Revathi S
Assistant Professor,
Department of Artificial Intelligence and Machine Learning
CMRIT, Bangalore
revathi.s@cmrit.ac.in
Assistant Professor,
Department of Artificial Intelligence and Machine Learning
CMRIT, Bangalore
revathi.s@cmrit.ac.in
Profile
I am a Ph.D. Scholar in Computer Science and Engineering at Visvesvaraya Technological University, with a focus on Deep Learning, Machine Learning, Image Processing, and Natural Language Processing. I completed my M.Tech and B.E. In Computer Science and Engineering from R.V. College of Engineering and Dr. T. Thimmaiah Institute of Technology, respectively, both with First Class with Distinction. My academic work is centered on exploring advanced computing technologies and their practical applications in real-world scenarios.
Experience
Teaching: 11 Years
Research: 2 Years
Areas of Interest in Teaching
Python Programming
C Programming
Data Structures
Web Programming
Natural Language Processing
Design and Analysis of Algorithms
Areas of Interest in Research
Deep Learning
Machine Learning
Image Processing
Publications
International Journals
Published paper on “ Survey on Different Implementation Categories of Process Migration and Different Process Migration Algorithms”, IJSETR, Volume 05, Issue 4, June-2016
Published paper on “Performance Analysis and Comparative Study of Process Migration Using Genetic Algorithm”, IJSETR, Volume 5, Issue 11, Nov-2016
Published paper on “Survey on Different File Handling Mechanisms in HDFS”, IRJET, Volume 4, Issue 6, June 2017
A survey on “Different Techniques for Black Money Deduction”, IJEECS, IRD, India, ISSN: 2347-2820, Volume -6, Issue-1_2, 2018
Published paper on “Machine Learning Algorithm for Smart Energy Management, ARIMA-Model”, IJEECS, ISSN: 2347-2820, Volume -6, Issue-1_2, 2018
Published paper on “Optimization of Load Balancing In Cloud Using swarm Intelligence: A Survey”, IJCESR, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, Volume-6, Issue-6, 2019
International Conference
Presented Paper on “Sound Mind: Detecting Depression And Anxiety in Humans”, 4th International Conference on Inventive Computation and Information Technologies (ICICIT), 25th Aug - 2022.
Presented paper on “Multimodal personality prediction using deep learning techniques”. 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), IEEE, 2-4 Nov. 2023.
Presented paper on "IoT Based Attendance Monitoring System Using Facial Recognition," Second International Conf. on Advances in Information Technology (ICAIT-2024), Bengaluru, India, 2024.
Book Chapter
Published paper on “Sound Mind: Detecting Depression And Anxiety in Humans”, Springer Book series Lecture Notes in Networks and Systems, ICICIT – 2022, ISSN (Print):2367-3370
MOOC COURSE CERTIFICATION-NPTEL
Received Elite Certificate on “Python for Data Science”, Four Week, Sep-Oct, 2020, IIT-Madras.
Received Elite Certificate on “Machine Learning”, Eight Week, Feb-Apr, 2021, IIT-Madras.
Received Elite Certificate on “Problem Solving Through Programming in C”, Twelve Week, Jan-Apr, 2022, IIT-Madras.
Received Mentor certificate for “Business Analytics and Data Mining Modeling Using R, at NHCE, Bangalore, Jan-Apr, 2022
Received NPTEL Elite Certificate on “Deep Learning”, 12 Weeks, Jul-Oct, 2023, IIT-Madras.
MEMBERSHIP IN ENGINEERING BODIES
1. Member, Institution of Engineers(India)
COURSE METRIALS
https://drive.google.com/drive/folders/1hu3KO6LLmWN3yBtQgW6933cVcZkhh3g-?usp=sharing
EVEN Sem 2024-25 - Machine Learning Materials
https://drive.google.com/drive/folders/1UKewHJ3OF0-vMvqRnSzJy7QhNrhy6w6w?usp=drive_link
Deep Learning and Reinforcement Learning
https://drive.google.com/drive/folders/1vjSDtf2EroDwG8bMmixNP4dmoU5qxQK2?usp=drive_link