Graduate Student
Muhammad Hanif Lashari (Co-advised with Prof. Ashfaq Khokhar)
Research Interests – Muhammad Hanif Lashari is a Ph.D. student in Computer Engineering at Iowa State University, Ames, Iowa, USA. He is currently a Graduate Research Assistant in the Department of Electrical and Computer Engineering. His research focuses on Machine Learning (ML), Deep Learning (DL), Tactile Internet, and Protocol Design for Tactile Internet applications, particularly in enhancing prediction models for remote robotic surgery. He has worked on Kalman Filters, LSTM, Temporal Convolutional Networks (TCN), and Informer Models to enhance prediction accuracy in Tactile Internet environments, mitigating real-time network-induced delays. Mr. Lashari has published journal and conference papers in his field and continues to contribute actively to research on intelligent prediction models, real-time control, and communication systems in Tactile Internet environments.
Danush Venkateshperuma
Research Interests – I am deeply passionate about exploring the intersections of Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) to develop innovative solutions that drive technological advancements. My research focuses on leveraging large language models (LLMs) to enhance software engineering practices and contribute to the evolution of intelligent systems.
Rahman Abdul Rafi
Research Interest: Advancing machine learning methodologies to drive impactful, real-world solutions.
Samuel Meruga
Research Interest: My research interests include blockchain technology, secure DNS systems, and next-generation networking solutions. I am also keen on exploring network forensics and developing innovative strategies to secure systems against emerging threats, ensuring reliability and transparency in modern networks.
Undergraduate Student
Yehia Osman
Research Interests – I’m Yehia Osman, a Computer Engineering major at Iowa State University with a keen interest in applying machine learning to medical technology. Currently, my research is focused on AI-driven Digital Twin Networks, medical devices, and electrical batteries, aimed at enhancing predictive problem detection and real-time resolution.