate change affects water availability and ecosystem function in semiarid and mountainous regions. Research Themes from Recent Publications: His recent publications highlight a strong focus on integrating advanced modeling techniques—including deep learning and geophysics-informed approaches—with field observations to study snow-dominated and karst-influenced watersheds. Themes include streamflow response to warming, post-wildfire hydrology, sediment transport, and the influence of subsurface structure on hydrologic partitioning. Students and Mentorship: McNamara mentors a number of graduate students, including Maggi Kraft , Josh Morell , Liz Crowther , and Nate Ashead , who are actively involved in field and modeling research within the WPRG. Contact: Email: jmcnamar@boisestate.edu Office: ERB 4165, Boise State University

Lorenz LinhardtView profile

Researcher

• Explainable AI
• Robust Machine Learning
• Machine Learning for Medical Applications
• +3 more

Lorenz Linhardt is a Researcher and PhD candidate at the Machine Learning Group of Technical University of Berlin, affiliated with the Berlin Institute for the Foundations of Learning and Data (BIFOLD). His research focuses on robustness of deep neural networks, spurious correlations, and representation learning, with applications in explainable AI and medical domains. Educational Background: M.Sc. in Computer Science, 2019 – ETH Zürich B.Sc. in Computer Science, 2016 – University of Vienna Research Interests: Robust Machine Learning : Addressing vulnerabilities in neural networks caused by spurious correlations and adversarial examples. Human Alignment : Bridging gaps between AI outputs and human judgments via representation learning and similarity metrics. Medical Applications : Leveraging machine learning for counterfactual inference in healthcare and dose-response modeling. Article Trends: Recent work emphasizes alignment between human judgments and AI systems, with studies on latent diffusion models, adversarial robustness, and forensic analysis of malware classifiers. Earlier contributions span astronomy surveys and decision tree optimization. Labs/Teams: Active in BIFOLD and the TU Berlin Machine Learning Group, focusing on foundational AI research.

Wolfgang ZachariasView profile

Professor

• Geodesy
• Satellite Geodesy
• Earth System Monitoring
• +3 more

Professor Wolfgang Zacharias is the Chair of Geodesy at the Technical University of Munich (TUM), leading the Geodetic Institute. His research focuses on satellite geodesy, Earth system monitoring, and climate change studies. He holds a PhD in Geodesy from TUM and has over 20 years of experience in geodetic data analysis and remote sensing applications. Education: PhD in Geodesy, Technical University of Munich, 2003 Diploma in Geomatics Engineering, Dresden University of Technology, 1998 Research Interests: Professor Zacharias specializes in integrating satellite altimetry, GPS, and radar interferometry for monitoring Earth's dynamic processes. His work addresses climate change impacts on sea levels, crustal deformation, and coastal erosion. He collaborates with international space agencies and contributes to global geodetic reference frameworks. Publications Trends: Recent articles emphasize multi-sensor data fusion, crustal deformation modeling, and climate-related geodetic applications. Key themes include satellite laser ranging, terrestrial laser scanning, and Earth rotation parameter estimation. Awards: 2023: Bavarian Order of Merit 2021: TUM Teaching Award Grants & Labs: He leads the Geodetic Institute at TUM, overseeing projects funded by the German Research Foundation (DFG) and the European Space Agency (ESA). Active in graduate education, he advises students in geodetic engineering and Earth observation technologies.

• Evolutionary Biology
• Animal Behavior
• Social Network Analysis in Wildlife
• +3 more

Lee Alan Dugatkin is a Professor in the Department of Biology at the University of Louisville. He is an evolutionary biologist, historian of science, and prolific science writer with over 150 academic publications and sixteen books to his credit. His work spans animal behavior, social network analysis in wildlife, power dynamics in animal societies, domestication experiments, and historical investigations of scientific theories. Author of acclaimed books like How to Tame a Fox and Build a Dog , Power in the Wild , and The Well-Connected Animal His research connects evolutionary biology with social network theory, examining animal cooperation, dominance hierarchies, and communication systems Has lectured at over 175 international venues across 20+ countries Dugatkin’s recent publications focus on animal social networks and rodent behavioral sinks, blending evolutionary theory with historical analysis. His books have been praised by the New York Times Book Review and Wall Street Journal for making complex science accessible. Notable former students include: Dr. Caroline Driscoll (Bellarmine University) Dr. Matthew Hasenjager (postdoctoral fellow) Dr. Ryan Earley (University of Alabama) Dr. Amy Cavanaugh (Truckee Meadows College) Dr. Trish Adams (California State University, Monterey) Dr. Michael Alfieri (Viterbo University) Dugatkin’s work has revolutionized understanding of animal social complexity, demonstrating that species from guppies to elephants exhibit intricate networks essential for survival. His research bridges evolutionary biology, behavioral ecology, and historical science analysis.

Athina DimopoulouView profile

Lecturer

• Legal History
• Ancient Greek Law
• Roman Law
• +3 more

Athina Dimopoulou is a Lecturer at the Law School of the National and Kapodistrian University of Athens, specializing in Legal History with a focus on Ancient Greek, Roman, and Byzantine law. She holds a PhD from the University of Paris-II Panthéon-Assas (1997) and has conducted advanced studies in Legal Papyrology and Epigraphy at Sorbonne and Greek institutions. Currently, she serves in the University’s Directorate of International and Public Relations, leading NKUA’s participation as work package leader on mobility in the CIVIS European Universities Alliance. She is also Vice President of the Greek Society of Legal History and contributes to academic publications like the Revue Internationale des Droits de l’Antiquité (RIDA). Her research explores legal frameworks of ancient and Byzantine societies, emphasizing socio-political dynamics such as political violence in Lesbos, water rights in Roman provinces, and the interplay between legal texts and everyday practices. Key interests include the evolution of legal systems, municipal governance, and the preservation of legal heritage through epigraphic and papyrological evidence. She actively trains law students for the International Roman Law Moot Court Competition and serves as a judge in these events. Dr. Dimopoulou has received the prestigious 'Récompense attribuée aux meilleures thèses' (1997) for her doctoral work. Her publications span monographs on Roman law’s modern relevance, legal structures in Lesbos across eras, and Byzantine legal sources. She has lectured globally, including at Harvard, Oxford, and Bologna, and collaborates internationally on legal history projects.

• Control Engineering
• Automation
• Model Predictive Control
• +5 more

Martin Steinberger is an Associate Professor at the Institute of Control and Automation (IRT) at Graz University of Technology (TU Graz). His work focuses on advanced control systems, networked control, model predictive control (MPC), and automation in manufacturing and autonomous systems. He leads research into real-time optimization, fault diagnosis, and safety-critical applications in industries like pharmaceuticals and automotive. Research interests include: Networked Control Systems Model-Based Control Autonomous Vehicle Trajectory Planning Process Automation Robotics and Industrial Automation His work bridges theoretical control engineering with practical applications in manufacturing lines, chemical processes, and autonomous driving. Recent studies emphasize digital real-time release testing for pharmaceuticals, universal control concepts for manufacturing systems, and safety-aware trajectory optimization for automated vehicles. His publications frequently address challenges in time-varying delays, packet loss mitigation, and robust observer design for nonlinear systems. Steinberger collaborates on EU-funded projects and regularly contributes to conferences like the International Workshop on Variable Structure Systems. His research often involves experimental validation, as seen in work with compact pharmaceutical manufacturing setups and small-scale autonomous vehicle testing platforms.

• Marine Biology
• Ocean Acidification
• Plankton Ecology
• +3 more

Maria Alguero-Muniz is a Researcher at the University of Glasgow , affiliated with the School of Biodiversity, One Health & Veterinary Medicine . Her work focuses on ocean acidification impacts , plankton community dynamics , and marine ecosystem responses to environmental stressors. Her research spans plankton physiology , trophic interactions , and climate change adaptation in marine systems. Recent projects include eDNA metabarcoding for aquaculture monitoring and upwelling simulations to study carbon cycling. Maria's publications (2012–2025) reveal a thematic focus on marine biogeochemistry , zooplankton ecology , and novel species taxonomy . Key collaborations include institutions studying pelagic food webs and CO2-driven ecological shifts . Scientific awards include funding from The Royal Society of Edinburgh (2021–2022) for planktonic threat monitoring in salmon aquaculture. Her work has been published in Nature Climate Change , Global Biogeochemical Cycles , and Frontiers in Marine Science .

Jennifer (Jenny) HutchingsView profile

Professor

• Sea Ice Dynamics
• Sea Ice Mechanics
• Climate Modeling
• +3 more

Jennifer (Jenny) Hutchings is a Professor in the College of Earth, Ocean, and Atmospheric Sciences (CEOAS) at Oregon State University, specializing in sea ice dynamics and mechanics through field-based validation of rheological models for climate investigations and ice forecasting. She earned her Ph.D. in Remote Sensing and B.S. in Physics from University College London, establishing foundational expertise in polar remote sensing and physical oceanography. Dr. Hutchings' research centers on Arctic sea ice deformation mechanisms, ocean-atmosphere interactions under evolving ice cover, and climate feedbacks related to mechanical property changes. Her work integrates in-situ field measurements with numerical modeling to understand declining sea ice volume, with emphasis on improving rheological representations in climate systems. She leads the Ice Watch program for standardized visual sea ice observation archiving. Current projects include discrete element modeling (Siku model), drifting buoy networks for deformation monitoring, and multi-source data synthesis to analyze Pacific Arctic sea ice changes. Her research directly addresses forecasting improvements for ice drift, thickness redistribution, and pressured ice conditions across spatial scales. Analysis of her 15 most recent publications reveals consistent focus on Arctic sea ice mechanics through integrated field-model approaches. Key themes include deformation process quantification, rheological model validation, and climate feedback analysis, with significant contributions to understanding 2006-2015 Arctic sea ice anomalies and model deficiencies. The available text does not specify graduate student advising activities or research grant details, though her leadership in major field campaigns implies active mentorship and funding acquisition. Dr. Hutchings has directed or participated in critical field programs including SIPEX-II (interdisciplinary Antarctic campaign), SEDNA (Arctic aerial/surface surveys), and Ice Station Polarstern (Weddell Sea buoy deployments), generating foundational datasets for the sea ice community through international collaborations.

Jukka SavolainenView profile

Professor

• Criminology
• Demography/Life Course
• Cross-National Comparisons
• +3 more

Jukka Savolainen is a Professor at Wayne State University's College of Liberal Arts and Sciences, holding affiliations with the Department of Criminology and Criminal Justice and Sociology. His research focuses on criminology, demography, cross-national crime comparisons, and societal violence mechanisms. He earned his Ph.D. from SUNY Albany and M.Soc.Sc. from the University of Helsinki. Teaching responsibilities include courses like Comparative Criminal Justice and Sociological Theory, reflecting his expertise in global crime analysis and social systems. His work interrogates systemic issues in criminal justice, policy impacts on marginalized groups, and societal structures influencing deviant behavior. Notable themes include Nordic welfare state paradoxes, racial disparities in policing, and hybrid security threats. Publications (2019-2025) explore policing reforms, immigration crime dynamics, adolescent victimization, and Nordic societal resilience. His recent work critiques academic integrity in sociology and links criminal behavior to health outcomes. Despite no listed awards, his scholarship addresses critical global issues like incarceration health risks and transnational crime adaptation. Research spans 40+ years, analyzing longitudinal data from birth cohorts to study life course criminology. Active in policy-oriented studies, he connects theoretical frameworks with empirical evidence, addressing both micro-level behavioral factors and macro-level structural inequities.