Masters Research Topics Availability

Faculty Advisor	Topics	Recommendations
Dr. Ali Ahmadinia	Embedded Systems and Internet of Things (IoT) Edge AI Cybersecurity Low Power IoT	Solid programming skills. Motivation to learn new topics in IoT, Machine Learning, and Cybersecurity
Dr. Simon Fan	Multi-Agent Systems and Machine Learning Deep learning in video recognition. Software Engineering Service-oriented architecture. Micro-architecture.	Knowledge of Python. Knowledge of Java. Must plan to work on project for two semesters.
Dr. Ahmad Hadaegh	DBMS and Data Mining All aspects of Database Management Systems and Data Mining. Interdisciplinary work with biology to predict the genes using data mining techniques. Interdisciplinary work with chemistry to predict drugs for diseases such as HIV, Alzheimer's, breast cancer, etc.	Knowledge of data structures, algorithms, and statistics. Recommended: a course in Bioinformatics. Recommended: BIOL_210 (Introduction to Cellular and Molecular Biology) and CS_443 (Database Management Systems). Required: CS_512 (with a grade of "C" or higher or consent of the instructor).
Dr. Jing Hou	Network Economics, Cybersecurity, Wireless Networks Game theory in network economics Quantitative risk analytics for decision making and cybersecurity supply chain Resource allocation and performance optimization in wireless networks	Motivation to learn new topics in cybersecurity and network economics Willingness to do interdisciplinary research between wireless networks, economics, and operations management Solid math background is preferred
Dr. Asif Imran	Research in green software engineering, software sustainability, provenance based software security Refactoring software code smells for improved resource usage and improvement of energy usage Analysis of provenance from large scale distributed software to identify security threats	Proficiency in Python and Java programming language are desired
Dr. Yuanyuan Jiang	Virtual Reality (VR), Human Computer Interaction (HCI), Multi-disciplinary Collaboration Develop VR solutions using tools like motion tracking solution, game engine, and head mounted displays. Design experiment and run user studies to find out how users interact with VR solutions. Apply VR technology to solving multi-disciplinary problems.	Solid programming skills are recommended. Recommended pre/co-requisites: Game Programming or VR-related classes. Knowledge of Unity3D development. Interests in game programming, VR, and HCI-related topics. Ample time left (more than two semesters) in your program to complete training and the project.
Dr. Yanyan Li	Research in Mobile Security, IoT, and Cloud Security Human behavior-based authentication. Network anomaly detction in Cloud and IoT. Machine learning in cybersecurity. Motion destion under ubiquitous WiFi.	Knowledge of data analysis skills is recommended. Motivation to learn new topics in cybersecurity.
Dr. Nahid Majd	Computer Networks, Blockchain, and Machine Learning Computer Networks. Machine learning, Deep learning. Blockchain, Cryptography, and Cryptocurrency. Network security. Internet of Things.	Knowledge in Maching Learning and/or Deep Learning.
Dr. Justin Morris	Brain-Inspired Hyperdimensional Computing Low Powered Machine Learning Emerging Computing Technologies	Required: Knowledge of Python Recommended: Knowledge in Maching Learning and/or Deep Learning Recommended: CS_531 (Advanced Computer Architectures)
Dr. Youwen Ouyang	Mobil computing Develop web-based applications that support interactive science learning experiences for K-12 students (preferably middle school). Explore project options in map-based applications and possibly smart phone applications (iPhone or Android).	Demonstrated strong programming experience in one object-oriented programming language.
Dr. Muhammad Lutfor Rahman	Research in human factors in security, brain-computer interface, and usable security Understanding security programs (e.g. phishing, warning, password, access control), utilizing behavioral and neural measures. Cybersecurity in brain-computer interface. Usable security and privacy.	Knowledge of programming. Data processing and analysis skills. Willingness to do interdisciplinary research between cybersecurity, neuroscience, and psychology.
Dr. Shaun-Inn Wu	Non-symbolic Artificial Intelligence Artificial neural networks, genetic algorithms/programming, and data mining. Web and mobile programming and applications.	Recommended: CS_573 or CS_575. Knowledge of data structures and statistics. Motivattion to learn new topics in soft computing.
Dr. Rika Yoshii	Intelligent/Adaptive Tutoring Systems Development of authoring systems for developing tutoring systems. Development of tutoring systems based on mental models for math, programming, and language learning. Development of tutoring and assisting systems for Asperger's, using machine learning.	Requires extensive experience with web page programming and MYSQL. Able to write machine learning programs. Required pre-requisites: CS_571 and/or CS_577 (with a grade of "B" or higher).
Dr. Xiaoyu Zhang	Research in bioinformatics and data science Develop and apply algorithms and machine learning models to analyze and understand biological data. Develop deep learning models to comprehend various dimensional data (1D sequences, 2D images, and 3D volumes).	Required knowledge of Python programming, algorithms, and statistics. Motivation to learn new topics. Knowledge of machine learning and deep learning. Recommended: CS_614 (Bioinformatics Algorithms).
Dr. Yongjie Zheng	Research in Software Engineering, Software Architectures, Architecture-Centric Development Development of architecture-centric toolset (e.g. architectural modeling tool, code generator, and annotation processor) in the Eclipse environment to manage differences between the products of a software product family. Implementation techniques used: ANTLR, Eclipse Plug-ins, Code Generation, Java Annotations. Dynamically modify a running software system's behavior without having to stop its executions. In this project, we develop an architecture-based approach to modifying running implementation of a software system.	Recommended proficiency in Java Programming and Eclipse Plug-ins.