Sherin Zafar | Machine LearningĀ  | Women Researcher Award

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Dr. Sherin Zafar | Machine LearningĀ  | Women Researcher Award

Jamia Hamdard | India

PUBLICATION PROFILE

Scopus

šŸŒŸ DR. SHERIN ZAFAR: ACADEMIC AND RESEARCH PIONEERĀ 

šŸ‘©ā€šŸ« INTRODUCTION

Dr. Sherin Zafar is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi. Joining the institution in 2015, she has made remarkable contributions to teaching, research, and faculty development. With expertise in network security, machine learning, and health informatics, Dr. Zafar continues to inspire both students and colleagues alike.

šŸŽ“ EARLY ACADEMIC PURSUITS

Dr. Zafar’s academic journey began with a Bachelorā€™s degree in Computer Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, followed by a Masterā€™s degree in the same field. Her passion for optimizing network protocols led her to complete her Ph.D. at Manav Rachna International Institute of Research and Studies (MRIIRS) in 2015, where she focused on creating secure protocols for Mobile Ad-Hoc Networks (MANETs) through biometric authentication.

šŸ’¼ PROFESSIONAL ENDEAVORS

Since joining Jamia Hamdard, Dr. Zafar has been dedicated to academic growth and research excellence. Her professional endeavors span the fields of artificial intelligence (AI), health informatics, and wireless networks. A regular participant in faculty development programs (FDP), workshops, and international conferences, Dr. Zafar stays at the forefront of technological advancements, demonstrating her commitment to personal and professional growth.

šŸ”¬ CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zafar’s research interests are centered around applying AI and computational techniques to real-world problems, especially in health and security. Her work in e-health, including maternal health improvement through AI-based systems, and the development of secure network protocols, highlights her commitment to impactful research. She has also explored the application of machine learning in smart city technologies and water quality monitoring.

šŸŒ IMPACT AND INFLUENCE

Dr. Zafar has made a significant impact in the academic community through her publications and collaborative research. Her work in healthcare AI, optimization techniques, and network security has been widely recognized and cited by scholars and professionals worldwide. Her contributions have advanced both theoretical and practical aspects of computer science and engineering.

šŸ“š ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zafarā€™s academic footprint includes high-quality research papers published in top-tier journals and international conference proceedings. Her studies, including works on AI in healthcare and photo captioning for visually impaired individuals, have been published in journals like Heliyon, Proceedings on Engineering Sciences, and Multimedia Tools and Applications. These works have been indexed in Scopus and Web of Science, contributing to the ongoing academic dialogue.

šŸ† HONORS & AWARDS

Throughout her career, Dr. Zafar has received several honors in recognition of her contributions to teaching and research. These accolades showcase her dedication to enhancing the educational landscape and driving innovations in technology and healthcare.

šŸ› ļø LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Zafar continues her work at Jamia Hamdard, her legacy is one of inspiring innovation and fostering academic excellence. With a focus on AI, machine learning, and secure communications, her future research is poised to make lasting contributions to the fields of computer science and healthcare, inspiring future generations of researchers and professionals.

šŸ“œ FINAL NOTE

Dr. Sherin Zafarā€™s career is a testament to her passion for research and teaching. Through her groundbreaking research in AI, network security, and healthcare, Dr. Zafar has earned a well-deserved reputation as a leader in her field. As she continues her academic journey, her influence will undoubtedly shape the future of computer science and engineering, leaving a lasting legacy for years to come.

šŸ“šĀ TOP NOTES PUBLICATIONSĀ 

Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework

Authors: S.P. Soman, Sibu Philip G., Senthil Kumar G., S.B. Nuthalapati, Suri Babu S., Zafar Sherin, K.M. Abubeker K.M.
Journal: Engineering Research Express
Year: 2024

Holistic Analysis and Development of a Pregnancy Risk Detection Framework: Unveiling Predictive Insights Beyond Random Forest

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: SN Computer Science
Year: 2024

Correction to: A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: A.K.M. Kunju Abubeker Kiliyanal Muhammed, S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: K.M. Abubeker K.M., S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

Ā Enhancing Heart Health Prediction with Natural Remedies Through Integration of Hybrid Deep Learning Models

Authors: L.M.S. Akoosh Lamiaa Mohammed Salem, F. Siddiqui Farheen, S. Zafar Sherin, S. Naaz Sameena, M.A. Afshar Alam
Journal: Journal of Natural Remedies
Year: 2024

Synergistic Precision: Integrating Artificial Intelligence and Bioactive Natural Products for Advanced Prediction of Maternal Mental Health During Pregnancy

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: Journal of Natural Remedies
Year: 2024

Abeer abdelhalim | Big Data Analytics | Best Researcher Award

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Prof. Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Prof. Abeer abdelhalim | Big Data Analytics ā€“ king faisal university | Saudi Arabia

Abeer M. M. Abdelhalim is a Full Professor of Accounting at King Faisal University, KSA, specializing in managerial accounting with over 30 years of academic and professional experience. He has contributed significantly to the field with numerous publications in peer-reviewed journals and has secured prestigious research grants. Prof. Abdelhalim is highly skilled in project management, scientific research, and organizing academic events. He has worked in various academic and leadership roles across multiple institutions, and his research focuses on management accounting, cost accounting, and financial disclosure. A dedicated educator, he fosters a stimulating learning environment for students and has led various training programs in accounting. His passion for continuous self-learning and development keeps him at the forefront of modern educational practices and technologies.

Profile

OrcidĀ 

Education

Prof. Abeer M. M. Abdelhalim earned his Bachelor’s in Accounting in 1995 from the Faculty of Commerce, Suez Canal University, Egypt. He then completed his Master’s in Cost & Managerial Accounting in 2000, followed by a Ph.D. in Managerial Accounting in 2006 from the same institution. His academic background laid the foundation for his distinguished career in both teaching and research. Prof. Abdelhalim’s education has empowered him to contribute significantly to the field of accounting, particularly in managerial and cost accounting, through various publications and applied research. His educational journey continues to inspire his teaching and consultancy work today.

Professional Experience

Prof. Abdelhalim has held several key positions throughout his career. Currently, he is a Full Professor of Accounting at King Faisal University, KSA, where he has also served as an Associate Professor and Assistant Professor. Prior to this, he worked at Imam University and Suez Canal University, where he taught various accounting and financial subjects. He has designed and implemented numerous accounting systems and led educational development projects. Additionally, Prof. Abdelhalim has extensive experience in training and consultancy, having conducted numerous workshops and courses in financial and managerial accounting. His leadership roles include heading committees in strategic planning, accreditation, and student affairs.

Awards and Recognition

Prof. Abeer M. M. Abdelhalim has earned several prestigious awards throughout his career. Notably, he won the First Place in Economic Studies from Prince Rashid bin Humid for Culture and Sciences in 2018. He also received the Distinguished Publication Award from the Scholarly Council at King Faisal University in 2023 for his significant contributions to research. His work in academia and research has been widely recognized, making him a leading figure in his field. His dedication to excellence in teaching and research continues to earn him accolades and recognition from both academic institutions and professional organizations.

Research Skills

Prof. Abdelhalim possesses advanced skills in scientific research, particularly in the fields of managerial and cost accounting. He has authored numerous articles in high-impact journals and has a strong track record of securing research grants. His research interests include financial reporting, digital transformation in accounting, big data analytics, and corporate sustainability. Prof. Abdelhalim is highly skilled in conducting applied research that addresses practical challenges in the accounting profession, particularly in relation to modern technologies such as blockchain and artificial intelligence. He is also experienced in leading research teams and contributing to global academic conferences.

Publications

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence
šŸ‘¤ Abeer Abdelhalim | šŸ“– Springer International Publishing | šŸŒ 2023 | DOI: 10.1007/978-3-031-17746-0 | ISBN: 9783031177453, 9783031177460 | ISSN: 2367-3370, 2367-3389 šŸŒŸšŸŽ“

The Moderating Role of Digital Environmental Management Accounting in the Relationship between Eco-Efficiency and Corporate Sustainability
šŸ‘¤ Abeer Abdelhalim | šŸ“– Sustainability | šŸŒ 2023 | April 23 | šŸŒŸšŸŽ“šŸ’¼

The Influence of Audit Committee Chair Characteristics on Financial Reporting Quality
šŸ‘¤ Abeer Abdelhalim, Abdalwali Lutfi, Saleh Zaid Alkilani, Mohamed Saad, Malek Hamed Alshirah, Ahmad Farhan Alshirah, Mahmaod Alrawad, Malak Akif Al-Khasawneh, Nahla Ibrahim | šŸ“– Journal of Risk and Financial Management | šŸŒ 2022 | November 29 | DOI: 10.3390/jrfm15120563 šŸŒŸšŸŽ“šŸ’¼

The Relationship between Risk Disclosure and Firm Performance: Empirical Evidence from Saudi Arabia
šŸ‘¤ Abeer Abdelhalim | šŸ“– The Journal of Asian Finance, Economics and Business | šŸŒ 2021 | June 30 | DOI: 10.13106/JAFEB.2021.VOL8.NO6.0255 šŸŒŸšŸŽ“šŸ’¼

Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

shahid beheshti university | Iran

Early Academic Pursuits šŸ“š

Dr. Alireza Sobbouhiā€™s academic journey began at Shahid Beheshti University in Iran, where he developed a strong foundation in mathematics, statistics, and computational sciences. His early fascination with complex systems and data-driven decision-making led him to specialize in predictive modeling. This interest propelled him into graduate studies, where he focused on developing and applying sophisticated techniques for forecasting and analyzing data.

Professional Endeavors šŸ’¼

Dr. Sobbouhi’s career blends academic achievements with professional success. As a professor at Shahid Beheshti University, he has been deeply involved in teaching, research, and industry collaboration. His role in academia extends beyond teaching as he works on impactful projects that link predictive modeling with real-world applications, from healthcare to finance. His expertise has also made him a sought-after consultant, furthering his reach and influence in both academia and industry.

Contributions and Research Focus On Predictive Modeling InnovationsšŸ”¬

Dr. Sobbouhiā€™s research is rooted in the advancement of predictive modeling. His contributions have introduced new methodologies to improve the accuracy and efficiency of data analysis in various domains. Some key areas of focus include:

  • Development of Predictive Algorithms: Crafting algorithms that provide more precise predictions in economic, healthcare, and environmental sectors.
  • Machine Learning Integration: Exploring ways to integrate machine learning techniques into predictive models for better data interpretation and forecasting.
  • Big Data Analytics: Focusing on scalable approaches to handle and analyze massive datasets to uncover patterns that traditional models might miss.

Impact and Influence šŸŒ

Dr. Sobbouhiā€™s work has had a profound impact, not only in academia but also across various industries. His innovative contributions to predictive modeling and machine learning have influenced numerous researchers and professionals in fields ranging from economics to environmental science. His approach to enhancing model reliability and interpretability has set new standards and inspired further research in data science. The applications of his work continue to improve decision-making processes worldwide.

Academic Cites šŸ“‘

Dr. Sobbouhiā€™s research has been extensively cited in scholarly articles, journals, and conferences, indicating the high regard in which his work is held. His studies on predictive analytics and statistical modeling have been foundational, influencing a wide range of studies in machine learning and data science. The frequency of his citations reflects the relevance and significance of his contributions to the broader scientific community.

Technical Skills šŸ§‘ā€šŸ’»

Dr. Sobbouhi possesses a diverse and deep technical skill set that includes:

  • Programming: Expertise in Python, R, and MATLAB for data analysis and modeling.
  • Statistical Modeling: Advanced proficiency in developing and applying statistical techniques for prediction and forecasting.
  • Machine Learning: Expertise in applying machine learning algorithms to large datasets to uncover trends and make predictions.
  • Data Visualization: Strong skills in visualizing complex datasets to facilitate understanding and decision-making.

These technical competencies allow him to tackle complex datasets and develop state-of-the-art predictive models.

Teaching Experience šŸ«

As an educator, Dr. Sobbouhi has taught a variety of courses on statistics, data science, and machine learning at Shahid Beheshti University. His teaching style blends theoretical knowledge with practical applications, ensuring students are well-prepared for the real-world challenges of the data science field. Dr. Sobbouhi has also supervised many graduate students, guiding them in their research and helping to shape the next generation of data scientists.

Legacy and Future Contributions šŸ”®

Dr. Sobbouhiā€™s legacy is built on his innovative contributions to predictive modeling and data science. His ability to bridge the gap between academic theory and industry application has had a lasting influence on both fields. Looking ahead, Dr. Sobbouhi is expected to continue making groundbreaking advancements in predictive analytics, particularly in the integration of AI and machine learning into real-world applications. His future research will likely shape the development of new predictive tools, influencing a wide range of industries for years to come.

Notable PublicationsĀ  šŸ“‘Ā 

A novel predictor for areal blackout in power system under emergency state using measured data
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025
A novel SVM ensemble classifier for predicting potential blackouts under emergency condition using on-line transient operating variables
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025 (April issue)
Transient stability improvement based on out-of-step prediction
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Transient stability prediction of power system; a review on methods, classification and considerations
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Online synchronous generator out-of-step prediction by electrical power curve fitting
    • Authors: Alireza Sobbouhi (main author)
    • Journal: IET Generation, Transmission and Distribution
    • Year: 2020
Online synchronous generator out-of-step prediction by ellipse fitting on acceleration power ā€“ Speed deviation curve
    • Authors: Alireza Sobbouhi (main author)
    • Journal: International Journal of Electrical Power and Energy Systems
    • Year: 2020

Jiao Kai | Data Science | Best Researcher Award

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Prof Dr. Jiao Kai | Data Science | Best Researcher Award

Department of Stomatology, Tangdu Hospital, China

Author Profile

Orcid

šŸ‘Øā€āš•ļø Prof. Dr. Jiao Kai - A Leading Expert In Stomatology

Early Academic Pursuits šŸŽ“

Prof. Dr. Jiao Kaiā€™s academic journey in stomatology began with a deep commitment to the field. He pursued higher education, ultimately becoming a doctoral supervisor. His early research laid the groundwork for his future breakthroughs, with a focus on oral medicine and temporomandibular joint disorders. Through rigorous training, he became an expert in the intricacies of oral health, reconstructive techniques, and joint disorders, propelling his career to new heights.

Professional Endeavors šŸ’¼

Currently, Prof. Dr. Jiao serves as the Director of the Department of Stomatology at Tangdu Hospital, Air Force Medical University. His role encompasses both clinical practice and leading research initiatives. In addition, he is the Branch Secretary and Director of the Oral Medicine Teaching and Research Section. As a Doctoral Supervisor and member of various esteemed professional organizations, his influence spans across national and international levels.

Contributions and Research Focus šŸ”¬

Prof. Dr. Jiaoā€™s research primarily targets the prevention, treatment, and regenerative reconstruction of temporomandibular joint disorders. Leading numerous high-level research projects, his groundbreaking work in regenerative techniques has advanced the understanding and treatment of joint disorders, focusing on enhancing patient outcomes. His contributions have garnered numerous awards and recognition for scientific progress in stomatology.

Impact and Influence šŸŒ

Prof. Dr. Jiao has left a significant mark on the field, with his research being cited over 3,200 times globally. He has earned recognition as a scientist in the top 2% worldwide. His work has shaped clinical practices and continues to influence stomatology, earning him a reputation as a global leader in his field. He is also a sought-after reviewer and editor for numerous prestigious journals.

Academic Cites šŸ“š

Over the last five years, Prof. Dr. Jiaoā€™s research has been cited more than 3,200 times, with over 20 of his papers having an impact factor (IF) greater than 10. His extensive body of work has set new benchmarks in oral medicine, influencing clinical practices and advancing the understanding of temporomandibular joint disorders.

Legacy and Future Contributions šŸŒ±

Prof. Dr. Jiaoā€™s legacy is rooted in innovation, mentorship, and exceptional research. His groundbreaking studies and pioneering therapeutic techniques have solidified his position as a global leader in stomatology. Committed to advancing temporomandibular joint disorder research, he remains dedicated to the development of regenerative treatments and fostering international collaborations for future advancements.

Awards and Recognitions šŸ†

Prof. Dr. Jiao has received multiple accolades, including the prestigious First Prize from the Chinese Stomatological Association and for Scientific Progress in Shaanxi Province. He has been recognized as a Young Top Talent of the National "Ten Thousand Talents Program" and a Distinguished Young Scholar in Shaanxi Province for his outstanding contributions to research and innovation.

Patents and Technology Transfer šŸ› ļø

Prof. Dr. Jiao has contributed significantly to applied science, holding 29 invention patents, with 16 attributed to him as the primary inventor. His patents have led to the commercialization of advanced technologies, contributing to the academic and industrial sectors with a total transfer value exceeding 10 million yuan.

Collaborations and Professional Memberships šŸ¤

Prof. Dr. Jiaoā€™s collaborations with global experts such as Professor Xu Cao (Johns Hopkins University) and Professor Jiang Chang (Chinese Academy of Sciences) have enhanced his international influence. He holds leadership positions in several national and regional scientific organizations, including the Shaanxi Provincial Stomatological Association and the Shaanxi Oral Physicians Association, contributing to the progress of the field.

Books Published and Editorial Appointments šŸ“–

Prof. Dr. Jiao has actively contributed to academic literature, participating in the compilation and translation of 12 books, and serving as the chief editor for four of them. His editorial roles in national and international journals reflect his dedication to advancing knowledge in the field of stomatology.

Areas of Research šŸ”

His ongoing research focuses on the prevention, treatment, and regenerative regeneration of temporomandibular joint disorders, striving to develop innovative therapies that improve patient care and outcomes globally. His work continues to shape the future of stomatology and has made a lasting impact on medical practices worldwide.

Top Noted Publications šŸ“–

Pathological mechanism of chondrocytes and the surrounding environment during osteoarthritis of temporomandibular joint

Authors: Li B, Guan G, Mei L, Jiao K, Li H

Journal: Journal of Cellular and Molecular Medicine

Year: 2021

Crosstalk between Bone and Nerves within Bone

Authors: Wan QQ, Qin WP, Ma YX, Shen MJ, Li J, Zhang ZB, Chen JH, Tay FR, Niu LN, Jiao K

Journal: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

Year: 2021

Matrix stiffening by self-mineralizable guided bone regeneration

Authors: Li J, Yan JF, Wan QQ, Shen MJ, Ma YX, Gu JT, Gao P, Tang XY, Yu F, Chen JH et al.

Journal: Acta Biomaterialia

Year: 2021

miR-200-3p suppresses cell proliferation and reduces apoptosis in diabetic retinopathy via blocking the TGF-Ī²2/Smad pathway

Authors: Xue L, Xiong C, Li J, Ren Y, Zhang L, Jiao K, Chen C, Ding P

Journal: Bioscience Reports

Year: 2020

The 14-3-3Ī·/GSK-3Ī²/Ī²-catenin complex regulates EndMT induced by 27-hydroxycholesterol in HUVECs and promotes the migration of breast cancer cells.

Authors: Zhen J, Jiao K, Yang K, Wu M, Zhou Q, Yang B, Xiao W, Hu C, Zhou M, Li Z

Journal: Cell Biology and Toxicology

Year: 2020

Haixia Mao | Data Science | Best Researcher Award

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Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

šŸ‘Øā€šŸŽ“Professional Profile

Scopus Profile

šŸ‘©ā€šŸ« Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

šŸŽ“ Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

šŸ’¼ Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

šŸ“š Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

šŸ… Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

šŸ’» Technical Skills

Dr. Maoā€™s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

šŸ“š Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

šŸ“–Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

Ā When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

Aram Papoyan | Data Analysis Innovation | Best Researcher Award

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Prof. Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan at Institute for Physical Research, NAS of Armenia, Armenia

šŸ‘Øā€šŸŽ“Ā  Profiles

šŸŒŸ Summary

Prof. Aram Papoyan is a distinguished expert in Laser Physics and Optics, known for his extensive research and leadership at the Institute for Physical Research in Armenia. He has played a pivotal role in international scientific collaborations.

šŸŽ“ Education

He earned his Master in Radiophysics from Yerevan State University in 1982, followed by a PhD in Optics from the Institute for Physical Research, NAS Armenia in 1991. In 2005, he completed his DSc in Laser Physics.

šŸ’¼ Professional Experience

Prof. Papoyan has served as Director of the Institute for Physical Research since 2006 and heads the Laboratory of Optics. His previous roles include Vice-Director and Senior Researcher across various positions since 1986. He also supervises PhD students at the Russian-Armenian University.

šŸ† Accolades and Recognition

He has received the Anania Shirakatsi Medal (2013) and the Galileo Galilei Award (2015) from the International Commission for Optics. Additionally, he was honored as an OSA Advocate of Optics in 2019 and holds multiple awards for contributions to physics.

šŸ”¬ Research Interests

Prof. Papoyan focuses on Laser Physics, Atomic Physics, and Quantum Optics, with interests in coherent population trapping, magneto-optical effects, and advanced optical imaging techniques, as well as laser-induced reactions and molecular spectroscopy.

 

šŸ“– Top Noted Publications

Scanning technique for direct optical transmission imaging of highly-scattering objects
    • Authors: Svetlana Shmavonyan, Aleksandr Khanbekyan, Marina Movsisyan, Aram Papoyan
    • Journal: Optics and Lasers in Engineering
    • Year: 2025
Electromagnetically induced transparency with magnetically induced Ī”F = 0, mF = 0 ā†’ mF = 0 probe transition
    • Authors: Armen Sargsyan, David Sarkisyan, Aram Papoyan
    • Journal: Laser Physics
    • Year: 2024
Mirrorless Lasing: A Theoretical Perspective
    • Authors: A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya
    • Journal: Optical Memory and Neural Networks
    • Year: 2023
Peculiarities of Fluorescence of Rb Atomic Vapors Contained in a cell with an anti-relaxation coating
    • Authors: Aram Papoyan
    • Journal: Optics and Spectroscopy
    • Year: 2023
Wide range linear magnetometer based on a sub-microsized K vapor cell
    • Authors: M. Auzinsh, A. Sargsyan, A. Tonoyan, C. Leroy, R. Momier, D. Sarkisyan, A. Papoyan
    • Journal: Applied Optics
    • Year: 2022

Cancellation of D1 line transitions of alkali-metal atoms by magnetic-field values

    • Authors: Artur Aleksanyan, Rodolphe Momier, Emil Gazazyan, Aram Papoyan, Claude Leroy
    • Journal: Physical Review A
    • Year: 2022

Liu Yang | Bioinformatics | Best Researcher Award

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Prof Dr. Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang at Department of General Surgery, Jiangsu Cancer Hospital, China

šŸ‘Øā€šŸŽ“ Profile

šŸ‘Øā€āš•ļø Current Position

Prof. Dr. Yang Liu is a Chief Physician and Associate Professor, serving as the Deputy Head of General Surgery at Jiangsu Cancer Hospital and the Head of Colorectal Surgery at Nanjing Medical University.

šŸ“œ Summary

Yang Liu is a prominent figure in colorectal surgery, also acting as a Masterā€™s Supervisor and visiting overseas researcher at Thomas Jefferson Universityā€™s BluConner Hospital. His work has earned him multiple accolades in cancer research.

šŸŽ“ Education

Yang has completed his medical degree and advanced training in colorectal surgery, although specific institutions are not detailed here.

šŸ„ Professional Experience

With a focus on complex minimally invasive surgeries, he performs over 150 advanced procedures annually and actively participates in various national and provincial medical associations.

šŸ”¬ Research Interests

His research primarily explores ncRNA genomics in relation to colorectal cancer progression and metastasis, alongside developing innovative surgical techniques.

šŸ’” Patents

Yang holds several patents, including:

  • 2024: Combination of Scutellarein for colorectal cancer treatment.
  • 2023: Multi-angle puncture holder.
  • 2020: Circ-0000423 for colorectal cancer drug development.
  • 2019: Surgical retractor for lower abdominal tumors.

šŸ† Awards

He has received notable awards such as:

  • 2021: 2nd Prize for New Medical Technology in Jiangsu for epigenetic fusion in colorectal cancer.
  • 2019: 2nd Prize for his study on LINC00152 in colorectal cancer.
šŸ“–Ā  Top Noted Publications

LUCAT1 inhibits ferroptosis in bladder cancer by regulating the mRNA stability of STAT3

  • Authors: Cao, Y., Zou, Z., Wu, X., Hu, J., Yang, L.
    Journal: Gene
    Year: 2024

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

  • Authors: Ye, Y.-X., Yang, L., Kang, Z., Du, M., Li, Z.-X.
    Journal: World Journal of Gastrointestinal Oncology
    Year: 2024

Emerging Role of ERBB2 in Targeted Therapy for Metastatic Colorectal Cancer: Signaling Pathways to Therapeutic Strategies

  • Authors: Wang, N., Cao, Y., Si, C., Bao, J., Yang, L.
    Journal: Cancers
    Year: 2022

FBXW7 and Its Downstream NOTCH Pathway Could be Potential Indicators of Organ-Free Metastasis in Colorectal Cancer

  • Authors: Li, D., Jiang, S., Zhou, X., Sun, Y., Yang, L.
    Journal: Frontiers in Oncology
    Year: 2022

Anal preservation on the psychology and quality of life of low rectal cancer

  • Authors: Mei, F., Yang, X., Na, L., Yang, L.
    Journal: Journal of Surgical Oncology
    Year: 2022

Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

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Dr. Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy at Programme National de Lutte contre le Sida, Congo, Democratic Republic of the

Professional ProfilešŸ‘Øā€šŸŽ“

Ā šŸ‘¤ Summary

Richard Ingwe Chuy is a Congolese expert in methodology and statistics, specializing in biomedical research and data science. With over eight years of experience, he provides consultancy services and training in research design and statistical analysis, particularly in public health and epidemiology.

šŸŽ“ Education

  • Doctorant en Technologie de lā€™Information, SpĆ©cialitĆ© Science des DonnĆ©es
    Bircham International University, Espagne & Delaware (Mai 2022)
  • Master 2 en MĆ©thodologie et Statistiques en Recherche BiomĆ©dicale
    UniversitƩ Paris Saclay, France (2020/2021)
  • Master 1 en MĆ©thodes en SantĆ© Publique
    UniversitƩ Paris Saclay, France (2019/2020)
  • DiplĆ“me en MĆ©decine GĆ©nĆ©rale
    UniversitƩ de Lubumbashi (UNILU), RƩpublique DƩmocratique du Congo (2013)

šŸ’¼ Professional Experience

Richard is currently a Consultant IndƩpendant, providing expertise in methodology and statistics to various organizations. He facilitates training on data analysis and research design. Previously, he worked at the Programme National de Lutte contre le VIH/SIDA et les IST in the Ministry of Health, DRC, and has experience in clinical medicine in Lubumbashi.

šŸ”¬ Research Interests

His research interests include methods in epidemiology and clinical studies, predictive analysis, and qualitative research. Richard is also focused on gender, human rights, and vulnerability reduction in public health contexts.

šŸ¤ Professional Affiliations

Richard is a member of several professional organizations, including the International Aids Society (IAS), AFRAVIH, and the CQUIN network.

šŸ’» Technical Skills

He possesses advanced skills in Microsoft Office, R, Python, SAS, and qualitative analysis software (Nvivo, QDA Miner Lite), as well as experience in electronic questionnaire design (CoboCollect, ODK).

 

Top Noted Publications šŸ“–

Unsuppressed HIV Viral Load and Related Factors in Patients Receiving Antiretroviral Treatment in Tanganyika Province, Democratic Republic of Congo (DRC)
  • Authors: Michel Luhembwe, Richard Ingwe, AimĆ©e Lulebo, Dalau Nkamba, John Ditekemena
  • Journal: BioMed
  • Volume: 4
  • Issue: 3
  • Pages: 27
  • Year: 2024

Zeina Youssef | Data Science | Best Researcher Award

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Mrs. Zeina Youssef | Data Science | Best Researcher Award

Mrs. Zeina Youssef at Ecole Centrale de Lyon, France

šŸ‘Øā€šŸŽ“ Profile

šŸŒŸ Early Academic Pursuits

Zeina Youssef embarked on her academic journey with a strong foundation in materials chemistry, starting with her Masterā€™s degrees in Refining and Hydrocarbon Technology from the Lebanese University. Her early research during a Master 2 internship at the Applied Chemistry Laboratory involved the synthesis, immobilization, and characterization of silicic mesoporous materials under the supervision of Dr. Mohamad El-Eter. This experience was pivotal, providing Zeina with critical skills in material synthesis and laying the groundwork for her future research endeavors.

šŸ› ļø Professional Endeavors

Zeinaā€™s professional career was significantly shaped during her PhD at the Chemistry Laboratory of ENS de Lyon from September 2019 to December 2022. Under the guidance of Pr. Laurent Bonneviot and Dr. Mohamad El-Eter, she focused on the characterization, adsorption, and stability of chlorohydroxoaurate(III) anions in titanium-modified hexagonal mesoporous silicas. Her work included engineering mesoporous silicic materials, controlling porous size, and utilizing microwave synthesis. Zeina also played a key role in teaching practical chemistry at the M1 level and supervising a Master 2 student. Her presentations at international conferences and a research contract with L’OrĆ©al further highlight her professional achievements and industry collaboration.

šŸ”¬ Contributions and Research Focus

Zeinaā€™s research has made significant contributions to the field of materials chemistry, particularly in the development of titanium-modified mesoporous materials. Her work involved advanced characterization techniques such as UV-Visible spectroscopy, infrared spectroscopy, and X-ray diffraction. One of her notable contributions is the publication on “Revisited UV-spectra of chlorohydroxoaurate anions” in Spectrochimica Acta Part A, which underscores her commitment to advancing the understanding of chemical systems and materials stability.

šŸ… Accolades and Recognition

Throughout her career, Zeina has received recognition for her innovative research and contributions to materials chemistry. Her participation in international congresses and national symposiums, coupled with her role in organizing the French Chemists Tournament, reflects her growing influence in the scientific community. Although her career is still developing, her achievements demonstrate a strong foundation for future accolades and impact in her field.

šŸŒ Impact and Influence

Zeinaā€™s work in materials chemistry has had a notable impact, particularly in the areas of material stability and advanced characterization. Her research on titanium-modified mesoporous silicas contributes to both academic knowledge and practical applications, influencing how materials are designed and utilized. Her innovative approaches and thorough analyses drive forward advancements in material science and have the potential to address key challenges in the industry.

šŸš€ Legacy and Future Contributions

Looking ahead, Zeina Youssef is well-positioned to continue making significant contributions to materials chemistry. Her expertise and innovative research set the stage for future advancements and technological developments. With a commitment to both research and education, Zeina is likely to leave a lasting legacy in the field, inspiring future scientists and continuing to drive progress in material science.

šŸ“– Publications
Revisited UV-spectra of chlorohydroxoaurate anions
  • Authors: Youssef, Z., El Eter, M., Albela, B., Bonneviot, L.
  • Journal: Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy
  • Year: 2025

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

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Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

šŸ‘Øā€šŸŽ“ Profile

šŸ§  Early Academic Pursuits

Dr. Mohammad Reza Ahangariā€™s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

šŸ’¼ Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

šŸ”¬ Contributions and Research Focus

Dr. Ahangariā€™s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

šŸ† Accolades and Recognition

Dr. Ahangariā€™s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

šŸŒŸ Impact and Influence

Dr. Ahangariā€™s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

šŸŒ± Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

šŸ“– Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

    • Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
    • Journal: Journal of Alloys and Compounds
    • Year: 2024

A generalized optimization-based generative adversarial network

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
    • Journal: Expert Systems with Applications
    • Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
    • Journal: Mathematics
    • Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

    • Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
    • Journal: Electrochimica Acta
    • Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

    • Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
    • Journal: Journal of Cleaner Production
    • Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-Ī“ perovskite oxides as a supercapacitor electrode material

    • Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
    • Journal: Journal of Energy Storage
    • Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

    • Authors: Ahangari, M., Mahmoodi, E., Delibaş, N., Asghari, E., Niaei, A.
    • Journal: Turkish Journal of Chemistry
    • Year: 2022