Dure Adan Ali Khan
NUST
· 2026
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406296
Email
dkhan.bee22seecs@seecs.edu.pk
Phone
923015950606
GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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