Efficient Target Recovery in Wireless Sensor Network. - Shailaja C. Patil; Ashish Gupta 012; Mukesh A. Zaveri (ACITY (1), 2012)

Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network. - Shailaja C. Patil; Ashish Gupta 012; Mukesh A. Zaveri (J. Comput. Networks Commun., 2014)

A Supervised Approach-based Job Scheduling Technique for Distributed Real-Time Systems. - Manu Agrawal; Kartik Manchanda; Akshita Agarwal; Surbhi Saraswat; Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (ANTS, 2018)

A Real-time Precision Agriculture Monitoring System using Mobile Sink in WSNs. - Ashish Gupta 012; Hari Prabhat Gupta; Preti Kumari; Rahul Mishra 001; Surbhi Saraswat; Tanima Dutta (ANTS, 2018)

Early Classification Approach for Multivariate Time Series using Sensors of Different Sampling Rate. - Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (SECON, 2019)

Game Theory based Early Classification of Rivers using Time Series Data. - Ashish Gupta 012; Rajdeep Pal; Rahul Mishra 001; Hari Prabhat Gupta; Tanima Dutta; Priyank Hirani (WF-IoT, 2019)

Challenges and solutions in Software Defined Networking: A survey. - Surbhi Saraswat; Vishal Agarwal; Hari Prabhat Gupta; Rahul Mishra 001; Ashish Gupta 012; Tanima Dutta (J. Netw. Comput. Appl., 2019)

Towards Identifying Alien Appliances using Semantic Information. - Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta; Sajal K. Das 001 (BuildSys, 2020)

Approaches and Applications of Early Classification of Time Series: A Review. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas; Tanima Dutta (IEEE Trans. Artif. Intell., 2020)

An Incremental Learning Based Gesture Recognition System for Consumer Devices Using Edge-Fog Computing. - Surbhi Saraswat; Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (IEEE Trans. Consumer Electron., 2020)

A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas; Tanima Dutta (ACM Trans. Internet Things, 2020)

An Early Classification Approach for Multivariate Time Series of On-Vehicle Sensors in Transportation. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas; Tanima Dutta (IEEE Trans. Intell. Transp. Syst., 2020)

Accelerometer, Gyroscope, and Magnetometer Sensors based Data for Recognizing Handwritten Digits. - Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta; Rahul Mishra 001; Ramakant Kumar (IEEE DataPort, 2020)

Early Classification Approaches for Sensors Generated Multivariate Time Series with Different Challenges. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas (ICDCN, 2021)

A Deep Learning based Traffic Flow Classification with Just a Few Packets. - Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (INFOCOM Workshops, 2021)

Towards Identifying Internet Applications Using Early Classification of Traffic Flow. - Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (Networking, 2021)

YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback. - Ashish Gupta 012; Hari Prabhat Gupta (IEEE Trans. Artif. Intell., 2021)

An Unseen Fault Classification Approach for Smart Appliances Using Ongoing Multivariate Time Series. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas; Tanima Dutta (IEEE Trans. Ind. Informatics, 2021)

A Fault-Tolerant Early Classification Approach for Human Activities Using Multivariate Time Series. - Ashish Gupta 012; Hari Prabhat Gupta; Bhaskar Biswas; Tanima Dutta (IEEE Trans. Mob. Comput., 2021)

Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. - Ashish Gupta 012; Tie Luo 001; Mao V. Ngo; Sajal K. Das 001 (ESORICS (3), 2022)

Securing Federated Learning against Overwhelming Collusive Attackers. - Priyesh Ranjan; Ashish Gupta 012; Federico Coro; Sajal K. Das 001 (GLOBECOM, 2022)

Leveraging Spanning Tree to Detect Colluding Attackers in Federated Learning. - Priyesh Ranjan; Federico Corò; Ashish Gupta 012; Sajal K. Das 001 (INFOCOM Workshops, 2022)

FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings. - Ashish Gupta 012; Hari Prabhat Gupta; Sajal K. Das 001 (CoRR, 2022)

A Sensors Based Deep Learning Model for Unseen Locomotion Mode Identification using Multiple Semantic Matrices. - Rahul Mishra 001; Ashish Gupta 012; Hari Prabhat Gupta; Tanima Dutta (IEEE Trans. Mob. Comput., 2022)

Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning? - Ashish Gupta 012; George Markowsky; Sajal K. Das 001 (ECAI, 2023)

FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments. - Ashish Gupta 012; Hari Prabhat Gupta; Sajal K. Das 001 (ICCPS, 2023)

Preserving Privacy in Image Database through Bit-planes Obfuscation. - Vishesh Kumar Tanwar; Ashish Gupta 012; Sanjay Madria; Sajal K. Das 001 (ICDEW, 2023)

Robust Federated Learning against Backdoor Attackers. - Priyesh Ranjan; Ashish Gupta 012; Federico Coro; Sajal K. Das 001 (INFOCOM Workshops, 2023)

Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production. - Behzad J. Balabaygloo; Barituka Bekee; Samuel W. Blair; Suzanne Fey; Fateme Fotouhi; Ashish Gupta 012; Kevin Menke; Anusha Vangala; Jorge C. M. Palomares; Aaron Prestholt; Vishesh Kumar Tanwar; Xu Tao; et al. (CoRR, 2023)

Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach. - Rahul Mishra 001; Ashish Gupta 012; Hari Prabhat Gupta (IEEE Trans. Mob. Comput., 2023)

Tackling Selfish Clients in Federated Learning. - Andrea Augello; Ashish Gupta 012; Giuseppe Lo Re; Sajal K. Das 001 (ECAI, 2024)

Analyzing Real-Time Insect Detection in Smart Connected Farms. - Ashish Gupta 012; Vishesh Kumar Tanwar; Amit Nath Jha; Sajal K. Das 001 (Computer, 2024)

Securing Federated Learning from Distributed Backdoor Attacks via Maximal Clique and Dynamic Reputation System. - Priyesh Ranjan; Ashish Gupta 012; Sajal K. Das 001 (SMARTCOMP, 2025)

When Federated Learning Meets Quantum Computing: Survey and Research Opportunities. - Aakar Mathur; Ashish Gupta 012; Sajal K. Das 001 (CoRR, 2025)