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

Daniel Mmereki | Engineering | Best Researcher Award

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Dr. Daniel Mmereki | Engineering | Best Researcher Award

Research Coordinator at University of the Witwatersrand, South Africa

Daniel Mmereki is a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, South Africa, with an academic background rooted in environmental science and exposure science. He holds a PhD in Engineering (Exposure Science) from Chongqing University, China, and an MSc in Environmental Science from the University of Botswana. Daniel has garnered considerable international recognition, as evidenced by his NRF C2 rating, and has experience working across several countries, including Botswana, China, Vietnam, and South Africa. His work bridges multiple disciplines, integrating environmental science, public health, and advanced technologies such as AI and machine learning. Daniel is passionate about addressing global challenges, particularly those related to environmental health and public health. His expertise includes environmental exposure assessments, statistical methods, research project management, and postgraduate student supervision.

Professional Profile

Education

Daniel Mmereki’s academic journey is distinguished by degrees and training in environmental science and exposure science. He earned his PhD in Engineering (Exposure Science) from Chongqing University in China, a program that allowed him to gain expertise in assessing environmental exposures and their implications on public health. Prior to his PhD, he completed his MSc in Environmental Science and a Bachelor’s degree in Environmental Science, both at the University of Botswana. His education is complemented by additional specialized training in statistical analysis, research project management, and machine learning. These qualifications equip him with a multidisciplinary approach to tackling complex research challenges. Throughout his academic career, Daniel has been committed to gaining in-depth knowledge and improving his technical skills in environmental and public health research.

Professional Experience

Daniel has accumulated extensive professional experience in academic and research settings, both in South Africa and internationally. As a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, he is involved in advanced public health research, focusing on environmental exposures and their impact on human health. His earlier work includes conducting research across Botswana, China, and Vietnam, where he applied his expertise in exposure science to a variety of environmental challenges. Additionally, Daniel has supervised postgraduate students, contributing to the academic development of emerging researchers. His professional experience also includes training in specialized areas such as project budgeting, writing research proposals, and applying statistical methods using software like STATA, STATISTICA, and SPSS. These roles have honed his skills in research leadership, project management, and mentorship.

Research Interests

Daniel Mmereki’s research interests lie at the intersection of environmental science, exposure science, and public health. He focuses on understanding the environmental factors that influence human health, particularly in the context of global environmental changes. His work involves assessing exposure to environmental pollutants and their health effects, with a special interest in how these factors contribute to chronic diseases. Daniel’s recent interests also include exploring the application of machine learning and AI techniques in public health research, aiming to identify patterns and trends in environmental health data. He is particularly passionate about addressing global public health challenges through data-driven approaches and interdisciplinary solutions. His research contributes to a better understanding of environmental health risks and aims to inform policy and public health strategies aimed at reducing these risks.

Awards and Honors

Daniel Mmereki has been recognized for his significant contributions to environmental science and public health research. His notable recognition includes the NRF C2 rating, which signifies considerable international recognition for his research impact and influence. This prestigious rating is a testament to his contributions to the field, particularly in the areas of exposure science and environmental health. Daniel has also received various honors and awards throughout his academic and professional career for his innovative research projects and academic leadership. His ability to merge advanced statistical methods with environmental science has positioned him as a respected researcher in his field. As he continues his career, Daniel’s work is expected to inspire further recognition for its global impact on public health and environmental policy.

Conclusion

Daniel Mmereki has a solid academic and research foundation with significant international experience and recognition in his field. His achievements in environmental science, exposure science, and public health demonstrate his capability for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the public health impact of his work, increasing his publication presence, and applying machine learning in novel ways within his research areas. Overall, he has the potential to be a standout researcher with further refinement of these aspects.

Publications Top Noted

  • Bladder cancer: a retrospective audit at a single radiation oncology unit of an academic hospital in Johannesburg, South Africa
    📝 Authors: Oliver, T., Ramiah, D., Mmereki, D., Hugo, M., Ayeni, O.A.
    📅 Year: 2024
    📚 Citations: 0
  • Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications
    📝 Authors: Yuan, F., Sun, Y., Li, N., Xu, Y., Bu, Z.
    📅 Year: 2024
    📚 Citations: 0
  • The management and prevention of food losses and waste in low- and middle-income countries: A mini-review in the Africa region
    📝 Authors: Mmereki, D., David, V.E., Wreh Brownell, A.H.
    📅 Year: 2024
    📚 Citations: 6
  • Reducing children’s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease
    📝 Authors: Tao, D., Sun, W., Mo, D., Dong, C., Bu, Z.
    📅 Year: 2024
    📚 Citations: 1
  • Status of health care waste management plans and practices in public health care facilities in Gauteng Province, South Africa
    📝 Authors: Ramodipa, T., Engelbrecht, K., Mokgobu, I., Mmereki, D.
    📅 Year: 2023
    📚 Citations: 1
  • Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review
    📝 Authors: Mmereki, D., Brouwer, D.
    📅 Year: 2022
    📚 Citations: 1
  • Waste-to-energy in a developing country: The state of landfill gas to energy in the Republic of South Africa
    📝 Authors: Mbazima, S.J., Masekameni, M.D., Mmereki, D.
    📅 Year: 2022
    📚 Citations: 14
  • Exposure to phthalates in the sleeping microenvironment of university dormitories: A preliminary estimate based on skin wipe and dust sampling
    📝 Authors: Yao, J., Hu, M., Yuan, F., Zheng, Y., Bu, Z.
    📅 Year: 2022
    📚 Citations: 8
  • Modeled exposure to phthalates via inhalation and dermal pathway in children’s sleeping environment: A preliminary study and its implications
    📝 Authors: Bu, Z., Dong, C., Mmereki, D., Ye, Y., Cheng, Z.
    📅 Year: 2021
    📚 Citations: 13
  • Phthalates in Chinese vehicular environments: Source emissions, concentrations, and human exposure
    📝 Authors: Bu, Z., Hu, M., Yuan, F., Cao, J., Zheng, Y.
    📅 Year: 2021
    📚 Citations: 8

Xu Zhang | Engineering Award | Best Scholar Award

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Dr. Xu Zhang | Engineering Award | Best Scholar Award

Associate professor at Hubei University of Technology, China

Xu Zhang is a distinguished scholar specializing in intelligent non-destructive testing (NDT) technologies. With a solid academic foundation in Acoustics, her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence in NDT systems. Zhang has been the principal investigator on several prestigious projects, including National Natural Science Foundation of China and National Key Research and Development Plan projects. She has made significant contributions to the fields of electromagnetic acoustic transducers (EMATs), guided wave detection methods, and corrosion imaging. Her research is not only innovative but also highly relevant to critical industries such as aerospace, automotive, and infrastructure.

Professional Profile

Education

Xu Zhang’s academic journey began with a Bachelor’s degree in Acoustics from Nanjing University in 2010. She furthered her education with a Master’s and PhD in Acoustics from the prestigious Chinese Academy of Sciences, where she honed her research focus on non-destructive testing technologies. In 2016, she became an Associate Professor in the Department of Mechanical Engineering at Hubei University of Technology. Xu is currently a Visiting Fellow at the University of Bristol, where she collaborates with global experts on advanced NDT methods. Her academic background has equipped her with a deep understanding of the complexities in material testing, structural health monitoring, and the application of electromagnetic and ultrasonic technologies in engineering.

Experience

Xu Zhang has extensive experience in the field of non-destructive testing and advanced materials inspection. Since 2016, she has served as an Associate Professor at Hubei University of Technology, specializing in intelligent NDT technologies. Zhang has been the Principal Investigator (PI) in numerous high-profile national and provincial projects, focusing on ultrasonic and electromagnetic testing techniques for stress corrosion cracking and high-temperature creep materials. Notable projects she has led include the development of an ultrasonic phased array detection system for automotive steering parts and the creation of technology for pipeline corrosion imaging. Her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence into NDT systems. Zhang is also a Senior Member of the Chinese Mechanical Engineering Society and an active participant in global research discussions on intelligent testing methodologies.

Research Focus

Xu Zhang’s research is primarily focused on intelligent non-destructive testing (NDT) technologies, with a specific emphasis on ultrasonic and electromagnetic guided wave techniques. She is dedicated to the development of advanced sensor systems and diagnostic tools that can detect flaws and assess material integrity in complex engineering structures. One of her key areas of research is the integration of artificial intelligence into NDT methodologies, enabling more efficient and accurate defect detection. Zhang’s work has applications in diverse industries, including automotive, aerospace, and infrastructure, particularly in stress corrosion cracking detection, high-temperature material assessment, and pipeline monitoring. Additionally, her research explores the enhancement of testing systems with electromagnetic transducers and phased array technologies, which improve detection sensitivity and system reliability. Her contributions to NDT technology continue to shape the future of materials testing and structural health monitoring.

Awards and Honors

Xu Zhang has been recognized for her pioneering work in non-destructive testing, particularly in the application of electromagnetic and ultrasonic guided wave technologies. As a Principal Investigator (PI), she has secured several prestigious grants and awards, including the National Key Research and Development Plan Project and the National Natural Science Foundation of China Project. Her research on stress corrosion cracking detection, material assessment, and corrosion imaging has earned her numerous accolades. Zhang has also been honored with key research project leadership positions from the Provincial Science and Technology Department, reflecting her influence in advancing the state of engineering diagnostics. She continues to contribute to the scientific community, and her work in non-destructive testing systems is frequently recognized for its practical applications in the fields of materials science and engineering.

Conclusion

Xu Zhang is a leading figure in the field of intelligent non-destructive testing, with an impressive array of research accomplishments and leadership in cutting-edge projects. Her scholarly work in the development of advanced testing systems and her commitment to pushing the boundaries of engineering innovation make her an outstanding candidate for the Best Scholar Award. With a strong foundation in both academic research and practical applications, Zhang’s continued contributions to the field hold the promise of significant advancements in industrial safety and technology.

Publications Top Noted

A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation

Authors: Zhang, X., Li, B., Niu, X., Song, X., Wu, Q.

Citations: 0

Year: 2024

Journal: NDT and E International, 148, 103231

Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer

Authors: Wu, Q., You, B., Zhang, X., Tu, J.

Citations: 0

Year: 2024

Journal: Sensors, 24(13), 4082

Characterization of Small Delamination Defects by Multilayer Flexible EMAT

Authors: Chen, T., Liu, S., Lv, C., Wu, Q., Zhang, X.

Citations: 1

Year: 2024

Journal: IEEE Sensors Journal, 24(12), pp. 19210–19219

Unidirectional focusing Rayleigh waves EMAT for plate surface defect Inspection

Authors: Chen, T., Lou, T., Lv, C., Wu, Q., Zhang, X.

Citations: 0

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Design and experimental study of electromagnetic ultrasonic single-mode guided wave transducer for small-diameter stainless steel tubes

Authors: Tu, J., Zhan, X., Sun, H., Zhang, X., Song, X.

Citations: 3

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Internal and External Pipe Defect Characterization via High-Frequency Lamb Waves Generated by Unidirectional EMAT

Authors: Zhang, X., Li, B., Zhang, X., Yuan, J., Wu, Q.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland), 23(21)

Bolt Axial Stress Measurement Based on the Dual-Mode Electromagnetic Acoustic Transducer

Authors: Zhang, X., Li, W., Wu, Q., Cai, C., Song, X.

Citations: 2

Year: 2023

Journal: IEEE Sensors Journal, 23(13), pp. 13978–13986

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels

Authors: Tu, J., Yao, N., Ling, Y., Zhang, X., Song, X.

Citations: 0

Year: 2023

Journal: Sensors, 23(6), 3008

Optimized Design of Torsional Guided Wave Magnetostrictive Patch Transducer Based on Reversed Wiedemann Effect

Authors: Li, C., Yang, R., Gu, J., Wang, S., Zhang, X.

Citations: 5

Year: 2023

Journal: Journal of Nondestructive Evaluation, 42(1), 26

Enhancing the Lift-Off Performance of EMATs by Applying an Fe3O4 Coating to a Test Specimen

Authors: Liang, B., Li, Z., Zhai, G., Zhang, X., Dixon, S.

Citations: 5

Year: 2023

Journal: IEEE Transactions on Instrumentation and Measurement, 72, 9502104

 

 

 

Luigi Fortuna | Engineering | Future Frontier Science Award

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Prof. Luigi Fortuna | Engineering | Future Frontier Science Award

IEEE Life Fellow at Università di Catania, Italy

Prof. Luigi Fortuna is a Full Professor of Automatic Control at the University of Catania, Italy, with extensive experience in robust control, nonlinear science, chaos, robotics, and soft-computing strategies for control. He earned his Master’s degree in Electrical Engineering in 1977 and has since contributed significantly to the field with over 700 technical papers, 20 scientific books, and 10 industrial patents. His research has earned him recognition, reflected in an H-index of 56 on SCOPUS. Prof. Fortuna has coordinated and participated in numerous international research projects, including collaborations with institutions like the Joint European Torus (UK) and ENEA (Italy). He has also served in various academic leadership roles, such as the Dean of the Engineering Faculty and Coordinator of the PhD course in Systems Engineering at the University of Catania. A Fellow of IEEE, he is also a prominent figure in international conference organization and scientific journals.

Professional Profile

Education

Prof. Luigi Fortuna earned his education in Electrical Engineering, completing his Master’s degree at the University of Catania, Italy, in 1977. Following this, he pursued advanced studies and research, which led to his professional career in academia and industry. His educational foundation laid the groundwork for his extensive contributions to the fields of automatic control, nonlinear science, chaos theory, robotics, and soft computing for control applications. Throughout his career, Prof. Fortuna has been involved in various international academic and research initiatives, which have helped shape his expertise and knowledge. His academic journey has been marked by a focus on both theoretical and applied aspects of control systems, with a strong emphasis on interdisciplinary research. Prof. Fortuna’s educational background has also led to significant roles in academic leadership, where he has guided and mentored students at both undergraduate and postgraduate levels.

Professional Experience

Prof. Luigi Fortuna has had an illustrious career, primarily in academia and research, with a focus on electrical engineering, control systems, and nonlinear science. He began his academic career as an assistant professor at the University of Catania, Italy, and later became a full professor in the Department of Electrical Engineering. His professional experience spans various research areas, including nonlinear control, robotics, soft computing, and chaos theory, where he has made significant contributions. Prof. Fortuna has held various leadership positions, serving as the head of his department and as a member of numerous academic committees. He has collaborated extensively with international research groups, contributing to the advancement of control theory and its practical applications. Prof. Fortuna has supervised numerous graduate and Ph.D. students, influencing the development of future experts in the field. His professional experience also includes publishing over 200 scientific papers and serving on editorial boards of prestigious journals.

Research Interests

Prof. Luigi Fortuna’s research interests lie primarily in the fields of electrical engineering, control systems, nonlinear dynamics, and artificial intelligence. His work has focused extensively on nonlinear control theory, robotics, and the application of chaos theory in practical systems. He has contributed to the development of methods for controlling nonlinear systems, with applications in various engineering fields, including automation and robotics. Prof. Fortuna has also explored the integration of soft computing techniques, such as fuzzy logic and neural networks, into control systems to enhance system performance and adaptability. Additionally, his research encompasses the use of machine learning and optimization algorithms in the design and control of complex systems. His interdisciplinary approach has led to significant advancements in both theoretical frameworks and real-world applications, bridging the gap between advanced mathematical concepts and practical engineering solutions. Prof. Fortuna’s work continues to influence developments in control theory, robotics, and intelligent systems.

Awards and Honors

Prof. Luigi Fortuna has received numerous awards and honors throughout his distinguished career in recognition of his contributions to electrical engineering, control theory, and artificial intelligence. He has been acknowledged for his pioneering work in nonlinear dynamics, robotics, and advanced control systems. Prof. Fortuna was named a Fellow of the IEEE (Institute of Electrical and Electronics Engineers), a prestigious recognition that highlights his outstanding contributions to the field of control systems and nonlinear dynamics. Additionally, he has been awarded various international research grants, reflecting the global impact of his work. He has also been honored with awards from prominent academic and scientific organizations, further underscoring his leadership in the field of electrical engineering. Throughout his career, Prof. Fortuna has been a regular recipient of best paper awards at major conferences and symposiums. His academic achievements, dedication to research, and innovations have earned him widespread recognition and respect in the global scientific community.

Conclusion

Prof. Luigi Fortuna’s accomplishments make him a strong candidate for the Future Frontier Science Award. His extensive experience in complex systems, robust control, and nonlinear science, combined with his leadership and innovative contributions, aligns with the vision of the award. With an emphasis on expanding cross-disciplinary collaborations, mentoring emerging talent, and enhancing public engagement, Prof. Fortuna could further amplify his remarkable legacy in science.

Publications Top Noted

  • Fractional order systems: modeling and control applications
    • Authors: R Caponetto, G Dongola, L Fortuna, I Petras
    • Year: 2010
    • Citations: 1344
  • Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series
    • Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
    • Year: 2007
    • Citations: 1115
  • Chaotic sequences to improve the performance of evolutionary algorithms
    • Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
    • Year: 2003
    • Citations: 642
  • Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study
    • Authors: COVIDSurg Collaborative
    • Year: 2021
    • Citations: 579
  • Soft sensors for product quality monitoring in debutanizer distillation columns
    • Authors: L Fortuna, S Graziani, MG Xibilia
    • Year: 2005
    • Citations: 401
  • Model order reduction techniques with applications in electrical engineering
    • Authors: L Fortuna, G Nunnari, A Gallo
    • Year: 2012
    • Citations: 321
  • Effects of mobility in a population of prisoner’s dilemma players
    • Authors: S Meloni, A Buscarino, L Fortuna, M Frasca, J Gómez-Gardeñes, V Latora, …
    • Year: 2009
    • Citations: 288
  • A chaotic circuit based on Hewlett-Packard memristor
    • Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
    • Year: 2012
    • Citations: 286
  • Elective cancer surgery in COVID-19–free surgical pathways during the SARS-CoV-2 pandemic: an international, multicenter, comparative cohort study
    • Authors: JC Glasbey, D Nepogodiev, JFF Simoes, O Omar, E Li, ML Venn, PGDME, …
    • Year: 2021
    • Citations: 274
  • Chua’s circuit implementations: yesterday, today and tomorrow
    • Authors: L Fortuna, M Frasca, MG Xibilia
    • Year: 2009
    • Citations: 270
  • Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
    • Authors: J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, …
    • Year: 2021
    • Citations: 265
  • Bifurcation and chaos in noninteger order cellular neural networks
    • Authors: P Arena, R Caponetto, L Fortuna, D Porto
    • Year: 1998
    • Citations: 225
  • Chua’s circuit can be generated by CNN cells
    • Authors: P Arena, S Baglio, L Fortuna, G Manganaro
    • Year: 1995
    • Citations: 224
  • Cellular neural networks: chaos, complexity and VLSI processing
    • Authors: G Manganaro, P Arena, L Fortuna
    • Year: 2012
    • Citations: 211
  • Does chaos work better than noise?
    • Authors: M Bucolo, R Caponetto, L Fortuna, M Frasca, A Rizzo
    • Year: 2002
    • Citations: 206

Mantesh Basappa Khot | Engineering | Best Researcher Award

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Dr. Mantesh Basappa Khot | Engineering | Best Researcher Award

Assistant Professor at PES University, India

Dr. Mantesh Basappa Khot, Assistant Professor in Mechanical Engineering at PES University, is a dedicated researcher with expertise in machine design, composite materials, and sustainable engineering. He holds a Ph.D. from PES University (2024) and a Master’s degree in Machine Design from Visvesvaraya Technological University, where he was awarded a Gold Medal. Dr. Khot’s research contributions include over 14 international publications in areas such as composite material innovation for automotive and aerospace applications, as well as sustainable solutions like recycling textile and plastic waste. He has actively contributed to curriculum development, including his role in establishing the BEST center at PES University. In addition, Dr. Khot has significant experience in teaching a wide range of undergraduate and postgraduate courses, mentoring students, and organizing conferences. His technical skills in NAAC documentation, finite element analysis, and digital design further enhance his academic and professional profile.

Professional Profile

Education

Dr. Mantesh Basappa Khot has a robust educational background in engineering, which forms the foundation of his academic and research career. He earned his Ph.D. in Mechanical Engineering from PES University in 2024, where his research focused on innovative applications of composite materials. Prior to that, he completed his Master’s degree in Machine Design from Visvesvaraya Technological University, graduating with a Gold Medal, a testament to his academic excellence. His undergraduate studies were in Mechanical Engineering, where he acquired a solid technical foundation. Throughout his academic journey, Dr. Khot has engaged in various interdisciplinary projects, enhancing his expertise in machine design and sustainable engineering. His education is complemented by practical experience and a commitment to advancing engineering principles, making him a valuable asset in both teaching and research environments. Dr. Khot’s educational achievements underscore his dedication to fostering innovation and excellence in the field of mechanical engineering.

Professional Experience

Dr. Mantesh Basappa Khot has accumulated diverse professional experience within academia and research, specializing in mechanical engineering and material sciences. Currently, he serves as an Assistant Professor at the Department of Mechanical Engineering, PES University, where he is deeply involved in both teaching and guiding research projects. Dr. Khot has contributed to various interdisciplinary studies, focusing particularly on composite materials and sustainable engineering solutions. He is known for integrating practical, real-world applications into his curriculum, enhancing students’ understanding of machine design and structural analysis. Previously, Dr. Khot held positions in the industry where he gained hands-on experience in mechanical systems and advanced material applications, further enriching his academic insights. His collaborative projects with industry partners have addressed engineering challenges and have led to innovations in material efficiency and machine resilience. Dr. Khot’s professional experience reflects a blend of academic rigor and applied engineering expertise, positioning him as a leader in his field.

Research Interests

Dr. Mantesh Basappa Khot’s research interests focus on mechanical engineering and material science, specifically in the development and optimization of advanced composite materials for structural applications. His work explores the design, analysis, and application of fiber-reinforced composites, with an emphasis on enhancing their strength, durability, and sustainability. Dr. Khot is particularly interested in lightweight materials that retain high-performance characteristics, making them ideal for automotive, aerospace, and energy sectors. He is also dedicated to sustainable engineering practices, researching biodegradable and eco-friendly composites that minimize environmental impact. His studies delve into the material properties at both macro and micro levels, utilizing experimental and computational modeling techniques to better understand how different material compositions affect performance. Through his research, Dr. Khot aims to contribute to innovations in mechanical design and structural integrity, with a long-term goal of creating safer and more sustainable engineering solutions across various industries.

Awards and Honors

Dr. Mantesh Basappa Khot has been honored with several prestigious awards recognizing his contributions to mechanical engineering and materials science. His research innovations in composite materials and sustainable engineering solutions have earned him accolades from leading institutions and industry bodies. Dr. Khot has received awards for excellence in research, including distinctions at international conferences focused on composite materials and structural engineering. His contributions have also been acknowledged through grants and fellowships that support advanced research in materials science, enabling him to further explore innovative applications of lightweight and eco-friendly materials. Dr. Khot’s work has garnered recognition not only for its academic impact but also for its real-world applicability, especially in automotive and aerospace engineering. His commitment to sustainable engineering and groundbreaking contributions in the field have solidified his reputation as a respected and influential researcher, inspiring new advancements in materials science and mechanical engineering.

Conclusion

Dr. Mantesh Basappa Khot is a strong candidate for the Best Researcher Award due to his extensive publication record, innovative research in sustainable materials, and active involvement in academic and administrative roles. With further emphasis on interdisciplinary and industry-based projects, he could increase his impact and contribution to the mechanical engineering field. Dr. Khot’s academic accomplishments, research focus on sustainable materials, and commitment to teaching and mentorship make him a highly deserving nominee for this award.

Publications Top Noted

  • Plastic waste into fuel using pyrolysis process
    • Authors: MB Khot, S Basavarajappa
    • Year: 2017
    • Citations: 7
  • Effect of tool material on thrust force and delamination in the drilling of coconut leaf sheath fibre reinforced polymer composites
    • Authors: MB Khot, MP Kumar
    • Year: 2021
    • Citations: 5
  • Plastic waste into fuel using pyrolysis process
    • Authors: BK Mantesh, S Basavarajappa
    • Year: 2017
    • Citations: 3
  • A review on textile waste production, management and its applications in construction engineering field
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2022
    • Citations: 2
  • Finite element modelling and dynamic characteristic analysis of the human CTL-Spine
    • Authors: S Dayanand, BR Kumar, A Rao, C CV, M B Khot, H Shetty
    • Year: 2020
    • Citations: 2
  • Plastic waste into fuel using pyrolysis process
    • Authors: S Basavarajappa, MB Khot
    • Year: 2017
    • Citations: 2
  • Finite element modelling and simulation of car bonnet’s crashworthiness parameters for pedestrian safety
    • Authors: KS Neeraj, SRS Salanke, SS Tejas, SR Sudhansh, MB Khot
    • Year: 2024
    • Citations: 1
  • A review on fabrication and dynamic characterisation of composite beam structure
    • Authors: J Akshobya, MB Khot
    • Year: 2023
    • Citations: 1
  • A cotton waste reinforced composite for automotive applications: development and thermal characterization
    • Authors: MB Khot, KSSD Sethuram
    • Year: 2024
    • Citations: 0
  • A review on finite element modelling and experimental analysis of crashworthiness design of automotive body
    • Authors: SRS Salanke, S Shantha Raju, T SS, N Kolhapuri Srinivas, MB Khot
    • Year: 2024
    • Citations: 0
  • Finite element analysis & topology optimization of excavator bucket teeth for optimal performance
    • Authors: BAM Mohan, MU Rahaman, R Madhu, MB Khot
    • Year: 2024
    • Citations: 0
  • Recent advancements in 3D printing for gear design and analysis: a comprehensive review
    • Authors: L Pujari, S Manoj, OK Gaddikeri, P Shetty, MB Khot
    • Year: 2024
    • Citations: 0
  • Prediction of elastic properties of cotton waste reinforced epoxy composites for structural applications
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2024
    • Citations: 0
  • Design and Analysis of Multitasking Column Climbing Robot
    • Authors: V Shanura Pattara, V Abhi, R Ravi, PV Ranganatha, M Basappa Khot
    • Year: 2023
    • Citations: 0
  • Experimental and Numerical Investigation of Tensile Strength of Hybrid Flax–Glass Epoxy Reinforced Composite
    • Authors: RR Reddy, MB Khot
    • Year: 2023
    • Citations: 0

Aly Mousaad Aly | Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Aly Mousaad Aly | Engineering | Best Researcher Award

PhD at Louisiana State University, United States

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

jienan Shen | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. jienan Shen | Engineering | Best Researcher Award

Research associate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

Viktoras Dorosevas | Engineering | Best Researcher Award

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Prof. Dr. Viktoras Dorosevas | Engineering | Best Researcher Award

Researcher at Vilnius Gediminas Technical University, Lithuania

Prof. Dr. Viktor Dorosevas is a distinguished Lithuanian engineer and academic with over 40 years of expertise in mechanical and civil engineering. He completed his doctorate in Technology Sciences at Kaunas University of Technology (KTU), where he also achieved habilitation in the dynamics of mechanical systems under impact load. His career spans esteemed roles as Associate Professor and Professor across several departments at KTU and Vilnius Gediminas Technical University, focusing on mechanics, geotechnical engineering, and materials engineering. His research primarily explores dynamic mechanical processes, soil and structural mechanics, and impact load responses—areas critical to structural integrity and diagnostics. Dr. Dorosevas has contributed extensively to the development of analytical and numerical methods for material and system diagnostics, significantly advancing structural mechanics and transportation systems in buildings. Known for his dedication to both teaching and research, he has been a key figure in advancing engineering education and technology in Lithuania.

Professional Profile

Education

Prof. Dr. Viktor Dorosevas has a robust educational foundation in engineering, with a focus on mechanics and structural dynamics. He graduated from Kaunas University of Technology (KTU) in 1980 with a degree in engineering mechanics, marking the beginning of a long academic journey dedicated to advancing engineering sciences. In 1996, he earned his doctorate (Dr. of Technology Sciences) at KTU, with a dissertation on the optimization of dynamic processes in material fluency restoration—an innovative study in structural mechanics. His commitment to academic excellence continued with a habilitation procedure at KTU in 2007, where he conducted pioneering research on the dynamics of mechanical systems under impact load. This advanced qualification positioned him as an expert in impact load responses and dynamic stability, vital to structural and civil engineering applications. His educational background has laid a strong foundation for his ongoing contributions to engineering research and academia.

Professional Experience

Prof. Dr. Viktor Dorosevas boasts an extensive professional career in academia and research, primarily within Lithuanian institutions. He began his teaching journey at Kaunas University of Technology (KTU) as a Lector in the Department of Theoretical Mechanics from 2001 to 2003, quickly advancing to Associate Professor by 2003. He served as a Professor in the Department of Geotechnical Engineering from 2008 to 2013 and then transitioned to the Department of Building Structures at KTU until 2022. In 2018, he also took on a professorship in the Department of Mechanical and Materials Engineering at Vilnius Gediminas Technical University, demonstrating his versatility across multiple engineering disciplines. Currently, he is a Professor in the Department of Civil Engineering at Klaipeda State University of Applied Sciences. Throughout his career, Dr. Dorosevas has contributed significantly to the fields of mechanics and engineering education, shaping future engineers through his teaching and research endeavors.

Research Interest

Prof. Dr. Viktor Dorosevas specializes in several critical areas of mechanical and civil engineering, with a focus on the dynamics of mechanical systems and their responses to impact loads. His research interests encompass theoretical mechanics, analytical and numerical methods, and mathematical modeling, which are essential for understanding complex engineering challenges. He is particularly engaged in the mechanics of loose materials and soil mechanics, exploring how materials behave under various conditions and loads. Additionally, Dr. Dorosevas investigates the diagnostics and monitoring of structures, emphasizing the identification of material states and the analysis of damage to structures and soil. His work on transportation systems within buildings highlights the intersection of mechanics and civil engineering, contributing to the optimization of structural designs. Through his research, Prof. Dorosevas aims to enhance the safety and reliability of engineering systems, making significant contributions to both academia and practical applications in the field.

Award and Honor

Prof. Dr. Viktor Dorosevas has received numerous awards and honors throughout his distinguished career, recognizing his significant contributions to the fields of mechanical and civil engineering. He was awarded the title of Associate Professor at Kaunas University of Technology (KTU) in 2002, followed by a promotion to Professor in 2008, reflecting his academic excellence and expertise. His research achievements have earned him respect in the academic community, leading to invitations for collaboration and participation in international conferences. Dr. Dorosevas has also been recognized for his pedagogical contributions, mentoring students and fostering their development in engineering disciplines. Additionally, he has been involved in various professional organizations, enhancing the visibility and impact of engineering research in Lithuania and beyond. His commitment to advancing engineering education and research continues to influence future generations, solidifying his legacy in the academic and professional realms.

Conclusion

Dr. Viktor Dorosevas is a well-qualified candidate for the Best Researcher Award, particularly due to his deep expertise in engineering mechanics and his substantial contribution to the understanding and optimization of dynamic processes in mechanical and civil engineering. While he could further enhance his candidacy by expanding his international collaboration and publication efforts, his proven expertise and long-standing commitment to advancing engineering dynamics position him as a deserving candidate for the award.

Publications top noted

  • Title: A Nonlinear Damper with Dynamic Load and an Elastic Slit Membrane: Modeling and Interaction Analysis
    Authors: Sadeghian, M., Pilkauskas, K., Palevicius, P., Dorosevas, V., Palevicius, A.
    Year: 2024
    Citations: 0
  • Title: Assessing Reliability of Continuous Geotechnical Monitoring Measurements
    Authors: Jankauskiene, D., Tautaviciene, B., Dorosevas, V., Lousada, S.A.N.
    Year: 2024
    Citations: 0
  • Title: A Comparative Assessment of the Suitability of Phosphogypsum from Different Origins to be Utilised as the Binding Material of Construction Products
    Authors: Fornés, I.V., Vaičiukynienė, D., Nizevičienė, D., Dorosevas, V., Michalik, B.
    Year: 2021
    Citations: 22
  • Title: The Improvement of the Water-Resistance of the Phosphogypsum by Adding Waste Metallurgical Sludge
    Authors: Fornés, I.V., Vaičiukynienė, D., Nizevičienė, D., Dorosevas, V.
    Year: 2021
    Citations: 20
  • Title: Monitoring and Analysis of Seaport Piers Structural Elements Displacements
    Authors: Jankauskiene, D., Dorosevas, V., Pukite, V.
    Year: 2021
    Citations: 2
  • Title: The Investigation of Phosphogypsum Specimens Processed by Press-Forming Method
    Authors: Villalón Fornés, I., Dorosevas, V., Vaičiukynienė, D., Nizevičienė, D.
    Year: 2021
    Citations: 10
  • Title: A Method to Prepare a High-Strength Building Material from Press-Formed Phosphogypsum Purified with Waste Zeolite
    Authors: Villalón Fornés, I., Vaičiukynienė, D., Nizevičienė, D., Dorosevas, V., Dvořák, K.
    Year: 2021
    Citations: 26
  • Title: The Influence of Phosphogypsum Microstructure on the Main Properties of Press-Formed Samples
    Authors: Fornés, I.V., Vaičiukynienė, D., Dorosevas, V., Nizevičienė, D.
    Year: 2021
    Citations: 0
  • Title: Clayey Soil Strength Improvement by Using Alkali Activated Slag Reinforcing
    Authors: Žurinskas, D., Vaičiukynienė, D., Stelmokaitis, G., Dorosevas, V.
    Year: 2020
    Citations: 12
  • Title: Analytical Method for Analysis of Interaction of Retaining Wall Backfilled with Soil Under Explosion Loading
    Authors: Dorosevas, V.
    Year: 2017
    Citations: 0

Arafa Mansour | Engineering | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Arafa Mansour | Engineering | Best Researcher Award

Associate Professor at Beni-Suef University, Egypt

Assoc. Prof. Dr. Arafa Sayed Mohamed Mansour is an accomplished academic in the field of Electrical Engineering, currently serving as an Associate Professor at Beni-Suef University, Egypt. He holds a Ph.D. in Electrical Engineering, with extensive teaching experience spanning over 15 years. Dr. Mansour’s research interests focus on power electronics, renewable energy, and control of electrical machines, resulting in 36 published papers in various journals and conferences. He has contributed significantly to academic mentorship, supervising numerous graduate theses and serving as an external examiner. His participation in the Fulbright Junior Faculty Development Program in the U.S. highlights his commitment to professional development and international collaboration. As the Quality Coordinator for his department, he also plays a vital role in enhancing educational standards. Dr. Mansour’s diverse expertise and contributions position him as a leading figure in electrical engineering education and research.

Professional Profile

Education

Assoc. Prof. Dr. Arafa Sayed Mohamed Mansour has an extensive educational background in Electrical Engineering. He earned his Bachelor of Science degree with honors from Menoufia University in 2005, focusing on “Speed Control of an AC Chopper Fed an AC Series Motor.” He then pursued his Master of Science degree at the same institution, awarded in 2010, with a thesis titled “Design and Analysis of Robotic System Performance.” Dr. Mansour completed his Ph.D. in Electrical Engineering in 2014, presenting his research on “Fault Diagnosis of a Three-Phase Induction Motor Drive System.” His academic journey includes various positions at Menoufia University, where he progressed from Teaching Assistant to Associate Professor. In addition to his formal education, he has completed numerous training courses and workshops, enhancing his expertise in control systems, automation, and power electronics, further solidifying his knowledge and skills in the field of electrical power engineering.

Professional Experience

Assoc. Prof. Dr. Arafa Sayed Mohamed Mansour boasts over 15 years of professional experience in Electrical Engineering. Currently, he serves as an Associate Professor at Beni-Suef University, where he also acts as the Quality Coordinator for the Electrical Engineering Department. Prior to this, he held similar roles at Menoufia University, advancing from Assistant Lecturer to Associate Professor. His teaching experience encompasses both undergraduate and postgraduate courses in control systems and electrical drives. Dr. Mansour has supervised numerous theses, including one Ph.D. and 13 Master’s projects, demonstrating his commitment to academic mentorship. Additionally, he has served as an external examiner for multiple theses. His research contributions include 36 publications in national and international journals, focusing on power electronics and renewable energy. Furthermore, Dr. Mansour has participated in significant professional development programs, including the Fulbright Junior Faculty Development Program in the U.S., enhancing his skills and fostering international collaboration.

Research Interest

Assoc. Prof. Dr. Arafa Sayed Mohamed Mansour’s research interests primarily lie in the fields of power electronics, renewable energy, and control of electrical machines and drives. He is dedicated to advancing technologies that enhance the efficiency and performance of electrical systems. His work includes the design and analysis of power electronic converters, particularly in the context of renewable energy applications, such as photovoltaic systems. Dr. Mansour is also interested in fault diagnosis and control strategies for electrical machines, which are crucial for ensuring reliable operation in various industrial applications. His research output includes 36 published papers in both national and international journals and conferences, highlighting his contributions to the field. Through his research, Dr. Mansour aims to address contemporary challenges in energy systems, promoting sustainable practices and innovative solutions in electrical engineering, thereby contributing to the broader goals of environmental conservation and energy efficiency.

Award and Honor

Assoc. Prof. Dr. Arafa Sayed Mohamed Mansour has received several accolades and honors throughout his academic career, underscoring his contributions to the field of Electrical Engineering. Notably, he participated in the prestigious Fulbright Junior Faculty Development Program in 2016, held at Texas A&M University, which focused on renewable energy and engineering. This opportunity not only enhanced his expertise but also fostered international collaboration. In recognition of his dedication to quality education, he has taken on significant roles such as the Quality Coordinator for the Electrical Engineering Department at Beni-Suef University. Additionally, Dr. Mansour has been instrumental in supervising numerous successful theses, demonstrating his commitment to academic mentorship and student development. His extensive publication record in respected journals and conferences highlights his impact on the field, further solidifying his reputation as a leading researcher in power electronics and renewable energy systems. These achievements reflect his ongoing commitment to advancing knowledge and innovation in engineering.

Conclusion

Arafa Sayed Mohamed Mansour is a strong candidate for the Best Researcher Award due to his significant contributions to the field of electrical engineering, particularly in power electronics and renewable energy. His extensive teaching experience, commitment to mentorship, and diverse research output position him as an influential figure in academia. While there are areas for improvement, particularly in expanding research collaborations and community engagement, his solid foundation and ongoing contributions to the field make him a deserving nominee for this prestigious recognition.

Publications top noted

 

  • Title: Wind Energy Conversion System Topologies and Converters: Comparative Review
    Authors: K Basem Tawfiq Albassioni, A Mansour, H Ramadan, M Becherif, …
    Year: 2019
    Citations: 103
  • Title: Comparative study of sensorless control methods of PMSM drives
    Authors: AS Mohamed, MS Zaky, AZ El Din, HA Yasin
    Year: 2011
    Citations: 39
  • Title: A new extended single-switch high gain DC–DC boost converter for renewable energy applications
    Authors: AS Mansour, MS Zaky
    Year: 2023
    Citations: 24
  • Title: High gain DC/DC converter with continuous input current for renewable energy applications
    Authors: AS Mansour, ALHH Amer, EE El-Kholy, MS Zaky
    Year: 2022
    Citations: 21
  • Title: Implementation of matrix converter in wind energy conversion system with modified control techniques
    Authors: KB Tawfiq, AS Mansour, MN Ibrahim, E El-Kholy, P Sergeant
    Year: 2019
    Citations: 12
  • Title: Open-circuit fault diagnosis of three-phase induction motor drive systems
    Authors: AS Mohamed, HZ Azazy, AS Zein El Din
    Year: 2013
    Citations: 12
  • Title: A novel single-stage single-phase buck–boost inverter
    Authors: ME Ibrahim, AS Mansour, AM Abd-Elhady
    Year: 2017
    Citations: 10
  • Title: Ultra-modified control algorithms for matrix converter in wind energy system
    Authors: KB Tawfiq, AM Mansour, EE El-Kholy
    Year: 2018
    Citations: 6
  • Title: Adaptive PI speed controller for a universal motor
    Authors: ASMSS Dina A. Elkady, Haitham Z. Azazy
    Year: 2015
    Citations: 6
  • Title: Design, implementation and performance analysis of shunt active filter based on a matrix converter
    Authors: KB Tawfiq, AS Mansour, MN Ibrahim, EE El-Kholy, P Sergeant
    Year: 2021
    Citations: 5
  • Title: Performance of a single-stage buck-boost inverter fed from a photovoltaic source under different meteorological conditions
    Authors: AS Mansour, OD SM
    Year: 2019
    Citations: 5
  • Title: Virtual inertia impact on the performance of photovoltaic system
    Authors: ASM Abdallah Nazih, Dina S. M. Osheba
    Year: 2019
    Citations: 5
  • Title: Performance enhancement of PV system using VSG with ANFIS controller
    Authors: DSM Osheba, SM Osheba, A Nazih, AS Mansour
    Year: 2023
    Citations: 4
  • Title: Mathematical Design and Analysis of Three-Phase Inverters: Different Wide Bandgap Semiconductor Technologies and DC-Link Capacitor Selection
    Authors: KB Tawfiq, AS Mansour, P Sergeant
    Year: 2023
    Citations: 4
  • Title: Three-phase induction motor drive with reactive power injection to supply
    Authors: AS Mansour
    Year: 2017
    Citations: 4

Yunqiang Wu | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Yunqiang Wu | Engineering | Best Researcher Award

Student at Harbin Institute of Technology, China

Dr. Yunqiang Wu is a dedicated researcher in Civil Engineering, currently pursuing his PhD at Harbin Institute of Technology while also serving as a visiting PhD student at the National University of Singapore. His research focuses on structural system innovation and wind resistance design, particularly for large-span photovoltaic modules. Dr. Wu has published several articles in high-impact journals and holds multiple patents related to flexible photovoltaic support systems. His academic achievements are complemented by numerous awards, including the National Scholarship and recognition as an outstanding student leader. He has participated in significant national research projects addressing sustainable housing and structural design challenges. Additionally, Dr. Wu’s practical experience includes internships in project management and structural design, enhancing his research with real-world applications. With a strong foundation in innovative engineering solutions, he is poised to make substantial contributions to the field of civil engineering and renewable energy.

Professional Profile

Education

Dr. Yunqiang Wu’s educational journey reflects a strong foundation in Civil Engineering. He began his studies at Harbin University of Science and Technology (HUST), where he earned his Bachelor’s degree in Civil Engineering in July 2019. He continued his academic pursuit at Harbin Institute of Technology (HIT), obtaining a Master’s degree in Civil Engineering in June 2021, focusing on the thermal and mechanical properties of straw concrete-light steel keel wall boards. Currently, he is a PhD candidate at HIT, where his research centers on structural system innovation and wind resistance design for large-span flexible support photovoltaic modules, under the supervision of esteemed professors. In September 2024, Dr. Wu also commenced a visiting PhD program at the National University of Singapore, broadening his academic exposure and enhancing his research capabilities in an internationally recognized institution. This robust educational background positions him well for impactful contributions to the field of Civil Engineering.

Professional Experience

Dr. Yunqiang Wu possesses a diverse professional experience that complements his academic achievements in Civil Engineering. He has participated in several significant research projects, including a national key R&D project focused on maintenance systems and passive house technologies in rural prefabricated housing, and two National Natural Science Foundation projects examining wind-induced fluid-structure coupling and green demolition methods for large-span spatial structures. Dr. Wu has also contributed to engineering design and research, notably in the Dalian Barracuda Bay professional football stadium project, featuring a 500-meter span cable net structure, and the Bayuquan Yard coal yard project, which involves a complex cable truss structure. Additionally, he gained valuable practical experience through internships, working in project management at Country Garden Group and structural design at the Architecture Design and Research Institute of Harbin Institute of Technology. These experiences have enhanced his ability to apply theoretical knowledge to real-world engineering challenges.

Research Interest

Dr. Yunqiang Wu’s research interests lie at the intersection of Civil Engineering and renewable energy systems, focusing on innovative structural designs and wind resistance mechanisms. His primary area of investigation is the development of large-span flexible support systems for photovoltaic modules, aiming to enhance their structural integrity and performance in various environmental conditions. Dr. Wu’s work involves exploring the mechanical properties and thermal dynamics of composite materials, such as straw concrete and light steel, to improve construction efficiency and sustainability. He is also deeply engaged in studying fluid-structure interactions, particularly regarding wind-induced responses in structures, which is critical for the design of resilient infrastructure. Additionally, his involvement in national research projects highlights his commitment to advancing sustainable housing technologies and the application of green demolition practices. Through his research, Dr. Wu aims to contribute to the advancement of sustainable engineering practices that align with contemporary environmental challenges.

Award and Honor

Dr. Yunqiang Wu has received numerous awards and honors that reflect his academic excellence and commitment to research in Civil Engineering. Notably, he was awarded the National Scholarship in China for his outstanding academic performance in 2018 and has twice received the National Encouragement Scholarship, recognizing his dedication and motivation in his studies. His consistent excellence earned him the title of Merit Student in Heilongjiang Province on two occasions, as well as the designation of Outstanding Student at Harbin Institute of Technology in 2023. Furthermore, Dr. Wu has been recognized as an Excellent Student Leader at HIT twice, showcasing his leadership skills and contributions to campus life. His academic journey includes multiple first-class scholarships at Harbin University of Science and Technology, where he was honored six times between 2015 and 2019. These accolades highlight Dr. Wu’s commitment to excellence and his significant contributions to both his academic institution and the field of engineering.

Conclusion

Yunqiang Wu stands out as a promising candidate for the Best Researcher Award due to his solid academic background, notable research contributions, and a commitment to innovation in civil engineering. By addressing the suggested areas for improvement, he can further strengthen his profile and enhance his contributions to the field. His ongoing work in sustainable engineering solutions positions him well for future success and recognition in the research community.

Publications top noted

  • Title: Wind-induced response and control criterion of the double-layer cable support photovoltaic module system
    Authors: Yunqiang Wu; Yue Wu; Ying Sun; Xiaoying Sun
    Year: 2024
    Citation: Wu, Y., Wu, Y., Sun, Y., & Sun, X. (2024). Wind-induced response and control criterion of the double-layer cable support photovoltaic module system. Journal of Wind Engineering and Industrial Aerodynamics, doi:10.1016/j.jweia.2024.105928
  • Title: Research on a New Plant Fiber Concrete-Light Steel Keel Wall Panel
    Authors: Yuqi Wu; Yunqiang Wu; Yue Wu
    Year: 2023
    Citation: Wu, Y., Wu, Y., & Wu, Y. (2023). Research on a New Plant Fiber Concrete-Light Steel Keel Wall Panel. Sustainability, 15(10), 8109. doi:10.3390/su15108109
  • Title: Study on mechanical properties of a 35-meter-span three-dimensional cable-truss flexible photovoltaic support system
    Authors: Yunqiang Wu; Yue Wu; Xiaoying Sun
    Year: 2024
    Citation: Wu, Y. (2024). Study on mechanical properties of a 35-meter-span three-dimensional cable-truss flexible photovoltaic support system. Conference paper.