Dr. Chandrashekar  Jatoth

Department Information Technology
Designation Associate Professor
Educational Qualification B.E, M.Tech (AI, University of Hyderabad), Ph.D. (University of Hyderabad)
E-Mail jchandrashekar.it@nitrr.ac.in
Contact Number 8897741409
Areas of Interest

Cloud/Fog Computing, Energy Informatics, Artificial Intelligence, Quantum Computing, and Quantum Netwroks.

Publications

International Journals Published:

  1. K. Majid, L. Valcarenghi, R. Bassoli, F. H. P. Fitzek, Chandrashekar Jatoth, K. Kondepu,“Securing Open Radio Access Network Midhaul Interface With Post-Quantum Cryptography,” IEEE Communications Standards Magazine, 2026 (IF: 5.1).
  2. M. Sreenu, N. Gupta, Chandrashekar Jatoth,“Fuzzy Logic and Petri Net-Based Modeling for Analyzing Vulnerabilities in Smart Contract Compositions for Vaccine Supply Chain Management in Global Healthcare,” Computational Intelligence, vol. 42, no. 2, e70203, 2026 (IF: 1.9).
  3. B. Swaroopa Rani, Chandrashekar Jatoth, S. Venu,“Explainable AI-driven energy forecasting: A DGMR-based feature extraction and EGST-Net prediction framework for transparent decision-making,” Energy Informatics, vol. 9, no. 1, 49, 2026 (IF: 5.5).
  4. J. Lachure, Chandrashekar Jatoth, K. S. Rao,“FedMMIoT: A Federated Learning Framework for Detecting Autism Spectrum Disorders Using Multimodal Internet of Things,”IEEE Transactions on Consumer Electronics, 2026 (IF: 9.9).
  5. S. Priyadarshini, Chandrashekar Jatoth, R. Doriya, R. Buyya,“A Topology-aware Quantum Inspired Genetic Algorithm for Secure Quantum Communication,”IEEE Transactions on Green Communications and Networking, 2026 (IF: 6.9).
  6. G. Madhukar, Chandrashekar Jatoth, R. Doriya,“Blockchain and AI for improved data management and traffic safety in the internet of vehicles: A systematic review,” Journal of Automobile Engineering, vol. 240, no. 5, pp. 2805–2833, 2026 (IF: 1.7).
  7. S. Priyadarshini, Chandrashekar Jatoth, R. Doriya, R. Buyya,“Optimizing qubit transfer in multi-host quantum network using security-oriented entanglement routing algorithm,” Optics Communications, 132549, 2025 (IF: 2.7).
  8. B. Swaroopa Rani, Chandrashekar Jatoth,“Deep Learning and Blockchain-Enabled Predictive Maintenance in Electric Vehicles: A Comprehensive Review,” Concurrency and Computation: Practice and Experience, vol. 37, nos. 25–26, e70298, 2025 (IF: 2.2).
  9. S. Maloth, N. S. Hada, Chandrashekar Jatoth, N. Gupta, U. Fiore, P. K. Sharma,“Minecrafter: A secure and decentralized consensus protocol for blockchain-enabled vaccine supply chain,” Peer-to-Peer Networking and Applications, vol. 18, no. 4, 168, 2025 (IF: 4.2).
  10. N. Potu, Chandrashekar Jatoth, P. Parvataneni,“Optimum Batch Scheduling Model for Quality Aware Delay Sensitive Data Transmission over Fog Enabled IOT Network,” Scalable Computing: Practice and Experience, vol. 25, no. 2, pp. 1152–1166, 2024 (IF: 1.1).
  11. Jain, Chandrashekar Jatoth, G. R. Gangadharan,“Bi-level optimization of resource allocation and appliance scheduling in residential areas using a Fog of Things (FOT) framework,” Cluster Computing, vol. 27, no. 1, pp. 219–229, 2024 (IF: 5.5).
  12. M. Sreenu, N. Gupta, Chandrashekar Jatoth, D. Gupta,“Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system,” Expert Systems, vol. 41, no. 1, e13478, 2024 (IF: 3.4).
  13. G. Madhukar, Chandrashekar Jatoth, R. Doriya,“IoV block secure: Blockchain based secure data collection and validation framework for internet of vehicles network,” Peer-to-Peer Networking and Applications, vol. 17, no. 6, pp. 3964–3990, 2024 (IF: 4.2).
  14. N. K. Parida, Chandrashekar Jatoth, V. D. Reddy, M. M. Hussain, J. Faizi,“Post-quantum distributed ledger technology: A systematic survey,”Scientific Reports, vol. 13, no. 1, 20729, 2023 (IF: 5.1).
  15. Chandrashekar Jatoth, E. Neelima, A. V. R. Mayuri, S. R. Annaluri,“Effective monitoring and prediction of Parkinson disease in Smart Cities using intelligent health care system,” Microprocessors and Microsystems ,vol. 92, 104547, 2022 (IF: 2.5).
  16. M. Sreenu, N. Gupta, Chandrashekar Jatoth, A. Saad, A. Alharbi, L. kenyereye,“ Blockchain based secure and reliable Cyber Physical ecosystem for vaccine supply chain,”Computer Communications, vol. 191, pp. 173–183, 2022 (IF: 4.2).
  17. N. Potu, S. Bhukya, Chandrashekar Jatoth, P. Parvataneni,“Quality-aware energy efficient scheduling model for fog computing comprised IoT network,” Computers & Electrical Engineering, vol. 97, 107603, 2022 (IF: 5.5).
  18. N. Potu, Chandrashekar Jatoth, P. Parvataneni,“Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments,”Concurrency and Computation: Practice and Experience, vol. 33, no. 23, e6163, 2021 (IF: 2.2).
  19. R. Gillala, K. R. Vuyyuru, Chandrashekar Jatoth, U. Fiore,“An efficient chaotic salp swarm optimization approach based on ensemble algorithm for class imbalance problems,” Soft Computing, vol. 25, no. 23, pp. 14955–14965, 2021 (IF: 4.02).
  20. A. Dutta, Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore,“QoS-aware big service composition using distributed co-evolutionary algorithm,”Concurrency and Computation: Practice and Experience, vol. 33, no. 19, e6362, 2021 (IF: 2.2).
  21. Chandrashekar Jatoth, R. Jain, U. Fiore, S. Chatharasupalli,“Improved classification of blockchain transactions using feature engineering and ensemble learning,”Future Internet, vol. 14, no. 1, 16, 2021 (IF: 7.1).
  22. B. Bhaskar, Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore,“A MapReduce-based modified Grey Wolf optimizer for QoS-aware big service composition,”Concurrency and Computation: Practice and Experience, vol. 32, no. 8, e5351, 2020 (IF: 2.2).
  23. S. K. Gavvala, Chandrashekar Jatoth, G. R. Gangadharan, R. Buyya,“QoS-aware cloud service composition using eagle strategy,”Future Generation Computer Systems, vol. 90, pp. 273–290, 2019 (IF: 5.9).
  24. Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore, R. Buyya,“SELCLOUD: A hybrid multi-criteria decision-making model for selection of cloud services,”Soft Computing, vol. 23, no. 13, pp. 4701–4715, 2019 (IF: 4.07).
  25. S. K. Gavvala, Chandrashekar Jatoth, G. R. Gangadharan, R. Buyya,“QoS-aware cloud service composition using eagle strategy,”Future Generation Computer Systems, vol. 90, pp. 273–290, 2019 (IF: 5.9).
  26. Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore,“Optimal fitness aware cloud service composition using modified invasive weed optimization,” Swarm and Evolutionary Computation, vol. 44, pp. 1073–1091, 2019 (IF: 9.6).
  27. Chandrashekar Jatoth, G. R. Gangadharan, R. Buyya,“Optimal fitness aware cloud service composition using an adaptive genotypes evolution based genetic algorithm,”Future Generation Computer Systems, vol. 94, pp. 185–198, 2019 (IF: 5.9).
  28. Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore, R. Buyya,“QoS-aware Big service composition using MapReduce based evolutionary algorithm with guided mutation,”Future Generation Computer Systems, vol. 86, pp. 1008–1018, 2018 (IF: 5.9).
  29. Chandrashekar Jatoth, G. R. Gangadharan, U. Fiore,“Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis,”Soft Computing, vol. 21, no. 23, pp. 7221–7234, 2017 (IF: 4.07).
  30. Chandrashekar Jatoth, G. R. Gangadharan, R. Buyya,“Computational intelligence based QoS-aware web service composition: A systematic literature review,”IEEE Transactions on Services Computing, vol. 10, no. 3, pp. 475–492, 2015 (IF: 6.2).

International Conference Published:

  1. Chandrashekar Jatoth,“Privacy-Enhanced Autism Screening Through Federated Learning with Deep CNN Feature Extractors,”Proceedings of the International Conference on Power, Control and Computing Technologies (ICPC2T) , Raipur, India, pp. 1453–1458, 2026.
  2. Srikanth, M., Chandrashekar Jatoth ,“A Hybrid CNN-GAT Model for MRI Screening of Autism Spectrum Disorder,”Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2024), Communications in Computer and Information Science, vol. 2736, Springer, Cham, 2026
  3. Jaykumar Lachure, Ayush Meshram, Rajesh Doriya, Kapil Kumar Soni, Chandrasekhar Jatoth, "Dynamic Reliability Estimation with Temporal GRU Modeling for Robust Underwater Sensor Fusion", Proceedings of the 8th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2026), pg. xx-xx, June-2026.
  4. Jaykumar Lachure, Ayush Meshram, Rajesh Doriya, Kapil Kumar Soni, Chandrasekhar Jatoth, "Quantum Clock Synchronisation in Underwater Environments for Ultra-High Precision Timing", Proceedings of the 7th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2025), pg. xx-xx, December-2025.
  5. Jaykumar Lachure, Ayush Meshram, Rajesh Doriya, Kapil Kumar Soni, Chandrashekar Jatoth, "Beyond GNSS: Quantum-Enhanced Positioning, Navigation, and Timing for Underwater Robotics", Proceedings of the 16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT-2025), pg. xxx-xxx, July-2025.
  6. Chandrashekar Jatoth, J. Lachure, A. Meshram, R. Doriya, K. K. Soni,“Beyond GNSS: Quantum-Enhanced Positioning, Navigation, and Timing for Underwater Robotics,”Proceedings of the  16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT-2025), 2025. Status: Accepted/presented — not yet available online.
  7. V. K. Dwivedi, V. Shukla, Chandrashekar Jatoth, R. Doriya, R. Buyya,“SPEP: Adaptive Resource Orchestration in Quantum Networks through Strategic Entanglement Pre-Positioning,”Proceedings of the IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC), 2025.
  8. K. Majid, S. Agarwal, S. Das, R. Bassoli, F. H. P. Fitzek, Chandrashekar Jatoth, K. Kondepu,“Quantum Network Simulators Integration with Open-Source 5G Mobile Stack,” Proceedings of the Global Communications Conference (GLOBECOM 2025), pp. 5746–5751, 2025.
  9. S. Priyadarshini, Chandrashekar Jatoth, R. Doriya, R. Buyya,“Hierarchical Quantum Backbone: A Scalable and Robust Topology for Quantum Network Communication,”Proceedings of the IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC), 2025.
  10. K. Majid, L. Valcarenghi, R. Bassoli, Chandrashekar Jatoth, K. Kondepu,“QURE: Quantum-Resistant Encryption Strategies For Confidential Computing,”2025 IEEE Future Networks World Forum (FNWF), pp. 1–6, 2025.
  11. N. Sree, J. Lachure, R. Doriya, Chandrashekar Jatoth,“Enhanced Quantum Key Distribution Protocol for Secure Smart Grid Communication using Quantum Gates,”Proceedings of the 4th International Conference on Power, Control and Computing Technologies (ICPC2T), 2025.
  12. Vineet Kumar Dwivedi, Vivek Shukla, Chandrashekar Jatoth, Rajkumar Buyya“Energy Efficient Quantum Entanglement Generation Optimizing Resource Utilization in Large Network,”Proceedings of the 34th International Conference on Computer Communications and Networks (ICCCN), 2025.
  13. M. Srikanth, Chandrashekar Jatoth,“A Secure Collaborative Approach for Autism Spectrum Disorder Detection Using Decentralized Deep Learning,”Proceedings of the National Conference on Computer Vision, Pattern Recognition, Image Processing and Related Technologies, 2025.
  14. R. D. Raunak Kumar, Rahul Chandrakar, Chandrashekar Jatoth,“Precision Soil Monitoring via UAV-Captured RGB Imaging and Spectral Band Regression Using Deep Learning,”Proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Related Technologies, 2025.
  15. R. D. Saumya Priyadarshini, Chandrashekar Jatoth,“Implementing Anonymous Protocols for Secure Quantum Communication in Multi-Host Network,” Proceedings of the16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT), 2025.
  16. Chandrashekar Jatoth, S. Patil,“Price Optimization in Smart Grids through Blockchain in Cloud Computing based on Collocation Game Theory,”Proceedings of the 13th International Conference on Software and Computer Applications, Bali Island, Indonesia, pp. 339–344, 2024.
  17. S. Jain, Chandrashekar Jatoth, H. Palwe, N. Singh, S. Agrawal,“Design of a User Friendly IOT Based Interface for the Collection of Multimodal Data from Autistic Children,”Proceedings of the 3rd International Conference on Power, Control and Computing Technologies, 2024.
  18. Hada, N. S., Maloth, Chandrashekar Jatoth, Fiore, U., Sharma, S., Chatharasupalli, S., et al.“A novel recommendation system for vaccines using hybrid machine learning model,” Proceedings of the Machine Intelligence Techniques for Data Analysis and Signal Processing, 2023.
  19. G. Rekha, K. Shailaja, Chandrashekar Jatoth ,“Informative Software Defect Data Generation and Prediction: INF-SMOTE,”Proceedings of the International Conference on Advances in Computing and Data Sciences , pp. 179–191, 2022.
  20. Susheel Kumar, K., Chandrashekar Jatoth , Singh, N. P.“Segmentation of Retinal Blood Vessel Using an Algorithm-Based Gamma Distribution of Matched Filter,” Proceedings of  the Integrated Intelligence Enable Networks and Computing, Algorithms for Intelligent Systems, Springer, Singapore , 2021.
  21. Chandrashekar Jatoth , G. R. Gangadharan,“QoS-aware web service composition using quantum inspired particle swarm optimization,” Proceedings of the International Conference on Intelligent Decision Technologies, pp. 255–265, 2015.
  22. Chandrashekar Jatoth , G. R. Gangadharan,“Fitness metrics for QoS-aware web service composition using metaheuristics,” Proceedings of the International Conference on Intelligent Decision Technologies, pp. 267–277, 2015.


Other Info.

Work Experience:

  • Working as an Associate Professor at N.I.T. Raipur (C.G.), India (From June 2026-Till date)
  • Working as an Assistant Professor (Gr-I) at N.I.T. Raipur (C.G.), India (From October 2022-June 2026)
  • Working as an Assistant Professor (Gr-II) at N.I.T. Raipur (C.G.), India (From August 2021-Till date).
  • Worked as an Assistant Professor (Gr-II) at N.I.T. Hamirpur (H.P.), India (From Decemeber, 2018- July, 2021).
  • Worked as an Associate Professor at Sreenidhi Institute of Science and Technology, Hyderabad (T.S.), India (From July, 2018- December, 2018).
  • Worked as an Associate Professor at  Koneru Lakshmaiah Education Foundation, Hyderabad (T.S.), Inida (June, 2017- August, 2018).
  • Worked as a Research Fellow at Institute for Development and Research in Banking Technology (Established by Reserve Bank of India), Hyderabad (T.S.), India (March,2013- December,2017).

Administrative Experience:

  • Worked as a Assistant Faculty In-charge (Examinations & Evaluation) at NIT Hamirpur (H.P.)(April,2019-December,2019).
  • Worked as a Assistant Faculty In-charge (National Academic Depository (NAD)) at NIT Hamirpur (H.P.)(May, 2019- July, 2021).
  • Worked as a Assistant Nodal Officer (Digital India) at NIT Hamirpur (H.P.)(April, 2019- August, 2020).
  • Worked as a Assistant Warden (Kailash Boys Hostel) at NIT Hamirpur (H.P.)(May, 2020- August, 2020).

 

Book Chapters / Edited Volumes:

  1. Ayush Meshram, Jaykumar Lachure, Rajesh Doriya, Kapil Kumar Soni, Chandrasekhar Jatoth, "QIARF: Quantum-Inspired Adaptive Receiver Fusion Toward Secure Internet of Underwater Things", Secure and Responsible AI in 6G Technology-Enabled IoT and IoMT Systems, pg. xxx-xxx, CRC press Taylor & Francis Group, 2026.
  2. Navya Sree Anagani, Rajesh Doriya, and Chandrasekhar Jatoth, "Exploring the Frontier: Introduction to Quantum Computing and Quantum Cryptography", Harnessing Quantum Cryptography for Next-Generation Security Solutions, pg. xxx-xxx, IGI Global, 2024.
  3. P. Narayana, Chandrashekar Jatoth, P. Paravataneni, G. Rekha,“An efficient optimizing energy consumption using modified BEE colony optimization in fog and IoT networks,”in Big Data Analytics in Fog-Enabled IoT Networks, pp. 197–212, 2023.

 

Research Projects (Total Cost Rs. 4.52 Crores):

Details of sponsored Projects in progress

As PI (Total Funding: Rs. 2.14 Crores)

  1. Graph Neural Networks for Quantum Entanglement Optimisation in Large-Scale Quantum Systems. Role: Principal Investigator, Amount: Rs. 1,00,72,000/-, Agency: SPARC (Scheme for Promotion of Academic and Research Collaboration), Ministry of Education, Govt. of India, Duration: 2 Years.
  2. Design and Development of IoT-Accessed Secure E-Finance Platform for Managing Severe Acute Malnutrition Among Vulnerable Tribes Population in Chhattisgarh. Role: Principal Investigator, Amount: Rs. 54 Lakhs, Duration: 2 Years, Agency: NM-ICPS, IIT Bhilai.
  3. GreenWatch: Automated Violation Detection Green Compliance Framework for Mining Operations in Chhattisgarh. Role: Principal Investigator, Amount: Rs. 32,00,000/-, Duration: 18 Months, Agency: IIT Bhilai Innovation and Technology Foundation (IBITF), DST, NM-ICPS, Tribal Area Sub Plan (TSP) Scheme.
  4. Design and Development of an Interactive System for Early Diagnosis of Autism Spectrum Disorder (ASD) using Deep Learning and Federated Learning Models for Rural Communities. Role: Principal Investigator, Amount: Rs. 28 Lakhs, Duration: 3 Years, Agency: SERB.

As Co-PI (Total Funding: Rs. 4.23 Crores)

  1. Design and Development of a Quantum-based PNT System for Underwater Robot Navigation. Role: Co-Principal Investigator, Amount: Rs. 44 Lakhs, Duration: 1.6 Years, Agency: NM-ICPS, IIT Tirupati.
  2. Design and Development of an Artificial Intelligence and Deep Learning Based Model for Smart Agriculture for the SC Community. Role: Co-Principal Investigator, Amount: Rs. 1,17,58,736, Duration: 2 Years, Agency: DST, SEED Division.
  3. AI-Driven Groundwater Iron Safety Framework for Tribal Mining Communities of Chhattisgarh. Role: Co-Principal Investigator, Amount: Rs. 31.9 Lakhs, Duration: 18 Months, Agency: IIT Bhilai Innovation and Technology Foundation (IBITF), DST, NM-ICPS, Tribal Area Sub Plan (TSP) Scheme.
  4. PRATHAME (PAIR), Role: Co-Principal Investigator, Amount: Rs. 2,30,00,000/-, Duration: 12 Months, Agency: Anusandhan National Research Foundation (ANRF).

Details of sponsored Projects completed:

  1. Mapping of Scope for Single-Window Registration & Reporting of Social Protection Schemes in Chhattisgarh. Role: Principal Investigator, Amount: Rs. 5.10 Lakhs, Duration: 3 Months, Agency: UNICEF.
  2. Design and Implementation of Next Generation Tech-Agriculture for Vulnerable Tribal Community in Chhattisgarh State. Role: Principal Investigator, Amount: Rs. 25 Lakhs, Duration: 1 Year, Agency: NM-ICPS, IIT Hyderabad.
  3. Blockchain Technology and its Applications Role: Principal Investigator, Amount: Rs. 10 Lakhs, Duration: 1 Year, Agency: DST.



Revenue Generation:

  1. SkyFarm Analytics: Next Generation Agriculture through UAV & IoT Synergy (Short Term Course). Role: Coordinator, Duration: 15-12-2025 to 19-12-2025 (5 days), Sponsoring Agency: TIHAN (NM-ICPS), DST, Venue: National Institute of Technology Raipur.
  2. Advanced Topics in Fintech Security (Faculty Development Program). Role: Coordinator, Duration: 17-03-2025 to 21-03-2025 (5 days), Sponsoring Agency: MeitY, GoI, Venue: National Institute of Technology Raipur.
  3. IoT-HEALTH: IoT Enabling Technology Security and its Application on Healthcare (Short Term Course). Role: Coordinator, Duration: 09-12-2024 to 13-12-2024 (5 days), Sponsoring Agency: IBITF (NM-ICPS), IIT Bhilai, Venue: National Institute of Technology Raipur.
  4. Quantum Computing and its Applications: A Modern Approaches and Practices (Short Term Course). Role: Coordinator, Duration: 24-06-2024 to 28-06-2024 (5 days), Sponsoring Agency: Self Sponsored, Venue: National Institute of Technology Raipur.
  5. Quantum Computing and its Applications: A Modern Approaches and Practices (Workshop). Role: Coordinator, Duration: 27-02-2023 to 03-03-2023 (5 days), Sponsoring Agency: Self Sponsored, Venue: National Institute of Technology Raipur.     
  6. Advanced Topics in Fintech Security (Faculty Development Program). Role: Coordinator, Duration: 23-03-2025 to 23-03-2026 (5 days), Sponsoring Agency: MeitY, GoI, Venue: National Institute of Technology Raipur.
  7. 19th International Conference on Information and Systems Security (International Conference). Role: Secretary, Duration: 16-12-2023 to 19-12-2023 (4 days), Sponsoring Agency: LNCS, Springer, Venue: National Institute of Technology Raipur.

Consultancy Projects:

  1. Scientific Study on Safe Pillars Extraction with Suitable Support System in the Sectionalized Area of No.1 Seam at RKNT Incline, SRP Area. Role: Investigator | Amount: Rs. 9.79 Lakhs | Agency: SCCL | Duration: 28.06.2025–10.02.2026

Establishment of New Lab:

  • Applied Blockchain Center and MoU | On 17-04-2024 | Institute Level Center | Cost 20 Lakhs

Courses taught:

  • Analysis & Design of Algorithms (UG)
  • Cloud Computing / IoT (UG)
  • Advanced Algorithms / Fog Computing (PG)
  • Genetic Algorithms / Discrete Structures (UG)

Achievements:

  • Listed among the World's Top 2% Scientists by Stanford University & Elsevier (2023)
  • Recipient of IDRBT PhD Fellowship from the Reserve Bank of India (2013–2017)
  • Recipient of the DGCA Certified Drone Pilot
  • Recipient of the SPARC Award from the Minister of Education, India, and Australia.
  • Recipient of the GATE fellowship (MHRD) from 2008 to 2010.

Administrative Responsibilities:

  • Faculty Coordinator, Training and Placement, Dept. of IT, NIT Raipur (Aug 2021 – Till Date)
  • Faculty In-charge, M.Tech Lab & Departmental Purchase Committee, Dept. of IT, NIT Raipur
  • Member, Ph.D. Selection Committee & JoSSA/CSAB Admission Committee, NIT Raipur
  • Faculty In Charge “Adi Karmayogi Student Chapter” at NIT Raipur
  • Faculty In Charge “Rangmanch- The Art of Theatrical Fest”
  • Member of Installation Procurement CCTV
  • Member of the Procurement of Furniture and Placement of IOCL Funded Smart Classrooms

Other information:

  • Served as Session Chair at ITNAC 2024 (IEEE International Telecommunication Networks & Applications Conference) and ICISS (19th International Conference on Information and Systems Security), actively contributing to SPARC-funded research collaborations with the University of Melbourne and IIT Kharagpur.