Faculty Profile for Dr. Stan McClellan

profile photo for Dr. Stan McClellan
Dr. Stan McClellan
Professor Emeritus — Ingram School of Engineering
IGRM 2203
phone: (512) 245-1826
Scholarly/Creative Work
Grants
Service

Biography Section

Biography and Education

 Stan McClellan is a Professor in the Ingram School of Engineering at Texas State University, where he teaches various topics in Electrical Engineering and researches advanced communication & networking technologies, including applications in the "Smart Grid" and "Smart City" space. From 2013 to 2018, Dr. McClellan was the Director of the Ingram School.

He has held notable positions in commercial, military/aerospace, and academic venues, including Hewlett Packard, Compaq, ZNYX Networks, and General Dynamics. He was a founder and Chief Technology Officer for a startup company which developed a revolutionary approach to Smart Grid communication.

McClellan is an expert in networking and distributed system optimization, with invited contributions to references including Advances in Computers, The IEEE/CRC Electrical Engineering Handbook, The Encyclopedias of Electrical & Electronics Engineering, and the DoE/SRC Decadal Plan for Semiconductor Technology.

Research Interests

 Computer/Network Architecture & Protocols
Signal/Image Processing & Data Compression
Analog/Digital Communications

Selected Scholarly/Creative Work

  • Thapa, K., McClellan, S. A., & Valles Molina, D. (2022). Supervised Machine Learning in Inter-Level, Ultra-Low Frequency Power Line Communications. International Journal On Advances in Telecommunications, 14(1 & 2), 51:69.
  • McClellan, S. A., & Carvallo, A. E. (2021). Building a 5G Research Network at STAR Park.
  • Lokesh, V., Thapa, K., & McClellan, S. A. (2021). Remote filesystem event notification and processing for distributed systems (pp. 22–26).
  • Thapa, K., McClellan, S. A., & Valles Molina, D. (2021). Supervised machine learning in digital power line communications (pp. 16–21).
  • Thapa, K., & McClellan, S. A. (2021). An evaluation of neural network performance using complex-valued input data (pp. 27–31).

Selected Grants

  • McClellan, Stanley A (Principal), Valles Molina, Damian (Co-Principal). Engineering & Technical Support for Astro-Materials Curation, Jacobs JETS, Private / Foundation / Corporate, $200700. (Funded: January 2021 - December 2022). Grant.

Selected Service Activities

Program Director
JSC Engineering, Technology & Science (JETS) Program
2014-Present
Chair
Academic Computing Committee
2021-2023
System Architect & Manager
Regional 5G/PLTE Network
2021-2023
System Architect & Manager
Regional LoRaWAN Network
2021-2023
Co-Director
Connected Infrastructure Initiative (CIEDAR)
January 2020-2023