Profile of Md. Shajalal

Md. Shajalal
Lecturer
Department of Computer Science and Engineering (CSE)
Faculty of Computer Science and Engineering
Hajee Mohammad Danesh Science & Technology University, Dinajpur.
E-mail: shajalal@hstu.ac.bd
RESEARCH INTEREST
- Web Search Technology, Information Retrieval, Natural Language Processing, Sentiment Analysis and Machine Learning
EDUCATION
- Master of Engineering in Computer Science and Engineering, 2017
Toyohashi University of Science and Technology, Toyohashi Aichi, Japan
- B.Sc. (Engg.) in Computer Science and Engineering, 2015
University of Chittagong, Chittagong, Bangladesh
PROFESSIONAL EXPERIENCES
- Lecturer
Hajee Mohammad Danesh Science and Technology UniversityJuly 11, 2019 to Present
- Lecturer
Bangladesh Agricultural UniversityOctober 01, 2018 to July 10, 2019
- Lecturer
Bangladesh Army University of Science and Technology (BAUST), Saidpur, BangladeshNovember 12, 2017 to September 30, 2018
- Teaching and Research Assistant
Knowledge Data Engineering and Information Retrieval Lab, Toyohashi University of Technology, JapanOctober 01, 2015 to September 28, 2017
PUBLICATIONS
Journal Papers
Md Shajalal and Masaki Aono, "Coverage-based query subtopic diversification leveraging semantic relevance", Knowledge and Information Systems, Springer-Verlag London Ltd., part of Springer Nature 2020 , April 2020, [PDF]. (Q1 Journal, IF:2.39).
Read MoreMd Shajalal and Masaki Aono, "Semantic Textual Similarity between Sentences Using Bilingual Word Semantics" Progress in Artificial Intelligence, Volume-8, Issue-2, pp(263-272) Springer-Verlag GmbH Germany, part of Springer Nature, Jun 2019 ISSN: 2192-6360.
Read MoreMd Shajalal, Masaki Aono, and Muhammad Anwarul Azim, "Diversifying Search Result Leveraging Aspect-based Query Expansion", International Journal of New Computer Architectures and their Applications (IJNCAA) Volume: 8(2) pages(65-77), 2018, ISSN 2220-9085 (Online); ISSN 2412-3587 (Print)
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Conference Papers
Md Shajalal and Masaki Aono, "Semantic Sentence Modeling for Learning Textual Similarity Exploiting LSTM" Proceedings of 2nd International conference on cyber security and computer science 2020 (ICONCS2020), Springer Nature Lecture Notes LNICST, Springer-Verleg GmbH Germany. [In press]
Md Zia Ullah, Md Shajalal, Abu Nowshed Chy, and Masaki Aono, "Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification", Asia Information Retrieval Symposium, pp(308-314), Lecture Notes in Computer Science, Springer-Verlag GmbH Germany, part of Springer Nature. (Best Presentation Award)
Read MoreMd Shajalal, Masaki Aono, and Muhammad Anwarul Azim, "Aspect-based Query Expansion for Search Results Diversification", The 7th IEEE International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition (ICIEV-icIVPR 2018), pp(147~152) Kitakyushu, Fukuaka, Japan
Read MoreMd Shajalal and Masaki Aono "Semantic Textual Similarity in Bengali Text", IEEE International Conference on Bangla Speech and Language Processing (IEEE ICBSLP 2018), SUST, Sylhet, Bangladesh, Sep. 2018.
Read MoreMd Shajalal and Masaki Aono, "Sentence-Level Semantic Textual Similarity Using Word-Level Semantics" The 10th IEEE International Conference on Computer and Electrical Engineering 2018 (ICECE 2018), pp(113~116), BUET, Dhaka, Bangladesh, 20~22 December 2018.
Read MoreMd Shajalal, Md Zia Ullah, Abu Nowshed Chy, and Masaki Aono, "Query Subtopic Diversification based on Cluster Ranking and Semantic Features", IEEE International Conference on Advanced Informatics: Concepts, Theory and Application (IEEE ICAICTA 2016), pp(1-6), August 13-16, Penang, Malaysia, 2016.
Read MoreMd Zia Ullah, Md Shajalal, and Masaki Aono, "KDEIM at NTCIR-12 IMine-2 Search Intent Mining Task: Query Understanding Through Diversified Ranking of Subtopics", Proceedings of NTCIR-12, pp(60-63) , National Institute of Informatics, Tokyo, Japan 2016.
Read MoreAbu Nowshed Chy, Md Zia Ullah, Md Shajalal, and Masaki Aono, KDETM at NTCIR-12 Temporalia Task: Combining a Rule-based Classifier with Weakly Supervised Learning for Temporal Intent Disambiguation, Proceedings of NTCIR-12, pp(281-284), National Institute of Informatics, Tokyo, Japan 2016.
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SCHOLARSHIPS
- MEXT (Monbukagakusho) Scholarship for M. Engg. in CSE at TUT
Funded by: Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan
- University Merit Scholarship
Funded by: University of Chittagong, academic year 2009-10 to 2010-11.
SOCIAL NETWORK
- DBLP Profile
- Google Scholar Profile
URL: https://scholar.google.co.jp/citations?user=3yLkKWMAAAAJ&hl=en&oi=ao