Md Kamruzzaman Sarker
Primary Research Theme: Artificial Intelligence
Primary Research Expertise
- Trustworthiness of Deep Learning Models
- Space Signal Propagation Optimization
Primary Research Projects
- Improving Trustworthiness of Deep Learning Models: Dr. Sarker's research focuses on enhancing the reliability and ethical integrity of deep learning models through meticulous validation techniques and robust interpretability frameworks. By integrating transparency and accountability measures, he aims to foster greater confidence in the deployment of these models across various applications.
- Secure Cyberspace Using Deep Learning: Dr. Sarker's work involves applying deep learning algorithms to improve real-time malware detection, thus contributing to the security and resilience of cyberspace. By leveraging neural networks, his research aims to enhance threat detection capabilities and mitigate cyber threats effectively
Significant Funding Sources
- Pending patent on securing cyberspace through deep learning.
Brief Bios of Students
- Rachel Bonas: A PhD candidate researching to unravel the intricacies of machine learning decisions. Her work aims to bridge the gap between the performance of machine learning algorithms and the need for human understanding.
- James Bible: A PhD candidate working on optimizing signal propagation through space by applying deep learning technologies to identify and remove noise from original signals.
Research Lab Designation: Not Yet Specified