Quantum Computing
Quantum algorithms, quantum machine learning, and practical development of quantum-enabled computing systems.
PhD Student · Computer Science
Asif Mohammed Saad
Tulane University · Department of Computer Science
I am a PhD student in the Department of Computer Science at Tulane University, working in Dr. Jiyuan Wang's lab. My research interests include quantum computing, quantum software engineering, autonomous systems, trustworthy and safe large language models, and benchmarking and reasoning in language models.
Research Interests
Quantum Software Engineering
Methods, tools, testing practices, and software-engineering principles for reliable quantum applications.
Autonomous Systems
Intelligent perception, decision-making, and dependable software for autonomous and real-time systems.
Trustworthy AI
LLM safety, hallucination detection and mitigation, reliability, and responsible model behavior.
LLM Evaluation
Evaluation design, factual reliability, robustness, and reasoning capabilities and limitations of language models.
Applied Machine Learning
Computer vision, time-series modeling, and machine-learning methods for scientific and real-world data.
Selected Work
Bangla News Article Dataset
A. M. Saad, U. N. Mahi, M. S. Salim, and S. I. Hossain.
Vehicle Detection in Complex Urban Settings
Research on evaluating YOLO architectures for vehicle detection in Bangladesh.
MNIST Image Classification with QNN
A hybrid quantum neural network workflow for handwritten-digit classification using PyTorch and the Classiq SDK.
Teaching
Previously taught courses in artificial intelligence, database management systems, cybersecurity, microprocessors and microcontrollers, and mobile application development.
Learn more about my teaching experience or view my curriculum vitae.