Prof. Raghunath Reddy
AreaofSpecialization – Artificial Intelligence, Data Science, Machine Learning
ProfessionalMemberships – ISTE
Responsibilities held at Institution Level – NBA C7, NAAC C3
Responsibilities held at Department Level – M. Tech Coordinator
Research Guidance –
Awards Received:
Subjects Handled at Under Graduate Level–
Data Mining and Warehousing, Design and Analysis of Algorithm, Data Structures using C++, Formal language automata theory, Mathematical foundations of computer science, Scripting Languages
Subjects Handled at Post Graduate Level–
Machine Learning, Advanced Data Structures, Advanced Algorithms
Research Projects carried out:
Consultancy Work carried out: Implementation of Non-Intrusive Load Monitoring, consultancy project at Blaze Automation, Hyderabad
Patents Filed (Title,Application Number,Date of Publication):
Extracting information from medical documents,13224223,2013/3/7
Invited Speaker/Resource:
No. of Books/Chapters Published Details:
Details of STTP’s/FDP’s/Workshops/Seminars (Attended & Organized):
STTPS Attended -5
FDPs Attended – 8
Workshops Attended -10
Seminars Attended -12
Details of Papers Published:
Journal Publications
1. Reddy, Raghunath, Vishal Garg, and Vikram Pudi. “A feature fusion technique for improved non-intrusive load monitoring.” Energy Informatics 3, no. 1 (2020): 1-15.
No of Conference Publications:7