Profile of Md. Shajalal

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Md. Shajalal

Assistant Professor

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

Mobile: +8801725359628


RESEARCH INTEREST

    Web Search Technology, Information Retrieval, Natural Language Processing, Sentiment Analysis and Machine Learning

EDUCATION

  1. PhD (Explainable AI) [Continue], 2024

    Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany

  2. Master of Engineering in Computer Science and Engineering, 2017

    Toyohashi University of Science and Technology, Toyohashi Aichi, Japan

  3. B.Sc. (Engg.) in Computer Science and Engineering, 2015

    University of Chittagong, Chittagong, Bangladesh


PROFESSIONAL EXPERIENCES

  1. Lecturer
    Hajee Mohammad Danesh Science and Technology University

    July 11, 2019 to Present

  2. Lecturer
    Bangladesh Agricultural University

    October 01, 2018 to July 10, 2019

  3. Lecturer
    Bangladesh Army University of Science and Technology (BAUST), Saidpur, Bangladesh

    November 12, 2017 to September 30, 2018

  4. Teaching and Research Assistant
    Knowledge Data Engineering and Information Retrieval Lab, Toyohashi University of Technology, Japan

    October 01, 2015 to September 28, 2017


PUBLICATIONS

Journal Papers

  1. Md Machbah Uddin, Md Aminul Islam, Md Shajalal, Afzal Hossain and Sayeed Iftekhar, "Paddy Seed Variety Identification Using T20-HOG and Haralick Textural Features" has been accepted for publication in Complex and Inlelligent Systems, Springer-Nature [IF: 4.927].

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  2. Md Atabuzzaman, Md Shajalal, M Elius Ahmed, Masud Ibn Afzal and Masaki Aono, "Leveraging grammatical roles for measuring semantic similarity between texts" IEEE Access, IEEE, 2021 [IF: 3.74, Q1]

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  3. Md Shajalal, Petr Hajek and Mohamad Zoynul Abedin, "Product Backorder Prediction with Deep Neural Networks on Imbalanced Data" International Journal of production research, Taylor and Francis Volume-8, Issue-2, pp(263-272) Springer-Verlag GmbH Germany, part of Springer Nature, Jun 2019 [IF: 4.57, Q1] 

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  4. 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).

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  5. Md 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.

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Conference Papers

  1. Md Atabuzzaman, Md Shajalal, Masaki Aono, "Semantic Representation of Sentences Employing an Automated Threshold",  2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Fukuaka, Japan, 2021

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  2. Md Elius Ahmed, Md Shajalal, Md. Atabuzzaman and Masaki Aono, "Semantic similarity based on word recurrence ratio focusing on WordNet" 23rd IEEE International Conference on Computer and Information Technology, IEEE ICCIT2020, AUST, Dhaka 2020 [In Press]

  3. Md Atabuzzaman and Md Shajalal, "Measuring semantic similarity of Bengali texts with Parts-of-Speech tags and word-level semantics" 23rd IEEE International Conference on Computer and Information Technology, IEEE ICCIT2020, AUST, Dhaka 2020 [In Press]

  4. 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]

  5. 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)

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  6. Md 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

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  7. Md 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.

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  8. Md 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.

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  9. Md 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.

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  10. Md 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.

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  11. Abu 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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Books

  1. Md Shajalal and MZ Abedin “Book Chapter: Handling Class Imbalanced Data in Business Domain” Book: The Essentials of Machine Learning in Finance and Accounting, Routledge, Taylor Francis [In Press]

  2. Md Shajalal and Masaki Aono, Health Information Retrieval, Book Chapter on Signal Processing Techniques for Computational Health Informatics, 192(2020) Springer Nature Switzerland AG 

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Awards and SCHOLARSHIPS

  1. MEXT (Monbukagakusho) Scholarship for M. Engg. in CSE at TUT

    Funded by: Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan

  2. University Merit Scholarship

    Funded by: University of Chittagong, academic year 2009-10 to 2010-11.


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