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.

Ms Bassant Tolba | Wireless communication | Best Researcher Award |

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Ms. Bassant Tolba | Wireless communication  | Best Researcher Award.

Egypt-Japan University Science and Technology,Egypt

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Ms. Bassant Tolba is a Teaching Assistant and Ph.D. student in the Electrical and Communication Engineering department at Egypt-Japan University of Science and Technology (E-JUST). With over 6 years of experience, she specializes in machine learning (ML), wireless communication, cloud computing, meta-learning, service caching, and task offloading. Bassant excels in implementing effective ML projects at both local and global levels, with a strong focus on teaching, research, and reviewing research papers in data science and ML developments.

🎓 Education:

Ms. Bassant Tolba earned her B.Sc. in Electrical and Electronics Communications Engineering from the Faculty of Engineering, Alexandria University, with an overall grade of “Very Good with honors.” Her graduation project on Multimedia Communication (Image Processing Compression and Encryption) received a distinction with honors. She continued her academic journey at Egypt-Japan University of Science and Technology (E-JUST), where she completed her Master of Science in Electronics and Communication, focusing on wireless channel estimation and feedback using meta-learning techniques for vehicular networks. She is currently pursuing her Ph.D. at E-JUST, with a thesis titled “Multi-tier Communication and Multi-tier Computing in Edge Computing Networks.”

🔍 Research Focus:

Bassant’s research interests encompass a wide array of topics, including machine learning, wireless communication, cloud computing, meta-learning, service caching, and task offloading. Her work primarily focuses on developing and implementing machine learning frameworks to enhance communication systems and network performance. Notably, she has proposed frameworks based on generative adversarial neural networks and meta-learning to address challenges in channel state information feedback and system accuracy.

🏆 Honors & Awards:

Throughout her academic and professional journey, Bassant has been recognized for her contributions to the field. She has published a Q1 journal paper with an impact factor of 4 and presented her research at various conferences. Her dedication and excellence in her research and academic pursuits have earned her accolades and respect in the academic community.

Professional Experience: 💼

Bassant’s professional experience includes roles as a Research Assistant at the National Telecom Regulatory Authority (NTRA) from July 2018 to July 2020, where she implemented a machine learning core in heterogeneous cell systems and proposed a framework to solve challenges in channel state information feedback. From August 2020 to July 2021, she served as a Research Assistant at the Information Technology Industry Development Agency (ITIDA), where she developed a meta-learning framework to improve communication system accuracy. Since September 2019, she has been a Teaching Assistant at E-JUST, assisting in classroom management, lesson delivery, and tutoring students.

📚 Top Noted Publications :

Massive MIMO CSI Feedback Based on Generative Adversarial Network

Authors: B. Tolba, M. Elsabrouty, M. G. Abdu-Aguye, H. Gacanin, H. M. Kasem

Published: 2020

Journal: IEEE Communications Letters, Volume 24, Issue 12, Pages 2805-2808

Citations: 35

Index: Q1 Journal

 

A Meta Learner Autoencoder for Channel State Information Feedback in Massive MIMO Systems

Authors: B. Tolba, A. H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2021

Conference: 28th International Conference on Telecommunications (ICT), Pages 1-5

Citations: 4

Index: Conference Paper

 

Joint User Association, Service Caching, and Task Offloading in Multi-tier Communication/Multi-tier Edge Computing Heterogeneous Networks

Authors: B. Tolba, M. Abo-Zahhad, M. Elsabrouty, A. Uchiyama, A. H. Abd El-Malek

Published: 2024

Journal: Ad Hoc Networks, Volume 160, Article 103500

Index: Journal Paper

 

Meta-transfer Learning for Super-Resolution Channel Estimation

Authors: B. Tolba, A. H. A. El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2023

Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 3, Pages 2993-3001

 

Meta-transfer Learning for Massive MIMO Channel Estimation for Millimeter-Wave Outdoor Vehicular Environments

Authors: B. Tolba, A.H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Year of Publication: 2023

Conference: 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)

Pages: 535-540

Author Metrics 📊 : 

Bassant’s publications have been well-received in the academic community, reflecting her research’s significance and impact. Her contributions to the field of machine learning and wireless communication are evidenced by her publication metrics and the recognition she has received from peers and institutions.

📅 Research Timeline:

July 2018 – July 2020: Research Assistant at National Telecom Regulatory Authority (NTRA)

August 2020 – July 2021: Research Assistant at Information Technology Industry Development Agency (ITIDA)

September 2019 – Present: Teaching Assistant at Egypt-Japan University of Science and Technology (E-JUST)

April 2021 – Present: Ph.D. student at Electronics and Communication Department, E-JUST

Dr D FERLIN DEVA SHAHILA | Image processing | Best Researcher Award |

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Dr D. FERLIN DEVA SHAHILA | Image processing | Best Researcher Award.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. D. Ferlin Deva Shahila is an accomplished researcher and academic with a strong background in Electrical and Electronics Engineering. She has earned her Ph.D. with a focus on image enhancement techniques, contributing significantly to the field of digital image processing. Dr. Shahila is known for her innovative research, publications in prestigious journals, and active participation in international conferences.

🎓 Education:

Dr. Shahila began her academic journey with a Diploma in Electrical and Electronics from Moderator Gnanadason Polytechnic, under Manonmaniam Sundaranar University, where she graduated with first-class honors in April 2000. She then pursued her B.E. in Electronics and Communication Engineering from Sun College of Engineering and Technology, also under Manonmaniam Sundaranar University, graduating in April 2003 with a first-class degree. She completed her M.E. in Electronics and Communication Engineering from C.S.I. Institute of Technology, affiliated with Anna University, Thirunelveli, in June 2010, again securing first-class marks. Dr. Shahila obtained her Ph.D. from NI University in November 2021, focusing on empirical studies and the development of image enhancement techniques.

🔍 Research Focus:

Dr. Shahila’s research primarily revolves around digital image processing, specifically the enhancement of image quality. Her Ph.D. thesis involved developing a Parallel Non-linear De-Blocking (PN-DB) method to improve digital image quality by minimizing blocking artifacts. This method integrates adaptive structures directional lifting with discrete wavelet transform, direction-aligned optimal decision models, and a constant coefficient-based sin interpolation filter. Her work aims to advance the efficiency of digital image transmission and processing systems.

🏆 Honors & Awards:

Throughout her career, Dr. Shahila has been recognized for her contributions to the field of image processing and digital communication. She has been awarded for her innovative research and active participation in academic and professional communities. Her dedication to advancing technology and improving digital image quality has earned her numerous accolades and honors.

Professional Experience: 💼

Dr. Shahila has held various academic and research positions, contributing significantly to the development of advanced digital image processing techniques. She has been involved in teaching and mentoring students, guiding them in their research projects, and collaborating with fellow researchers on various innovative projects. Her professional experience also includes presenting papers at international conferences and publishing research in renowned journals.

📚 Top Noted Publications :

Title: IOT Based Remote Heartbeat Monitoring
Authors: S. Joseph, D. F. Deva Shahila, S. Patnaik
Citation Index: 10
Year of Publication: 2019
Conference: 2019 International Conference on Advances in Computing, Communication and …

Title: Soft Computing-Based Non-Linear Discriminate Classifier for Multimedia Image Quality Enhancement
Authors: D. F. Deva Shahila, S. H. Krishnaveni, V. Stephen
Journal: International Journal of Computers and Applications
Volume: 43, Issue 7, Pages 674-683
Citation Index: 4
Year of Publication: 2021

Title: Detection of Retinal Hemorrhage Using Splat Feature Classification Technique
Authors: Ferlin Deva Shahila D., R. V. Athira
Journal: International Journal of Engineering Research and Applications
ISSN: 2248-9622
Citation Index: 4
Year of Publication: Not specified

Title: Quality Assessment on Digital Images Using Parallel Non-Linear De-Blocking Model
Authors: D. F. D. Shahila, S. H. Krishnaveni
Journal: WSEAS Transactions on Signal Processing
Volume: 12, Pages 118-129
Year of Publication: 2016

Author Metrics 📊 : 

Dr. Shahila’s research contributions have been widely recognized and cited in the academic community. Her publications have been indexed in reputable journals, and her work has been referenced by other researchers in the field. She has also been involved in reviewing articles for various scientific journals, further establishing her as an authority in digital image processing.

📅 Research Timeline:

Dr. Shahila’s research journey began with her diploma in 2000 and continued with her B.E. in 2003 and M.E. in 2010. Her significant research contributions started during her Ph.D. studies, which she completed in 2021. Since then, she has published multiple papers and presented her work at international conferences, focusing on advancing digital image enhancement techniques and their applications in various fields. Her research timeline reflects her dedication to improving image processing systems and her continuous effort to contribute to technological advancements.

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.