Ramana Vinjamuri

University of Maryland, Baltimore County United States of America

Ramana Vinjamuri holds a Ph.D. in Electrical Engineering from the University of Pittsburgh, USA, specializing in dimensionality reduction in control and coordination of the human hand, which he received in 2008. He worked as a postdoctoral research associate in the field of Brain Machine Interfaces (BMI) to control prostheses in the School of Medicine, University of Pittsburgh, during 2008–2012. In 2010, he received the Mary E. Switzer Merit Fellowship from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR). From 2012 to 2013, he was a research assistant professor in neuroprosthetics at the Department of Biomedical Engineering, Johns Hopkins University, USA. Between 2013 and 2020, he served as an assistant professor in the Department of Biomedical Engineering at Stevens Institute of Technology, USA. In 2018, he was honored with the Harvey N. Davis Distinguished Teaching Award for his excellence in undergraduate and graduate teaching. In 2019, he was the recipient of the National Science Foundation (NSF) CAREER Award and in 2020, he received the NSF IUCRC Center Planning grant. He has also received research awards from NIDILRR, United States-India Science & Technology Endowment Fund (USISTEF), and New Jersey Health Foundation. Currently, he holds a secondary appointment as an adjunct assistant professor at the Indian Institute of Technology, Hyderabad, India. Dr. Vinjamuri is an assistant professor in the Department of Computer Science and Electrical Engineering at UMBC.

Ramana Vinjamuri

4books edited

4chapters authored

Latest work with IntechOpen by Ramana Vinjamuri

The book Human-Robot Interaction - Perspectives and Applications highlights the latest developments and obstacles in the field of human-machine interaction, including collaborative and humanoid robots, symbiosis between humans and robots, human-human collaboration, and robotics. Human-robot interaction has immense potential in areas like healthcare, education, manufacturing, military, and space exploration. This volume consists of several chapters that explore various topics such as the use of robotic wheelchairs, deep neural networks for robot grasp recognition, materials and sensors required for human-robot interaction, the use of drone technology in agriculture, healthcare robots in smart hospitals, and more.

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