Dr. Thi Huynh Anh Le | Renewable Energy | Best Researcher Award

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Dr. Thi Huynh Anh Le | Renewable Energy | Best Researcher Award 

Dr. Thi Huynh Anh Le, The University of Danang, University of Science and Technology, Vietnam

Le Thi Huynh Anh is a Lecturer in Industrial Management at the Faculty of Project Management, The University of Danang – University of Science and Technology (DUT), Vietnam. She earned her Ph.D. in Industrial Management from the National Taiwan University of Science and Technology (NTUST) in 2023, following her Master’s degree from the same institution in 2019. Her academic journey began with a Bachelor of Engineering in Industrial Engineering and Management from DUT, where she graduated with high distinction. With extensive experience in teaching and research, she supervises students in scientific research projects and industrial management studies. Her research interests include supply chain optimization, logistics management, renewable energy systems, smart grids, and operations management. She has contributed to multiple high-impact publications on sustainable microgrid design, energy trading, and data-driven anomaly detection. In addition to her academic pursuits, she has experience in quality assurance and process engineering in the industry. Skilled in programming languages such as Python, MATLAB, and AMPL, she integrates advanced computational techniques into her research. Throughout her career, she has received numerous academic honors and awards, recognizing her excellence in education, research, and youth leadership activities.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Le Thi Huynh Anh is a highly qualified candidate for the Best Researcher Award given her impressive academic background, multidisciplinary research contributions, strong publication record, and dedication to education and mentorship in the field of Industrial Management and Energy Systems.

🎓 Education

  • 📜 Ph.D. in Industrial Management (2021-2023) – National Taiwan University of Science and Technology (NTUST), Taiwan

    • 🎯 Graduated in April 2023

    • 🏆 Average grade: 4.12/4.30 (Excellent)

  • 📜 Master’s in Industrial Management (2018-2019) – National Taiwan University of Science and Technology (NTUST), Taiwan

    • 🎯 Graduated in June 2019

    • 🏆 Average grade: 4.13/4.30 (Excellent)

  • 🎓 Bachelor of Engineering in Industrial Engineering and Management (2011-2016) – The University of Danang, University of Science and Technology (DUT), Vietnam

    • 🎯 Graduated in February 2016

    • 🏆 Average grade: 3.40/4.00 (Very Good)

    • 🏅 Ranked 3rd out of 54 students

💼 Work Experience

  • 👩‍🏫 Lecturer in Industrial Management (March 2017 – Present) – The University of Danang, University of Science and Technology, Vietnam

    • 📚 Teaching and research

    • 🎓 Supervising students’ scientific research & projects

    • 📋 Organizing academic and youth activities

  • 🏭 Process Engineer (January 2017 – February 2017) – Unilever Vietnam International Co., Ltd.

    • 🏆 Applied quality improvement methods

    • 🎯 Provided technical training & root cause analysis

  • 🛠️ Quality Assurance Officer (February 2016 – December 2016) – Vinabag Joint Stock Company

    • ✅ Ensured product quality and workplace safety

🏆 Academic Honors & Achievements

  • 🏅 “Excellent Student” Award (2013-2014) – Rector of University of Science and Technology

  • 🏅 “Excellent Student” Award (2014-2015) – Rector of University of Science and Technology

  • 🎖️ Very Good – University Graduation Certificate (2016) – Rector of University of Science and Technology

🎖️ Awards for Youth Union & Social Activities

  • 🏆 “Excellent Achievement in Youth Union Tasks & Movements” (2013-2014) – Ho Chi Minh Communist Youth Union, Danang University of Science and Technology

  • 🤝 “Outstanding Contribution in Community Volunteer Work” (2014 & 2015) – Rector of University of Science and Technology

Publication Top Notes:

CITED:23
CITED:17
CITED:16
CITED:15
CITED:09
CITED:03

Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

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Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

Prof. Lianwei Chen, Institute of Optics and Electronics, Chinese Academy of Sciences, China

Lianwei Chen is a distinguished professor at the Institute of Optics and Electronics, Chinese Academy of Sciences, specializing in laser micro/nano-processing and optical vector fields. With over 30 publications in top-tier journals, including Science Advances and Applied Physics Reviews, and a recipient of the prestigious Wang Gungwu Medal for his outstanding Ph.D. thesis, Lianwei has made significant contributions to spatial-temporal optical field manipulation and quantum imaging experiments. His innovative approach extends beyond academia; as a co-founder of two successful spin-offs, he has transformed research into commercial products, earning recognition for his work in technology commercialization. Lianwei holds a Ph.D. from the National University of Singapore, where he also received first-class honors during his Bachelor’s degree. His expertise and leadership in the field are further exemplified through his involvement with professional associations such as the Optical Society of America and the International Society for Optics and Photonics.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Lianwei Chen is a leading expert in laser micro/nano-processing and optical vector field manipulation. His innovative research aims at developing advanced laser fabrication techniques for micro- and nano-structures, coupled with optical imaging to enhance processed samples. With over 30 publications in prestigious journals such as Science Advances and Applied Physics Reviews, along with a book chapter and numerous invited talks, Dr. Chen has established himself as a prominent figure in the optics community. He has also been recognized with an award from a Nature Series Journal, underscoring his impactful contributions.

Education 🎓

  • Ph.D. in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2015 – Dec. 2019
    Scholarship: NUS Graduate School for Integrative Sciences and Engineering
    Supervisor: Prof. Hong Minghui

  • Bachelor (Hon.) in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2010 – Feb. 2015
    Honors: First Class Honor, Ranking 1st in specialization

  • Exchange Program
    University of British Columbia (UBC), Canada
    Duration: Jan. 2013 – Apr. 2013
    Award: NUS-UBC Lee Foundation Student Exchange Award

Work Experience 💼

  • Professor
    Institute of Optics and Electronics, Chinese Academy of Sciences, China
    Duration: July 2022 – Present
    Focus: Spatial-temporal optical field manipulation

  • Research Fellow
    National University of Singapore (NUS), Singapore
    Duration: July 2019 – June 2022
    Focus: Quantum imaging experiments

  • Assistant Manager
    Light: Science & Application (Nature Publishing Group)
    Duration: Aug. 2016 – Dec. 2017

  • Staff
    Optoelectronics Advances (IOE, Chinese Academy of Science)
    Duration: Dec. 2017 – Dec. 2019

  • Lab Work History

    • NUS Optical Science & Engineering Center (2017-2019)
    • NUS Laser Microprocessing Lab (2014-2017)
    • Singapore Institute of Manufacturing Technology (SIMTech), A*STAR (May – Aug. 2012)
    • Institute of Materials Research and Engineering (IMRE), A*STAR (May – Aug. 2013)

Achievements 🌟

  • 30+ Publications in top-tier journals (e.g., Science Advances, Applied Physics Reviews)
  • Co-founder of two spin-offs with over 20 staff
  • First-inventor patents licensed and globally launched products
  • Invited to publish on technology commercialization in iScience journal, Cell Press

Awards & Honors 🏆

  • National Level Youth Talent Project, China (2023)
    One of four recipients nationwide
  • Wang Gungwu Medal and Prize (2020)
    Top PhD thesis in Natural Science, NUS
  • Third Prize, Rising Star of Light (2018)
    Nature Publishing Group
  • Shortlisted for Design of the Year (2018)
    President’s Design Award, Singapore
  • Top 10 Ideas (University Category, 2014)
    Samsung Solve for Tomorrow Contest
  • Outstanding Undergraduate Researcher Prize (2014)
    NUS
  • Invited Scholar (2011)
    World Leadership Conference, Singapore

Publication Top Notes:

Vectorial-Optics-Enabled Multi-View Non-Line-Of-Sight Imaging with High Signal-To-Noise Ratio

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Global Selection Rules and Giant Enhanced Harmonic Generations in LiNbO3 Nonlinear Meta-Optics

 

Mr. Muhammad Nasir | Power System Awards | Best Researcher Award

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Mr. Muhammad Nasir | Power System Awards | Best Researcher Award 

Mr. Muhammad Nasir, University of Tasmania, Australia

Muhammad Nasir is a Ph.D. scholar in Information and Communication Technology at the University of Tasmania, Australia. he has a strong academic and professional background in computer engineering. He holds an MS in Computer Engineering from the University of Engineering & Technology, Lahore, Pakistan, and a BS in Computer Engineering from the University of Engineering & Technology, Taxila, Pakistan. Muhammad has extensive teaching and research experience. Currently, he works as a tutor in the School of ICT at the University of Tasmania, where he conducts tutorials for various courses. Previously, he served as a lecturer and lab engineer in the Department of Computer Engineering at the University of Lahore, Pakistan, contributing to both theoretical and practical education in computer engineering. He also gained industry experience as a Junior Software Developer at Egnie Next, where he worked on front-end and back-end integration.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Muhammad Nasir

Muhammad Nasir, a PhD scholar in Information and Communication Technology at the University of Tasmania, is an outstanding candidate for the Best Researcher Award. His research focuses on control and automation, particularly in the realm of Autonomous Systems using deep learning techniques. His academic background includes a Master’s and Bachelor’s degree in Computer Engineering from esteemed institutions in Pakistan, where he has demonstrated exceptional performance throughout his education.

Education 🎓

  • PhD in Computer Engineering
    University of Tasmania, Launceston, Australia
    Sep 2023 – Present
  • MS in Computer Engineering
    University of Engineering & Technology, Lahore, Pakistan
    Sep 2017 – Sep 2020
  • BS in Computer Engineering
    University of Engineering & Technology, Taxila, Pakistan
    Oct 2013 – July 2017

Work Experience 💼

  • Tutor
    School of ICT, University of Tasmania, Tasmania, Australia
    2024 – Present

    • Conducting tutorials for KIT101, KIT108, and KIT213.
  • Lecturer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Feb 2021 – 2023

    • Conducting lectures for Computer Engineering degree.
  • Lab Engineer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Sep 2017 – Feb 2021

    • Conducting labs for Computer Engineering degree.
  • Junior Software Developer Intern
    Egnie Next, Lahore, Pakistan
    Jul 2015 – Aug 2015

    • Designing front-end pages and connecting them with the back end.

Achievements & Awards 🏆

  • Higher Education Commission (HEC) Need-Based Scholarship
    For BS Students, University of Engineering & Technology (UET), Taxila, Pakistan
    (2013-2017)
  • Chief Minister UJALA Scheme for Bright Intermediate Students
    Govt. Post Graduate College, Chishtian, Pakistan
    (2011-2013)

Publication Top Notes:

Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks

H∞ performance tracking and group consensus of delayed multiagent systems under attack

Adaptive Sliding Mode Resilient Control of Multi-Robot Systems with a Leader–Follower Model under Byzantine Attacks in the Context of the Industrial Internet of Things

Frequency domain consensus control analysis of the networked multi-agent system with controller area network bus–induced delay

Mr. Yuchao Wang | Energy Collection Awards | Top Researcher Award

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Mr. Yuchao Wang | Energy Collection Awards | Top Researcher Award 

Mr. Yuchao Wang, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, China

Wang Yuchao is a dedicated Ph.D. candidate in Physics (Radio Physics) at Wuhan University of Technology, where he has been advancing his studies since September 2022. He previously earned his Master’s and Bachelor’s degrees in Physics and Electronic Information Science and Technology, respectively, from the same institution. His research focuses on rectennas and wireless energy harvesting, contributing to several high-impact publications in prestigious journals. Notable works include advancements in omnidirectional rectenna efficiency, multi-band rectifier systems, and innovative energy harvesting solutions for batteryless IoT devices. With a strong publication record, including first-authored papers in IEEE Transactions and Nature Communications, Wang is recognized for his contributions to enhancing energy conversion efficiency and developing flexible, adaptive systems for modern energy challenges. His commitment to research positions him as a promising scholar in the field of wireless energy technologies.

Professional Profile:

ORCID

Summary of Suitability for the Top Researcher Award: Yuchao Wang

Yuchao Wang, a promising researcher in the field of radio physics and wireless energy harvesting, is a suitable candidate for the Top Researcher Award due to his impressive academic background, significant research contributions, and strong publication record. Here are the key points that highlight his qualifications

🎓 Education Background

  • Ph.D. in Physics (Radio Physics)
    • Wuhan University of Technology
    • September 2022 — Present
  • M.Sc. in Physics (Radio Physics)
    • Wuhan University of Technology
    • September 2018 — June 2021
  • B.Sc. in Electronic Information Science and Technology
    • Wuhan University of Technology
    • September 2014 — June 2018

💼 Work Experience

  • Researcher
    • Wuhan University of Technology
    • Focus: Rectenna and Wireless Energy Harvesting
    • September 2014 — Present

Achievements 🏆

  • First Author Publications: Wang Yuchao has made significant contributions to the field of wireless energy harvesting, authoring several impactful papers in reputable journals:
    • “Efficiency Enhanced Seven-Band Omnidirectional Rectenna for RF Energy Harvesting,” IEEE Transactions on Antennas and Propagation, Sept. 2022.
    • “Rectifying Network Common Items Extraction for Complex Multi-Band Rectifiers: Theory, Design, and Experimental Verification,” IEEE Transactions on Circuits and Systems I, July 2024.
    • “Highly Efficient Broadband Ambient Energy Harvesting System Enhanced by Meta-Lens for Wirelessly Powering Batteryless IoT Devices,” IEEE Internet of Things Journal, Aug. 2024.
    • “Adaptive Multiband Rectifier System for Stabilized Wireless Energy Harvesting at Flexible Distances and Dynamic Conditions,” IEEE Transactions on Industrial Electronics, June 2024.
    • Additional publications highlighting innovative research in rectenna systems and energy harvesting.

Awards and Honors 🎖️

  • Outstanding Graduate Design Award (2018)
    • Chinese Ministry of Education
    • Recognized for exceptional academic and project work during the Bachelor’s program.
  • Research Excellence Award (2023)
    • Wuhan University of Technology
    • Awarded for contributions to the research community and significant publications in leading journals.
  • Best Paper Award (2024)
    • IEEE Transactions on Antennas and Propagation
    • For the paper “Rectenna-Enabled New Paradigm with Hybrid Harmonic Beamforming for Integrated Energy Harvesting, Sensing and Communications.”

Publication Top Notes:

Dual-Port Six-Band Rectenna with Enhanced Power Conversion Efficiency at Ultra-Low Input Power

Two-Port Five-Band Rectenna for Ultra-Low Ambient RF Energy Harvesting

A Broadband Low-RCS Circularly Polarized Meta-Antenna
A High-Efficiency and Reconfigurable Rectenna Array for Dynamic Output DC Power Control
BST-silicon hybrid terahertz meta-modulator for dual-stimuli-triggered opposite transmission amplitude control
Efficiency Enhanced Seven-Band Omnidirectional Rectenna for RF Energy Harvesting

Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

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Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

Prof. Xiongwen Zhao, North China Electric Power University, china

Xiongwen Zhao is a distinguished professor and Chair of Information and Communications Engineering at North China Electric Power University, Beijing, China. With a Ph.D. degree (Hons.) from Helsinki University of Technology (TKK), Espoo, Finland, earned in 2002, Dr. Zhao has had an impactful career spanning both industry and academia. His early work included roles at the China Research Institute of Radiowave Propagation as a Senior Engineer and Director and later as a Senior Researcher and Project Manager at TKK’s Radio Laboratory, where he specialized in multiple input multiple output (MIMO) wireless communications. His expertise further developed through senior specialist roles at Elektrobit Corporation, where he contributed to the European Wireless World Initiative New Radio (WINNER) Project and advanced 4G MIMO channel models. Dr. Zhao has extensive experience with wireless technologies, including WiMAX, wireless mesh networks, and mobile satellite communications.

Professional Profile:

ORCID

Suitability of Xiongwen Zhao for the Best Researcher Award

Dr. Xiongwen Zhao, currently a full Professor at North China Electric Power University, has an impressive academic and professional track record. His extensive experience in wireless communications and next-generation network technologies such as 5G, 6G, and RIS (Reconfigurable Intelligent Surface) in space-air-ground networks underscores his influence in the field. He has a remarkable number of publications (over 310), with 110 of these indexed by SCI and six recognized as highly cited papers in global research databases, establishing him as a top-tier researcher. His recent contributions to C-NOMA-enabled space-air-ground networks, energy-efficient resource allocation for industrial IoT networks, and intelligent reflecting surfaces in high-mobility systems align with cutting-edge research areas, further enhancing his profile.

Education:

  • Ph.D. (Honors), Helsinki University of Technology (TKK), Espoo, Finland, 2002.

Work Experience:

  • Director and Senior Engineer (1992–1998)
    Laboratory of Communications System Engineering, China Research Institute of Radiowave Propagation, Xinxiang, China.
  • Senior Researcher and Project Manager (1999–2004)
    Radio Laboratory, Helsinki University of Technology (TKK), Espoo, Finland.

    • Specialized in multiple input multiple-output (MIMO) wireless communications.
  • Senior Specialist (2004–2011)
    EB Wireless Solutions, Elektrobit Corporation, Espoo, Finland.

    • Engaged in the European Wireless World Initiative New Radio (WINNER) Project as a Senior Researcher for 4G MIMO channel models (2004–2007).
    • Worked on WiMAX and wireless mesh networks (2006–2008).
    • Focused on mobile satellite communications for GEO Mobile Radio Interface (GMR)-1 3G, Digital Video Broadcasting-Satellite Handhelds (DVB-SH), and antenna performance evaluations (2008–2009).
  • Full Professor and Chair Professor of Information and Communications Engineering
    North China Electric Power University, Beijing, China (Current).

    • Leads projects funded by the National Science Foundation of China (NSFC) and Chinese industries, focusing on 5G and 6G research, particularly in RIS and space-air-ground communications.

Additional Roles and Honors:

  • Over 310 publications, with 110 SCI-indexed articles and 6 highly cited papers by ESI and Scopus.
  • Senior Member of IEEE, Fellow of the Chinese Institute of Electronics (CIE), and Fellow of the China Institute of Communications.
  • Recipient of multiple awards, including the IEEE Vehicular Technology Society Neal Shepherd memorial best propagation paper award (2014), IEEE ISAPE Best Paper Awards (2018, 2021), and IEEE IWCMC Best Paper Award (2019).
  • Serves as an Associate Editor for IEEE Antennas and Wireless Propagation Letters and IET Communications. Also an Area Editor for the Chinese Journal of Radio Science, and a Leading/Guest Editor for several SCI journals.

Publication top Notes:

Collaborative Edge Computing and Program Caching With Routing Plan in C-NOMA-Enabled Space-Air-Ground Network

Energy-Efficient Resource Allocation for Space–Air–Ground Integrated Industrial Power Internet of Things Network

Energy-Minimization Resource Allocation for FD-NOMA Enabled Integrated Sensing, Communication, and Computation in PIoT

Intelligent Reflecting Surface Assisted High-Mobile Edge Computing System: Joint Optimization of Computation and Communication

MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular Cooperative Computing Network

Optimal Resource Allocation for AGIN 6G: A Learning-Based Three-Sided Matching Approach

Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

Salomão Moraes da Silva Junior is a Brazilian microfluidics researcher with a focus on cutting-edge bioengineering applications. Born in Manaus, Brazil, he holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas. Currently working at BioSense Institute in Serbia, Salomão has developed innovative microfluidics platforms, ranging from single-cell encapsulation to advanced microfabrication. His work spans biosensors, agriculture, and environmental sectors, making significant strides in microfluidic device design. With expertise in microfabrication, precision control, and integration, his research has been published in top-tier journals. Salomão has contributed to the fields of biosensors, cleanroom microfabrication, and fluid dynamics, advancing the capabilities of Lab-on-a-Chip systems.

Professional Profile

Orcid

Summary of Suitability for the Best Researcher Award

Salomão Moraes da Silva Junior is highly qualified for the Best Researcher Award due to his strong academic background, extensive research experience, and innovative contributions in the field of microfluidics and biosensors. His achievements reflect both technical expertise and impactful research output, making him a strong candidate for this award.

 🎓Education 

Salomão Moraes da Silva Junior has a robust educational background that highlights his expertise in Electrical Engineering and Microfluidics. He holds a prestigious Joint Ph.D. in Engineering Sciences with “Greatest Distinction” from Vrije Universiteit Brussel, earned in 2019, and another Ph.D. in Electrical Engineering from the University of Campinas (UNICAMP) the same year. He also completed a Master’s in Electrical Engineering from UNICAMP in 2014 and a Bachelor’s degree in Electrical Engineering from the State University of Amazonas (UEA) in 2012. His foundational technical education includes a Post-Technician diploma in Electronics from CETAM (2008) and a Technician in Electronics certification from the Mathias Machline Foundation (FMM) in 2004. Salomão’s educational journey laid the groundwork for his contributions to microfluidic research and bioengineering innovations.

  💼  Experience 

Salomão Moraes da Silva Junior is an experienced microfluidics researcher, currently a post-doctoral researcher at the BioSense Institute, University of Novi Sad (2021–Present). His work includes developing microfluidics platforms for biosensors, agriculture, and environmental applications. He also manages cleanroom labs, excelling in microfabrication protocols from design to application. Prior to this, he worked as an Engineer of New Technology at AbCheck s.r.o (2019–2021), where he developed microfluidics platforms for pharmaceutical applications. Salomão also served as a Doctoral Research Assistant (2014–2019) at Vrije Universiteit Brussel and UNICAMP, focusing on droplet generators and micromixers. Earlier in his career, he worked as a Master Research Assistant at UNICAMP (2012–2014) and as an Electronic Technician at Videolar S/A, handling maintenance in automated manufacturing systems. His extensive experience spans cleanroom fabrication, microfluidics device development, and bioengineering innovations.

🏅Awards and Honors 

Salomão Moraes da Silva Junior has been recognized for his academic and research excellence throughout his career. He graduated with “Greatest Distinction” from Vrije Universiteit Brussel, earning a prestigious Joint Ph.D. in Engineering Sciences. He has also been recognized for his innovative contributions to microfluidics, particularly in the development of Lab-on-a-Chip systems and biosensors. His research publications have been featured on journal covers, such as his work in Química Nova. Salomão’s cutting-edge research has been presented at numerous international conferences, where he has earned accolades for his pioneering work in microfluidics and biosensor integration. His awards and honors underscore his contributions to the fields of electrical engineering, biosensing, and environmental monitoring, positioning him as a leader in microfabrication and fluid dynamics.

 🌍 Research Focus 

Salomão Moraes da Silva Junior’s research focuses on the development of innovative microfluidics platforms for biosensors, agriculture, and environmental applications. His expertise lies in microfabrication processes, where he designs and validates advanced microfluidic devices tailored for specific uses, including single-cell encapsulation and picoinjection. Salomão specializes in creating microfluidic systems integrated with sensors, enabling high-precision manipulation of fluids for applications in biosensing and Lab-on-a-Chip technologies. His work also involves the fabrication of passive and active micromixers, droplet generators, and fluid control systems, using cutting-edge materials and cleanroom techniques. Salomão’s research is particularly focused on developing microfluidic solutions that address challenges in environmental monitoring and bioengineering, ensuring seamless integration with other microsystems. His contributions to this interdisciplinary field have paved the way for more efficient and versatile applications of microfluidic technologies.

  📖 Publication Top Notes

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications
WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 °C ON POLISHED ALUMINA
MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES
Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor
Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

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Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile 

orcid

Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

 🎓 Education 

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

 💼 Experience 

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

 🏅 Awards and Honors 

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

 🌍 Research Focus 

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.

Publication Top Notes

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network
Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network

 

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

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Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit

Mr. Andekuba Andezai | Power Storage Award | Best Researcher Award

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Mr. Andekuba Andezai | Power Storage Award | Best Researcher Award 

Mr. Andekuba Andezai, University of Cincinnati, United States 

Andekuba Mamman Andezai is a Ph.D. student in Materials Science and Engineering at the University of Cincinnati, focusing on green cathode materials for lithium-ion batteries and pseudosupercapacitors. His research involves synthesizing multifunctional polymer nanocomposites and enhancing their electrochemical properties for energy storage applications. With a Master’s degree in Mechanical Engineering from Vaal University of Technology and a Post-graduate Diploma in Mechanical Engineering from Bayero University, Kano, Andekuba has a robust background in experimental investigations of composite materials and energy storage solutions. His professional experience spans roles as a Graduate Research and Teaching Assistant at the University of Cincinnati, a Lecturer at Vaal University of Technology, and a Field Engineer at Prompt Engineering Construction and Consulting. His expertise includes mechanical testing, electrochemical characterization, and technical project management. Additionally, he is the President of the Society for the Advancement of Material and Process Engineering (UC) and actively participates in academic and industry conferences.

Professional Profile:

 

Summary of Suitability for Best Researcher Award:

Andekuba Mamman Andezai is a highly qualified candidate for the Best Researcher Award, particularly in the field of Materials Science and Engineering. His extensive academic and professional background, coupled with his significant research contributions, make him a standout contender for this recognition.

Education:

  1. Ph.D. in Materials Science and Engineering
    University of Cincinnati, Cincinnati, Ohio (Ongoing)

    • Research Focus: Green Cathode Materials for Lithium-Ion Batteries and Pseudosupercapacitors. Investigating the potential of CNT/PVDF/PI composites doped with Polypyrrole for energy storage and pseudosupercapacitors.
    • Key Coursework: Polymer Processing, Polymer Characterization & Analysis, Composites, Polymer Science/Physics, Advanced Thermodynamics, Mechanical Behavior and Properties, Nano-structured Engineering and Manufacturing, Advanced Material Techniques.
  2. Master’s in Mechanical Engineering
    Vaal University of Technology, Vanderbijlpark, South Africa (2020)

    • Thesis: Experimental investigation of dynamic elastic properties of particulate composites.
    • Key Coursework: Research Methodology.
  3. Post-graduate Diploma in Mechanical Engineering
    Bayero University, Kano, Nigeria (2007)

    • Project: Design and Construction of solar maize drier.
    • Key Coursework: Engineering Maths, Control System Engineering, Thermodynamics, Industrial Management, Engineering Design, Transport System, Mechanics and Properties of Material, Mechanics of Machine, Fluid Mechanics.

Work Experience:

  1. Graduate Research Assistant
    University of Cincinnati, MME Department (2023)

    • Conducted research tasks, analyzed data, and developed project methodologies.
  2. Graduate Teaching Assistant
    University of Cincinnati, MME Department (2022)

    • Answered homework questions, graded exams, prepared instructional materials, and assisted instructors in proctoring exams.
  3. Lecturer
    Vaal University of Technology, IEOMME Department (2022)

    • Monitored student performance, provided individual and group lectures, and assisted students in academic achievement through research guidance and project work.
  4. Workshop Mechanical Engineer
    Ministry of Works, Housing, and Transport, Workshop Mechanical Department (2016)

    • Monitored repairs and services of the state fleet of vehicles, plants, and machinery; supervised installations; prepared budget reports; and implemented maintenance improvements.
  5. Field Engineer/Sales Representative
    Prompt Engineering Construction and Consulting (2009)

    • Maintained machinery, conducted integrity assurance tests on petroleum storage tanks, managed construction projects, and provided technical support for the installation of equipment.
  6. Internship
    Peugeot Automobile Nigerian Limited (1998)

    • Rotated through various departments, including Body shop, Assembly line, Paint shop, Maintenance, Machine shop, and Quality control, to acquire skills and experience.

Publication top Notes:

 

Influence of the Processing Conditions on the Rheology and Heat of Decomposition of Solution Processed Hybrid Nanocomposites and Implication to Sustainable Energy Storage

Influence of the processing conditions on the rheology and heat of decomposition of solution processed hybrid nanocomposites and implication to sustainable energy storage

Effectiveness of Several Theoretical Models in Predicting the Mechanical Properties of Coconut Shell Powder/Epoxy Resin Composites

Chemical and Morphological Characterization of Coconut Shell Powder, Epoxy Resin and Coconut Shell Powder/Epoxy Resin Composites

Experimental Investigation of Dynamic Elastic Properties of Reinforced Coconut Shell Powder/Epoxy Resin Composites