PhD (in progress), Information Technology, Australian Catholic University, Brisbane, Australia.

M.Sc. in Computer Science and Engineering, Gold Medalist

B.Sc. in Computer Science and Engineering

Academic Contribution

Data Communication, Computer Networks, Cryptography and Information Security, Communication Engineering, Optical fiber communication, Operating system etc.

Book Chapter:

1. Alamgir Kabir, M., Islam, M.M.M., Chakraborty, N.R., Noori, S.R.H. (2025). Trustworthy Artificial Intelligence for Industrial Operations and Manufacturing: Principles and Challenges. In: Islam, M.M.M., Baptista, M.L., Tariq, F. (eds) Artificial Intelligence for Smart Manufacturing and Industry X.0. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-031-80154-9_9 
2. Sharna, Nadia Ahmed, Shanta Naha, Saiful Hasan, Narayan Ranjan Chakraborty, Nishat Sultana, and Sumit Kumar Banshal. “Cyberthreats and cybersecurity awareness”; Research Advances in Network Technologies (2024): 83-106. https://doi.org/10.1201/9781003433958

Journals:

1. Dutta, Monoronjon, Mayen Uddin Mojumdar, Md Alamgir Kabir, Narayan Ranjan Chakraborty, Shah Md Tanvir Siddiquee, and Saad Abdullah. "LEU3: An Attention Augmented-Based Model for Acute Lymphoblastic Leukemia Classification." IEEE Access (2025). https://doi.org/10.1109/ACCESS.2025.3542609
2. Mojumdar, Mayen Uddin, Dhiman Sarker, Md Assaduzzaman, Md Anisul Haque Sajeeb, Md Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, and Narayan Ranjan Chakraborty. "AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcare." Data in Brief (2025): 111195. https://doi.org/10.1016/j.dib.2024.111195
3. Ahmed, Md Jobayer, Ratu Saha, Arpon Kishore Dutta, Mayen Uddin Mojumdar, and Narayan Ranjan Chakraborty. "BanglaVeg: A curated vegetable image dataset from Bangladesh for precision agriculture." Data in Brief 59 (2025): 111441. https://doi.org/10.1016/j.dib.2025.111441
4. Sultana, Salma, Tanveer Hasan, Faridul Islam Tanjil, Saiful Islam, Md Osikur Rahman, and Narayan Ranjan Chakraborty. "An Iot and Hybrid Machine Learning Based Real-Time Web Framework for Optimizing Crop Recommendation." Available at SSRN 5132627 Journal Preprint. https://dx.doi.org/10.2139/ssrn.5132627
5. Sarkar, Pronob Chandra, Gourab Kumar Pranta, Mayen Uddin Mojumdar, Arif Mahmud, Sheak Rashed Haider Noori, and Narayan Ranjan Chakraborty. "UDCAD-DFL-DL: A unique dataset for classifying and detecting agricultural diseases in dragon fruits and leaves." Data in Brief 59 (2025): 111411. https://doi.org/10.1016/j.dib.2025.111411
6. Sayeem, Adnan Rahman, Jannatul Ferdous Omi, Mehedi Hasan, Mayen Uddin Mojumdar, and Narayan Ranjan Chakraborty. "IDDMSLD: An Image Dataset for Detecting Malabar Spinach Leaf Diseases." Data in Brief (2025): 111293. https://doi.org/10.1016/j.dib.2025.111293
7. Mojumdar, Mayen Uddin, Shahrin Islam, Md Al Mamun, Rifat Hasan, Shah Md Tanvir Siddiquee, and Narayan Ranjan Chakraborty. "AFruitDB: A comprehensive dataset of six commonly used Asian fruits for advanced grading and biodiversity insights." Data in Brief 59 (2025): 111380. https://doi.org/10.1016/j.dib.2025.111380
8. Shihab, Montasir Rahman, Nafiu Islam Saim, Mayen Uddin Mojumdar, Dewan Mamun Raza, Shah Md Tanvir Siddiquee, Sheak Rashed Haider Noori, and Narayan Ranjan Chakraborty. "Image dataset for classification of diseases in guava fruits and leaves." Data in Brief 59 (2025): 111378. https://doi.org/10.1016/j.dib.2025.111378
9. Rahat, Riazul Islam, Md Sohag Hossain, Mayen Uddin Mojumdar, and Narayan Ranjan Chakraborty. "Dataset of seven tropical flower species from Bangladesh: A resource for classification and ecological studies." Data in Brief 59 (2025): 111374. https://doi.org/10.1016/j.dib.2025.111374
10. Mojumdar, Mayen Uddin, Dhiman Sarker, Md Assaduzzaman, Hasin Arman Shifa, Md Anisul Haque Sajeeb, Oahidul Islam, Md Shadikul Bari, Mohammad Jahangir Alam, and Narayan Ranjan Chakraborty. "Maternal health risk factors dataset: Clinical parameters and insights from rural Bangladesh." Data in Brief 59 (2025): 111363. https://doi.org/10.1016/j.dib.2025.111363
11. Howlader, Shakib, Md Sabbir Ahamed, Mayen Uddin Mojumdar, Sheak Rashed Haider Noori, Shah Md Tanvir Siddiquee, and Narayan Ranjan Chakraborty. "A comprehensive image dataset for the identification of eggplant leaf diseases and computer vision applications." Data in Brief 59 (2025): 111353. https://doi.org/10.1016/j.dib.2025.111353
12. Md Anisur Rahman, Narayan Ranjan Chakraborty, Abu Sufiun, Sumit Kumar Banshal, and Fowzia Rahman Tajnin. "An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization." Smart Agricultural Technology 8 (2024): 100472. https://doi.org/10.1016/j.atech.2024.100472
13. Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, and Reda Alhajj. "Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures." Technologies 12, no. 11 (2024): 214. https://doi.org/10.3390/technologies12110214
14. Md Jakaria Zobair, Refat Tasfia Orpa, Mahir Ashef, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty, and M. D. Habib. "A light-weight and generalizable deep learning model for the prediction of COVID-19 from chest X-ray images." (2024). International Journal of Electrical and Computer Engineering (IJECE)Vol. 14, No. 4, DOI: https://doi.org/10.11591/ijece.v14i4.pp4068-4077   
15. Sayda Umma Hamida, Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, Kamanashis Biswas, Shahrab Khan Sami, "Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications, " , Big Data and Cognitive Computing, 2024, 8(11), 149, IF: 3.7. https://doi.org/10.3390/bdcc8110149
16. Hridoy, Rashidul Hasan, Arindra Dey Arni, Shomitro Kumar Ghosh, Narayan Ranjan Chakraborty, and Imran Mahmud. "Performance enhancement of machine learning algorithm for breast cancer diagnosis using hyperparameter optimization." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 2181-2190. http://doi.org/10.11591/ijece.v14i2.pp2181-2190
17. Sufiun, Abu, Narayan Ranjan Chakraborty, Shumaiya Akter Shammi, and Sumit Kumar Banshal. “Exploring the Relationship between Cardiac Disease and Patterns of 12-Lead ECG through Neural Network: A Comprehensive Review”; Advances in Systems Science & Applications 24, no. 2 (2024). https://doi.org/10.25728/assa.2024.2024.02.1601
18. Hamida, Sayda Umma, and Narayan Ranjan Chakraborty. "Effectiveness of machine learning for mental health: observing the mental state of Bangladeshi people." International Journal of Medical Engineering and Informatics 16, no. 3 (2024): 222-236. https://doi.org/10.1504/IJMEI.2024.138290
19. Banshal, Sumit Kumar, Sajal Das, Shumaiya Akter Shammi, and Narayan Ranjan Chakraborty. "MONOVAB: An Annotated Corpus for Bangla Multi-label Emotion Detection." arXiv preprint arXiv:2309.15670 (2023).
20. Nabil, Shirajus Salekin, Md Sabbir Alam Pran, Ali Abrar Al Haque, Narayan Ranjan Chakraborty, Mohammad Jabed Morshed Chowdhury, and Md Sadek Ferdous. "Blockchain-based covid vaccination registration and monitoring." Blockchain: Research and Applications (2022): 100092. https://doi.org/10.1016/j.bcra.2022.100092
21. Shammi, Shumaiya Akter, Sajal Das, Narayan Ranjan Chakraborty, Sumit Kumar Banshal, and Nishu Nath. "A Comprehensive Roadmap on Bangla Text-Based Sentiment Analysis." ACM Transactions on Asian and Low-Resource Language Information Processing (2022). https://doi.org/10.1145/3572783
22. Bimal Chandra Das, Md. Waliur Rahman Miah, Narayan Ranjan Chakraborty, Md. Samzid Bin Hafiz, and Momotaz Begum, “Green Hose-Rectangle Model Approach for Power Efficient Communication Networks*”. IAENG International Journal of Computer Science, 48:3, pp760-769
23. Aditya Rajbongshi, Thaharim Khan, Md. Mahbubur Rahman, Anik Pramanik, Shah Md. Tanvir Siddiquee and Narayan Ranjan Chakraborty, “Recognition of Mango Leaf Disease using Convolutional Neural Network Models: A Transfer Learning Approach”, Indonesian Journal of Electrical Engineering and Computer Science. http://doi.org/10.11591/ijeecs.v23.i3.pp%25p
24. Ahmed Al Marouf, Shariful Islam, Narayan Ranjan Chakraborty, "IoT-based Smart Meeting Room Weather Detection System using Arduino and Relative Sensors", International Journal of Computer Applications, Foundation of Computer Science (FCS), NY, USA, Vol, 178, No. 17, June 2019. ISSN:0975-8887.
25. Manoranjan Dash, Amitav Mahapatra & Narayan Ranjan Chakraborty, "Cost Effective Selection of Data Center in Cloud Environment". International Journal on Advanced Computer Theory and Engineering, ISSN (Print): 2319 – 2526, Volume-2, Issue-1, 2013.
26. Narayan Ranjan Chakraborty, Subhenur Latif, Yousuf Mahbubul Islam, “Requirement Elicitation: A “Live” Prototyping Approach”. International Journal of Computer Applications, ISSN: 0975 – 8887, Volume 72– No.13, May 2013, Published by Foundation of Computer Science, New York, USA.
27. Fernaz Narin Nur, Nazmun Nessa Moon, Narayan Ranjan Chakraborty, “A Survey on Routing Protocols in Wireless Multimedia Sensor Networks”, International Journal of Computer Applications, ISSN: 0975 – 8887, Volume 73– No.11, New York, USA.
28. Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, “CAPTCHA Based on Human Cognitive Factor” International Journal of Advanced Computer Science and Applications (IJACSA), ISSN: 2158-107X, Volume 4 Issue 11, New York, USA.

Conference Proceedings:

1. Das, Deepom, Ibrahim Rashid Mazumder, Hemayet Hossain Tuhin, Md Abdul Kayum, Md Jhirul Islam, and Narayan Ranjan Chakraborty. "Machine Learning-Based Prediction and Risk Assessment of Road Accidents in Bangladesh." In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6. IEEE, 2025. https://doi.org/10.1109/QPAIN66474.2025.11171847
2. Khan, Anzir Rahman, Mehraj Hossain Mahi, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Md Alamgir Kabir, and Arpita Nath Boruah. "Transformer-Based Model for Identifying Ethnic Languages in Bangladesh." In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1-6. IEEE, 2025.  https://doi.org/10.23919/INDIACom66777.2025.11115169
3. Samiha, Kazi, Shrabon Datta, Sajib Ghosh, Dewan Aminul Islam, Narayan Ranjan Chakraborty, and Md Hasan Imam Bijoy. "Comparative Study of Deep Learning Techniques to Detect Emotion from Baby Faces." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-7. IEEE, 2025. https://doi.org/10.1109/ECCE64574.2025.11013252
4. Jisan, Sakib Alam, Sourav Kumar Das, Md Julkar Naeen, Nivedita Haldar, Narayan Ranjan Chakraborty, and Mayen Uddin Mojumdar. "Advancing Cauliflower Leaf Freshness and Disease Classification Using Deep Learning Models." In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1-6. IEEE, 2025. https://doi.org/10.23919/INDIACom66777.2025.11115631
5. Sarower, Afjal H., Surovi Islam, Sharmin Akhter, Narayan Ranjan Chakraborty, Shah Md Tanvir Siddiquee, and Touhid Bhuiyan. "Respectful Social Engagement: Facebook Hate Speech Classification for Bengali Language." In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1-7. IEEE, 2025. https://doi.org/10.23919/INDIACom66777.2025.11115194
6. Alahi, Tabib E., Supta Das Dip, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, and Nivedita Haldar. "Image-Based Diagnosis of Bean Plant Health: detection and classification of diseases on beans leaves." In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1-5. IEEE, 2025. https://doi.org/10.23919/INDIACom66777.2025.11115399
7. U. Ayman, M. S. Islam, M. A. M. Rahat, D. M. Raza, N. R. Chakraborty and M. H. Imam Bijoy, "A Machine Learning Based Approach to Classify Tense from English Text," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7, https://doi.org/10.1109/COMPAS60761.2024.10796112
8. Dip, Supta, Tabib E. Alahi, Md Tajwar, Mohammad Asif Dewan, Mayen Uddin Mojumdar, and Narayan Ranjan Chakraborty. "Empowering Regional Language: NLP-driven Conversion from Rangpur Dialect to Standard Bengali Language." In 2024 27th International Conference on Computer and Information Technology (ICCIT), pp. 2689-2694. IEEE, 2024. https://doi.org/10.1109/ICCIT64611.2024.11022045
9. S. K. Das, M. J. Naeen, M. J. Islam, M. A. H. Sajeeb, N. R. Chakraborty and M. U. Mojumdar, "Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-7, https://doi.org/10.1109/ICCCNT61001.2024.10724388
10. R. Ayon, A. S. Mubin, A. -A. G. Hridoy, M. U. Mojumdar, N. R. Chakraborty and M. J. Islam, "Deep Learning for Tea Leaf Disease Detection: Comparing VGG16, Vision Transformer, EfficientNetB3, and Xception," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-6, https://doi.org/10.1109/ICCCNT61001.2024.10726203
11. T. A. Rimi, T. K. Readoy, M. T. Chowdhury, S. R. H. Noori, N. R. Chakraborty and M. U. Mojumdar, "Efficient Water Pliability Prediction for Human Consumption-Exploratory data analysis (EDA) and Multi Algos," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-7, https://doi.org/10.1109/ICCCNT61001.2024.10724388
12. N. M. Pallab, M. U. Mojumdar, N. R. Chakraborty, L. Vetrivendan and S. Akteri, "Machine Learning based Diagnosis of Kidney Abnormality Recognition on CT Scan Images," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1283-1289, https://doi.org/10.23919/INDIACom61295.2024.10498420
13. M. M. Rahman, M. U. Mojumdar, M. M. Jamil, N. R. Chakraborty, R. Hasan and V. Gupta, "Flower Identification by Deep Learning Approach and Computer Vision," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1355-1360, https://doi.org/10.23919/INDIACom61295.2024.10498434
14. U. Ayman, M. M. Asifur Rahim, S. Zaman Mridul, M. T. Ahmed Akash, N. Ranjan Chakraborty and M. H. Imam Bijoy, "Bengali Text Classification: Distinguishing Saintly and Common Forms using Machine Learning Model," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7, doi: 10.1109/COMPAS60761.2024.10796448.
15. M. M. Rahman, M. U. Mojumdar, H. A. Shifa, N. R. Chakraborty, N. P. Stenin and M. A. Hasan, "Anemia Disease Prediction using Machine Learning Techniques and Performance Analysis," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1276-1282, doi: 10.23919/INDIACom61295.2024.10498962.
16. T. Akter, U. Ayman, N. R. Chakraborty, D. A. Islam, A. Mazumder and M. H. I. Bijoy, "Dropout Prediction of University Students in Bangladesh using Machine Learning," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7, doi: 10.1109/COMPAS60761.2024.10797033.
17. B. Ray, U. Ayman, M. A. Asif Khan Akash, N. Khan, N. R. Chakraborty and M. Hasan Imam Bijoy, "A Study on Drug Addiction Prediction in Bangladeshi Universities Using Advanced Machine Learning Algorithms," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7, doi: 10.1109/COMPAS60761.2024.10796447.
18. H. A. Shifa, M. U. Mojumdar, M. M. Rahman, N. R. Chakraborty and V. Gupta, "Machine Learning Models for Maternal Health Risk Prediction based on Clinical Data," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1312-1318, https://doi.org/10.23919/INDIACom61295.2024.10498822  
19. Sufiun, Abu, Md Hasan Imam Bijoy, Narayan Ranjan Chakraborty, and Md Atik Asif Khan Akash. "Automatic Bengali Number Plate Detection and Authentication using YOLO-V4 and YOLO-V5." In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023. https://doi.org/10.1109/ICCIT60459.2023.10441416
20.  Rashid, Md Mazbaur, Shah Md Tanvir Siddique, and Narayan Ranjan Chakraborty. "A Proposed Approach to Detect Traffic Signs by using Convolutional Neural Network." In 2023 8th International Conference on Communication and Electronics Systems (ICCES), pp. 777-783. IEEE, 2023. https://doi.org/10.1109/ICCES57224.2023.10192895
21. Al Mamun, Abdullah, Shabnur Anonna Akhy, Sumaya Mustofa, Md Badol Mia, Partha Dip Sarkar, Narayan Ranjan Chakraborty, and Md Abbas Ali Khan. "Impact of the Use of Social Media Among University Students Using Machine Learning." In International Conference on Communication and Intelligent Systems, pp. 219-231. Singapore: Springer Nature Singapore, 2023.  https://doi.org/10.1007/978-981-97-2082-8_15
22. Ferdous, M., Mojumdar, M.U., Chakraborty, N.R., Bhuiyan, T. (2024). Air Pollution or Gases Behind Toxicity for People Awareness. In: Arefin, M.S., Kaiser, M.S., Bhuiyan, T., Dey, N., Mahmud, M. (eds) Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning. BIM 2023. Lecture Notes in Networks and Systems, vol 867. Springer, Singapore. https://doi.org/10.1007/978-981-99-8937-9_63
23. Tusher, Abdur Nur, Md Islam, Mst Sammy, Sakira Rezowana, Shornaly Akter Hasna, and Narayan Ranjan Chakraborty. "Automatic Recognition of Plant Leaf Diseases Using Deep Learning (Multilayer CNN) and Image Processing." In International Conference on Image Processing and Capsule Networks, pp. 130-142. Springer, Cham, 2022.  https://doi.org/10.1007/978-3-031-12413-6_11
24. Haque, Imdadul, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Md Rana, Shah Md Siddiquee, Md Ashik, and Mehedi Hasan. "Malabar Nightshade Disease Detection Using Deep Learning Technique." In Sustainable Advanced Computing, pp. 173-183. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-9012-9_15
25. Mia, Md Robel, and Narayan Ranjan Chakraborty. "Computer Vision Based Local Vegetables Recognition." In 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), pp. 1-6. IEEE, 2021. https://doi.org/10.1109/GUCON50781.2021.9573704
26. Mojumdar, Mayen Uddin, and Narayan Ranjan Chakraborty. "Orange & Orange leaves diseases detection using Computerized Techniques." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-4. IEEE, 2021. https://doi.org/10.1109/ICCCNT51525.2021.9579964
27. Sultana, Salma, Sadia Rahman, Md Atikur Rahman, Narayan Ranjan Chakraborty, and Tanveer Hasan. "An IoT Based Integrated Health Monitoring System." In 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), pp. 549-554. IEEE, 2021. https://doi.org/10.1109/ICCCA52192.2021.9666412
28. Ferdous, Munira, Jui Debnath, and Narayan Ranjan Chakraborty. "A Review on Maternal Mortality in Bangladesh." In 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), pp. 401-406. IEEE, 2021. https://doi.org/10.1109/ICCCA52192.2021.9666310
29. Orin, Taslima Yesmin, Mayen Uddin Mojumdar, Shah Md Tanvir Siddiquee, and Narayan Ranjan Chakraborty. "Cauliflower Leaf Disease Detection Using Computerized Techniques." In 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), pp. 730-733. IEEE, 2021. https://doi.org/10.1109/ICCCA52192.2021.9666437
30. Saju, Gulfam Ahmed, Nazrul Islam, Md Bhuiyan, Narayan Ranjan Chakraborty, Bimal Chandra Das, and Manoranjan Dash. "RECH-LEACH: A New Cluster Head Selection Algorithm of LEACH on the Basis of Residual Energy for WIRELESS Sensor Network." In Soft Computing and Signal Processing, pp. 525-535. Springer, Singapore, 2021.  https://doi.org/10.1007/978-981-33-6912-2_47
31. Khan, Thaharim, Faisal Arafat, Mayen Uddin Mojumdar, Aditya Rajbongshi, Shah Md Tanvir Siddiquee, and Narayan Ranjan Chakraborty. "A Machine Learning Approach for Predicting the Sunspot of Solar Cycle." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-4. IEEE, 2020. https://doi.org/10.1109/ICCCNT49239.2020.9225427
32. Ferdous, Munira, Jui Debnath, and Narayan Ranjan Chakraborty. "Machine learning algorithms in healthcare: A literature survey." In 2020 11th International conference on computing, communication and networking technologies (ICCCNT), pp. 1-6. IEEE, 2020. https://doi.org/10.1109/ICCCNT49239.2020.9225642
33. Tapasy Rabeya, N. R. Chakraborty, S. Ferdous, M. Dash, Ahmed Al Marouf,” "Sentiment analysis of Bangla Song Review- A Lexicon Based Backtracking Approach", 2019 3rd IEEE International Conference on Electrical, Computer, Communication Technologies (ICECCT 2019), Coimbatore, India, 20-22 February, 2019. https://doi.org/10.1109/ICECCT.2019.8869290
34. M. R. Mia, S. Akhter Hossain, A. C. Chhoton and N. Ranjan Chakraborty, "A Comprehensive Study of Data Mining Techniques in Health-care, Medical, and Bioinformatics," 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Rajshahi, 2018, pp. 1-4. doi: 10.1109/IC4ME2.2018.8465626
35. Chakraborty, Narayan Ranjan; Thapa, Devinder; and Majchrzak, Tim A., "The Roles of Infomediaries in Crisis Response: The Case of 2017 Bangladesh Flood" (2018). Pacific Asia Conference of Information Systems (PACIS) 2018 Proceedings. 289, Yokohama, Japan, June 26-30, 2018 https://aisel.aisnet.org/pacis2018/289
36. Ben Lazreg, M., Ranjan Chakraborty, N., Stieglitz, S., Potthoff, T., Ross, B., & Majchrzak, T. (2018). Social Media Analysis in Crisis Situations: Can Social Media be a Reliable Information Source for Emergency Management Services? In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University. ISBN: 978-91-7753-876-9. http://aisel.aisnet.org/isd2014/proceedings2018/Transforming/6.
37. Ross, Björn Potthoff, Tobias Majchrzak, Tim A. Chakraborty, Narayan Ranjan Lazreg, Mehdi Ben Stieglitz, Stefan (2018). The Diffusion of Crisis-Related Communication on Social Media: An Empirical Analysis of Facebook Reactions. Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS). ISSN: 1530-1605. https://scholarspace.manoa.hawaii.edu/10.24251/HICSS.2018.319
38. A. C. Chhoton and N. R. Chakraborty, "Dual-axis solar tracking system-A comprehensive study: Bangladesh context," 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, 2017, pp. 421-426. https://doi.org/10.1109/ICAEE.2017.8255393
39. T. Rabeya, S. Ferdous, H. S. Ali and N. R. Chakraborty, "A survey on emotion detection: A lexicon-based backtracking approach for detecting emotion from Bengali text," 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, 2017, pp. 1-7. https://doi.org/10.1109/ICCITECHN.2017.8281855
40. N. R. Chakraborty, M. T. Rahman, M. E. Rahman and M. S. Uddin, "Generation and verification of digital signature with two-factor authentication," 2016 International Workshop on Computational Intelligence (IWCI), Dhaka, 2016, pp. 131-135. https://doi.org/10.1109/IWCI.2016.7860353
41. M. Hasan, M. A. Rahman and N. R. Chakraborty, "An empirical study on constructing the Bangla Dirukto Shobdo for Universal Networking Language (UNL)," 2015 18th International Conference on Computer and Information Technology (ICCIT), Dhaka, 2015, pp. 227-230. https://doi.org/10.1109/ICCITechn.2015.7488073

Cloud Computing, Big Data and IoT, Social Media Mining

1. Chancellor Gold Medal for outstanding academic achievements.
2. Comilla Education Board granted scholarship for S.S.C result
3. Comilla Education Board scholarship in Primary and Junior level.
4. Awarded by ICDDR,B for academic results from 1998 to 2001
5. Best Performer of the Year, 2018. Department of Computer Science and Engineering.

1.  The Institution of Engineers, Bangladesh. Membership No # (M/34771)