Kavuri Satheesh | Cryptography | Best Researcher Award

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Dr. Kavuri Satheesh | Cryptography | Best Researcher Award

Vasireddy Venkatadri International Technological University | India 

Dr. Kavuri K. S. V. A. Satheesh is an accomplished academician and researcher with over two decades of experience in the field of computer science and engineering. His passion for teaching and research has led to significant contributions in cloud computing, blockchain technology, and network security. He has consistently demonstrated excellence in both teaching and research, publishing numerous papers in reputed journals and participating in conferences.

Publication Profile 

Scopus

Google Scholar

Educational Background 

He holds a Ph.D. in Computer Science and Engineering, along with postgraduate and undergraduate degrees in computer science. Additionally, he completed an M.Tech. in Computer Science and Engineering, establishing a strong academic foundation that supports his teaching and research expertise.

Professional Experience 

With a career spanning more than 25 years, he has served in various academic roles ranging from Lecturer to Professor in reputed engineering institutions. His responsibilities have included mentoring postgraduate and engineering students, delivering lectures on advanced computer science topics, and guiding research projects.

Research Interests 

His primary research interests lie in cloud computing, blockchain technology, and network security. He has explored innovative solutions to enhance security in cloud environments and developed models for authentication, encryption, and secure data management. His work also extends to artificial intelligence, machine learning, and their integration with secure computing models.

Awards and Honors 

He has published extensively in SCI and Scopus-indexed journals, authored a book on network and system security, and contributed chapters to reputed publications. Additionally, he holds patents related to cryptographic systems and data security techniques, reflecting his commitment to technological innovation and applied research.

Research Skills 

Dr. Satheesh possesses strong expertise in encryption models, secure authentication systems, data access control, and cryptographic techniques for cloud environments. His technical skills span programming languages, algorithm design, and security protocol development. He has also participated in several faculty development programs and advanced workshops on machine learning, blockchain, and cloud computing.

Publications 

  1. Title: Data authentication and integrity verification techniques for trusted/untrusted cloud servers
    Citations: 20
    Year: 2014

  2. Title: Resource allocation method using scheduling methods for parallel data processing in cloud
    Citations: 16
    Year: 2012

  3. Title: An improved integrated hash and attributed based encryption model on high dimensional data in cloud environment
    Citations: 9
    Year: 2017

  4. Title: A Novel Hardware Parameters Based Cloud Data Encryption and Decryption Against Un-Authorized Users
    Citations: 5
    Year: 2016

  5. Title: Cryptographic access control schemes in cloud storage services
    Citations: 5
    Year: 2015

Conclusion 

Dr. Kavuri K. S. V. A. Satheesh is a dedicated educator and researcher committed to advancing knowledge in computer science and engineering. His extensive teaching experience, impactful research, and innovative contributions to security in cloud and distributed systems underscore his suitability for academic leadership and research-driven roles in higher education and industry collaborations.

Dasthavejula Roja | Cyber Threat | Best Researcher Award

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Mrs. Dasthavejula Roja | Cyber Threat | Best Researcher Award

Assistant Professor at Chalapathi Institute of Technology, India

Mrs. Dasthavejula Roja is an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, Andhra Pradesh, India. With over 5 years of academic experience, she is known for her commitment to excellence in teaching and mentoring, as well as her active participation in research and professional development. She is currently pursuing her Ph.D. in Computer Science and Engineering at The Glocal University, Saharanpur, Delhi.

Publication Profile 

Google Scholar

Educational Background 🎓

  • Ph.D. (Pursuing) in Computer Science and Engineering
    The Glocal University (Deemed to be University), Saharanpur, Delhi

  • M.Tech in Computer Science and Engineering
    Chebrolu Engineering College, JNTUK, Kakinada – First Class with Distinction (July 2018)

  • B.Tech in Computer Science and Engineering
    PNC & Vijay Institute of Engineering and Technology, JNTUH, Hyderabad – First Class (May 2015)

Professional Experience 💼

Mrs. Dasthavejula Roja is currently serving as an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, since March 2021. In this role, she has been actively involved in teaching core subjects such as C Programming, Machine Learning, Cloud Computing, Blockchain Technology, Operating Systems, Software Project Management, and more. She has also contributed significantly to institutional development by coordinating and mentoring students during hackathons, and playing a key role as an NBA (National Board of Accreditation) member responsible for documentation and criteria fulfillment.

Prior to her current position, she worked as an Assistant Professor at PNC & Vijay Institute of Engineering and Technology (PNCVIET) from August 2018 to February 2021. During her tenure there, she contributed to undergraduate teaching, curriculum development, and student mentoring, establishing a strong foundation in technical education and pedagogy. With a cumulative teaching experience of over 5 years, she has demonstrated consistent dedication to academic excellence, innovation in teaching methodologies, and active participation in co-curricular initiatives.

Research Interests 🔬

  • Cybersecurity and Intrusion Detection

  • Internet of Things (IoT)

  • Cloud and Distributed Computing

  • Blockchain Technology

  • Deep Learning and AI

  • Smart Agriculture and Yield Prediction Models

  • Learning Analytics

Awards and Honors🏆✨

  • Best Faculty Award – Chalapathi Institute of Technology (2023–2024)

  • Multiple Certificates of Appreciation from NPTEL (Evangelist, Mentor, Discipline, Believer Star)

  • Educator Mentor Award by AICTE Internship (EDUSKILLS)

  • Celonis Educator – EDUSKILLS

  • Ratified as Assistant Professor by JNTUK, Kakinada (2022)

Memberships

  • IAENG: 294814

  • IAAC: FRTJQC-CE000874

  • ISOC (Internet Society): 2249916

  • IFERP: PM51493806

Conclusion🌟

Mrs. Dasthavejula Roja is a dedicated and forward-thinking academician with a passion for research, innovation, and continuous learning. Her involvement in high-impact research, extensive NPTEL certifications, and accolades from national organizations reflect her dynamic engagement in both teaching and professional development. She aims to contribute significantly to the fields of data science, cybersecurity, and smart agriculture through academic research and collaborative initiatives.

Publications 📚

📚 Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking
👥 M. Venkateswara Rao, S.S. Vellela, V. Reddy, N. Vullam, K.B. Sk, D. Roja
📅 2023 | 🏛️ 9th International Conference on Advanced Computing and Communication
🔢 Cited by: 125

📚 Multi-agent Personalized Recommendation System in E-commerce Based on User
👥 N. Vullam, S.S. Vellela, V. Reddy, M.V. Rao, K.B. Sk, D. Roja
📅 2023 | 🏛️ 2nd International Conference on Applied Artificial Intelligence and Computing
🔢 Cited by: 111

📚 Prediction and Classification of Alzheimer’s Disease Using Machine Learning Techniques in 3D MR Images
👥 K.N. Rao, B.R. Gandhi, M.V. Rao, S. Javvadi, S.S. Vellela, S.K. Basha
📅 2023 | 🏛️ International Conference on Sustainable Computing and Smart Systems
🔢 Cited by: 96

📚 Coronary Heart Disease Prediction and Classification Using Hybrid Machine Learning Algorithms
👥 K.B. Sk, D. Roja, S.S. Priya, L. Dalavi, S.S. Vellela, V. Reddy
📅 2023 | 🏛️ International Conference on Innovative Data Communication Technologies
🔢 Cited by: 79

📚 Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
👥 S.S. Vellela, D. Roja, C. Sowjanya, K.B. Sk, L. Dalavai, K.K. Kumar
📅 2023 | 🏛️ 6th International Conference on Contemporary Computing and Informatics
🔢 Cited by: 70

📚 Design and Implementation of an Integrated IoT Blockchain Framework for Drone Communication
👥 S.S. Priya, S.S. Vellela, V. Reddy, S. Javvadi, K.B. Sk, D. Roja
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 66

📚 A Cloud-based Smart IoT Platform for Personalized Healthcare Data Gathering and Monitoring System
👥 S.S. Vellela, V.L. Reddy, D. Roja, G.R. Rao, K.B. Sk, K.K. Kumar
📅 2023 | 🏛️ 3rd Asian Conference on Innovation in Technology (ASIANCON)
🔢 Cited by: 63

📚 An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
👥 N. Vullam, D. Roja, N.M. Rao, S.S. Vellela, L.R. Vuyyuru, K.K. Kumar
📅 2023 | 🏛️ 3rd International Conference on Innovative Mechanisms for Industry Applications
🔢 Cited by: 57

📚 Cloud-hosted Concept-Hierarchy Flex-based Infringement Checking System
👥 S.S. Vellela, K. Basha Sk, K. Yakubreddy
📅 2023 | 🏛️ International Advanced Research Journal in Science, Engineering and Technology
🔢 Cited by: 56

📚 Prediction and Analysis Using a Hybrid Model for Stock Market
👥 N. Vullam, K. Yakubreddy, S.S. Vellela, K.B. Sk, V. Reddy, S.S. Priya
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 53

Mahir Sharif | Bioinformatics | Best Researcher Award

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Assist. Prof. Dr. Mahir Sharif | Bioinformatics | Best Researcher Award

Prince Sattam ibn Abdelaziz University | Saudi Arabia

Dr. Mahir M. Sharif is an accomplished academic and researcher in the field of Computer Science, specializing in Computational Intelligence and Bioinformatics. He has extensive experience in academia, research, and administration, complemented by leadership roles in multiple universities and colleges. His career reflects a strong commitment to innovation, digital transformation, and applied research in artificial intelligence, deep learning, and assistive technologies.

Publication Profile 

Scopus

Educational Background 

He holds a Ph.D. in Computer Science with a specialization in Computational Intelligence and Bioinformatics from Cairo University. He also earned an M.Sc. in Computer Science from Elneelain University and a B.Sc. in Computer Science from Omdurman Islamic University with distinction.

Professional Experience 

Dr. Sharif has served as an Associate Professor of Computer Science at Stars College for Medical Science and Technology and has held several academic positions, including Assistant Professor at Omdurman Islamic University, Prince Sattam ibn Abdel Aziz University, and other institutions. He has extensive teaching experience in computer science and has contributed as a professional trainer in computer skills and applications. Additionally, he has significant administrative experience, serving as Dean, Deputy Dean, and Head of Departments in various faculties, where he demonstrated strong leadership in academic governance and program development.

Research Interests 

His research focuses on artificial intelligence, deep learning, computational intelligence, bioinformatics, assistive technologies, and smart systems. His recent work includes developing advanced object detection models for visually impaired individuals, enhancing cybersecurity threat detection, and exploring AI-driven applications in IoT and smart cities.

Awards and Honors 

Dr. Sharif has received recognition for his contributions to academia and research through leadership roles, membership in scientific councils, and participation in international conferences and research forums. He has also led and contributed to several funded research projects, notably in AI-driven accessibility technologies and digital platforms for data management.

Research Skills 

He possesses strong expertise in artificial intelligence, machine learning, deep learning algorithms, object detection systems, computational modeling, bioinformatics, and the design of smart solutions. His skills also extend to managing research projects, supervising postgraduate research, and implementing innovative technology-driven approaches to real-world problems.

Publications 

  1. Leveraging Assistive Technology for Visually Impaired People Through Optimal Deep Transfer Learning Based Object Detection Model
    Year: 2025

  2. Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people
    Year: 2025

  3. Feature enhancement model with up sampling based cyber threat attack detection and classification on imbalanced dataset in Industrial Internet of Things
    Year: 2025

  4. IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects
    Year: 2025

  5. Artificial intelligence with greater cane rat algorithm driven robust speech emotion recognition approach
    Year: 2025

Conclusion 

Dr. Mahir M. Sharif exemplifies a dedicated researcher and academic leader with a strong track record in teaching, research, and administration. His contributions to artificial intelligence applications, assistive technologies, and digital innovation demonstrate his capability to bridge academic research with societal impact. His leadership in funded projects and involvement in international collaborations further highlights his commitment to advancing knowledge and technology for the betterment of education and community development.

Ruifeng Dong | Materials Science | Best Innovator Award

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Assoc. Prof. Dr. Ruifeng Dong | Materials Science | Best Innovator Award

Associate Professor at North University of China | China

Dong Ruifeng is a researcher and lecturer with expertise in metallic materials, particularly titanium and titanium alloys, as well as superalloys and aluminum alloys. His work focuses on the processing and heat treatment of metallic materials, forging and rolling deformation, solid-state phase transformation, and advanced material characterization. He has significant experience in crystallography and electron microscopy techniques, including TEM, HRTEM, SEM, and EBSD. His research contributions include studies on microstructural evolution, phase transformations, and their influence on the mechanical properties of alloys.

Publication Profile 

Scopus

Educational Background 

He holds a Ph.D. and a Master’s degree in Materials Science from Northwestern Polytechnical University in China and a Bachelor’s degree in Materials Science from Shaanxi University of Science & Technology. He also completed an academic research visit at LEM3 in France during his doctoral studies.

Professional Experience 

He is currently a lecturer at the North University of China, where he continues his research and teaching activities in materials science and engineering. His previous academic journey includes extensive research in microstructural characterization, phase transformation, and deformation mechanisms of titanium alloys.

Research Interests 

His research interests center on metallic materials, particularly titanium and titanium alloys, superalloys, and aluminum alloys. He focuses on processing methods, heat treatment, forging, rolling deformation, solid-state phase transformation, and the crystallography of metallic systems. His work also emphasizes advanced material characterization using high-resolution microscopy techniques.

Awards and Honors 

He has received multiple academic awards and scholarships during his education, including campus and national-level scholarships for excellence in academic and research performance. These recognitions highlight his consistent achievements and contributions throughout his academic career.

Research Skills 

He is skilled in advanced material characterization techniques such as TEM, HRTEM, SEM, and EBSD. His expertise extends to crystallographic analysis, microstructural characterization, and studying phase transformation mechanisms. He is also proficient in correlating microstructural features with mechanical properties and understanding deformation mechanisms in metallic alloys.

Publications 

1. Correlation between the mechanical properties and the <110> texture in a hot-rolled near β titanium alloy
Year: 2022

2. Hot-corrosion behavior associated with the evolution of corrosion scales of a Ni-based superalloy in molten salts
Year: 2021

3. Morphology characteristics of α precipitates related to the crystal defects and the strain accommodation of variant selection in a metastable β titanium alloy
Year: 2021

4. ω-Assisted refinement of α phase and its effect on the tensile properties of a near β titanium alloy
Year: 2020

5. β to ω transformation strain associated with the precipitation of α phase in a metastable β titanium alloy
Year: 2021

Conclusion 

Dong Ruifeng is a dedicated researcher with a strong academic background and professional experience in the field of metallic materials and advanced characterization. His work integrates theoretical knowledge with practical expertise, contributing significantly to the understanding of phase transformations, deformation behavior, and material properties in metallic systems. He demonstrates strong collaborative skills and adaptability through his international research experience, positioning him as a valuable contributor to scientific and industrial advancements in materials science.

Md Raihan Subhan | Artificial Intelligence | Best Researcher Award

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Mr. Md Raihan Subhan | Artificial Intelligence | Best Researcher Award

PhD at Kumoh National Institute of Technology | South Korea

Md Raihan Subhan is a dedicated researcher in IT Convergence with a strong focus on intrusion detection systems, anomaly detection, AI-driven security, and meta-governance security. His research integrates reinforcement learning, deep learning, blockchain, and natural language processing to address complex cybersecurity challenges. His recent work emphasizes the convergence of blockchain technology with marine tactical systems to design advanced intrusion detection systems. He has also contributed to projects in digital twin-based warehouse logistics for military applications and anomaly detection in manufacturing systems. His publications in leading journals and conferences demonstrate his ability to advance intelligent systems and cybersecurity using innovative approaches.

Publication Profile 

Scopus

Orcid

Google Scholar

Educational Background 

He holds a Master of Engineering in IT Convergence from Kumoh National Institute of Technology, where he specialized in anomaly detection and intrusion detection, achieving an outstanding academic record. His master’s thesis explored blockchain-aided intrusion detection in marine tactical networks using reinforcement learning. Currently, he is pursuing a Ph.D. in IT Convergence Engineering with the same specialization, further strengthening his expertise in intelligent cybersecurity solutions. He also holds a Bachelor’s degree in Computer Science and Engineering from the International University of Business Agriculture and Technology, where he gained foundational knowledge in software engineering, networks, operating systems, and data management.

Professional Experience 

Raihan has experience as a Research Assistant in prominent IT convergence laboratories, where he worked on distributed systems, federated learning, and machine learning applications for cybersecurity. His research activities include developing anomaly detection models, implementing them on real-time edge devices, and integrating blockchain and reinforcement learning techniques for system optimization and security. Prior to his research career, he served as an Academic Counselor in Computer Science, supporting students with academic guidance, research assistance, and career mentoring. This role enhanced his communication and teaching skills while contributing to curriculum development and interdisciplinary research.

Research Interests 

His research interests include intrusion detection systems, anomaly detection, federated learning, blockchain integration, reinforcement learning, AI-driven security, and cybersecurity in industrial and military applications. He is particularly interested in distributed and continual learning approaches for intelligent systems and the application of digital twin technologies in logistics and defense systems.

Awards and Honors 

He has contributed to government-funded research projects in South Korea, including AI implementation on custom edge devices, digital twin solutions for military logistics, and AI-driven optimization in manufacturing execution systems. His work has been recognized through publications in high-impact journals such as IEEE Transactions on Network and Service Management and collaborations with international researchers in advanced IT security and intelligent systems.

Research Skills 

Raihan is proficient in multiple programming languages, including C, C++, Python, R, Java, and Solidity, and has strong experience with simulation and development tools such as MATLAB, TensorFlow, PyTorch, and Remix IDE. He has hands-on experience implementing blockchain consensus algorithms, deploying deep learning models on platforms such as Jetson Nano and Raspberry Pi, and designing AI-based anomaly detection systems. His expertise spans distributed computing, federated learning, digital twins, and AI integration in real-world industrial and defense applications.

Publications 

  1. Meta-governance: Blockchain-driven metaverse platform for mitigating misbehavior using smart contract and AI
    Cited by: 17
    Year: 2024

  2. Comparative study of cryptocurrency wallet security: A hybrid, hot, and cold wallet approach
    Cited by: 3
    Year: 2023

  3. A Blockchain-Based System for Efficient, Traceable, and Transparent Maritime Logistics
    Cited by: 2
    Year: 2024

  4. Federated semi-supervised digital twin for enhanced human-machine interaction in Industry 5.0
    Cited by: 1
    Year: 2024

  5. Elevating transparency in global maritime logistics through blockchain technology
    Cited by: 1
    Year: 2024

Conclusion 

Through his academic achievements, research experience, and innovative contributions, Md Raihan Subhan has established himself as a promising researcher in the field of IT convergence and cybersecurity. His ability to merge advanced technologies such as blockchain, AI, and reinforcement learning to solve real-world security challenges highlights his potential to significantly advance the future of intelligent systems and secure digital infrastructures.

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

Published on by Innovation Technologist

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.