جست‌وجوی استاد و پژوهشگر

Thanh Nho Doمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Surgical Robotics
• Soft Robotics
• +۵ مورد دیگر

Dr. Thanh Nho Do is a Scientia Senior Lecturer at the Graduate School of Biomedical Engineering (GSBmE), UNSW Sydney, and Director of the UNSW Medical Robotics Lab. He holds a PhD in Mechanical Engineering (Surgical Robotics) from Nanyang Technological University (NTU), Singapore, and a B.Eng. in Manufacturing Engineering from Ho Chi Minh City University of Technology, Vietnam. His research focuses on soft robotics, wearable technologies, and biomedical devices, including flexible surgical systems, soft actuators, and haptic interfaces. Education PhD in Mechanical Engineering (Surgical Robotics), NTU Singapore, 2015 B.Eng. in Manufacturing Engineering, Ho Chi Minh City University of Technology, Vietnam Research Interests Soft robotics for medical applications (e.g., NOTES systems, wearable haptics) Functional materials for biomedical devices Cardiovascular engineering and assistive devices Advanced control algorithms for medical robotics Key Contributions His work spans bioprinting, motor-free robotic systems, and soft wearable technologies. Recent studies include self-deploying cardiac compression devices and bioinspired artificial muscles. Awards 2025: CINSW Career Development Fellow 2024: NSW Young Tall Poppy Science Award 2023: Best Poster Awards at EMBC and ICRA Grants & Funding Includes NHMRC Ideas Grant (Lead CI), Cancer Institute NSW Fellowship, and UNSW Scientia Grant. Active projects address cardiovascular interventions and wearable robotics. Labs & Teams Leads the UNSW Medical Robotics Lab, collaborating on devices like soft robotic catheters and textile-driven exosuits.

T. Thang Vo-Doanمشاهده پروفایل

مدرس

• Biorobotics
• Cyborg Insects
• Bio-inspired Robotics
• +۱۳ مورد دیگر

Dr T. Thang Vo-Doan is a Lecturer at the University of Queensland in the School of Mechanical & Mining Engineering . He directs the UQ Biorobotics Lab and serves as an affiliate of both the Future Autonomous Systems and Technologies and the Queensland Brain Institute . PhD in Mechanical Engineering, Nanyang Technological University (2016) M.Eng. in Manufacturing Engineering, Ho Chi Minh City University of Technology (2010) B.Eng. in Mechanical Engineering, Ho Chi Minh City University of Technology (2008) His research focuses on biohybrid robotics , integrating biological systems with technology through cyborg insects , bio-inspired robotics , and fast lock-on tracking systems. He explores insect biomechanics and brain imaging in untethered insects , developing platforms for search-and-rescue missions and environmental monitoring. Recent work trends include: 2025: On-demand climbing control for cyborg beetles 2024: High-resolution insect tracking and soft textile muscles 2023: Intelligent insect–computer hybrid robots 2022: Autonomous navigation and robotic leg design 2018: Ultralightweight living robots Scientific honors: Human Frontier Science Program Cross-disciplinary Fellowship (2019-2022) He supervises projects on: Insect-machine hybrid robots Insect-inspired robotics Fast lock-on tracking Insect locomotion biomechanics Current grants include: NHMRC IDEAS Grant (2025-2028): Infrared and AI for Ross River virus surveillance Queensland Corrective Services Grant (2024-2027): Wastewater drug misuse analysis

• Robotics
• Smart Manufacturing
• Advanced Materials Processing
• +۹ مورد دیگر

Xiaoqi Chen is an Adjunct Professor in the Department of Mechanical Engineering & Product Design Engineering at Swinburne University of Technology, School of Engineering. He previously served as Deputy Director of the Manufacturing Futures Research Institute and Professor in the same department. Prior to Swinburne, he was Professor and Director of Mechatronics Engineering at the University of Canterbury (2006–2019), and held senior research roles in Singapore and the UK. Education: B.Eng. in Mechanical Engineering, South China University of Technology M.Sc. in Materials Technology, Brunel University, UK PhD in Electrical Engineering and Electronics, University of Liverpool, UK Prof. Chen’s research spans robotics, smart manufacturing, advanced materials processing, additive manufacturing, and autonomous systems . He is a strong advocate for translating research into commercial applications, evidenced by spin-offs like Invert Robotics Ltd. His work integrates intelligent systems with industrial processes to improve efficiency and sustainability. He is deeply involved in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing, co-leading the Biomimic Cobots program. His recent publications highlight advancements in robotic grinding, fault diagnosis using deep learning, composite materials, and additive manufacturing of superalloys . These works reflect a trend toward intelligent, data-driven, and sustainable manufacturing systems with applications in aerospace, energy, and healthcare. Scientific Awards and Recognitions: Fellow of the Royal Society of New Zealand Fellow of Engineering New Zealand (F.EngNZ) Fellow of Society of Manufacturing Engineers (F.SME) Fellow of American Society of Mechanical Engineers (F.ASME) New Zealand Hi-Tech Start-Up Excellence Award (2012) New Zealand Forest Owners Association Award (2015) Singapore National Technology Award Mechanical Engineering Research Award, University of Canterbury Advising and Grants: Prof. Chen supervises multiple PhD students in areas such as compliant mechanisms, soft robotics, and intelligent fault diagnosis. He is a Chief Investigator on industry-linked grants, including a project on rapidly-deployable soft robotic assistive devices funded by KNW DESIGN PTY LTD. His editorial roles include serving as Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Automation Science and Engineering. Labs and Teams: He leads research teams in robotics and advanced manufacturing at Swinburne and is a key figure in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. His work bridges academia and industry, focusing on real-world deployment of robotic and intelligent systems.

Leo Wuمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Assistive Robotics
• Manufacturing Robotics
• +۵ مورد دیگر

Dr. Leo Wu is a Senior Lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney, Australia. He earned his BS and PhD in Mechanical Engineering from Tsinghua University, followed by postdoctoral roles at National University of Singapore (2014-2015) and Queensland University of Technology (QUT) as a Vice-Chancellor’s Research Fellow (2016-2018). From 2016-2020, he was affiliated with the Australian Centre for Robotic Vision, an ARC Centre of Excellence. PhD in Mechanical Engineering, Tsinghua University (2013) BS in Mechanical Engineering, Tsinghua University (2008) His research focuses on medical robotics , particularly flexible robots and intelligent perception systems for minimally invasive surgery . He has also made significant contributions to Lie groups theory in robotics , kinematic modeling and calibration for surgical and industrial robots, and wearable assistive technologies . His work integrates soft robotics with variable stiffness mechanisms and multimodal sensing , often leveraging machine learning and control engineering to enhance robotic autonomy and precision. Scientific awards include prestigious fellowships such as the QUT Vice-Chancellor’s Research Fellowship , QUT ECARD/VCRF Travel Fellowship , and Associate Fellowship of Higher Education Academy . He has received multiple academic honors from Tsinghua University and national scholarship programs. Dr. Wu actively supervises HDR students, focusing on surgical robotics and teleoperated orthopaedic systems . His research portfolio includes grants from the ARC Discovery Projects , UNSW MME RIS , and QUT internal schemes , covering topics like bioinspired flexible haptics , vision-guided robotic assembly , and precision motion capture systems . Collaborations extend to institutions like QUT, NUS, and clinical partners in robotic vision.

Andrew Razjigaevمشاهده پروفایل

پژوهشگر

• Medical Robotics
• Surgical Robotics
• Robot Kinematics
• +۳ مورد دیگر

Dr Andrew Razjigaev is a PhD Researcher at the Queensland University of Technology (QUT), affiliated with the Medical Robotics Group within the QUT Centre for Robotics. He holds a Mechatronics Engineering degree from QUT (2017) and has been involved in the Medical Robotics Group since 2016, contributing to projects like teleoperating snake robots via hand gestures and visual servoing systems. His research focuses on surgical robotics, particularly developing continuum robots for vision-based teleoperated minimally invasive surgeries. Education: Bachelor of Mechatronics Engineering, Queensland University of Technology (2017) Research interests include robot arm kinematics, robotic vision, and teleoperation systems. His work integrates computational design algorithms with patient-specific surgical needs, advancing the field of minimally invasive surgery through snake-like manipulators and robotic collaboration (e.g., RAVEN II integration). He has also contributed to projects like CARTMAN, a low-cost Cartesian manipulator that won the Amazon Robotics Challenge, and semantic segmentation techniques for limited training data. He served as President of the QUT Robotics Club in 2018, developing robot arm workshops focused on control systems and computer vision for students. His contributions span surgical robotics, competition robotics, and medical automation, with a strong emphasis on practical applications and interdisciplinary collaboration.

• Wireless Communications
• Antenna Design
• CubeSat Technology
• +۴ مورد دیگر

Prof. Raad Raad is a Professor and Head of School at the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong. With over 25 years of research experience, he specializes in wireless communications, CubeSat systems, antenna design, and IoT. He leads the ARC Training Hub for Future Grids (2021–2026) and the ARC Innovation Hub for Health Sensors (2021–2026). Education: Bachelor of Engineering in Electrical Engineering (First Class Honours, University of Wollongong, 1997) PhD in Neuro-Fuzzy Logic Admission Control in Cellular Mobile Networks (University of Wollongong) Research Interests: His work focuses on antenna design for 5G/IoT, wireless power transfer, machine learning applications in communications, and CubeSat technology. Notable contributions include patents in industrial automation and high-impact publications in IEEE journals. Current projects explore wearable antennas and body-effect mitigation. Grants & Leadership: ARC Training Hub Leader (Future Grids, 2021–2026) ARC Innovation Hub Leader (Health Sensors, 2021–2026) Teaching & Supervision: Current PhD supervision includes CubeSat system design and grid-forming inverters for renewable energy systems. Teaching interests span wireless communications, peer-to-peer networking, and antenna engineering.

• Orthopaedics
• Tissue Engineering
• Osteoarthritis
• +۴ مورد دیگر

Ross Crawford is a Professor of Orthopaedic Research at Queensland University of Technology and a Visiting Medical Officer at Prince Charles Hospital and Holy Spirit Northside. His work focuses on orthopaedic research , particularly in osteoarthritis , bone regeneration , and clinical orthopaedics . He has secured significant grants from organizations like Stryker , ARC , and NHMRC . Rhodes Scholarship Stryker Fellowship Research Trends : His recent publications highlight advancements in hypoxia-mimicking scaffolds , stem cell therapies , and biomechanical innovations for joint repair. Collaborations span biomedical engineering , clinical sciences , and materials research . Scientific Awards : Neville Davis Prize (Finalist) - 1995 Society of St. Andrews Travelling Scholarship - 1995 Allan Frederick Dwyer Prize - 1994 Supervision : He supervises research on topics like robotic bone tracking and antimicrobial biomaterials . His lab collaborates with institutions globally, including Oxford University and Prince Charles Hospital .

Jonathan Robertsمشاهده پروفایل

استاد

• Field Robotics
• Medical Robotics
• Performance Robotics
• +۷ مورد دیگر

Jonathan Roberts is a Professor in Robotics at Queensland University of Technology (QUT), affiliated with the School of Electrical Engineering & Robotics within the Faculty of Engineering. He serves as Director of the Australian Cobotics Centre and Technical Director of the Advanced Robotics for Manufacturing (ARM Hub). His research focuses on Field Robotics, Medical Robotics, Performance Robotics, and Cobots. Roberts holds a PhD in Aerospace Systems Engineering from the University of Southampton (UK) and has extensive industry experience, including leading robotics projects at CSIRO. He co-invented the UAV Challenge Outback Rescue and pioneered the Museum Robot Project, earning awards such as the 2013 Australia and New Zealand Internet Award for Innovation. His work spans autonomous systems, surgical robotics, and cultural heritage mapping, with notable contributions to 3D mapping technologies like the Zebedee system. Roberts is an active editor for robotics journals and contributes to policy discussions on advanced manufacturing and robotics strategy. **Education**: PhD (University of Southampton, 1994), Honours in Aerospace Systems Engineering (1991). **Key Projects**: Australian Cobotics Centre, ARM Hub, UAV Challenge, Museum Robot Project, 3D mapping of heritage sites. **Awards**: Australia-India Strategic Research Fund (2017), BBC International News features (2014–2016). **Grants & Roles**: Chief Investigator at QUT Centre for Robotics, Deputy Research Director of Australian Research Centre for Aerospace Automation (2008–2013). **Labs/Teams**: QUT Centre for Robotics, collaborations with The University of Queensland and CSIRO. His research bridges robotics with healthcare, manufacturing, and cultural preservation, emphasizing human-robot collaboration and innovation.

Lingbo Chengمشاهده پروفایل

مدرس

• Control Engineering
• Medical Robotics
• Teleoperation Control
• +۵ مورد دیگر

Dr. Lingbo Cheng is a Lecturer at the School of Engineering, University of Newcastle, Australia, specializing in Control and Automation for Medical Robotics. Her research focuses on haptics, teleoperation control, non-linear systems, medical imaging, and multi-robot systems. Previously, she held positions as Assistant Professor at Zhejiang University and Postdoctoral Fellow at the University of Alberta. She received her PhD in Control Systems from the University of Alberta in 2019, with qualifications spanning machine learning, signal processing, and medical robotics. Her professional experience includes developing telerobotic systems for beating-heart surgery and haptics-enabled surgical training platforms. Dr. Cheng's research bridges control engineering and medical devices, emphasizing applications in surgical robotics, autonomous navigation, and human-machine interfaces. Her publications demonstrate consistent focus on reinforcement learning for autonomous systems, medical robotics control architectures, and computational methods for real-time applications. Analyzing her recent articles reveals strong trends in reinforcement learning applications for autonomous vehicles/vessels (5 papers), medical robotics innovation (4 papers), and control system optimization (4 papers), with emerging work in maritime navigation and air traffic management. Currently leading projects on teleoperation systems and multi-robot surgical training, Dr. Cheng collaborates internationally on magnetically actuated surgical tools and autonomous navigation systems. Her lab focuses on human-robot interaction for medical and transportation applications.

• Medical Robotics
• Orthopedic Surgery
• Arthroscopy
• +۳ مورد دیگر

Dr. Anjali Tumkur Jaiprakash is a research professor at Queensland University of Technology's Institute of Health and Biomedical Innovation, specializing in medical robotics and surgical innovation. Her work spans orthopedic surgery, robotic arthroscopy, healthcare co-design, and medical imaging technologies. With over 40 publications since 2012, she maintains active research collaborations across engineering and clinical disciplines. Her primary research explores: Robotic systems for minimally invasive surgery, particularly knee arthroscopy Computer vision applications for surgical navigation and anatomical measurement Deep learning approaches for medical image analysis Human-centered design for healthcare services and medical devices Orthopedic infection prevention and fracture healing biomechanics Publication analysis reveals strong emphasis on surgical robotics (43%), orthopedic clinical applications (36%), and healthcare design methodologies (21%). Recent work shows increasing focus on AI integration in surgical devices and epidemiological studies of orthopedic complications. Collaborative outputs demonstrate interdisciplinary networks spanning engineering, clinical medicine, and design disciplines. Dr. Jaiprakash contributes to significant research infrastructure including the Australian Centre for Robotic Vision and leads projects on robotic knee arthroscopy systems. She collaborates extensively with Princess Alexandra Hospital and international institutions on surgical technology innovation.

• Robotics
• Mechatronics
• Control Theory

Dr. Emre Sariyildiz is a Senior Lecturer at the School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong. He holds dual Ph.D.s from Keio University (Japan) and Istanbul Technical University (Turkey), and completed postdoctoral research at the National University of Singapore. His research focuses on robotics, mechatronics, and control theory, emphasizing applications in rehabilitation, agricultural automation, and advanced motion control systems. Education: Ph.D. in Integrated Design Engineering, Keio University (2011–2014) Ph.D. in Control and Automation Engineering, Istanbul Technical University (2010–2016) Postdoctoral Training in Biomedical Engineering and SINAPSE, National University of Singapore (2014–2017) Research Interests: Robotics: Kinematics, Dynamics, Rehabilitation, and Agricultural Robotics Control Theory: Robust Control, Disturbance Observer Design, and Sensorless Systems Meatronics: Precision Motion Control, Adaptive Systems, and Soft Robotics Recent Research Themes: His articles highlight advancements in disturbance observer-based control systems, soft robotic actuators, and agricultural robotics. Key trends include energy-efficient actuator design, haptic feedback systems, and robust motion control algorithms for industrial and medical applications. Grants & Supervision: Lead investigator on grants for wool harvesting robotics, Industry 4.0 teleoperation, and assistive devices Current supervision includes projects on robotic hands, quadruped robots, and agricultural harvesting algorithms Labs/Teams: Active in robotic prosthetics, mechatronic systems, and collaborative robotics research groups at the University of Wollongong.

• Medical Robotics
• Soft Robotics
• Prosthetic Upper Limb
• +۴ مورد دیگر

Dr. Hao Zhou is a Research Fellow at the University of Wollongong's Faculty of Engineering and Information Sciences. He holds a PhD from the same institution (2010–2014) and has held roles including Associate Research Fellow (2015–2021) and UOW PERL Fellowship (2021–2022). His research focuses on medical robotics, soft robotics, prosthetic limbs, and myoelectric hand gesture recognition. He has supervised projects on wearable HMIs, robotic prosthetics, and soft sensors/actuators. Zhou leads the ARC Centre of Excellence for Electromaterials Science as an Associate Theme Leader and collaborates with the Applied Mechatronics and Biomedical Engineering Research (AMBER) group. Research interests span HMI systems, robotic prosthetics, endoscopic capsule robots, and soft sensors/actuators. His work bridges biomedical engineering, robotics, and artificial intelligence. Notable contributions include novel sensor designs (e.g., FMG armbands, capacitive sensors) and adaptive control algorithms for soft actuators. Zhou has secured grants such as the UOW PERL Fellowship and National Foundation for Medical Research funding. His 45+ publications (15 highlighted here) emphasize wearable technologies, gesture recognition, and medical robotics applications. Awards include the UOW PERL Fellowship, recognizing his contributions to restoring functionality for individuals with limb differences. Current supervision includes projects on exoskeletons for brachial plexus injury patients, low-cost gesture systems using electrical impedance tomography, and multimodal HMI systems for cutting-edge applications. He prioritizes translational research to bridge technological innovation with clinical needs.

Yunlong Tangمشاهده پروفایل

مدرس

• Additive Manufacturing
• Smart Manufacturing
• Digital Twin Technology
• +۵ مورد دیگر

Dr. Yunlong Tang is a Lecturer jointly appointed by the Department of Mechanical and Aerospace Engineering and the Department of Materials Science and Engineering at Monash University. He also serves as Assistant Director of the Monash Centre for Additive Manufacturing (MCAM). His research focuses on digital additive manufacturing, AI-driven design tools, and smart manufacturing systems. He holds a Ph.D. from McGill University, a Master’s from Beihang University, and a Bachelor’s from Harbin Institute of Technology. Education: Ph.D. in Mechanical Engineering, McGill University, 2018 M.Sc. in Aerospace Manufacturing Engineering, Beihang University, 2013 B.Eng. in Mechanical Engineering, Harbin Institute of Technology, 2010 Research Interests: Design for Additive Manufacturing (DfAM) and open-source tools like IntraLattice AI and computational design for material-process-structure integration Digital twin-enabled smart manufacturing and process optimization Hybrid materials design and digital manufacturing processes Advising & Grants: He supervises PhD students in topics such as AI-aided DfAM, digital twin process planning, and bio-inspired composites. He leads projects like 'Smart In-Process Quality Inspection' and collaborates on waste management decision analysis. Labs & Teams: He directs the Intelligent Digital Manufacturing and Design (I-DMD) Lab , a cross-departmental team advancing AI and digital twin technologies in manufacturing. The lab focuses on sustainable, adaptive, and personalized manufacturing solutions.

Ajay Pandeyمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Molecular Electronics
• Materials Robotics
• +۷ مورد دیگر

Associate Professor Ajay Pandey holds an appointment at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He earned his PhD in Physics from the University of Angers, France, focusing on Molecular Semiconductor Heterojunctions. His career includes prestigious fellowships such as the QUT Vice Chancellor’s Senior Research Fellowship in Medical Robotics and an ARENA Research Fellowship in Next-Generation Photovoltaic Technology. Pandey leads research in Advanced Optoelectronics, Quantum Sensing, Medical Robotics, and Energy Up-Conversion. Research Interests: Pandey’s work spans Condensed Matter Physics, Molecular Electronics, Materials Robotics, and Neuroengineering. Recent projects include developing bio-inspired optoelectronic devices for applications in neuroscience, bionics, and robotic vision. He is a Program Leader at QUT's Centre for A Waste Free World and serves on the editorial board of Scientific Reports . Education: PhD in Physics (University of Angers) Awards: Bionics Innovation Award 2020, ARENA Fellowship, Vice Chancellor’s Fellowship Supervision: Has graduated 8 PhD and 2 M.Phil students, currently supervising 12 PhD candidates. Teaches Electronics in undergraduate engineering programs. Labs/Teams: Leads the Integrated Photonics and Quantum Sensing group. Collaborates with QUT's Centres for Materials Science and Biomedical Technologies. Research emphasizes interdisciplinary projects like robotic imaging systems for keyhole surgeries and energy-efficient photovoltaics.

• Control Theory
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Dr. Hamid Abdi is a Senior Lecturer in Engineering Management at the School of Engineering, Deakin University. He holds a PhD from Deakin University (2011) and has over 20 years of combined academic and industrial experience in control systems, robotics, and engineering education. His research focuses on control theory (time-delay systems, fault tolerance), robotics (dynamics, teleoperation), and industrial automation (SCADA, PLC systems). He has supervised 12+ doctoral/master students and led projects in energy systems, medical robotics, and IoT applications. Education: BEng/MEng (Control Engineering, Sharif University, 1998-2000), PhD (Deakin University, 2011). Professional affiliations include Senior Membership in IEEE and collaboration with Colorado State University. Research interests span AI on hardware systems, dynamical systems modelling, entrepreneurship in engineering, and optimisation. Recent projects include robotic ultrasound systems (HaptiScan), energy storage control software, and haptic teleoperation for medical diagnostics. His work has led to multiple awards, including the Alfred Deakin Best Thesis Medal (2013) and VC Staff Award (2015). Teaching areas: Process control, robotics, entrepreneurship, signal processing Grants: $542,594 in industry-funded research (e.g., Telstra, Energys Australia) Labs/Teams: Institute for Intelligent Systems Research and Innovation, Centre for Intelligent Systems Research