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Manipur Univ


Dr. Benaki Lairenjam,

Designation: Assistant Professor

Specialization: Artificial intelligence and Machine Learning, Datamining, Computational Mathematics

Contact: 9205080147

Email: bikilairen[AT]gmail.com

Ph.D. from Jamia Millia Islamia, New Delhi

Faculty Details Faculty List


Research Areas

Artificial intelligence and Machine Learning, Datamining, Computational Mathematics

 

Academic Qualifications

  • Ph.D. from Jamia Millia Islamia, New Delhi, awarded on12-5-2011.

  • M.Sc. Mathematics from Manipur University, India in the year 2005.

  • B.Sc. from Manipur University, India in the year 2003.

  • B.C.A from Bangalore University, India in the year 2004.

  • Two years Higher Diploma in software Engineering from Aptech Computer Education Imphal Center, India in the year 2003.

 

Resource Person Faculty Development program

  1. Resource Person 5 days Faculty Development Program on MATLAB SOFTWARE, organized by Department of Mathematics, REVA University from 17/08/2020-21/08/2020.

  2. Resource Person 8 days training program, organized by Department of Mathematics Dilla University, Ethiopia on “Basics of MATLAB and Developing MATLAB Program for Mathematical Problems and its Algorithm” from 06/02/2017-13/02/2017.

  3. Resource Person in one week short term training program STTP on “Research Methodology and tools” held on 18th to 23rd January 2021 Organized by School of Computer Science and Engineering, REVA University, Bangalore, Karnataka.

 

Conference/Workshop Attended

  • Attended International Conference on “Current Trends in mathematics” organized by Department of Mathematics Jamia Millia Islamia, New Delhi in 2009 and delivered a talk on “Association rule mining in medical datasets”.

  • Attended Interdisciplinary Science Conference – 2009 organized by Centre for Interdisciplinary Research in Basic Sciences, JMI New Delhi, India dated October 8,2009.

  • Attended International Conference on “Recent Advances in Applied Sciences (ICRAAS-2019)” organized by School of Applied Sciences, REVA University, Bangalore, 17th-18th October 2019.

  • Attended Inspire: REVA Women’s Convention-2020 on the theme “Women and Wellness” organized by UNNATHI- Women’s Forum, REVA University on 22nd February 2020 and delivered a talk on “Breast Cancer Detection using Artificial Intelligence”.

  • Organizing Committee member in the national level technical Symposium “PHOTON-2019”, organized by the Department of Basic Sciences & Humanities at MITS 15th April 2019.

  • Attended International Conference on “Recent Trends in Applied and Computational Mathematics”, organized by School of Applied Sciences, Department of Mathematics, REVA University, Bangalore, 4th-5th December 2020 and delivered a talk on “Classification of COVID-19 using Deep Neural Network”.

  • Attended International Conference on “ Recent Trends in Applied and Computational Mathematics”, organized by School of Applied Sciences, Department of Mathematics, REVA University, Bangalore, 4th-5th December 2020 and delivered a talk on “Solution of Inverse Problem of Electrocardiography using Radial Basis Function”.

 

Paper Published

  • Benaki Lairenjam and Siri Krishan Wasan, “Neural Network with Classification Based on Multiple Association Rule for Classifying Mammographic Data” Proc. Intelligent data engineering and automated learning, IDEAL2009, LNCS, VOL. 5788, pages 465-476. (SCI) ISBN: 978-3-642-04394-9

  • Benaki Lairenjam and Siri Krishan Wasan, “Naïve Bayes Associative Classification of Mammographic Data”, Proc. International conference on education and network technology, ICENT 2010, IEEE, pages 276-281. (SCI) ISBN: 9781424476602

  • Benaki Lairenjam and Siri Krishan Wasan, “A note on Analysis of Mammography Data” International Journal of Open Problems in Computer Science and Mathematics (IJOPCM), ISSSN: 1998-6262 Vol. 3. No. 5, pages 39- 48.

  • Benaki Lairenjam and Yengkhom Satyendra Singh, “Hybrid Neural Network Approach for Classifying Mammography Data" International Journal of Data Mining Techniques and Applications, ISSN:2278- 2419 , Volume 4 Issue1pages 499-505.

  • Yengkhom Satyendra Singh, Mohd. Rais Khan and Benaki Lairenjam, “Minimal Quasi-absorbent in Groupoid-lattice II,” Mathematica Aeterna, Vol.5, 2015, no.3, 465-469, ISSN1314-3344.

  • Benaki Lairenjam, Yengkhom Satyendra Singh, Minimal Quasi- Γ-absorbent in Γ-groupoid lattice, IJISET, ISSN: 2348-7968, Volume 6 Issue 3, 2018, PP. 94-97. (ISI)

  • Yengkhom Satyendra Singh; Benaki Lairenjam “Groebner Basis and its Applications”. International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 – 8958, 2019, 9(1), pp. 1092–1097 (Scopus).

  • Yengkhom Satyendra Singh; Benaki Lairenjam “A review on Groebner Basis and its Applications” International Journal of Scientific and Technology Research, ISSN:  2277-8616,  2019, 8(8), pp. 125–130 (Scopus)

  • Benaki Lairenjam and Yengkhom Satyendra Singh, Inverse Problem in Electrocadriography, International Journal of Engineering and Technology (UAE), ISSN: 2227-524X , 7 (4) (2018) 4819-4822.(Scopus)

  • Benaki Lairenjam and Yengkhom Satyendra Singh, “Diagnosis of Breast cancer from Mammographic Image using Artificial Neural Network”, IJISET, Vol. 7, 2020, pp. 163-170, ISSN: 2348-7968. (UGC)

  • Yengkhom Satyendra Singh and Benaki Lairenjam, “Singular Value decomposition and its Applications”, JETIR, ISSN: 2349-5162, Vol. 7, 2020, pp. 180-182. (UGC)

  • Benaki Lairenjam and Yengkhom Satyendra Singh, “Classification of breast cancer Mammography data”, PJM, ISSN: 2219-5688, Vol. 10(Special Issue I), 2021, pages 135-139.(Scopus)

  •  Benaki Lairenjam and Yengkhom Satyendra Singh, “Classification of Covid-19 using Deep Neural Network” IJONS, ISSN: 0976 – 0997 Vol. 12, 2021, pp. 35975-35980. (SCI)

  • Benaki Lairenjam and Yengkhom Satyendra Singh, “Gaussian Radial Basis Function for Solving a Parabolic Partial Differential Equation”, IJISET, Vol. 8, 2021, pp. 71-77, ISSN: 2348-7968. (UGC)

  • Benaki Lairenjam and Yengkhom Satyendra Singh, “Solution of Inverse Problem of Electrocardiography using Radial Basis Function”. (Communicated).

  • Yengkhom Satyendra Singh and Benaki Lairenjam, “A note on SVD and QR-decomposition”, JETIR, Vol. 9, 2022, pp. 215-218.

 

Academic Achievements

  • Successfully Completed Coursera course on “Mathematics for Machine Learning: Multivariate Calculus” Imperial College London.

  • Successfully Completed Coursera course on “Understanding Deepfakes with Keras”

 

Workshop/FDP Attended

  • Successfully Completed a hands on Workshop on AI and Deep Learning, held on 21st-23th June 2018, Organized by Leading India and Team.

  • Attended a two day workshop on “Recent Advances in Fluid Dynamics and its Applications in Science and Technology”, held on 25-26 may 2018 organized by the department of mathematics MITS college, Madanapalle, AP.

  • Successfully Completed Workshop on “Teaching Skills” held on 03/12/2019 at REVA University, Bangalore.

  • Participated in National level one week (5 days) online Faculty development Program on ICT Tools for online Teaching and Assessment held on 23rd to 27th June 2020.

  • Successfully Completed “Two weeks online Faculty Development Program on Machine Learning for Computer Vision ”organized by Electronics and ICT Academies during June 29 - July 8, 2020 under the “Scheme of financial assistance for setting up of Electronics and ICT Academies” of the Ministry of Electronics and Information Technology (MeitY), Government of India.

  • Participated in one day Faculty Development Program 0n “E-Content Development for Blended Learning” on 25th July 2020, Organized by Basic Science and Humanities-Department of Mathematics, New Horizon College of Engineering, Bangaluru.

  • Participated Two Days Workshop on “The Craft Of Research” organized by the Department of Mathematics, SRMIST, Ramapuram, Chennai - 600089 on 02.07.2020 & 03.07.2020

  • Participated in One week Education Program on “Big Image Data Processing using Deep Learning Techniques” organized by the Department of Computer Science & Engineering in association with Centre for Continuing Education, National Institute of Technology Warangal, during 27th-31st July, 2020”.

  • Successfully completed Faculty Development Program on Python 3.4.3 on 2020-09-28 organized by REVA University, Bangalore with course material provided by Spoken Tutorial Project, IIT Bombay.

  • Participated in 5 days in Virtual Workshop Faculty Development Program on A-Hands on Python Programming workshop for mathematics held from 17thMay to 21stMay 2021, organized by department of mathematics REVA University.