جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Automotive Engineering
• Design Optimization
• +۳ مورد دیگر

Francesco LEALI is a Full Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia. His research focuses on Additive Manufacturing, Automotive Engineering, and Design Optimization, with applications in materials science and industrial processes. He teaches courses such as "Total Quality Management Oriented Design" and "Vehicle Conceptual Design" in the Master's programs of Mechanical Engineering and Advanced Automotive Engineering. Research Interests: Professor LEALI's work emphasizes sustainable design methodologies, advanced manufacturing processes (e.g., die casting, powder bed fusion), and the integration of sensor technologies in automotive safety systems. He has pioneered studies on multifunctional lattice structures for thermal management and shock absorption, as well as tolerance allocation and process simulation for automotive components. Publications: His recent articles address topics like additive manufacturing optimization, robust die casting processes, and sensorized seat systems for occupant safety. These contributions highlight advancements in manufacturing efficiency, material performance, and human-centric automotive design. Labs/Teams: His research is conducted within the Department of Engineering's facilities, collaborating with industry partners to bridge academic innovation with real-world applications in automotive and sustainable mobility sectors.

Pedro Castilloمشاهده پروفایل

پژوهشگر

• Nonlinear Control
• Robust Control
• Reactive Control
• +۷ مورد دیگر

Pedro Castillo is a DR CNRS Researcher at the Heudiasyc laboratory within the University of Technology of Compiègne, France. He leads the SyRI team (Systèmes Robotiques en Interaction) and oversees drone-related activities at the laboratory. His research focuses on nonlinear control, robust navigation, multi-agent systems, and resilient control strategies for unmanned aerial vehicles (UAVs). He has contributed significantly to the theoretical and experimental validation of control schemes for under-actuated systems, emphasizing real-time implementation on robotic platforms. His work bridges theoretical advancements and practical applications, particularly in aerial robotics and cooperative control architectures. Dr. Castillo has supervised 19 PhD students (15 defended, 3 ongoing, and 1 cotutelle), managed 29 research projects, and organized over 50 seminars at Heudiasyc. He is an Associate Editor for the IEEE Robotics and Automation Letters (2020–2024) and has participated in numerous academic committees, including ANR and HCERES evaluations. His research has resulted in over 170 scientific publications, including two influential books on aerial vehicle modeling and control. Key contributions include the design of resilient control algorithms, multi-agent coordination frameworks, and hardware prototypes such as the PVTOL, octarotor, and ROMEO quadrotor. His work has been showcased at international conferences and trade fairs, solidifying Heudiasyc's reputation as a leader in UAV control research.

• Additive Manufacturing
• Polypropylene
• Heat Transfer Analysis
• +۶ مورد دیگر

David Tormey is a Senior Lecturer and Director of the Precision Engineering Materials and Manufacturing Research Centre (PEM Research Centre) at Atlantic Technological University's Department of Mechanical & Manufacturing Engineering. His research focuses on additive manufacturing, heat transfer optimization, and advanced materials processing, particularly in polypropylene and stainless steel applications. He leads interdisciplinary projects addressing sustainable manufacturing and industrial innovation. Research interests include additive manufacturing techniques, laser welding of polymers, computational fluid dynamics (CFD), and sensor integration for real-time process monitoring. His work contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG 9) and Climate Action (SDG 13). Recent studies emphasize roughness effects on heat transfer in additive-manufactured channels, optimization of injection molding processes, and biomedical applications of nanocoatings. Collaborations span academic and industrial partners globally, addressing challenges in energy-efficient manufacturing and materials science. The PEM Research Centre, under his leadership, develops cutting-edge solutions for precision engineering and advanced manufacturing systems. His publications (58+ articles) highlight contributions to thermal engineering, polymer processing, and AI-driven quality control in manufacturing.

• Gameful Experience Design
• Posthuman Game Design
• Wearable Technology
• +۵ مورد دیگر

Oguz Buruk is an Assistant Professor at the Faculty of Information Technology and Communication Sciences, Tampere University, affiliated with the Gamification Group led by Juho Hamari. His research focuses on designing posthuman-era games and wearables, combining speculative design with human-nature-machine interactions. He holds a PhD from Koç University’s Design, Technology and Society Program, with a specialization in Interaction Design. Research Interests: Posthuman/transhuman game experiences involving brain-machine interfaces and robotic companions Wearable gaming technologies and computational fashion Design fiction and speculative design methodologies Human-nature interactions mediated through extended reality (XR) Key Projects: UNITE: Exploring forest-human-machine interplay WEARTUAL: Wearables for VR environments POSTEMOTION: Virtual reality’s socio-emotional impacts His work bridges design research with emerging technologies, emphasizing playful experiences as foundational to effective game design. Recent studies investigate embodied VR experiences, avatar embodiment effects, and transhuman communication systems through co-design workshops.

• 3D Printing
• Additive Manufacturing
• Welding
• +۶ مورد دیگر

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.

Marco Lo Prestiمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Materials Science
• Sustainable Materials
• +۶ مورد دیگر

Marco Lo Presti is a Research Assistant Professor in the Department of Biomedical Engineering at Tufts University. His work focuses on developing sustainable and functional biomaterials through bio-inspired approaches, with particular emphasis on silk fibroin composites, diatom biosilica, and bioadhesives. He holds a PhD from the University of Bari Aldo Moro (Italy) and has pioneered innovations in materials science and green chemistry. Education: Doctor of Philosophy (2019), University of Bari Aldo Moro, Italy. Research interests include bio-inspired material design, sustainable materials processing, and functionalization of natural polymers. His projects span from eco-friendly adhesives to bioelectronic interfaces, leveraging interdisciplinary methods like nanotechnology and chemical engineering. Recent work highlights include silk-based supercapacitors, dynamic adhesive fibers for robotics, and novel applications of diatom-derived biosilica. Publications reflect a strong focus on biomaterials innovation, with contributions to journals like Advanced Functional Materials and Biomaterials Science. His research emphasizes scalability and environmental impact, addressing challenges in renewable energy storage, wearable sensors, and sustainable manufacturing. Key projects involve biohybrid systems combining bacterial photosynthetic components with synthetic materials, and development of additive manufacturing techniques for leather-like silk materials. This work bridges fundamental science with applied engineering solutions for global sustainability goals.

Matthew Praegerمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Laser Materials Processing
• Optics
• +۳ مورد دیگر

Dr. Matthew Praeger is a Senior Research Fellow at the University of Southampton, specializing in the integration of artificial intelligence with advanced laser technologies. His work focuses on applying deep learning and machine learning to optimize laser systems for biomedical applications, materials processing, and optical imaging. He is affiliated with research groups such as the Smart Lasers and Special Fibres group, contributing to projects funded by the Engineering and Physical Sciences Research Council (EPSRC). Key research interests include AI-driven phototherapy, femtosecond laser machining, and predictive modeling of laser-material interactions. Praeger has published extensively on topics like deep learning for beam optimization, laser cutting topography prediction, and defect characterization in extreme ultraviolet mirrors. External Roles: Invited speaker at conferences on AI in biophotonics and deep learning for light-matter interactions (2019-2022). Supervision: Advising PhD student Michael David Tom McDonnell. His research bridges fundamental optics with practical applications in healthcare, manufacturing, and materials science.

• Manufacturing Engineering
• Materials Engineering
• Mechanical Engineering
• +۸ مورد دیگر

Dr. Guangxian Li is a Research Fellow in the School of Engineering at RMIT University, specializing in conventional and nonconventional machining. His research focuses on advanced manufacturing technologies, including laser machining, additive-subtractive manufacturing, and tool wear monitoring. He has contributed to studies on superhydrophobic microstructure fabrication, nanomaterials, and thin-wall part machining. His work bridges mechanical engineering, materials science, and robotics, addressing challenges in precision machining and material performance. Notable research areas include the machinability of titanium alloys and stainless steel, with a focus on improving cutting processes and tool longevity through innovative methodologies. Dr. Li’s research interests span manufacturing engineering, nanotechnology, and robotics, with applications in biomedical and environmental fields. Key contributions include optimizing machining parameters for additive-manufactured materials and developing predictive models for tool wear using machine learning. He collaborates on projects involving femtosecond laser applications, surface engineering, and AI-driven algorithms for robotics and fall detection systems. His publications highlight advancements in laser-based surface modification, coating fabrication, and multi-agent deep reinforcement learning for autonomous vehicle control. Despite no explicitly listed awards, his extensive peer-reviewed output demonstrates impactful contributions to manufacturing and materials science.

• Structural Engineering
• Architecture
• Civil Engineering
• +۳ مورد دیگر

Dr. Zhi 'Albert' Li is a Researcher and Postdoctoral Researcher at RMIT University's School of Engineering, specifically within the Centre for Innovative Structures and Materials (CISM). He holds a Ph.D. from RMIT University and a Bachelor of Fine Arts in Environmental Design from Tianjin University. His research focuses on topology optimization, computational design, and advanced manufacturing techniques, with particular emphasis on integrating subjective preferences and extended reality (XR) into structural design processes. Education: Bachelor of Fine Arts in Environmental Design, Tianjin University (2018) Ph.D. in Structural Engineering, RMIT University (2024) Research Interests: Topology optimization considering subjective preferences Integration of extended reality (XR) in topology optimization Design and construction of complex architectural surfaces Advanced manufacturing techniques including robotic fabrication Computational design tools development Achievements and Awards: Postgraduate Research Excellence Award (2024) DNA Paris Design Award (2024) Third Prize, International 3D Printing and Design Competition (2020) DigitalFUTURES Coding Award (2020) Third Prize, National Universities Bamboo Design and Construction Competition (2017) He is open to supervising Masters and PhD students in research areas related to his expertise. His work is supported by the ARC Laureate Fellowship project under the supervision of Emeritus Professor Mike Xie. He has also contributed to software development, including tools like iBESO, VR-BESO, and Legolizer, which aid in topology optimization and computational design. Labs/Teams: Centre for Innovative Structures and Materials (CISM), RMIT University.

Roland Snooksمشاهده پروفایل

استاد

• Architectural Design
• Generative Design
• Robotic Fabrication
• +۵ مورد دیگر

Professor Roland Snooks is a leading academic in architectural design and computational methods, holding a Professorship at RMIT University's School of Architecture and Urban Design. He directs the RMIT Architecture Tectonic Formation Lab, focusing on algorithmic generative design and additive manufacturing. His work integrates swarm intelligence and multi-agent systems to explore new architectural possibilities. Snooks holds a PhD from RMIT and a Master in Advanced Architectural Design from Columbia University (Fulbright Scholar). He has taught at prestigious U.S. institutions including Columbia, University of Pennsylvania, and SCI-Arc. Co-founder of experimental practice Kokkugia (2004) and collaborator with Laura Harper in Snooks + Harper, his designs are in permanent collections at the Centre Pompidou, FRAC, and National Gallery of Victoria. Research interests include robotic fabrication, generative design systems, and material innovation. He actively supervises Masters and PhD students in architectural design synthesis, digital fabrication, and ecological aesthetics. Key projects include 'Vibrant Enmeshment: Aesthetics & Strategies for an Ecocentric Architecture' (2024) and 'Hybridised Metal Formation' (2023). His work bridges academic research with creative practice, emphasizing interdisciplinary collaboration and sustainable technologies.

Akbar Khatibiمشاهده پروفایل

استاد

• Materials Engineering
• Aerospace Engineering
• Mechanical Engineering
• +۹ مورد دیگر

Akbar Khatibi is a Professor and Associate Dean, Academic Operations at the School of Engineering, RMIT University in Melbourne, Australia. He has held academic roles including Professor (2016–Present), Senior Lecturer (2012–2015), and Research Fellow positions at RMIT and other Australian institutions since 2000. Previously, he served as an Assistant Professor at the University of Tehran (2005–2011) and a Lecturer at the University of Melbourne (2001–2005). His research focuses on advanced composite materials, nanotechnology, structural integrity, and bio-inspired engineering solutions. He also explores interdisciplinary areas like aerospace engineering, civil engineering, and condensed matter physics. Key projects include optimizing metal-composite joints, enhancing fire resistance in composites, and developing sustainable materials from recycled tyre rubber. His teaching interests span composite structure design, fracture mechanics, and interface engineering. He has supervised numerous research projects, such as 'Aero-Structural Optimisation of Wingtip Design with Smart Materials' and 'Bio-inspired hybrid joints for aerospace applications,' though specific student names are not listed. Dr. Khatibi is actively involved in research collaborations and utilizes advanced techniques like molecular dynamics and finite element modeling. He holds an ORCID identifier (0000-0002-1036-7290) and is open to supervising further studies in his areas of expertise. His work emphasizes practical applications of materials science, including aerospace components, automotive engineering, and structural health monitoring. Projects like 'Multi-axial Fabric Composites for Aerospace Components' and 'Self-healing and self-sensing materials' highlight his dedication to innovation in composite technologies and durability. No scientific awards are explicitly mentioned in the provided texts, but his contributions to sustainable materials and structural engineering are notable.

• Cyber-Physical Systems
• Wireless Sensor Networks
• Secure Communication
• +۴ مورد دیگر

David Boyle is a Senior Lecturer at the Dyson School of Design Engineering, Faculty of Engineering at Imperial College London. His research focuses on secure, private, and trustworthy Cyber-Physical Systems with affiliations to the Centre for Smart Connected Futures, Design Psychology, Energy Futures Lab, and Human Behaviour and Experience Network. His expertise spans wireless sensor networks, energy harvesting, and privacy-preserving technologies. Key research areas include secure communication protocols, autonomous systems, and edge computing applications. Notable projects involve battery-free machine learning in underwater environments, privacy-preserving voice analysis, and 3D printing innovations for electronics. He holds an Orcid identifier 0000-0002-1993-4482 and is listed in Imperial's academic directory.

Sheila Russoمشاهده پروفایل

دانشیار

• Surgical Robotics
• Soft Robotics
• Medical Device Design
• +۲ مورد دیگر

Sheila Russo is Associate Professor of Mechanical Engineering and Materials Science & Engineering at Boston University. Her research develops biocompatible soft robotic technologies for minimally invasive procedures, focusing on restoring sensor feedback and dexterity in surgical interventions. Education includes a PhD from Sant'Anna School of Advanced Studies. Research explores: Miniaturized soft robots for biopsy and tissue manipulation Haptic feedback systems for surgical procedures Smart materials for deployable surgical instruments Optical sensing in endoscopic devices Recent publications (2025-2016) demonstrate innovations in bronchoscopic navigation, soft force sensing, millimeter-scale biopsy robots, and haptic interfaces for surgery. Article trends focus on integrating soft robotics with sensing capabilities for improved minimally invasive interventions. Awards include: NIH Trailblazer Award (2020) Best Poster Presentation, Hamlyn Symposium (2016) Leads research developing soft robotic systems for advanced endoscopic procedures and teaches Medical Robotics and Capstone Experience courses. Affiliations include the Robotics & Autonomous Systems program.

Tonio Buonassisiمشاهده پروفایل

استاد

• Materials Science
• Solar Photovoltaics
• Fusion Energy
• +۳ مورد دیگر

Tonio Buonassisi is a Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mechanical Engineering . His research focuses on autonomous labs for solar photovoltaics and fusion energy , combining machine learning with materials discovery to address sustainability challenges. Key research areas include high-throughput experimentation , AI-driven semiconductor characterization , and robotics for materials science . Recent publications highlight his work on self-driving labs for rapid material screening Bayesian inference in experimental design AI and computer vision for semiconductor properties perovskite solar cells and fusion materials His work also emphasizes democratizing lab automation and knowledge-integrated machine learning to identify synthesizable materials. While no formal education, student, or award details are provided in the text, his research spans materials science , renewable energy , and lab-scale innovation .

• Nanotechnology
• Mechatronics
• Atomic Force Microscopy
• +۶ مورد دیگر

Dr. Yuen Yong is an Associate Professor at the University of Newcastle's School of Electrical Engineering and Computing. She specializes in nanosystems and mechatronics, with a focus on nanopositioning systems, atomic force microscopy (AFM), and soft robotics. Her research aims to enhance the precision, accuracy, and speed of AFM and has led to groundbreaking innovations like high-speed nanopositioners and video-rate imaging techniques. Dr. Yong holds a PhD and Bachelor of Engineering (Honours) from the University of Adelaide. She has received prestigious awards, including the Vice-Chancellor's Award for Research Excellence (2014) and Pro Vice-Chancellor's Award for Excellence in Research Performance. Her work spans collaborations with global industry partners like Breville Australia and Nearfield Instruments. Her research interests include nanopositioning systems, piezoelectric actuators, MEMS devices, and control engineering. Notable contributions include the development of novel AFM scan patterns and high-throughput nanopositioning devices. Dr. Yong has authored over 100 journal papers, patents, and book chapters, with her work cited over 3,000 times. As an educator, she coordinates courses like ENGG2440 (Modeling and Control) and MECH4410 (Mechanics of Solids 2 and FEA). She supervises students in advanced mechatronics and has guided award-winning researchers. Her labs focus on dynamic systems and control, contributing to advancements in nanotechnology and robotics.