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
Publications:
International Journals:
- 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).
- 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 & Continua, 67(3), 3107-3127 (SCI)
- 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.
- 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.
- 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)
- 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.
- 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).
- 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)
- 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).
- 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)
- 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)
- Ansh Mittal, Anusurya, Deepika Kumar, Garima Kumar, ML driven Prediction of Collison of Milky Way & Andromeda”, IJRTE , Volume 8 Issue 3 , September 2019.(Scopus)
- 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.
- 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).
- 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.
- Deepika Kumar & Usha Batra, “Clustering Algorithms for Gene Expression Data: A Review”. International Journal of Recent Research Aspects, 4, 122-28 (2017).
- 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.
- 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:
- 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.
- Srishti Bhalla, Priyanka Poddar, Palak Dhingra, Deepika Kumar,” Sign Language classification using Convolutional Neural Networks “at INDIACOM 2018.
- Apristya, Satyam, Deepika Kumar ,” Predicting Heart Disease using Logistic Regression”, At INDIACOM 2018
- Deepika Kumar, Usha Batra, “Breast Cancer Prediction using Classification and Ensemble Algorithms” at INDIACOM 2018.
- Priyanka Poddar, Sai Kiran, Sarthak, Deepika Kumar” Privacy and Security issues in Healthcare: A Review” at INDIACOM – 2017.
- 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.
Achievements:
- 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
Patents:
- System and Method for crop protection from animals using smart sensors Granted (Application No: au2020103507)
- Insect species classification method – Published (Application No:in202011024061)
Professional Links:
- Orcid ID: 0000-0002-6690-8500
- http://linkedin.com/in/dr-deepika-kumar-26b2a3212
- https://scholar.google.com/citations?user=zF5DlcgAAAAJ&hl=en