Dr. Ankur Priyadarshi
Assistant professor, Head of Department,
Department of Computer Science
9176259166 | [email protected]
Qualifications
| B.E. (Computer Science and Engineering), Sathyabama University |
| M.Tech (Computer Science and Engineering), BIT Mesra, Ranchi |
| Ph.D. (Artificial Intelligence and Machine Learning), BIT Mesra, Ranchi |
Subject Expertise
| C and C++ Programming |
| Python |
| Data Structures |
| Computer Networks |
| Artificial Intelligence and Machine Learning |
| Natural Language Processing |
| Operating System |
Area Of Research
| Artificial Intelligence |
| Natural Language Processing |
| Health Informatics |
| Text and Speech Processing |
| Image Processing Using Matlab |
Professional Experience
| Assistant Professor at C.V. Raman Global University, Bhubaneswar (1.6 Years) |
Projects Executed
| Junior Research Fellow (JRF), SERB-DST Project, (2 Years), BIT Mesra, Ranchi |
| Senior Research Fellow (SRF), SERB-DST Project, (1 Year), BIT Mesra, Ranchi |
List Of Publications
| Ankur Priyadarshi and Sujan Kumar Saha (2021). The First Named Entity Recognizer In Maithili: Resource Creation and System Development. Journal of Intelligent and Fuzzy Systems, Vol. 41, no. 1, pp. 1083-1095. DOI: https://doi.org/10.3233/JIFS-210051 (SCI, Impact Factor: 1.851) |
| Ankur Priyadarshi and Sujan Kumar Saha. (2020) Towards the First Maithili Part of Speech Tagger: Resource Creation and System Development. Computer Speech & Language Elsevier, Vol. 62 (2020) 101054. DOI: https://doi.org/10.1016/j.csl.2019.101054 (SCI, Impact Factor: 2.116) |
| Ankur Priyadarshi and Sujan Kumar Saha. 2022. A study on the performance of Recurrent Neural Based Maithili Parts of Speech Tagging, ACM Transactions on Asian and Low-Resource Language Information Processing (SCI, ACM Transaction, Impact Factor: 1.413) |
| Ankur Priyadarshi and Sujan Kumar Saha. (2020) Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy. Network Modelling Analysis in Health Informatics and Bioinformatics, Vol. 9 (2020), DOI: https://doi.org/10.1007/s13721-019-0216-2 (SCOPUS, Springer (Unpaid)) |
| Ankur Priyadarshi (2019). Segmentation of Different Tissues of Brain from MR Image. In Interdisciplinary Approaches to Information Systems and Software Engineering (pp. 142-180). IGI Global. DOI: https://doi.org/10.4018/978-1-5225-7784-3 (Book Chapter, IGI Global) |
Conference Attended (National/International)
| Ankur Priyadarshi and Sujan Kumar Saha. (2019) A Hybrid Approach to Develop the First Stemmer in Maithili. In Proceedings of the 11th Forum for Information Retrieval Evaluation (FIRE '19). Association for Computing Machinery, New York, NY, USA, 42–46. DOI: https://doi.org/10.1145/3368567.3368581 (Conference, ACM) |
| Ankur Priyadarshi and Sujan Kumar Saha. 2019. A study on the Importance of Linguistic Suffixes in Maithili POS Tagger Development. MIKE 2019: Seventh International Conference on Mining Intelligence and Knowledge Exploration. 19-22 December, NIT Goa. (Conference, LNCS- Springer) |
| Ankur Priyadarshi, D. Choudhary and Chandu P.M.S.S (2015). Cost-Effective Authentic Unexceptional Data Sharing With Forward Security In Cloud Computing. International Conference on Electrical, Electronics, and Computer Engineering (ICEECE-15) Vivekanandha College of Engineering for Women. (Conference, ISI/Scopus Indexed Journals Publication), ISBN:978-93-81830-95-6 |
| Pinakshi Panda and Ankur Priyadarshi. 2022. RFE-ACO-RF: An approach for Cancer Microarray Data Diagnosis, 4th International Conference on Emerging Smart Computing and Informatics (ESCI), IEEE Xplore. (IEEE Xplore Conference) |
| Santosh K. Sharma, Srikanth K. Mohapatra, Ankur Priyadarshi and Prakash Kumar Sarangi. 2021. SVM Classifier Based Prediction for Diabetes Disease, 3rd Innovative product design and intelligent manufacturing systems (IPDIMS 2021), NIT Rourkela, Springer Lecture Notes (Conference, Springer SCOPUS) |
| Santosh K. Sharma, Ankur Priyadarshi, Srikanth K. Mohapatra, Jitesh Pradhan and Prakash Kumar Sarangi. 2022. Comparative Analysis of different classifiers using Machine Learning algorithm for Diabetes Mellitus, International Conference on Metaheuristics in Software Engineering and its Applications (METASOFT 2022), Siksha 'O' Anusandhan (SOA) University, Bhubaneswar (Conference, Springer, Book Series, Artificial Intelligence-enhanced Software and Systems Engineering ) |
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