My research areas include Machine Learning and its applications. Currently, I am working on Deep Learning techniques applied to the domains of Software Fault prediction, Classification of Images, Disease prediction, Speech Recognition systems. I am also working on Semi-supervised learning techniques.

Orcid Id 0000-0002-0680-2691

Scopus Id 8568745600

Researcher Id IZP-5454-2023

Google Scholar Id ee8lSfIAAAAJ

   
Journal Publications 

1. Subhash Chand Gupta, Vandana Bhattacharjee, Shripal Vijayvargiya, Partha Sarathi Bishnu, Raushan Oraon, and Rajendra Majhi. 2025. "A Robust Semi-Supervised Brain Tumor MRI Classification Network for Data-Constrained Clinical Environments" Diagnostics 15, no. 19: 2485. https://doi.org/10.3390/diagnostics15192485
2. Subhash Chand Gupta, Shripal Vijayvargiya, & Vandana Bhattacharjee (2025). Role of Feature Diversity in the Performance of Hybrid Models—An Investigation of Brain Tumor Classification from Brain MRI Scans. Diagnostics, 15(15), 1863. https://doi.org/10.3390/diagnostics15151863 [SCIE]
3. Shubhojeet Paul, Vandana Bhattacharjee and Sujan Kumar Saha (2025). An End-to-End Continuous Speech Recognition System in Bengali for General and Elderly Domain", SN Computer Science, Accepted for publication [14^th May 2025] [SCOPUS INDEXED]
4. Nandan Tiwari, Shamama Anwar and Vandana Bhattacharjee (2025). EEG Dataset for natural image recognition through Visual Stimuli. Data in Brief, 111639 [ESCI INDEXED]
5. Swetav Suman, Ritesh Jha and Vandana Bhattacharjee (2025). Classification of Brain MRI using Hyper column technique with a Convolutional Neural network and a feature selection method, Journal of Emerging Technologies and Innovative Research (JETIR) April 2025, Volume 12, Issue 4
6. Amrita Sarkar and Vandana Bhattacharjee (2025). A Comparative Study of Accident Black Spot Identification: A Crucial Analysis Using Machine Learning and Statistical Approach. International Journal of Experimental Research and Review, 47, 84-92. DOI: https://doi.org/10.52756/ ijerr.2025.v47.007
7. Amrita Sarkar, Vandana Bhattacharjee, and Prachi Pandey(2025). An Empirical Analysis of Deep Learning Models for Temperature Prediction. International Journal of Experimental Research and Review, 47, 12–24. https://doi.org/10.52756/ijerr.2025.v47.002
8. Madhumita Singha, Mukesh Kumar Shrivastava and Vandana Bhattacharjee(2025). An analysis of code quality metrics applying correlation and regression for identifying bug occurrences, Int Journal of Statistics and  Applied Mathematics, 2025;10(4):25-29. DOI: 10.22271/maths.2025.v10.i4a.2018
9. Vandana Singh, S. K. Sahana and Vandana Bhattacharjee (2025). A novel CNN-GRU-LSTM based deep learning model for accurate traffic prediction. Discover Computing 28, 38 (2025).  https://doi.org/10.1007/s10791-025-09526-0 [SCIE]
10. Shubhojeet Paul, Vandana Bhattacharjee and Sujan Kumar Saha (2025). Towards Development of the First Continuous Speech Recognition System in Indian Language Nagpuri. International Journal of Speech Technology. https://doi.org/10.1007/s10772-025-10180-6 [SCOPUS INDEXED]
11. Shubhojeet Paul, Vandana Bhattacharjee and Sujan Kumar Saha (2025). A Transfer Learning Approach for Continuous Speech Recognition System in Indian Language Sadri. International Journal of Information Technology, 10.1007/s41870-025-02516-x [SCOPUS INDEXED]
12. Vandana Singh, S. K. Sahana and Vandana Bhattacharjee (2024). Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting. Applied. Sciences. 2024, 14, 11477. https://doi.org/ 10.3390/app142411477 [SCIE]
13. P Lokeshwar Reddy and Vandana Bhattacharjee (2024). Effectiveness of Diffusion Models in Zero-Shot Learning, International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f543-f554, November-2024.
14. Kaustav Ghosh and Vandana Bhattacharjee(2024). Lung cancer prediction: A performance analysis of machine learning classifiers. International Journal of Statistics and Applied Mathematics, Vol. 9, Issue 5, Part A, DOI: https://doi.org/10.22271/maths.2024.v9.i5a.1799
15. K. Kouser, A. Priyam,  M. Gupta, S. Kumar and Vandana Bhattacharjee (2024). Genetic Algorithm-Based Optimization of Clustering Algorithms for the Healthy Aging Dataset. Appl. Sci. 2024, 14(13), 5530;  https://doi.org/10.3390/app14135530. https://www.mdpi.com/2076-3417/14/13/5530 [SCIE]
16. Abhishek Gupta, Vandana Bhattacharjee and Aparna U (2024). "Sentiment Analysis Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppe54-e60, June-2024.
17. P Lokeshwar Reddy, Ritesh Jha, V. Bhattacharjee, 2024, Performance of U-Net Based Architecture for Brain Tumor Segmentation: Choice of Backbone, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 13, Issue 06 (June 2024),
18. Kumari Anjali Suman and Vandana Bhattacharjee,”Heart disease Prediction – A Performance analysis of Machine Learning Classifiers”,  Journal of Emerging Technologies and Innovative Research (JETIR) May 2024, Volume 11, Issue 5
19. Shreya Kumari and Vandana Bhattacharjee, "Prediction of overdrawal and under drawal of the electricity 
    through power grid for grid stability using ML", European Journal of Advances in Engineering and Technology, 2024, 11(5):11-17
20. Arunima Asthana, Tanmoy Kumar Banerjee & Vandana Bhattacharjee. “Smart Parking System for Special Community: A Conceptual Framework”. Industrial Engineering Journal. 2024. [UGC Care, ISSN No- 0970-2555]
21. M. Gupta, Kumar rajnish and Vandana Bhattacharjee (2024) Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models
    Multimedia Tools and Applications,  83, 47627–47648 DOI: 10.1007/s11042-023-16788-7  [SCIE]
22. Aparna Shukla, S. Kanungo and Vandana Bhattacharjee (2023), “HFNA: A Hybrid Folding Neighbour Approach to Handle Missing Data”, International Journal of Engineering Research & Technology (IJERT), Vol. 12, Issue 8, August 2023
23. Vandana Bhattacharjee, Ankita Priya and Umesh Prasad (2023) “Evaluating the Performance of Machine Learning Models for Diabetes Prediction with Feature Selection and Missing Values Handling”, International Journal of Microsystems and IoT, Vol. 1, Issue 1, 26 June 2023
24. Vandana Bhattacharjee, Ankita Priya, Nandini Kumari and Shamama Anwar (2023) “DeepCOVNet Model for COVID?19 Detection Using ChestX?Ray Images”, Wireless Personal Communication, https://doi.org/10.1007/s11277-023-10336-0 [SCIE, IF: 2.017]
25. Animesh Mishra, Ritesh Jha and Vandana Bhattacharjee (2023), SSCLNet: A Self-Supervised Contrastive
    Loss-Based Pre-Trained Network for Brain MRI Classification, IEEE ACCESS, Digital Object Identifier 10.1109/ACCESS.2023.3237542
26. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee, Sudip Kumar Sahana (2023),  “Visually evoked brain signals guided image regeneration using GAN variants.”, Multimedia and Tools Application: An International Journal, Springer, ISSN: Print ISSN1380-7501, Online ISSN1573-7721,   https://doi.org/10.1007/s11042-023-14769-4  [SCIE, IF: 2.577]
27. Kamta Nath Mishra, Vandana Bhattacharjee,Shashwat Saket and Shivam Prakash Mishra (2022), Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach, Cluster Computing - The Journal of Networks, Software Tools and Applications,
    https://doi.org/10.1007/s10586-022-03813-x, [SCIE]
28. V Singh, SK Sahana, V Bhattacharjee (2022), Nature-Inspired Cloud–Crowd Computing for Intelligent Transportation System, Sustainability 14 (23), 16322, [SCIE]
29. M. Gupta, K. Rajnish, V. Bhattacharjee (2022), “Cognitive Complexity and Graph Convolutional Approach over Control Flow Graph for Software Defect Prediction”, Published 12^th  October, 2022, IEEE Access, [SCIE]
30. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022), “A comparative analysis of Machine and Deep learning techniques for EEG evoked Emotion classification.”, Wireless Personal Communication, https://doi.org/10.1007/s11277-022-10076-7. [SCIE, IF: 2.017]
31. Ritesh Jha, Vandana Bhattacharjee, and Abhijit Mustafi, Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data, Scientific Programming, Hindawi, Volume 2022, Article ID 4983174 | https://doi.org/10.1155/2022/49831742022  [SCIE, IF 1.672]
32. Rashmik Manchiraju and Vandana Bhattacharjee, A Machine Learning Approach to Diabetes Prediction with Feature Selection, International Journal of Engineering Research & Technology (IJERT) Volume 11, Issue 7, July  2022
33. Ritesh Jha, Vandana Bhattacharjee, Abhijit Mustafi and S. K. Sahana, Improved Disease Diagnosis System for COVID-19 with Data Refactoring and Handling methods, Frontiers in Psychology, Elsevier, doi: 10.3389/fpsyg.2022.951027.,2022 [SCIE, IF 4.232]
34. Umang Gupta, Vandana Bhattacherjee, Partha Sarathi Bishnu, StockNet—GRU based stock index prediction, Expert Systems with Applications, 2022, 117986, ISSN 0957-4174,
    https://doi.org/10.1016/j.eswa.2022.117986 (Online on 30 June 2022)[SCIE Indexed, IF 8.665]
35. Kumar Rajnish and Vandana Bhattacharjee (2022) ”A Cognitive and Neural Network Approach for Software Defect Prediction”, Journal of Intelligent & Fuzzy Systems, September 2022 [SCIE Indexed]
36. KamtaNath Mishra, Vandana Bhattacharjee, Shashwat Saket and Shivam P. Mishra (2022) “Cloud and Big Data Security System’s Review Principles: A Decisive Investigation”, Wireless Personal Communications https://doi.org/10.1007/s11277-022-09781-0 [SCIE Indexed, IF 2.017]
37. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). “Time series dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet”, Neural Computing and Applications, Special Issue for Deep Learning in Time-series data, Vol. 43, Issue 4, Online ISSN: 1433-3058, Print ISSN: 0941-0643 https://doi.org/10.1007/s00521-022-06942-x [SCIE, IF:5.606]
38. Nandini Kumari, Shamama Anwar, Vandana Bhattacarjee (2022). “A Deep Learning based approach for accurate diagnosis of Alcohol usage severity using EEG signal”, IETE Journal of Research. ISSN: Print ISSN: 0377-2063 Online ISSN: 0974-780X, https://doi.org/10.1080/03772063.2022.2038705  [SCIE, IF: 2.333]
39. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). “Automated Visual Stimuli Evoked Multi-channel EEG Signal Classification Using EEGCapsNet “, Pattern Recognition Letters, Elsevier, Vol. 153, pp. 29 – 35, ISSN: 0167-8655 , doi: https://doi.org/10.1016/j.patrec.2021.11.019  [SCI, IF: 3.756]
40. Vandana Bhattacharjee, Raj Sahu, Amit Dutta (2021). "Enhanced graph representations for graph convolutional network models”, Multimedia Tools and Applications, Springer (Accepted 23^rd December 2021) [SCIE Indexed IF 2.757]
41. Ritesh Jha, Vandana Bhattacharjee, Abhijit Mustafi (2021) “Increasing the Prediction Accuracy for Thyroid Disease: A Step Towards Better Health for Society”, Wireless Personal Communications, August 2021  [SCIE Indexed IF 2.017]
42. M. Gupta, K. Rajnish, V. Bhattacharjee (2021) Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults, Scientific Programming 2021(3):1-17, June 2021 [SCIE Indexed IF 1.672]
43. Somya Singh, Aditi Sneh and Vandana Bhattacharjee, A Detailed Analysis of Applying the K Nearest Neighbour Algorithm for Detection of Breast Cancer, International Journal of Theoretical & Applied Sciences, 13(1): 73-78(2021)
44. Sonal Kumari and Vandana Bhattacharjee (2021) An In Depth Experimentation With Classifiers For Prediction Of Diabetes, International Journal of Engineering Sciences & Research Technology, Vol. 10, Issue 6, June 2021, pp. 28-33 
45. Charu Wahi, Shampa Chakraverty and Vandana Bhattacharjee (2021) A Trust-Based Secure AODV Routing Scheme for MANET, International Journal of Ad Hoc and Ubiquitous Computing, Vol. 34, No. 4 [SCIE Indexed]
46. Umang Gupta, Vandana Bhattacherjee, Partha Sarathi Bishnu (2020) Clustering on Ranked Data for Campaign Selection, 2020, IEEE Access [SCIE Indexed]
47. Umang Gupta, Vandana Bhattacherjee, Partha Sarathi Bishnu (2020), Outlier Detection in Wireless Sensor Networks Based on Neighbourhood, Wireless Personal Communications, August 2020, https://doi.org/10.1007/s11277-020-07722-3  [SCIE Indexed IF 2.017]
48. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2020) Correlation and Relief Attribute Rank-based Feature Selection Methods for Detection of Alcoholic Disorder Using Electroencephalogram Signals, IETE Journal of Research, 1-13, June 2020 [SCIE Indexed]
49. Vandana Singh, Vandana Bhattacharjee, C. Jeganathan and Nidhi Bhattacherjee (2020) Land Cover Classification using Machine Learning Techniques - A Survey, International Journal of Engineering Research & Technology, Vol. 9, Issue 6, June 2020
50. A BIG DATA ARCHITECTURE FOR HEALTHCARE, International Journal of Engineering Sciences & Research Technology, Vol. 9, Issue 4, April 2020(Co-authored with Nidhi Bhattacherjee and Dr. Debjani Mustafi)
51. Ritesh Jha, Vandana Bhattacharjee, Abhijit Mustafi  (2020) IoT in Healthcare: A Big Data Perspective, Smart Healthcare Analytics in IoT Enabled Environment, 201-211, February 2020 
52. S. Roy, P. Pranav and Vandana Bhattacharjee (2020) Securing the Internet of Things: Current and Future State of the Art, Smart Healthcare Analytics in IoT Enabled Environment, 227-246, February 2020 (Co-authored with S. Roy and P. Pranav)
53. Charu Wahi, Shampa Chakraverty and Vandana Bhattacharjee (2019) Current Taxonomy of Trust based Secure Routing in MANETs, Jour of Adv Research in Dynamical & Control Systems, Vol. 11, 04-Special Issue, 2019  [SCOPUS INDEXED]
54. Atish Chowdhury and Vandana Bhattacharjee (2018) An efficient method for brain tumor detection and categorization using MRI images by K-means clustering & DWT,  International Journal of Information Technology, Springer DOI:10.1007/s41870-018-0255-4, 2018,  [SCOPUS Indexed]
55. B.K. Sharma, V. Gautam, S. P. Tiwari and Vandana Bhattacharjee (2017) On fuzzy multiset regular languages, Journal of Fuzzy Set Valued Analysis 2017 (1), 50-61  
56. Software cost estimation based on modified K-Modes Clustering Algorithm ,Natural Computing, SpringerLink, 10.1007/s11047-015-9492- ISSN: 1567-7818 (Print) 1572-9796, 2016 (Online)(co-authored with Dr. P. S. Bishnu)[SCIE Indexed]
57. Hierarchical Clustering of students’ software project development technique: Local Vs. Global Approach International Journal of Engineering and Technology(IJET), Scopus. Volume 7, Issue 4, pp. 1262-1269, Aug-Sep 2015.  SSN: 0975-4024 (co-authored with P. Srivastava and M.Pandey) [SCOPUS Indexed]
58. Fuzzy Logic based grading system for student project using quality attribute International Journal of Engineering and Technology(IJET),  Volume 7, Issue 4, pp. 1304-1308, Aug-Sep 2015. ISSN: 0975-4024 (co-authored with M.Pandey and P. Srivastava) [SCOPUS Indexed]
59. Framework of Quality Models for Effective Prediction of Fail – Safe Shaft Design Jharkhand Journal of Development  & Management Studies, XISS – Ranchi,   Vol.: 13, No.: 2, June, 2015, pp.: 6469 – 6477 co-authored with  Aakash Bhattacherjee and P.S.Bishnu) [UGC Approved Journal]
60. Hierarchical Clustering based framework for evaluation of students’ behavior Jharkhand Journal of Development and Management Studies(JJDMS), ISSN 0973-8444, April-June 2015, 13(4) (co-authored with P. Srivastava and M.Pandey) [UGC Approved Journal]
61. Neural Network Classification of Knowledge level of students Jharkhand Journal of Development and Management Studies(JJDMS), ISSN 0973-8444, April-June 2015, 13(4) (co-authored with M.Pandey and P. Srivastava) [UGC Approved Journal]
62. SiCaL: a swarm inspired congestion aware probabilistically load balance routing in MANETs. International of Information and Communication Technology(IJICT). Inderscience Publisher, Vol. 7, No. 6, 2015, pp 585-606. (with S.Joardar and D.Giri) [SCOPUS Indexed]
63. Fuzzy Rule Based Classifier for Software Quality Data Journal of Theoretical and Applied Information Technology(JATIT),Vol 72,No 1,pp.58-66,Feb 2015, ISSN :1992-8645 (with Jaya pal) [SCOPUS Indexed]
64. A New Measure of Code Complexity During Software Evolution ‘A Case Study’ International Journal of Multimedia and Ubiquitous Engineering Vol. 9, No. 7 (2014), pp. 403-414 http://dx.doi.org/10.14257/ijmue.2014.9.7.34 (with V. Singh) [SCOPUS Indexed]
65. Assessing Package Reusability in Object-Oriented Design International Journal of Software Engineering and Its Applications (IJSEIA), Vol.8, No.4 (2014) pp. 75-84.  tp://dx.doi.org/10.14257/ijseia.2014.8.4.09 (with                     V. Singh) [SCOPUS Indexed]
66. Hierarchical Cluster Generation for Software Quality: A Comparative Approach International Journal of Engineering and Technology (IJET), Vol 6, No 4,pp. 1827- 1839  Aug-Sep 2014, ISSN : 0975-4024. (with Jaya pal)[SCOPUS Indexed]
67. Volume Based Clustering for Arbitrary Shaped Clusters International Journal of Computational Vision and Robotics. 2013 (co-authored with Mr. P. S. Bishnu)  
68. Factors Influencing Software Development Models: A Statistical Outlook. International Journal of Software Engineering and Its Application (IJSEIA), ISSN: 1738-9984, November 2013.(co-authored with Dr. S. Chakraborty and Madhumita S. Neogi
69. Software effort prediction – A Fuzzy logic Approach, Global journal of Computer Science and Technology, Vol. 13, Issue 10, pp. 9-14 September 2013 (co-authored with Sanjay Kumar and Jaya Pal)
70. A new Complete Class Complexity Metric International Journal of Soft Computing and Software Engineering   [JSCSE], Vol. 3, No. 9, pp. 1-9, Sept. 2013, Doi: 10.7321/jscse.v3.n9.1., Indexing: [DBLP, Sciverse (Elsevier)], ISSN: 2251-7545 (co-authored with V. Singh)
71. Identifying Coupling Metrics And Impact on Software Quality International Journal of Engineering and Technology “ Volume 5 Number 4 August-September 2013. PP  3433 – 3438. ( ISSN – 0975-4024) (co-authored with V. Singh) [SCOPUS Indexed]
72. Analytical Evaluation of Class Complexity Metric International Journal of Advance Research in Computer Science and   Software Engineering Volume 3 Issue 6 June 2013 (co-authored with V. Singh and Kunj Bihari Jarika)
73. Pair Programming “Potential Benefits and Threats International Journal of Advanced Computer Research (IJACR), Vol.-3 No.-1 Issue-8 March 2013, ISSN (print): 2249-7277 ISSN (online): 2277-7970 (co-authored with S. Gupta and Madhumita S. Neogi)
74. Evaluation and Application of Package Level Metrics in Assessing Software Quality. International Journal of Computer Applications 58(21):38-46, November 2012. Published by Foundation of Computer Science, New York, USA (co-authored with Mr. V. Singh)
75. Software Quality Estimation using Machine Learning: Case-based Reasoning Technique International Journal of Computer Applications 58(14):43-48, November 2012. Published by Foundation of Computer Science, New York, USA (co-authored with Mr. E. Rashid and Dr. S. Patnaik)
76. A Survey in the Area of Machine Learning and Its Application for Software Quality Prediction ACM SigSoft Software Engineering Notes Volume 37 Issue 5, September 2012 (co-authored with Mr. E. Rashid and Dr. S. Patnaik)  
77. A Swarm Inspired Multipath Data Transmission with Congestion Control in MANETs using Probabilistic Approach International Journal of Wireless & Mobile Networks (IJWMN), ISSN: 0975-3834, Volume 4, Number 4, pp109-121, August 2012. (co-authored with S. Joardar and Dr. D. Giri)
78. Modeling the Response to Questionnaire in Software Development: Multinomial or quasimultinomial? International Journal on Computational Sciences & Applications (IJCSA) Vo2, No.4, August 2012 (co-authored with Dr. S. Chakraborty and Madhumita S. Neogi)
79. Factors Affecting the Choice of Software Life Cycle Models in the Software Industry-An Empirical Study, Journal of Computer Science, 8.8 (2012): 1253. (co-authored with M. S. Neogi and R. Mahanti). 
80. The Application of Case-Based Reasoning to Estimation of Software Development Effort International Journal of Computer Science and Informatics (IJCSI) ISSN (PRINT): 2231 –5292, Vol 1 Issue 3 (2012) of IOAJ Journals.(co-authored with Mr. E. Rashid and Dr. S. Patnaik)
81. Strategies Towards Improving Software Code Quality in Computing International Journal of Engineering Research and applications(IJERA) ISSN (Online): 2248-9622, Vol 2 Issue 3, (2012), pp 2253-2258. (co-authored with Mr. E. Rashid and Dr. S. Patnaik
82. Software Fault Prediction using Quad Tree based K-Means Clustering Algorithm,IEEE Transactions on Knowledge and Data Engineering, vol 24, No. 6, pp- 1146- 1150, 2012. (co-authored with Mr. P. S. Bishnu)[SCI Indexed]
83. An analysis of Dependency of Coupling on Software Defects ACM SIGSOFT Software Engineering Notes, Vol. 37, No. 1, January 2012 (co-authored with Mr. V. Singh)
84. Detection of Indirect Coupling using Chaining Method and its Impact on Software Quality International Journal of Research and Reviews in Information Sciences, Vol. 1, No.  4, December 2011 (co-authored with Mr. V. Singh)
85. Pair vs Solo Programming: Students’ Perceptions International Journal of Computer Science and Information Technologies, Vol. 2    (3), 2011 {ISSN: 0975-9656} (co-authored with Ms. Madhumita S. Neogi)
86. Predicting the Early Stage Software Development Effort using Mamdani FIS International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 2 (4), 1675-1678, 2011. ISSN: 0975-9646 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
87. Appication of K-Medoids with Kd-Tree for Software Fault Prediction ACM SIGSOFT Software Engineering Notes, March 2011 (co-authored with Mr. P. S. Bishnu)
88. A Proposed Novel Framework for Early Effort Estimation using Fuzzy Logic Techniques Global Journal of Computer Science and Technology (USA) Print ISSN 0975-4350 Online ISSN 0975-4172, Vol. 10 Issue 14 (Ver. 1.0) , P a g e | 75 – 81, November 2010 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
89. Applying Fuzzy Clustering to predict Software usability International Journal of Applied Research on Information Technology and Computing (IJARITAC), September - December 2010, Vol. 1 Issue 3, pp. 279 – 289 (Indianjournals.com) (co-authored with Ms. Jaya Pal) http://dx.doi.org/10.5958/j.0975-8070.1.3.019
90. A Study on Pair Programming and Early Testing Skills of Students, International Journal of Applied Research on Information Technology and Computing (IJARITAC), May - August 2010, Vol. 1 Issue 2, pp. 224-232 (Indianjournals.com) (co-authored with M. S. Neogi and R. Mahanti. http://dx.doi.org/ 10.5958/j.0975-8070.1.2.017
91. Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach, International Journal of Engineering Science and Technology, ISSN: 0975–5472, Vol. 2(7), 2950-2956, 2010. (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
92. Software Cost Estimation Methods – A Review International Journal Of Computer Applications In Engineering, Technology and Sciences (IJ-CA-ETS) ISSN: 0974-3596, April ’10 – Sept ’10, Volume 2 : Issue 2  pp. 146-152, 2010 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
93. Software Effort Estimation Using Feed Forward Backpropagation Neural Network (IJDW) International Journal of Data Warehousing ISSN: 0975-6124, Volume 2, Number 1, pp. 53-58, June 2011 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)[UGC  Approved Journal]
94. Evaluating the Effectiveness of VOSDM: A Vision Oriented Approach ACM SIGSOFT Software Engineering Notes, Vol. 35. Issue 2, March 2010 (co-authored with Ms. Madhumita S. Neogi)
95. Gravitational Based Hierarchical Clustering Algorithm International Journal of Recent Trends in Engineering (Computer Science), Vol. 3, No. 2, pp. 18 – 20, 2010 (co-authored with Mr. P. S. Bishnu)
96. CTVN: Clustering Technique Using Voronoi Diagram International Journal of Recent Trends in Engineering (Computer Science), Vol. 2, No. 1-6,  pp. 13-15 (co-authored with Mr. P. S. Bishnu)
97. Complexity Metric for Analogy Based Effort Estimation International Journal of Theoretical and Applied Information Technology (JATIT), Asian Research Publication Network, Islamabad, Pakistan, Vol. 6, No. 1, pp. 001 - 008, July, 2009 (co - authored with Dr. P. K. Mahanti and S. Kumar)[SCOPUS Indexed]
98. Software Development Patterns of Students: An Experience National Journal NJSIT, {ISSN: 0974-3308}, Vol. 2, No.1, June 2009, pp. 15 – 21 (co – authored with M. S. Neogi and Dr. R. Mahanti) 
99. A Process Model for Software Development amongst Students International Journal of Recent Trends in Engineering (Computer Science), {ISSN: 1797-9617} Vol. 1, No. 2, May 2009, pp. 69-74 (with M. S. Neogi and R. Mahanti)        
100. Class Inheritance Metric – An Empirical and Analytical Approach Accepted for publication in INFOCOMP – Journal of Computer Science, {ISSN: 1807-4545} Vol. 7, No. 3, pp. 25-34, September 2008. (co – authored with Kumar Rajnish)
101. Software Testing - A Graph Theoretic Approach  International Journal of Information & Communication Technology, IJICT, Inderscience Publishers, Vol. 1, No. 1, 2007, pp. 14 – 25 (co – authored with Dr. D. Suri and Dr. P. K. Mahanti)[SCOPUS Indexed]
102. Class Cohesion: An Empirical and Analytical Approach, International Journal of Science and Research (IJSR), Victoria, Australia, Vol. 2, No. 1, pp. 53 - 62, 2007 (co - authored with Kumar Rajnish)
103. Class Inheritance Metrics and Development Time: A Study International Journal PCTE Journal of Computer Sciences, Vol. 2, Issue No. 2, July – December, 2006, pp. 22 - 28 (co - authored with Kumar Rajnish)
104. Complexity of Class and Development Time: A study International Journal of Theoretical and Applied Information Technology (JATIT), Asian Research Publication Network, Islamabad, Pakistan, Vol. 3, No. 1, pp. 63 - 70, June – December, 2006 (co - authored with Kumar Rajnish)[SCOPUS Indexed]
105. Object Oriented Database Management System International Journal PCTE Journal of Computer Sciences Vol.2, Issue No.1, Jan. - June, 2006 (Also Presented at ICCII 2005, Ludhiana, India ) (co – authored with S. Shalini)    
106. Application of Regular Matrix theory to Software Testing, European Journal of Scientific Research, Volume 12, No. 1, pp. 60 – 70, December 2005 (co – authored with Dr. Deepti Suri and Dr. Prabhat Kumar Mahanti)[SCOPUS Indexed]
107. Air Pollution from Industrial Stacks – Meteorological Factors Indian Foundry Journal (Vol. 39, No. 9, pp. 39 – 42,2003) (co – authored with R. Mahanti and Dr. S. K. Mukherjee)
108. Environmental Pollution by a Foundry – A Simulation and Modeling Approach Foundry Magazine (Vol. XV, No. 4, pp. 43 – 47, 2003)  (co – authored with R. Mahanti and Dr. S. K. Mukherjee)                                                       
109. A Graph - Theoretic Proof of Arrow's Dictator Theorem    Applied Mathematics Letters (Vol. 5, No. 6, pp. 61 - 62, 1992) (co – authored with Prof. K. K. Nambiar and Pramod K. Varma)https://doi.org/10.1016/0893-9659(92)90015-2 [SCI Indexed]
110. An Axiomatic Definition of Shannon's Entropy  Applied Mathematics Letters (Vol. 5, No. 4, pp. 45 - 46, 1992) (co – authored with Prof. K. K. Nambiar and Pramod K. Varma) DOI: 10.1016/0893-9659(92)90084-M [SCI Indexed]

Conference Publications

1. Akshay Gupta Narsina, Daksh Begani and Vandana Bhattacharjee, Exploring Latent Spaces for Generating Challenging Datasets using Variational Autoencoders, 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) | 979-8-3315-2169-1/25/$31.00 ©2025 IEEE | DOI: 10.1109/IATMSI64286.2025.10985261
2. Ritesh Jha, Manish Khirwal and Vandana Bhattacharjee, Feature Vector Learning for Images with Pretrained Models,  First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC),24-25 October 2024.  DOI: 10.1109/ICICEC62498.2024
3. Harshit Aditya, Anchita Ramani, Nilesh Kumar, Kasturi and Vandana Bhattacharjee, PneumonXNet - A deep learning model for pneumonia detection, 2024 International Conference on Signal Processing and Advance Research in Computing (SPARC), September 2024, DOI: 10.1109/SPARC61891.2024.10829021
4. Nilesh Kumar, Kasturi, Harshit Aditya, Anchita Ramani, Vandana Bhattacharjee and Sayantani Roy, “DDConvNet:  A Deep Learning Approach for Driver Drowsiness Detection”, Presented in International Conference on Innovations in Computing and Applications (ICICA-24), May 2024, Jaipur, AIP Conf. Proc. 3253, 030025 (2025) https://doi.org/10.1063/5.0248451
5. Vandana Singh, Sudip Kumar Sahana and Vandana Bhattacharjee, Graph convolutional neural networks for traffic forecasting and prediction: A review, Presented in ICMIA 2023, AIP Conf. Proc. 3164, 040003 (2024) https://doi.org/10.1063/5.0214616 
6. Sonu Kumar Suman, Vivek Singh, Umesh Prasad, Soumitro Chakravarty and Vandana Bhattacharjee, IoT-enhanced machine learning for precise crop disease detection and sustainable agriculture, Presented in ICMIA 2023, AIP Conf. Proc. 3164, 040005 (2024) https://doi.org/10.1063/5.0215260
7. Astha Kumari, Sai Aditi Verma, Eshika Singh, Alokit Charles Toppo, Shubhojeet Paul and Vandana Bhattacharjee, An end-to-end deep learning based continuous speech recognition in Kannada, Presented in ICMIA 2023, AIP Conf. Proc. 3164, 050001 (2024) https://doi.org/10.1063/5.0214118
8. Diya Mondal; Chris Calvin Demta; Vandana Bhattacharjee, Application of GANs for generation of handwritten digits and letters,  Presented in ICMIA 2023, AIP Conf. Proc. 3164, 050002 (2024) https://doi.org/10.1063/5.0214193
9. Shubhojeet Paul, Vandana Bhattacharjee and Sujan Kumar Saha, Kannada Continuous Speech Recognition Using Deep Learning. In: Verma, A., Verma, P., Pattanaik, K.K., Dhurandher, S.K., Woungang, I. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2023. Communications in Computer and Information Science, vol 2093. Springer, Cham. https://doi.org/10.1007/978-3-031-64067-4_17, December 2023, BHU Varanasi.
10. Ashok Ramavath, Vandana Bhattacharjee and Sanjay Kumar, “Prediction of a Football Team Rating Using Machine learning Regression Algorithms”, Presented in 3^rd International Conference on Machine Learning and Information Processing, Usha Martin University, Ranchi, February 25-26, 2023. In: AIP Proceedings, Volume 2981, Issue 1, 11 December 2023
11. Anuradha Sharma, Anjali Sharma and V. Bhattacharjee, "Breast Cancer Prediction: Impact of Stratified Sampling Approach on Classifier Accuracy," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 1076-1078, doi: 10.1109/AISC56616.2023.10084954.
12. Animesh Mishra and Vandana Bhattacharjee, "Applying Semi-Supervised learning on Human Activity Recognition Data," 2022 International Conference on IoT and Blockchain Technology (ICIBT), 2022, pp. 1-6, doi: 10.1109/ICIBT52874.2022.9807808.
13. Shubhojeet Paul, Sujan Kumar Saha and Vandana Bhattacharjee. 2022. A Deep Learning based system for Continuous Speech Recognition in Hindi for Healthcare Domain. 7th International Conference on Emerging Applications of Information Technology (EAIT 2022). Kolkata, March 29-31, 2022, pp. 3-11.
14. Shashwat Saket, Shivam P Mishra, Vandana Bhattacharjee, Kamta Nath Mishra. (2022). Travelling Guidance Using ACO and HBMO Techniques in COVID-19 Pandemics: A Novel Approach, 7th International Conference on Emerging Applications of Information Technology (EAIT 2022). Kolkata, March 29-31, 2022, pp. 467-483.
15. M. Gupta, K. Rajnish and V. Bhattacharjee, “ Effectiveness of Ensemble classifier over State-of-art machine learning classifiers for predicting software faults in software modules”,  Third International conference on Machine Learning, Image Processing, Network security and Data Science (MIND-2021) to be organized during 11th - 12th December 2021 at NIT Raipur India.
16. K.Rajnish, V. Bhattacharjee and N. Priyadarshini, “ A Neural network approach for sentiment Analysis”, Accepted in 6th International Conference on Microelectronics, Computing & Communication Systems(MCCS-2021) on 17-18th July 2021 at ARTTC, BSNL near Jumar River Bridge, Hazaribag Road, Ranchi.
17. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2021), “DCGAN based pre-trained model for Image reconstruction using Image Net”, IEEE 7th International Conference on Biosignals, Imagee and Instrumentation, pp. 1- 6, IEEE, 25-27 March, 2021 at, SSNCE, Chennai,  doi: 10.1109/ICBSII51839.2021.9445128.
18. Kumar Rajnish, Vandana Bhattacharjee and Vishnu Chandrabanshi, Applying Cognitive and Neural Network Approach over Control Flow Graph for Software Defect Prediction, In 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) (IC3’21), August 05-07, 2021, Noida, India, ACM, Newyork, USA, ISBN: 978-1-4503-8920-4/21/08, https://doi.org/10.1145/3474124.3474127.
19. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2020), “Convolutional Neural Network based visually evoked EEG classification model on MindBigData”, International Conference on Research and Applications in Artificial Intelligence, 19-20 December, 2020 at RCC Institute of Information Technology, Kolkata, Advances in Intelligent Systems and Computing, vol. 1355, pp. 233-241, Springer.https://doi.org/10.1007/978-981-16-1543-6_22
20. Gupta U., Bhattacharjee V., Bishnu P.S. (2019) A New Neighborhood-Based Outlier Detection Technique. In: Nath V., Mandal J. (eds) Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems. Lecture Notes in Electrical Engineering, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-13-7091-5_43
21. " K-NN classification for Large dataset in  Hadoop  Framework " 4th International  Conference on Nano-electronics, Circuits &  Communication Systems      (NCCS-2018) ARTTC BSNL Ranchi (Co-authored with Ritesh Jha, Dr. I. Mukherjee and V. Singh)
22.  “A Takagi-Sugeno based Fuzzy Inference System for Predicting electrical output in a combined cycle power plant”, 4th  International Conference on Nanoelectronics Circuits & Communication Systems (NCCS), 3 – 4th  November, 2018, Advanced Regional Telecom Training Centre, Ranchi (Co-authored with Nandini Kumari and Dr. Shamama Anwar)
23.  Analysis of Complete- Link Clustering for Identifying Multi- attributes  Software Data, Proceedings of AMLTA 2018: The International Conference on, Advanced Machine Learning Technologies and Applications, Egypt, February 2018 (with  Jaya Pal)
24. K-Means Algorithm to Identify k1-Most Demanding Products In proceedings of PreMi 2017, ISI Kolkata (co-authored with Ritesh Kumar and P. S. Bishnu)
25. Intrusion Detection System using Outlier Analysis In proceedings of ICEMIT 2017, Ranchi, 23-24 December 2017 (co-authored with Shikha Gupta)
26. Brain Tumor Detection Using MRI images By K – means Clustering Technique In proceedings of ICEMIT 2017, Ranchi, 23-24 December 2017 (co-authored with Atish)
27. Framework of Quality Models for Effective Prediction of Fail – Safe Shaft Design Presented during XAVIT – 2014, XISS, Ranchi (October 2014) (co-authored with Aakash Bhattacherjee and P.S.Bishnu)
28.  Hierarchical Clustering based framework for evaluation of students’ behavior  Presented during XAVIT – 2014, XISS, Ranchi (October 2014)   (co-authored with P. Srivastava and M.Pandey) 
29. Neural Network Classification of Knowledge level of students Presented during XAVIT – 2014, XISS, Ranchi (October 2014) (co-authored with M.Pandey and P. Srivastava)
30. A Review of Weyuker’s Property 9 and An Exception to Polymorphic Dispatches International Conference on Software Engineering. Thiagarajar College of Engineering, Madurai. August 19, 20 2013. (co-authored with V. Singh)
31. A New Modified K-Modes Clustering Algorithm 5th International conference on Pattern Recognition and Machine Intelligence, December 10-14 2013, ISI Kolkata. (co-authored with P. S. Bishnu)
32. Entropy-based fuzzy clustering: A Comparison Second International Conference on Computing and Systems-2013(ICCS-2013),Burdwan University, West Bengal, September   21-22, 2013.
33. Probabilistic Approach Based Congestion Aware Swarm Inspired Load Balancing Multipath Data Routing in MANETs
34. International Conference on Advanced Computing , Networking and Informatics (ICACNI 2013) June 2013,  Proceeding will be published in Advances in Intelligent and Soft Computing, Springer-Verlag. (co-authored with S. Joardar and Dr. D. Giri)
35. A Swarm inspired Probabilistic Path Selection with Congestion Control in MANETs In Proceedings of second international conference on Computer Science, Engineering and Application, (WIMOA 2012), Springer-Verlag, Vol.167, pp 617-626, Delhi (co-authored with S. Joardar and Dr. D. Giri)
36. Application of fuzzy clustering on software quality using max – min method International conference on Communication,Computing & Security (ICCCS 2012), NIT, Rourkela,  October 6-8, 2012 (co-authored with Ms. J. Pal)
37. A Swarm Inspired Probabilistic Path Selection with Congestion Control in MANETs  Advances in Intelligent Systems and Computing Volume 167, 2012, pp 617-626 (co-authored with with S. Joardar and D. Giri)
38. Dimension Reduction Techniques for K-Means Algorithm Proceedings of International Conference on Recent Advances on Information Technology (RAIT 2012), March 15-17, 2012, ISM Dhanbad (co-authored with Mr. P. S. Bishnu)
39. Selection of defuzzification method for predicting the Early Stage Software Development Effort using Mamdani FIS International Conference on Computational Intelligence and Information Technology (CIIT- 2011), 7-8 November 2011, Pune (proceedings by Springer, LNCS-CCIS and available in Springer digital library) (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
40. Hidden Coupling and Its Impact on Software Reliability: An Analysis In Proceedings 3rd International Conference on Future Computer and Communication, ICFCC 2011, June 3-5, 2011, Romania (co-authored with Dr. P. K. Mahanti, Musbah M. Aqel and Vinay Singh)
41. Comparing Some Neural Network Models for Software Development Effort Prediction National Conference on Emerging Trends and Applications in Computer Science - 2011 (NCETACS - 2011) 4-5 March 011,Shillong Print ISBN: 978-1-4244-9578-8, (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose) 
42. Software Fault Prediction using K-Medoids Algorithm Proceedings of International Congress on Productivity, Quality, Reliability, Optimization and Modeling, ICPQROM 2011, ISI Delhi, February 2011, pp. 191 (co-authored with Mr. P. S. Bishnu)
43. Software Effort Prediction – A Fuzzy Logic Approach Proceedings of  ACCT 2011, Rohtak, January 2011 (co-authored with Mr. S. Kumar and Ms. J. Pal)
44. A Comparative Evaluation of Feed Forward Back Propagation Neural Network Model trained with different Transfer Functions for the Software Development Effort Estimation First International Conference on  Computer Applications (ICCA) ’10 held in Pondicherry from 24-27 December 2010 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
45. TEMPOS Based Humidity Sensor: Neural Network Approach Proceedings of International Conference on Next Generation Communiaction and Computing Systems, December 25-26, 2010, Chandigarh, India, pp.  306 – 311 (co-authored with Dr. (Mrs.) Mamta Sharma)
46. Reduction of Redundancy by Identifying Hidden Coupling Proceedings of International Conference on Next Generation Communiaction and Computing Systems, December 25-26, 2010, Chandigarh, India, pp. 89 - 91 (co-authored with Vinay Singh) 
47. Movie Analyzer using Fuzzy Rule Based System Proceedings of International conference on Computing and Systems, ICCS 2010, November 2010, Burdwan, India, pp. 16-21 (co-authored with J. Pal)
48. Software Project Development Effort Estimations using Feed Forward Back Propagation Neural Network National Conference on Emerging Trends and Applications in Computer Science - 2010 (NCETACS - 2010) organised by the Department of Computer Science, St. Anthony's College, Shillong, Meghalaya - 793001 from April 9-10, 2010, pp 110 -113 (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
49. A Fuzzy Logic based Model for Software Development Time Estimation Proceedings of CECT 2010, RBIEBT, Mohali, Punjab, April 2010 (co-authored with Ms. Nimisha Viraj)
50. A New Density Based Clustering With Different Local Densities Proceedings of ICDM 2010, IMT Ghaziabad, March 2010,  pp. 164 – 171 (co-authored with Mr. P. S. Bishnu)
51. A New Shape Based Clustering for Arbitrary Shaped Cluster Proceedings of HPCA 2010, BHU, Varanasi, Feb 2010 (co-authored with Mr. P. S. Bishnu and R. Sharma) \
52.  VOSDM: Agile View for Budding IT professional Proceedings of International Conference on Business and IT: Contemporary Research and Development, ICBIRD 2010, IMT, Ghaziabad, 25-26, Feb. 2010.(co-authored with Ms. Madhumita  S. Neogi and Dr. Rupa Mahanti)
53. Unsupervised Learning Approach to Fault Prediction in Software Module Proceedings of NCCS 2010, Burdwan, January 2010,  pp. 101 - 108 (co-authored with Mr. P. S. Bishnu)
54. Software Development Time Estimation Using Fuzzy Logic Presented at TECHTATVA 2009, Manipal Institute of Technology, Karnataka, September 2009 (co-authored with Ms. Nimisha Viraj)
55. A Fuzzy Logic System for Software Quality Estimation Proceedings of International Conference on Information Technology ICIT 2009, Bhubaneswar, Dec. 21 – 24, 2009, (co-authored with Ms. J. Pal)
56. Divide and Conquer Based Clustering Using K Means Algorithm Proceedings of Conference on Information Science Technology and Management (CISTM) 2009, MDI, Gurgaon (co-authored with P. S. Bishnu).
57. Ant-based TCP congestion avoidance mechanism over mobile Ad-Hoc network’s Proceedings of Conference on Information Science Technology and Management (CISTM) 2009, MDI, Gurgaon (co-authored with S. Joardar)
58. Detection of indirect coupling using chaining method Proceedings of Conference on Information Science Technology and Management (CISTM) 2009, MDI, Gurgaon (co-authored with V. Singh)
59. Fuzzy rule based system for fine prediction in accidents Proceedings of Conference on Information Science Technology and Management (CISTM) 2009, MDI, Gurgaon (co-authored with J. Pal) 
60. Software Effort Estimation in the Requirement Analysis and Design Phases using Soft Computing Approach 
61. 2nd International Conference on Data Management (ICDM) 2009 held during Feb 10,2009 - Feb 11,2009 at Institute of Management Technology, Ghaziabad, Uttar Pradesh jointly organised by Institute of  Management Technology, Ghaziabad,University of Saskatchewan, Canada and Nanyang Technological University, Singapore. (co-authored with Roheet Bhatnagar and Dr. M. K. Ghose)
62. Are our Students Prepared for Testing Based Software Development? Proceedings of 22nd IEEE – CS Conference on Software Engineering Education and Training, CSEE&T 2009, Hyderabad, February 2009, pp. 210 - 211 (co – authored with Madhumita S. Neogi and Dr.Rupa Mahanti)
63. A New Approach to K-Medoids Algorithm Proceedings of HPCA 2009, Banaras Hindu University, Varanasi, February, 2009, pp. 14   (co – authored with Partha Sarathi Bishnu)
64. An Evaluation of Student Preferences during Software Development Proceedings of National Seminar on Recent Advances on Information Technology (RAIT 2009)  Feb.6-7, 2009, ISM, Dhanbad, pp 239-245 (with M. S. Neogi and R. Mahanti).
65. Case Based Estimation Model Using Project Feature Weights Proceedings of National Seminar on Recent Advances on Information Technology (RAIT 2009)  Feb.6-7, 2009, ISM, Dhanbad, pp 252 – 256  (with S.  Kumar and E. Rashid) 
66. A Dynamic Cohesion Metric for Object Oriented Design Proceedings of International Conference C3IT 2009, Academy of Technology, Hooghly, February, 2009 (co – authored with Vinay Singh and Kumar Rajnish)
67. Outlier Detection Technique using Quad Tree Proceedings of International Conference C3IT 2009, Academy of Technology, Hooghly, February, 2009, pp. 143- 148 (co – authored with Partha Sarathi Bishnu)
68. A New Dynamic Cohesion Metric for Object Oriented Design Proceedings of International ICACT - 2008, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, December 2008, pp. 191 - 195 (co – authored with Vinay Singh and Kumar Rajnish)
69. A Case Study on Estimation of Software Development Effort Proceedings of International ICACT - 2008, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, December 2008, pp. 161 - 164 (co – authored with Ekbal Rashid and Sanjay Kumar)
70. Use of Complexity Metric for Similarity Matching in Software Development Effort Estimation Proceedings of National Conference NCM2C - 2008, JNU, New Delhi, December 2008, pp. 12 - 22 Initialization Algorithm for K-Means using Quad Tree Proceedings of National Conference NCM2C - 2008, JNU, New Delhi, December 2008, pp. 73 – 81 (co – authored with Partha Sarathi Bishnu)
71. Software Development Approach of Students: An Evaluation Proceedings of National Conference NCM2C - 2008, JNU, New Delhi, December 2008, pp. 23 - 30 (co – authored with Madhumita S. Neogi and Dr. Rupa Mahanti) 
72. Estimation of Software Development Effort in University Setting: A Case Study Proceedings of National Conference on Architecturing Future IT Systems, NCAFIS’08, Indore, October 17 -18, 2008, pp. 40 – 43 (co – authored with Sanjay Kumar and Ekbal Rashid) 
73. Interaction among Classes and its Effect on Cohesion Metric Proceedings of National Conference on Methods and Models in Computing (NCM2C - 2007) JNU, New Delhi, Dec. 13 to 14, 2007, pp. 23 - 32 (co – authored with Kumar Rajnish)
74. Neural Network Modeling and Prediction of Crop Yield Proceedings of National Conference on Methods and Models in Computing (NCM2C - 2007) JNU, New Delhi, Dec. 13 – 14, 2007, pp. 168 - 173 (co – authored with Amrita Priyam, Onima Tigga, Jaya Pal, P. S. Bishnu) 
75. An Empirical Approach to Object Oriented Inheritance Tree Metric Proceedings of National Level Technical Conference (TECHNOVISION – 2007), Deptt. of MCA, Shri Shankaracharya College of Engineering and Technology, Bhilai 26 – 27 Oct., 2007, pp. 145 to 150 (co – authored with Kumar Rajnish)   
76. Object Oriented Class Complexity Metric- A Case Study Proceedings of 5 th. Annual Conference on Information Science Technology and Management (CISTM), July 16 - 18, 2007, Hyderabad (co - authored with Kumar Rajnish)
77. Applicability of Weyuker Property 9 to Object Oriented Inheritance Tree Metric: A Discussion Proceedings of International Conference on Information Technology (ICIT - 2007), NIT Rourkela, December 17 – 20, 2007, pp. 234 - 236 (co - authored with Kumar Rajnish)
78. Evolution of Software Process Models Proceedings of National Conference on Technological Advances and Emerging Societal Implications (TAESI – 2007), March 2007, NIT Rourkela (co - authored with Madhumita S. Neogi and Dr. Rupa Mahanti)
79. Software Development Patterns in University Setting: A Case Study Proceedings of National Seminar on Recent Advances on Information Technology (RAIT 2007), February 2007, ISM, Dhanbad, pp. 40 - 43 (co - authored with Madhumita S. Neogi and Dr. Rupa Mahanti) 
80. The Soft Computing Approach to Program Development Time Proceedings of International Conference on Information Technology (ICIT - 2006), December 18 – 21, 2006, Bhubaneswar, pp. 291 - 292 (Publication of Conference Proceedings by IEEE Computer Society) Class Cohesion and Development Time Proceedings of National Conference on Methods and Models in Computing (NCM2C 2006) JNU, December 18-19, 2006, New Delhi, pp. 26 - 34 (co - authored with K. Rajnish) 
81. Measuring Class Cohesion: An Empirical Approach Proceedings of ISCA 19 th. International Conference on Computer Applications in Industry and Engineering CAINE - 2006, November 13-15, 2006, Las Vegas, Nevada, USA, pp. 193 -198 (co - authored with Dr. P. K. Mahanti and K. Rajnish)
82. A New Metric for Class Inheritance Hierarchy: An Illustration Proceedings of National Conference on Emerging Principles and practices of Computer Science & Information Technology (EPPCSIT ’06), August 18 – 19, 2006, Ludhiana, pp. 321 – 325 (co - authored with K. Rajnish)
83. Cohesion Metric for Object Oriented Design Proceedings of Second National Conference on Innovations in Information and Communication Technology (NCIICT - 2006), July 7 - 8, 2006, Coimbatore, pp. 73 – 78       (co - authored with K. Rajnish)
84. An Expert Case – Based Framework for Software Cost Estimation Proceedings of National Conference on Soft Computing Techniques for Engineering Applications (SCT 2006), March 25 – 26, 2006, NIT, Rourkela, pp. 183 – 188 (co – authored with S. Kumar)
85. Class Complexity – A Case Study Proceedings of 1 st. International Conference on Emerging Applications of Information Technology (EAIT 2006) February 10 – 11, 2006, Science City, Kolkata, India, pp. 253 – 258   (co – authored with K. Rajnish) 
86. Software Testing - A Graph Theoretic Approach Proceedings of International Conference on Information Technology (CIT 2005), December 20 – 23, 2005, Bhubaneswar, India, pp. 66 - 71 (co – authored with Dr. D. Suri and Dr. P. K. Mahanti)
87. Object Oriented Database Management System Presented at International Conference on Challenges and Opportunities in IT Industry (ICCII 2005), Ludhiana, India (co – authored with S. Shalini)
88. Maintenance of Metrics through Class Inheritance Hierarchy Presented at International Conference on Challenges and Opportunities in IT Industry (ICCII 2005), Ludhiana, India (co – authored with Kumar Rajnish) 
89. Fuzzy Logic based Models for Software Cost Estimation Presented at International Conference on Challenges and Opportunities in IT Industry (ICCII 2005), Ludhiana, India (co – authored with Sanjay Kumar) 
90. Class Complexity in Object Oriented Design – A New Metric Presented at International Conference on Emerging Technologies in IT Industry (ICET 2004), Ludhiana, India (co – authored with K. Rajnish)
91. Software Cost Estimation and its relevance in the Indian Software Industry Presented at International Conference on Emerging Technologies in IT Industry (ICET 2004), Ludhiana, India (co – authored with S. Kumar)
92. Laboratory based Teaching in Software Engineering Proc. of 6 th. International Workshop on Computer Science and Information Technologies (CSIT’2004), Budapest, Hungary, pp. 177 - 179 (co - authored with Dr. P. K. Mahanti)

Book Chapters

1. Kumar Rajnish, Vandana Bhattacharjee and Mansi Gupta, “A Novel Convolutional Neural Network Approach to Predict Software Defects”, accepted in the book titled “Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications", First published: 29 January 2022 https://doi.org/10.1002/9781119821908.ch9 Index: Scopus and Web of Science.

2. Akhila R. Sahiti, Raj Sahu, Vandana Bhattacharjee (2021), A Graph Convolutional Networks based framework for mental stress prediction", Book Chapter in Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach, Eds. Shikha Jain and Kavita Pandey, Academic Press, pp. 73-92

3. Umang Gupta, Vandana Bhattacharjee, P. S.  Bishnu  (2019) A New Neighborhood-Based Outlier Detection Technique. In: Nath V., Mandal J. (eds) Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems. Lecture Notes in Electrical Engineering, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-13-7091-5_43

4. Ritesh Jha,  Vandana Bhattacharjee, Vinit Singh and I. Mukherjee, K-NN Classification for Large Dataset in Hadoop Framework, © Springer Nature Singapore Pte Ltd. 2020 V. Nath and J. K. Mandal (eds.), Nanoelectronics, Circuits and Communication Systems, Lecture Notes in Electrical Engineering 642, https://doi.org/10.1007/978-981-15-2854-5_43
5. Ritesh Jha, Vandana Bhattacharjee and Abhijit Mustafi, IoT in Healthcare: A Big Data Perspective, © Springer Nature Switzerland AG 2020, P. K. Pattnaik et al. (eds.), Smart Healthcare Analytics in loT Enabled Environment, Intelligent Systems Reference Library 178, https://doi.org/10.1007/978-3-030-37551-5_13
6. S. Roy, P. Pranav, Vandana Bhattacharjee , Securing the Internet of Things: Current and Future State of the Art, © Springer Nature Switzerland AG 2020, P. K. Pattnaik et al. (eds.), Smart Healthcare Analytics in loT Enabled Environment, Intelligent Systems Reference Library 178, https://doi.org/10.1007/978-3-030-37551-5_15
7. Jaya Pal and Vandana Bhattacherjee(2018) Analysis of Complete-Link Clustering for Identifying Multi-attributes Software Quality Data. In: Hassanien A., Tolba M., Elhoseny M., Mostafa M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_29

Funded Research Projects :

1. Title: Non-invasive method for detection and analysis of anemia in pregnant women using deep learning-based model: A Multidisciplinary, Multicentric Study 

   Project id: IIRPSG-2024-01-07199

           Role: Co-PI

          Principal Investigator (PI): Dr. Partha Sarathi Bishnu, Assistant Professor, Dept. of CSE, BIT Mesra

          Funding Agency: ICMR (Indian Council of Medical Research)

          Grant: Rs. 27,49,745

          Duration: 1^st March 2025 – 29^th February 2028

2. Title: Visually Evoked EEG Signal Classification and Perceived Image Regeneration using Deep Learning for Brain Fingerprinting  (SPR/2022/000154)

          Role: Co-PI

          Principal Investigator (PI): Dr. Shamama Anwar, Assistant Professor, Dept. of CSE, BIT Mesra

          Funding Agency: SERB (Scientific and Useful Profound Research Advancement – SUPRA scheme)

          Grant: Rs. 24,15,705

          Duration: 2023 – 2026

Funded Research Projects (Completed):

        1. Title:  Development of Machine Learning Algorithms for the Early Diagnosis of Delinquent Behaviour of Juveniles

          Role:              Co-PI 

          Principal Investigator (PI): Dr. Subrajeet Mohapatra, Assistant Professor, Dept. of CSE, BIT Mesra

          Funding Agency::   Department of Science & Technology, New Delhi

          Duration:      3 Years

          Budget:        Rs. 22.54 Lakhs 

2. Title: Development of Metric Suite for Object-Oriented Design

          Role:              Principal Investigator (PI).

          Co-PI:            Dr. Kumar Rajnish

          Funded By:   University Grants Commission (F. 33-61/2007, March 2008 - April 2011)

          Duration:      3 Years

          Budget:        Rs. 3.06740 Lakhs 

Data Analysis : Using Statistics and Probability with R Language, Partha Sarathi Bishnu and Vandana Bhattacherjee, PHI Learning

ISBN: 978-93-87472-65-5

eBook ISBN: 978-93-87472-66-2

Year: 2018

Title: System and Method for optimizing discounts to enhance customer satisfaction and company’s revenue

Patent No.: 202431053477

Status: Filed

Date: July 12,  2024

Inventors: Partha Sarathi Bishnu, Abhishek Kumar and Vandana Bhattacharjee