Paolo Dini | Data Analysis | Best Researcher Award

Dr. Paolo Dini | Data Analysis | Best Researcher Award

Dr. Paolo Dini | Data Analysis | Leading Researcher at Centre Tecnològic de Telecomunicacions de Catalunya | Spain

Dr. Paolo Dini is a distinguished researcher in the field of information engineering, currently affiliated with the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), where he leads research at the intersection of sustainable computing, wireless communication, and artificial intelligence. Dr. Paolo Dini holds a Ph.D. in Information and Communication Technologies, and his academic foundation has enabled him to make impactful contributions to the development of energy-efficient and intelligent network infrastructures. Over the years, he has amassed a prolific research portfolio with more than 60 peer-reviewed publications and over 2,300 citations, earning him an h-index of 25 and an i10-index of 54, according to Scopus. Professionally, Dr. Paolo Dini has held research and leadership roles in multiple European and international collaborative projects, contributing both to academia and industrial innovation. He has worked alongside prominent researchers from institutions like Ericsson, Politecnico di Bari, University of Padova, and CTTC, fostering multidisciplinary research in areas such as mobile traffic modeling, green networking, and edge intelligence. His expertise includes machine learning for network optimization, distributed systems, multi-agent systems, 5G and beyond architectures, and sustainable AI. These skills are further demonstrated by his role in developing algorithms and models for energy harvesting in mobile networks and predictive analytics for traffic anomaly detection. Dr. Paolo Dini’s research interests continue to evolve with the current technological landscape, focusing on combining AI with wireless systems to enable smarter, greener, and more adaptive communication environments.

Professional Profile: ORCID | Google Scholar

Selected Publications:

  1. Mobile traffic prediction from raw data using LSTM networks (2018) – 245 Citations

  2. HetNets powered by renewable energy sources: Sustainable next-generation cellular networks (2012) – 201 Citations

  3. SolarStat: Modeling photovoltaic sources through stochastic Markov processes (2014) – 108 Citations

  4. Detecting mobile traffic anomalies through physical control channel fingerprinting: A deep semi-supervised approach (2019) – 81 Citations

 

 

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

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