मालवीय राष्ट्रीय प्रौद्योगिकी संस्थान जयपुर (राष्ट्रीय महत्व का संस्थान)
Malaviya National Institute of Technology Jaipur (An Institute of National Importance)
Department of Computer Science & Engineering
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43

Journal Publications

19

Conference Publications

2

Research Projects

4

PhD Research Supervised

4

Awards & Honours

Qualifications
  • Ph.D.(CSE) from National Institute of Technology Rourkela(2019)
    M. Tech.(CSE) from CET Bhubaneswar(2013)
    B .Tech.(CSE) from Biju Patnaik University of Technology, Rourkela, Odisha(2011)
    PostDoc(CSE) from IIITDM Kancheepuram(2019)
Research Interests

Medical Image Analysis, Machine Learning, Deep Learning, Pattern Recognition, Computer Vision, Hyperspectral Image Analysis.

Professional Background
  • Assistant Professor at Malaviya National Institute of Technology, Jaipur [30 June 2020 - Present].
    Assistant Professor at Sardar Vallabhbhai National Institute of Technology Surat [05 December 2019 - 29 June 2020].
    Post Doctoral Fellow at Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram [01 January 2019 - 02 December 2019].

  • Computer Graphics
  • Computer Science & Programming
  • Computer Vision
  • Introduction to Signals & Communications
  • Mathematical Foundation of Learning
  • Neural Networks
  • Pattern Recognition
  • Programming Methodology
  • Programming with Python

    2024
  • Dipankar Das, Deepak Ranjan Nayak, "FJA-Net: A Fuzzy Joint Attention Guided Network for Classification of Glaucoma Stages" , IEEE Transactions on Fuzzy Systems (IEEE) Volume :00 / / 2024 DOI: 10.1109/TFUZZ.2024.3448231
  • Tapas K. Dutta, Deepak Ranjan Nayak, Ram B. Pachori, "GT-Net: global transformer network for multiclass brain tumor classification using MR images" , Biomedical Engineering Letters (Springer ) Volume :14 / / 2024 DOI: https://doi.org/10.1007/s13534-024-00393-0
  • Dipankar Das, Deepak Ranjan Nayak, Ram B. Pachori, "AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images" , Image and Vision Computing (Elsevier) Volume :146 / / 2024 DOI: https://doi.org/10.1016/j.imavis.2024.105042
  • D. Das, D. R. Nayak, S. V. Bhandary, U. R. Acharya, "CDAM-Net: Channel Shuffle Dual Attention Based Multi-Scale CNN for Efficient Glaucoma Detection Using Fundus Images" , Engineering Applications of Artificial Intelligence (Elsevier) Volume :0 / / 2024 DOI: -
  • Babita, Deepak Ranjan Nayak, "RDTNet: A residual deformable attention based transformer network for breast cancer classification" , Expert Systems With Applications (Elsevier) Volume :249 / / 2024 DOI: https://doi.org/10.1016/j.eswa.2024.123569
  • Pallabi Sharma, Deepak Ranjan Nayak, Bunil K. Balabantaray, M. Tanveer, Rajashree Nayak, "A survey on cancer detection via convolutional neural networks: Current challenges and future directions" , Neural Networks (Elsevier) Volume :169 / 637-659 / 2024 DOI: https://doi.org/10.1016/j.neunet.2023.11.006
    • 2023
  • Tapas K Dutta, Deepak Ranjan Nayak, Yu-Dong Zhang, "ARM-Net: Attention-guided Residual Multiscale CNN for Multiclass Brain Tumor Classification using MR Images" , Biomedical Signal Processing and Control (Elsevier) Volume :00 / / 2023 DOI: 0
  • Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, Ram Bilas Pachori, "An Efficient Deep Learning Method for Detection of COVID-19 Infection using Chest X-ray Images" , Diagnostics (MDPI) Volume :13 / 00-00 / 2023 DOI: 10.3390/diagnostics13010131
  • Y Zhang, J. M. Gorriz, D. R. Nayak, "Optimization Algorithms and Machine Learning Techniques in Medical Image Analysis" , Mathematical Biosciences and Engineering (AIMS Press) Volume :20 / / 2023 DOI: 10.3934/mbe.2023255
  • Dipankar Das, Deepak Ranjan Nayak, Ram B. Pachori, "CA-Net: A Novel Cascaded Attention-basedNetwork for Multi-stage Glaucoma Classification using Fundus Images" , IEEE Transactions on Instrumentation and Measurement. (IEEE) Volume :0 / / 2023 DOI: 0
  • Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri, "M 2 CE: Multi-CNN ensemble approach for improved multiclass classification of skin lesion" , Expert Systems (Wiley) Volume :0 / / 2023 DOI: 0
    • 2022
  • Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri, "A Comprehensive Analysis of Dermoscopy Images for Melanoma Detection via Deep CNN Features" , Biomedical Signal Processing and Control, Elsevier (Elsevier) Volume :79 / 00-00 / 2022 DOI: https://doi.org/10.1016/j.bspc.2022.104186
  • Amogh M Joshi, Deepak Ranjan Nayak, Dibyasundar Das, Yu-Dong Zhang, "LiMS-Net: A Lightweight Multi-Scale CNN for COVID-19 Detection from Chest CT Scan" , ACM Transactions on Management Information Systems (Accepted) (ACM) Volume :00 / 00-00 / 2022
  • Amogh M Joshi, Deepak Ranjan Nayak, "MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis from CT Images" , IEEE Journal of Biomedical and Health Informatics (Formerly known as IEEE Transactions on Information Technology in Biomedicine) (IEEE) Volume :26 / 5355 - 5363 / 2022 DOI: 10.1109/JBHI.2022.3196489
  • HImashu K Gajera, Mukesh A Zaveri, Deepak Ranjan Nayak, "Patch based Local Deep Feature Extraction for Automated Skin Cancer Classification" , International Journal of Imaging Systems and Technology (Wiley) Volume :00 / 00-00 / 2022
    • 2021
  • S. Wang, Deepak Ranjan Nayak, D. S. Guttery, X. Zhang, Y. Zhang, "COVID-19 Classification by CCSHNet with Deep Fusion using Transfer Learning and Discriminant Correlation Analysis" , Information Fusion (Elsevier) Volume :68 / 131-148 / 2021
  • Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, Ram Bilas Pachori, "Application of Deep Learning Techniques for Detection of COVID-19 Cases using Chest X-ray Images: A Comprehensive Study" , Biomedical Signal Processing and Control (Elsevier) Volume :64 / 1-12 / 2021
  • Si-Yuan Lu, Deepak Ranjan Nayak, Shui-Hua Wang, Yu-Dong Zhang, "A Cerebral Microbleed Diagnosis Method via FeatureNet and Ensembled Randomized Neural Networks" , Applied Soft Computing (Elsevier) Volume :109 / 1-11 / 2021
  • Deepak Ranjan Nayak, Dibyasundar Das, Banshidhar Majhi, Sulatha V. Bhandary, U. Rajendra Acharya, "ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images" , Biomedical Signal Processing and Control (Elsevier) Volume :67 / 01-09 / 2021
  • Partha Pratim Sarangi, Deepak Ranjan Nayak, Madhumita Panda, Banshidhar Majhi, "A Feature-Level Fusion based Improved Multimodal Biometric Recognition System using Ear and Profile Face" , Journal of Ambient Intelligence and Humanized Computing (Springer ) Volume :0 / 00-01 / 2021
    • 2020
  • Chaosheng Tang, Deepak Ranjan Nayak, Shuihua Wang, "Least-square support vector machine and wavelet selection for hearing loss identification" , Computer Modeling in Engineering & Sciences (Tech Science Press) Volume :125 / 299-313 / 2020 DOI: https://doi.org/10.32604/cmes.2020.011069
  • Yudong Zhang, Deepak Ranjan Nayak, Xin Zhang, Shui-Hua Wang, "Diagnosis of Secondary Pulmonary Tuberculosis by an Eight-layer Improved Convolutional Neural Network with Data Augmentation and Stochastic Pooling" , Journal of Ambient Intelligence and Humanized Computing (Springer ) Volume :0 / 00-01 / 2020
  • Nikunja Bihari Kar, Deepak Ranjan Nayak, Korra Sathya Babu, Yu-Dong Zhang, "A Hybrid Feature Descriptor with Jaya Optimized Least Squares SVM for Facial Expression Recognition" , IEEE/IET Image Processing (IET) Volume :0 / 00-01 / 2020
  • Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "MJCN: Multi-Objective Jaya Convolutional Network for Handwritten Optical Character Recognition" , Multimedia Tools and Applications (Springer ) Volume :0 / 00-01 / 2020
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method" , Pattern Recognition Letters (Elsevier) Volume :138 / 385-391 / 2020
  • Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Yudong Zhang, "H-WordNet: A holistic convolutional neural network approach for handwritten word recognition" , IEEE/IET Image Processing (IET) Volume :0 / 00-01 / 2020
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Ram Bilas Pachori, Yudong Zhang, "A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer" , Biomedical Signal Processing and Control (Elsevier) Volume :58 / 1-11 / 2020
  • Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi, "Automated diagnosis of pathological brain using fast curvelet entropy features" , IEEE Transactions on Sustainable Computing (IEEE) Volume :5 / 416-427 / 2020
    • 2019
  • Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, Snehashis Majhi, Banshidhar Majhi, "Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images" , Multimedia Tools and Applications (Springer ) Volume :79 / 1-16 / 2019
  • Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "An empirical evaluation of extreme learning machine: Application to handwritten character recognition" , Multimedia Tools and Applications (Springer ) Volume :78 / 19495-19523 / 2019 DOI: https://doi.org/10.1007/s11042-019-7330-0
  • Deepak Ranjan Nayak, Yudong Zhang, Dibyasundar Das, Subinita Panda, "MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection" , Applied Soft Computing (Elsevier) Volume :83 / 1-10 / 2019
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Yudong Zhang, "A hybrid regularized extreme learning machine for automated detection of pathological brain" , Biocybernetics and Biomedical Engineering (Elsevier) Volume :39 / 880-892 / 2019
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, U. Rajendra Acharya, "Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities" , Computerized Medical Imaging and Graphics (Elsevier) Volume :77 / 1-10 / 2019
    • 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection" , Neurocomputing (Elsevier) Volume :282 / 232-247 / 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Shuihua Wang, "Combining extreme learning machine with modified sine cosine algorithm for pathological brain detection" , Computers & Electrical Engineering (Elsevier) Volume :68 / 366-380 / 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "An improved pathological brain detection system based on two-dimensional PCA and evolutionary extreme learning machine" , Journal of Medical Systems (Springer) Volume :42 / 1-15 / 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform" , Multimedia Tools and Applications (Springer) Volume :77 / 22705-2273 / 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Pathological brain detection using curvelet features and least squares SVM" , Multimedia Tools and Applications (Springer) Volume :77 / 3833-3856 / 2018
    • 2017
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Vijendra Prasad, "Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach" , Expert Systems with Applications (Elsevier) Volume :88 / 152-164 / 2017
  • Yudong Zhang, Deepak Ranjan Nayak, Ming Yang, Ying Shao, Bin Liu, Shuihua Wang, "Detection of unilateral hearing loss by stationary wavelet entropy" , CNS & Neurological Disorders Drug Targets (Bentham Science) Volume :16 / 122-128 / 2017
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Stationary wavelet transform and AdaBoost with SVM based pathological brain detection in MRI scanning" , CNS & Neurological Disorders Drug Targets (Bentham Science) Volume :16 / 137-149 / 2017
    • 2016
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Jahangir Mohammed, "Non-linear cellular automata based edge detector for optical character images" , Simulation (Sage) Volume :92 / 849-859 / 2016
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests" , Neurocomputing (Elsevier) Volume :177 / 188-197 / 2016

    2024
  • Babita, Deepak Ranjan Nayak, "LiCT-Net: Lightweight Convolutional Transformer Network for Multiclass Breast Cancer Classification" , IEEE TENCON 2024 - Artificial Intelligence and Deep Learning Technologies for a Sustainable Future by :IEEE at Singapore / / 2024
  • Babita, Kadali S. Akash, Deepak Ranjan Nayak, M. Tanveer, "CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification" , 31st International Conference on Neural Information Processing ICONIP2024 by :Springer at Auckland / / 2024
  • Niladri Chakraborti, Deepak Ranjan Nayak, "MCT-Net: MCT-NET: A Lightweight Multiscale Convolutional Transformer Network for Polyp Segmentation" , 31st IEEE International Conference on Image Processing ICIP 2024 by :IEEE at Abu Dhabi / / 2024
    • 2023
  • Dipankar Das, Deepak Ranjan Nayak, "GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification" , 30th IEEE International Conference on Image Processing ICIP 2023 by :IEEE at Kuala Lumpur, Malaysia / / 2023
    • 2022
  • Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak, "Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images" , 20th OITS International Conference on Information Technology 2022 (OCIT 2022) by :IEEE at Bhubaneswar / / 2022
  • S. Majhi, D. R. Nayak, R, Dash, P. K. Sa, "Multi-Level 3DCNN With Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection" , 29th International Conference on Neural Information Processing (ICONIP 2022) by :Springer at Delhi, India / / 2022
  • Tapas K. Dutta, Deepak Ranjan Nayak, "CDANet: Channel Split Dual Attention Based CNN for Brain Tumor Classification in MR Images" , 29th IEEE International Conference on Image Processing (ICIP 2022) by :IEEE at Bordeaux, France / / 2022
  • Amogh M Joshi, Deepak Ranjan Nayak, "GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images" , 2022 International Joint Conference on Neural Networks (IJCNN) by :IEEE at Padua, Italy / / 2022
  • Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri, "Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification" , 44th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) by :IEEE at Glasgow, Scotland, UK / 00-00 / 2022
    • 2021
  • S. Majhi, D. R. Nayak, "Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images" , 6th IAPR International Conference on Computer Vision & Image Processing (CVIP2021), 2021 by :Springer at IIT Ropar, India / / 2021
  • Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak, "Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features" , 19th International Conference on Artificial Intelligence in Medicine (AIME 2021) by :Springer at Porto, Portugal / / 2021
    • 2018
  • Deepak Ranjan Nayak, Ratnakar Dash, Zhihai Lu, Siyuan Lu, Banshidhar Majhi, "SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain" , 27th International Symposium on Robot and Human Interactive Communication (RO-MAN 2018) by :IEEE at Nanjing, China / 764-769 / 2018
    • 2017
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Pathological Brain Detection Using Extreme Learning Machine Trained With Improved Whale Optimization Algorithm" , 9th International Conference on Advances in Pattern Recognition (ICAPR-2017) by :IEEE at ISI Bangalore / 1-6 / 2017
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "An Improved Extreme Learning Machine for Pathological Brain Detection" , 2017 IEEE Region 10 Conference (TENCON-2017) by :IEEE at Penang, Malaysia / 13-18 / 2017
  • Sameer Ranjan, Deepak Ranjan Nayak, Kallepalli Satish Kumar, Ratnakar Dash, Banshidhar Majhi, "Hyperspectral Image Classification: A K-Means Clustering Based Approach" , 4th International Conference on Advanced Computing and Communication Systems (ICACCS-17) by :IEEE at Coimbatore, India / 1-7 / 2017
    • 2015
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Salt and Pepper Noise Reduction Schemes Using Cellular Automata" , 3rd International Conference on Advanced Computing, Networking and Informatics (ICACNI-15) by :Springer at Bhubaneswar / 427-435 / 2015
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Classification of Brain MR Images Using Discrete Wavelet Transform and Random Forests" , 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-15) by :IEEE at IIT Patna / 1-4 / 2015
  • Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, "Least Squares SVM Approach for Abnormal Brain Detection in MRI Using Multiresolution Analysis" , International Conference on Computing, Communication and Security (ICCCS) by :IEEE at Mauritius / 1-6 / 2015
    • 2014
  • Jahangir Mohammed, Deepak Ranjan Nayak, "An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata" , International Conference on Information Communication and Embedded Systems (ICICES) by :IEEE at Chennai / 1-4 / 2014

  • Book Chapter, "Automated Detection of Brain Abnormalities Using Multi-Directional Features and Randomized Learning: A Comparative Study, Handbook of Research on Advancements of Artificial Intelligence in Healthcare " ISBN:9781799821205 published by - IGI Global Year: 2020 authors- Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, Banshidhar Majhi

Journal Name Publisher Role Duration
Mathematical Biosciences and Engineering JournalAIMS PressGuest Editor31-10-2021 - 31-12-2021
International Journal of Imaging Systems and TechnologyWileyEditor01-11-2020 - Present

  • National level Seminar on Machine Learning Enabled Signal Processing for Medical Applications at MNIT, Jaipur, India from 14-08-2023 to 14-08-2023
  • National level Seminar on Agent-based Distributed Artificial Intelligence Framework at MNIT Jaipur, Jaipur, India from 12-12-2022 to 12-12-2022
  • National level Seminar on Recent Developments on Transformers and Its Applications to Computer Vision at MNIT, Jaipur, India from 30-09-2022 to 30-09-2022
  • International level Short Term Course on EICT Global online FDP on “Social Robotics & AI” at MNIT Jaipur, Jaipur, India from 28-06-2021 to 04-07-2021

  • International level Conference on 30th IEEE International Conference on Image Processing (ICIP 2023) at Kuala Lumpur Convention Centre, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia from 08-10-2023 to 11-10-2023
  • International level Conference on 29th International Conference on Neural Information Processing (ICONIP 2022) at IIT Indore, Indore, India from 22-11-2022 to 26-11-2022
  • International level Conference on 29th IEEE International Conference on Image Processing (ICIP 2022) at Bordeaux INP, Bordeaux, France from 16-10-2022 to 19-10-2022
  • International level Conference on International Joint Conference on Neural Networks (IJCNN) organized by IEEE WCCI 2022 at University of Padua, Padua, Italy from 18-07-2022 to 23-07-2022
  • International level Workshop on 2nd International Research Workshop on Advances in Deep Learning and Applications (WADLA 2.0) at IIIT Sri City, Tirupati, India from 21-02-2022 to 25-02-2022

  • Senior Member of IEEE
  • Member of IEEE Computational Intelligence Society
  • IEEE Signal Processing Society of IEEE

    Awarded
  • Gajera Himanshu Kantilal on Design of Deep Learning based Approaches for Skin Cancer Detection using Dermoscopy Images Year - 2024
    • Ongoing
  • Dipankar Das on Retinal Fundus Image Analysis using Deep Learning Techniques Year - 2022
  • NEHA SHROTRIYA on Cancer Image Segmentation Year - 2022
  • Babita on Analysis and Classification of Histopathological Images Year - 2021

    2023-2024
  • Niladri Chakraborti on Polyp Segmentation in Colonoscopy Images using Convolutional Transformer Year - 2023-2024 (Completed)
  • Vikash Kumar Singhal on Hyperspectral Image Classification using Deep Learning Year - 2023-2024 (Completed)
  • Purshottam Verma on Analysis of State-of-The-Art YOLO Models for Food Detection Year - 2023-2024 (Completed)
    • 2022-2023
  • Diksha Chandra on Large Scale Image-based Indian Food Recognition Year - 2022-2023 (Completed)
  • Sangada Rajan Masubhai on Lightweight CNN Model for Early Breast Cancer Detection in Mammogram Images Year - 2022-2023 (Completed)
  • Yashi Rastogi on Multi-Class Fundus Lesion Segmentation for Diabetic Retinopathy Detection using Attention-Guided CNN Year - 2022-2023 (Completed)
    • 2021-2022
  • Arvind Okram on Multi-Weighted Attention Network for Diabetic Retinopathy Grading in Fundus Images Year - 2021-2022 (Completed)
  • Rohit Kumar on Skin Cancer Classification using Multipath Convolutional Neural Network Year - 2021-2022 (Completed)

Title Total Outlay
(In Lacs)		 Year Funding Agency Role
Development of Intelligent Multi-Label Ophthalmic Disease Diagnostic Model using Fundus Images30.902024-2027SERB, DST (CRG)PI
Automated Glaucoma Detection and Analysis in Retinal Fundus Images using Deep Learning Algorithms22.002021-2023SERB, DST (SRG)PI

  • Faculty Advisor for Technical Club (Data Science) in MNIT from - 10-10-2022 to Till Date
  • Website Coordinator in MNIT from - 01-08-2022 to Till Date
  • Hostel Warden in MNIT from - 28-07-2022 to Till Date
  • Member of Training and Placement Cell in SVNIT Surat from - 18-02-2020 to 29-06-2020
  • Faculty Advisor for B. Tech.-III Year (Computer Engineering) Program in SVNIT Surat from - 06-01-2020 to 29-06-2020
  • Member of Institute Library Committee in SVNIT Surat from - 01-01-2020 to 29-06-2020

  • 2020 CMES Young Researcher Award (1000$) for Outstanding research in computer modeling and simulation given by CMES, Tech Science Press, USA Year - 2021
  • International Travel Grant for IEEE Conference Presentation given by SERB, DST, Govt. of India Year - 2017
  • Outstanding Reviewer Award for Outstanding Contribution in Reviewing given by Computers and Electrical Engineering Journal, Elsevier Year - 2017
  • Best Paper Award for International Conference on Advance Computing, Networking and Informatics given by ICACNI 2015 Year - 2015

SNo. Type Title Event Place Schedule
1TalkResearch Problem Identification and Publication ProcessEQIP-III sponsored Five Day Online Faculty Development Program (FDP) on Writing Technical Papers and Documents using Latex (WTPD-LATEX)SEC, Mayurbhanj, OdishaFeb-2021
2TalkMedical Image Analysis and Classification: From Machine Learning to Deep LearningSERB Sponsored Ten Days Online Short-term Course on Advancements in Signal Processing and Artificial Intelligence in HealthcareIIITDM Kancheepuram, IndiaFeb-2021
3TalkIntroduction to Medical Image ProcessingOnline ATAL-AICTE Sponsored FDP on "AI, Deep Learning and Computer VisionUniversity Visvesvaraya College of Engineering, BengaluruFeb-2021
4TalkMedical Image Analysis and Classification: From Machine Learning to Deep LearningWinter Webinar on Signal Processing (WWSP)Silicon Institute of Technology, Bhubaneswar, IndiaJan-2021
5KeynoteRole of AI and Medical Imaging in Early Disease Detection2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML-2021)Bhubaneswar, IndiaJan-2021
6TalkRole of Deep Learning in Medical Image Analysis and ClassificationShort Term Course on Research Opportunities in Biomedical Engineering: Theory to Device (ROBiE)IIITDM Kancheepuram, IndiaJan-2021
7TalkClassification and Regression TechniquesAICTE sponsored Five Days FDP on "Artificial Intelligence and Its Applications (AIA20)"IIITDM Kancheepuram, IndiaDec-2020
8TalkDeep Learning and ApplicationsQIP Sponsored Short Term Course (STC) on "Computational Methods in Signal Processing and Machine Learning"IIT Indore, IndiaDec-2020
9TalkDeep Learning and Real Life ApplicationsAICTE-ISTE Sponsored Induction program (online) on Data science, Analytics and Visualization ToolsSSTC, Bhilai, IndiaDec-2020
10TalkMedical Image Processing using Deep LearningFive Days FDP on Recent Advances in Artificial Intelligence and Machine LearningSRM University-AP, Andhra Pradesh, IndiaNov-2020
11TalkMachine Learning for Data ScienceAICTE-ISTE Refresher program (online) on Data science, Analytics and Visualization ToolsSSTC, Bhilai, IndiaNov-2020
12TalkDeep Learning for Biomedical Signal and Image ProcessingTEQIP-III Sponsored Short-Term Course on Current Trends in Biomedical Signal and Image ProcessingIIT Indore, IndiaOct-2020
13TalkMachine Learning, Randomized Neural Networks and its ApplicationsAICTE Sponsored Five Days FDP on Artificial Intelligence and Machine LearningSRM Institute of Science and Technology Delhi-NCR Campus, Ghaziabad, IndiaOct-2020
14TalkOverview of Deep Learning AICTE sponsored Six-Days Short Term Training Programme [Phase-II] on "Building Intelligent Applications with Deep Learning using PytorchRajalakshmi Institute of Technology, Chennai, IndiaOct-2020
15TalkPattern Recognition and its ApplicationsAICTE-AQIS sponsored 2nd Short Term Training Programme (STTP) on Image Processing and its Application Poornima Institute of Engineering & Technology, Jaipur, IndiaSep-2020
16TalkMachine/Deep Learning for Medical Image ClassificationAICTE Training and Learning (ATAL) Online Faculty Development Programme on “Signal Processing and Machine Learning Algorithms for Biomedical Data Analytics in Health Care ApplicationsCoimbatore Institute of Technology, Coimbatore-14, IndiaSep-2020
17KeynoteMedical Image Analysis: A Perspective from Machine Learning to Deep LearningVirtual Conclave on Computer Vision Impelled Technology (VCCVIT2020)​Dayananda Sagar University, Bengaluru, IndiaSep-2020
18TalkMedical Image AnalysisTEQIP – III Sponsored One Week Online FDP on Emerging Technologies: Theory and Applications (ETTA)Veer Surendra Sai University of Technology (VSSUT), Burla, IndiaSep-2020
19TalkMachine Learning, Deep Learning and its Applications in Medical Image AnalysisTEQIP-III sponsored 5-Day online workshop on "Artificial Intelligence and Machine Learning Applications in HealthcareNIT Meghalaya, IndiaSep-2020
20TalkPattern Recognition in Medical ImagingAICTE-AQIS sponsored first Short Term Training Programme (STTP) on Image Processing and its ApplicationPoornima Institute of Engineering & Technology, Jaipur, IndiaAug-2020
21Talk Introduction to Pattern RecognitionAICTE-AQIS sponsored first Short Term Training Programme (STTP) on Image Processing and its ApplicationPoornima Institute of Engineering & Technology, Jaipur, IndiaAug-2020
22TalkAdvances in Machine/Deep Learning for Medical Image AnalysisWorkshop on Deep Learning Applications in Medical ImagingSRM Institute of Science and Technology, Kattankulathur, Chennai, IndiaAug-2020
23TalkDeep Learning Applications in Medical Image AnalysisA Five Day Online Faculty Development Program on Emerging Trends in the Application of Machine LearningGMR Institute of Technology, GMR Nagar, Rajam, IndiaJul-2020
24KeynoteImpact of AI and Computer Vision during COVID-19Impact Lecture Session on Online Mode under MHRD Innovation Cell ForumGandhi Institute For Technology (GIFT) Bhubaneswar, IndiaJul-2020
25TalkApplication of Deep Learning in Biomedical Image ProcessingNational Level Webinar Series on Recent Advances in Engineering and TechnologyG H Raisoni College of Engineering, Nagpur, IndiaJun-2020
26TalkApplication of Machine Learning in Biomedical Image ProcessingFive Day National Workshop on Applications of Image Processing and Machine Learning (Virtual)Gayatri Vidya Parishad College of Engineering for Women, Vishakhapatnam, Andhra PradeshJun-2020
27TalkIdentification of Research Problems and Publication Process (Webinar)One Day FDP on Analysis and Identification of Research ProblemsIPS ACADEMY Indore, IndiaJun-2020
28TalkOverview of Machine Learning Algorithms and its ApplicationsFive Days STTC on Machine Learning Algorithms and Applications (MAA-2019)IIITDM Kancheepuram, Chennai, IndiaNov-2019
29TalkMachine Learning and Deep Learning Algorithms for Problem SolvingFaculty Development Program on Machine Learning and Deep Learning using MATLABVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, ChennaiJul-2019
30TalkConvolutional Neural Networks for Computer VisionFive days workshop on Digital Image Processing and Machine VisionIIIT-DM Kancheepuram, Chennai, IndiaJun-2019
31TalkMedical Image Analysis using Advanced Machine Learning ApproachesLecture Series on Machine LearningUtkal University, Bhubaneswar, IndiaNov-2018
32TalkDeep Convolutional Neural Networks: An OverviewOne Week Induction Program on Soft Computing and Machine LearningSEC, Mayurbhanj, IndiaJul-2018
33KeynotePathological Brain Detection through Magnetic Resonance ImagingCSE Doctoral SymposiumNIIT University, Neemrana, Rajsthan, IndiaSep-2017
34TalkMachine Learning and its Applications in Daily LifeNational symposium on Engineering Technology and InnovationSEC, Mayurbhanj, IndiaApr-2017
35TalkMATLAB Implementations of Image Processing AlgorithmsThree days National Workshop on Advanced Signal, Speech and Image ProcessingGVPCE, Visakhapatnam, IndiaDec-2016
36TalkIntroduction to Digital Image and Video ProcessingTwo days National Workshop on Image and Video ProcessingGIET, Gunupur, IndiaMar-2016

S.No. Category Name of Activity Organization Place Position Schedule
1InternationalICESIP 2019 ConferenceIIITDM KancheepuramChennai, IndiaTechnical Session ChairJul-2019
2InternationalICONIP 2022 (Core Rank A Conference)IIT IndoreIndorePublication Chair Nov-2022
3NationalPhD ThesisKARE (Deemed to be University)Tamil NaduExternal ExaminerOct-2022
4InternationalOCIT 2022 ConferenceKIIT BhubaneswarBhubaneswarMedia ChairDec-2022
5InternationalIEEE WCCI 2022- IJCNN (Core Rank A Conference)University of PaduaItalyTechnical Session ChairJul-2022
6InternationalMISP 2022 ConferenceNIT RaipurRaipur, IndiaTechnical Session ChairMar-2022
7InternationalICADCML-2022 ConferenceNIT WarangalWarangal, IndiaTechnical Session ChairJan-2022
8InternationalICONIP 2022 (Core Rank A Conference)IIT IndoreIndore, IndiaSession ChairNov-2022

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Feature Modulating Two-stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images
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