Mohtasham Khanahmadi | signal processing | Best Researcher Award

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

Orcid

Scopus

Google Scholar

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. .

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. .

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

Ms. Monisha Basak : Noisy EEG Signal

Ms. Monisha Basak, Bio-neural Intelligence and Research Advancement Laboratory, Bangladesh

Ms. Monisha Basak, a dedicated researcher hailing from Khulna, Bangladesh. From February 2017 to April 2022, she immersed herself in the realm of Biomedical Engineering at Khulna University of Engineering and Technology. 🎓 As a passionate scholar, Ms. Basak delved into the intricacies of emotion analysis, showcasing her innovative spirit by designing experimental models. Her research journey involved capturing and deciphering brain signals using advanced technologies like BIOPAC and Emotiv. 🧠🔍 Ms. Basak’s commitment to unraveling the mysteries of human emotions reflects her dedication to the intersection of technology and healthcare. 🌐

🎓 Education :

Ms. Monisha Basak pursued her academic journey at Khulna University of Engineering and Technology from February 2017 to April 2022, where she earned a Bachelor of Science in Biomedical Engineering. 🎓🔬 Her years of dedicated study in this field have equipped her with a comprehensive understanding of the intersection between engineering and healthcare. Ms. Basak’s educational background reflects her commitment to advancing biomedical knowledge and technology. 🌐💡

🌐 Professional Profiles :

Scopus

ORCID

🏆 Award and Honors :

Ms. Monisha Basak’s academic excellence has been recognized with a series of prestigious awards and honors. For two consecutive years, from 2020 to 2022, she received the Dean’s Award, acknowledging her outstanding performance with an average GPA above 3.75 out of 4.00. 🏆📚 Additionally, her exceptional achievements extend to her earlier academic years, as she was the recipient of the Higher Secondary School Certificate National Board Scholarship from 2016 to 2020 and the Secondary School Certificate National Board Merit Scholarship from 2014 to 2016. 🎓💼 These accolades underscore Ms. Basak’s commitment to scholarly excellence and her consistent dedication to academic success. 🌟

🧠 Research Interests 🔬🌐 :

Ms. Monisha Basak is a dynamic researcher with a broad spectrum of interests at the intersection of technology and healthcare. Her research pursuits encompass a diverse range of fields, including Medical Image Processing, Bio-Signal Processing, Artificial Intelligence, Machine Learning, and Data Science. 🌐🧠 Additionally, Ms. Basak is deeply engaged in the design and development of Biomedical Devices, exploring innovative avenues in Medical Instrumentation. 🔬⚙️ Her fascination with the intricacies of the brain is evident in her focus on Neuroscience and Brain Mapping, coupled with expertise in Biomedical Sensor Design and the cutting-edge field of Neuro Technology. 🚀💡 Ms. Basak’s multifaceted research interests showcase her commitment to advancing technology for the betterment of healthcare and beyond. ✨🔍

Publications ( Top Note ) :

1. Investigating population-specific epilepsy detection from noisy EEG signals using deep-learning models:

Published Year: 2023

Journal Article: Heliyon

DOI: 10.1016/j.heliyon.2023.e22208

Contributors: Torikul Islam, Monisha Basak, Redwanul Islam, Amit Dutta Roy

2. Automatic Classification of COVID-19 from Chest X-Ray Image using Convolutional Neural Network:

Published Year: 2021

Conference Paper: 5th International Conference on Electrical Information and Communication Technology (EICT)

DOI: 10.1109/eict54103.2021.9733477

Contributors: Torikul Islam Palash, Redwanul Islam, Monisha Basak, Amit Dutta Roy