Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

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Dr. Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

University of Malaysia, Pahang | Malaysia

Dr. Peter Ikechukwu Nwaichi is an accomplished professional with an MSc in Safety, Health, and Environment from Universiti Teknologi Malaysia and a PhD (in view), bringing strong academic depth to his diverse technical expertise. His research interests span Risk Assessment and Risk Management, Oil Well Analysis, Data Analysis, and Waste Management, reflecting a commitment to advancing safety and operational efficiency within industrial environments. Dr. Nwaichi has gained extensive hands-on experience through his work with Weafri Well Services Company, where he contributed to cementing, pumping, corrosion control, and coiled tubing operations. He has also served in key roles at ACM of Nigeria as a Safety Officer, Material Coordinator, and Designer, demonstrating versatility and a strong track record in ensuring safe, efficient, and sustainable work processes across the energy and industrial sectors.

Profiles: Google Scholar

Featured Publications

"Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs", D Abutu, PI Nwaichi, C Umunnawuike, F Nyah, B Money, HW Yussof, Petroleum Research, 2025

"Nanoparticles transport in porous media during EOR operations: A Wide-Ranging review of mechanisms, mathematical models, influencing parameters, challenges, and prospects", EN Ngouangna, IB Dzulkarnain, MZ Jaafar, JO Oseh, FA Afolabi, Arabian Journal for Science and Engineering, 2025.

"Biohydrogen production for sustainable energy transition: a bibliometric and systematic review of the reaction mechanisms, challenges, knowledge gaps and emerging trends", C Umunnawuike, SQA Mahat, PI Nwaichi, B Money, A Agi Biomass and bioenergy, 2024.

"Recent advances and prospects on retarder application in oilwell cement: A review", PI Nwaichi, N Ridzuan, EO Nwaichi, C Umunnawuike, A Agi Geoenergy Science and Engineering 241, 2024.

"Comprehensive review on the role of salinity on oil recovery mechanisms during chemical flooding", F Nyah, N Ridzuan, PI Nwaichi, C Umunnawuike, A Agi Journal of Molecular Liquids 415, 2024.

Farhad Hossain Sojib | Data Science | Best Researcher Award

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Mr. Farhad Hossain Sojib | Data Science | Best Researcher Award 

University of Hull | Bangladesh

Mr. Farhad Hossain Sojib is an engineer with a strong foundation in electronics and communication engineering and a growing specialization in data science and artificial intelligence. He is currently pursuing his M.Sc. in Artificial Intelligence and Data Science at the University of Hull, United Kingdom, following the completion of his B.Sc. in Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, where he conducted notable research on explainable AI in educational data mining and machine learning applications in 5G antenna optimization. With professional experience as an IELTS Instructor at Lexicon Plus, he has trained over 50 students, developed course materials, and mentored junior instructors. His leadership and organizational skills were further demonstrated through his role as a Program Committee Member at the IEEE Student Branch, HSTU, where he managed events, seminars, and competitions. Additionally, his internship at BRACNet Limited provided hands-on experience in ISP operations, ICT technologies, and server management. Farhad combines his technical expertise, research acumen, and collaborative mindset to contribute meaningfully to the fields of machine learning and data-driven innovation.

Profiles: Orcid 

Featured Publications

"The integration of explainable AI in Educational Data Mining for student academic performance prediction and support systems", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman, Telematics and Informatics Reports, 2025.

"A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension", Md. Emran Biswas; M D. Fazle Hasan Mihad; Farhad Hossain Sojib; Mohammad Jubair Ahmmed; M D Galib Hasan; Md. Jobare Hossain; Md. Abul Basar; Md. Mehedi Islam; Md. Delowar Hossain; Md. Selim Hossain et al., 27th International Conference on Computer and Information Technology (ICCIT), 2024.

"An Explainable Educational Data Mining System for Predicting Student Academic Performance", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman; FARHAD HOSSAIN SOJIB, 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems, 2024.

Muhammad Saeed Iqbal | Network Resilience | Young Researcher Award

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Dr. Muhammad Saeed Iqbal | Network Resilience | Young Researcher Award

Meezan Bank Ltd. | Pakistan

Author Profile

Google Scholar

Dr. Muhammad Saeed Iqbal - Academic and Professional Profile

Early Academic Pursuits

Dr. Muhammad Saeed Iqbal has consistently demonstrated a passion for research, administration, and finance from the early stages of his academic journey. His training in banking, finance, and research methodologies provided him with a strong foundation in quantitative analysis, credit risk management, and financial systems. With a keen interest in data analysis and statistical tools, he mastered software such as SPSS, STATA, EViews, and SMART PLS, becoming an expert in handling complex syntaxes and research modeling. His academic background reflects a dedication to bridging theoretical concepts with practical financial applications, particularly in the realm of Islamic banking and risk management.

Professional Endeavors

Dr. Iqbal’s professional career is deeply rooted in the banking and finance industry, with progressive roles that illustrate his expertise and growth. Starting as an Intern at the National Bank of Pakistan (2012), he quickly moved into financial and administrative positions. He worked as a Branch Accountant and Loan Officer at ASA Pakistan Ltd, followed by his role as a Credit Risk Officer at NRSP Bank Ltd, where he developed expertise in risk assessment and management. His significant contributions came during his tenure at Meezan Bank Ltd, Pakistan’s leading Islamic bank, where he served in various capacities including CIU Officer (Car Ijarah Department), CAD Officer (Credit Administration Department), and currently as a Credit Analyst (House Finance Department). Each role enriched his knowledge of Islamic financial instruments, risk management, and compliance practices, while also enhancing his practical application of research in banking operations.

Contributions and Research Focus

Dr. Iqbal’s research primarily revolves around Islamic banking, credit risk management, financial performance, corporate governance, and sustainable finance. His publications extensively analyze the unique dynamics of Islamic financial systems in Pakistan, addressing themes such as:

  • Islamic house financing and Car Ijarah models

  • Shari’ah compliance in Zakat reserves and dividend regulations

  • Impact of corporate governance on capital structure

  • Credit risk and mortgage performance in Islamic banks

  • Sustainability through digital technologies in green supply chains

Beyond Islamic finance, he has explored diverse research domains, including organizational behavior, supply chain sustainability, monetary management in healthcare, and the role of social media in SMEs’ marketing strategies. This interdisciplinary approach reflects his versatility and intellectual curiosity.

Impact and Influence

Dr. Iqbal’s research has contributed to enhancing the understanding of Islamic banking practices in Pakistan, offering empirical insights that support regulatory frameworks and institutional decision-making. His findings on credit risk management and mortgage performance are valuable for both practitioners and policymakers aiming to strengthen Islamic financial systems. As an academic facilitator, he has conducted workshops on statistical and econometric tools, empowering faculty members and research students with advanced analytical skills. His role as a mentor in data-driven financial research further amplifies his influence on upcoming scholars in the field.

Academic Citations and Recognition

With numerous publications across reputed journals in Islamic finance, business studies, and economics, Dr. Iqbal’s work is being increasingly cited in both academic and professional contexts. His contributions to Journal of Applied Economics and Business Studies, Islamic Banking and Finance Review, COMSATS Journal of Islamic Finance, and International Journal of Management Research and Emerging Sciences underscore his recognition in scholarly circles. His papers are also available on global repositories such as SSRN, further extending his academic visibility.

Legacy and Future Contributions

Dr. Iqbal’s legacy lies in his commitment to strengthening Islamic financial systems through applied research and professional expertise. His dual experience in industry practice and academic scholarship positions him uniquely as a bridge between theory and practice. Going forward, his research is likely to expand into digital finance, fintech integration in Islamic banking, and sustainable development in financial institutions, areas that are rapidly transforming global financial landscapes. His ongoing dedication ensures that his contributions will continue to influence both academia and industry.

Conclusion

Dr. Muhammad Saeed Iqbal epitomizes the integration of academic excellence, professional expertise, and research-oriented practice. His journey from banking institutions to academic research showcases his unwavering dedication to financial innovation, risk management, and Islamic banking development. With a growing body of impactful publications and professional achievements, Dr. Iqbal stands as a significant contributor to the advancement of Islamic finance, sustainable banking, and applied economic research. His future endeavors promise to further shape the discourse in both scholarly and professional domains.

Notable Publications

“AI in Islamic finance: Global trends, ethical implications, and bibliometric insights" 

  • Author: MS Iqbal, FAMSB Sukamto, SNB Norizan, S Mahmood, A Fatima
  • Journal: Review of Islamic Social Finance and Entrepreneurship
  • Year: 2025

"Resilience in Islamic Microfinance: Examining Women, Organizations, and Agricultural Consumers’ Impact on Credit Risk" 

  • Author: MS Iqbal, SM Fikri‏
  • Journal: Journal of the Knowledge Economy
  • Year: 2025

"Examining financial well-being among students: Islamic social finance and theory of planned behavior approach" 

  • Author: SNB Norizan, NBA Bakar, MS Iqbal, IBM Idris
  • Journal: Review of Islamic Social Finance and Entrepreneurship
  • Year: 2025

"Impact of Globalisation, AI Adoption, and FinTech Integration on Banking Sector Performance and Customer Satisfaction in Post-COVID Pakistan" 

  • Author: MS Iqbal, SM Fikri
  • Journal: The Pakistan Development Review
  • Year: 2025

"Optimizing resilience: Impact of credit risk management on financial performance in Islamic banking" 

  • Author: A Iqbal, MS Iqbal, A Fatima, MA Ghori, S Tahir
  • Journal: Zakariya Journal of Social Science
  • Year: 2025

 

Qinglai Wei | Self-Learning Systems | Best Researcher Award

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Prof. Dr. Qinglai Wei | Self-Learning Systems | Best Researcher Award 

Associate Director, at Institute of Automation, Chinese Academy of Sciences, China.

Professor Qinglai Wei is a distinguished researcher and educator specializing in control systems, computational intelligence, and learning-based optimization. Serving as the Associate Director at The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, he has made significant contributions to adaptive dynamic programming, nonlinear control, and reinforcement learning. With an illustrious academic journey from Northeastern University and rich professional experience, Prof. Wei has authored numerous influential papers, books, and book chapters. His awards include multiple IEEE honors and recognition as a Clarivate Highly Cited Researcher. He is a prominent figure in advancing intelligent control systems and their applications in complex scenarios.

Professional Profile

Scopus

Google Scholar

Education 🎓

  • Ph.D. in Control Theory and Control Engineering (2009): Northeastern University, China. Advised by Prof. Huaguang Zhang, his research focused on intelligent control systems.
  • M.S. in Control Theory and Control Engineering (2005): Northeastern University, China, under Prof. Xianwen Gao’s mentorship.
  • B.S. in Automation (2002): Northeastern University, China, advised by Baodong Xu.
    These academic milestones laid the foundation for his expertise in adaptive dynamic programming and intelligent systems.

Professional Experience 💼

  • Associate Director (2018–Present): The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences.
  • Professor (2016–Present): The State Key Laboratory and the School of Artificial Intelligence, University of Chinese Academy of Sciences.
  • Visiting Scholar roles at University of Rhode Island (2018) and University of Texas at Arlington (2014) reflect his international collaboration and academic outreach.
    Earlier roles include Associate and Assistant Professor positions at The State Key Laboratory, showcasing steady growth in his academic career.

Research Interests 🔬

Prof. Wei’s research spans:

  • Computational Intelligence & Intelligent Control
  • Learning Control & Reinforcement Learning
  • Optimal & Nonlinear Control
  • Adaptive Dynamic Programming
    Applications include process control, smart grids, and multi-agent systems. His innovative methods continue to drive advancements in control theory and intelligent systems.

Awards 🏆

Prof. Wei’s excellence is marked by accolades like:

  • Best Paper Awards (2023 & 2022): International CSIS-IAC and China Automation Congress.
  • IEEE Outstanding Paper Awards (2018): Recognition for impactful contributions to the IEEE journals.
  • Highly Cited Researcher (2018 & 2019): By Clarivate Analytics for his influential publications.
    Other honors include National Natural Science Foundation Awards and Young Researcher Awards, emphasizing his leadership in the field.

Top Noted Publications 📚

  • “Learning and Controlling Multiscale Dynamics in Spiking Neural Networks” (2024, IEEE Transactions on Cybernetics): This study employs Recursive Least Square (RLS) modifications to manage multiscale dynamics in spiking neural networks. It advances neural control methods for adaptive tasks in dynamic environments【8】.
  • “Event-Triggered Robust Parallel Optimal Consensus Control for Multiagent Systems” (2024, IEEE/CAA Journal of Automatica Sinica): This paper focuses on event-triggered mechanisms to ensure robust consensus in multiagent systems under parallel optimal control.
  • “Primal-Dual Adaptive Dynamic Programming for Nonlinear Systems” (2024, Automatica): A framework using primal-dual adaptive dynamic programming tackles the stabilization and optimization of nonlinear systems.
  • “Class-Incremental Learning with Balanced Embedding Discrimination” (2024, Neural Networks): This work enhances class-incremental learning by introducing techniques to balance embeddings and improve discrimination among new and existing classes.

Conclusion

Qinglai Wei is exceptionally suited for the Research for Best Researcher Award. His prolific contributions to control theory, computational intelligence, and reinforcement learning, combined with his global recognition and leadership, exemplify his stature as a world-class researcher. With a proven track record of innovative research, impactful publications, and numerous accolades, he stands out as a strong candidate for this prestigious honor. Continued expansion into interdisciplinary collaborations and mentorship initiatives will further solidify his legacy as a pioneering researcher.