MathWorks Call for Research Proposals: Latest News
Today’s guest blogger is Deepak Bhatia. Deepak is the Program Manager of the MathWorks Call for Research Proposals program.
In March 2025 MathWorks launched the MathWorks Call for Research Proposals which aims to support researchers who are tackling industry-relevant challenges using MATLAB and Simulink. The winners of that first round were announced in October 2025 alongside another application round. Today, I am happy to announce both the Spring 2026 call and the winners of the Fall 2025 call.
The Spring 2026 Call is open
The Spring 2026 cycle is currently open! If you are a full‑time faculty member working with an industry partner and have a bold research idea, we encourage you visit the MathWorks Call for Research Proposals page for details on eligibility, timelines, and application guidelines.
Fall 2025 Award Recipients
Covariance Completion for Adaptive Beamforming and Direction Finding Applications
Daniel Jakubisin, Tarun Cousik Suman, and Nishith Tripathi (Virginia Polytechnic Institute & State University), in collaboration with Analog Devices, are developing novel frameworks for hybrid beamformers aimed at achieving the performance and adaptability traditionally associated with digital beamformers. The project introduces a unified methodology to quantify hybrid beamforming effects, analyze key performance trade‑offs, and demonstrate benefits for advanced communication, sensing, and direction‑finding systems operating in demanding, reliability‑critical environments.
Advanced Robotic Manipulation and Control in Enhanced Automated Lines and Machinery
Marco Carricato and Edoardo Ida' (University of Bologna) are collaborating with IMA Industria Macchine Automatiche S.p.A., in addressing challenges for using advanced robotic systems within high‑performance automated production lines. This project focuses on advanced modeling and control of robotic systems for high‑speed, high‑acceleration handling of liquid‑filled containers, as well as trajectory planning and cooperative manipulation for bulky and rigid products. The results aim to improve both productivity and reliability in next‑generation manufacturing systems.
Honorable Mentions
In addition to the winning proposals, many other proposals demonstrated exceptional technical merit and innovative use of MATLAB and Simulink. The following projects are recognized for their creativity, rigor, and strong potential for real‑world impact.
Fall 2025 Honorable Mentions
Proposal: Robust Adaptive MPC‑RMRAC‑Based Control with Real‑Time Efficiency Optimization for Electric Vehicles
This project proposes a robust model reference adaptive control framework to improve the efficiency of electric vehicles under real‑world operating conditions, including varying loads and temperatures. The approach targets autonomous and fleet EV applications, emphasizing performance, robustness, and computational efficiency.
Proposal: 6G Secure Hybrid Intelligence for Enhanced Layered Defense (SHIELD)
This work focuses on improving the reliability and security of sixth‑generation (6G) wireless networks, which are expected to play a critical role in future industrial systems and disaster‑response scenarios. The proposed framework integrates secure hybrid intelligence to support resilient and trustworthy communications.
Proposal: Real‑Time Learning and Control of Multi‑Robot Systems
This project aims to develop a framework that enables teams of robots to learn and operate collaboratively in highly dynamic environments. By combining real‑time learning with control strategies, the work seeks to enhance adaptability and coordination in multi‑robot systems.
Proposal: An Abstraction‑Based Verification Framework for AI‑Enabled Automotive Systems
This project aims to develop a rigorous verification framework for cyber-physical automotive systems that integrate neural network–based components. By leveraging abstraction techniques, the proposed work seeks to enable scalable and systematic analysis of AI-enabled modules, thereby enhancing the assurance, reliability, and safety of automated driving systems.
Spring 2025 Honorable Mentions
In addition to the Fall 2025 submissions, we also want to recognize outstanding proposals from the Spring 2025 cycle.
Proposal: Simulink Co‑Simulation Demonstrator: CFD Modeling of Aircraft Liquid Hydrogen Tanks with Active Pressure Control
This project advances active pressure control strategies for liquid hydrogen tanks in aerospace applications. By integrating active pressure control into the validated AlphaFlow CFD model, the work enables co‑simulation studies of pressurization strategies and their effectiveness in mitigating pressure collapse during violent slosh events.
Proposal: Framework for Efficient Operations in Multiproduct Pipeline Systems: A Case Scenario of Lubricant Oil Flushing
This research addresses pipeline flushing operations by developing computational models and optimal control strategies to reduce product losses and improve operational efficiency. The approach replaces trial‑and‑error methods with predictive, data‑driven strategies validated through real‑time testing.
Proposal: Control of Multiple Crazyflies with Unreal Engine–Based Simulation and Digital Twin Environment Using MATLAB
This project develops a framework for controlling fleets of drones using high‑fidelity simulation and digital twin technology. By integrating Unreal Engine with MATLAB, the work supports sim‑to‑real validation and safe, cost‑effective testing of drone path planning for automated inspection and inventory monitoring tasks.
Proposal: Knowledge‑Guided and Hierarchical Graph Structure Learning for Process Monitoring of Complex Industrial Systems
This proposal introduces graph structure learning methods for monitoring large‑scale, interconnected industrial systems. By combining domain knowledge with data‑driven techniques and hierarchical graph neural networks, the work aims to enable earlier and more accurate fault detection and diagnosis.
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