Prof. Yan Li | Electronics | Best Researcher Award

Associate Professor at Fudan University, China

Prof. Yan Li is an accomplished Associate Professor at Fudan University, with a strong background in Electrical Engineering and Integrated Circuits, earning his Ph.D. from Karlsruhe Institute of Technology 🎓. His research focuses on high-reliable integrated circuit design and dependable AI, addressing challenges in harsh environments 🔧💡. He has made significant contributions to soft-error-tolerant circuits, pioneering solutions that span circuit-level to EDA algorithms. 📈 His leadership is evident in high-impact publications and mentoring of emerging researchers 🌟. Prof. Li has secured competitive funding, including the Youth Fund of the National Natural Science Foundation of China and Shanghai Pujiang Program 💼. Recognized as a Shanghai Pujiang Talent and Super Postdoctoral Fellow, He stands out as a top-tier researcher and innovator in the field of reliable microelectronics.

Professional Profile

Google Scholar

Education 🎓

Prof. Yan Li’s educational journey reflects his strong academic foundation in Electrical Engineering and Microelectronics. He earned his Ph.D. at the Karlsruhe Institute of Technology, Germany, where he honed his expertise in integrated circuit design and reliability. Complementing this, he completed her M.S. in Integrated Circuit Engineering and B.S. in Electronic Information Engineering at Fudan University and Northeastern University, respectively. 📘 His academic path equipped his with both theoretical knowledge and hands-on skills, bridging European and Chinese engineering education traditions. This diverse educational background empowers his interdisciplinary approach, blending rigorous hardware research with emerging AI applications 🔍. Prof. Li’s education serves as a solid platform for his innovative research, fostering both creativity and precision in addressing the challenges of modern microelectronics and robust computing systems. 🌐

Professional Experience 💼

Prof. Yan Li’s professional journey is marked by progressive roles at Fudan University, where he currently serves as an Associate Professor at the State Key Laboratory of Integrated Chips and Systems. 👩‍🏫 From 2022 to 2024, he was a Postdoctoral Fellow, deepening his expertise in soft-error mitigation and robust circuit design. His leadership extends beyond academia, mentoring numerous master’s and Ph.D. students, many of whom have transitioned into roles in academia, startups, and industry 🧑‍🎓. He also contributes as a reviewer for prestigious journals like IEEE JSSC and TCAS, shaping the scholarly discourse. Prof. Li’s professional experience showcases his ability to integrate teaching, research, and service, reinforcing his reputation as a dedicated researcher and mentor committed to advancing reliable microelectronics.

Research Interest 🔍

Prof. Yan Li’s research interests lie at the intersection of high-reliable integrated circuit design and dependable AI systems, addressing critical challenges in harsh operational environments 🚀. He focuses on developing digital circuits that maintain performance under radiation and transient faults, pioneering solutions like soft-error-tolerant architectures and hardened latches 🛠️. Prof. Li also bridges hardware reliability and AI robustness by proposing cross-layer his that span from circuits to algorithms, aiming to enhance the dependability of AI/ML systems under uncertain or adversarial conditions 🤖. His interdisciplinary approach not only advances fundamental design but also supports practical deployment of robust systems in aerospace, automotive, and mission-critical applications. His work positions his as a leader in creating reliable and efficient circuits for the next generation of electronics. 🌟📈

Awards and Honors 🏅

Prof. Yan Li’s excellence has been recognized through numerous awards and honors, underscoring his impact on the field of microelectronics. He was named a Shanghai Pujiang Talent in 2022, a prestigious recognition highlighting his contributions to technological innovation in China 🌟. He also received the Super Postdoctoral Fellowship from Fudan University, reflecting his exceptional postdoctoral research performance 🏆. His dedication to academic excellence was further recognized with the Shanghai Outstanding Graduates (top 5%) and the National Scholarship (top 5%) in 2021 🎖️. These accolades, coupled with competitive funding from the National Natural Science Foundation of China and Shanghai Pujiang Program, showcase his as a highly respected researcher and mentor. His honors celebrate both her technical achievements and her commitment to mentoring the next generation of engineers. 👩‍🎓

Research Skills 🧩

Prof. Yan Li possesses a rich skill set in advanced integrated circuit design, focusing on robust and reliable solutions for soft-error tolerance and radiation-hardened applications 🔧. He excels in developing multi-objective optimization frameworks using Bayesian optimization and machine learning techniques, balancing design trade-offs effectively 🤖. His skills extend to Electronic Design Automation (EDA), where He leverages cutting-edge methodologies to enhance digital circuit reliability and performance. Prof. Li’s expertise also includes designing hardened latches, flip-flops, and combinational circuits, demonstrating versatility from device-level design to system-level integration 🛠️. He adeptly mentors young researchers, guiding them in both technical and academic growth. His comprehensive skill set positions his as a leader in innovative circuit design for dependable systems in critical applications. 🚀📚

Publications Top Note 📝

Title: A robust hardened latch featuring tolerance to double-node-upset in 28nm CMOS for spaceborne application
Authors: Y. Li, X. Cheng, C. Tan, J. Han, Y. Zhao, L. Wang, T. Li, M.B. Tahoori, X. Zeng
Year: 2020
Citations: 31
Source: IEEE Transactions on Circuits and Systems II: Express Briefs, 67(9), 1619–1623
Title: A non-redundant latch with key-node-upset obstacle of beneficial efficiency for harsh environments applications
Authors: Y. Liu, Y. Li, X. Cheng, J. Han, X. Zeng
Year: 2023
Citations: 17
Source: IEEE Transactions on Circuits and Systems I: Regular Papers, 70(4), 1639–1648
Title: General Efficient TMR for Combinational Circuit Hardening Against Soft Errors and Improved Multi-objective Optimization Framework
Authors: C. Tan, Y. Li, X. Cheng, J. Han, X. Zeng
Year: 2021
Citations: 10
Source: IEEE Transactions on Circuits and Systems I: Regular Papers
Title: A Multi-objective Optimization Framework to Design Soft-Error-Immune Circuit
Authors: Y. Li, J. Han, Y. Han, X. Zeng, X. Zeng
Year: 2019
Citations: 6
Source: 2019 European Conference on Radiation and its Effects on Components and Systems (RADECS)
Title: Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit
Authors: Y. Li, X. Zeng, Z. Gao, L. Lin, J. Tao, J. Han, X. Cheng, M.B. Tahoori, X. Zeng
Year: 2020
Citations: 5
Source: 2020 57th ACM/IEEE Design Automation Conference (DAC), 1–6
Title: DMBF: Design Metrics Balancing Framework for Soft-Error-Tolerant Digital Circuits Through Bayesian Optimization
Authors: Y. Li, C. Chen, X. Cheng, J. Han, X. Zeng
Year: 2023
Citations: 3
Source: IEEE Transactions on Circuits and Systems I: Regular Papers
Title: 面向商业航天卫星成本效益的三模冗余软错误防护技术: 近似计算的实践 (Triple Modular Redundancy Soft Error Protection for Commercial Space Satellites: Approximate Computing Practice)
Authors: Y. Li, Y.M. Hu, X.Y. Zeng
Year: 2024
Citations: 1
Source: 电子与信息学报, 46, 1–9
Title: TRIGON: A Single-phase-clocking Low Power Hardened Flip-Flop with Tolerance to Double-Node-Upset for Harsh Environments Applications
Authors: Y. Li, J. Han, X. Zeng, M.B. Tahoori
Year: 2021
Citations: 1
Source: 2021 Design, Automation and Test in Europe Conference (DATE)
Title: Examining the role of tap cell in suppressing single event transient effect in 28-nm CMOS technology
Authors: C. Zhang, Y. Li, W. Zhan, W. Geng, T. Liang, X. Zeng
Year: 2024
Source: Microelectronics Journal, 143, 106055
Title: Research on multi-objective optimization of radiation hardened integrated circuits based on “BP NSGA-III” optimization architecture
Authors: H. Huang, Y. Li, L. Wang, C. Liu, Y. Zhao
Year: 2023
Source: 5th International Conference on Radiation Effects of Electronic Devices
Title: Research on anti single event transient multi-objective optimization technology based on sensitive flip-flop replacement
Authors: H. Huang, Y. Zhao, L. Wang, C. Liu, Y. Li
Year: 2023
Source: Second International Conference on Digital Society and Intelligent Systems
Title: An Improved Multi-Objective Optimization Framework for Soft-Error Immune Circuits
Authors: S. Chu, Y. Li, X. Cheng, X. Zeng
Year: 2022
Source: 2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
Title: Multi-objective Optimization Hardening Design for Multiplier Circuit
Authors: C. Chen, Y. Li, X. Cheng, J. Han, X. Zeng
Year: 2022
Source: 2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)
Title: Impact of Tap Cell on Single Event Transient in 28-nm CMOS Technology
Authors: C. Zhang, C. Tan, Y. Li, X. Cheng, J. Han, X. Zeng
Year: 2022
Source: 2022 European Conference on Radiation and its Effects on Components and Systems (RADECS)
Title: Pulse Quenching Effect Characterized by Inverter Chains under Heavy-ion Irradiation in 28-nm CMOS Technology
Authors: C. Tan, Y. Li, S. Chu, R. Chen, X. Cheng, J. Han, X. Zeng
Year: 2022
Source: 2022 European Conference on Radiation and its Effects on Components and Systems (RADECS)

Conclusion 💡

In conclusion, Prof. Yan Li emerges as an outstanding researcher and mentor in the field of reliable microelectronics. His robust educational background, dynamic professional experience, and interdisciplinary research in high-reliability circuits and dependable AI systems position his at the forefront of his field 🌐. His impressive portfolio of publications, mentorship, and service to the academic community underscores his dedication to advancing the state of the art while nurturing the next generation of engineers 👩‍🏫. Prof. Li’s combination of technical excellence, research innovation, and leadership qualities makes his a deserving candidate for the Best Researcher Award, embodying both academic brilliance and transformative impact on the broader microelectronics landscape. 🏅🔬

Kais Iben Nassar | Electronics | Best Researcher Award

Kais Iben Nassar , University of Aveiro, Portugal

Dr. Kais Iben Nassar 🎓 is a passionate physicist and materials scientist specializing in Condensed Matter Physics and Computational Chemistry 🧪🧬. He earned his Ph.D. 🎓 in 2021 through a joint program between the University of Aveiro 🇵🇹 and University of Sfax 🇹🇳, achieving the highest honors 🏅. Kais has published 20+ research articles 📚 and presented at 10 international conferences 🌍. His expertise spans 2D materials, MXenes, machine learning 🤖, and nano-materials. As a postdoctoral researcher at CICECO-Aveiro Institute, he advances materials science for energy, electronics ⚡🔋, and catalysis applications. Kais is also a reviewer, editor, and COST Action CA22123 member 🤝.

Professional profile :

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Summary of Suitability :

Strengths:

Prolific Research Output: Dr. Nassar has authored over 20 peer-reviewed articles and presented at 10 international conferences, demonstrating a consistent and impactful research trajectory.
Interdisciplinary Expertise: His work spans condensed matter physics, computational chemistry, 2D materials, and machine learning, showcasing his ability to integrate diverse scientific domains.
Innovative Methodologies: Utilizing density functional theory and machine learning, he has advanced the understanding of material properties at the atomic level, contributing to the development of novel materials for energy and electronic applications.

Areas of Interest:

2D Materials and MXenes: Investigating the properties and applications of two-dimensional materials, particularly MXenes, for use in energy storage and catalysis.
Perovskite Ceramics: Exploring the synthesis and characterization of perovskite ceramics, focusing on their structural, dielectric, and electrical properties.
Sensor Development: Developing sensitive and selective sensors for detecting environmental pollutants, leveraging his expertise in material science and nanotechnology.

Education & Experience :

🎓 Education:

📘 Ph.D. in Physics of Condensed Materials – University of Aveiro 🇵🇹 & University of Sfax 🇹🇳 (Dec 22, 2021) 🏅
📗 Master’s in Condensed Matter Physics – University of Sfax (Dec 8, 2018)
📙 Fundamental License in Physics-Chemistry – University of Sfax (Jun 9, 2016)

🧪 Experience:

🧑‍🔬 Postdoctoral Researcher – CICECO-Aveiro Institute of Materials, University of Aveiro
🌐 Erasmus Intern – University of Aveiro (2020–2021)
🇩🇪 Internship – Chemnitz University of Technology, Germany (2019)
✍️ Published 20 journal articles and delivered 10 talks/posters
🧑‍💻 Peer reviewer for RSC Advances, European Physics Plus, Sol-Gel Science & Technology
📖 Editorial board member – Annals of Mathematics and Physics

Professional Development :

Dr. Kais Iben Nassar’s professional journey 🌍 reflects a strong commitment to interdisciplinary research, collaboration, and scientific excellence 🧠. His involvement in the COST Action CA22123 🌐 connects him with the European Materials Acceleration Center for Energy (EU-MACE), promoting frontier research in energy-related materials 🚀. Kais actively contributes to the academic community through peer reviewing 📝 and editorial roles 📚. His international training in Portugal 🇵🇹 and Germany 🇩🇪 enriched his cross-cultural scientific perspective. He consistently integrates machine learning 🤖 and density functional theory 🧮 in materials design, making impactful contributions to renewable energy, catalysis, and electronics research ⚡🔋.

Research Focus :

Dr. Kais Iben Nassar’s research 🧪 centers on Condensed Matter Physics, Computational Chemistry, and Materials Science, with a special focus on 2D materials, such as MXenes, and Perovskite ceramics ⚛️. He explores molecule-surface interactions 🔬 using Density Functional Theory (DFT), and applies Machine Learning 🤖 to predict materials’ catalytic and electronic potential. His expertise includes nano-materials, magnetic/electrical characterization, and impedance spectroscopy. Kais’s work supports innovations in solar cells, energy storage, catalysts, and electronics 🔋⚡. Passionate about bridging theory and application, he contributes to designing smarter materials for sustainable technologies and next-gen devices 🌱💡.

Awards & Honors :

🏅 Awards & Recognitions:

🥇 Graduated with highest honors in Ph.D. program (2021)
🌍 Selected member of COST Action CA22123 (EU-MACE, 2023–2027)
📚 Editorial board member – Annals of Mathematics and Physics
🏆 Active peer reviewer for prestigious journals like RSC Advances and Journal of Sol-Gel Science and Technology
🌐 Recipient of Erasmus internship awards (2020 & 2021)

Publication Top Notes :

Title: Crystal structural characteristics and optical and electrical properties of Bi-doped (Ba₀.₈Sr₀.₂)(Ti₀.₈₅Zr₀.₁₅)O₃ perovskite ceramics

Citation:
Ramzi Dhahri, Faouzia Tayari, Amel Haouas, Hussain J. Alathlawi, Hasan B. Albargi, Elkenany Brens Elkenany, A. M. Al-Syadi, Navdeep Sharma, Madan Lal, Kais Iben Nassar.
Journal of Materials Science: Materials in Electronics, February 2025.
DOI: 10.1007/s10854-025-14411-z

Conclusion:

Dr. Kais Iben Nassar’s extensive research contributions, interdisciplinary approach, and innovative methodologies make him a strong candidate for the Best Researcher Award. His work not only advances fundamental scientific knowledge but also has practical implications for developing advanced materials and technologies.

Yan Li | Electronics | Best Researcher Award | 4047