Keerthana Gopalakrishnan

A strong foundation in virtual reality development using Unreal Engine and Blender has supported the application of immersive technologies to enhance user interaction and embodiment in neuroprosthetic systems. This work bridges VR and neurotechnology, focusing on how immersive environments can support cognitive engagement and rehabilitation. Proficiency in Python and expertise in implementing AI/ML/DL models enabled the development of innovative solutions for UAV systems at AIRL, Indian Institute of Science. Experience includes mentoring peers and contributing to collaborative efforts within dynamic, fast-paced environments. Passionate about advancing machine learning, virtual reality, and neuroprosthesis technology across interdisciplinary applications.

• Keerthana Gopalakrishnan, Gouri H, Jaysree Rajesh, MS Durgashree, T S Chandar, "Physics-Guided
  Neural Network and Physics-Informed Neural Network based autopilot design" (In advance review
  in IEEE Transactions on Artificial Intelligence)
• RudrashisMajumder, Keerthana Gopalakrishnan, Neon Srinivasu, Prasanna Ramamurthy,Adishesha
  CS, Suresh Sundaram, Narasimhan Sundararajan, "Virtual Traffic Island-Based Approach for Simultaneous
  Resolution in UAV Traffic Managaement" (Submitted to Journal of Aerospace Information
  Systems)
• Rudrashis Majumder, Keerthana Gopalakrishnan, Suresh Sundaram,"Collision-Free Skies: Physics informed
  Neural Network for Dynamic Deconfliction in UAV Traffic Management" (under preparation
  for submission to an IEEE conference)
• Sean Sylwester, Cyrus Shazifadeh, Keerthana Gopalakrishnan, Raffaele De Amicis and V John Mathews, "Integrating EEG, EMG, and EDA in AR Systems to Train Intuitive Prosthetic Hand Controllers with Reduced Cognitive Load" (under preparation for submission to an IEEE conference)