PhD in Computer Science and Engineering from NIT Silchar
M.Tech in Information Technology from Tezpur University
B.Tech in Computer Science and Engineering from Tezpur University
Experience
Worked as Junior Research Fellow (JRF) in the MHRD sponsored Centre of Excellence under FAST Project entitled “Machine Learning Research and big Data Analysis” in the Department of Computer Science Engineering at Tezpur University from September 2016 to July 2017.
Career Highlights & Awards:
Qualified All India Engineering Entrance Examination (AIEEE) in 2012 in All India level.
Secured First position in March Past Competition in the XVIII Annual Meet 2013-2014 at Tezpur University.
Secured Second position in Debate competition in Techxetra 2014 at Tezpur University.
Qualified for Assistant Professor in the CBSE-UGC NET July 2018
Received Ministry of Human Resource Development Assistantship from the Government of India during July 2019 - December 2023 while pursuing PhD from National Institute of Technology Silchar, Assam.
Industrial Training/Workshops:
Participated in the webinar on the topic “Artificial Intelligence: A Skill Needed in 2022 and Beyond ” organized by the Department of CSE, School of Engineering and Technology and School of Computing Sciences, the Assam Kaziranga University on 30th July 2020.
Participated in 2nd International Conference on Big Data, Machine Learning and Applications (BigDML 2021) held during 19-20, December 2021 organized by Department of Computer Science and Engineering, National Institute of Technology Silchar, India.
Attended two-weeks Faculty Development Program on “Machine Learning and Computer Vision” jointly organized by electronics and ICT Academics at IIT Guwahati, IIT Kanpur, MNIT Jaipur, MNIT Patna and PDPM IIITDM Jabalpur during February 1-12 2021 under the scheme of Financial Assistance for setting up of Electronics and ICT academics of the Ministry of Academics and Information Technology (MeitY), Government of India.
Participated in the SERB-KARYASHALA sponsored one-week High End Workshop on Explainable AI: Theoretical Insights and Engineering Applications organized by the Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam from 3rd - 9th July 2023.
Participated in the SERB Sponsored One Week High End Workshop (Karyashala) on Hands-On Training on Computational Intelligence for Health informatics and Wearable Device Data Analysis (Under the Aggregate Vigyan Scheme) organized by the Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam from 24th -30th July 2023
Publication and Books
Journal Publications:
Prarthana Dutta, Naresh Babu Muppalaneni, “DigiNet: Prediction of Assamese handwritten Digits using Convolutional Neural Network”, Concurrency and Computation: Practice and experience, 2021. [SCIE]
Prarthana Dutta, Naresh Babu Muppalaneni, “A Top-Down Character Segmentation Approachfor Assamese and Telugu Handwritten Documents”, Journal of Ambient Intelligence andHumanized Computing, (2024): 1-13. [SCOPUS]
International Conference Publications:
Prarthana Dutta and Naresh Babu Muppalaneni, “Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey”, in: World Conference in Artificial Intelligence: Advances and Applications (WCAIAA23) [SCOPUS]
Prarthana Dutta and Naresh Babu Muppalaneni, “Datasets in OCR for handwriting Recognition: A Survey”, in 2023 4th International Conference on Computing and Communication Systems (I3CS), pp. 1-8, IEEE, 2023. [SCOPUS]
Prarthana Dutta and Naresh Babu Muppalaneni, “Explaining Machine Learning Predictions: A Case Study”, in 2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON), pp. 72-77, IEEE, 2022. [SCOPUS]
Prarthana Dutta and Naresh Babu Muppalaneni, “A Survey on Image Segmentation for Handwriting Recognition”, in: Third International Conference on Image Processing and Capsule Networks: ICIPCN 2022, pp. 491-506, Cham: Springer International Publishing, 2022. [SCOPUS]
Book Chapter:
Prarthana Dutta, Naresh Babu Muppalaneni and Ripon Patgiri “A survey on explainability in artificial intelligence”, in Handbook of Research on Advances in Data Analytics and Complex Communication Networks 2022., pp. 55-75, IGI global.
Prarthana Dutta, Naresh Babu Muppalaneni, March 5, 2024, ”AsTel (Offline Assamese and Telugu Handwritten Characters)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/gn0b-de42
Prarthana Dutta, Naresh Babu Muppalaneni, February 29, 2024, ”Assamese and Telugu Handwritten Text Dataset”, IEEE Dataport, doi: https://dx.doi.org/10.21227/3ycm-px23
Reviewer:
Reviewer at the 2nd International Conference on Intelligent Computing Systems and Applications (ICICSA 2023), organized by Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam, India during September 22-23, 2023.
Reviewer at the International Conference on Intelligent Computing Systems and Applications (ICICSA 2022), organized In-person and Online (Hybrid mode) by Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam, India during September 23-24, 2022.
