Tag: Best Researcher Award

Zhen Li, Information Technology, Best Researcher Award

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Doctorate Zhen Li: Lecturer in College of Computer and Control Engineering at Northeast Forestry University, China

Dr. Zhen Li is currently a lecturer at the College of Computer and Control Engineering, Northeast Forestry University, Harbin, China. He has developed expertise in the fields of wireless communication and networking technologies, with a research focus that aligns with modern advancements in 5G and beyond. Over the years, he has contributed significantly to the study of integrated terrestrial–satellite communication systems and energy-efficient wireless technologies. His work reflects a balanced combination of theoretical rigor and practical application, aimed at solving real-world communication challenges.

Online Profiles

Scopus Profile

Citations: 15 citations across 15 documents
h-index: 2 (This indicates Dr. Li has at least 2 publications that have been cited at least 2 times each.)

Dr. Li is actively engaged in the academic community through several online platforms. His Scopus ID is 57206873472, where his research metrics and indexed publications are maintained. He is also encouraged to register or link his work through ORCID to enhance his research visibility and integrity in global academic networks. Additionally, profiles on platforms like Google Scholar, ResearchGate, and IEEE Xplore likely host his publications and citation data, contributing to a broader dissemination of his research outputs.

Education

Dr. Zhen Li has a strong academic background in information and communication technologies. He received his B.S. degree in Information Countermeasure Technology from Harbin Institute of Technology in 2012. He furthered his education internationally with an M.S. degree in Electronic and Information Engineering from City University of Hong Kong in 2014. He completed his Ph.D. in Information and Communication Engineering at Harbin Institute of Technology, one of China’s top research universities. This combination of domestic and international education has provided him with a broad perspective on both theoretical foundations and global research trends.

Research Focus

Dr. Li’s research is primarily centered around integrated satellite–terrestrial networks (ISTNs), which bridge the gap between space-based and ground-based communications. He also investigates physical-layer network coding (PLNC) to improve spectral efficiency and reliability, and simultaneous wireless information and power transfer (SWIPT) to enable sustainable and energy-efficient network operations. These topics are crucial for future wireless infrastructure where robust connectivity and power efficiency are vital. His studies explore how to optimize network performance in terms of outage probability, throughput, and energy consumption in hybrid environments.

Experience

With years of teaching and research experience, Dr. Li serves as a faculty member at Northeast Forestry University, contributing to both academic instruction and scientific advancement. He is involved in mentoring students, supervising graduate theses, and participating in funded research projects. His teaching portfolio includes subjects related to communication systems, signal processing, and wireless networking. He collaborates with peers and institutions domestically and internationally to pursue interdisciplinary research goals, bringing both technical innovation and academic leadership to his department.

Research Timeline

Dr. Li’s research journey began during his undergraduate studies and evolved significantly through his graduate and doctoral education. From 2012 to 2014, he explored electronic systems and communication theory, and by 2015 he began focusing on the integration of satellite and terrestrial networks. Between 2018 and 2021, he expanded his work to include energy harvesting and coding techniques for wireless systems. Since 2022, his research has emphasized optimization techniques for hybrid systems using SWIPT and PLNC, producing several impactful journal papers. His academic development reflects a consistent commitment to high-impact, future-facing research themes.

Awards & Honors

Although no specific awards or fellowships are publicly listed, Dr. Li’s publication record in high-quality, peer-reviewed journals like Sensors and his contributions to state-of-the-art communication systems suggest significant recognition in his field. His research has been cited and acknowledged by fellow scholars, indicating influence within the wireless communication and satellite network communities. Participation in funded projects and invited contributions to technical publications are further indicators of his respected standing among academic peers.

Top-Noted Publication

One of Dr. Li’s most cited and notable works is the 2025 paper titled “Outage Performance of SWIPT-D2D-Based Hybrid Satellite–Terrestrial Networks”, published in the journal Sensors. This study presents a novel analysis of the outage performance in a device-to-device (D2D) assisted hybrid satellite–terrestrial network using simultaneous wireless information and power transfer. By deriving closed-form expressions and validating them through Monte Carlo simulations, the research offers practical insights into designing robust and energy-efficient hybrid networks. This publication has attracted citations for its depth of analysis and relevance to emerging wireless technologies.

Fulin Zhou, Engineering, Best Researcher Award

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Doctorate Fulin Zhou: Associate Professor at Shanghai Jiao Tong University, China

Dr. Fulin Zhou is an Associate Professor at the School of Ocean and Civil Engineering at Shanghai Jiao Tong University, specializing in underwater acoustics. His research explores both theoretical and experimental aspects of acoustic wave propagation and scattering, with a focus on complex structures such as inflatable systems, cylindrical shells, and acoustic black holes. With a strong foundation in mechanical and ocean engineering, Dr. Zhou has made significant contributions to underwater detection technologies, structural acoustics, and sonar system development. He has published extensively in peer-reviewed journals and frequently collaborates with domestic and international researchers to address critical challenges in underwater sensing and acoustic modeling.

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Scopus Profile

ORCID Profile

Although Dr. Zhou does not currently maintain an official LinkedIn or academic personal website, his work is accessible through institutional platforms and major academic databases such as Elsevier, Springer, and IEEE Xplore. His publications can be found by searching his name on Google Scholar or institutional repositories. He is actively engaged with the research community through academic conferences, journal editorial activities, and collaborative research programs.

Total Publications (Scopus-indexed): 26
Citations: 69 (by 55 documents)
h-index: 6

Education

Dr. Zhou received his Ph.D. in Underwater Acoustics from the School of Ocean and Civil Engineering at Shanghai Jiao Tong University in June 2019. During his doctoral studies, he focused on acoustic scattering theory and its applications in underwater environments. His academic training combines advanced fluid dynamics, structural mechanics, and signal processing, providing a multidisciplinary platform for addressing complex acoustic phenomena. His commitment to academic excellence has been demonstrated through consistent scholarly output and rigorous peer-reviewed research since his graduation.

Research Focus

Dr. Zhou’s research centers on underwater acoustics, with special emphasis on the acoustic behavior of submerged elastic and composite structures. He investigates how sound waves interact with objects such as cylindrical shells, inflatable bodies, and structures containing acoustic black holes, aiming to improve sonar detection and underwater communication techniques. His work also includes the development of acoustic barcodes for underwater target identification, scattering pattern modeling at low frequencies, and understanding bistatic and subcritical scattering properties. His research supports both theoretical advancements and real-world engineering applications, particularly in ocean exploration, defense technology, and maritime structural design.

Experience

Since joining Shanghai Jiao Tong University, Dr. Zhou has progressed from Assistant Professor to Associate Professor, reflecting his academic contributions and leadership in research. He has led multiple research projects funded by national science foundations and internal university grants. His responsibilities include supervising postgraduate research, publishing high-impact papers, contributing to curriculum development, and collaborating with interdisciplinary teams. Beyond his academic duties, he regularly participates in technical symposiums and serves as a reviewer for prominent journals in acoustics and marine engineering.

Research Timeline

Dr. Zhou’s research trajectory began with foundational work during his Ph.D. on acoustic backscattering from submerged structures. From 2019 to 2022, his focus expanded into multi-shell acoustic interactions and low-frequency scattering analysis. In 2023, he presented his findings at the International Conference on Acoustics in Sydney, marking a significant milestone in his international academic engagement. Between 2023 and 2025, his work has evolved into more applied areas, including acoustic material design and experimental verification of inflatable underwater structures, leading to several high-impact publications and recognition within the field.

Awards & Honors

Dr. Zhou has received internal commendations from Shanghai Jiao Tong University for academic excellence and has been recognized for his contributions to research in ocean and civil engineering. While specific national or international awards have not been listed, his work’s impact is evident through citations, peer recognition, and inclusion in prestigious journals such as Applied Acoustics, Physics of Fluids, and Ocean Engineering. His role as a corresponding author on several collaborative studies reflects his leadership in guiding innovative and interdisciplinary research.

Top-Noted Publication

One of Dr. Zhou’s most recognized works is the 2025 paper titled “Flexible Inflatable Structures in Underwater Acoustics: Scattering Experiments”, published in Applied Acoustics. This study explored the acoustic scattering properties of inflatable underwater structures, offering a novel approach to sonar stealth and identification applications. The research combined experimental data and simulation results to demonstrate how flexible, pressure-sensitive surfaces interact with underwater sound waves. This paper has been widely cited and praised for its originality, technical rigor, and potential impact on both military and civilian underwater technologies.

1. Zhou, F., Wang, Z., Liu, Z., Xiong, J., Peng, Z., & Fan, J. (2025). Flexible inflatable structures in underwater acoustics: Scattering experiments. Applied Acoustics, Article 110825. https://doi.org/10.1016/j.apacoust.2025.110825
ISSN: 0003-682X / 1872-910X | EID: 2-s2.0-105005006023
This paper introduces innovative acoustic scattering experiments involving flexible inflatable underwater structures, contributing novel insights into stealth design and target identification.

2. Li, B., Zhou, F., Wang, Z., Yang, Y., Fan, J., & Wang, B. (2025). Bistatic subcritical scattering characteristics of a buried solid-filled cylindrical shell at low-frequency. Ocean Engineering, Article 121542. https://doi.org/10.1016/j.oceaneng.2025.121542
ISSN: 0029-8018 | EID: 2-s2.0-105005105253
A comprehensive low-frequency scattering analysis offering valuable implications for sonar detection of buried objects in marine environments.

3. Wang, W.-T., Wang, B., Fan, J., & Zhou, F.-L. (2024). Acoustic radiation characteristics of partially immersed and filled cylindrical shell (部分浸没充液无限长圆柱壳声辐射特性研究). Journal of Ship Mechanics, Issue 1, 2024. https://doi.org/10.3969/j.issn.1007-7294.2024.01.013
ISSN: 1007-7294 | EID: 2-s2.0-85182747297
This research explores acoustic radiation from cylindrical shells under partial immersion, with applications in ship noise modeling and control.

4. Xu, S., Peng, Z., Zhou, F., Miu, X., & Ke, H. (2024). Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers. Archives of Acoustics, 49(1). https://doi.org/10.24425/aoa.2024.148815
ISSN: 0137-5075 / 2300-262X | EID: 2-s2.0-85213816482
A predictive model for analyzing static acoustic scattering of marine propellers, aiding in noise signature reduction of naval vessels.

5. Ke, H., Peng, Z., Zhou, F., & Chen, T. (2024). Prediction Method and Characteristics of Static Acoustic Scattering from Marine Propellers (船用螺旋桨静态声散射预报方法及特性). Acta Armamentarii (兵工学报). https://doi.org/10.12382/bgxb.2023.0017
ISSN: 1000-1093 | EID: 2-s2.0-85195030656
This article complements previous work on marine acoustics with a focus on propeller noise prediction methods and their implications in underwater acoustics.

Nisarg Purabiarao, Engineering, Best Researcher Award

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Doctorate Nisarg Purabiarao: Research Scholar at Kyushu Institute of Technology, Japan

Purabiarao Nisarg Hirens is a materials science researcher specializing in the development of next-generation biodegradable and wearable electronics. Currently serving as a MEXT-funded Research Scholar at the Kyushu Institute of Technology, Japan, he is actively engaged in designing and optimizing flexible energy devices including piezoelectric nanogenerators and quantum dot solar cells. His research integrates both experimental fabrication and computational simulations to enhance device performance, sustainability, and integration into real-world applications. With publications in high-impact journals and presentations at international conferences, he has emerged as a promising early-career researcher in flexible electronics and sustainable energy systems.

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ORCID Profile

Education

Nisarg is currently completing his Master of Technology in Biodegradable Electronics at the Kyushu Institute of Technology, with an expected graduation in September 2025. He is set to begin his Ph.D. in the same field and institute from October 2025, continuing under the Japanese Government’s MEXT Research Scholarship. His education combines interdisciplinary knowledge in materials science, nanotechnology, organic electronics, and energy harvesting systems. His academic training also includes prior research work at the Indian Institute of Technology, Indore (IIT Indore), where he developed key foundational skills in thin-film fabrication and semiconductor materials.

Research Focus

Nisarg’s primary research revolves around the fabrication and performance enhancement of flexible, biodegradable electronic devices such as piezoelectric nanogenerators, organic thin-film transistors (OTFTs), and quantum dot solar cells. He is especially interested in surface/interface engineering, defect tuning, lattice strain modulation, and polymer semiconductors like P3HT. His work also explores sustainable alternatives in device architecture for environmentally friendly, self-powered systems. The broader objective of his research is to enable practical applications of these devices in areas such as wearable health monitoring, portable energy sources, and green electronics.

Experience

Over the past four years, Nisarg has built a robust profile in both theoretical and applied research. At IIT Indore, he worked on nanomaterials for piezoelectric applications, gaining hands-on experience in hydrothermal synthesis, UV laser texturing, and material characterization. Since joining Kyutech in 2023 as a MEXT Research Scholar, he has led and co-authored several high-impact studies on ZnO-based energy harvesters and quantum dot solar cells. He has collaborated with interdisciplinary teams, presented internationally, and integrated simulation tools like SCAPS-1D to complement experimental findings. His research experience reflects a blend of innovation, sustainability, and practical device engineering.

Research Timeline

Nisarg’s research progression demonstrates a structured and impactful trajectory. In 2022, he began working on nanogenerators using laser-textured substrates at IIT Indore. In 2023, he transitioned to Japan under the MEXT scholarship and joined Kyutech, expanding his scope to include colloidal quantum dots and organic semiconductors. In 2024 alone, he co-authored three journal articles and presented at six notable international conferences, including ISOME and SAES. His Ph.D. starting in October 2025 will focus on biodegradable device integration for real-world wearables and low-power electronics, further pushing the boundary of eco-friendly energy solutions.

Awards & Honors

Nisarg has received multiple accolades recognizing his academic excellence and research contributions. He was awarded the prestigious MEXT Scholarship by the Government of Japan for both his M.Tech and upcoming Ph.D. studies, covering full tuition and research support. He won the Best Poster Award at the International Conference on New Materials for Industry and Medicine (NMIM-24) in 2024 for his work on ZnO-based nanogenerators. He has also been recognized as a lead presenter at several international events across Japan and India for his innovative contributions to the fields of organic semiconductors and piezoelectric energy harvesting.

Top-Noted Publication

Among his notable works, the 2023 publication titled “Investigations on the Effect of Laser Texturing of Kapton Polyimide on the Piezoelectric Response of ZnO-Based Nanogenerators” in Physica Status Solidi A stands out for its pioneering approach in enhancing nanogenerator performance. The study demonstrated a more than threefold improvement in output voltage and current by using laser-textured polyimide substrates, offering a practical path for high-efficiency, flexible energy harvesters. This work has been widely cited and appreciated for its experimental rigor and direct applicability in self-powered electronics and wearable devices.

  • Purabiarao, N. H., Bhargava, K., & Pandey, S. S. (2025). Enhancing the performance of PbS colloidal quantum dot solar cell: A computational study on absorber crystallinity and interfacial defect engineering. Next Materials, 8, 100689. https://doi.org/10.1016/j.nxmate.2025.100689

  • Purabiarao, N. H., Lahane, T. K., Agarwal, J., Sahu, A., Singh, V., & Palani, I. A. (2023). Investigations on the Effect of Laser Texturing of Kapton Polyimide on the Piezoelectric Response of ZnO‐Based Nanogenerators. Physica Status Solidi (a), 2300255. https://doi.org/10.1002/pssa.202300255

Dahai Wang, Engineering, Best Researcher Award

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Doctorate at Dahai Wang: Researcher at Sinopec Petroleum Exploration and Production Research Institute, China

Dahai Wang is a researcher at Sinopec Petroleum Exploration and Production Research Institute, specializing in fine-grained sedimentary reservoir research. With a Ph.D. in Geological Resources and Geological Engineering, he has become a leading figure in petroleum exploration. His expertise lies in geological modeling, reservoir heterogeneity analysis, and the exploration of unconventional gas reservoirs, particularly in the Ordos Basin. Wang’s innovative approach integrates cutting-edge techniques in geological evaluation, enhancing the efficiency of gas field development. He is recognized for his pivotal role in developing strategies that have led to breakthroughs in reservoir characterization, fluid flow mechanisms, and hydraulic fracturing optimization. His research aims to advance understanding in both conventional and unconventional hydrocarbon exploration, with a keen focus on subsalt and helium-rich gas reservoirs.

Online Profiles

ORCID Profile

Dahai Wang maintains a professional digital footprint to stay connected with the global scientific community. His ORCID profile showcases his academic contributions and ongoing research. In addition, his LinkedIn profile offers insights into his professional network and career trajectory, providing a platform to exchange ideas with peers in geological research and petroleum engineering. His online presence serves as a hub for his publications, conference presentations, and collaboration opportunities.

Education

Dahai Wang completed his Ph.D. in Geological Resources and Geological Engineering at Southwest Petroleum University in June 2020. His dissertation focused on the exploration and development of low-permeability oil and gas reservoirs, a subject central to his ongoing research. Wang also holds a postdoctoral entry certificate and other relevant academic certifications that complement his extensive knowledge of petroleum exploration, sedimentary geology, and reservoir engineering. His academic training has positioned him as a thought leader in geological research and exploration technologies, enabling him to make significant contributions to the scientific community.

Research Focus

Wang’s primary research interest is in fine-grained sedimentary reservoirs, particularly their geological modeling, fluid migration mechanisms, and their role in unconventional gas exploration. His recent work delves into subsalt reservoir evaluation, gas reservoir heterogeneity, and the development of helium-rich gas resources in the Ordos Basin. He has pioneered the use of advanced computational techniques to create more accurate reservoir models and predict fluid flow behavior in complex subsurface environments. Additionally, his research is expanding the understanding of the geological conditions necessary for helium enrichment, which is a key area of focus for future energy solutions. His work has practical implications for improving the exploration, development, and sustainability of energy resources.

Experience

Dahai Wang has held key positions in major research projects, first as an engineer at the Research Institute of Petroleum Exploration and Development, CNPC, and now as a researcher at Sinopec Petroleum Exploration and Production Research Institute. During his tenure at CNPC, Wang led the “Demonstration Project for Large Low-Permeability Lithologic Oil and Gas Reservoirs in the Ordos Basin,” focusing on overcoming challenges in reservoir characterization and optimization of hydraulic fracturing techniques. This project led to improvements in production rates and the development of more accurate prediction models for reservoir behavior. Currently, at Sinopec, Wang is leading major science and technology projects that target subsalt reservoirs, Lower Paleozoic gas reservoirs, and helium-rich gas reservoirs. His leadership has resulted in the identification of new exploration targets and improved techniques for assessing subsalt reservoirs, significantly reducing exploration risks.

Research Timeline

  • 2021-2023: As an engineer at CNPC, Wang played a central role in developing an integrated reservoir prediction and fracturing design system. His work contributed to a 10% increase in annual production at the Changqing Oilfield, providing critical insights into reservoir characterization and optimization strategies.
  • 2023-Present: At Sinopec, Wang has spearheaded major research projects targeting the evaluation and development of subsalt Ordovician reservoirs, Lower Paleozoic gas reservoirs, and helium-rich gas accumulations. His research has led to the identification of new exploration targets with over 500 BCM of potential gas resources in the Ordos Basin and has contributed to the discovery of China’s first bauxite-hosted helium reservoir.

Awards & Honors

Wang’s groundbreaking research has earned him several prestigious awards. In 2023, he received Asia’s Outstanding Researcher Award for his contributions to the exploration of unconventional gas reservoirs. He has also been recognized with awards such as the National Scholarship and the China Scholarship Council, showcasing his academic excellence. His research has received accolades for its impact on the petroleum industry, particularly in advancing the understanding of low-permeability and subsalt reservoirs. His ability to tackle complex geological problems has earned him a reputation as an innovator in petroleum research.

Top-Noted Publication

Among his top publications is “Identifying the Key Control Factors of Deep Marine Shale Gas Reservoirs: A Case Study on Lower Cambrian Fine-Grained Sedimentary Rocks in Cen Gong, Guizhou, China,” published in Minerals in May 2025. This paper highlights the key geological factors influencing deep marine shale gas reservoirs and provides a case study of the Lower Cambrian rocks in Southern China. Wang’s research has been widely cited for its insights into shale gas properties and its contribution to optimizing shale gas exploration strategies. Another significant paper, “The Resource Potential and Development Prospect of Helium in Changqing Gas Field,” published in Geofluids in July 2022, discusses the untapped potential of helium resources in the Changqing field, marking a significant step in the exploration of rare gas resources.

Identifying the Key Control Factors of Deep Marine Shale Gas Reservoirs: A Case Study on Lower Cambrian Fine-Grained Sedimentary Rocks in Cen Gong, Guizhou, China
Published in Minerals on May 9, 2025. This article explores the key geological factors that control deep marine shale gas reservoirs, focusing on a case study of Lower Cambrian fine-grained sedimentary rocks in Cen Gong, Guizhou.
DOI: 10.3390/min15050505
Contributors: Dahai Wang, Lichi Ma, Qian Yu, Tao Zhang, Jian Bai, Chuan An, Chuntang Li, Jun Peng

Microscopic Pore Structure Characteristics and Controlling Factors of Marine Shale: A Case Study of Lower Cambrian Shales in the Southeastern Guizhou, Upper Yangtze Platform, South China
Published in Frontiers in Earth Science on April 10, 2024. This paper examines the microscopic pore structure and the controlling factors of marine shale gas reservoirs in the Southeastern Guizhou region of China.
DOI: 10.3389/feart.2024.1368326
Contributors: Ruyue Wang, Yuejiao Liu, Zhi Li, Dahai Wang, Guanping Wang, Fuqiang Lai, Zhihao Li, Jianhua He

The Resource Potential and Development Prospect of Helium in Changqing Gas Field
Published in Geofluids on July 23, 2022. This paper investigates the resource potential of helium in the Changqing Gas Field, offering insights into its future development prospects.
DOI: 10.1155/2022/9094667
Contributors: Dahai Wang, Jinbu Li, Zhanhai Yu, Ji Zhang, Lili Liu, Feng Xiao, Changan Shan

Influence of Organic Matter on Gas-Bearing Properties and Analysis of Sedimentary Mechanism of Organic Matter Enrichment: A Case Study on the Yangtze Region of Southern China During the Early Cambrian
Published in Geofluids on February 4, 2022. This article examines the role of organic matter in gas-bearing properties and analyzes the sedimentary mechanism of organic matter enrichment in the Yangtze region of southern China.
DOI: 10.1155/2022/8714919
Contributors: Qinyu Li, Kun Zhang, Lin Wei, Dahai Wang, Zhiyuan Chen, Xiangdong Yin, Fengli Han, Pei Liu, Liangyi Tang, Xuejiao Yuan

A New Method for Calculating the Cementation Exponent of Triple-Porosity Media Reservoirs
Published in Geofluids on January 10, 2022. This paper introduces a new method for calculating the cementation exponent in triple-porosity media reservoirs, a significant advancement for reservoir evaluation.
DOI: 10.1155/2022/4336067
Contributors: Dahai Wang, Jinbu Li, Lili Liu, Ji Zhang, Zhanhai Yu, Jun Peng

Determination of the Appropriate Value of m for Evaluation of Carbonate Reservoirs With Vugs and Fractures at the Well-Log Scale
Published in Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description on June 1, 2019. This paper presents methods for determining the appropriate value of “m” for evaluating carbonate reservoirs, focusing on those with vugs and fractures at the well-log scale.
DOI: 10.30632/pjv60n3-2019a6
Contributors: Southwest Petroleum University, Dahai Wang, Jun Peng

·  Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs
Published in Sustainability on March 31, 2019. This article discusses the application of a Support Vector Machine algorithm to automatically identify depositional microfacies using well logs, offering a machine learning-based approach for geological studies.
DOI: 10.3390/su11071919
Contributors: Dahai Wang, Jun Peng, Qian Yu, Yuanyuan Chen, Hanghang Yu

Shashi Bhushan, Computer Science, Best Researcher Award

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Doctorate Shashi Bhushan: Senior Lecturer at University Teknologi PETRONAS, Malaysia

Dr. Shashi Bhushan is a highly accomplished Associate Professor at Universiti Teknologi PETRONAS (UTP), Malaysia, affiliated with the Centre for Intelligent Signal and Imaging Research (CISIR). With a robust background in computer science and computational intelligence, he has established himself as a leading researcher in biomedical image processing and signal analysis. Over the years, Dr. Bhushan has developed an interdisciplinary research portfolio that integrates artificial intelligence, deep learning, and medical diagnostics. His work is dedicated to solving real-world problems in healthcare, focusing on automated systems for disease detection, classification, and decision support. He actively collaborates with national and international institutions and contributes as a reviewer and editor for several high-impact scientific journals.

Online Profiles

Google Scholar Profile

ORCID Profile

  • Citations: 703

  • h-index: 17

  • i10-index: 26

Dr. Shashi Bhushan maintains an active online academic presence through several platforms. His UTP official profile provides detailed information on his teaching, research interests, and institutional contributions. His Scopus profile showcases his indexed publications and citation metrics, reflecting the impact of his research. Through his Google Scholar page, readers can track his h-index, i10-index, and recent scholarly contributions. On ResearchGate, Dr. Bhushan actively shares preprints, project updates, and engages with the broader research community. These platforms collectively reflect his research influence and collaborative efforts.

Education

Dr. Bhushan holds a Doctor of Philosophy (Ph.D.) in Computer Science with a specialization in computational and biomedical systems. His doctoral work focused on the development of hybrid intelligent algorithms for image classification and signal processing, particularly in the domain of healthcare analytics. Prior to his Ph.D., he earned a Master’s degree and a Bachelor’s degree in Computer Science and Engineering, where he laid the foundational knowledge in programming, machine learning, and embedded systems. His academic training has enabled him to bridge the gap between traditional computing and next-generation intelligent systems for practical, high-impact applications.

Research Focus

Dr. Bhushan’s research primarily lies in the areas of computational intelligence, machine learning, biomedical image processing, and intelligent signal interpretation. His key interests include the development of AI algorithms for early disease detection, such as brain tumors, breast cancer, and neurodegenerative conditions. He also investigates EEG and ECG signal analysis for predictive diagnostics and real-time monitoring. His recent work focuses on convolutional neural networks (CNNs), hybrid feature extraction techniques, deep belief networks (DBNs), and fuzzy logic systems. With a commitment to practical relevance, his research often results in prototype systems and software tools for medical professionals and researchers.

Experience

Dr. Bhushan brings over 15 years of academic and research experience to his role as Associate Professor at Universiti Teknologi PETRONAS. Throughout his career, he has taken on responsibilities as a lecturer, supervisor, research leader, and technical committee member. He has supervised multiple Ph.D. and Master’s students, and he has published extensively in reputed journals and conferences. Dr. Bhushan has secured numerous research grants and has led projects involving AI-based healthcare applications and intelligent signal systems. Beyond research, he is also active in academic governance, curriculum development, and mentoring young researchers, contributing holistically to academic excellence.

Research Timeline

Dr. Bhushan’s research trajectory reflects continuous growth and innovation. From 2010 to 2015, during his Ph.D. years, he developed hybrid intelligent models for image processing. Between 2016 and 2019, he expanded his work into biomedical applications, specifically targeting brain imaging and EEG-based analysis. From 2020 onward, his focus has been on integrating deep learning with classical signal processing techniques to enhance the accuracy and speed of automated diagnostic systems. His recent work also includes AI-powered frameworks for real-time healthcare monitoring and cross-disciplinary projects involving industrial and academic partners.

Awards & Honors

Dr. Bhushan has received several accolades in recognition of his scholarly contributions. He has been awarded multiple Best Paper Awards at international IEEE and Scopus-indexed conferences. His innovative work in biomedical signal classification earned him research excellence awards from UTP and other collaborating institutions. He has also received prestigious grants and funding from government and industry for leading-edge projects in artificial intelligence and healthcare technology. His research impact is acknowledged globally through invitations as keynote speaker, session chair, and editorial board member of reputed journals.

Top-Noted Publication

Among Dr. Bhushan’s impactful publications, his paper titled “A hybrid model for brain tumor classification using convolutional neural networks and handcrafted features” published in Biomedical Signal Processing and Control stands out. This work combines deep learning with traditional feature extraction to create a robust diagnostic tool capable of classifying complex brain tumor types with high accuracy. The study is widely cited and has influenced subsequent research in AI-assisted medical imaging. It demonstrates Dr. Bhushan’s unique ability to merge theory with clinical relevance, leading to improved decision support tools in radiology and oncology.

  • Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study
    Authors: H Palivela, M Narvekar, D Asirvatham, S Bhusan, V Rishiwal, U Agarwal
    Published in: IEEE Access, 2025
  • Design and Study of Single Array and 2 x 2 Array Patch Array Antenna
    Authors: AR Sharmila, AK Singh, S Bhushan
    Published in: Proceedings of the 4th International Conference on Machine Learning, Advances in …, 2025
  • Beyond Blockchain: Reviewing the Impact and Evolution of Decentralized Networks
    Authors: RKYMK Shashi Bhushan, Sharmila Arunkumar, Neha Goel
    Published in: 2024
  • DeepSplice: A Deep Learning Approach for Accurate Prediction of Alternative Splicing Events in the Human Genome
    Authors: M Abrar, D Hussain, IA Khan, F Ullah, MA Haq, MA Aleisa, A Alenizi, …
    Published in: Frontiers in Genetics, 2024
  • Design and Study of Single Array and 2× 2 Array Patch Array Antenna
    Authors: A Rajeev, AK Singh, S Bhushan, DD Dominic
    Published in: International Conference on Machine Learning, Advances in Computing …, 2024

Andrea Darù, Chemistry, Best Researcher Award

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Doctorate Andrea Darù: Postdoc at The University of Chicago, United States

Andrea Darù, PhD, is a dedicated computational chemist with a deep passion for computational modeling and simulation across inorganic, organic, and biological systems. With over 10 years of experience, he specializes in porous materials design, including Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and other surface materials. Darù has a strong background in quantum chemistry techniques, such as density functional theory (DFT), ab initio methods, and Monte Carlo simulations, and has extended his expertise to machine learning applications in chemistry. His research focuses on the design of novel materials for catalysis and climate solutions, and he is motivated to bridge the gap between computational studies and experimental research. His interdisciplinary approach combines computational chemistry with cutting-edge experimental work, contributing to innovations in catalysis and sustainable energy.

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ORCID Profile

Education

Andrea completed his Ph.D. in Chemistry at KU Leuven in Belgium in 2020, specializing in non-noble metal catalysis and computational simulations of chemical reactions. His doctoral work was part of the Marie Skłodowska-Curie Initial Training Network project, Horizon 2020 NoNoMeCat, where he investigated the role of metal clusters in catalysis. Before his Ph.D., Andrea earned dual Master’s degrees in Chemistry from the University of Zaragoza (Spain) and University of Ferrara (Italy) in 2015 and 2013, respectively. His academic journey provided him with a strong foundation in computational chemistry, leading to his passion for applying computational methods to real-world challenges in catalysis and material science.

Research Focus

Andrea’s primary research interest lies in the computational design of porous materials, particularly Metal-Organic Frameworks (MOFs) and Covalent Organic Frameworks (COFs). His work is geared toward solving global challenges like sustainable energy, carbon capture, and water harvesting. By using advanced computational tools such as DFT, Monte Carlo simulations, and machine learning, he explores the thermo- and electro-catalytic processes in CO2 conversion, aiming to create novel materials for energy storage and environmental solutions. His other research areas include molecular qubits for quantum computing, catalysis mechanisms, and the development of tools for high-throughput screening of potential framework materials. He also curates extensive databases of porous materials, contributing to the open science movement.

Experience

Andrea Darù’s postdoctoral work at the University of Chicago (2022 – present) focuses on the development of generative tools for rapid identification and design of novel reticular frameworks, particularly those suited for CO2 conversion and water harvesting. His work has led to the conceptualization of a novel iron-sulfur-based coordination polymer for electrocatalysis, and his contributions to the field of COF design have influenced both academia and industry. Prior to this, Andrea was a Postdoctoral Associate at Scripps Research (2020 – 2022), where he led computational studies on metal-catalyzed reactions, optimizing reaction conditions and developing microkinetic models to understand catalytic mechanisms. His Ph.D. research at KU Leuven (2016 – 2020) focused on non-noble metal catalysis in cross-coupling reactions, uncovering new insights into the catalytic role of iron clusters, which challenged existing paradigms in catalysis. Andrea also completed an internship at Syngenta (Switzerland) in 2018, where he employed Fukui functions to develop descriptors for organic molecule databases.

Research Timeline

  • Dec 2022 – Present: Postdoctoral Researcher at The University of Chicago, working on developing generative tools for materials discovery, CO2 conversion catalysis, and COF-based atmospheric water harvesting.
  • Oct 2020 – Dec 2022: Postdoctoral Associate at Scripps Research (San Diego), focusing on computational modeling of metal-catalyzed reactions, including ligand design and microkinetic modeling.
  • Apr 2016 – Sep 2020: Doctoral Researcher at KU Leuven (Belgium), specializing in non-noble metal catalysis and computational simulations for cross-coupling reactions.
  • Jan – Mar 2018: Intern at Syngenta (Switzerland), developing a database of organic molecules using Fukui functions as molecular descriptors.

Awards & Honors

Andrea has been recognized for his excellence in research and mentorship. In 2024, he received the Maria Lastra Postdoctoral Scholar Excellence in Mentoring Award (Honorable Mention) from the University of Chicago, highlighting his commitment to fostering the next generation of scientists. In 2023, he earned a certificate in Entrepreneurship for Science and Medicine from the University of Chicago Booth School of Business, expanding his understanding of the commercial application of scientific research. Andrea also recently completed the AI Agents Fundamentals certification from Hugging Face in February 2025, reflecting his growing interest in the intersection of AI and computational chemistry.

Top-Noted Publication

Andrea Darù has authored several highly cited papers, particularly in the field of catalysis and porous materials design. Notably, his paper “Symmetry is the Key to the Design of Reticular Frameworks” (Advanced Materials, 2025) explores the role of symmetry in the rational design of reticular frameworks. Another highly impactful publication, “Pinpointing the Onset of Water Harvesting in Reticular Frameworks from Structure” (ACS Central Science, 2025), delves into the design principles that enable effective atmospheric water harvesting using COFs. His work on iron-catalyzed Kumada cross-coupling reactions, “Iron-catalyzed Kumada Cross-coupling Reaction Involving Fe8Me12- and Related Clusters: A Computational Study” (ACS Catalysis, 2022), challenged traditional concepts in metal catalysis and remains a reference in the field.

 

Symmetry is the Key to the Design of Reticular Frameworks
Advanced Materials | May 2, 2025 | DOI: 10.1002/adma.202414617

Contributors: Andrea Darù, John S. Anderson, Davide M. Proserpio, Laura Gagliardi

This paper discusses the crucial role of symmetry in the rational design of reticular frameworks (such as MOFs and COFs), providing computational insights into how symmetry can guide the creation of functional materials with tailored properties. The work aims to accelerate the discovery of novel materials with applications in catalysis and energy storage.

Designing Molecular Qubits: Computational Insights into First-Row and Group 6 Transition Metal Complexes
Preprint | April 8, 2025 | DOI: 10.26434/chemrxiv-2025-3tg1x-v3

Contributors: Arturo Sauza-de la Vega, Andrea Darù, Stephanie Nofz, Laura Gagliardi

This preprint provides valuable computational insights into the design of molecular qubits using first-row and group 6 transition metal complexes. The paper presents potential pathways for advancing quantum computing with molecular systems, offering a deep dive into electronic structure and qubit properties.

Electronically Tunable Low-Valent Uranium Metallacarboranes
Inorganic Chemistry | March 17, 2025 | DOI: 10.1021/acs.inorgchem.4c04431

Contributors: Kent O. Kirlikovali, Alejandra Gómez-Torres, Arturo Sauza-de la Vega, Andrea Darù, Matthew D. Krzyaniak, Palak Garg, Christos D. Malliakas, Michael R. Wasielewski, Laura Gagliardi, Omar K. Farha

This publication delves into uranium metallacarboranes and their potential as electronically tunable materials. The work explores their unique chemical properties and how these can be controlled for use in various applications, including catalysis and energy storage.

Pinpointing the Onset of Water Harvesting in Reticular Frameworks from Structure
ACS Central Science | February 17, 2025 | DOI: 10.1021/acscentsci.4c01878

Contributors: Ha L. Nguyen, Andrea Darù, Saumil Chheda, Ali H. Alawadhi, S. Ephraim Neumann, Lifen Wang, Xuedong Bai, Majed O. Alawad, Christian Borgs, Jennifer T. Chayes, et al.

This paper explores the structural basis for water harvesting in reticular frameworks, aiming to uncover how certain materials can be engineered for effective atmospheric water capture. The research has significant implications for sustainable water production in arid regions.

Designing Molecular Qubits: Computational Insights into First-Row and Group 6 Transition Metal Complexes
Preprint | February 5, 2025 | DOI: 10.26434/chemrxiv-2025-3tg1x-v2

Contributors: Arturo Sauza-de la Vega, Andrea Darù, Stephanie Nofz, Laura Gagliardi

This earlier version of the preprint provides foundational insights into the computational design of molecular qubits, offering a path forward in the development of quantum computing materials that utilize transition metal complexes.

Ronald Ranguin, Environmental Science, Best Researcher Award

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Doctorate at  Ronald Ranguin: Project manager at Skillcell, France

Dr. Ronald Ranguin is an accomplished French environmental chemist renowned for his pioneering work in the detection and remediation of hazardous pollutants, particularly the pesticide chlordecone. He earned his PhD in Environmental Chemistry from the Université des Antilles, where he focused on optimizing methods for quantifying chlordecone and developing innovative degradation processes using hybrid materials. With a passion for improving environmental health, Dr. Ranguin’s current role as Project Manager at Skilcell involves advancing research on remediation technologies, where he integrates his academic expertise and hands-on experience to tackle the environmental challenges posed by toxic pollutants.

Online Profiles

ORCID Profile 

Dr. Ranguin maintains an active presence on academic platforms such as ResearchGate and LinkedIn. His profiles serve as a resource for colleagues, collaborators, and students interested in his research on environmental chemistry and remediation techniques. Through these platforms, he shares updates on his projects, publications, and breakthroughs in the field, fostering greater engagement with the global scientific community. His professional online presence also offers opportunities for networking, collaboration, and sharing valuable knowledge with those in related fields.

Education

Dr. Ranguin completed his doctoral studies at Université des Antilles, earning his PhD in Environmental Chemistry from 2011 to 2015. His dissertation focused on the optimization of chlordecone quantification techniques and the development of innovative degradation processes using hybrid materials like activated carbon combined with cobalamine (vitamin B12). This foundational research laid the groundwork for his later studies in environmental pollution and soil remediation, helping him develop specialized expertise in the field of environmental chemistry. His academic journey has been marked by a commitment to creating sustainable solutions to address environmental contamination.

Research Focus

Dr. Ranguin’s research interests lie at the intersection of environmental chemistry, pollution detection, and sustainable remediation technologies. His primary focus is on the environmental impact of chlordecone, a toxic pesticide, and developing methods to reduce its presence in contaminated soils. He investigates the use of novel materials, including activated carbon derived from local biomass, to remove pollutants from the environment. His work aims to create cost-effective and environmentally friendly solutions to mitigate soil and water contamination, particularly in tropical and subtropical regions. Dr. Ranguin’s interdisciplinary approach brings together materials science, environmental chemistry, and biochemistry for the development of advanced remediation technologies.

Experience

Dr. Ranguin has garnered extensive experience working in both academic and industrial settings. As a Project Manager at Skilcell since 2019, he has been at the forefront of developing innovative detection and remediation technologies to address chlordecone contamination in various environmental media. Prior to this, he worked as a Research Engineer at Université des Antilles, where he was involved in optimizing the process of producing activated carbon from local biomass materials for use in pollution control. His doctoral research provided him with the necessary skills to design and implement cutting-edge strategies for environmental remediation, positioning him as a leader in the field of environmental chemistry.

Research Timeline

Dr. Ranguin’s research career has evolved significantly over the past decade. Between 2011 and 2015, he worked intensively on his doctoral thesis at Université des Antilles, which focused on improving the detection and degradation processes for chlordecone. Following the completion of his PhD, he transitioned to a Research Engineer position at Université des Antilles from 2016 to 2019, where he led projects to optimize the production of activated carbon from biomass. In 2019, he moved into the role of Project Manager at Skilcell, where his work continues to advance the field of environmental remediation. His research timeline reflects his ongoing dedication to combating soil contamination and improving environmental health.

Awards & Honors

Dr. Ranguin’s work has garnered significant recognition in the scientific community, with several awards and honors underscoring his contributions to the field of environmental chemistry. His research on the development of hybrid materials for pollutant remediation has been widely published in peer-reviewed journals, earning accolades for its impact on environmental science. His interdisciplinary approach and the practical applications of his work have earned him respect among researchers and industry professionals alike. He has been a driving force in promoting sustainable environmental solutions, particularly in regions heavily affected by toxic pesticide contamination.

Top-Noted Publication

Dr. Ranguin has published several impactful research papers, with one of his most notable works being titled “Development and characterization of a nanostructured hybrid material with vitamin B12 and bagasse-derived activated carbon for anaerobic chlordecone (Kepone) removal”, published in Environmental Science and Pollution Research in 2020. This study represents a major breakthrough in the field of environmental remediation, highlighting the potential of hybrid nanomaterials for effectively removing chlordecone from contaminated environments. The innovative approach detailed in this publication provides a promising pathway for improving environmental health and managing toxic pesticide contamination in soil and water.

  • Adsorption of Vitamin B12 on Sugarcane-Derived Activated Carbon: Fractal Isotherm and Kinetics Modelling, Electrochemistry and Molecular Modelling Studies
    Molecules, 2025-05-08 | DOI: 10.3390/molecules30102096
    Contributors: Ronald Ranguin, Mohamed Chaker Ncibi, Corine Jean-Marius, François Brouers, Gerardo Cebrián-Torrejón, Antonio Doménech-Carbó, Steffen Souila, José-Emilio Sánchez-Aparicio, Daniel Dorce, Iker Zapirain-Gysling et al.
  • Carbon Materials Prepared from Invading Pelagic Sargassum for Supercapacitors’ Electrodes
    Molecules, 2023-08-04 | DOI: 10.3390/molecules28155882
    Contributors: Sandra Roche, Christelle Yacou, Corine Jean Marius, Ronald Ranguin, Marckens Francoeur, Pierre-Louis Taberna, Nady Passe-Coutrin, Sarra Gaspard.
  • In vitro and in vivo assessment of a CLD sequestration strategy in Nitisol using contrasted carbonaceous materials
    Environmental Geochemistry and Health, 2021-10-22 | DOI: 10.1007/s10653-021-01108-5
    Contributors: Ronald Ranguin, et al.
  • Biochar and activated carbons preparation from invasive algae Sargassum spp. for Chlordecone availability reduction in contaminated soils
    Journal of Environmental Chemical Engineering, 2021-08 | DOI: 10.1016/j.jece.2021.105280
    Contributors: Ronald Ranguin, et al.
  • Development and characterisation of a nanostructured hybrid material with vitamin B12 and bagasse-derived activated carbon for anaerobic chlordecone (Kepone) removal
    Environmental Science and Pollution Research, 2020-11 | DOI: 10.1007/s11356-020-08201-9
    Contributors: Ronald Ranguin, et al.

Zirun Chen, Marine Science, Best Researcher Award

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Dr. Zirun Chen: Lecturer at Beibu Gulf University, China

Dr. Zirun Chen is a highly accomplished Lecturer at Beibu Gulf University, specializing in polymer chemistry and physics. Holding a Ph.D. from Sun Yat-sen University, he has a robust academic background with a focus on the development and application of Schiff base polymers and porous carbon materials. Over the years, Dr. Chen has led multiple provincial research projects and played a pivotal role in various national collaborations. His work has resulted in over eight peer-reviewed publications in SCI journals, as well as three patents. His primary research interests lie in addressing global challenges in water treatment and energy storage by developing advanced functional materials with tailored properties.

Online Profiles

Scopus Profile

Total Documents: 15
Total Citations: 482 (from 477 documents)
h-index: 9

To stay connected with Dr. Zirun Chen’s academic contributions, you can explore his research profiles through the following platforms:

  • Scholarmate: Profile Link

  • Beibu Gulf University: Faculty Profile
    These profiles provide detailed insights into his research publications, ongoing projects, and academic background, showcasing his work in polymer chemistry and materials science.

Education

Dr. Chen completed his undergraduate studies in Chemistry before pursuing advanced research in Polymer Chemistry and Physics at Sun Yat-sen University. His Ph.D. work involved exploring the properties of polymeric materials with a specific emphasis on their design and application in various engineering fields. Throughout his academic career, Dr. Chen has maintained a strong focus on advancing both the theoretical and practical aspects of polymer materials, particularly in their application to solve real-world challenges in energy storage and environmental protection.

Research Focus

Dr. Chen’s research is primarily focused on the design and application of Schiff base polymers and porous carbon materials. His work aims to optimize the properties of these materials for specific applications in environmental remediation and energy storage. Dr. Chen’s group has developed innovative methods to control the morphology and surface chemical structure of carbon materials, improving their performance in water treatment systems and energy conversion/storage technologies. His research is highly interdisciplinary, bridging materials science, chemistry, and engineering to address critical global issues.

Experience

With extensive research experience, Dr. Chen has successfully led three provincial research projects and participated in a total of seven collaborative research initiatives. His expertise in polymer chemistry has led to the development of novel materials with a wide range of applications in industry and academia. Dr. Chen’s contributions include eight SCI-indexed publications, two EI-indexed papers, and three patents. His professional involvement also extends to consultancy and industry partnerships, where he applies his academic expertise to solve practical problems in materials science.

Research Timeline

Dr. Chen’s research career began with his doctoral studies at Sun Yat-sen University, where he first explored the potential of Schiff base polymers for energy-related applications. After completing his Ph.D., he continued to refine his expertise by focusing on the synthesis and application of carbon-based materials for water treatment and energy storage. Over the years, Dr. Chen has collaborated with both domestic and international researchers to develop cutting-edge materials that can be used for environmental protection and energy storage, resulting in an impactful body of work in these fields.

Awards & Honors

Dr. Chen has received numerous awards for his academic and research excellence. Notably, he has been recognized for his contributions to the development of novel polymer materials and their applications in energy and environmental sectors. He has won several provincial-level awards for research excellence and project leadership, underscoring the significance of his contributions to the field of polymer chemistry. In addition to academic recognition, Dr. Chen is a respected member of the Chinese Chemical Society, reflecting his standing within the scientific community.

Top-Noted Publication

A standout publication by Dr. Chen is featured in the prestigious journal Molecules: “Development of Schiff Base Polymers and Their Application in Water Treatment and Energy Storage” (2024, MDPI). This work is considered a seminal paper in the field, as it outlines a novel methodology for modifying the structure and surface chemistry of carbon materials derived from Schiff base polymers. The paper has received considerable attention for its potential impact on improving the efficiency of water treatment processes and enhancing energy storage systems. This publication reflects Dr. Chen’s ability to push the boundaries of current material science toward practical, real-world applications.

Title: Facile synthesis of atomic Fe anchored on defected carbon spheres with high N/S content for sodium-ion batteries
Journal: Electrochimica Acta (2025)
Authors: Wu, Zhen; Xiong, Yuang; Teng, Xin; Yin, Yanzhen; Chen, Zirun
This article presents a novel method for the development of advanced anode materials in sodium-ion batteries, utilizing defect-engineered carbon spheres with high nitrogen and sulfur content. Dr. Chen’s contributions to this study showcase his growing involvement in next-generation energy storage solutions, extending beyond water treatment into battery material innovation.

Huan Yi, Business Administration, Best Researcher Award

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Huan Yi: student at School of Business Administration, Hunan University of Technology and Business, China

Huan Yi is a dedicated master’s student at the School of Business Administration, Hunan University of Technology and Business, specializing in consumer behavior and autonomous driving. Born in December 2000 in You County, Hunan Province, she is also a member of the Chinese Communist Party. Her academic journey reflects a passion for both research and teaching, where she has published extensively and contributed to various projects involving technological innovation and transportation management. With a strong foundation in both theoretical knowledge and practical applications, she aims to bridge the gap between academia and industry in her chosen fields.

Online Profiles

Scopus Profile

Citations: 8 citations across 8 documents
Documents: 2 published documents
h-index: 1

Huan Yi maintains an active online presence through academic platforms like ResearchGate, where she shares her latest publications and research insights. She also uses LinkedIn to engage with professionals and scholars worldwide, expanding her network in the fields of autonomous driving and consumer behavior. These platforms enable her to stay connected with the global academic community, collaborate on research projects, and stay updated on the latest trends in her area of expertise. Her profiles are a valuable resource for anyone interested in her research or potential collaborations.

Education

Huan Yi is currently pursuing a master’s degree at the School of Business Administration at the Hunan University of Technology and Business. Her educational path has provided her with a comprehensive understanding of business administration, technological innovation, and management, with a particular emphasis on autonomous vehicles and consumer behavior. Prior to her graduate studies, she completed her undergraduate education in Hunan Province, where she laid the groundwork for her future research in technology and management.

Research Focus

Huan Yi’s research primarily focuses on consumer behavior and the dynamics of autonomous driving technologies. She is particularly interested in understanding the adoption of Robo-taxis, integrating theories from economics, psychology, and sociology. Her work addresses the turnover intention of online ride-hailing drivers and the factors influencing driver satisfaction in the context of digital platforms. By examining both psychological and social factors, her research seeks to provide insights into improving technology adoption and management strategies in transportation sectors.

Experience

Huan Yi has extensive experience in teaching and research. She has taught at Hunan Business Vocational and Technical College and Modern Logistics Vocational and Technical College, offering courses like E-commerce Fundamentals and Applications and Transportation Management. Her teaching experience has been recognized with awards such as the outstanding instructor honor. Additionally, Huan Yi has worked on various research projects, contributing to commissioned studies by the Hunan Provincial Department of Commerce and engaging in technical consultations. She has also filed 2 patents and secured 3 software copyrights, demonstrating her ability to apply her research practically.

Research Timeline

  • 2021: Began preliminary research on online ride-hailing driver turnover, identifying key factors contributing to high turnover rates.

  • 2022: Published her first SSCI paper on the psychological and economic drivers of driver turnover in online ride-hailing services, which was later cited in industry reports.

  • 2023: Extended her research to include Robo-taxi adoption, integrating sociological and psychological factors within an extended UTAUT2 framework.

  • 2024: Published her high-impact study in Transportation Research Part A: Policy and Practice and applied for 2 patents in the area of transportation technology.

Awards & Honors

Huan Yi has received multiple accolades throughout her academic career. These include recognition as an outstanding member of the Chinese Communist Party and outstanding instructor for her contributions to education. She was also awarded the prestigious national graduate scholarship, which recognizes top graduate students for their academic excellence and contributions to research and teaching. Her efforts have been acknowledged both within her university and in the broader academic community.

Top-Noted Publication

One of Huan Yi’s most significant publications is the paper titled “What drives the drivers away? An empirical study on the factors influencing the turnover intention of full-time online ride-hailing drivers in China”, published in Transportation Research Part A: Policy and Practice in 2024. The study, co-authored with leading scholars, examines the underlying factors contributing to the high turnover rate among ride-hailing drivers in China, offering actionable insights for platform managers and policymakers. This paper, which was published in an SCI Q1 journal with an impact factor of 6.30, is highly regarded for its in-depth analysis and contribution to transportation research.

Hongbing Song, Chemistry, Best Researcher Award

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Prof. Dr. Hongbing Song: Professor at Qingdao University of Science and Technology, China

Hongbing Song is a Professor at Qingdao University of Science and Technology, specializing in green chemistry, catalytic materials, and sustainable chemical processes. With a strong background in molecular design and synthesis, his work aims to develop efficient catalysts for cleaner and more sustainable industrial applications.

He has published over 80 SCI-indexed papers in high-impact journals and has contributed significantly to the field of catalysis. In addition to his research, he actively participates in peer review for top-tier journals, ensuring the advancement of scientific knowledge in his domain.

Online Profiles

ORCID Profile

Scopus Profile

Dr. Hongbing Song is affiliated with Qingdao University of Science and Technology and has an extensive research portfolio in catalysis and materials science. His contributions have been widely recognized in the scientific community.

Total Citations

Dr. Song’s work has received 1,843 citations from 1,581 documents, highlighting the influence of his research in catalysis, nanomaterials, and chemical engineering.

Total Publications

He has authored 99 scientific papers, contributing significantly to high-impact journals, including ACS Applied Materials & Interfaces, Molecular Catalysis, and Fuel.

h-index

Dr. Song holds an h-index of 24, reflecting both the quantity and quality of his research publications. This metric signifies that at least 24 of his papers have been cited 24 times or more, indicating a strong research impact.

Education

Hongbing Song earned his Bachelor of Science degree from Hubei University of Technology, where he developed a strong foundation in chemical engineering and materials science. His undergraduate research sparked his interest in catalysis and sustainable chemistry, leading him to pursue further studies.

He completed his Ph.D. at South China University of Technology, where he focused on catalytic materials and reaction mechanisms. During his doctoral studies, he had the opportunity to conduct joint research at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. This international experience enriched his expertise and exposed him to advanced catalytic technologies.

His training at EPFL allowed him to work with leading scientists in the field, further strengthening his research capabilities in catalyst design and application.

Research Focus

Hongbing Song’s research revolves around the molecular design and synthesis of catalytic materials, aiming to develop environmentally friendly catalysts for industrial applications. His work integrates principles of green chemistry to enhance catalytic efficiency and reduce harmful byproducts.

One of his key research areas is the development of novel nanostructured catalysts for biomass conversion and hydrogen production. These catalysts play a crucial role in sustainable energy solutions, addressing global energy and environmental challenges.

He is also interested in heterogeneous catalysis, particularly in oxidation and hydrogenation reactions. By designing highly active and selective catalysts, he aims to improve the efficiency of chemical processes used in the production of fuels and fine chemicals.

Additionally, his work explores catalytic reaction mechanisms using in situ characterization techniques. Understanding these mechanisms at the molecular level enables the optimization of catalyst performance for industrial applications.

Experience

After earning his Ph.D., Hongbing Song joined Qingdao University of Science and Technology as a Lecturer, where he continued his research on catalytic materials and sustainable processes. His dedication to teaching and research quickly earned him recognition within the academic community.

In 2016-2017, he conducted research at the National University of Singapore, where he collaborated with leading scientists on advanced catalytic materials. This experience broadened his expertise and allowed him to apply his knowledge to real-world industrial challenges.

In 2017, he was promoted to Associate Professor, reflecting his contributions to research and education. He played a key role in mentoring students and leading research projects focused on green catalysis and sustainable chemical engineering.

His continued excellence in research and teaching led to his promotion to full Professor in 2021. Currently, he leads several research projects funded by national and international agencies, focusing on the development of next-generation catalysts for clean energy and environmental applications.

Research Timeline

  • 2010-2012: Conducted joint Ph.D. research at EPFL, Switzerland, focusing on catalyst synthesis and characterization.
  • 2012: Earned Ph.D. from South China University of Technology, specializing in green catalysis.
  • 2012: Joined Qingdao University of Science and Technology as a Lecturer, initiating independent research on catalytic materials.
  • 2016-2017: Worked as a visiting researcher at the National University of Singapore, expanding his expertise in nanostructured catalysts.
  • 2017: Promoted to Associate Professor, leading multiple research projects on sustainable catalysis.
  • 2021: Promoted to full Professor, overseeing research in catalytic materials for energy and environmental applications.

Awards & Honors

Hongbing Song has received multiple research grants from the National Natural Science Foundation of China (NSFC) and other funding agencies, supporting his work on advanced catalytic materials. His contributions have been recognized through various national and international awards.

He holds several patents related to catalytic materials and separation technologies, demonstrating the practical impact of his research. These patents contribute to industrial applications, particularly in energy and environmental sectors.

As a respected reviewer for journals such as ACS Catalysis and Applied Catalysis B: Environmental, he plays a crucial role in maintaining research quality in the field of catalysis. His expertise is frequently sought for evaluating cutting-edge research in green chemistry and sustainable processes.

Top-Noted Publications

  1. Regulation of Oil/Water Separation Using Pyridinium-Based Poly(ionic liquid)s with Prewetted Induced Responsive Transition
    ACS Applied Materials & Interfaces, 2025 (DOI: 10.1021/acsami.4c17987)

    • Developed a novel poly(ionic liquid)-based system for efficient oil/water separation, enhancing industrial wastewater treatment and environmental sustainability.

  2. A Broad-Spectrum Oxidation Capability Ru-CeO₂ Catalyst for Efficient Synergistic Selective Oxidation of Benzyl Alcohol
    Molecular Catalysis, 2024 (DOI: 10.1016/j.mcat.2024.114383)

    • Designed a Ru-CeO₂ catalyst with enhanced oxidation activity, providing insights into synergistic catalytic mechanisms for selective oxidation reactions.

  3. One-Step Synthesis of BiOCl/Bi₄NbO₈Cl Heterostructures with High-Purity and Enhanced Photocatalytic Activities via In-Situ Room-Temperature Acid-Etching
    Molecular Catalysis, 2024 (DOI: 10.1016/j.mcat.2024.113979)

    • Developed a novel heterostructured photocatalyst with improved performance in environmental remediation and solar energy conversion.

  4. Oxidative Esterification of 5-Hydroxymethylfurfural to Dimethyl 2,5-Furandicarboxylate over Au-Supported Poly(ionic liquid)s
    Fuel, 2024 (DOI: 10.1016/j.fuel.2023.130354)

    • Investigated gold-supported poly(ionic liquid)s for the oxidative esterification of biomass-derived compounds, contributing to sustainable chemical production.

  5. Green and Designable Deep Eutectic Solvents for Extraction Separation of Oxygenated Compounds in Fischer-Tropsch Oil Products: Hydrogen Bond Descriptors and Structure–Activity Study
    Separation and Purification Technology, 2024 (DOI: 10.1016/j.seppur.2023.125540)

    • Developed hydrogen bond-based deep eutectic solvents for efficient extraction of oxygenated compounds, enhancing the purity of fuel products.