Ashique KhudaBukhsh Headshot

Ashique KhudaBukhsh

Assistant Professor

Department of Software Engineering
Golisano College of Computing and Information Sciences

Ashique KhudaBukhsh

Assistant Professor

Department of Software Engineering
Golisano College of Computing and Information Sciences


Areas of Expertise

Currently Teaching

DSCI-601
3 Credits
This is the first of a two course applied data science seminar series. Students will be introduced to the data science masters program along with potential projects which they will develop over the course of this series in con-junction with the applied data science directed studies. Students will select a project along with an advisor and sponsor, develop a written proposal for their work, and investigate and write a related work survey to refine this proposal with their findings. Students will begin preliminary design and implementation of their project. Work will be presented in class for peer review with an emphasis on developing data science communication skills. This course will keep students up to date with the broad range of data science applications.
DSCI-602
3 Credits
This is the second of a three course applied data science seminar series. Students will design an implementation plan and preliminary documentation for their selected applied data science project, along with an in class presentation of this work. At the end of the semester students will present preliminary demos of their project and write a preliminary project report. Writing and presentations will be peer reviewed to further enhance data science communication skills. This course will keep students up to date with the broad range of data science applications.
DSCI-789
1 - 3 Credits
This course will cover advanced specialized topics data science. Such topics are may be emerging and advanced. Specific prerequisites will be noted for each specific special topic.
DSCI-790
1 - 3 Credits
This course provides the graduate student an opportunity to explore an aspect of data science independently and in depth, under the direction of an advisor. The student selects a topic and then works with a faculty member to describe the value of the work and the deliverables.
SWEN-799
3 - 6 Credits
This course provides the graduate student an opportunity to explore an aspect of software engineering in depth, under the direction of an adviser. The student selects a topic, conducts background research, develops the system, analyses results, and disseminates the project work. The report explains the topic/problem, the student's approach and the results. (Completion of 9 semester hours is needed for enrollment)

In the News

  • October 31, 2023

    Ashique and Sujan sit at table in research lab pointing at laptop.

    AI Research Team at RIT Publish Findings on Generative Harmful Content

    In a recent preprint paper, faculty and Ph.D. students in RIT’s  ESL Global Cybersecurity Institute, identified issues surrounding generative hate speech in Google’s PaLM2 Large Language Model (LLM), which powers Bard, Google’s answer to ChatGPT. Google was informed about the toxic content generated by PaLM2, and thanks to their responsible approach, have since rectified issues identified by the team in their initial study.