Naveen Sharma Headshot

Naveen Sharma

Department Chair
Department of Software Engineering
Golisano College of Computing and Information Sciences

Naveen Sharma

Department Chair
Department of Software Engineering
Golisano College of Computing and Information Sciences

Education

MS, Indian Institutes of Science (India); Ph.D., Kent State University

Currently Teaching

SWEN-711
3 Credits
This course introduces beginning graduate students to key concepts and techniques underlying the engineering of self-adaptive and autonomic software systems. Such software systems are capable of self-management, self-healing, self-tuning, self-configuration and self-protection. The course content includes an introduction of self-adaptive software systems and defines their characteristics. This will be followed by foundational engineering principles and methodology for achieving self-adaptive systems – feedback control, modeling, machine learning, and systems concepts. Selected seminal research paper reading and a term-long project will also be covered in the class.
SWEN-790
6 Credits
This course provides the student with an opportunity to execute a thesis project, analyze and document the project in thesis document form. An in-depth study of a software engineering topic will be research focused, having built upon the thesis proposal developed prior to this course. The student is advised by their primary faculty adviser and committee. The thesis and thesis defense is presented for approval by the thesis adviser and committee.
SWEN-599
1 - 3 Credits
The student will work independently under the supervision of a faculty adviser on a topic not covered in other courses (proposal signed by a faculty member)

Latest News

  • August 2, 2018

    A man stands on stage and talks to a group of people. Attached to the edge of the stage is a banner that reads "Second International Workshop on Urban Data Science." There are also several flower arrangements scattered across the stage.

    RIT brings together ‘smart city’ experts for workshop

    As part of RIT’s Urban Data Science initiative, 100 researchers and practitioners from around the world came together to discuss the future of smart cities at the International Workshop on Urban Data Science in Bangkok.