Dr. Ben Mills is a Principal Research Fellow at the University of Southampton. His research focuses on the integration of deep learning with laser technologies, including applications in environmental monitoring, materials science, and biomedical imaging. He is a core member of the Smart Lasers and Special Fibres research group and leads projects such as Hearing Light and Lasers that Learn , funded by the EPSRC. His work spans laser beam shaping, material transfer, and diagnostic techniques using AI-driven photonics. Research Interests: Laser-material interactions Deep learning for optical systems Environmental sensing via lasers Biophotonics applications Additive/subtractive manufacturing Publications (2023–2025) highlight innovations in laser cleaning, beam optimization, and pollen imaging using low-cost hardware. His work bridges fundamental optics with applied machine learning solutions. External Contributions: Speaker at international conferences on AI in photonics (2019–2021) Keynote on predictive laser materials processing (2019) Presenter at invited sessions on particle sensing via deep learning (2020) Current Supervision: PhD students Luke Burke (Physics), Fedor Chernikov (ORC), and Yuchen Liu (ORC) work on laser beam control and environmental applications.
David Caron is the Captain Allan Hancock Chair in Marine Science and Professor of Biological Sciences at the University of Southern California (USC), affiliated with the USC Dornsife College of Letters, Arts and Sciences. He co-founded the Center for Integrated Networked Aquatic Platforms (CINAPS) and is part of the Wrigley Institute for Environmental Studies. His research focuses on marine and freshwater microbial ecology, particularly protist trophic relationships and harmful algal blooms. Caron holds a Ph.D. from the MIT-Woods Hole Oceanographic Institution Joint Program in Biological Oceanography (1984), an M.S. (1977) and B.S. (1975) in Oceanography and Microbiology from the University of Rhode Island. Research Interests: His work spans protistan ecology, mixotrophic microalgae physiology, Antarctic protist adaptations, and molecular approaches to microbial ecology. He investigates harmful algal bloom dynamics, protist grazing impacts, and the role of environmental drivers in planktonic communities. His studies often integrate field observations, experimental work, and advanced technologies like robotic sampling platforms. Key Achievements: Caron has authored over 100 peer-reviewed publications and pioneered methods in protistan diversity assessment. He received the AAAS Fellowship (2011), American Academy of Microbiology Fellowship (2007), and the USC Raubenheimer Outstanding Senior Faculty Award (2010–2011). He served as President of the International Society of Protistologists (2004–2005). Grants & Labs: He leads CINAPS, which uses autonomous systems to monitor coastal ecosystems. His lab studies microbial communities in the Southern California Bight, focusing on harmful algal toxins (e.g., domoic acid) and their ecological impacts. Collaborations with engineers and roboticists enhance data collection and environmental modeling efforts.
Dr. Thangavel Thevar is a Senior Lecturer in the School of Engineering at the University of Aberdeen, where he has been teaching since 2005. He completed both his undergraduate degree (First Class Honours in Electrical Engineering) and PhD (in Laser Engineering) at the University of Aberdeen in 1989 and 1993 respectively. Prior to his academic career, he accumulated approximately 10 years of industrial R&D experience in the USA, working on solid-state laser development and holographic applications. Dr. Thevar's research focuses on several key areas: Digital holography for imaging of marine plankton and micro-particles Laser Induced Breakdown Spectroscopy (LIBS) for subsea applications Laser-based instrumentation development Development of solid-state lasers for scientific, industrial, and medical applications Engineering applications of holography His most notable recent achievement is leading a team that developed the weeHoloCam, a state-of-the-art ultracompact underwater holographic camera for imaging microorganisms. Weighing just 3.5 kg, this system is the lightest and most compact of its kind, capable of imaging 240 ml/s and continuously recording up to 200,000 holograms. The system incorporates a rapid hologram processor and an AI-based image classifier. This technology has significant applications in marine studies including spatial and temporal monitoring of plankton species, monitoring harmful plankton & micro-jellyfish, study of vertical transport of floc, and monitoring microplastic pollution in the ocean. Dr. Thevar has secured numerous research grants as Principal Investigator, including projects funded by Sustainable Aquaculture Innovation Centre (SAIC), BBSRC, DEFRA, and Defence & Security Accelerator (DSTL). His current research portfolio demonstrates strong interdisciplinary connections between optical engineering, marine science, and environmental monitoring. His scientific contributions include: Royal Academy of Engineering Visiting Teaching Fellow Award (2010-2013) US patent 8,494,012 B2 for Raman converters Development of alexandrite lasers and ruby holographic lasers during his industrial R&D period Work on US government contracts for non-destructive inspection methods for military aircraft and the space shuttle Sabbatical work at NASA Langley Research Centre developing diode pumped Thulium YALO lasers As an educator, Dr. Thevar has served as Coordinator of MSc Oil & Gas Engineering (2007-2020), Undergraduate Level 1 Coordinator, and has contributed to various committees including Quality Assurance and Students' Progression. He currently teaches courses including Principles of Electronics, Electrical & Mechanical Systems, Control Systems, and supervises individual projects at both undergraduate and postgraduate levels. He is accepting PhD students interested in Engineering research. Dr. Thevar is actively involved in professional organizations, serving as Technical Programme Chair for IEEE/OES Oceans Conference 2007, on organizing committees for various conferences, as a committee member of the Instrument Science and Technology Group (Institute of Physics), and as a member of both IET and IEEE. He also serves as a reviewer for optics-based journals.
Professor Michalis Zervas serves as Professor of Optical Communications at the University of Southampton's Optoelectronics Research Centre (ORC), leading pioneering research in photonics and laser technologies. His work integrates advanced optical systems with artificial intelligence to solve complex challenges in telecommunications, manufacturing, and medical diagnostics through major collaborations with industry and international research bodies. His primary research spans Optical Communications, Photonics, and Fibre Lasers, with specialized focus on deep learning applications for laser control optimization, coherent beam combination, and optical fibre sensor development. Current investigations include high-power photonics systems for industrial manufacturing and novel laser-based biomedical diagnostic platforms that bridge physics with healthcare innovation. Recent publications (2025) reveal a decisive trend toward AI-photonic integration, where deep learning algorithms enhance precision in laser-material interactions across diverse applications—from microbead cleaning and paint analysis to psoriasis treatment simulation and diatom imaging. This interdisciplinary approach demonstrates consistent methodological innovation in merging computational intelligence with fundamental laser physics. Supervises 6 PhD students including Rosemary Catriona Clark and Fedor Chernikov in ORC's photonics programs Secures major funding from EPSRC (Smart Fibre-Optic High Power Photonics, Hearing Light) and US Air Force Office of Scientific Research Leads collaborative projects with Professor Sir David Payne and Professor Johan Nilsson across national manufacturing hubs As co-leader of the Smart Lasers and Special Fibres research group within the Advanced Laser Laboratory, Zervas drives experimental photonics innovation through state-of-the-art fibre laser systems and optical resonator technologies. His team maintains strategic partnerships with global industry leaders in photonics manufacturing and medical device development.
Prof. Dr.-Ing. Tim Wilhelm Nattkemper leads the Biodata Mining Group at the Faculty of Engineering , Universität Bielefeld , while holding affiliations with the Center for Biotechnology (CeBiTec) and the Institute for Bioinformatics Infrastructure . His work bridges bioinformatics with marine environmental monitoring , focusing on machine learning and computer vision applications. The group specializes in multivariate bioimage analysis , developing platforms like BioIMAX for web-based high-dimensional data exploration. Research spans from MALDI imaging to deep-sea megafauna classification , integrating information visualization and web technologies . Recent projects address seafloor macrolitter monitoring , coral stress response analysis , and self-supervised learning for diatom classification. Their 15 most recent publications (2023-2025) highlight advancements in marine imaging , automated annotation systems , and AI-driven biodiversity assessment , particularly in polymetallic nodule fields. The group also tackles technical challenges like data imbalance in marine image classification and FAIR data principles implementation. As module responsible for courses like Information Visualization and Introduction to Bioinformatics , Nattkemper contributes to academic training in bioinformatics and data science . His interdisciplinary collaborations span physics , chemistry , and ecology within Bielefeld's Material World strategic research area.
Professor Matsuda Yu at Waseda University 's Faculty of Science and Engineering (School of Creative Science and Engineering) is a leading researcher in fluid engineering and aerospace systems. With a Doctor of Engineering from Nagoya University, he has developed innovative measurement techniques for micro/nano-scale phenomena. Current position: Professor, Waseda University (2022-present) Previous roles: Japan Science and Technology Agency (2018-2022), Nagoya University (2008-2018) Research Focus spans thermal engineering , microfluidics , and quantum-inspired data analysis . His recent work involves pressure-sensitive paint optimization, single-particle tracking , and quantum annealing applications for fluid dynamics. Scientific Recognition includes multiple JSME awards, MEXT Commendation for Young Scientists, and the 2025 Ichiro Tanaka Award . His 45+ scientific awards highlight contributions to measurement science and fluid dynamics. Technical Innovations include ambient-light-resistant PSP methods, quantum-optimized sensor placement, and bioluminescent temperature-pressure sensors. His 95+ publications with 1497 Google Scholar citations demonstrate significant impact in microscale flow analysis and nanoparticle dynamics .
Zhijin Wu is a Professor of Biostatistics and Director of the Doctoral Program in Biostatistics at Brown University's School of Public Health. His research focuses on developing statistical methods for high-throughput genomic technologies, including RNA sequencing, DNA microarrays, and single-cell sequencing. Key areas include normalization techniques, differential expression analysis, and integrative genomic approaches for epigenetic studies and cancer research. Research interests span bioinformatics, epigenomics, and computational biology. Dr. Wu's work addresses challenges in data interpretation from technologies like NanoString nCounter and scRNA-seq, with applications in toxicology, cancer biomarker identification, and aging studies. His methodologies are applied to diverse biological systems, including diatom transcriptomics and murine models of colorectal cancer. Publications emphasize statistical innovations for genomic data, such as latent variable models and normalization frameworks. Collaborative projects include epigenetic variations in cancer, immune cell activation dynamics, and drug synergy studies with GSK-3 inhibitors. The Center for Biostatistics and Health Data Science, co-located with his department, supports these interdisciplinary efforts.
Martin Zurowietz is a researcher at the Genome Informatics Group , Institute for Bioinformatics Infrastructure (BIBI) , and Center for Biotechnology (CeBiTec) at Bielefeld University . His work focuses on bioinformatics infrastructure, marine data analysis, and deep learning applications for environmental monitoring. Research Interests : Bioinformatics, computational biology, machine learning, marine ecology, and data science. Technical Contributions : Development of platforms like BIIGLE and MAIA for large-scale image annotation, FAIR data principles in marine imaging, and automated diatom taxonomy. Key Collaborations : Projects involving polymetallic nodule fields, Vazella pourtalesii assemblages, and environmental impact assessments using deep learning. Recent Publications highlight his expertise in: Deep learning for biodiversity analysis Marine imaging systems and workshops Digital microscopy methods Data management for marine ecosystems Interactive visualization tools for scientific data
Jesus Salido is a Professor at the University of Castilla-La Mancha's School of Computer Science, affiliated with the Department of Systems Engineering and Automation (ISA). He holds a PhD in Industrial Engineering (Robotics and AI) from Universidad Politécnica de Madrid (UPM) and completed a PostDoc at Carnegie Mellon University's Robotics Institute in Pittsburgh, USA. Education: PhD in Industrial Engineering (Robotics and AI), Universidad Politécnica de Madrid (UPM) PostDoc at AML – The Robotics Institute, Carnegie Mellon University Research Interests: Focuses on Robotics, Artificial Intelligence, Medical Imaging, Computer Vision, and Educational Technology . His work includes developing low-cost microscopy systems (e.g., MicroHikari3D), AI-driven pathology tools, and educational resources in digital logic design using Logisim. He leads the VISILAB-UCLM research group, emphasizing Open Science and accessibility in technology. Key Projects: Eyes of Things (EOT): Smart sensor networks for environmental monitoring AIDPATH: Collaboration between academia and industry in digital pathology Bonseyes: Marketplace for edge device collaboration Publications & Contributions: Authored textbooks like Learning Image Processing with OpenCV and Lógica Digital y Tecnología de Computadores . Over 50 peer-reviewed articles on topics ranging from deep learning applications to automated microscopy systems. Actively contributes to open-source educational repositories on GitHub. Teaching: Teaches courses in Computer Technology, VLSI Design, and Artificial Intelligence at the undergraduate and master’s levels. Leads personalized tutoring initiatives to enhance student success and critical thinking.
Yonatan Ashenafi is a Research Fellow in the Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI). He is affiliated with Salisbury Labs 405B and can be contacted via yashenafi@wpi.edu. His research focuses on interdisciplinary studies at the intersection of biophysics, applied mathematics, and computational biology, addressing complex systems such as microbial mobility, active matter dynamics, and machine learning applications. His work investigates statistical mobility properties of microbial colonies, cooperative cellular behaviors, and stochastic modeling of biological systems. Recent studies include analyzing cargo transport via molecular motors, flagellated cell colonies, and diatom foraging strategies. He also develops Bayesian and reinforcement learning frameworks for experimental design and gene activity classification. Articles published between 2016 and 2025 showcase a progression from foundational studies in microbial systems to advanced computational methodologies. His research bridges theoretical models with empirical data, emphasizing non-equilibrium physics and data-driven approaches. No scientific awards or grants are explicitly listed in the provided texts. No advisees or lab affiliations are detailed, though his position suggests active participation in collaborative research projects.
Michael Wilkinson is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Intelligent Systems — Bernoulli Institute. He holds a PhD in Mathematics and Computing Science from the University of Groningen (1995) and has extensive experience in computational biology, image analysis, and mathematical morphology. His research focuses on digital image analysis, computer vision, and applications in biomedical imaging, remote sensing, and astronomy. Wilkinson has led projects such as TRIMBOT 2020 (robotic garden trimming), HyperGAMMA (galaxy merger analysis), and ADIAC (diatom classification). He is a Senior Member of the IEEE and involved in organizing international symposia on mathematical morphology. His work emphasizes connected filters, parallel algorithms, and morphological operators for large-scale data analysis. Key contributions include developing efficient image segmentation techniques, attribute filters, and algorithms for tera-scale datasets. His research bridges theoretical computer science with practical applications in astronomy, biology, and medical imaging, with a focus on robust, scalable methods.
Dr. Daniel Langenkämper is a researcher at the University of Bielefeld, affiliated with the Faculty of Engineering and the Center for Biotechnology (CeBiTec). He serves as a key member of the Biodata Mining Group, where he develops and applies advanced computational methods for marine biological data analysis. His office is located at UHG V10-107 with contact number +49 521 106-3678. Langenkämper's research focuses on the intersection of computer science and marine biology, with particular expertise in: Computer vision applications for marine ecosystem monitoring Deep learning approaches for diatom and coral classification Biodata mining from complex marine imagery Digital platform development for environmental monitoring systems Multi-sensor data analysis for marine infrastructure assessment His publication record shows consistent output through 2025, with recent work emphasizing expert-computer vision integration for coral status exploration and self-supervised learning techniques for diatom classification. The research demonstrates strong interdisciplinary collaboration across computer science, marine biology, and engineering disciplines, addressing critical challenges in marine environmental monitoring and infrastructure maintenance. His work contributes significantly to both theoretical advancements in image analysis and practical applications for marine conservation and industrial monitoring. Langenkämper actively participates in marine imaging workshops and contributes to the development of standardized image datasets for marine research. His work with the Biodata Mining Group at CeBiTec supports multiple research initiatives focused on transforming visual data into actionable ecological insights, particularly for deep-sea coral ecosystems and marine infrastructure maintenance.
Charles Hawkins is a Professor and Director of the National Aquatic Monitoring Center at Utah State University's College of Natural Resources, Watershed Sciences Department. With over 40 years of academic experience, he has established himself as a leading expert in aquatic ecology, freshwater invertebrate biology, and stream ecosystem assessment. Educational Background: PhD in Entomology with Aquatic Ecology emphasis (Philosophy of Science minor), Oregon State University, 1982 MA in Biology with Aquatic Biology emphasis, California State University, 1975 BA in Biology with Biochemistry emphasis (Chemistry minor), California State University, 1973 Hawkins' research focuses on the ecology, conservation, management, and restoration of aquatic ecosystems. His work encompasses sampling designs and statistical methods applicable to ecological research, predictive modeling of community composition, and assessment of ecological integrity. He has made significant contributions to understanding the effects of landscape and waterway alteration on aquatic and riparian ecosystems, with particular expertise in freshwater invertebrates, amphibians, and fish. His research integrates field studies with advanced statistical modeling to develop practical approaches for monitoring and assessing freshwater ecosystems. An analysis of his 15 most recent publications (2020-2025) reveals continued leadership in freshwater ecology, with emphasis on stream connectivity, biological assessment methods, trait-based ecology, and climate change impacts. His work spans multiple scales from local stream studies to global freshwater biodiversity initiatives, demonstrating both methodological innovation and ecological insight. Scientific Awards: Cazier Life Time Achievement Award, 2025 (Utah State University) Award of Excellence, 2021 (Society for Freshwater Science) D. Wynne Thorne Career Research Award, 2019 (Utah State University) Fellow, 2018 (Society for Freshwater Science) USEPA Scientific and Technological Achievement Award, 2009 Researcher of the Year, 2006 (Utah State University, College of Natural Resources) Multiple Graduate Student Mentor of the Year awards (2004, 1998) Hawkins has been a dedicated mentor to graduate students, teaching specialized courses including Stream Ecology, Freshwater Invertebrates, and Communicating Science. His research has been supported by numerous grants from agencies including the US Environmental Protection Agency and the USDA Forest Service. He directs the National Aquatic Monitoring Center, which serves as a hub for freshwater research and monitoring. Through the National Aquatic Monitoring Center, Hawkins leads a research team focused on developing and implementing advanced methods for assessing the biological integrity of freshwater ecosystems across the United States. His work has directly informed national monitoring programs and policy decisions related to freshwater conservation and management.
Dr. Georgy Falster is a Postdoctoral Fellow at the School of Earth Sciences, Australian National University (ANU), specializing in climate science with primary focus on Earth's water cycle dynamics. His research integrates natural archives, climate observations, and modeling to investigate hydroclimatic variability across temporal scales from the Quaternary to modern climate change. Academic Background PhD research reconstructed Australian Quaternary palaeo-environments using palaeolimnology and stable/clumped isotopic analysis of carbonates Postdoctoral Research Associate at Washington University in St. Louis studying Common Era hydroclimate through water isotope proxies Former Marine Scientist at Geoscience Australia conducting seabed morphology analysis Research Focus Dr. Falster employs the stable isotopic composition of water as an integrative tracer across multiple natural archives including lake sediments, ice cores, corals, tree rings, and speleothems . His work establishes pre-industrial climatic baselines using Common Era (~2000-year) data to quantify anthropogenic climate impacts, with specialized expertise in tropical Pacific influences on global hydroclimate. Recent methodological approaches incorporate machine learning for extreme event attribution. Research Trends Analysis of his 2023-2025 publications reveals three convergent research streams: (1) Australian drought mechanisms and human-induced intensification, (2) Pacific climate dynamics over millennial timescales, and (3) interdisciplinary applications of isotope geochemistry in archaeological contexts. This demonstrates rigorous methodological transfer between paleoclimate reconstruction and contemporary climate change attribution. Supervision and Projects Registered to supervise research students at ANU Principal Investigator for "Understanding isotopic composition of precipitation across Australia" (2022-2023) Principal Investigator for "Diatom lipids to reveal sea-ice history in Antarctic regions" (2017-2023) with Antarctic ecosystem and climate modeling components
Jenny Magnes is a Professor of Physics and Chair of the Physics and Astronomy department at Vassar College since 2007. She earned her BA from the University of Maryland-College Park, BS from Delaware State University, and MA/PhD from Temple University. Her research focuses on chaos and complexity, diffraction, quantum optics, and optomechanical techniques applied to microorganism analysis. She pioneered optical diffraction methods to study C. elegans locomotion, revealing chaotic dynamics through Lyapunov exponent measurements and nonlinear systems analysis. Her work integrates education and research, mentoring undergraduates in experimental biophysics and optics. Notable collaborations include the West Point Initiative to share scientific infrastructure, including Vassar’s quantum computer. She has published extensively on optical techniques for biological systems, including Fourier-based diffraction analysis and biomimetic modeling of locomotion patterns. Research interests span biophotonics, diatomic spectroscopy, and applying chaos theory to biological systems. Her lab develops tools like single-wavelength shadow imaging and reaction-diffusion neural models to study undulatory motion. Current projects investigate three-dimensional chaotic locomotion markers and Leidenfrost droplet dynamics.
