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Max BonomiView profile

Researcher

• Integrative and computational structural biology
• Biophysics
• Molecular dynamics
• +13 more

Max Bonomi is a Researcher and Head of the Brain-immune communication group at the Institut Pasteur, Paris, within the Department of Computational Biology. He leads a research team focused on integrative computational approaches to model the structure and dynamics of complex biological systems, particularly using cryo-EM data and molecular simulations. Institution: Institut Pasteur Department: Department of Computational Biology Role: Group Leader and Principal Investigator His research lies at the intersection of biophysics, machine learning, and structural biology, with a strong emphasis on developing and applying methods for integrative modeling of proteins and RNA. He is a key contributor to the PLUMED open-source software and leads projects such as HARIBOSS and SHAMAN, which aim to advance RNA-targeted drug discovery. The recent publications of Dr. Bonomi span topics including RNA-small molecule interactions, conformational dynamics of proteins, cryo-EM integration, and AI in structural biology. His work shows a clear trend toward computational tools that enhance reproducibility, integrate diverse data sources, and enable rational drug design, particularly for challenging targets like RNA and dynamic membrane proteins. He has received no explicitly listed scientific awards in the provided text, but his publications in high-impact journals and leadership in open-source scientific software indicate significant recognition in the field. Dr. Bonomi advises PhD students and postdoctoral researchers, including Carla Cabal Fernandez and Matteo Marengo. His group is supported by ongoing projects in integrative modeling and software development. He actively promotes scientific reproducibility through the PLUMED Consortium and develops public resources like PLUMED-NEST for data sharing. His research group manages several tools and databases: PLUMED : Open-source library for free-energy calculations in molecular systems. HARIBOSS : Curated database of RNA-small molecule structures. PLUMED-NEST : Public repository for reproducing PLUMED simulation results. SHAMAN : Computational technique for identifying small-molecule binding sites in RNA ensembles.

• Composite Materials
• Carbon Fiber Composites
• Finite Element Analysis
• +3 more

Ling Chen is a Part-Time Lecturer at the College of Science and Engineering, Flinders University, and a Ph.D. candidate at the same institution. Affiliation: Flinders Institute for Nanoscale Science and Technology Her research focuses on composite materials , particularly carbon-fiber composites and helical springs, with applications in structural engineering and cryogenic environments. Key methodologies include finite element analysis and virtual fiber modeling . Recent work explores stiffness degradation in multi-braided composite helical springs under impact and static loading, tensile properties influenced by prepreg ply thickness, and performance optimization under compression angles. Their publications highlight collaborations with researchers such as Y. Tang , J. Chong , and W. Xing , with outputs spanning from 2019 to 2025.

• Genomic Prediction
• Plant Genomics
• Crop Breeding
• +7 more

Elhan Sultan Ersoz is a Clinical Assistant Professor in the Department of Crop Sciences at the University of Illinois, with joint appointments at the National Center for Supercomputing Applications (NCSA), the Center for Digital Agriculture, and as an Affiliate at the Siebel Center for Design. Her interdisciplinary work bridges plant genomics and data science to advance crop breeding methodologies. Her research interests focus on genomic prediction, crop breeding, and the integration of data science in agriculture. Key areas include hybrid maize genetics, functional enrichment analysis, population structure in genomic studies, and next-generation sequencing applications in bioenergy crops like switchgrass. She leverages computational tools to improve the accuracy of trait prediction in stratified and multi-environment agricultural populations. The recent publications highlight a strong trend toward the convergence of genomics and data science in agriculture, emphasizing statistical modeling, genomic prediction accuracy, and high-throughput sequencing techniques. Her work spans from fundamental genetic discovery to applied breeding solutions, particularly in maize and perennial grasses. While no scientific awards are explicitly mentioned in the provided text, her research has garnered significant scholarly attention, as indicated by citations and reader engagement across platforms like Mendeley and X. Dr. Ersoz collaborates extensively with research teams at NCSA and the Center for Digital Agriculture, contributing to interdisciplinary initiatives that apply supercomputing and data analytics to agricultural challenges. Although no direct mention of student advising or grant funding is present, her collaborative publications suggest active involvement in large-scale research projects.

Philip GibbonsView profile

Professor

• Biodiversity Conservation
• Wildfire Management
• Environmental Policy
• +3 more

Professor Philip Gibbons is a faculty member at the Fenner School of Environment & Society within the ANU College of Science. He holds the role of Associate Director of Higher-degree Research. His research focuses on native forest management, bushfire resilience, biodiversity conservation, and evidence-based land-use policy. Gibbons collaborates with governments and NGOs to inform environmental regulations and restoration strategies. Education: Bachelor of Applied Science Master of Forestry PhD Research Interests: Environmental impact assessment and offset policy Wildfire mitigation strategies Cost-effective ecological restoration Urban tree conservation Teaching: Biodiversity Conservation (ENVS3039/6024) Vegetation and Soils (ENVS2023/6023) Australia's Environment (ENVS1004) Grants & Projects: Implementing biodiversity metrics (2025-2025) Ginninderry Urban Open Space Research Project (2023-2026) Biodiversity Indicator metrics development (2022-2025) Labs/Teams: Member of the Institute for Climate, Energy & Disaster Solutions (ICEDS) Collaborates with the Natural Resources Commission - NSW Government

Lorenz Alexander GilchView profile

Researcher

• Random Walks
• Markov Chains
• Group Theory
• +5 more

Lorenz Alexander Gilch is a Researcher at the Chair of Stochastics and its Applications , University of Passau, and a Lecturer at Graz University of Technology (since 2018). He holds a Habilitation in Mathematics (2016) from TU Graz and has held positions including DFG Stipendium, University Assistant, and Substitute Professor roles at institutions like University of Geneva, University of Bayreuth, and Technische Hochschule Deggendorf. Educational Background: Diplom-Mathematiker (2004) from University of Passau, with a focus on Algebra, Stochastics, and Applied Statistics. Research Interests: Random Walks on Graphs and Groups, Asymptotic Entropy, Free Products, Branching Random Walks, and Statistical Data Analysis. Notable Awards: Faculty Prize, University of Passau (2004); DFG Research Stipendium (2008-2010, 2010-2011). His publications span journals like Electronic Journal of Probability , Mathematische Zeitschrift , and Random Structures & Algorithms , with articles focusing on asymptotic properties of random walks, branching processes, and group theory applications. He has presented at international workshops and conferences in Austria, Germany, Switzerland, Australia, and the US.

Thomas S RichardsonView profile

Professor

• Graphical Models
• Causal Inference
• Bayesian Inference
• +3 more

Thomas S Richardson is a Professor at the University of Washington, holding adjunct appointments in Economics and Electrical Engineering. He is also affiliated with the eScience Steering Committee and Center for Advanced Studies in the Behavioral Sciences at Stanford University (Fellow, 2004). His research focuses on graphical models, algorithmic model selection, Bayesian inference, causal models, and their applications in economics and biostatistics. BA, University of Oxford MS and PhD, Carnegie Mellon University Key research areas include: Causal Inference: Instrumental variable models, counterfactuals, SWIGs (Single World Intervention Graphs), and identification of direct effects. Graphical Models: Acyclic directed mixed graphs, nested Markov properties, marginal log-linear parametrizations, and latent variable modeling. Applications: Epidemiology, econometrics, bone biology, and ecological inference. His recent publications emphasize causal effect bounds, finite population testing, and structural nested mean models. Articles span topics like SWIGs, IV model analysis, and high-dimensional causal discovery. Scientific Awards: Fulbright Fellowship (2014) Institute for Advanced Studies, University of Bologna (2007) Center for Advanced Studies in Behavioral Sciences, Stanford (2004) Rosenbaum Fellow, Isaac Newton Institute (1997) Rousseeuw Prize for Statistics (2022)

Jim McLeanView profile

Part-Time Lecturer

• Biology
• Ecology
• Evolutionary Biology
• +3 more

Jim McLean is a part-time lecturer at the School of Natural Sciences, Macquarie University, with a focus on biological sciences. His research spans ecology, evolutionary biology, and animal behavior, particularly in arthropods like ants and spiders. Research Interests: Evolutionary arms races between predators and prey Mechanisms of mimicry and survival strategies in spiders Cooperative transport and decision-making in ants Statistical tools for biological studies Recent Publications highlight work on: Colony relocation in desert ants Sexual dimorphism in spider jumps Development of the Durga R package for effect size estimation Leaderless consensus in weaver ant transport Collaborations include researchers in Australia and international partners, with projects involving behavioral ecology and computational methods.

• Animal Ecology
• Behavioural Ecology
• Evolutionary Biology
• +5 more

Priv.-Doz. Dr.rer.nat Sabine Hille is a Senior Lecturer at the Institute of Wildlife Biology and Game Management , University of Natural Resources and Life Sciences, Vienna (BOKU). Her research focuses on alpine bird ecology , particularly snowfinches and great tits , examining population dynamics, behavioral adaptations, and climate change impacts. Education: B.Sc. in Biology and Geography (1995), University of Ulster and University of Gießen Ph.D. (2002), University of Natural Resources and Life Sciences, Vienna Habilitation (2014) in Wildlife Ecology Research Interests include behavioural ecology , evolutionary biology , and conservation of cold-adapted species . Her work investigates how global warming alters breeding phenology, nest site selection, and survival strategies in high-elevation ecosystems. Key projects involve climate change effects on alpine birds , evolutionary adaptation , and ecosystem service interactions in viticultural landscapes. Publications span evolutionary genetics, climate-phenology relationships, and conservation strategies. Recent studies analyze genomic variation in snowfinches, thermal breeding constraints , and seasonal data bias in ecological modeling. Her supervised theses explore habitat preferences, nest composition, and climate-driven reproductive success. Scientific Engagement Reviewer for Molecular Ecology , Journal of Ornithology , and Proceedings of the Royal Society B 2022: Advisor to Austrian Animal Welfare Committee 2009: Member of Biodiversity Platform Austria

Ofer HarelView profile

Professor

• Missing Data Analysis
• Causal Inference
• Verification Bias
• +6 more

Ofer Harel is a Professor in the Department of Statistics at the University of Connecticut , where he also serves as Dean of the College of Liberal Arts and Sciences . His research focuses on advanced statistical methodologies for handling incomplete data, with applications spanning epidemiology, health research, clinical trials, and social sciences. Primary Affiliation: University of Connecticut Roles: Professor of Statistics, Dean of College of Liberal Arts and Sciences Research Focus: Missing data analysis, Bayesian methods, latent class modeling, and statistical applications in public health Research Interests span critical areas including: Missing Data Mechanisms: Developing and refining multiple imputation techniques Latent Class Analysis: Applying to health outcomes and behavioral studies Bayesian Modeling: For spatial and longitudinal health data Statistical Disclosure Control: Protecting sensitive demographic information Health Applications: Covering HIV prevention, cancer survivorship, and mental health Educational Statistics: Integrating computing tools into statistical pedagogy Publication Trends demonstrate expertise in: Advanced imputation frameworks for clinical and epidemiological research Latent class and multilevel modeling for diverse health outcomes Statistical ethics and data confidentiality in public health research Spatial and longitudinal analysis of disease patterns Methodological innovations in handling missing data across multiple disciplines Advising and Collaborative Work includes methodological contributions to: Non-inferiority trial designs with missing data challenges Bayesian spatial modeling applications in global health Improving statistical reporting and reproducibility

• Data Management
• Computational Logic
• Database Theory
• +10 more

Michael Benedikt is Professor of Computer Science at the Department of Computer Science, University of Oxford, and a Fellow of University College, Oxford. His research lies at the intersection of computational logic, database theory, and theoretical computer science, with a focus on query answering, logic-based data management, and formal methods for data integration. Institution: University of Oxford, Department of Computer Science Position: Professor of Computer Science Email: michael.benedikt@cs.ox.ac.uk Office: 355 Wolfson Building, Parks Road, Oxford OX1 3QD, UK His primary research interests include data management, computational logic, model theory, query reformulation, integrity constraints, existential rules, and fixpoint logics. He investigates theoretical foundations of querying Web and social network data, ontology-based data integration, and finite model reasoning. His recent publications span top venues such as VLDB, PODS, LICS, ICALP, and IJCAI, covering topics like scalable querying of nested data, interpolation in fixpoint logics, finite open-world query answering, and rewriting recursive queries. A unifying theme across his work is the application of logical methods to ensure correctness, decidability, and efficiency in data access and transformation. Best Paper Award, ICALP 2017 (Track B) EPSRC Established Career Fellowship (2015–2020) He has supervised numerous PhD students and postdoctoral researchers, including Jaclyn Smith, Djordje Zivanovic, Antonia Kormpa, and Benjamin Spencer. His research group has been supported by grants from EPSRC and Microsoft Research. He actively contributes to the academic community through service on program committees (e.g., LICS, PODS, IJCAI, VLDB) and editorial boards (e.g., Journal of Computer and System Sciences). He co-authored a book on interpolation-based query reformulation published by Morgan Claypool.

Shensheng TangView profile

Professor

• Wireless Networking
• Computer Networking
• Cloud Computing
• +15 more

Shensheng Tang is a Professor of Physics and Engineering at Bethel University, College of Arts and Sciences. He joined the university in 2024, bringing extensive academic and industry experience in electrical and computer engineering. He holds a Ph.D. in Electrical Engineering from the University of Toledo and a B.S. from Tianjin University. Ph.D. in Electrical Engineering, University of Toledo, 2006 B.S. in Electrical Engineering, Tianjin University, 1990 Dr. Tang's research focuses on wireless and computer networking, IoT, cloud/fog/edge computing, embedded systems, FPGA, cybersecurity, AI/ML, and performance modeling. His work integrates theoretical modeling with practical applications in smart grids, healthcare IoT, and 5G/Wi-Fi convergence. He has published over 100 peer-reviewed papers, with recent publications emphasizing fog-based IoT performance, cloud system modeling, FPGA acceleration, and network security using spatiotemporal models and machine learning. His publication record reveals a strong trend in applying analytical models—particularly queueing theory, Markov processes, and signal modeling—to optimize network performance, reliability, and security in distributed and resource-constrained environments. He frequently explores cross-layer design in wireless networks and integrates AI techniques for traffic analysis and threat detection. MWSU 2012 Dr. James V. Mehl Outstanding Faculty Scholarship Award Best Paper Award, IEEE/CIC ICCC 2016 Excellent Presentation Award, IEEE ICCSN 2016 Spotlight Paper, IEEE TPDS July 2013 Marquis Who's Who in America (2010–2016 editions) Marquis Who's Who in Science and Engineering (10th–12th editions) Dr. Tang has advised numerous students and researchers throughout his career, though specific names are not listed. He has secured significant research output and editorial leadership roles, serving as Editor-in-Chief for the Journal of Science and Engineering Research (JSER) and Journal of Smart Technology Applications (JSTA), and as editor for several international journals including MDPI's IoT. He has chaired program committees and organizing committees for major conferences such as CMVIT, CCISP, ASSE, and ICCSN. His professional service includes active roles in IEEE (Senior Member), ACM SIGMETRICS, INFORMS, and Sigma Xi. He leads research in performance modeling and optimization for next-generation networks and is involved in editorial and conference leadership that shapes discourse in smart technologies, IoT, and cybersecurity.

• Child Well-being
• Social Pedagogy
• Child Protection
• +7 more

Karmen Toros is a Professor of Social Work at Tallinn University's School of Governance, Law and Society, where she has held various academic and leadership roles since 2007, including Senior Research Fellow and Associate Professor. She is a leading scholar in child well-being, social pedagogy, and child protection, with a strong focus on children’s rights and participation in social services. She earned her Doctorate in 2011 and Master’s in 2003, both from Tallinn University. Her research spans refugee integration, family well-being, digital technology in family life, and crisis response in social work. Her recent publications highlight Ukrainian refugee children and parents in Estonia, children’s participation in child protection, and the impact of war and pandemics. These works appear in top journals such as Child Abuse & Neglect , Children and Youth Services Review , and Social Work Education , reflecting a strong trend toward qualitative, rights-based, and child-centered research in social work and policy. Candidate for the 2025 State Science Award for research on vulnerable children 2024 Research Leader Award from Tallinn University Member of AcademiaNet (2021) Multiple awards for supervising student research Recognized for professional work in Georgia (2008) She has supervised numerous PhD and master’s students, including award-winning theses. She leads the Children and Family Research Group, serves on editorial boards of major journals, and contributes to international research networks and policy working groups. Her administrative roles include heading the Social Protection study field and serving on university councils and ethics committees. She leads the research project 'Strengthening the CIRIC Research Group' and contributes to national and international initiatives on refugee education and child protection. She frequently gives presentations and organizes seminars and conferences, such as the 2024 'Compass for Workplace Well-being' conference.

Lesley ThorneView profile

Associate Professor

• Marine Mammal Ecology
• Seabird Ecology
• Conservation Biology
• +4 more

Lesley Thorne is an Associate Professor and the Associate Dean of Research at Stony Brook University ’s School of Marine and Atmospheric Sciences. Her research program focuses on understanding how environmental and anthropogenic changes influence marine ecosystems, particularly through the lens of marine mammals and seabirds. She employs advanced technologies like drones, accelerometers, and 3D models to study habitat use, foraging ecology, and energetics, with a strong emphasis on conservation applications. Education: Ph.D. from Duke University (2010) Her research spans topics such as climate change effects on predator-prey dynamics, marine heatwaves, urbanization impact on coastal birds, and bycatch mitigation strategies. She collaborates extensively, utilizing biologging, spatial analysis, and ecological forecasting to address conservation challenges. Her work often informs policy and management practices. The Thorne Lab at Stony Brook University integrates boat-based measurements, global reanalyses, and computational tools to explore ecological questions in marine environments. Her recent publications highlight interdisciplinary approaches to studying marine species under environmental stressors. Advising & Grants: While specific grants are not detailed here, her collaborations with graduate students and researchers reflect her role as a mentor in marine science. She contributes to dynamic management frameworks for marine mammals and seabirds. Labs & Teams: Lesley leads the Thorne Lab, which operates within Stony Brook University’s School of Marine and Atmospheric Sciences. The lab specializes in cutting-edge methods for assessing ecological changes and their conservation implications.

Daqing ZhangView profile

Professor

• Wireless Sensing
• mmWave Radar
• WiFi Sensing
• +7 more

Daqing Zhang is a prominent professor at Peking University's School of Electronics Engineering and Computer Science, Department of Computer Science and Technology, with significant additional affiliation at Northwestern Polytechnical University. He has published over 230 academic papers, primarily in the fields of wireless sensing, mobile computing, and ubiquitous computing technologies. His research focuses on leveraging wireless signals—particularly mmWave radar and WiFi—for non-contact health monitoring applications. Professor Zhang's work has made significant contributions to vital signs monitoring, sleep analysis, and elderly care technologies. His research demonstrates a consistent trajectory from theoretical signal processing to practical healthcare applications, with increasing emphasis on real-world implementation challenges such as multi-person scenarios, motion interference, and through-wall sensing capabilities. His recent publications (2024-2025) show a strong trend toward addressing practical limitations in wireless sensing, with particular attention to resolution barriers, motion robustness, and emergency care applications. The work spans both theoretical modeling (e.g., Fresnel Zone models) and practical system implementations (e.g., WiLife for elderly monitoring). Professor Zhang serves as a guest editor for special issues on wireless sensing applications in healthcare, indicating his leadership position in this research community. His collaborative work involves researchers from numerous international institutions including Telecom SudParis, University of Massachusetts Amherst, and Chinese Academy of Sciences.

Richard ZinkView profile

Research Fellow

• Ecology
• Conservation Biology
• Ornithology
• +4 more

Richard Zink is a Research Fellow and Manager of the Centre for Education and Public Relations at the Austrian Ornithological Centre (AOC) within the Konrad-Lorenz Institute of Ethology at the University of Veterinary Medicine Vienna. He has been in this position since May 2018, following his role as Senior Postdoctoral Researcher and team leader for Wildlife Management and Conservation. He earned his PhD in Zoology from the University of Vienna (2000-2005) with a dissertation on modeling food availability for Bearded vultures in the Austrian Alps, and completed his Diploma in Biology with a major in Ecology at the same institution (1997-1999). Zink's research spans multiple areas of ecology and conservation biology, with a particular focus on ornithology. His work emphasizes restoration ecology, species monitoring, and conservation projects, particularly involving birds of prey. He has developed significant expertise in Citizen Science approaches, recognizing their value for both data collection and public engagement in conservation efforts. His research integrates field studies with community participation, creating bridges between scientific research and public understanding of wildlife conservation. His publication record demonstrates consistent contributions to conservation science, with recent work focusing on urban wildlife, raptor conservation (particularly Saker Falcons and Ural Owls), and the application of new technologies in ecological research. His research shows a clear trajectory toward more integrated approaches that combine traditional ecological methods with community-based monitoring and cross-sectoral wildlife management. Manager Centre for Education and Public Relations in Seebarn – Austrian Ornithological Centre (2018-present) Senior Postdoctoral Researcher and team leader for Wildlife Management and Conservation (2012-2018) Postdoctoral Researcher at the Research Institute of Wildlife Ecology (2004-2012) Zink leads several important conservation initiatives including the re-introduction of Ural owls to Austria, Saker falcon monitoring in Eastern Austria, little owl research, and the Citizen Science projects 'Wild neighbours' and 'StadtWildTiere' focused on urban wildlife. His work bridges scientific research with public education and community engagement, creating sustainable conservation programs with lasting impact.