Information
Key Notes
- Journal(s): 12
- Conference(s): 35
- Book Chapter(s): 3
- Text Book(s): 2
- PhD: Current - 5
52
PUBLICATIONS5
DOCTORAL STUDENTS4
PROJECTSResearch Areas
Computer Vision
Deep Learning
Machine Learning
Medical Imaging
Sparse Representation
EDUCATION QUALIFICATION
| Degree | Institute | Year |
|---|---|---|
| Doctor of Philosophy | IIT Hyderabad | 2014 |
| Master of Technology | JNTU Hyderabad | 2008 |
| Bachelor of Technology | JNTU Hyderabad | 2005 |
COURSES HANDLED
| Course | L-T-P | Credit | Degree Level |
|---|---|---|---|
| Machine Learning(CS6304) | 3-0-0 | 3 | PG |
| Pattern Recognition and Machine Learning(CS446) | 3-0-0 | 3 | UG |
| Statistical Tools Practice(CS1209) | 0-1-2 | 2 | UG |
| Artificial Intelligence( CS2202) | 3-0-2 | 4 | UG |
| Machine Learning(CS37006) | 3-0-0 | 3 | PG |
| Problem Solving through Programming(CS36001) | 4-0-0 | 4 | PG |
| Machine Learning(CS353) | 3-0-0 | 3 | UG |
| Image Processing(CS5364) | 3-0-0 | 3 | PG |
| Problem Solving and Programming(CS4303) | 3-0-0 | 3 | PG |
| Deep Learning(CS5152) | 3-0-0 | 3 | PG |
| Python Programming(CS5355) | 3-0-0 | 3 | PG |
RESEARCH IDs
ORC ID
SCOPUS ID
Google Scholar ID
PUBLICATIONS
Journal(s)
MedT5-Bi: Bidirectional Translation Between Drug Indications and Molecular Structures Using a Chemically-Aware Transformer,
By Soham Pahari and M Srinivas,
Soham Pahari and M Srinivas,
Journal of Computer-Aided Molecular Design,
vol.,
pp.,
2025
MSMVAN: Multi Step Multi Variate Deep Attention Network for Renewable Energy Forecast,
By U. Shivani Sri Varshini, R. Praneetha Sree, Murukessan Perumal, M. Srinivas and R.B.V. Subramanyam,
IEEE,
IEEE Transactions on Industry Applications ,
vol.na,
pp.12,
2024
DenSplitnet: Classifier-Invariant Neural Network Method to Detect COVID-19 in Chest CT Data,
By Murukessan Perumal and M Srinivas,
Elsevier,
Journal of Visual Communication and Image Representation features,
vol.97,
pp.11,
2023
RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection,
By Shivani Sri Varshini U, R Pranitha sree, M Srinivas and RBV Subramanyam,
IEEE,
IEEE Transactions on Computational Social Systems,
vol.10,
pp.15,
2023
I-S2 FND: A Novel Interpretable Self-Ensembled Semi-Supervised Model based on Transformers for Fake News Detection,
By Shivani Sri Varshini U, R Pranitha Sree, M Srinivas and RBV Subramanyam,
Springer,
Journal of Intelligent Information Systems,
vol.62,
pp.21,
2023
An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition,
By Rama Muni Reddy Y, Muralidhar P and Srinivas M,
Springer,
Brain Topography,
vol.na,
pp.12,
2023
Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks,
By Behura, Aradhana, M. Srinivas, and Manas Ranjan Kabat,
Springer,
Journal of Ambient Intelligence and Humanized Computing,
vol.13,
pp.3989-4008,
2022
INASNET: Automatic Identification of Coronavirus Disease (COVID-19) Based on Chest X-ray Using Deep Neural Network,
By Murkeshan A P, R Pranitha sree, Akshy nayak and M Srinivas,
Elsevier,
ISA Transactions,
vol.124,
pp.82,
2022
Analysis on Novel Coronavirus (COVID-19) Using Machine Learning Methods,
By Milind Yadav, Murkeshan A P and M Srinivas,
Elsevier,
Chaos, Solitons and Fractals: The Interdisciplinary Journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena,
vol.139,
pp.12,
2020
Sparsity-inducing dictionaries for effective action classification,
By Debaditya Roy, M. Srinivas and C. Krishna Mohan,
Elsevier,
Pattern Recognition,
vol.59,
pp.55,
2016
Content Based Medical Image Retrieval Using Dictionary Learning,
By M. Srinivas, R. Ramu Naidu, C.S. Sastry and C. Krishna Mohan, ,
Elsevier,
Neurocomputing,
vol.168,
pp.880,
2015
Adaptive learning-based heartbeat classification,
By M. Srinivas, Tony Basil, and C. Krishna Mohan,
IOS,
Bio-medical materials and engineering,
vol.26,
pp.49,
2015
Conference(s)
Time Series analysis using Memory Enhanced Liquid Neural Network
By Abhijeet Kumar, Dr. M. Srinivas, and Prof. R B V Subramanyam,
21st International conference on Artificial Intelligence Applications and Innovations,
2025
TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering
By U Shivani Sri Varshini, K Jenni and M Srinivas,
18th International Work-Conference on Artificial Neural Networks (IWANN),
2025
TASER-Net: Transformer Based Speech Emotion Recognition
By K Jenni, M Srinivas, U Shivani Sri Varshini and Pradumya Kumar,
18th International Work-Conference on Artificial Neural Networks (IWANN),
2025
TRYOLO: A Transformer Based Real-Time Object Detection Model for UAV Images
By Bhimendra Dewangan, M. Srinivas, Rbv. Subramanyam,
25th International Conference on Innovations for Community Services (I4CS),
2025
LIGHT-YOLOv11: An Efficient Small Object Detection Model for UAV Images
By Bhimendra Dewangan, M. Srinivas,
14th IEEE International Conference on Communication System and Network Technologies (CSNT) ,
2025
PCNNTB: Pre-activated Deep Convolutional Neural Networks Based Tuberculosis Severity Classification
By K Jenni, Murukessan Perumal, and M. Srinivas,
18th IEEE- RVIF International Conference on Communication Technologies,
2024
USE Res2Net: Automatic Plant Image Classification using Squeeze and Excitation
By Murukessan Perumal, K Jenni, Lahari Karimajji, M Srinivas,
18th IEEE- RVIF International Conference on Communication Technologies,
2024
Spatial-DeepLabV3+: Crop Segmentation in Satellite Images
By K Jenni, U. Shivani Sri Varshini and M Srinivas,
18th IEEE- RVIF International Conference on Communication Technologies,
2024
CSA-BERT: Video Question Answering
By Kommineni Jenni, M Srinivas, Roshni Sannapu and Murukessan Perumal,
22nd IEEE Statistical Signal Processing Workshop,
2023
Attention-based Deep Neural Network for Wind Power and Solar Radiation Prediction
By Varshini, U. Shivani Sri, Murukessan Perumal and M Srinivas,
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT),
2023
Tree Optimizer: A classifier-based task scheduling framework
By Pruthvi Raj Venkatesh, Srinivas M and Radha Krishna P,
24th International Conference on Distributed Computing and Networking ICDCN'23,
2023
Smart Contract Cloning Identification using BERT Model Based Representation Learning
By Vishnu Kumar, Pranav Pisipati and M Srinivas, ,
IEEE INDICON, 20th India Council International Conference,
2023
IFSI: Identification of Forged and Stego Images using Deep Learning Method
By Goutham E, Shivani Sri Varshini U, Murukessan Perumal and M Srinivas,
IEEE INDICON 2023: 20th India Council International Conference,
2023
FTDD: Representation Learning using Fourier Transformations for Depression Detection in Social Media Content
By Thotakura Eswar, U.Shivani Sri Varshini, Vishnu Kumar, M Srinivas and P. Radha Krishna,
IEEE INDICON, 20th India Council International Conference,
2023
CED-Net: A Generalized Deep Wide Model for Covid Detection
By Shivani Manoj Toshniwal, P. Pranav, M. N. Toshniwal, M Srinivas, and P. Radha Krishna,
8th International Conference on Computer Vision & Image Processing (CVIP),
2023
DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs
By Murukessan Perumal, E Goutham, Debraj Das, and M Srinivas,
8th International Conference on Computer Vision & Image Processing (CVIP),
2023
FResFormer: Leukemia Detection Using Fusion-enabled CNN and Attention
By Murukessan Perumal, E Goutham, U. Shivani Sri Varshini, M Srinivas, and R.B.V. Subramanyam,
8th International Conference on Computer Vision & Image Processing (CVIP),
2023
HF-Detect A Hybrid Detector for Manipulated Face Detection
By Shakya Ankit, Kommineni Jenni, M Srinivas, Murukessan Perumal, ,
2023 IEEE Region 10 Conference (TENCON),
2023
A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning
By Noboranjan Dey, M Srinivas and Prof. R.B.V. Subramanyam,
2023 IEEE Region 10 Conference (TENCON),
2023
Credit Card Fraud Detection Using Hybrid Learning
By Behura, Aradhana and M. Srinivas,
IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2022),
2022
A Dense layer Stacked CMT-DenseNet Fusion Model for COVID Detection
By Shivani Toshniwal, Srinivas M and Radha Krishna P,
IEEE International Conference on Cloud Computing in Emerging Markets (CCEM),
2022
Automatic allocation of secure slice in future mobile networks using ML
By Muddu Krishnama Naidu Immadisetti, Murukessan A P and M Srinivas,
IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2021),
2021
Deep Features and Sparse Representation Based Fine-Grained Image Classification
By M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao, ,
IEEE International Conference on Multimedia & Expo (ICME 2017),
2017
Deep Dictionary Learning for Fine-Grained Image Classification
By M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao,
IEEE International Conference on Image Processing (ICIP) 2017,
2017
Classification of Medical Images Using Edge Based Features and Sparse Representation
By M. Srinivas and C. Krishna Mohan,
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016),
2016
Discriminative Feature Extraction of X-ray Images using Deep Neural Networks
By M. Srinivas, Debaditya Roy and C. Krishna Mohan,
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016),
2016
Multi-level classification: A generic classification method for medical data sets
By M. Srinivas and C. Krishna Mohan,
17th IEEE International Conference on E-health Networking, Application & Services (Healthcom 2015),
2015
Sparsifying Dense Features for Action Classification
By Debaditya Roy, M. Srinivas and C. Krishna Mohan, ,” Proc. , India, Feb. 2015. ,
IEEE Int. Conf. on Perception and Machine Intelligence, Kolkata,
2015
Sparseland Model for Speckle Suppression of B-mode Ultrasound Images
By M. Srinivas, Ramkrishna Bharath, Pachamuthu Rajalakshmi and C. Krishna Mohan,
IEEE National Conference on Communication (NCC-2015),
2015
Learning Sparse Dictionaries for Music and Speech Classification
By M. Srinivas, Debaditya Roy, and C. Krishna Mohan,
19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014),
2014
Music Genre Classification using On-line Dictionary Learning
By M. Srinivas, Debaditya Roy and C. Krishna Mohan,
19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014),
2014
Medical Images Modality Classification using Multi-Scale Dictionary Learning
By M. Srinivas and C. Krishna Mohan,
19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014),
2014
Dictionary based action video classification with action bank
By Shyju Wilson, M. Srinivas and C. Krishna Mohan,
19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014),
2014
Medical Image Indexing and Retrieval Using Multiple Features
By M. Srinivas and C. Krishna Mohan,
Int. Conf, Computational Intelligence and Information Technology (CIIT 2013),
2013
Efficient Clustering Approach using Incremental and Hierarchical Clustering Methods
By M. Srinivas and C. Krishna Mohan,
Int. Conf IEEE WCCI 2010, Neural Networks (IJCNN), 2010,
2010
Text Book(s)
Artificial Intelligence Technologies for Engineering Applications
By G Sucharitha, A Matta, M Srinivas, SN Mohanty
(Published by: CRC),
Book,
2025
Machine Learning Algorithms and Applications
By Mettu Srinivas, G. Sucharitha and Anjanna Matta
(Published by: Wiley Publications),
Book,
2021
Book Chapter(s)
Facial Expression Recognition Using Fusion of Deep Learning and Multiple Features
By Srinivas, M, Sanjeev Saurav, Akshay Nayak, and A. P. Murukessan in
Machine Learning Algorithms and Applications ,
Wiley ,
Book,
2021
Sparse approximation of overdetermined systems for content-based image retrieval
By M. Srinivas, and R. Ramu Naidu in
Recent Developments in Mathematical Analysis and its Applications,
Springer,
Book,
2014
Efficient Text Classification using Best Feature Selection and Combination Methods
By M. Srinivas, K.P.Supreethi and Dr. E.V.Prasad in
Human Interface and the Management of Information. Designing Information Environments,
Springer ,
Book,
2009
PROJECT / CONSULTANCY
Medically accurate generation of fMRI by decoding speech in a paralyzed person with dysarthria and anarthria
Role:
Principal Investigator
Type: Research
Sponsor: ASEAN- India Collaborative R&D scheme under AISTDF
Project Cost (INR): 2298584
Date of Commencement: 21-04-2025
Duration: 24 Months
Status: Ongoing
Type: Research
Sponsor: ASEAN- India Collaborative R&D scheme under AISTDF
Project Cost (INR): 2298584
Date of Commencement: 21-04-2025
Duration: 24 Months
Status: Ongoing
Large Language Model for Legal Assistance
Role:
Principal Investigator
Type: Research
Sponsor: IIT Mandi - iHub, sanctioned to be a consortium
Project Cost (INR): 13206300
Date of Commencement: 25-03-2025
Duration: 24 Months
Status: Ongoing
Type: Research
Sponsor: IIT Mandi - iHub, sanctioned to be a consortium
Project Cost (INR): 13206300
Date of Commencement: 25-03-2025
Duration: 24 Months
Status: Ongoing
Deep learning-based IR target recognition and classification of military targets
Role:
Co-Principal Investigator
Type: Research
Sponsor: DRDO
Project Cost (INR): 940000
Date of Commencement: 14-11-2023 Date of Completion: 14-11-2024
Duration: 12 Months
Status: Completed
Type: Research
Sponsor: DRDO
Project Cost (INR): 940000
Date of Commencement: 14-11-2023 Date of Completion: 14-11-2024
Duration: 12 Months
Status: Completed
Medical Image Data Segmentation Using Deep Learning
Role:
Principal Investigator
Type: Research
Sponsor: MHRD-RSM, NITW
Project Cost (INR): 500000
Date of Commencement: 06-08-2018 Date of Completion: 06-08-2020
Duration: 24 Months
Status: Completed
Type: Research
Sponsor: MHRD-RSM, NITW
Project Cost (INR): 500000
Date of Commencement: 06-08-2018 Date of Completion: 06-08-2020
Duration: 24 Months
Status: Completed
RESEARCH FELLOWS / PhD STUDENTS
Current PhD Students
G Hamsa
Area of Research:
Deep Learning
Murukessan A P
Area of Research:
Deep Learning for Medical Data Analysis
Shaik Akbar
Area of Research:
Surgeon Action Detection using Deep Learning
Siva Sai Ram Prasad K
Area of Research:
Machine Learning and SDN
Takkellapati Venkata Suneetha
Area of Research:
Deep Learning for Medical Image Segmentation
CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
AWARDS AND ACCOLADES
2025
International Travel Support (ITS)
2023
IEEE Global Distinguished Young Scientist
2022
Best paper award
2016
IEEE Signal Processing Society Travel Grant
2014
Research Excellence award
ADDITIONAL RESPONSIBILITIES
- Faculty-In-Charge, Email and Website (February, 2021 - March, 2023)
- Mess Warden (Godavari mess) (November, 2020 - December, 2022)
- Faculty Advisor (Continuing from January, 2019)
Last updated on November 30, 2025