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Alwin Poulose

Researcher at Center for ICT & Automobile Convergence (CITAC) · Kyungpook National University, Daegu, South Korea

https://researchid.co/alwinpoulosepalatty
@knu.ac.kr
70Scopus Publications
3257Google Scholar Citations
26Google Scholar h-index
40Google Scholar i10-index

Research Interests

indoor localization, human activity recognition, facial emotion recognition, and human behavior prediction

Biography

Dr. Alwin Poulose was born in Manjapra, Kerala, India, in 1992. He received a B.Sc. degree in computer maintenance and electronics from the Union Christian College, Aluva, Kerala, India, in 2012, the M.Sc. degree in electronics from the MES College Marampally, Kerala, India, in 2014, the M. Tech degree in communication systems from Christ University, Bangalore, India in 2017, and the Ph.D. degree in electronics and electrical engineering from Kyungpook National University, Daegu, South Korea in 2021. His research interests include indoor localization, human activity recognition, facial emotion recognition, and human behavior prediction. He is a reviewer of prominent engineering and science international journals and has served as a technical program committee member at several international conferences. He is currently a researcher at the Center for ICT & Automobile Convergence (CITAC), Kyungpook National University, Daegu, South Korea.

Education

2017/08/21 – 2021/08/31: Ph.D. Degree in Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea. 2015/06/01 – 2017/05/21: M. Tech Degree in Electronics and Communication Engineering, Christ University, Bangalore, India. 2014/08/05 – 2015/04/25: Trainee for International English Language Testing System (IELTS), Newman's Academy, Angamaly, Kerala, India. 2012/07/02 – 2014/07/31: M.Sc. Degree in Electronics, MES College, Marampally, Kerala, India. 2009/07/01 – 2012/04/30: B. Sc. Degree in Computer Maintenance and Electronics, Aluva, Kerala, India.

Recent Scopus Publications

  1. Diversity-driven self-regulation for robust high-dimensional black-box optimization
    Expert Systems with Applications, 2026
  2. Data augmentation for machine learning assisted pesticide detection from SERS
    Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2026
  3. Mothers to Newborns: A Two Decade Analysis of Female Nutrition and Neonatal Mortality Trends Across Indian States
    7th International Conference on Innovative Trends in Information Technology Icitiit 2026, 2026
  4. Advanced Brain Tumor Classification from MRI Images with Vision and Swin Transformer Models
    Etis International Conference on Emerging Technologies for Intelligent Systems Etis 2025, 2025
  5. Global Refugee Analysis: Insights into Asylum Applications, Demographics, and Resettlement Trends
    Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing, 2025

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