Issam Khelfaoui | Information and communication Technonolgies on future of health | Best Researcher Award

Issam Khelfaoui | Information and communication Technonolgies on future of health | Best Researcher Award

Dr Issam Khelfaoui Shantou university, China

He holds a Doctor of Philosophy degree in Insurance and Risk Management (Finance) from the University International of Business and Economics (UIBE) in Beijing, China, conferred in June 2022. His doctoral research, supervised by Xie YuanTao, encompasses four essays on Health Economics. Currently, he is engaged in postdoctoral research at the Department of Mathematics, Shantou University, Guandong, focusing on Health Economics, Econometrics, and Panel Data. His primary research interests lie in Econometrics and Finance, with a specialization in Financial Economics. Additionally, he delves into secondary areas such as Health Economics, Digital Economy, Statistics and Probabilities, and Behavioral Economics. His tertiary interests encompass Financial Development, Public Health, Business, and Leadership. With a diverse range of expertise, he continues to contribute to the fields of economics, finance, and health with his research and academic pursuits.

Education:

He is a highly accomplished individual with a strong academic background, holding a Doctor of Philosophy degree in Insurance and Risk Management (Finance) from the University International of Business and Economics (UIBE) in Beijing, China, conferred in June 2022. His doctoral research, supervised by Xie YuanTao, focused on the intriguing intersection of Finance and Health Economics, resulting in four impactful essays. Prior to his Ph.D., he earned a Master of Science in Stochastic Modeling and Predictions in Operational Researches, specializing in Statistics and Mathematics, from the University of Science and Technology Houari Boumediene (USTHB) in Algiers, Algeria, in 2016. His master’s thesis, “Estimation Maximization Stochastic Mixed Models with Outliers,” showcased his expertise in advanced statistical modeling. In his earlier academic journey, he achieved a Bachelor of Science in Applied Mathematics, specializing in Statistics and Mathematics, from the University Abderahmane Mira (UAMB) in Bejaia, Algeria, in 2016, where he ranked among the top 5% of students. His academic achievements reflect his dedication to excellence and proficiency in both finance-related and statistical disciplines.

🌐 Profile Links:

Experience:

He is currently undertaking a Postdoctoral position in the Department of Mathematics at Shantou University, Guandong, starting from 2023. In this role, he is immersed in research focusing on Health Economics, Econometrics, and Panel Data analysis. Simultaneously, he serves as a Research Assistant in the Mathematics Faculty at USTHB, Algiers, where his responsibilities include Actuaries and Financial Mathematics, Time Series Analysis, and Panel Data research from 2023 to the present. His academic journey also includes a role as a Research Assistant in the Department of Insurance and Economics at the University of International Business and Economics, Beijing, spanning from 2017 to 2022. During this period, he completed his PhD thesis, titled “Four essays on health economics,” and delved into research on the Chinese Pension scheme. His multifaceted research experiences highlight his commitment to advancing knowledge in various domains within mathematics, economics, and health.

Publications:

  1. Evaluating the energy consumption inequalities in the one belt and one road region: implications for the environment Cited By: 73, Published By: 2019
  2. A review on CNTs-based electrochemical sensors and biosensors: unique properties and potential applications Cited By: 38, Published By: 2023
  3. Effects of health shocks, insurance, and education on income: fresh analysis using CHNS panel data Cited By: 10, Published By: 2022
  4. Information communication technology and infant mortality in low-income countries: empirical study using panel data models Cited By: 9, Published By: 2022
  5. Investor confidence and life insurance demand: can economic condition limit life insurance business?  Cited By: 8, Published By: 2023
  6. A review about COVID-19 in the MENA region: environmental concerns and machine learning applications Cited By: 3, Published By: 2022
  7. Education impact on health shocks: Evidence from CHNS data  Cited By: 3, Published By: 2020
  8. Nexus between information and communication technologies and life expectancies of low-income countries: Does technological advancement increase their life span? Published By: 2024
  9. Open-SBS: Smart Building Simulator Published By: 2022

Nasim Mahmud Nayan | Healthcare Domain | Young Scientist Award

Nasim Mahmud Nayan | Healthcare Domain | Young Scientist Award

Mr Nasim Mahmud Nayan Programming Hero, Bangladesh

Passionate about advancing the frontiers of knowledge, I am currently pursuing an advanced degree with a focus on Machine Learning (ML) and Medical Cyber-physical systems. Committed to excellence, innovation, and interdisciplinary collaboration, my research endeavors aim to make meaningful contributions to these fields. I hold a B.Sc. in Computer Science Engineering from the University of Information Technology and Sciences, where I achieved an overall GPA of 3.62 out of 4.0. My journey is characterized by dedication, discipline, honesty, and a strong commitment to teamwork.

🎓Education:

He is a dedicated individual currently pursuing an advanced degree with a focus on Machine Learning (ML) and Medical Cyber-physical systems. With a B.Sc. in Computer Science Engineering from the University of Information Technology and Sciences, he achieved an impressive overall GPA of 3.62 out of 4.0. His academic journey reflects a commitment to excellence and a passion for advancing knowledge in the field of computer science.

🌐 Profile Links:

🏆Honors And Awards:

  1. Fastest problem solver: UITS Victory Day Programming Contest
  2. 2nd/45: Inter-university Programming Contest
  3. 1st/25: Inter-university PowerPoint Presentation Competition
  4. Employee of the month(August): Primacy Infotec LTD
  5. Nominated for Best Researcher Award: International Research Awards on Cardiology and Cardiovascular Medicine

🔍Research Experience:

  • UITS, Department of Computer Science and Engineering
  • Independent Research under Mohammad Mobarak Hossain
  • Develop a machine learning-based system to predict maternal health risks.
  • Implemented ML algorithms were used to identify patterns and risk factors associated with maternal health complications.
  • Integrated Homomorphic encryption techniques to ensure secure handling and protection of patient data.
  • UITS, Department of Computer Science and Engineering
  • Independent Research under Md. Monirul Islam
  • Developed an integrated and original method to forecast illness.
  • Collaborated with team members within his research lab, “Research Rising Lab.”

👩‍🔬Professional Experience:

AI Trainer | Enhancing Digital Government Economy (EDGE) Project | May 2023 – Present.
Conducted training sessions on AI topics, including machine learning and computer vision.
Developed educational materials and mentored students to enhance their AI skills.
Collaborated with diverse students to create a supportive learning environment.
AI Engineer | Primacy Infotech Ltd | July 2023 – Nov 2023.
Led a team in developing AI-driven tour planning tools for six historic locations in Bangladesh, streamlining itinerary
creation based on user preferences.
Launched and managed trial phases for AI tour planning tools to collect valuable user feedback for ongoing
improvements.
Involved in developing and testing “Virtual Trail,” a Computer Vision-based AR tool for online and in-.
Shopping mall virtual t-shirt try-ons.

📊Publications:

  1. A Medical Cyber-physical system for predicting maternal health in developing countries using machine learning. Published By : 2023
  2. Date Fruit Classification with Machine Learning and Explainable Artificial Intelligence Cited By : 4, Published By : 2023
  3. Investigation of Air Effluence Using IoT and Machine Learning Published By : 2023
  4. SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization Cited By : 1, Published By : 2023