University of Siegen, Germany

University of Strathclyde, Glasgow, UK

Toyohashi University of Science and Technology, Toyohashi Aichi, Japan

University of Chittagong, Chittagong, Bangladesh

July 11, 2019 to Present

October 01, 2018 to July 10, 2019

November 12, 2017 to September 30, 2018

October 01, 2015 to September 28, 2017

Mohammad Aminul Islam, Machbah Uddin, Md Rakib Hasan and Md Shajalal, "Germinative Paddy Seed Identification Using Deep Convolutional Neural network", Multimedia Tools and Applications, Springer-Nature [IF: 3.6]

Md Shajalal, Alexander Boden and Gunnar Stevens, "Explainable Product Backorder Prediction Exploiting CNN: Introducing Explainable Models in Businesses", Electronic Markets, Springer-Nature [Q1, IF: 8.5

Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker, ''Explainable AI for Bioinformatics: Methods, Tools, and Applications", Briefings in Bioinformatics, Oxford University Press, Oxford Acedemic. [IF13.994, Q1]

Md Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden and Gunnar Stevens, "Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection", IEEE Access, IEEE [IF: 3.9, Q1]

Chiara Tellarini, Md Shajalal, Nico Castelli, Martin Stein, Alexander Boden, Toke Haunstrup Christensen, "A mixed-method approach to study the impacts of energy micro-generation combined with appliance-level feedback on everyday practices", Energy Efficiency, Springer

Md Shajalal, Alexander Boden and Gunnar Stevens, “ForecastExplainer: Explainable Household Energy Demand Forecasting by Approximating Shapley Values Using DeepLIFT”, Technological Forecasting and Social Changes, Elsevier (Impact Factor: 12.9, Q1)

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].

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]

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] 

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).

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.

Md Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, and Gunnar Stevens, "Focus on What Matters: Improved Feature Selection Techniques for Personal Thermal Comfort Modelling" The 9th ACM International Conference on Systems for Energy-Efficient Built Environments (ACM BuildSys 2022), Boston, Massachusetts, USA. [PDF]

Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden and Gunnar Stevens, ``Unveiling the Black Box: Explainable Deep Learning Models for Patent Classification'', The 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisbon, Portugal, Springer LNCS, [PDF]

Md Atabuzzaman, Baby Maksuda Bilkis, Md Shajalal, "Transformer-based Bengali Textual Emotion Recognition", Proceedings of the 20th International Conference on Natural Language Processing (ICON), ACL Anthology, India 2023 [PDF]

Md. Rezaul Karim, Comet, Md. Shajalal, P. de Perthuis, D. Rebholz-Schuhmann, Stefan Decker, "From Large Language Models (LLMs) to Knowledge Graphs for Biomarker Discovery in Cancer", the 57th Hawaii International Conference on System Sciences (HICSS 2023), Hawai, USA. [Core Rank A]]

Md. Rezaul Karim, Md. Shajalal, Alex Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker, "Interpreting Black-box Machine Learning Models for High Dimensional Datasets", 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA2023), Thessaloniki, Greece, [Core Rank A]

Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, and Alexander Boden, "Arabic Sentiment Analysis with Noisy Deep Explainable Model", 7th International Conference on Natural Language Processing and Information Retrieval (ACM NLPIR2023), ACM, Seul, South Korea. (Equal Contribution)

Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern, "Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments", The 2nd International Conference on eXplainable Artificial Intelligence (xAI2024), Malta, Springer LNCS

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

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]

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]

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)

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

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.

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.

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.

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.

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.

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]

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

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

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

URL: https://dblp.uni-trier.de/pers/hd/s/Shajalal:Md

URL: https://scholar.google.co.jp/citations?user=3yLkKWMAAAAJ&hl=en&oi=ao