Behera, A.P., Daubaris, P., Bravo, I., Gallego, J., Morabito, R., Widmer, J., and Champati, J.P. (2025), "Exploring the boundaries of on-device inference: When tiny falls short, go hierarchical," IEEE Internet of Things Journal. (Q1, I.F. 8.9)
Shivhare, A., Behera, A. P., and Kumar, M. (2025), "Intensity Based Event Detection in Sensor Based IoT," IEEE Transactions on Network Science and Engineering. (Q1, I.F. 7.9)
Behera, A. P., Prakash, S., Khanna, S., Nigam, S., and Verma, S. (2024), "CNN based Metrics for Performance Evaluation of Generative Adversarial Networks," IEEE Transactions on Artificial Intelligence. (Q1)
Nigam, S.∗, Behera, A. P.∗, Verma, S.∗, and Nagabhushan, P.∗ (2024), "Deformity Removal from Handwritten Text Documents using Variable CycleGAN," International Journal on Document Analysis and Recognition. (Q2, I.F. 1.8)
Nigam, S.∗, Behera, A. P.∗, Gogoi, M.∗, Verma, S.∗, and Nagabhushan, P.∗ (2023), "Strike off removal in Indic scripts with transfer learning," Neural Computing and Applications. (Q1, I.F. 4.5)
Behera, A. P., Rani, P., Verma, S., and Kumar, M. (2022), "Curvature Regularized Similarity Based Ricci Flow Embedding," IEEE Transactions on Emerging topics in Computational Intelligence. (Q1, I.F. 6.5)
Behera, A. P., Singh, J., Verma, S., and Kumar, M. (2022), "Data Visualization through Nonlinear Dimensionality Reduction using Feature Based Ricci Flow Embedding," Multimedia Tools and Applications. (Q1, I.F. 3)
Behera, A. P., Parhi, E., Verma, S., and Kumar, M. (2021), "WSN Localization Using Similarity-Based Ricci Flow Embedding," IEEE Sensors Journal. (Q1, I.F. 4.5)
Behera, A. P., Singh, A., Verma, S., and Kumar, M. (2020), "Manifold Learning with Localized Procrustes Analysis based WSN Localization" IEEE Sensors Letters. (Q2, I.F. 2.2)
Letsiou, A., Moothedath, V.N., Behera, A. P., Champati, J.P. and Gross, J. (2024). Hierarchical Inference at the Edge: A Batch Processing Approach. In IEEE/ACM Symposium on Edge Computing (SEC)
Behera, A. P., Morabito, R., Widmer, J., and Champati, J. P. (2023). Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices. In Proc. ACM MobiCom
Al-Atat, G., Fresa, A., Behera, A. P., Moothedath, V. N., Gross, J., and Champati, J. P. (2023). The Case for Hierarchical Deep Learning Inference at the Network Edge. In Proc. NetAI WKSHP, ACM MobiSys
Behera, A. P., Godage, S., Verma, S., and Kumar, M. (2021). Regularized Deep Convolutional Generative Adversarial Network. In Proc. IAPR International Conference on Computer Vision and Image Processing (CVIP)
"Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical", MNNIT Allahabad, Prayagraj, India, 2025.
“Efficient LLM Inference using Multi-LLM Routing and Cascading in Resource Contrained Environments”, in “Workshop on Nordic University Cooperation on Edge Intelligence (NUEI)” held at Aarhus University, Aarhus, Denmark, 2025.
“ Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices”, in KTH Royal Institute of Technology, Stockholm, Sweden, 2024.
"Similarity Based Ricci Flow Embedding", IMDEA Networks Institute, Madrid, Spain, 2022.
“Nonlinear Dimensionality Reduction using Ricci Flow Embedding”, in Department of Information Technology, IIIT Allahabad, Prayagraj, India, 2022.
“Dimensionality Reduction in Machine Learning”, in “Workshop on Fairness and Trust in Machine Learning Techniques and Feature Engineering” held at United University, Prayagraj, India, 2021.
“Boon and Bane of Dimensionality”, in “Workshop on Machine Learning and Data Analytics” held at IIIT Allahabad, Prayagraj, India, 2019.