Meysam Keshavarz is a Research Associate in the Department of Electrical and Electronic Engineering. He previously worked at the Hamlyn Centre for Medical Robotics at Imperial College London. Meysam is an accomplished researcher in the fields of Nano-Biomaterials and micro/nanofabrication, with expertise in studying nanomaterial interactions with cells at a cellular level. Currently, his research focuses on developing micro/nano-robots for targeted drug delivery to hard-to-reach organs. His research has involved synthesizing stimuli-responsive materials for microrobot fabrication using two-photon polymerization, developing biosensors for early-stage cancer diagnosis, and studying interactions between nanomaterials and cells.
Meysam holds a Master of Science degree in Materials Science and Engineering from the University of Technology in Malaysia, where he received the Gold Medal for Graduate Student Award for his outstanding academic achievements. He then went on to earn his PhD in Diagnostic and Therapeutic Applications of Nanomaterials from Ryerson University, where he received several awards such as the Doctoral Completion Award, International Student Scholarship, and Access to Opportunity Program Award. He was also nominated for the prestigious Governor General's Gold Medal.
His PhD research was focused on developing custom-made nanomaterials for therapeutic and diagnostic purposes. He created an inorganic nanomedicine for targeted treatment of cervical cancer and several diagnostic templates for early detection of cancer biomarkers. During his PhD studies, Meysam gained extensive knowledge and experience in biological experiments and assays, such as cell viability tests, cell cytotoxicity assays, and immunofluorescent imaging, while working at the Institute for Biomedical Engineering, Science, and Technology (iBEST), Michael’s Hospital, Toronto, Canada.
Imperial News. A potential new route to future nerve regeneration technologies.
Imperial News. A Novel Flexible Wrist-Worn Thermotherapy and Thermoregulation Device.
Imperial News. Examining Carbon-Based Elastomeric Composites for Printed Sensors & Electronics.
Italia1 tv channel. Featured on a prime Italian TV channel "The future of robotic surgery".
Imperial News. Labour Shadow Business Secretary and Shadow Science Minister visit Imperial
Public Engagement and Outreach Activities
 Volunteered at the Great Exhibition Road Festival, Imperial College London, London, UK
 Friends of Imperial visit, Imperial College London, London, UK
 Organizing and committee member of “Untethered micro and nano robotics for healthcare applications” workshop at the Hamlyn Symposium on Medical Robotics, London, UK.
 Organizing and committee member of “Micro/Nanorobots for Medicine” workshop at the Hamlyn Symposium on Medical Robotics, London, UK.
 Organizing and committee member of “Progress in soft robots for minimally invasive surgery” workshop at the Hamlyn Symposium on Medical Robotics, London, UK.
 Executive team at Hamlyn Symposium on Medical Robotics, Imperial College London, London, UK
 Executive team at GRAD Showcase, Ryerson university, Toronto, Canada
[Jun,2022] Exeter International Symposium on Small-Scale Robots (EIS2022)
[Feb,2019] Spinal Surgery Dept, Renji Hospital, Shanghai Jiao-Tong University School of Medicine (SJTU-SM), Shanghai, China
[Dec,2019] Guest lecturer: Biomedical Engineering, University of Wisconsin- Milwaukee, USA
et al., 2023, Characterization of bacteria swarming effect under plasmonic optical fiber illumination, Journal of Biomedical Optics, Vol:28, ISSN:1083-3668, Pages:1-15
et al., 2023, SERS detection of breast cancer-derived exosomes using a nanostructured Pt-black template, Advanced Sensor Research, Vol:4, ISSN:2751-1219, Pages:1-12
et al., 2022, MobileSkin: Classification of Skin Lesion Images Acquired Using Mobile Phone-Attached Hand-Held Dermoscopes, Journal of Clinical Medicine, Vol:11
et al., 2023, Quantifying hypoxia with diffuse reflectance spectroscopy for advanced prognostication and real-time response monitoring in rectal cancer: an in vivo feasibility study, Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXIII, SPIE, Pages:1-6, ISSN:1605-7422
et al., Machine Learning-Based Real-Time Localisation and Automatic Trapping of Multiple Microrobots in Optical Tweezer, International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS2022)