About

Rohit Rangwani is a highly motivated and accomplished graduate student at the University of California, Los Angeles (UCLA), with a strong background in electrical and computer engineering. Currently, he is a visiting graduate student at Cedars-Sinai, where he is working as a Graduate Researcher at Gulati Lab. Rohit's research interests are focused on bidirectional self-paced Brain-computer interfaces (BCI/BMI) and sensorimotor systems. He is also interested in machine learning, artificial intelligence, signal processing, biomedical imaging, and embedded systems. Rohit has extensive experience working on major and minor projects in his engineering career, covering areas like analog circuit design, digital system design, embedded firmware/software development, wearables, IoT, connectivity solutions, pattern recognition, machine learning, neural networks, and much more. He has worked as a Software Engineer at Canon Medical Research USA, Inc., where he was responsible for MRI Image reconstruction software. He has also worked as a GPU Software Intern at Samsung SARC | ACL, where he developed an independent library for converting internal GPU format memory buffers to human interpretable outputs. Rohit holds a Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering from NIT Warangal, a Master of Science (MS) in Electrical and Computer Engineering from Texas A&M University, and is currently pursuing a Doctor of Philosophy (PhD) in Neuroengineering from UCLA. He has a diverse tech stack, including research scientist, ML, software engineer, and neural networks. Rohit has 2.26 years of relevant experience in the industry and academia, and he is passionate about using his skills and knowledge to make a positive impact on society. He is a team player, a fast learner, and has excellent communication skills. Rohit is always looking for new challenges and opportunities to grow and develop his skills further.