Dr. Deepika Kumar

Assistant Professor

Bharati Vidyapeeth’s College of Engineering

Email-ID:  deepika.kumar@bharatividyapeeth.edu

Qualification: PhD.(CSE), M.Tech (CSE), B.Tech (CSE)

Area of Interest: Machine Learning, Data analysis, Bioinformatics

Teaching Experience: 13+ years

Subjects Expertise: Artificial Intelligence, Data Mining and Business Intelligence, Computer Graphics & Multimedia


International Journals:

  1. Walia, Inderpreet S., Deepika Kumar, Kaushal Sharma, Jude D. Hemanth, and Daniela E. Popescu 2021. “An Integrated Approach for Monitoring Social Distancing and Face Mask Detection Using Stacked ResNet-50 and YOLOv5” Electronics10, no. 23: 2996. https://doi.org/10.3390/electronics10232996(SCI).
  2. Anand, I., Negi, H., Kumar, D., Mittal, M., Kim, T. H., & Roy, S. (2021). Residual U-Network for Breast Tumor Segmentation from Magnetic Resonance Images. CMC-Computer Materials & Continua67(3), 3107-3127 (SCI)
  3. Kumari, Saloni, Deepika Kumar, and Mamta Mittal. “An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier.” International Journal of Cognitive Computing in Engineering2 (2021): 40-46.
  4. Manocha, Hardik, Utkarsh Upadhyay, and Deepika Kumar. “Experimental Evaluation of Security and Privacy in GSM Network Using RTL‐” Smart and Sustainable Intelligent Systems(2021): 401-412.
  5. Kumar, Deepika, and Usha Batra. “Classification of Invasive Ductal Carcinoma from histopathology breast cancer images using Stacked Generalized Ensemble.” Journal of Intelligent & Fuzzy SystemsPreprint: 1-16 (SCIE)
  6. Kumar, Deepika, and Usha Batra. “Breast Cancer Histopathology Image Classification Using Soft Voting Classifier.” Proceedings of 3rd International Conference on Computing Informatics and Networks: ICCIN 2020. Springer Singapore, 2021.
  7. Deepika Kumar, Nikita Jain, Aayush Khurana, Sweta Mittal, SC Satapathy, R Senkerik, D Jude Hemanth, “Automatic Detection of White Blood Cancer from Bone Marrow Microscopic Images Using Convolutional Neural Networks,” in IEEE Access, vol. 8, pp. 142521-142531, 2020, doi: 10.1109/ACCESS.2020.3012292 (SCI).
  8. Aggarwal Akshay, Aniruddha Chauhan, Deepika Kumar, Mamta Mittal, Sudipta Roy, and Tai-hoon Kim. “Video Caption Based Searching Using End-to-End Dense Captioning and Sentence Embeddings.” Symmetry12, no. 6 (2020): 992 (SCIE)
  9. Aggarwal Akshay, Aniruddha Chauhan, Deepika Kumar, Mamta Mittal, & Sharad Verma,” Classification of Fake News by Fine-tuning Deep Bidirectional Transformers based Language Model”, EAI Endorsed Transactions on Scalable Information Systems Online First; EAI: Ghent, Belgium (ESCI).
  10. Ansh Mittal, Deepika Kumar, Mamta Mittal, Tanzila Saba, Ibrahim Abunadi, Amjad Rehman, and Sudipta Roy. “Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images.” Sensors20, no. 4 (2020): 1068 (SCIE)
  11. Mittal, Ansh, and Deepika Kumar. “AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction.” EAI Endorsed Transactions on Pervasive Health and Technology5, no. 17 (2019).(Scopus)
  12. Ansh Mittal, Anusurya, Deepika Kumar, Garima Kumar, ML driven Prediction of Collison of Milky Way & Andromeda”, IJRTE , Volume 8 Issue 3 , September 2019.(Scopus)
  13. Deepika Kumar, Ritik Aggarwal, Siddhant Raghuvanshi, and Shourya Chand. “An Integrated Approach for Amazon Product Reviews Classification Using Sentiment Analysis.” International Journal of Computer Applications & Information Technology12, no. 2 (2020): 317-324.
  14. Deepika Kumar and Usha Batra. “Epidemiology of Breast Cancer in Indian Women: Population and Hospital Based study.” EAI Endorsed Transactions on Pervasive Health and Technology4, no. 16 (2018) (Scopus).
  15. Himani Negi, Tanish Bhola, Manu S Pillai and Deepika Kumar, “A Novel Approach for Depression Detection Using Audio Sentiment Analysis” (2018). International Journal of Information Systems & Management Science, Vol. 1, No. 1, 2018.
  16. Deepika Kumar & Usha Batra, “Clustering Algorithms for Gene Expression Data: A Review”. International Journal of Recent Research Aspects4, 122-28 (2017).
  17. Mehak Jain, Rachna Jain, Deepika Kumar, “Analysis of various Security Models in Cloud Computing”, International Journal of Computer Technology & Applications, Vol 7(6),759-767, ISSN:2229-6093,2016.
  18. Deepika Kumar and Poonam Verma. “Routing protocols for MANET, VANET and AANET: a survey.” International Journal of Innovative Technology and Research3, no. 2 (2015): 1953-1956.

International Conferences:

  1. Shubham Singh, Naman Gupta, Tushar Kalkal, and Deepika Kumar, “Music Genre Classification using Visual Features from Spectrogram” Summit on Computational & Web Intelligence (CI 2018), Bangkok, 2018.
  2. Srishti Bhalla, Priyanka Poddar, Palak Dhingra, Deepika Kumar,” Sign Language classification using Convolutional Neural Networks “at INDIACOM 2018.
  3. Apristya, Satyam, Deepika Kumar ,” Predicting Heart Disease using Logistic Regression”, At INDIACOM 2018
  4. Deepika Kumar, Usha Batra, “Breast Cancer Prediction using Classification and Ensemble Algorithms” at INDIACOM 2018.
  5. Priyanka Poddar, Sai Kiran, Sarthak, Deepika Kumar” Privacy and Security issues in Healthcare: A Review” at INDIACOM – 2017.
  6. Gupta, A., Gusain, K., & Kumar, D. (2016, December). Novel approach for incremental learning using Ensemble of SVMs with particle swarm optimization. In 2016 11th International Conference on Industrial and Information Systems (ICIIS)(pp. 426-430). IEEE.

Certified Courses:

  • Machine Learning Course – Coding Ninja
  • How to write & publish a Scientific Research Paper – Coursera
  • Machine Learning Course by Stanford University – Coursera
  • Bioinformatics Methods -I by University of Toronto – Coursera


FDP/Workshop Attended/Organized:

  • Organized one-week e-Faculty Development Program on “Role of Computational Intelligence in Society” from 6th July-11th July 2020.
  • Organized EVOTECH 3.0(Student Project Exhibition & Competition) on 19th October 2019.
  • Organized two-day workshop on “R Programming & Big Data Analytics” by NSIC, Okhla in April 2019
  • Organized Industrial Visit for 2nd year students at NSIC, Okhla in April 2019.
  • Attended Annual Research Conclave at GD Goenka University in February 2019.
  • Attended FDP on Computing with Words via fuzzy logic with applications at GD Goenka University in May 2019
  • Organized 2-day workshop on “Machine Learning “by Coding Block in April 2018.
  • Organized EVOTECH 2.0 (Project Exhibition and Competition) on 31st October 2018.
  • Organized one-week FDP on “Emerging Trends in Image & Text Analytics using Machine Learning” in May 2018
  • Organized EVOTECH 1.0 (Project Exhibition and Competition) in 2017
  • Attended Annual Research Conclave at GD Goenka University in February 2018.
  • Organized one-week FDP on “Data Sciences & Machine Learning” in November 2016.
  • Organized one-week FDP on “Current Trends in Cloud & Cyber Security”.
  • Organized workshop on “Bio-inspired optimization techniques” at BVCOE Delhi in April, 2017.


  • Received Best Researcher Award for research paper entitled “Automatic Detection of White Blood Cancer from Bone Marrow Microscopic Images Using Convolutional Neural Networks” at BVCOE New Delhi.
  • Received Best Researcher Award for research paper entitled “Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images” at BVCOE New Delhi.
  • Research paper entitled “Breast Cancer Histopathology Image Classification using Soft Voting Classifier” was awarded as Best Paper of Session at AICTE approved 3rd International Conference on Computing Informatics & Networks (ICCIN 2020).
  • Won Consolation Prize in Smart India Hackathon-2018 held in Bhuvneshwar, Orissa.
  • Won 2nd Prize at Annual Research Conclave Poster presentation at GD Goenka University


  • System and Method for crop protection from animals using smart sensors Granted (Application No: au2020103507)
  • Insect species classification method – Published (Application No:in202011024061)

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