Under review, can be sent upon request.
Architecture-aware generalization bounds for deep temporal models with beta-mixing sequences.
Under review, can be sent upon request.
Differentiable Randers-Finsler Eikonal solver for GPU-accelerated wildfire spread simulation with learnable anisotropic metrics.
14th International Conference on Network of the Future (NoF) , 2023
Model-free deep RL algorithm for real-time link scheduling in 5G mmWave mesh networks, meeting strict time constraints.
15th International Conference on Network of the Future (NoF) , 2024
ML-based cellular network selector that dynamically routes video packets for autonomous vehicle teleoperation, reducing packet loss and latency.
IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) , 2025
Deep learning method to estimate HTTP/3 response counts from encrypted QUIC traffic, achieving 97% accuracy on 7M+ images.
13th International Conference on Healthcare Informatics (ICHI) , 2025
End-to-end framework for military activity recognition from smartwatch data, achieving 93.8% accuracy across 135 soldiers.
IEEE Mediterranean Conference on Networks and Communications 2025 (MeditCom)
Public dataset of 100K+ labeled QUIC traces with SSL keys from 40K+ websites, enabling encrypted traffic analysis.
Under review, can be sent upon request.
Decision-theoretic ML ensemble for 30-day readmission prediction, outperforming HOSPITAL and clinical scores with AUC 0.752 on 113K admissions.
27th ACM International Conference on Multimodal Interaction (ICMI 2025)
First framework predicting instantaneous VO2 from consumer wearables, using a physiologically constrained ODE and neural Kalman filter.
Published:
Nowadays, many smart watches record and measure many parameters other than heart rate, such as cadence, vertical ratio, vertical oscillation, and many more. Runners can gain much better insight into their techniques and training progress by using these measurements.