We are looking for qualified research assistants, research associates or research fellows who have strong interests of applying engineering approaches to medicine. Specifically, our group is focusing on Computer Integrated Interventional Systems (CIIS), Surgical Navigation and Planning systems, Robotic and Sensing in Medicine, and Biomedical Mechatronics. Interested applicants with strong background in Computer Engineering or Mechatronics please send application to ren(at)nus.edu.sg with a copy of C.V., related publications or related project samples.
We are seeking highly motivated researchers to perform research on robotics in surgery and productivity available immediately. The openings are for several sub-projects related to cognitive robotics, visual servoing, mechatronics and target tracking. Priority will be given to those who want to further pursue PhD degree in NUS. One can enroll as a part-time PhD student with the same PhD graduation requirements as a normal PhD student.
– Experience in one or more of the following fields: Mechatronics, Computer Vision, Visual Servoing, Seam Tracking, Cognitive Robotics (in productivity or surgery), or equivalent.
– PhD degree for Postdoc Fellow position.
– Bachelor/master degree for Research Assistant/Associate position and only for applicants who are willing to pursue PhD degree at NUS (please include transcripts & GPA scores).
– Strong problem-solving, writing, programming, interpersonal, and analytical skills.
[HOW TO APPLY]
Remunerations will be commensurate with qualifications and experience. Qualified candidates are invited to express their interests through an email with detailed supporting documents (including CV, objective, education background, experiences, transcripts, representative publications, and skills) to:
Prof. Hongliang REN at email firstname.lastname@example.org
- Computer-Assisted Surgery
- Flexible Robotics and navigation in Surgery
- Artificial Intelligence in Robotic Surgery
Date: Dec 11, 2019, EA
Speakers and Topics
1600 – 1615 Robotic Intervention Utilizing Bioengineering Based Therapeutic Methods
Ichiro Sakuma University of Tokyo
1615 – 1630 Augmented Reality for Orthopeadic Surgery
Jaesung Hong Daegu Gyeongbuk Institute of Science and Technology
1630 – 1645
Medical Robot Link Architecture Connected to Smart Cyber Operating Theater (SCOT)
Ken Masamune Tokyo Women’s Medical University
1645 – 1700
Transluminal Robotics with Delicate Continuum and Context Awareness
Hongliang Ren National University of Singapore
1700 – 1715
Robot-Assisted Interventions under Intra-Operative MRI-Based Guidance
Ka-Wai Kwok University of Hong Kong
1715 – 1730
Biomimetic Wrinkled MXene Pressure Sensors towards Collision-Aware Robots
Catherine Cai National University of Singapore
SAKUMA, Ichiro, University of Tokyo
- Robotic Intervention Utilizing Bioengineering Based Therapeutic Methods
Ichiro Sakuma received B.S., M.S., and Ph.D. degrees in precision machinery engineering from the University of Tokyo, Tokyo, Japan, in 1982, 1984, and 1989, respectively. He was Research Associate (1987), Associate Professor (1991) at the Department of Applied Electronic Engineering, Tokyo Denki University, Saitama, Japan. He was research instructor at Department of Surgery, Baylor College of Medicine, Houston, Texas from 1990 to 1991. He was Associate Professor at Department of Precision Engineering (1998), Associate Professor (1999) and Professor (2001), Graduate School of Frontier Sciences, the University of Tokyo. He is currently a Professor at Department of Bioengineering, Department of Precision Engineering, Director of Medical Device Development and Regulation Research Center, and Vice dean, School of Engineering, the University of Tokyo. He is the immediate past president of Japanese Society for Medical and Biological Engineering (JSMBE) (2014-2016). He is also Deputy Director for Medical Devices, Center for Product Evaluation, Pharmaceuticals and Medical Devices Agency (PMDA)His research interests includes 1) Computer Aided Surgery, 2) Medical Robotics and medical devise for minimally invasive therapy, 3) Analysis of cardiac arrhythmia phenomena and control of arrhythmia, and 4) Regulatory sciences for medical device development.He received various academic awards including, The Japan Society of Computer Aided Surgery, Best Paper Award (2006), Robotic Society of Japan, Best Paper Award (2010, 2015). In 2014, his group’s research was selected in 2014 as one of the most exciting peer-reviewed optics research to have emerged over the past 12 months by Photonics and Optics News (OSA)
Ken Masamune, Tokyo Women’s Medical University
- Medical Robot Link Architecture Connected to Smart Cyber Operating Theater (SCOT)
Nowadays, several medical devices/systems including imaging machine, anesthesia, navigation system, biomonitoring devices, surgical bed, medical robots, et al., are installed in the operation room, however, it is unpleasant situation that all devices are performed in stand-alone mode, without time-synchronization, and it is difficult to combine/analyze some set of information from devices to make surgeon’s decision during surgery. To improve this situation, we’ve been developing an integrated operating room named “Smart Cyber Operating Theater (SCOT) with middleware ORiN system. In this presentation, we introduce a current SCOT project and the design concept of new open platform architecture for the integration of master/slave robotic devices and information guided robot especially for oral and maxillofacial surgery. This design will accelerate the development of any types of robotic interfaces/end effectors with fast validation.
Ken Masamune received the Ph.D. degree in precision machinery engineering from the University of Tokyo, Japan, in 1999. From 1995 to 1999, he was a Research Associate in the Department of Precision Machinery Engineering, the University of Tokyo. From 2000 to 2004, he was an Assistant Professor in the Department of Biotechnology, Tokyo Denki University, Tokyo. Since 2005, he has been an Associate Professor in the Department of Mechanoinformatics, Graduate School of Information Science and Technology, the University of Tokyo. His current research interests include computer-aided surgery, especially medical robotics and visualization devices and systems for surgery.
Jaesung Hong, Daegu Gyeongbuk Institute of Science and Technology
- AUGMENTED REALITY FOR SURGICAL NAVIGATION
In these days, augmented reality (AR) has become a key technology for surgical navigation. Using the AR technology, the shape of invisible organs are overlapped to the visible endoscopic or microscopic images. Therefore the surgeon can avoid damaging the healthy tissue, and reduce the incision area. In the AR-based surgery, optical tracker and camera are generally used. Optical tracker can measure the position and pose of multiple markers, and the relationship between the camera and target organs of patient can be measured in real-time by tracking of the markers which are mounted on the camera body and the patient. In the AR display, finding the relationship between the optical marker mounted on the camera body and the center of camera (camera registration) is particulary important. This relationship strongly affects the overall accuracy of AR display. In this talk, the latest AR technologies applied for the surgical navigation are introduced.
Jaesung Hong is an associate professor and the Department Chair of Robotics Engineering at the Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea. His research area is medical imaging and medical robotics for minimally invasive surgery.
At the University of Tokyo, he has developed the world first US-guided needle insertion robot tracking a movable and deformable organ. This was reported in Physics in Medicine and Biololgy in 2004, and has been frequently cited (> 160). While he worked at Kyushu University Hospital in Japan, he developed various customized surgical navigation systems, which were clinically applied in approximately 120 surgeries. These included percutaneous ablation therapies for liver tumors, cochlear implant surgeries, neurosurgeries for gliomas, and dental implant surgeries.
After moving to DGIST which is a research-oriented special university supported by Korean government, he developed a single port surgery robot and its master device for high force transimisson and large workspace as well as a portable, AR-based surgical navigation system, which has been tested in tibia tumor resections and orthognathic surgeries in collaboration with major Korean hospitals, including the Seoul National University Hospital of Bundang, Samsung Seoul Hospital, etc. He is one of a small number of specialists who is familiar with both engineering and clinical medicine.
Until 2016, Prof. Hong has published approximately 42 journal papers including 30 SCI/SCIE papers with impact factors. Six of them are top 10% ranked journal papers. He also submitted or registered 15 domestic and 7 international patents. He has received 9 best paper/presentation awards, in addition to obtaining 10 research funds amounting to approximately 4.5M USD (including planned budgets).
Ka-Wai Kwok, University of Hong Kong
- Robot-Assisted Interventions under Intra-Operative MRI-Based Guidance
Advanced surgical robotics has attracted significant research interest in supporting image guidance, even magnetic resonance imaging (MRI) for effective navigation of surgical instruments. In situ effective guidance of access routes to the target anatomy, rendered based on imaging data, can enable a distinct awareness of the position of robotic instrument tip relative to the target anatomy in various types of minimally invasive interventions. Therefore, such MRI-guided robots will rely on real-time processing the co-registration of surgical plan with the imaging data captured during the intervention, as well as computing the relative configuration between the instrument and the anatomy of surgical interest.
This talk will present a compact robotic system capable to operate inside the bore of MRI scanner, as well as its solutions to technical challenges of providing a safe, effective catheter-based surgical manipulation. The proposed image processing system demonstrates its clinical potential of enhanced surgical safety by imposing visual feedback on tele-operated robotic instruments even under large-scale and rapid tissue deformations in soft tissue surgeries, such as cardiac electrophysiology and stereotactic neurosurgery. The ultimate research objective is to enable the operator to perform safe, precise and effective control of robotics instruments with the aid of pre- and intra-operative MRI models. The present work will be timely to bridge the current technical gap between MRI and surgical robotic control.
Dr. Ka-Wai Kwok is currently assistant professor in Department of Mechanical Engineering, The University of Hong Kong, who completed his PhD training in The Hamlyn Centre for Robotic Surgery, Imperial College London in 2011, where he continued research on surgical robotics as a postdoctoral fellow. After then, Dr. Kwok obtained the Croucher Foundation Fellowship 2013-14, which supported his research jointly hosted by The University of Georgia, and Brigham and Women’s Hospital – Harvard Medical School. His research interests focus on surgical robotics, intra-operative medical image processing, and their uses of high-performance computing techniques. To date, he has been involved in various designs of surgical robotic devices and interfaces for endoscopy, laparoscopy, stereotactic and intra-cardiac catheter interventions. His work has also been recognized by several awards from IEEE international conferences, including ICRA’14, IROS’13 and FCCM’11. He also became the recipient of Early Career Awards 2015/16 offered by Research Grants Council (RGC) of Hong Kong.
Hongliang Ren, National University of Singapore, Singapore
- Transluminal Robotics with Delicate Continuum and Context Awareness
Dr. Hongliang Ren is currently an assistant professor and leading a research group on medical mechatronics in the Biomedical Engineering Department of National University of Singapore (NUS). He is an affiliated Principal Investigator for the Singapore Institute of Neurotechnology (SINAPSE) and Advanced Robotics Center at National University of Singapore. Dr. Ren received his PhD in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008. After his graduation, he worked as a Research Fellow in the Laboratory for Computational Sensing and Robotics (LCSR) and the Engineering Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST), Department of Biomedical Engineering and Department of Computer Science, The Johns Hopkins University, Baltimore, MD, USA, from 2008 to 2010. In 2010, he joined the Pediatric Cardiac Biorobotics Lab, Department of Cardiovascular Surgery, Children’s Hospital Boston & Harvard Medical School, USA, for investigating the beating heart robotic surgery system. Prior to joining NUS, he also worked in 2012 on a collaborative computer integrated surgery project, at the Surgical Innovation Institute of Children’s National Medical Center, USA. His main areas of interest include Biomedical Mechatronics, Computer-Integrated Surgery, and Dynamic Positioning in Medicine.
Catherine Cai, National University of Singapore, Singapore
- Biomimetic Wrinkled MXene Pressure Sensors towards Collision-Aware Robots
The use of surgical robots in the field of minimally invasive neurosurgical procedures can offer several benefits and advantages. However, the lack of force sensing hinders and limits their use in such procedures. Equipping surgical robots with pressure sensors can enhance robot-environment interaction by enabling collision awareness and enhance human-robot interactions by providing surgeons the necessary force feedback for safe tissue manipulation. With the emergence of soft robotics in biomedical applications, the attached pressure sensors are required to be flexible and stretchable in order to comply with the mechanically dynamic robotic movements and deformations. Inspired by the multi-dimensional wrinkles of Shar-Pei dog’s skin, we have fabricated a flexible and stretchable piezoresistive pressure sensor consisting of MXene electrodes with biomimetic topographies. This pressure sensor is found to be more sensitive in low-pressure regimes (0.934 kPa-1, <236 Pa), and less sensitive in the higher pressure regimes (0.188 kPa-1, <2070 Pa).
A seminar on ‘Skin-Interfaced Wearable Biosensors for Personalized Healthcare’ was given by Prof. Wei Gao of Caltech.
Abstract: The rising research interest in personalized medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this talk, I will introduce our recent advances in developing fully-integrated skin-interfaced flexible biosensors for non-invasive molecular analysis. Such wearable biosensors can continuously, selectively, and accurately measure a wide spectrum of sweat analytes including metabolites, electrolytes, hormones, drugs, and other small molecules. These devices also allow us to gain real-time insight into the sweat secretion and gland physiology. The clinical value of our wearable sensing platforms is evaluated through multiple human studies involving both healthy and patient populations toward physiological monitoring, disease diagnosis, and drug monitoring. These wearable and flexible devices could open the door to a wide range of personalized monitoring, diagnostic, and therapeutic applications.
Biography: Wei Gao is an Assistant Professor of Medical Engineering in Division of Engineering and Applied Science at the California Institute of Technology. He received his Ph.D. in Chemical Engineering at University of California, San Diego in 2014 as a Jacobs Fellow and HHMI International Student Research Fellow. In 2014-2017, he was a postdoctoral fellow in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a recipient of IEEE Sensor Council Technical Achievement Award, Sensors Young Investigator Award, MIT Technology Review 35 Innovators Under 35 (TR35) and ACS Young Investigator Award (Division of Inorganic Chemistry). His research interests include wearable devices, biosensors, flexible electronics, micro/nanorobotics and nanomedicine. For more information about Gao’s research, visit www.gao.caltech.edu/.
Our team’s Skullbot and ACTORS robots were showcased for NUS Engineering Industry Day 2019 in conjunction with ICBME 2019.
Our Team projects RNOTES and Deep Needle were shortlisted for EMedic Global 2019
Our Team projects Skullbot won the best structure award for 2019 Global Innovation Design Competition of Medical Robotics together with 50000RMB project fund.
Our paper entitled “Biomimetic Stretchable Sensor Resembling Shar-Pei Crumples with 2D Materials towards Collaborative Robotic Minimally Invasive Procedures” (by Parita Sanghani, Catherine Jiayi Cai, Ting-Hsiang Chang, Benjamin Delecourt, Chwee Ming Lim, Po-Yen Chen, Hongliang Ren) was awarded for the Best Paper in Biomimetics at The IEEE Robio 2019 (The 2019 IEEE International Conference on Robotics and Biomimetics, Dali, Yunnan, 6-8 December 2019). IEEE ROBIO 2019 conference committee accepted 403 papers from over 739 paper submissions for oral presentations at the conference.
Dr. Ren delivered a plenary talk at ROBIO’19, the 2019 International Conference on Robotics and Biomimetics, on the topic of “Proprioceptive Transluminal Robotics in Connection with Monkey King”.
A seminar on Medical Robot Systems for Laparoscopic, Endoscopic, Microscopic Surgeries was given by Prof. Dong-Soo Kwon from the Korea Institute of Science and Technology (KAIST).
Dr. Ren delivered a plenary talk at BDML’19, the 2019 International Conference on Big Data and Machine Learning, on the topic of Representation Learning in Multimodal Spatiotemporal Image-Guided Procedures, at Chengdu, China.
Dr. Ren was invited to talk at IEEE IROS Workshop on Intelligent Robot Interaction with the Anatomy at Macau.