Ke Jiang | Communication | Best Scholar Award

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Dr. Ke Jiang | Communication | Best Scholar Award

Communication University of China | China

Ke Jiang is a lecturer at the Communication University of China and a research fellow at the Creative Industry Centre of the School of New Media, Peking University. With a strong academic and research background in new media studies, digital communication, and linguistic culture, she combines teaching, research, and project leadership to advance knowledge in media and communication. She is actively involved in international academic associations, conferences, and scholarly publishing, contributing to the global dialogue on media evolution and cultural change.

Publication Profile 

Orcid

Educational Background 

Ke Jiang completed her PhD in New Media Studies at Peking University, following a master’s degree in Software Engineering from Peking University and a bachelor’s degree in Economics from Beijing Institute of Technology. She also pursued international academic training in English language and cultural studies at the University of Pennsylvania in the United States and studied international design at Istituto Marangoni in Paris.

Professional Experience 

Her academic career includes her current role as a lecturer at the Communication University of China and her part-time research fellowship at Peking University. She has extensive teaching experience in subjects such as design history, science and arts, cyber language, and new media writing. Additionally, she has served as a teaching assistant in courses on media innovation and entrepreneurship. Beyond teaching, she has been actively engaged in research projects supported by the Ministry of Education, Tencent, and Peking University, focusing on short video promotion, internet language governance, and Chinese film and television culture.

Research Interests 

Her research focuses on new media theory and culture, digital communication, internet language, linguistic culture, and the socio-cultural implications of emerging communication technologies. She has presented her findings at international academic conferences and contributed to discussions on netspeak, news diversity, platform responsibility, and online fan culture.

Awards and Honors 

Ke Jiang’s research has received recognition through publications in peer-reviewed journals and her inclusion in projects of national importance. Her articles on internet language and media evolution have been republished by leading media outlets such as Xinhua News Agency, People’s Daily, and Peking University News, highlighting the societal relevance and impact of her work.

Research Skills 

She demonstrates strong skills in academic research design, critical analysis of digital media practices, cross-cultural studies, project management, and data interpretation. Her experience as a reviewer for international conferences and journals further illustrates her expertise in scholarly evaluation and communication.

Publications 

  • The anthropotropic evolution of Chinese cyber language: a study of dissemination patterns, communication mechanisms, and self-regulatory features.

  • Year: 2025

  • More Diversity, Same Framework: A Comparative Analysis of Video Platforms and Aggregated Platforms in China.

  • Year: 2025

  • Issues and Governance of Internet Language from the Perspective of Media Evolution.

  • Year: 2021

  • Research Report on the Development of Chinese Internet Language.

  • Year: 2020

  • Three Ideal Types of Internet Buzzword Spread.

  • Year: 2021

Conclusion 

Ke Jiang has established herself as a promising scholar in the field of media and communication studies, with significant contributions to the understanding of new media culture, internet language, and digital communication. Her interdisciplinary background, international exposure, and engagement with both academic and applied projects demonstrate her ability to bridge theory with practice. With her growing body of publications, teaching expertise, and global academic presence, she continues to contribute meaningfully to the advancement of communication research and education.

Rui Wu | Economics | Innovative Research Award

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Assoc. Prof. Dr. Rui Wu | Economics | Innovative Research Award

Director at Hubei University of Science and Technology | China

Rui Wu is a prominent economist and academic leader with extensive experience in teaching and research. He has contributed significantly to the development of rural economy, local finance, and public services, combining rigorous academic work with practical policy applications. He has led multiple research projects, published widely, and mentored young researchers, establishing himself as an influential figure in his field.

Publication Profile 

Scopus

Educational Background 

Rui Wu earned his PhD in Economics from Wuhan University, a Master’s degree in Economics from Xinjiang University of Finance and Economics, and a degree in Mathematics from Jingzhou Normal College. His educational background reflects a strong foundation in quantitative and economic analysis, which underpins his research in rural economy and public finance.

Professional Experience 

He has taught at the high school level for nearly ten years and has worked in higher education for over twenty years. He currently serves as a director in the Department of Economics at Hubei University of Science and Technology. Rui Wu has led more than fifteen research projects, including provincial and national initiatives, and actively engages in collaborative consultancy projects focused on rural public service systems, fiscal decentralization, and local economic reform.

Research Interests 

Rui Wu’s research primarily focuses on rural economic development, local finance, public service optimization, fiscal decentralization, and the interaction between education and rural poverty alleviation. He integrates empirical analysis with policy-oriented research to address societal challenges and improve local governance.

Awards and Honors 

Rui Wu has been recognized for his academic achievements and leadership within the economics community. He serves as a director of the Hubei Education Economics Society and has gained wide acknowledgment for his research contributions from peers and local government authorities.

Research Skills 

His skills include economic research, project management, quantitative and statistical analysis, policy evaluation, public finance modeling, and academic mentoring. He is experienced in leading research teams, guiding student research, and translating research findings into practical policy recommendations.

Publications 

  • How can rural industrial revitalization and rural education level reduce the urban–rural income gap?

  • Year: 2025

  • Research on the Impact of Moderate Decentralization of Financial Power by Superior Governments on Local Economic Efficiency and Public Service

  • Year: 2024

  • Research on the Supply Efficiency of Health Services in China Based on DEA-ESDA Model and Malmquist Index

  • Year: 2024

  • Research on Financial Security for Rural Public Health Service Talents

  • Year: 2024

  • At present, the construction of a reasonable model for China’s public finance system

  • Year: 2015

Conclusion 

Rui Wu has demonstrated a sustained commitment to advancing both academic knowledge and practical solutions in rural economy and public finance. His leadership in research, mentorship of young scholars, and contributions to local government policy reflect a strong alignment with innovative and impactful research. His work has significantly influenced the development of the Economics program at his institution and the broader field of economic policy at the local and regional levels.

Hongyan Tian | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Hongyan Tian | Mechanical Engineering | Best Researcher Award

Hebei University of Technology | China

Hongyan Tian is an Associate Professor at the School of Mechanical Engineering, Hebei University of Technology. Her research is centered on three main domains: aerodynamic design and optimization of turbomachinery, aerodynamic performance analysis of wind turbines, and the development and application of multi-scale coupling theory. She has contributed to several high-impact projects, including those supported by the National Natural Science Foundation of China, the Hebei Natural Science Foundation, and the Ministry of Education’s Key Laboratories. Over the course of her career, she has published more than thirty peer-reviewed articles in leading domestic and international journals, making significant contributions to mechanical and energy engineering research.

Publication Profile 

Scopus

Educational Background 

She obtained her doctoral degree in mechanical engineering from Lanzhou University, where she developed a strong foundation in theoretical and applied aspects of fluid mechanics and engineering design.

Professional Experience 

She has built her academic career at Hebei University of Technology, where she first served as a lecturer and later advanced to her current position as Associate Professor. Throughout her professional journey, she has combined teaching, supervision, and research, actively contributing to the advancement of mechanical engineering through interdisciplinary and application-oriented approaches.

Research Interests 

Her primary research interests include the aerodynamic design, numerical simulation, and optimization of turbomachinery such as centrifugal compressors and turbines. She also focuses on aerodynamic analysis and efficiency enhancement of wind turbines through flow control strategies, as well as the study and application of multiscale coupling theory in engineering systems. Her work spans both theoretical modeling and practical performance improvement, bridging fundamental science and industrial applications.

Awards and Honors 

She has been involved in multiple competitive research projects supported by prestigious national and regional funding bodies. These include projects sponsored by the National Natural Science Foundation of China and the Hebei Natural Science Foundation, which reflect recognition of her expertise and leadership in advancing aerodynamic research.

Research Skills 

She is skilled in aerodynamic design and simulation, computational fluid dynamics (CFD), wind energy performance optimization, and multiscale modeling. Her methodological strengths include robust optimization, reinforcement learning approaches for aerodynamic control, and numerical analysis of complex flow fields. These skills enable her to develop innovative solutions for improving the efficiency, stability, and sustainability of turbomachinery and wind energy systems.

Publications 

  • Fracture analysis of a 3D rectangular permeable crack and two 3D rectangular permeable cracks in the orthotropic piezoelectric media

  • Year: 2019

  • A model for photothermal conversion of graphene-filled nanocomposites under NIR irradiation

  • Year: 2020

  • Effect of Leading/Trailing Edge Swept Impeller on Flow Characteristics of Low Specific Speed Centrifugal Compressor

  • Year: 2023

  • Optimization and control strategy for wind turbine aerodynamic performance under uncertainties

  • Year: 2024

  • Active particle manipulation with valley vortex phononic crystal

  • Year: 2024

Conclusion 

Hongyan Tian is an accomplished researcher and academic whose work integrates advanced theory with practical applications in mechanical and energy engineering. Through her dedication to turbomachinery design, wind turbine performance, and multiscale modeling, she has significantly advanced the field, earning recognition through high-quality publications and competitive research grants. Her academic journey and contributions reflect a strong commitment to innovation, interdisciplinary collaboration, and the sustainable development of energy and mechanical systems.

Jamie Crowther | Criminology | United Kingdom

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Dr. Jamie Crowther | Criminology | United Kingdom

NHS research fellow | United Kingdom

Dr. Jamie Crowther is an applied researcher and evaluator specialising in qualitative and participatory research with a strong focus on youth justice, violence prevention, wellbeing, and the role of sport in social change. He has built a reputation for translating complex research into accessible outputs for policy makers and practitioners, and his work has directly informed national funding decisions and shaped guidance for government departments, local authorities, and national governing bodies.

Publication Profile 

Scopus

Google Scholar

Educational Background 

He holds a PhD in Criminology from Manchester Metropolitan University, where his thesis critically examined rugby union as a means of supporting positive youth development in the youth justice system. He also earned a Master’s by Research in Education and a Bachelor’s degree in Sports Coaching and Development, both from the University of Gloucestershire.

Professional Experience 

Dr. Crowther is currently a Research Fellow at the Bradford Institute for Health Research, where he leads major applied research projects, including multi-million-pound initiatives such as the JU:MP Local Delivery Pilot and Age of Wonder Qualitative Longitudinal Research. He has previously worked as a Research Associate at the University of Glasgow, where he adapted family health programmes for prison contexts, and at Get the Data Ltd, where he evaluated youth justice reforms and institutional practices. Earlier in his career, he held roles in programme development and community management with Volunteering Matters, the Huddersfield Giants Community Trust, and Blueprint Pupil Referral Unit, designing and implementing community sport and wellbeing interventions.

Research Interests 

His research interests lie in youth justice, positive youth development, masculinity and sport, violence prevention, participatory methodologies, qualitative longitudinal research, mixed-methods evaluation, and translating evidence into policy and practice tools.

Awards and Honors 

He is a co-applicant and lead researcher on a prestigious MRC Public Health Intervention Development Grant for the project “Leaders Like Us,” which focuses on developing equitable physical activity leadership opportunities for young women and non-binary people from underserved groups. His research leadership has also contributed to large-scale funded projects, including multimillion-pound Sport England and public health initiatives.

Research Skills 

Dr. Crowther’s core skills include the design and delivery of evaluations using qualitative, quantitative, and mixed methods; methodological leadership in participatory and realist-informed approaches; evidence synthesis; stakeholder engagement with government, third sector, and community partners; and the production of accessible outputs such as infographics, policy briefs, and toolkits. He is also highly experienced in training and mentoring colleagues and advancing equality, diversity, and inclusion in research practice.

Publications 

  • How to develop young physical activity leaders? A Delphi study

  • Citation: 5

  • Year: 2023

  • Kicking crime into touch: an ethnographic exploration of rugby union as a vehicle for supporting Positive Youth Development in the youth justice system

  • Citation: 4

  • Year: 2023

  • Taking a partnership approach to embed physical activity in local policy and practice: a Bradford District case study

  • Citation: 3

  • Year: 2025

  • Adapting ripple effects mapping for evaluating public health initiatives in complex systems: reflections and recommendations from seven case studies

  • Citation: 1

  • Year: 2025

  • Kicking Crime into Touch: Rugby

  • Citation: 1

  • Year: 2022

Conclusion 

In summary, Dr. Jamie Crowther is an accomplished researcher whose work spans youth justice, health, and sport, underpinned by methodological innovation and a strong commitment to social impact. His ability to connect rigorous academic research with policy and practice has secured significant funding, influenced national decision-making, and empowered community-led approaches to wellbeing and development. He stands out as a leader in applied research with a proven record of advancing both knowledge and practice in meaningful ways.

Wenrui Zhang | Analytical Chemistry | Best Researcher Award

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Dr. Wenrui Zhang | Analytical Chemistry | Best Researcher Award

PhD at Dalian University of Technology | China

Wenrui Zhang is a dedicated researcher in the field of Analytical Chemistry, with a particular focus on wearable electrochemical sensors. His academic and research journey reflects a strong commitment to advancing sensor technologies that address both environmental and biomedical challenges. Through his work, he has contributed to the design, development, and application of innovative devices with promising potential for real-world use.

Publication Profile 

Scopus

Educational Background 

Wenrui Zhang is currently pursuing his doctoral studies in Analytical Chemistry at Dalian University of Technology. His academic training has provided him with a solid foundation in electrochemistry, nanomaterials, and device engineering, which he has effectively applied to his research projects.

Professional Experience 

As a researcher, Zhang has gained expertise in preparing and characterizing nanomaterials, designing wearable electrochemical devices, and applying them across a variety of analytical contexts. His experience is reflected in his ongoing research projects and publications in peer-reviewed journals indexed in Scopus. His active engagement in research demonstrates his ability to integrate scientific knowledge into practical sensor applications.

Research Interests 

His primary research interests include analytical chemistry, electroanalysis, and wearable sensors. Within these areas, he is particularly focused on developing wearable electrochemical platforms for monitoring environmental pollutants, metabolites in human body fluids, and constituents of wound exudates. These interests align closely with the growing global demand for intelligent and portable health and environmental monitoring systems.

Awards and Honors 

Zhang is a member of the International Society of Electrochemistry, highlighting his connection to the international research community and his commitment to contributing to scientific discourse. His research achievements have earned recognition within his field, positioning him as a promising early-career researcher.

Research Skills 

He possesses a diverse set of research skills that span nanomaterial synthesis and characterization, sensor fabrication, and device application. His expertise also includes data interpretation and the development of scalable solutions for practical challenges in electroanalysis. These technical and analytical skills form the backbone of his innovative contributions to wearable sensor technologies.

Publications 

1. Breathable Wearable Smartsensors Deriving from Interface Self-Assembled Film for Tracking L-Cysteine

Year: 2024

2. Wearable Smartsensors Deriving from Cationic-induced 2D-2D Co-assembled Films for Nutrient Monitoring

Year: 2024

3. Wearable Self-Powered Smartsensors Enabled by 2D Flower-like Ni-Co Layered Double Hydroxides for Copper Monitoring in Sweat

Year: 2024

4. Multifunctional Prussian Blue from Nano-structure Designed to Wearable Sensors Application

Citations: 6

Year: 2022

5. Wearable Biomolecule Smart Sensor Based on Au@PB NPs with High Electrochemical Activity

Citations: 5

Year: 2021

Conclusion 

Wenrui Zhang is an emerging researcher whose innovative work in wearable electrochemical sensors is making significant contributions to both environmental and biomedical monitoring. His academic training, research skills, and professional involvement underscore his potential to become a leading scientist in analytical chemistry. With a clear vision for advancing sensor technologies and a growing body of impactful research, he stands out as a strong candidate for recognition through research awards.

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 

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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.