Bio-Sketch:

Dr. Ankush Jain is an Assistant Professor in Department of Computer Science and Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi. He completed his Ph.D. from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, in 2022. He received his M. Tech. degree with a specialization in Advanced Networks from ABV-IIITM, Gwalior in 2017, and B. Tech. degree in Computer Science and Engineering from Rajasthan Technical University, Kota, in 2014. Earlier, he worked as an Assistant Professor at Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi. Dr. Jain has published several book chapters and SCI journal papers in his area of interest and proficiency in various peer-reviewed international journals of high repute. He serves as a reviewer in various international journals, e.g., IEEE Transactions on Evolutionary Computation, IEEE Transactions on System, Man and Cybernetics, IEEE Sensors Journal, Information Processing and Management, Expert Systems with Applications, Soft Computing, and JMLC. His research interests include Recommendation Systems, Evolutionary Computation, Computer Vision, Pattern Recognition, and Machine Learning. He is a member of the IEEE, ACM, and International Society of Engineers (IAENG).

Areas of Interest:

Recommendation System, Computer Vision, Pattern Recognition, Evolutionary Computation, and Wireless Sensor Networks.

Profile : Dr. Ankush Jain - Profile

Publications in International Journals

Ankush Jain et al. KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments. Knowledge and Information Systems, 2024: Doi: https://doi.org/10.1007/s10115-023-02051-w [IF: 2.7]

Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. A hybrid learning-based genetic and grey-wolf optimizer for global optimization. Soft Computing, 2022. Doi: https://doi.org/10.1007/s00500-022-07604-9 [IF: 3.732]

Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. SS-BRSR: Structural similarity-based Bi- representation through true noise level for noise-robust face super-resolution. Multimedia Tools and Applications, 2023. Doi: https://doi.org/10.1007/s11042-022-14325-6. [IF: 2.577]

Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. ADC@θr: Adaptive divisional categorization of ratings under rating threshold θr for similarity computation in recommendation systems. Applied Intelligence, 2021. Doi: https://doi.org/10.1007/s10489-021-02428-w [IF: 5.019]

Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Mixed-noise robust face super-resolution through residual-learning based error suppressed nearest neighbor representation. Information Sciences, 546:121-145, 2021. Doi: https://doi.org/10.1016/j.ins.2020.08.002 [IF: 8.233]

Ankush Jain, K. K. Pattanaik, Ajay Kumar, and Paolo Bellavista. Energy and congestion aware routing based on hybrid gradient fields for wireless sensor networks. Wireless Networks, 27(1):175-193, 2021. Doi: https://doi.org/10.1007/s11276-020-02439-4 [IF: 2.701]

Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. Expert Systems with Applications, 161:113724, 2020. Doi: https://doi.org/10.1016/j.eswa.2020.113724 [IF: 8.665]

Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Pixel-wise dictionary learning based locality- constrained representation for noise robust face hallucination. Digital Signal Processing, 99:102667, 2020. Doi: https://doi.org/10.1016/j.dsp.2020.102667 [IF: 2.920]

Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Adaptive optimal multi-features learning based representation for face hallucination. Expert Systems with Applications, 190:116141, 2022. Doi: https://doi.org/10.1016/j.eswa.2021.116141 [IF: 8.665]

Ankush Jain, Pramod Kumar Singh, and Joydip Dhar. Multi-objective item evaluation for diverse as well as novel item recommendations. Expert Systems with Applications, 139:112857, 2020. Doi: https://doi.org/10.1016/j.eswa.2019.112857 [IF: 8.665]

Vijay Anand, Ankush Jain, K. K. Pattanaik, and Ajay Kumar. Traffic aware field-based routing for wireless sensor networks. Telecommunication Systems, 71(3):475-489, 2019. Doi: https://doi.org/10.1007/s11235-018-0519-0 [IF: 2.336]

Books/Book Chapters

Ankush Jain et al. Applications of AI, IoT, and Robotics in Healthcare Service Based on Several Aspects. In Blockchain Technology in Healthcare Applications (pp. 87-114), In CRC Press.

Ankush Jain et al. Blockchain for 5G-Enabled Networks in HealthCare Service based on Several Aspects. In Blockchain for Healthcare Informatics. Doi: https://doi.org/10.1016/B978-0-323-90615-9.00018-9, In Elsevier Press.

Ankush Jain et al. Underwater Image Enhancement: Past, Present Future. In Digital Image Enhancement and Recon- struction. Doi: https://doi.org/10.1016/B978-0-32-398370-9.00014-7, In Elsevier Press.

Ankush Jain et al. Applications of Internet of Robotic Things in Industry 4.0 Based on Several Aspects. In Artificial Intelligence Techniques in Human Resource Management. In AAI Press (In Press).

Patent Published

Ankush Jain et al. "New Computing Paradigm for Communications through Edge Computing"- Indian Patent Application No. 202211031844, Date of Publication: June 10, 2022