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 Intelligence.

Education

• B. Sc Computer Science from Sullamussalam Science College, Areacode (Department of Computer Science, 2011-14).
• M.Sc Computer Science (Intelligent Systems) from Central University of Kerala (Department of Computer Science, 2014-16).
• Ph. D Computer Science from Central University of Tamil Nadu (Department of Computer Science, 2017-21)

Work Experience

• Assistant Professor Computer Science Noble Women’s College, Manjery, Kerala (2016-17).
• Assistant Professor Information Technology and System under School of Business Management, Narsee Monjee Institute of Management Studies, Hyderabad (2021-2024).

Area of interest

• 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.

Consultancy

• Indian Federation of Road Safety, an NGO on road safety in analysing their road traffic data

Journal Publication

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

Workshop Attended

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

Certifications

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

Administrative Roles

• Mentor of Operancia and Future of Technology club at Narsee Monjee Institute of Management Studies Hyderabad,
• AICTE Accreditation Support Narsee Monjee Institute of Management Studies Hyderabad,
• Website and Technical Assistance,
• Generative Artificial Intelligence Policy Drafting