Dure Adan Ali Khan
NUST
· 2022
Email
dure.adan.ali.khan@gmail.com
Phone
923015950606
GitHub
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Academic
Program
Electrical Engineering
CGPA
3.41
Year
2022
Education
SEECS
Address
Islamabad, Pakistan
DOB
—
Career
Current role
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Target role
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Skills
COMSOL Multiphysics, MATLAB, Python, C++, Bioimpedance, Tissue Modeling, Signal Processing, Deep Learning, Computer Vision, Computational Modeling
Interests / quote
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.
Verbatim text
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Dure Adan Ali Khan Cell: 923015950606 | Email: dure.adan.ali.khan@gmail.com LinkedIn: https://www.linkedin.com/in/adan-khan-3b8885316 Address: HOUSE NO 195, STREET NO 11, MPC HOUSING SOCIETY,PHASE 3, F 17, ISLAMABAD. , Islamabad , Pakistan 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
Dure Adan Ali Khan is an Electrical Engineering undergraduate with a 3.41 CGPA, specializing in bioelectronics and biomedical signal analysis. He has research experience in skin bioimpedance for melanoma detection and practical skills in computational modeling using COMSOL Multiphysics, MATLAB, Python, and C++.
Skills (AI)
["COMSOL Multiphysics", "MATLAB", "Python", "C++", "Bioimpedance", "Biomedical Signal Analysis", "Deep Learning", "Computer Vision", "Computational Modeling"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdfFrom job #259 page 122
Created: 1778168427