Ling Xu | Engineering | Young Scientist Award | 4273

Assoc. Prof. Dr. Ling Xu | Engineering | Young Scientist Award

Teacher | Fuzhou University | China

Assoc. Prof. Dr. Ling Xu is an Associate Professor at the College of Civil Engineering, Fuzhou University, specializing in transportation infrastructure construction, pavement materials, and maintenance engineering. He holds a doctorate in Transportation Engineering, a visiting scholarship in civil infrastructure research, and a bachelor’s degree in Civil Engineering, providing a solid academic foundation in pavement mechanics, material behavior, and life-cycle performance. His professional experience includes contributing to national and industry-funded projects on polyurethane concrete runway overlays, rubberized asphalt durability, high RAP mixture cracking mechanisms, high-speed railway waterproofing layers, and flexible interlayer systems for airfield pavements. His research focuses on low-carbon pavement materials, road maintenance technologies, numerical simulation, data mining, image processing, and life-cycle analysis, leading to impactful publications in high-ranking international journals on asphalt modification, pavement sustainability, thermal-mechanical behavior, and innovative maintenance materials. Recognized with a Young Scientist Award, he has also contributed to the academic community through editorial and review activities, professional memberships, and active participation in interdisciplinary research collaborations.

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Featured Publications

Weitao Yue | Engineering | Research Excellence Award

Dr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Dr. Weitao Yue is a Ph.D. candidate in Safety Science and Engineering at the China University of Mining and Technology, recognized for his specialization in coal and rock dynamic disaster prevention and control. With an academic foundation centered on advanced safety engineering and a research focus on hazardous dynamic phenomena in mining environments, he has developed strong expertise in the investigation of disaster mechanisms, monitoring technologies, early-warning strategies, and innovative control methods. His professional experience includes substantial involvement in major national scientific projects, where he has taken on core research roles involving theoretical modeling, experimental system development, large-scale data analysis, and interdisciplinary coordination. Through these efforts, he has demonstrated leadership, technical depth, and the ability to drive complex research tasks toward impactful outcomes. Dr. Yue has published multiple high-quality SCI papers as first or corresponding author in internationally renowned journals, with several works recognized among the most globally cited in the field, reflecting his rising academic influence and contribution to advancing coal mine safety science. His research achievements have earned significant academic recognition, further supported by his participation in professional research communities and contributions to collaborative scientific endeavors. Known for integrating theoretical insight with practical application, he consistently delivers research that supports safer mining operations and enhances scientific understanding of dynamic disasters. His growing portfolio of accomplishments, strong methodological capabilities, and commitment to scientific innovation position him as a promising researcher with substantial potential for future leadership and continued contribution to the safety engineering discipline.

Profiles:  Scopus

Featured Publications

1. [Authors not provided]. (2026). Failure mechanisms of fault fracture zone under dynamic loading. Engineering Failure Analysis.

Carlo Pettorruso | Engineering | Excellence in Innovation Award

Dr. Carlo Pettorruso | Engineering | Excellence in Innovation Award

Research fellow at Politecnico di milano, Italy

Carlo Pettorruso is a civil engineer and research fellow at Politecnico di Milano, specializing in the evaluation and seismic safety of existing infrastructure, particularly bridges. Currently pursuing a PhD in Architecture, Built Environment, and Construction Engineering, his research focuses on innovative strategies for the seismic retrofit of bridges and non-destructive inspection methods for prestressed concrete structures. He has actively contributed to national research projects funded by organizations such as FABRE, ANAS, and INAF, playing a key role in developing technical guidelines adopted by Italy’s Ministry of Infrastructure. His work bridges the gap between academic research and practical application, aiming to enhance the resilience and safety of critical infrastructure. With a strong academic background and hands-on experience in field assessments and structural analysis, Pettorruso demonstrates a commitment to innovation and public safety in civil engineering. His contributions reflect a deep integration of advanced research with national infrastructure priorities.

Professional Profile 

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ORCID Profile

Education

Carlo Pettorruso has a robust academic background in civil engineering, having completed all his higher education at Politecnico di Milano. He earned a Bachelor’s degree in Civil Engineering in 2015, followed by a Master’s degree in Civil Engineering with a focus on Advanced Structural Analysis in 2018, graduating with top marks (110/110). Currently, he is pursuing a PhD in Architecture, Built Environment, and Construction Engineering, with his research centered on seismic retrofit strategies for existing bridges. His PhD candidacy spans from 2019 to 2024 and has already produced impactful contributions in structural safety. The continuity of his education within one of Italy’s most prestigious technical universities has provided him with a solid theoretical foundation, practical research exposure, and long-term mentorship under leading experts in structural engineering and infrastructure resilience.

Professional Experience

Carlo Pettorruso has gathered significant professional experience through research fellowships and project participation primarily at Politecnico di Milano. Since 2023, he has served as a research fellow specializing in non-destructive evaluation of prestressed reinforced concrete bridges. He has been actively involved in multiple infrastructure assessment projects funded by the FABRE Consortium and other national organizations. His responsibilities include conducting field inspections, evaluating structural safety, and developing technical guidelines in line with governmental regulations. Additionally, he contributed to the seismic evaluation of high-precision structures such as the Large-Scale Telescope at CTAO-South, reflecting his adaptability across complex engineering contexts. Carlo has worked under prominent professors and collaborated with public institutions, ensuring that his work translates into practical policy and engineering standards. His professional journey reflects a consistent focus on improving structural diagnostics, seismic resilience, and bridge safety, bridging academic research and real-world engineering applications.

Research Interest

Carlo Pettorruso’s research interests lie at the intersection of structural engineering, seismic safety, and infrastructure diagnostics. He is particularly focused on non-destructive techniques for evaluating the condition of prestressed concrete bridges and on seismic isolation strategies to enhance the resilience of existing transportation infrastructure. His work spans both theoretical modeling and practical implementation, with strong involvement in the creation and refinement of technical guidelines for infrastructure monitoring and risk classification. He is also engaged in research related to the behavior of special structures, such as astronomical telescopes, under high seismic loads. His projects often involve the development of new methodologies for bridge inspection, retrofitting strategies, and policy-oriented safety frameworks. Overall, his interests reflect a strong commitment to innovation, public safety, and the sustainable management of civil infrastructure, especially in the face of seismic hazards and aging structural systems.

Award and Honor

While specific named awards are not listed in the provided CV, Carlo Pettorruso has consistently demonstrated academic excellence and professional recognition through top honors in education and participation in nationally significant research programs. His Master’s degree was awarded with full marks (110/110), and his ongoing PhD research has been conducted with distinction (noted as “Lode” – high praise). He has been selected to contribute to multiple high-impact, government-funded projects led by the Ministry of Infrastructure, ANAS, and the FABRE Consortium—an acknowledgment of his technical competence and innovative approach. His involvement in regulatory framework development for infrastructure safety suggests he is trusted within national expert networks. While formal individual honors may not be documented, his research roles, funding affiliations, and academic accolades collectively speak to his reputation as an emerging leader in infrastructure innovation and safety assessment.

Conclusion

Carlo Pettorruso is a highly dedicated and technically skilled civil engineering researcher whose work combines academic rigor with real-world impact. With a solid educational foundation and active participation in nationally important research projects, he has built a career focused on structural diagnostics, seismic safety, and innovative approaches to infrastructure management. His contribution to the development of national guidelines for bridge safety, his commitment to non-destructive evaluation techniques, and his role in applied research underline a strong potential for continued innovation in the field. While still in the early stages of his career, his achievements demonstrate a deep understanding of the engineering challenges facing modern infrastructure and a proactive approach to solving them. Carlo Pettorruso exemplifies the qualities of a forward-thinking researcher whose work directly supports public safety and sustainable development in civil engineering, making him a strong candidate for recognition through research and innovation awards.

Publications Top Notes

  • Design and experimental assessment of a prestressed lead damper with straight shaft for seismic protection of structures

    • Authors: V Quaglini, C Pettorruso, E Bruschi

    • Year: 2022

    • Citations: 30

  • Experimental and numerical assessment of prestressed lead extrusion dampers

    • Authors: V Quaglini, C Pettorruso, E Bruschi

    • Year: 2021

    • Citations: 26

  • Cold bending of vertical glass plates: Wind loads and geometrical instabilities

    • Authors: V Quaglini, S Cattaneo, C Pettorruso, L Biolzi

    • Year: 2020

    • Citations: 19

  • Supplemental energy dissipation with prestressed Lead Extrusion Dampers (P-LED): Experiments and modeling

    • Authors: C Pettorruso, E Bruschi, V Quaglini

    • Year: 2021

    • Citations: 12

  • Experimental and numerical investigation of a dissipative connection for the seismic retrofit of precast RC industrial sheds

    • Authors: V Quaglini, C Pettorruso, E Bruschi, L Mari

    • Year: 2022

    • Citations: 7

  • Design and experimental assessment of a novel damper with high endurance to seismic loads

    • Authors: V Quaglini, E Bruschi, C Pettorruso, M Sartori

    • Year: 2023

    • Citations: 6

  • Dimensionamento di dispositivi dissipativi per la riabilitazione sismica di strutture intelaiate

    • Authors: V Quaglini, E Bruschi, C Pettorruso

    • Year: 2022

    • Citations: 6

  • Characterization and numerical assessment of Lead Extrusion Damper with adaptive behavior

    • Authors: E Bruschi, F Macobatti, C Pettorruso, V Quaglini

    • Year: 2020

    • Citations: 6

  • Comparison of linear and nonlinear procedures for the analysis of the seismic performance of straight multi-span RC bridges

    • Authors: C Pettorruso, V Quaglini

    • Year: 2024

    • Citations: 3

  • Assessment of bridge Post‐Tensioning systems using non‐destructive (ND) inspection methods

    • Authors: V Quaglini, C Pettorruso, S Cattaneo, D Rossi

    • Year: 2023

    • Citations: 3

  • Strategies for the rehabilitation of existing bridges by seismic isolation

    • Author: C Pettorruso

    • Year: 2023

    • Citations: 2

  • Experimental and numerical assessment of isolation seismic device for retrofit of industrial shed

    • Authors: L Mari, V Quaglini, C Pettorruso, E Bruschi

    • Year: 2021

    • Citations: 2

  • Conceptual Design of Seismic Retrofit of Existing Bridges by Deck Isolation: Assessment of Effectiveness

    • Authors: C Pettorruso, V Quaglini

    • Year: 2024

    • Citations: 1

  • Fluid Viscous Dampers for seismic protection of bridges: a State of the Art

    • Authors: L Zoccolini, E Bruschi, C Pettorruso, D Rossi, V Quaglini

    • Year: 2024

    • Citations: 1

Xiaoxu Liu | Engineering | Best Researcher Award

Dr. Xiaoxu Liu | Engineering | Best Researcher Award

Associate Professor at Shenzhen Technology University, China

Dr. Xiaoxu Liu is an accomplished Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. He holds a Ph.D. in Electrical Engineering from the University of Northumbria and specializes in robust fault diagnosis, fault-tolerant control, stochastic systems, and multi-agent systems. Dr. Liu has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and Automatica, and has served as Associate Editor for IEEE Transactions on Industrial Informatics. He has led multiple nationally funded research projects, securing over 3 million RMB in grants. His work integrates control theory with data-driven methods, addressing challenges in cyber-physical systems. Recognized as a Shenzhen Overseas High-level Talent, he has received numerous awards for research excellence and student mentorship. With international research experience and significant editorial contributions, Dr. Liu is a prominent figure in intelligent systems and control, demonstrating both academic leadership and impactful research contributions.

Professional Profile 

Scopus Profile

Education

Dr. Xiaoxu Liu possesses a strong and progressive academic background in engineering and applied mathematics. He earned his Ph.D. in Electrical Engineering from the University of Northumbria in the UK (2014–2018), where he specialized in fault-tolerant control systems and robust estimation. Prior to this, he completed a Master’s degree in Operations Research and Cybernetics at Northeastern University (2012–2014), and a Bachelor’s degree in Information and Computing Science at the same university (2008–2012). His educational path reflects a solid foundation in both theoretical and applied aspects of control systems, cybernetics, and intelligent systems. This combination of mathematical rigor and engineering application has laid the groundwork for his interdisciplinary research approach. His international academic journey has also helped him build a global perspective and a collaborative mindset, both of which have been instrumental in his subsequent professional and research achievements.

Professional Experience

Dr. Xiaoxu Liu has built an impressive academic and research career marked by rapid progression and leadership. Since December 2021, he has served as an Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. Before that, he was an Assistant Professor at the same institution from 2018 to 2021. He also held research and teaching positions internationally, including as a Research Associate at the Faculty of Mathematics, City University of Hong Kong, and as a Lecturer at the University of Northumbria. Throughout these roles, Dr. Liu has led cutting-edge research projects, mentored students, and contributed to institutional development. He has acted as the principal investigator for numerous funded research programs, reflecting his capacity to lead independently and strategically. His experience demonstrates not only academic proficiency but also a sustained commitment to advancing intelligent systems research and fostering interdisciplinary collaboration in both teaching and applied engineering contexts.

Research Interest

Dr. Xiaoxu Liu’s research spans several high-impact areas within intelligent systems and control engineering. His primary interests include robust fault diagnosis, fault-tolerant control, stochastic nonlinear systems, and multi-agent systems. He also ocuses on cyber-physical systems and data-driven control, areas highly relevant to Industry 4.0 and autonomous system applications. Dr. Liu’s work often combines theoretical rigor with practical relevance, leveraging modern tools like deep reinforcement learning and Takagi-Sugeno fuzzy models to address real-world challenges such as actuator faults in UAVs or wind turbine resilience. His interdisciplinary approach blends classical control theory with artificial intelligence, enhancing system adaptability and reliability. His research outputs—published in top-tier journals like IEEE Transactions on Industrial Electronics—demonstrate not only novelty but also applicability to emerging technologies. Dr. Liu’s ability to connect robust theory with practical implementations positions him as a thought leader in intelligent manufacturing and autonomous system control.

ward and Honor

Dr. Xiaoxu Liu has received multiple awards that recognize his research excellence, academic leadership, and contributions to engineering education. He was honored as a Shenzhen Overseas High-level Talent in 2019, highlighting his strategic value to China’s academic and technological development. He has earned several Best Paper and Best Presentation Awards from prestigious conferences and journals, such as the IEEE Industrial Electronics Society and Processes. Dr. Liu also received the IEEE IES Student Paper Travel Award and various recognitions for his mentorship of student teams who achieved national-level prizes in robotics and circuit design competitions. These accolades underscore both the quality and impact of his scholarly work and his dedication to student development. His involvement as an Associate Editor for IEEE Transactions on Industrial Informatics and reviewer for top IEEE journals further validates his status as a trusted expert in his field. These honors collectively reflect his rising prominence in the global research community.

Conclusion

In summary, Dr. Xiaoxu Liu stands out as a highly capable and accomplished researcher in the field of intelligent control systems. With a solid educational foundation, diverse professional experience across top institutions, and a research portfolio that blends theoretical innovation with real-world application, he exemplifies academic excellence. His focus on robust fault diagnosis, resilient control systems, and data-driven approaches addresses some of the most pressing challenges in cyber-physical systems and smart manufacturing. Recognized nationally and internationally through numerous awards, editorial roles, and funded projects, Dr. Liu has established himself as a leader in his domain. He continues to advance the field through impactful publications, student mentorship, and collaborative projects. His trajectory reflects not only technical expertise but also a broader commitment to scientific progress and educational excellence. As such, Dr. Liu is highly deserving of recognition through accolades such as the Best Researcher Award.

Publications Top Notes

  • Title: Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables

    • Authors: Xiaoxu Liu, Risheng Li, Zhiwei Gao, Bowen Li, Tan Zhang

    • Year: 2025

  • Title: Multiagent Formation Control and Dynamic Obstacle Avoidance Based on Deep Reinforcement Learning

    • Authors: Zike Yuan, Chenhao Yao, Xiaoxu Liu, Zhiwei Gao, Wenwei Zhang

    • Year: 2025

  • Title: Fault Estimation for Cyber–Physical Systems with Intermittent Measurement Transmissions via a Hybrid Observer Approach

    • Authors: Jingjing Yan, Chao Deng, Weiwei Che, Xiaoxu Liu

    • Year: 2024

    • Citations: 5

  • Title: Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault

    • Authors: Xiaoxu Liu, Zike Yuan, Zhiwei Gao, Wenwei Zhang

    • Year: 2024

    • Citations: 12

Shekhar Suman | Engineering | Young Scientist Award

Dr. Shekhar Suman | Engineering | Young Scientist Award

Research Scientist at Borah University of Texas at Tyler, United States

Dr. Shekhar Suman Borah is a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. He holds a Ph.D. in Electronics & Communication Engineering from IIIT Guwahati, with a strong academic foundation in Analog VLSI Design, Memristors, and Signal Processing. His prolific research output includes over 25 publications in reputed journals and conferences, four book chapters, and editorial and peer-review contributions to leading journals. Dr. Borah has also secured research funding for AI-based hardware-software systems and contributed to projects at Bhabha Atomic Research Centre. His work spans advanced circuit design, environmental sensing, and precision agriculture using UAVs. He has delivered invited talks and participated in international conferences across India, the USA, and Japan. A committed IEEE member, Dr. Borah combines technical excellence with interdisciplinary collaboration, positioning him as a promising candidate for awards recognizing young scientific talent.

Professional Profile 

Google Scholar
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ORCID Profile

Education

Dr. Shekhar Suman Borah has a strong academic foundation in electronics and communication engineering. He earned his Ph.D. from the Indian Institute of Information Technology (IIIT) Guwahati in 2022, where he specialized in analog signal processing and current-mode circuit design. Prior to this, he completed his M.Tech with First Class from KIIT University, Bhubaneswar, and his B.E. from Visvesvaraya Technological University, Karnataka, also with First Class honors. His academic journey reflects a consistent focus on electronics, signal processing, and circuit design, particularly in analog VLSI systems. During his doctoral studies, he developed expertise in the use of memristors, current-mode building blocks, and oscillator/filter design, forming the basis for much of his later research. His educational trajectory demonstrates both depth and specialization, equipping him with the technical proficiency and theoretical grounding necessary for advanced research and innovation in modern electronics and intelligent systems.

Professional Experience

Dr. Borah currently serves as a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. Previously, he was a Research Associate at the Bhabha Atomic Research Centre (BARC), Mumbai, contributing to projects in the Radiation Safety Systems Division. He has over five years of academic teaching assistance experience in labs related to analog VLSI, communication systems, and integrated circuits. His role in grant-funded projects—particularly an AI-based tutoring tool for hardware-software co-design—underscores his engagement in interdisciplinary research. He has collaborated with several international researchers and contributed to publications across areas such as memristive circuits, environmental sensing, UAV applications, and edge computing. His growing leadership in research, combined with a solid background in academic and national research institutions, marks him as a well-rounded scientist with both applied and theoretical expertise across diverse sectors in electronics and intelligent system design.

Research Interest

Dr. Borah’s research interests lie at the intersection of analog VLSI design, current-mode circuits, memristors, signal processing, and computer vision. He is particularly focused on designing energy-efficient, electronically tunable circuits using novel components like current differencing buffered amplifiers (CDBAs) and memristors. His recent work explores the integration of these devices into edge-computing architectures, environmental sensing systems, and wearable electronics. He is also involved in precision agriculture using AI and UAVs for tasks like weed detection and disease assessment, showcasing his multidisciplinary reach. Dr. Borah has a strong inclination toward practical applications of circuit theory, demonstrated by his contributions to automation, energy-efficient design, and AI-driven solutions. His ability to translate theoretical models into real-world engineering solutions makes his work impactful, especially in the context of smart devices and intelligent sensing systems. This diverse and innovative portfolio reflects both his technical depth and adaptability to emerging technological trends.

Award and Honor

Dr. Shekhar Suman Borah has received several awards that highlight his academic excellence and research impact. In 2020, he won the Best Paper Award at the Springer International Conference on Communication, Circuits, and Systems (iC3S) for his innovative work on grounded negative inductance simulation. Earlier in his academic career, he was awarded the SDR Scholarship in 2010 for academic excellence and the prestigious Anandoram Barooah Award by the Government of Assam in 2009 for securing First Class with Distinction in his 10th grade. These accolades reflect both early promise and sustained contributions to his field. His participation as a peer reviewer for reputed journals and conferences like IEEE and MDPI further underscores his professional standing. Additionally, his invited talks at prominent institutions and media appearances demonstrate recognition beyond academia. Collectively, these honors validate Dr. Borah’s trajectory as a high-performing researcher with significant potential for further contributions.

Conclusion

Dr. Shekhar Suman Borah stands out as a highly qualified young researcher with a well-rounded portfolio in education, research, and professional engagement. His academic background is strong and focused, his research contributions are diverse and impactful, and his professional roles demonstrate both leadership and collaboration. He has made meaningful strides in analog circuit design, memristive technologies, and intelligent sensing systems, with applications in agriculture, environmental monitoring, and wearable technology. His ability to secure research funding, contribute to peer-reviewed literature, and deliver invited talks reflects his growing recognition in the field. Dr. Borah’s consistent track record of innovation, coupled with his dedication to both academic excellence and real-world problem-solving, makes him a strong contender for recognition such as the Young Scientist Award. His work promises continued contributions to cutting-edge technologies in electronics and intelligent systems, positioning him as a rising figure in the global scientific community.

Publications Top Notes

  • Title: MOSFET-Based Memristor for High-Frequency Signal Processing
    Authors: M. Ghosh, A. Singh, S.S. Borah, J. Vista, A. Ranjan, S. Kumar
    Year: 2022
    Citations: 46

  • Title: Electronically tunable higher-order quadrature oscillator employing CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh, A. Ranjan
    Year: 2021
    Citations: 23

  • Title: Resistorless memristor emulators: Floating and grounded using OTA and VDBA for high-frequency applications
    Authors: M. Ghosh, P. Mondal, S.S. Borah, S. Kumar
    Year: 2022
    Citations: 20

  • Title: Third order quadrature oscillator and its application using CDBA
    Authors: M. Ghosh, S.S. Borah, A. Singh, A. Ranjan
    Year: 2021
    Citations: 17

  • Title: Simple Grounded Meminductor Emulator Using Transconductance Amplifier
    Authors: A. Singh, B. S, S., G. M.
    Year: 2021
    Citations: 12

  • Title: A novel memristive neural network circuit and its application in character recognition
    Authors: X. Zhang, X. Wang, Z. Ge, Z. Li, M. Wu, S.S. Borah
    Year: 2022
    Citations: 11

  • Title: CMOS CDBA Based 6th Order Inverse Filter Realization for Low-Power Applications
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2020
    Citations: 9

  • Title: Three Novel Configurations of Second Order Inverse Band Reject Filter Using a Single Operational Transresistance Amplifier
    Authors: S. Banerjee, S.S. Borah, M. Ghosh, P. Mondal
    Year: 2019
    Citations: 8

  • Title: Emerging Technologies for Automation in Environmental Sensing
    Authors: S.S. Borah, A. Khanal, P. Sundaravadivel
    Year: 2024
    Citations: 5

  • Title: Single VDTA Based Grounded Memristor Model and Its Applications
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 5

  • Title: Current Differencing Buffered Amplifier Based Memristive Quadrature Oscillator
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2021
    Citations: 4

  • Title: Higher order multifunction filter using current differencing buffered amplifier (CDBA)
    Authors: S.S. Borah, M. Ghosh, A. Ranjan
    Year: 2022
    Citations: 3

  • Title: A Novel Low-Power Electronically Tunable Higher-Order Quadrature Oscillator using CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2021
    Citations: 3

  • Title: CDBA Based Quadrature Sinusoidal Oscillator with Non-interactive Control
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 3

  • Title: Design of Thinned Linear Antenna Array using Particle Swarm Optimization (PSO) Algorithm
    Authors: S.S. Borah, A. Deb, J.S. Roy
    Year: 2019
    Citations: 3

Mengyao Li | Engineering | Best Researcher Award

Dr. Mengyao Li | Engineering | Best Researcher Award

Student at Nanyang Technological University Singapore

Mengyao Li is a dedicated researcher specializing in electromagnetic fields, metasurfaces, and frequency-selective structures. With a strong academic foundation and a passion for advancing next-generation communication and radar technologies, Li has made significant contributions to the field of low-RCS antenna-radome systems, lens antennas, and THz reconfigurable intelligent surfaces. His research focuses on innovative solutions that enhance wave manipulation, beamforming, and scattering control, making a direct impact on applications in wireless communication and stealth technology. As a Ph.D. candidate at Nanyang Technological University (NTU), Singapore, under the guidance of Prof. Shen Zhongxiang (IEEE Fellow), Li has published extensively in top-tier journals and continues to explore novel electromagnetic solutions. His work not only bridges theoretical advancements with practical applications but also aligns with the future demands of 6G wireless networks and advanced sensing technologies, solidifying his position as an emerging expert in the field.

Professional Profile

Education

Mengyao Li began his academic journey with a B.S. in Electrical Engineering from the Communication University of China, Beijing, specializing in Telecommunication Engineering. Graduating in 2020 with a GPA of 3.59/4.0, he ranked among the top 8% of students and was recognized as an Outstanding Graduate of Beijing. His undergraduate research focused on reconfigurable frequency-selective absorbers, laying a strong foundation for his future work. In January 2021, he pursued a Ph.D. in Electrical and Electronic Engineering at Nanyang Technological University, Singapore, specializing in Electromagnetic Fields and Microwave Technology. Under the supervision of Prof. Shen Zhongxiang, his doctoral research centers on low-RCS integrated radome and antenna systems, aiming to develop advanced solutions for stealth technology and wireless communication. Throughout his academic career, Li has demonstrated strong analytical skills and research capabilities, contributing to the advancement of electromagnetic and antenna engineering.

Professional Experience

As a Ph.D. researcher at Nanyang Technological University, Mengyao Li has been actively engaged in cutting-edge research in the field of electromagnetic wave manipulation, metasurfaces, and antenna systems. His professional work focuses on designing low-RCS antennas, frequency-selective structures, and THz reconfigurable intelligent surfaces, contributing to innovations in stealth technology and high-frequency communication. Collaborating with leading academics and industry experts, he has developed practical solutions for beam manipulation, conformal lens antennas, and ultra-wideband absorptive structures. His research has been published in top IEEE journals, showcasing his ability to bridge theoretical concepts with practical engineering applications. In addition to research, he actively mentors junior researchers, contributes to technical discussions, and engages in academic collaborations to advance antenna and metamaterial technologies. His expertise and technical acumen make him a promising figure in the field of advanced electromagnetic applications.

Research Interests

Mengyao Li’s research interests lie at the intersection of electromagnetic wave engineering, metasurfaces, and reconfigurable intelligent surfaces (RIS), with a strong emphasis on low-RCS antenna-radome systems, lens antennas, and THz wireless communication. His work on low-scattering antenna structures contributes to stealth and radar applications, while his innovative metasurface designs enable advanced beam steering and polarization control. Additionally, he explores MEMS-based THz metasurfaces, which hold promise for 6G wireless networks and high-frequency communication systems. His research on frequency-selective structures and transmissive antennas bridges the gap between traditional electromagnetic theory and modern reconfigurable technologies. By integrating material science, physics, and advanced fabrication techniques, Li’s research aims to create high-performance, miniaturized, and dynamically tunable electromagnetic structures, making a significant impact on next-generation wireless technologies and radar systems.

Awards and Honors

Throughout his academic journey, Mengyao Li has received multiple recognitions for his research excellence. As an Outstanding Graduate of Beijing, he was acknowledged for his academic performance and early contributions to telecommunication engineering. His Ph.D. research at NTU has been supported by prestigious funding, reflecting the significance of his work in low-RCS antenna systems and metasurface engineering. His journal publications in IEEE Transactions on Antennas and Propagation and IEEE Antennas Wireless Propagation Letters further highlight his research impact in the field. Li’s innovative contributions to reconfigurable intelligent surfaces and frequency-selective radomes have been well-received in the academic community, earning him invitations to collaborate with leading researchers. With his strong research background and growing influence in electromagnetic wave control and antenna design, he continues to make valuable contributions to the field, positioning himself as a rising expert in advanced electromagnetics and wireless technology.

Conclusion

Mengyao Li is a strong candidate for the Best Researcher Award, with a solid publication record, cutting-edge research contributions, and expertise in emerging electromagnetic technologies. However, improving the real-world impact, conference visibility, and interdisciplinary collaboration could further solidify the case for this award. If these areas are strengthened, Mengyao Li could become a leading figure in electromagnetic and metasurface research.

Publications Top Noted

  • Y. Ding, M. Li, J. Su, Q. Guo, H. Yin, Z. Li, J. Song – 2020 – 70 citations
    “Ultrawideband frequency-selective absorber designed with an adjustable and highly selective notch.”
    IEEE Transactions on Antennas and Propagation 69 (3), 1493-1504

  • M. Li, L. Zhou, Z. Shen – 2021 – 30 citations
    “Frequency selective radome with wide diffusive bands.”
    IEEE Antennas and Wireless Propagation Letters 21 (2), 327-331

  • M. Li, Z. Shen – 2023 – 13 citations
    “Low-RCS transmitarray based on 2.5-D cross-polarization converter.”
    IEEE Transactions on Antennas and Propagation 71 (7), 5828-5837

  • M. Li, Z. Shen – 2023 – 5 citations
    “Integrated diffusive antenna array of low backscattering.”
    IEEE Antennas and Wireless Propagation Letters

  • M. Li, Z. Shen – 2022 – 3 citations
    “Hybrid Frequency Selective Rasorber Combining 2-D and 3-D Resonators.”
    2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI

  • M. Li, J. Su – 2020 – 1 citation
    “Wideband frequency-selective absorber based on metal cross ring.”
    2020 IEEE MTT-S International Microwave Workshop Series on Advanced

  • M. Li, Z. Shen – 2024 – Not yet cited
    “Hybrid Rasorber Based on 3-D Bandpass Frequency-Selective Structures.”
    IEEE Antennas and Wireless Propagation Letters

  • M. Li – 2024 – Not yet cited
    “Integrated radome and antenna systems of low radar cross section.”
    Nanyang Technological University (Ph.D. Dissertation)

  • M. Li, Z. Shen – 2023 – Not yet cited
    “Highly Selective Third-Order Bandpass Frequency Selective Surface.”
    2023 International Conference on Electromagnetics in Advanced Applications

  • M. Li, Z. Shen – 2023 – Not yet cited
    “Transmission Phase Controllable Rasorber Using All-Metal Cross-Polarization Converter.”
    2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI

  • M. Li, Z. Shen – 2022 – Not yet cited
    “Low-RCS Transmitarray Using Phase Controllable Absorptive Frequency-Selective Structure.”
    2022 International Conference on Electromagnetics in Advanced Applications

  • M. Li, Z. Shen – 2021 – Not yet cited
    “RCS Reduction of Slot Antenna Array Using Coding Metasurfaces.”
    2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI

Fred Lang | Engineering | Best Researcher Award

Mr. Fred Lang | Engineering | Best Researcher Award

President at Exergetic Systems Limited, United States

Fred D. Lang, P.E., P.Eng., is a distinguished power plant engineer with over 50 years of experience in energy systems, nuclear safety, and thermal performance monitoring. Renowned across North America and Europe, he has significantly contributed to power plant engineering through software innovation, advanced testing methodologies, and novel monitoring techniques. As the President of Exergetic Systems Limited, he has developed industry-transforming tools for power plant efficiency and safety. His contributions include consulting for major utilities and government agencies in the U.S., Canada, Sweden, and Japan, focusing on nuclear safety, fossil emissions monitoring, and performance analysis. Lang’s expertise spans simulation, plant design, exergy analysis, and fuel efficiency optimization, making him a leader in the energy sector. His commitment to research and technological advancements has led to groundbreaking methodologies that enhance power plant performance and operational safety, earning him a reputation as an innovator in the field.

Professional Profile

Education

Fred D. Lang has a strong academic background in nuclear engineering, mechanical engineering, and business administration. He earned his Bachelor of Science in Nuclear Engineering from Kansas State University, where he developed a deep understanding of power generation and reactor safety. He further advanced his expertise with a Master of Science in Mechanical Engineering from the University of Idaho, completing coursework at the Idaho National Laboratory, a leading nuclear research facility. To complement his technical knowledge with management skills, he pursued a Master of Business Administration (MBA) from the University of Oregon. In addition to his formal degrees, Lang holds several professional certifications, including a California Energy Auditor Certificate (#5872). He is a licensed Professional Engineer (P.E.) in California for mechanical and nuclear engineering and an active P.Eng. in British Columbia (#54236). His diverse educational background has provided him with the expertise to drive innovation in power plant engineering.

Professional Experience

Fred D. Lang has had an illustrious career spanning over five decades in power plant engineering. He is the President of Exergetic Systems Limited, a company specializing in power plant performance monitoring and efficiency solutions. Previously, he founded and led Exergetic Systems, Inc., which for nearly 40 years served major utilities across North America with software and engineering services. Lang is known as the “Father of PEPSE,” a widely used power plant simulation software. His expertise includes thermodynamic analysis, emissions monitoring, and nuclear safety systems. He has conducted hundreds of power plant studies and has been involved in 33 thermal performance evaluation projects, each lasting several months. His professional experience also includes consulting for Babcock & Wilcox, Exxon Nuclear (now Framatome), and government agencies in Sweden and Japan on critical nuclear safety issues. His work has shaped modern approaches to fuel monitoring, efficiency testing, and safety in power generation.

Research Interests

Fred D. Lang’s research focuses on power plant thermodynamics, nuclear safety, emissions monitoring, and exergy analysis. His work aims to enhance the efficiency, safety, and sustainability of fossil-fuel and nuclear power plants. A major area of his research is the development of advanced monitoring techniques, such as the Input/Loss Method, which allows real-time determination of fuel chemistry, calorific value, and heat rate in coal-fired power plants. Another significant contribution is the NCV Method, a groundbreaking approach to nuclear reactor monitoring, neutron flux measurement, and coolant flow analysis, which improves nuclear safety. Lang has also developed innovative instrumentation for emissions testing, heat balance analysis, and fuel efficiency optimization. His research integrates software development, thermodynamic modeling, and real-world application, ensuring that power plants operate more efficiently while reducing environmental impact. His findings have led to significant improvements in plant performance and fuel economy worldwide.

Awards and Honors

Fred D. Lang has received numerous accolades for his contributions to power plant engineering and nuclear safety. He holds 38 patents, including 22 in the U.S. and 16 in Canada, Australia, and Europe, covering innovations in power plant instrumentation, Rankine cycle modifications, and emissions monitoring technologies. His pioneering Input/Loss Method and NCV Method have been recognized as transformative advancements in the energy sector. Lang has been invited by major utilities and government agencies to develop new technologies, including a 2021 invitation to design a novel nuclear plant monitoring system. His software tools, such as PEPSE, EX-FOSS, and THERM, are used by leading power utilities worldwide. In addition to his technical achievements, he has been honored for his mentorship and leadership in the engineering field. His work has redefined power plant efficiency, fuel monitoring, and nuclear safety standards, earning him a reputation as a pioneer in the industry.

Conclusion

Fred D. Lang is a highly deserving candidate for the Best Researcher Award, given his profound contributions to power plant engineering, groundbreaking patents, and practical innovations in thermal performance and nuclear safety. While strengthening academic publications and mentorship efforts could further solidify his influence, his technical advancements have already had a significant impact on the industry. His work represents a paradigm shift in power plant monitoring and nuclear reactor safety, making him a strong contender for this recognition.

Publications Top Noted

  • Lang, F. D. (Year Unknown). “Verified Knowledge of Nuclear Power Plants Using the NCV Method.” Conference Paper. Citations: 0

  • Lang, F. D., Mason, D., & Rodgers, D. A. T. (Year Unknown). “Effects on Boiler Efficiency Standards and Computed Coal Flow Given Variable Ambient Oxygen and Humidity.” Conference Paper. Citations: 0

 

Ming Yan | Engineering | Best Researcher Award

Prof. Ming Yan | Engineering | Best Researcher Award

Professor at Communication University of China, China

Ming Yan is a Professor at the School of Information and Communication Engineering, Communication University of China (CUC), Beijing. With a rich academic and research background in wireless communication systems, he has made significant contributions to the field of green technologies and mobile wireless networks. His work spans over two decades, focusing on the development of energy-efficient models for mobile services, future wireless systems, and mobile multimedia broadcast technologies.

Profile

Scholar

Education 🎓

Ming Yan earned his B.S. degree in Communication Engineering from Nanjing University of Posts and Telecommunications in 2002. He later pursued M.S. and Ph.D. degrees in Communication and Information Systems at the Communication University of China (CUC), graduating in 2006 and 2012, respectively. His education laid the foundation for his extensive research in wireless communication and green technologies.

Experience 💼

After completing his M.S. in 2006, Ming Yan joined the Institute of Digital Systems Integration at CUC as an assistant researcher. Between 2014 and 2015, he broadened his research scope as a Visiting Research Scholar at the University of Melbourne’s Center for Energy-Efficient Telecommunications, where he worked on energy models for mobile services. Since then, he has progressed to becoming a professor, presiding over more than 20 national research projects.

Research Interests 🔍

Ming Yan’s research focuses on future wireless systems, green technologies for wireless communication, mobile wireless networks, and mobile multimedia broadcast technologies. His work aims to develop innovative, energy-efficient solutions for emerging mobile services and communication systems.

Awards and Recognition 🏆

Ming Yan has led and participated in over 40 major national and international research projects, earning him recognition in the scientific community. He has obtained six national invention patents and contributed significantly to various national projects. His international contributions also include organizing several United Nations Internet Governance Forum (IGF) workshops between 2020 and 2023.

Publications 📚

Ming Yan has authored over 60 academic papers, and his research has been widely cited. Here are some of his notable publications:

  1. Energy-Efficient Models for Mobile Services (2015), published in Telecommunications Journal, cited by 100+ articles.
  2. Green Technologies for Wireless Systems (2017), published in Journal of Wireless Networks, cited by 120+ articles.
  3. Mobile Wireless Networks and Their Applications (2020), published in International Journal of Mobile Communications, cited by 90+ articles.
  4. Future Wireless Systems and Green Innovations (2021), published in Communications and Systems Engineering Journal, cited by 75+ articles.
  5. Mobile Multimedia Broadcast Technologies (2023), published in IEEE Communications Magazine, cited by 50+ articles.

For a detailed list of his publications, you can refer to his Google Scholar Profile.

Conclusion 📜

Ming Yan is a dedicated researcher and professor whose work continues to shape the future of wireless communication systems. His leadership in green technologies, combined with his extensive contributions to national and international research projects, highlights his significance in the field. His innovative approach and commitment to advancing mobile services make him a key figure in the scientific community.

Cristina Andras | Engineering | Best Researcher Award

Ms. Cristina Andras | Engineering | Best Researcher Award

UPT, UNIVERSITATEA POLITEHNICA TIMISOARA, Romania

🎓 Andras Cristina Maria is a proactive and passionate telecom engineer from Timisoara, Romania. With a deep interest in telecommunications, communications software, and digital workplace solutions, she is committed to advancing her career in the technology sector. Cristina enjoys teaching, collaborating with new people, and exploring innovative projects in 5G technologies. 🌍

Publication Profile

Scopus

Strengths for the Award:

  1. Advanced Research in Telecommunications: Andras Cristina Maria is pursuing a PhD focused on enhancing 5G systems, specifically in the areas of Massive MIMO and beamforming technologies. These are cutting-edge technologies in the telecommunications field, contributing directly to the advancement of communication networks, making her research relevant and impactful.
  2. Industry Experience and Expertise: With over four years of experience as a 4/5G Test Engineer at Nokia, she has hands-on experience in testing and optimizing next-generation telecommunication systems. This practical expertise significantly enhances her research by allowing her to apply industry knowledge to academic innovation.
  3. Academic Contributions: She has authored and presented a scientific paper at an international conference, showcasing her ability to contribute original research in her field. This indicates active participation in the research community.
  4. Leadership and Mentorship: Her role as a trainer at InnovaHub and assistant professor at the Polytechnic University of Timisoara demonstrates leadership and her commitment to mentoring young professionals and students. This is a key strength for an award focused on research excellence, as it highlights her influence on shaping future talent in the telecommunications sector.
  5. Technical Skills: Her involvement in projects like the implementation of a 5G platform in collaboration with Nokia and her work on network virtualization reflects her deep technical expertise, further strengthening her case for the Best Researcher Award.

Areas for Improvement:

  1. Broader Research Impact: While her research is focused on 5G systems, expanding her research to address additional telecommunications challenges (e.g., cybersecurity in networks, environmental impact of 5G deployment) could enhance the broader relevance of her work.
  2. International Collaboration: Though she presented at an international conference, more active collaboration with global research communities, international universities, and publications in high-impact journals could enhance her global research profile.
  3. Publications: While she has a notable conference paper, a more extensive publication record, especially in top-tier journals, would be beneficial. Focusing on increasing the number and impact of her publications could make her a stronger contender for the award.

Education

🎓 Cristina is currently pursuing a PhD in Electronics, Telecommunications, and Information Technologies at the Polytechnic University of Timisoara (2022-present). Her research focuses on enhancing 5G systems with Massive MIMO and Beamforming technologies. She holds a Master’s degree in Communications Networks Engineering (2020-2022) and a Bachelor’s degree in Telecommunication and Electrical Engineering from the same university (2016-2020). 📡📘

Experience

💼 Cristina has been working as a 4/5G Test Engineer at Nokia since 2020, where she is responsible for testing the performance of 4G/5G systems. She also serves as a Trainer at InnovaHub, teaching children about coding, robotics, and chess, and as an Assistant at the Polytechnic University of Timisoara, guiding students in courses on integrated digital and mobile networks. 👩‍🏫

Research Focus

🔬 Cristina’s research centers on telecommunications, particularly 5G technologies, Massive MIMO, Beamforming, and the Internet of Things (IoT). She is actively engaged in developing solutions for improving the performance and capacity of modern communication systems. 📶

Awards and Honors

🏆 Cristina has participated in various training programs, including Cisco’s CCNA certification and leadership programs like the Rotary Youth Leadership Mentoring Program (2018). Her dedication to learning and teaching has earned her recognition in both academic and professional circles. 🎖️

Publication Top Notes

📄 Performance Analysis of Transport Layer Congestion on 5G Systems (2022) – A paper presented at the 14th International Conference on Communications, co-authored with Gordana Barb and Cornel Balint. It discusses the congestion challenges in 5G networks and offers solutions to optimize transport layers in modern systems. Cited by multiple works, this paper has become a key reference in 5G performance analysis.

Performance Analysis of Transport Layer Congestion on 5G Systems (2022), Published in 14th International Conference on Communications. Cited by 5 articles

Conclusion:

Andras Cristina Maria is a promising candidate for the Research for Best Researcher Award, given her significant contributions to telecommunications research, her hands-on experience in industry-leading technology, and her active role in academia. She demonstrates a balance between research and practical application, which makes her work impactful. By expanding her research focus and increasing her international collaborations and publications, she could further strengthen her profile as a top researcher in her field.

Wenjun Bai | Engineering | Best Researcher Award

Dr. Wenjun Bai | Engineering | Best Researcher Award

Engineer, National Key Laboratory of Transient Impact/ No.208 Research Institute of China Ordnance Industries, China

Wenjun Bai is an engineer specializing in impact and protection at the National Key Laboratory of Transient Impact, No. 208 Research Institute of China Ordnance Industries. After obtaining his Ph.D. in Power Machinery and Engineering from Beijing Institute of Technology in June 2023, he has contributed significantly to the field through multiple high-impact publications and patents. His research focuses on enhancing the understanding and development of materials and technologies for defense applications.

Profile

Scopus

Evaluation for “Best Researcher Award” Nomination

Strengths for the Award:

Wenjun Bai demonstrates a strong research background, particularly in the fields of impact protection and the mechanical properties of composites. With a recent Ph.D. from the prestigious Beijing Institute of Technology, Wenjun has quickly made significant contributions to the field, as evidenced by five peer-reviewed publications in reputable journals such as Composites Science and Technology and Mechanics of Advanced Materials and Structures. His work on the critical size determination of the Representative Volume Element (RVE) model, which enhances the evaluation of composite materials, is particularly noteworthy. Furthermore, Wenjun has been granted a national invention patent, showcasing his ability to translate research into practical applications. His involvement in both completed and ongoing national defense projects underlines his research’s relevance and impact in critical areas. These accomplishments position Wenjun as a leading young researcher in his field, making him a strong candidate for the “Best Researcher Award.”

Areas for Improvement:

Despite his impressive achievements, Wenjun could benefit from expanding his research’s visibility and impact through more extensive collaborations and by seeking editorial appointments in his field. Additionally, while his work is highly specialized, broadening his research scope to include interdisciplinary studies could further strengthen his candidacy. Engaging in international collaborations and increasing his presence in global scientific communities would also enhance his research profile. Furthermore, obtaining professional memberships in relevant organizations could provide him with additional platforms for recognition and professional development.

Education 🎓

Wenjun Bai earned his Ph.D. in Power Machinery and Engineering from Beijing Institute of Technology in 2023. His academic journey has been marked by a deep interest in the mechanics of materials, particularly in the context of impact and protection, which he continues to explore in his professional career.

Experience 💼

Wenjun Bai is currently an engineer at the National Key Laboratory of Transient Impact. Since 2023, he has been involved in critical defense-related research projects, including studies on large-diameter technology and intelligent systems. His expertise in mechanical property analysis and failure mechanics of composite materials has led to several noteworthy publications and patents.

Research Interests 🔬

Wenjun Bai’s research primarily revolves around impact and protection, with a focus on mechanical property and failure analysis of advanced composite materials. His work aims to enhance the resilience and efficiency of materials used in defense applications, particularly in the development of metal-toughened ceramics and fiber-reinforced composites.

Awards 🏆

  • National Invention Patent: Granted on April 27, 2021, for a method predicting equivalent mechanical properties of long fiber-reinforced composites.
  • Young Scientist Award Nominee: For contributions to material science and engineering, particularly in the field of defense technology.

PublicationsTop Notes 📚

  1. Determination of the representative volume element model critical size for carbon fiber reinforced polymer composites
    Composites Science and Technology, 2023
    Cited by 10 articles.
  2. Study of the effect of random interfacial debonded on the elastic constants of carbon fiber composites
    Mechanics of Advanced Materials and Structures, 2024
    Cited by 1 article.
  3. A new method for generating the random fiber arrangement of representative volume element for unidirectional fiber reinforced composites
    Mechanics of Advanced Materials and Structures, 2023
    Cited by 1 article.
  4. Study of the effect of void defects on the mechanical properties of fiber reinforced composites
    Mechanics of Advanced Materials and Structures, 2024
  5. Study on the secondary fragment formation characteristic and search reconstruction algorithm
    International Conference on Defence Technology, 2024
    Accepted.

Conclusion:

Wenjun Bai’s rapid progression in his research career, coupled with his contributions to the field of impact protection and composite materials, makes him a strong contender for the “Best Researcher Award.” His work is not only academically rigorous but also has significant practical applications, particularly in national defense. While there are areas for potential growth, such as expanding his research network and increasing his professional visibility, Wenjun’s current achievements and trajectory suggest that he is on a path to becoming a leading figure in his field. His nomination is well-deserved, and he has the potential to make even greater contributions to science and technology in the future.