Find Academic Supervisors

• Nonlinear boundary value problems
• Partial Differential Equations (PDEs)
• Evolution equations
• +8 more

Michael Filippakis is a Professor at the Department of Digital Systems, University of Piraeus, Greece. He holds a B.Sc. and M.Sc. in Mathematics from the University of Ioannina, and a PhD in Applied Mathematics from the National Technical University of Athens (NTUA), where he received the State Scholarships Foundation Award for his doctoral work. His academic career includes a position as a P.D.407/80 Lecturer before attaining his current professorship. He teaches courses such as Discrete Mathematics, Probability Theory, Information Theory, and Mathematical Analysis. Education: B.Sc. in Mathematics, University of Ioannina M.Sc. in Mathematics, University of Ioannina PhD in Applied Mathematics, NTUA His research focuses on nonlinear boundary value problems involving PDEs, evolution equations, optimization, optimal control, mathematical economics, game theory, communication systems simulation, and image processing. He has authored multiple textbooks, including Statistical methods in economics and business (2013) and Probability theory and elements of statistical analysis with Python, R, MATLAB, and SPSS (2019). Dr. Filippakis has published extensively in peer-reviewed journals and conference proceedings, accumulating over 50 citations. His work bridges theoretical mathematics with practical applications in technology and business. Key Awards: State Scholarships Foundation Award (PhD thesis) He actively engages in teaching and research, including guiding students through internships and advising on interdisciplinary projects. His involvement with organizations like the IEEE and IMIA reflects his commitment to advancing informatics and applied mathematics.

Qidi PengView profile

Research Professor

• Stochastic Processes
• Statistical Inference
• Machine Learning
• +5 more

Qidi Peng is a Research Associate Professor at Claremont Graduate University (CGU) and Academic Director of the Master of Science in Financial Engineering (MSFE) program within the Institute of Mathematical Sciences. His academic career includes roles as Research Assistant Professor (2012–2021) and Senior Technical Expert at AIG (2018–2022). He holds a Ph.D. in Applied Mathematics from Lille 1 University (France), focusing on statistical inference for multifractional processes in stochastic volatility models, under Prof. Antoine Ayache. His research spans stochastic processes, statistical inference, machine learning, and financial modeling. Notable contributions include work on fractional Brownian motion, multifractional processes, and algorithmic regularization techniques. Peng is fluent in multiple programming languages (C++, MATLAB, R, Python) and has contributed to editorial boards, including the Operation Research and Applications: An International Journal since 2014. Prior to his current roles, he served as a teaching fellow in France and a consultant for SOFT SOLUTIONS Company. His work bridges theoretical mathematics with applied domains like finance, insurance, and wireless networks.

Hugh R. WilsonView profile

Professor

• Visual Neuroscience
• Computational Vision
• Neural Network Models
• +5 more

Hugh R. Wilson is the ORDCF Professor of Biological & Computational Vision at York University, holding joint appointments in the Departments of Biology, Psychology, Mathematics, and Computer Science. Previously, he held a professorship in Ophthalmology & Visual Science at the University of Chicago (1985–2000). His research focuses on psychophysics, visual network models, and nonlinear dynamics in neuroscience. Wilson is a Fellow of the Optical Society of America and authored the influential book Spikes, Decisions & Actions: Dynamical Foundations of Neuroscience (Oxford University Press, 1999), which explores nonlinear systems in brain function. His work spans experimental and theoretical domains, including studies on motion perception, face recognition, and cortical neuron modeling. Key projects include investigating global orientation pooling in visual area V4, dynamics of binocular rivalry, and neural mechanisms of migraine aura. His neural network models integrate physiology, anatomy, and psychophysical data to explain visual functions. Wilson’s research has been published in journals like Vision Research , Nature , and Journal of Theoretical Biology . He has received grants for projects on visual adaptation, migraine-related visual phenomena, and developmental face perception. His lab at York University employs MATLAB simulations and fMRI techniques to study neural dynamics and visual processing across age groups and clinical populations. He is also involved in educational initiatives, including developing computational tools for neuroscience education and mentoring early-career researchers in theoretical and experimental vision science.

• Scientific Computing
• Numerical Analysis of PDEs
• High-Performance Computing
• +7 more

PD Dr. Florian Frank is Privatdozent (senior lecturer with full teaching licence) for Applied Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and heads the Bavarian research project „Parallel mesh loading and partitioning for large-scale simulation“ . His expertise spans high-performance computing, phase-field and discontinuous Galerkin methods, digital-rock physics, and reactive transport in porous media. Education & career 2022 – Venia legendi (private lecturer), Mathematics, FAU 2019 – Dr. habil., Mathematics, FAU 2013 – Dr. rer. nat., Applied Mathematics, FAU 2008 – Graduate Mathematician, University of Frankfurt 2021-2022 (acting) W2 Professor Scientific Computing, FAU 2018-2021 (acting) W2 Professor Mathematical Modelling, FAU 2017-2018 Senior Postdoc, CAAM, Rice University, USA 2014-2017 Postdoc, CAAM, Rice University, USA Research interests Frank focuses on the development and analysis of numerical schemes for partial differential equations that govern multiphase, multicomponent and reactive processes in porous or biological media. Key themes include discontinuous Galerkin and finite-volume methods , physics-preserving discretizations , high-performance computing , and digital-rock-based pore-scale simulations . He couples phase-field approaches with (Navier–)Stokes, Cahn–Hilliard, Nernst–Planck and density-gradient equations to quantify flow, transport, colloid dynamics and interfacial phenomena. Recent publications reveal a clear trend toward data-driven modelling : convolutional neural networks are trained with direct numerical simulation data to predict permeability and diffusion coefficients from 3-D micro-CT images, while advanced preconditioners and regularization techniques accelerate multiphase thermodynamic computations. Awards & recognition 2020 – Emmy-Noether-Prize der Naturwissenschaftlichen Fakultät, FAU 2017 – Promotion to Senior Postdoctoral Research Associate , George R. Brown School of Engineering, Rice University Projects, tools & supervision Frank currently leads a Bavarian state-funded project on parallel mesh handling for large-scale simulations. Together with collaborators he maintains the open-source MATLAB/GNU Octave toolbox FESTUNG for discontinuous Galerkin methods. Since 2018 he has (co-)supervised ten BSc and MSc theses on topics ranging from Stokes preconditioning to enriched Galerkin shallow-water solvers, regularly serves as reviewer for more than a dozen international journals, and is guest editor of special issues in Computational Geosciences and Oil & Gas Science and Technology .

Piotr SzymczykView profile

Professor

• Artificial Intelligence
• Embedded Systems
• Biomedical Engineering
• +5 more

Piotr Szymczyk is a Professor at the Department of Biocybernetics and Biomedical Engineering , AGH University of Science and Technology in Kraków. His research focuses on artificial intelligence , embedded systems , and real-time data processing , with applications in biomedical engineering, georadar analysis, and energy systems. Key research areas: Neural networks (Laplace/Z-transform), real-time systems , parallel computing , and georadar data classification Projects: NCN grants for 'Intelligent embedded systems' and 'Digital georadar data processing' His work spans embedded Linux , microcontroller programming (ARM, STM32), and wireless technologies (LoRa, Bluetooth LE). He has supervised doctoral and master's theses in these fields. Scientific awards: NCN Agreement No. 6693/B/T02/2011/40 Ministry of Science and Higher Education grant 0128/R/t00/2010/12

Krista OvervlietView profile

Assistant Professor

• Perception
• Haptics
• Tactile Perception
• +3 more

Dr. Krista Overvliet is an Assistant Professor at the Faculty of Social and Behavioural Sciences, Utrecht University, specializing in Experimental Psychology. Her research focuses on haptic perception, spatial cognition, and human-centered artificial intelligence applications. She actively contributes to tactile information processing studies and interdisciplinary teaching initiatives in Utrecht's AI program. Utrecht University, Faculty of Social and Behavioural Sciences Experimental Psychology Department Research themes: Haptics, Tactile Perception, Spatial Perception, Human-centered AI Overvliet's work explores tactile exploration mechanisms, perceptual grouping strategies, and sensory navigation profiles for visually impaired individuals. Recent studies investigate motor adaptation in signers and pandemic-induced touch deprivation effects. Her research outputs show strong connections to neuroscience, cognitive psychology, and AI ethics. Publications span journals like Journal of Experimental Child Psychology, PLOS ONE, and Nature Scientific Reports, with presentations at EuroHaptics and IMEKO conferences. Key skills include scientific programming (MATLAB, R, Python) and data analysis. She engages in public outreach through media appearances and events like Science Weekend and Betweter Festival.

• Nonlinear Analysis of Digital Systems
• Nonlinear Problems with Partial Differential Equations
• Optimization Problems
• +6 more

Professor Michael Filippakis is a faculty member of the Department of Digital Systems within the School of Information and Communication Technologies at the University of Piraeus. He has served as a Professor since August 2022 and is also an elected Member of the Board of Directors of the University of Piraeus since October 2022. His educational background includes: PhD from the National Technical University of Athens (NTUA) Bachelor's degree with honors from the Department of Mathematics of the University of Ioannina Master's degree with honors Professor Filippakis specializes in Nonlinear Analysis of Digital Systems with research interests spanning nonlinear problems with partial differential equations, optimization problems, game theory, Machine Learning, Data Mining, Data Science, and image processing. His work bridges theoretical mathematics with practical applications in digital systems and data analysis. With expertise in both theoretical foundations and practical implementation, he has contributed significantly to the application of mathematical methods in digital technologies. He has published over 63 scientific articles in international journals and conference proceedings, receiving more than 430 citations from other researchers worldwide. Additionally, he has authored 14 university textbooks and served as a reviewer for numerous international journals and conferences. As an educator, Professor Filippakis has extensive teaching experience across multiple institutions including the National Technical University of Athens, University of the Peloponnese, University of Thessaly, Panteion University, various Higher Military Academies, and Technological Educational Institutes. He has taught diverse courses ranging from Machine Learning and Data Mining to Mathematical Analysis and Applied Linear Algebra, often incorporating computational tools like MATLAB, Mathematica, Python, and R.

Pavlos TopalidisView profile

Lecturer

• Sleep Science
• Cognitive Neuroscience
• Consciousness Research
• +5 more

Dr. Pavlos Topalidis is a Greek cognitive neuroscientist and PhD candidate at the University of Salzburg's Centre for Cognitive Neuroscience (CCNS), working in the laboratory for Sleep and Consciousness Research under the supervision of Univ.-Prof. Dr. Manuel Schabus. Since October 2023, he has served as a Junior Lecturer at the University of Salzburg, teaching Human Cognition and Sleep at both Bachelor and Master's levels. His educational background includes: PhD student at University of Salzburg (since 2019), Centre for Cognitive Neuroscience MSc in Neuro-Cognitive Psychology from Ludwig-Maximilians-Universität Munich (2017-2019) BSc (Hons, first class) in Psychology from University of Aberdeen, UK (2012-2016) Research visit at Yale University (2022) Dr. Topalidis's research focuses on information processing during sleep, particularly predictive coding and statistical learning mechanisms. His work explores how the brain processes information across wakefulness and sleep states, with applications in sleep monitoring using wearable technology. He investigates oscillatory brain activity patterns and their relationship to cognitive functions, with additional interests in cultural variations in sleep patterns and insomnia treatments. His technical expertise spans multiple neuroimaging methods including EEG, MEG, fMRI, and actigraphy, with advanced programming skills in Matlab and R for data analysis. His scientific contributions have been recognized with multiple awards including a poster award at the Sleep, Cognition and Consciousness Winter Symposium (2023) and a project presentation award at the ESRS Sleep School (2021). His research has led to numerous publications focusing on sleep classification algorithms, cross-cultural sleep studies, and the application of physiological measures to understand mental states. February 2023: Poster award at Sleep, Cognition and Consciousness Winter Symposium November 2022: Salzburg University research stay funding at Yale University (1700€) October 2022: Shortlisted for best poster award at the 26th European Sleep Research Society Conference September 2021: ESRS 3rd Sleep School project presentation award October 2013: ERASMUS scholarship As a Junior Lecturer, Dr. Topalidis mentors undergraduate and graduate students in cognitive neuroscience and sleep research. His current projects involve developing low-cost sleep monitoring solutions using wearable technology and investigating predictive coding mechanisms during sleep. He has also completed specialized training in Cognitive Behavioral Therapy for Insomnia (2023) and Good Clinical Practice (2022). Dr. Topalidis is an active member of the Sleep and Consciousness Research laboratory at the Centre for Cognitive Neuroscience, collaborating with researchers across Europe. His work bridges basic cognitive neuroscience with clinical applications, particularly in developing accessible sleep monitoring tools and understanding sleep's role in cognitive processing and memory consolidation.

David NadlerView profile

Assistant Professor

• Occupational health
• Safety engineering
• Environmental statistics
• +5 more

David Nadler serves as a Teaching Assistant Professor in the Department of Bioengineering at New York Institute of Technology (NYIT), having joined the institution in 2017. Previously serving as Chair of Environmental Technology and Sustainability, he transitioned to the Department of Bioengineering in 2022 while maintaining focus on environmental applications. His professional background includes significant experience as a director within the New York City Department of Environmental Protection, complementing his academic work with practical industry perspective. Dr. Nadler's research expertise spans occupational health , safety engineering , environmental statistics , and environmental infrastructure . His current work focuses on PFAS biodegradation through UV-oxidation and water quality monitoring systems, bridging engineering solutions with public health applications. His publications demonstrate a consistent pattern of applying statistical methods to environmental challenges, with recent work appearing in the Journal of Environmental Studies and Sciences and IEEE Access. His teaching portfolio includes BIOE 620 Statistics for Biomedical Engineers, ECET 325 Applied Statistics, and multiple environmental technology courses covering water treatment, waste management, and pollution prevention. Dr. Nadler holds professional certifications as an Associate Safety Professional (ASP) and Environmental Sustainability Professional (ENV SP), reflecting his commitment to practical industry standards. Dr. Nadler demonstrates expertise across multiple analytical platforms including R, Stata, and specialized engineering software suites for hydrology, stormwater management, and GIS applications. His work has received media attention in outlets including US News & World Report, News Wise, and Newsday, particularly regarding PFAS contamination and water conservation strategies.

Lukasz KrychView profile

Associate Professor

• Food Microbiology
• Gut Health
• Fermentation
• +3 more

Lukasz Krych is an Associate Professor in the Department of Food Science at the Faculty of Science, University of Copenhagen. His research focuses on the intersection of food microbiology, gut health, and fermentation technologies, with particular expertise in high-throughput community sequencing and bioinformatics. Dr. Krych's educational background includes: MSc and engineer degree in biotechnology (major: Molecular Diagnostics) from the University of Life Sciences, Poznan, Poland (2008) PhD from the University of Copenhagen, Denmark (2014) Postdoctoral research at the Department of Food Science, Faculty of Science, University of Copenhagen (2014-2018) Dr. Krych's research investigates the association between gut microbiome and health and disease in human and animal models using molecular genetic methods and classical microbiology techniques. He specializes in developing protocols for Illumina and Oxford Nanopore sequencing, high-throughput qPCR, and NGS data analysis including amplicon sequencing and metagenome assembly. His computational expertise spans Qiime, C++, R, Matlab, and bash, with additional skills in hardware assembly and software management for custom-built analysis workstations. Analysis of Dr. Krych's recent publications reveals a strong interdisciplinary approach spanning microbiology, genomics, and food science. His work applies advanced sequencing technologies to diverse ecosystems including human gut, animal models, and food systems, with particular emphasis on long-read sequencing for improved phylogenetic analysis, microbiome interactions with health conditions, and historical microbial cultures. Dr. Krych teaches multiple courses including Microbiology of Fermented Food and Beverages, Dairy Microbiology, Basic Cell and Molecular Biology, and Yeast Physiology and Applications at bachelor's and master's levels, plus the Microbiome Analysis PhD course. His teaching directly reflects his research expertise in food microbiology and molecular analysis techniques. Dr. Krych's laboratory collaborates with GenXone, one of Europe's first certified Oxford Nanopore Technologies laboratories, developing molecular diagnostics for genetic disorders and pathogen detection. His research team investigates microbial communities in food processing environments, gut health models, and historical culture preservation, demonstrating strong industry-academic partnerships and methodological innovation.