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PROFILE

Ms. Asha Unnikrishnan

DEPARTMENT OF COMPUTER SCIENCE (Self Financing)

  • DESIGNATION
    Head of the Department
  • Mobile
    9497643079
  • E-MAIL
    asha.nkk@gmail.com
  • EXPERIENCE
    16 Years
  • QUALIFICATION
    MCA, MPhil
  • AREA OF INTEREST
    Data Mining, Machine Learning, Deep Learning
  • ADDRESS
    Niyathi ,AKVK Road, Kovoor,Kozhikode.
FACULTY DETAILS

 

Passionate in teaching with expertise in Data Mining and Machine Learning, aiming to inspire and educate students through innovative teaching methods and practical applications of advanced computational technologies. Aim to become a valued member of a Productive Team where I will have the opportunity for advancement through my own performance and commitment.
Work Experience
16 + years of   Teaching experience.
Working as Assistant Professor at St.joseph’s College (Autonomous), Devagiri, Calicut (June 2014 to present)
Worked as Assistant Professor at  AWH Engineering College ,Calicut, Kerala
 Worked as Assistant Professor at National Institute of Electronics and Information Technology (NIELIT), Calicut, Kerala
Educational Qualifications
Pursuing PhD from Bharathiar University, Coimbatore
Mphil from Bharathiar University, Coimbatore 
MCA from Madurai Kamaraj University 

Research Activities

Journal Publication
  1. “E Learning :An individual Learning perspective :An Analysis” in National Conference on Expertising Network Infrastructure and Administration Concepts for the Academic Fraternity (ENIAC 2016)
  1. Biosearch: A Domain specific Energy Efficient Query processing and Search Optimization in Health care Search Engine in Jounal of Network Communication and Emerging Technologies(JNCET) Volume 8,Issue1 2018
  1. A Survey on Effective Query Processing Techniques in Web Search Engines In Journal of Network Communications and Emerging Technologies (JNCET), Volume-7, Issue-9, September (2017).
  1. “A systematic Survey on the Application of different Datamining and Machine Learning Algorithms in Healthcare Sector for Disease Diagnosis” International Jounal of Advanced Research Trends in Engineering and Technology (IJARTET) ISSN 2394-3777(Print) ISSN 2394-3785(Online)
  1. Design Prediction of Air Quality Index using Time Series Forecasting with Improved Light GBM in Design Engineering ISSN: 0011-9342 | Year 2021 Issue: 9 | Pages: 8679-8693
  1. Optimal Prediction of Air Quality Index in Metropolitan Cities Using Fuzzy Time Series with Deep Learning Approach in Ecological Engineering & Environmental Technology 2024, 25(1), 341–359 https://doi.org/10.12912/27197050/175720 ISSN 2719-7050, License CC-BY 4.0
  1. “An Effective Machine Learning Approach For the Prediction of Air Quality Index in Metropolitan Cities” in  Conference Proceeding “ International Conference in Innovative Techniques in Contemporary Technologies (ICITCT 2023)        
  2. “Predicting Air pollution in advance using Feed Forward Neural Networks:A Case Study on Delhi”  International Journal of Engineering Technology and Management Sciences (IJETMS) Vol 07 Issue 06 Nov-Dec 2023 DOI 10.46647/ijetms.2023.v07i06.050 ISSN:2581-4621
  1. “Predicting Air Quality Index using Hybrid Deep Learning Models” in Journal of Maharaja Sayajirao University of Baroda Volume 57, No.1(XII) 2023 ISSN:0025-0422      
Book Publication 
                                                         
  1. Advanced Machine Learning  Publisher: Amazon KDP
Paper Presentation             
  1. “E Learning :An individual Learning perspective :An Analysis” in National Conference on Expertising Network Infrastructure and Administration Concepts for the Academic Fraternity (ENIAC 2016)
  2. “A systematic Survey on the Application of different Datamining and Machine Learning Algorithms in Healthcare Sector for Disease Diagnosis”     in “International Conference on advance Modern Computing Trends and Technology (ICAMCTT 2021)
  3. “Predicting Air pollution in advance using Feed Forward Neural Networks: A Case Study on Delhi”  in International Conference on Recent Trends in Commerce Management Science and Engineering (ICCMSE 2023)
  4. “An Effective Machine Learning Approach For the Prediction of Air Quality Index in Metropolitan Cities” in “ International Conference in Innovative Techniques in Contemporary Technologies (ICITCT 2023)                                
National/International conference attended 
  1. National Conference on Expertising Network Infrastructure and Administration Concepts for the Academic Fraternity (ENIAC 2016)
  2. International Conference on advance Modern Computing Trends and   Technology (ICAMCTT 2021)
  3. International Conference on Recent Trends in Commerce Management Science and Engineering (ICCMSE 2023)
  4. International Conference in Innovative Techniques in Contemporary Technologies (ICITCT 2023) 

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