Hong Yu
ASSISTANT PROFESSOR
Engineering Technology
School of Health and Natural Sciences
hyu2@fitchburgstate.edu
978.665.3585
Office: Conlon Hall 211
Office Hours
Spring 2021
Monday and Wednesday 11:00AM - 12:15PM
Thursday 11:00AM – 12:15PM
Courses Taught
CSC 3560 Mobile Application Development
ENGT 1000 Electrical Systems & Circuits
ENGT 2050 Electronics I
ENGT 2055 Electronics II
ENGT 3015 Digital Electronics
ENGT 3016 Advanced Digital Electronics
ENGT 3900 Device Interface Design
ENGT 4050 Microprocessor & Microcontroller Embedded System
ENGT 4100 Control Theory
Background
- Ph.D., The Catholic University of America
- 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
- Yu, H, (2021) “A Developed Sensor for Color Identification, Sorting and Counting Automation Control System” EJERS, European Journal of Engineering and Technology Research Vol. 6, No. 2, pp75-80, February 2021
- Yu, H. et al. (2020) “Cross-platform for the development environment of smart home system” 2020 IEEE 11th Annual Ubiquitous Computing, Electronics &Mobile Communication Conference, IEEE Xplore, ISBN: 978-1-7281-9656-5, pp.567-570, October, 2020
- Yu, H. et al. (2020) “Study of Heating Device for Sulfur Hexafluoride Gasification” Sensor Letter, 18(2), 157–163, February,2019doi: 10.1166/sl.2020.4201
- Yu, H et al. (2019) “Smartphones, Grounds, Satellites, UAVs for Earthquake Nowcast", 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, IEEE Xplore, ISBN: 978-1-7281-0554-3 pp. 0361-0365
- 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. 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.
- Yu, H. et al, (2014), “Study of Automated CMOS Cell Design Simulation and Production”, Journal of Mitteilungen Klosterneubury, ISSN: 0007-5922, Vol 64, pp 265-269
- Cao, M. et al. (2013), “ 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. (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
- Yu, H. et al. (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
- IEEE - Institute of Electrical and Electronics Engineers (Senior Member)
- ROBOT – IEEE Worcester County section (Vice Chairperson)
- AESS – IEEE Baltimore Section (Vice Chairperson)
- FIRST LEGO League – Judge
- Robot Challenge – Judge of IEEE Baltimore Section