Siyao Li | Chemical Engineering | Best Researcher Award

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Ms. Siyao Li | Chemical Engineering | Best Researcher Award

Professor at East China University of Science and Technology, China

Siyao Li is a distinguished chemical engineer with a focus on membrane technology, materials science, and liquid/gas separations. Holding a PhD from Imperial College London (2022) under the mentorship of Andrew Livingston and Suzana P. Nunes, he is currently an Associate Professor at East China University of Science and Technology. His research spans ultrathin polyamide membranes, polymeric materials for separation processes, and the development of sustainable technologies for environmental and industrial applications. His work has been published in top journals such as Science and Nature. 🌱🧪

Publication Profile : 

Scopus

Orcid

Educational Background 🎓

🎓 PhD in Chemical Engineering | Imperial College London, UK (2018-2022)
Advisor: Prof. Andrew Livingston | Mentor: Prof. Suzana P. Nunes
Project: Investigation of Ultrathin Polyamide Nanofilms Incorporating Novel Amines for Liquid Separations

🎓 MSc in Advanced Chemical Engineering | Imperial College London, UK (2017-2018)
Advisor: Prof. Bradley Ladewig
Project: Covalent Organic Frameworks as Low-Energy CO2 Adsorbents for Mixed Matrix Membranes

🎓 BEng in Chemical Engineering and Technology | Tianjin University, China (2013-2017)
GPA: 3.82/4 | Ranking: Top 4%

Professional Experience 💼

🔬 East China University of Science and Technology — Professor (2024-Present)
🔬 East China University of Science and Technology — Associate Professor (2023-2024)
🔬 Exponent Science and Technology Consulting Co. Ltd — Associate (2022-2023)
🧑‍🏫 Imperial College London — Teaching Assistant (2019-2021)
💼 Exxon Mobil Corporation — Summer Intern (2017)
💨 Vestas Wind Systems A/S — Intern (2017)

Research Interests 🔬

🔬 Polymeric Membranes for Separations: Development of hydrophobic polyamide membranes for crude oil separation and novel molecular sieving techniques.
💡 Nanotechnology & Material Science: Synthesis of advanced materials like covalent organic frameworks (COFs) and integration into mixed matrix membranes for enhanced gas and liquid separations.
🌍 Sustainable Separation Technologies: Focus on low-energy, high-efficiency methods for CO2 capture and energy-efficient separation processes.

Awards & Honors 🏆

🏆 Full PhD Scholarship (2018-2022) | Excellent Graduate of Imperial College London (2017) | Excellent Student Awards (Top 5%) for 3 years (2014-2016)

Publications 📚

  1. S. Li, R. Dong, V. E. Musteata, J. Kim, N. D. Rangnekar, J. R. Johnson, S. Chisca, B. A. McCool, S. P. Nunes, Z. Jiang*, A. G. Livingston*, “Hydrophobic Polyamide Nanofilms Provide Rapid Transport for Crude Oil Separation,” Science, 2022, 377, 1555-1561.
  2. S. Li, N. Prasetya, B. Ladewig*, “Investigation of Azo-COP-2 as a Photoresponsive Low-Energy CO2 Adsorbent and Porous Filler in Mixed Matrix Membranes for CO2/N2 Separation,” Ind. Eng. Chem. Res., 2019, 58(23), 9959-9969.
  3. Z. Jiang, R. Dong, A. M. Evans, N. Biere, M. A. Ebrahim, S. Li, D. Anselmetti, W. R. Dichtel, A. G. Livingston*, “Aligned Macrocycle Pores in Ultrathin Films for Accurate Molecular Sieving,” Nature, 2022, 609, 58-64.
  4. W. Xu, Y. Wang*, Y. Wu, F. Xu, K. Qu, L. Dai, J. Wang, J. Wu, L. Lei, S. Li, Z. Xu*, “Sub-2-nm Channels within Covalent Triazine Framework Enable Fast Proton-Selective Transport in Flow Battery Membrane,” Adv. Func. Mater., 2023, 2300138.
  5. L. Dai, S. Pang, S. Li, Z. Yi, K. Qu, Y. Wang, Y. Wu, S. Li, L. Lei, K. Huang, X. Guo, Z. Xu*, “Freestanding Two-Dimensional Nanofluidic Membranes Modulated by Zwitterionic Polyelectrolyte for Mono-/Di-Valent Ion Selectivity Transport,” J. Membr. Sci., 2023, 677: 121321.

 

 

 

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

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Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile : 

Scopus

🎓 Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

💼 Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, Meknès
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-Meknès
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

📚 Research Interests : 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

📝 Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.