Nitin Choubey

@nmims.edu

Professor -Computer Science
Narsee Monjee Institute of Management Studies,Mumbai

Nitin Choubey


                  Download Compact PDF  
https://researchid.co/nitin.choubey
- Acedemician with 25+ years of Teaching Experience at Undergraduate, Postgraduate and PhD level includes 18+ as HOD & 02 Years as Associate Dean (Engineering) @ MPSTME, Shirpur.
- Working as HOD-Computer Department & Faculty in-charge for Alumni Relations , Published Three Books, one patent and 67 Papers, in National/International Journals/Conferences.,
- Supervising 03 PhD scholars & Supervised 05 PG, 50+ UG Projects,
- Completed three Research Projects under University Seed Grant Scheme.,
- Earned certificate of specialization with IBM offered online through Coursera :
- “IBM Data Science Professional” by completing (Nine) courses on 24/05/2020.
- “IBM Applied AI” by completing (Six) courses on 13/07/2020.
- “IBM AI Engineering” by completing (Six) courses on 07/09/2020.

EDUCATION

PhD(Computer Science and Engineering)-2014
PhD(Business Management)-2004

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Artificial Intelligence, Computational Theory and Mathematics
18

Scopus Publications

384

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Enhancing brain tumor diagnosis: the role of topological features in deep learning approaches
    Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey
    Biomedical Signal Processing and Control, 2026
  • CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
    Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin Surajkishor Choubey
    Journal of Computational and Cognitive Engineering, 2025
    In today's world of healthcare, brain tumor (BT) detection has become increasingly prevalent. However, the manual BT classification of BTs is a time-consuming process. Consequently, deep convolutional neural network is used by many researchers in the medical field for making accurate diagnoses and aiding in patient's treatment. The traditional techniques have problems such as overfitting and the inability to extract necessary features. To address these issues, we developed the topological data analysis based improved persistent homology (TDA-IPH) and convolutional transfer learning and visual recurrent learning with elephant herding optimization hyperparameter tuning (CTVR-EHO) models for BT segmentation and classification. Initially, the TDA-IPH is designed to segment the BT image. Then, from the segmented image, features are extracted using transfer learning via the AlexNet model and bidirectional visual long short-term memory (Bi-VLSTM). Next, elephant herding optimization is used to tune the hyperparameters of both networks to get an optimal result. Finally, extracted features are concatenated and classified using the softmax activation layer. The simulation results of these proposed CTVR-EHO and TDA-IPH methods are analyzed based on precision, accuracy, recall, loss, and F score metrics. Compared to other existing BT segmentation and classification models, the proposed CTVR-EHO and TDA-IPH approaches show high accuracy (99.8%), high recall (99.23%), high precision (99.67%), and high F score (99.59%). Received: 30 June 2024 | Revised: 18 November 2024 | Accepted: 20 December 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The brain tumor (BT) data that support the findings of this study are openly available in figshare at https://doi.org/10.6084/m9. figshare.1512427.v5. Author Contribution Statement Dhananjay Joshi: Conceptualization, Methodology, Software, Validation, Writing – original draft. Bhupesh Kumar Singh: Methodology, Validation, Writing – review & editing. Kapil Kumar Nagwanshi: Methodology, Validation, Writing – review & editing. Nitin Surajkishor Choubey: Methodology, Validation, Writing – review & editing.
  • Glaucoma detection and severity classification based on glaucoattent net framework
    Sachin Chavan, Nitin Choubey
    International Journal of Machine Learning and Cybernetics, 2025
  • Integrating pyramid vision transformer and topological data analysis for brain tumor
    Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey
    Frontiers in Computer Science, 2025
    IntroductionBrain tumor (BT) classification is crucial yet challenging due to the complex and varied nature of these tumors. We present a novel approach combining a Pyramid Vision Transformer (PVT) with an adaptive deformable attention mechanism and Topological Data Analysis (TDA) to address the complexities of BT detection. While PVT and deformable attention have been explored in prior work, we introduce key innovations to enhance their performance for medical image analysis.MethodsWe developed an adaptive deformable attention mechanism that dynamically adjusts receptive fields based on tumor complexity, focusing on critical regions in MRI scans. The approach also incorporates an adaptive sampling rate with hierarchical dynamic position embeddings for context-aware multi-scale feature extraction. Feature channels are partitioned into specialized groups via an offset group mechanism to improve feature diversity, and a hierarchical deformable attention strategy further integrates local and global contexts to yield refined feature representations. Additionally, applying TDA to MRI images extracts meaningful topological patterns, followed by a Random Forest classifier for final BT classification.ResultsThe method was evaluated on the Figshare brain tumor MRI dataset. It achieved 99.2% accuracy, 99.35% recall, 98.9% precision, a 99.12% F1-score, a Matthews correlation coefficient (MCC) of 0.98, and a LogLoss of 0.05, with an average processing time of approximately 6 seconds per image.DiscussionThese results underscore the method's ability to combine detailed feature extraction with topological insights, significantly improving the accuracy and efficiency of BT classification. The proposed approach offers a promising tool for more reliable and rapid brain tumor diagnosis.
  • Enhanced Brain Tumor Diagnosis Using Transfer Learning with Vision Transformers and Topological Data Analysis
    Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey
    Procedia Computer Science, 2025
    The development of deep learning in brain tumor diagnosis has evolved due to the demand for effective medical image assessment methods. Early attempts utilizing basic machine learning algorithms and convolutional neural networks (CNNs) faced challenges in accuracy, precision, and stability across various datasets. This paper presents the TransTopoDx system, a novel deep learning architecture designed to enhance brain tumor diagnosis by integrating large datasets with topological data analysis (TDA) and vision transformers (ViTs). ViTs, pre-trained with transfer learning on extensive image databases and fine-tuned on specific brain tumor datasets, serve as feature extractors, significantly improving the model’s capacity to discern tumor characteristics. Additionally, TDA is employed using the Mapper algorithm to identify patterns in imaging data and facilitate classification. The feature extraction process involves two parallel paths for ViTs and TDA, with results merged in a fusion layer to enhance tumor prediction accuracy. To optimize weight tuning and mitigate overfitting, dropout techniques and data augmentation is used. The TransTopoDx system, implemented in Python, achieves an impressive overall accuracy of 99.92%, with a Precision of 99.90% and Recall of 99.87%. The incorporation of transfer learning in ViTs training and TDA is crucial for improving diagnostic efficacy.
  • Self-supervised category selective attention classifier network for diabetic macular edema classification
    Sachin Chavan, Nitin Choubey
    Acta Diabetologica, 2024
  • ADiTi App: Leveraging Deep Learning and Generative AI for a Chatbot Application with Deep Belief Networks
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Multi-Class Classification of Brain Disease using Machine Learning-Deep Learning approaches and Ranking based Similar Image Retrieval from Large Dataset
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
    Sachin Chavan, Nitin Choubey
    Multimedia Tools and Applications, 2023
  • Kidney tumor segmentation: A review
    Rochan Sharma, Nitin Choubey
    Aip Conference Proceedings, 2023
  • A MILP based Optimization and FPGA Implementation of Efficient Polyphase Multirate Filters
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • Making sense of tweets using sentiment analysis on closely related topics
    Sarvesh Bhatnagar, Nitin Choubey
    Social Network Analysis and Mining, 2021
  • Investigation of non-natural information from remote sensing images: A case study approach
    Nadeem Akhtar, Nitin S. Choubey, U. Ragavendran
    Eai Springer Innovations in Communication and Computing, 2019
  • Review on image enhancement techniques using biologically inspired artificial bee colony algorithms and its variants
    Rehan Ahmad, Nitin S. Choubey
    Lecture Notes in Computational Vision and Biomechanics, 2018
  • Hybrid system for handling premature convergence in GA - Case of grammar induction
    Nitin S. Choubey, Madan U. Kharat
    Applied Soft Computing Journal, 2013
  • Approaches for handling premature convergence in CFG induction using GA
    Nitin S. Choubey, Madan U. Kharat
    Advances in Intelligent and Soft Computing, 2011
  • PDA simulator for CFG induction using genetic algorithm
    N.S. Choubey, M.U. Kharat
    Uksim2010 Uksim 12th International Conference on Computer Modelling and Simulation, 2010
  • Stochastic mutation approach for grammar induction using genetic algorithm
    N. S. Choubey, M. U. Kharat
    Icect 2010 Proceedings of the 2010 2nd International Conference on Electronic Computer Technology, 2010

RECENT SCHOLAR PUBLICATIONS

  • Enhancing brain tumor diagnosis: the role of topological features in deep learning approaches
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    Biomedical Signal Processing and Control 114, 109072 , 2026
    2026
    Citations: 2
  • Glaucoma detection and severity classification based on glaucoattent net framework
    S Chavan, N Choubey
    International Journal of Machine Learning and Cybernetics 16 (7), 4849-4878 , 2025
    2025
    Citations: 5
  • Integrating pyramid vision transformer and topological data analysis for brain tumor
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    Frontiers in Computer Science 7, 1463006 , 2025
    2025
    Citations: 1
  • CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    Journal of Computational and Cognitive Engineering 4 (4), 492-512 , 2025
    2025
    Citations: 2
  • Enhanced Brain Tumor Diagnosis Using Transfer Learning with Vision Transformers and Topological Data Analysis
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    Procedia Computer Science 258, 4048-4059 , 2025
    2025
    Citations: 5
  • Self-supervised category selective attention classifier network for diabetic macular edema classification
    S Chavan, N Choubey
    Acta Diabetologica 61 (7), 879-896 , 2024
    2024
    Citations: 2
  • An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
    S Chavan, N Choubey
    Multimedia Tools and Applications 82 (24), 36859-36884 , 2023
    2023
    Citations: 18
  • Kidney tumor segmentation: A review
    R Sharma, N Choubey
    RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY … , 2023
    2023
    Citations: 2
  • Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    arXiv preprint arXiv:2207.13021 , 2022
    2022
    Citations: 4
  • Making sense of tweets using sentiment analysis on closely related topics
    S Bhatnagar, N Choubey
    Social Network Analysis and Mining 11 (1), 44 , 2021
    2021
    Citations: 39
  • Topological Data Analysis-A Novel and Effective Approach for Feature Extraction
    D Joshi, KK Nagwanshi, NS Choubey, MA Joshi, S Pathak
    International Conference on Intelligent Vision and Computing, 500-506 , 2021
    2021
  • Disease Identification System using Image Analysis
    A Kapoor, A Sharma, D Agrawal, M Baury, N Choubey, S Bothe
    Turkish Journal of Computer and Mathematics Education 12 (1S), 115-123 , 2021
    2021
    Citations: 1
  • Voice based disease identification system
    M Bendale, J Soni, G Chhugani, N Sahu, N Choubey, S Bothe
    Turkish Journal of Computer and Mathematics Education 12 (1S), 96-106 , 2021
    2021
    Citations: 4
  • Brain Tumour Diagnosis
    RK Dhananjay Joshi, Nitin Choubey
    Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug … , 2019
    2019
  • Brain tumour diagnosis
    D Joshi, N Choubey, R Kumari
    Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug … , 2019
    2019
    Citations: 2
  • Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach
    N Akhtar, NS Choubey, U Ragavendran
    Computational Intelligence and Sustainable Systems: Intelligence and … , 2018
    2018
    Citations: 5
  • Review on image enhancement techniques using biologically inspired artificial bee colony algorithms and its variants
    R Ahmad, NS Choubey
    Biologically Rationalized Computing Techniques for Image Processing … , 2017
    2017
    Citations: 17
  • Applications of artificial bee colony algorithms and its variants in health care
    R Ahmad, N Akhtar, N Choubey
    Bio-Chemistry: An Indian Journal 11 (1), 110 , 2017
    2017
    Citations: 6
  • Floor layout optimization using Available onl Key words: Genetic Algorithms, Floor planning, Crossover, Mutation, Optimization
    N Choubey
    2017
  • Vibration based elderly fall detection using artificial intelligence: An overview
    P Loharkar, N Choubey
    2016
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Indian Banking in Electronic Era
    SS Kaptan
    Sarup & Sons , 2003
    2003
    Citations: 43
  • Making sense of tweets using sentiment analysis on closely related topics
    S Bhatnagar, N Choubey
    Social Network Analysis and Mining 11 (1), 44 , 2021
    2021
    Citations: 39
  • Moving target travelling salesman problem using genetic algorithm
    NS Choubey
    International Journal of Computer Applications 70 (2) , 2013
    2013
    Citations: 37
  • A novel encoding scheme for traveling tournament problem using genetic algorithm
    NS Choubey
    IJCA Special Issue on Evolutionary Computation 2 (7), 79-82 , 2010
    2010
    Citations: 29
  • Fruit Fly Optimization Algorithm for Travelling Salesperson Problem
    NS Choubey
    International Journal of Computer Application 107 (18), 6 , 2014
    2014
    Citations: 22
  • Approaches for handling premature convergence in CFG induction using GA
    NS Choubey, MU Kharat
    Soft Computing in Industrial Applications, 55-66 , 2011
    2011
    Citations: 22
  • An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
    S Chavan, N Choubey
    Multimedia Tools and Applications 82 (24), 36859-36884 , 2023
    2023
    Citations: 18
  • Sequential structuring element for CFG induction using genetic algorithm
    NS Choubey, MU Kharat
    International Journal of Computer Applications 975, 8887 , 2010
    2010
    Citations: 18
  • Review on image enhancement techniques using biologically inspired artificial bee colony algorithms and its variants
    R Ahmad, NS Choubey
    Biologically Rationalized Computing Techniques for Image Processing … , 2017
    2017
    Citations: 17
  • Developing genetic algorithm library using Java for CFG induction
    NS Choubey, HM Pandey, MU Kharat
    International Journal of Advancement in Technology , 2011
    2011
    Citations: 16
  • Hybrid system for handling premature convergence in GA–Case of grammar induction
    NS Choubey, MU Kharat
    Applied Soft Computing 13 (5), 2923-2931 , 2013
    2013
    Citations: 13
  • A-mazer with genetic algorithm
    NS Choubey
    International Journal of Computer Applications 58 (17) , 2012
    2012
    Citations: 12
  • Grammar induction and genetic algorithms-an overview
    NS Choubey, MU Kharat
    Pacific Journal of Science and Technology 10 (2), 884-888 , 2009
    2009
    Citations: 11
  • PDA simulator for CFG induction using genetic algorithm
    NS Choubey, MU Kharat
    2010 12th International Conference on Computer Modelling and Simulation, 92-97 , 2010
    2010
    Citations: 9
  • Applications of artificial bee colony algorithms and its variants in health care
    R Ahmad, N Akhtar, N Choubey
    Bio-Chemistry: An Indian Journal 11 (1), 110 , 2017
    2017
    Citations: 6
  • Application of soft computing approach for edge detection
    NS Joshi, NS Choubey
    International Journal of Application or Innovation in Engineering … , 2014
    2014
    Citations: 6
  • Stochastic mutation approach for grammar induction using genetic algorithm
    NS Choubey, MU Kharat
    2010 2nd International Conference on Electronic Computer Technology, 142-146 , 2010
    2010
    Citations: 6
  • Glaucoma detection and severity classification based on glaucoattent net framework
    S Chavan, N Choubey
    International Journal of Machine Learning and Cybernetics 16 (7), 4849-4878 , 2025
    2025
    Citations: 5
  • Enhanced Brain Tumor Diagnosis Using Transfer Learning with Vision Transformers and Topological Data Analysis
    D Joshi, BK Singh, KK Nagwanshi, NS Choubey
    Procedia Computer Science 258, 4048-4059 , 2025
    2025
    Citations: 5
  • Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach
    N Akhtar, NS Choubey, U Ragavendran
    Computational Intelligence and Sustainable Systems: Intelligence and … , 2018
    2018
    Citations: 5