Md. Touhidul Islam | AI in Business | Best Researcher Award

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Assist. Prof. Dr. Md. Touhidul Islam | AI in Business | Best Researcher Award

Assistant Professor at NPI University of Bangladesh | Bangladesh

Assist. Prof. Dr. Md. Touhidul Islam is a dedicated academic and researcher in Business Administration whose work spans marketing thought, strategic service excellence, customer behavior, and the evolving dynamics of online commerce. His professional identity is shaped by a commitment to student-centered teaching, scholarly contribution, and institutional development, reflected in his extensive involvement in academic instruction, curriculum enhancement, quality assurance activities, and mentorship. He has built a strong research footprint across areas such as service marketing, customer satisfaction, sustainable online business practices, agile and neuro-marketing, corporate responsibility, product and service quality, and digital consumer experiences, contributing numerous studies to international journals and collaborating on diverse research initiatives in emerging marketing contexts. His publications explore themes including cashless economies, ethical leadership, blockchain opportunities in hospitality, green innovations, artificial intelligence in business, logistics strategies, and cross-industry consumer perceptions, illustrating both analytical breadth and practical relevance. Beyond journal work, he has authored an academic book on Human Resource Information Systems and contributed to a globally published book chapter on AI-driven transformations in customer relationship service, extending his influence into specialized business and technology domains. His teaching philosophy emphasizes education as a purposeful and student-driven service that nurtures critical thinking, real-world application, and intellectual curiosity. He champions blended and flexible teaching methods, the use of contemporary business examples, and learning environments built on receptiveness, engagement, and reflective practice. Alongside teaching and research, he contributes to the global academic community through editorial and reviewer roles for multiple international journals, helping uphold scholarly rigor and support emerging researchers. Continuously expanding his academic horizon through advanced research and interdisciplinary inquiry, he represents a blend of pedagogical commitment, research-driven insight, and forward-looking academic leadership.

Profile: Google Scholar

Featured Publications

Islam, M. T., Hasan, M. M., Redwanuzzaman, M., & Hossain, M. K. (2024). Practices of artificial intelligence to improve the business in Bangladesh.

Islam, M. T. (2023). Newly developed green technology innovations in business: Paving the way toward sustainability.

Islam, M. T. (2019). Future impact of 4G on business in Bangladesh.

Islam, M. T. (2019). Market failure: Reasons and its accomplishments.

Islam, M. T., & Hasan, M. T. (2016). Corporate social responsibility of commercial banks in Bangladesh: A comparative study on nationalized and private banks.

Amir veisi | Artificial Intelligence | Best Researcher Award

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Dr. Amir veisi | Artificial Intelligence | Best Researcher Award

PhD | Bu-Ali Sina University | Iran

Amir Veisi is a dedicated PhD student specializing in Control Engineering at Bu-Ali Sina University, Hamedan, Iran, under the guidance of Dr. Hadi Delavari. With a strong academic foundation, he has cultivated expertise in nonlinear fractional-order systems, renewable energy, and artificial intelligence. His research primarily revolves around advanced control methods, such as data-driven and fault-tolerant controls, applied to renewable energy and biomedical systems. Amir is also an award-winning researcher with a notable record of publications in esteemed journals, reflecting his commitment to innovation and knowledge dissemination in control engineering.

Profile

Scholar

Education

Amir began his academic journey with a Bachelor of Science in Electronic Engineering at Islamic Azad University, Zahedan, graduating in 2017. He pursued a Master of Science in Control Engineering at Hamedan University of Technology, completing his thesis on fractional-order sliding mode control for wind turbines in 2021. Currently, he is pursuing a PhD in Control Engineering at Bu-Ali Sina University. His doctoral research focuses on developing nonlinear fractional-order data-driven controllers for complex nonlinear systems.

Experience

Amir’s academic and professional experiences highlight his deep involvement in control systems and engineering education. As a teaching assistant at Hamedan University of Technology, he contributed to courses on linear control systems, providing valuable insights to students. Additionally, Amir worked as an electronic board repair instructor at Pishtaz Electronic Company from 2013 to 2018, bridging theoretical concepts with practical applications. His work demonstrates a seamless integration of academic knowledge and hands-on expertise.

Research Interests

Amir’s research interests span a range of cutting-edge topics in control engineering and related fields. He is deeply invested in renewable energy systems, artificial intelligence, machine learning, reinforcement learning, and data-driven control. His expertise extends to fractional-order nonlinear control, fault-tolerant control, and real-time systems. Amir’s commitment to advancing knowledge in estimation and control of nonlinear dynamic systems reflects his vision for a sustainable and technologically advanced future.

Awards

Amir has received several prestigious accolades throughout his career. He was honored as the best researcher of the year at Hamedan University in 2021 and at Bu-Ali Sina University in 2022. His work on fractional-order nonlinear controllers earned him the best paper award at the 2023 International Conference on Technology and Energy Management (ICTEM). Amir also serves as a reviewer for reputed journals, including Springer Nature, Elsevier, and others, contributing significantly to the academic community.

Publications

Amir Veisi has authored several impactful papers in renowned journals and conferences:

Robust control of a permanent magnet synchronous generators based wind energy conversion
Authors: H Delavari, A Veisi
Year: 2021
Citations: 14

Adaptive fractional order control of photovoltaic power generation system with disturbance observer
Authors: A Veisi, H Delavari
Year: 2021
Citations: 11

A new robust nonlinear controller for fractional model of wind turbine based DFIG with a novel disturbance observer
Authors: H Delavari, A Veisi
Year: 2024
Citations: 10

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer
Authors: A Veisi, H Delavari
Year: 2024
Citations: 10

Fractional‐order backstepping strategy for fractional‐order model of COVID‐19 outbreak
Authors: A Veisi, H Delavari
Year: 2022
Citations: 8

Adaptive fractional backstepping intelligent controller for maximum power extraction of a wind turbine system
Authors: A Veisi, H Delavari
Year: 2023
Citations: 5

Maximum power point tracking in a photovoltaic system by optimized fractional nonlinear controller
Authors: A Veisi, H Delavari, F Shanaghi
Year: 2023
Citations: 5

Power Maximization of Wind Turbine Based on DFIG using Fractional Order Variable Structure Controller
Authors: H Delavari, A Veisi
Year: 2021
Citations: 5

Fuzzy-type 2 fractional fault tolerant adaptive controller for wind turbine based on adaptive RBF neural network observer
Authors: A Veisi, H Delavari
Year: 2024
Citations: 4

Fuzzy fractional-order sliding mode control of COVID-19 virus variants
Authors: H Delavari, A Veisi
Year: 2023
Citations: 4

Conclusion

Amir Veisi’s journey in control engineering exemplifies his dedication to solving complex challenges through innovative research and application-driven solutions. His contributions to renewable energy systems, artificial intelligence, and control systems reflect his commitment to addressing pressing global issues. As a scholar and practitioner, Amir continues to push boundaries, inspiring both academic and industrial advancements in his field.