Focused on GPU sharing, distributed training strategies, and resource optimization for deep learning.

• A Study on Distributed Strategies for Deep Learning Applications in GPU Clusters
  Explored and compared DDP, FSDP, and Parameter Server strategies using ConvNeXt, VGG16, and EfficientNet on CIFAR-10 and MNIST datasets.

• Focused on system security, vulnerability analysis, and secure software practices
• Participated in seminars, paper reviews, and collaborative research projects

Focused on network security, SDN architecture, and real-time attack detection.

• A Reliable System to Detect Security Attacks in a Scalable SDN Architecture
  Designed a controller-independent detection mechanism to identify compromised SDN switches and specify active attacks. Used 1D K-means clustering for efficient switch grouping; tested on Mininet with RYU controller and Wireshark.

Facilitated lab sessions, conducted office hours, and graded assignments in Systems Programming and Object-Oriented Programming.

Courses Taught: Structured Programming, Data Structures, Algorithms, Computer Fundamentals & IT, Data Communications, Computer Networking, Discrete Mathematics, Digital Logic Design, Microprocessors & Micro-controllers, Database Systems.

• Monitored the mentoring activity of the mentors & developed mentorship guidelines
• Organized 'Meet the Mentors' program every semester
• Facilitated regular meetings with the Mentors, Director of Permanent Campus, and respective Chairpersons

• Trained in modern teaching strategies: Pedagogy, Andragogy, and Heutagogy
• Participated in faculty skill development and capacity-building workshops
• Engaged in collaborative teaching enhancement activities

• Applied different strategies in Cyber Kill Chain Model and MITRE ATT&CK Model to defend systems under attack
• Performed vulnerability analysis on different compromised systems using open source tools like Nmap, Metasploit, Wireshark, Nessus etc.

Guiding AI/ML enthusiasts in research, career growth, and community building across Bangladesh's tech ecosystem.