Dr. Venkata Phanikrishna B

Venkata Phanikrishna Balam received his doctorate in computer science and engineering from the National Institute of Technology Rourkela, India, in 2021. His master's degree (M.Tech.) was completed in Computer Science and Technology from Andhra University, Visakhapatnam, India, in 2013. He completed his graduation (B.Tech.) degree in Information Technology from Jawaharlal Nehru Technological University-Kakinada (JNTUK) at Kakinada, India, in 2010. At present, Venkata Phanikrishna is working as an Assistant Professor in School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore, India. Further, his research interests including bio-signal processing, pattern recognition, computer vision, the Internet of Things, and machine learning.

Dr. Venkata Phanikrishna B has made significant contributions to the field, particularly in Drowsiness Detection using machine learning and Machine Learning, as explored in his Ph.D. thesis titled "Study Of Single Channel EEG Signal Analysis for Drowsiness Detection Using Machine Learning"

In his professional career, he has held roles such as Senior Assistant Professor at VIT Vellore and Research Scholar at NIT Rourkela. His notable project involvement includes the Automatic Classification Methods for Detecting Drowsiness using Wavelet Packet Transform extracted time-domain features from Single-channel EEG Signal.

His prolific research is evident in numerous publications, including journal articles, book chapters, and conference papers. Notably, he holds a patent for "A Mobile-Based Cardiac Health Monitoring System Using Deep Residual Network." His research spans diverse topics, such as drowsiness detection, algorithms, multi-class epileptic seizure recognition in EEG signals, and the application of deep learning techniques in various medical and nonmedical contexts.

Dr. Venkata's expertise extends to being a regular reviewer for prestigious journals like IEEE Transactions on Intelligent Transport Systems, and IEEE Transactions on Instrumentation and Measurement. With proficiency in Python, LaTeX, OpenOffice, Linux, and Microsoft Windows, and communication skills demonstrated through oral presentations and expert talks, Dr. Venkata Phanikrishna is a dynamic researcher making significant contributions to the field of Artificial Intelligence and its applications in healthcare.