From zero research experience to Best Oral Presentation at IEEE in Tokyo
Working with his YRI PhD mentor, Aditya built a two-step neural network pipeline for anomaly detection in large-scale cloud infrastructure, trained on IBM Cloud Console telemetry covering 39,365 data points and more than 117,000 features. His system detected 16 of 25 anomalies against 6 of 25 in prior research, a 2.7x improvement. He presented at IEEE AAIML 2026 in Tokyo, March 20 to 22, 2026, and won Best Oral Presentation in his session.
AI & Cloud Systems
Best Oral Presentation, IEEE AAIML 2026 Tokyo
IEEE AAIML 2026, 2026
Aditya Singla, YRI Fellow
Junior at Cupertino High School with a strong interest in AI and cloud computing but no prior research or publication experience.
IEEE published and won the Best Oral Presentation award at an international conference in Tokyo.
“Presenting at an international IEEE conference in Tokyo was surreal. Winning Best Oral Presentation for my session made the trip even more special. I would like to thank my research mentor, Vamika, for her guidance throughout this journey.”
Won Best Oral Presentation at IEEE AAIML 2026 in Tokyo, Japan
Detected 16 of 25 anomalies versus 6 of 25 in prior research, a 2.7x improvement
Analyzed 39,365 data points with over 117,000 features from IBM Cloud telemetry
Published in IEEE Xplore, DOI 10.1109/AAIML67890.2026.11498211
A Novel, Multistep Neural Network Approach to Improve Anomaly Detection in Online Operational StatusAaryan Senthilvanan, 3 papers accepted at ISMB, ACM-BCB and IWBBIO