ECE PhD Student Hashmath Shaik Receives Best Presentation Award at IEEE CCWC 2025

Hashmath Shaik

ECE Graduate Student Receives Best Presentation Award at IEEE CCWC 2025

The Department of Electrical and Computer Engineering congratulates Hashmath Shaik for receiving the Best Presentation Award at the 2025 IEEE Computing, Communication, and Wireless Technologies (CCWC) Conference, held January 6–8 at the University of Nevada, Las Vegas.

About the IEEE CCWC Best Presentation Award

The IEEE CCWC Best Presentation Award is granted within specific conference tracks to recognize excellence in communicating peer-reviewed research to a global audience. Candidates are evaluated on clarity, technical rigor, research significance, and audience engagement, with winners selected by track session chairs or the conference program committee. Each awardee receives an official certificate endorsed by IEEE CCWC leadership.

Recognized Contribution in AI and Machine Learning

Shaik was recognized in the Artificial Intelligence and Machine Learning track for the presentation of his paper, “Using a Symbolic Knowledge Graph to Address LLM Limitations in Analog Circuit Topology Generation.” His work addresses challenges in leveraging large language models (LLMs) for electronic design automation, proposing a novel symbolic knowledge graph approach that improves reliability and interpretability in analog circuit topology generation.

The award reflects not only the technical strength of the research but also Shaik’s ability to communicate complex ideas effectively to an international community of engineers and researchers.

Significance of the Achievement

IEEE CCWC is a competitive, peer-reviewed international conference that attracts contributions from leading researchers across computing, communications, and wireless technologies. Receiving a Best Presentation Award at such a venue signals recognized excellence in presenting impactful engineering and computing research at the global level.

The Department of Electrical and Computer Engineering congratulates Hashmath Shaik on this achievement and looks forward to his continued contributions to advancing research at the intersection of artificial intelligence and electronic design.