Research
Below are several research directions I have pursued throughout my work at Amazon, and during my Ph.D studies.
Agentic AI for Code Transformation
Build and develop Agentic AI for Amazon Q (Java code transformation). The architecture has dynamic workflow and utilizes generic and specialized tools for the Java code-transformation task. The entire system is in production.
Epilogue Summarizer Agent
GenAI-powered Agent designed to generate Summary and Recommendation for complex transformation projects. It acts as an expert developer, providing comprehensive, easy-to-read, and informative summaries of changes along with specific recommendations based on its analysis.
Media Coverage
- Forbes: AWS Extends Agentic AI Capabilities in Amazon Q Developer
- AWS Blog: Announcing Support for Upgrades to Java 21 in Amazon Q Developer
Agentic Workflow Architecture
AI/ML for On-Device Inference
Develop and implement AI/ML algorithm for on-device inference that can run with less latency and with high accuracy.
Sub-Resolution mmWave FMCW Radar-based Touch Localization
Sub-Resolution mmWave FMCW Radar-based Touch Localization using Deep Learning.
On-Device AI/ML Architecture
Uncertainty Quantification in AI/ML
Develop ML systems with probabilistic modeling that can quantify uncertainty in Wireless sensing applications. The work serves as a template to model uncertainty in predictions not only for WiFi sensing but for most wireless sensing applications ranging from WiFi to millimeter wave radar based sensing that utilizes AI/ML models.
Publication
“Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing” published in IEEE CCNC, 2023.
Probabilistic Modeling Framework
UAV Assisted mmWave Communication: 5G+
Channel Modeling Emulator for UAV-assisted Wireless Communication: Use a robotic arm to mimic the motion of UAV in various weather conditions and characterize the impact of motion in the mmWave and THz channels.
Publication
“Emulating UAV Motion by Utilizing Robotic Arm for mmWave Wireless Channel Characterization”, published in IEEE Transactions on Antennas and Propagation, 2021.
Robotic Arm-based Channel Emulator
UAV Assisted Communication for Healthcare Monitoring
Empirical and Statistical Modelling of propagation channel measurements and characterization for ultrawideband communication channel between UAV and wearable (UAVW) devices.
Publication
“Unmanned aerial vehicle-to-wearables (UAV2W) indoor radio propagation channel measurements and modeling”, published in IEEE Access, May 2019.
UAV-to-Wearables Communication System