Department of Computer Science & Engineering (AI & ML)
KITS Warangal
Faculty group mail-id : csm@kitsw.ac.in
Faculty Profile
Address/Contact
Office : Block - V. Room No. 203, Dept. of CSE
Phone: 0870-2564888 (ext:299)
Mobile: 9985842263
Education
B.Tech., Computer Science & Engg., Sri Venkateshwara Engineering College / JNTU, Hyderabad (2002).
M.Tech., Ramappa Engineering College / JNTU, Hyderabad, (2009).
Ph.D., Computer Science & Engg., Andhra University College Engg., Vishaskapatnam, A.P..(2016)
Dr. M.Sujatha
Assistant professor
Dept. of Computer Science & Engg. (AI & ML).
ACADEMIC AFFILIATION
Details |
From |
To |
Name of the Organization |
|---|---|---|---|
Assistant Professor |
August, 2022 |
Till date |
Kakatiya Institute of Technology & Science, Warangal |
Associate Professor |
December, 2017 |
August, 2022 |
Jyothismathi Institute of Technology & Sciences, Karimnagar |
Assistant Professor |
June, 2006 |
November, 2010 |
SR. Engineering College, Warangal |
Assistant Professor |
July, 2005 |
June, 2006 |
Jyothismathi Institute of Technology & Sciences, Karimnagar |
Assistant Professor |
August, 2002 |
July, 2005 |
Mother Theresa Engineering College |
RESEARCH INTERESTS
- Data Mining
- Machine Learning
- Data Science
- Artificial Intelligence
PUBLICATIONS
| Publications in Refereed Journals | |
|---|---|
S. No |
Details |
1 |
Sreenivas Pratapagiri, Sujatha Madugula et al., “ML based Implementation for Documents Forensic and Prediction of Forgery using Computer Vision Framework” International Conference on Artificial Intelligence and Smart Systems (ICAIS 2022), IEEE Xplore, February 23-25, 2022, PP. 283 |
2 |
S Venkatramulu, Dr. Sujatha Madugula et al., “Usage Patterns and Implementation of Machine Learning for Malware Detection and Predictive Evaluation”, International Conference on Artificial Intelligence and Smart Systems (ICAIS 2022), February 23-25, 2022, 248. |
3 |
V. Chandra Shekhar Rao, Dr. Sujatha Madugula, “COVID-19 Patterns Identification using Advanced Machine Learning and Deep Neural Network implementation”, International Conference on Artificial Intelligence and Smart Systems (ICAIS 2022), February 23-25, 2022, PP. 244 |
4 |
Dr. M. Sujatha, V.Sandeep “A Comparative Study Of Credit Card Fraud Detection Using Machine Learning For United Kingdom Dataset”, International Journal of Computer Science and Information Security (IJCSIS),Vol.17(9), September 2019, (Scopus). |
5 |
Dr. M.Sujatha, V.Sandeep, “Hand Writing recognition System using Neural Networks”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-1, November 2019, (Scopus). |
6 |
M. Sujatha, Dr. G. Lavanya Devi, N. Naresh, “A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques”, Chapter, Intelligent Decision Support Systems for Sustainable Computing, Paradigms and Applications, Springer, ISBN 978-3-319-53153-3, pp.263-285, 15 March 2017. |
7 |
M. Sujatha, Dr. G. Lavanya Devi, N. Naresh, K. Srinivas Rao, “An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data”, “Application of Computational Intelligence to Biology”, Springer Briefs in Applied Science, ISBN 978-981-10-0391-2, pp.19-27, 2015. |
8 |
M. Sujatha, Dr. G. Lavanya Devi, “Feature Selection Techniques using for High Dimensional Data in Machine Learning”, International Journal of Engineering Research & Technology, Vol. 2(9), pp. 2909-2916, ISSN 0974 –3154 September 2013. |
Publications in Refereed Conference Proceedings
S. No |
Details |
1 |
Bharati Panigrahi, Krishna Chaitanya Rao Kathala, Dr. M. Sujatha, “A Machine Learning-Based Comparative Approach to Predict the Crop Yield Using Supervised Learning With Regression Models” , International Conference on Machine Learning and Data Engineering, ELSEVIER, 2022. |
2 |
M. Sujatha, Dr. G. Lavanya Devi, K. Srinivas Rao, “Rough Set Theory based Missing Value Imputation”, International Conference on Cognitive Science and Health Bioinformatics, ISBN 978-981-10-6652-8, 2018. |
3 |
M. Sujatha, Dr. G. Lavanya Devi, Dr. G. Jaya Suma, “A Quick Overview of Operations and Applications in Rough Set Theory”, International Conference on Intelligent Systems, Control and Manufacturing Technology, UAE, pp. 14-19, March 2015 ISBN 978-93-84422-10-3. |
PROFESSIONAL AFFILIATION
S.No |
Details |
1 |
Member Indian Society for Technical Education (ISTE- LM 73075 |
2 |
The Institute of Research Engineers and Doctors – IRED AM101000583723 |
3 |
International Association of Engineers 213226 |
4 |
International Computer Science and Engineering Society-1780 |
5 |
The Society of Digital Information and Wireless Communications- 3836 |
COURSES TAUGHT
Undergraduate Level |
||||
|---|---|---|---|---|
Courses Taught |
Currently Teaching |
|||
Course |
Semester, Year, Branch |
Course |
Semester, Year, Branch |
|
Programming for Problem Solving |
I, 2022,CSE |
|||
Project Stage-II |
VIII, 2021,CSE |
|||
Theory of Computation |
V, 2021, CSE |
|||
Compiler Design |
VI, 2020, CSE |
|||
Machine Learning |
VI , 2019, CSE |
|||
Database Management Systems |
IV, 2019,CSE |
|||
Operating Systems |
IV,2018,CSE |
|||
Data Mining |
VII,2016,CSE |
|||
Web Technologies |
VI, 2014,CSE |
|||
Principles of Programming Languages |
IV, 2013,CSE |
|||
Postgraduate Level |
||||
Machine Learning |
II,2020, CSE |
|||
Advanced Algorithms |
I, 2017, CSE |
|
|
|
Data Science |
III, 2020,CSE |
|||
Project Phase -I |
III, 2021,CSE |
|||
Project Phase -II |
IV, 2021,CSE |
|||
FACULTY DEVELOPMENT PROGRAMMES ATTENDED
S. No. |
Programme |
Duration |
Organized by |
1 |
Machine learning Using R Program |
22nd -28th April 2022 |
AICTE-ISTE |
2 |
Artificial intelligence |
22nd- 26th May 2020 |
Chaitanya Bharathi Institute of Technology |
3 |
Latex R programming & Python |
25th- 30th May 2020 |
Guru Nanak Institute of Technology |
4 |
MOODLE Learning Management System |
1 Week, 27th April – 2nd May 2020 |
National Mission on Education through ICT |
5 |
SCILAB |
1 Week, 27th April – 2nd May 2020 |
National Mission on Education through ICT |
6 |
Machine Learning and Python |
1 Week, 14th -18nd March 2019 |
Web Tek Labs Pvt. Ltd. |
7 |
Machine Learning Applications in Software Engineering Schedule |
1 Week, 11th -16th June 2019 |
NIT-Warangal |
8 |
AI and Machine Learning |
1 week, 4th -8nd June 2018 |
NIT-Warangal |
9 |
Introduction to Web Development |
2 weeks, 13th -22nd |
NIT-Warangal |
10 |
Software
Engineering and Testing |
2 weeks, 5th -4th |
NIT-Warangal |
11 |
Bioinformatics Tools in Diabetics Research |
1week 19th-23th |
JNTU-Kakinada |
12 |
IBM DB2 |
16th-17th |
Andhra University |
PAPERS PRESENTED IN CONFERENCES/SEMINARS/ WORKSHOPS/SYMPOSIA
S. No. |
Title of the Paper presented |
Title of Conference/ Seminar etc. |
Organized by |
INVITED LECTURES IN CONFERENCE/SEMINAR
S. No. |
Title of Lecture/ Academic Session |
Title of Conference/ Seminar etc. |
Organized by |
AWARDS
S.No |
Details |
1 |
GMRAF Young Faculty Excellence Award 2020, from Global Multidisciplinary Research & Academic Foundation. |
2 |
Stood First in Academics in M.Tech Course 2008–2009. |
OTHER INFORMATION
S.No |
Details |
1 |
UGC-NET qualified 2012, |
2 |
One week Refresher /Induction programme on Machine learning using R Program 2021, sponsored by AICTE-ISTE Rs. 3,00000/- |
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