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Dure Adan Ali Khan

NUST · 2026 · 406296
Email
dkhan.bee22seecs@seecs.edu.pk
Phone
923015950606
LinkedIn
https://www.linkedin.com/in/adan-khan-3b8885316
GitHub

Academic

Program
CGPA
3.41
Year
2026
Education
Electrical Engineering SEECS , Islamabad , 3.41 (2022)
Address
HOUSE NO 195, STREET NO 11, MPC HOUSING SOCIETY,PHASE 3, F 17, ISLAMABAD. , Islamabad , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Electrical Engineering undergraduate with a strong focus on bioelectronics and biomedical signal analysis. Passionate about developing technology-driven healthcare solutions, with particular interest in biomedical applications of bioimpedance, computer vision, and deep learning. Seeking opportunities to further specialize and contribute to innovation in biomedical engineering. EDUCATION Electrical Engineering SEECS , Islamabad , 3.41 (2022) INTERNSHIP EXPERIENCE Micro Nano Electronics Lab (MiNE) 16-Jun-2025 - 17-Aug-2025 Conducted research on skin bioimpedance characteristics for melanoma detection as a research intern. FINAL YEAR PROJECT Skin Impedance Based Melanoma Detection Focuses on the investigation of bioimpedance-based techniques for melanoma detection using computational modeling. The project involves designing multilayer skin tissue models and performing impedance simulations using COMSOL Multiphysics to study the electrical behavior of biological tissues. The impact of varying electrical properties of skin layers on impedance response is analyzed to support the development of non-invasive biomedical diagnostic approaches. TECHNICAL EXPERTISE COMSOL Multiphysics Experienced in computational modeling and simulation for biomedical applications, with hands-on proficiency in COMSOL Multiphysics for bioimpedance and tissue modeling. MATLAB Familiar with MATLAB for numerical analysis and signal processing. Python and C++ Programming Practical experience in deep learning programming for biomedical and computer vision applications.

AI enrichment

Electrical Engineering undergraduate with a strong focus on bioelectronics and biomedical signal analysis. Passionate about developing technology-driven healthcare solutions, with particular interest in biomedical applications of bioimpedance, computer vision, and deep learning. Seeking opportunities to further specialize and contribute to innovation in biomedical engineering.
Status: ai_done
Provenance
Source file:
Created: 1777448793