Predicting Human Count through Environmental Sensing in Closed Indoor Settings. - Shamir Ahmed; Uday Kamal; Tarik Reza Toha; Nafisa Islam; A. B. M. Alim Al Islam (MobiQuitous, 2018)

Application of DenseNet in Camera Model Identification and Post-processing Detection. - Abdul Muntakim Rafi; Uday Kamal; Rakibul Hoque; Abid Abrar; Sowmitra Das; Robert Laganière; Md. Kamrul Hasan 001 (CVPR Workshops, 2019)

Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet. - Uday Kamal; Abdul Muntakim Rafi; Rakibul Hoque; Jonathan Wu 001; Md. Kamrul Hasan 001 (TIA@MICCAI, 2020)

Intelligent Human Counting through Environmental Sensing in Closed Indoor Settings. - Uday Kamal; Shamir Ahmed; Tarik Reza Toha; Nafisa Islam; A. B. M. Alim Al Islam (Mob. Networks Appl., 2020)

Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint. - Uday Kamal; Thamidul Islam Tonmoy; Sowmitra Das; Md. Kamrul Hasan 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification. - Uday Kamal; Mohammad Zunaed; Nusrat Binta Nizam; Taufiq Hasan (CoRR, 2021)

RemNet: remnant convolutional neural network for camera model identification. - Abdul Muntakim Rafi; Thamidul Islam Tonmoy; Uday Kamal; Q. M. Jonathan Wu; Md. Kamrul Hasan 001 (Neural Comput. Appl., 2021)

Long-Range Low-Cost Networking for Real-Time Monitoring of Rail Tracks in Developing Countries. - Saiful Islam Salim; Uday Kamal; Adnan Quaium; Mainul Hossain; Masfiqur Rahaman; Md. Nazmul Hasan Sakib; Md Toki Tahmid; A. B. M. Alim Al Islam (ICTD, 2022)

LC-Net: Localized Counting Network for Extremely Dense Crowds. - Tarik Reza Toha; Najla Abdulrahman Al-Nabhan; Saiful Islam Salim; Masfiqur Rahaman; Uday Kamal; A. B. M. Alim Al Islam (Appl. Soft Comput., 2022)

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Keyvan Farahani; Justin S. Kirby; Anastasia Oikonomou; Amir Asif; Leonard Wee; Andre Dekker; Xin Wu; Mohammad Ariful Haque; Shahruk Hossain; et al. (CoRR, 2022)

An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators. - Payman Behnam; Uday Kamal; Saibal Mukhopadhyay (CoRR, 2022)

A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis. - Partho Ghosh; Md. Abrar Istiak; Mir Sayeed Mohammad; Swapnil Saha; Uday Kamal (CoRR, 2022)

Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-Rays. - Uday Kamal; Mohammad Zunaed; Nusrat Binta Nizam; Taufiq Hasan (IEEE J. Biomed. Health Informatics, 2022)

DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions. - Sabbir Ahmed; Uday Kamal; Md. Kamrul Hasan 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. - Biswadeep Chakraborty; Uday Kamal; Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (DATE, 2023)

A Sequence Agnostic Multimodal Pre-Processing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis. - Partho Ghosh; Md. Abrar Istiak; Mir Sayeed Mohammad; Swapnil Saha; Uday Kamal (ICASSP Workshops, 2023)

Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. - Uday Kamal; Saurabh Dash; Saibal Mukhopadhyay (ICLR, 2023)

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. - Sudarshan Sharma; Uday Kamal; Jianming Tong; Tushar Krishna; Saibal Mukhopadhyay (SENSORS, 2023)

Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing. - Masfiqur Rahaman; Md. Nazmul Hasan Sakib; Nafisa Islam; Saiful Islam Salim; Uday Kamal; Raihan Rasheed; A. B. M. Alim Al Islam (MobiQuitous (1), 2023)

Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives. - Nael Mizanur Rahman; Uday Kamal; Manish Nagaraj; Shaunak Roy; Saibal Mukhopadhyay (DATE, 2024)

Efficient Learning of Event-Based Dense Representation Using Hierarchical Memories with Adaptive Update. - Uday Kamal; Saibal Mukhopadhyay (ECCV (82), 2024)

Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators. - Payman Behnam; Uday Kamal; Ali Shafiee; Alexey Tumanov; Saibal Mukhopadhyay (IPDPS, 2024)

Passive Lightweight On-chip Sensors for Power Side Channel Attack Detection. - Nael Mizanur Rahman; Uday Kamal; Venkata Chaitanya Krishna Chekuri; Arvind Singh; Saibal Mukhopadhyay (ISCAS, 2024)

Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision. - Minah Lee; Uday Kamal; Saibal Mukhopadhyay (L4DC, 2025)

∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS. - Payman Behnam; Uday Kamal; Sanjana Vijay Ganesh; Zhaoyi Li; Michael Jurado; Alind Khare; Igor Fedorov; Gaowen Liu; Alexey Tumanov (Trans. Mach. Learn. Res., 2025)

Adaptive-Cloud: Dynamic Computation Control for 3D Object Detection From LIDAR Point Clouds. - Mir Sayeed Mohammad; Uday Kamal; Saibal Mukhopadhyay (IEEE Robotics Autom. Lett., 2025)