Ph.D. in Electrical Engineering (July 2014 – January 2019)
Indian Institute of Technology, Kanpur, Uttar Pradesh, India
Supervisor: Prof. Rajesh M. Hegde
CGPA: 8.00

M. Tech. in Digital Communication (July 2011 – June 2013)
Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh, India
Supervisor: Prof. Aditya Trivedi
CGPA: 8.89

B.Tech. in Electronics & Communication (July 2004 – June 2008)
Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India
Percentage: 72.78

* Please follow IEEE, Elsevier, IET, and Springer copyright policies if you download these papers, unless they are open-access articles.

Year Wise Publication (In Reverse Chronological Order)

In Peer Reviewed International Journals (Published)

1. SR Yeduri, N. Sharma, OJ Pandey, and LR Cenkeramaddi, "Throughput Maximization in Delay-Critical and Energy-Aware SW-UAV-WNs Using Q-Learning," IEEE Open Journal of the Communications Society, DOI:10.1109/OJCOMS.2024.3496740, Nov. 2024, (Accepted) (Impact Factor: 6.3).
2. D. Sarkar, Yogita, SS Yadav, LR Cenkeramaddi, and OJ Pandey, "TDRA: Transformer Based Deep Recurrent Architecture for Automatic Modulation Classification (AMC) Pertinent to Intelligent Reflecting Surface Assisted Internet of Things (IoT) Networks" IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2024.3455434, Sep. 2024, (Accepted) (Impact Factor: 8.2).
3. SR Yeduri, S. Jeeru, OJ Pandey, and LR Cenkeramaddi, "Energy-Efficient and Latency-Aware Data Routing in Small-World Internet of Drone Networks" IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2024.3452414, Aug. 2024, (Accepted) (Impact Factor: 4.7).
4. SS Kumar, OP Sahoo, G Mundada, S Aala, S. Sudarasa, OJ Pandey, S. Chinnadurai, O. Matoba, I. Muniraj, and A Deshpande, "Deep Learning-based Hyperspectral Microscopic 2 Imaging for Cholangiocarcinoma Detection and 3 Classification" Optics Continuum, Jun. 2024, (Accepted) (Impact Factor: 1.1).
5. V. Tiwari, C. Pandey, SS Yadav, DS Roy, OJ Pandey, and LR Cenkeramaddi, "Maximizing Coverage and Energy Conservation in B5G Networks using Hexagonal Tiling to Deploy FT-S2ES" IEEE Open Journal of the Communications Society, DOI: 10.1109/OJCOMS.2024.3389591, Apr. 2024, (Accepted) (Impact Factor: 6.3).
6. NS Chilamkurthy, SA Hakeem, SK Tiwari,  A Ghosh, LR Cenkeramaddi, and OJ Pandey, "Optimal Routing Protocol in LPWAN Using SWC: A Novel Reinforcement Learning Framework" IEEE Sensors Journal, DOI 10.1109/JSEN.2024.3378463, Mar. 2024 (Accepted), (Impact Factor: 4.3).
7. A. Mishra, Y. Garg, OJ Pandey, M. Shukla, A. Vasilakos, and R. Hegde, “A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks,” IEEE Transactions on Sustainable Computing, DOI: 10.1109/TSUSC.2024.3358915, Jan. 2024, (Accepted), (Impact Factor: 3.0). 
8. N. Sharma, P. Thota, T. Yuvaraj, S. Tripathi, and OJ Pandey, "OptRISQL: Towards Performance Improvement of Time-Varying IoT Networks Using Q-Learning," IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2024.3358835, Jan. 2024, (Accepted), (Impact Factor: 4.7).
9. Anjali, D. Singh, OJ Pandey, and HN Dai, "STCNN: Combining SMOTE-TOMEK with CNN for Imbalanced Classification of Alzheimer’s Disease", IEEE Sensors Letters, DOI: 10.1109/LSENS.2024.3357196, Jan. 2024, (Accepted), (Impact Factor: 2.2).  
10. Y. Liu, HN Dai, Q. Wang, OJ Pandey, Y. Fu, N. Zhang, D. Niyato, and CC Lee, "Space-Air-Ground Integrated Networks: Spherical Stochastic Geometry-Based Uplink Connectivity Analysis" IEEE Journal on Selected Areas in Communications, DOI: 10.1109/JSAC.2024.3365891, Dec. 2023, (Accepted), (Impact Factor: 13.8).
11. E. Kumari, M. Shukla, OJ Pandey, S. Yadav, "NeuroAid: Emotion-Based EEG Analysis for Parkinson’s Disease Identification", IEEE Sensors Letters, DOI: 10.1109/LSENS.2023.3335226, Nov. 2023, (Accepted), (Impact Factor: 2.2). 
12. AA, H. Dai, J. Kumar, and OJ Pandey, "AERed: An Autoencoder-decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition" IEEE Sensors Journal, DOI: 10.1109/JSEN.2023.3323328, Oct. 2023 (Accepted). (Impact Factor: 4.3).
13. A. Shrivastava, UK Agrawal, MK Shukla, and OJ Pandey, "Neural Networks Based Phase Estimation and Symbol Detection for RIS-Assisted Wireless Communications" IEEE Communications Letters, DOI: 10.1109/LCOMM.2023.3323098, Oct. 2023, (Accepted), (Impact Factor: 3.7).
14. D. Kushwaha, M. Kalavadia, V. Hegde, and OJ Pandey, "Energy-Efficient and Latency-Aware Blockchain-Enabled Federated Learning for Edge Networks" IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2023.3322340, Sep. 2023 (Accepted), (Impact Factor: 4.0). 
15. A. Shukla, A. Sood, and OJ Pandey, "A Computationally-Efficient and QoS-Aware Data Offloading Framework for Biased Fog Networks" IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2023.3319977, Sep. 2023 (Accepted), (Impact Factor: 4.0). 
16. NS Chilamkurthy, N. Karna, V. Vuddagiri, SK Tiwari,  A Ghosh, LR Cenkeramaddi, and OJ Pandey, "Energy-Efficient and QoS-Aware Data Transfer in Q-Learning-Based Small-World LPWANs" IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2023.3304337, Aug. 2023 (Accepted), (Impact Factor: 8.2).
17. S. Tripathi, OJ Pandey, and R. Hegde, "Socially Aware Network Clustering for Throughput Maximization in Mobile Wireless Sensor Networks" IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2023.3294616, Jul. 2023, Early Access. (Impact Factor: 4.7).
18. N. Sharma, U. Agrawal, S. Shaurya, S. Mishra, and OJ Pandey, “Energy-Efficient and QoS-Aware Data Routing in Node Fault Prediction Based IoT Networks” IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2023.3268676, Apr. 2023, Early Access. (Impact Factor: 4.7).
19. N. Gupta, RS Yadav, RK Nagaria, A. Tripathi, and OJ Pandey, "Anchor-based Void Detouring Routing Protocol in Three Dimensional IoT Networks" Elsevier Journal on Computer Networks, Mar. 2023 (Accepted), Early Access,  (Impact Factor: 4.4).
20. S. Tripathi, OJ Pandey, and R Hegde, "An Optimal Reflective Elements Grouping Model for RIS-Assisted IoT Networks Using Q-Learning" IEEE Transactions on Circuits and Systems II: Express Briefs, Feb. 2023 (Accepted), DOI: 10.1109/TCSII.2023.3251373 (Impact Factor: 4.0).
21. A. Tripathi, OJ Pandey, "Divide and Distill: New Outlooks On Knowledge Distillation for Environmental Sound Classification"  IEEE/ACM Transactions on Audio, Speech, and Language Processing, Feb. 2023, (Accepted), DOI: 10.1109/TASLP.2023.3244507, (Impact Factor: 4.1).
22. SR Yeduri, NSR Chilamkurthy, OJ Pandey, LR Cenkeramaddi, "Energy and Throughput Management in Delay-Constrained Small-World UAV-IoT Network" IEEE Internet of Things Journal, Dec. 2022, (Accepted), DOI: 10.1109/JIOT.2022.3231644, (Impact Factor: 8.2).
23. K. Gupta, MB Srinivas, J. Soumya, OJ Pandey, LR Cenkeramaddi, "Automatic Contact-less Monitoring of Breathing Rate and Heart Rate utilizing the Fusion of mmWave Radar and Camera Steering System", IEEE Sensors Journal, Volume: 22, Issue: 22, DOI: 10.1109/JSEN.2022.3210256, 15 November 2022. (Impact Factor: 4.3).
24. S. Tripathi, OJ Pandey, LR Cenkeramaddi, R Hegde, "A Socially-Aware Radio Map Framework for Improving QoS of UAV-Assisted MEC Networks", IEEE Transactions on Network and Service Management, DOI 10.1109/TNSM.2022.3206473. (Impact Factor: 4.7).
25. NS Chilamkurthy, OJ Pandey, A Ghosh A, LR Cenkeramaddi, HN Dai, "Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects", IEEE Access, Volume: 10, DOI: 10.1109/ACCESS.2022.3196182, 3 Aug 2022. (Impact Factor: 3.4).
26. S. Dhuli, F. Atik, F. Parveen, and OJ Pandey, "Performance Analysis of Consensus Algorithms over Prism Networks Using Laplacian Spectra", IEEE Networking Letters, Volume: 4, Issue: 3, DOI: 10.1109/LNET.2022.3181203, September 2022. (Not Yet Released).
27. D Gonz´alez Le´on, J Groli, SR Yeduri, D Rossier, R Mosqueron, OJ Pandey, and LR Cenkeramaddi, "Video Hand Gestures Recognition using Depth Camera and Lightweight CNN", IEEE Sensors Journal, Volume: 22, Issue: 15, 15 July 2022. (Impact Factor: 4.3).
28. SR Yeduri, DS Breland, OJ Pandey, and LR Cenkeramaddi, "Updating Thermal Imaging Dataset of Hand Gestures with Unique Labels", Elsevier Journal on Data in Brief, 108037, June 2022. (Impact Factor: 1.0).
29. Dayal, A., Yeduri, S.R., Koduru, B.H., Jaiswal, R.K., Soumya, J., Srinivas, M.B., OJ Pandey, and Cenkeramaddi, L.R., "Lightweight deep convolutional neural network for background sound classification in speech signals", The Journal of the Acoustical Society of America, 151(4), pp.2773-2786. (Impact Factor: 2.4).
30. SR Yeduri, DS Breland, SB Skriubakken, OJ Pandey, and LR Cenkeramaddi, "Low resolution thermal imaging dataset of sign language digits", Elsevier Journal on Data in Brief, 107977, April 2022. (Impact Factor: 1.2).
31. T Bose, A Suresh, OJ Pandey, LR Cenkeramaddi, RM Hegde, "Improving Quality-of-Service in Cluster-Based UAV-Assisted Edge Networks" IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2021.3139892, January 2022. (Impact Factor: 4.7).
32. DS Breland, A Dayal, A Jha, PK Yalavarthy, OJ Pandey, and LR Cenkeramaddi, "Robust Hand Gestures Recognition using a Deep CNN and Thermal Images," IEEE Sensors Journal, Volume: 21, Issue: 23, December 2021. (Impact Factor: 4.3).
33. YS Reddy, A Kumar, OJ Pandey, and LR Cenkeramaddi, "Spectrum cartography techniques, challenges, opportunities, and applications: A survey," Elsevier Journal on Pervasive and Mobile Computing, doi.org/10.1016/j.pmcj.2021.101511. (Impact Factor: 3.0).
34. OJ Pandey, T Yuvaraj, JK Paul, Ha H Nguyen, K Gundepudi, and MK Shukla,"Improving Energy Efficiency and QoS of LPWANs for IoT Using Q-Learning Based Data Routing", IEEE Transactions on Cognitive Communications and Networking, DOI: 10.1109/TCCN.2021.3114147. (Impact Factor: 7.4).
35. OJ Pandey, V Gautam, S Jha, MK Shukla, and RM Hegde, “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN.” IEEE Communications Letters, vol. 24, no. 11, pp. 2579-2583, November 2020. (Impact Factor: 3.7).
36. MK Shukla, Ha H. Nguyen, and OJ Pandey, “Multiuser Full-Duplex IoT Networks with Wireless-Powered Relaying: Performance Analysis and Energy Efficiency Optimization.” IEEE Transactions on Green Communications and Networking, vol. 4, no. 4, pp. 982-997, December 2020. (Impact Factor: 5.3).
37. OJ Pandey, V Gautam, Ha H. Nguyen, MK Shukla, and RM Hegde, “Fault-Resilient Distributed Detection and Estimation over a SW-WSN Using LCMV Beamforming.” IEEE Transactions on Network and Service Management, vol. 17, no. 3, pp. 1758-1773, September 2020. (Impact Factor: 3.4).
38. MK Shukla, Ha H. Nguyen, and OJ Pandey, “Secrecy Outage Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems.” IEEE Access, vol. 8, pp. 39502-39512, February 2020. (Impact Factor: 3.4).
39. OJ Pandey, and RM Hegde, “Low-Latency and Energy-Balanced Data Transmission over Cognitive Small World WSN.” IEEE Transactions on Vehicular Technology, vol. 67, no. 8, pp. 7719-7733, August 2018. (Impact Factor: 6.1).
40. OJ Pandey, A Mahajan, and RM Hegde, “Joint Localization and Data Gathering over a Small-World WSN with Optimal Data MULE Allocation.” IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 6518-6532, July 2018. (Impact Factor: 6.1).
41. OJ Pandey, and RM Hegde, 2017, “Node localization over small world WSNs using constrained average path length reduction.” Elsevier Journal on Ad Hoc Networks, 2017, 67, pp. 87-102. (Impact Factor: 4.4). 
42. OJ Pandey, and RM Hegde, “Cooperative Localization over Small World WSN using Optimal Allocation of Heterogeneous Nodes.” IET Wireless Sensor Systems, vol. 8, no. 4, pp. 162-169, August 2018. (Not Yet Released).
43. OJ Pandey, R Sharan, and RM Hegde, 2017, “Localization in Wireless Sensor Networks Using Visible Light in Non-Line of Sight Conditions.” Springer Journal on Wireless Personal Communications, vol. 97, no. 4, pp. 6519-6539, August 2017. (Impact Factor: 1.9). 

In Peer Reviewed International/National Conferences (Published)

1. N. Sharma, P. Pandey, Aryan, P. Rathore, and OJ Pandey, "A Novel Routing Protocol over Time-Varying IoT Network Using RTS/CTS Framework" In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2024.
2. N. Sharma, A. Gupta, S. Deepak, and OJ Pandey, "Node Fault Prediction Assisted Small-World IoT Networks Using ML Frameworks: Towards Performance Improvement" In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2024.
3. N. Sharma, P. Rathore, M. Shukla, and OJ Pandey, "Heuristic-based Multicasting utilizing Network Coding over a Multi-Hop Wireless Mesh Network" In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2024.
4. S Dwivedi, T Sandhan, OJ Pandey, and RM Hegde,"swCNN: A Small World Convolutional Neural Network for Efficient Training" In 27th International Conference on Pattern Recognition (ICPR), pp. 1-15, Springer, 2024.
5. SRK Ayaluru, C Shrivastava, SK Tiwari, N Pandey, G Sharma, and OJ Pandey, "A Two-way Synchronization Method for Molecular Bio-nanosensor Networks using Truncated Lévy Distribution" In IEEE International Conference on Information Communication Technology (CICT), pp. 1-6, IEEE 2024.
6. R. Kumar, OJ Pandey, and R. Hegde, "An Unified Data Compression Framework in an IoT Network: Towards Performance Improvement" In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2023.
7. S. Dwivedi, T. Sandhan, OJ Pandey, R. Hegde, "Small-World Inspired Neural Network (SW-NN) for an Effective and Accurate Diagnosis of Diabetes" In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2023.
8. S. Tripathi, OJ Pandey, R Hegde, "Optimal Data Transfer over RIS-Assisted Edge Networks Using Coordinated 3D Beamforming" In 2023 Twenty-Ninth National Conference on Communication (NCC), pp. 1-6. IEEE, 2023.
9. S. Tripathi, OJ Pandey, R Hegde, "Low-latency Data Transfer over SNR Constrained IoT Networks Using Optimal Active RIS Elements: A Q-learning Framework" 2022 IEEE 8th World Forum on Internet of Things.
10. S. Tripathi, OJ Pandey, R Hegde, "Energy-Efficient Data Transfer in Delay-Throughput Constrained Small-World LPWAN Using RISs" 2022 IEEE 8th World Forum on Internet of Things.
11. RR Yakkati, B Pardhasardhi, SR Yeduri, OJ Pandey, LR Cenkeramaddi, "Power Transmission Line Classification from Images using Pre-trained Deep Learning Models," 2022 IEEE International Symposium on Smart Electronic Systems (iSES).
12. S. Tripathi, OJ Pandey, and Rajesh M. Hegde, “Optimal Active Elements Selection in RIS-Assisted Edge Networks for Improved QoS.” In Sensor Array and Multichannel Signal Processing Workshop (SAM), 12th International Workshop on, pp. 1-5. IEEE, 2022.
13. S. Tripathi, OJ Pandey, LR Cenkeramaddi, and Rajesh M. Hegde, “Joint Optimization of Network Lifetime and SNR in UAV-Assisted Edge Networks” In Signal Processing and Communications (SPCOM), 14th International Conference on, pp. 1-5. IEEE, 2022.
14. S Tripathi, OJ Pandey, RM Hegde, “Optimal Data Transfer in UAV-Assisted Edge-Networks Using 3D Beamforming.” In 2021 Twenty Seventh National Conference on Communication (NCC), pp. 1-6. IEEE, 2021.
15. OJ Pandey, NS Rao, and RM Hegde, "Optimal Link Scheduling for Low Latency Data Transfer over Small World WSNs,” In 2021 Twenty Seventh National Conference on Communication (NCC), pp. 1-6. IEEE, 2021.
16. OJ Pandey, RM Hegde, "Small World Models for Development of Wireless Sensor Network Services," In 2019 Twenty Fifth National Conference on Communication (NCC), pp. 1-3. IEEE, 2019.
17. OJ Pandey, A Mahajan, and RM Hegde, “Cooperative localization in small world wireless sensor networks.” In 2017 9th International Conference on Communication Systems and Networks (COMSNETS), pp. 391-392. IEEE, 2017.
18. OJ Pandey, Ashutosh Kumar, and RM Hegde, “Localization in wireless sensor networks with cognitive small world characteristics.” In 2016 Twenty Second National Conference on Communication (NCC), pp. 1-6. IEEE, 2016.
19. OJ Pandey, A Trivedi, and MK Shukla, “Outage performance of decode-forward and amplify-forward protocols in cooperative wireless communication.” In Tenth International Conference on Wireless and Optical Communications Networks (WOCN), pp. 1-5. IEEE, 2013.
20. MK Shukla, A Trivedi, and OJ Pandey, “Physical layer authentication for mobile terminals over MIMO fading wiretap channels.” In Second International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 638-642. IEEE, 2013.
21. A Gupta, OJ Pandey, MK Shukla, A Dadhich, S Mathur, and A Ingle, “Computational intelligence based intrusion detection systems for wireless communication and pervasive computing networks.” In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1-7. IEEE, 2013.
22. A Gupta, OJ Pandey, MK Shukla, A Dadhich, A Ingle, and V Ambhore, “Intelligent Perpetual Echo Attack Detection on User Datagram Protocol Port 7 Using Ant Colony Optimization.” In 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC), pp. 419-424. IEEE, 2014.
23. A Gupta, OJ Pandey, MK Shukla, A Dadhich, A Ingle, and P Gawande, “Towards context-aware smart mechatronics networks: Integrating swarm intelligence and ambient intelligence.” In 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), pp. 64-69. IEEE, 2014.
24. B. Pandey, T Kumar, T Das, R Yadav, and OJ Pandey, “Capacitance scaling based energy efficient FIR filter for digital signal processing.” In 2014 International Conference on Optimization, Reliability, and Information Technology (ICROIT), pp. 448-451. IEEE, 2014
25. PR Singh, B Pandey, T Kumar, T Das, and OJ Pandey, “Output load capacitance based low power implementation of UART on FPGA.” In 2014 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-4. IEEE, 2014.

Book Chapters

1. NS Chilamkurthy, SA Hakeem, S. Tiwari, A. Ghosh, and OJ Pandey, “Incorporating Small-World Characteristics into LPWAN: A Comparative Analysis.” In 5th World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), Springer Book Series, 2024.
2. S. Tiwari, S. Tripathi, M. K. Shukla, and OJ Pandey, "Revolutionizing 6G Communication: Unleashing the Potential of Reconfigurable Intelligent Surfaces." In the Book "Edge-Enabled 6G Networking: Foundations, Technologies, and Applications", Springer Nature, 2024.

Patents:

     1. S. Dhuli, A. Fouzul, F. Parveen, OJ Pandey, "A System for Determining The Performance of a Consensus Mechanism for an M-Dimensional Scale-Free Network," Indian Patent, Application No. 202241069312, Date of filing of Application:01/12/2022, Publication Date:30/12/2022.

     2. NS Chilamkurthy, SA Hakeem, KM Santhi, A. Ghosh, SK Tiwari, OJ Pandey, "A Q-Learning based Heterogenous SW-LPWAN for Low Transmission Delay and Improved Energy-Efficiency," Indian Patent, Application No. 202441045389, Date of filing of Application:12/06/2024.

     3. OJ Pandey, N. Sharma, U Agarwal, K Singh, "A System and Method for Ameliorating Internet of Things (IoT) Network" Indian Patent, Application No. 202411083524, Date of filing of Application: 30/10/2024.

Research Project (Under Progress)

1. Design and Development of Cognitive Small-World LPWANs for Internet of Things towards Health Monitoring, Sponsored by SERB, DST, India under Start-up Research Grant (SRG) - for Rs. 30.11 Lakh, January 2022 - January 2024 (Principal Investigator).

Brief Project Summary: The introduction of small-world phenomena in an LPWAN will bring down average path length (APL) while maintaining high average clustering coefficient (ACC), which are known as small-world characteristics (SWC) of a network. To reduce the APL of the network, links that are longer in length (above 25% of the network diameter), can be created in a regular network to develop a network that exhibits SWC. Such a small-world LPWAN when designed with novel routing strategies leads to optimized hop counts in device data transmission. Utilization of optimal hops towards data transfer improves the network performance in various contexts such as reduced data transmission delay, increased energy efficiency of the devices, minimized data interference, and more reliable data gathering at the gateway. Therefore, the primary motivation of this research proposal is to develop small-world LPWAN in a cognitive manner resulting in the development of an intelligent health monitoring system with improved system performance in the context of several evaluation parameters.     

     2. Development and Analysis of Cognitive Federated Learning Framework over Edge Networks for Defence Applications, Sponsored by DRDO, DYSL-CT, IITM Research Park, Chennai, for Rs. 49.81 Lakh, December 2024 - December 2026 (Principal Investigator).

Brief Project Summary: Federated Learning (FL) has emerged as a promising paradigm, allowing decentralized training of machine learning models without sharing sensitive data and results in improved energy efficiency, minimized bandwidth requirement, reduced latency, faster response, and increased reliability and privacy. FL enables multiple devices, or nodes, to collaboratively train a model while keeping the data localized. This is vital in defence scenarios where data may be generated across various edge devices in different geographical locations. By leveraging FL, defence organizations can achieve improved data privacy as the sensitive information remains on local devices resulting in minimized risk of data breaches. FL enabled systems provide better model accuracy as the training on diverse datasets from different locations can lead to more robust and generalized models. Such systems also reduce bandwidth usage, data transfer delay, and energy consumption, as only model updates are communicated over the networks. Cognitive computing involves the simulation of human thought processes in machines, enabling them to learn from experiences and adapt to new situations. In edge networks, cognitive FL helps in optimizing the resource allocation by adaptively managing the computing resources at the edge, based on the workload and data availability. It provides contextual decision-making by utilizing the contextual information, and improving decision-making processes in dynamic environments, typical of defence scenarios. Cognitive FL systems support real-time learning by enabling continuous model updates and improvements, as new data arrives. While the potential of cognitive FL in edge networks is significant, several challenges must be addressed such as clustering of the devices, data heterogeneity, resource constraints, and routing of model parameters. Looking into these challenges, this project aims to develop a cognitive FL framework tailored for edge networks in defence applications. 

Session 2024-25: (Even Semester) 

• EO-203: Digital Circuits and Systems
• EC-273: Digital Circuits and Systems Lab

Session 2024-25: (Odd Semester) 

• EC-423: Internet of Things
• EC-523: Neural Networks

Session 2023-24: (Even Semester) 

• EO-203: Digital Circuits and Systems
• EC-273: Digital Circuits and Systems Lab

Session 2023-24: (Odd Semester)    

• EC-423: Internet of Things
• EC-523: Neural Networks

Session 2022-23: (Even Semester) 

• EO-203: Digital Circuits and Systems
• EC-273: Digital Circuits and Systems Lab
• EC-553: Broadband Networks and Network Management

Session 2022-23: (Odd Semester) 

• EO-301: Digital Circuits and Systems
• EC-423: Internet of Things
• EC-373: Microprocessor Lab

Session 2021-22: (Summer Semester) 

• EC-102: Electronic Circuit Workshop
• EO-102: Fundamentals of Electronics and Instrumentation Engineering

Session 2021-22: (Even Semester) 

• EO-203: Digital Circuits and Systems
• EO-102: Fundamentals of Electronics and Instrumentation Engineering
• EC-273: Digital Circuits and Systems Lab

Assistant Professor, Department of Electronics Engineering, IIT (BHU), Varanasi, 24 Jan. 2022 – Till Date (Pay Level 12: Grade I)

Assistant Professor, Department of Electronics Engineering, IIT (BHU), Varanasi, 26 Nov. 2021 –  23 Jan. 2022 (Pay Level 11: Grade II)

Assistant Professor, Department of Electronics and Communication Engineering, SRM AP, Andhra Pradesh, 26 Dec. 2019 – 25 Nov. 2021

Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, University of Saskatchewan, Canada, 1 Jun. 2019 – 10 Dec. 2019

Research Fellow (Adhoc), IIT Kanpur, 05 Jan. 2019 – 31 May 2019

Senior Lecturer, JECRC Jaipur, 01 Jul. 2013 – 01 Jul. 2014

Service Engineer, FANUC India Pvt. Ltd., 12 Apr. 2010 – 31 Aug. 2010

Assistant Manager, Escorts Ltd. Faridabad, 01 Jul. 2008 – 25 Mar. 2010.

Looking for highly motivated graduates to work in the area of Signal Processing, Communications, and Networking. In general, the candidates will explore the areas of Wireless Sensor Networks (WSNs), Low-Power Wide Area Networks (LPWANs), and Edge and Fog Networks towards their applications in Cyber Physical Systems (CPS), Internet of Things (IoT), and Context-aware Pervasive Systems. In particular, the candidate will explore social network models for the development of various network services in the context of sensor node localization, network lifetime management, energy-harvesting, time synchronization, low-latency and energy-balanced data transmission, bandwidth efficient network development, and distributed detection and estimation among other quality-of-service issues. Additional, research areas which can be explored by the candidate are machine learning based UAV-Assisted wireless networks, 5G-mm Wave for IoT applications, Visible Light Communication (VLC), and Physical Layer Wireless Communication. 

Candidates can apply through IIT(BHU) PG admission portal for availing Institute assistantship and having their own fellowship from any other recognized funding agencies.

Current Vacancies:
Recruitment of post of Junior Research Fellow (JRF)  in the Department of Electronics Engineering:
Please visit for more details at:

https://iitbhu.ac.in/contents/institute/2022/project/project_jrf_ece_lpwav.jpg

Serving as a Reviewer for the Following Journals

• IEEE Transactions on Green Communications and Networking
• IEEE Transactions on Network and Service Management
• IEEE Transactions on Network Science and Engineering
• IEEE Transactions on Wireless Communications
• IEEE Transactions on Communications
• IEEE Transactions on Vehicular Technology
• IEEE Transactions on Industrial Informatics
• IEEE Transactions on Intelligent Transportation Systems
• IEEE Communications Letters
• IEEE Access
• Elsevier Adhoc Networks
• Elsevier Computer Networks
• Elsevier Computer Communications
• Springer Wireless Personal Communications
• IET Wireless Sensor Systems
• IEEE Internet of Things
• IEEE Sensors Journal
• MDPI Sensors
• MDPI Electronics
• MDPI Symmetry

Serving as a Reviewer for the Following Conferences

• Signal Processing and Communications (SPCOM)
• National Conference on Communications (NCC)
• Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim)

• Indian Institute of Technology BHU, Varanasi, India

• Department of Electronics Engineering IIT BHU

• SRM University AP, Andhra Pradesh

• University of Saskatchewan

• Department of Electrical and Computer Engineering UoS

• Indian Institute of Technology Kanpur

• Department of EE, IITK

• WSN Lab, IITK

• Upcoming Conferences (EDAS)

• Google Scholar

• Researchgate

• Linkedin

• Facebook

Ph.D.

1- Neha Sharma (22091004) on "Joint node fault prediction and optimal data routing in IoT networks" (ongoing).

Neha Sharma is a PMRF candidate through the project proposal “Energy-Efficient and QoS-Aware Data Routing in Node Fault Prediction Based IoT Networks”.

2- Vikash Kumar Bhardwaj (22091008) on "Node localization in RIS-assisted IoT networks" (ongoing).

3- Dhiraj Pandey (24091005) on "Topic is not yet decided" (ongoing).

4- Tonmoy Rajkhowa (24091015) on "Automatic Modulation Classification Using Machine Learning Frameworks" as Co-Supervisor.

M.Tech.

1- Vivek Singh (22092024) on "A Cognitive Routing Protocol for IoT Networks With Node Fault Prediction Using ML Frameworks" (completed).

2- Harshita (23092002) on "Improving the performance of IoT networks using node fault prediction based data routing" (ongoing).

1- Core committee member at the Institute Level for review of UG/PG Programme course structures, Department Electives, and Minor Courses for the year 2024-205.

2- Hostel Warden for Dhanrajgiri Hostel, IIT (BHU) Varanasi from June 2024 to till date.

3- Hostel Warden for Dr. C. V. Raman Hostel, IIT (BHU) Varanasi from May 2022 to May 2024.

4- Placement Co-ordinator for the Department of Electronics Engineering, IIT (BHU) Varanasi for the year 2022-2023.

5- Purchase Committee Member for the Department of Electronics Engineering, IIT (BHU) Varanasi for the year 2022-2023.

6- DUGC Member for the Department of Electronics Engineering, IIT (BHU) Varanasi from August 2022 to till date.

7- Chairman, anti-ragging committee of Gymkhana for the session 2024-2025 from 04th July 2024 onwards.

8- Counsellor, film, and media council of Gymkhana council for the session 2024-2025 from 03rd July 2024 onwards.

9- Member, of the anti-ragging committee of the Electronics Engineering Department for the sessions, 2023-2024 and 2024-2025.