Under Review Papers
1) Shan Ullah, Deok-Hwan Kim, “Driver Drowsiness Detection using Lightweight Sparsely-Fused Multimodal Federated Learning” (IEEE Trans on Intelligent Vehicles)- Under Review
2) KDHAR: An Optimized Ensemble Knowledge-based Distributed Human Activity Recognition System for Smart Home Applications. , Elsevier-Knowledge based systems , Under Review.
Shan Ullah, Deok-Hwan Kim, “Multi-Accent EMG-to-Speech Optimized Transduction with PerFL and MAML adaptations” (IEEE Transactions on Instrumentation and Measurement)- Accepted on 10th May 2024. In Press for Publication.
Shan Ullah,M.Pirahandeh and Deok-Hwan Kim " Self-attention deep ConvLSTM with sparse-learned channel dependencies for wearable sensor-based human activity recognition ", Elsevier, Neurocomputing 571 (2024): 127157
Weblink: https://www.sciencedirect.com/science/article/pii/S0925231223012808
Shan Ullah, Deok-Hwan Kim, “Federated Learning Using Sparse-Adaptive Model Selection for Embedded Edge Computing” IEEE Access 9, 167868-167879, 2021.
Weblink: https://ieeexplore.ieee.org/abstract/document/9656914/
JH Kim, Shan Ullah, Deok-Hwan Kim, “GPU-based embedded edge server configuration and offloading for a neural network service”, The Journal of Supercomputing 77 (8), 8593-8621, 2021.
Weblink: https://link.springer.com/article/10.1007/s11227-021-03623-9
M.Pirahandeh, Shan Ullah, Deok-Hwan Kim, A distributed edge-based scheduling technique with low-latency and high-bandwidth for existing driver profiling algorithms, Electronics 10 (8), 972, 2021.
Weblink: https://www.mdpi.com/2079-9292/10/8/972
Shan Ullah, Deok-Hwan Kim, “ Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data”. Sensors 2020, 20, 5030.
Weblink: https://www.mdpi.com/1424-8220/20/18/5030
Shan Ullah, Deok-Hwan Kim, An Optimized EMG Encoder to minimize soft speech loss for speech to EMG conversions , IEEE Big Comp 17-21 February 2024, Bangkok, Thailand.
Weblink: https://ieeexplore.ieee.org/abstract/document/10488203
Shan Ullah, Deok-Hwan Kim ,Federated Learning convergence on IID features via optimized local model parameters, IEEE Big Comp 2022, Daegu, South Korea
Weblink: https://ieeexplore.ieee.org/abstract/document/9736534/
Sana Javed, Shan Ullah, Deok-Hwan Kim, “Deep Learning Models for Electroglottography and Voice conversion to Text using Transfer Learning”, KINGPC, 2022 [Best paper award]
Weblink: https://www.earticle.net/Article/A412388
Shan Ullah, Deok-Hwan Kim, “A Comparative study on vision-based deep learning algorithms for Face Emotion Recognition using Transfer Learning”, KINGPC 2021.
Shan Ullah, Deok-Hwan Kim, “Federated learning based Image classification using docker container at Jetson embedded boards”, Korea, KINGPC 2021.
Weblink: https://www.earticle.net/Article/A409376
Shan Ullah, Deok-Hwan Kim, “ Benchmarking Jetson Platform for 3D Point-Cloud and HyperSpectral Image Classification ”, IEEE Big Comp 2020, Feb 19-22, Busan, South Korea
Weblink: https://ieeexplore.ieee.org/document/9070378
Shan Ullah, Deok-Hwan Kim, “Driver Drowsiness Detection with optimized pre-processing for eyelid-closure classification using SVM”, IPIU-2020, Feb 5-7, Jeju, South Korea
Shan Ullah, U. Qayyum and A. J. Choudhry, "Time and Memory Efficient 3D Point Cloud Classification," 2019 16th IBCAST – IEEE conference, Islamabad, Pakistan, 2019, pp. 521-525.
Weblink: https://ieeexplore.ieee.org/document/8667269
Shan Ullah, A. J. Choudhry and A. Badshah, "Optimization of bottom-up saliency detection through gram polynomial decimation," 15th IBCAST –IEEE conference,2018 Pakistan.
Weblink: https://ieeexplore.ieee.org/document/8312244
Badshah Amir, Aadil Jaleel Choudhry, and Shan Ullah "Robust feature estimation by non-rigid hierarchical image registration and its application in disparity measurement" 13th International Conference on Quality Control by Artificial Vision. Vol. 10338. Tokyo, Japan, 2017.
Weblink: https://spie.org/Publications/Proceedings/Paper/10.1117/12.2266941
Amir Bashah, Shan Ullah, Danish Shahzad, " Vision based tunnel inspection using non-rigid registration ", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision, Le Creusot , France, 2015. Weblink : http://spie.org/Publications/Proceedings/Paper/10.1117/12.2182932