Abdulhalim Musa Abubakar | Process Engineering | Chemical Engineering Award

Mr. Abdulhalim Musa Abubakar | Process Engineering | Chemical Engineering Award

Modibbo  Adama University (MAU) ,Nigeria

Abdulhalim Musa Abubakar is a Nigerian Chemical Engineer dedicated to innovation in renewable energy, chemical reaction engineering, and water treatment. Born and raised in Adamawa State, he has developed a solid foundation in both theoretical knowledge and practical application of chemical engineering principles. With academic qualifications from the University of Maiduguri and a diverse professional portfolio, he brings experience from academic, industrial, and development sectors. His work spans teaching, research, water quality analysis, and biogas technology. Abdulhalim currently serves as an Assistant Lecturer at Modibbo Adama University (MAU), where he integrates research, student mentorship, and curriculum advancement. Known for being proactive, detail-oriented, and results-driven, he is committed to using his skills for environmental sustainability and energy transformation in Nigeria and beyond. His vision is to contribute meaningfully to solving global energy and environmental challenges through cutting-edge research and innovative engineering practices.

Professional Profile

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🎓 Education

Abdulhalim Musa Abubakar holds both Bachelor’s and Master’s degrees in Chemical Engineering from the University of Maiduguri, where he graduated with distinctions (B.Eng: 4.55 CGPA, M.Eng: 4.85 CGPA). His academic journey began at University Primary School, followed by Imam Malik Secondary School, where he earned his WAEC certificate in 2013. He pursued higher education with a clear focus on energy, environmental remediation, and reaction engineering. In addition to formal academic achievements, he has undertaken numerous professional training programs and certifications, including diplomas in Oil & Gas Management and Control Engineering, and certifications in AutoCAD, data science, project management, and programming. These multi-disciplinary skills strengthen his engineering knowledge and his capacity to tackle complex industrial challenges. His educational path reflects a strong commitment to academic excellence and lifelong learning, enabling him to contribute both in research and practical problem-solving within the chemical engineering domain.

💼 Experience

Abdulhalim Musa Abubakar has gained diverse experience across academic, industrial, and community-based projects. He began his practical journey as a Plant Operator Intern at Maiduguri Water Treatment Plant in 2017. During his NYSC service year, he served at Mada Water Works, where he performed water quality analysis. He briefly taught at Bulumkutu Islamic Science School before joining Modibbo Adama University (MAU) in 2019 as a Graduate Assistant, and subsequently, as an Assistant Lecturer in 2023. He has participated in data gathering and fieldwork as an Enumerator with Borno Women Development Initiative. His career showcases a balance of academic responsibilities and field engagement. He also has notable experience with environmental modeling and simulation software, and his teaching and research focus on sustainable engineering practices. These roles reflect his multidisciplinary capabilities and his commitment to using engineering tools for real-world impact, especially in energy and environmental sectors.

🏆 Awards and Honors

Abdulhalim Musa Abubakar has been recognized for his service, academic excellence, and professional dedication. Notable among his accolades is the Certificate of Service awarded for his voluntary role as Tutorial Coordinator by the Nigerian Society of Chemical Engineers (NSChE), UNIMAID Student Chapter (2018). He also received recognition from the Muslim Students’ Society of Nigeria (MSSN), Faculty of Engineering Branch, for his voluntary academic support in 2017/2018. He has earned certificates of participation and achievement in over a dozen international workshops, seminars, and webinars, including those hosted by prestigious institutions such as the Royal Society of Chemistry, Polytechnic University of the Philippines, and Siirt University in Türkiye. His proactive participation in global conferences and research congresses underscores his commitment to continuous learning and professional engagement. These honors reflect both academic leadership and a deep-seated drive to contribute to scholarly and societal advancement in engineering and beyond.

🔍 Research Focus

Abdulhalim Musa Abubakar’s research centers around renewable energy systems, biogas production, microbial kinetics, environmental remediation, chemical reaction engineering, and waste-to-energy technologies. He has a particular interest in transforming organic waste materials, such as chicken manure and medical waste, into biogas through anaerobic digestion processes. His master’s research explored microbial growth modeling and digester performance, contributing insights into sustainable energy generation from biodegradable waste. His research also addresses pharmaceutical waste management, modeling and simulation using ASPEN Plus, and water treatment processes using eco-friendly techniques. Additionally, he has presented studies on energy access in underserved areas like refugee camps, reflecting his interest in humanitarian engineering. Abdulhalim is dedicated to applying data science, programming, and simulation tools to solve energy and environmental challenges. His goal is to develop scalable, cost-effective technologies that bridge the gap between clean energy supply and waste reduction, particularly in Africa and other developing regions.

📚 Publication Top Notes

1. Modeling Anaerobic Decomposition: JMP Application with Biomass Data

Authors: Abubakar, A. M.; Elboughdiri, N.; Chibani, A.; Nneka, E. C.; Yunus, M. U.; Ghernaout, D.
Journal: Portugaliae Electrochimica Acta (2025)
Summary: This paper models anaerobic digestion using JMP software based on experimental data from two biomass combinations in Nigeria. Neural networks and response surface methodology were applied to optimize biogas production. Monod kinetic parameters were also estimated, showing excellent prediction accuracy and insight into biomass-substrate interactions.

2. Review on Municipal Solid Waste, Challenges and Management Policy in Pakistan

Authors: Asif, M.; Laghari, M.; Abubakar, A. M.; Suri, S. K.; Wakeel, A.; Siddique, M.
Journal: Portugaliae Electrochimica Acta (2025)
Summary: A critical review highlighting Pakistan’s challenges in managing municipal solid waste, including rapid urbanization, insufficient infrastructure, and lack of effective policy enforcement. It recommends comprehensive reforms, sustainable waste processing, and public-private collaborations for improved waste governance.

3. Development of Low-Cost Adsorbents from Coconut Shell for Energy-Efficient Dye Removal from Laboratory Effluent Discharge

Authors: Abdulhalim Musa Abubakar; Naeema Nazar; Abdulghaffaar Assayyidi Yusuf; Enyomeji Ademu Idama; Moses NyoTonglo Arowo; Aisha Maina Ma’aji; Irnis Azura Zakarya
Journal: Measurement: Energy (June 2025)
Summary: This research focuses on developing coconut shell-based adsorbents for removing dyes from laboratory wastewater. The material showed over 90% dye removal efficiency under optimal conditions and was confirmed as a cost-effective and energy-efficient method for effluent treatment.

4. Characterizing the Reducing Properties of Biofuels in Activating Metal Catalyst of Refinery Process

Authors: Mohammed Abdulrahim; Usman Habu Taura; Abdulhalim Musa Abubakar; Marwea Al-Hedrewy
Journal: Sustainable Processes Connect (May 2025)
Summary: Examines the effectiveness of biofuels in enhancing metal catalyst performance in refinery processes. The study found that biofuels provided a reducing atmosphere that facilitated catalyst activation but also noted challenges such as catalyst deactivation and thermal instability.

5. Impact of Furfural Raffinate Oil as a Filling Agent on the Vulcanization and Mechanical Properties of Rubber

Authors: Suleiman A. Wali; Abubakar Mohammed; Abdulhalim Musa Abubakar; Abdulmuhsin Usman; Kamran Khan
Journal: Current Engineering Letters and Reviews (January 2025)
Summary: Investigates the use of furfural raffinate oil as a rubber additive. Findings show improvements in rubber strength and flexibility up to a certain concentration, indicating potential for sustainable and cost-effective rubber production using industrial by-products.

Conclusion

Abdulhalim Musa Abubakar stands out as a dynamic and forward-thinking Chemical Engineer whose academic achievements, hands-on industrial experiences, and proactive engagement in research and professional development reflect a deep commitment to sustainable innovation. His work spans critical sectors including renewable energy, biogas production, water treatment, and environmental remediation—key areas that align with global sustainability goals. Through a strong foundation in chemical engineering, supported by advanced software and data science skills, he has consistently demonstrated his ability to bridge theoretical knowledge with practical applications. Abdulhalim’s numerous certifications, conference contributions, and teaching roles further underscore his dedication to lifelong learning and capacity building. As he continues to evolve as a researcher and educator, his efforts are poised to contribute significantly to solving pressing energy and environmental challenges both within Nigeria and internationally. His trajectory reflects not only technical competence but also a clear vision for engineering as a tool for societal transformation.

Qi Liang | Pattern Recognition | Excellence in Research

Mr Qi Liang | Pattern Recognition | Excellence in Research

Master in Tongji University at China

Qi Liang is a dedicated researcher and master’s student at Tongji University, PR China, specializing in mechanical engineering. With a strong foundation in industrial engineering from Jiangsu University of Science and Technology, Qi has a keen interest in advancing technology through innovative research. Recognized for introducing self-supervised learning methods in semiconductor applications, Qi’s work aims to solve complex challenges in pattern recognition. Their publication in Engineering Applications of Artificial Intelligence reflects a commitment to high-impact research. With multiple ongoing projects and a focus on practical applications, Qi is paving the way for efficient solutions in the semiconductor industry.

Profile

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Strengths for the Award

  1. Innovative Research: Qi Liang has introduced a self-supervised learning method for few-shot learning in semiconductor applications, demonstrating originality and a significant contribution to the field.
  2. Publication Record: The recent publication in Engineering Applications of Artificial Intelligence showcases a commitment to high-quality research, adding to the credibility of the work.
  3. Diverse Research Interests: With a focus on computer vision, multi-modal learning, and fault diagnosis, Qi’s work spans multiple cutting-edge areas, which increases the potential impact of the research.
  4. Practical Applications: The research addresses real-world challenges in the semiconductor industry, offering low-cost, efficient methods that have immediate applicability.
  5. Academic Engagement: Qi’s active involvement in ongoing projects and industry collaborations indicates a robust engagement with both academic and practical aspects of research.

Areas for Improvement

  1. Broader Collaboration: Expanding collaborations with international researchers could enhance the research’s visibility and applicability on a global scale.
  2. Increased Publication Volume: While the current publication is commendable, a more extensive publication record could further establish Qi’s expertise and leadership in the field.
  3. Outreach and Communication: Engaging in more outreach activities, such as conferences and seminars, could help disseminate findings and foster connections within the research community.

Education 

Qi Liang graduated with a Bachelor’s degree in Industrial Engineering from Jiangsu University of Science and Technology, where foundational principles of engineering and technology were mastered. Currently, Qi is pursuing a Master’s degree in Mechanical Engineering at Tongji University, one of China’s prestigious institutions, now in their third year of the program. This advanced education has allowed Qi to engage deeply with cutting-edge topics, particularly in computer vision and machine learning. Through rigorous coursework and research, Qi has developed expertise in areas such as pattern recognition, self-supervised learning, and fault diagnosis, equipping them with the skills necessary to tackle complex engineering problems and contribute significantly to both academic and industrial advancements.

Experience

Qi Liang has gained substantial experience through multiple research projects, totaling five completed or ongoing initiatives that emphasize practical applications of machine learning in semiconductor manufacturing. In addition to academic research, Qi has participated in three consultancy and industry-sponsored projects, bridging the gap between theoretical knowledge and real-world applications. Their collaborative efforts in research have led to valuable partnerships and a broader understanding of the industry’s challenges and needs. As the first to implement self-supervised learning techniques in few-shot learning tasks related to wafer map pattern recognition, Qi has showcased exceptional innovation. This unique approach has opened new avenues for cost-effective and efficient solutions within the semiconductor sector, positioning Qi as an emerging leader in their field.

Research Focus 

Qi Liang’s research focuses on the intersection of computer vision and machine learning, with a strong emphasis on pattern recognition, keypoint detection, and image retrieval. Specializing in self-supervised and multi-modal learning, Qi aims to develop innovative methodologies that minimize the reliance on labeled data while maximizing efficiency and applicability in industrial contexts. Current research projects explore dynamic adaptation mechanisms for few-shot learning, specifically tailored for wafer map pattern recognition in the semiconductor industry. Qi is also interested in signal processing and fault diagnosis, seeking to improve reliability and performance in manufacturing processes. This research direction not only contributes to the academic community but also addresses pressing industry challenges, promoting advancements in automation and smart manufacturing.

Publication Top Notes

  • Masked Autoencoder with Dynamic Multi-Loss Adaptation Mechanism for Few Shot Wafer Map Pattern Recognition 📄

Conclusion

Qi Liang’s innovative contributions to the field of mechanical engineering and computer vision make a strong case for the Excellence in Research award. The unique approach to self-supervised learning in few-shot learning for wafer map pattern recognition signifies both a breakthrough in methodology and practical application in the semiconductor industry. With a few strategic improvements, Qi has the potential to further amplify the impact of their research and cement their status as a leading researcher in their field.

Georges Repetto | Nuclear energy | Best Scholar Award

Mr. Georges Repetto | Nuclear energy | Best Scholar Award

Project manager at Institute of Radioprotection and Nuclear Safety, France

Mr. Georges Repetto is a distinguished nuclear engineer with over 30 years of experience in the field, primarily at CEA and IRSN. He has led critical experiments, notably within the PHEBUS program, focusing on reactor safety and core degradation analysis, which are vital for nuclear reliability. Repetto’s technical expertise encompasses neutron studies and gamma spectrometry, contributing significantly to advancements in nuclear safety. In addition to his research, he has been an educator at the INSTN since 1997, shaping future engineers in radioprotection and radiation detection. His dual role as a researcher and instructor underscores his commitment to the field. While he has a robust practical background, expanding his publication record and enhancing networking could further amplify his impact. Overall, Mr. Repetto exemplifies the qualities of leadership, dedication, and innovation, making him a prominent figure in the nuclear engineering community.

Profile:

Education:

Mr. Georges Repetto has a strong educational background in engineering, beginning with his studies at the École Centrale de Lyon (ECL), where he earned his degree in engineering from 1979 to 1981. Following this, he specialized in atomic engineering at the Institut des Sciences et des Techniques Nucléaires (INSTN). This solid foundation in engineering and nuclear science has equipped him with the technical knowledge necessary to excel in his extensive career in nuclear safety and research. Since 1997, Repetto has also contributed to education as a trainer at the INSTN, teaching courses on radiation detection and protection, as well as experimental reactors. His academic roles have evolved over the years, culminating in his appointment as a researcher and lecturer in 2008, followed by a promotion to Maître de conférences in 2014 and subsequently to assistant professor in 2021. This blend of education and teaching illustrates his commitment to advancing knowledge in the field.

Professional Experience:

Mr. Georges Repetto has a rich professional experience spanning over three decades in nuclear engineering and safety. He began his career in 1982 with the Marine Nationale at Cadarache, where he engaged in neutron studies and gamma radiation calculations. From 1983 to 1990, he served as an engineer at CEA Cadarache, leading critical experiments within the PHEBUS program, which focused on reactor safety under severe conditions. His leadership roles continued as he became the head of various teams, overseeing projects related to core degradation and radiometry. From 2000 to 2009, he managed significant research projects at IRSN, contributing to the understanding of reactor cooling loss and fission product analysis. Since 2015, he has been involved in advanced R&D projects at IRSN, enhancing nuclear safety protocols. Repetto’s extensive hands-on experience, combined with his leadership in pivotal projects, underscores his commitment to the advancement of nuclear engineering.

Research Skills:

Mr. Georges Repetto possesses a diverse array of research skills that have significantly contributed to advancements in nuclear engineering and safety. His expertise in neutron studies and gamma spectrometry allows him to conduct in-depth analyses of nuclear processes, particularly in assessing reactor behavior and safety. He has demonstrated exceptional capabilities in experimental design, having directed numerous high-stakes experiments, notably within the PHEBUS program, where he evaluated severe reactor conditions. Repetto is skilled in data interpretation and modeling, particularly regarding core degradation and fission products, which are critical for enhancing reactor safety measures. Additionally, his experience with non-destructive testing techniques, such as radiography and tomography, highlights his ability to innovate in experimental methodologies. Furthermore, his role as an educator showcases his ability to communicate complex concepts effectively, fostering collaboration and knowledge transfer within the research community. Overall, Repetto’s comprehensive research skills make him a valuable asset in the field of nuclear safety.

Publication Top Notes:

  • VIKTORIA Experiments in the Frame of R&D Project on Sump Filtration During a Loss of Coolant Accident
    Authors: Repetto, G., Trigeol, J.-F., Soltész, V.
    Journal: Nuclear Engineering and Design
    Year: 2024
    Volume: 428
    Article: 113563
    Citations: 0
  • COAL Experiments Investigating the Reflooding of a 7 X 7 Rod Bundle During a Loss of Coolant Accident: Effect of a Partially Blocked Area with Ballooned Rods
    Authors: Repetto, G., Grando, Q., Bruyère, B., Fortman, R., Van Lochem, R.
    Conference: Proceedings of the 20th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2023
    Year: 2023
    Pages: 1910–1923
    Citations: 1
  • Experimental Study of the Effect of Neighboring Rods in Fuel Cladding Deformation Under LOCA Conditions
    Authors: Dominguez, C., Lacote, P., Viretto, A., Charbaut, S., Repetto, G.
    Conference: Proceedings of TopFuel 2022 Light Water Reactor Fuel Performance Conference
    Year: 2022
    Pages: 576–583
    Citations: 1
  • Parametric Effects on the Flow Redistribution in Ballooned Bundles Evaluated by Magnetic Resonance Velocimetry
    Authors: Oliveira, A.V.S., Stemmelen, D., Leclerc, S., Repetto, G., Gradeck, M.
    Journal: Experimental Thermal and Fluid Science
    Year: 2021
    Volume: 125
    Article: 110383
    Citations: 4
  • Velocity Field and Flow Redistribution in a Ballooned 7×7 Fuel Bundle Measured by Magnetic Resonance Velocimetry
    Authors: Oliveira, A.V.S., Stemmelen, D., Leclerc, S., Repetto, G., Gradeck, M.
    Journal: Nuclear Engineering and Design
    Year: 2020
    Volume: 369
    Article: 110828
    Citations: 8
  • Viktoria Experiments Investigating the Filtering System in the Sump of a PWR After a Loss of Coolant Accident: Part II Downstream Effects
    Authors: Repetto, G., Migot, B., Heib, C., Soltész, V.
    Conference: 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019
    Year: 2019
    Pages: 910–923
    Citations: 1
  • Viktoria Experiments Investigating the Filtering System in the Sump of a PWR After a Loss of Coolant Accident: Part I Physical/Chemical Effects on Strainer Head Loss Evolution
    Authors: Repetto, G., Migot, B., Trigeol, J.-F., Soltész, V.
    Conference: 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019
    Year: 2019
    Pages: 407–420
    Citations: 1
  • Study on Heat Transfer Inside a Blocked Region of a Rod Bundle During a LOCA – Experimental and Model Approach
    Authors: Peña Carrillo, J.-D., Glantz, T., Repetto, G., Gradeck, M., Labergue, A.
    Conference: 17th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2017
    Year: 2017
  • Core Coolability in Loss of Coolant Accident: The COAL Experiments Investigating the Thermal Hydraulics of a Rod Bundle with Blocked Area During the Reflooding
    Authors: Repetto, G., Glantz, T., Guillard, G., Bruyère, B., Grando, Q.
    Conference: 17th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2017
    Year: 2017
    Citations: 3

Conclusion:

Georges Repetto stands out as a formidable candidate for the Best Researcher Award due to his extensive experience, leadership in pivotal projects, and commitment to education. His contributions have significantly advanced the understanding of nuclear reactor safety and degradation. By addressing areas for improvement, particularly in publication and networking, he can further enhance his impact on the field. His dedication to both research and teaching makes him a valuable asset to the scientific community, and he embodies the qualities that the Best Researcher Award seeks to recognize.

Christos Mytafides | Materials Engineering Award | Excellence in Innovation

Dr Christos Mytafides | Materials Engineering Award | Excellence in Innovation

Dr Christos Mytafides , University of Ioannina, Greece

Christos Mytafides is a distinguished researcher in advanced multifunctional materials and energy-harvesting technologies. Born on July 14, 1985, in Xanthi, Greece, he currently resides in Chania, Crete. Christos earned his Ph.D. from the University of Ioannina, focusing on printed electronics and energy-harvesting composites. His work is well-regarded for its innovation in integrating advanced materials into structural composites. He has held various roles, including Postdoctoral Research Scientist at Technical University of Crete and R&D Engineer at ARCO/Murray. Christos has been a Fulbright Scholar at the University of Miami and has collaborated with leading institutions like Eindhoven University of Technology. His research has led to multiple publications and patents, and he continues to push the boundaries of material science and sustainability.

Publication Profile

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Education

Christos Mytafides holds a Ph.D. in Materials Science & Engineering from the University of Ioannina, where he specialized in advanced multifunctional energy-harvesting materials (2018-2023). His Master’s Degrees include one in Advanced Materials from the University of Ioannina (2016-2018), focusing on optoelectronic and magnetic materials, and another in Environmental Engineering & Science from Democritus University of Thrace (2013-2015), emphasizing energy-efficient designs. He also has a Bachelor’s Degree in Structural Engineering from the International Hellenic University (2003-2009), where he studied structural analysis and restoration. Additionally, Christos completed online courses in Quantum Physics, Sustainable Energy, and other relevant fields from prestigious institutions like Stanford and MIT. His comprehensive education reflects a strong foundation in both theoretical and applied aspects of materials science and engineering.

Experience 

Christos Mytafides has a diverse professional background in materials science and engineering. Currently a Postdoctoral Research Scientist at Technical University of Crete, he works on advanced composite materials. Previously, he served as a Research & Development Engineer at ARCO/Murray, focusing on structural and sustainability engineering. He was involved in several projects at the University of Ioannina, including Horizon 2020 and NSRF projects related to energy harvesting and smart materials. Christos also gained valuable experience during his Fulbright Scholarship at the University of Miami, researching multifunctional composites. His work as a Lab Assistant and Teaching Assistant at various universities, including Eindhoven University of Technology and Democritus University of Thrace, further underscores his expertise in both research and education. His experience spans across different research laboratories and practical engineering roles, reflecting a robust career in material science.

Awards and Honors

Christos Mytafides has received significant recognition for his contributions to materials science and energy-harvesting technologies. He was awarded the Fulbright Scholarship for his research at the University of Miami, which highlights his innovative work in multifunctional composites. His research has been recognized in various prestigious journals, underscoring the impact of his contributions to advanced materials and energy-harvesting technologies. Christos has also been involved in notable projects such as Horizon 2020 and NSRF, further cementing his reputation in the field. His work on advanced composites and energy-harvesting materials has earned him several accolades, including publication in high-impact journals like Materials Advances and Journal of Power Sources. His commitment to advancing the field of materials science is reflected in the numerous awards and honors he has received throughout his career.

Research Focus 

Christos Mytafides’s research focuses on advanced multifunctional materials and energy-harvesting technologies. His work primarily explores the integration of printed electronics with structural composites to develop innovative energy-harvesting solutions. He is particularly interested in developing and characterizing materials that can efficiently convert and store energy. His research includes the design and fabrication of high-performance solar cells, thermoelectric generators, and other energy-harvesting devices. Christos’s work also encompasses optoelectronic and magnetic materials, with applications in sustainable energy systems and smart textiles. His contributions to the field have led to significant advancements in the efficiency and functionality of composite materials. By combining theoretical knowledge with practical applications, Christos aims to push the boundaries of materials science and engineering, addressing contemporary challenges in energy sustainability and advanced material development.

Publication Top Notes

“A hierarchically modified fibre-reinforced polymer composite laminate with graphene nanotube coatings operating as an efficient thermoelectric generator” 🌐 Energy Advances, 2024

“Integrated architectures of printed electronics with energy-harvesting capabilities in advanced structural composites” 📚 University of Ioannina, 2023

“Carbon fiber/epoxy composite laminates as through-thickness thermoelectric generators” 🛠️ Composites Science and Technology, 2023

“Fully printed and flexible carbon nanotube-based thermoelectric generator capable for high-temperature applications” ⚡ Journal of Power Sources, 2022

“Printed single-wall carbon nanotube-based Joule heating devices integrated as functional laminae in advanced composites” 🔬 ACS Applied Materials & Interfaces, 2021

“A high performance flexible and robust printed thermoelectric generator based on hybridized Te nanowires with PEDOT: PSS” 🔋 Applied Energy, 2021

Hengyu Liu | Geotechnical Engineering Award | Best Researcher Award

Mr Hengyu Liu | Geotechnical Engineering Award | Best Researcher Award

Mr Hengyu Liu, School of Resources and Safety Engineering, Central South University, China

Hengyu Liu is a PhD candidate specializing in Geotechnical Engineering at Central South University. His research focuses on the intelligent prediction and management of geological hazards in mining environments. Liu has authored multiple papers in esteemed journals and conferences, showcasing his expertise in data-driven modeling and simulation of slope stability and rock mechanics. He holds patents and software copyrights related to mining safety technologies, underscoring his innovative contributions to the field. Liu actively participates in national research projects and has presented his work internationally, demonstrating his commitment to advancing safety engineering in resource extraction.

Publication Profile

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Education

Hengyu Liu is pursuing his PhD in Safety Engineering at Central South University. His academic journey began in 2019, focusing on civil engineering with a specialization in Geotechnical Engineering. Liu has consistently excelled academically, leveraging his expertise to explore predictive modeling techniques for assessing geological risks in mining contexts. His educational background is complemented by practical experiences in software development and patent innovations aimed at enhancing safety measures in mining operations.

Experience 

Hengyu Liu has extensive research experience in the field of Geotechnical Engineering, particularly in the application of advanced modeling techniques to predict and mitigate geological hazards. He has authored and co-authored several papers published in prestigious journals like “Nature Communications” and “Applied Sciences,” highlighting his contributions to the understanding of slope stability, rock mechanics, and landslide prediction. Liu has also led and participated in national research projects focusing on slope deformation in open-pit mines, demonstrating leadership and collaborative skills in multidisciplinary environments. His work includes the development of simulation platforms and the implementation of innovative technologies to improve safety standards in mining practices.

Research focus

Hengyu Liu’s research centers on the intelligent prediction and management of geological hazards in mining environments. He specializes in leveraging data-driven approaches and advanced modeling techniques such as deep learning and optimization algorithms to analyze and forecast slope stability, rockburst intensity, and landslide risks. Liu’s work aims to enhance safety protocols and operational efficiencies in mining operations through predictive analytics and simulation platforms. His research contributes significantly to the field of Geotechnical Engineering, addressing critical challenges in resource extraction while advocating for sustainable and safe mining practices.

Publication Top Note

“Deep learning in rockburst intensity level prediction: performance evaluation and comparison of the NGO-CNN-BiGRU-Attention model” 📚

Grzegorz Swit | Civil Engineering Award | Best Researcher Award

Prof Grzegorz Swit | Civil Engineering Award | Best Researcher Award

Prof Grzegorz Swit, Kielce University of Technology,Poland

🌍 Prof. Grzegorz  Świt, born on January 29, 1971, in Kielce, is a Polish civil engineer and full professor at Kielce University of Technology. With a Ph.D. and habilitation in technical sciences, he specializes in building structures. He serves as Dean of the Faculty of Construction and Architecture and heads the Department of Strength of Building Materials and Structures. His expertise spans project management (PRINCE2®), foreign languages (English B2, Russian B1), and accreditation auditing. Świt collaborates extensively with industry leaders like Polska Spółka Gazownictwa and “CIECH” S.A., focusing on R&D and production continuity projects. 🏗️

Publication Profile

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Education

prof Grzegorz  Świt, a civil engineer graduated from Kielce University of Technology in 1994, expanded his expertise with an MSc in construction, specializing in Building Structures in 1996. Continuing his academic journey, he earned a doctorate in technical sciences in 2001 and further achieved habilitation in 2012, all from Kielce University of Technology. Recognized as a full professor by the President of Poland in 2021, Świt’s career embodies dedication to academia and research in building materials and structures. 🏗️

Experience

Prof Grzegorz Świt has been an integral part of Kielce University of Technology since February 1993, starting as a full-time engineer and technical staff until 1995 with grants from Professors L. Gołaski and Z. Kowal. He progressed through roles as an assistant and assistant professor in the Department of Strength of Materials until 2013, when he became a full professor. Since 2020, he has led the Department of Strength of Building Materials and Structures and served as Dean of the Faculty of Construction and Architecture (2020-2024). Appointed as a Full Professor by the President of Poland in 2021, Świt also contributes as an independent technical auditor at the Polish Accreditation Center. 🏢

Research Focus

👨‍🏫 Grzegorz Świt is a Dean and Full Professor at Kielce University of Technology, Poland. His research focuses on the application of the acoustic emission method for structural health monitoring, with significant contributions to materials science and engineering. He has authored numerous articles and conference papers, exploring topics such as non-destructive testing methods, fracture mechanics, and smart city infrastructure. Grzegorz is actively involved in advancing innovative engineering solutions, particularly in monitoring the quality and integrity of steel and composite structures using experimental and numerical approaches. 📚🔬

Publication Top Notes