Nivine Guler | Computer graphics | Best Researcher Award

Assist. Prof. Dr. Nivine Guler | Computer graphics | Best Researcher Award

Computer Engineering, University of Central Asia, Kyrgyzstan

👩‍💻 Dr. Nivine Guler is an accomplished Assistant Professor in the Computer Science Department at the University of Central Asia in Naryn, Kyrgyzstan. She holds a Ph.D. in Computer Engineering from Eastern Mediterranean University, where she earned a perfect GPA of 4.0. With expertise in wireless sensor networks, her research focuses on optimizing SDN controller placement, energy-efficient routing, and resource allocation in various wireless and IoT systems. She has authored numerous scholarly articles and presented at prestigious international conferences. Dr. Guler is an IEEE Member and serves as the Editorial Manager for the International Journal of Electronics and Communications.

Publication Profile

Education

🎓 Dr. Guler earned her Ph.D. in Computer Engineering from the Department of Computer Engineering at Eastern Mediterranean University, North Cyprus, in 2021. She completed her Master’s in Computer Engineering at the same institution in 2015 and a Bachelor’s degree in Computer Science from Beirut Arab University, Lebanon, in 2004.

Experience

💼 Dr. Guler has extensive academic experience, previously serving as an Assistant Professor and Head of the Informatics Engineering Department at the University of Technology Bahrain. She currently works at the University of Central Asia, where she continues to make significant contributions to research and teaching. Her career also includes valuable industrial experience, particularly in wireless networks and energy management systems.

Awards and Honors

Dr. Guler has received multiple accolades for her research contributions. She was awarded the Best Paper Award at the Engineered Science Publisher Journals in 2023 for her work on resource allocation schemes in hybrid wireless networks. Additionally, she earned the Best Researcher Award at the International Research Award for Excellence in Network Protocols, Technology, and Communication in 2024. 🏆🎖️

Research Focus

Her research interests cover a range of cutting-edge topics, including Artificial Intelligence in robot control systems, wireless communications, energy-efficient solutions for IoT, SWIPT/Visible Light Communication (VLC), deep reinforcement learning for electric vehicles, and the application of deep learning models in wireless sensor networks. Dr. Guler continues to explore innovative ways to improve energy-saving systems and smart technologies in wireless communications and vehicular networks. 🤖💡

Conclusion

🌟 Dr. Guler’s work continues to push boundaries in wireless networks, SDN, and IoT systems. With an impressive publication record and ongoing academic and industrial engagements, she stands out as a leader in her field.

Publications

A Fault Tolerance Metaheuristic-Based Scheme for Controller Placement Problem in Wireless Software Defined Networks
Journal: International Journal of Communication Systems (IJCS), Vol. 34, No. 4, 2021
Link
Cited by: 15

ERQTM: Energy-efficient Routing and QoS-supported Traffic Management for WBANS
Journal: IEEE Sensors Journal, Vol. 21, No. 12, 2021
DOI: 10.1109/JSEN.2021.3075241
Cited by: 23

ESRA: Energy Soaring-based Routing Algorithm for IoT Applications in Software-Defined Wireless Sensor Network
Journal: Egyptian Informatics Journal, Vol. 23, No. 2, pp. 215-224, 2021
DOI: 10.1016/j.eij.2021.12.004
Cited by: 18

ARCH: Adaptive Resource Allocation for Cooperative Transmission in Hybrid SWIPT-enabled Wireless Powered Sensor Networks
Journal: Engineered Science Journal, Vol. 25, No. 932, 2023
DOI: 10.30919/es932
Cited by: 10

A K-Additive Fuzzy Logic Approach for Optimizing FCS Sizing and Enhanced User Satisfaction
Journal: World Electrical Vehicles Journal, Vol. 15, No. 4, 2024
DOI: https://doi.org/10.3390/wevj15040150
Cited by: 7

Smart Allocation and Sizing of Fast Charging Stations: A Metaheuristic Solution
Journal: International Journal of Sustainable Energy, 43(1), 2024
DOI: 10.1080/14786451.2024.2350970
Cited by: 5

Vertical Handover-based Hybrid RF/VLC Scheme for e-Health Applications (VHO-HeA)
Journal: Engineered Science, 2024, Accepted
Cited by: Not yet published

Adaptive Fuzzy Logic Controller-based Intelligent Energy Management System Scheme for Hybrid Electric Vehicles
Journal: IEEE Access, 2024, under review
Cited by: Not yet published

Juxian Zhao | Computer Science | Best Researcher Award

Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention