Alexandra Takou | Computer Science | Research Excellance Award

Published on by Award and Honors

 Dr. Alexandra Takou | Computer Science | Research Excellance Award

Post Doctoral Researcher | The University of  Thessaly | Greece

Dr. Alexandra Takou conducts research in hardware security, reliability-aware VLSI design, and fault-tolerant integrated circuits, with particular emphasis on hardware Trojans, electromagnetic and power grid based attacks, and soft error propagation mechanisms. Her work introduces sensitivity-aware and reliability-driven methodologies for Trojan design, placement, and security closure, addressing emerging threats in advanced semiconductor technologies. She has authored 5 peer-reviewed research documents published in reputable conferences and international journals, contributing novel approaches to EM-based attacks, SET-induced soft errors, and secure circuit design methodologies. Her publications have accumulated 7 citations, and she holds an h-index of 2, reflecting a focused and developing impact within the hardware security and electronic design automation research domains.

                        Citation Metrics (Scopus)

12

10

8

6

4

2

0

 

Citations
7
Documents
5
h-index
2

Citations

Documents

h-index

View Scopus Profile  View Google Scholar Profile View Research Gate Profile

Featured Publications

Zhen Yang | Computer Science | Best Researcher Award

Published on by Award and Honors

Assist. Prof. Dr. Zhen Yang | Computer Science | Best Researcher Award

Deputy Director | Jiangxi Science and Technology Normal University | China

Dr. Zhen Yang is an accomplished Associate Professor at the Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices, Jiangxi Science and Technology Normal University, China, with a strong background in automation and control engineering. He earned his B.S. in Automation from Changchun Institute of Technology, his M.S. in Control Theory and Control Engineering from Qingdao University of Science & Technology, and his Ph.D. in Control Science and Engineering from Shanghai Jiao Tong University, where he focused on integrating computational intelligence with control systems. Dr. Yang’s research bridges theory and practice in computer vision, machine learning, and remote sensing, with applications in crop disease and pest recognition, remote sensing image classification, and precision agriculture. He has led numerous research projects, supervised graduate students, and collaborated with academic and industry partners to develop intelligent monitoring systems and data-driven agricultural solutions. Recognized for his scholarly contributions, innovative mindset, and practical impact, Dr. Yang has received awards for his research excellence and technological innovations. His work exemplifies the integration of advanced algorithms with real-world applications, addressing environmental monitoring, sustainable agriculture, and intelligent system design, establishing him as a leading figure in his field.

Profile : ORCID 

Featured Publications

Yang, Z., et al. (2021). Deep learning for crop disease recognition in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing. (Cited by 45)

Yang, Z., et al. (2020). Intelligent pest detection using convolutional neural networks. Computers and Electronics in Agriculture. (Cited by 38)

Yang, Z., et al. (2019). Remote sensing image classification with machine learning techniques. Remote Sensing. (Cited by 52)