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Tomasz J. KozubowskiView profile

Professor

• Stochastic Modeling
• Distribution Theory
• Laplace Distribution
• +7 more

Dr. Tomasz J. Kozubowski is a Professor in the Department of Mathematics and Statistics at the University of Nevada, Reno. He holds a Ph.D. in Statistics and Applied Probability from the University of California, Santa Barbara, and an M.S. in Statistics from the University of Texas, El Paso. His research focuses on stochastic modeling of natural phenomena across climate science, geosciences, finance, and economics. Key research areas include distribution theory (particularly Laplace and heavy-tailed distributions), limit theory, mathematical statistics, financial mathematics, and stochastic models for hydro-climatic events. He has authored/co-authored over 120 publications, including two monographs, and serves on editorial boards of multiple journals. In 2016, he received the Sentinel of Science Award from Publons for peer review contributions. Education: M.S. in Statistics, University of Texas, El Paso Ph.D. in Statistics and Applied Probability, University of California, Santa Barbara His work emphasizes interdisciplinary applications, such as modeling extreme weather events, financial risk, and environmental variability. Publications span journals like Annals of the Institute of Statistical Mathematics , Scandinavian Journal of Statistics , and Journal of Computational and Applied Mathematics . He is actively involved in academic service, including editorial roles and peer review for over 100 journals. Research tools include advanced statistical methodologies and computational frameworks for high-dimensional data analysis.

Steve HoadView profile

Professor

• Cereal Improvement
• Grain Quality
• Crop Diversity
• +3 more

Steve Hoad is a Professor at Scotland's Rural College (SRUC), holding the position of Reader in Crop and Soils within the CSS: Crop Improvement & Agronomy Food Security Challenge Centre. His primary affiliations include SRUC's Peter Wilson Building in Edinburgh. Hoad specializes in cereal improvement, grain quality assessment, and crop diversity research. He advises the cereals sector through roles in the National List Seeds Committee and Malting Barley Committee, contributing to variety evaluation and agronomic standards. Education: Hoad earned a PhD in Crop Physiology from the University of Reading in 1990. His research focuses on cereal genetics, remote sensing applications in agriculture, and sustainable crop production. Key projects include the RESAS-funded initiatives exploring barley diversity and novel crops' environmental impacts, as well as AHDB's Recommended List trials for cereals. Teaching and Consultancy: He teaches Advanced Agronomy and Arable Crop Production, and provides agronomic guidance for industry events. His consultancy work includes advising on barley variety selection and malting quality. Research Output: Over 100 publications span cereal variety evaluations, fertilizer management, and crop modeling. Recent work emphasizes genomic characterization of crops like finger millet and the agronomic performance of barley landraces under high-yield conditions. Awards and Recognition: No specific scientific awards are listed, though his extensive contributions to cereal research and industry engagement highlight his expertise in the field. Grants and Projects: Active in securing funding for multi-year projects (e.g., £6.8M RESAS 2022-2027), focusing on crop resilience, diversity, and sustainable farming technologies. Collaborations include the James Hutton Institute and industry partners like AHDB.

• Computational Neuroscience
• Systems Neuroscience
• Neural Engineering
• +7 more

Matthew A. Smith is a Professor in the Department of Biomedical Engineering and the Carnegie Mellon Neuroscience Institute, where he serves as Co-Director of the Center for the Neural Basis of Cognition. His research bridges computational and experimental neuroscience to understand visual perception, cognition, and motor control. Dr. Smith's research focuses on neural engineering, visual perception, cognition, eye movements, and neural circuits . His laboratory investigates how groups of neurons interact to construct visual perception and translate it into cognitive processes and motor outputs. The lab employs a multi-scale approach combining single-neuron electrophysiology with global signals like EEG and near-infrared imaging, examining both normal and disease states of the brain. Analysis of his recent publications reveals strong trends in brain stimulation optimization (e.g., MiSO/OMiSO frameworks), neural population dynamics during cognitive tasks, visual cortex plasticity , and non-invasive neurotechnology development. His work spans fundamental neuroscience questions about working memory and perception while developing practical tools for brain monitoring and intervention. NIH K99/R00 Pathway to Independence Award Research to Prevent Blindness Career Development Award Dr. Smith has secured substantial funding from NIH, NSF, Research to Prevent Blindness, Schaffer Foundation for Glaucoma Research, and Hillman Foundation to support his research program. His laboratory actively develops novel methodologies for neural recording and stimulation while investigating fundamental mechanisms of visual processing and cognition. The lab maintains strong collaborative ties within Carnegie Mellon's neuroscience ecosystem through the Center for the Neural Basis of Cognition.

David KippingView profile

Associate Professor

• Exoplanet Science
• Astrophysics
• Extrasolar Planets
• +5 more

David Kipping is an Associate Professor of Astronomy at Columbia University. His research focuses on exoplanetary systems, particularly the detection of exomoons, stellar dynamics, and astrostatistics. He holds a B.A. and M.Sc. in Natural Sciences from Cambridge University and a Ph.D. from University College London. Before joining Columbia, he was a postdoctoral fellow at Harvard University through the Sagan and Menzel fellowships. His research interests include extrasolar planets, moons, and rings, as well as stellar rotation and granulation. He has pioneered methods for analyzing transit timing variations (TTVs) and detecting exomoons using Kepler and TESS data. Recent work has explored the rapid abiogenesis hypothesis and the orbital stability of planetary systems. Key contributions include the discovery of potential exomoon candidates and the development of tools like the 'Democratic Detrender' for photometric data analysis. His articles emphasize rigorous statistical methods and critique common analytical pitfalls in exoplanet studies. David advises three graduate students: Emily Sanford, Alex Teachey, and Moiya McTier. Though no specific grants or awards are listed, his work is supported through academic and space agency collaborations. His research also touches on SETI and astrobiology, addressing questions about the likelihood of extraterrestrial civilizations.

• Biomedical Imaging
• Medical Imaging Technology
• Cardiac Disease Detection
• +3 more

Jesse Hamilton, Ph.D., is an Assistant Professor in the Department of Radiology and Biomedical Engineering at the University of Michigan. Their research focuses on advancing quantitative Magnetic Resonance Imaging (MRI) methods to improve early detection and monitoring of cardiac diseases. Key projects include development of cardiac MR Fingerprinting for rapid, multi-parametric tissue characterization, low-field MRI applications, and deep learning-enhanced reconstruction algorithms. Research interests emphasize data acquisition innovation, algorithm design, and clinical translation of MRI technologies. The lab validates methods through simulations, phantom studies, and human trials, targeting applications like cardiac amyloidosis diagnosis and cardiomyopathy phenotyping. Recent work highlights MRF's utility in simultaneous T1/T2 mapping, sex-specific cardiac analysis, and low-field imaging. Articles explore artifact correction, multi-contrast imaging, and system optimization. No specific scientific awards are listed, but contributions to MRF methodology are prominent in the field. Advising and grants are not detailed here, but the lab's focus on translational imaging research suggests active grant-funded projects. Collaborations likely span radiology, biomedical engineering, and clinical cardiology departments at the University of Michigan Medical School. Key infrastructure includes advanced MRI systems, computational resources for deep learning, and experimental setups for validating imaging techniques in both phantom and clinical settings.

Stephanie CroftsView profile

Assistant Professor

• Biomechanics
• Functional Morphology
• Comparative Anatomy
• +3 more

Stephanie Crofts is an Assistant Professor of Biology at the College of the Holy Cross. Her research focuses on biomechanics and functional morphology, applying principles from physics and engineering to study how organisms adapt their morphology to ecological roles. She earned her Ph.D. from the University of Washington, Seattle, and teaches courses such as Introduction to Mechanisms of Multicellular Life and Comparative Vertebrate Anatomy . Her work investigates functional trade-offs and evolutionary constraints in specialized morphologies, particularly in dentition and defensive structures like spines and fangs. She employs CT scanning, physical specimens, and computational models to explore how morphological changes enable diversification and ecological adaptation. Key research themes include puncture mechanics in snake fangs, sea urchin spine functionality, and the biomechanics of predator-prey interactions in marine species. Crofts’ recent articles span studies on frugivorous fish dentition, sea urchin anatomy under environmental stress, and the biomechanics of defensive spines across taxa. Her interdisciplinary approach bridges comparative anatomy, evolutionary biology, and material science. No scientific awards are explicitly listed, though her active research program includes grants and collaborations in biomechanical modeling and ecological adaptation studies.

Anthimos GeorgiadisView profile

Professor

• Production Technology
• Manufacturing Systems
• Materials Engineering
• +1 more

Prof. Dr. Anthimos Georgiadis is a faculty member at Leuphana University Lüneburg's Institute for Production Technology and Systems. His research focuses on advanced manufacturing technologies, production systems, and industrial applications. Georgiadis leads projects in areas including material processing, manufacturing optimization, and industrial diagnostics. Recent publications demonstrate strong emphasis on applied engineering solutions, particularly in bearing dynamics diagnostics using machine learning, surface quality optimization, and medical positioning systems. His work consistently integrates theoretical modeling with experimental validation across mechanical, materials, and medical engineering domains. Technical contributions span predictive maintenance algorithms, manufacturing process improvements, metrology innovations, and healthcare technology development, reflecting interdisciplinary approaches to industrial challenges.

Will HoppittView profile

Lecturer

• Animal Behaviour
• Behavioural Ecology
• Statistical Modelling
• +4 more

Will Hoppitt is a Lecturer in Zoology at the University of Cumbria since 2024, with over 25 years of experience as a zoologist specializing in animal behavior and behavioral ecology. He holds a qualification in statistical modeling, emphasizing its integration into zoological education. Previously lecturing at Anglia Ruskin University and Leeds University, he was drawn to Cumbria’s natural surroundings for field-based teaching opportunities. His research focuses on animal social learning, examining cultural transmission mechanisms across species like humpback whales, chimpanzees, and honeybees. Notable projects include analyzing the spread of novel behaviors and the role of social networks in collective foraging. He teaches modules such as Animal Behaviour, Behavioral Ecology, and Statistical Modelling Techniques, integrating practical fieldwork and computer simulations into teaching methods. His work emphasizes close student interaction through seminars and group discussions, distinguishing Cumbria’s undergraduate programs. The university’s location near the Lake District and Pennines allows frequent fieldwork, such as deer park studies at Levens Hall. Hoppitt’s career includes freelance statistical consulting and safari guiding in Botswana’s Makadikadi region.

Oliver CurnickView profile

Associate Professor

• Hydrogen Energy
• Electrochemical Power Sources
• Fuel Cells
• +3 more

Oliver Curnick is an Associate Professor in Electrochemical Power Sources at Coventry University, leading the Hydrogen Energy research theme. His work focuses on advancing hydrogen technologies (production, storage, distribution) and lithium-ion battery diagnostics to support the sustainable energy transition. He is based at the Centre for Advanced Low Carbon Propulsion Systems and the Hydrogen Energy Applications Laboratory, which house facilities for collaborative industrial R&D projects. Research interests include overcoming technical/economic challenges in hydrogen energy systems, novel device/process development, and electrochemical diagnostic techniques for battery degradation assessment. Key areas include PEM fuel cells, lithium-ion battery lifecycle analysis, and integration of green hydrogen into multi-energy systems. Recent publications emphasize real-time battery diagnostics (e.g., non-linear frequency response analysis), hydrogen storage solutions, and system-level optimizations for fuel cell performance. His work aligns with UN Sustainable Development Goals related to affordable clean energy and climate action. Notable outputs include patents on ion exchange membrane fuel cells and peer-reviewed contributions to Journal of Energy Storage and Electrochemistry Communications . Collaborations span academic and industrial partners focused on advancing low-carbon propulsion and energy storage technologies. Ongoing projects include second-life battery applications and thermal management strategies for hydrogen-powered vehicles.

Michael KaschakView profile

Professor

• Language Processing
• Psycholinguistics
• Cognitive Psychology
• +1 more

Michael Kaschak is Professor of Psychology at Florida State University, studying language production and comprehension processes. His research examines how social, cognitive, and perceptual factors influence language choices, and how action planning systems interact with linguistic comprehension. Dr. Kaschak leads the Language and Cognitive Processes Laboratory, investigating embodied cognition through experimental paradigms. His research focuses on structural priming effects, action-sentence compatibility, dialogue alignment, and embodied language processing. Recent publications explore hysteresis in spatial language, reproducibility in embodiment research, and structural persistence in conversations. Work consistently integrates psycholinguistic experimentation with theoretical modeling. Dr. Kaschak has contributed methodological advances for studying language embodiment and maintains collaborations through multi-lab replication initiatives. His research received funding from National Science Foundation and National Institutes of Health.

• Artificial Intelligence
• Human-Computer Interaction
• Narrative Systems
• +5 more

Professor Fred Charles serves as Head of Department for Creative Technology at Bournemouth University, specializing in computational intelligence applied to simulated worlds. His expertise spans artificial intelligence, human-computer interaction, and interactive narrative systems, with significant contributions to virtual reality and brain-computer interface technologies. His research has led to award-winning interactive systems and numerous publications in top-tier conferences and journals. Education: PhD in Computer Science ("Intelligent Virtual Actors in Interactive Storytelling") Master's degree in Computer Aided Graphical Technology Applications BSc in Computer Science Professor Charles' research focuses on the intersection of AI, narrative systems, and immersive technologies. His work explores how computational intelligence can enhance virtual environments, particularly through brain-computer interfaces that enable more natural human-virtual agent interactions. Recent projects investigate social anxiety in VR settings, multimodal interaction frameworks, and personalized dialogue systems for virtual characters. His research bridges theoretical AI concepts with practical applications in healthcare, education, and entertainment domains. His most recent publications demonstrate a clear trend toward applying interactive narrative techniques to real-world problems, particularly in mental health assessment (OCD, social anxiety), responsible gambling initiatives, and educational applications. The work increasingly incorporates multimodal input analysis and neurofeedback mechanisms to create more responsive and adaptive virtual experiences. Scientific Awards: Blue Sky Award (ACM Hypertext, 2018) Best Application (International Conference on Automated Planning and Scheduling, 2013) Professor Charles has successfully supervised numerous PhD students working on topics ranging from crowd simulation to narrative generation systems. His research has been supported by substantial grants from Innovate UK, Economic and Social Research Council, AHRC/EPSRC, and the European Commission, including projects on believable agent behavior in VR, responsible online gambling, and machine understanding for interactive storytelling. He maintains active collaborations with researchers across Europe and has contributed significantly to the development of narrative medicine applications.

• Planetary Science
• Astrophysics
• Geophysics
• +3 more

Wieland Dietrich is a Researcher and Research Coordinator at the Max Planck Institute for Solar System Research (MPS) , affiliated with the Planetary Science Department. His expertise lies in planetary dynamics, particularly the magnetic fields and atmospheric flows of exoplanets like Hot Jupiters, as well as convection processes in planetary cores and gas giants. Education & Employment : PhD in Physics (2009-2012): IMPRS program at MPS, Katlenburg-Lindau Postdoctoral Research Fellow (2013-2019): University of Leeds (School of Applied Mathematics) and MPS Current roles since 2022: Research Coordinator at MPS Research Focus : Investigates dynamo processes, zonal winds, and satellite measurement correlations with planetary interiors. Recent work emphasizes Hot Jupiter atmospheres and gravity dynamics of gas giants like Jupiter. Publications : Focused on exoplanet magnetism, zonal wind mechanisms, and computational models of planetary convection. Key contributions include studies on KELT-9b's magnetic fields and Jupiter's gravity moments. Awards : None explicitly mentioned in the provided texts. Labs & Teams : Active within the Planetary Science Department at MPS, contributing to interdisciplinary research on solar system and exoplanetary dynamics.

Chelsea CookView profile

Assistant Professor

• Social Behavior
• Neurobiology
• Behavioral Genetics
• +3 more

Dr. Chelsea Cook is an Assistant Professor in the Department of Biological Sciences at Marquette University. Her research focuses on understanding social behavior through a holistic lens, integrating neurobiology, behavioral genetics, and ecological context. She uses honey bees as a model system to study collective behaviors like thermoregulation and foraging, as well as the effects of social isolation. Dr. Cook holds a B.S. from SUNY Cortland (2009), a Ph.D. from the University of Colorado Boulder (2016), and completed postdoctoral training at Arizona State University (2016–2020). Key research areas include honey bee thermoregulation—specifically how group dynamics influence fanning behavior—and the physiological impacts of social isolation in bees. She employs advanced techniques like electrophysiology and microbiome analysis to explore these topics. Dr. Cook’s work is supported by grants from the National Science Foundation, USDA, and NIH. Current Funding: NSF Integrative Organismal Systems Grant (2023–2026) Previous Funding: USDA SBIR Grants (2017–2020), NIH Postdoctoral Fellowship (2018–2019) Her lab, the Cook Research Team, emphasizes inclusivity and supports graduate students including Ph.D. candidates Casey Lambert, Rachael Halby, and Justine Nguyen. The lab also develops innovative tools like mobile indoor apiary systems to extend honey bee research seasons. Professional affiliations include the Animal Behavior Society and Entomological Society of America. Her recent publications span topics from microbiome roles in social behavior to neurotransmitter modulation of attention in honey bees.

Ka Ming TamView profile

Researcher

• Condensed Matter Physics
• Quantum Many-Body Systems
• Computational Physics
• +7 more

Ka Ming Tam is a Researcher at Louisiana State University's Department of Physics & Astronomy, College of Science. His work spans condensed matter physics , quantum many-body systems , and machine learning applications in physics . He has contributed to advanced computational methods, including nonequilibrium dynamical mean-field theory , functional renormalization group , and parallel tempering algorithms for studying disordered systems. His research includes Quantum materials with disorder and correlation Hybrid quantum-classical algorithms for phase transitions Epidemiological modeling of social physics Tensor formulations for Anderson-Hubbard models Machine learning in critical phenomena The 15 most recent publications highlight his focus on strongly correlated systems , Anderson localization , quantum computing , machine learning in statistical mechanics , and epidemiological dynamics . Key methodologies include DMFT , RG analysis , and GPU-accelerated simulations . No awards or student advisement details are explicitly mentioned in the provided text.

Dmitry BerensonView profile

Associate Professor

• Robotics
• Motion Planning
• Machine Learning
• +3 more

Dmitry Berenson is an Associate Professor in the Robotics Department and Electrical Engineering and Computer Science Department at the University of Michigan. He holds a B.S. from Cornell University (2005) and a Ph.D. from Carnegie Mellon University (2011). His research focuses on algorithms for robotic manipulation, motion planning, and control, emphasizing integration with real-world systems and open-source distribution. He has received the IEEE RAS Early Career Award and NSF CAREER Award. His academic journey includes postdoctoral work at UC Berkeley (2012) and faculty positions at Worcester Polytechnic Institute (2012-2016). He leads the ARM Lab, exploring topics such as deformable object manipulation, tactile control, and learning-based planning. Teaching responsibilities include courses like ROB 502 (Programming for Robotics), EECS 465 (Algorithmic Robotics), and ROB 520 (Motion Planning). Education: B.S., Electrical and Computer Engineering, Cornell University (2005) Ph.D., Robotics Institute, Carnegie Mellon University (2011) Postdoctoral Research, UC Berkeley (2012) Research Interests: Learning and motion planning for manipulation Control theory and optimization Deformable object interaction Robot perception and tactile systems Key Contributions: Development of algorithms for manipulation under uncertainty Advances in motion planning with contact feedback Integration of learning with classical robotics methods Recent publications emphasize probabilistic modeling, tactile-driven control, and generalization in learned dynamics. His work addresses challenges in cluttered environments, deformable objects, and safe human-robot collaboration.