Role of Blockchain in Forestalling Pandemics. - Keshav Kaushik; Susheela Dahiya; Rajani Singh; Ashutosh Dhar Dwivedi (MASS, 2020)

Survey of Promising Technologies for Quantum Drones and Networks. - Adarsh Kumar; Surbhi Bhatia; Keshav Kaushik; S. Manjula Gandhi; S. Gayathri Devi; Diego Augusto de Jesus Pacheco; Arwa A. Mashat (IEEE Access, 2021)

Blended Learning Tools and Practices: A Comprehensive Analysis. - Adarsh Kumar; Rajalakshmi Krishnamurthi; Surbhi Bhatia; Keshav Kaushik; Neelu Jyothi Ahuja; Anand Nayyar; Mehedi Masud (IEEE Access, 2021)

An electronic warfare approach for deploying a software-based Wi-Fi jammer. - Keshav Kaushik; Rahul Negi; Prabhav Dev (IC3I, 2022)

An Advanced Approach for performing Cyber Fraud using Banner Grabbing. - Keshav Kaushik; Ishika Punhani; Smita Sharma; Mamta Martolia (IC3I, 2022)

An Approach for Implementing Comprehensive Reconnaissance for Bug Bounty Hunters. - Keshav Kaushik; Suman Avdhesh Yadav; Vikas Chauhan; Aditya Rana (IC3I, 2022)

A novel machine learning-based framework for detecting fake Instagram profiles. - Keshav Kaushik; Akashdeep Bhardwaj; Manoj Kumar 009; Sachin Kumar Gupta; Abhishek Gupta (Concurr. Comput. Pract. Exp., 2022)

Predictive Analytics-Based Cybersecurity Framework for Cloud Infrastructure. - Akashdeep Bhardwaj; Keshav Kaushik (Int. J. Cloud Appl. Comput., 2022)

Investigate Financial Crime Patterns Using Graph Databases. - Akashdeep Bhardwaj; Keshav Kaushik (IT Prof., 2022)

Demystifying Blockchain in 5G and Beyond Technologies. - Keshav Kaushik (J. Mobile Multimedia, 2022)

Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices. - Keshav Kaushik; Akashdeep Bhardwaj; Susheela Dahiya; Mashael S. Maashi; Moteeb Al Moteri; Mohammed Aljebreen; Salil Bharany (Sensors, 2022)

Futuristic view of the Internet of Quantum Drones: Review, challenges and research agenda. - Adarsh Kumar; Diego Augusto de Jesus Pacheco; Keshav Kaushik; Joel J. P. C. Rodrigues (Veh. Commun., 2022)

Making Ductless-split Cooling Systems Energy Efficient using IoT. - Keshav Kaushik; Vinayak Naik (COMSNETS, 2023)

OCSRL: An Model-Based Reinforcement Learning Approach to Optimize Energy Consumption of Cooling Systems. - Keshav Kaushik; Vinayak Naik (e-Science, 2023)

A Real-Time Non-Invasive Anomaly Detection Technique for Cooling Systems. - Keshav Kaushik; Vinayak Naik (EI.A, 2023)

Quantum Man-in-the-Middle Attacks on QKD Protocols: Proposal of a Novel Attack Strategy. - Hicham Amellal; Salma El Hajjami; Keshav Kaushik; Gunjan Chhabra; Suman Avdhesh Yadav (IC3I, 2023)

Improving Imbalanced Data Classification Through Integrated Data-Level and Algorithm-Level Techniques. - Salma El Hajjami; Hicham Amellal; Abdelkarim El-Hajjami; Keshav Kaushik; Inam Ullah Khan (IC3I, 2023)

Investigating Patterns of UAV Attacks for Building Secure UAV Network. - Ishu Sharma; Keshav Kaushik; Gunjan Chhabra (IC3I, 2023)

Employing Convolutional Neural Network for IoT Healthcare Attack Detection in Intensive Care Unit. - Ishu Sharma; Keshav Kaushik; Vanshika Pahuja; Gunjan Chhabra (IC3I, 2023)

Optimizing Real- Time Threat Detection with Feature Engineering Strategies for Intelligent NIDS. - Jyoti Verma 002; Monika Sethi; Snehi Manish; Ishu Sharma; Keshav Kaushik (IC3I, 2023)

A Dynamic Scheduling Technique to Optimize Energy Consumption by Ductless-split ACs. - Keshav Kaushik; Prabhutva Agrawal; Vinayak Naik (ICOIN, 2023)

An Energy Consumption Dataset for Ductless-split Cooling Systems to Train Large Models. - Keshav Kaushik; Vinayak Naik (BuildSys, 2023)

HTML Smuggling: Attack and Mitigation. - Keshav Kaushik; Govind Sharma 006; Preeti Narooka; Gunjan Chhabra; Ankit Vishnoi (SIN, 2023)

Metaverse or Metaworst with Cybersecurity Attacks. - Akashdeep Bhardwaj; Keshav Kaushik (IT Prof., 2023)

Demystifying quantum blockchain for healthcare. - Keshav Kaushik; Adarsh Kumar (Secur. Priv., 2023)

MaOC: Model-Assisted Optimal Control for Ductless-Split Cooling Systems in Building Environments. - Keshav Kaushik; Vinayak Naik (COMSNETS, 2024)

Deep Learning Scheme for Modulation Classification under Fading Channels. - Sajjad Ahmed Ghauri; Mubashar Sarfraz; Gunjan Chhabra; Keshav Kaushik; Asim Zafar; Inam Ullah Khan (IC3I, 2024)

A Scalable Solution for Pneumonia Diagnosis: Transfer Learning for Chest X-ray Analysis. - Rezaul Haque; Shayma Sultana; Chandan Prasad; Sayed Hasan; Hasib Fardin; Abdullah Al Sakib; Neeru Malik; Keshav Kaushik (IC3I, 2024)

Routing Protocols in Wireless Sensor Networks: A Comprehensive Review and Future Perspectives. - Puneet Kaur; Kiranbir Kaur; Deepak Kumar Verma; Kuldeep Singh; Keshav Kaushik; Vineeta Singh (IC3I, 2024)

Monkeypox Lesion Classification: A Transfer Learning Approach for Early Diagnosis and Intervention. - Abdullah Al Noman; Hasib Fardin; Gunjan Chhabra; Shayma Sultana; Rezaul Haque; Md. Redwan Ahmed; Swarna Hasibunnahar; Keshav Kaushik (IC3I, 2024)

Enhancing agricultural wireless sensor network security through integrated machine learning approaches. - Ishu Sharma; Aditya Bhardwaj; Keshav Kaushik (Secur. Priv., 2024)

Blockchain and artificial intelligence for 5G-enabled Internet of Things: Challenges, opportunities, and solutions. - Ashutosh Dhar Dwivedi; Rajani Singh; Keshav Kaushik; Raghava Rao Mukkamala; Waleed S. Alnumay (Trans. Emerg. Telecommun. Technol., 2024)

Detecting faults in the cooling systems by monitoring temperature and energy. - Keshav Kaushik; Vinayak Naik (Energy Inform., 2024)

Residual Network-Based Deep Learning Framework for Diabetic Retinopathy Detection. - Keshav Kaushik; Akashdeep Bhardwaj; Xiaochun Cheng; Susheela Dahiya; Achyut Shankar; Manoj Kumar 009; Tushar Mehrotra (J. Database Manag., 2025)

Fuzzy inference rule based task offloading model (FI-RBTOM) for edge computing. - Kashif Ibrahim; Ahthasham Sajid; Ihsan Ullah; Inam Ullah Khan; Keshav Kaushik; S. S. Askar; Mohamed Abouhawwash (PeerJ Comput. Sci., 2025)

Guest Editorial: Advancing Personalized Healthcare Integrating AI and Health Informatics. - Aryan Chaudhary; Vikas Khullar; Keshav Kaushik (IEEE J. Biomed. Health Informatics, 2025)