Vinit Katariya | Deep Learning | Best Researcher Award

Posted on by Academic achievements

Dr. Vinit Katariya | Deep Learning | Best Researcher Award

Post Doctoral Researcher | University of North Carolina at Charlotte | United States

Short Bio 🌐

Vinit Katariya is a Machine Learning Researcher based in Charlotte, NC. His expertise spans machine learning modeling and algorithm design, with a focus on Python, C, and frameworks like PyTorch. He is dedicated to solving complex, large-scale problems with real-world impact.

Profile

Google Scholar

Education πŸ“š

Vinit Katariya earned his Doctor of Philosophy in Electrical Engineering from the University of North Carolina at Charlotte in December 2023, under the guidance of Dr. Hamed Tabkhi. His research focused on innovative applications of deep learning in transportation and IoT systems.

Experience πŸ’Ό

As a Postdoctoral Researcher at UNC Charlotte, Vinit leads projects on speed estimation and smart city solutions, collaborating with international teams to enhance real-world video analytics and transportation efficiency.

Research Interest 🧠

Vinit Katariya’s research interests include deep learning applications in transportation safety, IoT edge computing, and anomaly detection using AI frameworks on embedded platforms.

Awards πŸ†

  • Best Demo Award – ICCPS 2023
  • UNC Charlotte Graduate School Summer Scholarship – May 2022

Publications πŸ“„

Vinit Katariya has co-authored articles in high-impact journals and conferences, including:

 

 

 

Rui Zhang | Natural Language Processing| Best Paper Award

Posted on by Academic achievements

Mrs.Rui Zhang | Natural Language Processing| Best Paper Award

Zhang Rui is a dedicated researcher currently pursuing a doctoral degree in Computer Software and Theory at the University of Chinese Academy of Sciences. With a solid foundation in Information Management and Systems from Xi’an University of Architecture and Technology, Zhang specializes in Python programming and advanced machine learning frameworks like Pytorch. His research focuses on natural language processing, automatic text intelligence, and innovative applications such as code comment generation and program repair. Zhang has contributed significantly to scientific data management and analysis, with published papers and extensive project leadership experience in constructing digital platforms for data integration and knowledge sharing.

Profiles

Scopus

πŸŽ“Educational Background 

2018.9-Present: Pursuing doctoral studies in Computer Software and Theory at the University of Chinese Academy of Sciences. 2014.9-2018.7: Completed undergraduate studies in Information Management and Information Systems at Xi’an University of Architecture and Technology.

 πŸ–₯️Professional Skills

Proficient in Python, with expertise in machine learning and deep learning frameworks including Pytorch. Specializes in natural language processing, automatic text intelligence, code comment generation, and automatic program repair.

πŸ“ Academic Contributions 

Published Papers: Internationally recognized contributions in text summarization, code generation, and data management across various domains of resource science and technology.Intern Experience: Hands-on involvement in image processing interfaces, data management, and analysis for scientific applications.

πŸ† Awards and Recognitions 

Awarded multiple prizes for academic excellence and innovation, including top honors in mathematical modeling competitions and scholarships for outstanding performance.

🌟 Self-Evaluation 

Demonstrates keen insight, a relentless pursuit of knowledge, innovative spirit, effective communication, and strong teamwork skills.

Publications

Design of an Isolated Circuit Breaker with Robust Interruption Capability for DC Microgrid Protection

Authors: Xu, X., Chen, W., Zhang, S., Li, Z., Zhang, B.

Journal: IEEE Transactions on Industrial Electronics, 2021, 68(12), pp. 12408–12417

Exploring a particle-size-reduction strategy of YAG phosphor via a chemical breakdown method

Authors: Chen, H., Ju, L., Zhang, L., Qiu, K., Yin, L.

Journal: Journal of Rare Earths, 2021, 39(8), pp. 938–945

Short-Circuit Capability Prediction and Failure Mode of Asymmetric and Double Trench SiC MOSFETs

Authors: Deng, X., Li, X., Li, X., Li, Z., Zhang, B.

Journal: IEEE Transactions on Power Electronics, 2021, 36(7), pp. 8300–8307

Enhancement of defect detectability in pneumatic pressure equipment using an automatic detection technique in ECPT

Authors: Zhang, B., Cheng, Y., Yin, C., Chen, K., Malek, H.

Journal: Journal of Testing and Evaluation, 2021, 49(1), JTE20180724

Improved Model on Buried-Oxide Damage Induced by Total-Ionizing-Dose Effect for HV SOI LDMOS

Authors: Yuan, Z., Qiao, M., Li, X., Li, Z., Zhang, B.

Journal: IEEE Transactions on Electron Devices, 2021, 68(4), pp. 2064–2070

An analytical model on the gate control capability in p-GaN Gate AlGaN/GaN high-electron-mobility transistors considering buffer acceptor traps

Authors: Wang, F., Chen, W., Sun, R., Zhou, Q., Zhang, B.

Journal: Journal of Physics D: Applied Physics, 2021, 54(9), 095107

A low turn-on voltage AlGaN/GaN lateral field-effect rectifier compatible with p-GaN gate HEMT technology

Authors: Wang, F., Chen, W., Wang, Z., Zhou, Q., Zhang, B.

Journal: Semiconductor Science and Technology, 2021, 36(3), 034004

Hybrid silica-carbon bilayers anchoring on FeSiAl surface with bifunctions of enhanced anti-corrosion and microwave absorption

Authors: Tian, W., Zhang, X., Guo, Y., Jian, X., Deng, L.

Journal: Carbon, 2021, 173, pp. 185–193

Voltage Coupling Enhancement for Transient Gate Overvoltage Suppression of Insulated Gate Trigger Thyristor in Ultrahigh di/dt Pulse Applications

Authors: Liu, C., Chen, W., Sun, R., Li, Z., Zhang, B.

Journal: IEEE Transactions on Power Electronics, 2021, 36(3), pp. 3346–3353

Surface passivation of applying an organic-inorganic hybrid coatings toward significantly chemically stable iron powder

Authors: Zhang, L., Zheng, Q., Yin, L., Xie, J., Deng, L.

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2021, 610, 125910