A Neural Network-Based Appliance Scheduling Methodology for Smart Homes and Buildings with Multiple Power Sources. - Raj Mani Shukla; Prasanna Kansakar; Arslan Munir (iNIS, 2016)

A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices. - Raj Mani Shukla; Arslan Munir (iNIS, 2016)

An efficient computation offloading architecture for the Internet of Things (IoT) devices. - Raj Mani Shukla; Arslan Munir (CCNC, 2017)

A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles. - Raj Mani Shukla; Shamik Sengupta (NCA, 2017)

Smart plug-in electric vehicle charging to reduce electric load variation at a parking place. - Raj Mani Shukla; Shamik Sengupta; Amar Nath Patra (CCWC, 2018)

Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles. - Raj Mani Shukla; Shamik Sengupta; Amar Nath Patra (CCWC, 2018)

Software-defined network and cloud-edge collaboration for smart and connected vehicles. - Raj Mani Shukla; Shamik Sengupta; Mainak Chatterjee (ICDCN Workshops, 2018)

Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application. - Raj Mani Shukla; Shamik Sengupta (UEMCON, 2018)

Anomaly Detection using Supervised Learning and Multiple Statistical Methods. - Watson Jia; Raj Mani Shukla; Shamik Sengupta (ICMLA, 2019)

COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging. - Raj Mani Shukla; Shamik Sengupta (Internet Things, 2020)

Scalable and Robust Outlier Detector using Hierarchical Clustering and Long Short-Term Memory (LSTM) Neural Network for the Internet of Things. - Raj Mani Shukla; Shamik Sengupta (Internet Things, 2020)

Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. - Aaron Walker; Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (GLOBECOM, 2021)

The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. - Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (NCA, 2021)

Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. - Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (WF-IoT, 2021)

Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. - Narayan Bhusal; Raj Mani Shukla; Mukesh Gautam; Mohammed Benidris; Shamik Sengupta (CoRR, 2021)

Erratum to "COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging" [Internet of Things, volume 9, March 2020, 100148]. - Raj Mani Shukla; Shamik Sengupta (Internet Things, 2021)

Ohana Means Family: Malware Family Classification using Extreme Learning Machines. - Aaron Walker; Raj Mani Shukla; Tapadhir Das; Shamik Sengupta (CCNC, 2022)

Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. - Raj Mani Shukla; John Cartlidge (CCWC, 2022)

A novel machine learning pipeline to detect malicious anomalies for the Internet of Things. - Raj Mani Shukla; Shamik Sengupta (Internet Things, 2022)

UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. - Tapadhir Das; Osama Abu Hamdan; Raj Mani Shukla; Shamik Sengupta; Engin Arslan (CCNC, 2023)

A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting. - Manas Ranjan Mohapatra; Rahul Radhakrishnan; Raj Mani Shukla (iSES, 2023)

Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis. - Aaron Walker; Raj Mani Shukla; Tapadhir Das; Shamik Sengupta (MCNA, 2023)

Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. - Lochana Telugu Rajesh; Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (TrustCom, 2023)

Histopathological Image Classification and Vulnerability Analysis using Federated Learning. - Sankalp Vyas; Amar Nath Patra; Raj Mani Shukla (TrustCom, 2023)

A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images. - Agnes Barsi; Suvendu Chandan Nayak; Sasmita Parida; Raj Mani Shukla (CoRR, 2023)

Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks. - Aysha Thahsin Zahir Ismail; Raj Mani Shukla (CoRR, 2023)

Analyzing the Impact of Adversarial Examples on Explainable Machine Learning. - Prathyusha Devabhakthini; Sasmita Parida; Raj Mani Shukla; Suvendu Chandan Nayak (CoRR, 2023)

What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things. - Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (IEEE Netw., 2023)

From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks. - Farah Aladwan; Raj Mani Shukla; Hossein Abroshan; Shareeful Islam; Ronak Al-Haddad (IEEE Big Data, 2024)

Fortifying SplitFed Learning: Strengthening Resilience Against Malicious Clients. - Ashwin Kumaar; Raj Mani Shukla; Amar Nath Patra (IECON, 2024)

Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection. - Shashank Pulijala; Sara Shahin; Tapadhir Das; Raj Mani Shukla (IECON, 2024)

Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation. - Gowtham Vinjamuri; Suvendu Chandan Nayak; Rekha Sahu; Raj Mani Shukla; Tapadhir Das (IECON, 2024)

Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. - Angela Grace Famera; Raj Mani Shukla; Suman Bhunia (SysCon, 2024)

Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. - Tomisin Awosika; Raj Mani Shukla; Bernardi Pranggono (IEEE Access, 2024)

Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks. - Tapadhir Das; Raj Mani Shukla; Suman Rath; Shamik Sengupta (IEEE Trans. Netw. Sci. Eng., 2025)

Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems. - Tapadhir Das; Raj Mani Shukla; Shamik Sengupta (IEEE Trans. Netw. Sci. Eng., 2025)