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Dr. Arpita Nath Boruah

Dr. Arpita Nath Boruah

About

Specialization:
Machine Learning, Artificial Intelligence, Data Mining, Data Science

Qualification

SL No

Degree

Institute

1

PhD (Computer Science & Engineering)

NIT Silchar, Assam

2

MTech (Computer Science & Engineering)

NERIST, Nirjuli, Itanagar, Arunachal Pradesh

3

B.E (Computer Science & Engineering)

Jorhat Engineering College, Assam

Personal Interest

Crafting

Working Experience

1

Assistant Professor (April 2023- Till Date) in the Department of Computer Science and Engineering, Assam down town University, Guwahati, Assam 

2

Assistant Professor (August 2022- April 2023) in the Department of Computer Science and Engineering, Alliance University, Bengaluru, Karnataka 

3

Assistant Professor (April 2017 – February 2018 ) in the Department of Computer Science and Engineering, Barak Valley Engineering College, Karimganj, Assam 

Research

Journal Publications:

  1. Arpita Nath Boruah, S. K. Biswas, S. Bandyopadhyay, “Rule extraction from Decision Tree: Transparent Expert System of Rules (TESR)”,Concurrency and Computation: Practice and Experience, 2022 https://doi.org/10.1002/cpe.6935 (Wiley, SCIE indexed)
  2. Arpita Nath Boruah, S. K. Biswas, S. Bandyopadhyay, “Transparent rule generator random forest (TRG-RF): an interpretable random forest”, Evolving Systems, 2022. DOI: 10.1007/s12530-022-09434-4 (Springer, SCIE indexed)
  3. S. K. Biswas, Arpita  Nath Boruah, R. Saha, R. S. Raj, M. Chakraborty & M. Bordoloi, “Early detection of Parkinson disease using stacking ensemble method”, Computer Methods in Biomechanics and Biomedical Engineering, 2022. DOI: 10.1080/10255842.2022.2072683
  4. A. K. Verma, S. K. Biswas, M. Chakraborty, Arpita Nath Boruah, “A transparent machine learning algorithm to manage diabetes: TDMSML”, Advances in Computational Intelligence, 2023. DOI: https://doi.org/10.1007/s43674-022-00051-x

Conference Publications:

  1. Arpita Nath Boruah, S. Kumar Biswas, S. Bandyopadhyay and S. Sarkar, "Expert System to Manage Parkinson Disease by Identifying Risk Factors: TD-Rules-PD," 2020 International Conference on Computational Performance Evaluation (ComPE), 2020, pp. 001-006, doi: 10.1109/ComPE49325.2020.9200075.
  2. Arpita Nath Boruah, S. K. Biswas, S. Bandyopadhyay and S. Sarkar, "An Expert System for Identification of Key Factors of Parkinson's Disease: B-TDS-PD," 2020 IEEE India Council International Subsections Conference (INDISCON), 2020, pp. 37-42, doi: 10.1109/INDISCON50162.2020.00020.
  3. A. Dattachaudhuri, S. K. Biswas, S. Sarkar, Arpita Nath Boruah, M. Chakraborty and B. Purkayastha, “Transparent Neural based Expert System for Credit Risk (TNESCR): An Automated Credit Risk Evaluation System”,  2020 International Conference on Computational Performance Evaluation (ComPE), 2020, pp. 013-017, doi: 10.1109/ComPE49325.2020.9199998.
  4. A. Dattachaudhuri, S. Biswas, S. Sarkar and Arpita Nath Boruah, "Transparent Decision Support System for Credit Risk Evaluation: An automated credit approval system," 2020 IEEE-HYDCON, 2020, pp. 1-5, doi: 10.1109/HYDCON48903.2020.9242905.
  5. Arpita  Nath Boruah, S. K. Biswas, P. Baishya and D. C. Ealapollu, "Expert System for Dengue Fever Prediction (ESDFP)," 2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), 2021, pp. 1-4, doi: 10.1109/TEMSMET53515.2021.9768723.
  6. R. Paul, S. K. Biswas, Arpita Nath Boruah, A. K. Das, S. Reshmi and B. Purkayastha, "Expert System for Breast Cancer Prediction using Ensemble Learning," 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 2022, pp. 113-118, doi: 10.1109/COM-IT-CON54601.2022.9850678.
  7. S. K. Rana, Arpita Nath Boruah, S. K. Biswas, M. Chakraborty and B. Purkayastha, "Dengue Fever Prediction using Machine Learning Analytics," 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 2022, pp. 126-130, doi: 10.1109/COM-IT-CON54601.2022.9850923.
  8. S. Reshmi, S. K. Biswas, Arpita Nath Boruah, D. M. Thounaojam and B. Purkayastha, "Diabetes Prediction Using Machine Learning Analytics," 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 2022, pp. 108-112, doi: 10.1109/COM-IT-CON54601.2022.9850922.
  9. D. Tripathi, S. k. Biswas, S. Reshmi, Arpita Nath Boruah and B. Purkayastha, "Diabetes Prediction Using Machine Learning Analytics: Ensemble Learning Techniques," 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Ravet, India, 2022, pp. 1-7, doi: 10.1109/ASIANCON55314.2022.9908975.
  10. Arpita Nath Boruah, S. Debnath, S. K. Biswas, “A Transparent  Rule-Based System for Parkinson’s Disease Management”, IEEE International Conference on Futuristic Technologies (INCOFT-2022) , Belgaum, India, 2022, pp. 1-5, doi: 10.1109/INCOFT55651.2022.10094332.
  11. A. R. Medha, S. K. Biswas, M. Gupta, Arpita  Nath Boruah, R. Kumar, V. Verma and B. Purkayastha, “Current-best Particle Swarm Optimization”, IEEE IATMSI-2022, ABV-IIITM Gwalior, India. (Accepted and Presented)

Book Chapters:

  1. Arpita Nath Boruah, S. K. Biswas, S. Bandyopadhyay, S. Sarkar, “A Balanced Expert System to Manage Parkinson Disease by Identifying Major Risk Factors: B-TESM-PD”, In Electronic Systems and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 686. Springer, Singapore. https://doi.org/10.1007/978-981-15-7031-5_99
  2. B. Doley, Arpita Nath Boruah, S. Rahman, S. K. Biswas, M. Chakraborty, S. Sarkar and B. Purkayastha, “An Improvised Particle Swarm Optimization using Balanced Local Best”, In Intelligent Computing and Communication Systems. Algorithms for Intelligent Systems. Springer, Singapore.  https://doi.org/10.1007/978-981-16-1295-4_42

Awards & Achievements

  1. Participated in the Five Days Online International Faculty Development Program on Recent Trends in Composites from January 2-6, 2023 organized by Department of Mechanical Engineering, Alliance College of Engineering and Design, Alliance University.
  2. Participated in two-day International Congress on “Metaverse and its Applications and Startup Expo” Organized by the Department of Computer Science and Engineering- Information Technology, Alliance College of Engineering and Design, Alliance University, 5th and 6th December 2022.
  3. Participated in the workshop on “Nuts and Bolts of Machine learning model: Theory and Practical with Python” organized by department of Computer Science and Engineering (AI and ML), Institute of Aeronautical Engineering during 20th to 26th May, 2021.
  4. Journal Citation Report (JCR) - South Asia Training and Certification Program 2020.
  5. Participated in Poster presentation in Anveshan 2.0Student Research Conclave held at NIT Silchar during 10th – 12th January, 2020.
  6. Participated in the workshop on “Deep Learning Techniques and Tools: An Academic and Industrial Approach” organized by Computer Science and Engineering Department, NIT Silchar during 8th to12th April, 2019.
  7. Attended the workshop on “Recent Research Trends & Future Perspective of Machine Learning in Academics and Industry” organized by Dept. of CSE, National Institute of Technology (NIT) Silchar and GUIST, Guwahati, Assam. 01-05 October, 2018.
  8. Participated in the workshop on “Data Analytics with Machine Learning Techniques” organized by Dept. of CSE, National Institute of Technology (NIT) Silchar
  9. Participated in the workshop “Enterprise Resource Planning” conducted by COERP Consultancy Services
  10. Received NEC Scholarship during B.E level from North Eastern Council, Govt. of India (2009-2013)