Find Academic Supervisors

• Integrable Systems
• Solitons
• Nonlinear Waves
• +6 more

Ken-ichi Maruno is a Professor at the Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University , since 2017. His research focuses on integrable systems, solitons, and nonlinear wave phenomena, with applications to fluid mechanics and mathematical physics. He has held academic positions at the University of Texas–Pan American (2006–2014) and Kyushu University (2003–2006). He earned his Ph.D. from Kyushu University . Education: Ph.D. in Mathematics (Kyushu University) Research Interests: Integrable systems, solitons, nonlinear waves, discrete integrable systems, water waves, fluid mechanics, mathematical physics, numerical computations His work emphasizes integrable discretizations, delay soliton equations, and self-adaptive moving mesh schemes. He has published extensively on soliton interactions in the Davey-Stewartson, Yajima-Oikawa, and Toda systems. His recent articles explore delay Lotka–Volterra equations, rogue waves in long wave–short wave systems, and geometric formulations of vortex filaments. Collaborative projects include research on multi-component short pulse equations and discrete SIR models. Maruno’s research projects, funded by the Japan Society for the Promotion of Science, focus on mathematical models for ocean waves and integrable system-based numerical methods. He has contributed to international conferences and workshops on nonlinear phenomena, integrable systems, and discrete differential geometry. Professional Roles: Committee member and editor for the Japan Society for Industrial and Applied Mathematics; member of the Japan Society of Fluid Mechanics and The Physical Society of Japan. Teaching: Offers courses on ordinary differential equations, numerical analysis, and soliton mathematics at Waseda University.

• Biophysics
• Chemical Physics
• Soft Matter Physics
• +7 more

Atsuko Takamatsu is a Professor at the School of Advanced Science and Engineering of Waseda University. Her work bridges biophysics, mathematical biology, and nonlinear dynamics through experimental and theoretical studies of biological systems. PhD in Science from Tokyo Institute of Technology Key memberships: Japanese Society for Mathematical Biology, Physical Society of Japan, Biophysical Society of Japan Research Interests focus on: Biological Pattern Formation in Physarum slime mold and cyanobacteria Coupled Oscillator Systems (cilia, cellular oscillations) Cell Competition Dynamics and its role in tissue homeostasis Hydrodynamic Interactions in left-right symmetry determination Article Trends reveal expertise in mathematical modeling of biological networks, with applications to Physarum transport systems, ciliary synchronization, and cellular decision-making. Notable work includes uncovering how minimal ciliary systems generate embryonic symmetry and modeling energy-efficient biological networks. Research Projects funded by Japan Society for the Promotion of Science include studies on: Chrono-health science and irregular lifestyle effects Spatio-temporal oscillation patterns in slime mold Cell competition mechanisms in Drosophila Adaptive network morphology in Physarum Her bio-inspired algorithms (e.g., Physarum-based transport optimization) demonstrate practical applications of biological principles to engineering challenges.

• Software Engineering
• Distributed Systems
• Machine Learning
• +5 more

Assistant Professor Nikola Tanković, Ph.D. (born 1986 in Pula, Croatia) is affiliated with the Faculty of Informatics in Pula at Juraj Dobrila University of Pula . He received his B.Sc. (2009) and Ph.D. (2017) in Computer Science from University of Zagreb Faculty of Electrical Engineering and Computing. His roles include Project Leader of EDIH Adria , Vice Dean for Science and Industry Relations (2020-2024), and Member of University Informatics Committee (2019-present). Teaching: Offers courses in Programming, Software Engineering, Distributed Systems, and Web Applications Research: Focuses on Software Modeling, Quality Optimization, Distributed Systems, and Machine Learning applications across domains His 15 most recent publications span Cloud Computing , Peer-to-Peer Learning , Medical Imaging Optimization , and Business Process Modeling . Awards include the Rector's Award for SCORE 2009 Championship . He advises students on projects related to database systems, distributed architectures, and AI applications. Current initiatives include EDIAH Adria (European Digital Innovation Hub) and EVOSOFT (Software Evolution Analysis).

• Neuroethology
• Computational Neuroscience
• Sensory Processing
• +5 more

Jan Benda , PhD, is a Professor at the University of Tübingen within the Faculty of Mathematics and Natural Sciences , specifically affiliated with the Department of Biology and the Institute of Neurobiology , leading the Neuroethology working group. His research focuses on neuroethology, computational neuroscience, and sensory processing mechanisms in weakly electric fish and other species. Research Interests: Jan Benda investigates how sensory systems encode natural signals, emphasizing neural adaptation, burst spiking, and synchronization in weakly electric fish. His work bridges biological experiments with computational modeling to understand the interplay between stochastic and deterministic neural processes. Article Trends: His recent publications (2025-2022) explore statistical regularities in sensory processing across species, nonlinear signal transmission in spiking neurons, neural synchronization in electrosensory systems, genotype-phenotype correlations in ion channel mutations, and advanced methodologies for sensory system analysis. These studies highlight his integrative approach combining experimental neuroethology with computational frameworks. Academic Roles: As a full professor, Benda oversees teaching modules like Weakly Electric Fish (BIO3146) and Introduction to Scientific Computing and Statistics (BIO4201) . He contributes to the Neuroethology working group seminar and Integrative Neurobiology tutorials, reflecting his commitment to interdisciplinary education.

Daniele ProverbioView profile

Research Fellow

• Complex Systems
• Mathematical Biology
• Mathematical Epidemiology
• +7 more

Daniele Proverbio is a Research Fellow in the Department of Industrial Engineering at the University of Trento, where he teaches the "Mathematical epidemiology - modelling, parametrization and applications" course for PhD students. Previously, he was a Postdoc at the University of Luxembourg and contributed as a modeling consultant to the Luxembourg National COVID-19 taskforce. His educational background includes: PhD in Sciences de l'Ingénieurs with Specialization in Computational Sciences from the University of Luxembourg Laurea Magistrale in Physics of Complex Systems (110/110 cum laude) from the University of Turin and University of Western Piedmont Master in Business and Administration from Collège des Ingénieurs (Turin, Munich, Paris) Excellence school diploma from Scuola di Studi Superiori di Torino "F. Rossi" Daniele's research focuses on the robustness and resilience of complex systems, with applications spanning mathematical epidemiology, biological pathways, and neural networks. His work integrates models with empirical data using approaches from network science, multi-agent systems, and information theory. He has particular interest in critical transitions in natural systems and the ethics of AI, contributing to the field through both theoretical frameworks and practical applications in public health and biomedical contexts. His recent publications demonstrate a strong interdisciplinary approach, bridging computer science, biology, and social sciences. The research shows increasing focus on AI ethics, game-theoretic approaches to complex systems, and applications of mathematical modeling to epidemiology and biological systems. Notably, his work on Physarum polycephalum (slime mold) and critical transitions reveals innovative approaches to understanding complex adaptive behaviors. His scientific recognition includes: Winner of Best Thesis Award 2023 (University of Luxembourg) Winner of ESOF Travel Grant 2022 Winner of DESCOM Science Writing Competition 2021 Top 10 in COVID-19 Lung CT Lesion Segmentation Challenge 2020 Best presentation award at Euron + PhD Days conference 2019 International finalist at PLANKS 2017 Daniele serves as a reviewer for prestigious journals including PNAS and the Journal of the Royal Society B. He is a co-founder of Swarm Ethics and member of the editorial board of House of Ethics, focusing on actuable ethics for complex systems. His consulting work includes advising startups S-eye-S and Farmelody, and he has been actively involved in science communication through platforms like Instagram. As a member of multiple scientific societies including the Complex Systems Society and Network Science Society, Daniele contributes to the broader academic community through conference organization and editorial roles. He co-organized international workshops and serves on program committees for major conferences in complex networks and system theory.

Thomas WoolleyView profile

Associate Professor

• Mathematical biology
• Morphogenesis
• Reaction-diffusion theory
• +7 more

Dr Thomas Woolley is a Reader in Applied Mathematics at Cardiff University's School of Mathematics, where he leads research in mathematical biology with a focus on pattern formation and cellular dynamics. His academic journey began at the University of Oxford (2004-2017), where he specialized in mathematical biology, completing doctoral research on the pattern formation behind fish spots and zebra stripes. At Cardiff, he maintains an active research program while supervising PhD students and engaging in significant mathematical outreach. Dr Woolley's research interests center on mathematical biology, particularly morphogenesis, reaction-diffusion theory, cellular motion, stochastic dynamics, and neurobiology. His current work investigates muscle stem cell protrusions known as blebs that enable cells to navigate toward damaged muscle tissue for healing and regeneration. He develops analytical links between discrete cellular protrusions and continuous population distributions, with the goal of algebraically coupling observable cellular motion to unobservable structural features of the cell membrane. His research also explores Turing-type pattern formation across biological systems, from feather development to fingerprint variation. His recent publications demonstrate consistent output across high-impact journals, with work spanning theoretical mathematical biology, medical applications, and public health modeling. Notable recent projects include modeling indoor airborne transmission during the pandemic, analyzing bat movement patterns, and investigating pattern formation in biological systems. His research shows strong interdisciplinary connections between mathematics, biology, and medicine. Poster prize at international biology conference Dr Woolley actively supervises doctoral students and research assistants, with a track record of successful PhD completions. His supervision approach emphasizes connecting mathematical theory with biological applications, often through collaborations with experimentalists. He has developed several interactive web applications to implement research findings, including tools for predicting Covid-19 transmission and optimizing public transport seating during the pandemic. His work on stem cell motion and pattern formation continues to advance our understanding of fundamental biological processes with potential therapeutic applications.

Janina KneippView profile

Professor

• Surface-Enhanced Raman Scattering
• Plasmonic Catalysis
• Nanoscale Spectroscopy
• +4 more

Prof. Dr. Janina Kneipp is a Professor (W3) of Physical Chemistry at Humboldt-Universität zu Berlin, where she has led an active research group since 2012. She previously held positions as Assistant Professor at HU Berlin/BAM (2008-2012), Junior Researcher at BAM (2005-2008), and research appointments at Harvard Medical School, Princeton University, and Erasmus Universiteit Rotterdam. Education: Dr. rer. nat. (summa cum laude), Freie Universität Berlin (2002) Undergraduate/Graduate Studies in Biology & Physics, Freie Universität Berlin (1992-1998) Research Focus: Her interdisciplinary work bridges physical chemistry and biospectroscopy, with particular emphasis on: Surface-enhanced Raman scattering (SERS) for complex sample analysis Plasmonic catalysis and hot electron chemistry Multiphoton-excited vibrational spectroscopy Nanoscale biochemical mapping in plant and animal systems Development of advanced plasmonic substrates Publication Trends: Recent work demonstrates strong focus on multimodal spectroscopy applications, with studies combining SERS, hyper-Raman, IR, and synchrotron techniques to address questions in catalysis, nanoparticle-cell interactions, plant biochemistry, and biosensing. Publications frequently incorporate advanced nanomaterials, electrochemical methods, and machine learning-assisted spectral analysis. Scientific Awards: Fellow, European Academy of Sciences (2020) Caroline von Humboldt Professorship (2019) Wilhelm Ostwald Fellow, BAM (2012) Bunsen-Kirchhoff Award, GDCh (2010) ERC Starting Grant (2010) Academic Leadership: Currently advises 5 PhD students and leads multiple collaborative initiatives. Serves as Board Member of Einstein Center Catalysis (since 2019), Head of Chemistry Department (2014-2016), and Speaker of Graduate School SALSA (since 2012). Secured funding through DFG, EU networks, and ERC grants supporting spectroscopy infrastructure development. Lab & Team: Leads the KneippLab research group with 2 postdoctoral researchers, 5 graduate students, and technical staff. Research focuses on developing spectroscopic methods for interrogating biological and chemical processes at nanoscale resolution using plasmonic enhancement strategies.

Wylie StrobergView profile

Assistant Professor

• Biomechanics
• Biomedical Engineering
• Biomaterials
• +8 more

Wylie Stroberg is an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. He leads the Computational BioSystems Lab, where he conducts research at the interface between cell biology, physiology and engineering using a range of computational and theoretical techniques. His research interests span multiple areas including: Biomechanics and Biomedical Engineering Biomaterials Mechanics and Materials Composites and Polymers Nano and Micro Materials Computational Mechanics Systems Biology of Proteostasis and the Unfolded Protein Response Reactions in Crowded Cellular Compartments Wetting Phenomena of Nanoscale Structures Dr. Stroberg's research focuses on developing new quantitative techniques for studying complex biological systems across disparate length and time scales. His work has significant implications for understanding cellular physiology, protein homeostasis, and developing new therapeutic approaches for age-associated and protein folding diseases. He employs advanced computational methods including multiscale modeling, machine learning, and theoretical analysis to investigate biological phenomena from the molecular to cellular level. His research group has published extensively in mathematical biology and computational mechanics, with a consistent focus on enzyme kinetics, cellular stress responses, and computational modeling of biological processes. The publications demonstrate a strong interdisciplinary approach combining techniques from mechanical engineering, computational science, and molecular biology. Dr. Stroberg has received recognition for his work in mathematical biology and systems biology, with publications in journals such as the Journal of Theoretical Biology, Biophysical Journal, and Mathematical Biosciences. He currently advises several graduate students working on diverse projects including multiscale modeling of enzymatic nanosensors, protein-based modulation of endoplasmic reticulum shape, development of machine learning-based coarse grained models for high-entropy alloys, and simulation of high-entropy alloys for thermal-spray deposition. His lab has trained undergraduate and master's students who have gone on to further academic pursuits. The Computational BioSystems Lab maintains active collaborations with other researchers at the University of Alberta and beyond, working at the intersection of engineering, biology, and computational science.

Ilya NemenmanView profile

Professor

• Theoretical biophysics
• Biological information processing
• Coarse-grained modeling
• +7 more

Ilya Nemenman is the Samuel Candler Dobbs Professor of Physics and Biology at Emory University's College of Arts and Sciences. He is a theoretical physicist who has been instrumental in establishing Emory as a global leader in theoretical and modeling approaches to living systems, recognized as a 2021 Simons Investigator. His educational background includes a Ph.D. from Princeton University (2000), with additional education at Belarusian State University. He completed postdoctoral training at the NEC Research Institute and the Kavli Institute for Theoretical Physics. Nemenman's research focuses on understanding how biological systems learn from and respond to their environment through what he terms "biological information processing." He seeks to identify computational primitives employed by living organisms and determine if phenomenological, coarse-grained representations of biological processes can be functionally accurate. His work spans theoretical biophysics, coarse-grained modeling in systems biology and neuroscience, information transduction in biological systems, and learning and adaptation across molecular, neural, and evolutionary scales. Nemenman leads the Theory and Modeling of Living Systems (TMLS) initiative at Emory, which unites researchers from multiple departments and institutions to understand biology with precision comparable to physical sciences. His research group studies diverse systems including primate visual brain, neural signal transduction in C. elegans, cellular suicide dynamics, and multicellular effects in cellular signaling. Simons Investigator (2021) Winship Distinguished Research Professor of Physics and Biology (2017-2020) Fellow, American Physical Society (2016) General Member, Aspen Center for Physics (2015-2025) Phi Beta Kappa mentor recognition (2013, 2015) Chair Line, Division of Biological Physics, American Physical Society (2013-2017) McDonnell Foundation 21st Century Science Initiative Fellow Nemenman mentors postdoctoral researchers, including Audrey Sederberg who joined the faculty at the University of Minnesota, and Andrew Mugler who received the NSF CAREER Award and is now an assistant professor at the University of Pittsburgh. His research has been supported by significant grants including the Simons Foundation award providing $100,000 annually for five years. He is affiliated with multiple research initiatives including The New Mexico Consortium and The Center for Nonlinear Studies at LANL, and has collaborated extensively with experimental researchers to apply theoretical approaches to real biological systems.

• Automatic Control
• Systems Engineering
• Neural Networks
• +4 more

Laurent Signac is an Associate Professor in Automatic Control and Systems at ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers), part of the University of Poitiers. He maintains dual affiliations with the LIAS laboratory at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, contributing to the Automatic Control, Data Engineering, and Real Time research teams. His research spans automatic control, neural networks, and artificial intelligence with applications in industrial fault detection, robotics, and algorithmic problem-solving. Key contributions include neural network-based stator fault diagnosis in induction motors, fractional-order system identification, and explorations of algorithmic survival mechanisms. His work bridges theoretical control systems with practical engineering solutions across electrical engineering and computer science domains. Analysis of his publication timeline reveals consistent innovation in neural system identification (2001-2009), evolving toward interdisciplinary applications in cryptography (2013), light diffusion modeling (2014), and computational thinking education (2017). His research demonstrates sustained integration of control theory with neural computation across industrial, biological, and educational contexts. As a core member of LIAS laboratory's Automatic Control team, he participates in France's national research ecosystem focused on signal processing and real-time systems. The laboratory's dual-campus structure facilitates collaboration between ENSIP's engineering programs and ISAE-ENSMA's aerospace expertise, positioning his work at the intersection of academic research and industrial application.