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People
Muhammed Niyas K P

Muhammed Niyas K P Email-ID: niyas@rajagiri.edu

<p><span style="color:null"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif"><span style="background-color:#fbfbfb">With a Ph. D in Computer Science (Machine Learning and Big Data) from Central University of Tamil Nadu, India and a Master of Science in Computer Science (Artificial Intelligence Systems) from Central University of Kerala, he is an expert in the Artificial Intelligence technologies that impact the modern-day businesses. Prior to joining Rajagiri Business School, he was working with Narsee Monjee Institute of Management Studies Hyderabad under the School of Business Management as the Assistant Professor of Information Technology. His research interests include Machine Learning Systems, applied data analytics to solve real world business problems in high stake domains, Technology Marketing with Artificial Intelligencea</span></span></span></span></p>

Educational Qualification

  • Ph. D Computer Science from Central University of Tamil Nadu (Department of Computer Science)
  • M.Sc Computer Science (Intelligent Systems) from Central University of Kerala (Department of Computer Science)
  • B. Sc Computer Science from Sullamussalam Science College, Areacode (Department of Computer Science)

Work Experience (Research /Teaching)

  • Assistant Professor (Information Technology and System) School of Business Management, Narsee Monjee Institute of Management Studies, Hyderabad
  • Assistant Professor (Computer Science) Noble Women’s College, Manjery, Kerala

Area of Interest (Research /Teaching)

  • Machine Learning Systems (Python and R)
  • Big Data and Business Intelligence
  • Artificial Intelligence
  • Digital Marketing Analytics
  • Business Analytics
  • Visual Analytics (Tableau, Power BI)
  • Decision Support Systems

Journal Publication

  • Muhammed Niyas K. P, Thiyagarajan P. (2024) Improving Dementia Prediction using Ensemble Majority Voting Classifier,  Annals of Data Science,  Scopus Q2
  • Muhammed Niyas K. P, Thiyagarajan P.(2024) Knowledge and Information Systems, Improving Alzheimer’s Classification Using a Modified Borda Count Voting Method on Dynamic Ensemble of Classifier Selection Algorithms, , Scopus Q1 and ABDC-C
  • Nithya M, Muhammed Niyas K. P. (2024) Journal of Current Issues and Research in Advertising ,Brand Activistic Videos on Youtube: The Effectiveness of Character Facial Emotions and LGBTQ Focus on Popularity, Johnson Clement  Scopus Q1 and ABDC-B
  • Muhammed Niyas K. P, Thiyagarajan P (2023) A Systematic Review on Early Prediction of Mild Cognitive Impairment to Alzheimers Converters using Machine Learning Algorithms, International Journal of Intelligent Networks, Scopus Q1
  • Muhammed Niyas K. P, Thiyagarajan P. (2022) Journal of King Saud University-Computer and Information Science, Feature Selection Uisng Efficient Fusion of Fisher Score and Greedy Searching for Alzheimer’s Classification, Scopus Q1
  • Muhammed Niyas K. P, Thiyagarajan P. (2021) Biomedical Signal Processing and Control, Alzheimer’s Classification Using Dynamic Ensemble of Classifier Selection Algorithms: A Performance Analysis, , Scopus Q1

Paper Presentation

  • Activistic Video ads: The Role of Emotions and Inclusivity on Youtube Brand Ads effect on Brand Outcomes, Indian Strategy Conference (December 2023)
  • Fusion of feature ranking and greedy searching for Alzheimer’s Classifications, International Conference on Intelligent Computing and Intelligent Networks, Trichy (2021)

Workshops / Training Attended

  • Participant- FDP- Business Analytics by U Dinesh Kumar - Narsee Monjee Institute of Management Studies, Mumbai (2022)
  • Participant- Summer School Workshop- Neuro Linguistics and Artificial Intelligence, Indian Institute of Technology Madras (2019)

Certifications

  • Open-Source Libraries such as Python and R
  • Data analytics software such as JMP, KNIME, Blue Sky Statistics, SPSS

Other Details

  • Journal Reviewer – IEEE Access [SCOPUS Q1]