Chinmaya Kumar Swain

Qualification
Assistant Professor, IT Systems & Analytics
E-mail: chinmaya[at]iimj[dot]ac[dot]in

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Dr. Chinmaya Kumar Swain is an Assistant Professor in the area of IT Systems and Analytics at the Indian Institute of Management Jammu. He also holds administrative responsibilities as Chairperson–IT, Chairperson–MBA (Artificial Intelligence and Business Analytics), and Area Coordinator–IT Systems and Analytics at IIM Jammu. Before joining IIM Jammu, he served as an Associate Professor at IMIT, Cuttack, Government of Odisha, and as an Assistant Professor at SRM University Andhra Pradesh and Siksha ‘O’ Anusandhan University.

He holds a doctoral degree in Cloud Computing from IIT Guwahati and an M.Tech in Computer Science and Engineering from IIT Bombay. His research interests encompass scheduling and resource allocation in cloud, fog, and edge computing; natural language processing; large language models (LLMs); generative artificial intelligence (GenAI); and machine learning applications for real-world problems. His interests also include the application of GenAI tools, such as ChatGPT, Claude, Gemini, and Copilot, in teaching, research, business analytics, and managerial decision-making.

He has authored or co-authored more than 35 research publications, including 14 journal articles and more than 21 conference papers. His work has appeared in journals such as IEEE Systems Journal, IEEE Access, Computing, Computers, Materials & Continua, and Archives of Control Sciences, as well as international conferences including HPCC.

Over 15 years of academic experience, Dr. Swain has mentored more than 30 undergraduate and 12 postgraduate students across IMIT, SRM University, Siksha ‘O’ Anusandhan University, and IIT Guwahati.

  • Ph.D. (CSE) - Indian Institute of Technology, Guwahati.
  • M. Tech. (CSE) - Indian Institute of Technology, Bombay
  • MCA – Utkal University, Odisha
  • IIM Jammu – August 2024 and Continuing
  • IMIT, Cuttack – March 2024 – August 2024
  • SRM University, Andhra Pradesh – June 2021 – March 2024
  • SOA University, Odisha – March 2005 – June 2016
  • Utkal University, Odisha – February 2002 – March 2005
  • Mahesh Kumar Morampudi, Bhagya Lakshmi Polavarapu, Nagamani Gonthina, V. Dinesh Reddy, Sriramulu Bojjagani & Chinmaya Kumar Swain. (2026). Prediction of Retinal Vascular Occlusion: An Ensemble Approach Using Weighted Average. IETE Technical Review, 43:5, 598-617, DOI: 10.1080/02564602.2026.2688071.
  • Shubham Kumar Verma, Sanjeev Anand, Nitish Sharma, Rudraksh S. Gupta, Chinmaya Swain, Ravij Seth & Yatheshth Anand. (2026). Sustainability and Circular Economy Implications of Electric Mobility in Ecologically Sensitive Mountain Terrains of India: Evidence from Jammu & Kashmir and Ladakh. Circ.Econ.Sust. 6, 262. https://doi.org/10.1007/s43615-026-00990-4.
  • Morampudi, M.K., Swain, C.K., Prabhagar, M.V. et al. (2026). Analyzing the impact of the sentiment of Covid-19 news on bitcoin through transformer-based models. Qual Quant 60, 6429–6447. https://doi.org/10.1007/s11135-025-02547-3.
  • Mishra, S.K., Sahoo, S.K. & Swain, C.K. (2024). A Systematic Review on Federated Learning in Edge-Cloud Continuum. SN COMPUT. SCI. 5, 887. https://doi.org/10.1007/s42979-024-03235-z.
  • Alwabel A, Swain C. K. (2024). Hybrid Approach for Cost Efficient Application Placement in Fog-Cloud Computing Environments. Computers, Materials & Continua, 79(3): 4127-4148. https://doi.org/10.32604/cmc.2024.048833.
  • Swain, C.K., Shankar, R. & Sahu, A. (2024). Edge data distribution as a network Steiner tree estimation in edge computing. Computing 106, 1585–1609. https://doi.org/10.1007/s00607-024-01259-0.
  • A. Alwabel and C. K. Swain. (2024). Deadline and Energy-Aware Application Module Placement in Fog-Cloud Systems. IEEE Access, vol. 12, pp. 5284-5294, doi: 10.1109/ACCESS.2024.3350171.
  • Swain, C.K., Sahu, A. (2022). Interference Aware Workload Scheduling for Latency Sensitive Tasks in Cloud Environment. Computing 104, 925–950. https://doi.org/10.1007/s00607-021-01014-9.
  • C. K. Swain and A. Sahu. (2022). Reliability-Ensured Efficient Scheduling With Replication in Cloud Environment. IEEE Systems Journal, vol. 16, no. 2, pp. 2729-2740, June 2022, doi: 10.1109/JSYST.2021.3112098.
  • Swain, C.K., Gupta, B. & Sahu, A. (2020). Constraint aware profit maximization scheduling of tasks in heterogeneous datacenters. Computing 102, 2229–2255. https://doi.org/10.1007/s00607-020-00838-1.
  • Swain, C.K., Saini, N. & Sahu, A. (2020). Reliability aware scheduling of bag of real time tasks in cloud environment. Computing 102, 451–475. https://doi.org/10.1007/s00607-019-00749-w.
  • Preeti Routray, Chinmaya Kumar Swain and Smita Prava Mishra. (2013). A Survey on Sentiment Analysis. International Journal of Computer Applications 76(10):1-8, August 2013.
  • Chinmaya Kumar Swain, P. K. Santi, S. Mohanty. (2005). Morphological analyzer based on finite state transducer : a case study for Oriya language. Archives of Control Sciences, Vol 15(LI), pp. 441- 451.
  • P. K. Santi, S. Mohanty, Chinmaya Kumar Swain and K. P. Das Adhikary. (2005). Design and implementation of nouns in OriNet : based on the semantic word concept. Archives of Control Sciences, Vol-15(LI), pp.433-441.
  • K. S. Sandeep, M. R. Ahamed, A. V. Prabhas and C. K. Swain. (2024). Performance Analysis of Non-Polynomial Scheduling Algorithms in Cloud and Fog Environments. 2024 OITS International Conference on Information Technology (OCIT), Vijayawada, India, pp. 253-260, doi: 10.1109/OCIT65031.2024.00052.
  • Y. C. Thotakura, G. S. S. Gollapalli, D. M. Yarramsetty, S. R. Kasim, K. K. Doppalapudi and C. K. Swain. (2024). An Efficient Task Scheduling for Latency Sensitive Tasks in Edge - Cloud Computing Environment. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, pp. 1-9, doi: 10.1106/ICCCNT61001.2024.10724467.
  • Kone Sai Sandeep, Challa Aditya Koundinya, Adapa Venkata Prabhas, Chinmaya Kumar Swain, Sambit Kumar Mishra. (2023). A comparative study of different scheduling approaches for splittable latency sensitive tasks in Fog-Cloud environment. 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), IEEE.
  • Subham Kumar Sahoo, Abdhisuta Dash, Dinesh Reddy Vemula, Chinmaya Kumar Swain, Sambit Kumar Mishra. (2023). Latency Aware-Resource Planning in Edge Using Fuzzy Logic. 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), IEEE.
  • Chauhan, S., Swain, C.K., Behera, L. (2024). An Efficient Fog Computing Platform Through Genetic Algorithm-Based Scheduling. In Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 832. Springer. [Available at https://link.springer.com/chapter/10.1007/978-981-99-8129-8_25]
  • Chinmaya Kumar Swain, Preeti Routray, Sambit Kumar Mishra, and Abdulelah Alwabel. (2023). Predictive VM Consolidation for Latency Sensitive Tasks in Heterogeneous Cloud. 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML), 15th and 16th January 2023. [Available at https://link.springer.com/chapter/10.1007/978-981-99-1203-2_12]
  • Sambit Kumar Mishra, Subham Kumar Sahoo, Chinmaya Kumar Swain, Abhishek Guru, Pramod Kumar Sethy, and Bibhudatta Sahoo. (2023). CS-based Energy-Efficient Service Allocation in Cloud. 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML), 15th and 16th January 2023. [Available at https://link.springer.com/chapter/10.1007/978-981-99-1203-2_5]
  • Preeti Routray, Chinmaya Kumar Swain, Rakesh Chandra Balabantaray. (2022). Sentiment Analysis from Student Feedbacks using Supervised Machine Learning Approaches. International Conference On Innovations in Intelligent Computing and Communications, DEC 16-17. [Available at https://link.springer.com/chapter/10.1007/978-3-031-23233-6_21]
  • Vivek Kumar, Chinmaya Kumar Swain, and Aryabartta Sahu. (2022). Energy Efficient Dynamic Load Balancing Using Self-Organized Criticality in Grid Computing. IEEE HPCC, 18-21 December.
  • Avadhesh Sharma, Chinmaya Kumar Swain, Aryabartta Sahu. (2021). Efficient Welfare Maximization in Fog-Edge Computing Environment. IEEE 23rd International Conference on High Performance Computing and Communications.
  • Vaibhav Gupta, Chinmaya Kumar Swain, Aryabartta Sahu. (2021). Energy Efficient and QoS Aware Multi-Level Mobile Cloud Offloading. IEEE 23rd International Conference on High Performance Computing and Communications.
  • Chinmaya Kumar Swain, Aryabartta Sahu. (2018). Interference Aware Scheduling of Real Time Tasks in Cloud Environment. IEEE 20th International Conference on High Performance Computing and Communications.
  • Chinmaya Kumar Swain, Analysis & Design of Algorithms, Alok Publications, 2006.
  • Dr. P. Renukadevi, Dr. Chinmaya Kumar Swain, Dr. Archana Sasi, Mr. Shahad P, DATA STREAMING AND ANALYSIS, Lurnexa Publication, ISBN: 978-81-685077-8-4, 2026.
  • Sai Sandeep Kone, Riyaz Ahamed Mulla, Chinmaya Kumar Swain. (2026). Federated learning based approaches for edge-enabled networking in healthcare. In Joseph Bamidele Awotunde, Akash Kumar Bhoi, Paolo Barsocchi, Victor Hugo Costa de Albuquerque (Eds.), Advances in Fog Computing and the Internet of Things for Smart Healthcare, Elsevier, Pages 281-294, ISBN 9780443334412. [DOI Link]

    Google Scholar Link :| [Google Scholar]
  • Introduction to Data Analytics
  • Spreadsheet Modelling
  • Business Analytics
  • IT Agile Project Management
  • AI/ML for Healthcare
  • Introduction to Data Structures
  • Algorithm & Computation
  • Business Intelligence & Visualization
  • Introduction to Computer Programming (C/C++/Python)
  • Algorithm Design and Analysis
  • Artificial Intelligence
  • Machine Learning
  • Operating System
  • Cloud Computing
  • Database Management System
  • Computer Organization and Architecture
  • Object-Oriented Programming

  • Data Driven Decision Making (General Management Programme for Middle Management – NHPC Limited)
  • AI for Decision Making (Leadership Development Program for Middle Managers – Steel Authority of India Limited)
  • AI in Pharma Product Management (MDP at INTAS Pharmaceuticals)
  • Data Visualization Using Power BI/Tableau (Business Communication & Presentation Skills Program for Hindustan Aeronautics Limited)
  • Impact of Digital Transformation in Business (Immersion Program for ITS Students)
  • Artificial Intelligence for Supervisors (Supervisory Development Programme – NHPC Limited)
  • Digital, Automation & Analytics – Manager’s Lens (Leadership Development Program For Young Managers – Steel Authority of India Limited)
  • AI for Decision Making for the MDP “Managerial Mindset: Strategies for Effective Leading and Decision Making” for the Executives of Indian Metro Rail Organizations’ Society (I-METRO)
  • Digital Transformation in Business (Management Immersion Program for IILM)
  • Internet of Things & Automation (DGR Operations Management)
  • Demystifying Generative AI (DGR Operations Management)
  • Digital Leadership (Leadership Development Program for Middle Managers – Steel Authority of India Limited)
  • Demystifying GenAI (Generative AI (GenAI) Fundamentals for Leaders)
  • Cyber Security in Digital Banking (Executive Development Program for Scale IV Executives of Canara Bank)
  • Data Driven Decision Making Through Power BI (Administrative Excellence in Practice: A Hands-on Program for Modern Higher Educational Institutions (HEIs))

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