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. He holds a Bachelor's degree in Computer Science and Engineering from Daffodil International University, Bangladesh. He has authored multiple research papers in premier venues, including DAC, AAAI, DATE, ISLPED, TVLSI, Nature Portfolio, IEEE Embedded Systems Letters, ISCAS, QCE, ICCD, GLSVLSI, MWSCAS, AAAI Fall Symposium, ARQTEC @HPCA, and WUC@ASPLOS. In 2025, Abu was selected as a DAC Young Fellow 25. Most recently, he was a Winner of the NASA Beyond the Algorithm Challenge: Novel Computing Architectures for Flood Analysis, securing a $100K grant with his team for pioneering work that combines Quantum Computing and Hyperdimensional Computing (HDC) for real-world flood analysis.

Affiliation

Role: Graduate Teaching / Research Assistant (GTA/GRA)
University: University of Louisiana at Lafayette
Advisor: Dr. Sercan Aygun
Office: 301 E. Lewis St., James R. Oliver Hall, Room 359, Lafayette, LA 70503, USA

Service & Community

IEEE, IEEE CASS, IEEE CEDA, IEEE Quantum Technical Community
Secretary: IEEE Computer Society (2026-2027) (IEEE Lafayette Section)
Technical Program Committee (TPC) GLSVLSI'26
Scientific Committee: LREC 2026
Session Chair: ICMLA 2024
Program Committee: ICMLA (since 2023)
Student Member AAAI

Research Map

Intersecting frontiers in emerging computing

Quantum ML

Hybrid models, image encoding, QRNG, QuanText

HDC / VSA

Hypervectors, deterministic learning, GPU HDC, ReRAM

Hardware-Efficient AI

Edge inference, malware detection, health monitoring

LLM & NLP

LLM quantization, BERT fine-tuning, benchmarking

News

Latest highlights and milestones

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 2026.
Sep 2025Paper accepted in ICCD (2025).
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 QCE (IEEE Quantum Week) 2025.
May 2025Paper accepted MWSCAS 2025.
May 2025Paper accepted ISLPED 2025(Core-A).
May 2025Three papers accepted (Oral) in GLSVLSI (2025).
Apr 2025Selected for IEEE CEDA 2025 Travel Grant.
Apr 2025Paper accepted in GLSVLSI LBR (2025).
Apr 2025Achieved Academic Excellence Award (ULL).
Apr 2025Accepted as a DAC Young Fellow 2025.
Apr 2025Achieved Leaf Award (ULL).
Mar 2025Paper accepted DAC 2025 (Core-A*).
Feb 2025Paper accepted to ARQTEC collocated with HPCA 2025.
Jan 2025Two papers accepted ISCAS 2025.
Dec 2024Session Chair for ICMLA 2024.
Jul 2024Poster accepted IEEE VIS 2024.
Jun 2024Attended Quantum Ideas Summer School 2024 (Duke University).
Jun 2024Completed IBM Quantum Challenge 2024.

Selected Publications

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TVLSI (Journal)

Independent and Dynamic Vector Symbolic Architecture for Hardware-Efficient Edge AI

Mehran Moghadam, Abu Kaisar Mohammad Masum, Sercan Aygun, and M. Hassan Najafi

IEEE Transactions on Very Large Scale Integration Systems (TVLSI)

DOI

About

Affiliation

Service & Community

Research Map

News

Selected Publications

Independent and Dynamic Vector Symbolic Architecture for Hardware-Efficient Edge AI

Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures

Single-Pass Learning Android Malware Detector for Mobile Computing Platforms

DAIQUIRI: Dynamic Quantization with Layer-wise Sensitivity Ranking for Hardware-Efficient LLMs

POSEiDON: Pose Estimation in Dynamic On-device Networks via Hyperdimensional Computing

SP-HD: Stochastic Projection-Based HyperDimensional Architecture for Near-Sensor Image Classification

Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract)

On-the-Fly Hadamard Hypervector Processing for Efficient Hyperdimensional Computing

ID-VSA: Independent and Dynamic Vector Symbolic Architecture for Energy-Efficient Edge AI

GAN–BiLSTM–HDC: A Hybrid Framework for Robust and Hardware-Efficient Malware Detection

Quantum-Based Random Numbers: Entropy, Efficiency, and Practicality

A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification

Quantum Image Processing: A Comparative Study of NEQR and FRQI Encoding Schemes with Hybrid Processing

ParaHDC: Leveraging GPU Acceleration for Scalable Hyperdimensional Learning

Robust Data Processing for Vector Symbolic Computing

ReX-HD: A Deterministic ReRAM-Based Hyperdimensional Computing Framework for Edge Computing

tiny Machine Learning on Android Devices: Continuous Health Monitoring with Wearables

AMS-HD: Acute Mountain Sickness Detection with Hyperdimensional Computing

TRUE-BSG: a True Random Bit-Stream Generator for Fast and Efficient Stochastic Computing

QuanText: Text Data Visualization in Quantum Computing

Teaching

Awards, Funding & Recognition

Funding & Travel Awards

Honors & Recognition

Contact