JOURNAL PUBLICATIONS

1. 1. Md Manjurul Ahsan, Kishor Datta Gupta, Moham- mad Maminur Islam, Sajib Sen, Md. Lutfar Rahman,    and Mohammad Shakhawat Hossain. COVID-19 symptoms detection based on NasNetMobile with explainable AI using various imaging modalities. Machine Learning and Knowledge Extraction, 2(4):490–504, oct 2020. Topic: Computer Vision, Machine Learning, Algorithm Bias, Explainable AI
   2. Ahsan, Md M.; Li, Yueqing; Zhang, Jing; Ahad, Md T.; Gupta, Kishor D. 2021. “Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions” Technologies 9, no. 2: 31. https://doi.org/10.3390/technologies9020031 Topic: Computer Vision, Machine Learning, Algorithm Bias
   3. AAhsan, M. M., Gupta, K. D., Nag, A. K., Pouydal,  ,  Kouzani,  A.  Z.,  Mahmud,  M.  P.  (2020).  Applications and Evaluations of Bio-Inspired approaches in Cloud Security: A  Review.  IEEE  Access.  Topic: Nature Inspired Algorithm, Evolutionary Computation, Information Security
   4. Dipankar Dasgupta, John M Shrein, and Kishor Datta Gupta. A survey of blockchain from security perspective. Journal of Banking and Financial Technology, 3(1):1–17, .Topic: Information Security, Blockchain
   5. Kishor Datta Gupta, Stefan Andrei, Manjurul Ahsan, and KMR A Robust Approach of Facial Orientation Recognition from Facial Features. BRAIN. Broad Research in Artificial Intelligence and Neuroscience 8.3 (2017): 5-12., First Author, Topic: Computer Vision, Algorithm
   6. Kishor Datta Gupta, Stefan Andrei, and Manjurul Ahsan. Extending the Storage Capacity And Noise Reduction of a Faster QR-Code. BRAIN. Broad Research in Artificial Intelligence and Neuroscience 9.1 (2018): 59-71., First Author, Topic: Computer Vision, Algorithm
   7. Kishor Datta Gupta, Stefan Andrei, and Manjurul Ahsan. Solving qr code distortions using a recursive-based back-tracking algorithm. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 10(2):14–25, 2019. First Author, Topic: Computer Vision, Algorithm
   8. Kishor Datta Gupta and Sajib A genetic algorithm approach to regenerate image from a reduce scaled image using bit data count. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 9(2):34–44, 2018.First Author, Topic: Computer Vision, Algorithm

CONFERENCE PUBLICATIONS

1. 1. Kishor Datta Gupta and Dipankar Dasgupta. “Using Negative Detectors for Identifying Adversarial Data Manipulation in Machine Learning” Conference: “2021 International Joint Conference on Neural Network (IJCNN), IEEE”
   2. Khan, A., Gupta, K. D., Venugopal, , Kumar, N.  (2020,  July).  Cidmp:  Completely  interpretable detection of malaria parasite in red blood cells using lower-dimensional feature space. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
   3. Kishor Datta Gupta, Dipankar Dasgupta, and Zahid Akhtar. Applicability issues of evasion-based adver- sarial attacks and mitigation techniques. In 2020 IEEE Sympo- sium Series on Computational Intelligence (SSCI). IEEE, dec 2020. First Author
   4. Gupta, K. D., Rahman, M. L., Dasgupta, D., Poudyal, S. (2020, January). Shamir’s Secret Sharing for Authentication without Reconstructing Password. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0958-0963). IEEE.First Author
   5. D. Gupta, A. Rahman, S. Poudyal, M.N. Huda, and M.A.P. Mahmud. A hybrid pow-pos implementation against 51 percent attack in cryptocurrency system. Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, 2019- December:396–403, 2019. First Author
   6. Kishor Datta Gupta, Dipankar Dasgupta,  and Sajib   Smart crowdsourcing based content review sys-   tem (sccrs): An approach to improve trustworthiness of online contents. In International Conference on Computational Social Networks, pages 523–535. Springer, 2018.First Author, Best paper award.
   7. Kishor Datta Gupta, Dipankar Dasgupta, and Zahid Akhtar. Adversarial Input Detection Using Image Processing Techniques (IPT) Conference: The 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020, First Author
   8. Sadman, Nafiz, et al. ”Detect review manipulation by leveraging reviewer historical stylometrics in amazon, yelp, facebook and google reviews.” Proceedings of the 2020 The 6th International Conference on E-Business and Applications. 2020. Best
   9. Gupta, K. D., Rahman, M. L., Dasgupta, D., Poudyal, S. (2020, January). Shamir’s Secret Sharing for Authentication without Reconstructing Password. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0958-0963).
   10. Nafiz Sadman, Sumaiya Tasneem, Ariful Haque, Md Maminur Islam, Md Manjurul Ahsan, and Kishor Datta Gupta. “can NLP techniques be utilized as a reliable tool for medical science?” – building a NLP framework to classify medical In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, nov 2020. Best paper award.
   11. Sen, S., Dasgupta, D., Gupta, K. D. (2020, July). An empirical study on algorithmic bias. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1189-1194).
   12. N Sadman, N Anjum, KD Gupta, MAP Mahmud, Understanding the pandemic through mining covid news using Natural Language Processing, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) At: Lasvegas, NV, USA
   13. N Sadman, MH Rahman, S Tasneem, MA Haque, KD Gupta, Recommend Speciality Doctor from Health Transcription: Ensemble Machine Learning Approach, 2021 IEEE 11th Annual Computing and Communi- cation Workshop and Conference (CCWC)At: Lasvegas, NV, USA
   14. Sadman, K. Datta Gupta, M.A. Haque, S. Sen, and S. Poudyal. Stylometry as a reliable method for fallback authentication. 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020, pages 660–664, 2020.
   15. Subash Poudyal, Dipankar Dasgupta, Zahid Akhtar, K Gupta. A multi-level ransomware detection frame- work using natural language processing and machine learning. 14th International Conference on Malicious and Unwanted Software”. MALCON.
   16. Poudyal, S., Akhtar, Z., Dasgupta, D., Gupta, K. D. (2019, December). Malware analytics: review of data mining, machine learning and big data perspectives. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 649-656).
   17. S Poudyal, KD Gupta, S Sen, PEFile Analysis: A Static Approach To Ransomware Analysis, The International Journal of Forensic Computer Science, Chapter: 14 ,Publisher: IJoFCS, 2019