Research Portfolio

Welcome to my research Portfolio

  • Intro
  • Research Area
  • Work
  • About
  • Publication
  • Contact

Intro

As a dedicated researcher in the field of Computer Science, my passion lies in exploring the frontiers of knowledge and pushing the boundaries of what is known. With a strong foundation in this discipline, I am driven by an insatiable curiosity to delve deep into the intricacies of CML,CV,RL,Ai,Deep learning (more in my research area section). The pursuit of answers to complex questions and the desire to unravel the mysteries that lie within motivate me every day.

Through my research, I aim to make meaningful contributions to the academic community and society as a whole. I am committed to employing rigorous methodology and meticulous attention to detail in order to ensure the validity and reliability of my findings. By seeking innovative solutions and exploring uncharted territories, I strive to broaden our understanding and shed light on new perspectives.

Collaboration and the exchange of ideas are integral to my research approach. I actively seek opportunities to engage with fellow researchers, experts, and scholars to foster a vibrant intellectual community. By working together, we can leverage our collective knowledge and expertise to tackle complex challenges and advance the boundaries of our field.

Beyond the academic realm, I am driven by a desire to make a positive impact on society. I believe that research has the power to drive social change and address pressing global issues. By aligning my work with real-world problems, I aim to contribute to solutions that can improve lives and create a more sustainable and equitable future.

Join me on this intellectual journey as we embark on an adventure of discovery. Together, we can unlock new insights, challenge existing paradigms, and shape the future through the pursuit of knowledge.

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Research Area

  • Machine learning

  • Classical Machine Learning (CML)

  • Deep learning

  • Human–computer Interaction (HCI)

  • Computer Vision

  • Reinforcement learning

  • Artificial Intelligence

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Education & Work

Education

  • Ph.D in Computer Science & Engineering
  • Bangladesh University of Engineering Technology (BUET)
    West Palashi, Dhaka

    Bangladesh

September 2024 – Present
  • M.Sc. in Computer Science
  • Missouri State University
    Springfield, MO

    U.S.A

January 2022 – May 2024
  • B.Sc. in Electrical Engineering
  • American International University-Bangladesh
    Dhaka, Bangladesh
September 2014 – December 2018

Academic Research Experience

  • Lecturer
    Department of Computer Science Engineering
    University of Development Alternative

    Courses: Neural Network, Internet Technology, Database Management System.
    June 2024 – Ongoing
    Dhaka, Bangladesh

  • Research Collaborator
    ELITE lab

    Core area: Coming soon....
    October 2024 – Ongoing
    Queens, New York, United States

  • Research Assistant
    Advanced Machine Intelligence Research Labs

    Core area: Deep learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
    August 2023 – Ongoing
    Springfield, MO, United States

  • Research Assistant
    Missouri State University
    Department of Computer Science
    January 2022 – May 2022
    Springfield, MO

    U.S.A

Industrial Experience

  • Machine learning Data Engineer (Co-Op Intern)
    Central Station Marketing Technologies
    January 2023 – August 2023
    Euless, TX

    U.S.A

Volunteer research experience

  • Research Assistant in Computer Science
    Research work using Reinforcement algorithms in cybersecurity.
    University of Colorado, Springs
    September 2022 – December 2022
    Springs, CO

    U.S.A

  • Research Assistant in Computer Science
    Research work on Machine learning theorem using E-coaching system in Esports.
    North Carolina State University
    June 2022 – September 2022
    Raleigh, NC

    U.S.A

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About Me

I am a researcher in the fields of machine learning, deep learning, reinforcement learning, and computer vision. My research interests include developing new machine-learning algorithms that can learn from data more efficiently and effectively, and apply these algorithms to solve real-world problems.

In my research, I am working on developing new deep-learning algorithms for computer vision tasks such as image classification, object detection, and image segmentation. I am also interested in developing reinforcement learning algorithms that can be used to train robots and other agents to perform complex tasks in the real world.

I believe that machine learning has the potential to revolutionize many industries and aspects of our lives. I am excited to be a part of this field and to contribute to the development of machine learning technologies that can make a positive impact on the world.

Contact me by drop Email and I will receive your copy immediately if you have any questions regarding my research and would like to further more information

sakibmahmood485@gmail.com

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Publication

  • Conference Paper:

    1. Enhancement of SmartGrid Stability by Optimal Energy Management System (EMS) Strategy through Deep Learning

    2. Cost Effective Optimal Solution for Hybrid Power System among Diverse Sources of Renewable Energy

  • Journal:

    1. Cost Effective Optimal Solution for Design Optimization and Performance Evaluation of ER Doped and ER-YB Co-Doped Fiber Amplifier Considering Ion-Ion Interaction Effect

  • Proceeding Paper:

    1. A Comparative Study of Machine Learning Algorithms for Fetal Health Detection

  • Under Review:

    1. Emotionally-Driven Intergenerational HCI for Family Storytelling and Memory Preservation: A Theoretical Framework (Conf.)(Accepted)

    2. Advanced Convolutional Neural Networks for Superior Melanoma Detection Using ResNet34 (Conf.)(Submitted)

    3. IoT-Enabled Smart Air Traffic Control for Drones in Urban Areas: AI-Driven Route Optimization and Energy Management (Conf.)(Accepted)

    4. Machine Learning in Healthcare: Key Applications and Insights from Recent Studies (Conf.)(Accepted)

    5. Ensemble based Machine Learning Models for Early Stroke Prediction and Risk Factors Identification (Conf.)(Accepted)

    6. Bridging the Medical and General Language Gap: A Dual-Mode LLM Framework for Enhanced Healthcare Communication (Conf.)(Submitted)

    7. Enhancing Autism Spectrum Disorder Prediction with Advanced Machine Learning and Ensemble Technique (Conf.)(Submitted)

    8. A Comparative Analysis of Machine Learning Models for Enhancing Human Activity Recognition Systems (Conf.)(Accepted)

    9. Dynamic and Transformative Hybrid Machine Learning Strategies for Effective Stability Prediction in Smart Energy Networks (Conference Proceedings)(Accepted)

    10. Adaptive BCI Calibration Using Neuro Agentic AI (Submitted)

    11. Outcome-Based Education: Evaluating Students' Perspectives Using Transformer (Accepted)

    12. Enhancement of SmartGrid Stability by Optimal Energy Management System (EMS) through Deep Learning (Conf.)(Accepted)

  • Ongoing Research:

    1. Automated ESG Analysis of Corporate Sustainability Reports Using ESG-BERT(In progress)

    2. An IoT-enabled Smart Office via Autonomous LLM Agents (Journal)(In progress)

    3. AI-Powered Advancements in Microbial and Tumor Cell Image Labeling for Enhancement Medical Diagnosis(In progress)

    4. Do Large Models Yield Better Results? Transformer Versus Traditional Natural Language Processing: A Case Study on Anti-Feminist Discourse(In progress)

    5. TransformerMed: A Hybrid Named Entity Recognition Framework for Clinical Text Using BioBERT, Multi-Head Attention, and Bidirectional GRU(In progress)

    6. Deep Learning-based Advanced Energy Management System (AMES) for SmartGrid Stability Index Prediction and Improvement in Reliable Power Systems Network (Journal)(In progress)

    7. How Accurately Can Vision-Language Models Predict Age from Images? An Evaluation and Enhancement Approach (In progress)

    8. AI-based Defect Detection: Machine learning algorithms for real-time identification of defects in fabrics (In progress)

    9. Synthetic Medical Image Generation for Prostate Cancer Diagnosis Using DCGAN (In progress)

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Contact

  • Twitter
  • LinkedIn
  • Email
  • GitHub
  • LinkedIn
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© Mohammad Sakib Mahmood,2025