Ankush Jain
Netaji Subhas University of Technology, Indira Gandhi Delhi Technical University for Women, Bennett University
About
Dr Ankush received his B.Tech. Degree in the Computer Science and Engineering discipline from Rajasthan Technical University, Kota in 2014, and an M.Tech. Degree in Advanced Networks from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior in 2017. Thereafter, He completed his Ph.D. (Recommendation Systems) at ABV-IIITM, Gwalior in 2021.
Currently, he is working as Assistant Professor in the Department of Computer Science and Engineering at Netaji Subhas University of Technology, Dwarka, New Delhi. His research interest includes Computer Vision, Machine Learning, Recommendation Systems, Healthcare, Algorithm Design, Drug-Target Discovery, and Wireless Sensor Networks.
Employment
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Netaji Subhas University of Technology Assistant Professor2023 - Present
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Indira Gandhi Delhi Technical University for Women Assistant Professor2022 - 2023
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Bennett University Assistant Professor2021 - 2022
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Enhancing Early Diabetes Detection Through Machine Learning: Analyzing Data for Accurate Risk Prediction Save
- A Comparative Analysis of Deep Learning Models for Early Prediction of Alzheimer’s Disease using structural MRI Save
- CAHNetF-DTP: A Community-Aware Heterogeneous Network-Based Embedding Framework for Drug-Target Interaction Prediction Save
- Multimodal Deep Learning Framework for Alzheimer’s Disease Diagnosis using structural MRI and Genetic features Save
- SlideBERT-DTI: An improved framework using Deep learning-based approach for Drug-Target interaction prediction Save
- Artificial Intelligence, Machine Learning and IoT for Smart Business Management Save
- Transforming Healthcare Save
- Uncovering methods for early Alzheimer diagnosis using machine learning and deep learning Save
- Rating Distribution-Aware Deep Cognitive Convolution Matrix Factorization for Recommendation Systems Save
- Permutation driven evolutionary ordering with dependency filtering for multi-label classification Save