Research & Publications

25+ peer-reviewed papers in machine learning, control, and optimization. 700+ citations.

Book

Preprints

Technical Reports

Journal Publications

Conference Publications

Patents

From papers to production systems

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Research & Publications

Book

Control of Mechatronic Systems

Preprints

Agentic AI in Intent Management for Differentiated Connectivity in Autonomous Networks

Technical Reports

When AI Has No Time to Think: Inference Under Extreme Latency and Compute Constraints in RANs

From Intents to Actions: Agentic AI in Autonomous Networks

Approaching AI-Native Radio Access Networks through Generalization and Scalability of Learning

Journal Publications

Generalization in Reinforcement Learning for Radio Access Networks

Design Principles for Model Generalization and Scalable AI in Radio Access Networks

Trade-Offs in Stochastic Event-Triggered Control

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling

Optimal Control of Linear Systems with Limited Control Actions: Threshold-Based Event-Triggered Control

On the Trade-Off Between Control Performance and Communication Cost in Dead-Beat Event-Triggered Control

Modular Design of Jointly Optimal Controllers and Forwarding Policies for Wireless Control

Deterministic and Stochastic Approaches to Supervisory Control Design for Networked Systems with Time-varying Communication Delays

Semi-compliant Force Generator Mechanism Design for a Required Impact and Contact Forces

Parameter Space Design of Repetitive Controllers for Satisfying a Robust Performance Requirement

Conference Publications

Practical Policy Distillation for Reinforcement Learning in Radio Access Networks

Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling

Sparsity-Promoting Iterative Learning Control for Resource-Constrained Control Systems

Performance Analysis of Event-Triggered Control Systems with A Probabilistic Triggering Mechanism

Threshold Optimization of Event-Triggered Multi-Loop Control Systems

Stability Analysis of Discrete-Time Linear Systems with Unbounded Stochastic Delays

To Wait or To Drop: On the Optimal Number of Re-transmissions in Wireless Control

On the Trade-Off Between Control Performance and Communication Cost for Event-Triggered Control over Lossy Networks

Minimum-Energy Packet Forwarding Policies for LQG Performance in Wireless Control Systems

Supervisory Control Design for Networked Systems with Time-Varying Communication Delays

Modular Co-design of Controllers and Transmission Schedules in WirelessHART

Control of Mechatronics Systems: COMES Toolbox

Fast AFM Scanning with Parameter Space Based Robust Repetitive Control Designed Using COMES Toolbox

Compliant Impact Generator for Required Impact and Contact Force

Patents

Joint training of first and second AI models

Method for distributed exploration for multi-objective RL in radio access networks

Methods for AI-driven optimization of intents and resource utilization

Methods for generalizing AI design in communication systems

Management of delivery of power to a radio head

Allocating computing tasks to radio network nodes

Inter-node exchange of link adaptation assistance information

Method for transmitting link adaptation state information in telecommunication networks

Method for user device assisted link adaptation in communication networks

Verifying an action proposed by a reinforcement learning model

Determining whether a device can perform an action

Reinforced federated learning utilizing multiple specialized machine learning agents

Controlling communications from content server to end device

Method and control arrangement for controlling the movement of an autonomous vehicle

Method and control unit for determining an oscillatory behavior of a vehicle

From papers to production systems