Area of research
Artificial Intelligence · Statistical and Nonlinear Physics
Research interest
Research interests include Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography, Complex Network Analysis Techniques, and Neural Networks and Applications.
Roadmap for unconventional computing with nanotechnology
Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
Characterizing physiological high-frequency oscillations using deep learning
Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
CDS&E: Deep Spring: a Neural Network-based Approach to Design of Slender Structures
BECS: Understanding Complex Systems: Large-Scale Data Driven Modeling
Balanced Overlay Network (BON): Decentralized Load Balancing And Resource Discovery via Self-Organized Random Networks
BIC: From Cellular and Gene Networks To Principles of Robust Communication and Distributed Systems Design
QnTM: Harnessing Quantum Entaglement: Fundamental Studies, Communication Protocols, and Computing
ITR/SI: Quantum Communication and Cryptography: Protocols and Systems
SGER: Nanoelectronic Functional Devices
Research Initiation Award: Nanoelectronic Devices: A Neuromorphic Design Paradigm
Parallel Computing Applied to the Simulation of Electron Transport in Advanced Semiconductor Devices