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Muhammad Abdullah Asim

NUST · 2026 · 411172
Email
masim.bee22seecs@seecs.edu.pk
Phone
923080650799
LinkedIn
https://linkedin.com/in/abdullah-asim-79577227b
GitHub

Academic

Program
CGPA
3.16
Year
2026
Education
Bachelors in Electrical Engineering School of Electrical Engineering and Computer Sciences (SEECS) , Islamabad (2026)
Address
HOUSE # 315, STREET # 6, NEMAT COLONY # 1, FAISALABAD , Faisalabad , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Electrical Engineering undergraduate at NUST with a strong grasp of circuit and system design fundamentals. Experienced in developing, testing, and refining engineering solutions through academic and hands-on projects. Skilled at applying technical knowledge, logical thinking, and problem-solving approaches to address real-world engineering challenges and contribute effectively in technical environments. EDUCATION Bachelors in Electrical Engineering School of Electrical Engineering and Computer Sciences (SEECS) , Islamabad (2026) INTERNSHIP EXPERIENCE NUST Chip Design Centre, SINES 10-Jun-2025 - 29-Aug-2025 Completed an intensive training and project phase under the iFYP program in the domain of Analog IC Design on CMOS technology, focusing on schematic and layout design of integrated circuits using Cadence Virtuoso. Training covered DC characterization of MOSFETs, DC/Transient/AC analyses of single-stage and differential amplifiers, current mirroring, biasing techniques, and introductory layout practices. Applied acquired skills to design the schematic and layout of a two-stage operational transconductance amplifier (OTA) with defined performance targets, gaining insights into design trade-offs and parameter optimization ESDAC Research Laboratory, SEECS 17-Jun-2024 - 30-Aug-2024 Developed embedded Linux applications for Linux based DE1 SoC board by Intel, gaining hands-on experience in I/O operations, memory-mapped I/O, and kernel module development Implemented device drivers for various peripherals and custom FPGA hardware, enhancing embedded systems solutions Crescent Textile Mills, Faisalabad 11-Jul-2023 - 11-Aug-2023 Gained hands-on experience in power generation, transformer operations, and maintenance, working with various types of generators and learning key safety and reliability practices Developed practical skills in electronic instrument calibration, motor speed control, and troubleshooting electrical devices, while collaborating with engineers and technicians across multiple departments FINAL YEAR PROJECT LiDAR Analog Front-end Chip for Automotive Applications This project focuses on the design of a low-power, high-performance LiDAR Analog Front-End (AFE) chip for automotive applications, addressing the growing demand for long-range, high-resolution, and energy-efficient sensing systems in advanced driver-assistance and autonomous vehicles. The work targets key limitations in existing LiDAR receivers, particularly high input- referred noise in dual-gain Transimpedance Amplifiers (TIAs) under strong signal conditions and excessive power consumption in Analog-to-Digital Converters (ADCs). The proposed solution involves replicating and optimizing a dual-gain TIA architecture to improve noise performance while maintaining wide dynamic range, alongside redesigning the ADC using a more power-efficient architecture that meets required linearity, resolution, and speed specifications. The project deliverables include complete schematic- level designs of the TIA and ADC blocks, detailed pre-layout and post-layout simulation results, integrated layout implementation, and performance validation against target specifications to demonstrate suitability for automotive LiDAR systems.

AI enrichment

Electrical Engineering undergraduate at NUST with a strong grasp of circuit and system design fundamentals. Experienced in developing, testing, and refining engineering solutions through academic and hands-on projects. Skilled at applying technical knowledge, logical thinking, and problem-solving approaches to address real-world engineering challenges and contribute effectively in technical environments.
Status: ai_done
Provenance
Source file:
Created: 1777448793