Mohamad Chikhani

Recent Electrical Engineering graduate with a solid academic foundation and a strong understanding of core engineering principles. Eager to leverage theoretical knowledge in real-world applications while enhancing hands-on technical skills in an entry-level role. Dedicated to continuous learning and professional growth, with a strong passion for solving complex technical challenges. Seeking opportunities to contribute to innovative engineering solutions and gain valuable industry experience in a dynamic, growth-driven environment.

• Circuit Analysis and Design: Proficient in designing and troubleshooting both AC and DC electrical circuits, using software simulation tools, including SPICE, LTspice, CircuitSim, and Multisim Possess a solid understanding of fundamental electrical circuit concepts, including the behavior of electrical quantities in frequency-domain analysis, resonance, and network theorems. Gained comprehensive hands-on experience in breadboarding, PCB soldering, and utilizing laboratory instruments such as multimeters, oscilloscopes, function generators, and power supplies during practical assignments.
• Digital Signal Processing (DSP): Knowledge of digital and analog signal processing techniques like filtering, sampling, and modulation. Experience using MATLAB software for analyzing and manipulating signals for several course projects. Implemented code programs in MATLAB using various algorithms to study the unique behavior of signals, and verify BIBO stability
• Communication Systems: Acquired foundational knowledge in techniques such as error detection and correction, cost estimation, noise and interference management, and signal decoding. Gained a fundamental understanding of the transmission and reception of information across various communication channels using both digital and analog signals. Gained hands-on experience in implementing simulations, as well as the modulation and demodulation of signals, using SIMULINK software.
• Communication Networks: Developed a strong understanding of communication network structures, data transmission mechanisms, the role of various protocols, and the technologies that ensure reliable and efficient communication. Gained a solid foundation in modern network systems, including the internet, local area networks (LANs), wireless networks, and the OSI model architecture. Acquired practical experience with WIRESHARK to capture and analyze real-time network traffic, deepening my knowledge of how key protocols such as TCP, UDP, HTTP, and DNS function in network environments.
• Electromagnetic Theory: Acquired a strong foundation in the theory and mathematical formulations of electromagnetic fields, Maxwell's equations, wave propagation, and their practical applications in engineering. Gained hands-on experience in laboratory experiments, utilizing field meters and probes to map and visualize electric and magnetic fields across various configurations. Demonstrated proficiency in applying advanced vector calculus and integral equations to derive, analyze, and solve complex problems related to wave propagation, antenna design, and transmission line analysis.

• Senior Design Capstone Project: The project involved the development of a microcontroller-based robotic system that integrates various technologies, including the Arduino Mega 2560, ESP32, L298N Motor Driver, and Raspberry Pi Pico. The robot was designed to autonomously perform a series of tasks, such as object detection, color recognition, power optimization, and object capture and release. Specifically, the robot is capable of detecting and identifying colored eggs in a field, whether they are isolated or mixed with other objects. Upon detecting a target egg, the robot captures it securely, transports it to a designated corner of the arena, and releases it. This process is fully automated through the use of a microcontroller, which processes data from multiple sensors, while optimizing power consumption to ensure cost efficiency
• Digital Logic Circuit Design: Designed a series of digital circuits using basic logic gates (AND, OR, NOT) to implement Boolean expressions. I then simplified the Boolean functions using algebraic methods and then translated them into practical circuits, verifying the design through truth tables. The project helped me develop a deeper understanding of circuit design and Boolean algebra by bridging theoretical concepts with hands-on implementation.
• The Laplace Transform, the Fourier Series, and the Fourier Transform using SymPy Python programming: I applied SymPy to compute the Laplace Transform of various time-domain signals to analyze system stability and transient behavior. The Fourier Series was applied to periodic signals, breaking them down into their constituent sinusoidal components, while the Fourier Transform was used to analyze non-periodic signals in the frequency domain I compared the results of these transforms to better understand the relationships between time and frequency representations. Gained valuable hands-on experience in applying mathematical transforms to real-world signals using Python, and enhanced my understanding of signal processing techniques
• Engineering Statistics Confidence Intervals and Hypothesis Testing: This project involved analyzing data using Confidence Intervals and Hypothesis Testing to draw conclusions about a real-world scenario. Students used Excel and Minitab to calculate confidence intervals and perform hypothesis tests, such as t-tests and z-tests, to assess sample means and make inferences. The goal was to apply statistical methods to evaluate data, and support decision-making in an engineering context