Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

Posted on by ScienceFather

Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

Prof. Syafruddin Side, Makassar State University, Indonesia.

Prof. Dr. Syafruddin Side is a distinguished mathematician specializing in mathematical modeling, dynamical systems, and differential equations. He is a faculty member in the Department of Mathematics at the Faculty of Mathematics and Science, Universitas Negeri Makassar, Indonesia. He earned his Bachelor’s degree in Applied Mathematics from Hasanuddin University (1991-1996), followed by a Master’s degree in Analysis and Applied Mathematics from Bandung Institute of Technology (2000-2003), and a Ph.D. in Applied Mathematics from the National University of Malaysia (2009-2013). His doctoral research focused on mathematical modeling of the spread of dengue viruses in Indonesia and Malaysia. With an h-index of 18 on Google Scholar and 13 on Scopus, he has made significant contributions to his field through numerous publications. His research interests lie in solving complex mathematical problems using analytical and computational techniques.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Based on Prof. Dr. Syafruddin Side’s research profile, he appears to be a strong candidate for the Best Researcher Award, given his expertise and contributions in applied mathematics, particularly in mathematical modelling, dynamical systems, and differential equations. Below is a detailed evaluation of his suitability for the award.

🎓 Education Background

  • S-1 (Bachelor’s Degree) – 📍 Hasanuddin University (1991-1996)

    • Field: Applied Mathematics
    • Thesis: Solution of Poisson Equation with Boundary Element Method
    • Supervisor: Dr. Jeffry Kusuma

  • S-2 (Master’s Degree) – 📍 Bandung Institute of Technology (2000-2003)

    • Field: Analysis and Applied Mathematics
    • Thesis: Analytical Perturbation for General Characteristics Value Semi-Simple
    • Supervisor: Prof. Dr. Wono Setya Budi

  • S-3 (Doctoral Degree, Ph.D.) – 📍 National University Malaysia (2009-2013)

    • Field: Applied Mathematics
    • Thesis: SIR and SEIR Mathematical Models for the Spread of Dengue Viruses in South Sulawesi, Indonesia, and Selangor, Malaysia
    • Supervisor: Prof. Dr. Mohd. Salmi Md. Noorani

👨‍🏫 Work Experience

  • Professor at the Department of Mathematics, Faculty of Mathematics and Science, Universitas Negeri Makassar (UNM) 📍🇮🇩
  • Researcher in Mathematical Modeling, Dynamical Systems, and Differential Equations
  • Mentor & Supervisor for Master’s and Ph.D. Students 🎓✍️

🏆 Achievements, Awards & Honors

  • H-index: 📊
    • Google Scholar: 18
    • Scopus: 13
  • Published in Renowned Journals 📚
  • Invited Speaker at International Conferences 🎤🌍
  • Recognized for Contributions to Mathematical Modeling in Epidemiology 🦠📈
  • Contributor to National and International Research Projects 🔬💡

Publication Top Notes:

Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia

CITED:490

A SIR model for spread of dengue fever disease (simulation for South Sulawesi, Indonesia and Selangor, Malaysia)

CITED:172

SEIR model for transmission of dengue fever in Selangor Malaysia

CITED:102
CITED:98
CITED:69

Dr. Li Qin | Monitoring Award | Best Researcher Award

Posted on by ScienceFather

Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

🎓 Education:

  • B.E. in Safety Engineering – Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering – Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering – Zhejiang University, Hangzhou (2004)

💼 Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004–2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

🏆 Achievements & Contributions:

  • 📚 Published over 100 research articles
  • 🔬 Invented approximately 20 innovations
  • 🛠️ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • 📝 Editor of Journal of Vibration, Measurement & Diagnosis

🏅 Awards & Honors:

  • 🎖️ Recognized for contributions in mechanical engineering and diagnostics
  • 🏅 Honored for advancements in fault diagnosis and condition monitoring
  • 🔍 Acknowledged for outstanding research and academic contributions in mechanical dynamics

Publication Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen, Hohai University, China

Junfeng Chen is an accomplished Associate Professor at the College of Artificial Intelligence and Automation at Hohai University in Changzhou, Jiangsu, China. She holds a Ph.D. in Control Science and Engineering from Zhejiang University, where her dissertation focused on stagnation analysis of computational intelligence approaches. Chen also completed her M.Sc. in Automation at Harbin University of Science and Technology, concentrating on multi-sensor information fusion and its applications in mobile robotics. With a career at Hohai University spanning over a decade, she has progressed from Associate Lecturer to Lecturer, and now to Associate Professor, contributing significantly to the fields of artificial intelligence and automation. Her research interests encompass various aspects of computational intelligence, and she has published several papers in reputable journals, reflecting her commitment to advancing knowledge in her field.

Professional Profile:

ORCID

Suitability of Junfeng Chen for the Best Researcher Award

Based on the provided Curriculum Vitae, Junfeng Chen (陈俊风) demonstrates strong qualifications and achievements that make her a suitable candidate for the Best Researcher Award. Here are the key points supporting this opinion.

Education 🎓

  • Ph.D. in Control Science and Engineering
    Zhejiang University (ZJU), Hangzhou, Zhejiang, P. R. China
    Sep. 2007 – Sep. 2011
    Dissertation Topic: Stagnation Analysis of a Class of Computational Intelligence Approaches
    Supervisor: Prof. Tiejun Wu
  • M.Sc. by Research in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 2001 – Apr. 2004
    Dissertation Topic: Multi-sensor Information Fusion and Its Application in Mobile Robots
    Supervisor: Prof. Hua Sun
  • B.Sc. in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 1997 – Jul. 2001

Work Experience 💼

  • Associate Professor
    College of Artificial Intelligence and Automation, Hohai University (HHU), Changzhou, China
    Jan. 2015 – Present
  • Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Aug. 2007 – Dec. 2014
  • Associate Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Apr. 2004 – Jun. 2007

Achievements & Awards 🏆

  • Best Paper Award
    Awarded for outstanding research publication at the International Conference on Artificial Intelligence and Automation (ICAA).
  • Research Grant Recipient
    Received funding for research on multi-sensor information fusion from the National Natural Science Foundation of China.
  • Excellent Teacher Award
    Recognized for excellence in teaching at Hohai University, awarded by the College of Artificial Intelligence and Automation.
  • Outstanding Contribution Award
    Honored for significant contributions to the field of computational intelligence and automation at national conferences.

Publication Top Notes:

 

Dr. Jiaying Sun | Condition Monitoring Award | Best Researcher Award

Posted on by ScienceFather

Dr. Jiaying Sun | Condition Monitoring Award | Best Researcher Award 

Dr. Jiaying Sun, Northwestern Polytechnical University, china

Jiaying Sun is a researcher affiliated with Northwestern Polytechnical University in China, where she has made significant contributions to the field of acoustic emission and structural health monitoring. Her research focuses on acoustic emission source localization, friction-related acoustic emission in bolted joints, and guided wave propagation. Jiaying Sun has published several influential papers in prominent journals such as Sensors, Tribology Letters, Journal of Sound and Vibration, and Structural Health Monitoring. Her work often combines experimental and numerical methods, exploring areas such as phased array methods, fretting friction, and time-domain spectral finite element simulations. Sun has also presented her research at international conferences like the ASME International Mechanical Engineering Congress and Exposition.

Professional Profile:

Summary of Suitability for Best Researcher Award :

Jiaying Sun’s research primarily focuses on acoustic emission, friction, and structural health monitoring, with a strong emphasis on the application of advanced numerical and experimental methods. The following points summarize the key aspects of her work

Education:

  • Ph.D. Candidate (expected completion 2024), likely in Mechanical or Aerospace Engineering, based on her research topics. Her affiliation with Northwestern Polytechnical University suggests she is conducting research in a field related to Acoustic Emission, Tribology, and Structural Health Monitoring.
  • Master’s Degree (expected completion before 2021), likely in a related field such as Mechanical Engineering or Structural Health Monitoring.
  • Bachelor’s Degree (likely completed prior to her master’s degree), in a related field, likely at Northwestern Polytechnical University or another prestigious engineering university in China.

Work Experience:

  • Researcher or Ph.D. Candidate at Northwestern Polytechnical University, actively involved in projects related to Acoustic Emission, Tribology, Wave Propagation, and Friction Dynamics in bolted joint structures.
  • Published multiple peer-reviewed articles in leading journals such as Sensors, Tribology Letters, International Journal of Mechanical System Dynamics, Journal of Sound and Vibration, and Structural Health Monitoring.
  • Presented at several high-profile international conferences, including the ASME International Mechanical Engineering Congress and Exposition, showcasing her research on guided wave propagation and acoustic emission source localization.

Publication top Notes:

Multiscale modeling of friction hysteresis at bolted joint interfaces

Analysis of friction‐related acoustic emission in bolted joint structures

Experimental investigation on acoustic emission in fretting friction and wear of bolted joints

 

 

 

Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

Prof Dr. Naoufal Lakhssassi, Hampton University, United States 

Dr. Naoufal Lakhssassi is an Assistant Professor at the School of Biological Sciences, Hampton University, where he leverages his expertise in plant genetics and genomics to enhance crop resistance and seed quality. With a Ph.D. in Cell and Molecular Biology from the University of Malaga, Spain, and a background in biomolecular engineering and microbiology, Dr. Lakhssassi has a distinguished career in plant research. His work has been recognized with several awards, including the Inventor of the Year Award from Southern Illinois University. His research focuses on developing soybean varieties with improved disease resistance and nutritional content. Dr. Lakhssassi holds multiple patents related to soybean genetics and has secured significant funding from agencies like the United Soybean Board and USDA-NIFA for projects aimed at advancing agricultural biotechnology.

Professional Profile:

 

Summary

Dr. Naoufal Lakhssassi’s innovative research, significant patents, successful grant applications, prestigious awards, and robust teaching background make him an excellent candidate for the Best Researcher Award. His contributions to plant genetics and biotechnology align with the criteria typically considered for such an award, showcasing both depth and breadth in his field.

Education

  • PhD in Cell and Molecular Biology, Plant Genetics, and Genomics
    Department of Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2007-2011
    Grade: Excellent (Cum-Laude)
  • Master in Biomolecular Engineering and Microbiology
    Department of Microbiology, Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2008-2010
  • Diploma of Advanced Studies (Doctorado) in Cell and Molecular Fundamentals of Living Creatures
    Department of Microbiology, Plant Pathology, and Plant-Pathogen Interaction, University of Malaga (UMA), Spain
    2005-2007
  • Bachelor Degree in Biotechnology
    Department of Biology, Abdelmalek Essaâdi University (UAE), Tangier, Morocco
    2001-2005

Work Experience

  • Associate Scientist
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    May 2018 – Present
  • Research Assistant
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    January 2018 – May 2018
  • Post-Doctoral Associate
    Southern Illinois University (SIU), Carbondale

    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2012 – March 2016
    • Department of Environmental and Civil Engineering, College of Engineering
      April 2016 – September 2016
    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2016 – September 2017

Publication top Notes:

Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN

Potential of Sorghum Seeds in Alleviating Hyperglycemia, Oxidative Stress, and Glycation Damage

Genomic Regions and Candidate Genes for Seed Iron and Seed Zinc Accumulation Identified in the Soybean ‘Forrest’ by ‘Williams 82’ RIL Population

Soybean gene co-expression network analysis identifies two co-regulated gene modules associated with nodule formation and development

Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage

 

 

Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

Assist Prof Dr. Jamil J. Jaber , Applied Science Private University, Jordan

Dr. Jamil J. Jaber is an Assistant Professor in the Department of Finance at The University of Jordan, Aqaba branch. Born on July 19, 1985, in Jordan, he holds a Ph.D. in Statistics with a specialization in Actuarial Statistics and Credit Risk from Universiti Kebangsaan Malaysia (UKM), where he earned the Central Bank of Jordan & Hussein Fund for Excellence award for the best Ph.D. dissertation in the Finance and Banking Sector. Dr. Jaber also holds a Master’s degree in Finance and Investment from Hashemite University and a Bachelor’s degree in Actuarial Science from the University of Jordan. With extensive experience in academia, Dr. Jaber has served as an Assistant Professor at the Applied Science Private University since September 2023, where he teaches undergraduate and graduate courses in Banking, Finance, FinTech, and Risk Management. He has also held instructor positions at The University of Jordan and Hashemite University, where he taught various courses related to financial risk management and insurance.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Dr. Jamil J. Jaber demonstrates exceptional qualifications and achievements that make him a strong candidate for the Best Researcher Award. His extensive academic and research background, particularly in the areas of actuarial statistics and financial risk management, underscores his expertise and impact in the field.

Education:

  1. PhD in Statistics (Actuarial Statistics and Credit Risk)
    • Institution: Universiti Kebangsaan Malaysia (UKM), Malaysia
    • Completion Date: August 2021
    • CGPA: Excellence
    • Dissertation Title: “Modeling of Corporate Credit Risks using Actuarial Techniques”
    • Note: UKM is ranked 129th in QS World University Rankings 2022/2023 and 141st in 2021/2022.
  2. Master in Finance and Investment
    • Institution: Hashemite University, Zarqa, Jordan
    • Completion Date: August 2010
    • CGPA: Excellence
  3. Bachelor in Actuarial Science
    • Institution: University of Jordan, Amman, Jordan
    • Completion Date: June 2007
    • CGPA: Very Good

Work Experience:

  1. Assistant Professor in Actuarial Statistics and Financial Risk
    • Institution: Division of Banking and Finance, The Applied Science Private University, Jordan
    • Duration: September 2023 – Present
    • Responsibilities:
      • Teaching undergraduate programs such as BA in Banking and Finance Management, BA in Financial Technology (FinTech), and risk management.
      • Teaching graduate programs such as MA in Finance and Risk Management.
  2. Instructor in Risk Management and Insurance / Finance
    • Institution: Department of Finance, The University of Jordan, Jordan
    • Duration: September 2012 – Present
    • Courses Taught:
      • Financial Risk Management
      • Credit Management
      • Financial Derivatives
      • Portfolio Management
      • Investment Management
      • Risk Assessment
      • Computer Applications for Finance and Risk Management
      • Essentials of Actuarial Sciences
      • Special Topics in Risk Management and Insurance
      • Insurance Companies Management
      • Property and Liability Insurance
      • Life and Health Insurance
      • Principle of Insurance
      • Sampling Theory and its Application
  • Actuarial Consultation
    • Actuarial and Financial Study for various associations and councils, including the Jordan Nurses and Midwives Council, Jordanian Geology Association, and Jordanian Dental Association.
    • Consultation on Actuarial Statistics, including comprehensive evaluations in collaboration with the United States Agency for International Development (USAID) and the Ministry of Investment in Jordan.
  • Academic Experience:
    • Member of the proceedings and scientific committee for the 5th International Conference on Mathematical Sciences (ICMS5 2023) at Universiti Kebangsaan Malaysia (UKM), Malaysia.
    • Contributor to the planning and scientific committees for undergraduate programs at the Department of Finance, The University of Jordan, Jordan (2013 – Present).

Publication top Notes:

Evaluation of Total Risk-Weighted Assets in Islamic Banking through Fintech Innovations

Enhancing Predictive Accuracy through the Analysis of Banking Time Series: A Case Study from the Amman Stock Exchange

Multi-Layer Perceptron-Based Classification with Application to Outlier Detection in Saudi Arabia Stock Returns

Enhancing Predictive Accuracy of Insurance Stock Market in Jordan using Hyprid GFS.Thrift Model: A Genetic Fuzzy System-based Fintech Approach

Selection process real-life application for new type complex neutrosophic sets using various aggregation operators

A predictive modeling for health expenditure using neural networks strategies