Dr Mainak Adhikari
Assistant Professor Grade I (Data Science)
  +91 (0)471 - 2778363
  bWFpbmFrQGlpc2VydHZtLmFjLmlu

International Journals/Magazines (SCI/SCIE):

  1. Ambigavathi M, and Mainak Adhikari, “Zippy Random Access Protocol for Critical Data Transmission in Consumer Healthcare Applications”, IEEE Transactions on Consumer Electronics, pp. 1-8, Accepted, In Press, 2024. Impact Factor: 4.3.

  2. Neha Singh, and Mainak Adhikari, “Real-Time Paddy Field Irrigation using Feature Extraction and Federated Learning Strategy”, IEEE Sensors Journals, pp. 1-8, Accepted, In Press, 2024. Impact Factor: 4.33.

  3. Neha Singh, and Mainak Adhikari, “Edge-centric Collaborative Federated Learning for Irrigation Management of Paddy Fields using Agriculture Sensor Data Processing”, IEEE Sensors Letters, pp. 1-4, Accepted, In Press, 2024.

  4. Saswat Behera, Mainak Adhikari, Varun G Menon, and Mohammad Ayoub Khan, “Large Model-assisted Federated Learning for Object Detection of Autonomous Vehicles in Edge”, IEEE Transactions on Vehicular Technology, pp. 1-10, Accepted, In Press, 2024.

  5. Jatin Deep Singh, Neha Singh, Mainak Adhikari, and Amit Kumar Singh, “Decentralized Gossip-assisted Deep Learning Model Training for Resource-Constraint Edge Devices”, IEEE Transactions on Computational Social Systems, pp. 1-10, Accepted, In Press, 2024.

  6. Rupali Patole, and Mainak Adhikari, “Real-Time Prediction using Fog-Based Federated Learning and Genetic Hyperparameter Optimisation”, IEEE Transactions on Network Science and Engineering, pp. 1-10, Accepted, In Press, 2024.

  7. Rupali Patole, Neha Singh, Mainak Adhikari, and Amit Kumar Singh, “Multi-view Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks”, IEEE Transactions on Consumer Electronics, pp. 1-8, Accepted, In Press, 2023.

  8. Neha Singh, Jatin Rupchandani, and Mainak Adhikari, “Personalized Federated Learning for Heterogeneous Edge Device: Self-Knowledge Distillation Approach”, IEEE Transactions on Consumer Electronics, pp. 1-8, Accepted, In Press, 2023.

  9. Khushbu Doulani, Amrita Rajput, Abhishek Hazra, Mainak Adhikari, and Amit Kumar Singh, “Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics”, IEEE Transactions on Consumer Electronics, pp. 1-8, Accepted, In Press, 2023.

  10. 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.

  11. Sudarshan Nandy, Mainak Adhikari, Arunava Ray, Rajesh Rai, T N Singh, “Edge-centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope”, IEEE Internet of Things, pp. 1-8, Accepted, In Press, 2023. Impact Factor: 9.936.

  12. 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.

  13. 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.

  14. Sudarshan Nandy, Mainak Adhikari, Arunava Ray, Rajesh Rai, T N Singh, “Edge-centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope”, IEEE Internet of Things, pp. 1-8, Accepted, In Press, 2023. Impact Factor: 9.936.

  15. 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.

  16. 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.

  17. 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.

  18. Mainak Adhikari, Abhishek Hazra, and Sudarshan Nandy, “Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1-12, In Press, 2022, DOI: 10.1109/TCBB.2022.3180393. Impact Factor: 3.71.

  19. Mainak Adhikari, and Abhishek Hazra, “6G-Enabled Ultra-Reliable Low-Latency Communication in Edge Networks”, IEEE Communications Standards Magazine, vol. 6(1), pp. 67-74, 2022, DOI: 10.1109/MCOMSTD.0001.2100098.

  20. Sudarshan Nandy, Mainak Adhikari, Abhishek Hazra, Tamoghna Mukherjee, and Varun G Menon, “Analysis of Communicable Disease Symptoms using Bag-of-Neural Network at Edge Networks”, IEEE Sensors Journal, pp.914- 921, 2022, DOI: 10.1109/JSEN.2022.3167416. Impact Factor: 4.325.

  21. A Hazra, M Adhikari, T Amgoth, and SN Srirama, “Fog Computing for Energy-Efficient Data Offloading of IoT Applications in Industrial Sensor Networks”, IEEE Sensors Journal, vol. 22(9), pp. 8663-8671, 2022. Impact Factor: 4.325.

  22. Monagi H. Alkinani, Abdulwahab Ali Almazroi, Mainak Adhikari, and Varun G Menon, “Design and Analysis of Logistic Agent-based Swarm-Neural Network for Intelligent Transportation System”, Alexandria Engineering Journal, vol. 61(10), pp. 8235-8334, 2022. Impact Factor: 6.626.

  23. Abhisekh Hazra, Ahmed Alkhayyatd, and Mainak Adhikari, “Blockchain for Cybersecurity in Edge Networks”,IEEE Consumer Electronics Magazine, pp. 1-6, 2022, DOI: 10.1109/MCE.2022.3141068. Impact Factor: 4.135.

  24. Monagi H. Alkinani, Abdulwahab Ali Almazroi, Mainak Adhikari, and Varun G Menon, “Artificial Intelligence Empowered Logistic Traffic Management System using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks”, IEEE Transactions on Intelligent Transportation Systems, pp.4499 - 4508, 2022, DOI: 10.1109/TITS.2022.3145403. Impact Factor: 9.551.

  25. Sudarshan Nandy, Mainak Adhikari, Supriya Chakraborty, Ahmed Alkhayyatd, Neeraj Kumar, “IBoNN: Intelligent Agent-based Internet of Medical Things Framework for detecting Brain Response from Electroencephalography Signal using Bag-of-Neural Network”, Future Generation Computer Systems, pp. 241- 252, 2022, DOI: 10.1016/j.future.2021.12.019. Impact Factor: 7.187.

  26. 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.79 - 85, 2021, DOI: 10.1109/IOTM.001.2100075. Impact Factor: 9.936.

  27. 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.3057 - 3066, 2021, DOI: 10.1109/TNSE.2021.3122178. Impact Factor: 3.984.

  28. 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, DOI: 10.1145/3485130. Impact Factor: 14.32.

  29. 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, vol. 52(4), pp. 1004-1034, 2021, DOI: 10.1002/spe.3025. Impact Factor: 3.2.

  30. 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.4565 - 4572, 2021, DOI: 10.1109/JIOT.2021.3104324. Impact Factor: 9.936.

  31. 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. 2568 - 2577, 2021, DOI: 10.1109/TITS.2021.3102957. Impact Factor: 9.551.

  32. 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. 1969 - 1976, 2021, DOI: 10.1109/JBHI.2021.3101686. Impact Factor: 7.021.

  33. 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, DOI: 10.1109/IOTM.0001.2100052. Impact Factor: 9.936.

  34. 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. 4850 - 4858, 2021, DOI: 10.1109/TII.2021.3096672. Impact Factor: 11.468.

  35. S. Nandy, and M. Adhikari, “Intelligent Health Monitoring System for Detection of Symptomatic/Asymptomatic COVID-19 Patient”, IEEE Sensors Journal, pp. 20504 - 20511, 2021, DOI: 10.1109/JSEN.2021.3096425. Impact Factor: 4.325.

  36. 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. 1469 - 1478, 2021, DOI: 10.1109/JIOT.2021.3088227. Impact Factor: 9.936.

  37. 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, DOI: 10.1007/s00521-021-06124-1. Impact Factor: 3.278.

  38. 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, PP.2131 - 2140, 2021, DOI: 10.1109/JIOT.2021.3078148. Impact Factor: 9.936.

  39. 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, 2021, DOI: 10.1016/j.iot.2021.100385. Impact Factor: 5.771.

  40. S. N. Srirama, Freddy Marcelo Surriabre Dick, and 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, DOI: 10.1016/j.future.2020.12.011. Impact Factor: 7.187.

  41. A. Hazra, M. Adhikari, T. Amgoth, and 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, DOI: 10.1109/JIOT.2020.3041102. Impact Factor: 9.936.

  42. 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, DOI: 10.1109/TNSE.2020.3021792. Impact Factor: 3.894.

  43. 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, DOI: 10.1016/j.jnca.2020.102629. Impact Factor: 7.574.

  44. 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, DOI: 10.1109/JIOT.2019.2958400. Impact Factor: 9.936.

  45. 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, DOI: 10.1109/JIOT.2019.2946426. Impact Factor: 9.936.

  46. 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, DOI: 10.1016/j.jnca.2019.04.003. Impact Factor: 7.574.

  47. Mainak Adhikari, and Hemant Gianey, “Energy Efficient Offloading Strategy in Fog-Cloud Environment for IoT Applications”, Internet of Things, vol. 6, pp. 1-16, 2019. Elsevier. DOI: 10.1016/j.iot.2019.100053. Impact Factor: 5.771.

  48. 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. 1-36, ACM Press, New York, USA (2019), DOI: 10.1145/3325097. Impact Factor: 14.32.

  49. 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, DOI: 10.1016/j.asoc.2020.106411. Impact Factor: 8.263.

  50. 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, DOI: 10.1016/j.asoc.2019.02.004. Impact Factor: 8.263.

  51. 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, DOI: 10.1016/j.jnca.2018.12.010. Impact Factor: 7.574.

  52. Mainak Adhikari, and Tarachand Amgoth, “Heuristic-based load-balancing algorithm for IaaS cloud,”, Future Generation Computer Systems, vol. 81, pp. 156-165, 2018. Elsevier, DOI: 10.1016/j.future.2017.10.035. Impact Factor: 7.187.

  53. 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, DOI: 10.1007/s13369-017-2739-0. Impact Factor: 2.807.

  54. 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, DOI: 10.1007/s13369-015-1626-9. Impact Factor: 2.807.


Conference Papers:

  1. Neha Singh, Tanmay Tripathi, and Mainak Adhikari, “Communication-Efficient Federated Learning for Real-time Applications in Edge Networks”, 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6, Accepted, In Press.
  2. Amrita Rajput, Shikhar Saxena, and Mainak Adhikari, “Edge-Assisted Framework for Malaria Parasite Detection on Cell Images using Federated Learning”, 2023 IEEE Global Communications Conference, pp. 1-8, Accepted, In Press.
  3. Vikas Singh, Neha Singh, Mainak Adhikari, “Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework”, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID-2023), pp. 1-8, Accepted, 2023.
  4. TF Düllmann, A van Hoorn, V Yussupov, P Jakovits, and M Adhikari, “CTT: Load Test Automation for TOSCAbased Cloud Applications”, Companion of the 2022 ACM/SPEC International Conference on Performance Engineering, pp. 89-96, 2022, DOI: 10.1145/3491204.3527484.
  5. A. Hazra, M. Adhikari, and T. Amgoth, “Dynamic Service Deployment Strategy using Reinforcement Learning in Edge Networks”, 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), pp. 1-6, 2022, DOI: 10.1109/IC3SIS54991.2022.9885498.
  6. 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, DOI: 10.1109/ICCCN49398.2020.9209669.
  7. 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, 2018, DOI: 10.1109/GUCON.2018.8674932.
  8. 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 (ICSICCS2018), Springer, pp. 347-360, 2018, DOI: 10.1007/978-981-13-2414-7_32
  9. 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, 2018, DOI: 10.1109/ICACCI.2018.8554584
  10. 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, 2016, DOI: 10.1109/IC3.2016.7880222.
  11. 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, 2014. DOI: 10.1109/ICBIM.2014.6970946.
  12. 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, 2014, DOI: 10.1007/978-3-319-08156-4.
  13. Sourav Banerjee, Mainak Adhikari, Dipansu Mondal, and Utpal Biswas, “Smart Task Assignment Model for Cloud Service Provider”, 2nd International Conference on Advanced Computing and Communication Technologies for HPC Applications - ACCTHPCA, Published in IJCA Journal, pp. 43 – 46, June 2012.

Book Chapters:

  1. Mainak Adhikari, “Biometrics in Cloud Computing”, Chapter-13, IGI Global Publication, ISSN:1948-9730; eISSN: 1948-9749, 2014.
  2. Mainak Adhikari, and Sukhendu Kar, “No SQL Databases”, Chapter-6, IGI Global Publication, ISSN:1948- 9730; eISSN: 1948-9749, 2014.
  3. Mainak Adhikari, and Sukhendu Kar, “GPU and Heterogeneous Scheduling”, Chapter-8, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461, 2015.
  4. Mainak Adhikari, and Debaproya Roy, “Green Computing and Its Impact”, Chapter-5, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461, 2015.
  5. Mainak Adhikari, Akash Mukherjee, Aditi Das, “Utility Computing and Its Impact”, Chapter-1, IGI Global Publication, ISSN: 2327-3453, eISSN: 2327-3461, 2015.
  6. Mainak Adhikari, Sukhendu Kar, Sourav Banerjee, and Utpal Biswas, “Bigdata analysis for Cyber-Physical System”, ISBN- 9781482263329, CRC Press, T & F Group, 2015.

Patent:

        1. “Health Monitoring Device”, Design Patent, Indian Patent, Design No.: 402291-001, Date: 16.12.2023.