Dr. M. Srinivas

Assistant Professor

Department of Computer Science And Engineering

National Institute of Technology, Warangal - 506004, Telangana, INDIA

: msv@nitw.ac.in

: 8897064421

Interests: Machine Learning; Image Processing; Medical Imaging; Computer Vision; Deep Learning ; and Sparse Representation

 

I am an Assistant Professor in the department of Computer Science and Engineering, NIT Warangal. Previously, I was a post-doctoral researcher at the Department of Computer Science,  ETS, Canada in 2017-2018, at the Institute of Information Science (IIS), Academia Sinica, Taiwan in 2015-2017 and at the Indian Institute of Technology Hyderabad in 2015. I completed my Ph.D  at  the Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad  (IITH) in 2014.

 

 

 

 

 

 

 

 

Course Taught Previously

(CS6375)  Machine Learning

(CS 235)  Data Structures

(CS5303) Problem Solving & Programming 

(CS101) Problem Solving and Computer Programming

(CS252) Design and Analysis of Algorithms

Publications

BookChapters

1. M. Srinivas, and R. Ramu Naidu,  Sparse approximation of overdetermined systems for content based image retrieval,"  Mathematical Analysis and its Applications, Springer, IIT Roorkee, India, 2014.

2. Dr. M Srinivas, Murkeshan A P, Akshay Nayak, and Sanjeev Saurav, “Multi Features Based Facial Expression Recognition”, Accepted in Machine Learning Algorithms and Applications book chapter, Wiley Press and SCOPUS indexing, 2021.

 

Book Editor

1.  Anjanna Matta, G. Sucharitha, Mettu Srinivas,  Machine Learning Algorithms and Applications, Wiley Press, 2021.

 
  
 

 

Journals

1. Debaditya Roy, M. Srinivas and C. Krishna Mohan,  Sparsity-inducing dictionaries for effective action classification, Pattern Recognition, Elsevier Journal. 2016.03.011. (Impact factor 7.1 )

2. M. Srinivas, Tony Basil, and C. Krishna Mohan. "Adaptive learning based heartbeat classification," Bio-medical materials and engineering, Vol 26.(1-2), pp. 49-55, Oct 2015. (2015 impact factor 1.091)

3. M. Srinivas, R. Ramu Naidu, C.S. Sastry and C. Krishna Mohan, "Content Based Medical Image Retrieval Using Dictionary Learning,"  Neurocomputing Elsevier Journal, Vol. 168, pp. 880-895, 2015.                          (Impact factor 4.4 )

4.  Milind Yadav, Murkeshan A P, M Srinivas, “Analysis on Novel Coronavirus (COVID-19) Using Machine Learning Methods,” Accepted in Chaos, Solitons and Fractals: The Interdisciplinary Journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, Elsevier Journal, 2020. (Impact factor 3.072)

5. Ramu Naidu, C.S. Sastry and M. Srinivas, “Ternary matrices compliant with Restricted Isometry Property: Construction and Application to Image Retrieval”, Accepted in Journal of Combinatorics, Information & System Science, 2020.

 

Conferences

 1. M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao, "Deep Features and Sparse Representation Based Fine-Grained Image Classification" , Proc.  IEEE International Conference on Multimedia & Expo (ICME 2017), Hongkong.

2.  M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao, "Deep Dictionary Learning for Fine-Grained Image Classification", Proc.  IEEE International Conference on  Image Processing (ICIP 2017), Bijing, China.

3. M. Srinivas, Debaditya Roy and C. Krishna Mohan,  "Discriminative Feature Extraction of X-ray Images using Deep Neural Networks," Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai , China, Mar 2016.

4.  M. Srinivas and C. Krishna Mohan, "Classification of Medical Images Using Edge Based Features and Sparse Representation," Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai , China, Mar 2016.

5.  M. Srinivas and C. Krishna Mohan, "Multi-level classification : A generic classification method for medical data sets," Proc. 17th IEEE International Conference on E-health Networking, Application & Services (Healthcom 2015), Boston, USA, 14-17 Oct 2015.

6. M. Srinivas, Ramkrishna Bharath, Pachamuthu Rajalakshmi and C. Krishna Mohan, "Sparseland Model for Speckle Suppression of B-mode Ultrasound Images," Proc. IEEE National Conference on Communication (NCC-2015) IIT Bombay, India.

7. Debaditya Roy, M. Srinivas and C. Krishna Mohan, "Human Action Recognition based on Sparse representation using on-line dictionary learning," Proc. IEEE  International Conference on Perception and Machine Intelligence , Kolkata, India, Feb. 2015.

8. R. Ramu Naidu, M. Srinivas and C.S. Sastry, "Ternary Sensing Matrices For Identifying Sparse Patterns In Data: Construction and Application to Image Retrieval," Proc.  International Conference on Applications of Fractals and Wavelets, India 2015.

9. Shyju Wilson, M. Srinivas and C. Krishna Mohan, "Dictionary based action video classification with action bank," Proc. 19th IEEE  International Conference on Digital Signal Processing (DSP 2014), Hong Kong, Aug. 2014.

10.  M. Srinivas and C. Krishna Mohan, "Medical Images Modality Classification using Multi-scale Dictionary Learning," Proc.  19th IEEE  International Conference on Digital Signal Processing (DSP 2014), Hong Kong, Aug. 2014.

11.  M. Srinivas, Debaditya Roy and C. Krishna Mohan, "Music Genre Classification using On-line Dictionary Learning," Proc. IEEE International Joint Conference on Neural Networks (IJCNN 2014),  Beijing, China.

12.  M. Srinivas, Debaditya Roy, and C. Krishna Mohan, "Learning Sparse Dictionaries for Music and Speech Classification," Proc. 19th IEEE  International Conference on Digital Signal Processing (DSP 2014), Hong Kong, Aug. 2014.

13.  M. Srinivas and C. Krishna Mohan, "Medical Image Indexing and Retrieval Using Multiple Features," Proc. International Conference on Computational Intelligence and Information Technology (CIIT 2013, Elsevier), Mumbai, October 2013.

14. M. Srinivas and Dr C. KrishnaMohan, "Efficient Clustering Approach using Incremental and Hierarchical Clustering Methods", Proc  IEEE International Joint Conference on Neural Networks (IJCNN 2014),  Barcelona, Spain.

15.  M. Srinivas , K.P.Supreethi and Dr. E.V.Prasad ,"Efficient Text Classification using Best Feature Selection and Combination Methods", Springer HIPC International Conference , (HCI 2009). USA.

16. Muddu Krishnama Naidu Immadisetti and M Srinivas, Automatic allocation of secure slice in future mobile networks using ML, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2021), IIT Kharagpur, July 2021.

 

Others

1. M. Srinivas, Akshay Nayak, and Abhishek Bhatt, “Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques”, CLEF 2019.  

PHDs Supervised

  PhD (Ongoing) 

1. Murukessan A. P (Aug 2020)

Research Area : Machine Learning, Deep Learning and Medical Image Analysis

2. Sheelam Tharun Reddy (Jan 2021)

Research Area : Machine Learning and  Deep Learning 

3. Shaik Akbar (Aug 2021)

Research Area : Machine Learning and  Deep Learning 

 

PhD (Completed) 

 

M. Tech (Ongoing)

 

M. Tech/MCA (Completed)

1. Multi Features Based Facial Expression Recognition (Sanjeev Saurav - 177508,  June 2019) M. Tech.

2. File Forgery Detection Using Deep Learning Techniques (Abhishek Bhatt - 167902,  June 2019).

3. Moment Retrieval and Summarization Using Deep Learning Method (Vikash Kumar Singh -  167946, June 2019).

4.  Multi-Class Artefact Detection in Video Endoscopy (Priya Singh -187510, July 2020) M.Tech.

5.  Movement Classification using EEG Signals (Macherla Karthik  -187562, July 2020) M. Tech.

6. Road Extraction from Satellite Images through Deep Learning Methods (Jayant Dubey - 177911, July 2020).

7.  Food Image Recognition by Machine Learning Techniques  (Vinayak Barsale  - 177941, July 2020).

8.  Automate Allocation of Secure Slice in Future Mobile Networks using  Machine Learning( Immadisetti MudduKrishnama Naidu- 197559, July 2021) M. Tech.

9. Interpretability of transcription factor binding site prediction using Deep Learning (Sandhya Singh, 187931, July 2021).

10.  Enhance ATM’s Security with Security Guard, (Rahul Singh Chouhan,  187927,  July 2021).

 

B.Tech Thesis Supervised:

1. Person Tracking and Re-Identification In Long Term Videos (Srimukhi Bachu (157257), Sai Deeksha Siripurapu (157255) and B Pranay Kumar (157209), 2019).

2. Dense Captioning of Images using Deep Sparse Method (M. Gowthami (157234), N. Hanisha (157240) and M.Neelikanth (157235), 2019).

3.   Tuberculosis Severity Scoring Using Deep Learning Method (Neha Sharma  (167242),  S. Siva Sahitya (167260) and P. Sandhya (167247), 2020).

4.  Automatic Plant Disease Classification Using Squeeze and Excitation Network (SE-Net) (srinikita gundeti (167222),  Lahari Karimajji (167230) and Yanna Sairam Reddy  (167268), 2020).

5. Fine Grained Image Classification over iNaturalist Dataset ( Akshay  Nayak ( 177103),  Aftab Ansari  (177102)  and Praveen Pratap Singh (167248 ), 2021).

6.  Image Super Resolution (Mithilesh Gaurihar (177136),  Mohit Shyoran (177137 ) and  Yash Pawar (177169 ), 2021).

 

 

 

 

 

Workshops/Conferences

 Workshops/Training Programs Conducted:

1. Six-Day  Faculty Development Program (FDP) on "Machine Learning Techniques for Image Processing and Computer Vision", in association with E & ICT academy, NIT Warangal, 6th May 2019 -11th May 2019 .

2. Six-Day  Faculty Development Program (FDP) on "Machine Learning in Image Processing and Computer Vision Applications", in association with E & ICT academy,  NIT Warangal, 24th – 29th June 2019.

3. Five-Day  Faculty Development Program (FDP) on "AI and Machine Learning ", AICTE Training and Learning (ATAL) Academy Sponsored program, 19th - 23rd November 2019, CSE Department, NIT Warangal.

4.  Six-Day  Faculty Development Program (FDP) on "Machine Learning Techniques for Image Processing and Computer Vision",  was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal ,  during  25th – 30th November 2019.

5.  Five Day online FDP Program (FDP) on “Machine Learning in Real Time Applications”, was organized by Department of Computer Science and Engineering in association with CCE, NITW during 24th – 28th August 2020.

6.  A 10 Days online FDP Program on “Data Science” was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 02nd – 11th January 2021. 

7. A 10 Days online FDP Program on “Data Science” was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 15th – 24th May 2021.

8. A 10 Days online FDP Program on “Deep Learning and AI Applications” was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 21st  – 30th June 2021. 

9.  A 10 Days online FDP Program on “Deep Learning and Applications" was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 1st – 10th July 2021.

10. A 10 Days online FDP Program on “Machine Learning Tools for IoT Applications" was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 12th – 22nd July 2021.

11.  A 10 Days online FDP Program on “Deep Learning and AI Applications" was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 2nd – 9th August 2021.

12. A 10 Days online FDP Program on “Data Science and IT’s Applications with Python" was organized by Department of Computer Science and Engineering in association with E & ICT academy NIT Warangal during, 9th-20th August 2021.

 

Worshops/Training Programmes Attended:

 1. A two-day Workshop on ,"Linux Environment for Educational Institutions", was conducted on Nov 22, 2007 and Nov 23, 2007.

2. A 4-day Workshop on IBM (RATIONAL ROSE) Organized by IBM. Nov. 2008.

3. Workshop on Image and Speech Processing WISP 2010 was conducted on Thursday, 16th December 2010

4.  Workshop on Image and Speech Processing WISP 2012  was conducted on Saturday, 17th December 2011

5.  Attended Workshop on Learning Sparse Representations for Signal Processing held at IISc Bangalore 2015.

6.  Teaching learning and evolution online with Moodle MOOC platform & OER NIEPA, New Delhi 2018-08-06.

 

Invited Talks

1. Given Expert lecturer on OER, Content Development, MOOCs and Moodle NIT Warangal 2018-09-11.

2. Given Expert lecturer on OER, Content Development, MOOCs and Moodle IIIT Nuzvid. 27-12-2018.

3.Given Expert lecturer on Design and Development of MOOCs through SWAYAM, JNTUA College of Engineering (Autonomous), Ananthapuramu, 21-01-2019.

4. Given Expert lecturer on topic Artificial Intelligence, Machine Learning and Block Chain Technology in Production and Supply Chain Management, E & ICT Academy, NIT Warangal, 27-4-2019.
5. Given Expert lecturer on topic Machine Learning Techniques for Image Processing and Computer Vision, NIT Warangal, 8-5-2019.
6. Given Expert lecturer on topic Deep Learning, Sree Vidyanikethan Engineering College, Tirupati, 24-5-2019.
7. Given Expert lecturer on topic “Artificial Neural Networks & Deep Learning”, MVGR College of Engineering (A), Vizianagaram, 8-6-2019.
8. Given Expert lecturer on topic “Machine Learning and its Applications”, Srinivasa Ramanujan Institute of Technology, Ananthapuramu, 11-6-2019.
9. Given Expert lecturer on topic Machine Learning Applications in Software Engineering, E & ICT Academy, NIT Warangal, 12-06-2019.
10. Given Expert lecturer on Design Develop and deliver on line courses – Phase II, Coimbatore Institute of Technology, Coimbatore, 19-6-2019.   

11.Given Expert lecturer on topic “Machine Learning Techniques for Image Processing and Computer Vision”, E & ICT Academy, NIT Warangal, 25-6-2019.
12. Given Expert lecturer on topic “Deep Learning and Its Applications”, PVP Siddhartha Institute of Technology, Vijayawada,27-6-2019.
13. Given Expert lecturer on, “Mathematics behand Machine Learning”, Gayatri vidya parishad college of engineering Visakhapatnam, 20 July 2019.
14. Given Expert lecturer on, “Machine Learning Techniques for Real Time Applications” E & ICT Academy, NIT Warangal, 25-6-2019 and 26-6-2019.
15. Given Expert lecturer on, “Deep Learning and Bigdata Analytics”, AICTE – Sponsored TWO WEEK - Faculty Development Program, SRKR Engineering College 2-11-2019 and 3-11-2019.
16. Given Expert lecturer on, “Data Sciences”, AICTE – Sponsored 5 days- Faculty Development Program, CSE Department, NIT Warangal, 11-11-2019.
17. Given Expert lecturer on, “Artificial Intelligence and Deep Learning”, Pragati Engineering College (Autonomous), Surampalem, 20-11-2019.
18. Given Expert lecturer on, “Artificial Intelligence”, AICTE – Sponsored 5 days- Faculty Development Programme, CSE Department, NIT Warangal, 19-11-2019 and 23-11-2019.
19. Given Expert lecturer on, “Deep Learning and Its applications”, Vasavi Engineering College, 25-11-2012.
20.Given Expert lecturer on, “Machine Learning in Image and Computer Vision Applications”, Vardhaman College of Engineering (Autonomous), Shamshabad, Hyderabad, 26-11-2012.
21. Given Expert lecturer on, “Deep Learning with AI Applications”, NRI Institute of Technology, Agiripalli, 28-11-2019.
22. Given Expert lecturer on, “Artificial Intelligence”, JNTUH is organizing AICTE sponsored Five Day Faculty Development Program, 2-12-2019.
23. Given Expert lecturer on, “Machine learning and Deep learning for Real time Applications”, DST-ICPS sponsored STTP, ECE Department, NIT Warangal, 3-12-2019.
24. Given Expert lecturer on, “Big Data Analytics for Cyber Physical Systems: Research Challenges and Opportunities”, AICTE sponsored two-week Faculty Development Program, Sri Venkateswara College of Engineering & Technology (SVCET) , Tirupati 18-12-2019.
25. Given Expert lecturer on, "Artificial Intelligence, Machine Learning and Deep Learning applications in Production and Manufacturing Systems", DST-ICPS sponsored STTP, Department of Mechanical Engineering, NIT Warangal, 4-1-2020.
26. Given Expert lecturer on, “AI and Machine Learning for Real Time Applications”, IIIT Srikakulam, Nuziveedu Campus, 12-02-2020.
27. Given Expert lecturer on, “Teaching and Learning practices of Data Analysis Through Hands on Experience”, Teaching Learning Center Sponsored FDP, Department of Computer Science and Engineering, NIT Warangal, 12-03-2020. 

 

Programming Committee Member:

1. 9th International Conference on Soft Computing for Problem Solving (Socpros 2019), Liverpool Hope University, Liverpool, UK, 2 - 4 September 2019. (Technical Programme Committee Member)

2. Special session chair for Deep Learning with Image and Computer Vision Applications, in 9th International Conference on Soft Computing for Problem Solving (Socpros 2019), Liverpool Hope University, Liverpool, UK, 2 - 4 September 2019.

3. Technical Programme Committee Member for 8th International Conference on Pattern Recognition and Machine Intelligence (Premi 2019), Tezpur University (TU), Tezpur, India, December 17-20, 2019.

4.  Programme Committee Member for 2nd International Conference on Soft Computing and its Engineering Applications (icSoftComp2020), CHARUSAT, Changa, India during December 11-12, 2020.

5.  Technical Programme Committee Member for SPRINGER International Conference( AISE 2020) at NIT GOA, India, November 27th - 29th.

Awards and Honors

1. Participated in JENESYS programme (May 6-15, 2012) in Japan

2.  IEEE SPCOM Travel Grant in India  2012 

3. Biomed summer school Travel Grant 2013

4. Selected for Research Excellence award for outstanding research performance in Ph.D Program  2014

5. Selected for XRCI 2014 Research Colloquium, India, 2015 with Travel grant 

6. Selected for ISBA 2015 Doctoral Consortium in Hong Kong, 2015 with Travel grant 

7. National Mathematics Initiative (NMI) Travel Grant 2015  

8. IEEE Signal Processing Society (iEEE SPS) Travel Grant 2016

8. Selected for Young Scientist in Computer Science and Engineering  award  from 4th Venus International Research Awards - VIRA 2018

Additional Responsibility

 BOS  Member

1. BOS member for Tech CSE-AI & ML program, VFSTR deemed to be University, Vadlamudi, 2020. 

 

Additional Responsibility

1.  Research & Professional Practice Working Group Member, NIT Warangal, 2020.

2. Department Coordinator of Indian Science Technology and Engineering Facilities Map (I-STEM): Linking Researchers and Resources for CSE Department.

3. Faculty Advisor for Big Data Analytics & Consulting Cell (BDACC) during 2020-2021

4. Mess Warden   Nov 2020 – till date

5.  Monitoring Committee member for Implementation of SMILE Project (MIS)

6. Faculty In charge of Website and Email from December 2020 - till date.

7. AI Standardisation Committee Member of Department of Telecommunications (Jan 2021 – Till date).

8.  Coordinator of Digital committee in Induction program for the I B Tech students during 2nd -7th December 2020.

9. Faculty Advisor for Big Data Analytics & Consulting Cell (BDACC) during 2021-2022.

10. Department Coordinator of  purchase and interact with  Central Stores.