Dr.Anindita Khade
Assistant Professor
School of Technology Management & Engineering
Educational Qualifications
Ph. D. (Computer Engineering- DY Patil Deemed to be University)
ME (Computer Engineering-Mumbai University)
BE(Computer Engineering- Mumbai University)
Email Id: Anindita.Khade@nmims.edu
Subjects Teaching:
Natural Language Processing
Mobile Application Development
Machine Learning
Deep Learning
Big Data Analytics
Major Achievements, Honours and Awards, Certifications
- Received Best Paper Award during 1st International Conference on Advancement in Computation & Computer Technologies (InCACCT- 2023) for the work A hybrid model for predicting COPD using CNN
- Received Copyright on the topic : Detecting stages of chronic kidney disease from USG using SQUEEZENET for Indian population - SW-15276/2022 in AY 2021-22
- Received Copyright on Swarm Optimization Based Cuckoo Search Algorithm for Detection for CKD- SW-17836/2023 in AY 2023-24
- Received Copyright on Diskless Booting – A Hybrid Computing Technology - SW-17837/2023 in AY 2023-24
- Patent Granted on A Chronic Kidney Disease Detection Device(391671-001) by the Government of India on 10-04-2024
- Received Elite Certificate from NPTEL on scoring Distinction marks in the Course of Deep Learning conducted by IIT Ropar.
- Book Published on Probabilistic Graphical Models by Tech knowledge publications in August 2023.
Teaching Experience
15 years
PhD Thesis
A Novel Approach for Early Prediction of Chronic Kidney Disease using Non Invasive Techniques for Indian Population
Memberships
ISTE, CSI
Research Interests
Multimodal Understanding, Explainable AI
Journal Publications:
- Khade, A., Vidhate, A.V. & Vidhate, D. FFN-XGB- design of a hybrid feed forward neural network and extreme gradient boosting model for early prediction of chronic kidney disease. Int J Syst Assur Eng Manag (2023). https://doi.org/10.1007/s13198-023-01993-2
- A. Khade, A. V. Vidhate, and D. Vidhate, "Design of an Optimized Self-Acclimation Graded Boolean PSO with Back Propagation Model and Cuckoo Search Heuristics for Automatic Prediction of Chronic Kidney Disease”, JMM, vol. 19, no. 06, pp. 1395–1414, Oct. 2023. https://doi.org/10.13052/jmm1550-4646.1962
- A. A. Khade, "Performing Customer Behavior Analysis using Big Data Analytics,” Procedia Computer Science, vol. 79, pp. 986–992, Jan. 2016, doi: 10.1016/j.procs.2016.03.125.
- K. Vishwanath, Anindita Khade "A Comprehensive Survey of Artificial Intelligence and Machine Learning Application in Healthcare,” Journal of Electrical Systems, vol. 20, no. 6s, pp. 1425–1431, Apr. 2024, doi: 10.52783/jes.2932.
- Tridip Bardhan, Anindita Khade "Utilizing AI for Enhanced Predictive Analytics in Financial Projections: Significance in Corporate Planning and Risk Mitigation” Journal of Electrical Systems, vol. 20, no. 7s, pp. 3983-3987, June 2024
Conference Publications:
- Prescriptive analytics for customer recommendation system-A Review in EQUINOX 2017
- U. Ravale, A. Khade, N. Patel, and S. Chaure, ‘Smart trash: An efficient way for monitoring solid waste management’, in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Mysore, 2017.
- A Smart and Prognostic approach to park vehicles using IoT in JASC’2018
- Modelling Customer Behavior for Efficient Recommendation systems, IJRAR, JAN 2020
- M. Narayanan, S. Jaju, A. Nair, A. Mhatre, A. Mahalingam, and A. Khade, ‘Real-time video surveillance system for detecting malicious actions and weapons in public spaces’, in Computer Networks and Inventive Communication Technologies, Singapore: Springer Nature Singapore, 2021, pp. 153–166.
- Early detection of Brain stroke using ML techniques,IJRAR,May 2021
- A. A. Khade, A. V. Vidhate, and D. Vidhate, ‘A comparative analysis of applied AI techniques for an early prediction of chronic kidney disease’, in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
- Application of Artificial Intelligence Techniques in the Early-stage Detection of Chronic Kidney Disease,Taylor and Francis,Scopus Indexed-2022
- V. Murugesh, A. Parthasarathy, G. P. Gopinath, and A. Khade, ‘Tamil language handwritten document digitization and analysis of the impact of data augmentation using generative adversarial networks (GANs) on the accuracy of CNN model’, in Machine Learning and Autonomous Systems, Singapore: Springer Singapore, 2022, pp. 159–177.
- S. Suriya Prasath, S. Ravikumar, and A. Khade, ‘Diskless booting: A hybrid computing technology’, in Inventive Computation and Information Technologies, Singapore: Springer Singapore, 2022, pp. 859–877.
- V. Sreedhar, S. Kumar, S. Veturi, and A. Khade, ‘Text-based cyberbullying prevention using toxicity filtering mobile chat application and API’, in 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India, 2022.
- K. Mapari, M. Raghuwanshi, S. Moraskar, and A. A. Khade, "A novel approach for detecting real-time Indian sign language using deep learning,” AIP Conference Proceedings, Jan. 2024, doi: 10.1063/5.0200585.
- Khade, J. Iyer, M. Inbarajan, and V. Yadav, "Mitigating Cross-Site Request Forgery Threats in the Web,” Apr. 2023, doi: 10.1109/icoei56765.2023.10125633.
- Naikar, M., Khandagale, S., Jadhav, V., Jadhav, G., Khade, A. (2024). Design of an Auto Evaluation Model for Subjective Answers Using Natural Language Processing and Machine Learning Techniques. In: Manoharan, S., Tugui, A., Baig, Z. (eds) Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy. ICAIS 2024. Information Systems Engineering and Management, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-61471-2_14
- Shashank Deep, Anindita Khade Creating an Integrated Browser Plug-in for Detecting and Blocking Obscene Image/Text Content., ICACIS 2024
