alessandro-roncone

Curriculum Vitae

Khoi Dang Ly

Curriculum Vitae

Professional Experience

2025 - present

LLUME

Embedded Firmware Engineer

LLUME
Short summary: Leading firmware architectural design and implementation for RTOS-based, high-performance embedded electronic systems.

Postdoctoral Research Associate

Cornell University
Short summary: Conducting cutting-edge research at the intersection of embedded sensing, control systems, electrochemistry, chemical kinetics, and materials science.

Education

Ph.D. in Mechanical Engineering (GPA 3.95)

Embedded Sensing and Control for High Speed Electro-hydraulic Soft Robots.
Soft robotics is a field of robotic system design characterized by materials and structures that exhibit large-scale deformation, high compliance, and rich multifunctionality. The incorporation of soft and deformable structures endows soft robotic systems with the compliance and resiliency that makes them well-adapted for unstructured and dynamic environments. While actuation mechanisms for soft robots vary widely, soft electrostatic transducers such as dielectric elastomer actuators and electro-hydraulic actuators have demonstrated promise due to their muscle-like performance. Despite significant leaps in design and modeling of electro-hydraulic actuators thus far, the applications based on these novel actuators are often limited to tethered systems that require bulky and high-cost external sensors and controllers. To address the mentioned shortcomings, this body of research has enabled embedded perception and intelligence to electromechanical systems driven by electro-hydraulic actuators, by (i) developing capacitive self-sensing and magnetic sensing techniques to estimate shape changes of electro-hydraulic actuators in real-time; (ii) designing, modeling, and implementing a controller for a mobile soft robot driven by electro-hydraulic actuators; and (iii) proposing a contact force estimator for the robot using an onboard inertial measurement unit and magnetic displacement sensors. This work represents a substantial step to bring soft robotics closer to practical, real-world applications.

B.Sc. with highest honors in Mechanical Engineering (GPA 3.89)

Evaluation of 3D-printed soft fingertip grasping ability for variable fingertips' design parameters

Patent, Service, and Teaching

Patents

  • Tissue ablation for plant transformation. (Provisional Application No 63/709,087).
  • Capacitive Self-sensing for Electrostatic Transducers with High Voltage Isolation. (US Patent App. 17/928,453.).
  • Embedded Magnetic Sensing Method for Soft Actuators. (US Patent App. 17/746,427.).

Reviewer

  • Science Robotics
  • Nature Communications
  • Advanced Materials
  • Soft Robotics
  • International Journal of Robotics Research (IJRR)
  • Robotics and Automation Letters (RA-L)
  • Robotics: Science and Systems (RSS)
  • IEEE International Conference on Intelligent Robots and Systems (IROS)
  • IEEE International Conference on Robotics and Automation (ICRA)
  • IEEE International Conference on Soft Robotics (RoboSoft)

Teaching Assistant Experience

  • Fall 2018 - MCEN 4043 System Dynamics
  • Fall 2020 - MCEN 2063 Solid Mechanics

Research Mentoring

  • 2023 - Grace Shirota (B.SC.) - Title: Laser ablation for tomato plant transformation.
  • 2022 - Lizzette Corrales (B.SC.) - Title: Design and characterization of a small-scale wave tank.
  • 2020 - Kyle Martinaitis (B.SC.) - Title: Characterization and Model Validation for the Electro-hydraulic Rolling Soft Robot.
  • 2019 - Jatin Mayekar (M.S.) - Title: Design and Modeling of Electro-hydraulic Rolling Soft Robot.
  • 2018 - Dade McMorris (B.SC.) - Title: Self-sensing of High Voltage Electrostatic Actuators .

Publications

Skills and Technical Expertise

The below is my self-assessed level of confidence of my skills, i.e. a set of progress bars that have little meaning and are totally subjective.

Theoretical Knowledge:

Dynamics and Kinematics Modeling 90% Classical and State Space Modeling 85% System Identification 90% Model Predictive Control 90% Power Electronics 85% digital signal processing 85% Solid Mechanics 75%
90% Complete
Dynamics and Kinematics Modeling 90%
85% Complete
Classical and State Space Modeling 85%
90% Complete
System Identification 90%
90% Complete
Model Predictive Control 90%
85% Complete
Power Electronics 85%
85% Complete
digital signal processing 85%
75% Complete
Solid Mechanics 75%

Programming Languages:

C 85% C++ 75% Python 60% LATEX 50%
85% Complete
C 85%
75% Complete
C++ 75%
60% Complete
Python 60%
50% Complete
LATEX 50%

Software Proficiency:

SolidWork 90% Altium Designer 90% Matlab 90% Labview 55% Adobe Premiere Pro 70% Adobe Illustrator 75%
90% Complete
SolidWork 90%
90% Complete
Altium Designer 90%
90% Complete
Matlab 90%
55% Complete
Labview 55%
70% Complete
Adobe Premiere Pro 70%
75% Complete
Adobe Illustrator 75%

Hardware Proficiency:

PCB Design 85% 3D modeling and printing 90% Laser cutting 95% Lathing and Milling 75% Wet Lab Skills 60%
85% Complete
PCB Design 85%
90% Complete
3D modeling and printing 90%
95% Complete
Laser cutting 95%
75% Complete
Lathing and Milling 75%
60% Complete
Wet Lab Skills 60%

This CV has been auto-magically generated from the correspondent page on my personal website. For this reason, there may be some formatting problems here and there. Compilation Date: November 01, 2025