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Indian Institute of Science Education and Research
Thiruvananthapuram

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

International Journals/Magazines (SCI/SCIE):

  1. Neha Singh and Mainak Adhikari, “Integrated Probabilistic Clustering and Deep Reinforcement Learning for Bias Mitigation and Device Heterogeneity of Federated Learning in Edge Networks ", Journal of Network and Computer Applications, pp. 1-14, June. 14, 2025, Accepted, In Press, 2025.

  2. Khushbu Doulani and Mainak Adhikari, "Real-time Detection and Monitoring of Contagious Diseases using Wearable Sensors and Lightweight Model in Edge Networks", IEEE Sensors Journal, pp. 1-8, Apr. 7, 2025, Accepted, In Press, 2025.

  3. Neha Singh, and Mainak Adhikari, “FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks",  IEEE Transactions on Parallel and Distributed Systems, pp. 1-12, Feb. 16, 2025, Accepted, In Press, 2025.

  4. Neha Singh, and Mainak Adhikari, “A Hybrid Semi-Asynchronous Federated Learning and Split Learning Strategy in Edge Networks",  IEEE Transactions on Network Science and Engineering, pp. 1-11, Jan. 15, 2025, Accepted, In Press, 2025.

  5. Neha Singh, and Mainak Adhikari, “SelfFed: Self-adaptive Federated Learning with Non-IID Data on Heterogeneous Edge Devices for Bias Mitigation and Enhance Training Efficiency",  Information Fusion, 1-16, Dec. 2, 2024, Accepted, In Press, 2025.  Impact Factor: 14.8.

  6. Neha Singh, and Mainak Adhikari, “PopFL: A Scalable Federated Learning Model in Serverless Edge Computing Integrating with Dynamic Pop-up Network",  Ad Hoc Networks, 1-8, Accepted, In Press, 2024. Impact Factor: 4.4.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. 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.

  49. 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.

  50. 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.

  51. 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.

  52. 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.

  53. 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.

  54. 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.

  55. 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.

  56. 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.

  57. 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.

  58. 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.

  59. 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.

  60. 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. Suja A. Alex, Neha Singh, and Mainak Adhikari, "Digital Twin-based Dynamic Resource Provisioning Using Deep Q-Network on 6G-enabled Mobile Edge Networks", 17th International Conference on COMmunication Systems & NETworkS (IEEE COMSNET 2025), pp. 1-8, 2025, In Press.
  2. Parvati Viswanathan, Neha Singh, and Mainak Adhikari, "An Adaptive Federated Deep Reinforcement Learning with Bayesian Optimization for Data Analysis in Edge Networks", 7th International Conference on Data Analytics and Cyber Security (Springer DACS 2024), pp. 1-12, 2024, In Press.
  3. Binu John, Varun G Menon, and Mainak Adhikari, "FedNorm: Optimised Federated Learning Strategy using Hybrid Regularisation Norm", 12th International Conference on Big Data and Artificial Intelligence (Springer BDA 2024),  pp. 1-10, 2024, In Press.
  4. Akansha Singh, Soumendu Chakraborty, and Mainak Adhikari, "Data Analysis with Model Explainability for Air Quality and Pollution Prediction of Urban Areas in Edge Networks", 12th International Conference on Big Data and Artificial Intelligence (Springer BDA 2024),  pp. 1-10, 2024, In Press.
  5. 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, 2023.
  6. 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, 2023.
  7. 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, 2023.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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
  13. 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
  14. 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.
  15. 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.
  16. 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.
  17. 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.