جستجوی استاد راهنمای دانشگاهی

Renato Negraمشاهده پروفایل

استاد

• High Frequency Electronics
• Cyber-Physical Systems
• Neuromorphic Computing
• +۷ مورد دیگر

Prof. Dr. Renato Negra is a faculty member at RWTH Aachen University, serving as the Chair of High Frequency Electronics within the Faculty of Electrical Engineering and Information Technology. His research is centered on advanced electronic systems with a focus on reconfigurable and low-power architectures for real-time applications. Research Interests: His work spans high frequency electronics, neuromorphic computing, embedded systems, and cyber-physical systems. He develops FPGA-based and edge-computing solutions for computer vision, robotics, and smart infrastructure, particularly in elderly monitoring and autonomous navigation. His research integrates deep learning with hardware optimization for energy efficiency and real-time performance. The recent publications highlight a strong trend toward event-based vision , neuromorphic sensors , and low-power embedded AI , applied in domains such as smart cities, healthcare, and robotics. There is a consistent emphasis on real-time processing, reconfigurable systems, and the deployment of neural networks on constrained hardware platforms. Scientific Awards: No awards or honors were mentioned in the provided text. Advising and Grants: While no specific students or advising roles are listed, the volume and depth of publications suggest active supervision or collaboration within research projects. Although no grants are explicitly named, involvement in EU-level initiatives (e.g., FitOptiVis ECSEL Project) and national R&D programs (e.g., BIO-PERCEPTION) can be inferred from the research topics and publication contexts. Labs and Teams: Prof. Negra leads the research activities in High Frequency Electronics at RWTH Aachen. While not directly linked to the Computer Vision and Robotics Lab (CVR-Lab) mentioned in the text, his work aligns closely with neuromorphic and CPS research themes, suggesting potential interdisciplinary collaboration.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

François Brémondمشاهده پروفایل

پژوهشگر

• Computer Vision
• Cognitive Vision
• Video Understanding
• +۲۲ مورد دیگر

François Brémond is a Research Director (DR1) at INRIA Sophia Antipolis, where he leads the STARS research team, which he founded on January 1, 2012. He was previously head of the PULSAR team starting September 2009. He is also a co-founder of the CoBTeK team at Nice University in collaboration with Nice Hospital, focusing on behavioral disorders in elderly patients with dementia. His research is centered on dynamic scene interpretation using video and sensor data, with applications in surveillance, healthcare, transportation, and ambient intelligence. Research Interests: Computer Vision: video processing, object detection and tracking, motion analysis, pattern recognition Cognitive Vision: video understanding, scene understanding, event recognition, behavior analysis, multi-sensor fusion, multimedia interpretation Machine Learning: deep learning architectures, self-attention, knowledge distillation, contrastive learning, self-learning, lifelong learning, knowledge-based systems, spatio-temporal reasoning Autonomous Systems: real-time systems, system evaluation, parameter tuning, system design, 3D visualization His work bridges low-level pixel data with high-level semantic behavior modeling, enabling systems to detect and interpret complex human and vehicle activities in real-world environments. Applications include crowd monitoring, fraud detection, airport operations, homecare for the elderly, and biological monitoring. He has authored or co-authored over 200 scientific papers and has (co-)supervised 18 PhD theses. He has participated in 12 European projects (e.g., FP6, FP7), 12 French national projects (ANR, DGE), and numerous industrial collaborations with companies such as Thales, SNCF, RATP, STMicroelectronics, and Alstom. He also serves as an expert reviewer for ANR and the European Commission. Scientific Leadership and Technology Transfer: Co-founder of Keeneo (acquired by Digital Barriers), Ekinnox, and Neosensys — startups in intelligent video monitoring and business intelligence Reviewer for top-tier journals (PAMI, CVIU, AIJ) and conferences (CVPR, ICCV, AVSS) Contributor to the ARDA workshops on video event ontology He has taught numerical classification at Nice University and video understanding at a Master’s level engineering school. His research program emphasizes generic, scalable systems for behavior modeling and long-term activity mining. Research Projects: Stress ID dataset (ECG and video for stress detection) Toyota Smarthome (Activities of Daily Living) SafEE2 (Homecare for elderly with autonomy loss) Praxis dataset (RGB-D upper-body gestures) GER'HOME, CARETAKER, RATP Project, ETISEO, AVITRACK, CASSIOPEE, ADVISOR, PASSWORDS

• Phase-change heat transfer
• Surface Engineering
• Thermal Management
• +۱۲ مورد دیگر

Dr. Ali Sadaghiani is an Associate Professor in Surface Engineering and an Anniversary Fellow at the University of Birmingham, affiliated with the Department of Mechanical Engineering in the School of Engineering. He leads the Smart Research Group, focusing on advancing phase-change heat transfer and interfacial transport phenomena for sustainable energy and water solutions. PhD in Thermofluidics, Sabanci University, 2019 MSc in Mechatronics Engineering, Sabanci University, 2015 BSc in Mechanical Engineering, Iran University of Science and Technology, 2012 His research lies at the intersection of thermal-fluid engineering and material science, with a strong emphasis on boiling, condensation, evaporation, and freezing. He develops advanced engineered surfaces to enhance heat transfer efficiency in applications such as electronic cooling, battery thermal management, solar desalination, and anti-icing systems. His work integrates experimental methods (e.g., micro-PIV, Raman spectroscopy), multiscale modeling (CFD, MD), and surface modification techniques. His recent publications and projects reflect a consistent focus on sustainable technologies, including solar-driven interfacial evaporation, hydrogen-powered propulsion systems, and solid-state battery thermal regulation. He has led and contributed to multiple Horizon Europe and national research initiatives such as Triathlon, ARISE, MicroFlowTec, and BioAFC, demonstrating strong interdisciplinary collaboration and innovation. ERC Starting Grant laureate Anniversary Fellow Dr. Sadaghiani actively supervises PhD students and welcomes applicants interested in phase-change heat transfer, surface engineering, AI-driven material design, and sustainable thermal systems. He has secured significant research funding and continues to develop scalable solutions for next-generation energy and water technologies.

• Signal Processing
• Image Processing
• Wireless Sensor Networks
• +۱۲ مورد دیگر

Professor Tariq Durrani is a Research Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, UK. He is also recognized as a Visiting Professor and Honorary Professor at other institutions, reflecting his international academic engagement. His research spans signal and image processing with applications in sensor networks, UAVs, and intelligent communication systems. Research Interests: Signal and Image Processing Integrated Sensing and Communication (ISAC) Unmanned Aerial Vehicle (UAV) Networks Wireless Sensor Networks Big Data Analytics for Energy and Infrastructure Cognitive Neuroscience-Inspired Systems His recent publications highlight a strong trend in leveraging deep learning and optimization techniques for next-generation wireless systems, particularly in intelligent transportation, secure communications, and IoT. The integration of sensing, communication, and computing in UAV-enabled environments is a dominant theme. His work contributes to UN Sustainable Development Goals in clean energy, smart cities, and climate action. Scientific Awards and Honors: Thales Scottish Technology Prize 2009 (Third Place) Elected Honorary Member, Eta Kappa Nu (2010) Honorary Professor, University of Stirling (2010) Visiting Professorial Fellow (2012) Vice President (International Activities) Recipient (2012) Research Leadership: He has led and co-led multiple funded research projects, including those supported by the Royal Society of Edinburgh and the British Council, focusing on geological disaster monitoring, microseismic detection in oil exploration, and cognitive information integration in heterogeneous networks. His collaborative network spans the UK, China, and other international partners. Laboratories and Research Teams: His work is associated with advanced research in intelligent systems and sensor networks at the University of Strathclyde, contributing to the Fingerprint research profile in areas such as Unmanned Aerial Vehicles, Algorithms, and Optimization.

Anthony Gachaganمشاهده پروفایل

استاد

• Ultrasonics
• Non-Destructive Evaluation (NDE)
• Ultrasonic Transducer Design
• +۱۳ مورد دیگر

Professor Anthony Gachagan is a leading academic at the University of Strathclyde, serving as Head of Department and Research Director in the Department of Electronic and Electrical Engineering (EEE) within the Faculty of Engineering. He has been Director of the Centre for Ultrasonic Engineering (CUE) since 2010, leading a multidisciplinary team of around 55 researchers with over £5M in active funding. He also holds leadership roles in RCNDE as Academic Chair and Management Board member, and participates in BINDT committees. His research spans ultrasonic transducer design, non-destructive evaluation (NDE), robotics, high-power ultrasound, and industrial process control. His work is highly collaborative, involving national and international partnerships with industry and academia, and contributes to sectors such as energy, aerospace, nuclear, and healthcare. He is actively involved in major research initiatives aimed at net zero, structural integrity, and advanced manufacturing. Recent publications highlight his focus on robotic ultrasonic inspection, adaptive signal processing, phased array techniques, and in-process monitoring of additive manufacturing. These works demonstrate a strong trend toward automation, real-time defect detection, and integration of ultrasonic systems in industrial and safety-critical applications. Scientific Awards: The BINDT Annual Conference Award (2019) Prof Gachagan has secured significant grants from EPSRC, Innovate UK, and industry partners, including projects on future ultrasonic engineering, lightning impulse testing, and robotic inspection for offshore wind. He supervises numerous research students and leads large collaborative teams. He also contributes to research commercialization through IAA projects. He leads the Centre for Ultrasonic Engineering (CUE), a vibrant research unit integrating electronic, mechanical, and biomedical engineers, physicists, and material scientists. The centre focuses on next-generation ultrasonic technologies, robotics integration, and industrial deployment.

• Non-Destructive Evaluation
• Ultrasonic Testing and Imaging
• Eddy Current Testing
• +۹ مورد دیگر

Dr. Ehsan Mohseni is a Senior Lecturer in the Department of Electronics and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is a key member of the Centre of Ultrasound Engineering (CUE) research group and supports the Royal Academy of Engineering and Spirit AeroSystems research chair led by Professor Gareth Pierce. His work focuses on advancing robotic and intelligent Non-Destructive Evaluation (NDE) systems for industrial applications. B.Sc. in Materials Science and Metallurgical Engineering, University of Tehran, 2006 M.Sc. in Metal Forming Processes, University of Tehran Ph.D. in Automated Defect Detection using Electromagnetic NDE, École de Technologie Supérieure (ETS), Montreal, Canada Dr. Mohseni’s research is centered on NDE 4.0, integrating advanced sensing, multi-physics modeling, and machine learning. His expertise spans ultrasonic and eddy current testing, multi-sensor data fusion, and probability of detection studies. He focuses on applications in additive manufacturing, welding, composites, and metal processing, aiming to overcome current technological barriers in industrial inspection. The recent publications highlight a strong trend toward intelligent, automated, and robotic NDE systems. Key themes include self-supervised learning for ultrasonic segmentation, human-machine collaboration in data analysis, and advanced signal processing for weld and composite inspection. The integration of AI, flexible sensor arrays, and embedded navigation systems reflects a shift toward smart, adaptive inspection platforms aligned with Industry 4.0. Scientific Awards: The BINDT Annual Conference Award (2019) Dr. Mohseni is actively involved in research funding and knowledge transfer. He serves as Principal Investigator on KTP projects with ETHER NDE LIMITED and NATIONAL OILWELL VARCO UK LIMITED, focusing on in-process inspection for additive manufacturing and field calibration for ultrasonic testing. He contributes to large-scale collaborative projects funded by Innovate UK and industry partners, emphasizing practical deployment of NDE solutions. He also supervises research staff and collaborates with global aerospace firms including Pratt & Whitney Canada, Safran, and Bell Helicopter. He is a core member of the Centre of Ultrasound Engineering (CUE), a dynamic research group developing next-generation ultrasound technologies. The team works on advanced robotic sensing hubs, flexible transducer arrays, and AI-driven data interpretation tools, often in collaboration with the Royal Academy of Engineering research chair and industrial partners.

Heeju Terry Parkمشاهده پروفایل

استاد

• Wearable Technology
• Functional Apparel
• Smart Clothing
• +۸ مورد دیگر

Heeju Terry Park is a Professor in the Department of Human Centered Design at Cornell University's College of Human Ecology. His research integrates engineering, design, and human physiology to advance wearable technology and functional apparel. He applies cutting-edge tools such as motion capture and thermal manikin systems to evaluate personal protective clothing and sports apparel, aiming to enhance mobility, safety, and comfort. Dr. Park’s research interests center on wearable technology, biomechanical and physiological assessment of clothing systems, and sports apparel innovation. With a strong foundation in both industry and academia, he brings practical design knowledge from his time as a sports apparel & footwear manager at PUMA Korea to his scholarly work. His research is highly interdisciplinary, bridging design, ergonomics, materials science, and human performance. His funded research projects reflect consistent excellence and relevance across sectors, drawing support from NASA, USDA, Department of Energy, US Air Force, Environmental Protection Agency, and Combating Terrorism Technical Support Office. These projects have yielded significant technological innovations, including patented wearable sensors and advanced footwear designs. Dr. Park has been recognized with numerous national and international awards, including the 2023 Fulbright U.S. Scholar Award and multiple accolades from the International Textile and Apparel Association (ITAA). His contributions have been celebrated for both scientific rigor and practical impact. He has successfully advised graduate students and continues to mentor emerging scholars. His research team has secured substantial funding—$1.96 million directly awarded to him out of $8.5 million total project funding—and developed six U.S. patents in wearable technologies. He is currently accepting new undergraduate and graduate students for the 2025–2026 academic year. Dr. Park leads an active research lab focused on wearable innovation and human-centered design. His collaborations span Cornell faculty and interdisciplinary teams, fostering a dynamic environment for technological advancement in apparel and protective gear.

• Climate change impacts in Antarctic terrestrial ecosystems
• Biological consequences of extreme climate events
• Remote biological monitoring technology development
• +۷ مورد دیگر

Dr. Krystal Randall is a Research Fellow at the University of Wollongong's School of Earth, Atmospheric and Life Sciences (SEALS), specializing in Antarctic terrestrial ecosystems. Her work integrates spatial biology, microclimate modeling, and field monitoring to study plant-climate interactions at ultra-fine scales. Her research focuses on climate change impacts in Antarctic ecosystems , particularly how extreme events affect moss communities. She develops novel technologies including drone-based remote sensing systems, MossCam, and smart sensors for remote biological monitoring. Her fieldwork spans Australia's alpine regions and multiple Antarctic locations, collecting critical data on physical-biological interactions in polar environments. Key research trends from her publications include the application of drone hyperspectral imaging and AI for Antarctic vegetation monitoring , microclimate modeling at unprecedented scales, and physiological studies of moss survival in extreme conditions. Her work bridges spatial biology, climate science, and technology development. Scientific recognition includes: Antarctic Science Foundation Ambassador (2023) She coordinates courses including BIOL241 (Biodiversity of Terrestrial Organisms) and BIOL362 (Ecophysiology), and supervises PhD research on Antarctic moss responses to extreme climate events. Her funded projects include the ECO-ANTARCTICA observing system and internal grants for technology development. Randall leads field campaigns developing new monitoring methodologies while contributing to global datasets like SoilTemp.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

• Information Security
• Cybersecurity
• Smart Card Security
• +۱۵ مورد دیگر

Konstantinos Markantonakis is a Professor of Information Security in the Department of Information Security at Royal Holloway, University of London, where he also serves as Director of the Smart Card and IoT Security Centre and the Transformative Digital Technologies, Security and Society Catalyst. He is a leading figure in embedded systems and IoT security, with extensive research and consultancy experience. BSc (Hons) in Computer Science, Lancaster University, 1995 MSc in Information Security, Royal Holloway, 1996 PhD in Smart Card Security, Royal Holloway, 2000 MBA in International Management, Royal Holloway, 2005 His research focuses on securing embedded and cyber-physical systems, including smart cards, mobile devices, drones, automotive systems, and IoT. He investigates trusted execution environments, side-channel analysis, secure protocols, and hardware-software binding. His work bridges theoretical security and practical implementation, often uncovering zero-day vulnerabilities in consumer devices. The recent publications highlight a strong trend in trusted computing, remote attestation, secure embedded systems, and privacy-preserving technologies. His research integrates blockchain for secure energy trading, develops frameworks for edge machine learning, and advances forensic techniques for damaged storage media. He also explores covert channels in mobile and cloud environments, demonstrating a deep understanding of both offensive and defensive security. Best Paper Award Markantonakis has led major research projects such as EXFILES (forensic extraction from encrypted smartphones), Future TPM (quantum-resistant trusted modules), and the Academic Centre of Excellence in Cyber Security Research. He has supervised numerous PhD students and delivered keynotes at international conferences. His consultancy work has impacted financial institutions, transport operators, and mobile platform security. He leads the Smart Card and IoT Security Centre, a research hub focusing on practical security for connected devices. The centre conducts cutting-edge research in side-channel attacks, secure application execution, and forensic analysis, contributing significantly to both academic and industrial advancements in cybersecurity.

Nele Mentensمشاهده پروفایل

استاد

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +۱۲ مورد دیگر

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Jorg Liebeherrمشاهده پروفایل

استاد

• Computer Networks
• Network Calculus
• Internet of Things (IoT)
• +۶ مورد دیگر

Jorg Liebeherr is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto, holding the Nortel Chair of Network Architecture and Services. His research focuses on computer networks , particularly network calculus , self-organizing networks , protocol design , and traffic scheduling . Education: Diplom-Informatiker (with distinction), University of Erlangen (Germany), 1988 PhD, Computer Science, Georgia Institute of Technology, 1991 His recent work includes low-cost LoRa mesh networks for environmental sensing and mathematical frameworks for traffic control in 5G and IoT systems. Publications span journals like IEEE Internet of Things Journal and conferences such as IEEE Infocom and ACM Sigmetrics . Scientific Awards: IEEE Fellow (2008) Outstanding Service Award, IEEE ComSoc TC on Computer Communications (2006) ACM Sigmetrics Best Student Paper Award (2005) NSF CAREER Award (1996) Advising and Grants: Supervised 15+ theses (MASc/PhD) and secured grants from NSF, Virginia Engineering Foundation, and industry partners. Labs: Leads the Network Research Lab and HyperCast projects, an open-source platform for application-layer internetworking.

James Busfieldمشاهده پروفایل

استاد

• Rubber
• Elastomers
• Soft Matter
• +۱۲ مورد دیگر

Professor James Busfield FREng, MA, PhD, CEng, FIMMM, FHEA is Professor of Materials and Deputy Head of the School of Engineering and Materials Science and Director of Strategy at Queen Mary University of London. He leads the Centre for Intelligent Transport and the Soft Matter Group, which is currently the largest such research group in the UK with a team of 14 postdoctoral researchers and PhD students. Research Interests Prof Busfield's research focuses on examining the physical behaviour by experiment and modelling techniques of polymers and soft matter such as elastomers and rubber materials. His work covers properties including abrasion, friction, fracture, creep, fatigue, viscoelastic behaviour, modulus enhancement, self healing, recycling, ageing and composite filler reinforcement. He is also developing smart soft materials that can sense their environment and soft actuating materials that can change shape in response to physical stimuli. His research has significant applications in the automotive industry (particularly tires), sustainable materials development, and advanced polymer composites for various engineering applications. The interdisciplinary nature of his work bridges materials science, mechanical engineering, and polymer physics. Publication Trends Prof Busfield's recent publications show a clear trend toward sustainable materials development, with increasing focus on recycling rubber and polymer waste, developing self-healing materials, and creating bio-based alternatives. His work increasingly incorporates advanced modeling techniques to understand material behavior at multiple scales, from molecular interactions to macroscopic performance. There's also a growing emphasis on applications in electric vehicles, wind energy, and sustainable fashion technologies. Scientific Awards and Recognition Fellow of the Royal Academy of Engineering (2020) National Teaching Fellow (2009) T B Marsden Professional Medal (2024) George Stafford Whitby Award (2021) Colwyn Medal (2009) Sparks-Thomas Award (2010) Fellow of the Higher Education Academy Fellow of the Institute of Materials, Minerals and Mining Chartered Engineer Research Leadership and Grants Prof Busfield has secured substantial research funding from diverse sources including EPSRC, EU Horizon 2020, Royal Academy of Engineering, and major industrial partners such as Aston Martin F1, Continental Tires, Bridgestone, Schlumberger, and Jaguar Land Rover. His current portfolio includes multiple PhD studentships and collaborative projects focused on sustainable elastomer products, tire technology, and smart materials development. He serves as Associate Editor for "Plastics Rubber Composites: Macromolecular Engineering" and "Rubber Chemistry and Technology" and has organized numerous conferences for the rubber community. Research Group Prof Busfield leads the Soft Matter Group at Queen Mary University of London, which includes research assistants like Dr. Thomas Griggs and numerous PhD students working on projects related to rubber reinforcement, tire technology, self-healing materials, and smart polymer composites. His group has strong industry connections and collaborates with leading automotive and materials companies worldwide.

Mingfeng Wangمشاهده پروفایل

مدرس ارشد

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +۵ مورد دیگر

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.