Sai Karthik Nallamothu

సాయి కార్తీక్ నల్లమోతు

I am currently pursuing an M.S. in Computer and Information Sciences at the University of Central Florida, working under the guidance of Dr. Pegah Khosravi and Dr. Amrit Singh Bedi. Previously, I graduated with Computer Science and Engineering from SRM University.

I am particularly interested in the intersection of Human Interaction and Intelligent Systems in healthcare and medical applications.

skarthik.nallamothu@gmail.com

Resume  /  LinkedIn  /  Github  /  Scholar  /  X (formerly Twitter)

Sai Karthik Nallamothu - Professional Photo. Copyright owned exclusively by Sai Karthik Nallamothu. Not AI-generated.

Updates

Aug 2026: Joined HCA Healthcare as an AI Engineering Intern this fall. Excited for what's ahead!

Oct 2025: Joined AIMIND and SafeRR AI Lab as a Graduate Researcher.

Aug 2025: Joined University of Central Florida to pursue M.S. in Computer Science. Looking forward to this new chapter in life!!

May 2025: Graduated from SRM University-AP with a B.Tech in Computer Science and Engineering.

Aug 2024: Joined TULIP Lab, Deakin University as a Research Intern.

Feb 2024: Joined Brunel University as a Student Researcher.

Sept 2021: Joined SRM University-AP to pursue a B.Tech in Computer Science and Engineering.

Selected Publications (Full list here)

[1] Application of Machine Learning Algorithms and Feature Selection using Genetic Algorithm: A Case Study on Cyber Attack Detection.
YVK Tapas Kumar Mishra, Sai Karthik, Pradeep Sai Teja, Raja Pavan Vignesh.
In Proceedings of the 9th International Conference on Innovations in Information and Communication Technology (I2CT), 2024.

Education

M.S. in Computer Science
University of Central Florida, Florida, USA
Aug 2025 -- May 2027
B.Tech in Computer Science and Engineering
SRM University-AP, Andhra Pradesh, India
Sept 2021 -- Jun 2025

Projects

Adversarial-Resilient ANN for Medical Diagnostics Adversarial-Resilient ANN for Medical Diagnostics
Code

Developed a deep neural network optimized via Genetic Algorithms for hyperparameter tuning on clinical MRI datasets, achieving 94% classification accuracy under noisy and adversarial conditions. Integrated fuzzy logic to enhance model interpretability and robustness.


Thanks Dr. Jon Barron for this cool website template.

Last updated:

© Sai Karthik. All rights reserved.