Syed Rakib Hasan | Communication | Best Academic Researcher Award

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Mr. Syed Rakib Hasan | Communication | Best Academic Researcher Award

Kochi University of Technology | Japan

Syed Rakib Hasan is an emerging researcher in Electrical and Electronic Engineering with a strong focus on next-generation communication technologies. He has contributed to advanced research in intelligent reflecting surfaces, quantum communications, visible light communications, and 5G and beyond networks, publishing several journal articles and conference papers in collaboration with international research teams. His academic journey, professional experience, and scholarly contributions reflect a strong commitment to innovation in future wireless communication systems.

Publication Profile 

Scopus

Educational Background 

He is pursuing a Ph.D. in Electrical and Electronic Engineering at Kochi University of Technology in Japan. Prior to this, he completed a master’s degree in Electrical and Electronic Engineering from Khulna University of Engineering & Technology with first-class distinction. He also earned his bachelor’s degree in Electrical and Electronic Engineering from Bangladesh Army International University of Science and Technology, where he demonstrated academic excellence and received recognition for his performance.

Professional Experience 

He has worked as a research assistant at BRAC University, where he guided undergraduate students in thesis and project work, prepared academic materials, operated laboratory equipment, and contributed to research publications. In addition, he gained industrial experience through his internship at United Ashuganj Energy Ltd., where he was involved in operation and maintenance tasks, including inspection, synchronization, and monitoring of power plant systems.

Research Interests 

His research interests include intelligent reflecting surface assisted communications, quantum communications, signal processing, visible light communications, antenna design, and emerging technologies for 5G and beyond. He has published impactful works on reconfigurable intelligent surfaces, quantum-based visible light communication, and the integration of AI in next-generation networks.

Awards and Honors 

He has received prestigious scholarships, including the Special Scholarship Program for doctoral studies in Japan and a Japan Student Services Organization (JASSO) scholarship. Earlier in his academic career, he was recognized with a Dean’s Award for academic excellence. He also participated in project competitions, notably contributing to the NASA Space Apps Challenge with a project on forest fire detection using wireless sensor networks.

Research Skills 

He possesses strong research and technical skills in circuit simulation, system modeling, and numerical analysis using tools such as MATLAB, Ansys, ORCAD, and Multisim. He is proficient in software for design and documentation and has beginner-level programming knowledge in Python and C. His training in PLC, VFD, HMI, IC design, and nanotechnology further complements his academic expertise. He also serves as a reviewer for international journals, contributing to scholarly evaluation and knowledge dissemination.

Publications 

  • A Comprehensive Review on Reconfigurable Intelligent Surface for 6G Communications: Overview, Deployment, Control Mechanism, Application, Challenges, and Opportunities
    Year: 2024

  • Quantum Communication Systems: Vision, Protocols, Applications, and Challenges
    Year: 2023

  • Reconfigurable Intelligent Surface Assisted BackCom: An Overview, Analysis, and Future Research Directions
    Year: 2023

  • Visible Light Communication Based on Quantum Principles for Future Wireless Communication Systems
    Year: 2025

  • A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges and Opportunities
    Year: 2024

Conclusion 

Syed Rakib Hasan is a dedicated and promising researcher whose academic achievements, professional training, and research contributions establish him as a strong candidate for advancing future communication technologies. His multidisciplinary expertise, international exposure, and active involvement in both academic and industry-driven projects highlight his potential to become a research leader in the fields of wireless and quantum communications.

 

 

Fangming Liu | Computer Science | Best Researcher Award

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Mr. Fangming Liu | Computer Science | Best Researcher Award

Professor at Huazhong University of Science & Technology | China

Fangming Liu is a Full Professor at the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, and is also affiliated with Peng Cheng Laboratory, Shenzhen. He is widely recognized for his pioneering contributions to cloud and edge computing, data centers, green computing, software-defined networking, and applied artificial intelligence, establishing himself as a leading figure in computer science and engineering research.

Publication Profile 

Scopus

Google Scholar

Educational Background 

He completed his undergraduate studies in Computer Science and Technology at Tsinghua University and later pursued his doctoral degree in Computer Science and Engineering at the Hong Kong University of Science and Technology, where he developed strong expertise in distributed systems and large-scale computing.

Professional Experience 

Fangming Liu began his career as a software engineer in Beijing, gaining practical industry exposure before moving into academic and research roles. He worked as a research assistant at the Chinese University of Hong Kong and further expanded his international research experience as a visiting scholar at the University of Toronto. He has been with Huazhong University of Science and Technology for over a decade, where he currently serves as a Full Professor, leading research and academic initiatives in computer science and technology.

Research Interests 

His research interests span across cloud computing, edge computing, green and sustainable data centers, networking and distributed systems, mobile cloud computing, peer-to-peer systems, and the integration of machine learning and artificial intelligence with modern network and computing infrastructures.

Awards and Honors 

Fangming Liu has been recognized with numerous prestigious awards and honors. He is a recipient of the National Natural Science Fund for Excellent Young Scholars and the National Program Special Support for Top-Notch Young Professionals. He has received the First Class Prize of Natural Science from the Ministry of Education in China and the Second Class Prize of the National Natural Science Award in China. Internationally, his research has earned Best Paper Awards at major conferences including IEEE/ACM IWQoS, ACM e-Energy, and IEEE GLOBECOM.

Research Skills 

He demonstrates advanced skills in distributed computing, intelligent system design, network optimization, and sustainable computing solutions. His ability to merge theoretical models with practical system implementations has contributed significantly to advancements in next-generation computing and communication infrastructures.

Publications 

Gearing Resource-Poor Mobile Devices With Powerful Clouds: Architectures, Challenges, And Applications

Citation: 469

Year: 2013

Managing performance overhead of virtual machines in cloud computing: A survey, state of the art, and future directions

Citation: 350

Year: 2013

A Framework for Truthful Online Auctions in Cloud Computing with Heterogeneous User Demands

Citation: 307

Year: 2013

iAware: Making live migration of virtual machines interference-aware in the cloud

Citation: 263

Year: 2013

Building a network highway for big data: architecture and challenges

Citation: 258

Year: 2014

Conclusion 

In conclusion, Fangming Liu is a highly accomplished academic and researcher whose career reflects excellence in both scholarship and innovation. His impactful work in cloud and edge computing, data centers, networking, and applied AI has not only advanced the field of computer science but also provided solutions with real-world applications, positioning him as a leader in his discipline with ongoing influence in global research and technology development.

 

 

 

Quanfei Zhang | Economics | Best Researcher Award

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Dr. Quanfei Zhang | Economics | Best Researcher Award

Ph.D. candidate at Shandong University | China

Quanfei Zhang is an emerging scholar with a strong academic background in management and economics, specializing in environmental economics and the intersection of digital technologies with economic development. His work focuses on the relationships between land resources, carbon emissions, taxation, and policy reforms in China, with a particular interest in how environmental and economic systems interact under institutional and technological change. He has already made significant contributions through published articles, working papers, and participation in national-level research projects.

Publication Profile 

Orcid

Educational Background 

He is currently pursuing a Master’s and Doctoral Joint Program at Shandong University, building on his undergraduate studies in management at Shandong University of Finance and Economics. During his academic journey, he has gained early exposure to research through the Youth Elites Project and progressively developed advanced expertise in econometric analysis, policy evaluation, and computational approaches to economics.

Professional Experience 

He has engaged in teaching and research roles since his undergraduate years, serving as a teaching assistant for econometrics and software application courses and actively contributing to collaborative research projects. His professional experience includes empirical research on issues such as carbon emission efficiency, land resource mismatch, taxation policy, and corporate transformation under regional integration. He has collaborated with senior scholars and contributed to national research projects by managing data analysis, drafting reports, and producing working papers.

Research Interests 

His research interests lie in environmental economics, fiscal policy, and regional integration, with a particular focus on the impact of institutional changes and policy frameworks on carbon emissions and firm behavior. He is also deeply engaged in the integration of advanced computational methods with economics, including the use of large language models and agent-based models to simulate complex socio-economic interactions. His work bridges traditional econometric analysis with cutting-edge approaches in artificial intelligence and machine learning.

Awards and Honors 

He has received numerous scholarships and honors throughout his academic career, including national and provincial scholarships, as well as multiple recognitions as an outstanding student. His undergraduate thesis won first place at a major academic forum, and his competition papers have earned recognition in prestigious academic contests. He has also been awarded honors for academic excellence and leadership within his institutions.

Research Skills 

He is proficient in a wide range of research tools and methodologies. His technical expertise includes econometric modeling, Difference-in-Differences methods, and machine learning applications. He is skilled in software such as STATA, Python, MATLAB, ArcGIS, and R, and has strong programming capabilities for handling large and complex datasets. His familiarity with multiple economic databases and spatial data formats further enhances his ability to conduct rigorous and innovative research. In addition, he actively participates in academic conferences, engaging with international scholars and presenting his work, which strengthens his academic communication and collaborative skills.

Publications 

  1. The ‘Inverted U-Shape’ Impact of Digital Inclusive Finance on Corporate Carbon Emission Intensity: The Synergy of Digital Finance and Green Policies.
    Year: 2023

  2. Bank-Enterprise Proximity, Digital Finance, and Corporate Digital Transformation.
    Year: 2024

  3. Will Public Transportation Facilitate Digital Transformation for Enterprises: Based on the Quasi-natural Experiment of China’s Metro Opening.
    Year: 2024

Conclusion 

Overall, Quanfei Zhang demonstrates a strong academic foundation, an impressive record of research productivity, and a clear commitment to advancing knowledge in environmental economics and digital transformation. His interdisciplinary approach, combining traditional economic methods with modern computational tools, positions him as a promising researcher with the potential to make substantial contributions to the academic community and policy-oriented studies in economics.

 

Ashish Ranjan Dash | Engineering | Best Researcher Award

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Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.

Mehrdad Esmaeilipour | Biotechnology | Excellence in Innovation Award

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Mr. Mehrdad Esmaeilipour | Biotechnology | Excellence in Innovation Award

Parsa Pardazesh Booshehr Sanaat | Iran 

Mehrdad Esmaeilipour is a dedicated and results-driven electronic engineer with significant expertise in green technology, environmental sustainability, and smart system development. With a robust background in electronic circuit design, plasma systems, and digital health innovations, he plays a leading role in integrating engineering excellence with social impact. He currently contributes as a senior electronics engineer at a company specializing in air and water purification systems and also leads his own successful electronics and IT firm. His entrepreneurial mindset and technical expertise have led to multiple product innovations, including a smart bracelet for visually impaired individuals and several intelligent air purification systems. Additionally, he has made notable contributions to robotics through voluntary academic mentorship and team leadership.

Publication Profile 

Google Scholar

Educational Background 

He holds a bachelor’s and an associate degree in electronics engineering from Islamic Azad University. His educational background also includes foundational studies in electronics at a technical high school. His formal training has been further enhanced by certifications in cybersecurity, solar photovoltaic systems, HSE, robotics, and industrial safety.

Professional Experience 

Mehrdad has accumulated rich professional experience in both industrial and academic contexts. As a senior electronics engineer, he leads the design, development, and quality control of advanced electronic systems for environmental applications. In parallel, he serves as the CEO of an electronics and IT company where he manages cross-functional teams and has overseen the successful execution of security, networking, and software projects. His work also includes mentorship roles within university robotics teams, where he contributes to system design, sensor integration, and control strategies.

Research Interests 

His research focuses on environmental electronics, cold plasma technology, artificial intelligence in healthcare, robotic control systems, electronic data engineering, and smart wearable systems. He is particularly interested in developing sustainable technologies that address real-world challenges through a multidisciplinary approach.

Awards and Honors 

Mehrdad has received numerous international accolades for his engineering innovations and societal impact. These include the Tech Excellence Award, Best Wearable Sensing Technology Award, and Best Innovator Award, among others. He has also earned recognition from academic and professional organizations in both engineering and business domains.

Research Skills 

He possesses strong expertise in electronic circuit design, embedded systems, sensor integration, control systems (including PID and fuzzy logic), and smart system architecture. He is proficient in tools such as Altium Designer and Eagle, and he has demonstrated capability in both hardware and software integration for industrial and research applications. His skills are complemented by project management, analytical reasoning, and interdisciplinary collaboration.

Publications 

  1. Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications
    Year: 2025

  2. Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot
    Year: 2025

  3. The Utilization of Artificial Intelligence Technologies in the Domain of Electronic Data Engineering
    Year: 2025

  4. Single Miller Compensation with Split Output and Current Amplifier Use in Three Stage Amplifiers to Drive Ultra Large Capacitive Loads
    Year: 2015

Conclusion 

Mehrdad Esmaeilipour exemplifies a forward-thinking engineer who merges technological innovation with a commitment to environmental and social betterment. His extensive practical experience, research output, and leadership across industry and academia reflect his capacity to contribute meaningfully to the advancement of electronic engineering and sustainability-driven technologies.