Rashik Shahriar

About Me

Hi there! I'm Rashik Shahriar Akash and I'm

.

I am a PhD student in Computer Science at Kennesaw State University. My research focuses on developing better trustworthy models for medical image analysis, with publications in Q1 and Q2 journals including SAMU-Net for polyp segmentation and CerviXpert for cervical cancer screening. As a Gold Medalist from Daffodil International University, I specialize in applying computer vision and AI to solve critical healthcare challenges. My work spans diabetic retinopathy detection with low resulation image, early disease screening systems, and clinical decision support tools.

Research Areas: Deep Learning, Computer Vision, Natural Language Processing, Computational Biology, AI for Social Good
Research Topics: Healthcare AI, Medical Image Analysis, Early Disease Detection, Genomic Data Analysis, AI-Driven Social Network Analysis

Education

  • PhD Student

    PhD in Computer Science

    Kennesaw State University

    Expected 2029

    Research Focus: Medical AI, Computer Vision, Deep Learning

  • GRADUATED

    Bachelor of Science in Computer Science & Engineering

    Daffodil International University

    May 2020 - June 2024

    CGPA: 3.93/4.00 | Gold Medalist of 12th Convocation

Research

BibTeX Citation

@article{islam2024samu,
  title={SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction},
  author={Islam, Radiful and Akash, Rashik Shahriar and Rony, Md Awlad Hossen and Hasan, Md Zahid},
  journal={Array},
  pages={100370},
  year={2024},
  publisher={Elsevier}
}

BibTeX Citation

@article{akash2024cervixpert,
  title={CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities},
  author={Akash, Rashik Shahriar and Islam, Radiful and Badhon, SM Saiful Islam and Hossain, KSM Tozammel},
  journal={Digital Health},
  volume={10},
  pages={20552076241295440},
  year={2024},
  publisher={SAGE Publications}
}

BibTeX Citation

@inproceedings{tapu2023review,
  title={A Review on the Impacts of Social Media on the Mental Health},
  author={Tapu, Md Abu Bakar Siddiq and Akash, Rashik Shahriar and Fahim, Hafiz Al and Jarin, Tanin Mohammad and Bhuiyan, Touhid and Reza, Ahmed Wasif and Arefin, Mohammad Shamsul},
  booktitle={International Conference on Intelligent Computing \& Optimization},
  pages={181--195},
  year={2023},
  organization={Springer}
}

BibTeX Citation

@inproceedings{akash2023comprehensive,
  title={A Comprehensive Review on Family Budget Management},
  author={Akash, Rashik Shahriar and Ullah, Mohammad and Islam, Radiful and Nahid, Sayed and Reza, Ahmed Wasif and Arefin, Mohammad Shamsul},
  booktitle={International Conference on Intelligent Computing \& Optimization},
  pages={379--391},
  year={2023},
  organization={Springer}
}

BibTeX Citation

@inproceedings{islam2025qpolypnet,
  title={QPolypNet: A Quantum-Inspired Deep Learning Model for Polyp Segmentation},
  author={Islam, Md Majedul and Akash, Rashik Shahriar and Azim, Sayed Mehedi and He, Selena},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={969--978},
  year={2025}
}
}

BibTeX Citation

Coming Soon
}

Projects

  • 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).

Work Experience

Research Assistant, Health Informatics Research Lab (July 2024 to Present)

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

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

Research Assistant, Apurba-DIU Research and Development Lab (April 2023 to June 2024) [Experience Letter]

  • 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.

Trainer, Advanced Machine Learning and Deep Learning BootCamp by DIU NLP & ML Research Lab (May 2023 to December 2023) [Experience Letter]

  • 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.

TRAINER, ITEE Batch April 2024

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

  • Developed and delivered instructional materials and practice tests.

Lab Prefect, Worked as a Lab Prefect in the Algorithm Lab at Daffodil International University (May 2022 to Dec 2022)

  • Assisted in teaching Algorithm Lab classes.

  • Created functional and technical application documents.

News

  • Nov 2025 Published 1 article in Q2 journal

  • Oct 2025 Published 1 article titled "QpolypNet" in ICCVW

  • Aug 2025 Started PhD in Computer Science

  • Feb 2025 Received Gold Medal for best academic excellence in BSc in Computer Science

  • Dec 2024 Published 2 articles 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

  • Dec 2013 Government scholarship in Junior School Certificate Examination

  • Dec 2011 Government scholarship for High School Entrance

Contact Me

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