Mian Tahir Nadeem
NUST
· 2026
·
407752
Email
mnadeem.bee22seecs@seecs.edu.pk
Phone
923411623120
GitHub
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Academic
Program
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CGPA
3.77
Year
2026
Education
Bachelor of Electrical Engineering
School of Electrical Engineering and Computer Science (SEECS) NUST , Islamabad , 3.77 (2026)
Address
POST OFFICE KHAS KALYANA PAKAPATTAN , Lahore , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Highly motivated Electrical Engineering undergraduate at NUST with strong academic standing (CGPA 3.77/4.0) and hands-on
experience in Analog, RF, and Mixed-Signal IC Design. Currently working on a wideband tunable Variable Gain Amplifier (7–24 GHz)
for 6G transmitter front-ends, with practical exposure to Cadence Virtuoso, schematic design, layout, and post-layout verification.
Research-oriented candidate with experience in wireless communication systems, RIS-assisted networks, and deep learning with
strong analytical skills, circuit design expertise, and research aptitude.
EDUCATION
Bachelor of Electrical Engineering
School of Electrical Engineering and Computer Science (SEECS) NUST , Islamabad , 3.77 (2026)
INTERNSHIP EXPERIENCE
Deep Learning Lab, SEECS-NUST
01-Jun-2023 - 02-Sep-2023
Worked on automated image classification using deep learning techniques. Achieved improved accuracy compared to classical
machine learning methods such as Support Vector Machines (SVMs). Contributed to data preprocessing, model training, and
performance evaluation.
Information Processing & Transmission Lab (IPT), SEECS-NUST
09-May-2024 - 07-Sep-2024
Conducted research on Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) techniques for next-
generation wireless systems. Investigated Reconfigurable Intelligent Surfaces (RIS) to enhance spectral efficiency and system
capacity. Assisted in simulation, performance evaluation, and documentation of RIS-assisted communication models, contributing to
lab reports and ongoing publications
NUST Chip Design Centre (NCDC), SINES – Islamabad
01-Jan-2025 - 27-Jan-2026
Completed intensive training in Analog and Mixed-Signal IC Design covering MOSFET physics, current mirrors, differential amplifiers,
frequency response analysis, bandgap references, OTAs, oscillators, PLLs, and comparators. Designed, simulated, and verified
multiple analog building blocks using Cadence Virtuoso (65 nm PDK). Performed layout design and post-layout simulations for single-
stage amplifiers and Operational Transconductance Amplifiers (OTAs). Gained practical understanding of IC fabrication flow and
layout-level performance trade-offs.
FINAL YEAR PROJECT
Wideband Tunable Variable Gain Amplifier (7–24 GHz) for Phased-Array Based 6G Transmitter Front-End
Designing a wideband, tunable Variable Gain Amplifier (VGA) operating from 7–24 GHz, targeting FR3 and emerging 6G frequency
bands. The project is conducted as part of a collaborative research initiative between NUST and King Abdullah University of Science
and Technology (KAUST), focusing on phased-array transmitter architectures for next-generation wireless systems. The VGA is
intended to function as a core building block in phased-array front-ends, enabling element-level gain control essential for beam
steering, beamforming, and array calibration. Emphasis was placed on adaptive gain control, high linearity, low noise performance,
and wideband impedance matching, ensuring robustness across multi-band phased-array operation. Objective: complete schematic
AI enrichment
Highly motivated Electrical Engineering undergraduate at NUST with strong academic standing (CGPA 3.77/4.0) and hands-on
experience in Analog, RF, and Mixed-Signal IC Design. Currently working on a wideband tunable Variable Gain Amplifier (7–24 GHz)
for 6G transmitter front-ends, with practical exposure to Cadence Virtuoso, schematic design, layout, and post-layout verification.
Research-oriented candidate with experience in wireless communication systems, RIS-assisted networks, and deep learning with
strong analytical skills, circuit design expertise, and research aptitude.
Status: ai_done
Provenance
Source file: —Created: 1777448793