Mr.Mohtasham Khanahmadi, Semnan University, Iran.
Mr.Mohtasham Khanahmadi is an Iranian civil engineering researcher specializing in structural health monitoring, damage detection, and signal processing. With over five years of experience, he focuses on nondestructive evaluation, inverse problems, and modal analysis of thin-walled and composite structures. He holds a B.Sc. in Civil Engineering from Velayat University and an M.Sc. in Structural Engineering from Semnan University. Proficient in MATLAB, Abaqus, and computational modeling, he has authored impactful research on damage localization and interfacial debonding detection. Passionate about enhancing structural integrity, his contributions advance the field of applied and computational mathematics in civil engineering. 
Publication Profile
Education & Experience 
B.Sc. in Civil Engineering – Velayat University, Iran (2011–2015)
M.Sc. in Structural Engineering – Semnan University, Iran (2015–2018)
Researcher in Structural Health Monitoring & Damage Detection (5+ years)
Expert in Computational Mathematics & Signal Processing for Civil Structures
Published Research in High-Impact Structural Engineering Journals.
Suitability Summary
Dr. Mohtasham Khanahmadi is a distinguished civil engineering researcher recognized for his outstanding contributions to structural health monitoring, damage detection, and signal processing. With over five years of dedicated research, he has demonstrated exceptional expertise in nondestructive evaluation, applied and computational mathematics, inverse problems, and modal analysis of thin-walled and composite structures, including plates, beams, and columns. His pioneering methodologies have significantly advanced the assessment of structural integrity and performance, making him a highly deserving candidate for the Best Researcher Award.
Professional Development 
Mr.Mohtasham Khanahmadi actively contributes to the advancement of structural health monitoring through cutting-edge research in damage detection and localization techniques. His expertise spans signal processing, nverse problems, and modal analysis, with a strong focus on nondestructive evaluation of civil structures. Skilled in MATLAB, Abaqus, and Microsoft Office tools, he integrates computational methods to enhance structural performance. His work in analyzing thin-walled and composite structures under axial loads has led to significant advancements in interfacial debonding detection and modal curvature-based irregularity indices. Dedicated to academic excellence, he continuously engages in professional learning and knowledge dissemination. 
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Research Focus 
Mr.Mohtasham Khanahmadi’s research centers on structural health monitoring , emphasizing damage detection and localization in civil engineering structures. His work involves signal processing 
, nondestructive evaluation , and computational mathematics 
to enhance the integrity of thin-walled and composite structures such as plates, beams, and columns. He specializes in inverse problem-solving to assess structural behavior under different conditions, including modal analysis of concrete-filled steel tubular (CFST) columns. By developing advanced methodologies, he contributes to the early detection of structural failures, leading to safer and more efficient engineering solutions. 
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Awards & Honors 
Recognized for impactful research in structural health monitoring & damage detection
Published in high-impact journals, including Measurement & IJSSD
Contributions to computational civil engineering methodologies acknowledged in academia
Active collaborator in multidisciplinary structural engineering research projects
Recognized for advancing nondestructive evaluation techniques for damage localization.
Publication Top Notes
A numerical study on vibration-based interface debonding detection of CFST columns using an effective wavelet-based feature extraction technique – 2024
Interfacial Debonding Detection in Concrete-Filled Steel Tubular (CFST) Columns with Modal Curvature-Based Irregularity Detection Indices – 2024
Vibration-based damage localization in 3D sandwich panels using an irregularity detection index (IDI) based on signal processing – 2024
Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study – 2024