Find Academic Supervisors

D. V. SenthilkumarView profile

Associate Professor

• Nonlinear Dynamics
• Chaos Theory
• Synchronization
• +3 more

D. V. Senthilkumar is an Associate Professor of Physics at the Indian Institute of Science Education and Research - Thiruvananthapuram (IISER-TVM) in India. He holds a PhD in Theoretical Physics with a specialization in Nonlinear Dynamics from Bharathidasan University, completed in 2008. His academic journey includes postdoctoral research as an Alexander von Humboldt Fellow at the University of Potsdam, Germany (2008-2010), followed by research at the Potsdam Institute for Climate Impact Research (2010-2013). He served as a Senior Assistant Professor at SASTRA University (2014-2015) before joining IISER-TVM as an Assistant Professor in 2016, where he was promoted to Associate Professor in December 2022. His research primarily focuses on Nonlinear Dynamics, Chaos Theory, Synchronization phenomena, Time-delay Systems, and Complex Networks . His work explores intricate dynamical behaviors in coupled systems, including chimera states, synchronization transitions, oscillation quenching, and swarmalator dynamics. Recent publications demonstrate his continued exploration of adaptive networks, higher-order interactions, and complex collective behaviors in oscillator systems. His research has significant applications in understanding complex systems across physics, biology, and ecology. With over 100 peer-reviewed publications including a monograph on 'Dynamics of Nonlinear Time-delay Systems' published by Springer in 2011, his work has garnered over 2300 citations with an h-index of 24. His Google Scholar profile reflects substantial impact in his field, particularly in nonlinear dynamics and complex systems research. Alexander von Humboldt Fellow (2008-2010) Dr. Senthilkumar has mentored numerous researchers and collaborated extensively with leading scientists in nonlinear dynamics, including Jürgen Kurths, M. Lakshmanan, and Wei Zou. His research has been supported by various funding agencies that enable his exploration of complex dynamical phenomena in networked systems.

• Nonlinear Dynamics
• Complex Systems
• Deterministic Chaos
• +5 more

Dr. Manuel Alberto Matias Muriel is a CSIC Scientific Researcher at the Institute of Interdisciplinary Physics and Complex Systems (IFISC), a joint center between the Spanish National Research Council (CSIC) and the University of the Balearic Islands (UIB) in Palma de Mallorca, Spain. He has held previous positions as Assistant Doctor at the University of Salamanca, CSIC Senior Scientist at IMEDEA (CSIC-UIB), and Visiting Assistant Professor at Arizona State University. Dr. Matias earned his Master's degree in Chemistry (1985) and PhD in Chemistry (1990) from the University of Salamanca, followed by a PhD in Physics (1997) from the same institution. His academic journey reflects a strong interdisciplinary foundation spanning chemistry and physics. His primary research focuses on Nonlinear Dynamics and Complex Systems , with specific interests in deterministic chaos, synchronization phenomena, localized structures in extended systems, excitability, and biological modeling. His work bridges theoretical physics with practical applications, particularly in nonlinear electronics and optical systems. Dr. Matias has made significant contributions to understanding noise-induced transitions in chaotic systems and the dynamics of coupled nonlinear oscillators. Analysis of his recent publications reveals a strong emphasis on optical applications of nonlinear dynamics, particularly cavity solitons and pattern formation in nonlinear optical systems. His work increasingly incorporates interdisciplinary approaches, connecting physics with biological modeling as seen in his research on genetic diversity networks. The trajectory shows a progression from fundamental chaos theory to applied research with practical implications in optical technologies. Dr. Matias has been actively involved in teaching graduate courses including "Biologia de Sistemes" and "Sistemes Dinàmics, Caos i Patrons" for Master's programs in Advanced Physics and Applied Mathematics, as well as Complex Systems Physics at the University of the Balearic Islands. His research is conducted within the "Sistemes complexos en vida i medi ambient (CILIA)" research group, where he contributes to interdisciplinary projects examining complex systems in life and environmental contexts. Dr. Matias has collaborated with numerous international researchers and has co-organized scientific workshops, including the DYONET06 Workshop in Dresden (2006).

Hector GutierrezView profile

Professor

• Motion Control
• Electromechanical Systems
• Mechatronics
• +4 more

Hector Gutierrez is a Professor in the Department of Mechanical and Civil Engineering at Florida Institute of Technology's College of Engineering and Science. He also holds an affiliate faculty position in the Department of Aerospace, Physics and Space Sciences within the same college. Motion Control Electromechanical Systems Mechatronics Aerospace Systems Vision-Based Navigation Autonomous Systems Instrumentation His research focuses on aerospace systems, autonomous navigation, and control mechanisms, with applications in spacecraft dynamics, robotics, and sensor technologies. Recent publications highlight his work in vibration control, eddy current modeling, and reinforcement learning for spacecraft automation. Collaborative efforts include GPS-denied navigation and electromagnetic actuation for energy-efficient spacecraft control. Notable awards include the 2003 Office of Naval Research Young Investigator Award, 2001 NSF Career Award, and multiple Florida Tech research excellence recognitions. Affiliations include the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute for Aeronautics and Astronautics (AIAA). Contact: hgutier@fit.edu | Office: F.W. Olin Engineering Complex, 214 | Phone: (321) 674-7321

• Distributed Computing
• Algorithms
• Theoretical Computer Science
• +3 more

Leqi Zhu is an Assistant Professor at the University of Manitoba, specializing in theoretical computer science and distributed computing. Previously, he held postdoctoral positions at IST Austria (ISTA) and the University of Michigan, following his PhD at the University of Toronto. University of Toronto (PhD) University of Michigan (Postdoc/Lecturer) ISTA (Postdoc) University of Manitoba (Assistant Professor) His research focuses on distributed systems , consensus algorithms , and space complexity analysis , with significant contributions to Byzantine fault tolerance and synchronization protocols. His work explores fundamental limits in concurrent computing using novel proof techniques and simulation methods. Key publication trends include: Byzantine agreement protocols with optimal resilience (SODA 2023, STOC 2022) Lower bound proofs for distributed coordination (STACS 2019, PODC 2018) Complexity hierarchies in multiprocessor synchronization (PODC 2016) Space-efficient consensus implementations (OPODIS 2015) Scientific recognition includes: Co-recipient of Best Student Paper Award at STOC 2016 Contact: jimmy.zhu@umanitoba.ca

Jacek BrodzkiView profile

Professor

• Topological Data Analysis
• Noncommutative Geometry
• K-Theory of Operator Algebras
• +7 more

Professor Jacek Brodzki, a faculty member at the University of Southampton since at least 2002, holds the title of Professor of Pure Mathematics and serves as Head of the School of Mathematical Sciences . He co-founded and directs the Centre for Geometry, Topology, and Applications (CGTA) , while leading the Southampton node of the £10M EPSRC-sponsored "Mathematical Foundations of Intelligence: An 'Erlangen Programme' for AI . His research spans topological data analysis , noncommutative geometry , and K-theory , with applications in medicine , physics , chemistry , and computer science . His work includes theoretical advancements in CAT(0) cubical spaces and applied projects like "Joining the Dots: From Data to Insight" , which integrates TDA, machine learning, and statistics for multidisciplinary challenges. Supported by grants from the EPSRC , Leverhulme Trust , and Alan Turing Institute , his research has produced groundbreaking applications in metasurface design , asthma biomarker discovery , and neural network analysis . Recent publications highlight his expertise in topological methods for disordered materials (2023), time-series analysis (2022), and stability of Mapper-type algorithms (2020). His theoretical work on the Baum-Connes conjecture and exactness of groups continues to influence geometric group theory. Scientific awards include Fellowship at the Alan Turing Institute (2019) . He actively supervises PhD students and collaborates across disciplines, spanning mathematics , physics , and precision medicine , and participates in the U-BIOPRED consortium for asthma research.

• Neurosciences
• Cognitive and computational psychology
• Applied mathematics
• +4 more

Dr Paul Expert is a Lecturer in Health Informatics at the Global Business School for Health at University College London since January 2022. His interdisciplinary research bridges complex systems theory, graph/simplicial network analysis, and health informatics. PhD in Physics (Centre for Complexity Sciences, Imperial College London) BSc & MSc in Physics and MSc in Statistics (University of Geneva) His research focuses on: Developing topological data analysis methods for complex systems Mapping patient movement patterns to nosocomial infection risks Creating graph-based biomarkers for schizophrenia Investigating psychedelic effects on brain function Advancing dynamic connectivity frameworks for fMRI data Paul's publications demonstrate cross-disciplinary impact across neuroscience , medical informatics , mathematical modeling , and network theory . His recent work includes: 2025: Force field decomposition on graphs 2025: Maternal sepsis risk factors 2024: Dynamic functional connectivity frameworks 2023: Anesthesia-induced consciousness changes 2022: Electronic health record quality standards

• Theoretical Astrophysics
• Astrophysical Fluid Dynamics
• Extrasolar Planets
• +3 more

Kristen Menou is an Associate Professor at the University of Toronto, affiliated with the UTSC campus, the Dunlap Institute for Astronomy & Astrophysics, and the Canadian Institute for Theoretical Astrophysics (CITA). She earned her Ph.D. in 1999 from Paris. Her research centers on theoretical astrophysics, with a focus on fluid dynamics in planetary systems, exoplanet atmospheres, and stellar evolution. She employs analytical techniques and numerical simulations to study astrophysical fluid behavior, climate modeling of exoplanets, and the application of machine learning to astrophysical problems. Her research interests include: Theoretical modeling of exoplanet atmospheres and climates Dynamics of accretion discs and protoplanetary systems Fluid mechanics in astrophysical contexts Machine learning applications for planetary science Climate diversity in habitable zones Atmospheric circulation patterns in tidally locked planets Menou's recent publications (2022-2025) demonstrate a strong emphasis on exoplanet climate modeling, atmospheric dynamics, and interdisciplinary approaches combining astrophysics with machine learning. Her work frequently explores observational ambiguities in exoplanet characterization, climate stability thresholds, and novel computational methods for simulating complex astrophysical systems.

Donatella SciutoView profile

Professor

• Embedded systems
• Multiprocessor System on Chip
• Reconfigurable systems
• +5 more

Donatella Sciuto is a Full Professor in Computer Engineering at the Department of Electronics and Information of Politecnico di Milano, where she conducts research in System Architectures. She serves as Deputy Director of Education at CEFRIEL, managing executive company education training programs. Her academic career spans multiple leadership roles in professional organizations including the Council of EDA (CEDA) where she served as VP of Finance (2008-2009) and is currently President Elect. Her research focuses on embedded systems design methodologies, with particular expertise in Multiprocessor System on Chip, reconfigurable systems, hardware/software co-design, and design space exploration techniques. She leads the Embedded Systems Design and Design Methodologies research group (sagroup.elet.polimi.it) and has contributed significantly to the field of Electronic Design Automation. Her publication record shows a consistent focus on reconfigurable computing and MPSoC design, with recent work emphasizing dynamic reconfiguration techniques, hardware/software synchronization in multiprocessor systems, and optimization algorithms for heterogeneous architectures. Her research demonstrates a progression from foundational work in embedded systems to more complex system-level design methodologies for modern reconfigurable architectures. She has held editorial positions with prestigious journals including IEEE Transactions on Computers, Journal of Design Automation of Embedded Systems, and IEEE Embedded Systems Letters. She has served on program committees for major conferences including DAC, ICCAD, DATE, and CODES+ISSS, and has held leadership roles including Publications Chair for IEEE/ACM ESWEEK 2007 and Co-General Chair of ESWEEK 2009. Prof. Sciuto has advised more than 10 PhD students and currently mentors 4 PhD candidates at Politecnico di Milano. She teaches courses in Computer Architecture, Operating Systems, and High Performance Processors and Systems. She has published 5 teaching books in Italian across multiple editions and maintains active research collaborations through European and national research projects she coordinates.

Adelle CosterView profile

Professor

• Mathematical Biology
• Dynamical Systems
• Stochastic Modelling
• +6 more

Professor Adelle Coster is an applied mathematician at the University of New South Wales , affiliated with the School of Mathematics & Statistics . Her interdisciplinary research employs dynamical systems analyses , stochastic modelling , and queueing theory to address biological and biomedical challenges, ranging from cellular glucose transport to archaeological starch analysis . PhD (1998), University of New South Wales BSc (1991) First Class Honours, University Medal, University of New South Wales Her research spans mathematical biology , focusing on: Quantitative analysis of insulin signalling networks in glucose transport Dynamical systems theory for excitable cell behaviour (e.g., cardiac pacemaker cells) Geometric morphometrics and machine learning for archaeological starch identification Stochastic models of actin-tropomyosin interactions in cytoskeletal dynamics Recent publications highlight her expertise in interdisciplinary mathematical models , particularly in: Insulin resistance mechanisms Paleoenvironmental reconstructions Biological network synchronization Hypergraph applications in quantitative biology She has secured major ARC Centre of Excellence funding (2023-2029) as Deputy Director for Research, alongside multiple Discovery Projects for cellular transport models. Collaborations include experimentalists at the Garvan Institute , University of Sydney, and Technical University of Eindhoven.

Wesley Klewerton Guez AssuncaoView profile

Associate Professor

• Software Modernization
• Variability Management
• Software Quality
• +7 more

Wesley Klewerton Guez Assuncao serves as an Associate Professor in the Department of Computer Science within the College of Engineering at North Carolina State University. Previously, he held positions as a University Assistant/Senior Researcher at Johannes Kepler University Linz in Austria, Postdoctoral Researcher at Pontifical Catholic University of Rio de Janeiro in Brazil, and Assistant/Associate Professor at Federal University of Technology - Paraná in Brazil. His academic journey includes a Ph.D. in Computer Science from the Federal University of Paraná with a visiting period at Johannes Kepler University. Dr. Assuncao's research spans several critical areas in modern software engineering. His primary interests include Software Modernization (reverse engineering, re-engineering, and migration), Variability Management (variability mechanisms, software customization, and software reuse), and Software Quality (technical debt, code smells, and software refactoring). He also investigates Model-Driven Engineering (model inconsistency detection, repair generation, and change propagation), Collaboration in Systems Engineering (change synchronization, tool flexibility, and conflict awareness), Software Testing (regression testing, integration testing, and test case selection/prioritization), and AI4SE (Generative AI, Machine Learning, and Evolutionary Algorithms for Software Engineering). His recent publications reveal a strong focus on software modernization challenges, particularly regarding legacy systems transformation, microservices architecture, and the application of AI techniques in software engineering. The research shows increasing integration of Large Language Models in addressing software evolution problems, with emphasis on empirical validation through industrial collaborations. His work consistently bridges theoretical foundations with practical applications, as evidenced by multiple industry partnerships and real-world case studies. Dr. Assuncao has received numerous prestigious awards including Distinguished Reviewer Awards from FSE and SANER conferences, a Young Researcher Award from Johannes Kepler University, and multiple Best Paper Awards from top software engineering conferences. His research has been recognized with ACM SIGSOFT Distinguished Paper Awards and IEEE Computer Society TCSE Distinguished Paper Awards. In terms of academic service, he serves as Co-editor of the In Practice track at the Journal of Systems and Software and has held various leadership roles in major conferences including ICSE, SANER, MSR, and SPLC. He has successfully secured substantial research funding totaling approximately USD 1.91 million from sources including the Austrian Science Fund, Brazilian National Council for Scientific and Technological Development, and state-level Brazilian research foundations. Dr. Assuncao leads the Wolfpack Innovations in Software Engineering Research (WISER) Lab at NC State University, where he supervises graduate students working on cutting-edge software engineering research problems. His lab maintains strong collaborations with international institutions and industry partners including Dynatrace and ITPRO Consulting & Software GmbH.

Belma TuranView profile

Researcher

• City Logistics
• Vehicle routing problems
• Stochastic optimization
• +1 more

Belma Turan is a University Assistant (post doc) at the Institute of Transport Economics and Logistics, Vienna University of Economics and Business (WU), where she has conducted research since 2018. Her work centers on optimizing urban freight systems through advanced computational methods. Her academic credentials include: PhD in Logistics and Operations Management, University of Vienna (2011-2016) Master of Business Administration, University of Vienna (2009-2011) Bachelor of Business Administration, University of Graz (2005-2009) Dr. Turan specializes in City Logistics, Vehicle Routing Problems, Stochastic Optimization, and Metaheuristics. She develops algorithmic solutions for complex urban freight challenges, particularly focusing on stochastic elements in routing and sustainability transitions. Her methodology combines theoretical optimization frameworks with real-world case studies in Vienna's urban environment. Analysis of her 7 publications (2017-2024) reveals a consistent trajectory toward sustainable urban mobility. Early work established foundations in vehicle synchronization and routing algorithms, while recent research (2022-2024) directly addresses European sustainability initiatives, electric scooter fleet management, and cargo bike logistics. Her publications demonstrate increasing interdisciplinary engagement with environmental policy and practical implementation of optimization models. No major scientific awards are publicly documented for Dr. Turan. She has secured substantial research funding through 5 projects between 2018-2023: Sustainability Initiatives (2022-2023): Deputy project lead on European urban freight sustainability Electric Scooters in Vienna (2021-2022): Principal researcher on e-scooter fleet optimization INNS'PAKET (2020-2021): Co-lead on innovative parcel delivery systems MUKE (2020-2021): Critical success factors analysis in freight logistics Sustainable Distribution System (2018-2021): Vienna-focused two-tier delivery model Dr. Turan operates within WU's Institute of Transport Economics and Logistics research ecosystem, collaborating closely with Professors Vera Hemmelmayr and Thomas Wakolbinger. Her team specializes in computational logistics, with active projects spanning optimization algorithms, sustainable mobility transitions, and urban freight policy implementation.

Jens OpitzView profile

Professor

• Transportation Systems
• Railway Timetabling
• Optimization Algorithms
• +3 more

Jens Opitz is a Professor at the Faculty of Transportation Science at Technical University of Dresden, where he is based at Hettnerstraße 1, 01069 Dresden (Room POT 105). He teaches courses including Theory of Transportation Systems and Statistics, Reliability Theory, Advanced Theory of Transportation Systems, Surface Transport Aviation and Simulations, and Actual Aspects in Optimization of Processes in Transportation and Logistics. His research focuses on transportation systems optimization, particularly in railway operations. Dr. Opitz has developed significant methods for generating synchronized timetables, integrating freight traffic into passenger timetables, and optimizing rail network operations. His work bridges theoretical optimization approaches with practical railway operations challenges, with applications in both passenger and freight rail transport. Dr. Opitz's publication record shows a strong focus on railway timetable optimization, with recurring themes in periodic scheduling, conflict resolution, and capacity utilization. His research has evolved from foundational work on modulo network simplex methods to more recent applications in complex railway station track allocation and integrated freight-passenger timetable planning. The publications demonstrate expertise in both theoretical algorithm development and practical implementation of railway optimization systems. His key research projects include Timetabling, Enhancement of existing methods for the generation of synchronized timetables, Integration of freight traffic into the generation of synchronized timetables, and Algorithms for synchronized timetable in railway traffic. These projects reflect his dedication to improving railway operations through advanced optimization techniques and software implementations like the TAKT program system for automatic routing in railway networks.

• Digital Media
• Data-Driven Culture
• Self-Tracking Technology
• +5 more

Suneel Jethani is Senior Lecturer in Digital and Social Media at the University of Technology Sydney's School of Communication. His work interrogates the complex integration of digital technologies into everyday life, focusing on spatial transformations, data ethics, and the political implications of technological systems. PhD and MA in Media & Communication from University of Melbourne Grad Dip in Marketing from Monash University BSc in Computer Science from University of Melbourne Research interests span three main areas: Critical analysis of digital/data technologies' integration into daily life Emerging risk discourses around generative AI and knowledge workers Rhythm as analytical framework for understanding technology-mediated practices Recent publications examine: Data provenance as ethical methodology Surveillance capitalism's impact on leisure (2023 Griffith Review essay) Critical technopolitics frameworks Domestic deployment of punitive monitoring systems Rhythmanalytical approaches to technology studies He previously worked in open data policy reform for Victorian Government (2017-2020) and co-authored Openness in Practice (2021). His methodological approach combines: Technopolitical analysis Critical data studies Embodied computing critique Rhythmanalytical frameworks Decolonial design considerations Interdisciplinary ethical inquiry

Joachim WehlerView profile

Lecturer

• Algebraic Geometry
• Complex Analysis
• Riemann Surfaces
• +5 more

Privatdozent Dr. Joachim Wehler is affiliated with the Department of Mathematics at Ludwig-Maximilians-Universität München (LMU Munich). He has been a lecturer at LMU since 1985, teaching advanced topics in mathematics and computer science. Academic Rank: Lecturer (Privatdozent) Departments: Mathematics (LMU), with a focus on complex analysis, algebraic geometry, and Lie theory Research Interests span diverse areas of mathematics and computer science: Algebraic Geometry (K3 surfaces, moduli spaces, deformation theory) Complex Analysis (Riemann surfaces, Stein manifolds, modular forms) Lie Algebras (structure theory, classification, applications in physics) Computer Science (Petri nets, event-driven process chains, concurrency theory) Publications reflect his interdisciplinary work, including topics in modular forms , elliptic curves , and free-choice Petri nets . His research bridges abstract mathematics with computational models and business process analysis. Software and Teaching : He emphasizes computational tools like PARI/GP in mathematics education and has developed lectures on computational algebraic geometry and visual behavioral modeling in software systems.

Ribana RoscherView profile

Professor

• Data Science
• Machine Learning
• Biology
• +2 more

Prof. Ribana Roscher is a leading researcher at Forschungszentrum Jülich's Institute of Bio- and Geosciences (IBG) , specifically within the Plant Sciences (IBG-2) department. Her work bridges plant sciences and data science , focusing on sustainable agriculture and bioeconomy solutions. Expertise: Data Science, Machine Learning, Biology, Plant Research, Bioeconomy Contact: Building 06.2 / Room 305, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany Research Focus: Roscher's group develops data-driven models for analyzing plant structure and processes. Key areas include: Plant phenotyping Plant-environment interaction analysis Technologies for alternative biomass utilization Integration of molecular, physiological, and ecological approaches Her research emphasizes advanced machine learning methods to address field condition challenges, such as variable environmental factors and complex data structures. Current projects explore: Uncertainty quantification in agricultural decision-making Satellite image editing for climate-conditional analysis Explainable AI for harvest-readiness prediction Core-set selection for efficient land cover segmentation FAIR data principles in environmental risk mapping These methodologies are applied to problems like crop yield prediction , ocean eddy detection , and climate adaptation studies , supporting resource efficiency and climate-resilient agriculture.