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Dr. Shanta Rangaswamy,

Designation Professor
Qualification Ph.D
Experience Teaching: 24 years, Industry: 2 years
Area of Interest

Machine Learning, Image Processing, Data Mining, Autonomic Computing
Date of Joining RVCE 04/01/2006
Email

shantharangaswamy@rvce.edu.in

 

 

 

 

 

 

 

 

Project Guided:

Number of UG projects guided: 20

Number of PG projects guided: 25

Publications:

National Journals: 2

National Conferences: 6

International Journals: 39

International Conferences: 16

 

List of Publications: Journals/Conferences Click Here

 

Ongoing Projects:

  1. “Design, Development and implementation of Real/Near Real Time low SNR Target detection and Tracking System” RES-SAC-2022-012, ISRO RESPOND Project. Grant Amount: Rs.22,06,580/-. Duration:3 years

  2. “Development of Deep Learning based algorithms for SAR image semantic segmentation” under the scheme CARS for LRDE DRDO. Sanctioned amount: Rs.977040.00. Start date:9th March 2023.

  3. “Exploratory research on impact of Artificial Intelligence on the procurement in supply chain” under VTU research grant scheme 2021.Sanctioned amount: Rs.6 lakhs. Duration:2 years.

  4. OD199-AI, ML | “Multimodal, Multilingual Embedding for Toxic Content Detection”. Samsung Prism Phase 4. Start date:18th Jan 2023

  5. Design & Development of Auto Reed digiPICK -Paramount Instruments Ltd. Jan 2023.

 

Executed projects:

  1. “UX Framework| Google Play Instant Apps and Bundle Dynamic Delivery”, MO19RV during June 2021 to Jan 2022. Students and faculty team received certificates as ‘Certificate of Excellence’ and Rewards (Samsung Prism Phase III)

  1. “AI based partition prediction for Essential Video Codec”, VR35RV during to Jan to May 2022 (Samsung Prism Phase III)

  1. “End-to-end face landmark with MDM on ARMNN GPU” (Samsung Prism Phase 1) from March 2019-April 2020.Students and faculty team received certificates as ‘Certificate of Excellence’ and Rewards.

  1. “Tracking and collaboration of tasks for enabling the activities of complex programmes” for Centre for Airborne Systems, DRDO from April 2017-Aug 2019, under the CARS scheme. Three modules were: Project Management, Quality Management, Audit and Calibration. (Amount 9.2 lakhs)

  1. “Trend Analysis of CSC” for CISCO from September 2017 to October 2018.

  1. “Quotation Management System” for Karnataka Forest Department Corporation Ltd, Bengaluru during Oct 2015-Dec 2016. (Amount:1lakh)

  1. “Introduction to Machine Learning” , Handled classes for SAHAJ SOFT on during 14th -22th July 2017.

 

Initiatives taken/Interaction with the outside world:

  1. SPOC for SWAYAM NPTEL Local Chapter.LC Id:239

  2. Nodal Centre Coordinator for Virtual Labs, with the Participating Institute, National Institute of Technology Karnataka (NIT K) Surathkal.

  3. Actively involved in SWAYAM NPTEL Text Translation Project. Recognized as NPTEL QC. QC ID: QC0036. (details are also available on Translation status sheet on site April2020 - Google Drive). Completed QC for the following courses:

Course: Operating System Fundamentals (106105214), Hours reviewed: 26, Language: Hindi

Course: Employment Communication-A Lab based course (109105144). Hours reviewed: 16.25, Language: Hindi

Course: Introduction to Programming in C (106104128). Hours reviewed:7.4, Language: Hindi

Course: Artificial Intelligence: A search method for problem solving. (106106126),Hours reviewed:39.4 Language: Hindi

Software Engineering. Language: Hindi.

Course: Design Practice. Hours reviewed:18.75, Language: Kannada

English I (Basic English). Number of lectures:75, Language: Hindi

Introductory quantum mechanics (115104096), Hours reviewed: 23.75, Language: Hindi(March 2022)

 

Professional Memberships:

  1. IEEE Society Senior membership-94074815

  2. Computer Society of India-Life Membership-00134747

  3. Indian Society for Technical Education - Life Membership-LM71643

 

Book Chapter:

Handbook of Statistics, Computational Analysis and Understanding of Natural Languages-Principles, Methods and Applications. Copyright © 2018 Elsevier B.V., ISBN: 978-0-444-64042-0, ISSN: 0169-7161, https://www.elsevier.com/books-and-journals,Chapter 8 Machine Learning, pp 197- 227, published in April 2018

 

Awards

  1. Honoured by RSST for obtaining doctoral degree in the academic year 2013-14, during get-together function on 26th January 2015.

  1. Felicitated by ISTE-RVCE Chapter for obtaining doctoral degree in the academic year 2013-14, during Teacher’s day celebration on 27th September, 2014.

  1. Recipient of ‘Excellence in Education Award’ by R.V. College of Engineering during Republic day celebrations on 26th January 2009

 

Patents

Published a patent on 1st July 2016. Application No: E-2/3918/2014-CHE, Reference No: 3814/CHE/2014 C.B.R. No: 14282, Titled: Efficient classification of online course web pages to create its offline repository using Machine learning algorithms.

 

Notifications / CIrculars