Dr. VENKATA PHANIKRISHNA B

Designation : Assistant Professor Senior Grade 1
School / Centre : School of Computer Science and Engineering
Department : IoT

Educational Details

National Institute of Technology (NIT) Rourkela

Doctor of Philosophy (Ph.D.)
Computer Science and Engineering
Graduated in 2021

Andhra University

Master of Technology (M-Tech)
Computer Science and Technology
Graduated in 2013

Jawaharlal Nehru Technological University Kakinada

Bachelor of Technology (B-Tech)
Information-Technology
Graduated in 2010

Aditya Jr. College Palakollu, Board of Intermediate Education AP

Intermediate
MPC (Maths Physics and Chemistry)
Graduated in 2006

Z.P High School Jinnuru, Board of Secondary Education AP

High School Certificate examination
All Subjects
Graduated in 2004

Post Doctoral Experiences

Research Details

Areas of Specialization
  • Bio-signal analysis (EEG)
  • Machine Learning
  • Data/Signal modelling
  • Nonlinear and nonstationary data analysis

: 0000-0003-3384-7841
: 57219230263
: AAC-5827-2021
: 5
: 5

Books / Book Chapters Published Details

Title Publisher Published Year
Analysis of EEG signal for drowsy detection: A machine learning approach. in Soft Computing in Interdisciplinary Sciences Springer 2022

Awards & Recognitions Details

  • In 2020, Recipient of second prize in SCEECS-2020 IEEE conference held at MANIT, Bhopal for the paper titled
  • In 2018, Adcom-2018 JAM AI design challenge championship winner (in Team) at IIIT Bangalore
  • Recipient of Ph.D. fellowship (2016-21), under Ministry of Human Resource Development (MHRD), Government of India
  • in 2010, A Prize winner in Impart-Technologies for Best Project (SILA-Based E-Brainstorming).
  • In 2009, Recipient of a Laptop in a Quiz competition (in Team) at KIET.

Other Information

Editorial Experience : Reviewer for: IEEE Instrumentation & Measurement Society; IEEE Transactions on Intelligent Transportation Systems
Personal Website Link : https://betativ.irins.org/profile/210201