Project 01:
Development of a 5-DOF Impedance-Controlled Wearable Upper Limb Robotic Exoskeleton
Role: Post-Baccalaureate Research Assistant & Undergraduate Research Mentor
I provided mentorship on the design of the mechanical structure and control system of the wearable robotic exoskeleton. I contributed to the development of a force-based impedance control system and the design of a wearable EMG sensor system for calculating maximal voluntary contraction (MVC).
Project 02:
Development of a 4-DOF EMG-Controlled Grounded Robotic Exoskeleton for Shoulder and Elbow Rehabilitation
Role: Undergraduate Research Assistant and Team Leader
I led a team of 3 undergraduate students in the development of a robotic exoskeleton. I designed a mechanical structure that provides three active shoulder movements. I engineered a low-cost EMG sensor with rectification, amplification, and filtering steps. I developed a force-based impedance control system for therapeutic exercises in shoulder and elbow rehabilitation.
Project 03:
Adaptive Walking of a Bio-inspired Musculoskeletal Soft Quadruped Robot
Role: Graduate Researcher
I redeveloped a bio-inspired musculoskeletal soft quadruped robot driven by pneumatic artificial muscles (PAMs). I realized adaptive walking based on the control pattern of the soft actuators. I increased the speed of the robot by 81% based on adjustments in the transition conditions of the gait cycle.
Project 04:
Brain-Machine Interface for Enhanced Mobility in Individuals with Severe Motor Disabilities
Role: Research Assistant
I led the development of a Brain-Machine Interface (BMI) system for individuals with severe motor disabilities. Using motor imagery and EEG signals, our project empowered users to control robotic arms with their brain activity, employing Support Vector Machines (SVM) for decoding intentions. The system allows users to navigate a virtual environment, manipulate robotic arms, and interact with colored cubes using eye movements.
Project 05:
Development of a Wireless EMG Device
Role: Undergraduate Research Assistant and Team Leader
I developed a wearable wireless EMG device consisting of amplification, filtering, and rectification steps to calculate the Maximum Voluntary Contraction (MVC) value of the biceps and triceps muscles. I transferred the generated signals wirelessly to the graphical user interface via the Bluetooth module of Arduino.
Project 06:
Design of a Passive Micro Flow Sensor System
Role: Undergraduate Research Assistant
I designed an experimental setup in SolidWorks for a microfluidic system with a microflow sensor based on diamagnetic levitation.
Project 07:
Transfer Learning from Real to Imagined Motor Actions in ECoG Data
Role: Team Leader in the Deep Learning Course Project
I led a team of 5 graduate students on the transfer learning from real to imagined motor actions in ECoG data. I trained CNN and LSTM models, achieving 72% accuracy in classifying motor movements.
Project 08:
Classification of motor planning into overt and imagery using an ECoG signal
Role: Team Leader in the Computational Neuroscience Course Project
I directed a team of 5 members on the classification of motor planning into overt and imagery using an ECoG signal. I implemented an SVM classifier to distinguish overt movement and motor imagery.
Project 09:
Representational Mapping Between The Visual Cortex and DCNNs
Role: Team Leader in the Deep Learning Course Project
I led a team of 7 graduate students on the representational mapping between the visual cortex and DCNNs. I trained linear regression models to predict voxel-wise BOLD signals.
Project 10:
Lab-on-card-based sensor for tuberculosis diagnosis using Loop-mediated isothermal amplification
Role: Post-Baccalaureate Research Assistant
I designed the PCB of the low-cost loop-mediated isothermal amplification (LAMP) based Lab-on-card for tuberculosis diagnosis.
Project 11:
Analysis of the Difference in Division Speed of Embryos with Abnormal Chromosomes and Normal Chromosomes
Role: Post-Baccalaureate Research Assistant
I analyzed and compared the division speed data of 11 different cell states of embryos taken from 800 patients with normal and abnormal chromosomes in MATLAB.
Project 12:
Design of a Water Level Controller using PIC16F877A Microcontroller
Role: Team Leader in the Microprocessors and Programming Course Project
I led a team of 2 undergraduate students on the design of a water level controller using the PIC16F877A microcontroller. I drew the circuit diagram of the system and simulated it in the Proteus Design Suite software. I controlled the water level by measuring the water in the reservoir at different levels with the PIC.
Project 13:
Development of a DC to DC Buck Converter
Role: Engineering Intern
I developed a DC to DC Buck (step-down) converter, in which electrical circuit elements and cables are selected in accordance with the desired values. I conducted comprehensive testing of the electronic circuit using advanced diagnostic tools such as a thermal camera and a current probe. I controlled the speed of the DC motor using PWM signals.