Design and Implementation of an Improved Datacenter Broker Policy to Improve the QoS of a Cloud. - Tamojit Chatterjee; Varun Kumar Ojha; Mainak Adhikari; Sourav Banerjee; Utpal Biswas; Václav Snásel (IBICA, 2014)

Efficient algorithm for workflow scheduling in cloud computing environment. - Mainak Adhikari; Tarachand Amgoth (IC3, 2016)

Design and analysis of an efficient QoS improvement policy in cloud computing. - Sourav Banerjee; Mainak Adhikari; Utpal Biswas (Serv. Oriented Comput. Appl., 2017)

Multi-Objective Accelerated Particle Swarm Optimization Technique for Scientific workflows in IaaS cloud. - Mainak Adhikari; Tarachand Amgoth (ICACCI, 2018)

Diabetes Prediction Model Using Cloud Analytics. - Soumavadeen Manna; Swaaata Maity; Souvik Munshi; Mainak Adhikari (ICACCI, 2018)

Dynamic Load Balancing Strategy based on Resource Classification Technique in IaaS Cloud. - Souvik Paul; Mainak Adhikari (ICACCI, 2018)

Heuristic-based load-balancing algorithm for IaaS cloud. - Mainak Adhikari; Tarachand Amgoth (Future Gener. Comput. Syst., 2018)

An intelligent water drops-based workflow scheduling for IaaS cloud. - Mainak Adhikari; Tarachand Amgoth (Appl. Soft Comput., 2019)

A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends. - Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (ACM Comput. Surv., 2019)

Energy efficient offloading strategy in fog-cloud environment for IoT applications. - Mainak Adhikari; Hemant Gianey (Internet Things, 2019)

Meta heuristic-based task deployment mechanism for load balancing in IaaS cloud. - Mainak Adhikari; Sudarshan Nandy; Tarachand Amgoth (J. Netw. Comput. Appl., 2019)

Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment. - Mainak Adhikari; Satish Narayana Srirama (J. Netw. Comput. Appl., 2019)

Resource Management for Processing Wide Area Data Streams on Supercomputers. - Joaquin Chung 001; Mainak Adhikari; Satish Narayana Srirama; Eun-Sung Jung; Rajkumar Kettimuthu (ICCCN, 2020)

Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach. - Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (Appl. Soft Comput., 2020)

DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing. - Mainak Adhikari; Mithun Mukherjee 001; Satish Narayana Srirama (IEEE Internet Things J., 2020)

Application Offloading Strategy for Hierarchical Fog Environment Through Swarm Optimization. - Mainak Adhikari; Satish Narayana Srirama; Tarachand Amgoth (IEEE Internet Things J., 2020)

Application deployment using containers with auto-scaling for microservices in cloud environment. - Satish Narayana Srirama; Mainak Adhikari; Souvik Paul (J. Netw. Comput. Appl., 2020)

Joint Computation Offloading and Scheduling Optimization of IoT Applications in Fog Networks. - Abhishek Hazra; Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (IEEE Trans. Netw. Sci. Eng., 2020)

Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network. - Abhishek Hazra; Prakash Choudhary; Sanasam Chanu Inunganbi; Mainak Adhikari (Appl. Intell., 2021)

Akka framework based on the Actor model for executing distributed Fog Computing applications. - Satish Narayana Srirama; Freddy Marcelo Surriabre Dick; Mainak Adhikari (Future Gener. Comput. Syst., 2021)

iCovidCare: Intelligent health monitoring framework for COVID-19 using ensemble random forest in edge networks. - Mainak Adhikari; Ambigavathi Munusamy (Internet Things, 2021)

Stackelberg Game for Service Deployment of IoT-Enabled Applications in 6G-Aware Fog Networks. - Abhishek Hazra; Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (IEEE Internet Things J., 2021)

Random Forest for Data Aggregation to Monitor and Predict COVID-19 Using Edge Networks. - Mainak Adhikari; M. Ambigavathi; Varun G. Menon; Mohammad Hammoudeh (IEEE Internet Things Mag., 2021)

A Roadmap of Next-Generation Wireless Technology for 6G-Enabled Vehicular Networks. - Mainak Adhikari; Abhishek Hazra; Varun G. Menon; Brijesh Kumar Chaurasia; Shahid Mumtaz (IEEE Internet Things Mag., 2021)

CTT: Load Test Automation for TOSCA-based Cloud Applications. - Thomas F. Düllmann; André van Hoorn; Vladimir Yussupov; Pelle Jakovits; Mainak Adhikari (ICPE (Companion), 2022)

Security in Edge-Centric Intelligent Internet of Vehicles: Issues and Remedies. - Mainak Adhikari; Ambigavathi Munusamy; Abhishek Hazra; Varun G. Menon; Vijay Anavangot; Deepak Puthal (IEEE Consumer Electron. Mag., 2022)

6G-Enabled Ultra-Reliable Low-Latency Communication in Edge Networks. - Mainak Adhikari; Abhishek Hazra (IEEE Commun. Stand. Mag., 2022)

IBoNN: Intelligent Agent-based Internet of Medical Things framework for detecting brain response from Electroencephalography signal using Bag-of-Neural Network. - Sudarshan Nandy; Mainak Adhikari; Supriya Chakraborty; Ahmed Alkhayyat 001; Neeraj Kumar 001 (Future Gener. Comput. Syst., 2022)

Dynamic Task Placement for Deadline-Aware IoT Applications in Federated Fog Networks. - Indranil Sarkar; Mainak Adhikari; Neeraj Kumar 001; Sanjay Kumar (IEEE Internet Things J., 2022)

A Collaborative Computational Offloading Strategy for Latency-Sensitive Applications in Fog Networks. - Indranil Sarkar; Mainak Adhikari; Neeraj Kumar 001; Sanjay Kumar (IEEE Internet Things J., 2022)

Deep Reinforcement Learning for Intelligent Service Provisioning in Software-Defined Industrial Fog Networks. - Indranil Sarkar; Mainak Adhikari; Sanjay Kumar; Varun G. Menon (IEEE Internet Things J., 2022)

Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services. - Abhishek Hazra; Mainak Adhikari; Sudarshan Nandy; Khushbu Doulani; Varun G. Menon (IEEE Netw., 2022)

A comprehensive survey on nature-inspired algorithms and their applications in edge computing: Challenges and future directions. - Mainak Adhikari; Satish Narayana Srirama; Tarachand Amgoth (Softw. Pract. Exp., 2022)

Guest Editorial: Recent Advances in Fuzzy-Based Intelligent IoT and Cyber-Physical Systems. - Mainak Adhikari; Varun G. Menon; Ju H. Park 001; Danda B. Rawat (IEEE Trans. Fuzzy Syst., 2022)

Cybertwin-Driven Resource Provisioning for IoE Applications at 6G-Enabled Edge Networks. - Mainak Adhikari; Ambigavathi Munusamy; Neeraj Kumar 001; Satish Narayana Srirama (IEEE Trans. Ind. Informatics, 2022)

An Intrusion Detection Mechanism for Secured IoMT Framework Based on Swarm-Neural Network. - Sudarshan Nandy; Mainak Adhikari; Mohammad Ayoub Khan; Varun G. Menon; Sandeep Verma (IEEE J. Biomed. Health Informatics, 2022)

Intelligent Service Deployment Policy for Next-Generation Industrial Edge Networks. - Abhishek Hazra; Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (IEEE Trans. Netw. Sci. Eng., 2022)

Communication-Efficient Federated Learning for Real-time Applications in Edge Networks. - Neha Singh; Tanmay Tripathi; Mainak Adhikari (ANTS, 2023)

Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework. - Vikas Singh; Neha Singh; Mainak Adhikari (CCGridW, 2023)

Edge-Assisted Framework for Malaria Parasite Detection on Cell Images Using Federated Learning. - Amrita Rajput; Shikhar Saxena; Mainak Adhikari (GLOBECOM, 2023)

SVM Kernel and It's Aggregation Using Stacking on Imbalanced Dataset. - Zainab Fatima; Khushbu Doulani; Mainak Adhikari (IC3, 2023)

Semantic Analysis and Classification of Emails through Informative Selection of Features and Ensemble AI Model. - Shivangi Sachan; Khushbu Doulani; Mainak Adhikari (IC3, 2023)

A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions. - Abhishek Hazra; Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (ACM Comput. Surv., 2023)

Quantum computing in India: Recent developments and future. - Varun G. Menon; Mainak Adhikari (IET Quantum Commun., 2023)

Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks. - Mainak Adhikari; Abhishek Hazra; Sudarshan Nandy (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Guest Editorial Introduction to the Special Section on Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT. - Mainak Adhikari; Varun G. Menon; Danda B. Rawat; Xingwang Li 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Collaborative AI-Enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks. - Abhishek Hazra; Mainak Adhikari; Tarachand Amgoth; Satish Narayana Srirama (IEEE Internet Things J., 2023)

NEAT: A Resilient Deep Representational Learning for Fault Detection Using Acoustic Signals in IIoT Environment. - Muhammad Aslam Jarwar; Sunder Ali Khowaja; Kapal Dev; Mainak Adhikari; Saqib Hakak (IEEE Internet Things J., 2023)

Service Deployment Strategy for Predictive Analysis of FinTech IoT Applications in Edge Networks. - Ambigavathi Munusamy; Mainak Adhikari; Venki Balasubramanian; Mohammad Ayoub Khan; Varun G. Menon; Danda B. Rawat; Satish Narayana Srirama (IEEE Internet Things J., 2023)

Edge-Centric Secure Service Provisioning in IoT-Enabled Maritime Transportation Systems. - Ambigavathi Munusamy; Mainak Adhikari; Mohammad Ayoub Khan; Varun G. Menon; Satish Narayana Srirama; Linss T. Alex; Mohammad Reza Khosravi (IEEE Trans. Intell. Transp. Syst., 2023)

Artificial Intelligence-Empowered Logistic Traffic Management System Using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks. - Monagi H. Alkinani; Abdulwahab Ali Almazroi; Mainak Adhikari; Varun G. Menon (IEEE Trans. Intell. Transp. Syst., 2023)

Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges. - Abhishek Hazra; Pradeep Rana; Mainak Adhikari; Tarachand Amgoth (Comput. Sci. Rev., 2023)

Guest Editorial Advanced Wearable Sensors for Smart Monitoring and Disease Prediction. - Varun G. Menon; Mainak Adhikari; D. Jude Hemanth; Danda B. Rawat (IEEE J. Biomed. Health Informatics, 2023)

An intelligent heart disease prediction system based on swarm-artificial neural network. - Sudarshan Nandy; Mainak Adhikari; Venki Balasubramanian; Varun G. Menon; Xingwang Li 001; Muhammad Zakarya (Neural Comput. Appl., 2023)

FedNorm: Optimised Federated Learning Strategy Using Hybrid Regularisation Norm. - Binu John; Varun G. Menon; Mainak Adhikari (BDA, 2024)

Data Analysis with Model Explainability for Air Quality and Pollution Prediction of Urban Areas in Edge Networks. - Akansha Singh; Soumendu Chakraborty; Mainak Adhikari (BDA, 2024)

Deep reinforcement learning in edge networks: Challenges and future directions. - Abhishek Hazra; Veera Manikantha Rayudu Tummala; Nabajyoti Mazumdar; Dipak Kumar Sah; Mainak Adhikari (Phys. Commun., 2024)

Real-Time Prediction Using Fog-Based Federated Learning and Genetic Hyperparameter Optimisation. - Rupali Patole; Mainak Adhikari (IEEE Trans. Netw. Sci. Eng., 2024)

Blockchain for Cybersecurity in Edge Networks. - Abhishek Hazra; Ahmed Alkhayyat 001; Mainak Adhikari (IEEE Consumer Electron. Mag., 2024)

Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope. - Sudarshan Nandy; Mainak Adhikari; Arunava Ray; Rajesh Rai; T. N. Singh (IEEE Internet Things J., 2024)

Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics. - Khushbu Doulani; Amrita Rajput; Abhishek Hazra; Mainak Adhikari; Amit Kumar Singh 001 (IEEE Trans. Consumer Electron., 2024)

Multi-View Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks. - Rupali Patole; Neha Singh; Mainak Adhikari; Amit Kumar Singh 001 (IEEE Trans. Consumer Electron., 2024)

Personalized Federated Learning for Heterogeneous Edge Device: Self-Knowledge Distillation Approach. - Neha Singh; Jatin Rupchandani; Mainak Adhikari (IEEE Trans. Consumer Electron., 2024)

Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks. - Abhishek Hazra; Mainak Adhikari; Dipak Kumar Sah; Tarachand Amgoth (IEEE Trans. Netw. Serv. Manag., 2024)

6G-Enabled Ultra-Reliable Low Latency Communication for Industry 5.0: Challenges and Future Directions. - Abhishek Hazra; Ambigavathi Munusamy; Mainak Adhikari; Lalit Kumar Awasthi; Venu P (IEEE Commun. Stand. Mag., 2024)

Zippy Random Access Protocol for Critical Data Transmission in Consumer Healthcare Applications. - Ambigavathi Munusamy; Mainak Adhikari (IEEE Trans. Consumer Electron., 2024)

Digital Twin-based Dynamic Resource Provisioning Using Deep Q-Network on 6G-enabled Mobile Edge Networks. - Suja A. Alex; Neha Singh; Mainak Adhikari (COMSNETS, 2025)

PopFL: A scalable Federated Learning model in serverless edge computing integrating with dynamic pop-up network. - Neha Singh; Mainak Adhikari (Ad Hoc Networks, 2025)

Guest Editorial: Edge Intelligence for Next Generation Industrial IoT Applications. - Varun G. Menon; Mainak Adhikari; Brij Bhooshan Gupta; Abhishek Hazra; Spyridon Mastorakis (IET Networks, 2025)

SelfFed: Self-adaptive Federated Learning with Non-IID data on Heterogeneous Edge Devices for Bias Mitigation and Enhance Training Efficiency. - Neha Singh; Mainak Adhikari (Inf. Fusion, 2025)

Integrated probabilistic clustering and Deep Reinforcement Learning for bias mitigation and device heterogeneity of Federated Learning in edge networks. - Neha Singh; Mainak Adhikari (J. Netw. Comput. Appl., 2025)

A Hybrid Semi-Asynchronous Federated Learning and Split Learning Strategy in Edge Networks. - Neha Singh; Mainak Adhikari (IEEE Trans. Netw. Sci. Eng., 2025)

Large Model-Assisted Federated Learning for Object Detection of Autonomous Vehicles in Edge. - Saswat Behera; Mainak Adhikari; Varun G. Menon; Mohammad Ayoub Khan (IEEE Trans. Veh. Technol., 2025)

Blockchain-based trust management for data exchange in internet of vehicle network. - Sandeep Srivastava; Deepshikha Agarwal; Brijesh Kumar Chaurasia; Mainak Adhikari (Multim. Tools Appl., 2025)