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Lim, S.Y., Chemmangattuvalappil, N.G., Tapia, J.F.D., Khoiroh, I., Chai, P.V.,  Ng, L.Y. (2025): Optimal chemical reaction pathway for palm process residue recovery using Process Graph (P-graph) framework. Computers and Chemical Engineering, 194, 109000

Tang, J.Y., Chung, B.Y.H., Ang, J.C., Chong, Jia Wen, Tan, Raymond R., Aviso, Kathleen B., Chemmangattuvalappil, N.G., Thangalazhy-Gopakumar, S. (2024). Prediction model for biochar energy potential based on biomass properties and pyrolysis conditions derived from rough set machine learning. Environmental Technology (United Kingdom), 45(15), pp. 2908–2922. 

Chew, Y.E., Lee, H.Y., Heng, Y.P., Tiew, S.T., Chong, J.W., Chemmangattuvalappil, N.G. (2024). Design of formulated fragrant products using rough set machine learning and molecular design tools. Chemical Engineering Research and Design, 203, pp. 305–320.

Chong, J.W., Chemmangattuvalappil, N.G., Muthoosamy, K. and Thangalazhy-Gopakumar, S. (2024): Stable diesel and bio-oil emulsion through solvent extraction and ultrasonic aided emulsification. Process Safety and Environmental Protection, 190, 616-624. 

3.    Lim, S.Y., Chemmangattuvalappil, N.G., Chok, V.S. Ng, D.K.S., Qaisar, A., Ng, L.Y. (2024). Computer-aided framework for the design of entrainer for palm process residue recovery. Chemical Engineering Research and Design, 206, pp. 499–510. 

Chung, B.Y.H., Ang, J.C., Tang, J.Y., Chong, Jia Wen, Tan, Raymond R., Aviso, Kathleen B., Chemmangattuvalappil, N.G., Thangalazhy-Gopakumar, S. (2023).Rough set approach to predict biochar stability and pH from pyrolysis conditions and feedstock characteristics. Chemical Engineering Research and Design, 198, pp. 221–233.

Ang, J.C., Tang, J.Y., Chung, B.Y.H., Chong, Jia Wen, Tan, Raymond R., Aviso, Kathleen B., Chemmangattuvalappil, N.G., Thangalazhy-Gopakumar, S. (2023). Development of predictive model for biochar surface properties based on biomass attributes and pyrolysis conditions using rough set machine learning. Biomass and Bioenergy, 2023, 174, 106820

Tiew, Shie Teck, Chew, Yick Eu, Lee, Ho Yan, Chong, Jia Wen, Tan, Raymond R., Aviso, Kathleen B. and Chemmangattuvalappil, Nishanth G., 2023. A Fragrance Prediction Model for Molecules Using Rough Set-based Machine Learning Chemie Ingenieur Technik. 95(3), 438-446. 

Chong, Jia Wen, Thangalazhy-Gopakumar, Suchithra, Tan, Raymond R., Aviso, Kathleen B. And Chemmangattuvalappil, Nishanth G., 2022. Estimation Of Fast Pyrolysis Bio-Oil Properties From Feedstock Characteristics Using Rough-Set-Based Machine Learning International Journal Of Energy Research. 46, 19159–19176. 

Yee, Q.Y., Hassim, M.H., Chemmangattuvalappil, N.G., Ten, J.Y., Raslan, R. (2022). Optimization of quality, safety and health aspects in personal care product preservative design Process Safety and Environmental Protection, 157, pp. 246–253.