Find Academic Supervisors

• Nonlinear Dynamics
• Bifurcation Theory
• Piecewise Smooth Systems
• +7 more

Professor Viktor Avrutin is an extraordinary professor (Apl. Prof.) at the University of Stuttgart, Germany, affiliated with the Institute for Systems Theory and Automatic Control. He holds a Dr. rer. nat. habil. degree in Computer Science from the University of Stuttgart, where he was appointed as an extraordinary professor in 2020 after obtaining his Privatdozent status in 2011. Avrutin completed his academic journey with a B.Sc. from St. Petersburg State Polytechnical University (1992), an M.Sc. in Computer Science with Mathematics from the University of Stuttgart (1997), and a Ph.D. from the University of Stuttgart (2003) with a thesis on piecewise-smooth dynamical systems. His research focuses on nonlinear dynamics with particular emphasis on bifurcation theory for piecewise smooth systems, border collision and homoclinic bifurcations, low-dimensional chaos, and bifurcations of chaotic attractors (crises). He also investigates numerics, simulation software, algorithms, and neural networks. His work spans multiple disciplines including electrical engineering (power converters and inverters), mechanical systems (vibration machines), biological modeling (Goodwin's oscillator), and ecological systems (predator-prey models). Analysis of his recent publications reveals a consistent focus on piecewise smooth dynamical systems, with particular attention to border collision bifurcations, chaotic attractors, and their transformations. His research demonstrates strong interdisciplinary applications, connecting theoretical mathematics with practical engineering problems in power electronics, mechanical systems, and biological modeling. The recurring themes across his work include the study of complex nonlinear phenomena in systems with discontinuities, transformation of attractors, and the interplay between deterministic and stochastic elements in nonlinear systems. Professor Avrutin teaches courses including Nonlinear Dynamics and Chaos Theory I (summer term), Dynamics of Nonsmooth Systems, and Nonlinear Dynamics and Chaos Theory II (winter term) at the University of Stuttgart.

• Mass Spectrometry
• Metabolomics
• Lipidomics
• +5 more

Zheng-Jiang Zhu is a Professor at the Shanghai Institute of Organic Chemistry (SIOC), Chinese Academy of Sciences, within the Interdisciplinary Research Center on Biology and Chemistry (IRCBC) . Since 2013, he has led a research program focused on advanced mass-spectrometry technologies and their application to metabolomics, lipidomics, and systems biology. Education and Training PhD in Chemistry, University of Massachusetts Amherst, 2006–2011 BS in Chemistry, Nanjing University, 2002–2006 Post-doctoral Research Associate, Scripps Research Institute, 2011–2013 Research Interests Professor Zhu’s research integrates cutting-edge mass spectrometry , ion mobility spectrometry , and bioinformatics to address fundamental questions in metabolism , aging , and neurodegeneration . His group develops novel analytical workflows, software tools, and databases that enable high-throughput, high-coverage profiling of metabolites and lipids in complex biological systems. Specific areas of focus include: Stable-isotope tracing metabolomics for mapping metabolic fluxes across tissues Lipid transport and remodeling at subcellular resolution Machine-learning-assisted metabolite annotation and structural elucidation Biomarker discovery for early cancer diagnosis and aging interventions Scientific Output & Impact Over the past decade, Zhu has authored more than 78 peer-reviewed publications in leading journals such as Nature Communications , Analytical Chemistry , Science Advances , and Nature Chemistry . His 2025 papers alone address tissue-specific fatty-acid biosynthesis, AI-driven metabolite annotation, organellar lipid trafficking, and the anti-aging role of citrulline in macrophages. These works collectively advance both technological frontiers and biological understanding, positioning his laboratory at the forefront of integrated multi-omics research. Software & Databases AllCCS2 – A curated atlas of collision cross-section values for small molecules Met4DX – A unified data-processing platform for multidimensional untargeted metabolomics LipidIMMS Analyzer – Integrative tools for ion-mobility-based lipidomics MetFlow – Interactive workflow for metabolomics data cleaning and differential analysis Collaborations & Funding Zhu’s research is supported by multiple national grants and extensive collaborations with clinicians and industry partners. His group routinely engages in peer review for over 20 high-impact journals, reflecting the community’s recognition of his expertise in analytical chemistry and systems biology.

Jeffrey BrubacherView profile

Professor

• Injury Prevention
• Road Safety
• Substance Use
• +3 more

Jeffrey Brubacher is a Professor in the Department of Emergency Medicine at the University of British Columbia (UBC) Faculty of Medicine . He serves as Director of both the Vancouver General Hospital Emergency Medicine Research Program and the Road Safety and Public Health Research Lab at UBC. Degrees: MD, M.Sc. His research focuses on injury prevention and road safety , with special emphasis on impaired driving , active transportation , and substance use and injury . Key studies examine cannabis and alcohol impacts on driving, medication-related collision risks, and trauma outcomes. Scientific Awards: Recipient of the 2023 Research Excellence Staff Award at UBC His recent publications (2025-2024) demonstrate expertise in motor vehicle collision risk factors , substance use epidemiology , trauma care systems , and policy evaluation . Studies span cannabis impairment, cardiac device safety, pedestrian injuries, and healthcare cost analysis.

Mats HeimdahlView profile

Professor

• Software Engineering
• Critical Systems Research
• Model-Based Development
• +5 more

Mats Heimdahl serves as Professor and Department Head of the Department of Computer Science & Engineering within the University of Minnesota's College of Science and Engineering. His leadership spans both academic administration and cutting-edge research in critical systems engineering. His research focuses on developing predictable, defect-free software through innovations in automated software engineering. Key areas include model-based development, requirements engineering, and verification/validation methodologies. The Critical Systems Research Group (CriSys) drives investigations into tool-supported approaches for reducing development costs while improving software quality and safety assurance. Recent publication trends reveal intense specialization in safety-critical systems, particularly aircraft software verification, neural network testing, and formal contract-based design. His work consistently bridges theoretical formal methods with industrial applications in avionics and autonomous systems. Distinguished University Teaching Professor award recipient He has advised 22 PhD students including Tae Joon Byun (2022), Danielle Stewart (2021), and Andreas Katis (2020), often collaborating with researchers like Sanjai Rayadurgam and Michael W. Whalen. Current projects include NSF-funded initiatives on interdisciplinary computing education and high-assurance secure systems. As director of the Critical Systems Research Group (CriSys), he leads collaborative efforts with NASA, Rockwell Collins, and the National Science Foundation on architectural modeling, safety engineering, and IoT security frameworks.

David O'carrollView profile

Professor

• Neuroscience
• Sensory Biology
• Visual Processing
• +9 more

David O'Carroll is a Professor in Sensory Biology at the Department of Biology, Lund University, Faculty of Science. His research centers on visual processing in insect brains, using electrophysiological methods and computational modeling to understand motion detection and attention mechanisms. He is particularly known for his work on dragonflies and hoverflies, revealing complex neural functions once thought unique to mammals. University: Lund University School: Faculty of Science Department: Department of Biology Position: Professor Email: david.ocarroll@biol.lu.se His research explores how insect brains efficiently process visual information despite their small size. Using nanoelectrodes, he investigates neural circuits in the optic lobe, focusing on target detection, motion tracking, and sensory adaptation. His interdisciplinary work bridges neuroscience and engineering, contributing to bio-inspired technologies such as collision avoidance systems and artificial vision chips. Collaborations extend to neural stem cell research for developing bionic interfaces. The most recent articles show a strong focus on temperature-dependent neural tuning, long-term adaptation in visual neurons, photoreceptor sensitivity in wasps, and the neurotoxic effects of pesticides like imidacloprid on pollinators. These studies reflect a dual interest in fundamental neurobiology and ecological implications. David O'Carroll actively supervises graduate students and leads multiple research projects, including dissertations on electrophysiology, optical mapping, and pesticide effects. He has recently participated in the International Conference on Invertebrate Vision and hosted visiting researchers such as Andrew D. Straw. His work contributes to UN Sustainable Development Goals related to life on land and responsible innovation. Modulation of motion-detecting neurons by odors and pesticide exposure (supervision of master’s student) Hosting and collaboration with international researchers Active supervision of PhD candidates on visual physiology and neurotoxicology He is involved in interdisciplinary research teams focusing on sensory biology, neural computation, and pollinator health, with ongoing projects exploring electrophysiological responses, optical mapping across species, and the impact of sublethal pesticide exposure on insect behavior and ecosystem function.

• Autonomous Systems
• Biomimetic Robotics
• Unmanned Underwater Vehicles
• +7 more

Dr Euan W McGookin is a Senior Lecturer in Autonomous Systems & Connectivity at the University of Glasgow, based in the Aerospace Sciences division of the James Watt Building South. He coordinates Glasgow-delivered aerospace degree programmes in Singapore and serves on the IFAC Technical Committee on Marine Systems, underlining his sustained engagement with both local and international academic activities. Education: 1st Class Honours Master of Engineering in Avionics, University of Glasgow PhD in Optimisation of Sliding Mode Controllers for Marine Applications, University of Glasgow (1997) Research Interests Dr McGookin’s core expertise lies in the design, simulation, control and physical realisation of autonomous robotic systems. His work spans Autonomous Underwater Vehicles (AUVs) , Unmanned Aerial Vehicles (UAVs) , Planetary & Terrestrial Rovers , and Biomimetic Robotics . He is particularly recognised for applying biologically inspired principles to robotic locomotion, navigation and control. Complementary themes include advanced control methodologies—Sliding Mode Control, H-infinity, Inverse Model Control—optimisation heuristics, guidance & navigation, fault detection & isolation (FDI), and system health monitoring for both terrestrial and space applications. Publication Trends Across 80 publications from 1995 to 2025, his work has evolved from early genetic-algorithm-based controller optimisation for marine vessels to cutting-edge multi-rover mission planning and health monitoring for planetary exploration. Recent outputs (2022–2025) concentrate on micro-rover coordination, friction modelling for planetary soils, reinforcement-learning-driven sensor fusion, and robust health-monitoring architectures, reflecting a strategic pivot toward space robotics while retaining strong roots in control theory and autonomous systems. Scientific Awards & Fellowships Member, IFAC Technical Committee on Marine Systems Grant & Advising Narrative While specific grant values are not disclosed, his continuous funding stream is evidenced by sustained publication output, international conference leadership, and ongoing supervision of postgraduate projects. Dr McGookin advises a steady cohort of PhD and MSc students whose theses align with his research themes—ranging from rover fault diagnosis to biomimetic AUV coordination—thereby fostering the next generation of control and robotics engineers. Laboratory & Team Dr McGookin heads research activities within the James Watt Building South, leveraging interdisciplinary laboratories that integrate simulation suites, rapid-prototyping facilities for AUV and UAV subsystems, and dedicated test rigs for biomimetic propulsion and rover mobility studies. Collaborative networks extend across the University of Glasgow’s Aerospace Engineering group, Singapore Institute of Technology partners, and international consortia such as ESA and IFAC.

Alexis MaldonadoView profile

Researcher

• Robotics
• Robotic Manipulation
• Grasping
• +2 more

Alexis Maldonado serves as a Researcher and Manager of the robotics laboratory at the Institute for Artificial Intelligence (IAS), University of Bremen, where he oversees all hardware (robots, sensors) and software systems (ROS, drivers, calibration). Currently pursuing his PhD under Prof. Michael Beetz, he specializes in practical robotic implementations for real-world environments. His core research focuses on robotic grasping, manipulation, sensor integration for robot hands/arms, and end-to-end systems integration . Key projects include TUM-Rosie integration, the Boxy mobile manipulator, and REFILLS logistics robots. His work bridges theoretical robotics with deployable solutions in domains like warehouse automation and assistive kitchens. Analysis of his 15 most recent publications (2009-2025) reveals consistent emphasis on mobile manipulation dexterity , particularly tactile feedback for unmodeled objects, sim-to-real transfer for fluid handling, and perception-action loops in human-robot collaboration. His methodology prioritizes hardware-software co-design for robustness in unstructured environments. Maldonado actively contributes to the IAS research ecosystem through laboratory leadership and hands-on development of cognitive robotic platforms, supporting both academic research and industry applications in service robotics.

• Hardware Security
• Embedded Systems Security
• Physically Unclonable Functions (PUFs)
• +7 more

Jean-Luc Danger is a Professor at TELECOM Paris where he currently heads the Digital Electronic Systems Research Group. He is affiliated with the Secure and Safe Hardware (SSH) Research Team within the Information Processing and Communication Laboratory (LTCI). With a career spanning over three decades in academia after 12 years in industrial research at PHILIPS and NOKIA, Professor Danger has established himself as a leading expert in hardware security and cryptographic implementations. Professor Danger received his degree in electrical engineering from SUPELEC in 1981 before embarking on his industrial career. His academic journey began in 1993 when he joined TELECOM Paris, where he has since made significant contributions to the field of hardware security. His educational background in electrical engineering provided the foundation for his later specialization in secure hardware design and analysis. Professor Danger's research primarily focuses on embedded systems security , physically unclonable functions (PUFs) , side-channel attacks and countermeasures , and fault injection techniques . His work bridges the gap between theoretical cryptography and practical hardware implementations, addressing critical security challenges in modern computing systems. His research has evolved from foundational work on cryptographic algorithms to more recent investigations into hardware Trojans, aging effects on security primitives, and automotive security systems. Professor Danger has been particularly influential in developing methodologies for analyzing and protecting against electromagnetic fault injection attacks and side-channel information leakage. His extensive publication record demonstrates a consistent focus on hardware security challenges, with recent work showing increased attention to automotive security systems, machine learning applications for intrusion detection, and reliability issues in security primitives affected by aging and process variations. The trajectory of his research shows a natural progression from pure cryptographic implementations to more holistic security approaches that consider the entire hardware stack and its vulnerabilities. Through his leadership of the Secure and Safe Hardware research team, Professor Danger has fostered a collaborative environment that bridges theoretical security research with practical hardware implementation challenges. His work has contributed significantly to the development of standardized methodologies for evaluating hardware security and has influenced both academic research and industry practices in secure hardware design.

• Robotics
• Mechanical Engineering
• Control Systems
• +3 more

Hafsa Nouhi is a doctoral researcher at the ORCID -affiliated Faculty of Engineering Sciences, Vrije Universiteit Brussel, Belgium. Her research focuses on control systems for flexible robotics and collaborative robots (cobots). Doctoral scholarship recipient Active in robotics research since 2025 Research Interests Flexible link manipulator control Vibration suppression in robotic systems Safety protocols for human-robot interaction Dynamic modeling of cobots Scientific Awards Doctoral Scholarship Conference Participation 44th Benelux Meeting on Systems and Control (March 18–20, 2025) - Presented "Safe control for flexible link manipulators"

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +6 more

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.

• Sustainable Mobility
• Autonomous Vehicles
• Transportation Systems
• +4 more

Margarita Martinez Diaz is a researcher at the Departament d'Enginyeria Civil i Ambiental, Polytechnic University of Catalonia, affiliated with the BIT - Barcelona Innovative Transportation research group. Her work focuses on sustainable mobility, autonomous vehicle platooning, and gender equity in transportation systems. Department: Civil and Environmental Engineering University: Polytechnic University of Catalonia Research Group: BIT - Barcelona Innovative Transportation Research interests include: Connected and autonomous vehicle platooning Traffic flow optimization Gender-inclusive mobility solutions Active transportation infrastructure Equitable urban planning Sustainable development policy Recent publications analyze platooning safety, lane management strategies, and gender equity in mobility. Projects include Horizon Europe initiatives and national competitive R+D grants. Scientific awards: XXI Abertis Spain Award for Sustainable Mobility Best Master's Thesis Gerecht mobil Life E.V. Berlin

• Gas-Phase Chemical Kinetics
• Reaction Dynamics
• Laboratory Astrophysics
• +5 more

Ian Sims is a Professor at the University of Rennes 1 and a researcher at the Rennes Institute of Physics (IPR). His work spans teaching (chemical physics at undergraduate and graduate levels) and research in gas-phase chemical kinetics, reaction dynamics, laboratory astrophysics, and astrochemistry. He specializes in low-temperature experiments using the CRESU technique and co-developed the CPUF method. Affiliation : Department of Molecular Physics, Rennes Institute of Physics (IPR), University of Rennes 1 Research : Extreme temperature kinetics, astrochemistry, interstellar reaction modeling His research focuses on gas-phase reactions under extreme conditions, particularly in interstellar environments. He has published extensively in Nature Chemistry and Science , including studies on collisional excitation, tunneling, and HO3 radical thermodynamics. His work integrates experimental and theoretical approaches to bridge astrophysics and chemistry. IUF Senior Fundamental Chair (2023) ERC Advanced Grant (2016, CRESUCHIRP project) ANR Blanc HYDRIDES (2013-2016) France-Berkeley Fund grant (2012-13) Ian has supervised numerous PhD students, including Omar Abdelkhader Khedaoui (2022), Théo Guillaume (2021), and Divita Gupta (2021), whose theses advance astrochemical measurement techniques and reaction kinetics. His team’s innovations, such as the CRESU and CPUF methods, enable precise studies of low-temperature molecular interactions critical to understanding star formation and planetary atmospheres.

Gilbert NathansonView profile

Professor

• Gas-Liquid Interfacial Chemistry
• Chemical Reaction Dynamics
• Atmospheric Chemistry
• +3 more

Gilbert Nathanson is a Professor of Chemistry at the University of Wisconsin-Madison , where he leads the Nathanson Group. His research focuses on gas-liquid interfacial reactions with applications in atmospheric chemistry, combustion, and electron solvation dynamics. Education: B.S., Yale University (1979) Ph.D., Harvard University (1985) His experimental approach combines molecular beam scattering and liquid microjet techniques to study reaction mechanisms at gas-liquid interfaces. Key projects include: Super-Maxwellian helium evaporation from aqueous solutions Reactive uptake of N 2 O 5 in sea spray aerosols Angstrom-scale depth profiling of halide ions using helium ion scattering Surface solvated electron reactions in aqueous environments The group's publication analysis reveals expertise in interfacial reaction dynamics , molecular beam methods , and climate-relevant chemistry . Collaborative efforts with CAICE and international partners (e.g., Flinders University) demonstrate multidisciplinary impact. His laboratory maintains strong funding support from the National Science Foundation , Air Force Office of Scientific Research , and institutional sources. The Nathanson Group has trained numerous graduate students and postdoctoral fellows through rigorous experimental and theoretical training.

• Particle Physics
• Quantum Field Theory
• Muon Physics
• +3 more

Professor Graziano Venanzoni is a leading academic in particle physics, active in precision measurements and Monte Carlo simulations for collider experiments. His affiliations include roles in research groups focused on Particle Physics and participation in the MUonE Experiment . He is currently supported by the Leverhulme International Professorship (2022-2027). Research Interests : Muon physics, radiative corrections, Monte Carlo tools, hadronic cross sections, and electroweak interactions. Scientific Awards : Leverhulme International Professorship (2022-2027) Grants : Leverhulme Trust supports his work on the Muon Programme.

• Particle Physics
• High Energy Physics
• Quantum Chromodynamics
• +3 more

Dr. Paras Naik is an active researcher in the field of High Energy Physics , affiliated with an institution involved in the LHCb Collaboration . His work focuses on experimental studies of particle decays, symmetry breaking, and collision dynamics at the Large Hadron Collider. Research Interests: His expertise spans Quantum Chromodynamics , CP symmetry breaking , branching fraction measurements , and lepton flavor universality . He has contributed to rare decay observations and angular analyses of B-mesons, advancing understanding of the Standard Model. Recent Publications (2025) include studies on Three-pion correlations in proton collisions CP violation in baryon decays Branching fraction ratios in B-meson decays Charmonium production in heavy-ion collisions Hadronization processes in Bs decays These works reflect his focus on experimental particle physics and collider phenomenology .