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Tjeerd V. olde ScheperView profile

Professor

• Dynamic Systems
• Neurocomputation
• Biological Systems Modeling
• +3 more

Dr. Tjeerd V. olde Scheper is a Professor and Research Lead in Computing at the School of Engineering, Computing, and Mathematics, Oxford Brookes University. He specializes in Dynamic Systems and Neurocomputation, focusing on biological problem-solving mechanisms and their applications in engineering, health, and medical fields. His notable contributions include the Rate Control of Chaos (patented) for stabilizing complex systems and Criticality Analysis for machine learning and biological data analysis. He leads the UG Computing Programmes and supervises PhD/MSc students in biomodelling and AI. Education: Holds MSc and PhD degrees in relevant disciplines (details unspecified). Active in research grants including DASA (£90k, 2020), Newton Fund (£97k, 2018), and multiple HEIF grants. Collaborates with institutions globally through projects like CARDIGAN (diabetic gait analysis) and [SENTIENT] (intelligent decision support). Research interests span bio-inspired control systems, nonlinear dynamics, and AI applications in healthcare. His work bridges computational models with real-world challenges in robotics, biomedical engineering, and environmental control (e.g., wind turbines, combustion engines). He contributes to interdisciplinary groups like CAVEPET, VAIL, and the Machine Learning & Robotics Group. Grants/Awards: Secured £90k+ from DASA and £97k+ from the Newton Fund. HEIF grants for wind turbine and engine control projects (2011–2012). Member of AAAS, IEEE, and neuroscientific societies. Consultancy roles include workshops on AI for diabetes and neural networks. Advising & Labs: Supervised Salman Khan (2023). Affiliated with CAICS, MOReS, DASOBU, and AIDAS. Leads projects like Map-to-Human Research Roadmap (NASA-funded, 2024–2026), emphasizing applied AI and movement science.

• Unmanned Aerial Vehicles (UAVs)
• Autonomous Systems
• Bird Damage Management
• +3 more

Dr. Zihao Wang is a Lecturer at the School of Aerospace, Mechanical and Mechatronic Engineering , University of Sydney. His research focuses on autonomous systems, particularly Unmanned Aerial Vehicles (UAVs) for agricultural pest control, with extensions into biomedical microfluidics and satellite technology. He holds a PhD (2021) on Intelligent UAVs for Pest Bird Control and a Bachelor of Engineering (Honours Class 1, 2014). Research Focus Dr. Wang’s work integrates aerospace engineering, biomimetics, and autonomous systems to solve real-world challenges. Primary domains include: Development of UAV-based bird deterrent systems using psychological warfare tactics Biomedical microfluidic platforms for thrombosis modeling Satellite attitude estimation and fault recovery systems Robotic aerial manipulation and perching mechanisms Publications Overview His multidisciplinary publications span UAV applications in agriculture (bird psychology, swarm systems), aerospace (satellite control, magnetorquers), and biomedical engineering (microfluidic thrombosis models). Recent work shows increasing convergence of autonomous systems with healthcare technology. Grants and Advising Grant (2022): Accelerating Australia's Space Innovation: Enhancements to the VR Flight Simulator (James N Kirby Foundation) Current Student : Advising Lucien on 3D Printing Molding Equipment for Pan-Space Specialty Environments Media Recognition Featured in The Newcastle Herald , Wine Australia , and Daily Democrat for pioneering UAV-based bird control solutions in vineyards.

Denis KuznetsovView profile

Research Fellow

• Inorganic Chemistry
• Catalysis
• Electrocatalysis
• +3 more

Denis Kuznetsov is a Research Fellow at ETH Zurich's Institute for Energy and Process Technology, affiliated with the Professorship for Energy Science and Engineering. His research focuses on inorganic synthesis and catalysis, particularly in designing advanced materials for energy conversion applications such as electrocatalysis, photocatalysis, and heterogeneous catalysis. He holds a Master's degree from Ivanovo State University (2010) and a PhD from Lomonosov Moscow State University (2015), followed by postdoctoral positions at MIT (2017-2018) and ETH Zurich (2018-present). His work emphasizes MXene materials, transition metal complexes, and perovskite-based catalysts for reactions like oxygen evolution, CO₂ hydrogenation, and NO₃⁻ reduction. Key contributions include studies on intermetallic nanocrystals, single-atom catalysts, and photo-switchable nanomaterials. He actively publishes in top-tier journals, with recent work exploring MXene surface engineering, bimetallic synergies, and solar-driven chemical valorization of glycerol. His research bridges fundamental material science with applied energy technologies, aiming to address sustainability challenges through innovative catalytic systems. Education: PhD in Chemistry, Lomonosov Moscow State University, 2015 Master of Chemistry, Ivanovo State University, 2010 Research Interests: Design of 2D MXene-based electrocatalysts Single-site and bimetallic catalytic systems Energy conversion reactions (OER/ORR, CO₂ reduction) Photoresponsive nanomaterials Sustainable chemical synthesis Publications highlight progress in catalytic material design, including palladium-zinc nanocrystals for multifunctional catalysis and bio-inspired MXenes for selective nitrate reduction. His work often integrates advanced characterization techniques like operando spectroscopy and XPS to unravel reaction mechanisms. Labs/Teams: Active member of the Laboratory of Energy Science and Engineering at ETH Zurich, collaborating with Prof. Yang Shao-Horn's group (MIT) and Russian institutions like the Institute of Problems of Chemical Physics (RAS).

• Organic Chemistry
• Catalysis
• Asymmetric Synthesis
• +5 more

Martial Toffano is a Researcher (Chargé de Recherche) at the Laboratoire de Chimie Moléculaire (LCM) within the Institut de Chimie Moléculaire et des Matériaux d'Orsay (ICMMO) at Université Paris-Saclay. His work focuses on organocatalysis , asymmetric synthesis , phosphonate chemistry , and green catalytic processes . Key projects include developing novel organocatalysts (e.g., Fiaud’s Acid, 2-hydroxymethyl-18-crown-6), enzymatic kinetic resolution protocols, and bio-inspired catalysts derived from biomass. Research Interests : Design of chiral catalysts for enantioselective transformations Organocatalytic cascade reactions Phosphonate synthesis with biological applications Lipase-catalyzed promiscuity in novel bond formations Development of eco-friendly synthetic methods Publications Trends : Recent studies emphasize: Triple cascade organocatalysis for bis-lactone synthesis (2024) Enantioselective deacylation via CAL-B lipase (2021-2023) Computational studies (DFT/molecular docking) for drug-target interactions (2023) Novel phospholane oxides and spiro-dihydropyranones (2020-2024) Advising & Grants : Collaborations span medicinal chemistry, sustainable catalysis, and materials science. Active in training researchers through ICMMO’s doctoral programs. Labs & Teams : Part of the LCM team specializing in molecular catalysis and biomass valorization.

• Rail Vehicle Dynamics
• Wheel and Rail Wear
• Freight Vehicle Dynamics
• +5 more

Sebastian Stichel is a Professor in Rail Vehicle Dynamics at KTH Royal Institute of Technology since 2010 and currently serves as Vice Dean of the School of Engineering Sciences (since 2024). His roles include Board member of the Swedish Association of Railway Industries (SWEDTRAIN) and International Association for Vehicle System Dynamics (IAVSD). He leads the KTH Railway Group and has held various academic and administrative positions, including Deputy Head of the Department of Engineering Mechanics and Head of the Department of Aeronautical and Vehicle Engineering. He is also an Adjunct Professor at Beijing Jiaotong University and Bandung Institute of Technology, and has been a Visiting Professor at multiple institutions globally. He holds Master and PhD degrees in Vehicle Technology from Technische Universität Berlin, supervised by Prof. Klaus Knothe. His research focuses on rail vehicle dynamics, wheel-rail interaction, and predictive maintenance, with notable contributions to understanding wear, rolling contact fatigue, and freight vehicle dynamics. He has led projects on active suspension systems and pantograph-catenary interaction, contributing to advancements in high-speed and heavy-haul rail transportation. His work integrates computational simulations with experimental validation, addressing challenges in railway infrastructure durability and operational safety. Over 10 years of industry experience at Bombardier Transportation further strengthens his academic contributions. Key contributions include developing models for wheel and rail life prediction and optimizing rail vehicle designs for reduced track damage, as seen in his extensive publication record and editorial roles in journals like Vehicle System Dynamics .

Mable FokView profile

Professor

• Photonics
• Soft Robotics
• Bio-inspired Photonics
• +5 more

Mable Fok is a Professor and Assistant Dean for Academic and Faculty Affairs at the University of Georgia's College of Engineering. Her research focuses on photonics and soft robotics, with the WAVE Lab advancing interdisciplinary applications in fiber optics, bio-inspired systems, and microwave photonics. She holds 5 patents and has secured funding from NSF, DARPA, and other agencies. Dr. Fok's work emphasizes biomimetic approaches, neuromorphic algorithms, and real-world applications in healthcare, agriculture, and robotics. Education: BSc, MSc, and PhD from Chinese University of Hong Kong, followed by postdoctoral training at Princeton University. Current roles include leading the Photonics and Soft Robotics Lab and overseeing academic affairs in the College of Engineering. Research Interests: Soft Robotics with embedded fiber optic sensors Bio-inspired photonics for adaptive systems Microwave photonics for dynamic RF systems Deep learning integration in sensing applications Key Awards: NSF CAREER Award (202X), UGA Creative Research Medal (202X), Ralph E. Powe Award (202X). Notable achievements include student-led award wins and groundbreaking work in photonics-based sensing. Teaching: Courses include Fiber Optics and You , Fundamentals of Logic Design , and Principles of Lasers and Photonics . Emphasizes foundational knowledge and self-learning skills. Labs/Teams: WAVE Lab (Photonics and Soft Robotics Laboratory) with specialized equipment for photonics, RF, and biomaterials research. Collaborates with industry partners and K-12 outreach programs.

Mingjie LinView profile

Professor

• Bio-Inspired Computing
• Computer Architecture
• Robotics
• +5 more

Mingjie Lin is a Professor in the Department of Electrical Engineering and Computer Science at the University of Central Florida's College of Engineering. He received his Ph.D. in Electrical Engineering from Stanford University in 2008 and has established himself as a leading researcher in bio-inspired computing and robotic control systems. Dr. Lin's research interests span multiple cutting-edge domains including: Bio-Inspired Logic Design with Graph and Field Theory Minimum-Energy Bio-Inspired Computing with Emerging Spintronic Devices Hardware-Assisted Large-Scale Neuroevolution for Multiagent Learning and Robotic Control Computer Architecture/Compiler, and Reconfigurable Computing His ongoing research is primarily funded by NSF grants focusing on Bio-Inspired Logic Design, Minimum-Energy Bio-Inspired Analogic Computing Devices, and Metaphysical and Probabilistic-Based Computing Transformation. Dr. Lin leads the Autonomous Computing Laboratory at UCF, where his team develops algorithms for improving dynamic adaptability of robotic agents in high non-stationary environments through the fusion of artificial intelligence techniques and classical robotic control algorithms. Dr. Lin has received numerous prestigious awards for his work: UCF Reach for the Star Award (2017) UCF CECS Dean's Advisory Award (2017) UCF Teaching Incentive Program Award (2016) NSF CAREER AWARD (2016) SAIC Faculty Fellowship in Electrical Engineering At the Autonomous Computing Laboratory, Dr. Lin and his team are engaged in creating innovative approaches to robotic control, particularly focusing on Dynamic Amorphous Obstacle Avoidance (DAO-A) where robotic arms can dexterously avoid dynamically generated obstacles that constantly change their trajectories and 3D forms. Their methodology leverages topological manifold learning and deep learning for dimension reduction, enabling conflict-free human-robot interactions even in dynamically constrained environments.

Per HenningssonView profile

Researcher

• Aerodynamics
• Animal Flight Mechanics
• Biological Fluid Dynamics
• +3 more

Per Henningsson is a Researcher at Lund University's Department of Evolutionary Ecology and Infection Biology. His work focuses on the aerodynamics and flight performance of flying animals, particularly insects, birds, and bats. He leads a four-year project funded by the Swedish Research Council (VR), studying maneuvers in wind tunnel experiments using Particle Image Velocimetry. Previously, he was a postdoctoral researcher at Oxford University's Zoology department, investigating insect flight efficiency, and completed his PhD at Lund University on swift flight behavior using radar and high-speed filming. Education: PhD in Zoology (Lund University, 2005-2010), Postdoctoral Research (Oxford University, 2010-2013). Research emphasizes aerodynamic wake analysis, wing morphology, and flight mechanics. Current projects explore uncharted areas of maneuvering flight across taxonomic groups. Funding includes grants from VR and Carl Tryggers Stiftelse. Collaborations span international institutions, with outputs published in journals like Journal of the Royal Society Interface and Royal Society Open Science . His work bridges engineering and biology, aiming to elucidate foundational principles of animal flight for applications in robotics and ecology.

• Integrated Photonics
• Imaging Systems
• Medical Diagnostics
• +7 more

George Giakos is a Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY, and Director of the Graduate Program. Previously, he served as a Professor at the University of Akron for over 20 years, directing imaging technologies and surveillance laboratories. His research focuses on imaging systems, photonics, medical diagnostics, and defense applications. Giakos holds a PhD from Marquette University and has authored over 200 peer-reviewed articles, 16 patents, and received prestigious awards including the IEEE Fellow distinction and the 2014 IEEE-USA Professional Achievement Award. Education Ph.D., Electrical & Computer Engineering, Marquette University M.S., Nuclear Physics, Ohio University Postgraduate Diploma, Nuclear Instrumentation, University of Edinburgh Laurea, Applied Physics, University of Turin Research Interests Giakos pioneers advancements in imaging devices and systems, integrating photonics, nanotechnology, and bio-inspired techniques. His work spans medical diagnostics (e.g., cancer detection via polarimetric imaging), defense (space surveillance, autonomous systems), and semiconductor characterization. He emphasizes interdisciplinary innovation, bridging defense and bioscience through novel imaging paradigms. Articles Overview Recent work includes neuromorphic architectures for space IoT, adversarial machine learning in power grids, and interdisciplinary frameworks for systematic innovation. His research often combines AI with domain-specific applications, addressing challenges in healthcare site selection, cybersecurity, and quantum sensing. Awards IEEE Fellow (2014) ONR Distinguished Faculty Fellow (2005) AFRL Space Surveillance Fellowships (2007–2009) NASA Faculty Fellowships (2000, 2001, 2004) Advising & Grants Giakos has secured over $6M in grants as PI, collaborating with AFRL, NASA, and industry partners like Lockheed Martin. His leadership spans IEEE committees, including chairing the TC-19 Imaging Systems Technical Committee and organizing international conferences like IEEE International Conference on Imaging Systems and Techniques. Labs & Teams Directs Manhattan College’s imaging and surveillance laboratories, advancing technologies such as multifusion polarimetric detection and bio-inspired robotic vision systems. His team develops platforms like the AFRL Multifunctional Imaging Surveillance system for defense and medical applications.

Usman RaufView profile

Assistant Professor

• Cybersecurity
• Insider Threat Detection
• Vehicular Security
• +7 more

Dr. Usman Rauf is an Assistant Professor of Cybersecurity and Director of the Graduate Cybersecurity Program at Mercy University's School of Liberal Arts. He leads the CRISP Lab and holds a Ph.D. in Software & Information Systems from the University of North Carolina at Charlotte. His work focuses on insider threat detection, vehicular security, bio-inspired cybersecurity architectures, and privacy quantification in smart applications. He has contributed to federal grants and published in journals like IEEE Access and Future Generation Computer Systems. Education: Ph.D. in Software & Information Systems, University of North Carolina at Charlotte Research Interests: Insider threat detection using behavioral analytics and machine learning frameworks Vehicular network security and inter-vehicle communication protocols Bio-inspired cybersecurity architectures mimicking biological systems for resilience Privacy quantification methodologies in IoT and medical devices Formal methods for policy regulation and attack mitigation Publications Trends: Recent work emphasizes ML-driven threat detection frameworks (Employee Watcher, E-Watcher), formal approaches to insider attacks, and application of bio-inspired strategies. Emerging focus on Bluetooth Low Energy (BLE) network security and pandemic data analysis via AI/IoT integration. Advising & Grants: Served as senior personnel on federal grants for cybersecurity research. Advises students in graduate cybersecurity programs, focusing on project-based learning through courses like IASP 600/601. Labs & Teams: Heads the CRISP Lab, which develops cutting-edge cybersecurity solutions using hybrid frameworks and bio-inspired techniques.

Roger SanterView profile

Lecturer

• Animal Behavior
• Neuroethology
• Insect Behavior
• +3 more

Roger Santer is a Lecturer in Zoology at the Department of Life Sciences, Aberystwyth University, within the Institute of Biological, Environmental and Rural Sciences (IBERS). He holds a BSc in Zoology (Newcastle University, 1999) and a PhD in Invertebrate Neuroethology (Newcastle University, 2003). Prior to joining IBERS in 2010, he held postdoctoral positions at Newcastle University (2003–2006) and the University of Nebraska-Lincoln (2006–2008), followed by a lectureship in Biology at the University of Limerick (2008–2010). His research focuses on animal behavior and the neural mechanisms underlying it, particularly visually-guided behavior in insects and arachnids. Techniques include electrophysiology, behavioral studies, and computational modeling. His work aligns with UN Sustainable Development Goals related to biodiversity conservation and sustainable ecosystems. He led the project Conservation of butterflies under natural and modified illumination conditions (2017–2020), funded by the Welsh European Funding Office. Media coverage highlights his research on insect visual perception, including why biting flies are attracted to blue objects and the role of UV lighting in butterfly behavior. Collaborations span institutions like the University of Nebraska-Lincoln and international partners, with datasets and open-access publications emphasizing pest control strategies and arthropod sensory biology.

Hanlin NiuView profile

Academic

• Collision Avoidance
• Path Planning
• Deep Reinforcement Learning
• +4 more

Hanlin Niu is an Honorary Research Associate at the University of Manchester, affiliated with the School of Engineering's Department of Electronic and Electrical Engineering (EEE). He holds a PhD from Cranfield University and a bachelor's degree from Tianjin University. His research focuses on autonomous systems, including collision avoidance algorithms, path planning, deep reinforcement learning, and formal verification. He has extensive industrial experience with projects funded by EPSRC, Innovate UK, and others. Current Position: Honorary Research Associate at University of Manchester Key Projects: Digital Twin-based Teleautonomous Systems (EPSRC), Robotics and AI in Nuclear (RAIN) Prior Experience: Postdoc at Cardiff University (robotics/computer vision) Research Interests: Collision avoidance, path planning for USVs/UAVs, deep learning for autonomous systems, and formal verification of decision-making systems. His work contributes to UN Sustainable Development Goals related to industry innovation and infrastructure. Notable Contributions: Developed collision avoidance algorithms for ASV Global's USVs, Kuka iiwa robot arm solutions, and multi-drone platforms. Authored 14 peer-reviewed publications, including high-impact papers on path planning and reinforcement learning.

S. Shankar SastryView profile

Professor

• Artificial Intelligence
• Control Systems
• Intelligent Robotics
• +5 more

S. Shankar Sastry is a distinguished academic and researcher holding the title of Professor in the Departments of Electrical Engineering and Computer Sciences, Bioengineering, and Mechanical Engineering at the University of California, Berkeley. He served as Dean of the College of Engineering from 2007 to 2018 and previously directed CITRIS (Center for Information Technology Research in the Interest of Society), the EECS Department, and the DARPA Information Technology Office. His academic journey includes a B.Tech. from IIT Bombay (1977) and advanced degrees from UC Berkeley (M.S. EECS 1979, M.A. Mathematics 1980, Ph.D. EECS 1981). Research interests span artificial intelligence, control systems, robotics, cyber-physical systems, and security. He leads initiatives at the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for New Media, and the Blum Center for Developing Economies. Notable contributions include work on sparse representation for face recognition, hybrid system analysis, and biomimetic robotics. His publications (15+ highlighted here) showcase expertise in dynamic games, networked control, and quantum computing. Awards include the Rufus Oldenburger Medal (2021), Berkeley Citation (2018), and multiple fellowships. Sastry has advised numerous students and oversees labs focusing on autonomous systems and human-robot interaction. Teaching includes courses on feedback control and linear system theory.

Maria MAKAROVView profile

Associate Professor

• Robotics
• Control Systems
• Human-Machine Interaction
• +5 more

Maria MAKAROV is an Associate Professor at CentraleSupélec, affiliated with the Control Department at L2S (Laboratoire des signaux et systèmes), part of Université Paris-Saclay. Her research focuses on robust control methods for interactive robotic systems, human motor control modeling, and bio-inspired control strategies. She holds a PhD in Automatic Control from SUPELEC and a Master's in Electrical Engineering from KTH Royal Institute of Technology. Research Interests: Robust control of uncertain robotic systems Human-robot interaction and safety Dynamic stability and impedance estimation in human motion Bio-inspired control for humanoid robotics Key Projects: Ongoing work includes the ANR HERMIN project and contributions to the SYCOMORE research team. Her recent publications explore human arm impedance dynamics, octorotor state estimation, and collaborative robotics evaluation.

• Supramolecular Polymers
• Biomaterials
• Stimuli-Responsive Hydrogels
• +7 more

Joël Lyskawa is a Professor at the University of Lille, affiliated with the Faculty of Science and Technology, Department of Chemistry, and a team leader in the Polymer Systems Engineering group within the Materials and Transformations Unit (UMET, CNRS UMR 8207). His research focuses on the synthesis and characterization of supramolecular polymers and the development of advanced biomaterials for therapeutic applications. His research interests span supramolecular polymers , stimuli-responsive hydrogels , biomaterials for drug delivery , bio-inspired adhesives , and dopamine-based functional coatings . These interests are deeply rooted in polymer chemistry, materials science, and biomedical engineering, with applications in wound healing, bone fixation, and vascular stents. His work integrates organic synthesis, polymer characterization, and biological evaluation to design intelligent, responsive materials. The recent publications of Joël Lyskawa highlight a strong trend in stimuli-responsive polymer systems , particularly those based on host-guest chemistry and catechol-functionalized polymers. His work explores thermoresponsive membranes , self-oscillating materials , piezoelectric composites , and supramolecular hydrogels with tunable properties. These studies aim to create smart, adaptive materials for biomedical and environmental applications, often in collaboration with interdisciplinary teams. Joël Lyskawa has supervised multiple PhD students, including Roa Bouhamad, Mélanie Girardot, Cédric Ribeiro, Sarah Defrancois, Schlund Matthias, and William Laure. His research has been supported by collaborative projects and access to advanced experimental platforms like the Chevreul Institute’s high-pressure platform and the Lille Electron Microscopy Platform (PMEL). He has also contributed to patents on bone adhesives and drug-eluting stent coatings, demonstrating translational impact. He teaches organic chemistry and analytical methods at both Bachelor’s and Master’s levels at the University of Lille. His scientific contributions are regularly published in high-impact journals such as Polymer , ACS Applied Materials & Interfaces , Chemistry – A European Journal , and Membranes . He has also delivered invited seminars on dopamine-based materials and biomimetic design, reflecting his expertise in bio-inspired materials engineering.