PhD Candidate in Computer Science
Research Interests: Human-Data Interaction and Human-Centered AI
Research Lab@Institution: Accessible Computing Lab @ Old Dominion University
Advisor: Dr. Vikas G Ashok
Contact: yprak001@odu.edu | 757-994-3873
PhD Candidate in Computer Science
Research Interests: Human-Data Interaction and Human-Centered AI
Research Lab@Institution: Accessible Computing Lab @ Old Dominion University
Advisor: Dr. Vikas G Ashok
Contact: yprak001@odu.edu | 757-994-3873
Instructor. Dr. Morris
Title: Data Structures and Algorithms
Credit Hours: 3
Start Date: 08/24/2024
END Date: 12/06/2024
Description: This course covers the following topics: (i) Basic introduction to algorithms, their design and analysis (ii) Asymptotic notation (iii) Recurrence Relations and their solutions (iv) Sorting and Order Statistics: various algorithms for sorting and their analysis, lower bounds for sorting, computing medians, modes and various order statistics (v) Paradigms for algorithm design and analysis: Dynamic Programming, Greedy Method, Amortized Analysis, and (vi) Graphs and Elementary Graph Algorithms: Breadth-first and Depth-first Search, Topological Sort, Minimum Spanning Trees and Shortest Paths Algorithms
Instructor: Dr. Sun
Title: Machine Learning
Credit Hours: 3
Start Date: 08/24/2024
END Date: 12/06/2024
Description: This course presents both the foundational and the practical aspects of modeling, analyzing, and mining of computerized data sets, including classification, regression, clustering, semi-supervised learning, structured sparsity learning, etc. The course assignments are designed to contain both theoretical and programming components in order to train students to gain hands-on-experience.
Instructor: Dr. Yaohang Li
Title: Introduction to AI
Credit Hours: 3
Start Date: 08/24/2024
END Date: 12/06/2024
Description: Laboratory work required. Introduction to concepts, principles, challenges, and research in major areas of AI. Areas of discussion include: natural language and vision processing, machine learning, machine logic and reasoning, robotics, expert and mundane systems.
Instructor: Dr. Vikas
Title: Data Structures and Algorithms
Credit Hours: 3
Start Date: 08/24/2024
END Date: 12/06/2024
Description: Natural language processing (NLP) techniques are the crux of many leading modern technologies. Advances in NLP are also critical in the pursuit of Artificial Intelligence. This course will discuss core problems in NLP and the state-of-the-art tools and techniques as well as advanced NLP research topics. The topics will include language models, part-of-speech tagging, syntactic parsing, word embedding, statistical machine translation, text summarization, question answering, and dialog interaction. At the end of the course, students will be familiar with many language-processing tasks and applications.
