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.Β Publication profile Scopus Orcid Googlescholar Education BSc in Computer Science and Engineering, Daffodil International University, Dhaka (CGPA: 3.93/4.00)Β HSC, Collectorate School & College, Rangpur (GPA: 4.83/5.00)Β SSC, Sundarganj Abdul Mazid Govt Boys High School (GPA: 5.00/5.00)Β Experience Research Assistant, Computer Vision, Health Informatics Research Lab, Dhaka (Jul 2024 – Present)Β Research Assistant, Computer Vision, Apurba-DIU Research and Development LAB, Dhaka (Apr 2023 – Jun 2024)Β Trainer, Advance Machine Learning and Deep Learning Bootcamp, DIU NLP & ML Research Lab, Dhaka (May 2023 – Dec 2023)Β Lab Prefect, Computer Science and Engineering, Daffodil International University (May 2022 – Dec 2022)Β 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 DevelopmentΒ 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.Β Research FocusΒ Rashikβs 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.Β Awards and Honors Level 2 (FE) passer of Information Technology Engineers Examination 2023Β Performance-based scholarship at Daffodil International University (2020β2024)Β Government scholarship in Junior School Certificate Examination 2013Β Government scholarship for High School EntranceΒ Publications A Comprehensive Review on Family Budget ManagementΒ (2023) –Β International Conference on Intelligent Computing & Optimization, 379-391Β (Cited by 1)Β SAMU-Net: A Dual-Stage Polyp Segmentation Network with a custom attention-based U-Net and Segment anything Model for Enhanced Mask PredictionΒ (2024) –Β Array, 100370Β (Cited by 0)Β CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalitiesΒ (2024) –Β Digital Health, 10, 20552076241295440Β (Cited by 0)Β A Review on the Impacts of Social Media on the Mental HealthΒ (2023) –Β International Conference on Intelligent Computing & Optimization, 181-195Β (Cited by 0)Β
Camelia Cerbu | Composite Materials | Best Researcher Award Posted on 24/09/202424/09/2024 by ScienceFather Camelia Cerbu | Composite Materials | Best Researcher AwardΒ Prof Dr.Camelia Cerbu , Transilvania University of BraΘov, Romania. Prof Dr.Β Camelia CerbuΒ is a Romanian professor at Transilvania University of BraΘov, specializing in mechanical engineering. With extensive expertise in the strength and mechanics of materials, she has authored 39 indexed papers and 14 books. As a PhD supervisor, she coordinates research projects on composite materials and their mechanical behavior. Camelia has been an invited professor at various institutions, including Tianjin University of Commerce in China, where she shared her research on structural optimization. Passionate about education and innovation, she continues to contribute to the field through her teaching and research endeavors.Β Publication Profile Googlescholar Suitability For The Award Prof. Dr. Eng. Camelia Cerbu is a highly suitable candidate for the Best Researcher Award, based on her extensive qualifications and impactful contributions to the field of mechanical engineering. With over 20 years of academic and research experience, she has demonstrated a strong commitment to advancing knowledge in materials science, particularly in the areas of strength, elasticity, and mechanics of composite materials. Education and Experience: Education: Ph.D. in Mechanical Engineering fromΒ Transilvania University of BraΘovΒ Master’s degree inΒ Mechanical EngineeringΒ fromΒ Transilvania University of BraΘovΒ Bachelor’s degree inΒ Mechanical EngineeringΒ fromΒ Transilvania University of BraΘovΒ Experience: ProfessorΒ atΒ Transilvania University of BraΘovΒ (Present)Β PhD SupervisorΒ in Mechanical Engineering (Present)Β Invited ProfessorΒ atΒ Tianjin University of Commerce, ChinaΒ (Date unspecified)Β AuthorΒ of 39 indexed papers and 14 books in the field of mechanical engineeringΒ Research CoordinatorΒ on composite materials and their mechanical behaviorΒ Professional Development Camelia Cerbu has actively participated in various training programs and conferences to enhance her expertise in mechanical engineering. She has contributed to theΒ Research Coordination CommitteeΒ and participated in numerous international conferences, fostering collaboration and knowledge exchange within the academic community. Additionally, she has been involved in editorial roles for reputed scientific journals, ensuring the integrity and quality of published research. Her dedication to continuous learning is reflected in her commitment to staying updated with the latest advancements in composite materials and mechanical engineering, making her a valuable asset to both her institution and the broader scientific community.Β Research Focus Camelia Cerbu’s research primarily centers onΒ composite materials and their mechanical behavior. Her work delves into the mechanical properties, durability, and performance of various composites, contributing to advancements in engineering applications. Additionally, she explores the optimization of materials for enhanced functionality and sustainability. Through her research, she aims to address challenges in mechanical engineering by developing innovative solutions that improve material performance in diverse applications. Her findings not only contribute to academic knowledge but also have practical implications in industries such as automotive, aerospace, and construction, reflecting her commitment to impactful research.Β Awards and HonorsΒ Best Paper AwardΒ at the International Conference on Mechanical EngineeringΒ Outstanding Researcher AwardΒ from her university for contributions to composite materials researchΒ Recognition for Excellence in TeachingΒ awarded by the Faculty of EngineeringΒ Best Reviewer AwardΒ for her contributions to peer-reviewed journalsΒ Scholarship for International Conference ParticipationΒ to present her research abroadΒ PublicationsΒ Β Acoustic properties for composite materials based on alfa and wood fibersΒ βΒ Cited by: 42, Published: 2021 Β Analysis of the hybrid composite materials reinforced with natural fibers considering digital image correlation (DIC) measurementsΒ βΒ Cited by: 42, Published: 2019 Β Mechanical characterization of the flax/epoxy composite materialΒ βΒ Cited by: 38, Published: 2015 Β Numerical modeling of the flax/glass/epoxy hybrid composite materials in bendingΒ βΒ Cited by: 31, Published: 2017 Β Effects of the wood species on the mechanical characteristics in case of some E-glass fibres/wood flour/polyester composite materialsΒ βΒ Cited by: 31, Published: 2010 Β Morphology, physical, and mechanical properties of particleboard made from rape straw and wood particles glued with urea-formaldehyde resinΒ βΒ Cited by: 28, Published: 2019 Conclusion Given her significant contributions to mechanical engineering, commitment to research and education, and leadership within the academic community, Prof. Dr. Eng. Camelia Cerbu exemplifies the qualities of a distinguished researcher. Her innovative work in composite materials and dedication to advancing the field make her an outstanding candidate for the Best Researcher Award.
Publication Profile