Rashik Shahriar Akash | Composite Modeling | Best Researcher Award Posted on 18/11/202418/11/2024 by ScienceFather 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)
Yassin Fouad | Damage Mechanisms | Best Researcher Award Posted on 04/10/202404/10/2024 by ScienceFather Yassin Fouad | Damage Mechanisms | Best Researcher Award Mr. Yassin Yahia Abdelrahman Fouad, University of KFUPM, Saudi Arabia. Yassin Yahia Abdelrahman Fouad is an aspiring mechanical engineer based in Dhahran, KSA, with a focus on composite materials, material mechanics, and damage mechanisms. He graduated with First-Class Honors from the University of Khartoum, where he studied Mechanical Engineering. Yassin is currently pursuing his Master of Science in Mechanical Engineering at KFUPM, with a thesis on novel Kevlar-epoxy-zirconia composites. With experience as a trainee mechanical design engineer and teaching assistant, he actively contributes to the field through research, publications, and conference presentations. Yassin is fluent in Arabic and has a working proficiency in English. Publication profile Googlescholar Education & Experience: B.Sc. in Mechanical Engineering (Honors) – University of Khartoum (2021) GPA: 8.69/10.00 | First-Class Honors Graduation Project: Mechanical Properties of 3D-Printed Parts M.Sc. in Mechanical Engineering – King Fahd University of Petroleum & Minerals (Expected 2024) GPA: 3.75/4.00 Thesis: Tribological Characteristics of Kevlar-Epoxy-Zirconia Composite Trainee Mechanical Design Engineer – Lambda Engineering (2018) Designed parts using SolidWorks Teaching Assistant – University of Khartoum (2022) Teaching Mechanics of Materials & Machine Design Suitability for Best Researcher Award Yassin Yahia Abdelrahman Fouad is an aspiring mechanical engineer with a strong focus on composite materials, mechanics of materials, and damage mechanisms, making him a promising candidate for the Best Researcher Award. His academic background, coupled with significant research achievements, showcases his potential and dedication to advancing knowledge in his field. Professional Development () Yassin is committed to advancing his knowledge and technical skills in mechanical engineering . He holds various certifications, including the Dassault Systèmes Associate Mechanical Design Certificate and specialized coursework from prestigious institutions like Georgia Tech and HKUST . His participation in SolidWorks User Groups demonstrates his ongoing dedication to mastering 3D design tools, and he actively engages in continuous learning through both academic and professional settings . His involvement in engineering project management and machine design courses reflects his holistic approach to engineering excellence . Research Focus Yassin’s research centers around composite materials, focusing on their mechanical behavior and tribological properties . His work explores the use of novel composite structures, such as Kevlar-Epoxy-Zirconia, for industrial applications where wear resistance and mechanical durability are essential . His publications on the wear characteristics and damage mechanisms of these materials have been featured in top journals . Yassin’s research aims to innovate in the field of materials engineering by improving composite performance in high-stress environments, especially within drilling and casing applications . Awards and Honors () Graduated with First-Class Honors from the University of Khartoum. A+ for the graduation project on 3D printed part orientation. Published papers in esteemed journals, contributing to advancing mechanical engineering. Accepted for oral presentation at the 9th International Conference on Materials Technology and Applications (ICMTA 2024). Publication Top Notes Tribological Characterization of a Novel Ceramic–Epoxy–Kevlar Composite – Polymers 16 (6), 785 (Cited by: 2 | Year: 2024) Wear Characteristics of Zirconia-Toughened Epoxy/Kevlar-Honeycomb Composite Lining for Drilling Casing – Heliyon (Year: 2024) Wear Characteristics of Zirconia Toughened Epoxy-Kevlar Composite Casing Coating Under Dry Friction – Available at SSRN 4863786 (Year: 2024) Conclusion Yassin Yahia Abdelrahman Fouad’s excellent academic record, impactful research in the field of composite materials, and active participation in the academic community position him as a strong candidate for the Best Researcher Award. His innovative work on Kevlar-Epoxy-Zirconia composites and his contributions to the broader engineering community highlight his commitment to advancing material science and mechanics.