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Mr. D. Sathish

Assistant Professor
sathish.d@bvrit.ac.in

PG: CSE, JNTUH, 2025

UG: CSE, JNTUH, 2023

 

Teaching Experience:  09 months

Research Experience:  _

Industry Experience: _

 

Contact Number: 9666638886

BVRITN Employee ID: BVRIT01274

JNTUH Registration ID: 1930-251115-204336

  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems
  • Successfully completed the NASSCOM Faculty Development Program on Artificial Intelligence, Machine Learning, Data Science.
  • First Prize in the Research & Development (R&D) Showcase 2026 for Student Research/Poster Presentation as Project Supervisor at B V Raju Institute of Technology (Autonomous), Narsapur (07 March 2026).
  • Second Prize in the Research & Development (R&D) Showcase 2026 for Faculty Research/Poster Presentation as Co-Supervisor at B V Raju Institute of Technology (Autonomous), Narsapur (07 March 2026).
  1.  The paper, “AUTOMATED DRIVER ALERTNESS MONITORING SYSTEM USING EYE BLINK DETECTION“, authored by Devuni Sathish. has been published (In Press) 2025 of the journal Utilitas Mathematica. Indexed in the Scopus Database (Q4)
  2. LegalEase: An AI-Powered Conversational Assistant for Simplified Legal Information Access” Volume 1, Issue 1: January, 2026, International Journal of Recent Trends in Technology and Engineering (IJRTTE)
  1. RAG-Sentinel: A Hybrid Tiered Defense System Against Indirect Prompt Injection in Retrieval-Augmented Generation (RAG) – Presented at the 3rd International Conference on Computing and Machine Learning (CML 2026), organized by Sikkim Manipal University, Majitar, Sikkim, India, held during 07–08 March 2026. Published in the Springer Conference Proceedings.
  2. PII Guard: Real-Time Multimodal Privacy Protection for ScreenshotsAccepted for presentation at the 2026 IEEE International Conference on Contemporary Computing and Communications (InC4 2026) and publication in the IEEE Xplore Digital Library.
  1. Training Programme on AI, ML & Data Science Foundations (Module 1) – Successfully completed under the NASSCOM Faculty Development Programme, conducted from 10 June 2026 to 23 June 2026.
  2. Faculty Development Program (FDP) on Database Management Systems (DBMS) – Successfully completed through Infosys Springboard, 09–13 March 2026.
  3. RDBMS Certification – Successfully completed through Udemy.
  4. Faculty Development Program (FDP) on Angular Full Stack Development – Successfully completed through Infosys Springboard, 23–27 February 2026.