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

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

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

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

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Prof. Dr. Yuh-Chung Hu, National ILan University, Taiwan

Dr. Yuh-Chung Hu is a distinguished professor in the Department of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. He has dedicated over two decades to advancing mechanical engineering, specializing in vibrations, acoustics, and smart manufacturing systems. His innovative research integrates machine learning and advanced instrumentation, enhancing industrial applications. With a strong focus on interdisciplinary collaboration, Dr. Hu has authored numerous publications and contributed to various projects in the field. He is committed to fostering the next generation of engineers through mentorship and leadership roles within the academic community. His ongoing research aims to push the boundaries of technology in renewable energy integration, making significant strides in sustainable engineering practices.

Professional Profile

Orcid

Summary of Suitability for the Award

Dr. Yuh-Chung Hu is a distinguished academic and researcher in the field of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. His extensive educational background, including a Ph.D. in Mechanical Engineering, provides a solid foundation for his research endeavors. His career trajectory demonstrates a commitment to academic excellence, having held significant leadership positions such as Dean of the Office of Research and Development and Department Head.

🎓 Education

Dr. Yuh-Chung Hu earned his Ph.D. in Mechanical Engineering from National Taiwan University of Science and Technology in June 1999, with a dissertation on vibration theory for sandwich shells with a viscoelastic core. Prior to that, he obtained his Master of Engineering (M.E.) degree in the same field in June 1993, focusing on the effects of tire treads on vibration transmission in automobiles. His academic journey began with a Bachelor of Engineering (B.E.) in Mechanical Engineering from Chung Yuan Christian University in June 1991. Throughout his educational career, Dr. Hu studied under the guidance of esteemed mentors, including Prof. Shyh-Chin Huang, who played a crucial role in shaping his research interests and academic pursuits.

💼 Experience

Since February 2010, Dr. Hu has served as a professor at National Ilan University, where he has significantly influenced the field of mechanical and electromechanical engineering. He held leadership positions, including Dean of the Office of Research and Development from August 2015 to July 2016 and Department Head from August 2011 to July 2015. Prior to his tenure at National Ilan University, he served in various capacities at Huafan University, where he was involved in establishing and enhancing the Mechatronic Engineering department. Dr. Hu’s extensive experience encompasses a post-doctoral research role at the Institute of Applied Mechanics at National Taiwan University, allowing him to deepen his expertise in applied mechanics. His multifaceted career reflects a commitment to research, teaching, and institutional development.

🏅Awards and Honors

Dr. Yuh-Chung Hu has received numerous accolades throughout his academic career, recognizing his contributions to mechanical engineering and research. His achievements include prestigious awards from both national and international organizations, reflecting his influence in the engineering community. Notably, his innovative research has earned him recognition in multiple conferences and journals, highlighting his role in advancing knowledge in vibrations, machine learning, and renewable energy integration. His commitment to excellence in research and teaching has established him as a respected figure in his field, inspiring students and colleagues alike. Dr. Hu’s work not only contributes to academic advancement but also impacts industry practices through his applied research initiatives.

🌍 Research Focus

Dr. Hu’s research interests lie at the intersection of mechanical engineering and emerging technologies. His focus includes industrial instruments, smart machinery, machine learning applications, and micro-electro-mechanical systems (MEMS). He is particularly interested in developing thermal dispersion flowmeters and Coriolis mass flowmeters, which play crucial roles in various industrial processes. Additionally, his research delves into vibrations and acoustics, aiming to enhance the performance of mechanical systems. Through interdisciplinary collaborations, Dr. Hu explores innovative solutions to current challenges in engineering, with a dedicated emphasis on renewable energy integration, promoting sustainable practices in engineering applications. His work continues to pave the way for advancements in smart manufacturing and instrumentation.

📖 Publication Top Notes

Title: Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Title: Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions
Title: AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions
Title: A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Title: A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Assoc. Prof. Dr. Mariana Kasynets, Lviv Polytechnic National University, Ukraine

Mariana Kasynets is an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine. Born on September 24, 1987, in Lviv, she holds a Ph.D. and has over 12 years of experience in academia. A graduate of Lviv Polytechnic Institute in 2009, Dr. Kasynets has made notable contributions to her field, authoring a total of 70 scientific works, including 24 articles indexed in the Scopus database, with a Hirsch Index of H=8. Her research efforts focus on advancing knowledge in heat and gas supply systems.

Professional Profile:

Orcid

Suitability for the Research for Best Researcher Awards: Mariana Kasynets

Summary of Suitability

Mariana Kasynets is an exemplary candidate for the Research for Best Researcher Awards. Her extensive publication record, innovative research focus on ventilation and energy efficiency, and commitment to education and mentorship distinguish her as a leader in her field. Recognizing her with this award would not only honor her contributions but also encourage further advancements in sustainable building technologies, ultimately benefiting society by promoting healthier and more efficient living environments.

🎓Education:

In 2009, Mariana Kasynets graduated from Lviv Polytechnic Institute, earning a degree in higher education. She later pursued her Ph.D., specializing in areas related to heat and gas supply.

🏢Work Experience:

Mariana Kasynets has over 12 years of work experience and currently serves as an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine.

🏅Awards and Recognition:

Mariana Kasynets has authored a total of 70 scientific works, including 24 articles indexed in the Scopus database, demonstrating her significant contributions to her field. Her research impact is further reflected in her Hirsch Index of H=8.

Publication Top Notes:

  • Increasing the Efficiency of the Residential Buildings Premises Natural Ventilation
  • The Influence of the Interaction of Opposing Non-coaxial Round Jets on the Leakage Velocity Uniformity of the Resulting Air Flow
  • Enhancing of Efficiency of Solar Panels Combined with Buildings Coating
  • Mathematical Modeling of an Air Flow Leakage with the Jets Interaction at the Variable Mode

 

 

 

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

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