- Leading the development and execution of innovative projects at the intersection of neuroscience and technology, including EEG-fMRI analysis and large-scale brain network modeling.- Driving research and product development aimed at making neuroimaging more accessible and impactful, with potential applications in both research and clinical neurology.- Overseeing the design of an advanced EEG lead to improve data quality during simultaneous fMRI, targeting applications in neuroimaging and clinical diagnostics.- Collaborating with interdisciplinary teams to bridge engineering and life sciences, contributing to advancements in healthcare technology.

- Developed advanced mathematical algorithms, including Kalman filters and adaptive noise estimation, to enable continuous tracking in borehole surveying.- Conducted in-depth investigations of MEMS gyroscopes under various environmental noise conditions, enhancing the accuracy and reliability of tracking systems.- Designed a new calibration procedure to improve the precision of gyroscopic tools, taking into account mechanical and electrical limitations.- Created an offline correction algorithm to identify and rectify errors caused by physical factors affecting gyroscope sensors, significantly improving post-survey angular rotation accuracy.- Analyzing new gyroscope sensors to evaluate their performance and contributing to design decisions for high-temperature survey tools.

I worked on a communication platform that improves collaboration among a group of mobile robots. Although robots allowed to interact only with their neighbors (the ones are in the vicinity), the main objective was to achieve consensus among all robots. I succeed to develop a practical technique to reach the agreement for networks with time-invariant and time-varying topologies, even in the presence of the input saturation.I also studied car-sharing networks, which are the components of smart cities. Designing and implementing the system is a challenging task, which requires determining the number of total vehicles in a fleet and redistributing empty vehicles through the network, which both have economic consequences and affect the quality of the service. I developed a redistribute technique, which optimizes waiting time for a passenger to take a car while reducing the redistribution cost.

I worked as a consultant in a building automation project, known as Building Management System (BMS), at Imam Reza Arena. I was responsible for verifying the design of controllers and sensor networks to meet the expectations for systems such as HVAC, lighting, security systems, and power systems.

I was responsible for optimizing a part of the navigation system in aircraft and marine vessels, which deals with redundant actuators. This part of the navigation, called control allocation, is translating pilot or autopilot commands into degrees for surface actuators, and has a tremendous effect on manoeuvrability and fuel consumption.I proposed a novel optimization algorithm with a considerable low computational cost, high accuracy, and fault tolerance.

I was responsible for leading a small team in a startup. The objective was to develop a greenhouse control unit along with a sensor network. The main motive behind the job is to reduce the overall cost of the control and sensor units by digitalizing the whole system using micro-controllers.The sensor network consisted of four types of sensors, including temperature, soil humidity, CO2, and light. The control unit also received the desired environmental and cultivation parameters from an operator. Then, the control unit commands valves and switches.Successes included designing and implementing freeRTOS, including ADC, PWM, USART, and SPI. I also applied a wiener filter, which could eliminate the noise from the sensor network. Designing an HMI and PCB are the other achievements.

Course name: MATLAB applications for engineering Students

I designed a cost-efficient variable voltage and variable frequency source. The main motive behind the design was to reduce the cost and increase the accuracy of the production by microcontrollers and MOSFETs.