Journals:

1. Rathod M., Hazarika A., Agrawal A., Kumar N., “Power Efficient Multiplier Architecture for Error Resilient Edge Applications”, in IEEE Embedded Letters, 2025. 10.1109/LES.2025.3566818
2. Hazarika A., Choudhury, N., Shu L., Su Q., “Real-time Detection of Cyber-physical Attacks on Smart Camera using Network and Telemetry Data”, in IEEE Transactions on Industrial Cyber-Physical Systems, 2025. 10.1109/TICPS.2025.3544128
3. Qin S., Shu, L., Hancke G., Huang, K., Choudhury, N., Hazarika A., “Camera Planning for Physical Safety of Outdoor Electronic Devices: Perspective and Analysis”, in IEEE/CAA Journal of Automatica Sinica, 2025.  10.1109/JAS.2025.125129 .
4. Hazarika, A., Choudhury, N., Nasralla, M.M, Khattak, S.B., Rahman, I.U., "Edge ML Technique for Smart Traffic Management in Intelligent Transportation Systems", in IEEE Access, vol. 12, pp. 25443 - 25458. 10.1109/ACCESS.2024.3365930
5.  Hazarika A., Poddar S., Rahaman H., "Survey on memory management techniques in heterogeneous computing systems", in IET Computers & Digital Techniques", vol. 14, no. 2, pp: 47-60, 2020. https://doi.org/10.1049/iet-cdt.2019.0092
6. Hazarika A, Poddar S, and Rahaman H., "High Performance Kernel Architecture for Convolutional Neural Network Acceleration", in Journal of Circuits, Systems, and Computers, World Scientific Publishing, vol. 30, no. 15, pp. 2150266(1-21), 2021. https://doi.org/10.1142/S0218126621502662
7. Hazarika A, Poddar S., Nasralla M.M., and Rahaman H., "Area and Energy Efficient Shift and Accumulator Unit for Object Detection", in Elsevier Alexandria Engineering Journal, vol. 61, no. 1, pp.795-809, 2022. https://doi.org/10.1016/j.aej.2021.04.099

Conferences:

1. Gupta M., Aranggan E., Ganatra K., Venkatagiri A., Chinmayee P, Salam S. M., Hazarika A., “ Design and Optimization of Graph Neural Networks for EEG-Driven Anxiety Classification at the Edge”, in IEEE TENCON’25, Malaysia, 2025.
2. Tekulapalli L. R, Verma A., Baruah A. R., Peddada V. S., Malviya D., Indupalli L. P., Hazarika A., “ Edge-Optimized Machine Learning Model for Real-Time Prediction of Feed and Water Intake using Multimodal Sensor Data”, in IEEE TENCON’25, Malaysia, 2025.
3. Soham Raju Kadtan S.R., Mohanty B.N., Gorrela A., Hazarika A., Choudhury N., Choudhury D., Zafaruddin S. M, “Game-Theoretic Optimal Channel Allocation for LoRaWAN in Dynamic IoT Environments”, in IEEE TENCON’25, Malaysia, 2025.
4. Prakash A., Choudhury N., Hazarika A., Gorrela A., “Effective Feature Selection for Predicting Spreading Factor with ML in Large LoRaWAN-based Mobile IoT Networks”, in IEEE NCC’25, India, 2025.
5.  Reddy K. S., Choudhury N., Hazarika A., Ojha T., “DyHSARW: A Dynamic GTS Scheduling Mechanism for Large IEEE 802.15.4 DSME-based IoT Networks”, in IEEE WCNC’24, Italy, 2025.
6. Hazarika A., Narendra V., Sistla P., Choudhury N., “Detection and Classification of Sleep Posture at Edge Device in Smart Home,” in IEEE ANTS’24, India, 2024.
7. Hazarika A., Poddar S., Choudhury N., “Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices”, IEEE COMPSAC’24, pp. 473-482, July 2024, Japan.
8.  Varma, A.M., Choudhury, N., Dave, J., Hazarika, A. and Nasralla, M.M., “LoRaWAN Scheduling Mechanism for 6G-Based LEO Satellite Communications”, in IEEE Vehicular Technology Conference-Spring, pp. 1-5, Singapore, 2024.
9. Hazarika A., Choudhury N., “iSFA: Intelligent SF Allocation Approach for LoRa-based Mobile and Static End Devices,” in IEEE WCNC’24, April 2024, Dubai.
10. Gorrela A., Choudhury N., Hazarika A., Lloret J., "Contention Congestion Collision Adaptive Data Rate for LoRaWAN-Based Challenging Industrial IoT," in IEEE Globecom Workshops, December 2023, Kuala Lumpur. 10.1109/GCWkshps58843.2023.10465013
11. Hazarika A., Kumar A., “Ensemble Learning-based Sybil Attacks Detection in Smart Meter Network,” in IEEE ANTS’23, December 2023 India.  10.1109/ANTS59832.2023.10469030
12. Hazarika A., Ajay KDK., Subash N., et al., A Survey towards implementing Smart Campus, ICSCSP, 2022, Springer.
13. Purkayastha B. B., Hazarika A., Kakkassery A.T., Poddar S., Cardiac Anomaly Detection using Embedded Attractors Reconstructed from Multichannel ECG, ICBBE 2022, Japan, ACM. https://doi.org/10.1145/3574198.3574217
14. Hazarika A., Sistla P., Venkatesh V., Choudhury N., Approximating CNN Computation for Plant Disease Detection, COMPSAC 2022, Italy, IEEE.  https://doi.org/10.1109/COMPSAC54236.2022.00175
15. Srivastava P., Ijardar K., Joshi A., Choudhury N., Hazarika A., Token Based Energy-efficient Offloading Schemes for IoV Networks, COMPSAC 2022, Italy, IEEE. https://doi.org/10.1109/COMPSAC54236.2022.00174
16. Choudhury N., Nasralla M.M., Shrivastav A., Hazarika A., DDAS: Distributed Delay Aware Scheduling for DSME based IoT Network Applications in Smart Cities, WoWMoM 2022, U.K., IEEE. https://doi.org/10.1109/WoWMoM54355.2022.00083
17. Choudhury N., Hazarika A., Low-Power DSME-Based Communication and On-Board Processing in UAV for Smart Agriculture, ICTCS 2020, India, Springer. https://doi.org/10.1007/978-981-16-0882-7_56
18. Kaarmukilan S. P., Hazarika A., Kakkassery A.T., Poddar S., Rahaman H., An Accelerated Prototype with Movidius Neural Compute Stick for Real-Time Object Detection. ISDCS 2020, India, IEEE. https://doi.org/10.1109/ISDCS49393.2020.9262996
19. Hazarika A., Jain A., Poddar S., Rahaman H., Shift and Accumulate Convolution Processing Unit. TENCON’2019, India, IEEE. https://doi.org/10.1109/TENCON.2019.8929364
20. Agarwal P., Poddar S., Hazarika A., Rahaman H. Learning to synthesize faces using voice clips for Cross-Modal biometric matching. TENSYMP’19, India, IEEE.   https://doi.org/10.1109/TENSYMP46218.2019.8971330
21. Hazarika A., Poddar S., Rahaman H., Hardware Efficient Convolution Processing Unit for Deep Neural Networks. ISDCS 2019, Japan, IEEE. https://doi.org/10.1109/ISDCS.2019.8719278