Mrs. Rajeshwari R Shettigar

Mrs. Rajeshwari R Shettigar

Assistant Professor
Dept. of Computer Science & Engineering

Email
[email protected]
Teaching Experience
3 Years
Industry Experience
0 Years
Research Experience
0 Years
Educational Qualifications
COURSESSPECIALIZATIONINSTITUTIONUNIVERSITY
B ECSEVTUVTU
M.TechCSESrinivas institute of Technology valachil VTU
Past Experience/University Level Assignments/College Level Assignments
  • Assistant Professor at Srinivas Institute of Technology, Valachil from 21/08/2023 to 28/12/2024.
Departmental Responsibilities

No departmental responsibilities listed.

Professional Body Membership
  • IEI, IFERP
Subject Teaching / Handled
  • Computer Networking and Application
  • Cloud Computing and Application
Research

Areas of Interest

  • Deep Learning
  • Image Processing
  • Computer Network

Ph.D. SUPERVISION

No research supervision details available.

Current Research

  • Published a research paper titled “Efficient Deep Learning Models for Automated Diagnosis of Tuberculosis Using Chest X-Ray” in Springer Lecture Notes on Neural Networks and Systems (LNNS), Volume 1286, on 1st October 2025.

Awards

  • Secured 10th Rank in M.Tech. Computer Science and Engineering under Visvesvaraya Technological University (VTU), Belagavi
Funded Projects

No funded projects available.

Publications

No publication details available.

Patents

Indian

  • Successfully published a patent titled “Smart Glove Communication for Deaf and Mute Individuals” (Application No. 202641093100) on 07 August 2026.

International

No international patent details available.

FDPs / Workshops / Seminars

Attended

  • Participated in a one-week offline Faculty Development Programme (FDP) on High Performance Computing and Artificial Intelligence, conducted from 15th to 19th December 2025.
  • Successfully completed a one-week offline Faculty Development Programme on Java Programming, organized by Incture, held from 7th July to 12th July 2025, under the Industry–Academia Outreach Activity.
MOOC Certifications
  • Successfully completed a 12-week NPTEL Certification Course on “Machine Learning and Deep Learning – Fundamentals and Applications”, conducted during July–October 2025.
Other Details

No other details available.