Profile

About Me



Md. Akmol Masud

I am a machine learning researcher, currently pursuing my M.Sc. at the Institute of Information Technology, Jahangirnagar University. My work is centered on building reliable, data-efficient, and trustworthy AI systems, with a deep focus on computer vision, federated learning, and quantum machine learning.

Under the guidance of Dr. M. Hasan, PhD (VCU), I am investigating communication efficiency and trustworthiness in federated learning for my master's thesis. This research explores adaptive scheduling for heterogeneous data environments and analyzes the critical trade-off between differential privacy and robustness against adversarial attacks. I am also exploring financial modeling with Dr. K.M. Zahidul Islam.

My research journey began with computer vision, developing the MosQNet-SA project under Dr. Shahidul Islam. I've since expanded into quantum ML and graph contrastive learning through collaborations with Md. Abrar Jahin. My work in healthcare AI continues with projects in ECG analysis and Alzheimer's disease detection with Dr. Mohammad Abu Yousuf.

Beyond research, I am passionate about applying data to solve real-world problems. This passion extends to my work at the startup Nimbus Research Bureau (NRB), where I translate raw data into strategic insights. As an ex-cadet of Sylhet Cadet College, I was always fond of different sports and cultural activities, a passion I continued at university. This hands-on leadership is further honed by my role as President of the IIT-JU Sports Club and past positions at the IEEE Student Branch and E-Business & Entrepreneurship Club.

I am always open to connecting with fellow researchers and practitioners. Let's collaborate on building the next generation of impactful AI solutions.

Research Interests

  • Federated Learning
  • Trustworthy AI
  • Differential Privacy
  • Robust Machine Learning
  • Semi-supervised Learning
  • Data-Efficient Deep Learning
  • Computer Vision
  • Statistical Analysis
  • Generative AI

Education

Institute of Information Technology, Jahangirnagar University

M.Sc. in Information and Communication Technology (Ongoing)

Dhaka, Bangladesh

Oct 2024 - Present

Dhaka, Bangladesh

Feb 2019 - Sep 2024

Sylhet Cadet College

Higher Secondary Certificate (HSC); (Science); GPA: 5.0/5.0

Sylhet, Bangladesh
April 2016 - May 2018

Secondary School Certificate (SSC); (Science); GPA: 5.0/5.0

Sylhet, Bangladesh
Jan 2014 - April 2016

Sylhet, Bangladesh

April 2016 - May 2018

Jan 2014 - April 2016

Certifications

IBM Data Science Professional Certificate

Completed a 12-course specialization covering data science methodology, Python, SQL, data analysis, data visualization, machine learning, and generative AI applications. Gained hands-on experience through cloud-based labs and a final Capstone Project.

April 2025

Achievements

Zelestra x AWS ML Ascend Challenge – 2nd Edition

Achieved 84th place out of 1,016 global teams as part of Team_IIT_JU in a machine learning competition focused on solar energy forecasting and optimization.

Jun 2025

DL Enigma 1.0 – SUST CSE Carnival

Ranked 63rd in a competitive computer vision challenge emphasizing deep learning model efficiency.

Jan–Feb 2024

CUET ETE ML Competition

Secured 37th position out of 200+ teams in a deep learning and NLP-focused competition.

Nov 2023

Duke of Edinburgh Leadership Award

Earned the Bronze Standard for demonstrated leadership, perseverance, and team collaboration.

Feb 2017

Experience & Leadership

Nimbus Research Bureau (Co-founder & Research Analyst)

  • Converted raw data into executive-level recommendations through robust analytics pipelines.

Oct 2024 - Present

IIT-JU Sports Club (President)

  • Revitalized a 50-member club, introducing new sports programs that significantly promoted student growth and leadership.

Jan 2024 - Feb 2025

IEEE JU Student Branch

Media & Communications Lead, Membership Development Lead

  • Enhanced members' technical acumen by orchestrating impactful workshops and seminars like 'Better Call Experts'.

Feb 2022 - Aug 2024