Shiyu Liu - Engineering - Best Researcher Award

Hebei University - China

AUTHOR PROFILE

SCOPUS

SHIYU LIU: RESEARCHER IN AI-BASED MONITORING 🔬

Shiyu Liu, currently a lecturer and postdoctoral researcher at Hebei University, has been making significant contributions in the field of spectral detection and analysis using artificial intelligence. His primary research revolves around spectral detection, machine learning, and AI-driven health monitoring systems for lithium-ion batteries, bringing innovative solutions to environmental monitoring and engineering applications.

AI-DRIVEN BATTERY MONITORING 🔋

Liu's work focuses on the health monitoring of lithium-ion batteries through artificial intelligence techniques. He combines electrochemical impedance spectroscopy with machine learning to accurately predict battery capacity and health. This research is vital for improving battery longevity, particularly in electric vehicles and sustainable energy systems, where battery performance is crucial.

SPECTRAL ANALYSIS & AI ALGORITHMS 📊

Liu's expertise extends to spectral detection and analysis, utilizing AI-based algorithms for processing near-infrared (NIR) spectroscopy data. His research aims to address issues such as high noise interference and spectral peak overlap, which often hinder accurate detection of complex organic compounds. By integrating machine learning and chemometric methods, he strives for precision in environmental pollutant measurement and industrial applications.

INNOVATIVE PROJECTS & PARTNERSHIPS 🤝

Shiyu Liu has actively contributed to several national and provincial projects, including the National Natural Science Foundation of China. His projects range from detecting environmental pollutants using spectral analysis to developing remote sensing image processing algorithms for space applications. These collaborations underscore his role in advancing both environmental science and technology.

CUTTING-EDGE PUBLICATIONS 📚

Liu has published extensively in prestigious journals, such as Fuel and Spectrochimica Acta, with a focus on using AI techniques for diesel fuel analysis and NIR spectroscopy. His innovative approach combines deep learning with spectral data to enhance the accuracy of fuel property detection, contributing to advancements in both energy and environmental fields.

PROFESSIONAL ENGAGEMENTS & PRESENTATIONS 🎤

Liu actively participates in international conferences, presenting his research findings to global audiences. Notably, he presented at the 2023 UNIfied International Conference in the UK, where he shared insights on battery health monitoring using AI. His academic activities also include contributions to forums on infrared technology, further solidifying his reputation in AI-driven research.

AWARDS & RECOGNITIONS 🏆

Shiyu Liu has received several prestigious awards, including the CSC Scholarship for his visiting PhD tenure at the University of Huddersfield. His accolades also include national scholarships, recognition as an “excellent graduate,” and top prizes in mathematical and physics competitions. These honors reflect his commitment to academic excellence and innovation in his field.

NOTABLE PUBLICATION

Title: Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Yuan, Y.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2023

Title: A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
Authors: Zhao, X., Wang, Z., Liu, S., Gu, F., Ball, A.
Conference: ICAC 2023 - 28th International Conference on Automation and Computing
Year: 2023

Title: Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
Authors: Liu, S., Wang, S., Hu, C., Kong, D.
Conference: Mechanisms and Machine Science
Year: 2023

Title: Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Wang, J.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2022

Title: Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning
Authors: Liu, S., Wang, S., Hu, C., Bi, W.
Journal: Fuel
Year: 2022

Dure Najaf Iqbal - Materials Science and Engineering - Best Researcher Award

University of Lahore - Pakistan

AUTHOR PROFILE

SCOPUS

🔬 EXPERTISE IN ORGANIC AND POLYMER CHEMISTRY

Dr. Dure Najaf Iqbal is an accomplished Associate Professor in the Department of Chemistry at The University of Lahore. With a PhD in Chemistry specializing in Organic and Polymer Chemistry from Lahore College for Women University, his research focuses on microwave-assisted synthesis, polymer chemistry, hydrogels, and synthetic organic techniques. His work in these fields is marked by advanced research skills and a strong command of analytical techniques.

🎓 ACADEMIC ACHIEVEMENTS AND EDUCATION

Dr. Iqbal's academic background reflects his dedication to chemistry. He earned his Bachelor’s and Master’s degrees from the University of the Punjab, Lahore, with a focus on Organic Chemistry. His doctoral research, supervised by Dr. Erum Akbar Hussain, involved the synthesis and characterization of autochthonic guar gum derivatives. His education has been supplemented by extensive training in analytical techniques, computer literacy, and literature review methodologies.

👩‍🏫 TEACHING EXPERIENCE AND IMPACT

With a rich teaching history, Dr. Iqbal has contributed significantly to the education sector. He served as an Assistant Professor at the University of the Punjab, where he successfully managed M.Phil. research projects. His earlier roles include teaching FSc. classes at Punjab Group of Colleges and Chemistry at the Beaconhouse School System, where he was involved in curriculum development and science exhibitions.

🏭 INDUSTRIAL EXPERIENCE IN CHEMICALS

Before transitioning to academia, Dr. Iqbal gained valuable industrial experience as a Lab Manager at MB Dyes Chemical and Silk Industry. This role provided him with practical insights into the chemical industry, enriching his understanding of applied chemistry and enhancing his research capabilities.

📜 SIGNIFICANT THESIS AND RESEARCH

Dr. Iqbal’s PhD thesis, “Synthesis and Characterization of Autochthonic Guar Gum Derivatives,” stands out for its innovative approach to polymer chemistry. His MSc. thesis on steroid extraction from medicinal plants also highlights his expertise in organic synthesis and characterization. His research has been presented at various international and national conferences, reflecting his active engagement in the scientific community.

🌐 CONFERENCE PARTICIPATION AND ORGANIZATION

Dr. Iqbal has been actively involved in numerous conferences and seminars, both as a participant and organizer. His contributions to events such as the International Conference on Materials Science and Nano Technology and the Conference on Recent Advances in Chemistry demonstrate his commitment to advancing the field of chemistry and fostering academic collaboration.

🛠️ COMPUTER LITERACY AND RESEARCH SKILLS

Proficient in essential software like Excel, MS-Word, Chem Window, and Chem Draw, Dr. Iqbal employs these tools to enhance his research and teaching activities. His ability to conduct thorough literature reviews and apply advanced statistical techniques underscores his strong analytical and research skills, which are critical for his work in polymer and organic chemistry.

NOTABLE PUBLICATION

Assessment of carcinogenic and non-carcinogenic risk of exposure to potentially toxic elements in tea infusions: Determination by ICP-OES and multivariate statistical data analysis
Authors: Ahmed, M., Ahmad, M., Khan, M.A., Wani, T.A., Zargar, S.
Year: 2024
Journal: Journal of Trace Elements in Medicine and Biology

Development and characterization of a biodegradable film based on guar gum-gelatin@sodium alginate for a sustainable environment
Authors: Shah Bukhary, S.K.H., Choudhary, F.K., Iqbal, D.N., Ali, I., Ahmed, M.
Year: 2024
Journal: RSC Advances

Efficient drug delivery potential and antimicrobial activity of biocompatible hydrogels of dextrin/Na-alginate/PVA
Authors: Nazir, A., Abbas, M., Kainat, F., Alshawwa, S.Z., Iqbal, M.
Year: 2024
Journal: Heliyon

Advances in chitosan-based drug delivery systems: A comprehensive review for therapeutic applications
Authors: Haider, A., Khan, S., Iqbal, D.N., Kanwal, Q., Mustafa, G.
Year: 2024
Journal: European Polymer Journal

Fabrication of CMC/PVA/Dextrin-Based Polymeric Membrane for Controlled Release of Cefixime With Enhanced Antibacterial Activity
Authors: Nazir, A., Abbas, M., Iqbal, D.N., Ahmad, N., Iqbal, M.
Year: 2024
Journal: Dose-Response

Nanocellulose/wood ash-reinforced starch-chitosan hydrogel composites for soil conditioning and their impact on pea plant growth
Authors: Iqbal, D.N., Tariq, Z., Philips, B., Ali, I., Ahmed, M.
Year: 2024
Journal: RSC Advances