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Dr. Melchizedek Alipio

Associate Professor

Educational Background

Ph.D. in Electrical and Electronics Engineering,
University of the Philippines Diliman

M.Eng in Electronics Engineering,
Mapua University (formerly Mapua Institute of Technology)

B.Sc. in Electronics and Communications Engineering,
Colegio de San Juan de Letran Calamba

Melchizedek Alipio received his PhD in Electrical and Electronics Engineering at the University of the Philippines Diliman in 2018. He  is currently an associate professor of the Department of Electronics and Computer Engineering since 2019. He was a postdoctoral research fellow at the Systems Testing Intelligent Laboratory of the Faculty of Electrical Engineering at the Czech Technical University in Prague from 2023 to 2024. He received the best paper awards from the 2017 IEEE Global Conference in Consumer Electronics (GCCE2017), 2022 37th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), and 2023 IEEE World AI IoT Congress (AIIoT) Best Paper Award – Computer Vision and Speech Understanding Category. 

Research Interest

  • Wireless Sensor Networks
  • Internet of Things
  • Applied AI/ML
  • Software-Defined Networking

Selected Publications

  • RT-CaCC: A Reliable Transport with Cache-Aware Congestion Control Protocol in Wireless Sensor Networks, In IEEE Transactions on Wireless Communications, Volume 17, Issue No. 7, Pages 4607-4619, 2018, ISSN: 1536-1276.
  • A Smart Hydroponics Farming System using Exact Inference in Bayesian network, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), Nagoya, October 2017, Pages 1-5, ISBN: 978-1-5090-4045-2.
  • Intelligent Network Maintenance Modeling for Fixed Broadband Networks in Sustainable Smart Homes, IEEE Internet of Things Journal, 2023, ISSN: 2327-4662.
  • Cache-based transport protocols in wireless sensor networks: A survey and future directions, In Journal of Network and Computer Applications, Volume 88, 2017, Pages 29-49, ISSN: 1084-8045.
  • More Accurate Cost Estimation for Internet of Things Projects by Adaptation of Use Case Points Methodology, IEEE Internet of Things Journal, 2023, ISSN: 2327-4662.

 

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