Ping Liu | Materials Science | Best Researcher Award

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Mr. Ping Liu | Materials Science | Best Researcher Award

Ping Liu at Chongqing Jiaotong University, China

Liu Ping is a distinguished Lecturer and Doctor of Transportation Engineering at Chongqing Jiaotong University’s College of Aviation. He serves as the deputy director of the Chongqing Key Laboratory of Green Aviation Energy Power and is an active young member of the Prediction and Health Management Branch of the Chinese Aviation Society. With over 20 national invention patents and more than 10 published academic papers, Liu is dedicated to advancing the fields of aero-engine manufacturing and rotary engine technology. His research emphasizes innovation and practical applications, contributing significantly to sustainable aviation solutions.

Profile:

Scopus Profile

Strengths for the Award:

  1. Extensive Research Output: Liu Ping has published over 10 academic papers and holds more than 20 national invention patents. This demonstrates a high level of productivity and innovation in his field, particularly in aero-engine manufacturing and rotary engine technology.
  2. Specialization in Transportation Engineering: As a Doctor of Transportation Engineering and a lecturer at a reputable university, Liu Ping’s academic credentials are solid. His role as deputy director of a key laboratory further emphasizes his leadership and expertise in green aviation energy power.
  3. Interdisciplinary Collaboration: Liu’s involvement in various projects, including dynamic service composition in manufacturing and health management in aviation, indicates an ability to collaborate across disciplines, which is essential in today’s research environment.
  4. Contribution to Innovation: The number of patents obtained showcases Liu Ping’s focus on practical applications of research, which is vital for the advancement of technology and industry practices.
  5. Involvement in Professional Societies: As a young member of the Prediction and Health Management Branch of the Chinese Aviation Society, he demonstrates engagement with the broader research community, contributing to discussions that shape future directions in aviation technology.

Areas for Improvement:

  1. Broader Research Impact: While Liu Ping has a significant number of patents and papers, increasing the visibility and impact of his research through more high-profile publications or collaborations with industry leaders could enhance his recognition in the field.
  2. Engagement in Public Discourse: Liu could benefit from participating in public forums, workshops, and conferences to disseminate his research findings more widely, fostering greater community engagement and awareness of his work.
  3. Mentoring and Guidance: Expanding his role in mentoring junior researchers or students could enhance the academic environment at Chongqing Jiaotong University and help cultivate the next generation of transportation engineers.
  4. Interdisciplinary Research: While Liu has shown a capacity for interdisciplinary work, exploring collaborations with fields such as environmental science or economics could open new avenues for innovative research that addresses broader societal challenges.

Education:

Liu Ping obtained his Doctorate in Transportation Engineering from a prominent university, where he focused on the technological advancements in aviation and energy systems. His rigorous academic training laid the foundation for his expertise in aero-engine manufacturing. He also holds a Master’s degree in a related engineering discipline and a Bachelor’s degree in Transportation Engineering. Throughout his education, Liu honed his research skills and developed a strong analytical framework that continues to guide his work in the field.

Experience:

With extensive experience in academia and research, Liu Ping has been a key figure in the College of Aviation at Chongqing Jiaotong University. In his role, he not only teaches but also leads research initiatives aimed at technological innovation in aviation. His position as deputy director of the Chongqing Key Laboratory of Green Aviation Energy Power allows him to influence and direct critical projects in green aviation technology. Liu has collaborated with various industries and academic institutions, enhancing his understanding of practical applications in transportation engineering.

Research Focus:

Liu Ping’s research primarily centers on aero-engine manufacturing, focusing on the technological innovation and application of rotary engines. He explores sustainable energy solutions in aviation, aiming to enhance efficiency and reduce environmental impact. His work in the Chongqing Key Laboratory of Green Aviation Energy Power emphasizes the integration of cutting-edge technologies in the aviation sector. Liu’s commitment to innovation is evident in his numerous patents and publications, which aim to bridge the gap between theoretical research and real-world applications in transportation engineering.

Publication Top Notes:

  • A new car-following model with consideration of anticipation driving behavior
  • Fast threshold selection for grayscale images based on two-dimensional fuzzy renyi’s entropy and quantum genetic algorithm
  • A self-adaptive dynamic service composition and optimization framework for manufacturing resources
  • Two-step and likelihood methods for HIV viral dynamic models with covariate measurement errors and missing data
  • Analysis of longitudinal and survival data: Joint modeling, inference methods, and issues
  • An unexpected triammine(oxalato)platinum(II) complex obtained from the aqueous solution of tetraammineplatinum(II) oxalate
  • Study of monostatic and bistatic polarimetric scattering from the two-dimensional Gauss rough surface characterized by textures
  • Image quality evaluation based on contrast sensitivity function
  • Ultrasonic micro-flow measurement based on improved phase-difference method
  • The research on the new ultra-precision polishing instrument of the internal surface in the elbow

Conclusion:

Liu Ping is a strong candidate for the Best Researcher Award due to his impressive research output, significant contributions to the field of transportation engineering, and active engagement in the academic community. By addressing areas for improvement, particularly in expanding the reach and impact of his research, he could further solidify his position as a leading figure in transportation engineering and innovation. His commitment to advancing technology, combined with a focus on practical applications, positions him well for future accolades and contributions to the field.

Florindo Gaspar | Civil Engineering | Best Researcher Award

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Mr. Florindo Gaspar | Civil Engineering | Best Researcher Award

Professor, Polytechnic Institute of Leiria, Portugal

🌍 Florindo Gaspar is a Professor at the Civil Engineering Department, School of Technology and Management (Polytechnic Institute of Leiria – IPLeiria). With a strong academic and professional background, he is also a researcher at the Centre for Rapid and Sustainable Product Development (CDRsp). His work is dedicated to wood and masonry structures, as well as innovative building processes, making substantial contributions to the field of Civil Engineering.

Publication Profile

Strengths for the Award:

Florindo Gaspar is highly suitable for the Research for Best Researcher Award due to several key strengths:

  • Diverse Research Portfolio: His work spans various areas including sustainable construction materials, rehabilitation of wood and masonry structures, and 3D printing technologies. This demonstrates versatility and relevance to modern civil engineering challenges.
  • Extensive Publication Record: With over 122 works, including journal articles and patents, his research impact is broad, covering material science, sustainable construction, and additive manufacturing. Recent publications in prestigious journals like Construction and Building Materials and Sustainability reinforce his scientific authority.
  • Research Leadership: He has been involved in various large-scale, international projects, such as Forest for the Future and CircularSeas, showcasing his capability to lead and contribute to high-impact research initiatives.
  • Innovative Contributions: His research in developing sustainable materials (e.g., thermal insulation from natural fibers and geopolymer mortars) directly contributes to eco-friendly construction practices, which are critical in today’s environmental context.
  • Active Collaborations and Funding: He has secured significant research funding from national and international agencies, reflecting his ability to attract resources to advance his research.

Areas for Improvement:

  • International Visibility: Although he has been involved in notable European projects, further collaborations or leadership roles in international, cross-disciplinary consortia could enhance his global presence.
  • Outreach and Industry Applications: While his consultancy work and practical projects show applied research, increasing engagement in public dissemination (through workshops, conferences, or industry white papers) would further highlight the societal impact of his work.

 

Education

🎓 Florindo holds a Ph.D. in Civil Engineering (2010) and a MSc in Construction (2006) from the Instituto Superior Técnico at the University of Lisbon. He completed his Graduation in Civil Engineering in 2000 from the University of Coimbra, and earlier obtained a Bachelor’s degree from the Polytechnic Institute of Lisbon in 1996.

Experience

🏗️ Florindo has been a Professor at IPLeiria since 2001, teaching subjects related to wood and masonry structures, building materials, and construction processes. He has also held roles as a Technical Manager at Gasmenfil, Project Designer, and Construction Supervisor in various firms, accumulating a wealth of hands-on industry experience.

Research Focus

🔬 His research focuses on the monitoring, rehabilitation, and conservation of wood and masonry structures, with a keen interest in sustainability and innovative construction techniques. He has supervised multiple MSc projects in these areas, contributing to practical advancements in civil engineering.

Awards and Honours

🏆 Florindo has been involved in numerous research and consultancy projects, securing funding from prestigious organizations like the European Social Fund and Agência Nacional de Inovação SA. His commitment to advancing civil engineering is recognized in the various contracts and projects he’s participated in.

Publication Top Notes

Rheology Assessment of Mortar Materials for Additive Manufacturing – Published in Current Materials Science, 2024. DOI: 10.2174/2666145417666230801093723

Thermal Insulation Materials Based on Eucalyptus Bark Fibres – Published in Construction and Building Materials, 2024. DOI: 10.1016/j.conbuildmat.2024.138559

Optimization of Formulation Ratios of Geopolymer Mortar Based on Metakaolin and Biomass Fly Ash – Published in Construction and Building Materials, 2024. DOI: 10.1016/j.conbuildmat.2023.134846

Recycling Ophthalmic Lens Wastewater in a Circular Economy Context: A Case Study with Microalgae Integration – Published in Materials, 2023. DOI: 10.3390/ma17010075

Comprehensive Design Methodology for 3D Printing Mortars – Published in Construction and Building Materials, 2023. DOI: 10.1016/j.conbuildmat.2023.132804

Conclusion:

Florindo Gaspar’s robust academic and research profile, combined with his contributions to sustainable construction and innovation in civil engineering, makes him a strong contender for the Best Researcher Award. Expanding his global outreach and continuing his innovative work in sustainable materials will only enhance his standing in the research community.

Nimrah Saeed – Environmental Sustainability – Best Researcher Award

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Nimrah Saeed - Environmental Sustainability - Best Researcher Award

Zhejiang University - China

AUTHOR PROFILE

SCOPUS

PROFESSIONAL SUMMARY 🧩

Nimrah Saeed is a distinguished researcher and engineer specializing in innovative energy systems and advanced power technologies. Her expertise spans from blockchain-enabled microgrid management to novel converter topologies, showcasing her commitment to advancing sustainable and efficient energy solutions.

PAPER REVIEWER AT JOURNAL OF POWER AND ENERGY ENGINEERING 📝

Since 2020, Nimrah has contributed her expertise as a Paper Reviewer for the Journal of Power and Energy Engineering, Scientific Research Publishing, China. In this role, she evaluates research manuscripts, ensuring the quality and integrity of published studies within the field of power and energy engineering.

PAPER REVIEWER AT AMERICAN JOURNAL OF ELECTRIC POWER AND ENERGY SYSTEMS 🔍

Nimrah has also served as a Paper Reviewer for the American Journal of Electric Power and Energy Systems, Science Publishing Group, New York, USA, since 2018. Her critical evaluation of research papers helps maintain high standards and promotes advancements in electric power and energy systems.

DOCTORATE RESEARCH ON SMART MICROGRID ENERGY MANAGEMENT 💡

Nimrah's PhD research focuses on the development of a Blockchain-enabled Smart Microgrid Energy Management and Trading System. This innovative framework integrates RSA-based blockchain technology for secure transactions and employs an AI-based fuzzy logic controller for optimized energy trading and management. The system’s advanced features include smart contracts for automating trading processes and carbon credit trading to promote sustainability.

POSTGRADUATE RESEARCH ON ISOLATED DC-DC CONVERTERS 🔋

During her postgraduate studies, Nimrah investigated impedance source isolated DC-DC converters for renewable generation systems. She proposed novel topologies such as the Cascaded Z-source Isolated DC-DC Converter (CZIDC) and the Quasi Z-source Multilevel DC-DC step-up isolated Converter (ML-qZDC). Her research, verified through SIMULINK MATLAB, highlighted these converters’ efficiency and versatility in energy applications.

UNDERGRADUATE RESEARCH ON MULTILEVEL CACHE DESIGN 🖥️

In her undergraduate research, Nimrah utilized design space exploration (DSE) techniques to evaluate multilevel cache design alternatives for multi-core systems. She employed the MARSSx86 simulation tool to achieve high-performance simulations and detailed cache modeling, contributing to advancements in multi-core architecture and system simulation.

ENGINEERING EXPERIENCE AT HEAVY INDUSTRIES TAXILA ⚙️

In July 2011, Nimrah worked as an Electrical Engineer at Heavy Industries Taxila (HIT) in Pakistan. Her role involved hands-on engineering tasks, providing her with valuable experience in industrial applications and practical engineering solutions.

NOTABLE PUBLICATION

Optimal State-of-Charge Management for Electric Vehicle Batteries Using Eagle Particle Swarm Optimization-Based Hybrid Deep Reinforcement Learning
Authors: M.Z. Afzal, F. Wen, M. Aurangzeb, N. Saeed
Year: 2023
Conference: 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Design of Adaptive Training Control in Dispatcher Training Simulators
Authors: X. Lai, H. Chen, A. Dong, N. Saeed, Z. Han
Year: 2023
Conference: Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

Suranjan Goswami – Transportation – Best Researcher Award

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Suranjan Goswami - Transportation - Best Researcher Award

Indian Institute of Information Technology - India

AUTHOR PROFILE

SCOPUS

PROFESSIONAL SUMMARY 🧠

Suranjan Goswami is a dedicated AI and Computer Vision Engineer known for his expertise in developing and deploying advanced AI and machine learning models. With a strong background in Python, feature engineering, and data analysis, Suranjan focuses on enhancing project performance and efficiency through innovative AI solutions.

CURRENT POSITION AT OLA ELECTRIC 🚗

As a Senior Research Engineer at Ola Electric since November 2023, Suranjan is pivotal in developing a vision pipeline for automating mechanical tasks at the Ola Future Factory. His work includes creating an AI-based path planning system for optimal storage and route planning in dark warehouses, implementing camera-based pick and place systems using robots, and enhancing 3D point cloud registration and stitching for precise vehicle frame alignment.

PREVIOUS ROLE AT TRIMBLE 🌐

From September 2022 to September 2023, Suranjan served as a Computer Vision Engineer at Trimble. There, he developed and deployed sophisticated AI models that significantly improved performance and efficiency. His role involved spearheading projects in multi-spectral odometry and point cloud registration, demonstrating his proficiency in deep learning technologies like GAN and ResNet for image analysis.

RESEARCH EXPERIENCE AT DRDO 🔬

Between January 2014 and October 2015, Suranjan worked as a Junior Research Fellow at the Defence Research and Development Organization (DRDO). His responsibilities included developing and deploying performance evaluation metrics for the DRONA network, collaborating with statisticians and psychologists on evaluation scales, and managing R&D tasks at the Defence Institute of Psychological Research (DIPR) in Delhi.

EXPERTISE IN COMPUTER VISION AND AI 🖼️

Suranjan's expertise spans across computer vision, AI, and machine learning, with a strong focus on generative AI and multi-spectral imaging. He has a deep understanding of point cloud registration and statistical analysis, and his proficiency in Python has been crucial for data ETL and analysis, contributing to the successful execution of various high-impact projects.

DEEP LEARNING AND DATA ANALYSIS 📊

Utilizing deep learning technologies such as GAN and ResNet, Suranjan has driven advancements in image analysis. His skills in data analysis and statistical methods have enabled him to deliver valuable insights and recommendations through collaborative efforts with cross-functional teams, further enhancing the efficacy of AI models.

ONLINE PRESENCE AND PROFESSIONAL NETWORK 🌐

Suranjan maintains a strong professional presence through various online platforms, including LinkedIn, Google Scholar, IEEE DataPort, and GitHub. These profiles showcase his extensive contributions to the field, including published research and project portfolios, reinforcing his role as a leading expert in AI and computer vision.

NOTABLE PUBLICATION

A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
Authors: Goswami, S., Singh, S.K., Chaudhuri, B.B.
Year: 2023
Conference: Communications in Computer and Information Science

A Simple Mutual Information Based Registration Method for Thermal-Optical Image Pairs Applied on a Novel Dataset
Authors: Goswami, S., Singh, S.K.
Year: 2022
Conference: 2022 3rd International Conference for Emerging Technology, INCET 2022

A Simple Deep Learning Based Image Illumination Correction Method for Paintings
Authors: Goswami, S., Singh, S.K.
Year: 2020
Journal: Pattern Recognition Letters

Fang Yang – Transportation Engineering – Best Researcher Award

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Fang Yang - Transportation Engineering - Best Researcher Award

Kunming University of Science and Technology - China

AUTHOR PROFILE

SCOPUS

EXPERT IN ELECTRIC VEHICLE CHARGING SAFETY

Fang Yang is a leading researcher in the field of electric vehicle technology, with a focus on enhancing the safety and efficiency of electric bike charging systems. His work explores innovative methods for detecting charging anomalies and promoting safe charging practices through advanced data analysis and machine learning techniques.

PROLIFIC AUTHOR IN ENGINEERING AND TRANSPORTATION

Fang has contributed significantly to academic literature with several high-impact publications. Notably, his paper on electric bike charging anomaly detection was published in Engineering Applications of Artificial Intelligence, highlighting his expertise in big data applications for transportation systems.

MAJOR PROJECT CONTRIBUTOR

Fang has played a pivotal role in various major projects, including evaluating traffic impacts and organizing traffic during the construction of Guiyang Rail Transit Line S2. His contributions extend to optimizing safety operations for new energy vehicle charging piles and researching big data public services for Kunming mobile signaling.

ADVANCING MACHINE LEARNING IN TRANSPORTATION

His research also includes leveraging machine learning to enhance the safety of electric bicycle charging systems. His work in this area has been featured in iScience, reflecting his commitment to applying cutting-edge technology to real-world transportation challenges.

RESEARCH IN URBAN RAIL TRANSIT DEMANDS

Fang's research extends to the predictability of passenger demands in urban rail transit. His study, published in Transportation, delves into short-term predictions for passenger origins and destinations, showcasing his expertise in optimizing urban transit systems.

FOCUS ON DATA-DRIVEN FORECASTING

His paper on battery swapping demands for electric bicycles, published in the Journal of Transportation Systems Engineering and Information Technology, underscores his proficiency in data-driven forecasting and its applications in improving transportation infrastructure.

DIVERSE RESEARCH EXPERIENCE

With extensive experience across multiple research projects, Fang Yang's work spans from safety analysis of new energy vehicle infrastructure to public service optimization using big data. His diverse expertise reflects a broad commitment to advancing transportation systems through innovative research.

NOTABLE PUBLICATION

Predictability of Short-Term Passengers’ Origin and Destination Demands in Urban Rail Transit.
Authors: F. Yang, C. Shuai, Q. Qian, M. He, J. Lee
Year: 2023
Journal: Transportation, 50(6), pp. 2375–2401

Online Car-Hailing Origin-Destination Forecast Based on a Temporal Graph Convolutional Network.
Authors: C. Shuai, X. Zhang, Y. Wang, F. Yang, G. Xu
Year: 2023
Journal: IEEE Intelligent Transportation Systems Magazine, 15(4), pp. 121–136

Intelligent Diagnosis of Abnormal Charging for Electric Bicycles Based on Improved Dynamic Time Warping.
Authors: C. Shuai, Y. Sun, X. Zhang, X. Ouyang, Z. Chen
Year: 2023
Journal: IEEE Transactions on Industrial Electronics, 70(7), pp. 7280–7289

Promoting Charging Safety of Electric Bicycles via Machine Learning.
Authors: C. Shuai, F. Yang, W. Wang, Z. Chen, X. Ouyang
Year: 2023
Journal: iScience, 26(1), 105786

Battery Swapping Demands Forecast for Electric Bicycles Based on Data-Driven.
Authors: C.-Y. Shuai, F. Yang, X. Ouyang, G. Xu
Year: 2021
Journal: Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 21(2), pp. 173–179

Mohamed Almansour – Transportation Engineering – Best Researcher Award

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Mohamed Almansour - Transportation Engineering - Best Researcher Award

University of Missouri-Columbia - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Mohamed Almansour began his academic journey at Alexandria University, where he earned his Bachelor's degree in Computer and Systems Engineering with a thesis focused on predicting sub-populations using Single-Nucleotide Polymorphisms (SNPs). He continued his education at the University of Missouri, obtaining a Master's degree in Computer Science with a specialization in AI and Machine Learning.

PROFESSIONAL ENDEAVORS

Mohamed's professional experience spans various domains, including academia and industry. He served as an Instructor at Alexandria University, where he taught courses in programming, data structures, statistics for computing, and digital logic design. Additionally, he worked as a Graduate Fellow at the University of Missouri, conducting research in computer vision, deep learning, and medical imaging. He also gained industry experience as a Software Engineer at Bloomberg LP and Siemens Healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS

Mohamed's research primarily focuses on computer vision, deep learning, and medical image analysis. He has contributed to several publications and conferences, addressing topics such as high-resolution MRI brain inpainting, transportation mode choice models, and neonatal HIE segmentation. His work demonstrates a commitment to advancing knowledge and solving real-world problems in these fields.

IMPACT AND INFLUENCE

Through his research and professional endeavors, Mohamed has made a significant impact on the academic and industrial communities. His contributions to the BONBID-HIE Lesion Segmentation Challenge, where he ranked first, highlight his expertise and influence in the field of medical imaging analysis.

ACADEMIC CITES

Mohamed's publications have been well-received in the academic community, with citations in prominent conferences and journals. His research output underscores the relevance and significance of his work in areas such as biomedical informatics and transportation engineering.

LEGACY AND FUTURE CONTRIBUTIONS

As Mohamed continues his academic and professional journey, his legacy in computer science and engineering is poised to grow. His future contributions are expected to further advance the fields of computer vision, deep learning, and medical imaging analysis, addressing critical challenges and driving innovation in these domains.

NOTABLE PUBLICATION

Sensitivity evaluation of machine learning-based calibrated transportation mode choice models: A case study of Alexandria City, Egypt  2024

Transportation Engineering

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Transportation Engineering

Introduction to Transportation Engineering: Transportation engineering is a vital discipline within civil engineering that addresses the planning, design, construction, and maintenance of transportation systems. These systems encompass roadways, bridges, railways, airports, and urban transit networks, all of which are essential for the efficient movement of people and goods. Transportation engineers play a pivotal role in ensuring the safety, sustainability, and functionality of these critical infrastructure elements.

Subtopics in Transportation Engineering:

  1. Traffic Management and Control: Traffic engineers focus on optimizing traffic flow, managing congestion, and enhancing safety through strategies such as signal synchronization, intelligent transportation systems, and traffic simulation modeling.
  2. Urban Mobility Planning: Urban transportation planners work on developing comprehensive mobility plans for cities and metropolitan areas, which often involve the integration of public transit, cycling infrastructure, and pedestrian-friendly designs to reduce congestion and improve accessibility.
  3. Transportation Infrastructure Resilience: This subfield addresses the resilience of transportation infrastructure against natural disasters and climate change, emphasizing the design and retrofitting of resilient bridges, highways, and airports to ensure uninterrupted connectivity during extreme events.
  4. Sustainable Transportation: Transportation engineers contribute to sustainability efforts by promoting eco-friendly transportation modes like electric vehicles, designing energy-efficient transportation systems, and advocating for the reduction of greenhouse gas emissions in the transportation sector.
  5. Transportation Safety and Accident Analysis: Professionals in this area analyze accident data and implement safety measures to reduce the frequency and severity of accidents on roadways, including measures such as road design improvements, advanced driver assistance systems, and public awareness campaigns.
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