Rashik Shahriar Akash | Composite Modeling | Best Researcher Award

Rashik Shahriar Akash | Composite Modeling | Best Researcher Award

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

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 

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) 🌐