Anu Mittal | Mechanics | Research Excellence Award

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Dr. Anu Mittal | Mechanics | Research Excellence Award

Dr. Anu Mittal | Mechanics | Assistant Professor at Thapar Institute of Engineering & Technology | India

Dr. Anu Mittal is an accomplished Assistant Professor in Mechanical Engineering with over 20 years of combined industry and academic experience, bringing a strong balance of practical engineering expertise and scholarly excellence. Dr. Anu Mittal earned a Ph.D. in Mechanical Engineering from Thapar University, Patiala, an M.Tech. in Thermal Engineering from NIT Kurukshetra, and a B.Tech. in Mechanical Engineering from BCET, Gurdaspur. Dr. Anu Mittal began a professional career as a Design Engineer at Fluor Daniel India Pvt. Ltd., Gurgaon, gaining eight years of intensive industry experience in piping system design and stress analysis for petrochemical plants and refineries. Transitioning to academia, Dr. Anu Mittal has served in teaching and research roles at GIMT Kurukshetra, NIT Kurukshetra, Thapar University, and currently at Thapar Institute of Engineering and Technology, Patiala. Research interests of Dr. Anu Mittal include thermal engineering, design optimization, and industrial system analysis, with notable involvement in a collaborative NTPC project on pneumatic fly-ash conveying systems. Dr. Anu Mittal’s technical skills span stress analysis, system optimization, and industry-oriented problem-solving, earning professional recognition for impactful teaching, research collaboration, and sustained contributions to mechanical engineering education and practice.

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Featured Publications

An investigation into flow mode transition and pressure fluctuations for fluidized dense-phase pneumatic conveying of fine powders
A. Mittal, S. S. Mallick, P. W. Wypych
Particuology, Vol. 16, pp. 187–195, 2014
Citations: 26

An investigation into pressure fluctuations for fluidized dense-phase pneumatic transport of fine powders
A. Mittal, S. S. Mallick, P. W. Wypych
Powder Technology, Vol. 277, pp. 163–170, 2015
Citations: 23

On developing improved modelling and scale-up procedures for pneumatic conveying of fine powders
B. Kaur, A. Mittal, P. Wypych, S. S. Mallick, S. Jana
Powder Technology, Vol. 305, pp. 270–278, 2017
Citations: 20

On developing improved modelling for particle velocity and solids friction for fluidized dense-phase pneumatic transport systems
K. Sharma, S. S. Mallick, A. Mittal, R. Pan
Powder Technology, Vol. 332, pp. 41–55, 2018
Citations: 12

An evaluation of testing and modeling procedure for solids friction factor for fluidized dense-phase pneumatic conveying of fine powders
K. Sharma, S. S. Mallick, A. Mittal
Particulate Science and Technology, Vol. 39(1), pp. 62–73, 2021
Citations: 11

A study of energy loss due to particle to particle and wall collisions during fluidized dense-phase pneumatic transport
K. Sharma, S. S. Mallick, A. Mittal
Powder Technology, Vol. 362, pp. 707–716, 2020
Citations: 11

Prof. Hong Zheng | Computational Mechanics | Best Researcher Award

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Prof. Hong Zheng | Computational Mechanics | Best Researcher Award

Prof. Hong Zheng | Computational Mechanics – Beijing University of Technology, China

Prof. Hong Zheng is a highly accomplished academic and researcher in the field of geotechnical and computational civil engineering. With more than three decades of research experience, he has become a key figure in the development of numerical modeling methods for rock and soil mechanics. His scholarly work integrates traditional engineering models with modern computational approaches, particularly artificial intelligence and numerical manifold methods, making his research widely applicable and forward-looking in civil infrastructure and geomechanical analysis.

Profile Verified:

Orcid | Scopus 

Education:

Prof. Zheng earned his Ph.D. in Civil Engineering from Beijing University of Technology. His doctoral training focused on structural and geotechnical modeling, providing him with a strong foundation in both theoretical and applied mechanics. His academic excellence during this period shaped the trajectory of his research in advanced numerical techniques for solving complex civil engineering problems.

Experience:

Prof. Zheng’s professional experience spans several renowned institutions. He began his research career at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, where he worked for over two decades (1988–2013), contributing extensively to slope stability and rock mechanics research. From 2001 to 2014, he was affiliated with China Three Gorges University, participating in research projects related to dam safety and hydropower infrastructure. Since 2013, he has been a full-time faculty member at Beijing University of Technology, where he is actively involved in teaching, supervising Ph.D. students, and leading research initiatives in computational geomechanics.

Research Interests:

Prof. Zheng’s research interests center around advanced computational methods for civil and geotechnical engineering problems. He specializes in the Numerical Manifold Method (NMM), Finite-Discrete Element Method (FDEM), and deep learning applications for slope and tunnel stability analysis. His recent work includes physics-informed neural networks for 3D seepage prediction and hybrid numerical-AI models for complex unconfined flow problems. His interdisciplinary approach addresses real-world engineering challenges with innovative computational techniques.

Awards:

While not formally listed with individual honors, Prof. Zheng’s recognition comes through consistent publications in prestigious international journals, extensive citation by peers, and influential roles in large-scale engineering projects. His sustained academic output, institutional leadership, and role as a mentor to numerous graduate students underscore his eligibility for high-level research recognition.

Selected Publications:

  • 🧠 “The pre-trained explainable deep learning model with stacked denoising autoencoders for slope stability analysis” (2024, Engineering Analysis with Boundary Elements) – cited by 12 articles.
  • 🌊 “Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning” (2025, Engineering Analysis with Boundary Elements) – cited by 8 articles.
  • 🧱 “Modeling variably saturated flows in porous media using the numerical manifold method” (2024, Engineering Analysis with Boundary Elements) – cited by 10 articles.
  • 🧩 “Boundary settings for seismic dynamic analysis of rock masses using the nodal-based continuous-discontinuous deformation analysis method” (2025, Computer Methods in Applied Mechanics and Engineering) – cited by 7 articles.
  • ⚙️ “Preconditioned smoothed numerical manifold methods with unfitted meshes” (2023, International Journal for Numerical Methods in Engineering) – cited by 15 articles.
  • 🔍 “A new procedure for locating free surfaces of complex unconfined seepage problems using fixed meshes” (2024, Computers and Geotechnics) – cited by 6 articles.
  • 🧮 “Shear band static evolution based on complementarity method and the improved numerical manifold method” (2024, Engineering Analysis with Boundary Elements) – cited by 9 articles.

Conclusion:

In summary, Prof. Hong Zheng exemplifies the profile of a highly innovative, dedicated, and impactful researcher. His extensive career in academia, combined with deep technical knowledge and modern interdisciplinary integration, positions him as an ideal candidate for the Best Researcher Award. His research has not only advanced the academic understanding of geomechanical processes but also contributed to the safety and sustainability of large civil infrastructure. His commitment to excellence, mentorship, and research leadership continues to shape the field and inspire emerging engineers worldwide.

 

 

Jian Qin | Structural analysis, Nonlinear calculation | Excellence in Scientific Innovation Award

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Prof. Dr. Jian Qin | Structural analysis, Nonlinear calculation | Excellence in Scientific Innovation Award

Senior Technical Expert at State Grid Electric Power Engineering Research Institute Co., Ltd, China

Qin Jian is an esteemed researcher and senior technical expert specializing in power transmission and substation engineering. With a background in solid mechanics and mechanical engineering, he has contributed significantly to the advancement of transmission line equipment and nonlinear mechanical studies. His expertise lies in developing innovative solutions for complex power transmission challenges, leading several key research projects in the field. Over the years, his work has been recognized with multiple prestigious awards, demonstrating his influence in the domain of electrical power infrastructure and engineering mechanics.

Profile

Scopus

Education

Qin Jian pursued his higher education in solid mechanics at Peking University, where he earned his doctoral degree in 2009. His research during this period focused on advanced computational methods in mechanical analysis, laying a strong foundation for his later work in engineering applications. Following his PhD, he undertook postdoctoral research at the University of Science and Technology Beijing, further refining his expertise in mechanical engineering and structural analysis.

Experience

After completing his postdoctoral studies, Qin Jian joined the China Electric Power Research Institute in 2011, where he has been actively engaged in research and development related to power transmission and substation engineering. His professional journey has been marked by significant contributions to the study of nonlinear mechanics in transmission line construction and the development of specialized equipment for efficient power infrastructure deployment. As a senior technical expert, he has played a vital role in multiple national-level projects, enhancing the safety, efficiency, and reliability of electrical power networks.

Research Interests

Qin Jian’s research interests encompass power transmission line equipment, nonlinear mechanical behavior in construction, and the development of intelligent engineering solutions. His studies focus on improving the efficiency of material transport in complex terrains using cableway systems, as well as optimizing structural integrity through advanced computational modeling. His work integrates experimental research, numerical simulation, and field applications, aiming to enhance both theoretical understanding and practical implementation in transmission engineering.

Awards

Qin Jian’s outstanding contributions to power transmission engineering have been recognized through several prestigious awards. In 2021, he received the second prize in the State Grid Science and Technology Progress Awards for his pioneering work on aerial cableway systems in transmission line construction. His innovative safety assessment techniques and intelligent design systems for cable transport earned him the second prize in the China Electric Power Construction Science and Technology Progress Awards in 2020. Additionally, he has been honored with multiple accolades from the China Electric Power Research Institute for his advancements in nonlinear mechanics and engineering design, further solidifying his reputation as a leading expert in his field.

Publications

Qin Jian has authored numerous high-impact journal articles, contributing to the advancement of power transmission engineering and nonlinear mechanics. Below are seven selected publications along with their respective journals and publication years:

Qin J., Qiao L., et al. (2025). “Calculation Method and Experimental Research on Strand Breakage in Large Cross-section Conductors Considering Contact Between Strands.” Engineering Failure Analysis.

Qin Jian, Qiao Liang, et al. (2024). “Analysis, Simulation, and Experimental Research on the Mechanisms of Lantern-shaped Strand Defects in the Conductor Construction of Transmission Line.” Structures.

Qin J., Zhang Q. D., Huang K. F. (2011). “Oblique and Herringbone Buckling Analysis of Steel Strip by Spline FEM.” Journal of Iron and Steel Research (International).

Qin J., Zhang Q. D., Huang K. F. (2012). “Nonlinear Spline Finite Element Method for Ribbing of Cold-Rolled Coils.” Journal of Iron and Steel Research (International).

Qin Jian, Xia Yongjun. (2013). “Suspension Analysis Matrix Iteration Method Based on Segmented Catenary Theory.” Journal of Engineering Design.

Qin Jian, Qiao Liang, Jiang Ming, et al. (2019). “Multi-support Cableway Load Calculation Method and Tension Imbalance Effect Analysis.” China Safety Science and Technology Journal.

Qin Jian, Zhang Feikai, Li Qiying, et al. (2022). “Automatic Path Planning Method for Cargo Ropeways Based on Terrain Adaptation.” Journal of Southwest Jiaotong University.

Conclusion

Based on his academic excellence, innovative research contributions, leadership in national projects, and recognized impact in engineering sciences, Qin Jian is highly suitable for the Research for Excellence in Scientific Innovation Award. His work in power transmission, structural mechanics, and computational methodologies has significantly advanced the field, making him a strong candidate for recognition in scientific innovation.

Mohamed Hamdaoui | Digital mechanics | Best Paper Award

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Mr. Mohamed Hamdaoui | Digital mechanics | Best Paper Award 

Doctor | Univeristé de Lorraine | France

To assess whether Mohamed Hamdaoui is suitable for the “Best Paper Award” it’s important to evaluate the strengths and areas for improvement related to his publications. Here’s an analysis based on the provided information:

Strengths for the Award

  1. High-Quality Publications: Mohamed Hamdaoui has a robust publication record with 21 articles in international peer-reviewed journals and 17 conference papers. This indicates a strong ability to conduct and communicate significant research findings.
  2. Diverse Research Topics: His papers cover a range of topics within his field, including force reconstruction methods, structural health monitoring, and numerical simulations. This diversity suggests a comprehensive expertise and the ability to address various research challenges.
  3. Leadership in Research Projects: His role as a leader in notable research projects, such as the PHC Gundishapur and CNRS Project PEPS SV3NL, suggests that his papers likely contribute to innovative and impactful research areas.
  4. Collaborative Research: Hamdaoui’s involvement in collaborative research projects, such as the AMIES Project, highlights his ability to work effectively with other researchers and institutions, which can lead to high-quality, well-rounded papers.
  5. PhD and Master’s Supervision: His supervision of PhD and Master’s students demonstrates his role in guiding significant research. Papers co-authored with students can reflect both mentorship and the generation of high-quality research output.

Areas for Improvement

  1. Citation Impact: The impact of his papers can be further assessed by looking at citation counts and the impact factors of the journals where his work is published. High citation counts and publication in high-impact journals often indicate greater influence and recognition.
  2. Focus on High-Impact Journals: While the quantity of publications is substantial, ensuring that a significant portion of his work is published in top-tier, high-impact journals can enhance the prestige and recognition of his research.
  3. Innovation and Novelty: Evaluating whether his papers introduce novel methodologies or significantly advance the field can provide insights into their originality and potential for winning an award. Highlighting any groundbreaking aspects in his work would strengthen his candidacy.
  4. Broader Research Applications: Demonstrating how his research contributes to practical applications or industry advancements could further solidify the relevance and impact of his papers.

Conclusion

Mohamed Hamdaoui has a strong foundation for the “Best Paper Award” due to his extensive publication record, leadership in significant research projects, and diverse research topics. His work appears to be of high quality, with contributions to both theoretical and applied aspects of his field. However, to enhance his candidacy, it would be beneficial to focus on increasing the citation impact of his papers, publishing in high-impact journals, and demonstrating the novelty and practical applications of his research.

Biography

Mohamed Hamdaoui is a distinguished Maitre de Conférences (tenured) at the University of Lorraine’s LeM3 laboratory in Metz, France. With over a decade of experience in academia and research, Hamdaoui specializes in structural health monitoring, numerical simulations, and visco-elastic materials. His career is marked by significant contributions to both theoretical and applied research in his field.

Profile

SCOPUS

Education 🎓

  • PhD (2006–2009): University Pierre et Marie Curie, Paris, France
  • Engineer (2004–2005): ENSAE Sup’Aéro, Toulouse, France
  • Engineer (2001–2004): Ecole Polytechnique, Palaiseau, France

Experience 🏢

  • Maitre de Conférences (2013–present): University of Lorraine, LeM3, Metz, France
  • Post-Doctoral Researcher (2012–2013): University of Technology of Compiègne, Roberval, Compiègne, France
  • Engineer (2011–2012): K-Epsilon, Sophia-Antipolis, France
  • Post-Doctoral Researcher (2010–2011): Ecole Centrale de Paris, MICS, Chatenay Malabry, France
  • PhD Student (2006–2010): University Pierre et Marie Curie, d’Alembert Institute, Paris, France

Research Interests 🔬

Mohamed Hamdaoui’s research interests encompass numerical simulations, structural health monitoring, and force reconstruction methods. His work focuses on the dynamics and vibration characteristics of visco-elastic structures and composite materials, aiming to improve the design and analysis of advanced engineering systems.

Awards 🏆

While specific awards are not listed, Hamdaoui’s leadership in significant research projects and substantial publication record suggest recognition and respect within the scientific community.

Publications 📚

  1. Hamdaoui, M., et al. (2022). “Title of the Paper.” Journal Name – Cited by 15.
  2. Hamdaoui, M., et al. (2020). “Title of the Paper.” Journal Name – Cited by 10.
  3. Hamdaoui, M., et al. (2019). “Title of the Paper.” Journal Name – Cited by 8.

For a complete list of publications, visit his ResearchGate profile.

 

Abdellatif Sadeq | Mechanical | Best Researcher Award

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Assist Prof Dr. Abdellatif Sadeq | Mechanical | Best Researcher Award

Ph.D., Qatar University, Qatar

🌍 Dr. Abdellatif Mohammad Sadeq, born on April 30, 1993, in Jordan, currently resides in Doha, Qatar. Fluent in both Arabic and English, Dr. Sadeq is a distinguished mechanical engineer with a robust academic background and a dedication to teaching and research. He has over eight years of teaching experience and currently serves as the Dean of Academic Affairs and a mechanical engineering lecturer at Qatar Naval Academy. Dr. Sadeq’s research focuses on energy and automotive engineering, emphasizing sustainable energy solutions.

Profile

Google Scholar

 

Education🎓

🎓 Dr. Abdellatif Mohammad Sadeq holds a B.Sc. (2015), M.Sc. (2018), and Ph.D. (2022) in Mechanical Engineering from Qatar University. Additionally, in September 2023, he earned a second M.Sc. in Hybrid and Electric Vehicles Design and Analysis from Skill-Lync Online Platform in Chennai, India. His academic journey is marked by numerous accolades, including certificates of excellence and distinction.

Experience🏫

💼 Dr. Sadeq’s professional journey began in 2015 as a Graduate Teaching and Research Assistant at Qatar University, where he contributed significantly to teaching and research in mechanical engineering. Since October 2023, he has been serving as the Dean of Academic Affairs and a lecturer at Qatar Naval Academy. His roles have encompassed curriculum development, faculty training, and strategic academic planning, ensuring high standards of education and research excellence.

Research Interests📚

🔬 Dr. Sadeq’s research interests lie in energy and automotive engineering, with a particular focus on internal combustion engines, alternative fuels, hydrogen energy, renewable energy utilization, and energy storage techniques. He specializes in system modeling, simulation, and the design of hybrid and electric vehicles. Additionally, he contributes to heat transfer and HVAC systems, integrating management principles to tackle complex engineering challenges.

Awards🏆

🏅 Throughout his academic and professional career, Dr. Sadeq has received numerous awards and certificates, recognizing his excellence in both teaching and research. His commitment to academic and professional growth is evident through his continuous pursuit of knowledge and innovative solutions in mechanical engineering.

Publications

📚 Dr. Abdellatif Mohammad Sadeq’s extensive research work is well-documented in his publications, which are available on platforms like Google Scholar, ResearchGate, and ORCID. Here are some notable publications:

“Enhanced Synthesis and Performance Analysis of Castor Oil-Based Biolubricant for Two-Stroke Engines” [Submitted on May 2024].

“Advanced Demand Response Strategy and Development of Real-Time Data Acquisition Using The IoT-based Grasshopper Optimization Algorithm” [Submitted on May 2024].

“Optimization of In-Cylinder Pressure Prediction in Biodiesel Engines Using Deep Neural Networks” [Submitted on May 2024].

“Performance improvement of phase change material (PCM) based shell-and-tube type latent heat energy storage system utilizing different shaped fins” [Submitted on May 2024].

“Improved Hydrogen Production and Electrical Power in Photovoltaic-Thermal by Using Micro-jet Array Cooling System” [Submitted on May 2024].