Dr Jayadevan CM | Econometrics | Best Researcher Award |

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Dr. Jayadevan CM | Econometrics | Best Researcher Award.

University of New England,Australia

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Dr. Jayadevan CM is a highly experienced data analyst and economist with over 16 years of expertise in extracting, interpreting, and presenting extensive datasets to enhance expenditure efficiency. His proficiency in statistical methods, predictive modeling, and data mining has significantly contributed to strategic decision-making in various organizational settings. With a strong educational background and numerous professional certifications, Dr. Jayadevan has authored several influential research papers, highlighting his commitment to advancing knowledge in his field. His work is characterized by keen attention to detail, excellent communication skills, and effective problem-solving abilities, making him a valuable asset in the realm of data analysis and economics.

🎓 Education:

Dr. Jayadevan CM holds a Doctor of Philosophy in Economics from the University of New England, Australia, under the supervision of A/Prof. Nam Hoang and A/Prof. Subba Yarram. He also earned a Doctor of Philosophy in Economics from Jawaharlal Nehru University, supervised by Prof. G.S. Bhalla. He holds a Master of Science in Data Science from Swinburne University of Technology, Australia, and a Bachelor of Science in Mathematics from Charles Sturt University, Australia. Additionally, he earned a Master of Arts in Economics from Calicut University. Dr. Jayadevan has numerous professional certifications, including MCP: Microsoft Azure Data Engineer Associate, MCSA: Microsoft Certified System Associate in SQL Server 2016, MCP: Azure Fundamentals, ORACLE Certified Data Professional, and AWS Certified Database – Specialty.

🔍 Research Focus:

Dr. Jayadevan’s research focuses on applying statistical methods to large datasets, ensuring data accuracy and reliability through quality control measures. He specializes in predictive modeling to forecast trends and outcomes and utilizes data mining methodologies to extract meaningful patterns and insights. His work significantly contributes to strategic decision-making by providing data-driven insights and translating complex data into actionable recommendations for stakeholders. His research interests also include healthcare spending, globalization effects, governance, innovation, economic growth, and urbanization impacts.

🏆 Honors & Awards:

Dr. Jayadevan has received recognition for his extensive contributions to the field of data analysis and economics. His research has been published in various esteemed journals, showcasing his expertise and impact on the field. His certifications and educational achievements further underscore his commitment to professional growth and excellence.

Professional Experience: 💼

Dr. Jayadevan has over 16 years of experience as a data analyst. From January 2022 to March 2024, he served as a Research Fellow at the University of New England, where he worked with large datasets, applied statistical methods, and ensured data accuracy. He played a key role in shaping business strategies based on analytical findings and communicated complex information effectively to both technical and non-technical audiences. Prior to this, he worked as a Senior Data Consultant at Fujitsu Australia Pty Ltd from October 2005 to December 2021. His responsibilities included data gathering, pre-processing, analysis, and visualization, as well as building predictive models and providing actionable insights to stakeholders.

 📚 Top Noted Publications :

Healthcare spending in high-income and upper-middle-income countries: a cross-country analysis

Authors: Jayadevan CM; Nam Trung Hoang

Journal: Discover Health Systems

Year: 2024

DOI: 10.1007/s44250-024-00099-1

 

Spillover effects of globalization using alternative spatial approaches

Authors: CM Jayadevan; Nam Hoang; Subba Yarram

Journal: Applied Economics

Year: 2024

DOI: 10.1080/00036846.2024.2364118

 

Role of Governance in Transition from Middle-Income Trap

Authors: CM Jayadevan; Nam Trung Hoang; Subba Reddy Yarram

Journal: The Singapore Economic Review

Year: 2024

DOI: 10.1142/s0217590824500255

ISSN: 0217-5908, 1793-6837

 

The transition from middle-income trap: role of innovation and economic globalisation

Authors: Jayadevan CM; Nam Trung Hoang; Subba Reddy Yarram

Journal: Applied Economics

Year: 2024

DOI: 10.1080/00036846.2023.2267821

 

Human capital and the middle-income trap revisited

Authors: Jayadevan CM; Nam Trung Hoang; Subba Reddy Yarram

Journal: Applied Economics

Year: 2023

DOI: 10.1080/00036846.2022.2121379

Author Metrics 📊 : 

Dr. Jayadevan’s research has been widely recognized and cited in the academic community. His work has contributed to advancing knowledge in the fields of data analysis and economics, with numerous publications in high-impact journals. His author metrics reflect his influence and the significance of his research contributions.

📅 Research Timeline:

Dr. Jayadevan’s research journey spans over a decade, with continuous contributions to the fields of data analysis and economics. His career began in 2005 at Fujitsu Australia Pty Ltd, where he honed his skills as a data consultant. He later transitioned to academia, serving as a Research Fellow at the University of New England from 2022 to 2024. Throughout his career, he has consistently demonstrated his expertise in handling large datasets, applying statistical methods, and providing actionable insights for strategic decision-making. His extensive research has been instrumental in addressing complex economic and data analysis challenges.

Dr abeer alassod | material science | Best Researcher Award |

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Dr. abeer alassod | material science  | Best Researcher Award.

damascus university, Syria

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Dr. Abeer Alassod is a distinguished Syrian academic and researcher specializing in textile engineering. She currently serves as a teacher at the Faculty of Mechanical and Electrical Engineering at Damascus University, Syria. With a robust background in textile materials and design, Dr. Alassod has significantly contributed to the field through her innovative research and numerous publications.

🎓 Education:

Ph.D. Degree: Dr. Alassod earned her Ph.D. in Textile Materials and Textile Design from Donghua University in Shanghai, China, between September 2016 and June 2021. Her doctoral research focused on advanced textile materials and their applications in environmental remediation.

📜 Master’s Degree: She holds two master’s degrees from the Mechanical and Electrical University in Damascus, Syria. She completed her master’s in Textile Administration and Textile Spinning from September 2013 to July 2015, gaining expertise in both managerial and technical aspects of the textile industry.

🎓 Bachelor’s Degree: Dr. Alassod completed her bachelor’s degree in Mechanical Textile Engineering at the same university, from September 2007 to June 2010, laying a solid foundation for her future research and academic endeavors.

🔍 Research Focus:

Dr. Alassod’s research primarily revolves around the development of advanced textile materials, including nanocomposites and nonwovens, for environmental applications such as wastewater cleanup and oil spill remediation. She is particularly interested in the functionalization of textiles to enhance their antibacterial, thermal, and wettability properties.

🏆 Honors & Awards:

Throughout her academic journey, Dr. Alassod has received numerous accolades. She was recognized as an outstanding student during her Ph.D. studies in 2019, 2020, and 2021. Additionally, she was awarded the first prize for the best thesis in 2021 and achieved the top score in the comprehensive exam during her master’s studies in 2012.

Professional Experience: 💼

Dr. Alassod has extensive teaching experience at Damascus University, where she lectures on polymer science, administration management, quality control, mathematics, natural and synthetic raw materials, and spinning technology. Her practical experience is complemented by her role in guiding research projects and supervising students.

📚 Top Noted Publications :

Polypropylene/lignin blend monoliths used as sorbent in oil spill cleanup

Authors: A. Alassod, M. Gibril, S.R. Islam, W. Huang, G. Xu

Journal: Heliyon

Volume: 6(9)

Pages: 27

Year: 2020

 

Evaluation of polypropylene melt blown nonwoven as the interceptor for oil

Authors: A. Alassod, M.A. Abedalwafa, G. Xu

Journal: Environmental Technology

Volume: 42(18)

Pages: 2784-2796

Year: 2021

 

Fabrication of polypropylene/lignin blend sponges via thermally induced phase separation for the removal of oil from contaminated water

Authors: A. Alassod, S.R. Islam, A. Farooq, G. Xu

Journal: SN Applied Sciences

Volume: 2

Pages: 1-10

Year: 2020

 

Cotton-based health care textile: a mini review

Authors: M. Shahriari-Khalaji, A. Alassod, Z. Nozhat

Journal: Polymer Bulletin

Volume: 79(12)

Pages: 10409-10432

Year: 2022

 

Polypropylene/lignin/POSS nanocomposites: Thermal and wettability properties, application in water remediation

Authors: A. Alassod, S.R. Islam, M.S. Khalaji, R. Tusiime, W. Huang, G. Xu

Journal: Materials

Volume: 14(14)

Pages: 3950

Year: 2021

Author Metrics 📊 : 

Dr. Alassod’s research has garnered significant attention, reflected in the high impact factors of the journals in which she publishes. Her work has been cited extensively, demonstrating her influence and contribution to the field of textile materials and environmental remediation.

📅 Research Timeline:

 Dr. Alassod’s research journey began with her bachelor’s degree in 2007, followed by her master’s studies in 2013. Her Ph.D. research, conducted between 2016 and 2021, marked a significant period of scholarly output and innovation. She continues to advance her research and contribute to the scientific community through her ongoing projects and collaborations.

Assoc Prof Dr Sultan Khan | Computer vision | Best Researcher Award |

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Assoc Prof Dr. Sultan Khan | Computer vision | Best Researcher Award.

National University of Technology,Pakistan

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Sultan Daud Khan is an accomplished researcher and academic, currently serving as the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024. He is also an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad, Pakistan, a position he has held since October 2019.

🎓 Education:

Dr. Khan’s academic journey includes a Ph.D. in Computer Science from the University of Milano-Bicocca in Italy (2013–2016). He earned his MSc in Electronics and Communication Engineering from Hanyang University in South Korea (2008–2008) and completed his BSc in Computer System Engineering from the University of Engineering and Technology in Peshawar, Pakistan (2001–2005).

🔍 Research Focus:

Dr. Khan’s research interests are diverse and include artificial intelligence, image processing, video watermarking, EEG/brain signal analysis, human action recognition, computer vision algorithms on FPGAs, and embedded systems design. His work aims to advance knowledge and practical applications in these areas, contributing significantly to the field.

🏆 Honors & Awards:

In 2023, Dr. Khan was recognized as one of the world’s top 2% of scientists in the field of Artificial Intelligence according to Stanford University’s ranking index. This prestigious recognition underscores his significant contributions and impact in his field of expertise.

Professional Experience: 💼

Dr. Khan has held several key positions throughout his career. He is the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024 and has been an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad since October 2019. His roles have involved significant academic leadership and research responsibilities.

📚 Top Noted Publications :

Detecting Drones Using Deep Convolutional Neural Networks

Authors: M. Saqib, S.D. Khan, N. Sharma, M. Blumenstein
Conference: 2017 14th IEEE International Conference on Advanced Video and Signal Based
Year: 2017
Citations: 206

A Survey of Advances in Vision-Based Vehicle Re-Identification

Authors: S.D. Khan, H. Ullah
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 161

Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble

Authors: H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S.D. Khan, F.A. Cheikh
Journal: IEEE Access
Year: 2019
Citations: 125

Stacked LSTM Network for Human Activity Recognition Using Smartphone Data

Authors: M. Ullah, H. Ullah, S.D. Khan, F.A. Cheikh
Conference: 2019 8th European Workshop on Visual Information Processing (EUVIP)
Year: 2019
Citations: 117

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Authors: S. Basalamah, S.D. Khan, H. Ullah
Journal: IEEE Access
Year: 2019
Citations: 69

Analyzing Crowd Behavior in Naturalistic Conditions: Identifying Sources and Sinks and Characterizing Main Flows

Authors: S.D. Khan, S. Bandini, S. Basalamah, G. Vizzari
Journal: Neurocomputing
Year: 2016
Citations: 67

Author Metrics 📊 : 

Dr. Khan’s author metrics highlight his research impact, with numerous citations and high h-index scores that demonstrate his influence and recognition in the scientific community. His contributions have been acknowledged globally, enhancing his reputation as a leading researcher in his fields of interest.

📅 Research Timeline:

Dr. Khan’s research timeline showcases his continuous and progressive contributions to various domains of computer science and engineering. From his early work in embedded systems to his current focus on artificial intelligence and brain signal analysis, his research has evolved and expanded, reflecting his dedication to advancing technology and knowledge.