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.
Research Area
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Machine learning
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Classical Machine Learning (CML)
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Deep learning
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Computer Vision
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Reinforcement learning
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Artificial Intelligence
Education & Work
Education
- M.Sc. in Computer Science
Missouri State University
Springfield, MO
U.S.A
January 2022 – December 2023
- B.Sc. in Electrical Engineering
American International University-Bangladesh
Dhaka, Bangladesh
September 2014 – December 2018
Academic Research Experience
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Research Assistant
Missouri State University
Deparrment of Computer Science
January 2022 – May 2022
Springfield, MO
U.S.A
Industrial Experience
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Machine learning Data Engineer (Co-Op Intern)
Central Station Marketing technologies
January 2023 – August 2023
Euless, TX
U.S.A
Volunteer research experience
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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
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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
About Me
I am a researcher in the field of machine learning, deep learning, reinforcement learning, and
computer vision. My research interests include developing new machine learning algorithms that can
learn from data in a more efficient and effective way, and applying 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 furthor more information
sakibmahmood485@gmail.com
Publication
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Conference Paper:
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-
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Journal:
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Proceeding Paper:
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A Comparative Study of Machine Learning Algorithms for Fetal Health
Detection
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Ongoing Research:
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Deep Learning-based Advanced Energy
Management System (AMES) for SmartGrid Stability Index Prediction and
Improvement in Reliable Power Systems Network (Journal)(In progrocess)
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Data Privacy and Security in the Age of Large Language Models:
An In-depth Exploration
and Risk Assessment (Conference Proceedings)(In progrocess)
Contact
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