Yuxiang Zhang | Power Devices | Best Researcher Award

Mr. Yuxiang Zhang | Power Devices | Best Researcher Award

Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-tech and Nano-bionics, China

Mr. Yuxiang Zhang is a dedicated researcher specializing in GaN-based power semiconductor devices, with expertise in fabrication technology, electrical characterization, and device optimization. His research primarily focuses on AlGaN/GaN heterojunctions and P-GaN HEMTs, where he has developed innovative low-damage etching processes, metal-free ohmic contacts, and self-aligned gate etching techniques. Currently, he is working at the Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences, contributing to advanced semiconductor processing and reliability improvements. With a strong technical background in semiconductor manufacturing, electrical testing, and simulation, he has accumulated extensive hands-on experience in cleanroom environments. Beyond technical expertise, he has demonstrated leadership skills through student roles and has received multiple awards for academic excellence. His commitment to innovation, problem-solving, and collaboration makes him a strong candidate for research awards. He aims to advance semiconductor technology by bridging theoretical research with practical applications in power electronics, RF devices, and energy-efficient semiconductor solutions.

Professional Profile

Education

Mr. Yuxiang Zhang holds a Master’s Degree in Electronic Information from Hangzhou Dianzi University, where he specializes in power semiconductor devices and fabrication technologies. He began his academic journey with a Bachelor’s Degree in IoT Engineering from Jiangsu University of Technology, focusing on semiconductor physics, circuit design, and microelectronics. His educational background has provided him with a strong foundation in semiconductor manufacturing, electrical characterization, and device reliability assessment. During his studies, he has conducted cutting-edge research on AlGaN/GaN heterojunctions, P-GaN HEMTs, and advanced etching processes, enhancing his expertise in fabrication and process optimization. In addition to his research, he has actively engaged in academic leadership roles, demonstrating teamwork, communication, and problem-solving skills. His education has shaped him into a highly skilled researcher with both theoretical knowledge and practical experience, preparing him for a promising career in semiconductor technology and power electronics.

Professional Experience

Mr. Yuxiang Zhang has accumulated extensive research and industry experience in semiconductor fabrication and device characterization. Since August 2023, he has been working as a researcher at the Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences, where he develops low-damage etching techniques, self-aligned gate-first etching processes, and reliability optimization methods for GaN-based power devices. Before joining SINANO, he conducted research at Hangzhou Dianzi University, focusing on P-GaN HEMTs reliability, plasma treatment techniques, and gate structure enhancements. His hands-on experience includes photolithography, etching, ion implantation, thin-film deposition, and electrical characterization, making him highly proficient in semiconductor processing. He also worked as an intern at Jiangsu University of Technology’s Semiconductor Fabrication Lab, where he gained expertise in material analysis, device testing, and failure analysis. His professional background reflects a strong technical foundation, research innovation, and practical problem-solving abilities, positioning him as a rising expert in semiconductor technology.

Research Interests

Mr. Yuxiang Zhang’s research interests focus on GaN-based semiconductor devices and advanced fabrication technologies. His primary area of expertise lies in AlGaN/GaN heterojunction power devices, where he explores low-damage etching techniques, metal-free ohmic contact formation, and self-aligned gate-first etching processes to improve device efficiency and reliability. He is also deeply involved in P-GaN HEMTs research, investigating plasma treatment methods, gate reliability improvements, and threshold voltage stability enhancements. Additionally, he has a strong interest in semiconductor processing innovations, including dry etching, wet etching, and plasma-assisted treatments. His research also extends to device simulation and modeling, utilizing TCAD tools to analyze device behavior, failure mechanisms, and performance optimization strategies. By integrating theoretical knowledge with practical applications, he aims to contribute to the development of next-generation power electronics and RF semiconductor devices that offer higher efficiency, lower power loss, and improved reliability.

Research Skills

Mr. Yuxiang Zhang possesses a diverse and advanced set of research skills in semiconductor technology, device fabrication, and electrical characterization. His expertise includes photolithography, ion implantation, thin-film deposition, dry and wet etching, and plasma-assisted processing, making him highly proficient in fabrication techniques. In device characterization and testing, he has experience with static I-V and C-V measurements, gate reliability testing, time-dependent failure analysis (TTF, FPE), and leakage current assessments, enabling him to analyze device performance and reliability effectively. He is also skilled in semiconductor simulation and modeling, utilizing L-Edit and TCAD simulations to study device behavior and optimize fabrication processes. Furthermore, he has extensive knowledge in advanced material analysis techniques, including SEM, XRD, AFM, SIMS, FIB, and EDS, allowing for precise structural and compositional analysis of semiconductor materials. His strong problem-solving abilities, technical innovation, and hands-on experience in semiconductor research make him a highly capable researcher in the field of power electronics.

Awards and Honors

Mr. Yuxiang Zhang has been recognized for his outstanding academic performance and research contributions in semiconductor technology. He has received multiple academic scholarships for excellence in semiconductor research and coursework, demonstrating his strong theoretical knowledge and technical expertise. He was awarded the Outstanding Researcher Award at Hangzhou Dianzi University for his significant contributions to GaN-based power devices. Additionally, he has been recognized for his excellence in semiconductor fabrication at SINANO, where he played a key role in developing self-aligned etching techniques and reliability optimization processes. He has also received leadership recognition for his active participation in student organizations, highlighting his teamwork, communication, and organizational skills. His dedication to advancing semiconductor technology and power electronics has earned him a reputation as a highly skilled and innovative researcher, making him a strong contender for prestigious research awards.

Conclusion

Mr. Yuxiang Zhang is a highly skilled and innovative researcher specializing in GaN-based semiconductor devices and advanced fabrication technologies. His expertise in low-damage etching, metal-free ohmic contacts, and self-aligned gate-first etching has contributed to significant advancements in power semiconductor devices. With extensive hands-on experience in cleanroom fabrication, electrical characterization, and device optimization, he has demonstrated strong technical capabilities and research excellence. His ability to integrate theoretical research with practical applications makes him a valuable asset in the field of power electronics and semiconductor technology. Beyond his technical expertise, he has showcased leadership, teamwork, and problem-solving abilities, making him a well-rounded researcher. Moving forward, his focus on high-impact publications, interdisciplinary collaborations, and technology commercialization will further establish him as a leading expert in semiconductor research. His dedication to innovation, efficiency, and reliability improvements positions him as a worthy candidate for the Best Researcher Award, with the potential to make groundbreaking contributions to next-generation semiconductor technology.

 

Deependra Singh | Power Systems | Best Researcher Award

Prof. Deependra Singh | Power Systems | Best Researcher Award

Professor, Kamla Nehru Institute of Technology Sultanpur, India

Prof. Deependra Singh is an esteemed academic affiliated with Kamla Nehru Institute of Technology in Sultanpur, India. With a background in engineering and technology, he has made significant contributions to his field through both teaching and research. His expertise spans various aspects of engineering, and he is known for his dedication to advancing education and fostering innovation. Prof. Singh’s work often involves collaboration with industry and academia, reflecting his commitment to bridging the gap between theoretical knowledge and practical application.

Profile

📚Education

     Ph.D. (2009): Dr. A.P.J. Abdul Kalam Technical University

     M.E. (1999): University of Roorkee (now known as IIT Roorkee)

     B.Tech. (1997): Harcourt Butler Technical University (HBTI) Kanpur

💼Professional Experience

Prof. Deependra Singh has been serving as a Professor in the Department of Electrical Engineering at Kamla Nehru Institute of Technology, Sultanpur, since 2000. His role involves teaching, research, and contributing to the academic development of the department and the institution.

🔬 Research Contribution

  • Research Papers: Published papers in peer-reviewed journals and conferences, often detailing his areas of expertise and research findings.
  • Research Projects: Participation in or leading significant research projects, possibly funded by government agencies, industry partners, or internal grants.
  • Thesis Supervision: Supervision of graduate and doctoral students, guiding them in their research work.
  • Collaborations: Collaborations with other researchers, institutions, or industry on various research initiatives.
  • Innovations and Patents: Development of new technologies, methodologies, or inventions, and any patents filed or granted.
  • Conferences and Workshops: Organization or participation in conferences, workshops, or seminars, where he might present his research and contribute to academic discussions.

🏆 Award and Honor

  • Academic Excellence Awards: Recognition for outstanding contributions to teaching and research in his field.
  • Research Grants: Awards from funding agencies for significant research projects or proposals.
  • Best Paper Awards: Honors for exceptional research papers presented at conferences or published in journals.
  • Professional Society Awards: Recognition from professional engineering or academic societies for contributions to the field.
  • Teaching Awards: Awards acknowledging excellence in teaching and mentorship.
  • Fellowships and Memberships: Election to prestigious academic or professional fellowships.

✍️ Publication Top Notes: Power System 

Multiobjective Optimization for DG Planning with Load Models
D Singh, D Singh, KS Verma
IEEE Transactions on Power Systems, 24(1), 427-436 (2009)
This paper addresses multiobjective optimization strategies for the planning of distributed generation (DG) systems, incorporating various load models.

Multilevel Inverters: A Literature Survey on Topologies and Control Strategies
N Mittal, B Singh, SP Singh, R Dixit, D Kumar
2012 2nd International Conference on Power, Control and Embedded Systems, 1-11 (2012)
A comprehensive survey on the topologies and control strategies of multilevel inverters.

Grid-Integrated Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems: A Technology Review
SM Tripathi, AN Tiwari, D Singh
Renewable and Sustainable Energy Reviews, 51, 1288-1305 (2015)
A review of technology related to grid-integrated wind energy systems using permanent magnet synchronous generators.

GA Based Optimal Sizing & Placement of Distributed Generation for Loss Minimization
D Singh, D Singh, KS Verma
International Journal of Electrical and Computer Engineering, 2(8), 556-562 (2007)
This paper explores genetic algorithm-based methods for the optimal sizing and placement of distributed generation to minimize losses.

Optimum Design of Proportional–Integral Controllers in Grid–Integrated PMSG-Based Wind Energy Conversion System
SM Tripathi, AN Tiwari, D Singh
International Transactions on Electrical Energy Systems, 26(5), 1006-1031 (2016)
Focuses on the design of proportional-integral controllers for wind energy systems integrated with permanent magnet synchronous generators.

GA Based Energy Loss Minimization Approach for Optimal Sizing & Placement of Distributed Generation
D Singh, D Singh, KS Verma
International Journal of Knowledge-Based and Intelligent Engineering Systems (2008)
Another study utilizing genetic algorithms to optimize the sizing and placement of distributed generation for reducing energy losses.

GA-Based Congestion Management in Deregulated Power System Using FACTS Devices
D Singh, KS Verma
2011 International Conference & Utility Exhibition on Power and Energy (2011)
Examines congestion management in deregulated power systems with the aid of Flexible AC Transmission Systems (FACTS) devices.

A Novel Approach for Optimal Placement of Distributed Generation & FACTS Controllers in Power Systems: An Overview and Key Issues
B Singh, KS Verma, D Singh, SN Singh
International Journal of Reviews in Computing, 7 (2011)
Provides an overview and discusses key issues related to the optimal placement of distributed generation and FACTS controllers in power systems.

Distributed Generation Planning Strategy with Load Models in Radial Distribution System
D Singh, D Singh, KS Verma
International Journal of Computer and Electrical Engineering, 1(3), 362-375 (2009)
Discusses strategies for planning distributed generation with various load models in radial distribution systems.

Investigation of Transient Performance of VSI-Fed IM Drives Using Volts/Hz and Vector Control Techniques
(Publication details are incomplete, but this likely covers transient performance analysis in Variable Speed Induction Motor drives using specific control techniques.)