Sushil Kumar Sharma | Chemistry | Best Researcher Award

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Dr. Sushil Kumar Sharma | Chemistry | Best Researcher Award

Dr. Sushil Kumar Sharma is an Assistant Professor in the Department of Pure & Applied Chemistry at the University of Kota, India. With over 17 years of teaching and research experience, he specializes in electrochemistry, corrosion protection, nanocomposite materials, and polymer chemistry. He has supervised multiple Ph.D. and M.Sc. students and completed significant research projects funded by UGC and BRNS. Dr. Sharma has published extensively in high-impact journals and holds three patents. His contributions to the field include pioneering studies in metal protection, electrochemical applications, and sustainable material development. He is an active member of several scientific associations and serves as a reviewer for reputed journals. Apart from academics, he is also involved in community service as an NSS Program Officer at the University of Kota. His dedication to research and education has made him a well-recognized scholar in the field of chemistry.

Profile

Education 🎓

Dr. Sushil Kumar Sharma completed his Ph.D. in Electrochemistry from the University of Rajasthan, Jaipur, in 2011. He qualified for the CSIR-JRF in 2005 and the NET/LS exam three consecutive times (2004, 2004, and 2005). His postgraduate studies in Chemistry were also at the University of Rajasthan, Jaipur, where he obtained his M.Sc. degree in 2004. He earned his B.Sc. degree from Maharaja’s College, University of Rajasthan, Jaipur, in 2002. His strong academic background, combined with competitive national-level qualifications, laid the foundation for his extensive research in electrochemistry, corrosion protection, and material sciences. Additionally, he successfully qualified for GATE in 2005, further proving his excellence in chemical sciences.

Experience 👨‍🏫

Dr. Sharma has 17+ years of teaching and research experience. He has been serving as an Assistant Professor at the University of Kota, Rajasthan, since August 6, 2012. Before this, he worked as an Assistant Professor in the Department of Chemistry at Government Engineering College, Jhalawar, from September 1, 2007, to August 6, 2012. His academic career involves teaching undergraduate and postgraduate chemistry courses, guiding research scholars, and undertaking major research projects. His research interests span corrosion protection, nanocomposites, and polymer chemistry, contributing significantly to material science advancements. In addition to his teaching duties, he plays an active role in university administration and academic committees.

Awards & Recognitions 🏅

Dr. Sharma has received numerous academic and research accolades. He has three published patents and has qualified for CSIR-UGC NET-JRF (2005) and NET/LS three times. He cleared GATE in 2005, demonstrating his proficiency in chemical sciences. He has completed two major funded research projects, including one from BRNS-BARC Mumbai and another from UGC New Delhi. He actively contributes to professional organizations, holding memberships in the Indian Science Congress Association, the Indian Chemical Society, and the Indian Society for Technical Education. He also serves as a reviewer for esteemed journals like the Journal of Electroanalytical Chemistry and Carbohydrate Chemistry.

Research Interests 🔬

Dr. Sharma’s research primarily focuses on corrosion protection, developing innovative coatings and inhibitors to enhance metal durability. He also works extensively in nanoparticle chemistry, exploring applications of nanocomposites in material science. His studies in polymer chemistry focus on synthesizing eco-friendly and sustainable materials for industrial applications. He has contributed significantly to electrochemical research, particularly in green chemistry applications. His projects include uranium distribution studies in groundwater and the synthesis of bioactive chiral alcohols. His interdisciplinary research integrates chemistry with environmental science, contributing to sustainable solutions for industrial and ecological challenges.

Publications 

  • Synthesis of Graphene Oxide and Impact of Its Functionalization in the Wastewater Treatment

    Chemical Engineering & Technology
    2025-03-31 | Journal article
    DOI: 10.1002/ceat.70009
    CONTRIBUTORS: Sushil Kumar Sharma; Shobhana Sharma

  • Disposition of Uranium and Other Heavy Metals in the Groundwater in the Baran District of Rajasthan, India

    Journal of Sustainable Water in the Built Environment
    2025-02 | Journal article
    DOI: 10.1061/JSWBAY.SWENG-598
    CONTRIBUTORS: Ashu Rani; Ramet Meena; Kiran Parashar; Shobhana Sharma; Ankit Sharma; Nepal Chandra Mondal; Sushil Kumar Sharma

  • Anticorrosive action of eco-friendly plant extracts on mild steel in different concentrations of hydrochloric acid

    Corrosion Reviews
    2024 | Journal article
    DOI: 10.1515/corrrev-2023-0053

  • Encapsulation of Metal/Metal Oxide Nanoparticles as Corrosion Inhibitors

    Encapsulated Corrosion Inhibitors for Eco-Benign Smart Coatings
    2024 | Book chapter
    Part ofDOI: 10.1201/9781032677255-3

  • Evaluation of inhibition performance of methylimidazolium ionic liquids on surface of mild steel in sulfuric acid

    Surface and Coatings Technology
    2024 | Journal article
    DOI: 10.1016/j.surfcoat.2024.130875

Wang Xi | Flame retardant Polymer | Best Researcher Award

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Prof Dr. Wang Xi | Flame retardant Polymer | Best Researcher Award

Dr. Wang Xi 🎓, an Associate Professor and Master’s Supervisor, specializes in environmentally friendly high-performance flame-retardant materials and rare earth permanent magnetic materials. Since 2014, he has been actively engaged in research and academia, publishing over 20 SCI-indexed papers with 400+ citations 📚. He has also authored a monograph and secured 3 national invention patents. Currently, he is leading multiple funded projects focused on flame-retardant mechanisms. His contributions to materials science earned him a spot in the 2024–2026 Young Talent Support Program by the Beijing Association for Science and Technology. 🚀

Profile

Education 🎓

Dr. Wang Xi completed his Ph.D. in Materials Science and Engineering from Beijing University of Technology in June 2021 🏛️. His doctoral research focused on advanced flame-retardant materials and high-performance magnetic materials. His academic journey has been driven by a passion for developing innovative and sustainable materials with enhanced safety and efficiency. Over the years, he has collaborated with leading researchers and institutions, refining his expertise in polymer science, material durability, and combustion-resistant materials. His academic foundation has paved the way for cutting-edge advancements in both the academic and industrial domains. 🎓🔬

Experience 👨‍🏫

With over a decade of research experience, Dr. Wang Xi has made significant contributions to materials science, particularly in flame-retardant polymers and rare earth permanent magnetic materials. Since 2014, he has been engaged in extensive applied research, securing national and institutional funding for groundbreaking projects. As a faculty member, he mentors graduate students and supervises innovative research projects 🔬. His work has been published in high-impact journals, contributing valuable insights into material performance and fire safety. Additionally, he has played a key role in technology transfer, bridging academic research with industrial applications. His expertise continues to influence emerging trends in advanced materials.

Research Interests 🔬

Dr. Wang Xi specializes in environmentally friendly high-performance flame-retardant materials and high-performance rare earth permanent magnetic materials. His research aims to develop advanced materials that enhance fire safety while maintaining mechanical integrity. His recent projects focus on elastic flame-retardant cluster particles and phosphorus-containing synergistic compounds 🔥. He is the principal investigator for multiple funded studies, including the Beijing Natural Science Foundation General Program, which explores high-performance ABS resin modifications. His work combines polymer chemistry, nanotechnology, and material engineering to address real-world challenges in fire-resistant and high-performance materials. 🚀

Awards & Recognitions 🏅

Dr. Wang Xi’s contributions to materials science have been widely recognized. In 2023, he was selected for the 2024–2026 Young Talent Support Program by the Beijing Association for Science and Technology 🌟. His research achievements, including 20+ SCI-indexed publications and 400+ citations, have established him as a leading researcher in his field 📖. He has also secured 4 national invention patents (3 authorized) for his innovative work in flame-retardant materials. His academic excellence and impactful research have earned him multiple grants and institutional recognitions, further solidifying his reputation as a distinguished scientist. 🏅

Publications 📚

  • [1] Fengshuai Zhou, Wei Tang, Wang Xi*, Lijun Qian*, Jingyu Wang, Yong Qiu, Yajun Chen. Improving the fracture toughness, flame retardancy and smokesuppression of ABS by core-shell elastic flame retardant particles with P/Si
    synergistic effect[J]. Polymer Degradation Stability, 2024, 228, 110893.
  • [2] Wang Xi, Hongguo Zhang, Meijun Li, Weiqiang Liu, Ming Yue. The enhancedoxidation resistance of zinc-coated Nd-Fe-B spherical powders using a rotationcoating technique[J]. Journal of Magnetism and Magnetic Materials, 2024, 597, 171995.
  • [3] Junxiao Li, Lijun Qian*, Wang Xi*, Jingyu Wang, Yong Qiu, Yajun Chen, Wei
    Tang. Alloying synergistic flame retardant effect on PA6 by polyimide containingalkyl hypophosphate structure[J]. European Polymer Journal, 2024, 211, 113033.
  • [4] Fengshuai Zhou, Wang Xi*, Lijun Qian*, Jingyu Wang, Yong Qiu, Yajun Chen. Hexaphenoxy cyclotriphosphazeneboron nitride high efficiency charring systemenhancing the flame retardancy and thermal conductivity of polycarbonate[J]. Polymer Degradation and Stability, 2024, 219, 110601.
  • [5] Yang Zhi, Xi Wang*, Qian Lijun*, Qiu Yong, Wang Jingyu, Chen Yajun, TangWei. Adsorption charring flame retardant effect of phosphaphenanthrene derivateintercalated micro-expanded graphite composite system in rigid polyurethanefoams[J]. Polymer Degradation and Stability, 2023, 216: 110493.
  • [6] Li Junxiao, Qian Lijun*, Xi Wang*, Qiu Yong, Tang Wei, Li Shanzhe. Alloyingsynergistic flame retardant effect improving fire resistance and mechanical properties
    of polyamide 6[J]. Journal of Applied Polymer Science, 2022, 139(48): 1-12.
  • [7] Wang Xi, Weiqiang Liu, Ming Yue, Dongtao Zhang, Qingmei Lu, HongguoZhang, Qiong Wu, Yuqing Li. The DDM curing enhancement for the epoxy resinbinder bonded Nd-Fe-B magnets[J]. IEEE TRANSACTIONSONMAGNETICS,2021, 57(2): 2100207.
  • [8] Wang Xi, Weiqiang Liu, Ruijin Hu, Yuxia Yin, Ming Yue. Property enhancement
    of bonded Nd-Fe-B magnets by composite adhesive design [J]. Materials and Design, 2020, 192:108767.
  • [9] Wang Xi, Lijun Qian, Linjie Li. Flame Retardant Behavior of Ternary SynergisticSystems in Rigid Polyurethane Foams[J]. Polymers, 2019,11(2): 207.
  • [10] Wang. Xi, Weiqiang. Liu, Ming Yue, Dongtao Zhang, Qingmei Lu, HongguoZhang, Yuqing Li. Preparation and Characterization of Phenol Formaldehyde BondedNd-Fe-B Magnets With High Strength and Heat Resistance[J]. IEEETRANSACTIONS ON MAGNETICS, 2018, 54(11):1-4.
  • [11] Wang Xi, Lijun Qian, Zhigang Huang, Yanfang Cao, Linjie Li. Continuouslyreleased flame-retardant behaviors of two kinds of phosphate esters with expandablegraphite in rigid polyurethane foams[J]. Polymer Degradation and Stability, 2016, 130, 97-102.
  • [12] Wang Xi, Lijun Qian, Yong Qiu, Yajun Chen. Flame-retardant behavior of
    bi-group molecule derived from phosphaphenanthrene and triazine groups onpolylactic acid[J]. Polymer Advanced Technologies, 2015, 22, 781-788.
  • [13] Wang Xi, Lijun Qian, Yajun Chen, Bo Xu. Addition flame-retardant behaviors of
    expandable graphite and [bis(2-hydroxyethyl)amino]-methyl-phosphonic aciddimethyl ester in rigid polyurethane foams[J]. Polymer Degradation Stability, 2015, 122: 36-43.
  • [14] Weiqiang. Liu, Wang Xi, Ruijin. Hu, Ming Yue, YuXia Yin, Jingang Guo, Dongtao Zhang, Hongguo Zhang. Preparation and characterization of sodiumsilicate/epoxy resin composite bonded Nd-Fe-B magnets with high performance[J]. Journal of Rare Earths, 37(10):

Lichen Shi | Mechanical Engineering | Best Researcher Award

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Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) ：25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929