Electro-optic Reversible Toffoli Gate with Optimal Count of LiNbO3 Mach-Zehnder Interferometers. - Shashank Awasthi; Saurav Sharma; Sanjeev Kumar Metya; Alak Majumder (NorCAS, 2020)

Artificial Intelligence in RegTech to Predict Financial Market Trends. - Mousam Sharma; Kanishka Vaish; Samta Kathuria; Rajesh Singh 001; Kanegonda Ravi Chythanya; Shashank Awasthi (IC3I, 2023)

Brain Tumour Detection Using Deep Learning. - Snigdha Vig; Arun Pratap Srivastava; Anil Thakur; Arjun Kumar; Ritvik Senthil Kumar; Shashank Awasthi (IC3I, 2023)

Ti:LiNbO3 Based EO-MZI Count Optimized Design of Reversible Peres Gate. - Barnali Chowdhury; Shashank Awasthi; Mohammad Arif Bin Jalil; Alak Majumder; Sanjeev Kumar Metya (RADIOELEKTRONIKA, 2023)

Controlling of Fake Information Dissemination in Online Social Networks: An Epidemiological Approach. - Rudra Pratap Ojha; Pramod Kumar Srivastava; Shashank Awasthi; Vineet Srivastava 003; Purnendu Shekhar Pandey; Radhe Shyam Dwivedi; Rajesh Singh 001; Antonino Galletta (IEEE Access, 2023)

VLSI Implementation of Error Correction Codes for Molecular Communication. - S. Pratap Singh; Ruchi Rai; Shashank Awasthi; Dinesh Kumar Singh; M. Lakshmanan 002 (Wirel. Pers. Commun., 2023)

An epidemic model for the investigation of multi-malware attack in wireless sensor network. - Shashank Awasthi; Pramod Kumar Srivastava; Naresh Kumar; Rudra Pratap Ojha; Purnendu Shekhar Pandey; Rajesh Singh 001; Anita Gehlot; Neeraj Priyadarshi; Rituraj Jain; Yohannes Bekuma Bakare (IET Commun., 2023)

A Study of the Dissemination of Malware and the Enhancement of the Lifespan of Rechargeable Wireless Sensor Networks: An Epidemiological Approach. - Shashank Awasthi; Pramod Kumar Srivastava; Naresh Kumar; Rudra Pratap Ojha; Ashok Kumar Yadav (SN Comput. Sci., 2023)