Krittika Goyal Headshot

Krittika Goyal

Assistant Professor

Department of Manufacturing and Mechanical Engineering Technology
College of Engineering Technology
krgmet@rit.edu
Office Location
GOL-1321

Krittika Goyal

Assistant Professor

Department of Manufacturing and Mechanical Engineering Technology
College of Engineering Technology

Bio

Dr. Krittika Goyal holds a Bachelor’s and Master’s degrees in Electronics Instrumentation and Control and a Ph.D. in Microsystems Engineering. Her research deals with improving the signal quality from dry electrodes to overcome the challenges of in-home physiological monitoring devices. It involves understanding several factors such as sensor design, device/human interface, inter and intra-human subject variability to acquire clinically relevant signals for the success of remote monitoring technologies. Her research interests include biomedical instrumentation, bio-mechatronics, sensors and transducers, non-invasive physiological measurements, and their computational modeling.

krgmet@rit.edu
Personal Links
LinkedIn

Select Scholarship

Journal Paper
Goyal, K., D. Shah, and S. W. Day. "Day-to-Day Variability in Measurements of Respiration Using Bioimpedance from a Non-Standard Location." Sensors 24. 14 (2024): 4612. Web.
Shen, D., et al. "Design, Fabrication, and Evaluation of 3D Biopotential Electrodes and Intelligent Garment System for Sports Monitoring." Sensors 24. (2024): 4114. Web.
Todorov, A. R., et al. "Design of a Flexible, Wearable Interdigitated Capacitive Sensor for Monitoring Biomarkers of Atopic Dermatitis." IEEE Sensors Journal. (2023): 1-11. Web.
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Published Conference Proceedings
Todorov, A.R., et al. "Skin Model for Monitoring Atopic Dermatitis Using Interdigitated Capacitive Sensor." Proceedings of the IEEE - EMBC. Ed. doi: 10.1109/EMBC53108.2024.10782789. Orlando, FL, USA: n.p., Web.
Sarah, R., et al. "An effort to Three dimensionally Fabricate Finger Prosthesis Using Hybrid Materials with Integrated Tactile Sensing." Proceedings of the IISE Annual Conference and Expo. Ed. A. Brown Greer, C. Contardo, J.-M. Frayret. Montreal, Canada: n.p., Web.
A., Habib,, et al. "Towards Natural Movement: Integrating Sustainable Materials With Hybrid 3D Printing Techniques and In-House-Developed Smart Sensors." Proceedings of the Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition. Ed. https://doi.org/10.1115/IMECE2024-145563. Portland, Oregon, USA: n.p., Web.
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Book Chapter
Goyal, K. and S.W. Day. "Factors affecting Wearable Electrode Performance and Development of Biomimetic Skin Phantom." In New Advances in Biosensing. London, UK: Intechopen, 2023. 1-18. Web.

Currently Teaching

MCET-520
Measurement Systems & Controls
3 Credits
This course examines modeling, instrumentation, and measurement of electrical, mechanical, fluid, and thermal systems containing elements such as sensors and actuators used in feedback control systems. Analytical and experimental techniques of general importance in systems engineering are presented, including sensor utilization in feedback control. Engineering measurement fundamentals, including digital and frequency domain techniques noise and error analysis are covered. Closed-loop system analysis will include the use of proportional, integral, and derivative elements to control system response. Hands-on projects and laboratories are utilized to reinforce fundamental measurement and control system concepts. Software skills include the use of MATLAB and the graphical programming language, LABVIEW.
RMET-340
Automation Control Systems
2 Credits
This course will provide a thorough understanding of the manufacturing automation principles, practices and system integration. Students will design a fully automated control system from selection of components, specifying the Programmable Logic Controller (PLC), and developing the ladder logic required to operate the system. Students will have the tools to effectively be able to fully design an automated control system as in done in varying industries.

In the News

  • October 31, 2024

    Leila Dal is seated in front of Krittika Goyal in a lab of sensors for prosthetics.

    Student spotlight: Fine tuning a sense of touch

    Fine tuning sensors on prosthetics includes incorporating the sense of touch into a device to be as close to the sensations felt by a natural limb as can be. Leila Daly, a fifth-year computer engineering technology student from Willingboro, N.J., is working on developing a sensor system for a more touch-responsive prosthetic finger.

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