Rajesh Kumar Srivastava | Human-Computer Interaction and Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Best Researcher Award

Rajesh Kumar Srivastava, affiliated with Atharva University, has developed a recognized academic profile in the interdisciplinary domains of Human-Computer Interaction and Augmented Reality. His scholarly contributions reflect engagement with immersive technologies, interactive computing systems, and advanced digital interface methodologies. The academic record associated with this profile demonstrates measurable research productivity and citation visibility, positioning the researcher within evolving technological and innovation-driven research landscapes.[1]

Research Profile
Researcher Rajesh Kumar Srivastava
Affiliation Atharva University
Country India
Scopus ID 56655216000
Documents 55
Citations 980
h-index 13
Subject Area Human-Computer Interaction and Augmented Reality
Event Global Tech Excellence Awards

Abstract

The Best Researcher Award article evaluates the academic profile and scholarly contributions of Rajesh Kumar Srivastava in the field of Human-Computer Interaction and Augmented Reality. The research portfolio demonstrates measurable academic productivity, citation visibility, and interdisciplinary engagement within immersive computing and interactive system development. The evaluation considers publication impact, research dissemination, and alignment with innovation-oriented research frameworks associated with the Global Tech Excellence Awards.[1]

Keywords

Human-Computer Interaction, Augmented Reality, Immersive Technologies, Interactive Computing, Best Researcher Award, Digital Innovation, User Experience Systems, Computational Interfaces, Research Excellence, Emerging Technologies.

Introduction

Human-Computer Interaction and Augmented Reality continue to influence the evolution of intelligent digital systems and immersive user experiences. The increasing integration of computational interfaces within industrial, educational, healthcare, and communication environments has expanded the importance of research focused on user-centered technology design and interactive visualization systems.

Rajesh Kumar Srivastava’s academic profile reflects engagement with interdisciplinary technological research connected to interactive systems and immersive computing environments. The documented publication and citation metrics indicate sustained scholarly participation and academic visibility within rapidly developing research areas related to digital interaction technologies.[1]

Research Profile

The research profile associated with Rajesh Kumar Srivastava demonstrates scholarly productivity through Scopus-indexed publications and measurable citation impact. The profile includes fifty-five indexed documents and nearly one thousand citations, reflecting research dissemination and scholarly recognition within the academic community. The h-index of thirteen further indicates citation consistency across multiple research outputs.[1]

Research within Human-Computer Interaction and Augmented Reality commonly integrates computational methodologies, visualization systems, immersive simulation technologies, and intelligent user interface design principles. Such interdisciplinary approaches contribute to advancements in both theoretical frameworks and applied digital innovation systems.Extensive publication activity within interactive technology research.

  • Research visibility through citation-based academic indicators.
  • Interdisciplinary engagement with immersive computing methodologies.
  • Contribution toward intelligent user interaction systems and visualization technologies.

Research Contributions

Research contributions associated with Human-Computer Interaction and Augmented Reality frequently address intelligent interface systems, immersive digital communication, interactive simulations, and user experience optimization. These areas have become increasingly important in contemporary technological ecosystems involving digital transformation and adaptive computational systems.

The academic contributions reflected within the research profile suggest participation in broader technological research initiatives involving emerging computing frameworks and immersive environments. Such research supports advancements in interdisciplinary innovation and applied intelligent interaction technologies.

  • Research in immersive and augmented interaction environments.
  • Contributions to user-centered computational systems.
  • Academic engagement with digital visualization and intelligent interfaces.
  • Participation in interdisciplinary technology research initiatives.

Publications

Publication records indexed through international academic databases demonstrate the dissemination of research findings across recognized scholarly platforms. Publication productivity contributes to research visibility and supports the exchange of scientific knowledge within interdisciplinary technology domains.[1]

  1. Research publications associated with Human-Computer Interaction systems.
  2. Studies focused on immersive visualization technologies and digital interfaces.
  3. Interdisciplinary investigations involving computational interaction models.
  4. Scholarly contributions related to intelligent user experience environments.

Research Impact

Research impact is frequently evaluated through publication productivity, citation performance, interdisciplinary influence, and academic visibility. The citation profile associated with Rajesh Kumar Srivastava demonstrates measurable scholarly engagement and sustained recognition within relevant research communities.

The combination of publication count, citation metrics, and h-index indicators suggests continued relevance within emerging technological research domains. Such metrics further support the broader impact of immersive technology research within digital transformation initiatives and intelligent computational ecosystems.[1]

Award Suitability

The academic profile demonstrates several characteristics commonly associated with international research recognition programs, including publication visibility, measurable citation impact, interdisciplinary research engagement, and relevance to emerging technology innovation. The documented scholarly activity aligns with evaluation frameworks commonly used for technology-oriented academic awards.

The Global Tech Excellence Awards emphasize innovation, research advancement, and interdisciplinary technological contributions. Research connected to Human-Computer Interaction and Augmented Reality aligns with the objectives of promoting transformative digital technologies and future-oriented scientific development.

Conclusion

Rajesh Kumar Srivastava’s research profile reflects sustained scholarly participation within Human-Computer Interaction and Augmented Reality research domains. Publication productivity, citation visibility, and interdisciplinary engagement collectively contribute to measurable academic influence within immersive technology research ecosystems. The documented research contributions and alignment with innovation-focused scientific initiatives support suitability for recognition within the Global Tech Excellence Awards framework.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Rajesh Kumar Srivastava, Author ID 56655216000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56655216000
  2. Global Tech Excellence Awards. (n.d.). Official Awards and Recognition Platform.
    https://globaltechexcellence.com/

Meshari Alsafran | Augmented Reality (AR) and Virtual Reality (VR) | Excellence in Research

Published on by Computer Vision Awards

Dr. Meshari Alsafran | Augmented Reality (AR) and Virtual Reality (VR) | Excellence in Research

The Public Authority For Applied Education & Traning, College Of Technological Studies | Kuwait

Dr. Meshari Abdulhameed Al-Safran is a researcher in Innovation and Technology Management at Arabian Gulf University, with expertise in artificial intelligence, digital transformation, and public sector innovation. He has authored and co-authored over 5 scholarly works, including journal articles, book chapters, and conference papers, with more than 20 citations and an h-index of 2. His research addresses AI applications in cybersecurity, smart education, and governance models. He collaborates with leading academics across regional institutions and contributes to advancing digital transformation and innovation practices, supporting sustainable development and public-sector modernization in Kuwait and the broader Gulf region.

Citation Metrics (Scopus)

30

20

10

0

Citations
20

Documents
5

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
           View ORCID Profile
        View Google Scholar Profile

Featured Publications


Artificial intelligence and cybersecurity within a social media context: Implications and insights for Kuwait.

– Journal of Science and Technology Policy Management. (2024). Cited By; 17

Open innovation and governance models in public sector: A systematic literature review.

– In A. Hamdan & E. S. Aldhaen (Eds.), Artificial intelligence and transforming digital marketing (pp. 437–451). (2023). Cited By: 7

Incorporating artificial intelligence and blockchain to empower cybersecurity applications: Challenges and solutions.

– In Integrating artificial intelligence, security for environmental and business sustainability (Vol. 2). (2025). Cited By: 1

AI-driven smart classroom innovation and creative thinking skills: Review of implementing STEM programme.

– In International Conference on Smart Management and Innovation for Sustainable Development. (2025).  Cited By: 1

ShihJung Juan | Human Computer Interaction and Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Dr. ShihJung Juan | Human Computer Interaction and Augmented Reality | Best Researcher Award

Post Doctoral Researcher | National Taichung University of Science and Technology | Taiwan

Dr. Shihjung Juan is a dedicated researcher at the National Taichung University of Science and Technology, Taiwan, recognized for his scholarly contributions in the fields of knowledge management, tacit knowledge acquisition, and organizational learning behaviors. With a research portfolio comprising 8 peer-reviewed publications, 114 citations, and an h-index of 2, his work reflects a steadily growing influence within the global academic community. His studies frequently examine how individuals and organizations acquire share and utilize knowledge to enhance performance improve innovation capacity and foster sustainable competitive advantages in dynamic environments.A notable highlight of his academic contribution is his research on tacit knowledge acquisition and absorptive capability providing key insights into how knowledge seekers internalize experiential insights and convert them into higher work effectiveness. This line of inquiry contributes to the broader discourse on human resource development organizational capability building and the strategic role of knowledge in modern enterprises. His publications demonstrate methodological rigor with conceptual clarity and empirical depth that position his research as a valuable reference in management and organizational studies.Dr. Juan has collaborated with researchers across interdisciplinary domains strengthening research networks and helping advance collaborative learning and knowledge-sharing ecosystems. His co-authorship with scholars from diverse backgrounds reflects an openness to integrating multi-perspective approaches supporting both theoretical advancements and practical implications for businesses educational institutions and public sector organizations.Beyond academic publishing the societal relevance of his research lies in its potential to guide organizations in enhancing employee performance building adaptive cultures and navigating knowledge-driven challenges in the digital age. By focusing on how individuals develop absorptive capacity his work informs strategies for upskilling innovation management and cultivating learning-oriented workplaces.Overall Dr. Shihjung Juan’s scholarly trajectory showcases a commitment to advancing knowledge management research while contributing meaningful insights to support organizational growth human development and evidence-based managerial practices worldwide.

Profile:  Scopus

Featured Publications

1. Juan, S. (2025). The impact of tacit knowledge acquisition and absorptive capability on individual performance: From the knowledge seeker’s perspective. Journal of Knowledge Management.

Dr. Shihjung Juan’s work advances global knowledge management practices by revealing how tacit knowledge and absorptive capability enhance individual performance and organizational adaptability. His insights support evidence-based strategies that strengthen innovation, workforce development, and sustainable competitiveness across education, industry, and knowledge-driven societies.

Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

Published on by Computer Vision Awards

Prof. Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

Associate Professor at Inha University, South Korea

Prof. Jong-Hyun Kim is an Associate Professor at the College of Software and Convergence, Department of Artificial Intelligence, Design Technology at Inha University, with a joint appointment at the Graduate School of Electrical and Computer Engineering. He is a distinguished researcher with expertise spanning computer graphics, visual effects, physically based simulation, physics engines, artificial intelligence, VR/AR, geometry processing, and GPU optimization. His career bridges academia and industry, having led and participated in numerous national research projects and industry collaborations in areas such as digital twin technology, immersive simulation systems, and AI convergence. With an impressive record of award-winning publications in reputed conferences and journals indexed in IEEE and Scopus, he has contributed significantly to advancing emerging technologies. His leadership in collaborative initiatives and dedication to innovative research continue to strengthen his impact on both scientific communities and practical applications.

Professional Profile 

ORCID Profile

Education

Prof. Jong-Hyun Kim completed his Ph.D. in Computer Science and Engineering from Korea University, following his master’s degree and bachelor’s degree in the same field from Korea University and Sejong University, respectively. His academic journey reflects a strong foundation in both theoretical and applied aspects of computer science, equipping him with advanced skills in simulation, visualization, and artificial intelligence. His studies covered a broad spectrum of technical disciplines, from physics-based modeling and geometry processing to interactive graphics and human-computer interaction. The rigorous academic training at prestigious institutions provided him with the expertise to excel in interdisciplinary research and to address complex computational challenges. This solid educational background has enabled him to integrate advanced computing techniques with creative technological solutions, laying the groundwork for his influential research contributions in academia and his ability to collaborate effectively with industry partners on innovative projects.

Professional Experience

Prof. Jong-Hyun Kim currently serves as an Associate Professor at Inha University, having previously held the same position at Kangnam University. He has also served as a lecturer and teaching fellow at Korea University, contributing to the development of academic programs and mentoring students in advanced computing topics. Before his academic career, he worked extensively in the industry as a senior research engineer and research engineer at multiple companies, gaining hands-on experience in simulation technologies, visual effects, and interactive systems. His professional trajectory reflects a balance between academic scholarship and practical application, with roles that involved designing innovative solutions, leading research teams, and collaborating on both government-funded and industry-driven projects. His combined academic and industrial experience has strengthened his expertise in bridging theoretical research with real-world implementation, enhancing his ability to deliver impactful outcomes in both educational and technological domains.

Research Interest

Prof. Jong-Hyun Kim’s research interests cover a broad and interdisciplinary range of topics, including computer graphics, visual effects, physically based simulation, physics engines, and game physics. He actively explores artificial intelligence techniques for scientific visualization, geometry processing, image processing, and immersive VR/AR experiences. His work often focuses on GPU optimization to achieve real-time performance in complex simulations, enabling practical applications in gaming, virtual reality, and industrial simulations. Additionally, he is interested in human-computer interaction, particularly in developing intuitive interfaces for creative expression and realistic virtual environments. His projects integrate physics-based modeling with AI-driven approaches to address challenges in simulation accuracy, interactivity, and scalability. By combining deep technical expertise with creativity, his research aims to advance the capabilities of simulation and visualization technologies, making them more efficient, accessible, and adaptable for diverse fields ranging from entertainment and education to engineering and healthcare.

Award and Honor

Prof. Jong-Hyun Kim has received numerous awards and honors recognizing his excellence in research, innovation, and academic contributions. His accolades include multiple Best Paper Awards from prestigious conferences such as those organized by the Korea Society of Computer and Information and the Korean Association of Data Science, acknowledging his groundbreaking work in simulations, VR frameworks, AI-driven modeling, and GPU optimization. He has been honored by the Ministry of Science and ICT and the Korean Ministry of Education for his creative and impactful research ideas. His achievements extend beyond academia, with awards recognizing his leadership in industry-academic cooperation and excellence in teaching. These recognitions reflect his sustained contributions to advancing cutting-edge technologies, fostering collaboration between academia and industry, and mentoring future innovators. His consistent recognition at national and professional levels underscores his influence in both research and education, and his ongoing commitment to delivering impactful technological advancements.

Research Skill

Prof. Jong-Hyun Kim possesses advanced research skills in multiple technical domains, including physically based simulation, visual effects, GPU optimization, and complex animation systems. He is proficient in designing real-time interactive environments, implementing physics engines, and integrating artificial intelligence into simulation and visualization frameworks. His expertise includes scientific visualization, geometry processing, VR/AR development, and image processing, enabling him to create innovative solutions that merge creativity with computational precision. He has extensive experience managing large-scale research projects funded by national agencies and industry partners, demonstrating strong project management, team leadership, and cross-disciplinary collaboration skills. His technical abilities are complemented by his capacity to translate theoretical models into practical applications across entertainment, engineering, and scientific research. By combining analytical thinking, problem-solving, and creative design, he continues to push the boundaries of simulation and visualization technologies, contributing significantly to both academic advancements and industry innovation.

Publications Top Notes

Title: A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles
Authors: Jong-Hyun Kim
Year: 2025

Title: Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling
Authors: Jong-Hyun Kim
Year: 2025

Title: Neural Network-Based Projective Grid Model for Learning Representation of Surface and Wave Foams
Authors: Jong-Hyun Kim
Year: 2025

Title: Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: A 3D Visual Tool for Analyzing Changes in Hair Volume and Length Caused by Medications
Authors: Jong‐Hyun Kim; Jung Lee; Seungbin Kwon; Minji Jo; Yunjin Hwang; In‐Sook An
Year: 2025

Title: Numerical Dispersed Flow Simulation of Fire-Flake Particle Dynamics and Its Learning Representation
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Unified GPU Framework for Simulating Wave Turbulence, Diffusion, and Wrinkling in Fluid-Cloth Interaction
Authors: Eun Su Park; Juyong Lee; In Kyu Park; Jong-Hyun Kim
Year: 2025

Title: Scalable and Rapid Nearest Neighbor Particle Search Using Adaptive Disk Sector
Authors: Jong-Hyun Kim; Shaofeng Xu; Jung Lee
Year: 2025

Title: Depth-of-Field Region Detection and Recognition From a Single Image Using Adaptively Sampled Learning Representation
Authors: Jong-Hyun Kim; Youngbin Kim
Year: 2024

Title: Motion Generation and Analyzing the User’s Arm Muscles via Leap Motion and Its Data-Driven Representations
Authors: Jong-Hyun Kim; Jung Lee; Youngbin Kim
Year: 2024

Title: Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method
Authors: Jong-Hyun Kim
Year: 2024

Title: Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation
Authors: Jun Yeong Kim; Chang Geun Song; Jung Lee; Jong-Hyun Kim; Jong Wan Lee; Sun-Jeong Kim
Year: 2024

Title: Efficient and Stable Generation of High-Resolution Hair and Fur With ConvNet Using Adaptive Strand Geometry Images
Authors: Jong-Hyun Kim; Jung Lee
Year: 2023

Conclusion

Prof. Jong-Hyun Kim is highly deserving of the Best Researcher Award for his outstanding contributions to cutting-edge research in computer graphics, AI-driven simulation, and immersive technologies, as well as his significant role in bridging academia and industry through impactful collaborative projects. His innovative work has advanced both scientific understanding and practical applications, benefiting diverse sectors and inspiring the next generation of researchers. With a proven track record of excellence, leadership, and innovation, he holds strong potential to make even greater contributions to research and society in the future.

Xueyan Dong | Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Xueyan Dong | Augmented Reality | Best Researcher Award

Associate professor at Northwestern Polytechnical University, China

Assist. Prof. Xueyan Dong is a distinguished academic and researcher at the School of Management, Northwestern Polytechnical University. Her expertise lies in information technology management and strategic management, with a strong emphasis on IT usage behavior across multiple levels, including individual, team, and societal contexts. She has contributed significantly to understanding the digital transformation of enterprises and the impact of social media and social commerce. With extensive experience leading national and provincial research projects, she has published in high-impact journals and participated in major international conferences. Her work has been recognized through various awards for outstanding research contributions. In addition to her scholarly output, she actively engages in academic service, including peer review and evaluation roles. Her dedication to research excellence, leadership in academic projects, and contributions to both theory and practice position her as a key figure in her field with strong potential for continued impact and academic leadership.

Professional Profile 

Scopus Profile 

Education

Xueyan Dong completed her doctoral studies in Management at Harbin Institute of Technology, where she developed a strong foundation in strategic management and information systems. Her academic journey was further enriched through a joint doctoral research program at the University of British Columbia, supported by the China Scholarship Council. During her studies, she focused on the micro-level theoretical development of IT usage behavior, setting the groundwork for her future academic research. Her educational experience combined rigorous training in both quantitative and qualitative research methodologies, equipping her with the analytical skills necessary for high-level academic work. Her exposure to diverse academic environments and cross-cultural research perspectives helped her develop a broader understanding of global management practices and digital transformation challenges. Her formal education has been instrumental in shaping her ability to lead multidisciplinary research, contribute to curriculum development, and mentor graduate students in the evolving fields of digital technology and strategic enterprise management.

Professional Experience

Assist. Prof. Xueyan Dong currently serves as an associate professor and doctoral supervisor in the Department of Marketing at the School of Management, Northwestern Polytechnical University. Over the course of her academic career, she has successfully led and participated in multiple research projects funded by national foundations, ministries, and provincial governments. Her responsibilities include conducting advanced research in IT and strategic management, mentoring postgraduate students, and designing graduate-level courses. She has taken on critical roles in university-level education reform initiatives and industry-academic collaboration projects, bridging theoretical research with practical application. In addition to her teaching and research duties, she contributes to administrative and academic development tasks, including curriculum enhancement and academic evaluation processes. Her professional experience also extends to editorial and peer review work for leading academic journals and conferences, demonstrating her influence and recognition within the academic community. Her multidisciplinary involvement highlights her capacity for leadership and academic service excellence.

Research Interest

Xueyan Dong’s research interests center around information technology management, strategic management, and the behavioral aspects of digital technology usage. She is particularly focused on understanding how individuals, teams, and organizations adopt and utilize IT tools, platforms, and systems in a constantly evolving digital environment. Her work explores key themes such as social media usage, social commerce dynamics, and the broader implications of digital transformation on business operations and strategy. She is also interested in the interaction between technological innovation and organizational behavior, especially in the context of strategic decision-making and performance outcomes. Her research bridges micro-level behavior with macro-level strategic implications, creating a comprehensive framework for understanding digital enterprise transformation. Through empirical studies and theoretical modeling, she aims to provide insights that are both academically rigorous and practically relevant. Her interdisciplinary approach allows her to collaborate with scholars across domains and contribute to the growing body of knowledge in management and information systems.

Award and Honor

Assist. Prof. Xueyan Dong has received numerous awards and honors in recognition of her academic excellence and research contributions. Her achievements include a highly cited paper and multiple awards for outstanding research in social sciences at both the provincial and university levels. She has also received best paper awards at international conferences, reflecting the high quality and impact of her scholarly work. In addition to these accolades, she has been selected as a peer review expert for national research funding agencies and serves as an evaluator for the selection of top management case studies in China. These roles not only highlight her academic credibility but also her contribution to the development of research standards and quality in the broader scholarly community. Her ability to consistently produce impactful research and her involvement in academic evaluation and peer review make her a respected figure in her field. These honors reinforce her position as a leading researcher in management studies.

Research Skill

Xueyan Dong possesses a broad range of research skills that support her work in information technology and strategic management. She is proficient in both quantitative and qualitative research methodologies, including statistical analysis, structural equation modeling, survey design, and case study methods. Her ability to conduct cross-level behavioral research allows her to examine IT usage from individual to organizational scales. She is skilled in applying theoretical frameworks to real-world business problems and translating research findings into strategic recommendations. Her experience in managing large-scale national and provincial projects has equipped her with project design, data collection, and interdisciplinary collaboration skills. She also demonstrates strong academic writing and publication abilities, with success in placing research in top-tier international journals. In addition, her experience in peer reviewing and evaluating research proposals further reflects her expertise in assessing academic quality. Her well-rounded skill set enables her to lead complex research initiatives and contribute meaningfully to the academic community.

Publications Top Notes

Title: Risky roads: Unraveling used electronic vehicle resistance from the Perspective of social amplification of risk theory

Authors: (Author names not specified in your input — please provide them for completeness)

Year: 2025

Journal: Transportation Research Part F: Traffic Psychology and Behaviour

Conclusion

Assist. Prof. Xueyan Dong is highly deserving of the Best Researcher Award due to her significant contributions to the fields of information technology management and strategic management, particularly in the areas of digital transformation and IT usage behavior. Her strong research output, leadership in national and provincial projects, and recognition through high-impact publications and academic awards demonstrate a consistent commitment to advancing knowledge and societal progress. With her growing influence in academic circles, active involvement in peer review and case evaluation, and a clear vision for impactful research, she shows strong potential for future leadership and continued contributions to both academia and the broader community.

Assoc Prof Dr. Farhana Sarker | Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Assoc Prof Dr. Farhana Sarker | Augmented Reality | Best Researcher Award

Independent University, Bangladesh

👨‍🎓 Profiles

Scopus

Google Scholar

Publications

Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

  • Author: Ishtiaque, Farhan F.; Miya, Mohammad Tohidul Islam M.T.I.; Mashrur, Fazla Rabbi F.R.; Abdul Hamid, Abu Bakar A.B.; Al Mamun, Khandakar Abdulla K.A.
  • Journal: Multimedia Tools and Applications
  • Year: 2025

Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
  • Journal: Applied Intelligence
  • Year: 2025

An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals

  • Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
  • Journal: Physiology & behavior
  • Year: 2022

BCI-based Consumers’ choice prediction from EEG signals: an intelligent Neuromarketing framework

  • Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
  • Journal: Frontiers in human neuroscience
  • Year: 2022

Factors associated with low medication adherence in patients with Type 2 diabetes mellitus attending a tertiary hospital in Bangladesh

  • Author: Sheikh Mohammed Shariful Islam, Md Tauhidul Islam, Riaz Uddin, Tania Tansi, Shamim Talukder, Farhana Sarker, Khondaker Abdullah Al Mamun, Sasan Adibi, Lal B Rawal
  • Journal: Lifestyle Medicine
  • Year: 2021

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Published on by Computer Vision Awards

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Doctorate at Xinyu University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
    Journal: Technological Forecasting and Social Change
    Year: 2025

Personalized emotion analysis based on fuzzy multi-modal transformer model

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: Applied Intelligence
    Year: 2025

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: IEEE Access
    Year: 2024

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
    Journal: Expert Systems with Applications
    Year: 2023

Performance Evaluation of HMI based on AHP and GRT for GUI

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
    Journal: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
    Year: 2022

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Doctorate at University of Sharjah, United Arab Emirates

👨‍🎓 Profiles

Scopus

Orcid

Publications

A Vision Language Correlation Framework for Screening Disabled Retina

  • Authors: Hassan, T., Raja, H., Belwafi, K., Yousaf, J., Ghazal, M.
  • Journal: IEEE Journal of Biomedical and Health Informatics
  • Year: 2024

Neurological Disorder Diagnosis through Deep Residual Network-based EEG Signal Analysis

  • Authors: Jridi, A., Djemal, R., Belwafi, K.
  • Journal: 7th IEEE International Conference on Advanced Technologies, Signal and Image Processing, ATSIP
  • Year: 2024

Enhancing Circuit Authentication through Secure Isolation

  • Authors: Belwafi, K., Alshamsi, H., Ahmed, A., Shoufan, A.
  • Journal: Proceedings – IEEE International Symposium on Circuits and Systems
  • Year: 2024

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

  • Authors: Gannouni, S., Belwafi, K., Aledaily, A., Aboalsamh, H., Belghith, A.
  • Journal: Sensors
  • Year: 2023

Light-Weight Security Protocol and Data Model for Chip-to-Chip Zero-Trust

  • Authors: Ahmed, A., Shoufan, A., Belwafi, K.
  • Journal: IEEE Access
  • Year: 2023