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.

Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

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Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

🎓 Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

🔍 Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

🏆 Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: 💼

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

 📚 Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics 📊 : 

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

📅 Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.

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.