Mathematics, Computer Science and Statistics
Bill holds the Ph.D. in Electrical and Computer Engineering from Drexel University since 2018, the M.Sc. in Science of Instruction at the Drexel School of Education since 2008, the M.Sc. in Computer Science since 2008, and the B.Sc. in Computer Science since 2005. His research interests include machine learning of passive RF wearable systems for biomedical classification, service-oriented architectures, and program comprehension through software engineering. Bill is enthusiastically active in computer science education and engineering education outreach: he holds a teaching certification in Pennsylvania for Grades 7-12 Mathematics and Grades 7-12 Computer Science, has taught, volunteered, developed experiential curriculum connected to STEM research projects, and served as mentor and judge at hackathon events with students in grades 5 through 12. He has served on school board and county STEM, educational technology, and grant-writing committees, as well as in an educational consulting role with County Intermediate Units and State Departments of Education.
Bill was appointed as Teaching Professor (2008-2019) and Associate Department Head for Undergraduate Affairs (2014-15 through 2019) of Computer Science in the College of Computing and Informatics, teaching the systems track and the new architecture track courses for the Department of Computer Science, including Operating Systems, Concurrent Programming, and Systems Architecture. Here, he blended his research and experiential education interests by fusing undergraduate as well as graduate education with classroom and extracurricular research initiatives. In these roles, he was a recipient of the 2014 College of Computing and Informatics Award for Teaching Excellence and the 2019 College of Computing and Informatics Award for Faculty Leadership.
Bill joined the faculty of the Math and Computer Science Department at Ursinus College as an Assistant Professor (visiting) in Fall, 2020, and was elevated to Associate Professor in Fall, 2022. At Ursinus, he is the Founder and Principal Investigator of the Human-Machine Intelligent Systems Lab (https://www.hmislab.org), and the host of the Digital Signature Podcast (https://www.digitalsignature.fm).
He is a Senior Member of the Association for Computing Machinery (ACM) and of the Institute of Electrical and Electronics Engineers (IEEE). He is also an instrument rated private pilot and a radio amateur (callsign W1CLK).
PhD, Electrical and Computer Engineering, Drexel University
MS, Computer Science, Drexel University
MS, Science of Instruction, School of Education, Drexel University
BS, Computer Science, Drexel University
Introduction to Computer Science
Web and Mobile App Development
Data Structures and Algorithms
Advanced Programming Tools and Techniques
Programming Language Concepts
Programming for the World Around Us
RF Biomedical Smart Garment Devices
Computer Science Education
Paul, Ankita, Md. A.S. Tajin, Anup Das, William M. Mongan, and Kapil R. Dandekar. 2022. Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. Electronics 11, no. 5: 682.
Robert Ross, William M. Mongan, Patrick O-Neill, Ilhaan Rasheed, Adam Fontecchio, Genevieve Dion, and Kapil R. Dandekar. An Adaptively Parameterized Algorithm Estimating Respiratory Rate from a Passive Wearable RFID Smart Garment. IEEE Symposium on Mobile, Wearable and Ubiquitous Computing at COMPSAC 2021, July, 2021.
Md Abu Saleh Tajin, Marko Jacovic, Genevieve Dion, William M. Mongan, and Kapil R. Dandekar. UHF RFID Channel Emulation Testbed for Wireless IoT Systems. IEEE Access Journal, May 2021.
Md Abu Saleh Tajin, Marko Jacovic, Xaime Rivas Rey, William M. Mongan, and Kapil R. Dandekar. Channel Emulation for the Characterization of Wearable RFID Antennas. 21st Annual IEEE Wireless and Microwave Technology Conference (WAMICON 2020-2021), April, 2021.
Chelsea Amanatides, Stephen Hansen, Ariana S. Levitt, Yuqiao Liu, Patrick O-Neill, Damiano Patron, Robert Ross, Daniel Schwartz, Jesse Stover, Md Abu Saleh Tajin, Genevieve Dion, Adam K. Fontecchio, Vasil Pano, William M. Mongan, and Kapil R. Dandekar. Wearable Smart Garment Devices for Passive Biomedical Monitoring. Signal Processing in Medicine and Biology. Iyad Obeid, Ivan Selesnick, and Joseph Picone, eds, Springer: January, 2021.
Md Abu Saleh Tajin, William M. Mongan, and Kapil R. Dandekar. Passive RFID-based Diaper Moisture Sensor. IEEE Sensors Journal, October 2020.
Stephen Hansen, Daniel Schwartz, Jesse Stover, Md Abu Saleh Tajin, William M. Mongan, and Kapil R. Dandekar. Fusion Learning on Multiple-Tag RFID Measurements for Respiratory Rate Monitoring. IEEE International Conference on Bioinformatics and Biomedical Engineering (BIBE), October, 2020.
Patrick O’Neill, William M. Mongan, Robert Ross, Sayandeep Acharya, Adam K. Fontecchio, and Kapil R. Dandekar. An Adaptive Search Algorithm for Detecting Respiratory Artifacts Using a Wireless Passive Wearable Device. IEEE Signal Processing in Medicine and Biology (SPMB), December, 2019.
Austin Gentry, William M. Mongan, Brent Lee, Owen Montgomery, and Kapil Dandekar. Activity Segmentation Using Wearable Sensors for DVT/PE Risk Detection. The First IEEE International Workshop on Integrated Smart Healthcare (WISH 2019) at IEEE COMPSAC, July, 2019.
Sayandeep Acharya, William M. Mongan, Ilhaan Rasheed, Yuqiao Liu, Endla Anday, Genevieve Dion, Adam Fontecchio, Timothy Kurzweg, and Kapil R. Dandekar. Ensemble Learning Approach via Kalman Filtering for a Passive Wearable Respiratory Monitor. IEEE Transactions of Biomedical and Health Informatics, May 2019.
William M. Mongan, Robert Ross, Ilhaan Rasheed, Yuqiao Liu, Khyati Ved, Endla Anday, Kapil Dandekar, Genevieve Dion, Timothy Kurzweg, and Adam Fontecchio. Data Fusion of Single-Tag RFID Measurements for Respiratory Rate Monitoring. IEEE Signal Processing in Medicine and Biology (SPMB), December, 2017.
Shrenik A. Vora, William M. Mongan, Endla K. Anday, Kapil R. Dandekar, Genevieve Dion, Adam K. Fontecchio, and Timothy P. Kurzweg. On Implementing an Unconventional Infant Vital Signs Monitor with Passive RFID Tags. IEEE International Conference on RFID, May, 2017.
William Mongan, Ilhaan Rasheed, Khyati Ved, Shrenik Vora, Kapil Dandekar, Genevieve Dion, Timothy Kurzweg, and Adam Fontecchio. On the Use of Radio Frequency Identification for Continuous Biomedical Monitoring. ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), April, 2017.