Genfeng Liu | Engineering | Best Researcher Award

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Dr. Genfeng Liu | Engineering | Best Researcher Award

Research Scholar at Henan University of Technology, China

Genfeng Liu is a highly qualified candidate for the Best Researcher Award, with a strong background in control science and engineering, specializing in data-driven control, adaptive control, and fault-tolerant systems. His research spans intelligent transportation, multiagent systems, and nonlinear systems, contributing to high-impact IEEE journals such as IEEE Transactions on Cybernetics (IF: 19.118) and IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255). As a reviewer for leading journals, he holds strong academic credibility. His work on model-free adaptive control and cybersecurity applications demonstrates real-world relevance. To enhance his profile, he could expand international collaborations, increase industry applications, and lead large-scale research projects. While his contributions are highly significant, further engagement in technology transfer and interdisciplinary research would strengthen his impact. Overall, his extensive publication record and research influence make him a strong contender for the award, with potential for even greater contributions in the future.

Professional Profile

Education

Genfeng Liu received his Ph.D. in Control Science and Engineering from Beijing Jiaotong University, China, in 2021. His doctoral research focused on advanced control methodologies, including data-driven control, iterative learning control, and fault-tolerant control, which have significant applications in intelligent transportation and nonlinear systems. Throughout his academic journey, he developed expertise in adaptive control and multiagent systems, contributing to cutting-edge research in automation and cybernetics. His education provided a strong foundation in both theoretical and applied control engineering, enabling him to publish in prestigious IEEE journals. Additionally, his academic background equipped him with the analytical and problem-solving skills necessary to address complex challenges in system automation and intelligent control. His commitment to continuous learning and research excellence is evident in his contributions to high-impact scientific literature and his role as a reviewer for renowned international journals, solidifying his reputation as an expert in his field.

Professional Experience

Genfeng Liu is currently a Lecturer at the College of Electrical Engineering, Henan University of Technology, Zhengzhou, China. His professional experience revolves around advanced control engineering, with a focus on data-driven control, adaptive control, and fault-tolerant systems. As a researcher, he has made significant contributions to intelligent transportation systems, multiagent systems, and nonlinear control, publishing extensively in high-impact IEEE journals. Beyond his research, he actively participates in academic peer review for prestigious journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Intelligent Vehicles, reinforcing his role as a respected scholar in the field. His expertise extends to supervising students and collaborating on interdisciplinary projects, bridging the gap between theoretical advancements and practical applications. His ongoing work in model-free adaptive control and cybersecurity-related control mechanisms further strengthens his impact in academia and industry, positioning him as a leader in modern control systems and intelligent automation research.

Research Interest

Genfeng Liu’s research interests lie in advanced control engineering, with a strong focus on data-driven control, adaptive control, and fault-tolerant control. His work explores iterative learning control and model-free adaptive control techniques, particularly in applications related to intelligent transportation systems, nonlinear systems, and multiagent systems. He is also interested in cybersecurity aspects of control systems, such as defense mechanisms against false data injection attacks. His research aims to enhance the efficiency, safety, and reliability of automation in modern transportation and industrial systems. By integrating artificial intelligence with control theory, he seeks to develop innovative solutions for complex, real-world engineering challenges. His studies have been published in top-tier journals, reflecting his commitment to advancing theoretical and applied knowledge in control science. Additionally, his expertise in intelligent transportation and system optimization continues to drive impactful contributions to the fields of automation, cybernetics, and industrial informatics.

Award and Honor

Genfeng Liu has received several accolades and recognition for his outstanding contributions to the field of control science and engineering. His research publications in prestigious IEEE journals, such as IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems, have earned him significant recognition within the academic community. As an active reviewer for renowned international journals, he has been acknowledged for his critical evaluations and contributions to the peer-review process. His innovative work in data-driven control, adaptive control, and fault-tolerant systems has positioned him as a leading researcher in intelligent transportation and nonlinear systems. Additionally, his participation in high-profile conferences and collaborations with esteemed researchers further highlight his impact in the field. While his research achievements are commendable, pursuing national and international research grants and awards would further enhance his recognition and establish him as a distinguished leader in control engineering and automation.

Research Skill

Genfeng Liu possesses strong research skills in advanced control engineering, specializing in data-driven control, adaptive control, and fault-tolerant control. He is proficient in developing and implementing iterative learning control and model-free adaptive control strategies for complex nonlinear and multiagent systems. His expertise extends to intelligent transportation systems, where he applies innovative control techniques to enhance automation and safety. He is highly skilled in mathematical modeling, algorithm development, and system optimization, enabling him to solve real-world engineering challenges effectively. His ability to conduct in-depth theoretical analysis and translate findings into practical applications is evident in his numerous high-impact publications in top-tier IEEE journals. Additionally, his experience as a reviewer for prestigious academic journals demonstrates his critical thinking and analytical skills. His research capabilities, combined with his ability to collaborate on interdisciplinary projects, make him a valuable contributor to the fields of cybernetics, automation, and industrial informatics.

Conclusion

Genfeng Liu is a highly suitable candidate for the Best Researcher Award due to his exceptional research output, high-impact publications, and contributions to control engineering and intelligent transportation systems. To further strengthen his candidacy, increasing international collaborations, practical industry applications, and leadership roles in large-scale projects would make his research even more impactful.

Publications Top Noted

  • Title: Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks
    Authors: Genfeng Liu, Jinbao Zhu, Yule Wang, Yangyang Wang
    Year: 2025
    Citation: DOI: 10.3390/sym17030471

  • Title: Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2024
    Citation: DOI: 10.1109/TNNLS.2022.3185080

  • Title: Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2022
    Citation: DOI: 10.1109/TCYB.2020.2986006

  • Title: RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TSMC.2019.2957299

  • Title: Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TITS.2020.2970000

  • Title: A Model-Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude
    Authors: Gaoyang Jiang, Genfeng Liu, Hansong Yu
    Year: 2021
    Citation: DOI: 10.3390/sym13020347

  • Title: A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
    Authors: Xian Yu, Shangtai Jin, Genfeng Liu, Ting Lei, Ye Ren
    Year: 2020
    Citation: DOI: 10.1109/ACCESS.2020.3038629

  • Title: Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors
    Authors: Ziwei Zhang, Shangtai Jin, Genfeng Liu, Zhongsheng Hou, Jianmin Zheng
    Year: 2020
    Citation: DOI: 10.3390/pr8030333

Zhenyan Xia | Engineering | New Horizons Science Invention Award

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Mr. Zhenyan Xia | Engineering | New Horizons Science Invention Award

Associate Professor at Tianjin University, China

Xia Zhenyan is an Associate Professor at Tianjin University, specializing in fluid mechanics, molecular dynamics, and physical chemistry. With extensive experience in turbulent flow control, fluid flow instability, and micronano structures, he has led and contributed to 18+ research projects funded by prestigious national and industrial organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program. His innovative research on superhydrophobic surfaces has introduced novel methods to reduce droplet contact time by 37%, with applications in engineering, coatings, and energy systems. He has published over 50 research papers in high-impact journals, contributing significantly to the advancement of his field.

Professional Profile

Education

Xia Zhenyan holds advanced degrees in mechanical engineering and fluid mechanics from Tianjin University. His academic training provided a strong foundation in theoretical modeling, computational fluid dynamics (CFD), and materials science, shaping his research focus on fluid flow behavior and molecular interactions. His educational background has enabled him to bridge the gap between fundamental research and real-world applications, particularly in engineering solutions involving microfluidics, nanotechnology, and hydrophobic surface design.

Professional Experience

Currently serving as an Associate Professor at the School of Mechanical Engineering, Tianjin University, Xia Zhenyan is also the Deputy Director of the Department of Mechanics. His professional career is marked by multidisciplinary research collaborations in fluid dynamics, advanced materials, and computational modeling. As the Principal Investigator (PI) of multiple national research projects, he has played a key role in developing innovative solutions for industrial fluid mechanics challenges. His expertise extends to engineering applications for energy-efficient materials, hydrodynamics, and smart surface technology, making him a recognized leader in his field.

Research Interests

Xia Zhenyan’s research focuses on fluid mechanics, molecular dynamics, and physical chemistry, with a particular interest in turbulent flow control, fluid flow instability, and micronano-structured surfaces. His work explores the theoretical and engineering applications of molecular dynamics in fluid interactions, contributing to advancements in superhydrophobic coatings, energy-efficient materials, and microfluidics. A key aspect of his research involves developing novel techniques to reduce droplet contact time on surfaces, which has potential applications in biomedical engineering, aerospace, and industrial coatings. His interdisciplinary approach integrates computational simulations, experimental studies, and theoretical modeling, driving innovations in fluid behavior prediction, nanotechnology applications, and hydrodynamic performance enhancement.

Awards and Honors

Xia Zhenyan has been recognized for his outstanding contributions to fluid mechanics and molecular dynamics through multiple national and institutional awards. His research projects have received funding from prestigious organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program, highlighting the significance of his work. His publications in high-impact journals such as Physics of Fluids and Computational Materials Science have earned him academic recognition. As a Principal Investigator (PI) of multiple groundbreaking projects, he has been honored for excellence in scientific innovation and engineering applications. Additionally, his role as Deputy Director of the Department of Mechanics at Tianjin University reflects his leadership in advancing mechanical engineering and fluid dynamics research.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Shi, H., Xu, H., Bai, Y., Xia, Z. (2025). The effect of superhydrophobic surfaces with circular ring on the contact time of droplet impact. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Citations: 0
  • Shi, H., Hou, X., Xu, H., Bai, Y., Xia, Z. (2024). An analysis of the contact time of nanodroplets impacting superhydrophobic surfaces with square ridges. Computational Materials Science. Citations: 0
  • Tai, Y., Xu, H., Bai, Y., Wang, S., Xia, Z. (2022). Experimental investigation of the impact of viscous droplets on superamphiphobic surfaces. Physics of Fluids, 34(2), 022101. Citations: 8
  • Yan, K., Guo, X., Xia, Z. (2021). The experimental study on the characteristics of turbulent boundary layer based on the PIV technology of non-uniform interrogation window. Chinese Journal of Applied Mechanics, 38(4), pp. 1293–1300. Citations: 2
  • Tai, Y., Zhao, Y., Guo, X., Wang, S., Xia, Z. (2021). Research on the contact time of a bouncing microdroplet with lattice Boltzmann method. Physics of Fluids, 33(4), 042011. Citations: 11
  • Xia, Z., Zhao, Y., Yang, Z., Wang, S., Wang, M. (2021). The simulation of droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by laser irradiation and silanization processes. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125966. Citations: 22
  • Xia, Z., Xiao, Y., Yang, Z., Liu, X., Tian, Y. (2019). Droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by hybrid laser ablation and silanization process. Materials, 12(5), 765. Citations: 27
  • Xia, Z., Li, Z., Li, J., Tian, Y. (2016). An experimental study on breakup characteristics of impinging jets. Journal of Tianjin University Science and Technology, 49(7), pp. 770–776. Citations: 6
  • Xu, L., Xia, Z., Zhang, M., Du, Q., Bai, F. (2015). Experimental research on breakup of 2D power law liquid film. Chinese Journal of Chemical Engineering, 23(9), pp. 1429–1439. Citations: 3
  • Li, J.-J., Xia, Z.-Y., Tian, Y. (2015). Experiment on breakup mechanism of impinging jet of power-law liquid. Journal of Aerospace Power, 30(7), pp. 1752–1758. Citations: 1

Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

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Prof. Dr. Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

Professeur at Department of Engineering, College of Engineering, University of Bisha, Saudi Arabia

Dr. Mohamed Kchaou is a Professor of Mechanical Engineering at the University of Bisha, Saudi Arabia, specializing in sustainability and research. He holds an impressive academic background, with an h-index of 21 and significant professional achievements, including a nomination for Full Membership in Sigma Xi, The Scientific Research Honor Society. His work has earned him recognition as one of the top 5 scientists at the University of Bisha in 2025, ranked first in Engineering & Technology. In addition to his academic roles, he contributes to international relations, scientific research, and graduate studies. He has worked in various international institutions and is recognized for his leadership in the academic and research communities, particularly in mechanical engineering, tribology, and innovation.

Professional Profile

Education 

Dr. Kchaou earned his Ph.D. in Mechanical Engineering from the Ecole Centrale of Lille (France) and the University of Sfax (Tunisia) in 2010. His thesis focused on the coupling friction oxidation effect on the wear of H13 steel, specifically for hot forging applications. He completed his Master’s degree in Mechanics and Engineering from the National School of Engineers of Sfax in 2007, where he studied performance and damage in a copper alloy under torsion fatigue. His academic journey began with a Bachelor’s in Electromechanical Engineering from the National School of Engineers of Sfax in 2006. His educational foundation laid the groundwork for his expertise in tribology, sustainability, and materials science.

Professional Experience

Dr. Kchaou holds a distinguished academic career, currently serving as a full Professor at the University of Bisha, where he also plays an integral role as a Consultant to the Deputy Vice-Chancellor for Graduate Studies and Scientific Research. His leadership in international relations and research partnerships has made significant impacts on the university. Previously, he served as the Vice-Dean at the Higher Institute of Arts and Crafts of Sfax and has been involved with several prestigious universities across Europe, including in France, Spain, and Turkey. Throughout his career, he has held various positions ranging from Assistant Professor to Associate Professor, delivering impactful courses in materials science, industrial management, and mechanical engineering at different international institutions. Dr. Kchaou’s diverse academic and administrative roles reflect his expertise and commitment to advancing engineering education and research.

Research Interests

Dr. Mohamed Kchaou’s research primarily focuses on sustainability, tribology, and the performance of materials in mechanical engineering. His work explores the friction oxidation effects on wear and tear, especially in the context of hot forging applications, aiming to improve the durability and efficiency of materials under extreme conditions. He is also interested in the development and optimization of new materials, particularly in relation to mechanical behavior and damage tolerance under different loading conditions. Dr. Kchaou’s expertise spans multiple aspects of materials science, including fatigue behavior, wear mechanisms, and the interplay between mechanical properties and environmental factors. He has a keen interest in applying these insights to various industries, such as automotive and manufacturing, to promote energy-efficient and environmentally sustainable solutions. His research contributes to advancing both theoretical knowledge and practical applications in materials engineering and mechanical systems.

Awards and Honors

Dr. Mohamed Kchaou has earned numerous prestigious awards and honors throughout his academic career. Notably, he has been nominated for Full Membership in Sigma Xi, The Scientific Research Honor Society, recognizing his significant contributions to the field of mechanical engineering. In 2025, he was ranked as one of the top 5 scientists at the University of Bisha, securing the first position in the Engineering & Technology category. Dr. Kchaou’s h-index of 21 is a testament to the impact and relevance of his research in the scientific community. Furthermore, he has been recognized for his leadership and academic excellence, particularly for his significant contributions to international collaborations in research and higher education. His ability to bridge academic expertise with real-world challenges has made him a prominent figure in the engineering field, particularly in the domains of sustainability and tribology.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Oily wastewater treatment: Overview of conventional and modern methods, challenges, and future opportunities
    Authors: K Abuhasel, M Kchaou, M Alquraish, Y Munusamy, YT Jeng
    Year: 2021
    Citations: 249
  • An overview of green corrosion inhibitors for sustainable and environment friendly industrial development
    Authors: N Hossain, M Asaduzzaman Chowdhury, M Kchaou
    Year: 2021
    Citations: 198
  • Friction characteristics of a brake friction material under different braking conditions
    Authors: M Kchaou, A Sellami, R Elleuch, H Singh
    Year: 2013
    Citations: 103
  • Steam explosion as sustainable biomass pretreatment technique for biofuel production: Characteristics and challenges
    Authors: AT Hoang, XP Nguyen, XQ Duong, Ü Ağbulut, C Len, PQP Nguyen, …
    Year: 2023
    Citations: 97
  • Surface characterization and mechanical behavior of aluminum based metal matrix composite reinforced with nano Al2O3, SiC, TiO2 particles
    Authors: MBA Shuvho, MA Chowdhury, M Kchaou, BK Roy, A Rahman, MA Islam
    Year: 2020
    Citations: 91
  • Experimental investigation on the tribo-thermal properties of brake friction materials containing various forms of graphite: a comparative study
    Authors: S Manoharan, R Vijay, D Lenin Singaravelu, M Kchaou
    Year: 2019
    Citations: 89
  • Squealing characteristics of worn brake pads due to silica sand embedment into their friction layers
    Authors: ARM Lazim, M Kchaou, MKA Hamid, ARA Bakar
    Year: 2016
    Citations: 70
  • Experimental studies of friction-induced brake squeal: influence of environmental sand particles in the interface brake pad-disc
    Authors: M Kchaou, ARM Lazim, MKA Hamid, ARA Bakar
    Year: 2017
    Citations: 69
  • Failure mechanisms of H13 die on relation to the forging process–A case study of brass gas valves
    Authors: M Kchaou, R Elleuch, Y Desplanques, X Boidin, G Degallaix
    Year: 2010
    Citations: 69
  • Development and performance evaluation of eco-friendly crab shell powder based brake pads for automotive applications
    Authors: DL Singaravelu, R Vijay, S Manoharan, M Kchaou
    Year: 2019
    Citations: 63
  • Study of the interaction between microstructure, mechanical and tribo-performance of a commercial brake lining material
    Authors: A Sellami, M Kchaou, R Elleuch, AL Cristol, Y Desplanques
    Year: 2014
    Citations: 60
  • 3D-printed objects for multipurpose applications
    Authors: N Hossain, MA Chowdhury, MBA Shuvho, MA Kashem, M Kchaou
    Year: 2021
    Citations: 46
  • Water absorption and mechanical behaviour of green fibres and particles acting as reinforced hybrid composite materials
    Authors: M Kchaou, SJ Arul, A Athijayamani, P Adhikary, S Murugan, FK Aldawood, …
    Year: 2023
    Citations: 43
  • Investigation on tribological and corrosion characteristics of oxide-coated steel and mild steel fiber-based brake friction composites
    Authors: S Manoharan, R Vijay, M Kchaou
    Year: 2018
    Citations: 34
  • Surface disinfection to protect against microorganisms: Overview of traditional methods and issues of emergent nanotechnologies
    Authors: M Kchaou, K Abuhasel, M Khadr, F Hosni, M Alquraish
    Year: 2020
    Citations: 32

Tharindu Madhushanka | Engineering | Best Researcher Award

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Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built …
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available

Babatunde Ogunbayo | Engineering | Best Researcher Award

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Mr. Babatunde Ogunbayo | Engineering | Best Researcher Award

Research Student at aof Engineering and Built Environment, University of Johannesburg, South Africa

Mr. Babatunde Ogunbayo is an accomplished professional specializing in Quantity Surveying and Construction Management with a robust academic and industry background. His expertise spans project cost management, budgeting, contract administration, and construction project planning, making him an essential contributor to his field. Known for his analytical approach, Ogunbayo has played key roles in various construction projects, ensuring efficient resource allocation and cost control. He is also actively engaged in academia, providing guidance to students and participating in research to advance construction management practices. Through his work, he bridges the gap between theory and practice, enabling future industry professionals to gain insights grounded in real-world applications. Mr. Ogunbayo’s contributions, marked by a strong commitment to quality and precision, have positioned him as a respected figure in the field, impacting both industry standards and educational practices in construction management.

Professional Profile

Education

Mr. Babatunde Ogunbayo has a strong academic foundation in Quantity Surveying and Construction Management, which underpins his expertise and professional contributions. His educational journey includes advanced studies in these fields, equipping him with critical skills in cost estimation, budgeting, and contract management. Through rigorous training, he has developed a keen analytical perspective essential for project planning and resource allocation. His academic qualifications not only reflect his commitment to excellence but also support his active involvement in research and teaching, where he imparts valuable knowledge to emerging professionals in construction management. Mr. Ogunbayo’s educational background aligns seamlessly with his hands-on experience, allowing him to effectively bridge theoretical concepts with practical applications. This blend of education and practical experience makes him a knowledgeable resource in Quantity Surveying, enabling him to uphold high standards of precision and efficiency in his field.

Professional Experience

Mr. Babatunde Ogunbayo brings extensive professional experience in Quantity Surveying and Construction Management, marked by his roles in cost management, budgeting, and contract administration on diverse projects. Known for his expertise in efficient resource allocation and cost control, Ogunbayo has overseen various stages of construction projects, from planning and estimation to project execution and post-completion review. His hands-on approach and attention to detail ensure that projects adhere to budget and quality standards, while his strategic insights contribute to optimizing workflows and minimizing waste. Alongside his industry roles, Ogunbayo is active in academia, where he mentors students and contributes to research in construction management, furthering best practices in the field. His combination of technical skills and project oversight experience has earned him a reputation as a reliable and effective leader in the industry, making a lasting impact on both practical and academic circles in construction management.

Research Interests

Mr. Babatunde Ogunbayo’s research interests center on advancing construction management practices, with a particular focus on cost control, project efficiency, and sustainable building solutions. He is deeply invested in exploring methods to optimize resource allocation and reduce waste, aiming to improve the financial and environmental impact of construction projects. His work emphasizes the integration of innovative cost-estimation models and advanced budgeting techniques, providing frameworks for more accurate financial forecasting in large-scale projects. Additionally, Ogunbayo is interested in sustainable construction, investigating materials and methods that minimize ecological footprints without compromising quality. His research also includes developing strategies for effective contract management and exploring digital tools to streamline project management processes. Through these efforts, Ogunbayo contributes to building industry knowledge, fostering practices that support both economic efficiency and environmental responsibility, and positioning him as a forward-thinking leader in construction research.

Awards and Honors

Mr. Babatunde Ogunbayo has received notable awards and honors that underscore his contributions and commitment to excellence in Quantity Surveying and Construction Management. His accolades highlight both his technical skills and leadership qualities in the field. Recognized for his expertise in cost management, budgeting, and resource optimization, Ogunbayo has been celebrated for his role in enhancing project efficiency and precision in construction practices. His dedication to advancing sustainable and innovative construction solutions has also earned him industry acknowledgment. Additionally, his academic achievements and involvement in mentoring emerging professionals have been commended by his peers, reflecting his influence in both educational and professional circles. These awards underscore Ogunbayo’s impact on construction management, recognizing his contributions to developing high standards in cost control and contract administration, as well as his commitment to fostering growth and knowledge within the industry.

Conclusion

Bamgbose is a strong candidate for the Research for Excellence in Best Researcher Award based on his extensive experience, academic achievements, and contributions to construction management and building technology. His impact on the field is evident through his hands-on project management roles and commitment to industry standards. Addressing areas like research publications and international certifications would further enhance his qualifications and elevate his standing in the competitive landscape for research awards.

Publication Top Noted

  • Title: Inhibiting Factors to the Implementation of Preferential Procurement Policy in the South African Construction Industry
    Authors: Tau, L.J., Ogunbayo, B.F., Aigbavboa, C.O.
    Year: 2024
    Citations: 0
  • Title: A Systematic Review of the Applications of AI in a Sustainable Building’s Lifecycle
    Authors: Adewale, B.A., Ene, V.O., Ogunbayo, B.F., Aigbavboa, C.O.
    Year: 2024
    Citations: 1
  • Title: Barriers to Building Information Modelling Adoption in Small and Medium Enterprises: Nigerian Construction Industry Perspectives
    Authors: Bamgbose, O.A., Ogunbayo, B.F., Aigbavboa, C.O.
    Year: 2024
    Citations: 2
  • Title: A Principal Component Analysis of Corporate Dispositions for Sustainable Building Construction in South Africa
    Authors: Emere, C.E., Aigbavboa, C.O., Oguntona, O.A., Ogunbayo, B.F.
    Year: 2024
    Citations: 0
  • Title: Assessing Monitoring and Evaluation Effectiveness for Projects in the Construction Industry
    Authors: Ogunbayo, B.F., Aigbavboa, C.O., Ahmed, S., Stevens, M.
    Year: 2024
    Citations: 0
  • Title: A Review of Applicable Approaches to Safety Incentive Schemes Design in the Construction Industry
    Authors: Ogundipe, K.E., Aigbavboa, C.O., Ogunbayo, B.F.
    Year: 2024
    Citations: 0
  • Title: Strategies for Successful Monitoring and Evaluation Practices in Construction Projects
    Authors: Ogunbayo, B.F., Ramabodu, M.S., Adewale, B.A., Ogundipe, K.E.
    Year: 2024
    Citations: 0
  • Title: Encumbrances to Social Media Applications in the South African Construction Industry
    Authors: Oguntona, O.A., Ndoda, U., Akinradewo, O., Ogunbayo, B.F., Aigbavboa, C.O.
    Year: 2024
    Citations: 0
  • Title: Assessing Current Health and Safety Practices in the Construction Industry in the Fourth Industry Revolution
    Authors: Abina, O.G., Ogunbayo, B.F., Aigbavboa, C.
    Year: 2024
    Citations: 0
  • Title: A Review of Barriers to Safety Incentives Design and Implementation in the Construction Industry
    Authors: Ogundipe, K.E., Ogunbayo, B.F., Aigbavboa, C.O.
    Year: 2024
    Citations: 0

Mohammadreza Esmaeilidehkordi | Engineering | Best Researcher Award

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Mr. Mohammadreza Esmaeilidehkordi | Engineering | Best Researcher Award

Author at Isfahan University of Technology, Iran

Mohamadreza Esmaeilidehkordi is an accomplished electrical engineer and researcher with expertise in control systems, machine learning, and nonlinear observation. He has a strong technical background and extensive hands-on experience in control systems and artificial intelligence, which he applies in interdisciplinary research projects. Known for his innovative approach to problem-solving, he has made notable contributions to fields like control system design, tumor detection, and fault detection in industrial systems. With a drive for academic excellence, Mohamadreza has authored impactful research publications and actively seeks to push the boundaries of his field through advanced techniques and new applications.

Professional Profile

Education

Mohamadreza completed his Master’s in Electrical Engineering (Control Systems) at Isfahan University of Technology (IUT), one of Iran’s leading institutions. He achieved a high GPA (3.90/4), with a thesis on “Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine” that applied advanced machine learning techniques to nonlinear observer problems. His academic journey began with a Bachelor’s degree in Electrical Engineering from the Islamic Azad University of Najafabad, where he worked on fuzzy systems to control twin rotor systems. His rigorous coursework in neuro-fuzzy networks, adaptive control, and system identification provided a foundation that has deeply informed his research trajectory and professional work.

Professional Experience

Mohamadreza has over five years of professional experience in electrical engineering and research roles. His career began with an internship and later a position as an electrical engineer at Pars Taban Zagros Engineering Technical Company, where he developed and maintained electrical control panels. Concurrently, he served as a teaching and research assistant at IUT, focusing on linear control and fault detection of three-phase motors using fuzzy wavelet algorithms. His project management experience within IUT’s Scientific Association, where he led a fault detection project, speaks to his organizational skills and ability to apply academic research in practical, industrial contexts.

Research Interests

Mohamadreza’s research interests are rooted in control systems, nonlinear control, and artificial intelligence. He is particularly drawn to the integration of machine learning algorithms in control systems, aiming to enhance fault detection accuracy and develop adaptive models for complex systems. His interdisciplinary pursuits have led him to apply AI-driven techniques, such as fuzzy wavelet algorithms, to medical fields like tumor detection, demonstrating the versatility of his expertise. With a focus on real-world applications, he actively explores innovative methods to improve system efficiency and reliability, contributing meaningful advancements to both engineering and health sciences.

Awards and Honors

Throughout his academic and professional journey, Mohamadreza has been recognized for his exceptional aptitude and dedication. Notably, he ranked in the top 0.1% on Iran’s National Graduate Entrance Exam for Electrical Engineering, securing a full-tuition scholarship at IUT. Additionally, he achieved top 0.5% placement in the national exam for his undergraduate program. His academic excellence has been consistently recognized, underscoring his standing as a leading figure among his peers. Complementing his awards, he has also completed high-impact certifications in machine learning and programming, showcasing his commitment to continuous improvement and leadership in his field.

Conclusion

Overall, Mohamadreza Esmaeilidehkordi possesses a robust profile suitable for consideration for the Best Researcher Award. His strong technical foundation, focused research contributions, and dedication to control systems and machine learning applications make him a promising candidate. Addressing areas such as international exposure and language skills could further enhance his standing in future award considerations.

Publication Top Noted

  • Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine: A Nonlinear Observer Application
    Authors: M. Esmaeilidehkordi, M. Zekri, I. Izadi, F. Sheikholeslam
    Year: 2024
    Citation: Esmaeilidehkordi, M., Zekri, M., Izadi, I., & Sheikholeslam, F. (2024). Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine: A Nonlinear Observer Application. Fuzzy Sets and Systems, 108897.
  • Attention U-net approach in predicting Intensity Modulated Radiation Therapy dose distribution in brain glioma tumor
    Authors: M. Naeemi, M. R. Esmaeili, I. Abedi
    Year: 2023
    Citation: Naeemi, M., Esmaeili, M. R., & Abedi, I. (2023). Attention U-net approach in predicting Intensity Modulated Radiation Therapy dose distribution in brain glioma tumor. arXiv preprint arXiv:2305.07033.
  • Utilizing Armchair and Zigzag Nanoribbons for Improved Detection of So2 Toxicity with Graphene Biosensor
    Authors: M. Ramezani Farani, M. Esmaeilidehkordi, I. Alipourfard, M. Azarian, …
    Year: 2023
    Citation: Ramezani Farani, M., Esmaeilidehkordi, M., Alipourfard, I., Azarian, M., & others. (2023). Utilizing Armchair and Zigzag Nanoribbons for Improved Detection of So2 Toxicity with Graphene Biosensor. Available at SSRN 4852941.
  • Fuzzy Wavelet Online Sequential Extreme Learning Machine Applied as an Observer for Nonlinear Systems
    Authors: [Author names not provided, but should be included]
    Year: [Year not provided, please specify if known]
    Citation: [Citation information not provided, please specify if known].

Yasser Elsharkawy | Engineering | Best Innovation Award

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Prof Dr. Yasser Elsharkawy | Engineering | Best Innovation Award

Prof at optoelectronics department at Military technical college, Egypt

Prof. Yasser El-Sharkawy is a leading figure in optoelectronics and biomedical engineering, with a specialization in biophotonics. Based at the Military Technical College, his pioneering work in hyperspectral imaging has made significant contributions to the fields of medical diagnostics and security technologies. 🌟 His research combines cutting-edge science with real-world applications, especially in healthcare and safety.

Professional profile

Education📚

Prof. El-Sharkawy has an extensive background in optoelectronics and biophotonics, underpinned by rigorous academic training in engineering. His educational path, focused on the application of light-based technologies in biomedicine, has equipped him with advanced expertise in hyperspectral imaging for diagnostic purposes and beyond. 🎓📚

Professional Experience🏛️

As a professor at the Military Technical College, Prof. El-Sharkawy has played a key role in advancing biophotonics research. He has led significant projects in optoelectronics, and has collaborated on interdisciplinary research in both medical diagnostics and remote sensing. His leadership and teaching have helped train the next generation of engineers and researchers in these emerging technologies. 👨‍🏫💡

Research Interest🏆

His research focuses on hyperspectral imaging, with applications ranging from cancer diagnosis to vascular imaging and the detection of explosive materials. Prof. El-Sharkawy’s work demonstrates the potential of biophotonics in improving healthcare outcomes and enhancing security technologies. His interests lie in the intersection of technology and medicine, pushing the boundaries of what is possible in medical imaging and public safety. 🔬📈

Award and Honor

Prof. El-Sharkawy’s contributions to biophotonics and hyperspectral imaging have earned him significant recognition in academic and professional circles. His research on breast cancer diagnosis and tissue characterization is widely cited, reflecting the impact of his work. Additionally, his leadership at the Military Technical College has further established his role as a key figure in optoelectronics and biomedical engineering. 🏆🌐

Achievements🛠️

  • Pioneering Research in Hyperspectral Imaging: Developed advanced hyperspectral imaging techniques for medical diagnostics, including breast cancer detection and vascular imaging. 🌟🔬
  • Highly Cited Publication: His work on hyperspectral imaging for breast cancer diagnosis (2020) has received 71 citations, demonstrating the significant impact of his research in the medical field. 📈
  • Interdisciplinary Research: Applied hyperspectral imaging for remote sensing in security, particularly in detecting explosive materials, contributing to both healthcare and safety technologies. 🚀
  • Leadership in Optoelectronics and Biophotonics: Served as a professor at the Military Technical College, leading key projects in optoelectronics and training future engineers in cutting-edge technologies. 👨‍🏫💡
  • Collaboration Across Disciplines: Worked on projects combining biophotonics and public safety, advancing knowledge in fields such as tissue characterization and remote recognition of materials. 🌍
  • Published in High-Impact Journals: Authored influential papers in Photodiagnosis and Photodynamic Therapy, Remote Sensing Applications, and other respected journals, receiving widespread academic recognition. 📚🏅
  • Innovative Medical Applications: His research has practical implications, particularly in improving phlebotomy procedures and liver thermal ablation, pushing the boundaries of non-invasive medical imaging. 🏥
  • Security Technology Advancements: Contributed to enhancing public safety through remote detection of explosives using hyperspectral imaging, demonstrating the versatility of his expertise. 🛡️
  • Continued Growth: His recent research on corruption-poverty nexus and government effectiveness expands his work into socio-political issues, reflecting an evolving research focus. 📖
Publications top noted📜
  1. The potentials of nonlinear polarization with hyperspectral imaging of RNA for hepatocellular carcinoma early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Rizk, S.H., El-Sayyad, G.S.
    • Egyptian Journal of Medical Human Genetics, 25(1), 70
    • 0 citations 🌟
  2. Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Scientific Reports, 14(1), 415
    • 2 citations 🔬
  3. Advancements in non-invasive hyperspectral imaging: Mapping blood oxygen levels and vascular health for clinical and research applications
    • El-Sharkawy, Y.H.
    • Vascular Pharmacology, 155, 107380
    • 1 citation 🩺
  4. Detection and classification of floating and submerged polluted targets at turbid water using remote sensing hyperspectral imaging
    • Mahmoud, A., Elrewainy, A., El-Sharkawy, Y.H.
    • Journal of the Indian Society of Remote Sensing, 52(6), 1183–1200
    • 0 citations 🌊
  5. Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Optical and Quantum Electronics, 56(5), 780
    • 1 citation 🌍
  6. Novel laser-induced linear polarization for facile diagnosis of hepatocellular carcinoma
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Soula, M.A., El-Sayyad, G.S.
    • Optical and Quantum Electronics, 56(5), 709
    • 0 citations 🧬
  7. A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection
    • Youssef, A., Moa, B., El-Sharkawy, Y.H.
    • Photodiagnosis and Photodynamic Therapy, 46, 104048
    • 0 citations 🩻
  8. Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
    • Mahmoud, A., Kassem, M., Elrewainy, A., El-Sharkawy, Y.H.
    • International Journal of Advanced Manufacturing Technology, 131(9-10), 4935–4951
    • 0 citations 🏭
  9. Automated hyperspectral imaging for non-invasive characterization of human eye vasculature: A potential tool for ocular vascular evaluation
    • El-Sharkawy, Y.H.
    • Experimental Eye Research, 240, 109792
    • 1 citation 👁️
  10. Non-invasive diffused reflected/transmitted signature accompanied with hyperspectral imaging for breast cancer early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M.
    • Optics and Laser Technology, 169, 110151
    • 2 citations

Fangjun Wang | Engineering | Best Researcher Award

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Dr. Fangjun Wang | Engineering | Best Researcher Award

Ph.D. candidate at Southeast University, China

Wang Fangjun is a dedicated researcher currently pursuing a PhD in Power Engineering and Engineering Thermophysics at Southeast University. His academic journey includes a Master’s in Thermal Engineering from Shanghai University of Electric Power and a Bachelor’s in Automation from Southeast University Cheng Xian College. His professional experience focuses on advanced research in hydrogen-rich fuel gas production, CO2 capture, and chemical looping processes. Wang has been involved in designing modified calcium carriers for H2 production, constructing compact-fast dual fluidized bed units, and developing CO2 utilization technologies.

Professional profile

Education📚

Wang Fangjun is currently pursuing a PhD in Power Engineering and Engineering Thermophysics at Southeast University (2022–present). He holds a Master’s degree in Thermal Engineering from Shanghai University of Electric Power (2019–2022) and a Bachelor’s degree in Automation from Southeast University Cheng Xian College (2015–2019). His educational background provides a solid foundation in energy and engineering sciences.

Professional Experience🏛️

Wang Fangjun is a researcher in the field of energy and environmental technologies. His current research involves designing modified calcium carriers for hydrogen production and CO2 capture and constructing compact-fast dual fluidized bed units for effective CO2 capture. Previously, he focused on CO2 utilization and environmental protection technologies, including the development of active sulfur-modified carbon nitride and magnetic recovery systems for discarded catalysts.

Research Interest🏆

His research interests include hydrogen-rich fuel gas production, CO2 capture, chemical looping processes, and photocatalysis. Wang is particularly interested in developing innovative materials and processes for improving environmental sustainability and energy efficiency.

Award and Honor

  • National Scholarship of the People’s Republic of China (Top 0.2%) 🎓
  • Outstanding Graduate Students in Shanghai (Top 5%) 🏆
  • Southeast University Doctoral Freshman Scholarship (Top 0.3%) 🎓
  • Excellent Paper Award at the 2nd China Chemical Looping Conference (Top 3%) 📜

Technical Skills 🛠️

Wang is proficient in SEM-EDS, TEM, Raman, UV-Vis spectroscopy, and BET analysis. He is also experienced with software such as Microsoft Office, Origin, Photoshop, and Aspen Plus, demonstrating his technical versatility.

Publications top noted📜
  • “CO2 capture and H2 production performance of calcium-based sorbent doped with iron and cerium during calcium looping cycle”
    Wang, F., Chen, S., Chen, S., … Duan, L., Xiang, W.
    Process Safety and Environmental Protection, 2024, 188, pp. 1175–1190
    📄 0 citations
  • “Experimental investigation of operation characteristics of a lab-scale dual fluidized bed by calcium looping process”
    Liu, Y., Wang, F., Chen, S., Xiang, W.
    Chemical Engineering Science, 2024, 287, 119771
    📄 0 citations
  • “Carbon Dioxide Capture and Hydrogen Production with a Chemical Looping Concept: A Review on Oxygen Carrier and Reactor”
    Wang, F., Chen, S., Duan, L., Xiang, W.
    Energy and Fuels, 2023, 37(21), pp. 16245–16266
    📄 9 citations
  • “Construction of 2D/3D g-C3N4/ZnIn2S4 Heterojunction for Efficient Photocatalytic Reduction of CO2 under Visible Light”
    Wang, F., Chen, S., Wu, J., Xiang, W., Duan, L.
    Industrial and Engineering Chemistry Research, 2023, 62(39), pp. 15907–15918
    📄 7 citations
  • “Investigations on biomass gasification of compact-fast dual fluidized bed calcium looping”
    Wang, F., Zhou, W., Chen, S., Duan, L., Xiang, W.
    Journal of Cleaner Production, 2023, 405, 137065
    📄 8 citations
  • “Double adjustment of Ni and Co in CeO2/La2Ni2-xCoxO6 double perovskite type oxygen carriers for chemical looping steam methane reforming”
    Wang, F., Chen, S., Chen, S., … Duan, L., Xiang, W.
    Chemical Engineering Journal, 2023, 465, 143041
    📄 15 citations
  • “Ball-flower like CoS/g-C3N4 heterojunction photocatalyst for efficient and selective reduction of CO2 to CH4”
    Wang, F., Wu, J., Chen, S., Duan, L.
    Journal of CO2 Utilization, 2023, 69, 102402
    📄 6 citations
  • “Magnetically recyclable CoS-modified graphitic carbon nitride-based materials for efficient immobilization of gaseous elemental mercury”
    Wang, F., Tang, T., Zhang, R., … Chen, S., Li, W.
    Fuel, 2022, 326, 125117
    📄 47 citations
  • “Cu2+-doped BiOIO3 prepared by hydrothermal fabrication nanosheets for photocatalytic oxidation of gaseous mercury under visible light”
    Tang, T., Zou, J., Luo, F., … Li, J., Tian, F.
    Fuel, 2022, 311, 122513
    📄 17 citations
  • “LaFeO3 perovskite nanoparticles for efficient capture of elemental mercury from coal-fired flue gas”
    Pei, H., Li, X., Song, Y., … Zhao, X., Jia, T.
    Fuel, 2022, 309, 122134
    📄 19 citations

Muhammad Usama Zahid | Engineering | Best Researcher Award

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Mr. Muhammad Usama Zahid | Engineering | Best Researcher Award

PhD Scholar  at Sir Syed CASE Institute of Technology, Islamabad, Pakistan

Muhammad Usama Zahid is a Systems Engineer with a strong background in electronic warfare, signal processing, and artificial intelligence. Currently working with Scientific Engineering & Technology Services in Islamabad, he has a proven track record in system integration and development. 📈

Professional profile

Education📚

  • MS in Electrical Engineering (DSP): University of Engineering and Technology (UET), Taxila, July 2018
  • BS in Electrical Engineering (Electronics): Air University, Islamabad, June 2010
Professional Experience🏛️
  • Systems Engineer: Scientific Engineering & Technology Services, Islamabad (Mar 2019 – Present)
    • Led teams in system integration and performance optimization for the Pakistan Army.
    • Developed RF direction finding algorithms and validation applications.
  • Team Lead (C2): Scientific Engineering & Technology Services (Dec 2015 – Mar 2019)
    • Supervised development of C2 applications and led successful clearance of system milestones.
    • Designed machine learning-based RF fingerprinting modules and automatic modulation classification systems.
  • Application Engineer: Scientific Engineering & Technology Services (Jan 2011 – Dec 2015)
    • Developed and deployed RF direction finding algorithms and real-time frequency hopping analyzers.
  • SITE Engineer: Jaffer Brothers (Private) Limited, Islamabad (May 2010 – Jan 2011)
    • Executed network deployment and access control system installations.
Research Interest🏆
  • Electronic Warfare
  • Signal Processing Applications
  • Artificial Intelligence
  • Algorithms Design & Development
  • Data Analytics

Award and Honor

  • Chairman Certificate of Appreciation
  • DG’s Certificate of Appreciation
  • DG’s Commendation Card
  • Chairman PEC Appreciation Card
Achievements 🏆
  • Developed RF Direction Finding Algorithms: Engineered a calibration table generation process and validation application for airborne antenna arrays. 📡
  • Led System Integration Projects: Directed teams in integrating complex systems for the Pakistan Army, ensuring compliance with operational requirements. 🛠️
  • Machine Learning & Deep Learning Innovations: Designed and developed machine learning-based radio frequency fingerprinting modules and deep learning-based automatic modulation classification systems. 🤖
  • Successful System Clearances: Managed the successful clearance of key project milestones including Preliminary Design Review (PDR), Critical Design Review (CDR), Factory Acceptance Test (FAT), Integration Test (FIT), and System Acceptance Test (SAT). 🎯
  • Developed Real-Time Frequency Hopping Analyzers: Created and deployed algorithms for real-time frequency hopping analysis and gunshot detection and localization systems. 📊
  • Automated Water Purification Systems: Designed and automated water purification systems for shipborne platforms. 🚢
  • Integrated Network Systems: Executed network deployment and integration of IP-based devices and cameras for Jaffer Brothers. 🌐
  • Authored Notable Publications: Contributed to research on radio frequency fingerprinting and emitter identification with publications in IEEE Signal Processing Letters and other journals. 📚
Publications top noted📜
  • “Specific Emitter Identification Based on Multi-Scale Multi-Dimensional Approximate Entropy”
    IEEE Signal Processing Letters, 2024 📜
    Citations: 1 📈
  • “Radio Frequency Fingerprint Extraction Based on Multiscale Approximate Entropy”
    Physical Communication, 2022 📘
    Citations: 4 📈

Mauro De Sanctis | Engineering | Best Researcher Award

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Prof. Mauro De Sanctis | Engineering | Best Researcher Award

Associate Professor at University of Rome Tor Vergata, Italy 

Mauro De Sanctis is an esteemed Associate Professor of Telecommunications at the University of Roma “Tor Vergata” in Italy, where he teaches Information Theory and Data Science. With a Ph.D. in Telecommunications and Microelectronics Engineering from the same university, he has built a distinguished career in the field. Dr. De Sanctis is a founder of the university spin-off RadioPoints s.r.l. and has held various significant research roles, including at the Center for TeleInFrastruktur in Denmark and the Italian Space Agency (ASI). His work spans multiple international and European projects, focusing on satellite communications and wireless technologies. His contributions have been recognized through numerous awards and a high ranking in the Stanford/Elsevier list of Top 2% Scientists.

Professional profile

Education📚

Mauro De Sanctis earned his Ph.D. in Telecommunications and Microelectronics Engineering in 2006 from the University of Roma “Tor Vergata” (Italy). His academic journey laid the foundation for his extensive career in telecommunications research and technology.

Professional Experience🏛️

Dr. De Sanctis is an Associate Professor of Telecommunications at the Department of Electronics Engineering, University of Roma “Tor Vergata,” where he teaches Information Theory and Data Science. He has held notable positions, including research roles at the Center for TeleInFrastruktur (CTIF) in Denmark and the Italian Space Agency (ASI). He has been involved in several significant European and international projects, such as MAGNET, SatNEx, and TESHEALTH, and has coordinated high-profile projects like the Alphasat “Aldo Paraboni” Payload and the WIFISUITE project.

Research Interest🏆

His research interests focus on wireless terrestrial and satellite communication networks, wireless localization and sensing, data science, and information theory. He has contributed to advancing technologies in these areas through numerous projects and collaborations, often with a strong emphasis on space and satellite communications.

Award and Honor

Dr. De Sanctis has been recognized for his impactful work with multiple awards, including best paper awards from the International Conference on Advances in Satellite and Space Communications (SPACOMM 2009) and the International Symposium on Wireless Personal Multimedia Communications (WPMC 2022). In September 2022, he was ranked among the Top 2% Scientists by Stanford/Elsevier, highlighting his significant contributions to his field.

Achievements 🏆
  • Associate Professor at the Department of Electronics Engineering, University of Roma “Tor Vergata” (Italy) 🎓
  • Founder Member of the university spin-off RadioPoints s.r.l. 🏢
  • Research Fellow at the CTIF (Center for TeleInFrastruktur), University of Aalborg (Denmark) 🌍
  • Research Scholarship Holder at the Italian Space Agency (ASI) focused on Q/V band satellite communication links 📡
  • Scientific Responsible for the MAGNET Beyond European FP6 integrated project on “Coexistence of Radio Interfaces” 📊
  • Involved in the ESA ARIADNA extended study and Multipurpose Constellation project 🌌
  • Coordinator for projects like Alphasat “Aldo Paraboni” Payload and WIFISUITE, funded by ASI, ESA, and LazioInnova 🔬
  • General Chair of the European Wireless Conference 2023 🏆
  • Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and IEEE Aerospace and Electronic Systems Magazine 📚
  • Recipient of best paper awards from SPACOMM 2009 and WPMC 2022 🏅
  • Ranked among the Top 2% Scientists by Stanford/Elsevier in September 2022 🌟
  • Published over 150 papers in journals and conference proceedings, 7 book chapters, and holds one patent 📖

 

Publications top noted📜
  • Comparing Positioning Performance of LEO Mega-Constellations and GNSS in Urban Canyons
    IEEE Access | 2024
    DOI: 10.1109/ACCESS.2024.3364819
    Contributors: Harshal More; Ernestina Cianca; Mauro De Sanctis
  • Advanced Technologies for a Sustainable Future of Space
    Computer | 2024-08
    DOI: 10.1109/MC.2024.3402083
    Contributors: Ernestina Cianca; Mauro De Sanctis; Tommaso Rossi; Marina Ruggieri
  • A Study of DTN for Reliable Data Delivery From Space Station to Ground Station
    IEEE Journal on Selected Areas in Communications | 2024-05
    DOI: 10.1109/JSAC.2024.3365876
    Contributors: Ruhai Wang; Xingya Liu; Lei Yang; Yuanrong Xi; Mauro De Sanctis; Kanglian Zhao; Hong Yang; Scott C. Burleigh
  • Round Trip Time (RTT) and Doppler Measurements for IoRT Localization by a Single-Satellite
    IEEE Communications Letters | 2024-03
    DOI: 10.1109/LCOMM.2023.3348156
    Contributors: Syed Junaid Nawaz; Ernestina Cianca; Tommaso Rossi; Mauro De Sanctis
  • A Study of Licklider Transmission Protocol in Deep-Space Communications in Presence of Link Disruptions
    IEEE Transactions on Aerospace and Electronic Systems | 2023
    DOI: 10.1109/TAES.2023.3273523
    Contributors: Lei Yang; Jie Liang; Ruhai Wang; Xingya Liu; Mauro De Sanctis; Scott C. Burleigh; Kanglian Zhao
  • Short-term Forecast of Radiocommunication Geostationary Satellite Links coupling Weather Prediction and Radiopropagation Models
    2022 16th European Conference on Antennas and Propagation, EuCAP 2022 | 2022
    EID: 2-s2.0-85130602131
    Contributors: Biscarini, M.; Luini, L.; Riva, C.; Antonelli, P.; Di Fabio, S.; Bernardini, L.; Scaccia, P.; Cherubini, T.; Nebuloni, R.; Dossi, L. et al.
  • Experimental Model of Rainfall Rate Estimation Through the Opportunistic Use of Q-/V-Band Satellite Links
    IEEE Transactions on Aerospace and Electronic Systems | 2022-10
    DOI: 10.1109/TAES.2022.3163128
    Contributors: Tommaso Rossi; Mauro De Sanctis; Simone Di Domenico; Marina Ruggieri; Ernestina Cianca
  • RF-Based Device-Free Counting of People Waiting in Line: A Modular Approach
    IEEE Transactions on Vehicular Technology | 2022-10
    DOI: 10.1109/TVT.2022.3182548
    Contributors: Mauro De Sanctis; Simone Di Domenico; Davide Fioravanti; Eduardo Ballesteros Abellan; Tommaso Rossi; Ernestina Cianca
  • Low-Complexity Blind Equalization in Q/V Band Satellite Links: An Experimental Assessment
    IEEE Transactions on Aerospace and Electronic Systems | 2021-12
    DOI: 10.1109/TAES.2021.3111781
    Contributors: Tommaso Rossi; Mauro De Sanctis; Simone Di Domenico; Marina Ruggieri; Ernestina Cianca
  • CIR-Based Device-Free People Counting via UWB Signals
    Sensors | 2021-05-10
    DOI: 10.3390/s21093296
    Contributors: Mauro De Sanctis; Aleandro Conte; Tommaso Rossi; Simone Di Domenico; Ernestina Cianca