Accepted and Published Papers |
2026 |
FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning
K. Khalil, K. A. Hoque
IEEE HOST 2026. Accepted. |
RIFT: A Scalable Methodology for LLM Accelerator Fault Assessment using Reinforcement Learning
K. Khalil, K. A. Hoque
DATE 2026. Accepted. |
2025 |
TOGGLE: Temporal Logic-Guided Large Language Model Compression for Edge
K. Khalil, K. A. Hoque
IEEE/ACM ICCAD 2025. doi |
PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models
R. K. Kundu, K. Khalil, K. A. Hoque
IEEE Access, 2025. doi |
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
K. Khalil, K. A. Hoque
IJCNN 2025. doi |
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
A. Siddique, K. Khalil, K. A. Hoque
IJCNN 2025. arXiv |
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
A. Siddique, K. Khalil, K. A. Hoque
ISQED 2025. doi |
2022 and Earlier |
EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
N. E. Mughal, M. J. Khan, K. Khalil, et al.
Frontiers in Neurorobotics, 2022. |
Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain-computer interface
K. Khalil, U. Asgher, Y. Ayaz
Scientific Reports, 2022. |
Motor training using mental workload with an assistive soft exoskeleton system: an fNIRS study for brain-machine interface
U. Asgher, M. J. Khan, M. H. Nizami, K. Khalil, et al.
Frontiers in Neurorobotics, 2021. |
Enhanced Accuracy for Multiclass Mental Workload Detection Using Long Short-Term Memory for Brain-Computer Interface
U. Asgher, K. Khalil, M. J. Khan, et al.
Frontiers in Neuroscience, 2020. |
Workshop Papers |
The Singular Anchor: First Token Dominance in Large Language Model Attention Sinks
K. Khalil
5th Muslims in ML Workshop at NeurIPS 2025. Accepted. |