Dr. Tarek Lemaoui is an accomplished chemical engineer and interdisciplinary researcher whose expertise spans artificial intelligence (AI), green chemistry, molecular modeling, and materials science. Currently serving as a Postdoctoral Fellow at Khalifa University, he integrates AI techniques with chemical engineering to innovate sustainable processes and materials. His research has yielded numerous high-impact publications and earned him international recognition in the areas of solvent design, water treatment, and energy applications. With a reputation for academic excellence and leadership in collaborative projects, Dr. Lemaoui is a strong candidate for distinction in scientific innovation and environmental sustainability.
Profile
Scopus
Education
Dr. Lemaoui completed his academic training at the University of Ferhat Abbas, Setif, Algeria. He earned a Bachelor of Science in Process Engineering in 2016, graduating first in his class. He continued at the same university to obtain his Master’s degree in Chemical Engineering in 2018 with a 3.89 GPA, receiving honors for academic distinction. His master’s thesis focused on developing models for deep eutectic solvents (DESs) using QSPR techniques. In 2022, he earned his Ph.D. in Chemical Engineering, where his research involved synthesizing and developing DESs for diesel purification, incorporating both experimental and AI-driven approaches.
Professional Experience
Dr. Lemaoui’s career is marked by continuous academic and research advancement. He began as a Teaching Assistant at Ferhat Abbas University (2018–2022), where he instructed undergraduate and graduate courses in chemical engineering, thermodynamics, and AI applications. He later became a Lecturer and Researcher (2022–2023), where he supervised master’s and Ph.D. students. Since 2023, he has been a Postdoctoral Fellow at Khalifa University, where he works on the integration of green solvents with AI and molecular simulations. His collaborations span multiple international institutions, and his work is at the forefront of sustainable chemical engineering.
Research Interests
Dr. Lemaoui’s research focuses on the use of artificial intelligence in chemical engineering. His key interests include machine learning algorithms such as ANN, SVM, and Random Forest for predicting physicochemical properties of neoteric solvents. He is proficient in molecular modeling techniques, including DFT and MD simulations, for solvent screening and materials design. His current research also explores 2D materials, polymers, and deep eutectic solvents for use in water purification, CO₂ capture, membrane filtration, and sustainable energy applications. He is dedicated to developing innovative, data-driven platforms to accelerate green solvent discovery.
Awards
Dr. Lemaoui has received multiple awards for academic excellence and professional achievement. In 2016 and 2018, he was honored for ranking first in his cohort during his bachelor’s and master’s programs. He was also the first-place winner in the National Ph.D. Competition for Chemical Engineering in 2018. Most recently, in 2024, he received the Khalifa University Staff Excellence Award – “Team Player Award” – recognizing his contributions to collaborative research and student mentorship in advanced engineering projects.
Selected Publications
Dr. Lemaoui has published over 50 research papers. His work is widely cited, with over 2,000 citations and an h-index of 28 on Google Scholar. Below are seven selected publications that highlight his impactful contributions:
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“Quantitative structure properties relationship for deep eutectic solvents using Sσ-profile as molecular descriptors,” Journal of Molecular Liquids, 2020 – cited by 180+ articles.
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“Prediction of Electrical Conductivity of Deep Eutectic Solvents Using COSMO-RS Sigma Profiles,” Industrial & Engineering Chemistry Research, 2020 – cited by 160+ articles.
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“Simultaneous dearomatization, desulfurization, and denitrogenation of diesel fuels using acidic DESs,” Separation and Purification Technology, 2021 – cited by 110+ articles.
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“Predicting the density and viscosity of hydrophobic eutectic solvents,” Green Chemistry, 2020 – cited by 100+ articles.
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“Molecular-Based Guide to Predict the pH of Eutectic Solvents,” ACS Sustainable Chemistry & Engineering, 2021 – cited by 95+ articles.
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“Molecular-Based Artificial Neural Network for Predicting Electrical Conductivity,” Journal of Molecular Liquids, 2022 – cited by 70+ articles.
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“Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents,” Energy Storage Materials, 2023 – cited by 50+ articles.
Conclusion
Dr. Tarek Lemaoui exemplifies the qualities of a forward-thinking researcher whose work addresses critical global challenges in sustainability and environmental science. His integration of artificial intelligence with chemical engineering has produced new tools, models, and technologies for greener industrial applications. Through his scholarly excellence, mentorship, international collaborations, and a commitment to innovation, Dr. Lemaoui continues to advance the frontiers of sustainable materials and processes. His achievements make him a deserving nominee for any prestigious scientific or academic award aimed at recognizing impactful research and leadership in engineering and sustainability.