Research & Publications
Investigating Natural Language Processing, word embeddings, and autonomous intelligent systems.
Core Research Focus Areas
My academic research endeavors bridge theoretical computer science and applied machine learning to build more intelligent, context-aware computing systems:
Published Papers & Proceedings
Enhancing the Tree-Based Keyphrase Extraction Technique Using Embedding Technique
Authors: Md. Washim Akram, Prof. Dr. Md. Saiful Azad, et al.
Abstract / Contribution: Keyphrase extraction is a fundamental task in Information Retrieval and Natural Language Processing. Traditional tree-based hierarchical extraction frameworks often overlook deeper contextual relationships between candidate phrases. This paper introduces an augmented methodology integrating dense embedding representations into tree-based parse graphs, yielding significant performance improvements in identifying salient keywords across unstructured corpora.
Venue: 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI 2024), Green University of Bangladesh.
Supervisor: Prof. Dr. Md. Saiful Azad, Professor & Dean of the Faculty of Science and Engineering (FSE).
A Raspberry Pi Driven Autonomous Humanoid Robot for Advanced Applications
Authors: Md. Washim Akram, ASM Ahsanul Sarkar Akib, et al.
Abstract / Contribution: Presents the architecture and algorithmic pipeline of an autonomous humanoid robotic platform built on single-board computer architecture (Raspberry Pi). The system integrates multi-sensor telemetry, inverse kinematics, real-time motor control loops, and environmental feedback to deliver reliable stability, navigation, and human-assistive capabilities in complex dynamic terrains.
Venue: 12th International Conference on Control, Mechatronics and Automation (ICCMA 2024), sponsored by Brunel University London, UK.
Affiliation: Robo Tech Valley | Supervisor: ASM Ahsanul Sarkar Akib (MD & CEO).