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ASST. PROF. DR. NOWSHATH KADHAR BATCHA

School of Computing and Data Science

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Biography

An accomplished educator and researcher with extensive experience in the field of Computer Science. He remains deeply committed to raising educational standards and empowering students to reach their full potential. Earned a Ph.D. in Computer Science in 2016, preceded by Master’s and Bachelor’s degrees in the same discipline, reflecting a strong and continuous foundation in computing and research excellence. Throughout his career, has taught across various tertiary levels from Foundation and Diploma to Degree and Master’s programmes, nurturing students’ analytical thinking and technical proficiency. His professional and research journey has been distinguished by multiple recognitions for excellence and dedication. Driven by a passion for innovation, continues to contribute to the fields of technology, engineering, and artificial intelligence, advancing new ideas and inspiring progress in these ever-evolving domains.

Research Interest

Explainable Artificial Intelligence (XAI) & Large Language Models (LLM)

Educational Background

  • PhD (Computer Science), International Islamic University, Malaysia (2016)

  • MSc (Computer Science), St. Josephs College, Trichy, India (1998)

  • BSc (Computer Science), A.V.V.M. Sri Pushpam College, Thanjavur, India (1995)

Working Experience

  • Worked as Senior Lecturer, School of Computing at Asia Pacific University, Malaysia (2015-2025).

  • Employed as Lecturer, School of Computing at Taylor’s University, Malaysia (2011 – 2015).

  • Worked as Lecturer, School of Computing at Stamford College, Malaysia (2005-2011).

  • Served as Corporate Trainer, Informatics Corporate Training division, Informatics College, Malaysia (2001-2005).

  • Worked as Data Centre Officer (DCO), Citibank, Chennai, India (1999-2001)

Research Experience

  • Research expertise spans areas of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics, with a focus on developing intelligent systems and machine learning applications for real-world problem solving and data-driven decision support.

  • Project Lead for the research project titled “INTEGRITY EYES” building procurement transparency dashboard for Gray Matter Sdn Bhd, Malaysia (2024)

  • Project Lead for the research project titled “TRACKING ABNORMAL INFORMATION FLOW”, eSafe Systems Sdn Bhd, Malaysia (2016).

Representative Publications

  • Rana, M.E., Yanyu, L., Hameed, V.A. and Nowshath, K.B., 2023, January. Improved Traditional Fitness Model by Applying Big Data Analysis. In 2023 15th International Conference on Developments in eSystems Engineering (DeSE) (pp. 299-304). IEEE.

  • Dzulkarnain, J.I.B. and Nowshath, K.B., 2023. Intelligent System to Estimate Food Calories to Aid in Balanced Diet Using Computer Vision. Empowering Innovation Post-Pandemic (Series 2), p.6. 

  • Kin, C.C., Salam, Z.A.B.A. and Nowshath, K.B., 2022, October. Machine learning based house price prediction model. In 2022 International Conference on Edge Computing and Applications (ICECAA) (pp. 1423-1426). IEEE. 

  • Naing, Y. T., Raheem, M., & Nowshath. K.B., (2022, April). Feature Selection for Customer Churn Prediction: A Review on the Methods & Techniques applied in the Telecom Industry. In 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) (pp. 1-5). IEEE. 

  • Okaputra, Y. D., & Nowshath. K.B., (2021). The impact of virtual shopping with the Covid-19 outbreak. Journal of Applied Technology and Innovation, 5(3), 44. 

  • Attaluri, S. S., Nowshath K.B., & Mafas, R. (2020). Crop plantation recommendation using feature extraction and machine learning techniques. Journal of Applied Technology and Innovation, 4(4)

  • Tahmooresi, M., Afshar, A., Rad, B. B., Nowshath, K., & Bamiah, M. A. (2018). Early detection of breast cancer using machine learning techniques. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3-2), 21-27.

Honors / Awards

  • International Invention & Innovative Competition (2023) –SILVER AWARD by MNNF network, Malaysia

  • Research and Innovation Competition (2021) –GOLD AWARD by InIIC Series, Malaysia

  • Best Presentation Award (2011), PACLING conference, Malaysia