Dr. Anand Pandey

About

Dr. Anand Pandey working as an Associate Professor in the Department of Computer Science and Application in Sharda University. He has served in different academic and administrative roles at various academic institutes for more than 24 years. He has published 27 research papers in refereed international journals and various international conferences. His areas of research include Computer Vision, Deep Learning.

Experience

• 24 Years

Qualification

• Ph.D.(CSE)

Award & Recognition

Research

• An automated ECG-based deep learning for the early-stage identification and classification of cardiovascular disease Anand Pandey 1, Ajeet Singh 2, Prasanthi Boyapati 3, Abhay Chaturvedi 4, N Purushotham 5, Sangeetha M 6 DOI: 10.3233/THC-240543
• R. Indhumathi, K. Amuthabala, G. Kiruthiga, N. Yuvaraj, and A. Pandey, “Design of Task Scheduling and Fault Tolerance Mechanism Based on GWO Algorithm for Attaining Better QoS in Cloud System,” Wirel Pers Commun, 2022, doi: 10.1007/s11277-022-10072-x.
• Neha Shukla, Anand Pandey, A. P. Shukla, and S. C. Neupane, “ECG-ViT: A Transformer-Based ECG Classifier for Energy-Constraint Wearable Devices,” J Sens, vol. 2022, 2022, doi: 10.1155/2022/2449956.
• A. Sridharan, B. A. Othman, S. K. Shukla, A. Tripathi, A. Pandey, and K. Tongkachok, “The Emerging Role of Integrating Artificial Intelligence (Ai) in the Software Defined Network for Effective Traffic Prediction using Correlation Analysis,” in 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Apr. 2022, pp. 116–120. doi: 10.1109/ICACITE53722.2022.9823926.
• P. Deshpande, Anand Pandey, ‘Metaheuristic Deep Learning-Driven Wireless Communication Security Adaptation Using Multivariate Analysis of Variance (MANOVA), Security and Communication Networks, τ. 2022, σ. 8426997, Μαΐου 2022.
• Anand Pandey, P. Singh, P. Mani, S. Gupta, and J. P. Narayan Verma, “Message Ferry Route Calculation through K-means Clustering Algorithm for Partially-Connected MANET,” Webology, vol. 17, no. 2, pp. 15–31, 2020, doi: 10.14704/WEB/V17I2/WEB17013.

Certifications

Area of Interest

• LLM, Deep Learning, Computer Vision, Machine Learning