Guiguan Zhang | Finishing and Polishing | Best Researcher Award

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Assist. Prof. Dr. Guiguan Zhang | Finishing and Polishing | Best Researcher Award

Assistant Professor at Shandong University of Technology, China📖

Dr. Guiguan Zhang is an Assistant Professor at the Institute for Advanced Manufacturing, Shandong University of Technology (SDUT). He specializes in precision machining, micro-abrasive jet machining, and magnetic abrasive finishing. His research contributes to advancing manufacturing processes, focusing on improving surface quality and machining efficiency. With several funded projects and publications in high-impact journals, Dr. Zhang continues to drive innovation in micro and macro precision machining technologies.

Profile

Scopus Profile

Education Background🎓

  • Ph.D. in Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 2018-2022
  • M.E. in Mechanical Engineering, Shandong University of Technology, 2015-2018
  • B.E. in Mechanical Engineering, Taizhou Institute of Sci. & Tech., NUST, 2010-2014

Professional Experience🌱

Dr. Zhang began his academic career as a graduate researcher, focusing on micro-abrasive jet machining techniques and precision finishing. Since 2022, he has been serving as an Assistant Professor at SDUT, contributing to both teaching and research. He has led and participated in several funded projects, including grants from the Natural Science Foundation of Shandong Province and the China International Science and Technology Cooperation Base. His work emphasizes developing advanced manufacturing techniques to achieve high precision and quality in micro-scale machining applications.

Research Interests🔬

Her research interests include:

  • Micro-abrasive jet machining
  • Macro/micro effects in precision machining assisted by temperature fields
  • Magnetic abrasive finishing
  • Finishing and polishing of advanced materials

Author Metrics

Dr. Zhang has published research articles in renowned journals such as the Journal of Manufacturing Processes, Polymer Testing, Journal of Materials Processing Technology, Wear, and The International Journal of Advanced Manufacturing Technology. His work has been cited extensively, contributing to advancements in precision manufacturing techniques.

Awards and Honors
  • Recipient of research funding from the Natural Science Foundation of Shandong Province (ZR2023QE035, ZR2024ME225)
  • Collaborated on projects under the Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology and China International Science and Technology Cooperation Base
  • Active member of the Chinese Mechanical Engineering Society
  • Nominated for prestigious awards such as the Young Scientist Award, Best Researcher Award, and Excellence in Innovation
Publications Top Notes 📄

1. Multi-focus water-jet guided laser: For improving efficiency in cutting superalloys

  • Authors: Zhao, C., Zhao, Y., Zhao, D., Liu, Q., Zhang, G.
  • Journal: Journal of Manufacturing Processes
  • Year: 2024
  • Volume: 119
  • Pages: 729–743
  • Citations: 2

2. Predicting Polishing Performance of Magnetic Abrasive and Optimizing Its Preparation Process Parameters Based on Taguchi-GA Synergy

  • Authors: Wang, L., Sun, Y., Zhang, G., Sun, Y., Zuo, D.
  • Journal: Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences
  • Year: 2024
  • Volume: 51(4)
  • Pages: 43–53
  • Citations: 1

3. Research on grinding force modelling of spherical alumina magnetic abrasive powder

  • Authors: Gao, Y., Chen, P., Zhang, G., Li, Z., Yan, R.
  • Journal: International Journal of Advanced Manufacturing Technology
  • Year: 2024
  • Volume: 131(3-4)
  • Pages: 1601–1614
  • Citations: 1

4. Experimental study of plastic cutting in laser-assisted machining of SiC ceramics

  • Authors: Cao, C., Zhao, Y., Zhang, G., Zhang, H., Dai, D.
  • Journal: Optics and Laser Technology
  • Year: 2024
  • Volume: 169
  • Article ID: 110098
  • Citations: 7

5. Investigation on the preparation and finishing performance of a novel nanoparticle-enhanced bonded magnetic abrasive

  • Authors: Wang, L., Sun, Y., Zhang, G., Sun, Y., Zuo, D.
  • Journal: International Journal of Advanced Manufacturing Technology
  • Year: 2023
  • Volume: 129(9-10)
  • Pages: 4631–4642
  • Citations: 3

Conclusion

Dr. Guiguan Zhang is a highly suitable candidate for the Best Researcher Award due to his outstanding contributions to the field of finishing and polishing techniques, precision machining, and material surface treatment. His work demonstrates both depth and breadth, making significant advancements in micro and macro machining technologies.

With a strong academic foundation, impactful publications, and successful research funding, Dr. Zhang has established himself as a leading researcher. By focusing on expanding industry collaborations, international visibility, and technology commercialization, he can further strengthen his candidacy for prestigious research awards in the future.

Recommendation: Dr. Zhang’s impressive research achievements, innovation-driven approach, and commitment to excellence make him a deserving nominee for the Best Researcher Award, and he has the potential to become a prominent figure in the field of advanced manufacturing.

Elsayed Elgazzar | Materials Science | Best Researcher Award

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Assist. Prof. Dr. Elsayed Elgazzar | Materials Science | Best Researcher Award

Elsayed Elgazzar at Suze Canal University, Egypt📖

Dr. Elsayed Abdel Mohsen Ali Abdel Halim is an accomplished physicist specializing in solid-state and materials science. With extensive experience in academia and research, he has contributed significantly to the field of nanomaterials, photodetectors, and photovoltaic devices. Currently serving as an Assistant Professor of Physics at Suez Canal University, Egypt, Dr. Elsayed has also pursued international research engagements, including a tenure at Texas State University, USA. His work is characterized by a strong commitment to advancing materials science through innovative research and academic leadership.

Profile

Google Scholar Profile

Education Background🎓

  1. Ph.D. in Physics (Solid State – Materials Science) – Suez Canal University, Egypt (2011-2015)
  2. M.Sc. in Physics (Solid State – Materials Science) – Suez Canal University, Egypt (2008-2011)
  3. Pre-Master in Physics – Suez Canal University, Egypt (2006-2008)
  4. B.Sc. in Physics (Very Good) – Zagazig University, Egypt (2001-2004)

Professional Experience🌱

Dr. Elsayed has accumulated rich academic and research experience over the years. He began his career as a Demonstrator in the Physics Department at Suez Canal University (2005-2011), where he gained experience in laboratory instruction and quality management. As an Assistant Lecturer (2011-2015), he contributed to academic guidance and worked in advanced research labs. His role as a Lecturer (2015-2017, 2019-2023) involved teaching physics courses and conducting cutting-edge research. He also served as a Researcher in the Materials Science and Engineering Lab at Texas State University, USA (2017-2019), enhancing his expertise in nanomaterial synthesis and device fabrication. Since 2021, he has been an Assistant Professor at Suez Canal University, actively contributing to teaching and research.

Research Interests🔬

Her research interests include:

  1. Synthesis and characterization of nanomaterials using chemical methods
  2. Analysis of optical and electrical properties of thin films and photodetectors
  3. Development of photovoltaic devices and semiconductor materials
  4. Advanced materials for energy applications

Author Metrics

Dr. Elsayed has published several impactful research articles in reputed international journals, with notable contributions in areas such as photodiodes, solid-state materials, and nanocomposites. His research has received significant citations, reflecting his influence in the field. Some of his highly cited works include studies on Ru(II) complex-based photodiodes and cyclotriphosphazene compounds.

  • Total Publications: 5+
  • Total Citations: Over 100
  • H-Index: Notable contributions in materials science
Awards and Honors
  • Recognized for excellence in research and teaching at Suez Canal University
  • Participation in prestigious workshops and conferences, including those on X-ray diffraction and laser applications in nanomaterials
  • Contributions to staff development programs in scientific research and communication skills
Publications Top Notes 📄

1. Design and fabrication of dioxyphenylcoumarin substituted cyclotriphosphazene compounds photodiodes

  • Authors: E. Elgazzar, A. Dere, F. Özen, K. Koran, A.G. Al-Sehemi, A.A. Al-Ghamdi, et al.
  • Journal: Physica B: Condensed Matter
  • Volume: 515
  • Pages: 8-17
  • Year: 2017
  • Citations: 26

2. Photoelectrical characteristics of novel Ru (II) complexes based photodiode

  • Authors: W.A. Farooq, E. Elgazzar, A. Dere, O. Dayan, Z. Serbetci, A. Karabulut, M. Atif, et al.
  • Journal: Journal of Materials Science: Materials in Electronics
  • Volume: 30 (6)
  • Pages: 5516-5525
  • Year: 2019
  • Citations: 25

3. Fabrication of an (α-Mn₂O₃: Co)-decorated CNT highly sensitive screen printed electrode for the optimization and electrochemical determination of cyclobenzaprine

  • Authors: A.M. Abdel-Raoof, A.O.E. Osman, E.A. El-Desouky, A. Abdel-Fattah, et al.
  • Journal: RSC Advances
  • Volume: 10 (42)
  • Pages: 24985-24993
  • Year: 2020
  • Citations: 21

4. Thermal sensors based on delafossite film/p-silicon diode for low-temperature measurements

  • Authors: E. Elgazzar, A. Tataroğlu, A.A. Al-Ghamdi, Y. Al-Turki, W.A. Farooq, et al.
  • Journal: Applied Physics A
  • Volume: 122
  • Pages: 1-9
  • Year: 2016
  • Citations: 21

5. Heteroleptic neutral Ru (II) complexes based photodiodes

  • Authors: E. Elgazzar, O. Dayan, Z. Serbetci, A. Dere, A.G. Al-Sehemi, A.A. Al-Ghamdi, et al.
  • Journal: Physica B: Condensed Matter
  • Volume: 516
  • Pages: 7-13
  • Year: 2017
  • Citations: 18

Conclusion

Dr. Elsayed Elgazzar is a strong candidate for the Best Researcher Award, given his extensive contributions to materials science, particularly in nanomaterials and solid-state physics. His international exposure, impactful publications, and dedication to academia make him a standout researcher. With further efforts in expanding collaborations, securing funding, and increasing publication output, he can continue to make significant strides in his field and further solidify his standing as a leading materials scientist.

Wenchao Zhang | Algorithms | Best Researcher Award

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Dr. Wenchao Zhang | Algorithms | Best Researcher Award

Lecturer at Jiangsu Shipping College, China📖

Dr. Wenchao Zhang is a Lecturer at Jiangsu Shipping College, specializing in network science and graph analysis for geotechnical engineering applications. With a Doctorate in Intelligent Transportation Science and Technology from Soochow University and a Master’s in Engineering Mechanics from Northeastern University, his expertise lies in machine learning and data mining, particularly in predictive modeling for excavation deformation and tunneling safety. He has contributed to several innovative approaches in geotechnical research, including Bayesian Evolutionary Trees and gradient boosting for imbalanced regression.

Profile

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Education Background🎓

  • Ph.D. in Intelligent Transportation Science and Technology, Soochow University
  • M.Sc. in Engineering Mechanics, Northeastern University

Professional Experience🌱

Dr. Zhang is currently a Lecturer at Jiangsu Shipping College and is a member of the Jiangsu Underground Space Association. His work focuses on the integration of computational intelligence with geotechnical engineering, particularly in the prediction of excavation deformation and tunneling safety. He has led numerous research projects funded by the National Natural Science Foundation and has extensive experience in machine learning applications in geotechnical contexts.

Research Interests🔬

Her research interests include:

  • Machine Learning and Data Mining
  • Predictive Modeling for Excavation Deformation
  • Tunneling Safety
  • Network Science and Graph Analysis
  • Geotechnical Engineering Applications

Author Metrics

  • Scopus H-index: 2
  • Total Citations: 15
  • Publications: 10 articles (4 SCI-indexed, 1 EI-indexed, 5 Scopus-indexed)
  • Patents Published: 4 (1 invention, 3 utility models)
  • Book Chapter: 1 (ISBN: 978-981-99-4751-5)
Awards and Honors

Dr. Zhang has received recognition for his significant contributions to the field of network science and graph analysis in geotechnical engineering. His work has led to the development of innovative predictive models such as the EB-GLFMR model and Bayesian Evolutionary Trees. Additionally, his interdisciplinary collaborations have advanced both theoretical research and practical applications in the field.

Publications Top Notes 📄

1. Missing Data Analysis and Soil Compressive Modulus Estimation via Bayesian Evolutionary Trees

  • Authors: Zhang, W., Shi, P., Zhou, X., Jia, P.
  • Journal: Lecture Notes in Computer Science (LNAI, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Year: 2023
  • Volume: 14089
  • Pages: 90–100
  • Citations: 0
  • Abstract: This paper presents a method to address missing data in geotechnical datasets and estimates soil compressive modulus using Bayesian Evolutionary Trees, integrating advanced computational models for more accurate prediction of geotechnical properties.

2. Mechanical Performances and Microscopic Properties of Cemented Backfilling Based on Orthogonal Experiment

  • Authors: Xu, Q., Wang, Y., Zhang, W.
  • Journal: Journal of Mining and Strata Control Engineering
  • Year: 2022
  • Volume: 4(6)
  • Article Number: 063520
  • Citations: 4
  • Abstract: This study investigates the mechanical performance and microscopic properties of cemented backfilling used in mining operations. It uses orthogonal experiments to assess the strength and durability of different backfilling materials, crucial for improving mining safety and efficiency.

3. Study on Settlement Influence of Newly Excavated Tunnel Undercrossing Large Diameter Pipeline

  • Authors: Xu, Q., Zhang, W., Chen, C., Lu, J., Tang, P.
  • Journal: Advances in Civil Engineering
  • Year: 2022
  • Article Number: 5700377
  • Citations: 1
  • Abstract: This research focuses on the settlement effects caused by tunnel excavation under large diameter pipelines, exploring the structural integrity and deformation processes, as well as mitigation strategies for such impacts on urban infrastructure.

4. Research on Deformation Prediction of Diaphragm Wall Based on Improved KNN and Parameters of Subway Deep Excavation

  • Authors: Zhang, W., Shi, P., Liu, W., Jia, P.
  • Journal: Journal of Huazhong University of Science and Technology (Natural Science Edition)
  • Year: 2021
  • Volume: 49(9)
  • Pages: 101–106
  • Citations: 7
  • Abstract: This paper presents an improved K-Nearest Neighbor (KNN) model to predict the deformation of diaphragm walls in deep subway excavations, considering various parameters that affect the stability of underground structures in urban environments.

5. Study of the Mechanical Performance of Excavation Under Asymmetrical Pressure and Reinforcement Measures

  • Authors: Zhang, W., Wu, N., Jia, P., Li, H., Wang, G.
  • Journal: Arabian Journal of Geosciences
  • Year: 2021
  • Volume: 14(18)
  • Article Number: 1834
  • Citations: 9
  • Abstract: The study investigates the mechanical behavior of excavation sites under asymmetrical pressure and explores various reinforcement measures. The findings are crucial for improving excavation methods and ensuring the stability of structures in asymmetrically loaded sites.

Conclusion

Dr. Wenchao Zhang is an exceptional candidate for the Best Researcher Award. His innovative work in network science, machine learning, and geotechnical engineering sets him apart as a leader in his field. His research on predictive modeling, excavation deformation, and tunneling safety has the potential to transform the industry and academic landscapes. With a clear track record of achievements, Dr. Zhang has laid a strong foundation for future contributions. By expanding his reach in practical applications and international collaborations, he could further elevate his impact in the coming years.

In summary, Dr. Zhang’s commitment to advancing geotechnical engineering through computational intelligence and his ability to pioneer new methodologies positions him as a deserving recipient of the Best Researcher Award..

Jieru Song | Neuromorphic Computing | Best Researcher Award

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Ms. Jieru Song | Neuromorphic Computing | Best Researcher Award

Jieru Song at Fudan University, China📖

Jieru Song is a Ph.D. candidate at Fudan University’s School of Microelectronics, specializing in neuromorphic computing and optoelectronic devices. With a Bachelor’s degree in Microelectronics Science and Engineering from Nanjing University, he has contributed to advancing self-powered heterojunction devices and optoelectronic memristors for reservoir computing. His work focuses on the integration of sensing, storage, and computing, with a particular emphasis on energy-efficient solutions for neuromorphic applications. Jieru’s research has resulted in significant innovations in signal processing, energy-efficient computing, and artificial neural networks.]

Profile

Scopus Profile

Education Background🎓

  1. Bachelor’s Degree in Microelectronics Science and Engineering, Nanjing University
  2. Ph.D. (Ongoing), School of Microelectronics, Fudan University (Research in optoelectronic memristors and neuromorphic computing)

Professional Experience🌱

Jieru Song is currently pursuing his Ph.D. at Fudan University, focusing on the development of self-powered heterojunction devices and optoelectronic memristors for neuromorphic applications. His work integrates signal processing with energy-efficient computing solutions for reservoir computing. He has designed and fabricated devices for tasks such as speech and EMG signal classification, enhancing device performance through optimized fabrication techniques. His professional journey is characterized by contributions to innovative algorithms for signal conversion and classification, which have led to advancements in both hardware and software for computing systems.

Research Interests🔬

Her research interests include:

  • Neuromorphic Computing
  • Optoelectronic Memristors
  • Self-Powered Devices
  • Reservoir Computing
  • Energy-Efficient Computing Solutions
  • Signal Processing Algorithms

Author Metrics

Jieru Song has contributed significantly to the field of neuromorphic computing and optoelectronic devices, with his research published in several esteemed journals. Notably, his work on self-powered optoelectronic synaptic devices for both static and dynamic reservoir computing was published in Nano Energy in 2025, where it received widespread attention. Additionally, he has authored papers on photoelectric synaptic devices for neuromorphic computing, featured in IEEE Electron Device Letters (2024) and Journal of Semiconductors (2024). His publications reflect a strong focus on innovative devices for energy-efficient, integrated sensing, and computing systems, contributing valuable insights to the advancement of neuromorphic applications.

Awards and Honors

Jieru Song has been recognized for his groundbreaking contributions to neuromorphic computing and optoelectronic devices, including publication in leading journals and conferences. His research has garnered attention in the scientific community for advancing energy-efficient, integrated sensing, and computing systems, laying the foundation for future scalable technological solutions.

Publications Top Notes 📄

1. Self-powered optoelectronic synaptic device for both static and dynamic reservoir computing

  • Authors: Jieru Song, J. Meng, C. Lu, D.W. Zhang, L. Chen
  • Journal: Nano Energy
  • Year: 2025
  • Volume: 134
  • Article Number: 110574
  • DOI: [Link Disabled]
  • Abstract: This paper presents the development of a self-powered optoelectronic synaptic device that can efficiently operate for both static and dynamic reservoir computing tasks. The device has applications in neuromorphic systems and energy-efficient computation.

2. Reconfigurable Selector-Free All-Optical Controlled Neuromorphic Memristor for In-Memory Sensing and Reservoir Computing

  • Authors: C. Lu, J. Meng, Jieru Song, D.W. Zhang, L. Chen
  • Journal: ACS Nano
  • Year: 2024
  • Volume: 18
  • Issue: 43
  • Pages: 29715–29723
  • Citations: 1
  • DOI: [Link Disabled]
  • Abstract: This study introduces a reconfigurable, selector-free all-optical controlled neuromorphic memristor designed for in-memory sensing and reservoir computing. This novel device has significant implications for neuromorphic computing systems.

3. InGaZnO-based photoelectric synaptic devices for neuromorphic computing

  • Authors: Jieru Song, J. Meng, T. Wang, D.W. Zhang, L. Chen
  • Journal: Journal of Semiconductors
  • Year: 2024
  • Volume: 45
  • Issue: 9
  • Article Number: 092402
  • Citations: 1
  • DOI: [Link Disabled]
  • Abstract: This article explores InGaZnO-based photoelectric synaptic devices, focusing on their application in neuromorphic computing. The devices are designed to enhance performance for computational tasks like image recognition and signal classification.

4. Fluorite-structured antiferroelectric hafnium-zirconium oxide for emerging nonvolatile memory and neuromorphic-computing applications

  • Authors: K. Xu, T. Wang, J. Yu, D.W. Zhang, L. Chen
  • Journal: Applied Physics Reviews
  • Year: 2024
  • Volume: 11
  • Issue: 2
  • Article Number: 021303
  • Citations: 3
  • Abstract: The paper investigates the use of fluorite-structured antiferroelectric hafnium-zirconium oxide in nonvolatile memory and neuromorphic computing applications. The material’s properties are optimized for energy efficiency in memory storage and computing systems.

5. Ionic Diffusive Nanomemristors with Dendritic Competition and Cooperation Functions for Ultralow Voltage Neuromorphic Computing

  • Authors: J. Meng, Jieru Song, Y. Fang, D.W. Zhang, L. Chen
  • Journal: ACS Nano
  • Year: 2024
  • Volume: 18
  • Issue: 12
  • Pages: 9150–9159
  • Citations: 7
  • Abstract: This research introduces ionic diffusive nanomemristors that exhibit dendritic competition and cooperation functions, designed for ultralow voltage neuromorphic computing. These memristors are key for advancing neuromorphic computing systems with minimal energy consumption.

Conclusion

Jieru Song has exhibited a strong and consistent track record of groundbreaking research in the emerging field of neuromorphic computing. His innovative work in self-powered optoelectronic devices, memristors, and energy-efficient computing solutions positions him as a leader in the field. His ability to combine technical ingenuity with practical applications has already begun to influence both the academic and technological communities.

Given the impressive impact of his research and its potential for long-term contribution to AI, signal processing, and sustainable computing, Jieru Song is highly deserving of the Best Researcher Award. With further development in industry collaborations and expanded research in cross-disciplinary applications, he can continue to push the boundaries of neuromorphic computing and its practical applications.

Sidra Jubair | Machine Learning | Best Researcher Award

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Ms. Sidra Jubair | Machine Learning | Best Researcher Award

Ph.D Student at Dalian University of Technology, China📖

Dr. Sidra Jubair is a dedicated researcher in the field of applied mathematics, currently pursuing her Ph.D. at the School of Mathematical Sciences, Dalian University of Technology, China, under the supervision of Prof. Jie Yang. Her research focuses on machine learning, computational fluid dynamics, and neurocomputing. With a strong academic background and numerous high-impact publications in top-tier journals, she is committed to advancing knowledge in data-driven scientific computation.

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Education Background🎓

  1. Ph.D. in Applied Mathematics (2019 – Present)
    • Dalian University of Technology, China
    • Project: Imbalanced Data Learning through Examples and Classifiers
  2. M.Sc. in Applied Mathematics (2016 – 2018)
    • Hazara University, Pakistan
    • Supervised by Prof. Dr. Muhammad Shahzad
  3. B.Sc. in Mathematics (2011 – 2015)
    • International Islamic University, Islamabad, Pakistan

Professional Experience🌱

Dr. Sidra Jubair has extensive research experience in applied mathematics, focusing on the integration of computational intelligence with fluid dynamics. She has collaborated with researchers globally and contributed to high-impact scientific journals. Her work primarily revolves around machine learning applications in engineering and environmental sciences. Additionally, she has actively participated in international conferences and workshops, sharing her insights on topics such as neurocomputing and imbalanced data learning.

Research Interests🔬

Her research interests include:

  • Neurocomputing
  • Computational Fluid Dynamics
  • Imbalanced Data Learning
  • Machine Learning Applications in Engineering

Author Metrics

Dr. Sidra Jubair has established a strong research presence in the fields of applied mathematics, machine learning, and computational fluid dynamics. Her scholarly contributions have garnered significant recognition, with over 900 citations on Google Scholar, reflecting the impact and relevance of her work within the scientific community. She holds an H-index of 15, demonstrating the consistent influence and citation of her research, and an i10-index of 12, highlighting her ability to produce multiple highly cited publications. Dr. Jubair has published extensively in top-tier, high-impact journals, including Information Processing and Management, Alexandria Engineering Journal, and Applied Water Sciences, with impact factors reaching up to 7.4. Her research on imbalanced data learning and computational modeling has been widely acknowledged, contributing valuable insights to the advancement of data-driven scientific computation.

Publications Top Notes 📄

1. Mixed convective flow of hybrid nanofluid over a heated stretching disk with zero-mass flux using the modified Buongiorno model

  • Authors: B. Ali, N.K. Mishra, K. Rafique, S. Jubair, Z. Mahmood, S.M. Eldin
  • Journal: Alexandria Engineering Journal
  • Volume: 72
  • Pages: 83-96
  • Citations: 74
  • Year: 2023

2. Numerical simulation of the nanofluid flow consists of gyrotactic microorganism and subject to activation energy across an inclined stretching cylinder

  • Authors: H.A. Othman, B. Ali, S. Jubair, M. Yahya Almusawa, S.M. Aldin
  • Journal: Scientific Reports
  • Volume: 13, Issue 1
  • Article Number: 7719
  • Citations: 51
  • Year: 2023

3. MHD flow of nanofluid over moving slender needle with nanoparticles aggregation and viscous dissipation effects

  • Authors: B. Ali, S. Jubair, D. Fathima, A. Akhter, K. Rafique, Z. Mahmood
  • Journal: Science Progress
  • Volume: 106, Issue 2
  • Article Number: 00368504231176151
  • Citations: 42
  • Year: 2023

4. Boundary layer and heat transfer analysis of mixed convective nanofluid flow capturing the aspects of nanoparticles over a needle

  • Authors: B. Ali, S. Jubair, L.A. Al-Essa, Z. Mahmood, A. Al-Bossly, F.S. Alduais
  • Journal: Materials Today Communications
  • Volume: 35
  • Article Number: 106253
  • Citations: 38
  • Year: 2023

5. Numerical investigation of heat source induced thermal slip effect on trihybrid nanofluid flow over a stretching surface

  • Authors: B. Ali, S. Jubair, A. Aluraikan, M. Abd El-Rahman, S.M. Eldin, H.A.E.W. Khalifa
  • Journal: Results in Engineering
  • Volume: 20
  • Article Number: 101536
  • Citations: 37
  • Year: 2023

Conclusion

Dr. Sidra Jubair is a highly deserving candidate for the Best Researcher Award. Her outstanding research in applied mathematics, particularly in machine learning and computational fluid dynamics, has had a profound impact on both the academic and scientific communities. Her consistent publication in top-tier journals and strong research metrics underscore her ability to produce high-quality, impactful research. While there are opportunities for her to broaden the scope of her research through real-world applications and interdisciplinary collaborations, her current work demonstrates tremendous potential for further breakthroughs in applied mathematics and engineering.

Her dedication to advancing knowledge in data-driven scientific computation, coupled with her innovative approaches, makes her an ideal candidate for the Best Researcher Award.

Sabrina Sicari | Microservices | Women Researcher Award

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Prof. Sabrina Sicari | Microservices | Women Researcher Award

Sabrina Sicari at University of Insubria, Italy📖

Prof. Sabrina Sophy Sicari is a Full Professor at the Università degli Studi dell’Insubria, Italy, specializing in Software Engineering. She is an IEEE Senior Member and serves on the editorial boards of renowned journals such as Computer Networks (Elsevier) and IEEE Internet of Things Journal. Her research primarily focuses on security and privacy in the Internet of Things (IoT), wireless sensor networks, and software engineering.

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Education Background🎓

  1. Ph.D. in Computer Science and Telecommunication Engineering, Università degli Studi di Catania, Italy (2003-2006)
    • Thesis: “Quality of Service and Quality of Protection”
  2. Master’s Degree in Electronic Engineering (Telecommunications), Università degli Studi di Catania (1996-2002)
    • Graduated with honors (110/110 cum laude)
  3. Professional Qualification: Licensed Engineer (2002)

Professional Experience🌱

Prof. Sicari has over 20 years of experience in academia and research. She has been with Università degli Studi dell’Insubria since 2006, progressing from a Post-Doctoral Researcher to Full Professor in 2023. She has led multiple research projects on IoT security, collaborated with esteemed institutions, and participated in various national and European research initiatives. Additionally, she has served as a member of the University Research Ethics Committee and contributed significantly to teaching bachelor’s and master’s level courses in telecommunications and IoT.

Research Interests🔬

Her research interests include:

  • Security and privacy in the Internet of Things (IoT)
  • Wireless sensor networks (WSN) and multimedia sensor networks
  • Risk assessment and quality of service in communication networks
  • Software engineering and secure data management

Author Metrics

Prof. Sabrina Sicari has an impressive research impact, with her scholarly contributions receiving significant recognition in the academic community. Her publications have garnered 9,755 citations on Google Scholar and 5,721 citations on Scopus, reflecting the widespread influence of her work in the fields of Internet of Things (IoT) security, wireless sensor networks, and software engineering. She holds an H-index of 26 on Google Scholar and 22 on Scopus, demonstrating her sustained research productivity and the high relevance of her contributions. Her work has been featured in top-tier journals such as Computer Networks (Elsevier) and IEEE Internet of Things Journal, and she has been recognized with prestigious awards for her impactful research.

Awards and Honors
  • Best Paper Award at IEEE ICUMT 2010 for her work on localization security in wireless sensor networks.
  • Computer Networks Timeless Impact Paper Award (2021) for the highly cited paper “Security, Privacy and Trust in Internet of Things: The Road Ahead.”
  • Top Downloaded Article Award (2024) from Wiley for her work on blockchain security in IoT.
  • Invited keynote speaker at international conferences such as AdHoc-Now 2020.
Publications Top Notes 📄

1. Internet of Things: Vision, Applications and Research Challenges

  • Authors: D. Miorandi, S. Sicari, F. De Pellegrini, I. Chlamtac
  • Journal: Ad Hoc Networks
  • Volume: 10, Issue 7
  • Pages: 1497-1516
  • Citations: 5368
  • Year: 2012

2. Security, Privacy and Trust in Internet of Things: The Road Ahead

  • Authors: S. Sicari, A. Rizzardi, L.A. Grieco, A. Coen-Porisini
  • Journal: Computer Networks
  • Volume: 76
  • Pages: 146-164
  • Citations: 2679
  • Year: 2015

3. IoT-Aided Robotics Applications: Technological Implications, Target Domains and Open Issues

  • Authors: L.A. Grieco, A. Rizzo, S. Colucci, S. Sicari, G. Piro, D. Di Paola, G. Boggia
  • Journal: Computer Communications
  • Volume: 54
  • Pages: 32-47
  • Citations: 240
  • Year: 2014

4. 5G in the Internet of Things Era: An Overview on Security and Privacy Challenges

  • Authors: S. Sicari, A. Rizzardi, A. Coen-Porisini
  • Journal: Computer Networks
  • Volume: 179
  • Article Number: 107345
  • Citations: 174
  • Year: 2020

5. A Security-and Quality-Aware System Architecture for Internet of Things

  • Authors: S. Sicari, C. Cappiello, F. De Pellegrini, D. Miorandi, A. Coen-Porisini
  • Journal: Information Systems Frontiers
  • Volume: 18
  • Pages: 665-677
  • Citations: 160
  • Year: 2016

Conclusion

Prof. Sabrina Sicari is an outstanding candidate for the Women Researcher Award, given her remarkable achievements in academia, research impact, and leadership within the field of IoT security and software engineering. Her consistent publication record, editorial roles, and numerous recognitions make her an excellent role model for women in technology and research.

With a focus on increasing industry collaborations and outreach efforts to promote diversity in STEM, she could further strengthen her candidacy and make an even greater impact in the global research community.

Recommendation: Highly suitable for nomination, with minor suggestions for future growth.

Iliyas Karim Khan | Statistics | Best Researcher Award

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Mr. Iliyas Karim Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi Petronas Malaysia, Malaysia📖

Iliyas Karim Khan is a dedicated researcher and educator with a strong background in statistics and data science. He is currently pursuing his Ph.D. at Universiti Teknologi PETRONAS, Malaysia, focusing on advanced statistical modeling and machine learning applications. With extensive teaching experience spanning over 8 years in various academic institutions, he has contributed significantly to the field through research and publications. His work primarily revolves around clustering algorithms, data analysis, and predictive modeling.

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Education Background🎓

  • Ph.D. in Statistics (2024), Universiti Teknologi PETRONAS, Malaysia
  • M.Phil. in Statistics (2016), Peshawar University, KPK, Pakistan
  • M.Sc. in Statistics (2014), Peshawar University, KPK, Pakistan
  • B.Sc. in Statistics (2012), SBBU Sheringhal, Upper Dir, Pakistan
  • B.Ed. (2015), SBBU Sheringhal, Upper Dir, Pakistan
  • F.Sc. in Engineering (2010), BISE Peshawar, Pakistan
  • S.S.C. in Science (2008), BISE KPK, Peshawar, Pakistan

Professional Experience🌱

Iliyas has accumulated diverse teaching and research experience in both national and international institutions. He has served as a lecturer and subject specialist at GHSS Bang Chitral, Pakistan, and Abbottabad University of Science and Technology, contributing to curriculum development and student mentorship. Additionally, he has gained international teaching experience as a Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia. His professional expertise extends to statistical analysis, machine learning, and forecasting, with hands-on experience in tools such as Python, SPSS, and Minitab

Research Interests🔬
  • Machine Learning
  • Statistical Modeling
  • Forecasting
  • Big Data Analysis
  • Cluster Optimization Algorithms

Author Metrics

Iliyas has published several high-impact journal articles in Q1 journals, including Egyptian Informatics Journal and AIMS Mathematics, with notable contributions to the advancement of clustering algorithms and data science techniques. His research work has garnered significant recognition within the academic community.

Awards and Honors
  • Publication Recognition Achievement 2024, Universiti Teknologi PETRONAS, Malaysia
  • Acknowledged for outstanding contributions to statistical analysis and machine learning applications
Publications Top Notes 📄

1. Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-mean Algorithm

  • Authors: I.K. Khan, H.B. Daud, N.B. Zainuddin, R. Sokkalingam, M. Farooq, M.E. Baig, et al.
  • Journal: Egyptian Informatics Journal
  • Volume: 27, Article 100504
  • Year: 2024
  • Citations: 3
  • Abstract: This study introduces an enhanced gap statistic method to determine the optimal number of clusters in the K-means clustering algorithm. The approach addresses common challenges in cluster analysis, improving the reliability and efficiency of the algorithm.
  • Impact: Provides an effective method to enhance clustering performance in various data-driven applications.

2. Numerical Solution of Heat Equation using Modified Cubic B-spline Collocation Method

  • Authors: M. Iqbal, N. Zainuddin, H. Daud, R. Kanan, R. Jusoh, A. Ullah, I.K. Khan
  • Journal: Journal of Advanced Research in Numerical Heat Transfer
  • Volume: 20, Issue 1, Pages 23-35
  • Year: 2024
  • Citations: 2
  • Abstract: The paper presents a numerical solution to the heat equation using a modified cubic B-spline collocation method. The proposed method enhances accuracy and computational efficiency compared to conventional techniques.
  • Impact: Contributes to the advancement of numerical modeling in heat transfer applications.

3. Addressing Limitations of the K-means Clustering Algorithm: Outliers, Non-spherical Data, and Optimal Cluster Selection

  • Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
  • Journal: AIMS Mathematics
  • Volume: 9, Pages 25070-25097
  • Year: 2024
  • Citations: 2
  • Abstract: This paper critically examines the limitations of the K-means clustering algorithm, proposing novel solutions to handle outliers, non-spherical data, and optimal cluster determination.
  • Impact: Enhances the applicability of clustering techniques in complex real-world datasets.

4. Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data

  • Authors: I.K. Khan, H.B. Daud, R. Sokkalingam, N.B. Zainuddin, A. Abdussamad, et al.
  • Journal: AIP Conference Proceedings
  • Volume: 3123, Issue 1
  • Year: 2024
  • Citations: 1
  • Abstract: The study introduces the Kernelized Rank Order Distance (KROD) method to convert non-spherical data to spherical data, improving the performance of traditional clustering algorithms.
  • Impact: Provides a novel solution for handling data distribution challenges in clustering applications.

5. A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood

  • Authors: M. Zafar, H. Sakidin, A. Hussain, M. Sheremet, I. Dzulkarnain, R. Safdar, et al.
  • Journal: Journal of Advanced Research in Micro and Nano Engineering
  • Volume: 26, Issue 1, Pages 83-101
  • Year: 2024
  • Abstract: This review paper explores recent advancements in oil recovery techniques using nanotechnology, emphasizing the influence of geometries on the efficiency of nanoflooding processes.
  • Impact: Provides critical insights for improving oil recovery processes using nanomaterials.

Conclusion

Iliyas Karim Khan is a highly deserving candidate for the Best Researcher Award due to his impressive academic credentials, impactful research contributions, and dedication to the field of statistics and data science. His work on clustering algorithms and machine learning applications offers innovative solutions to critical challenges in data analysis.

To further strengthen his profile, he should focus on expanding his research network, leading high-value projects, and enhancing his presence in industry-oriented applications. With continued efforts, Iliyas is poised to make even greater contributions to the field and emerge as a thought leader in statistical modeling and data science.

Israr Ahmad | Applications of Chaos | Best Researcher Award

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Dr. Israr Ahmad | Applications of Chaos | Best Researcher Award

Lecturer at University of Technology and Applied Sciences Nizwa, Oman, United States📖

Dr. Israr Ahmad is a passionate lecturer and researcher with over 21 years of teaching experience, including 14 years at the university level. He holds a PhD in Applied Mathematics from the Northern University of Malaysia (2017), specializing in Chaos Synchronization and Control Theory. Dr. Ahmad has published more than 43 research articles in top-tier ISI and Scopus-indexed journals. He is recognized for his research in Chaos Control, Lyapunov Stability Analysis, and Nonlinear Control Techniques.

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Education Background🎓

  • PhD in Applied Mathematics, Northern University of Malaysia (2017)
  • MSc in Mathematics, University of Peshawar, Pakistan (1996-1998)
  • BSc in Mathematics & Physics, GOVT Post Graduate Jehanzeb College Swat, Pakistan (1993-1996)
  • B.Ed, Allama Iqbal Open University, Islamabad, Pakistan (2001)

Professional Experience🌱

Dr. Ahmad has served as a Lecturer/Researcher at the University of Technology & Applied Sciences (UTAS), Nizwa, Oman, since 2010. In his role, he taught a variety of mathematics courses, including Trigonometry, Calculus, Algebra, and Linear Optimization, to students across disciplines such as IT, Engineering, and Business. He was also actively involved in curriculum development and risk management initiatives. Prior to this, he taught mathematics at Bright Future International School, Doha, Qatar, and Excelsior College, Swat, Pakistan.

Research Interests🔬

Dr. Ahmad’s research primarily focuses on Chaos Synchronization and Control, Nonlinear Control, Lyapunov Stability Analysis, Robust Adaptive Control, and Sliding Mode Control. His work involves developing novel methods for stabilizing chaotic systems and applying these techniques to real-world challenges, such as secure communications. He uses tools like MATLAB Simulink and Mathematica for numerical simulations and analyses.

Author Metrics

Dr. Israr Ahmad has made significant contributions to the field of mathematics, as reflected in his impressive author metrics. With over 43 published research articles in high-impact ISI and Scopus-indexed journals, his work has garnered more than 546 citations, showcasing the influence of his research. His h-index stands at 14, indicating a robust presence in the academic community, while his i10-index of 22 further highlights the consistency and relevance of his contributions. Dr. Ahmad’s publications are widely recognized, with a CiteScore ranking him in the top 10% in his field. His research collaborations are global, with 81% of his work co-authored with international researchers, underscoring his broad academic reach and impact.

Awards and Honors
  • Best Research Paper Award, Outstanding Research Award Competition, UTAS, Oman (2023)
  • Third Place, IEEE Oman Section Best Paper Award (2023)
  • Second Place, IEEE Oman Section Best Paper Award (2022)
  • Reviewer for 72+ Research Articles for top-tier ISI journals
  • Editorial Manager for International Journal of Multidisciplinary Sciences and Advanced Technology
  • Editorial Member for Journal of Advances in Applied & Computational Mathematics
  • Collaborations with renowned institutions across Saudi Arabia, Malaysia, Turkey, and Pakistan.

Dr. Ahmad’s contributions to research and teaching continue to shape the academic community and foster a deep understanding of complex mathematical systems.

Publications Top Notes 📄

1. Global Chaos Synchronization of New Chaotic System Using Linear Active Control

  • Authors: I Ahmad, AB Saaban, AB Ibrahim, M Shahzad
  • Journal: Complexity
  • Volume: 21
  • Issue: 1
  • Pages: 379-386
  • Year: 2015
  • DOI: 10.1002/cem.2404
  • Abstract: This paper presents a method for global chaos synchronization of a newly proposed chaotic system using linear active control. The stability analysis of the system is conducted, and a control law is designed to achieve synchronization under various conditions. It discusses the global exponential synchronization of chaotic systems for secure communication applications.

2. Globally Exponential Multi-Switching-Combination Synchronization Control of Chaotic Systems for Secure Communications

  • Authors: I Ahmad, M Shafiq, MM Al-Sawalha
  • Journal: Chinese Journal of Physics
  • Volume: 56
  • Issue: 3
  • Pages: 974-987
  • Year: 2018
  • DOI: 10.1016/j.cjph.2018.03.002
  • Abstract: The paper investigates the synchronization of chaotic systems using multi-switching combination synchronization control. The method is effective in the context of secure communication, ensuring reliable synchronization under perturbation and system uncertainties. It includes a global exponential stability analysis of the proposed approach.

3. The Synchronization of Chaotic Systems with Different Dimensions by a Robust Generalized Active Control

  • Authors: I Ahmad, AB Saaban, AB Ibrahim, M Shahzad, N Naveed
  • Journal: Optik
  • Volume: 127
  • Issue: 11
  • Pages: 4859-4871
  • Year: 2016
  • DOI: 10.1016/j.ijleo.2015.12.157
  • Abstract: This paper presents a robust generalized active control method for the synchronization of chaotic systems with different dimensions. The paper uses stability criteria to prove the effectiveness of the control law, showing that synchronization can be achieved despite the dimensional differences between the systems.

4. Finite-Time Stabilization of a Perturbed Chaotic Finance Model

  • Authors: DB Israr Ahmad, Adel Ouannas, Muhammad Shafiq, Viet-Thanh Pham
  • Journal: Journal of Advanced Research
  • Year: 2021
  • DOI: 10.1016/j.jare.2020.12.002
  • Abstract: The paper addresses the finite-time stabilization of a perturbed chaotic finance model. It uses a new control scheme to stabilize the chaotic dynamics of financial models and applies it to real-world data. The results demonstrate how chaotic fluctuations in financial markets can be mitigated through robust control.

5. Oscillation-Free Robust Adaptive Synchronization of Chaotic Systems with Parametric Uncertainties

  • Authors: I Ahmad, M Shafiq
  • Journal: Transactions of the Institute of Measurement and Control
  • Volume: 42
  • Issue: 11
  • Pages: 1977-1996
  • Year: 2020
  • DOI: 10.1177/0142331219895107
  • Abstract: This paper introduces a robust adaptive synchronization scheme for chaotic systems that accounts for parametric uncertainties. The method ensures oscillation-free performance even in the presence of system parameter variations, which is crucial for applications in secure communication and other sensitive fields.

Conclusion

Dr. Israr Ahmad is an outstanding candidate for the Best Researcher Award. His contributions to the field of applied mathematics, particularly in chaos theory and its practical applications, have been transformative. With an impressive publication record, numerous awards, and global research collaborations, Dr. Ahmad has established himself as a thought leader in his discipline. By expanding his engagement with the public and industry, he can continue to build on his achievements and make an even greater impact in the future. His work not only advances academic knowledge but also provides valuable tools for solving complex problems in technology, finance, and beyond.

Sarasawati Masti | Agricultural Mulching | Best Paper Award

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Prof. Sarasawati Masti | Agricultural Mulching | Best Paper Award

Professor at Karnatak Science College Dharwad, India📖

Dr. Saraswati P. Masti is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Chemistry at Karnatak Science College, Dharwad, Karnataka. With a career spanning over 17 years, she has made significant contributions to teaching, research, and academic administration.

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Education Background🎓

  • M.Sc. in Inorganic Chemistry from Karnatak University, Dharwad, Karnataka.
  • Ph.D. in Chemistry from Karnatak University, Dharwad, Karnataka.

Professional Experience🌱

  • Associate Professor (31st January 2021 – Present) – Department of Chemistry, Karnatak Science College, Dharwad, Karnataka
  • Assistant Professor (20th January 2012 – 30th January 2021) – Department of Chemistry, Karnatak Science College, Dharwad, Karnataka
  • Assistant Professor (22nd October 2011 – 19th January 2012) – Govt. Arts and Science College, Karwar, Karnataka
  • Assistant Professor (23rd October 2006 – 21st October 2011) – Department of Chemistry, Mangalore University, Mangalgangotri, Mangalore
  • Guest Faculty (2003 – 2006) – Department of Chemistry, Mangalore University, Mangalgangotri, Mangalore
Research Interests🔬

Dr. Masti’s research interests focus on drug analysis, polymer composites, and polymer blends, with a particular emphasis on developing materials for food packaging applications. Her research contributes significantly to the development of biopolymer-based films with multifunctional properties for active food packaging.

Author Metrics

Dr. Saraswati P. Masti has made significant contributions to her field, as evidenced by her impressive author metrics. With over 1008 citations, her work has gained substantial recognition in the academic community. Her h-index of 19 indicates that a significant number of her publications have been widely referenced, underscoring the impact of her research. Additionally, her i10-index of 34 reflects the consistency and quality of her work, with numerous publications receiving citations across various scientific platforms.

Awards and Honors

  • Principal Investigator for research projects funded by DST-SERB and PMEB, highlighting expertise in polymer composites and biopolymer-based films.
  • Recognized for leadership in organizing national seminars and internship training programs in collaboration with CIPET, Mysuru.
  • Acknowledged for contributions to academic administration and student welfare.
  • Served as Student Welfare Officer and Warden at Karnatak University’s Kaveri Ladies Hostel.
  • Honored for fostering a supportive environment for academic and personal growth among students.
Publications Top Notes 📄

1. Chitosan/pullulan based films incorporated with clove essential oil loaded chitosan-ZnO hybrid nanoparticles for active food packaging

  • Authors: T. Gasti, S. Dixit, V.D. Hiremani, R.B. Chougale, S.P. Masti, S.K. Vootla, …
  • Journal: Carbohydrate Polymers
  • Year: 2022
  • Volume: 277
  • Article: 118866
  • DOI: 10.1016/j.carbpol.2021.118866
  • Citations: 161
  • Abstract: This study investigates the development of chitosan/pullulan-based films, enriched with clove essential oil and chitosan-ZnO hybrid nanoparticles, for potential application in active food packaging. The films demonstrate good mechanical properties, controlled release, and antimicrobial activity.

2. Ethyl vanillin incorporated chitosan/poly (vinyl alcohol) active films for food packaging applications

  • Authors: S.S. Narasagoudr, V.G. Hegde, V.N. Vanjeri, R.B. Chougale, S.P. Masti
  • Journal: Carbohydrate Polymers
  • Year: 2020
  • Volume: 236
  • Article: 116049
  • DOI: 10.1016/j.carbpol.2020.116049
  • Citations: 158
  • Abstract: This paper reports the development of chitosan/polyvinyl alcohol-based films incorporated with ethyl vanillin, evaluating their potential for food packaging applications. The films exhibited favorable mechanical, thermal, and antimicrobial properties, suggesting their use in food preservation.

3. Physico-chemical and functional properties of rutin induced chitosan/poly (vinyl alcohol) bioactive films for food packaging applications

  • Authors: S.S. Narasagoudr, V.G. Hegde, R.B. Chougale, S.P. Masti, S. Vootla, …
  • Journal: Food Hydrocolloids
  • Year: 2020
  • Volume: 109
  • Article: 106096
  • DOI: 10.1016/j.foodhyd.2020.106096
  • Citations: 123
  • Abstract: This research explores the impact of rutin, a flavonoid, on the physical, chemical, and functional properties of chitosan/polyvinyl alcohol-based films. The bioactive films displayed significant antioxidant, antimicrobial, and mechanical properties, showing potential for food packaging.

4. Smart biodegradable films based on chitosan/methylcellulose containing Phyllanthus reticulatus anthocyanin for monitoring the freshness of fish fillet

  • Authors: T. Gasti, S. Dixit, O.J. D’souza, V.D. Hiremani, S.K. Vootla, S.P. Masti, …
  • Journal: International Journal of Biological Macromolecules
  • Year: 2021
  • Volume: 187
  • Pages: 451-461
  • DOI: 10.1016/j.ijbiomac.2021.07.014
  • Citations: 118
  • Abstract: This study examines the development of smart biodegradable films based on chitosan/methylcellulose with Phyllanthus reticulatus anthocyanin for monitoring fish freshness. The films displayed excellent sensitivity to freshness changes, providing a potential solution for fish preservation.

5. Influence of boswellic acid on multifunctional properties of chitosan/poly (vinyl alcohol) films for active food packaging

  • Authors: S.S. Narasagoudr, V.G. Hegde, R.B. Chougale, S.P. Masti, S. Dixit
  • Journal: International Journal of Biological Macromolecules
  • Year: 2020
  • Volume: 154
  • Pages: 48-61
  • DOI: 10.1016/j.ijbiomac.2020.02.011
  • Citations: 90
  • Abstract: This work evaluates the influence of boswellic acid on the multifunctional properties of chitosan/polyvinyl alcohol films. The films displayed enhanced antimicrobial activity and mechanical properties, making them suitable for use in active food packaging applications.

Conclusion

Dr. Saraswati P. Masti’s research is highly deserving of the Best Paper Award due to its innovative contributions to the field of sustainable food packaging. The work demonstrates a comprehensive understanding of material science and its application to real-world problems, such as food preservation and environmental sustainability. The significant citation count and funding from respected organizations further highlight the impact and relevance of her research.

While there are areas for improvement, such as broader material exploration and long-term performance evaluations, the research is a strong candidate for this prestigious award. By addressing these gaps in future studies, Dr. Masti could continue to make pivotal contributions to the field of polymer composites and biopolymer-based films.

Tesfay Gidey | Network Science | Best Researcher Award

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Dr. Tesfay Gidey | Network Science | Best Researcher Award

Assistant Professor at Addis Ababa Science and Technology University, Ethiopia📖

Tesfay Gidey Hailu is a highly skilled Data Scientist and Information and Communication Engineer with a strong background in computer science, machine learning, signal processing, and public health data analysis. With a Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China, Tesfay is proficient in programming languages like Python, Java, C++, and SQL, and has extensive experience in applying machine learning, data mining, and optimization techniques to solve real-world problems. His expertise spans indoor localization, transfer learning, and epidemiological data modeling, positioning him as a leader in technology-driven research and project management.

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Education Background🎓

  • Ph.D. in Information and Communication Engineering, University of Electronic Science and Technology of China, 2023
  • MSc in Software Engineering, HILCOE School of Computer Science and IT, 2018
  • MSc in Health Informatics and Biostatistics, College of Health Sciences, Mekelle University, 2013
  • BSc in Statistics with a Minor in Computer Science, Addis Ababa University, 2006

Professional Experience🌱

Tesfay has held several academic leadership roles, including Associate Dean at Addis Ababa Science and Technology University (AASTU), where he oversaw research initiatives and technology transfer. He also served as the Head of Department at Jimma University, where he led curriculum development, research, and faculty management. Throughout his career, Tesfay has contributed to driving quality improvements in manufacturing industries and has successfully managed cross-functional teams and student programs, fostering academic excellence and industry collaboration.

Research Interests🔬

Tesfay’s research primarily focuses on signal processing, indoor localization, machine learning, data fusion, and transfer learning. He also specializes in epidemiological data modeling, quality control in manufacturing industries, and predictive modeling. His work aims to leverage advanced algorithms to drive actionable insights in fields like healthcare and industrial applications.

Author Metrics

  • Publications: 14 research papers in peer-reviewed journals, including Sensors and Intelligent Information Management.
  • Notable Works:
    • Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization (2024)
    • Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning (2022)
    • Designing a Hybrid Multidimensional Metrics Framework for Predictive Modeling (2023)
    • Multiple contributions to epidemiological and biostatistical research in HIV testing and contraceptive prevalence in Ethiopia.
  • ORCID: 0000-0002-3229-8337
  • LinkedIn: Tesfay Gidey Hailu
  • Website: tesfaygaiml.com
Publications Top Notes 📄

1. Comparing Data Mining Techniques in HIV Testing Prediction

  • Authors: TG Hailu
  • Journal: Intelligent Information Management
  • Volume & Issue: 7 (3), 153-180
  • Year: 2015
  • Citations: 24
  • Summary: This paper compares various data mining techniques used for predicting HIV testing outcomes, focusing on the effectiveness and accuracy of the models. It explores different algorithms and methodologies used in health data analytics to predict HIV testing and suggests the most appropriate techniques based on the dataset used.

2. Assessing the Awareness and Usage of Quality Control Tools with Emphasis to Statistical Process Control (SPC) in Ethiopian Manufacturing Industries

  • Authors: L Berhe, T Gidey
  • Journal: Intelligent Information Management
  • Volume & Issue: 8 (06), 143
  • Year: 2016
  • Citations: 17
  • Summary: This paper examines the level of awareness and usage of quality control tools, particularly Statistical Process Control (SPC), within Ethiopian manufacturing industries. It provides an in-depth analysis of the impact of SPC on improving product quality and manufacturing efficiency, with an emphasis on the challenges faced in the local context.

3. Determinants and Cross-Regional Variations of Contraceptive Prevalence Rate in Ethiopia: A Multilevel Modeling Approach

  • Authors: TG Hailu
  • Journal: American Journal of Mathematical and Statistical Sciences (Am J Math Stat)
  • Volume & Issue: 5 (3), 95-110
  • Year: 2015
  • Citations: 16
  • Summary: This paper employs multilevel modeling to analyze the determinants of contraceptive prevalence rates in Ethiopia. It explores variations in contraceptive use across different regions and socio-economic factors, providing insights for policymakers in improving family planning initiatives.

4. Data Fusion Methods for Indoor Positioning Systems Based on Channel State Information Fingerprinting

  • Authors: HT Gidey, X Guo, K Zhong, L Li, Y Zhang
  • Journal: Sensors
  • Volume & Issue: 22 (22), 8720
  • Year: 2022
  • Citations: 5
  • Summary: This research investigates the application of data fusion methods for improving the accuracy of indoor positioning systems. The authors focus on utilizing channel state information fingerprinting to enhance the reliability and performance of these systems in real-world scenarios.

5. Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning Based Hybrid Feature Selection

  • Authors: HT Gidey, X Guo, L Li, Y Zhang
  • Journal: Sensors
  • Volume & Issue: 22 (15), 5840
  • Year: 2022
  • Citations: 5
  • Summary: This paper proposes a novel approach to indoor positioning systems by integrating heterogeneous transfer learning with hybrid feature selection techniques. The study explores the potential of combining Wi-Fi signal data with machine learning methods to improve the accuracy and adaptability of indoor positioning systems.

Conclusion

Dr. Tesfay Gidey Hailu is a highly deserving candidate for the Best Researcher Award based on his exceptional research contributions, leadership in academia, and innovative work in machine learning, data science, and public health. His interdisciplinary research in areas like indoor localization, Wi-Fi positioning, and predictive modeling demonstrates a solid track record of impactful work that benefits both academia and industry. With his expertise and leadership, Dr. Tesfay is poised to make further significant strides in advancing the field of network science and beyond. His work continues to have a profound influence on technology-driven research, particularly in healthcare and industrial applications.

By addressing the areas for improvement, Dr. Tesfay can expand his influence and continue shaping the future of technology and public health research. His potential for further academic and research accomplishments is immense, making him an ideal candidate for the Best Researcher Award.