Dr. Mainak Adhikari

Pursuing Post-Doctorate work at Institute of Computer Science, University of Tartu, Estonia Since May 2019 on a European Commission H2020 Project- “RADON: Rational Decomposition and Orchestration for Serverless Computing” with the collaboration of Imperial College of London, UK.

1. Khushbu Doulani, Mainak Adhikari, Abhishek Hazra, “Edge-based Smart Health Monitoring Device for Infectious Disease Prediction using Biosensors”, IEEE Sensors Journal, pp. 1-8, Accepted, In Press, 2023. Impact Factor: 9.936.
2. Sudarshan Nandy, Mainak Adhikari, Arunava Ray, Rajesh Rai, T N Singh, “Edge-centric Intelligent Early WarningSystem for Residual Soil Stability Prediction in Slope”, IEEE Internet of Things, pp. 1-8, Accepted, In Press, 2023. Impact Factor: 9.936.
3. Sudarshan Nandy, Abhishek Hazra, Mainak Adhikari, and Deepak Puthal, “Nanorobot-based Intelligent Symptoms Analysis and Recommendation Framework in Edge Networks”, IEEE Journal of Biomedical and Healthcare Informatics, pp. 1-8, Accepted, In Press, 2023. Impact Factor: 7.021.
4. Abhishek Hazra and Pradeep Rana and Mainak Adhikari and Tarachand Amgoth, “Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges”, Computer Science Review, vol.48, pp. 1-12, 2023,Elsevier, DOI:10.1016/j.cosrev.2023.100549. Impact Factor: 8.757.
5. Abhishek Hazra, Mainak Adhikari, Sudarshan Nandy, Khushbu Doulani, and Varun G Menon, “Federated Learning- Aided Next-Generation Edge Networks for Intelligent Services”, IEEE Network Magazine, vol. 36(3), pp. 56-64, 2022, DOI: 10.1109/MNET.007.2100549. Impact Factor: 10.294.
6. Mainak Adhikari, Abhishek Hazra, Varun G Menon, Brijesh K Chaurasia, and Shahid Mumtaz, “A Roadmap of Next-Generation Wireless Technology for 6G-enabled Vehicular Networks”, IEEE Internet of Things Magazine, pp. 1-8, 2021. (Accepted In print)
7. A. Hazra, M. Adhikari, T. Amgoth, S. N. Srirama, “Intelligent Service Deployment Policy for Next-Generation Industrial Edge Networks”, IEEE Transactions on Network Science and Engineering, pp. 1-10, 2021. (Accepted In print)

3. A. Hazra, M. Adhikari, T. Amgoth, S. N. Srirama, “A Comprehensive Survey on Interoperability in IIoT: Taxonomy, Standards and Future Directions”, ACM Computing Surveys, pp. 1-35, 2021. (Accepted In print)

4. M. Adhikari, S. N. Srirama, and T Amgoth “A Comprehensive Survey on Nature-Inspired Algorithms and Their Applications in Edge Computing: Challenges and Future Directions”, Software: Practice and Experience, pp. 1-38, 2021. (Accepted In print)

5. I. Sarkar, M. Adhikari, N. Kumar, and S. Kumar, “A Collaborative Computational Offloading Strategy for Latency-sensitive Applications in Fog Networks”, IEEE Internet of Things Journal, pp. 1-8, 2021 (In print).

6. A. Munusamy, M. Adhikari, M. A. Khan, V. G. Menon, S. N. Srirama, T. L. Alex, and M. R. Khosravi, “Edge-Centric Secure Service Provisioning in IoT-Enabled Maritime Transportation Systems”, IEEE Transactions on Intelligent Transportation Systems, pp. 1-10, 2021 (In print).

7. S. Nandy, M. Adhikari, M. A. Khan, V. G. Menon, and S. Verma, “An Intrusion Detection Mechanism for Secured IoMT framework based on Swarm-Neural Network”, IEEE Journal of Biomedical and Health Informatics, pp. 1-8, 2021 (In print).

8. M. Adhikari, M. Ambigavathi, V. G. Menon, and M. Hammoudeh,“Random Forest for Data Aggregation to Monitor and Predict COVID-19 Using Edge Networks”, IEEE Internet of Things Magazine, vol. 4(2), pp. 40-44, 2021.

9. M. Adhikari, A. Munusamy, N. Kumar, and S. N. Srirama, “Cybertwin-driven Resource Provisioning for IoE Applications at 6G-enabled Edge Networks”, IEEE Transactions on Industrial Informatics, pp. 1-9, 2021 (In print).

10. S. Nandy, and M. Adhikari, “Intelligent Health Monitoring System for Detection of Symptomatic / Asymptomatic COVID-19 Patient”, IEEE Sensors Journal, pp. 1-9, 2021 (In print).

11. I. Sarkar, M. Adhikari, N. Kumar, and S. Kumar, “Dynamic Task Placement for Deadline-Aware IoT Applications in Federated Fog Networks”, IEEE Internet of Things Journal, pp. 1-10, 2021 (In print).

12. S. Nandy, M. Adhikari, V. Balasubramanian, V. G. Menon, X. Li, X., and M. Zakarya, “An intelligent heart disease prediction system based on swarm-artificial neural network”, Neural Computing and Applications, pp. 1-15, 2021 (In print).

13. Ambigavathi Munusamy, Mainak Adhikari, Venki Balasubramanian, Mohammad Ayoub Khan, Varun G Menon, Danda Rawat, and Satish Narayana Srirama, “Service Deployment Strategy for Predictive Analysis of FinTech IoT Applications in Edge Networks”, IEEE Internet of Things Journal, ISSN: 2327-4662, 2021 (In print).

14. M Adhikari, A Munusamy, “iCovidCare: Intelligent Health Monitoring Framework for COVID-19 using Ensemble Random Forest in Edge Networks”, Internet of Things, pp. 1-14, In Print, 2021.

15. S. N. Srirama, Freddy Marcelo Surriabre Dick, M. Adhikari, “Akka Framework based on the Actor Model for Executing Distributed Fog Computing Applications”, Future Generation Computer Systems, vol. 117, pp. 439-452, 2021.

16. A. Hazra, M. Adhikari, T. Amgoth, S. N. Srirama, “Stackelberg Game for Service Deployment of IoT-enabled Applications in 6G-aware Fog Networks”, IEEE Internet of Things Journal, vol. 8(7), pp. 5185-5193, 2021.

17. A. Hazra, M. Adhikari, T. Amgoth, and S. N. Srirama, “Joint Computation Offloading and Scheduling Optimization in IoT-Assisted Fog Networks”, IEEE Transaction on Network Science and Engineering, vol. 7(4), pp. 3266-3278, 2020.

18. S. N. Srirama, M. Adhikari, and S. Paul, “Application Deployment using Containers with Auto-scaling for Microservices in Cloud Environment”, Journal of Network and Computer Applications, ISSN: 1084-8045, vol. 160, pp. 1-20, 2020. Elsevier.

19. M. Adhikari, S. N. Srirama, and T Amgoth, “Application Offloading Strategy for Hierarchical Fog Environment through Swarm Optimization”, IEEE Internet of Things Journal, vol. 7(5), pp. 4317-4328, 2020, IEEE.

20. M. Adhikari, M. Mukherjee, and S. N. Srirama, “DPTO: A Deadline and Priority-aware Task Offloading in Fog Computing Framework Leveraging Multi-level Feedback Queueing”, IEEE Internet of Things Journal, vol. 7(7), pp. 5773-5782, 2020.

21. Mainak Adhikari, and Satish Narayana Srirama, “Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment”, Journal of Network and Computer Applications, vol. 137, pp. 35-61, 2019. Elsevier.

22. Mainak Adhikari, and Hemant Gianey, “Energy Efficient Offloading Strategy in Fog-Cloud Environment for IoT Applications”, Journal of Internet of Things, vol. 6, pp. 1-16, 2019.Elsevier.(Non-SCI, Scopus Indexed Journal).

During PhD> 

23. M. Adhikari, T. Amgoth, and S. N. Srirama, “A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends”, ACM Computing Surveys, vol. 52(4), pp. 68:1-68:36, ACM Press, New York, USA (2019).

24. M. Adhikari, T. Amgoth, and S. N. Srirama, “Multi-Objective Scheduling Strategy for Scientific Workflows in Cloud Environment: A Firefly-based Approach”, Applied Soft Computing, vol. 93, pp. 1-19, 2020. Elsevier.

25. Mainak Adhikari, and Tarachand Amgoth, “An intelligent water drops-based workflow scheduling for IaaS cloud,” Applied Soft Computing, vol. 77, pp.547-566, 2019. Elsevier.

26. Mainak Adhikari, Sudarshan Nandy, and Tarachand Amgoth, “Meta heuristic-based task deployment mechanism for load balancing in IaaS Cloud,” Journal of Network and Computer Applications (Elsevier), vol. 128, pp. 64-77, 2019. Elsevier.

27. Mainak Adhikari, and Tarachand Amgoth, “Heuristic-based load-balancing algorithm for IaaS cloud,” Future Generation Computer Systems, vol. 81, pp. 156-165, 2018. Elsevier.

During Master’s Program> 

28. Mainak Adhikari, and Santanu Koley, “Cloud Computing: A Multi-workflow Scheduling Algorithm with Dynamic Reusability”, Arabian Journal for Science and Engineering, vol. 43, pp- 645-660, 2018. Springer.

29. Sourav Banerjee, Mainak Adhikari, Sukhendu Kar, and Utpal Biswas, “Development and Analysis of a new Cloudlet Allocation strategy for QoS improvement in Cloud”, Arabian Journal for Science and Engineering, Springer, vol. 40, pp- 1409-1425, 2015. Springer.

30. Sourav Banerjee, Mainak Adhikari, Dipansu Mondal, and Utpal Biswas, “Service Delivery improvement for the Cloud Service Providers and Customers”, International Journal of Computer Applications, vol. 51, pp. 20 – 23, 2012. (Non-SCI, Scopus Indexed Journal).

After PhD> 

1. J. Chung, M. Adhikari, S.N. Srirama, E.S. Jung, and R. Kettimuthu, “Resource Management for Processing Wide Area Data Streams on Supercomputers”, In 2020 29th International Conference on Computer Communications and Networks (ICCCN), pp. 1-6, IEEE, 2020.

During PhD> 

1. Mainak Adhikari and Tarachand Amgoth, “An Enhanced Dynamic Load Balancing mechanism for task deployment in IaaS cloud”, International Conference on Computing, Power and Communication Technologies 2018 (GUCON-2018), pp. 451-456,
2. Mainak Adhikari and Tarachand Amgoth, “Deadline-aware Scheduling for Scientific Workflows in IaaS Cloud”, Second International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS-2018), Springer, pp. 347-360, 

3. Mainak Adhikari and Tarachand Amgoth,“ Multi-Objective Accelerated Particle Swarm Optimization Technique for Scientific workflows in IaaS cloud”, International Conference on Advances in Computing, Communications and Informatics (ICACCI’18), pp. 1448-1454,

4. Mainak Adhikari and Tarachand Amgoth, “Efficient Algorithm for Workflow Scheduling in Cloud Computing Environment”, 2016 Ninth International Conference on Contemporary Computing (IC3-2016), IEEE, pp: 185-189,

During Master’s Program> 

5. Sourav Banerjee, Mainak Adhikari, and Utpal Biswas, “Development of a Smart Job Allocation Model for a Cloud Service Provider”, 2014 2nd International Conference on Business and Information Management (ICBIM), 978-1-4799-3264-1I14/$3l.00 ©2014 IEEE,

6. Tamojit Chatterjee, Varun Kumar Ojha, Mainak Adhikari, Sourav Banerjee, Utpal Biswas, and Vaclav Snasel, “Design and Implementation of a new Datacenter Broker policy to improve the QoS of a Cloud”, Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014, pp- 281-290,

7. Sourav Banerjee, Mainak Adhikari, Dipansu Mondal, and Utpal Biswas, “Smart Task Assignment Model for Cloud Service Provider”, 2^nd International Conference on Advanced Computing and Communication Technologies for HPC Applications – ACCTHPCA, Published in IJCA Journal, pp. 43 – 46, June

1. Mainak Adhikari, “Biometrics in Cloud Computing”, Chapter-13, IGI Global Publication, ISSN: 1948-9730; eISSN: 1948-9749,
2. Mainak Adhikari, and Sukhendu Kar, “No SQL Databases”, Chapter-6, IGI Global Publication, ISSN: 1948-9730; eISSN: 1948-9749,
3. Mainak Adhikari, and Sukhendu Kar, “GPU and Heterogeneous Scheduling”, Chapter-8, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461,
4. Mainak Adhikari, and Debaproya Roy, “Green Computing and Its Impact”, Chapter-5, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461,
5. Mainak Adhikari, Akash Mukherjee, Aditi Das, “Utility Computing and Its Impact”, Chapter-1, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461,
6. Mainak Adhikari, Sukhendu Kar, Sourav Banerjee, and Utpal Biswas, “Bigdata analysis for Cyber-Physical System”, ISBN- 9781482263329, CRC Press, T & F Group,

1. Title of Project: Synthesis of Big Data using Federated Learning for analyzing Climate and Pollution Parameters in Edge Networks for Sustainable Urban Areas

         Organisation: Indian Institute of Information Technology Lucknow

         Lead Project Investigator: Mainak Adhikari

         Status: Submitted on 14.09.2021

         Sponsored Organization: BRICS 2021 (Project Submission id: BRICS2021: 048)

2. Title of Project: A Sustainable Edge Federation Framework for Water Irrigation Control in Cotton Farming using Advanced Federated Learning Technique

         Organisation: Indian Institute of Information Technology Lucknow

        Project Investigator: Mainak Adhikari

        Status: Submitted on 25.10.2021

        Sponsored Organization: Ministry of Electronics and Information Technology (MeitY)

3. Title of Project: Develop an Autonomous Smart Jacket and Application Programming Interface for Remote Health Monitoring and Analysis of Patients in Rural Areas

         Organisation: Indian Institute of Information Technology Lucknow

         Project Investigator: Mainak Adhikari

         Status: Submitted on 05.11.2021

        Sponsored Organization: Council of Science & Technology Uttar Pradesh (CST)

1. Hazra, M. Adhikari, T. Amgoth, and S. N. Srirama, “EaCO: Energy-aware Computational Offloading for Industrial IoT Applications in Fog Networks”, IEEE Transaction on Industrial Informatics, Revised Version Under Review.
2. Hazra, M. Adhikari, T. Amgoth, and S. N. Srirama, “Stackelberg Game for Service Deployment and Resource Provisioning in 6G-aware Fog Networks”, IEEE Internet of Things Journal, Revised Version Under Review.
3. Adhikari, S. N. Srirama, and T. Amgoth, “A Survey on Nature Inspired Meta-Heuristic Algorithms for Edge Computing”, IEEE Transaction on Network Science and Management, Revised Version Under Review.
4. N. Srirama, F. M. S. Dick, and M. Adhikari, “Actor Programming Model with Akka Framework for Executing Distributed Fog Computing Applications”, Future Generation Computer Systems, Revised Version Under Review.

5. Adhikari, Ambigavathi M, and S. N. Srirama, “iCovidCare: Intelligent Healthcare Monitoring System for COVID-19 Patients using Feature Selection and Ensemble Random Forest Model in Edge Networks”, Information Fusion Journal, Under Review.

Future Research Plans:

• Efficient service deployment and resource provisioning of edge/fog computing
• Container-aware data processing in edge/fog and cloud computing
• Age-of-information in edge computing
• Edge/Fog-centric Federated Learning services for IoT applications
• Extending TOSCA to support fog-based applications
• Data aggregation and data fusion policies with machine learning techniques in healthcare and agriculture domain for data prediction and analysis

Future Project Plans:

• Efficient IoT applications orchestration and resource management in Fog Federation framework

• COVID-19 Disease Prediction in Edge Networks
• An Energy-efficient Fog Federation Framework for Real-time Monitoring and Decision Making of Soil Health and Moisture-level in Cotton Farming Environment

1. Afsana Khan: Edge-centric Federated Learning: Towards a Learning-based Service Provisioning Model, Ongoing, Date of Defence: April 2021.

2. Souvik Paul: Prediction-based Data Aggregation and Fusion in Cloud-centric IoT Networks for Soil Health Prediction, Ongoing, Date of Defence: April 2021.

• Participated in TEQIP Sponsored “Pedagogy and Teaching Methodology Training Programme”, on 18^th February 2014, organized by the Department of Computer Science and Engineering, JIS College of Engineering and Technology, Kalyani, West Bengal.
• Attended TEQIP Sponsored workshop on “Cloud Computing”, organized by the Department of Computer Science and Engineering, NERIST, Nerjuli, Arunachal Pradesh, during 14^th – 20^th March 2014.
• Co-coordinator of a two days workshop on “Cloud Computing”, organized by the Department of Computer Science and Engineering, IMPS College of Engineering and Technology, Malda, West Bengal, from 14^th – 15^th March

• A full-Time member of the Association of Computing Machinery (ACM).
• Awarded as Outstanding Reviewer of Journal of Network and Computer Applications (SCI Index-Journal; Impact Factor- 570).
• Lifetime Membership of International Society for Research and Development.
• Associate Editor of Cluster Computing Journal (Springer)
• Associate Editor of IEEE Internet of Things Magazine (IEEE)
• Technical Committee member of Computer Communication Journal (Elsevier)
• Reviewer: Journal of Network and Computer Application, Future Generation Computer Systems, Applied Soft Computing, IEEE Access, Journal of Central South University, IEEE Transaction on Industrial Informatics, IEEE Internet of Things Journal, Software: Practice and Experience, and various

• Google Scholar Account Link: https://scholar.google.com/citations?view_op=list_works&hl=en&user=- OhGCOoAAAAJ

• ORCID ID: https://orcid.org/0000-0003-0647-4656

• Web of Science ResearchID: S-8723-2019

• Scopus ID: 56340886300
• h-index: 12

• i10-index: 15

Department of Information Technology,
Indian Institute of Information Technology,
Lucknow, India.
[email protected]