I am committed to fostering critical thinking and hands-on engineering skills through a combination of rigorous theory and project-based learning.
Beyond the classroom, I have served as the Major Advisor to 22 graduate students (5 PhD, 17 MS) and mentored over 39 undergraduate researchers. My mentorship philosophy emphasizes research independence and end-to-end system prototyping.
View my Team → Team
Current & Upcoming Courses
EECE 3270: Intro to Microprocessor
Semesters: Spring 2026, Fall 2025
EECE 3201: Circuit Analysis II
Semesters: Fall 2024
Previous Instructor of Record
EEL 4744C: Microcontroller Applications
Semesters: Spring 2024, Spring 2023
Includes Laboratory Component
EEL 5934 / EEL 4930: Biomedical Systems Design
Semesters: Spring 2024, Spring 2023
Graduate & Undergraduate Level
EEL 3112: Circuit Analysis II
Semesters: Fall 2023, Fall 2022
EEE 3308: Microelectronics I
Semesters: Fall 2023, Fall 2022
Previous Teaching Experience
BME/ELE 461/561: Physiological Modelling & Control (Instructor of Record)
University of Rhode Island (Fall 2021)
UE 102: Analog, Digital and Microprocessor (Instructor)
Indian Institute of Science (Spring 2015)
Guest Lectures & Teaching Assistantships:
Neural Engineering (BME/ELE 468/568): Guest Lecturer (URI)
Wearable Internet of Things (ELE 491/591): Mentor/Grader (URI)
Engineering Entrepreneurship (EGR 325): Mentor (URI)
NETI-1 Course Design and Student Engagement (2025): Completed the National Effective Teaching Institute's rigorous workshop on evidence-based engineering education.
New Faculty Academy Certification (2022–2023): Completed a year-long program at UNF focused on active learning strategies and inclusive teaching.
In this course, Dr. Saikia implemented a Project-Based Learning (PBL) curriculum to bridge the gap between theory and practice. Building upon a full semester of rigorous theoretical instruction and hands-on lab exercises, students applied their cumulative knowledge to execute these independent "Mini Projects."
The examples below showcase prototypes conceptualized, coded, and built by sophomore-year undergraduates in a condensed two-week sprint during finals. These artifacts demonstrate the students' ability to synthesize embedded hardware concepts, C/C++ programming, and sensor interfacing under strict time constraints.
Shadow Walker
Rover Follows the Wall
Obstacle Avoidance Rover
Light Following Rover
Remote Controlled Musical Rover