Hong Yu, Ph.D., Electronics Engineering Technology, Industrial Technology | Fitchburg State University
Skip to main content

Fitchburg State uses technology to gather information and better understand visitors’ experiences. By continuing to use this website, you consent to this usage in accordance with our Privacy Policy.

Faculty Directory » Hong Yu

Industrial Technology

Office Hours:

Semester: Spring 2020
Tuesday and Thursday 9:30am – 10:30am
Wednesday 11:00am – 12:00pm

Office Information:

Room Number: Conlon Hall 211
Phone: 978.665.3585
Email: hyu2@fitchburgstate.edu

Courses Taught:

Electric Systems & Circuits (ITEC 1000)
Electronics I (ITEC 1100)
Electronics II (ITEC 2100)
Digital Electronics (ITEC 3110)
Control Theory (ITEC 3120)
Micro-Based Control Systems (ITEC 4120)


Ph.D., The Catholic University of America

Research Interests:

Multiple access protocol for WATM network
Embedded system design, FPGA and VLSIC design
Big data analysis for Earthquake
Unsupervised deep learning for Artificial intelligence (AI)
Natural Intelligence (NI) operated effortlessly at a Minimum Free Energy

Representative Publications:

Arozullah, M. & Yu, H. (2011). “A Multiple Access Protocol for Multimedia Transmission over Wireless ATM Network.” International Journal of Modern Engineering (IJME), 11, pp. 77-85. doi: 10.5121/ijcnc.2011.3208

Cao, M. et al. “The advance sensor applied to dust-charged detection.” 2013 IEEE international Conference of Electron Devices and Solid-State Circuits (EDSSC), IEEE Xplore. doi: 10.1109/EDSSC.2013.6628171

Cao, M. et al. (2015). “Implement an Advanced Soft Measurement Method of Mine Dust Concentration Based on K-RBF Neural Network.“ International Journal of Engineering and Technology, 7(2), pp. 772-780.

Cao, M. et al. (2012). “A New Phase Difference Measurement Method and Its Implementation Based on FPGA.” Sensor Letters, 10, pp. 1270-1275. doi: 10.1166/sl.2012.2291

Cha, J.H. et al. (2017). “Theory of Glial cells & Neurons emulating Biological Neural Networks (BNN) for Natural Intelligence (NI) operated effortlessly at a Minimum Free Energy (MFE).” MOJ Applied Bionics and Biomechanics, 1(1), pp. 1-26. doi: 10.15406/mojabb.2017.01.00002

Yu, H. (2014). “Study of Automated CMOS Cell Design Simulation and Production.” Journal of Mitteilungen Klosterneuburg, 64(2), pp. 265-269.

Professional Affiliations:

IEEE - Institute of Electrical and Electronics Engineers (Senior Member, Robot Challenge judge)
ASEE - American Society for Engineering Education (Member)
AES - Aerospace & Electronics Systems chapter of IEEE Baltimore section (Chair)