Bachelor of Science in Computer Science & Engineering

Daffodil International University

(May 2020 - June 2024)

CGPA 3.93/4.00

• Ranked 2nd in a graduating batch of 119.

• 

  December, 2024 ARRAY [Q1]

  SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction

  Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. Polyps' complex morphology and varied appearances ...

  Read More
• 

  November, 2024 Digital Health

  CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities

  Cervical cancer, a leading cause of cancer-related deaths among women globally, has a significantly higher survival rate when diagnosed early. Traditional diagnostic methods like Pap smears and cervical biopsies rely heavily on the skills of ...

  Read More
• 

  December, 2023 ICO 2023

  A Review on the Impacts of Social Media on the Mental Health

  There are numerous effects of social media use on people’s daily lives. Every day we are connected a lot of time with social media. As a result, our brains become unbalanced, and we feel a lot of illness in our bodies. As a result, the primary objective of this analysis is to provide information on how social media affects its users. Nineteen studies were included in this paper regarding the main purpose. We ...

  Read More
• 

  December, 2023 ICO 2023

  A Comprehensive Review on Family Budget Management

  In the modern economic era, households have become one of the most significant corporate entities, and personal finances are essential management-related topics. Effective management of personal finances at a family level is really important to address all the financial related issues in an organized way. ...

  Read More

Submitted and Ongoing

• Open Science: The Prior Knowledge on Natural Language Processing in Bengali Explosive Survey of Seven Years (Submitted to ACM Surveys [Q1])

• DuoSeedNet: An Optimized Dual-Branch Convolutional Neural Network for Enhanced Fruit Seed Classification (Submitted to Cluster Computing [Q1])

• Early Dengue Prediction in Bangladesh: A Comparative Study with Feature Analysis, Explainable AI and Model Optimization (Submitted to SN Computer Science [Q2])

Publications

2024

• Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, and Md Zahid Hasan. ‘SAMU-Net: A Dual-Stage Polyp Segmentation Network with a Custom Attention-Based U-Net and Segment Anything Model for Enhanced Mask Prediction’. Array, 2024, 100370. [Q1][1st author equal contribution][

• Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, and KSM Tozammel Hossain. "CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities." Digital Health 10 (2024): 20552076241295440. [Q2]

2023

• Md Abu Bakar Siddiq Tapu, Rashik Shahriar Akash, Hafiz Al Fahim, Tanin Mohammad Jarin, Touhid Bhuiyan, Ahmed Wasif Reza, and Mohammad Shamsul Arefin. "A Review on the Impacts of Social Media on the Mental Health." In International Conference on Intelligent Computing & Optimization, pp. 181-195. Cham: Springer Nature Switzerland, 2023

• Rashik Shahriar Akash, Mohammad Ullah, Radiful Islam, Sayed Nahid, Ahmed Wasif Reza, and Mohammad Shamsul Arefin. "A Comprehensive Review on Family Budget Management." In International Conference on Intelligent Computing & Optimization, pp. 379-391. Cham: Springer Nature Switzerland, 2023

• MRI Image Analysis for Brain Tumor Detection and Classification using Deep Learning [Project Link]
  Implemented deep learning models to classify brain MRI scans into four tumor categories, achieving an accuracy of 88.63% with InceptionV3.

• Accurate Breast Cancer Prediction using Machine Learning [Project Link]
  Implemented machine learning algorithms to predict breast cancer diagnosis based on cell nucleus characteristics, with Logistic Regression and XGBoost achieving competitive accuracy.

• DNA Kingdom Prediction and Taxonomic Analysis Using PySpark [Project Link]
  Analyzed DNA codon usage patterns to classify sequences into taxonomic kingdoms and explored evolutionary trends using PySpark for large-scale data processing. Also employed machine learning models and achieved high scalability with PySpark.

• DIU Transport Management System [Project Link]
  A Django based system that will automate all the record keeping activities such as buses management, route management and passenger management (Booking and Payments).

• Collaborating in Computer Vision Projects, Especially in the area of Medical Imaging.

• The task is to Produce High-quality Q1 Journals.

• Work experience on 3 Government Funded Projects

• Working with the character and word-level OCR data annotation team.

• Working with the OCR data segmentation team.

• Working with the Font Interoperability Engine tester team.

• Working with the Screen Reader Alo tester team.

• Additional contributions to ADRL’s research efforts, including:

• Conducting literature reviews on relevant computer vision topics.

• Collaborating on research projects and assisting in the development of custom algorithms.

• Engaging in algorithm implementation and optimization.

• Developed and delivered a comprehensive curriculum for the BootCamp.

• Conducted lectures, workshops, and practical sessions to teach participants.

• Guided participants through hands-on coding exercises using popular frameworks (e.g., TensorFlow, PyTorch).

• Provided individual and group mentoring, addressing participants' questions and clarifying doubts.

• Supervised capstone projects and provided feedback on participants' progress and implementation.

• Conducted classes designed to help students prepare for the IT exam.

• Developed and delivered instructional materials and practice tests.

• Assisted in teaching Algorithm Lab classes.

• Created functional and technical application documents.

• [Dec 2024] Published 2 article in Q1 and Q2 journal

• [Jul 2024] Joined as RA at Health Informatics Research Lab

• [Apr 2024] TRAINER at ITEE Batch April-DIU

• [Dec 2023] Published first review article x 2

• [Oct 2023] Level 2 (FE) passer of Information Technology Engineers Examination

• [May 2023] Elected as Vice President of DIU Computer and Programming Club

• [May 2023] Trainer, Advanced Machine Learning and Deep Learning BootCamp

• [Apr 2023] Appointed as an RA at Apurba-DIU Research and Development Lab

• [May 2022] Joined as a Lab Prefect at Algorithm Lab at DIU

• [2013] Government scholarship in Junior School Certificate Examination

• [2011] Government scholarship for High School Entrance

• Reviewer for Journal of Gastrointestinal Oncology

• Reviewer for Systems and Soft Computing