Ghodratollah Roudini | Metal Matrix Composites | Editorial Board Member

Dr. Ghodratollah Roudini at University of Sistan & Baluchestan | Iran

Dr. Ghodratollah Roudini is an accomplished Iranian materials engineer and Associate Professor at the University of Sistan and Baluchestan, where he has served since 2007 and played influential leadership roles, including Vice President for Planning and Development and Head of the Materials Engineering Department. Born on 23 September 1962 in Zabol, Iran, he holds a Ph.D. in Materials Engineering from the Laboratory for Mechanical Metallurgy (LMM) at EPFL, Switzerland, along with Master’s and Bachelor’s degrees in Materials Engineering from Tehran University and Shiraz University. His research expertise spans metal matrix composites, nanocomposites, phase-change materials, thermal energy storage systems, metal forming, and advanced materials design. Dr. Roudini has led and supervised extensive graduate and undergraduate research, contributing significantly to the development of innovative materials with tailored mechanical, thermal, and structural properties. His scholarly contributions include impactful publications on composite behavior, wear mechanisms, interpenetrating-phase structures, hydrophobic nanocomposites for oil–water separation, dislocation modeling, thermal energy storage nanomaterials, and advanced coating technologies. His recent works explore the mechanical and tribological performance of hybrid aluminum–ceramic composites, the design of polyurethane–magnetite–titanium dioxide nanocomposites, and the engineering of SiO2- and graphene-based thermal storage materials, reflecting his broad scientific vision and interdisciplinary approach. With deep experience in teaching advanced materials, metal forming, powder metallurgy, composites, nanocomposites, and dislocation theory, he has shaped the academic growth of many students. His career also includes earlier roles as lecturer and teaching assistant, marking more than three decades of continuous academic engagement. Highly respected for his scientific rigor and commitment to practical materials innovation, Dr. Roudini continues to contribute to engineering research that advances industrial, energy, and environmental applications.

Profile: Scopus

Featured Publications

Zeinali-Moghaddam, H., Roudini, G., & Khosravi, H. (2024). Influence of nanodiamond on compressive and dry-sliding wear behaviors of Al₂O₃–Al interpenetrating-phase composites. Diamond and Related Materials, 149, 111627.

Aghapour, J., Roudini, G., & Khosravi, M. (2024). Mechanical behavior of Al/Al₂O₃p–SiCp hybrid composite fabricated by hot pressing method. Materials Letters, 11(15), 137215.

Hashemi Shahri, S., & Roudini, G. (2023). Mechanical behavior of magnesium–steel particles composites with interpenetrating phases. Journal of Particle Science and Technology, 9(1), 29–34.

Khandan Barani, A., Roudini, G., Barahuie, F., & Masuri, S. U. B. (2023). Design of hydrophobic polyurethane–magnetite iron oxide–titanium dioxide nanocomposites for oil–water separation. Heliyon, 9(5), e15580.

Musavi, S. M., Roudini, G., Barahuie, F., & Masuri, S. U. B. (2021). Thermal energy storage property and temperature control performance of phase change materials eutectic mixture nanocomposite. Micro and Nanosystems, 14(3), 272–280.

Rashik Shahriar Akash | Composite Modeling | Best Researcher Award

Mr. Rashik Shahriar Akash, Health Informatics Research Lab, Bangladesh.

Rashik Shahriar Akash is a motivated Computer Science student from Dhaka, Bangladesh, specializing in Artificial Intelligence (AI) and Machine Learning (ML). He currently serves as a Research Assistant at the Health Informatics Research Lab, focusing on Computer Vision, particularly in medical imaging. With a strong academic background and a passion for technology, Rashik is committed to developing cutting-edge AI solutions for real-world problems. He has contributed to multiple high-impact research papers in the fields of medical imaging, deep learning, and AI. Outside of academics, Rashik is actively involved in extracurricular activities and mentoring fellow students.

Publication profile

Scopus

Orcid

Googlescholar

Education

BSc in Computer Science and Engineering, Daffodil International University, Dhaka (CGPA: 3.93/4.00)
HSC, Collectorate School & College, Rangpur (GPA: 4.83/5.00)
SSC, Sundarganj Abdul Mazid Govt Boys High School (GPA: 5.00/5.00)

Experience

Research Assistant, Computer Vision, Health Informatics Research Lab, Dhaka (Jul 2024 – Present)
Research Assistant, Computer Vision, Apurba-DIU Research and Development LAB, Dhaka (Apr 2023 – Jun 2024)
Trainer, Advance Machine Learning and Deep Learning Bootcamp, DIU NLP & ML Research Lab, Dhaka (May 2023 – Dec 2023)
Lab Prefect, Computer Science and Engineering, Daffodil International University (May 2022 – Dec 2022)

Suitability For The Award

Mr. Rashik Shahriar Akash is an exceptional candidate for the Best Researcher Award based on his strong academic background, extensive research experience, and demonstrated commitment to advancing the field of Artificial Intelligence (AI) and Machine Learning (ML). As a research assistant in the fields of Computer Vision and Health Informatics, he has contributed significantly to cutting-edge research projects, particularly in medical imaging and disease prediction.

Professional Development

Rashik Shahriar Akash has actively pursued opportunities for professional development throughout his academic journey. As a Trainer for the Advance Machine Learning and Deep Learning Bootcamp, he mentored students and enhanced his skills in machine learning frameworks such as TensorFlow and PyTorch. He has also collaborated on several cutting-edge research projects, published impactful papers, and has a strong focus on AI and computer vision in healthcare. His passion for learning and teaching has enabled him to refine his skills in AI and machine learning, particularly in medical applications.

Research Focus

Rashik’s research primarily focuses on the application of Artificial Intelligence and Machine Learning in the fields of medical imaging and computer vision. He has worked on innovative AI models, such as deep learning algorithms for medical diagnoses, including brain tumor detection and breast cancer prediction. His other areas of interest include computer vision-based solutions for polyp segmentation, cervical cell abnormalities, and taxonomic classification using DNA analysis. Through his work, Rashik aims to enhance the efficiency and accuracy of AI applications in healthcare, contributing to meaningful advancements in the field.

Awards and Honors

Level 2 (FE) passer of Information Technology Engineers Examination 2023
Performance-based scholarship at Daffodil International University (2020–2024)
Government scholarship in Junior School Certificate Examination 2013
Government scholarship for High School Entrance

Publications

A Comprehensive Review on Family Budget Management (2023) – International Conference on Intelligent Computing & Optimization, 379-391 (Cited by 1)
SAMU-Net: A Dual-Stage Polyp Segmentation Network with a custom attention-based U-Net and Segment anything Model for Enhanced Mask Prediction (2024) – Array, 100370 (Cited by 0)
CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities (2024) – Digital Health, 10, 20552076241295440 (Cited by 0)
A Review on the Impacts of Social Media on the Mental Health (2023) – International Conference on Intelligent Computing & Optimization, 181-195 (Cited by 0)

Ghodratollah Roudini | Metal Matrix Composites | Editorial Board Member

Ghodratollah Roudini | Metal Matrix Composites | Editorial Board Member

Dr. Ghodratollah Roudini at University of Sistan & Baluchestan | Iran

Profile: Scopus

Featured Publications