BAAP-FIoT: Blockchain-Assisted Authentication Protocol for Fog-Enabled Internet of Things Environment - Raveendra Babu Ponnuru; Sathish A. P. Kumar; Mohamed Azab; Goutham Reddy Alavalapati (IEEE Internet Things J., 2025)

Adaptive neural network for quantum error mitigation - Temitope Adeniyi; Sathish A. P. Kumar (Quantum Mach. Intell., 2025)

ReLAQA: Reinforcement Learning-Based Autonomous Quantum Agent for Quantum Applications - Ahmad Alomari; Sathish A. P. Kumar (IEEE Trans. Artif. Intell., 2025)

NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations - Gurinder Singh; Kapil Rana; Puneet Goyal; Sathish A. P. Kumar (IEEE Trans. Artif. Intell., 2025)

GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits - Ahmad Alomari; Sathish A. P. Kumar (CoRR, 2025)

MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories - Natalie Tirabassi; Sathish A. P. Kumar; Sumit Jha; Arvind Ramanathan (CoRR, 2025)

Enhanced Penalty-based Bidirectional Reinforcement Learning Algorithms - Sai Gana Sandeep Pula; Sathish A. P. Kumar; Sumit Jha; Arvind Ramanathan (CoRR, 2025)

ACE-RLHF: Automated Code Evaluation and Socratic Feedback Generation Tool using Large Language Models and Reinforcement Learning with Human Feedback - Tasnia Rahman; Sathish A. P. Kumar; Sumit Kumar Jha; Arvind Ramanathan (CoRR, 2025)

Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions - Ryhan Uddin; Sathish A. P. Kumar; Vinay Chamola (Ad Hoc Networks, 2024)

Quantum secure authentication and key agreement protocols for IoT-enabled applications: A comprehensive survey and open challenges - Raveendra Babu Ponnuru; Sathish A. P. Kumar; Alavalapati Goutham Reddy; Ashok Kumar Das (Comput. Sci. Rev., 2024)

Securing IoT systems in a post-quantum environment: Vulnerabilities, attacks, and possible solutions - Ahmad Alomari; Sathish A. P. Kumar (Internet Things, 2024)

EC-YOLOX: A Deep-Learning Algorithm for Floating Objects Detection in Ground Images of Complex Water Environments - Jiaxin He; Yong Cheng; Wei Wang; Yakang Gu; Yixuan Wang; Wenjie Zhang; Achyut Shankar; Shitharth Selvarajan; Sathish A. P. Kumar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Reinforcement Learning Based Actor Critic and Policy Agent for Optimized Quantum Sensor Circuit Design - Temitope Adeniyi; Sathish A. P. Kumar (IEEE International Conference on Quantum Computing and Engineering, QCE 2024, Montreal, QC, Canada, September 15-20, 2024, 2024)

QRA: Quantum Reinforcement Agent for Generating Optimal Quantum Sensor Circuits - Ahmad Alomari; Sathish A. P. Kumar (IEEE International Conference on Quantum Computing and Engineering, QCE 2024, Montreal, QC, Canada, September 15-20, 2024, 2024)

DEQSVC: Dimensionality Reduction and Encoding Technique for Quantum Support Vector Classifier Approach to Detect DDoS Attacks - Ahmad Alomari; Sathish A. P. Kumar (IEEE Access, 2023)

A novel continuous authentication method using biometrics for IOT devices - Dipen R. Bhuva; Sathish A. P. Kumar (Internet Things, 2023)

Detection and Localization of DDoS Attack During Inter-Slice Handover in 5G Network Slicing - Himanshu Bisht; Moumita Patra; Sathish A. P. Kumar (20th IEEE Consumer Communications & Networking Conference, CCNC 2023, Las Vegas, NV, USA, January 8-11, 2023, 2023)

Design of Quantum Machine Learning Course for a Computer Science Program - Sathish A. P. Kumar; Temitope Adeniyi; Ahmad Alomari; Santanu Ganguly (IEEE International Conference on Quantum Computing and Engineering, QCE 2023, Bellevue, WA, USA, September 17-22, 2023, 2023)

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions - Anastasios N. Bikos; Sathish A. P. Kumar (IEEE Access, 2022)

Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec) - Suyel Namasudra; Rubén González Crespo; Sathish A. P. Kumar (Comput. Electr. Eng., 2022)

Hybridization of Mean Shift Clustering and Deep Packet Inspected Classification for Network Traffic Analysis - Sathish A. P. Kumar; A. Suresh; S. Raj Anand; K. Chokkanathan; M. Vijayasarathy (Wirel. Pers. Commun., 2022)

Intelligent Vehicle Parking System (IVPS) Using Wireless Sensor Networks - Sathish A. P. Kumar; Resmi R. Nair; E. Kannan; A. Suresh; S. Raj Anand (Wirel. Pers. Commun., 2022)

Emotion and Sentiment Recognition using Natural Language Processing and Machine Learning Techniques during Disaster Situation - Peter Hart; Tasnia Rahman; Sathish A. P. Kumar (IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022, 2022)

Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis - Sathish A. P. Kumar; Manu S. Pillai; Zhenlong Li (IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022, 2022)

SDN-based Federated Learning approach for Satellite-IoT Framework to Enhance Data Security and Privacy in Space Communication - Ryhan Uddin; Sathish A. P. Kumar (IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2022, Winnipeg, MB, Canada, October 12-14, 2022, 2022)

Enhancing Space Security Utilizing the Blockchain: Current Status and Future Directions - Anastasios N. Bikos; Sathish A. P. Kumar (IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2022, Winnipeg, MB, Canada, October 12-14, 2022, 2022)

Extorsionware: Exploiting Smart Contract Vulnerabilities for Fun and Profit - Alessandro Brighente; Mauro Conti; Sathish A. P. Kumar (CoRR, 2022)

5G Security Challenges and Solutions: A Review by OSI Layers - S. Sullivan; Alessandro Brighente; Sathish A. P. Kumar; Mauro Conti (IEEE Access, 2021)

Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression - Javad Artin; Amin Valizadeh; Mohsen Ahmadi; Sathish A. P. Kumar; Abbas Sharifi (Complex., 2021)

Reinforcement Learning-Based Anomaly Detection for Internet of Things Distributed Ledger Technology - Anastasios N. Bikos; Sathish A. P. Kumar (IEEE Symposium on Computers and Communications, ISCC 2021, Athens, Greece, September 5-8, 2021, 2021)

Ensemble Algorithm using Transfer Learning for Sheep Breed Classification - Divyansh Agrawal; Sachin Minocha; Suyel Namasudra; Sathish A. P. Kumar (15th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2021, Timisoara, Romania, May 19-21, 2021, 2021)

3D Face Reconstruction From Single 2D Image Using Distinctive Features - Hafiz Muhammad Rehan Afzal; Suhuai Luo; Muhammad Kamran Afzal; Gopal Chaudhary; Manju Khari; Sathish A. P. Kumar (IEEE Access, 2020)

A review of topic modeling methods - Ike Vayansky; Sathish A. P. Kumar (Inf. Syst., 2020)

Evaluation of Classification algorithms for Distributed Denial of Service Attack Detection - Maulik Gohil; Sathish A. P. Kumar (3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020, Laguna Hills, CA, USA, December 9-13, 2020, 2020)

A Reflective Neural Network Based Learning Framework for Intelligent Physical Systems - Sathish A. P. Kumar; Michael A. Brown (6th IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2020, Baltimore, MD, USA, May 25-27, 2020, 2020)

A Survey of Intelligent Transportation Systems Security: Challenges and Solutions - Julie L. Harvey; Sathish A. P. Kumar (6th IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2020, Baltimore, MD, USA, May 25-27, 2020, 2020)

Machine Learning-Based Models for Assessing Physical and Social Impacts Before, During and After Hurricane Michael - Julie L. Harvey; Sathish A. P. Kumar; Shaowu Bao (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020, 2020)

Data Analysis of Lead Contamination in New York - John Shelley; Manu S. Pillai; Sathish A. P. Kumar (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020, 2020)

Flooding disaster resilience information framework for smart and connected communities - Sathish A. P. Kumar; Shaowu Bao; Vivek K. Singh; Jason O. Hallstrom (J. Reliab. Intell. Environ., 2019)

Topic modeling and sentiment analysis of global climate change tweets - Biraj Dahal; Sathish A. P. Kumar; Zhenlong Li (Soc. Netw. Anal. Min., 2019)

An Evaluation of Geotagged Twitter Data during Hurricane Irma Using Sentiment Analysis and Topic Modeling for Disaster Resilience - Ike Vayansky; Sathish A. P. Kumar; Zhenlong Li (2019 IEEE International Symposium on Technology and Society, ISTAS 2019, Medford, MA, USA, November 15-16, 2019, 2019)

Machine Learning for Predicting Development of Asthma in Children - Julie L. Harvey; Sathish A. P. Kumar (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 2019)

Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence - Julie L. Harvey; Sathish A. P. Kumar; Shaowu Bao (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 2019)

Data Science for K-12 Education - Julie L. Harvey; Sathish A. P. Kumar (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 2019)

A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning - Julie L. Harvey; Sathish A. P. Kumar (IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019, 2019)

Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud - Jialei Liu; Shangguang Wang; Ao Zhou; Xiang Xu; Sathish A. P. Kumar; Fangchun Yang (Comput. J., 2018)

A novel digital twin-centric approach for driver intention prediction and traffic congestion avoidance - Sathish A. P. Kumar; R. Madhumathi; Pethuru Raj Chelliah; Lei Tao; Shangguang Wang (J. Reliab. Intell. Environ., 2018)

Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability - Jialei Liu; Shangguang Wang; Ao Zhou; Sathish A. P. Kumar; Fangchun Yang; Rajkumar Buyya (IEEE Trans. Cloud Comput., 2018)

Spatio-Temporal Reasoning within a Neural Network framework for Intelligent Physical Systems - Sathish A. P. Kumar; Michael A. Brown (IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018, 2018)

A Machine Learning Based Approach to Detect Malicious Fast Flux Networks - Sathish A. P. Kumar; Brian Xu (IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018, 2018)

Vulnerability Assessment for Security in Aviation Cyber-Physical Systems - Sathish A. P. Kumar; Brian Xu (4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017, New York, NY, USA, June 26-28, 2017, 2017)

A Cloud-Based Service Delivery Platform for Effective Homeland Security - Pethuru Raj Chelliah; Sathish A. P. Kumar (4th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2017, New York, NY, USA, June 26-28, 2017, 2017)

A Simulation Study to Detect Attacks on Internet of Things - David Eastman; Sathish A. P. Kumar (15th IEEE Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress, DASC/PiCom/DataCom/CyberSciTech 2017, Orlando, FL, USA, November 6-10, 2017, 2017)

MVR: An Architecture for Computation Offloading in Mobile Edge Computing - Xiaojuan Wei; Shangguang Wang; Ao Zhou; Jinliang Xu; Sen Su; Sathish A. P. Kumar; Fangchun Yang (IEEE International Conference on Edge Computing, EDGE 2017, Honolulu, HI, USA, June 25-30, 2017, 2017)

Securing IoT-Based Cyber-Physical Human Systems against Collaborative Attacks - Sathish A. P. Kumar; Bharat K. Bhargava; Raimundo José de Araújo Macêdo; Ganapathy Mani (2017 IEEE International Congress on Internet of Things, ICIOT 2017, Honolulu, HI, USA, June 25-30, 2017, 2017)

Latent Interest and Topic Mining on User-Item Bipartite Networks - Jinliang Xu; Shangguang Wang; Sen Su; Sathish A. P. Kumar; Chou Wu (IEEE International Conference on Services Computing, SCC 2016, San Francisco, CA, USA, June 27 - July 2, 2016, 2016)