Nivine Guler | Computer graphics | Best Researcher Award

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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

Prabakaran Raghavendran | Artificial Neural Network | Young Scientist Award

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Mr. Prabakaran Raghavendran | Artificial Neural Network | Young Scientist Award

Research Scholar, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), India

Prabakaran Raghavendran is a dynamic researcher and Ph.D. candidate at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, specializing in Fractional Differential Equations, Integral Transforms, Functional Differential Equations, and Control Theory. With a strong academic foundation in Mathematics, he earned an M.Sc. in Mathematics with an impressive CGPA of 9.79 from the same institution in 2022. He is currently pursuing his Ph.D., contributing significantly to the field with several research publications, patents, and international conference presentations. 🌟

Publication Profile

Education:

Prabakaran completed his B.Sc. in Mathematics at Loyola College, Chennai, in 2020 with a CGPA of 9.25. He further advanced his academic career by obtaining an M.Sc. in Mathematics from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology in 2022, where he excelled with a CGPA of 9.79. Currently, he is pursuing his Ph.D. at the same institution, expected to complete in 202X. 🎓📚

Experience:

Prabakaran has been actively engaged in the research and development of advanced mathematical models and algorithms. His experience spans across fractional differential equations, fuzzy analysis, cryptography, and artificial neural networks. Additionally, he has contributed to the development of innovative technologies, holding multiple patents in signal analysis, optimization, and medical applications. His work is widely recognized in the academic and research communities. 💼🔬

Awards and Honors:

Prabakaran’s academic excellence and dedication to research have earned him several prestigious awards, including the Best Paper Presentation Award for his work on Fractional Integro Differential Equations at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24) in Beirut, Lebanon. He is also a life member of both the International Association of Engineers (IAENG) and the International Organization for Academic and Scientific Development (IOASD). 🏅🌍

Research Focus:

Prabakaran’s research focuses on Fractional Differential Equations, Integral Transforms, and Control Theory, with particular attention to their applications in various fields such as cryptography, artificial neural networks, and fuzzy analysis. He has developed new methodologies for solving complex mathematical models and is deeply involved in finding practical solutions for issues such as Parkinson’s disease prognosis, noise reduction in signals, and optimization in robotics. 🔍🔢

Conclusion:

Prabakaran Raghavendran is a passionate and dedicated researcher in the field of Mathematics, with a strong focus on fractional differential equations and control theory. His groundbreaking work in both theoretical and applied mathematics has earned him recognition through publications and patents. With his ongoing research contributions, he continues to push the boundaries of mathematical modeling and its applications in real-world problems. 🌐💡

Publications:

A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay. Fractal Fractional, 9 (1), 1-23. (2024) (SCIE-WoS & Scopus) (Q1).

Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations.  Journal of Mathematics and Computer Science, 38 (3), 313-329. (2024) (WoS & Scopus) (Q1).

Application of Artificial Neural Networks for Existence and Controllability in Impulsive Fractional Volterra-Fredholm Integro-Differential Equations. Applied Mathematics in Science and Engineering, 32 (1), 1-21. (2024) (SCIE-WoS-Scopus).

Existence and Controllability for Second-Order Functional Differential Equations With Infinite Delay and Random Effects.  International Journal of Differential Equations, 5541644, 2024, 1-9. (2024) (WoS & Scopus).

Solving the Chemical Reaction Models with the Upadhyaya Transform. Orient J Chem, 2024; 40(3). (WoS) (WoS).

Tobias Maurer | Urooncology | Best Researcher Award

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Prof. Dr. Tobias Maurer | Urooncology | Best Researcher Award

Faculty, University Hospital Hamburg-Eppendorf, UKE, Martini-Klinik, Germany

👨‍⚕️ Prof. Dr. med. Tobias Maurer, FEBU, is a renowned urologist specializing in prostate cancer treatment and research. He is a faculty member at the prestigious Martini-Klinik Prostate Cancer Center, University of Hamburg-Eppendorf, Germany. With over two decades of clinical and academic experience, Dr. Maurer is a globally recognized expert in PSMA-PET imaging, radioguided surgery, and innovative prostate cancer therapies. His work has earned him numerous awards and international recognition for advancing urological care.

Publication Profile

ORCID

Education

🎓 Prof. Maurer completed his medical training and residency at the Technical University of Munich (TUM) from 1997 to 2009. His dedication to academic excellence laid the foundation for a distinguished career in urology and prostate cancer research.

Experience

🏥 Prof. Maurer has held prominent positions throughout his career. He served as a Urologist and Attending Urologist at TUM’s Department of Urology from 2009 to 2016, followed by his role as Senior Attending Urologist in 2017-2018. Since 2018, he has been a vital part of the Martini-Klinik, contributing significantly to patient care and clinical research.

Awards and Honors

🏆 Prof. Maurer has received over 30 national and international accolades, highlighting his contributions to uro-oncology. Key awards include the 2017 German Urological Association (DGU) Award for Research and Innovation in Uro-Oncology, the 2015 EAU-AUA Scientific Exchange Programme Stipend (USA), and a Stipend from the German Research Foundation (2000–2002).

Research Focus

🔬 Dr. Maurer’s research centers on prostate cancer imaging, surgery, and therapy, particularly PSMA-PET imaging and radioguided surgery. He has served as co-investigator in over 30 clinical studies and as principal investigator for four clinical trials. With an h-index of 50 and more than 220 publications (impact factor >900), his contributions to urological science are substantial.

Conclusion

🌟 Prof. Dr. Tobias Maurer’s expertise and dedication to advancing prostate cancer care have established him as a leader in the field of urology. His clinical innovations, academic achievements, and numerous accolades reflect his commitment to improving patient outcomes globally.

Publications

Assessment of Different Castration Resistance Definitions and Staging Modalities in Metastatic Castration-Resistant Prostate Cancer
🗓️ Cancers, 2024-10-17
DOI: 10.3390/cancers16203506

Comparative analysis of robot-assisted and open approach for PSMA-radioguided surgery in recurrent prostate cancer
🗓️ European Journal of Nuclear Medicine and Molecular Imaging, 2024-08
DOI: 10.1007/s00259-023-06460-5

Nerve-sparing radical prostatectomy using the neurovascular structure-adjacent frozen-section examination (NeuroSAFE): results after 20 years of experience
🗓️ Prostate Cancer and Prostatic Diseases, 2024-06-11
DOI: 10.1038/s41391-024-00851-x

Limited prognostic role of routine serum markers (AP, CEA, LDH, and NSE) in oligorecurrent prostate cancer patients undergoing PSMA-radioguided surgery
🗓️ World Journal of Urology, 2024-04-24
DOI: 10.1007/s00345-024-04948-9

PSA-density, DRE, and PI-RADS 5: potential surrogates for omitting biopsy?
🗓️ World Journal of Urology, 2024-03-20
DOI: 10.1007/s00345-024-04894-6

PSMA-targeted fluorescence guidance for robotic-assisted prostatectomy
🗓️ Nature Reviews Urology, 2023-12
DOI: 10.1038/s41585-023-00817-z

EAU Biochemical Recurrence Risk Classification and PSA Kinetics Have No Value for Patient Selection in PSMA-Radioguided Surgery (PSMA-RGS) for Oligorecurrent Prostate Cancer
🗓️ Cancers, 2023-10
DOI: 10.3390/cancers15205008