Da Wan | Nanotechnology | Research Excellence Award

Prof. Da Wan | Nanotechnology | Research Excellence Award

Wuhan University of Science and Technology | China

Da Wan is an Associate Professor at Wuhan University of Science and Technology, specializing in advanced nanoelectronics and emerging information device technologies. His research focuses on the design, fabrication, and performance optimization of high-performance nanoelectronic devices based on novel two-dimensional semiconductors and metal oxide materials. He has established a strong academic profile through impactful contributions to leading international journals, publishing several high-quality SCI papers as both first and corresponding author. His work appears in prestigious outlets such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Applied Physics Letters, Nanoscale, and Journal of Physics D. In addition, he has contributed collaboratively to numerous publications in top-tier journals, including Angewandte Chemie, Advanced Functional Materials, Small, and ACS Applied Materials & Interfaces, reflecting his active engagement in cutting-edge materials and device research.

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Featured Publications


Rational Fabrication of Dual-Channel Layered InGaSnO Thin-Film Transistors Through High-/Low-Power Sputtering Technique

– IEEE Transactions on Electron Devices

MoTe2/MoSe2 vdW Schottky Photodetector for Polarized Photodetection

– Chip

Enhancing the Electrical Performance and Stability of Hf-Doped InZnO Thin Film Transistors Using Dual-Target Co-Sputtering Technique

– Applied Physics Letters

Effects of Different Contents Yttrium Doping on the Electrical Performance and Stability of Bilayer IZO/IYZO Thin-Film Transistors

– Applied Physics Letters

Anjan Kumar reddy Ayyadapu | Computer science | Excellence in Research Award

Mr. Anjan Kumar Reddy Ayyadapu | Computer science | Excellence in Research Award

Cloudera | United States

Anjan Kumar Reddy Ayyadapu is a seasoned Cloud Solution Architect specializing in big data, artificial intelligence, and cybersecurity. Currently working at Cloudera, Inc., he brings extensive expertise in Hadoop ecosystems, machine learning, and secure cloud infrastructure. His professional journey includes roles at Amazon Web Services, IBM, and Wipro, where he contributed to enterprise-scale solutions and cloud innovation. He holds a Master’s degree in Electrical Engineering and a Bachelor’s degree in Electronics and Communication Engineering. An active researcher, he has published multiple articles and holds a patent focused on AI-driven cloud security. His work emphasizes integrating machine learning with cryptographic techniques to enhance data protection and optimize incident response in modern cloud environments.

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Featured Publications


Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce


– International Conference on Computing Technologies & Data Communication

AVE Trends in Intelligent Computer Letters


– Research Contribution

Scalable Machine Learning Approaches for Real-Time Big Data Processing in IoT Networks


– AVE Trends in Intelligent Computing Systems

A Hybrid Machine Learning Model for Predictive Analytics in Big Data Frameworks


– AVE Trends in Intelligent Computing Systems

Deep Learning Models for Predictive Maintenance in Industrial IoT with Big Data Support


– FMDB Transactions on Sustainable Intelligent Networks