Abu Kaisar Mohammad Masum

👋 About

Abu Kaisar Mohammad Masum is a Ph.D. candidate in Quantum Machine Learning and Emerging Computing at the University of Louisiana at Lafayette, where he also earned an M.S. in Computer Science. He received his B.S. in Computer Science and Engineering from Daffodil International University, Bangladesh. His research has been published in leading venues, including DAC, AAAI, DATE, ISLPED, IEEE TVLSI, IEEE TBME, Nature Portfolio, IEEE Embedded Systems Letters, ISCAS, QCE, ICCD, ICTAI, GLSVLSI, MWSCAS, AAAI Fall Symposium, ARQTEC@HPCA, and WUC@ASPLOS. In 2025, he was selected as a DAC Young Fellow. Most recently, he was part of the winning team in the NASA Beyond the Algorithm Challenge: Novel Computing Architectures for Flood Analysis, securing a $100K grant for pioneering research integrating Quantum Computing and Hyperdimensional Computing (HDC) for real-world flood analysis.

• Sep 2026!NEW QML paper accepted in IEEE International Conference on Tools with Artificial Intelligence (ICTAI'26) (Core-B).
• June 2026!NEW Paper accepted in IEEE Transactions on Biomedical Engineering (TBME).
• May 2026!NEW Paper accepted in ISLPED'26 (Core-A).
• Mar 2026Paper accepted in Nature Portfolio Journal (Unconventional Computing).
• Feb 2026Paper accepted in IEEE Transactions on Very Large Scale Integration Systems (TVLSI).
• Feb 2026Technical Program Committee (TPC) GLSVLSI'26.
• Jan 2026Paper accepted in IEEE Embedded Systems Letters (ESL).
• Jan 2026Three papers accepted DATE'26 (Core-A).
• Oct 2025Paper accepted AAAI (Student Abstract) 2026 (Core-A*).
• Sep 2025Selected to serve on the Scientific Committee for LREC'26.
• Sep 2025Paper accepted in ICCD'25.

• Sep 2025Proposal won the NASA Beyond the Algorithm Challenge ($100K grant).
• Sep 2025Received AAAI travel grant for the AAAI symposium.
• Aug 2025Paper accepted in AAAI Symposium (QIML).
• Jul 2025Received IEEE Computer Society Student Travel Grant for QCE'25.
• Jul 2025Received Student Service Award from GLSVLSI (2025).
• Jul 2025Paper accepted in IEEE Quantum Week QCE'25.
• May 2025Paper accepted MWSCAS'25.
• May 2025Paper accepted ISLPED'25(Core-A).
• May 2025Three papers accepted (Oral) in GLSVLSI'25.
• Apr 2025Selected for IEEE CEDA 2025 Travel Grant.
• Apr 2025LBR Paper accepted in GLSVLSI'25.
• Apr 2025Achieved Academic Excellence Award (ULL).
• Apr 2025Accepted as a DAC Young Fellow 2025.
• Apr 2025Achieved Leaf Award (ULL).
• Mar 2025Paper accepted DAC'25 (Core-A*).
• Feb 2025Paper accepted to ARQTEC collocated with HPCA'25.
• Jan 2025Two papers accepted ISCAS'25.
• Dec 2024Session Chair for ICMLA'24.
• Jul 2024Poster accepted IEEE VIS 2024.
• Jun 2024Attended Quantum Ideas Summer School 2024 (Duke University).
• Jun 2024Completed IBM Quantum Challenge 2024.

🎓 Teaching

• Teaching Assistant: Machine Learning (CMPS 422, CSCE 598) — Spring 2025, Fall 2025, Spring 2026, Fall 2026
• Teaching Assistant: Introduction to Computer Science (CMPS 150) — Fall 2024
• Lecturer, Daffodil International University: 2021–2023
  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence

🏆 Awards, Funding & Recognition

Funding & Travel Awards

• Winner: NASA Beyond the Algorithm Challenge— Novel Computing Architectures for Flood Analysis ($100K grant)
• Quantum Ideas Summer School — Travel support (~$2.5K)
• DAC Young Fellow Award (2025) — Travel award (~$1.4K)
• AAAI Travel Award — Travel support (~$1.04K)
• IEEE Computer Society Travel Award — Travel support (~$1K)
• IEEE CAS Student Travel Grant — Travel support ($1K)
• GLSVLSI'25 Student Volunteer Travel Award — Travel support (~$1K)

Honors & Recognition

• Academic Excellence Award, University of Louisiana at Lafayette (2025)
• Leaf Award, University of Louisiana at Lafayette (2025)
• Peer Tutoring Excellence Awards (Fall 2023 & Spring 2024), Florida Institute of Technology
• Outstanding Student of the Year (2023), Florida Institute of Technology
• Best Performing Faculty and Best Researcher, Daffodil International University (2021)

💼 Professional Experience

• Graduate Research Assistant, University of Louisiana at Lafayette — 2024–Present
  • Conducting research in quantum machine learning, hyperdimensional computing, and hardware-efficient AI.
  • Developing efficient learning algorithms and evaluating emerging computing architectures.
• Graduate Research / Teaching Assistant, Florida Institute of Technology — 2023–2024
  • Supported research and teaching activities in computer science and machine learning.
• Lecturer, Daffodil International University — 2021–2023
  • Taught undergraduate courses in Artificial Intelligence, Machine Learning, and Natural Language Processing.
  • Supervised student projects and undergraduate research.
• Research Assistant, Apurba-DIU Research and Development Lab — 2020–2021
  • Worked on Bengali text processing and spell-checking research.
  • Supervisor: Sheikh Abujar.
• Instructor (Part-time), DIU NLP & ML Research Lab — 2020–2021
  • Taught undergraduate students machine learning and natural language processing tools and libraries.
  • Supervisor: Sheikh Abujar.

🤝 Advising & Mentoring

• Jabir Al Nahian, B.Sc DIU, Current: Lead Data Scientist, Infinimind Inc., Japan
• Afraz Ul Haque, B.Sc DIU, Current: University of Technology Sydney (MS)
• Subrina Sirajee, B.Sc DIU, Current: University of Fukui (MS)
• Nusrat Jahan Badhon, B.Sc DIU, Current: Central Queensland University, Melbourne (MS)

🏛️ Academic Service

🎤 Presentations & Talks

• Conference Presentation — “On-the-Fly Hadamard Hypervector Processing for Efficient Hyperdimensional Computing”
  Design Automation Conference (DAC), 2025
• Conference Presentation — “From Vectors to Qubits: Tiny AI with HDC, SC, and QC”
  Design Automation Conference (DAC), 2025
• Conference Presentation — “ParaHDC: Leveraging GPU Acceleration for Scalable Hyperdimensional Learning”
  Great Lakes Symposium on VLSI (GLSVLSI), 2025
• Conference Presentation — “A Hybrid Classical-Quantum Fine-Tuned BERT for Text Classification”
  AAAI Symposium on Quantum Information & Machine Learning (QIML), 2025
• Conference Presentation — “Quantum-Based Random Numbers: Entropy, Efficiency, and Practicality”
  IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
• Conference Presentation — “Quantum Image Processing: A Comparative Study of NEQR and FRQI Encoding Schemes with Hybrid Processing”
  Great Lakes Symposium on VLSI (GLSVLSI), 2025
• Conference Presentation — “Robust Data Processing for Vector Symbolic Computing”
  Great Lakes Symposium on VLSI (GLSVLSI), 2025
• Workshop Presentation — “Pseudo-Random versus Quasi-Random Number Generation using Quantum Circuits”
  1st ARQTEC Workshop, co-located with the 31st International Symposium on High-Performance Computer Architecture (HPCA), 2025
• Poster Presentation — “QuanText: Text Data Visualization in Quantum Computing”
  IEEE VIS: Visualization & Visual Analytics, 2024
• Conference Presentation — “Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI”
  International Conference on Machine Learning and Applications (ICMLA), 2023
• Conference Presentation — “Hybrid Quantum-Classical Machine Learning for Sentiment Analysis”
  International Conference on Machine Learning and Applications (ICMLA), 2023