Dr. Jaydip Desai integrates his research on biomedical robotics, neural signal processing, mind-machine interface, prosthetics and orthotics into his graduate and undergraduate level courses. He has designed a BME 722 Introduction to Biorobotics course to provide hands on learning experience on human-machine interface, robotics, sensing, signal processing, and microcontroller programming. Dr. Desai also teaches and improves BME 335 Biomedical Computer Applications course, which offers hands on learning experience using LabVIEW, Matlab, and SolidWorks to undergraduate students in College of Engineering. Dr. Desai's research integration into class projects helped students to publish/present papers at National/International level conferences such as IEEE EMBC, NEBEC, RMBS, IEEE Regional Conferences, and BMES. Dr. Desai is currently designing an experimental multidisciplinary course on Brain-Computer Interfaces (BME 760A) that will cover principles of neuro-engineering, neuro-science and neuro-robotics systems. This course will be offered from Spring 2020. These courses also increase undergraduate and graduate student participation into research.
BME 760A Brain-Computer Interfaces (3 Credit Hrs)
SP 2020
This course will cover theoretical and experimental knowledge on neuro-engineering, neuro-science, and neuro-robotics systems currently being utilized for Brain-Computer Interface (BCI) technology. This course will provide hands on learning experience using innovative hardware and software tools to acquire, process, and analyze human brain signals, and integrate robotics technology with current BCI models for real-time control of virtual environment and assistive/robotic devices. Upon successful completion of this course, students will be able to gain knowledge to perform BCI experiments in offline and online modes, understand signal processing and machine learning techniques to extract features, and design BCI-based human-machine interaction models for various assistive and/or rehabilitative technology. Prerequisites: BME 722 or Instructor’s Consent.
BME 722 Introduction to Biorobotics (3 Credit Hrs)
Offered: FA 2017, FA 2018, FA 2019
Biorobotics is a new technological area in biomedical engineering, combines human anatomy and physiology, electronics, mechanics and robotics technology using computer programming, and it is currently being investigated in prosthetic, surgical and therapeutic devices. This course includes robotic principles, theories and control strategies used to manipulate various robotics devices through human physiological signals in real time. Course will cover topics on robotics in bme, prosthetics, biosignal processing, microcontroller programming, human sense of touch and virtual world communication. Fundamental knowledge of bioinstrumentation, rehabilitation, robotics and signal processing will be demonstrated in laboratory to create human-machine-computer interface. Student will gain hands on experience with sensors, microcontrollers, actuators, haptic controllers, robotic arm, prosthetic hand and various Matlab/Simulink toolboxes in order to implement biorobotics algorithms into 3D simulation and stationary/automobile robotic devices.
BME 335 Biomedical Computer Applications (3 Credit Hrs)
Offered: SP 2018, FA 2018, SP 2019, FA 2019
This course introduces students to software packages and applications applicable to the biomedical engineering curriculum and discipline. Course content includes three-dimensional graphical computer aided design software (e.g., Solidworks), mathematical programming software and applications (e.g., MATLAB), and data acquisition and analysis software (e.g., LabVIEW).