Prof Jumin Zhao | Internet of things | Best Researcher Award |

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Prof. Jumin Zhao | Internet of things | Best Researcher Award.

Taiyuan university of technology,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Prof. Jumin Zhao is a distinguished academic at Taiyuan University of Technology, serving as a professor at the College of Electronic Information and Optical Engineering and as the director of the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. Her extensive research interests encompass intelligent perception and Internet of Things (IoT) technology. A senior member of the China Computer Federation (CCF) and deputy secretary general of the Taiyuan Branch of the Association for Computing Machinery (ACM), she has made significant contributions to her field through numerous projects, patents, and publications.

🎓 Education:

Prof. Zhao earned her Ph.D. from Taiyuan University of Technology in 2008, marking the beginning of her illustrious career in electronic information and optical engineering.

🔍 Research Focus:

Her primary research areas include intelligent perception and IoT technology, where she has driven forward innovative solutions and applications that bridge the gap between theoretical research and practical implementations.

🏆 Honors & Awards:

Prof. Zhao has been recognized for her contributions with numerous awards and honors at both national and provincial levels, celebrating her impact on technological advancements and academic excellence.

Professional Experience: 💼

In addition to her teaching and research roles, Prof. Zhao leads the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. She has presided over 25 national and provincial projects, demonstrating her leadership and expertise in her field.

 📚 Top Noted Publications :

Title: Investigation and Experimental Study on Gearbox Vibration Fault Diagnosis Method Based on Fusion Feature Convolutional Learning Network
Authors: Zhu, X., Ye, X., Wang, R., Han, Z., Gao, X.
Journal: Experimental Techniques
Citation Index: 2
Year of Publication: 2023

Title: GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
Authors: Gong, J., Ma, R., Li, D., Zhao, J.
Journal: Journal of the Indian Society of Remote Sensing
Citation Index: 4
Year of Publication: 2022

Title: Graph Neural Networks: Taxonomy, Advances, and Trends
Authors: Zhou, Y., Zheng, H., Huang, X., Li, D., Zhao, J.
Journal: ACM Transactions on Intelligent Systems and Technology
Citation Index: 53
Year of Publication: 2022

Title: Improved U-Net Based on Contour Prediction for Efficient Segmentation of Rectal Cancer
Authors: Li, D., Chu, X., Cui, Y., Zhang, K., Yang, X.
Journal: Computer Methods and Programs in Biomedicine
Citation Index: 19
Year of Publication: 2022

Title: Recognition of Honeycomb Lung in CT Images Based on Improved MobileNet Model
Authors: Gang, L., Haixuan, Z., Linning, E., Yu, L., Juming, Z.
Journal: Medical Physics
Citation Index: 15
Year of Publication: 2021

Author Metrics 📊 : 

Her extensive research output and impact are reflected in her author metrics, which highlight her influence and standing in the academic community.

📅 Research Timeline:

From earning her Ph.D. in 2008 to her current roles and achievements, Prof. Zhao’s career trajectory has been marked by continuous growth and significant contributions to electronic information and optical engineering, particularly in intelligent perception and IoT technology.

Dr Jinjin Hu | Digital economy | Best Researcher Award |

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Dr. Jinjin Hu | Digital economy | Best Researcher Award.

Harbin Institute of Technology (Shenzhen),China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Dr. Jinjin Hu is a Ph.D. candidate in Strategy & Entrepreneurship at Harbin Institute of Technology, Shenzhen, China, with research interests in digital transformation, corporate networks, and innovative performance. He holds a Master’s degree in Finance and a Bachelor’s degree in Accounting. Jinjin has published in renowned journals and received honors such as the National Scholarship. He actively contributes to research projects and serves as a reviewer for academic journals.

🎓 Education:

Dr. Jinjin Hu holds a Ph.D. in Strategy & Entrepreneurship from the School of Economics and Management at Harbin Institute of Technology, Shenzhen, China, where he is currently pursuing his doctoral studies. He also earned a Master of Arts in Finance from the same institution and holds a Bachelor of Science in Accounting from Huazhong Agricultural University, Wuhan, China.

🔍 Research Focus:

His research interests encompass a broad spectrum within the realms of knowledge and innovation, corporate strategy, international strategy, patents & intellectual property rights, digital transformation, and entrepreneurship. Dr. Hu’s work delves into understanding the impact of digital technologies on corporate innovation, the dynamics of corporate networks, and the strategic implications of technological advancements.

🏆 Honors & Awards:

Dr. Jinjin Hu has received prestigious accolades for his academic achievements, including the National Scholarship in 2021, the First Prize in the National “Chinese Accounting Network School Cup” Competition in 2019, and the Third Prize in the National “Innovation and Entrepreneurship Challenge Cup” in 2018.

Professional Experience: 💼

He has contributed significantly to various research projects funded by esteemed organizations such as the National Natural Science Foundation and the National Social Science Fund. Dr. Hu also serves as a reviewer for reputable journals in his field and has hosted sub-forums at academic conferences.

 📚 Top Noted Publications :

Title: Digital Economy Development and Venture Capital Networks: Empirical Evidence from China
Author: Jinjin Hu, Dong Huo, Delin Wu
Journal: Technological Forecasting and Social Change
Citation: 2024, Volume 203, Article 123338
Index: ABS3*, SSCI Q1
Year of Publish: 2024

 

Title: A Study on the Privatization Decisions of China Concepts Stock Based on the Tax Shield Effect
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Journal of Systems Science and Systems Engineering
Citation: 2023, Volume 32(5), Pages 623–640
Index: SSCI Q3
Year of Publish: 2023

 

Title: Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanism—Case Study of Patent Applications
Author: Xue Zhao, Delin Wu, Wei Wu, Jinjin Hu, Yibo Lian, Jianwei Shan
Journal: Data Analysis and Knowledge Discovery
Citation: 2023, Volume 7(8), Pages 30–45
Index: CSSCI Q2
Year of Publish: 2023

 

Title: Digital Economy and Environmental Governance Performance: Empirical Evidence from 275 Cities in China
Author: Jinjin Hu, Xue Zhao, Delin Wu, Wei Wu
Journal: Environmental Science and Pollution Research
Citation: 2023, Volume 30(10), Pages 26012–26031
Index: SSCI Q1
Year of Publish: 2023

 

Title: Implementation of Industrial Enterprises’ Green Innovation Strategy under Technology Spillover
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Technology Analysis and Strategic Management
Citation: 2023
Index: ABS2*, SSCI Q3
Year of Publish: 2023

Author Metrics 📊 : 

His scholarly output is characterized by high-quality publications and active engagement in the academic community as evidenced by his reviewer role for journals. Dr. Hu’s publications have garnered attention within the academic community, contributing to the advancement of knowledge in his field.

📅 Research Timeline:

Throughout his academic journey, Dr. Jinjin Hu has consistently demonstrated a dedication to research excellence and scholarly inquiry. From his undergraduate studies in Accounting to his current doctoral research in Strategy & Entrepreneurship, he has maintained a steadfast commitment to expanding the frontiers of knowledge in his areas of expertise

Mr Mohamed OUHSSINI | Cloud security | Best Research Article Award |

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Mr. Mohamed OUHSSINI | Cloud security | Best Research Article Award.

University IBN Zohr,Morocco

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Mohamed OUHSSINI is a Professor in the Computer Science Department at University IBN ZHOR in Agadir, Morocco. His expertise spans cloud security, DDoS attack detection and mitigation, and the applications of machine learning and deep learning in IoT security. He has significantly contributed to advancing research and education in computer science, particularly in cybersecurity.

🎓 Education:

Mohamed OUHSSINI earned a Master’s degree in Computer Science in 2017. This academic background laid the foundation for his expertise in cloud security and related technologies, enabling him to address complex challenges in the field.

🔍 Research Focus:

Mohamed’s research interests include cloud security, DDoS attacks detection and mitigation, deep learning, machine learning, and IoT security. He focuses on developing comprehensive frameworks and proactive systems for detecting and preventing cyber threats in cloud environments.

🏆 Honors & Awards:

Throughout his career, Mohamed has received recognition for his contributions to computer science. His innovative approaches to cloud security and DDoS attack mitigation have garnered accolades in both academic and professional circles.

Professional Experience: 💼

Mohamed has been a Professor in high school for seven years, where he has dedicated himself to teaching and mentoring students in computer science. His practical experience in the field complements his academic endeavors, providing a well-rounded perspective on cybersecurity challenges and solutions.

📚 Top Noted Publications :

DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing”
Ouhssini, M., Afdel, K., Agherrabi, E., Akouhar, M., Abarda, A.
Journal of King Saud University – Computer and Information Sciences, 2024, 36(2), 101938
This paper presents a comprehensive framework for detecting and preventing DDoS attacks in cloud computing environments.

“Distributed intrusion detection system in the cloud environment based on Apache Kafka and Apache Spark”
Ouhssini, M., Afdel, K., Idhammad, M., Agherrabi, E.
5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021
This conference paper discusses a distributed intrusion detection system leveraging Apache Kafka and Apache Spark, cited 4 times.

“Towards a Proactive System of DDoS Attacks Detection in the Cloud”
Ouhssini, M., Afdel, K., Agherrabi, E.
Advances in Intelligent Systems and Computing, 2021, 1383 AISC, pp. 921–933
This conference paper explores a proactive system for detecting DDoS attacks in the cloud, aimed at enhancing security measures.

Author Metrics 📊 : 

Mohamed’s research contributions are reflected in his author metrics, with notable presence on platforms such as ORCID, ResearchGate, and Google Scholar. His Google Scholar profile, for example, showcases numerous citations and a strong h-index, highlighting the influence of his work in the academic community.

📅 Research Timeline:

Since obtaining his Master’s degree in 2017, Mohamed has consistently advanced his research in computer science. Over the past seven years, he has developed and refined methodologies for enhancing cloud security and mitigating DDoS attacks. His research timeline illustrates a dedicated effort to address pressing issues in cybersecurity through innovative solutions and collaborative projects.

Assoc Prof Dr Sultan Khan | Computer vision | Best Researcher Award |

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Assoc Prof Dr. Sultan Khan | Computer vision | Best Researcher Award.

National University of Technology,Pakistan

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Sultan Daud Khan is an accomplished researcher and academic, currently serving as the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024. He is also an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad, Pakistan, a position he has held since October 2019.

🎓 Education:

Dr. Khan’s academic journey includes a Ph.D. in Computer Science from the University of Milano-Bicocca in Italy (2013–2016). He earned his MSc in Electronics and Communication Engineering from Hanyang University in South Korea (2008–2008) and completed his BSc in Computer System Engineering from the University of Engineering and Technology in Peshawar, Pakistan (2001–2005).

🔍 Research Focus:

Dr. Khan’s research interests are diverse and include artificial intelligence, image processing, video watermarking, EEG/brain signal analysis, human action recognition, computer vision algorithms on FPGAs, and embedded systems design. His work aims to advance knowledge and practical applications in these areas, contributing significantly to the field.

🏆 Honors & Awards:

In 2023, Dr. Khan was recognized as one of the world’s top 2% of scientists in the field of Artificial Intelligence according to Stanford University’s ranking index. This prestigious recognition underscores his significant contributions and impact in his field of expertise.

Professional Experience: 💼

Dr. Khan has held several key positions throughout his career. He is the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024 and has been an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad since October 2019. His roles have involved significant academic leadership and research responsibilities.

📚 Top Noted Publications :

Detecting Drones Using Deep Convolutional Neural Networks

Authors: M. Saqib, S.D. Khan, N. Sharma, M. Blumenstein
Conference: 2017 14th IEEE International Conference on Advanced Video and Signal Based
Year: 2017
Citations: 206

A Survey of Advances in Vision-Based Vehicle Re-Identification

Authors: S.D. Khan, H. Ullah
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 161

Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble

Authors: H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S.D. Khan, F.A. Cheikh
Journal: IEEE Access
Year: 2019
Citations: 125

Stacked LSTM Network for Human Activity Recognition Using Smartphone Data

Authors: M. Ullah, H. Ullah, S.D. Khan, F.A. Cheikh
Conference: 2019 8th European Workshop on Visual Information Processing (EUVIP)
Year: 2019
Citations: 117

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Authors: S. Basalamah, S.D. Khan, H. Ullah
Journal: IEEE Access
Year: 2019
Citations: 69

Analyzing Crowd Behavior in Naturalistic Conditions: Identifying Sources and Sinks and Characterizing Main Flows

Authors: S.D. Khan, S. Bandini, S. Basalamah, G. Vizzari
Journal: Neurocomputing
Year: 2016
Citations: 67

Author Metrics 📊 : 

Dr. Khan’s author metrics highlight his research impact, with numerous citations and high h-index scores that demonstrate his influence and recognition in the scientific community. His contributions have been acknowledged globally, enhancing his reputation as a leading researcher in his fields of interest.

📅 Research Timeline:

Dr. Khan’s research timeline showcases his continuous and progressive contributions to various domains of computer science and engineering. From his early work in embedded systems to his current focus on artificial intelligence and brain signal analysis, his research has evolved and expanded, reflecting his dedication to advancing technology and knowledge.