
Abhishek Kaushik
Assistant Professor
abhishek.kaushik@mahindrauniversity.edu.in
Dr. Abhishek Kaushik is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at École Centrale School of Engineering, Mahindra University. He worked on autonomous neuronavigation for robot-assisted neurosurgery and received his Ph.D. in Robotics from the Bhabha Atomic Research Centre (BARC), India. Following his doctoral studies, he pursued postdoctoral research at the University of Edinburgh, UK, focusing on autonomous navigation techniques for bronchoscopes.
His research interests include medical and surgical robotics, autonomous navigation, augmented and virtual reality (AR/VR), and computer vision. He is actively involved in developing intelligent robotic systems for healthcare applications, with a particular emphasis on enhancing precision, safety, and autonomy in minimally invasive procedures.
Education
- Ph.D.: Bhabha Atomic Research Centre/ Homi Bhabha National Institute, Mumbai – (Oct 2020)
- M.Tech.: Visvesvaraya National Institute of Technology, Nagpur – (June 2013)
- B.E: Maharana Pratap College of Technology, Gwalior – (June 2009)
Experience
- Assistant Professor, Department of Mechanical and Aerospace Engineering, Mahindra University, Hyderabad, India (Aug 2025 – Present)
- Assistant Professor, School of Computer Science and Engineering, Kerala University of Digital Science, Innovation and Technology, Thiruvananthapuram, India (Nov-2023 to July 2025)
- Post-Doctoral Research Associate: School of Informatics, University of Edinburgh, UK (Oct 2021 to Oct 2013)
- Post-Doctoral Research Associate: Advanced Centre for Treatment, Research and Education in Cancer, Mumbai, India (Nov 2020 to Sept 2021)
Publications
- R Harisankar, A Kaushik, SS Muni, Path planning for multi-quadrotor 3D boundary surveillance using non-autonomous discrete memristor hyperchaotic system, Franklin Open, (Elsevier). https://doi.org/10.1016/j.fraope.2025.100239
- Kaushik A, Dwarakanath TA, Bhutani G., Robust Marker Detection and High Precision Measurement for Real‐Time Anatomical Registration using Taguchi Method. International Journal of Medical Robotics and Computer Assisted Surgery. (Wiley). https://doi.org/10.1002/rcs.2102
- Kaushik A, Dwarakanath TA, Bhutani G, Moiyadi A., Chaudhari P, Validation of high precision robot-assisted methods for intracranial applications: Preliminary study. World Neurosurgery. (Elsevier) 2019. DOI: 1016/j.wneu.2020.01.206
- Kaushik A, Dwarakanath TA, Bhutani G, Dwarakanath S. Robot-based Autonomous Neuro-registration and Neuronavigation: Implementation and Case studies. World Neurosurgery. (Elsevier) 2019. DOI: 1016/j.wneu.2019.10.041
- Kaushik A, Dwarakanath TA, Bhutani G. Autonomous neuro-registration for robot-based neurosurgery.International Journal of Computer Assisted Radiology and Surgery. 2018. (Springer). DOI: 10.1007/s11548-018-1826-3
Broad areas of research: Autonomous Navigation, Robot-Assisted Surgery, Medical Robots, Visual SLAM, Computer Vision.
- Development of a method for autonomous patient-to-medical-image registration for neuronavigation.
- Development of a robust method for marker detection in uncertain and dynamic environments for robot-assisted surgery.
- Virtual reality-based robot-assisted surgery.
- Chaotic system-based intelligent algorithm for drone-based infrastructure surveillance.