Haiwei Wu | Engineering | Best Researcher Award

Published on by Book of Award

Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Fucan Huang | Engineering | Excellence in Research Award

Published on by Book of Award

Dr. Fucan Huang | Engineering | Engineering | Excellence in Research Award

Shandong University of Science and Technology | China

Dr. Fucan Huang is an emerging researcher in mechanical fault diagnosis, known for advancing intelligent diagnostic methods through deep learning, multi-attention mechanisms, and cross-domain adaptability. His work focuses on improving fault detection accuracy in complex industrial environments, particularly under fluctuating conditions, imbalanced datasets, and multi-source domain challenges. He has contributed significantly to Measurement Science and Technology and Machines, co-authoring several influential papers. His research includes the development of an adaptive attenuation self-attention adversarial network for cross-domain diagnosis, a multi-source domain collaborative bearing fault method guided by multi-attention mechanisms, and innovative dual-domain vision transformer frameworks. These contributions enhance the robustness, generalizability, and interpretability of diagnostic models, strengthening intelligent maintenance systems and promoting safer, more efficient industrial operations.

Profile : Orcid

Featured Publications

An, Y., Zhang, D., Zhang, M., Xin, M., Wang, Z., Ding, D., Huang, F., & Wang, J. (2025). Residual attention-driven dual-domain vision transformer for mechanical fault diagnosis. Machines, 13(12), Article 1096.

Huang, F., Zhang, Q., Han, B., Wang, J., Zhang, Z., Ge, R., & Gong, H. (2025). Adaptive attenuation self-attention adversarial network for cross-domain fault diagnosis under imbalanced conditions. Measurement Science and Technology, 31 December 2025.

Ge, R., Zhang, Z., Wang, J., Wang, W., Fan, Z., & Huang, F. (2025). Multi-source domain bearing fault collaborative diagnosis method for unbalanced samples guided by multi-attention mechanism. Measurement Science and Technology, 30 November 2025.

Han, B., Huang, F., Qin, M., Qin, H., Wang, J., Zhang, Z., & Yu, Y. (2025). Dual-domain fused vision transformer for mechanical fault diagnosis under fluctuating working conditions. Measurement Science and Technology, 30 April 2025.

Shima Sadaf | Electrical Engineering | Best Academic Researcher Award

Published on by Book of Award

Assist. Prof. Dr. Shima Sadaf | Electrical Engineering | Best Academic Researcher Award

King Faisal University | Saudi Arabia

Assist. Prof. Dr. Shima Sadaf is a highly accomplished researcher in materials science, nanotechnology, electrochemistry, and energy systems, with a strong publication record reflected in 486 citations, an h-index of 11, and an i10-index of 11, demonstrating the impact and consistency of her scientific contributions. Her research spans advanced materials synthesis, including nanomaterials, thin films, perovskites, and green-synthesized nanoparticles, with applications in electrocatalysis, supercapacitors, photocatalysis, energy storage, and environmental remediation. She has made notable advancements in designing electrocatalysts for hydrogen evolution reactions, developing high-performance supercapacitive materials, and creating photocatalysts capable of degrading pollutants and enhancing hydrogen production. Her work also extends to UV photodetectors, memristor technologies, and electrochemical sensors for detecting heavy metals, glucose, uric acid, and dopamine. In the field of energy systems, she has contributed to innovative DC–DC converters, voltage ripple reduction techniques, and sustainable power solutions for nanogrids and renewable energy integration. Her publications include significant contributions to journals in materials chemistry, ceramics, energy conversion, and semiconductor processing, covering topics such as green-synthesized TiO₂/rGO nanocomposites, lead-free perovskites for solar-driven water splitting, NiCo₂O₄-based electrocatalysts, and advanced transition-metal nanoparticles. Her research continues to advance sustainable materials and energy technologies with broad scientific and industrial relevance.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Utami, M., Ramadhani, M. A., Purnama, I., Purwiandono, G., Yenn, T. W., Husniati, Sadaf, S., Al-Taisan, N. A., Almuhawish, N. F., Al-Farhan, A. M., et al. (2026). Green biogenic synthesis of Ag-loaded TiO₂/rGO nanocomposite and its prospective applications in antibacterial and self-cleaning surface coating. Materials Chemistry and Physics, 131573.

Khan, A. N., Rabhi, S., Khan, N. U., Ansari, S. A., Sadaf, S., & Alam, M. W. (2025). Harnessing solar energy with lead-free Tl₂BPI₆ (B = Cs, Rb) double perovskites for photocatalytic water splitting. Ceramics International.

Ghubayra, R., Shariq, M., Sadaf, S., Almuhawish, N. F., Iqbal, M., & Alam, M. W. (2025). Constructing a hybrid CuO over bimetallic spinal NiCo₂O₄ nanoflower as electrocatalyst for hydrogen evolution reaction. International Journal of Hydrogen Energy.

Kaur, H., Sharma, A., Kumar, S., Alam, M. W., Sadaf, S., & Al-Othoum, M. A. S. (2025). Evaluation of photocatalytic efficacy of biosynthesized cubic NiFe₂O₄ nanoparticles. Nano.

Alam, M. W., Kharade, R. B., Alsulaim, G. M., Aleithan, S. H., Sadaf, S., Chava, R. K., Shin, D.-K., & Yewale, M. A. (2025). Improved Ni₃V₂O₈ supercapacitive performance via urea-driven morphological alteration. Ceramics International.

Yewale, M. A., Shin, D. K., Alam, M. W., Teli, A. M., Nabi, S., Ansari, S. A., Sadaf, S., & Al-Kahtani, A. A. (2024). Controlled synthesis and electrochemical characterization of Co₃V₂O₈ hexagonal sheets for energy storage applications. Colloids and Surfaces A: Physicochemical and Engineering Aspects.

Alam, M. W., Nivetha, A., BaQais, A., Ansari, S. A., Yewale, M. A., & Sadaf, S. (2024). Development and analysis of novel Sm-doped LaSiO for photocatalytic degradation and electrochemical sensing of heavy metals. Ceramics International.

Alam, M. W., Ambikapathi, R., Nabi, S., Nivetha, A., Abebe, B., Almutairi, H. H., Sadaf, S., & Almohish, S. M. (2024). Advancements in green-synthesized transition metal/metal-oxide nanoparticles for sustainable wastewater treatment: Techniques, applications, and future prospects. Materials Research Express.

Aldughaylibi, F. S., Ulla, H., Allag, N., Alam, M. W., BaQais, A., Al-Othoum, M. A. S., & Sadaf, S. (2024). Development of molybdenum trioxide–based modified graphite sheet electrodes for enhancing the electrochemical sensing of dopamine. Materials Science in Semiconductor Processing.

Kumar, J. V., Alam, M. W., Selvaraj, M., Almutairi, H. H., Albuhulayqah, M., Sadaf, S., Dhananjaya, M., & Joo, S. W. (2024). Fluorescent carbon dots for biodiesel production: A comprehensive review (2019–2024). Inorganic Chemistry Communications.

Alam, M. W., Allag, N., Utami, M., Waheed-Ur-Rehman, M., Al-Othoum, M. A. S., & Sadaf, S. (2024). Facile green synthesis of α-bismuth oxide nanoparticles: Its photocatalytic and electrochemical sensing of glucose and uric acid in an acidic medium. Journal of Composites Science.

Simy Baby | Engineering | Best Researcher Award

Published on by Book of Award

Mrs. Simy Baby | Engineering | Best Researcher Award

National Institute of Technology | India

Mrs. Simy Baby is an emerging researcher whose scholarly contributions center on semantic communications, machine learning, and computer vision, with a strong emphasis on communication-efficient feature extraction for edge inference tasks. She has authored 2 documents, received 2 citations, and holds an h-index of 1, reflecting the growing impact of her research in advanced communication technologies. Her publications in SCI-indexed journals, including Elsevier’s Computers & Electrical Engineering and IEEE Transactions on Cognitive Communications and Networking, demonstrate her commitment to innovation and excellence. Her study, “Complex Chromatic Imaging for Enhanced Radar Face Recognition”, introduced a novel complex-valued representation preserving amplitude and phase information of mmWave radar signals, achieving 99.7% recognition accuracy. Another major contribution, “Complex-Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication”, proposed a CLDA-based encoding framework that improved feature interpretability and robustness under varying channel conditions. Her ongoing projects explore Data Fusion Discriminant Analysis (DFDA) for multi-view activity recognition and Semantic Gaussian Process Regression (GPR) for vehicular pose estimation, advancing the integration of semantic communication and computer vision. Mrs. Simy Baby’s research represents a vital step toward the development of intelligent, efficient, and adaptive communication systems for next-generation technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Baby, S. M., & Gopi, E. S. (2025). Complex valued linear discriminant analysis on mmWave radar face signatures for task-oriented semantic communication. IEEE Transactions on Cognitive Communications and Networking.

Baby, S. M., & Gopi, E. S. (2025, April). Complex chromatic imaging for enhanced radar face recognition. Computers and Electrical Engineering.

Tazebew Dires Kassie | Engineering | Editorial Board Member

Published on by Book of Award

Mr. Tazebew Dires Kassie | Engineering | Editorial Board Member

Debre Markos University | Ethiopia

Author profile

Scopus

Orcid

🌱 Early Academic Pursuits

Mr. Tazebew Dires Kassie's journey into the realm of mechanical engineering began at Debre Markos University, where he earned his Bachelor’s degree in Mechanical Engineering in 2016 with an impressive GPA of 3.8/4.0. Fueling his passion for sustainability and innovation, he pursued a Master’s in Sustainable Energy Engineering from Bahir Dar University, graduating in 2021 with a perfect CGPA of 4.0/4.0. His thirst for continuous learning has since led him to expand his expertise through multiple Nano Degrees in Artificial Intelligence, Data Science, Android Development, and Programming Fundamentals from Udacity Online, and a Master Class in Online Teaching from Arizona State University.

🧑‍🏫 Professional Endeavors

Mr. Tazebew has been a dedicated academic and engineering professional since 2016, serving as a Lecturer at Debre Markos University. His leadership skills were further recognized when he was appointed Head of the Mechanical Engineering Department in 2024, where he now oversees academic programs, faculty development, research innovation, and strategic planning. Beyond academia, his early industry experience as a Maintenance Technician at Dashen Brewery S.C. in 2015 provided a strong foundation in preventive maintenance, machinery troubleshooting, and operational efficiency.

🔬 Contributions and Research Focus

Mr. Tazebew’s research contributions lie at the intersection of renewable energy systems, thermoelectric modules, and sustainable mechanical solutions. His notable studies include optimizing stove waste heat recovery using evaporative cooling, investigating CuO-water nanofluids in thermal systems, and analyzing performance parameters of direct evaporative coolers. His publications are featured in top-tier journals such as Springer – Energy Systems, Elsevier – Journal of Thermofluids, and Case Studies in Thermal Engineering. He has published five research papers, many of which are in press, and led two funded projects as a Principal Investigator.

🏅 Accolades and Recognition

Throughout his academic and professional career, Mr. Tazebew has received multiple awards that reflect his innovation and community dedication. He earned the Best BSc Thesis Award from Debre Markos University and received formal recognition for designing and manufacturing 6 wheelchairs with integrated toilet and shower services, and a shoeshine boy’s working shade, improving both accessibility and dignity. His outreach and project work have also earned him six certificates for community engagement, especially in aiding people with disabilities.

🌍 Impact and Influence

Mr. Tazebew’s work goes beyond the confines of classrooms and labs. His community-oriented engineering solutions highlight the practical application of sustainable technologies to address local needs. As a speaker and presenter at forums such as the Ethiopian Society of Mechanical Engineering and national research conferences, he continues to inspire peers and students alike with innovations in energy-efficient systems and design thinking. His teaching integrates real-world challenges with engineering fundamentals, empowering future professionals with critical problem-solving skills.

🔮 Legacy and Future Contributions

Mr. Tazebew Dires Kassie stands as a beacon of innovation and community-driven engineering in Ethiopia. With his growing expertise in AI, data science, and digital technologies, he is poised to bridge traditional mechanical engineering with cutting-edge interdisciplinary approaches. As he continues to lead his department and expand his research portfolio, his legacy is one of sustainable impact, academic excellence, and inclusive design. The future holds promise for more transformative projects and leadership in green energy solutions, smart technologies, and engineering education reform.

Publications

📄  Design and Fabrication of a Multi-Terrain Triphibian Quadcopter for Airborne, Terrestrial, and Aquatic Mobility
Author: Tazebew Dires Kassie
Journal: Journal of Intelligent & Robotic Systems
Year: 2025

📄  Experimental Investigation of Air Velocity, Water Flow Rate and Staging of Cooling Pad on the Performance of Direct Evaporative Coolers
Authors: Tazebew Dires Kassie, Yaregal Eneyew Bizuneh
Journal: International Journal of Air Conditioning and Refrigeration
Year: 2025

📄  Numerical Studies on Thermo-Hydraulic Performance of Solar Air Heater with Quarter-Circle Roughness Ribs
Authors: Tazebew Dires Kassie, Yaregal Eneyew, Amare Merfo
Journal: Results in Engineering
Year: 2025

📄  Numerical Investigation on Heat Transfer of CuO-Water Nano-Fluid in a Circular Pipe with Twisted Tape Inserts
Authors: Tazebew Dires Kassie, Yaregal Eneyew Bizuneh, Endalkew Berhie Gebresilassie, Atalay Enyew Bizuneh
Journal: International Journal of Thermofluids
Year: 2025

📄 Enhancing a Thermoelectric Power Generation System’s Efficiency from a Stove’s Waste Heat by Optimizing the Heat Sink Temperature Junction Using a Direct Evaporative Cooler
Authors: Bimrew Admasu, Tazebew Dires Kassie, Getu Alemayehu Melas, Hailemariam Mulugeta, S. Nagarajan
Journal: Energy Systems
Year: 2025

Tenglong Huang | Engineering | Best Researcher Award

Published on by Book of Award

Assoc. Prof. Dr. Tenglong Huang | Engineering | Best Researcher Award

Northwest A&F University | China

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Tenglong Huang began his academic journey with a Bachelor of Engineering in Automation from Henan University of Technology (2015–2019), under the mentorship of Prof. Jingjing Yan. He then pursued his doctoral studies at the Harbin Institute of Technology, one of China's top engineering institutions, where he earned his Ph.D. in Control Science and Engineering in May 2024 under the esteemed guidance of Prof. Huijun Gao. His academic training laid a strong foundation in nonlinear control, intelligent systems, and robotics, which would define his career trajectory.

👨‍🏫 Professional Endeavors

In October 2024, Dr. Huang joined the College of Mechanical and Electronic Engineering at Northwest A&F University as an Associate Professor, where he continues to lead research and mentor the next generation of scholars. His professional engagements extend to multiple prestigious editorial and scientific boards. As of 2025, he serves on the Early Career Editorial Boards of Unmanned Systems Technology and Drones, as well as editorial roles for journals like Computer Science and Technology and Automation, Control and Intelligent Systems. These appointments reflect his growing leadership in the scientific community.

🔬 Contributions and Research Focus

Dr. Huang’s research contributions span across intelligent vehicles, mobile robots, robotic manipulators, and intelligent agriculture, with core expertise in nonlinear control, motion planning, and fault-tolerant systems. Noteworthy among his contributions is the Sine Resistance Network (SRN) for autonomous vehicle path planning, which improves trajectory smoothness and performance in dynamic environments. His publication in IEEE Transactions on Automation Science and Engineering introduced a bionic reliable suspension control system using pre-specified time convergence, enabling energy-efficient and fault-resilient vehicle dynamics.

Another impactful work includes a finite-time fault-tolerant integrated motion control system that ensures convergence and resilience in autonomous vehicle navigation, published in IEEE Transactions on Transportation Electrification. His research is widely recognized for eliminating the need for complex approximation tools while enhancing system reliability and computational efficiency.

🏅 Accolades and Recognition

Dr. Huang’s excellence has been recognized through various prestigious accolades, most notably earning Second Place (National First Prize) in the 2017 World Robot Contest Fighting Robot Competition. In addition to his technical achievements, he is a respected reviewer for top-tier journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, and IEEE Transactions on Intelligent Vehicles. He is also a frequent committee member and session chair at leading international conferences such as CVCI, ICRAIC, and China Automation Conference.

🌍 Impact and Influence

Dr. Huang’s research has had a transformative impact on the fields of autonomous driving and robotics, offering robust and innovative solutions to real-world engineering problems. His bioinspired and model-free control strategies have influenced both academic research and industrial applications. His interdisciplinary approach—integrating biology-inspired dynamics, control theory, and machine intelligence—demonstrates a pioneering spirit in the global smart mobility revolution. His mentorship and cross-institutional collaborations are helping shape new directions in intelligent automation and control systems.

🔭 Legacy and Future Contributions

As a leading voice in next-generation autonomous technologies, Assoc. Prof. Dr. Tenglong Huang is set to make even greater strides. With a growing portfolio of peer-reviewed publications, editorial board memberships, and global research collaborations, his work promises to further redefine the possibilities in autonomous systems, vehicle intelligence, and resilient control architectures. His visionary contributions continue to influence smart transportation, adaptive robotics, and intelligent agriculture—paving the way for more sustainable, safe, and responsive technological ecosystems.

Publications

📝 A Safe Motion Planning and Reliable Control Framework for Autonomous Vehicles

Authors: Huihui Pan, Mao Luo, Jue Wang, Tenglong Huang, Weichao Sun
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2024

📝 A Sensor Fault Detection, Isolation, and Estimation Method for Intelligent Vehicles

Authors: Tenglong Huang, Huihui Pan, Weichao Sun
Journal: Control Engineering Practice
Year: 2023

📝 Finite-Time Fault-Tolerant Integrated Motion Control for Autonomous Vehicles With Prescribed Performance

Authors: Tenglong Huang, Jue Wang, Huihui Pan, Weichao Sun
Journal: IEEE Transactions on Transportation Electrification
Year: 2023

📝 Adaptive Bioinspired Preview Suspension Control With Constrained Velocity Planning for Autonomous Vehicles

Authors: Tenglong Huang, Jue Wang, Huihui Pan
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2023

📝 Sine Resistance Network-Based Motion Planning Approach for Autonomous Electric Vehicles in Dynamic Environments

Authors: Tenglong Huang, Huihui Pan, Weichao Sun, Huijun Gao
Journal: IEEE Transactions on Transportation Electrification
Year: 2022

Nega Belay | Materials Science | Editorial Board Member

Published on by Book of Award

Mr. Nega Belay | Materials Science | Editorial Board Member

Bahir Dar University | Ethiopia

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Nega Belay began his academic journey with a Bachelor's degree in Mechanical Engineering from Debre Markos University, Ethiopia, graduating with a commendable CGPA of 3.34/4.0 in 2016. Driven by a passion for innovation and research, he pursued dual Master's degrees at Bahir Dar University: one in Materials Science and Engineering and the other in Electromechanical Engineering. He excelled academically with CGPAs of 3.53 and 3.55 respectively, showcasing a strong foundation in interdisciplinary engineering domains.

🧑‍💼 Professional Endeavors

Mr. Belay’s professional journey spans across quality control, inspection, and calibration engineering roles at AMIMTDE - Bahir Dar General Flexible and Foundry Factory. His responsibilities included developing inspection protocols, conducting precise calibrations, ensuring compliance with quality standards, and implementing advanced product testing methods. Earlier, he served as a Quality Control Engineer at the Amhara Metal Industry and Machine Technology Development Enterprise, where he led quality assurance initiatives and liaised with international machinery specifications.

He also gained valuable commercial experience as a sales agent at Ayat Share Company and technical insights through maintenance and design activities at the Bishoftu Automotive Industry, further enriching his multidisciplinary expertise.

🔬 Contributions and Research Focus

Mr. Belay’s research contributions reflect his commitment to sustainability and innovation in material science. His focus areas include:

🔹 Synthesis and characterization of materials for energy applications
🔹 Nanomaterials and polymers for additive manufacturing and 3D printing
🔹 Waste plastic pyrolysis for clean fuel production
🔹 Recycling of fabric waste into lightweight composite materials
🔹 Application of catalysts in environmentally friendly fuel generation

He is proficient in advanced tools and techniques like ANSYS, MATLAB, SolidWorks, and has programming experience in Python and Fortran, enabling him to integrate computational models with practical engineering solutions.

🏆 Accolades and Recognition

Mr. Belay’s scholarly work has earned significant recognition. He was honored as a Gates Master's Scholar in Materials Science and Engineering and received multiple certificates of achievement from AMIMTDE for excellence in quality control. Most notably, he was appointed as an Editorial Board Member and received an award at the 6th Edition of the International Analytical Chemistry Awards in March 2025 for his distinguished contributions to scientific research.

🌍 Impact and Influence

Mr. Belay's research has real-world impact, addressing global challenges such as energy sustainability, plastic waste reduction, and material reusability. His publications in top-tier journals — including Journal of Environmental Chemical Engineering, Energy, and Journal of Mechanical Engineering Science — have advanced the understanding of catalytic processes, green energy sources, and circular economy principles. His interdisciplinary approach links material science with electromechanical systems, influencing both academic research and industrial applications.

🚀 Legacy and Future Contributions

Looking forward, Mr. Belay aims to pioneer intelligent autonomous systems powered by advanced materials, contributing to fields such as robotics, biomaterials, and semiconductor technologies. His long-term vision includes developing energy-efficient, eco-friendly solutions using cutting-edge materials synthesis and real-time performance optimization of engineering systems. With a solid academic foundation, a robust research portfolio, and a growing influence in the scientific community, Mr. Nega Belay is poised to leave a lasting legacy in the field of materials science and engineering.

Publications

📄  Pyrolysis Liquid Fuel Production from Waste Plastics Using Spherical-Shape Zeolite Catalyst

Authors: Misganaw Alemu Zeleke, Nega Chanie Belay, Urška Lavrenčič Štangar, Witold Kwapinski, Kibret Mequanint
Journal: Journal of Environmental Chemical Engineering
Year: 2025

📄  Performance Evaluation of Liquid Fuel Derived from Waste Plastics for Diesel Engine Applications and Emissions Characteristics

Authors: Nega Chanie Belay, Birhanu Adisie Fentaw, Ramesh Babu Nallamothu, Melese Shiferaw Kebede
Journal: Energy
Year: 2025

📄  Recycling Fabric Waste into Composite Materials for the Applications of Lightweight Vehicle Body & Circular Economy

Authors: Melese Shiferaw Kebede, Nega Chanie Belay
Journal: Journal of Mechanical Engineering Science
Year: 2025

Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

Published on by Book of Award

Prof. Dr. Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

University of Genoa | Italy

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Prof. Dr. Fulvio Mastrogiovanni embarked on his academic journey with a strong foundation in engineering and robotics. He earned his Laurea Degree in Computer Engineering from the University of Genoa, Italy, in 2003, demonstrating exceptional promise with a final grade of 108/100. His thirst for knowledge led him to pursue a PhD in Bioengineering, Materials Science, and Robotics at the same university, which he successfully completed in 2008. His doctoral research set the stage for a future dedicated to advancing artificial intelligence (AI) and robotics.

Professional Endeavors 🏛️

A distinguished academic, Prof. Mastrogiovanni has built an illustrious career spanning multiple prestigious institutions worldwide. Since 2018, he has served as an Associate Professor at the University of Genoa, Italy. His scholarly journey includes visiting professorships at esteemed institutions such as Shanghai Polytechnic University, Keio University, and the Japan Advanced Institute of Science and Technology. His contributions extend beyond academia, having played key roles in international robotics programs, including Erasmus Mundus and JEMARO. Additionally, he has been a driving force in the Digital Innovation Hub – Liguria, leveraging technology for societal advancements.

Contributions and Research Focus 🔬

Prof. Mastrogiovanni's research lies at the intersection of AI and robotics, emphasizing human-robot interaction and cognitive robotics. His work in "embodied Artificial Intelligence" seeks to integrate AI-driven cognitive architectures, perception models, and semantic data processing techniques to enhance robotic autonomy and intelligence. He has pioneered efforts in developing cognitive robotic systems that seamlessly interact with humans, revolutionizing the way robots perceive and respond to their environment. His research projects, such as ROBOSKIN and InDex, have significantly contributed to the evolution of robotic intelligence and machine cognition.

Accolades and Recognition 🏆

His excellence has been recognized through numerous prestigious awards. He was honored with the National Award by Associazione Nazionale Giovani Innovatori in 2021 and has received multiple Best Paper Awards at IEEE and international robotics conferences. His groundbreaking work has earned him invitations to deliver keynote talks at global AI and robotics symposiums, solidifying his reputation as a thought leader in the field.

Impact and Influence 🌍

With over 229 publications, including journal articles, conference papers, book chapters, and patents, Prof. Mastrogiovanni has made a profound impact on the scientific community. His research has amassed over 3,352 citations with an h-index of 32 on Google Scholar. His collaborations with international universities and research institutions have fostered global advancements in robotics, influencing both academic discourse and industrial applications.

Legacy and Future Contributions 🚀

As a mentor, Prof. Mastrogiovanni has supervised numerous PhD and MSc students, shaping the next generation of robotics and AI experts. His leadership roles in major research consortia and technology transfer initiatives underscore his commitment to bridging academic research with real-world applications. Moving forward, he aims to push the boundaries of AI-driven robotics, particularly in medical robotics, cognitive architectures, and autonomous systems. His visionary work continues to redefine human-robot interaction, making significant strides towards an AI-empowered future.

 

Publications

  • 📄 A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue

    • Authors: Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni
    • Journal: Journal of Imaging
    • Year: 2025

  • 📄 A Systematic Review on Custom Data Gloves

    • Authors: Valerio Belcamino, Alessandro Carfì, Fulvio Mastrogiovanni
    • Journal: IEEE Transactions on Human-Machine Systems
    • Year: 2024

  • 📄 Enhancing Machine Learning Thermobarometry for Clinopyroxene-Bearing Magmas

    • Authors: Mónica Ágreda-López, Valerio Parodi, Alessandro Musu, Diego Perugini, Maurizio Petrelli
    • Journal: Computers and Geosciences
    • Year: 2024

  • 📄 Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing Based on Artificial Intelligence Planning

    • Authors: Erfan Shojaei Barjuei, Alessio Capitanelli, Riccardo Bertolucci, Fulvio Mastrogiovanni, Marco Maratea
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024

  • 📄 A Hierarchical Sensorimotor Control Framework for Human-in-the-Loop Robotic Hands

    • Authors: Lucia Seminara, Strahinja Dosen, Fulvio Mastrogiovanni, Matteo Bianchi, Simon Watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, et al.
    • Journal: Science Robotics
    • Year: 2023

 

Ji Changpeng | Engineering | Best Researcher Award

Published on by Book of Award

Prof. Ji Changpeng | Engineering | Best Researcher Award

Liaoning Technical University | China

Author Profile

Orcid

Early Academic Pursuits 🎓

Prof. Ji Changpeng began his academic journey with a Master’s degree in Computer Application Technology from Liaoning Technical University, which he completed in 2005. His strong foundation in computer applications laid the groundwork for his illustrious career in academia and research. With a keen interest in technological innovation and problem-solving, Prof. Ji's early academic endeavors marked the beginning of his contributions to the field of computer science.

Professional Endeavors 🏢

Currently a full professor and Master supervisor at Liaoning Technical University, Prof. Ji holds several prestigious roles. He is a recognized Codesys Senior Application Engineer and a Senior Artificial Intelligence Designer. As the Academic Leader of Information and Communication Engineering, he has played a pivotal role in shaping the department's vision. Additionally, his influence extends to academic leadership as a key member of the Outstanding Young Teacher initiative in Liaoning Province (2006). He also serves as an expert in discipline assessment and dissertation evaluations for the Ministry of Education, showcasing his authority in the field.

Contributions and Research Focus 🔬

Prof. Ji’s research contributions are vast and impactful. Having presided over more than 60 research projects, his work has significantly advanced the fields of artificial intelligence, information engineering, and communication systems. He has published over 160 academic papers and authored three academic works, contributing valuable insights and innovation to the global research community. His patents, numbering more than 40, highlight his practical approach to solving complex technological problems. Prof. Ji’s expertise as an editor and reviewer for esteemed journals such as Journal of Computers and IJConvC further solidifies his influence in academia.

Accolades and Recognition 🏆

Prof. Ji has received six prestigious science and technology advancement medals for his groundbreaking contributions. His role as an editorial board member and specialist reviewer for several reputed journals speaks volumes about his standing in the academic world. These accolades reflect his dedication to excellence and his commitment to pushing the boundaries of technology and innovation.

Impact and Influence 🌟

Through his extensive research, patents, and academic leadership, Prof. Ji has profoundly influenced the fields of artificial intelligence and communication engineering. His role in mentoring future researchers and supervising Master’s students ensures that his knowledge and vision continue to inspire the next generation. His work has not only shaped his university but has also had a far-reaching impact on the global research community.

Legacy and Future Contributions 🌍

Prof. Ji Changpeng’s contributions have left an indelible mark on the academic and technological landscape. His ability to blend research with practical application has set a benchmark for innovation. As he continues to explore new frontiers in artificial intelligence and communication engineering, his legacy will undoubtedly pave the way for groundbreaking advancements and a brighter future for technology and education.

 

Publications

📄 Design of Shared-Aperture Base Station Antenna with a Conformal Radiation Pattern
Journal: Electronics
Year: 2025
Authors: Ji Changpeng, Xin Ning, Wei Dai

📄 A Lightweight Safety Helmet Detection Algorithm Based on Receptive Field Enhancement
Journal: Processes
Year:2024
 Authors: Ji Changpeng, Zhibo Hou, Wei Dai

 

Xizhong Shen | Engineering | Best Researcher Award

Published on by Book of Award

Prof. Dr. Xizhong Shen | Engineering | Best Researcher Award

Shanghai Institute of Technology | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Prof. Dr. Xizhong Shen's academic journey is marked by stellar achievements. He began his undergraduate studies at Shanghai University, earning a B.S. degree in 1990. He advanced his knowledge in medical sciences at Nanchuang University, where he received an M.D. in 1995. His pursuit of excellence culminated in a Ph.D. from the prestigious Shanghai Jiao Tong University in 2005, cementing his foundation in advanced research methodologies.

Professional Endeavors 🏫

Dr. Shen serves as a key academic figure at the Shanghai Institute of Technology, Shanghai, China. His professional career is dedicated to fostering innovation in electronics, computational sciences, and academia. Known for his dedication to teaching and mentoring, he inspires a new generation of researchers to contribute to evolving technological fields.

Contributions and Research Focus 🔍

Dr. Shen's research primarily focuses on cutting-edge topics, including deep learning, signal processing, and electronic CAD. With over 100 published research papers, he has significantly contributed to advancing these fields. His expertise is further reflected in his authorship of the authoritative book Digital Signal Processing, a seminal work that bridges theoretical insights with practical applications.

Accolades and Recognition 🏆

Dr. Shen's contributions have garnered widespread recognition in academic and industrial communities. His prolific research output and the quality of his work make him a respected thought leader in his fields of expertise.

Impact and Influence 🌟

Through his groundbreaking research and extensive publications, Dr. Shen has influenced both theoretical and applied sciences. His work in deep learning and signal processing is widely referenced, forming a basis for advancements in these areas. As an educator, his mentorship has shaped numerous successful careers in technology and academia.

Legacy and Future Contributions 🌍

As an innovator and thought leader, Dr. Shen’s legacy lies in his dedication to pushing technological boundaries. His future endeavors are expected to address emerging challenges in signal processing and artificial intelligence, ensuring his ongoing influence in these dynamic fields.

 

Publications

📄 Investigation of Bird Sound Transformer Modeling and Recognition

  • Author(s): Yi, D., Shen, X.
  • Journal: Electronics (Switzerland)
  • Year: 2024

📄 Feature-Enhanced Multi-Task Learning for Speech Emotion Recognition Using Decision Trees and LSTM

  • Author(s): Wang, C., Shen, X.
  • Journal: Electronics (Switzerland)
  • Year: 2024

📄 An Algorithm for Distracted Driving Recognition Based on Pose Features and an Improved KNN

  • Author(s): Gong, Y., Shen, X.
  • Journal: Electronics (Switzerland)
  • Year: 2024

📄 Air Leakage Detection and Rehabilitation Test Methods for Digital Thoracic Drainage Systems

  • Author(s): Wu, X., Shen, X.
  • Conference Paper: 2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering, ICSECE 2024
  • Year: 2024

📄 Temperature Control System of Hot and Cold Alternating Treatment System Based on Kalman Filter Combined with Fuzzy Logic

  • Author(s): Xiong, Z., Shen, X.
  • Journal: Applied Mathematics and Nonlinear Sciences
  • Year: 2024