Mr. md Ali Akber - Natural Language Processing - Excellence in Innovation
AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY - Bangladesh
Author Profile
🌱 Early academic pursuits
md Ali Akber's academic journey began with a strong foundation in computer science and engineering. in 2023, he earned his bachelor's degree from ahsanullah university of science and technology, bangladesh, with a remarkable gpa of 3.592. his academic curiosity was demonstrated through a thesis focused on natural language processing (nlp), a cutting-edge field at the intersection of linguistics and machine learning. this research solidified his expertise and passion for exploring language technology and computational algorithms, positioning him for a future in academia and research.
đź’Ľ Professional endeavors
since february 2024, md Ali Akber has been serving as a lecturer at daffodil international university (diu) in the department of software engineering. his role encompasses a wide range of academic responsibilities, from teaching theory courses to conducting lab sessions and mentoring students. his teaching portfolio includes key courses like "introduction to software engineering," "data structure lab," and "object-oriented concepts," highlighting his versatility and expertise in guiding the next generation of software engineers.
đź“š Contributions and research focus
md Ali Akber’s research contributions are making waves in the field of natural language processing and personality analysis. his publication on "personality and emotion – a comprehensive analysis using contextual text embeddings" breaks new ground by using machine learning to explore the complex relationship between Natural Language Processing personality traits and emotions through social media analysis. another significant work, "personality prediction based on contextual feature embedding sbert," focuses on automating personality predictions using sentence transformers and machine learning models. his research, blending advanced algorithms with human behavioral studies, showcases his commitment to impactful and innovative research.
🏆 Accolades and recognition
through his research publications in reputable journals and conferences, md ali akber has garnered recognition in the academic community. his work on personality prediction and the explainability of machine learning models in news category classification has been particularly well-received, with his model achieving outstanding Natural Language Processing accuracy, far surpassing contemporary benchmarks. his contributions to machine learning and artificial intelligence are setting a high bar in the field, as seen in his successful publications in prestigious platforms such as the ieee region 10 symposium and the natural language processing journal.
🌍 Impact and influence
md Ali Akber’s work has had a broad-reaching impact, particularly in the application of machine learning to personality prediction and nlp. his research not only contributes to academic knowledge but also offers practical applications, especially in understanding human behavior through digital footprints. by exploring the Natural Language Processing intersection of artificial intelligence and psychology, he is paving the way for more intuitive and responsive human-computer interactions. his teachings and mentorship at diu further amplify his influence by shaping the minds of young engineers.
đź”® Legacy and future contributions
looking ahead, md Ali Akber is poised to continue his work at the frontier of natural language processing and artificial intelligence. his dedication to the explainability of machine learning models reflects a broader commitment to ethical ai development, ensuring that future systems are both transparent and user-friendly. as he progresses in his career, he will likely contribute more groundbreaking research, further advancing the understanding of machine learning's role in human-computer interaction and behavioral analysis.
Notable PublicationsÂ
- Title: Personality Prediction Based on Contextual Feature Embedding SBERT
Authors: MA Akber, T Ferdousi, R Ahmed, R Asfara, R Rab
Journal: 2023 IEEE Region 10 Symposium (TENSYMP), 1-5 (2023) - Title: Personality and Emotion—A Comprehensive Analysis Using Contextual Text Embeddings
Authors: A Akber, T Ferdousi, R Ahmed, R Asfara, R Rab, U Zakia
Journal: Natural Language Processing Journal, 100105 (2024) - Title: Interpretability of Machine Learning Algorithms for News Category Classification Using XAI
Authors: N Tabassoum, MA Akber
Journal: 2024 6th International Conference on Electrical Engineering and Information (2024)