Shyamal Acharya | Engineering | Research Excellence Award

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Mr. Shyamal Acharya | Engineering | Research Excellence Award

Assistant Professor | Chittagong University of Engineering & Technology (CUET) | Bangladesh

Mr. Shyamal Acharya is an accomplished researcher and academic in Civil Engineering with a strong specialization in Water Resources Engineering, combining teaching excellence with applied research and consultancy experience. His scholarly work focuses on sustainable water management, hydrologic alteration, reservoir sedimentation, flood risk assessment, and performance evaluation of urban water supply systems, with particular relevance to the socio-economic and environmental context of Bangladesh. He has contributed peer-reviewed research published by internationally recognized publishers, addressing critical issues such as the impacts of hydraulic infrastructure on river systems and efficiency assessment of public water utilities. His research methodology integrates remote sensing, hydrological modeling, risk assessment frameworks, and institutional performance indicators to support evidence-based policy and engineering decisions. Alongside academic research, he has extensive professional experience in high-impact consultancy projects, including feasibility studies and structural design of port infrastructure, tourism development initiatives, dam stability assessments, and industrial water-related engineering solutions. His involvement in reservoir irrigation feasibility and flood mitigation studies reflects a strong commitment to climate resilience, food security, and sustainable infrastructure development. As an educator and mentor, he actively contributes to capacity building in water resources engineering and civil engineering practice. He is a Life Fellow of a national professional engineering body and maintains strong links with professional and development institutions, enabling effective knowledge transfer between academia, industry, and policy stakeholders. His profile demonstrates sustained contributions to research excellence, practical engineering impact, and national development priorities in water and environmental engineering.

Profile: Scopus

Featured Publications

Acharya, S. (2025). Performance assessment of a public water supply provider in Bangladesh. Urban Water Journal.

Gul Durak | Engineering | Best Research Article Award

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Ms. Gul Durak | Engineering | Best Research Article Award

Yildiz Technical University | Turkey

Ms. Gul Durak is an industrial engineering professional with strong applied expertise at the intersection of air cargo logistics, operations management, and cost optimization, developed through extensive practice in a global airline and manufacturing environments. Her professional focus centers on operational efficiency, air cargo logistics systems, cost analysis, and financial decision-support, combining analytical rigor with real-world logistics performance needs. She has built advanced competence in evaluating operation costs, managing logistics workflows, supporting strategic negotiations, and contributing to company-level management decisions within complex, large-scale organizations. Her experience spans air cargo operations, logistics specialization, and engineering roles that emphasize data-driven optimization and performance improvement, supported by quantitative tools and optimization software. In parallel, her research orientation reflects a growing interest in industrial engineering methodologies, logistics finance, and decision-making models that enhance efficiency and sustainability in transportation and supply chain systems. She has contributed to cost optimization initiatives recognized for their impact, demonstrating an ability to translate analytical research into actionable operational improvements. Alongside professional practice, she actively engages with academic and industry communities through invited talks and knowledge-sharing activities, highlighting her commitment to bridging theory and practice. Her skill set includes advanced logistics analytics, negotiation, financial analysis, and operations research tools, complemented by multilingual communication abilities that support international collaboration. Overall, her profile reflects a practitioner-researcher perspective, combining industrial engineering research interests with hands-on expertise in air cargo logistics and cost-focused operational strategy.

Profiles: Scopus | Orcid 

Featured Publication

Durak, G., & Çetin Demirel, N. (2025). Cargo aircraft capacity optimization: A hybrid approach comprising a genetic algorithm and large neighborhood search. Applied Sciences, 15(22), 11988.

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

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Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Zhiqi Wu | Engineering | Best Researcher Award

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Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile: Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Sirisha Nallakukkala | Chemical Engineering | Best Researcher Award

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Dr. Sirisha Nallakukkala | Chemical Engineering | Best Researcher Award

Assistant Professor at Sri Sivasubramaniya Nadar College of Engg, India

Dr. Sirisha Nallakukkala is an accomplished Chemical Engineering professional with over 11 years of teaching and 8 years of research experience. Her expertise spans gas hydrate-based water treatment, carbon capture and storage, circular economy, machine learning applications in process engineering, and renewable energy. She is highly proficient in analytical instruments such as ICP-MS, GC, and XRD, and software tools like Matlab, ASPEN, CHEMCAD, PVTSim, and CSMGem. Dr. Nallakukkala is recognized for her multidisciplinary collaboration, strong leadership, and impactful contributions to chemical engineering education and research.

Publication Profile 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Chemical Engineering
    Universiti Teknologi PETRONAS, Malaysia (Jan 2020 – Sep 2023)
    Thesis: Performance Evaluation and Kinetic Study of CO₂-Rich Natural Gas Hydrate Formation for Produced Water Treatment

  • Master of Science in Chemical Engineering
    McNeese State University, Louisiana, USA (Dec 2007)
    GPA: 3.6 / 4.0

  • Bachelor of Technology in Chemical Engineering
    Jawaharlal Nehru Technological University (GVPCOE), India (May 2005)
    GPA: 3.5 / 4.0

Professional Experience 💼

  • Assistant Professor, Sri Sivasubramanian Nadar College of Engineering, Chennai (Aug 2024 – Present)

  • Assistant Professor (Temporary), National Institute of Technology, Srinagar (Mar 2024 – Jul 2024)

  • Graduate Research Assistant, Universiti Teknologi PETRONAS, Malaysia (Jan 2020 – Sep 2023)

  • Assistant Professor, BMS College of Engineering, Bangalore (Aug 2014 – Dec 2019)

  • Assistant Professor, B.V. Raju Institute of Technology (BVRIT), Narsapur (Aug 2011 – Jun 2014)

  • Process Engineer, Dynamic Industries Inc., Louisiana, USA (Jan 2008 – Jun 2011)

  • Research/Teaching Assistant, McNeese State University, USA (Aug 2005 – Dec 2007)

  • Plant Engineering Intern, Hindustan Petroleum Corporation Ltd, India (May 2004 – Aug 2004)

Research Interests 🔬

  • Gas Hydrate-Based Water Treatment

  • Machine Learning in Process Engineering

  • Resource Recovery and Circular Economy

  • Carbon Capture and Storage

  • Renewable Energy Systems

  • Desalination and Industrial Wastewater Treatment

  • Corrosion Inhibition using Surfactants

Awards and Honors🏆✨

  • Secured Research Funding from:
    • King Abdullah University of Science and Technology (KAUST)
    • Yayasan Universiti Teknologi PETRONAS (YUTP)

  • Supervised multiple undergraduate and postgraduate projects

  • Presented and published in several high-impact international journals

Conclusion🌟

Dr. Sirisha Nallakukkala stands out as a well-rounded chemical engineer, educator, and researcher. Her commitment to sustainable solutions for water treatment and environmental challenges reflects in her cutting-edge work on gas hydrates, carbon sequestration, and AI applications in engineering. With her multidisciplinary background, strong academic foundation, and impactful professional experience, she is poised to make continued contributions to academia and industry in chemical engineering.

Publications 📚

📘 1. Seawater and Produced Water Treatment via Gas Hydrate: Review
👨‍🔬 S. Nallakukkala, B. Lal
📰 Journal of Environmental Chemical Engineering, 9(2), 105053.
📅 2021 | 🔁 Cited by: 65

📘 2. Gas Hydrate-Based Heavy Metal Ion Removal from Industrial Wastewater: A Review
👨‍🔬 S. Nallakukkala, A. ur Rehman, D. Zaini, B. Lal
📰 Water, 14, 1171.
📅 2022 | 🔁 Cited by: 39

📘 3. Suitable Binary and Ternary Thermodynamic Conditions for Hydrate Mixtures of CH₄, CO₂, and C₃H₈ for Gas Hydrate-Based Applications
👨‍🔬 S. Nallakukkala, H. Abulkhair, A. Alsaiari, I. Ahmad, E. Almatrafi, O. Bamaga, et al.
📰 ACS Omega, 7(13), 10877–10889.
📅 2022 | 🔁 Cited by: 13

📘 4. Gas Hydrate in Water Treatment: Technological, Economic, and Industrial Aspects
👨‍🔬 B. Lal, S. Nallakukkala
📰 [Journal info not specified]
📅 2022 | 🔁 Cited by: 13

📘 5. Advancement in Gas Hydrate Water Based Produced Water Desalination: An Overview
👨‍🔬 S. Nallakukkala, Z. Kassim, N. A. Othman, B. Lal
🎤 Third International Conference on Separation Technology 2020 (ICoST 2020)
📅 2020 | 🔁 Cited by: 13

📘 6. Influence of Water Volume on CO₂ Hydrate-Based Desalination of Brine Solution
👨‍🔬 S. Nallakukkala, B. Lal, M. A. Shariff
📰 Materials Today: Proceedings, 56, 2172–2177.
📅 2021 | 🔁 Cited by: 11

📘 7. Kinetic and Isothermal Investigations in Elimination of Iron Metal from Aqueous Mixture by Using Natural Adsorbent
👨‍🔬 F. S. S. Nallakukkala, B. Lal
📰 International Journal of Environmental Science and Technology
📅 2020 | 🔁 Cited by: 10

📘 8. Desalination of Produced Water via Carbon Dioxide Hydrate Using Filter-Based Hydrate Desalination Reactor
👨‍🔬 H. Abulkhair, S. Nallakukkala, M. S. Khan, I. A. Moujdin, E. Almatrafi, et al.
📰 Separation and Purification Technology, 332, 125849.
📅 2024 | 🔁 Cited by: 9

📘 9. Desalination of Produced Water via CO₂ + C₃H₈ Hydrate Formation
👨‍🔬 H. Abulkhair, S. Nallakukkala, I. A. Moujdin, E. Almatrafi, O. Bamaga, et al.
📰 Separation and Purification Technology, 315, 123711.
📅 2023 | 🔁 Cited by: 8

📘 10. Nonionic Surfactants as Corrosion Inhibitors for Carbon Steel in Hydrochloric Acid Medium
👨‍🔬 S. Nallakukkala
📰 TEST Engineering and Materials, 81, 5830–5835.
📅 2019 | 🔁 Cited by: 6

Guojun Wu | Civil Engineering | Best Researcher Award

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Mr. Guojun Wu | Civil Engineering | Best Researcher Award

Professor at Chinese Academy of Sciences, China

Professor Guojun Wu is a distinguished researcher in geotechnical and underground engineering, serving at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences in Wuhan, China. With over two decades of impactful academic and industry contributions, he specializes in underground engineering disaster mechanisms and support control technologies. He has led 14 completed and 3 ongoing research projects, authored 78 peer-reviewed publications, published 4 books, and holds 37 patents (with 4 pending). He actively contributes to the advancement of tunnel safety and sustainable underground infrastructure development.

Publication Profile 

Scopus

Educational Background 🎓

  • Bachelor’s Degree (2001): Engineering Mechanics, Wuhan University, China

  • Master’s Degree (2003–2006): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

  • Ph.D. Degree (2006–2009): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

Professional Experience 💼

  • Current Position: Professor, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

  • Editorial Roles:

    • Editorial Board Member, International Journal of Mining Science and Technology

    • Guest Editor, Advances in Civil Engineering

  • International Collaboration:

    • Research on Boom Clay with Belgian Nuclear Research Center

    • Visiting Scholar at Lorrain University, France

  • Consultancy Projects: Led 6 industry projects

  • Professional Affiliations:

    • Director, Underground Engineering Branch, Chinese Society of Rock Mechanics and Engineering

    • Director, Hubei Underground Engineering Society

Research Interests 🔬

  • Geotechnical Engineering

  • Underground Engineering

  • Tunnel Safety and Deformation Control

  • Rock Mechanics

  • Dynamic Stress Testing

  • Support Control Technologies for Steeply Inclined and Squeezing Rock Tunnels

Awards and Honors🏆✨

  • Nominee for the Global Innovation Technologist Awards – Best Researcher Award

  • Recognized for proposing the dynamic stress testing method for soft rock and a buffer support design method for asymmetric deformation in tunnels, both adopted in deep coal mine projects.

Conclusion🌟

Professor Guojun Wu stands as a leading figure in the field of underground geotechnical engineering, with innovations that have significantly improved safety and design in high-risk environments. His extensive publication record, interdisciplinary collaborations, and patented technologies position him as a prime candidate for the Best Researcher Award. His work demonstrates practical impact, academic rigor, and global collaboration, making him an invaluable contributor to civil engineering and underground infrastructure sciences.

Publications 📚

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2025). Laboratory model tests and unstable collapse analysis of SPB shield machine tunnelling in saturated sand. Tunnelling and Underground Space Technology.
📌 Focus: Collapse behavior during shield machine tunneling in saturated sand.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Huo, M., Chen, W., Yuan, J., Li, Y., & Liu, Y. (2025). Experimental investigation and limit analysis of shield tunnel face failure mechanism in sand. Underground Space (China).
📌 Focus: Tunnel face failure mechanism under sandy conditions.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Wen, C., Jia, S., Fu, X., & He, H. (2025). Semi-analytical assessment of dynamic sealing capacity of underground gas storage: A case of Songliao Basin, Northeastern China. Journal of Rock Mechanics and Geotechnical Engineering.
📌 Focus: Sealing effectiveness in underground gas reservoirs.

🔬 Journal Article | 🗓️ 2025 | 🔢 1 citation
Yu, J., Zhang, Z., Wu, G., Li, X., & Tian, H. (2025). Investigation on asymmetric dynamic response characteristics of anchored surrounding rock under blasting excavation of inclined layered rock tunnel. Canadian Geotechnical Journal.
📌 Focus: Response of surrounding rock under dynamic blasting loads.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Shu, X., Chen, W., Qiu, X., Wu, G., & Tian, Y. (2024). Anchorage mechanism and parametric analysis of a novel interface-shear-stress-dispersing bolt. Tunnelling and Underground Space Technology.
📌 Focus: New bolt design for stress dispersion in tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 2 citations
Li, Y., Wu, G., Chen, W., Huo, M., & Liu, Y. (2024). Laboratory experimental study of the forming and failure mechanisms of soil arching during EPBS tunnelling in sand. Engineering Failure Analysis.
📌 Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2024). Influence of confined water on the limit support pressure of tunnel face in weakly water-rich strata. Journal of Central South University.
📌 Focus: Impact of water content on tunnel face stability.

Rajesh Singh | Engineering | Best Researcher Award

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Prof. Dr. Rajesh Singh | Engineering | Best Researcher Award

Professor at Uttaranchal University, India

Rajesh Singh, Ph.D., is an accomplished academician and researcher with over 20 years of experience in engineering and innovation. He currently serves as the Director of Research & Innovation at Uttaranchal University, as well as the Head of Innovation & Entrepreneurship at Lovely Professional University and Head of the Robotics Research Centre at the University of Petroleum & Energy Studies. Dr. Singh has been instrumental in driving various research and innovation initiatives, with notable accomplishments in the fields of Wireless Sensor Networks, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Automation, IoT, and Raspberry Pi.

Publication Profile : 

Scopus

Educational Background 🎓

  • Ph.D. in Electronics Engineering from the University of Petroleum and Energy Studies, Dehradun (2016).
  • M.Tech in Electronics & Communication Engineering from Rajiv Gandhi Technical University (2009).
  • B.E. in Electronics & Communication Engineering from Dr. B.R Ambedkar University, Agra (2002).

Professional Experience 💼

Held various positions in academia, including Associate Professor, Assistant Professor, and Director, with a focus on innovation, research, and entrepreneurship across multiple institutions, including Uttaranchal University, Lovely Professional University, and University of Petroleum & Energy Studies.

Research Interests 🔬

  • Wireless Sensor Networks
  • Embedded Systems
  • Robotics
  • Artificial Intelligence
  • Machine Learning
  • Internet of Things (IoT)
  • Automation

Awards & Recognition

  • Award of Excellence for Research and Innovation in Science, conferred by the State Minister of Uttarakhand, India
  • Recognized for significant contributions to innovation, technology, and academic excellence both nationally and internationally.

Publications 📚

  • Title: Lumpy skin disease virus identification using image-based and deep learning approach
  • Authors: Sharma, S., Joshi, K., Singh, R., Sharma, G., Kumar, G.
  • Conference: Computational Methods in Science and Technology – Proceedings of the 4th International Conference on Computational Methods in Science and Technology, ICCMST 2024
  • Year: 2025
  • Volume: 2
  • Pages: 30–35
  • Title: Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors
  • Authors: Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K.
  • Book: Intelligent Networks: Techniques, and Applications
  • Year: 2024
  • Pages: 129–151
  • Title: Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
  • Authors: Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N.
  • Journal: Results in Engineering
  • Year: 2024
  • Volume: 24
  • Article ID: 103301
  • Title: Vision-based approach for human motion detection and smart appliance control
  • Authors: Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K.
  • Journal: IAES International Journal of Robotics and Automation
  • Year: 2024
  • Volume: 13(4)
  • Pages: 445–451
  • Title: Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context
  • Authors: Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Sustainability
  • Year: 2024
  • Volume: 5(1)
  • Article ID: 245
  • Title: The Image Classification Method for Eddy Current Inspection of Titanium Alloy Plate Based on Parallel Sparse Filtering and Deep Forest
  • Authors: Yidan, Z., Zou, H., Li, Z., Singh, R., Abbas, M.
  • Journal: Journal of Nondestructive Evaluation
  • Year: 2024
  • Volume: 43(4)
  • Article ID: 103
  • Title: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
  • Authors: Chauhan, A.S., Singh, R., Priyadarshi, N., Suthar, S., Swami, S.
  • Journal: Discover Artificial Intelligence
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 58
  • Title: Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review
  • Authors: Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B.
  • Journal: Humanities and Social Sciences Communications
  • Year: 2024
  • Volume: 11(1)
  • Article ID: 1076
  • Title: Use of IoT sensor devices for efficient management of healthcare systems: a review
  • Authors: Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Internet of Things
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 8
  • Title: Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications
  • Authors: Goyal, B., Dogra, A., Jalamneh, A., Singh, R., Jyoti Saikia, M.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14(1)
  • Article ID: 17122

 

 

 

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.