معرفی
Vijayasri Sundarapuram Soundayan is a Researcher affiliated with the Faculty of Science and Technology. She is currently pursuing a PhD focused on AI-based Forward Error Correcting (FEC) codes for next-generation broadband networks, aiming to enhance communication system reliability and efficiency. Her prior academic journey includes a Master of Engineering in Computer Science and Engineering and a Bachelor's research project on fuzzy control systems in power generation.
Education:
- PhD Candidate: Research on AI-driven FEC codes for broadband networks
- Master of Engineering (Computer Science and Engineering): Focused on decision tree pruning in data mining
- Bachelor's Project: Fuzzy control of power generation and distribution systems
Research Interests: Vijayasri’s work spans AI applications in telecommunications, error correction techniques, and smart grid technologies. Her doctoral research integrates machine learning with FEC codes to address challenges in high-speed data transmission. She has also explored data mining methodologies for rule-based decision systems and fuzzy logic for automation in power systems.
Projects:
- Principal Investigator: HDR Project on AI-based FEC codes for broadband networks
Advising & Grants: No specific advising or grant details provided in the text.
Labs/Teams: No lab affiliations or team details mentioned.
