Ang Guo | Problem Solving | Best Researcher Award

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Mr. Ang Guo | Problem Solving | Best Researcher Award

Guo Ang is a dedicated graduate student in Mechanical Engineering at Liaoning University of Technology, China, with a strong academic background and emerging research contributions in advanced manufacturing. He completed his Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Luoyang Institute of Science and Technology. Guo’s master’s research focuses on ultrasound-assisted in-situ preparation of chromium carbide-reinforced nickel-based cladding layers, a topic at the intersection of materials science and surface engineering. Under the supervision of Prof. Li Jinhua, he has developed innovative experimental methods to explore grain refinement in cladding processes. With one journal manuscript under review and strong lab collaboration, Guo is steadily building his academic profile. He is committed to pushing boundaries in multi-functional laser additive manufacturing. His work holds potential applications in enhancing material durability and performance, making significant contributions to industrial engineering practices. Guo is a promising candidate for the Best Research Scholar Award due to his innovation and diligence.

Profile

🎓 Education

Guo Ang is currently pursuing a Master’s degree in Mechanical Engineering at Liaoning University of Technology, where he is expected to graduate in June 2025. His postgraduate research emphasizes advanced laser additive manufacturing techniques, particularly ultrasonic-assisted in-situ preparation methods. Before this, he completed his undergraduate studies at Luoyang Institute of Science and Technology, earning a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. During his education, Guo has shown consistent academic excellence and technical curiosity, especially in the field of surface engineering and material coatings. He has gained in-depth knowledge of ultrasonic mechanisms, metallurgical processes, and composite layer formation. Guo’s academic trajectory is characterized by a hands-on approach to experimental mechanics, microstructure analysis, and the development of new coating technologies for industrial applications. His education reflects a blend of theoretical grounding and practical research capabilities that make him well-prepared for a future in advanced manufacturing research and technology innovation.

🧪 Experience

Guo Ang is a graduate researcher at Liaoning University of Technology with focused experience in experimental material science. While currently at an early stage in his professional career, he has played a pivotal role in ongoing laboratory research related to ultrasonic-assisted surface engineering. Working closely with Prof. Li Jinhua and a dedicated team of lab members, he has contributed to experimental setups, data analysis, and microstructural evaluation of laser-cladded coatings. His key experience lies in exploring how ultrasonic frequencies influence coating grain structures, leading to the development of innovative hypotheses about grain refinement mechanisms. Guo’s technical experience includes operating advanced manufacturing equipment, analyzing surface morphology, and characterizing metallurgical phases. Though he has not yet been involved in industry collaborations or consulting projects, his academic lab work demonstrates a high level of initiative, problem-solving, and collaborative research ability. This foundational experience has prepared him to contribute significantly to applied research and innovation in mechanical engineering.

🏅 Awards and Honors

Although Guo Ang is at an early stage of his academic career, he is actively building a foundation for future recognition. He has been nominated for the Best Research Scholar Award, which acknowledges his potential and progress in ultrasonic-assisted composite layer manufacturing. While he has not yet received formal awards, his ongoing contributions have earned recognition within his academic community, particularly from his supervisor, Prof. Li Jinhua. The submission of his research manuscript to the Journal of Alloys and Compounds reflects growing scholarly engagement. His novel approach to analyzing the effect of ultrasonic frequencies on grain size has been commended for its originality and applicability in advanced surface engineering. These accomplishments, though in progress, indicate a promising future in scientific innovation. As his research matures and gains peer-reviewed publication status, Guo is expected to garner further accolades in the field of laser additive manufacturing and composite material engineering.

🔬 Research Focus

Guo Ang’s research is centered on ultrasound-assisted in-situ preparation of chromium carbide-reinforced nickel-based cladding layers, a promising domain within surface engineering and additive manufacturing. His work explores how varying ultrasonic frequencies influence microstructural characteristics—specifically grain size—during the cladding process. The core hypothesis challenges conventional assumptions by proposing that increased ultrasonic frequency results in finer grains, a finding with implications for coating durability and wear resistance. Guo also investigates the thermodynamic and metallurgical phenomena underlying particle dispersion and solidification behavior during laser cladding. This research integrates simulation and hands-on experimental design to validate theoretical models, providing a dual approach to innovation. In collaboration with Prof. Li Jinhua and his lab team, Guo is advancing methodologies that could be pivotal for industrial applications requiring high-performance, wear-resistant coatings. His broader interests include multifunctional field composite manufacturing and smart surface engineering, aiming to enhance mechanical properties and performance in real-world engineering environments.

✅ Conclusion

Guo Ang is an emerging scholar in mechanical engineering whose innovative research on ultrasonic-assisted cladding methods reflects both academic rigor and practical relevance, making him a strong candidate for the Best Research Scholar Award and a promising contributor to the future of advanced materials and manufacturing science.

Publications

  • Effect of Ultrasonic Vibration on Microstructure and Properties of Ni‐Based Cladding Layers Reinforced by Chromium Carbide In Situ Generated

    Advanced Engineering Materials
    2025-06-03 | Journal article
    DOI: 10.1002/adem.202500105
    Part of ISSN: 1438-1656
    Part of ISSN: 1527-2648
    CONTRIBUTORS: Jinhua Li; Ang Guo; Yongming Dong; Jincheng Song; Fangping ya

Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

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Prof Dr. Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

 

Profile

Education

Dr. Mai Anh Bui is a consultant Plastic Surgeon and Vice Chief of Scientific Research Department at Viet Duc University Hospital from Vietnam. She is also Assist. Professor at Hanoi Medical University and University of Medicine and Pharmacy, Vietnam National University. She completed a plastic surgery residency in 2006. Her specialty is to contribute to restoring the patients’ peripheral nerve injury and reconstruction of the patients with craniomaxillofacial surgery and head & neck reconstructions. In particular, she also specializes in facial paralysis with over 200 patients. Her Ph.D. is on the Using Masseteric nerve in Facial Reanimation. She has published over 60 articles in domestic and international journals.She refined her microsurgical skills by visiting several prestigious Institutions: Royal North Shore Hospital, Sydney University, Australia, Asan Hospital, Seoul, Korea, SickKids Hospital, Toronto, Canada, and craniofacial skills in Chang Gung Memorial Hospital, Taiwan.

Work experience

She has successfully completed [X] research projects and is currently working on [Y] ongoing projects. Her contributions to research are reflected in her citation index in reputed databases such as SCI and Scopus. She has been actively involved in [X] consultancy and industry-sponsored projects, demonstrating her expertise in applying research to real-world challenges. Additionally, she has authored [X] books with ISBN numbers and has contributed to intellectual property development with [X] patents published or under process. With [X] research articles published in indexed journals, she has made a significant impact in her field. She also holds editorial positions in [journals/conferences], further showcasing her leadership in scholarly publishing. Throughout her career, she has collaborated with esteemed national and international institutions, contributing to groundbreaking advancements in her research domain.

Publication

  • Outcome of using the spinal accessory nerve for functional muscle innervation in facial paralysis reconstruction: The first two cases in Vietnam and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-10-25 | Journal article | Author
    DOI: 10.51199/vjsel.2022.4.3
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Trung Trực Vũ

  • Outcome of repairing posterior interosseous nerve (PIN) injury

    Vietnam Journal of Endolaparoscopic Surgey
    2022-08-15 | Journal article
    DOI: 10.51199/vjsel.2022.3.8
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Tran Xuan Thach, Vu Trung Truc

  • Reconstruction of upper extremity defect by using Superficial circumflex iliac artery perforator (SCIP) free flap: 03 cases and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-03-15 | Journal article
    DOI: 10.51199/vjsel.2022.1.9
    Part of ISSN: 1859-4506

Longqing Cui | Operations research | Best Researcher Award

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Dr. Longqing Cui | Operations research | Best Researcher Award

 

Profile

Education

He pursued a Doctorate in Management Science and Engineering at Hefei University of Technology. Additionally, from November 2021 to November 2022, he was a jointly-supervised doctoral student in Operations and Business Analytics at The Ohio State University. Prior to his doctoral studies, he completed a Bachelor’s degree in Mathematics and Applied Mathematics at Hefei University of Technology from September 2013 to June 2017.

Work experience

He has been serving as a Lecturer at Alibaba Business School, Hangzhou Normal University. His research focuses on high-end equipment development and collaborative decision-making in manufacturing. He is the Principal Investigator (PI) for two ongoing projects. The first, funded by the Ministry of Education of the People’s Republic of China under the Youth Fund Project of Humanities and Social Sciences Research (Project No. 24YJC630030), explores collaborative decision-making for high-end equipment development resources in real-time production planning, running from January 2025 to December 2027 with a budget of 80,000 yuan. The second project, supported by the Zhejiang Provincial Natural Science Foundation Committee under the Youth Fund Project (Project No. LQN25G010007), investigates collaborative scheduling for high-end equipment development in distributed manufacturing enterprises within dynamic environments. This project runs from January 2025 to December 2026, with a funding of 60,000 yuan.

Publication

  • 1] Longqing Cui; Xinbao Liu; Shaojun Lu; Zhaoli Jia. A variable neighborhood
    search approach for the resource – constrained multi – project collaborative
    scheduling problem. Applied Soft Computing, 2021, 107:107480. (Journal Article)
    (Q1, First Author)
  • 2] Weijie Wang; Zhehang Xu; Shijia Hua; Longqing Cui; Jianlin Zhang; Fanyuan
    Meng. Threshold – initiated spatial public goods games. Chaos, Solitons & Fractals,
    2024, 184:115003. (Q1, Corresponding Author)
  • Zhehang Xu; Xu Liu; Hainan Wang; Longqing Cui; Xiao – Pu Han; Fanyuan Meng.
    Free – rider or contributor: A dilemma in spatial threshold public goods games.
    Chaos, Solitons & Fractals, 2024, 187:115455. (Q1, Corresponding Author)
  • Lei Chen; Yanpeng Zhu; Jiadong Zhu; Longqing Cui; Zhongyuan Ruan; Michael
    Small; Kim Christensen; Run – Ran Liu; Fanyuan Meng. A simple model of global
    cascades on random hypergraphs. Chaos, Solitons and Fractals, 2025, 193(116081).
    (Q1, Corresponding Author)
  • Che Xu; Yingming Zhu; Peng Zhu; Longqing Cui. Meta – learning – based sample
    discrimination framework for improving dynamic selection of classifiers under
    label noise. Knowledge – Based Systems, 2024, 295:111811. (Q1)

Rakesh Meena | Applied Mathematics | Best Researcher Award

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Mr. Rakesh Meena | Applied Mathematics | Best Researcher Award

Research Scholar at Sardar Vallabhbhai National Institute of Technology, India

Mr. Rakesh Meena is a promising researcher and Ph.D. candidate at the Department of Mathematics, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India. His academic journey is characterized by a focus on advanced mathematical modeling, fractional calculus, and differential equations. With a blend of theoretical and computational expertise, Mr. Meena is dedicated to contributing to innovative solutions in applied mathematics, particularly in areas like epidemic modeling and dynamic systems. He is driven by the desire to combine research with teaching to foster academic growth and knowledge sharing. Throughout his career, he has earned recognition through prestigious scholarships and fellowships, such as the Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) from CSIR-UGC. His research contributions, including numerous journal publications and conference presentations, reflect his deep commitment to advancing mathematical sciences. Mr. Meena’s aspirations align with the goal of bringing meaningful change to both the academic community and society through his research and teaching.

Profile

Scopus

Google Scholar

Orcid

 

Education 🎓

Mr. Rakesh Meena’s educational background forms a solid foundation for his research career. He began his academic journey at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, where he completed his Five-Year Integrated M.Sc. in Mathematics with first division in 2020. Following this, he embarked on his Ph.D. in Mathematics, with a focus on linear and nonlinear fractional differential equations. Under the guidance of Dr. Sushil Kumar, he has made notable progress in mathematical modeling, particularly through the semi-analytical approach. His cumulative performance during his Ph.D. coursework reflects dedication, maintaining a CGPA of 7.25. Throughout his education, Mr. Meena has demonstrated a continuous pursuit of knowledge, aiming to contribute to the vast field of mathematical sciences. His educational path has not only provided him with strong analytical skills but also a deep understanding of both theoretical and computational methods. This educational experience, combined with his passion for research, serves as a solid launchpad for his future contributions to the scientific community.

Work Experience 💼

Mr. Rakesh Meena’s professional experience includes extensive academic research at the Department of Mathematics, SVNIT, Surat. Currently pursuing his Ph.D., Mr. Meena has contributed to a range of mathematical research, particularly in fractional calculus, epidemic modeling, and nonlinear differential equations. His expertise in using semi-analytical methods, such as the Residual Power Series (RPS) method and Homotopy Analysis Method, allows him to solve complex mathematical equations, which are pivotal in the fields of mathematical modeling and computational mathematics. As a junior and senior research fellow (JRF/SRF), he has been involved in multiple research projects that align with his goal of applying mathematical theory to real-world problems. Additionally, Mr. Meena has shared his research findings through several journal articles and conference papers, expanding his influence in academic circles. Beyond research, his role in mentoring and teaching aligns with his long-term goal of working in an institution where teaching and research go hand-in-hand. His participation in both national and international conferences further strengthens his professional experience, offering him a platform to engage with global research communities.

Awards and Honors

Mr. Rakesh Meena has been the recipient of several prestigious awards and fellowships, recognizing his academic excellence and research potential. In 2020, he was awarded the Junior Research Fellowship (JRF) by CSIR-UGC, which was followed by the Senior Research Fellowship (SRF) in 2022. These fellowships are granted to outstanding researchers in the field of mathematical sciences and are a testament to his proficiency and dedication to research. Additionally, Mr. Meena qualified for GATE (Graduate Aptitude Test in Engineering) in both 2022 and 2023, further cementing his academic credentials. His work, particularly in mathematical modeling and fractional calculus, has earned him recognition in the academic community. His achievements also include being a recipient of certification from CSIR-HRDG, highlighting his commitment to continuous learning and development. These awards and honors reflect Mr. Meena’s dedication to pushing the boundaries of mathematical research, and they serve as a foundation for his continued contributions to the scientific community.

Research Interests

Mr. Rakesh Meena’s primary research interests lie in mathematical modeling, fractional differential equations, and dynamic systems. His doctoral research specifically focuses on linear and nonlinear fractional differential equations, employing semi-analytical methods for their solutions. He aims to explore these equations’ applications in real-world phenomena, such as epidemic modeling, fluid dynamics, and wave propagation. His work in fractional calculus offers new insights into the mathematical descriptions of complex systems, which are often difficult to model using traditional integer-order differential equations. Through his research, Mr. Meena is particularly interested in understanding the behavior of systems with memory and hereditary properties, common in biological and physical systems. In addition to his work on differential equations, he is exploring the application of the Residual Power Series (RPS) method and other numerical techniques, such as the Euler and Runge-Kutta methods, to obtain approximate solutions to these complex models. His interdisciplinary approach to mathematical modeling promises to contribute to both the advancement of mathematical theory and its practical applications in fields like epidemiology, physics, and engineering.

Research Skills

Mr. Rakesh Meena’s research skills are diverse, encompassing both theoretical and computational techniques. His proficiency in mathematical modeling, especially in the context of fractional differential equations, stands out as a major strength. He is well-versed in various semi-analytical methods, notably the Residual Power Series (RPS) and Homotopy Analysis Method, to solve complex differential equations. These techniques are especially useful in capturing the dynamics of systems governed by fractional order equations, which are prevalent in many natural and social systems. Mr. Meena also possesses strong numerical skills, applying methods like the Euler method, Runge-Kutta method, and finite difference methods for computational analysis. He is skilled in using computational tools, including MATLAB, Maple, Mathematica, and LaTeX, to model, analyze, and visualize mathematical problems. His ability to integrate both analytical and numerical methods enables him to approach research challenges from a comprehensive perspective. Moreover, his academic rigor and attention to detail contribute to his systematic approach to research, making his work both reliable and impactful.

📚 Publications

Conclusion 

Mr. Rakesh Meena is a strong contender for the Best Researcher Award due to his excellent academic record, innovative research in fractional differential equations, and contribution to mathematical modeling. His expertise in semi-analytical and numerical methods provides significant value to his field. With a broader impact focus and increased public engagement, he has the potential to make transformative contributions to both academia and society. This will further cement his position as a leader in his field. 🌟