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Dr. Syed Arslan Abbas Rizvi

Dr Syed Arslan Abbas Rizvi is a Lecturer in the Department of Computer Science and Informatics at the Berlin School of Business and Innovation (BSBI), Germany. He obtained his BE in Electrical Engineering from the National University of Sciences and Technology (NUST), Pakistan, in 2010, followed by an MSc in Renewable Energy from King Saud University (KSU), Saudi Arabia, in 2015. He completed his PhD in Power Engineering and Engineering Thermophysics at Xi’an Jiaotong University, China, in 2022.

Overview

Dr Syed Arslan Abbas Rizvi is a Lecturer in the Department of Computer Science and Informatics at the Berlin School of Business and Innovation (BSBI), Germany.

He obtained his BE in Electrical Engineering from the National University of Sciences and Technology (NUST), Pakistan, in 2010, followed by an MSc in Renewable Energy from King Saud University (KSU), Saudi Arabia, in 2015. He completed his PhD in Power Engineering and Engineering Thermophysics at Xi’an Jiaotong University, China, in 2022.

Dr Rizvi has over ten years of academic, research, and professional experience at several international institutions, including NUST (Pakistan), King Saud University (Saudi Arabia), and the Qilu Institute of Technology (China), where he served as an Associate Professor of Intelligent Manufacturing and Control. He has also taught as a Visiting Lecturer in Machine Learning, Parallel Programming, and Computer Architecture at the University of Europe for Applied Sciences (UE) in Potsdam, Germany.

His industrial and research collaborations include projects with Saudi Aramco on underground power cable condition monitoring and the King Abdullah City for Atomic and Renewable Energy (KACARE) on the Renewable Resource Monitoring and Mapping Project.

Dr Rizvi has authored 18 peer-reviewed publications, including 8 SCI-indexed and 4 EI-indexed papers, and has supervised or co-supervised over ten master’s theses. He serves as a reviewer for leading academic journals, such as Elsevier Energy, Renewable Energy, Applied Thermal Engineering, Arabian Journal of Science and Engineering, and several IEEE conferences.

His technical expertise spans electrical and electronic hardware design, algorithm development, and programming (C, Python). His research interests include Renewable Energy Technologies, Artificial Intelligence and Digital Twins, Grid Integration of Renewable Energy Systems, Power Electronics, Optimisation Algorithms, Machine Learning, and Embedded Systems.

Areas of expertise

  • Energy Systems
  • Renewable Energy
  • Optimisation
  • AI Applications
  • Embedded Systems

Awards and Honours

• Best Paper Award, The Korean Association of Shipping and Logistics
• Runner-up, Best Paper Award, The Asian Journal of Shipping and Logistics
• Foreign Student Supporter, Dean of International Affairs and Education, Sunchon National University, South Korea
• Honorary Reporter, The National Agency for the Promotion of Korean Culture

Research interests

  • Renewable Energy Technologies
  • Artificial Intelligence and Digital Twins
  • Grid Integration of Renewable Energy Systems
  • Power Electronics
  • Optimisation Algorithms
  • Machine Learning
  • Embedded Systems

Publications

• E-commerce Platform Adoption in Emerging Digital Markets: The Role of Perceived Risk, Trust, and Digital Literacy in Last-Mile Logistics Services – MDPI – November 2025
• Machine Learning for Predicting Bank Stability: The Role of Income Diversification in European Banking – MDPI – May 2025
• A Study on the Selection of Container Ports in Egypt’s East Mediterranean Sea Using Fuzzy-AHP – The Asian Journal of Shipping and Logistics (Best Paper and Presentation Award) – December 2020
• Competitiveness and Growth Diagnosis of Maritime Transportation in Alexandria Port – Korean Society of Shipping and Logistics – January 2020
• Expansion of Maritime Big Data Management Using Information Entropy – Korean Society of Shipping and Logistics – January 2019
• Competitiveness and Growth Diagnosis of Maritime Transportation in Alexandria Port – Egypt – The Journal of International Logistics and Trade (JILT) – 4th Belt and Road Initiative Conference, in collaboration with the Asian Logistics Round Table (ALRT), Bangkok, Thailand – August 2019
• Suez Canal: From Maritime Corridor to Logistics and Industrial Zone – Korean Association of Shipping & Logistics (Best Paper and Presentation Award) – Chung-Ang University – May 2019

Journal / Magazine Publications

  1. Qasim, M., Zhang, C., Rizvi, A.A., et al. (2025). Novel optimised P-doped carbon nitride photocatalyst for enhanced photocatalytic hydrogen generation under the visible spectrum. International Journal of Hydrogen Energy, 173, 151319. [https://doi.org/10.1016/j.ijhydene.2025.151319]
  2. Ashfaq, A., Khalique, U., Nadeem, A., & Rizvi, A.A. (2025). Comprehensive analysis of temperature distribution in OPGW cable considering ramifications of short circuit current. Scientific Reports, 15(1), 21949. [https://doi.org/10.1038/s41598-025-09266-7]
  3. Ajetunmobi, O., Khan, T.A., Rizvi, A.A., & Ali, R.H. (2025). Improved parameter estimation of triple-diode photovoltaic systems. Journal of Computational Electronics, 24(6), 177. [https://doi.org/10.1007/s10825-025-02405-3]
  4. Rizvi, A.A., Khan, T.A., Cao, F., & El-Leathy, A. (2024). Pyramidal Sun Sensor: A novel sun tracking system solution for single-axis parabolic trough collectors. Automatic Control and Computer Sciences.
  5. Khokhar, S.-u.-D., Nadeem, A., & Rizvi, A.A. (2023). Applying a higher number of output membership functions to enhance the precision of a fuzzy system. IEEE Transactions on Emerging Topics in Computational Intelligence.
  6. Khan, T.A., Ling, S.H., & Rizvi, A.A. (2023). Optimisation of electrical impedance tomography image reconstruction error using heuristic algorithms. Artificial Intelligence Review.
  7. Rizvi, A.A., Yang, D., & Khan, T.A. (2022). Optimisation of biomimetic heliostat fields using heuristic optimisation algorithms. Knowledge-Based Systems, 258, 110048.
  8. Rizvi, A.A., & Yang, D. (2021). A detailed account of the calculation of shading and blocking factors of a heliostat field. Renewable Energy.
  9. Rizvi, A.A., Danish, S.N., El-Leathy, A., Al-Ansary, H., & Yang, D. (2021). A review and classification of layouts and optimisation techniques in heliostat field design for solar central receiver systems. Solar Energy, 218, 296–311.
  10. Danish, S.N., Al-Ansary, H., El-Leathy, A., Ba-Abbad, M., Khan, S.U., Rizvi, A.A., et al. (2022). Experimental and techno-economic analysis of two innovative solar thermal receiver designs for a point-focus solar Fresnel collector. Energy.
  11. El-Leathy, A., Al-Ansary, H., Ba-Abbad, M., Danish, S.N., AlShehri, Y., & Rizvi, A.A. (2021). Theoretical and experimental investigation of a novel point-focus Fresnel collector system. IET Renewable Power Generation.
  12. Sher, H., Rizvi, A.A., Addoweesh, K., & Al-Haddad, K.A. (2016). Single-stage stand-alone photovoltaic energy system (SAPES) with high tracking efficiency. IEEE Transactions on Sustainable Energy.
  13. Babar, M., Rizvi, A.A., Al-Ammar, E.A., & Malik, N.H. (2014). Analytical model of a multi-junction solar cell. Arabian Journal of Science and Engineering.

Conference Publications

  1. A Data-Driven Model for Predicting Energy Interception in Solar Central Receiver Systems, IEEE EI², Shenyang, China, 2024.
  2. Stochastic Correlation Estimator Fault Location Method on Lossy Transmission Lines, IEEE EI², Hangzhou, China, 2023.
  3. Performance Ratio Estimation of Solar Power Plants Using Machine Learning Algorithms, IEEE ITMS, Riga, Latvia, 2023.
  4. An Improved Particle Swarm Optimisation Algorithm, IEEE ITMS, Riga, Latvia, 2023.
  5. Forecasting Solar Irradiance Using Machine Learning Methods, IEEE ITMS, Riga, Latvia, 2023.
  6. Optimisation of Heliostat Fields Using Advanced Particle Swarm Optimisation (APSO), IEEE REPE, Beijing, China, 2021.
  7. Comparative Analysis of Energy Management and Consumption in Light of Sustainability Agendas, Tsinghua University, Beijing, China, 2020.
  8. Measurement of Circumsolar Ratio in High-Dust Regions Using a Photographic Method, AIP Conference Proceedings, 2017.
  9. Simulation of Sun Tracking System for Point-Focus Fresnel Collector, IEEE ISIE, Edinburgh, UK, 2017.
  10. Sun Position Algorithm for Sun Tracking Applications, IEEE IECON, Dallas, USA, 2014.

Books / Book Chapters

  1. Uncovering Insights by Comparing Machine Learning Algorithms for Customer Churn Analysis – Mishra, P., Khan, T.A., & Rizvi, A.A.
  2. Grid Interconnection Study of Wind Farms: Modelling, Control, and Simulation of Doubly Fed Induction Generators for Wind Energy Applications in Simulink – Khan, A.A., Rizvi, A.A., & Bukhari, S.M.H.

Conferences, Talks, and Speaking Engagements

  • GGG Seminar – AI in Higher Education, Berlin, Germany (2025)
  • IEEE Energy Internet and Energy Integration Conference, Shenyang, China (2024)
  • IEEE Renewable Energy and Power Engineering Conference, China (2021)
  • IEEE Industrial Electronics Conference, Dallas, USA (2014)

Research Funding

  • Natural Science Foundation of Shandong Province, China (2025–2027) – RMB 80,000 (Project No. ZR2024QE389)
  • Qilu Institute of Technology Startup Research Funding, Jinan, China (2024–2025) – RMB 200,000 (Project No. QIT23TP024)