Associate Professor at Nanjing Normal University, China.
Dr. Wenchuan Lai (θ΅ζε·) is an accomplished researcher in materials science π¬, specializing in electrocatalysis, nanopore sensing, and functional nanomaterials. He has published numerous high-impact papers π in prestigious journals such as Nature Communications, Advanced Materials, and Angewandte Chemie. Currently, he serves as an Associate Professor π« at Nanjing Normal University, contributing to advanced research and mentorship. With experience at Max Planck Institute π©πͺ and Hunan University π¨π³, his work is widely recognized in the scientific community. His dedication to sustainable energy and nanomaterials innovation makes him a rising leader in the field. π
Professional profile:
Scopus
Suitability of Dr. Wenchuan Lai for the Best Researcher Award
Dr. Wenchuan Lai is a highly accomplished researcher in materials science, with a strong focus on electrocatalysis, nanopore sensing, and functional nanomaterials. His expertise in sustainable energy conversion and nanomaterials innovation has led to groundbreaking research contributions published in top-tier journals such as Nature Communications, Advanced Materials, and Angewandte Chemie. His extensive experience at prestigious institutions, including the Max Planck Institute and Hunan University, reflects his global impact and research excellence.
Education & Experience ππ¨βπ¬
- 2024 β Present | Nanjing Normal University | Associate Professor, Masterβs Supervisor ποΈ
- 2023 β Present | Nanjing Normal University | Distinguished Young Researcher, Special Research Fellow π
- 2023 β 2023 | Hunan University | Associate Researcher π¬
- 2021 β 2023 | Hunan University | Postdoctoral Fellow in Materials Science π§ͺ
- 2019 β 2020 | Max Planck Institute for Solid State Research | Visiting Ph.D. Researcher π©πͺ
- 2015 β 2020 | Sichuan University | Ph.D. in Materials Science π
- 2011 β 2015 | Sichuan University | B.Sc. in Polymer Materials & Engineering π
Professional Development ππ
Dr. Wenchuan Lai is at the forefront of research in electrocatalysis, COβ reduction, and nanomaterials. His contributions have significantly advanced sustainable energy conversion π and chemical sensor technologies. He has successfully led multiple national and university-funded projects π‘, emphasizing next-generation catalysts and energy-efficient reactions. As a mentor and educator, he plays a crucial role in nurturing young researchers π¨βπ«. His collaborations with top international institutions π have enriched his expertise, making him a recognized innovator in the scientific community.
Research Focus π¬β‘
Dr. Laiβs research primarily revolves around electrocatalysis and nanomaterials, with a strong emphasis on COβ electroreduction, hydrogen evolution, and nano-functional materials. π± His work aims to address global challenges in renewable energy β‘, carbon neutrality π, and advanced material design ποΈ. By developing efficient and stable catalysts, he contributes to sustainable chemical and energy conversion π. His studies also explore molecular sensing and functional interfaces, enhancing real-world applications like green energy production and environmental remediation. His innovative approaches make a lasting impact in clean energy and nanotechnology. π
Awards & Honors πποΈ
- National Natural Science Foundation (NSFC) Young Scientist Fund (2022-2024) π
- Outstanding Postdoctoral Innovation Talent, Hunan Province (2021-2023) π
- High-level Talent Recruitment, Nanjing Normal University (2023-Present) π
- Youth Academic Backbone, Nanjing Normal University (2024-2028) π¬
- Excellent Course Construction Award, Nanjing Normal University (2024-2026) π
- ESI Highly Cited Papers in Prestigious Journals π
- Invited Speaker at International Conferences π€
Publication Top Notes
- Approx-NoC: A Data Approximation Framework for Network-on-Chip Architectures (2017) β 99 citations π
- A Survey on Mixture of Experts (2024) β 72 citations π
- Coloring Big Graphs with AlphaGoZero (2019) β 56 citations π¨
- Active-Routing: Compute on The Way for Near-Data Processing (2019) β 42 citations π€οΈ
- Remote Control: A Simple Deadlock Avoidance Scheme for Modular Systems-on-Chip (2021) β 34 citations π
- Communication Algorithm-Architecture Co-Design for Distributed Deep Learning (2021) β 27 citations π€
- Packet Coalescing Exploiting Data Redundancy in GPGPU Architectures (2017) β 24 citations π¦
- ReViCe: Reusing Victim Cache to Prevent Speculative Cache Leakage (2020) β 23 citations π
- Fly-Over: A Light-Weight Distributed Power-Gating Mechanism for Energy-Efficient Networks-on-Chip (2017) β 15 citations ποΈ
- ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis (2023) β 14 citations π
- A Voting Approach for Adaptive Network-on-Chip Power-Gating (2021) β 14 citations π³οΈ
- Toward Taming the Overhead Monster for Data-flow Integrity (2021) β 12 citations π‘οΈ
- Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts (2024) β 8 citations π
- Computing En-Route for Near-Data Processing (2021) β 6 citations π£οΈ
- MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures (2021) β 5 citations π₯οΈ
- RvDfi: A RISC-V Architecture With Security Enforcement by High Performance Complete Data-Flow Integrity (2021) β 5 citations π
- POSTER: Fly-Over: A Light-Weight Distributed Power-Gating Mechanism for Energy-Efficient Networks-on-Chip (2016) β 5 citations πΌοΈ
- PREFENDER: A Prefetching Defender against Cache Side Channel Attacks as A Pretender (2024) β 2 citations π‘οΈ
- WHISTLE: CPU Abstractions for Hardware and Software Memory Safety Invariants (2022) β 2 citations π§©
- An Endeavor to Industrialize Hardware Fuzzing: Automating NoC Verification in UVM (2024) β 1 citation π οΈ