Charly Julien Nyobe | Civil Engineering | Best Paper Award

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Dr. Charly Julien Nyobe | Civil Engineering | Best Paper Award

Chercheur at Ecole Normale Supérieure d’Enseignement Technique de Douala-Cameroun, Cameroon.

Charly Julien Nyobe 🎓 is a dedicated Cameroonian researcher and educator specializing in civil engineering, biomechanics, and material sciences. Born on March 11, 1985, in Garoua-Boulaï, he has pursued an extensive academic career, earning two PhDs and multiple engineering degrees. With a passion for structural mechanics, wood engineering, and impact mechanics, he actively contributes to cutting-edge research on sustainable construction materials. Currently, he teaches at the University of Douala and collaborates on international projects. An expert in statistical analysis, finite element methods, and material characterization, Nyobe is committed to advancing engineering solutions for real-world challenges. 🚀📚

Professional Profile:

Scopus

ORCID

Google Scholar

Suitability for the Award

Dr. Charly Julien Nyobe is a highly accomplished researcher in civil engineering, biomechanics, and material sciences, with extensive expertise in structural mechanics, wood engineering, and impact mechanics. His strong academic background, dual PhDs, and consistent research contributions demonstrate a deep commitment to advancing engineering knowledge, particularly in sustainable construction materials. His ability to bridge experimental, numerical, and theoretical methods in engineering makes him a strong contender for the Best Paper Award.

Education & Experience 📚

✅ Doctorate (PhD) in Mechanical Engineering – Université Gustave Eiffel, France (2022 – Ongoing)
✅ Doctorate (PhD) in Civil Engineering – École Nationale Supérieure Polytechnique de Yaoundé, Cameroon (2023)
✅ Master’s in Civil Engineering – University of Douala, Cameroon (2015)
✅ DIPET II (Master’s equivalent) in Civil Engineering – ENSET Douala, Cameroon (2011)
✅ DIPET I (Bachelor’s equivalent) in Civil Engineering – ENSET Douala, Cameroon (2009)
✅ DEUG in Computer Science – University of Yaoundé I, Cameroon (2006)
✅ Baccalauréat in Mathematics & Physics – Lycée d’Obala, Cameroon (2003)

💼 Work Experience:
✔️ Lecturer – University of Douala (2018 – Present)
✔️ Visiting Lecturer – École Supérieure de La Salle (2018 – 2022)
✔️ Lecturer – Institute of Technology, Douala (2018 – 2020)
✔️ Civil Engineering Teacher – Lycée Polyvalent de Bonabéri (2012 – 2018)

Professional Development 🚀

Charly Julien Nyobe is constantly engaged in professional development to stay at the forefront of engineering innovations. In 2023, he trained in LS-Dyna at IUT Lyon 1, France, refining his expertise in impact simulation and finite element modeling. Additionally, he enhanced his scientific visualization skills through an Inkscape training at the University of Lyon. As a member of the GDR Science du Bois (France) since 2019, he actively participates in collaborative research, focusing on wood mechanics, structural engineering, and impact analysis. His interdisciplinary approach blends experimental, numerical, and theoretical methods for innovative engineering solutions. 🌍🛠️📊

Research Focus 🔬

Dr. Nyobe’s research is centered on civil engineering, wood mechanics, and impact mechanics. His work spans mechanical characterization of materials, structural resilience, and numerical modeling. He is passionate about sustainable construction, particularly the use of tropical woods in engineering applications. His studies explore Monte Carlo simulations, Weibull statistical models, and multi-scale mechanical classification of materials. He also delves into shock mechanics, investigating crash simulations and road safety barriers using advanced software like LS-Dyna. His research contributes to eco-friendly building solutions, aiming to optimize wood-based engineering materials for durability and resilience. 🌳🏗️⚙️

Awards & Honors 🏆

🏅 2023 – PhD in Civil Engineering with “Très Honorable” distinction 🏛️
🏅 2015 – Master’s degree with “Très Bien” distinction 🎓
🏅 2011 – DIPET II with “Très Bien” distinction 🏗️
🏅 2009 – DIPET I with “Très Bien” distinction 🏢
🏅 2006 – DEUG in Computer Science with “Assez Bien” distinction 💻
🏅 2003 – Baccalauréat in Mathematics & Physics with “Assez Bien” distinction 📏

Publication Top Notes

  • Moisture content-mechanical property relationships for two okan (Cylicodiscus gabunensis) substitutes

    • Authors: Nyobe Charly Julien, Oum Lissouck René, Nyobe Nicolas Stephane, Goumgang Tassile Rolande, Ayina Ohandja Louis Max​
    • Publication Year: 2025​
    • DOI: 10.1080/17480272.2025.2476659​

  • Mode I cracking of three tropical species from Cameroon: the case of bilinga, dabema, and padouk wood

    • Authors: Rosmi Biyo’o, Achille Bernard Biwole, Rostand Moutou Pitti, Charly Julien Nyobe, Benoit Ndiwe, Emile Jonathan Onana, Emmanuel Yamb​
    • Publication Year: 2024​
    • DOI: 10.1080/17480272.2024.2314750​

  • Effect of slope of grain on mechanical properties of some tropical wood species

    • Authors: Charly Julien Nyobe, Nicolas Stéphane Nyobe, Jean Bertin Nkibeu, René Oum Lissouck, Louis Max Ayina Ohandja​
    • Publication Year: 2024​
    • DOI: 10.1080/17480272.2024.2356047​

  • A Review on Methods for Determining the Vibratory Damping Ratio

    • Authors: Nkibeu Jean Bertin, Charly Julien Nyobe, Moussa Sali, Madja Doumbaye Jerémie​
    • Publication Year: 2023​
    • DOI: 10.4236/ojce.2023.132015​

  • Determination of the Vibratory Damping Ratio: A Methodological Review

    • Authors: Nkibeu Jean Bertin, Charly Julien Nyobe, Moussa Sali, Madja Doumbaye Jerémie​
    • Publication Year: 2023​
    • DOI: 10.9734/bpi/rader/v9/1804g​

  • Variability of the mechanical strength of Congo Basin timbers

    • Author: Charly Julien Nyobe​
    • Publication Year: 2021​
    • DOI: 10.1080/17480272.2021.1912173​

BENDADI HANUMANTHA RAO | Engineering | Best Researcher Award

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Assoc. Prof. Dr. BENDADI HANUMANTHA RAO | Engineering | Best Researcher Award

Associate Professor, IIT Bhubaneswar, India

Dr. B. Hanumantha Rao is an Associate Professor at the School of Infrastructure, IIT Bhubaneswar. With a rich academic and research background, he specializes in geotechnical and geoenvironmental engineering, focusing on innovative solutions for sustainable construction. He has a deep interest in ground improvement techniques, expansive soil stabilization, and the valorization of industrial by-products like red mud and fly ash. Dr. Rao’s prolific research contributions have gained him national and international recognition, and he has received several prestigious awards.

Profile

Education 

  • Ph.D. in Geotechnical Engineering (2005-2009): IIT Bombay
  • M.Tech. in Geotechnical Engineering (2003-2005): IIT Bombay
  • B.E. in Civil Engineering (1999-2003): Osmania University, Hyderabad
  • Diploma in Civil Engineering (1995-1998): Govt. Polytechnic, Kothagudem

Experience 

  • Associate Professor, IIT Bhubaneswar (2022–Present)
  • Assistant Professor, IIT Bhubaneswar (2011–2022)
  • Assistant Professor, NIT Rourkela (2011)
  • Scientific Officer-D, NPCIL (2010–2011)
  • Assistant Professor, KL University (2010)
  • Post-Doctoral Fellow, University of Saskatchewan, Canada (2009–2010)

Awards and Honors 

  • 🌟 Top Innovative Project: Geopolymer Concrete at ALL IIT R&D Fair 2021
  • 🏆 Best Oral Presentation: IGC-2019, NIT Surat
  • 🥈 Second Rank, Engineering Common Entrance Test, 1999
  • 🎓 PRATIBHA Award, Govt. of Andhra Pradesh (1999-2003)
  • 🏅 Fellowship for Ph.D., BRNS, IIT Bombay (2005-2009)
  • 🌏 Post-Doctoral Fellowship, University of Saskatchewan (2009-2010)

Research Focus 

Dr. Rao’s research interests span ground improvement, expansive soil stabilization, and waste valorization. His innovative work includes synthesizing geopolymer concrete using red mud, fly ash, and slag; biopolymers for soil stabilization; and advanced geotechnics. His projects are aimed at developing sustainable geomaterials for engineering applications and addressing geoenvironmental challenges.

Publications

  • A mix design procedure for geopolymer concrete with fly ash 🧱
  • Mix Design Development of Fly Ash & GGBS Geopolymer Concrete 🚧
  • Review: Source Material Composition’s Effect on Geopolymer Strength 📚
  • Strength and Durability of GGBS-Stabilized Red Mud 🔬
  • Specific Surface Area Methods Comparison for Fine-Grained Soils 📏
  • Predicting Soil Thermal Resistivity Using Neural Networks 🤖
  • Applications and Properties of Red Mud in Construction 🏗️
  • Predicting Soil Electrical Resistivity with Neural Networks ⚡
  • Red Mud’s Use as a Construction Material 🌱
  • Microplastics in Soils: Geotechnical Perspective 🌍
  • Additives’ Impact on Swelling of Expansive Soils 🌊
  • Swelling Properties Determined from Suction 💧
  • Effect of Na₂SiO₃/NaOH on Fly Ash Geopolymer Mortar 🛠️
  • Moisture Content Measurement Techniques: A Study 🌫️
  • Clay Content’s Influence on Expansive Soils 🛤️
  • Biopolymer Treatment for Red Mud Waste Stabilization 🦠
  • Durability of Geopolymer Concrete with Phosphogypsum 🧪
  • Biopolymers in Strengthening Red Mud Waste 🌟
  • Compaction of Treated and Untreated Red Mud 📉
  • Consolidation of Indian Red Mud Waste 🏞️

Su Wang |c | Best Research Article Award

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Mr. Su Wang | Rock Mechanics | Best Research Article Award

Student, China University of Petroleum, Beijing, China

Su Wang is a dedicated researcher at the China University of Petroleum in Beijing, specializing in fiber-optic monitoring for hydraulic fracturing. Under the supervision of Mian Chen, Wang has made significant contributions to understanding the complexities of hydraulic fracture dynamics. His innovative research employs advanced fiber-optic technologies to monitor strain and deformation in geological formations, providing critical insights that enhance the efficiency and safety of hydraulic fracturing processes.

Profile

Orcid

Best Research Article Award Application: Su Wang

Su Wang, a researcher from the China University of Petroleum in Beijing, has demonstrated significant expertise in the field of fiber-optic monitoring for hydraulic fracturing. His contributions are pivotal, particularly in understanding the evolution characteristics of fiber-optic strain and its implications for hydraulic fracture behavior. Notably, his publication “Study on the Evolution Characteristics of Fiber-Optic Strain Induced by the Propagation of Bedding Fractures in Hydraulic Fracturing” showcases innovative methodologies that enhance our understanding of fracture dynamics, positioning him as a leader in this emerging research area. Wang’s work is characterized by rigorous experimental design and insightful analyses, highlighting the interplay between geological structures and fiber-optic technology.

Despite these strengths, there are areas for potential improvement. Expanding the scope of research to include multi-dimensional data analysis and integrating machine learning techniques could further enhance the predictive capabilities of his studies. Additionally, fostering interdisciplinary collaborations may provide broader insights into the application of fiber-optic monitoring in various geological settings.

In conclusion, Su Wang’s research represents a valuable contribution to the field of hydraulic fracturing and fiber-optic monitoring. His innovative approach and rigorous methodology make him a strong candidate for the Best Research Article Award. By addressing the identified areas for improvement, he has the potential to elevate his research impact even further, paving the way for advancements in both academic and practical applications within the petroleum industry.

Publications Top Notes

Wang S, Chen M, Lv J, et al. Study on the Evolution Characteristics of Fiber-Optic Strain Induced by the Propagation of Bedding Fractures in Hydraulic Fracturing [J]. Petroleum Science, 2024.

Wang S, Chen M, Hao Y, et al. Evolution Mechanism of Deviated Well Fiber-optic Strain Induced by Single-fracture Propagation during Fracturing in Horizontal Wells [J]. Engineering Fracture Mechanics, 2024. In press.

Wang S, Chen M, Chang Z, et al. Experimental Study on Indoor Multi-cluster Fracturing Based on Distributed Fibre-optical Monitoring [C]. International Geomechanics Symposium, 2023.

Wang S, Chen M, Lv J. Experimental Study on Fiber Strain Evolution Induced by Multi-fracture Propagation in Hydraulic Fracture [J]. China Petroleum Machinery, 2024, 52(8): 101-107.

Wang S, Chen M, Lv J, et al. Characteristics of Fiber-Optic Strain Evolution in Vertical Adjacent Well Induced by Hydraulic Fracture Propagation in Horizontal Well [J]. Journal of Northeast Petroleum University, 2024, 48(4): 1-11.

Zhang K, Ku H, Wang S, et al. Distributed Acoustic Sensing: A Promising Tool for Finger-band Anomaly Detection [J]. Photonics, 2024. In press.

Wang Q, Chen M, Wang S. Dynamic Fracture Conductivity Considering Stress-deformation Behavior of Proppants in Shale Formation [C]. ARMA, 2022.

Hao Y, Chen M, Wang S, et al. Monitoring the Propagating Process of Hydraulic Fracture with Fiber Optic Strain and Strain Rate Technology [C]. ARMA, 2024.

Fang Z, Chen M, Wang S, et al. Geometry of Hydraulic Fractures in Fractured Horizontal Wells in Shale Reservoirs of Jimsar Sag, Junggar Basin [J]. Xinjiang Petroleum Geology, 2024, 45(01): 72-80.

Zhang K, Chen M, Zhao C, Wang S, et al. A Continuous and Long-Term In-Situ Stress Measuring Method Based on Fiber Optic. Part I: Theory of Inverse Differential Strain Analysis [J]. Petroleum Science, 2024, 21(2): 1171-1189.

Zhang Q, Hou B, Chang Z, Wang S, et al. Experimental Study on True Triaxial Hydraulic Fracturing Based on Distributed Fibre-Optical Monitoring [C]. International Geomechanics Symposium, 2022.

Hanan Samad | Geotechnics | Women Researcher Award

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Ms. Hanan Samad | Geotechnics | Women Researcher Award

Research assistant in the field of tunnelling and mechanized excavation, University of Tehran, Iran

 

Hanan Samadi is a distinguished researcher and engineer specializing in tunneling, mechanized excavation, and geotechnical engineering. With a robust academic background and numerous publications in leading journals, she has made significant contributions to the field of mining and geoscience. Currently, she serves as a Research Associate at Nazarbayev University in Astana, Kazakhstan, and continues to push the boundaries of her field with innovative research and practical solutions.

Profile

Google Scholar

Education 🎓

Hanan Samadi obtained her M.S. in Engineering Geology from the University of Tehran, where she graduated with an outstanding thesis on EPB Operating Parameters, achieving a perfect score of 4/4. She also holds a B.S. in Geology Science from Payame Noor University, Kurdistan, and a Diploma in Experimental Science from Sadegh Vaziri High School, where she excelled academically.

Experience 💼

Hanan has extensive experience in both academia and industry. She is currently a Research Associate at Nazarbayev University and a Senior Researcher at the University of Halabja. She has also held positions as a Research Assistant at the University of Tehran and Amirkabir University of Technology. Her professional journey is marked by significant contributions to the development and application of advanced tunneling technologies.

Research Interests 🔍

Hanan’s research interests include:

  • Tunneling and mechanized excavation (TBM)
  • Rock mechanics and rock engineering
  • Soil mechanics and geotechnics
  • Mechanics of tunnel boring machines (shield TBM, Slurry, EPB, Gripper TBM, etc.)

Awards 🏆

Hanan has been recognized for her exceptional contributions with several awards, including the 4th INNOMINE Festival Scholarship Award and Winner titles for her innovations in underground space utilization and tunneling software. She has also been honored as the Best Thesis Project Candidate at the University of Tehran and received numerous scholarships for her academic excellence.

Publications Top Notes📝

  1. Computing machinery techniques for performance prediction of TBM using rock geomechanical data in sedimentary and volcanic formations
  2. Prediction of Engineering Characteristics of Rock Masses Using Actual TBM Performance Data with Supervised and Unsupervised Learning Algorithms (a Case Study in Strong to Very Strong Igneous and Pyroclastic Rocks)
  3. In-depth exploration of machine learning algorithms for predicting sidewall displacement in underground caverns
  4. Application of several fuzzy-based techniques for estimating tunnel boring machine performance in metamorphic rocks
  5. Application of machine learning algorithms to predict the effective fracture toughness of several types of concrete
    • Published in Computers and Concrete, 2024.