Research & Publications
25+ peer-reviewed papers in machine learning, control, and optimization. 500+ citations.
Book
Control of Mechatronic Systems
L. Guvenç, B. A. Guvenç, B. Demirel and M. T. Emirler
216 pp
Preprints
When AI Has No Time to Think: Inference Under Extreme Latency and Compute Constraints in RANs
P. Soldati, C. Tatino, B. Demirel, and J. Wszolek
Techniques for deploying AI models on baseband hardware under sub-millisecond latency budgets.
From Intents to Actions: Agentic AI in Autonomous Networks
B. Demirel, P. Soldati, and Y. A. Wang
Framework for agentic AI systems that translate network intents into autonomous control actions via LLM reasoning and RL.
Approaching AI-Native Radio Access Networks through Generalization and Scalability of Learning
P. Soldati, E. Ghadimi, B. Demirel, Y. Wang, M. Sintorn, and R. Gaigalas
Vision and principles for AI-native RAN architectures emphasizing generalization and scalability.
Journal Publications
Agentic AI in Intent Management for Differentiated Connectivity in Autonomous Networks
P. Soldati, B. Demirel, Y. A. Wang and M. Sintorn
AI-driven intent management enabling differentiated connectivity in self-driving networks.
Generalization in Reinforcement Learning for Radio Access Networks
B. Demirel, Y. A. Wang, C. Tatino, and P. Soldati
Generalization methods for RL agents operating in radio access networks to enable zero-shot transfer across unseen network configurations.
Design Principles for Model Generalization and Scalable AI in Radio Access Networks
P. Soldati, E. Ghadimi, B. Demirel, Y. Wang, R. Gaigalas, M. Sintorn
Design principles for building generalizable and scalable AI solutions for radio access network optimization.
Trade-Offs in Stochastic Event-Triggered Control
B. Demirel, A. S. Leong, V. Gupta and D. E. Quevedo
Fundamental trade-offs between communication cost and control performance in stochastic event-triggered systems.
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
B. Demirel, A. Ramaswamy, D. E. Quevedo and H. Karl
Deep RL algorithm jointly optimizing communication scheduling and control performance in networked systems.
Optimal Control of Linear Systems with Limited Control Actions: Threshold-Based Event-Triggered Control
B. Demirel, E. Ghadimi, D. E. Quevedo and M. Johansson
Optimal threshold policies for event-triggered control minimizing communication while maintaining performance guarantees.
On the Trade-Off Between Control Performance and Communication Cost in Dead-Beat Event-Triggered Control
B. Demirel, V. Gupta, D. E. Quevedo and M. Johansson
Trade-off analysis between control performance and communication cost for dead-beat event-triggered networked control.
Modular Design of Jointly Optimal Controllers and Forwarding Policies for Wireless Control
B. Demirel, Z. Zou, P. Soldati and M. Johansson
Modular co-design framework for jointly optimizing control and communication in wireless networked systems.
Deterministic and Stochastic Approaches to Supervisory Control Design for Networked Systems with Time-varying Communication Delays
B. Demirel, C. Briat and M. Johansson
Supervisory control methods for networked systems handling time-varying communication delays.
Semi-compliant Force Generator Mechanism Design for a Required Impact and Contact Forces
B. Demirel, M. T. Emirler, U. Sonmez and A. Yorukoglu
Design methodology for semi-compliant mechanisms achieving specified impact and contact force profiles.
Parameter Space Design of Repetitive Controllers for Satisfying a Robust Performance Requirement
B. Demirel and L. Guvenç
Parameter space approach for designing repetitive controllers meeting robust performance specifications.
Conference Publications
Practical Policy Distillation for Reinforcement Learning in Radio Access Networks
S. Khosravi, B. Demirel, L. Zhou, J. Rasines and P. Soldati
Policy distillation methods for compressing RL agents into lightweight models deployable on constrained RAN hardware.
Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems
B. Demirel and A. Aytekin
MCTS-based approach for designing periodic communication schedules in networked control systems.
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
B. Demirel, A. Ramaswamy, D. E. Quevedo and H. Karl
Conference presentation of DeepCAS — deep RL for joint scheduling and control optimization.
Sparsity-Promoting Norm-Optimal Iterative Learning Control for Resource-Constrained Control Systems
B. Demirel, E. Ghadimi and D. E. Quevedo
Sparsity-promoting iterative learning control for systems operating under communication resource constraints.
Performance Analysis of Event-Triggered Control Systems with A Probabilistic Triggering Mechanism
B. Demirel, A. S. Leong and D. E. Quevedo
Performance analysis of probabilistic event-triggered control in the scalar case.
Threshold Optimization of Event-Triggered Multi-Loop Control Systems
B. Demirel, V. Gupta, D. E. Quevedo and M. Johansson
Optimal threshold design for multi-loop event-triggered control systems.
Stability Analysis of Discrete-Time Linear Systems with Unbounded Stochastic Delays
B. Demirel, H. R. Feyzmahdavian, E. Ghadimi and M. Johansson
Stability conditions for discrete-time linear systems subject to unbounded stochastic communication delays.
To Wait or To Drop: On the Optimal Number of Re-transmissions in Wireless Control
B. Demirel, A. Aytekin, D. E. Quevedo and M. Johansson
Optimal retransmission policies for wireless networked control systems balancing latency and reliability.
On the Trade-Off Between Control Performance and Communication Cost for Event-Triggered Control over Lossy Networks
B. Demirel, V. Gupta and M. Johansson
Trade-off characterization for event-triggered control operating over lossy communication networks.
Minimum-Energy Packet Forwarding Policies for LQG Performance in Wireless Control Systems
Z. Zou, B. Demirel and M. Johansson
Energy-optimal packet forwarding strategies maintaining LQG control performance in wireless systems.
Supervisory Control Design for Networked Systems with Time-Varying Communication Delays
B. Demirel, C. Briat and M. Johansson
Supervisory control framework for networked systems handling time-varying delays.
Modular Co-design of Controllers and Transmission Schedules in WirelessHART
B. Demirel, Z. Zou, P. Soldati and M. Johansson
Joint controller and communication schedule co-design for WirelessHART industrial networks.
Control of Mechatronics Systems - COMES Toolbox
B. Demirel and L. Guvenç
Interactive computer-aided toolbox for mechatronic control system design.
Fast AFM Scanning with Parameter Space Based Robust Repetitive Control Designed Using COMES Toolbox
S. Necipoglu, B. Demirel and L. Guvenç
Robust repetitive control design enabling fast atomic force microscope scanning.
Compliant Impact Generator for Required Impact and Contact Force
B. Demirel, M. T. Emirler, A. Yorukoglu, N. Koca and U. Sonmez
Design of a compliant mechanism generating specified impact and contact forces.
Patents
Joint training of first and second AI models
P. Soldati and B. Demirel
Method for jointly training complementary AI models for radio access network optimization.
Method for distributed exploration for multi-objective RL in radio access networks
P. Soldati and B. Demirel
Distributed exploration strategy for multi-objective reinforcement learning in RAN environments.
Methods for AI-driven optimization of intents and resource utilization
P. Soldati, E. Ghadimi, and B. Demirel
AI-driven methods for optimizing network intents and resource utilization in communication systems.
Methods for generalizing AI design in communication systems
P. Soldati, E. Ghadimi, and B. Demirel
Generalization techniques for AI model design applicable across diverse communication system configurations.
Management of delivery of power to a radio head
H. S. Ghadikolaei, L. Eleftheriadis, R. Inam, B. Demirel, Z. Ghebretensae, E. Sanders
Power delivery management system for radio head units in cellular networks.
Allocating computing tasks to radio network nodes
H. S. Ghadikolaei, L. Eleftheriadis, B. Demirel, A. Azari, Z. Ghebretensae
Method for distributing computing workloads across radio network nodes based on capacity and constraints.
Inter-node exchange of link adaptation assistance information
P. Soldati, E. Ghadimi, Yu Wang, and B. Demirel
Protocol for exchanging link adaptation assistance data between network nodes to improve throughput.
Method for transmitting link adaptation state information in telecommunication networks
P. Soldati, E. Ghadimi, Yu Wang, and B. Demirel
Transmission method for link adaptation state enabling faster adaptation in telecom networks.
Method for user device assisted link adaptation in communication networks
P. Soldati, E. Ghadimi, Y. Wang, B. Demirel, and H. Ryden
User-device feedback mechanism for improving link adaptation accuracy in wireless networks.
Verifying an action proposed by a reinforcement learning model
J. Jeong, B. Demirel, H. Tated, and W. Hu
Safety verification framework for actions proposed by RL agents before execution in production systems.
Determining whether a device can perform an action
K. Cyras, M. Daoutis, A. Pradeep Mujumdar, A. Kattepur, and B. Demirel
Capability assessment method for determining device action feasibility in networked environments.
Reinforced federated learning utilizing multiple specialized machine learning agents
K. Vandikas, A. Vulgarakis Feljan, B. Demirel, M. Orlic, A. Previti, and A. Nikou
Federated learning architecture combining multiple specialized RL agents for distributed optimization.
Controlling communications from content server to end device
S. Içkin, T. Kvernvik, R. Inam, and B. Demirel
Communication control method between content servers and end devices for optimized delivery.
Method and control arrangement for controlling the movement of an autonomous vehicle
B. Demirel, P. Valenzua, P. Lima, and T. Nyberg
Control architecture for autonomous vehicle motion planning and path tracking.
Method and control unit for determining an oscillatory behavior of a vehicle
B. Demirel, P. G. Collares, H. Pettersson, M. Granstrom, and P. Lima
Detection and characterization method for oscillatory vehicle dynamics to enable stability control.