Sudhir Shrestha

Office

About

Dr. Shrestha is a tenured Professor in the Department of Engineering and Computer Science. His research spans biomedical sensing, intelligent robotics, and embedded AI systems. He holds seven patents and has more than 35 publications. He is the founder and director of the Intelligent Systems Lab (w/ hyperlink to sonomaisl.ai) at SSU. He is a Senior Member of the IEEE and has received NSF Smart and Connected Health and CSU Biotech Faculty Research grants. Visit his personal website for a full bio.

Appointments:

• 2017 – Present: Sonoma State University
  • Professor, 2026 – Present
  • Director, 2017 – Present, Intelligent Systems Lab
  • School Chair, 2024, School of Engineering and Computer Science
  • Department Chair, 2022 – 2024, Department of Engineering
  • Associate Professor, 2021 – 2026
  • Assistant Professor, 2017 – 2021
• 2016 – 2017: Miami University, Oxford, OH
  • Visiting Assistant Professor, Department of Electrical and Computer Engineering
• 2011 – 2016: Purdue University in Indianapolis Assistant Research Professor, Department of Electrical and Computer Engineering

Education

Education and Training:

• Postdoctoral Training, Purdue University in Indianapolis, 2009 – 2011
• PhD, Louisiana Tech University, 2009

Selected Publications & Presentations

Recent Publications

• S. Naser, D. A. Roberts, and S. Shrestha, “At-Home Breath Data Collection for Signatures of Type 2 Diabetes: A Pilot Clinical Study,” Biosensors, vol. 15, no. 3, 2025
• K. Duran, R. J. Hernandez, and S. Shrestha, “Deep Reinforcement Learning for a Four Degree of Freedom Robot Arm Accelerated by Human Demonstration,” 2025 3rd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 2025, pp. 537-542.
• O. Piazza and S. Shrestha, “Pre-contextualized Augmented Language Instructions for Autonomous Vision-and-Language Navigation,” 2025 3rd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 2025, pp. 386-390.
• P. Vora and S. Shrestha, “Detecting Diabetic Retinopathy Using Embedded Computer Vision,” Applied Sciences, vol. 10, no. 20, pp. 1-10, Oct 2020.

Full Publicatioin List

Patents:

• A Device to Collect Breath Data from Type-2 Diabetes Patients in Real-Life Situations. US 12,278,013 B2 (Published: April 15, 2025)
• Volatile Organic Compound Sensors, and Methods of Making and Using the Same. US 10107827 B1 (Published: Oct 22, 2018)
• Low Power Wireless Sensor System with Ring Oscillator and Sensors for Use in Monitoring of Physiological Data. US 2015 0295562 A1 (Published: Oct 14, 2015)
• Wearable Microstrip Antennas for Skin Placement for Biomedical Applications. US 9044158 B2 (Published: Jun 1, 2015)
• Paper-Based Lithium-Ion Batteries. US 9548496 B2 (Published: Jan 16, 2017), US 9531010 B2 (Published: Oct 17, 2016), US 9472832 B2
• Layer-by-Layer Assembled Nanoparticles Based Thin Films for Solar Cells and Other Applications. US 9444003 B2 (Published: Sep 12, 2016), UWO 2012 015989 A3 (Published: May 9, 2012)
• Transmission Delay Based RFID Tag. US 8179231 B1 (Published: May 14, 2012), US 8736452 B1 (Published: May 26, 2014 Filed: Mar 12, 2008)

Graduate Research Direction

• Sokiyna Naser, At-Home Breath Profile Data Collection for Type-2 Diabetes, 2024
• Washaka Mahdi, OpenAI-Based ChatBot for SSU Engineering Website, 2024
• Jorge Solorio, Automatic Navigation of Turtlebot3 Using Vision and LiDAR, 2023
• Austin Escalante, Exterior Vehicle Damage Assessment Using Deep Learning, 2023
• Joel Richin, State Tracking System for Legacy Semiconductor Equipment, 2023
• Het Patel, RTOS-Based Breath Data Collection Device with 4G Logging, 2023
• Abhijith Nidanakavi, TruthSeeker: AI-Driven Detection of Fake and Propaganda Texts, 2023
• Scott Parmley, Autonomous Yield Estimator, 2022
• Priya Patel, STM32-Based Breath VOC Sensor System Design, 2022
• Roel Hernandez, Deep RL Robot Arm Control via Human Demonstrations, 2022
• Kirk Durand, Deep RL for 4-DOF Robot Arm Control Simulation, 2021
• Olivia Piazza, NLP for Robotic Navigation Through Unknown Environments, 2020
• Khuram Shehzad, FMCW Radar for Search and Rescue Applications, 2020
• Parshva Vora, Diabetic Retinopathy Detection via Embedded Computer Vision, 2019
• Matthew Boubin, SVM for Blood Glucose Detection via Breath VOCs, 2019
• Yan-Ting Chen, Smart Sensing System for Indoor Air Quality Monitoring, 2018