Biplob Ray | Environmental and farming | Best Researcher Award

Assoc Prof Dr. Biplob Ray l Environmental and farmingย | Best Researcher Award

Central Queensland University, Australia

Author Profile

Scopus

Orcid

๐Ÿ“˜ Dr. Biplob Ray โ€“ A Visionary in AI & IoE for Smart Farming

๐ŸŽ“ Early Academic Pursuits

Dr. Biplob Ray embarked on his academic journey with a Bachelor of Science in Computer Engineering from AMA Computer University, Philippines. His passion for computing and technology led him to Australia, where he pursued a Master of Information Technology at Federation University and later a Ph.D. in Information Technology from Deakin University. His doctoral research laid a strong foundation for his expertise in Artificial Intelligence (AI), the Internet of Everything (IoE), and signal processing, setting the stage for his future groundbreaking contributions to academia and industry.

๐Ÿ’ผ Professional Endeavors

Dr. Ray’s professional journey is marked by a blend of academic excellence and industry experience. Currently, he serves as an Associate Professor and Discipline & Research Cluster Lead for Emerging Technologies at CQUniversity (CQU), Melbourne. His previous roles include Senior Lecturer, Lecturer, and Lab Manager at various esteemed institutions, including Holmes Institute, Melbourne Institute of Technology, and Deakin University. Additionally, he worked as an Analyst Programmer at Telstra, showcasing his ability to merge theoretical knowledge with real-world applications.

๐Ÿ”ฌ Contributions and Research Focus

With a strong inclination towards multidisciplinary research, Dr. Ray has made significant contributions to AI-driven solutions for precision agriculture, UAV-based environmental monitoring, and smart IoT applications. His research projects have focused on autonomous drones, intelligent signal processing, and secure connectivity for smart farming and environmental sustainability. Notably, he has led and contributed to pioneering projects such as:

  • AI-Enabled Secure Signal Processing & Connectivity for Autonomous Sensors (CSIRO NextGen program)
  • AI-driven Internet of Drones for Targeted Weed Spraying (Emerging Aviation Technology Partnerships Program)
  • Seagrass Enhancement via Aerial Drones (SEAD) (Australian Ethical Foundation)

๐ŸŒ Impact and Influence

Dr. Rayโ€™s work has attracted substantial research funding, amounting to over $2.5 million from Australian federal agencies and industry partners. His leadership in high-impact research initiatives has resulted in innovative solutions that are transforming agriculture, environmental sustainability, and UAV-based monitoring systems. His projects foster interdisciplinary collaborations between academia, industry, and international research entities, amplifying the reach and applicability of his research.

๐Ÿ“‘ Academic Citations and Publications

An accomplished researcher, Dr. Ray has authored over 75 research articles, published in high-impact journals and conferences. His work is widely recognized and cited by peers, reflecting his strong contribution to AI, IoT, and smart sensing technologies. His publications serve as key references in precision agriculture, secure AI-driven connectivity, and autonomous drone technology, influencing future research in these domains.

๐Ÿ’ป Technical Skills

Dr. Ray possesses expertise in a wide range of technological domains, including:
โœ”๏ธ Artificial Intelligence & Machine Learning
โœ”๏ธ Internet of Things (IoT) & Edge Computing
โœ”๏ธ Autonomous Drone Systems
โœ”๏ธ Embedded Systems & Sensor Networks
โœ”๏ธ Cybersecurity for AI-driven Networks
โœ”๏ธ Big Data Analytics & Signal Processing

๐ŸŽ“ Teaching and Mentorship Experience

As a dedicated academic, Dr. Ray has been instrumental in shaping the next generation of AI and IoT researchers. He has supervised numerous postgraduate students and played a key role in curriculum development at CQUniversity, ensuring students gain hands-on experience with emerging technologies. His mentorship extends beyond academics, fostering industry collaborations and innovative research initiatives.

๐Ÿš€ Legacy and Future Contributions

Dr. Ray envisions a future where AI and IoT revolutionize sustainable agriculture, environmental conservation, and smart infrastructure. His ongoing research aims to:
๐Ÿ“Œ Develop secure, AI-driven connectivity for precision farming
๐Ÿ“Œ Enhance autonomous drone applications for environmental monitoring
๐Ÿ“Œ Advance AI-powered predictive analytics for smart agriculture
๐Ÿ“Œ Strengthen industry-academia partnerships for real-world AI implementations

Through his visionary research, impactful teaching, and transformative projects, Dr. Biplob Ray continues to influence the technological landscape, driving AI and IoT innovations for a smarter, more connected world. ๐ŸŒ๐Ÿš€

๐Ÿ“– Top Noted Publications

AI-based seagrass morphology measurement
    • Authors: Halder, S., Islam, N., Ray, B., Hettiarachchi, P., Jackson, E.
    • Journal: Journal of Environmental Management
    • Year: 2024
A comprehensive framework for effective long-short term solar yield forecasting
    • Authors: Ray, B., Lasantha, D., Beeravalli, V., Rashid, F., Muyeen, S.M.
    • Journal: Energy Conversion and Management: X
    • Year: 2024
Battery Health Estimation Based on Multidomain Transfer Learning
    • Authors: Sheng, H., Ray, B., Kayamboo, S., Xu, X., Wang, S.
    • Journal: IEEE Transactions on Power Electronics
    • Year: 2024
Blockchain-based secure Ownership Transfer Protocol for smart objects in the Internet of Things
    • Authors: Kiran, M., Ray, B., Hassan, J., Kashyap, A., Chandrappa, V.Y.
    • Journal: Internet of Things (Netherlands)
    • Year: 2024
RFID localization in construction with IoT and security integration
    • Authors: Khan, S.I., Ray, B.R., Karmakar, N.C.
    • Journal: Automation in Construction
    • Year: 2024

Rajib Baran Roy | Energy and Utilities Analytics | Best Researcher Award

Mr. Rajib Baran Roy l Energy and Utilities Analyticsย | Best Researcher Award

Central Queensland University, Australia

Author Profile

Scopus

Orcid

Google Scholar

๐ŸŽ“ Early Academic Pursuits

Mr. Rajib Baran Roy is a dedicated researcher in Electrical Engineering, currently pursuing a Doctor of Philosophy (PhD) at Central Queensland University, Australia. His research focuses on Grid Impacts of Fast Charging Electric Ferries, reflecting his commitment to sustainable energy solutions and smart grid integration. His academic journey has been marked by technical excellence and interdisciplinary innovation, positioning him as a promising researcher in the field of renewable energy and power systems.

๐Ÿ‘จโ€๐Ÿ’ป Professional Endeavors

Beyond academia, Mr. Roy has actively contributed to engineering projects and feasibility studies, particularly in the assessment of shore power solutions in ports, including the Gladstone Port Authority project. His involvement in industry collaborations and government-funded research initiatives highlights his ability to bridge the gap between theoretical research and practical applications in electrical power systems.

๐Ÿ”ฌ Contributions and Research Focus On Energy and Utilities Analytics

Mr. Roy’s research delves into power grid stability, electric ferry charging infrastructure, renewable energy integration, and energy management systems. His expertise extends to power system modeling, optimization techniques, and smart grid applications. By addressing the challenges of fast-charging electric ferries on power grids, he is contributing to the development of more resilient and efficient energy networks for the future of sustainable transportation.

๐ŸŒ Impact and Influence

As a published researcher with significant contributions in electrical engineering and energy systems, Mr. Royโ€™s work has influenced sustainable energy policies and grid modernization efforts. His preliminary feasibility assessments in shore power for ports reflect his commitment to practical, real-world applications of energy research. His contributions support global efforts in reducing carbon emissions and enhancing maritime energy efficiency.

๐Ÿ“Š Academic Citations and Recognitions

Mr. Roy’s research has been widely cited, demonstrating its impact in the field of power engineering and renewable energy systems:

  • Google Scholar: 349 citations, h-index: 12, i10-index: 14
  • Scopus: 100 citations, h-index: 5

His research has been supported by prestigious grants, including:

  • Ministry of Higher Education, Malaysia (MoHE) Research Grant
  • University Grant Commission (UGC) Research Fund, Bangladesh

These grants have enabled him to conduct groundbreaking studies in energy systems and power grid stability.

๐Ÿ’ป Technical Skills and Expertise

Mr. Roy possesses a strong command of power system modeling, simulation, and data analysis, with proficiency in:

  • Programming Languages: Python, C++, MATLAB, Simulink
  • Power System Simulation Tools: DIgSILENT PowerFactory, OpenDSS, PSCAD, PowerWorld Simulator
  • Renewable Energy & Electrical Software: HOMER, RETScreen, LEAP, Electronics Workbench, PSpice, Proteus
  • Microsoft Office Suite for research documentation and analysis

His expertise in electrical simulations and grid impact assessments has positioned him as a highly skilled professional in energy systems research.

๐Ÿ… Teaching and Professional Memberships

As an active contributor to the academic and professional engineering community, Mr. Roy is a member of:

  • IEB (Institute of Engineers, Bangladesh)
  • IEEE (Institute of Electrical and Electronics Engineers)

His involvement in these organizations allows him to collaborate with industry experts, share knowledge, and mentor emerging engineers and researchers.

๐Ÿ”ฎ Legacy and Future Contributions

Mr. Roy’s contributions to power grid analysis, renewable energy solutions, and sustainable transportation electrification have established him as an influential researcher in modern energy systems. Looking ahead, he aims to:

  • Advance research in smart grid technologies and electric vehicle infrastructure
  • Develop energy-efficient solutions for maritime and port electrification
  • Continue mentoring and collaborating with researchers in the fields of power systems, renewable energy, and grid resilience

His technical expertise, research impact, and commitment to innovation ensure that he will continue shaping the future of sustainable energy and power systems engineering.

๐Ÿ“– Top Noted Publications

Impact analysis of uncoordinated electric ferry charging on distribution network
    • Authors: Roy, R.B., Alahakoon, S., Van Rensburg, P.J., Arachchillage, S.J.
    • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    • Year: 2024
Impact analysis on distribution network due to coordinated electric ferry charging
    • Authors: Roy, R.B., Alahakoon, S., Rensburg, P.J.V., Arachchillage, S.J.
    • Journal: IET Energy Systems Integration
    • Year: 2024
Optimal Capacities of Electric Ferry Charging Stations by Hybrid Metaheuristic Algorithm
    • Authors: Roy, R.B., Alahakoon, S., Rensburg, P.J.V.
    • Journal: 2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024
    • Year: 2024
Optimizing dynamic electric ferry loads with intelligent power management
    • Authors: Roy, R.B., Alahakoon, S., Arachchillage, S.J., Rahman, S.
    • Journal: Energy Reports
    • Year: 2023
Optimizing Load Frequency Control in Standalone Marine Microgrids Using Meta-Heuristic Techniques
    • Authors: Alahakoon, S., Roy, R.B., Arachchillage, S.J.
    • Journal: Energies
    • Year: 2023

JungWei Chen | Algorithm Development | Best Researcher Award

Dr. JungWei Chen l Bioinformaticsย | Best Researcher Award

Loma Linda University, United States

Author Profile

Scopus

Google Scholar

๐Ÿ›๏ธ Early Academic Pursuits

Dr. Jung-Wei Chenโ€™s academic journey began at the School of Dentistry, Taipei Medical College, in Taiwan, where she earned her Doctor of Dental Surgery (DDS) degree in 1996. She then pursued specialized training in Pediatric Dentistry at the University of Maryland at Baltimore, completing a Master of Science (MS) in Oral Biology along with a two-year pediatric dentistry residency program. Recognizing the growing role of technology in healthcare, she furthered her education in Health Informatics, obtaining both a Master of Science (2002) and a Doctor of Philosophy (2007) from the University of Texas at Houston, School of Health Information Science.

๐Ÿ‘ฉโ€โš•๏ธ Professional Endeavors

Dr. Chen has built an esteemed career in pediatric dentistry education and leadership. She has been a part of the Loma Linda University School of Dentistry since 2008, where she has held various positions, including Program Director and Chair of the Advanced Specialty Education Program in Pediatric Dentistry. She has also served as a faculty member at the University of Texas Dental Branch at Houston, holding positions from Clinical Assistant Professor to Interim Program Director. Throughout her career, Dr. Chen has been committed to advancing pediatric dental education and training future specialists.

๐Ÿ“š Contributions and Research Focus On Bioinformatics

Dr. Chenโ€™s research spans across pediatric dentistry, health informatics, and dental education. Her expertise in digital health solutions has contributed to improving pediatric oral healthcare through informatics-driven methodologies. Her research interests include dental caries prevention, oral health disparities, electronic health records (EHR) in dentistry, and the application of artificial intelligence in dental diagnostics. She has also contributed significantly to the development of interdisciplinary approaches integrating technology and pediatric dentistry.

๐ŸŒŽ Impact and Influence

Dr. Chenโ€™s influence extends beyond academia. Her role in mentoring pediatric dental residents has shaped the next generation of specialists, instilling in them a passion for both clinical excellence and research innovation. She has actively contributed to professional organizations, participated in national health initiatives, and played a role in shaping policies on pediatric dental care. Her leadership at Loma Linda University has strengthened the institutionโ€™s standing as a leader in pediatric dental education.

๐Ÿ… Academic Citations and Recognitions

As a respected researcher and educator, Dr. Chen has numerous academic citations in high-impact journals related to pediatric dentistry and health informatics. She has received prestigious fellowships, including the National Library of Medicine Fellowship and the National Institutes of Health Traineeship (UT-TORCH), reflecting her contributions to biomedical research and informatics.

๐Ÿ–ฅ๏ธ Technical Skills and Innovations

Dr. Chenโ€™s expertise includes electronic health records (EHR) integration in pediatric dentistry, data analytics for oral health research, AI applications in diagnostics, and dental informatics. Her background in health informatics enables her to bridge the gap between technology and clinical practice, improving treatment outcomes and patient management systems.

๐ŸŽ“ Teaching Experience and Mentorship

As a full-time professor, Dr. Chen has been instrumental in designing curricula, supervising research, and leading residency training. Her mentorship has guided numerous students and young faculty members toward clinical and academic success. Under her leadership, the Advanced Specialty Education Program in Pediatric Dentistry at Loma Linda University has gained recognition for its excellence in training and research.

๐Ÿ”ฎ Legacy and Future Contributions

Dr. Chenโ€™s legacy in pediatric dentistry, health informatics, and academic leadership is firmly established. Moving forward, she aims to expand the integration of AI in dental education, enhance research on pediatric oral health disparities, and continue mentoring future specialists. Her dedication to innovation, education, and patient-centered care ensures a lasting impact on the field of pediatric dentistry.

๐Ÿ“– Top Noted Publications

Teledentistry for Pediatric Dental Emergency: Comparison Between Experienced and Novice Users
    • Authors: Huang, C.-C., Chen, J.-W.
    • Journal: Bioengineering
    • Year: 2024
Principles and care pathways for caries management in children: IAPD Rome forum
    • Authors: Tinanoff, N., Banerjee, A., Buzalaf, M.A.R., Twetman, S., Vargas, K.
    • Journal: International Journal of Paediatric Dentistry
    • Year: 2024
Incisor liability and its effects among East Asian children
    • Authors: Sun, K.-T., Huang, Y.-H., Hsu, J.-T., Tsai, M.-C., Chen, J.-W.
    • Journal: Journal of the Formosan Medical Association
    • Year: 2022
Comparison of Different Clinical Decision Support Tools in Aiding Dental and Medical Professionals in Managing Primary Dentition Traumatic Injuries
    • Authors: Huh, A.J.H., Chen, J.-W., Bakland, L., Goodacre, C.
    • Journal: Pediatric Emergency Care
    • Year: 2022
Using the Timmer Scale to Standardize Pediatric Dentistry Residents’ Scientific Appraisal Skills
    • Authors: Omar, S., Bauer, J., Matin, A., Chen, J.-W., Ocampo, M.
    • Journal: MedEdPORTAL: The Journal of Teaching and Learning Resources
    • Year: 2021
An Investigation of the Long and Short Term Behavioral Effects of General Anesthesia on Pediatric Dental Patients With Autism
    • Authors: Tran, J., Chen, J.-W., Trapp, L., McCormack, L.
    • Journal: Frontiers in Oral Health
    • Year: 2021

Lewis Njualem | Blockchain | Best Researcher Award

Dr. Lewis Njualem l Blockchainย | Best Researcher Award

California State University San Bernardino, United States

Author Profile

Orcid

Google Scholar

DR. LEWIS A. NJUALEM: PIONEER IN SUPPLY CHAIN INNOVATION ๐ŸŒ๐Ÿ“Š

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Lewis A. Njualem embarked on an illustrious academic journey, earning a Ph.D. in Systems & Engineering Management from Texas Tech University in 2018. His dissertation, under the guidance of Dr. Milton Smith, explored the transformative effects of enterprise resource planning (ERP) systems on direct procurement in asset-intensive industries. Earlier, he obtained an MBA in Operations & Supply Chain Management from the University of Houston-Victoria and a Bachelor of Science in Computer Science with a focus on Information Systems. His academic foundation began with an Associate in Science from Houston Community College.

PROFESSIONAL ENDEAVORS & INDUSTRY EXPERIENCE ๐Ÿ’ผ

With over 21 years of professional experience across industries such as mining, aerospace, energy, and telecommunications, Dr. Njualem is a recognized expert in ERP systems, specifically SAP MM, PP, PM, and PS modules. His work includes leading projects for companies like Rio Tinto, Glencore, and Caterpillar, where he implemented cutting-edge supply chain solutions. Notably, he served as a Lead Architect for New Gold Inc., managing SAP operations for globally operating mine sites.

His certifications as a SAP Certified Application Associate and APICS Certified Supply Chain Professional further validate his technical expertise and commitment to operational excellence.

CONTRIBUTIONS TO RESEARCH & ACADEMIA ๐Ÿ“š

Dr. Njualemโ€™s research focuses on supply chain sustainability, blockchain technology applications, and ERP usability improvements. His working paper on integrating blockchain with ERP systems highlights innovative solutions for enhancing transparency, traceability, and security in enterprise engineering change management.

As an Assistant Professor at California State University, San Bernardino, he develops and teaches courses in supply chain management, business analytics, and enterprise systems. His dedication extends to mentoring students, participating in the NSF STEM initiative, and actively contributing to departmental and university committees.

IMPACT AND INFLUENCE ๐ŸŒŸ

Dr. Njualemโ€™s influence extends beyond academia to the global supply chain industry. He has been recognized for his excellent oral presentation at the 2021 IEEE 8th International Conference on Industrial Engineering and Applications. As a reviewer for the International Journal of Supply and Operations Management, he continues to shape the field’s discourse.

His roles as SAP Faculty Director and disciplinary lead in STEM learning underscore his commitment to fostering innovation and knowledge dissemination in his field.

ACADEMIC CITES & TEACHING EXCELLENCE ๐ŸŽ“

Dr. Njualem has designed and taught numerous courses, including Advanced Enterprise Resource Planning, Applied Business Statistics, and Managing the Supply Chain. He is also celebrated for mentoring students toward SAP TERP 10 certifications and for integrating experiential learning into his teaching approach.

LEGACY AND FUTURE CONTRIBUTIONS ๐ŸŒ

With a career spanning academia and industry, Dr. Njualemโ€™s legacy is defined by his transformative contributions to ERP systems, supply chain optimization, and blockchain integration. His vision for the future includes enhancing global sustainability practices through innovative technologies and mentoring the next generation of leaders in supply chain management and business analytics.

Dr. Njualemโ€™s work continues to bridge the gap between theoretical research and practical applications, ensuring lasting impact in both academia and industry.

TOP NOTED PUBLICATIONS ๐Ÿ“–

Leveraging Blockchain Technology in Supply Chain Sustainability: A Provenance Perspective
    • Authors: LA Njualem
    • Journal: Sustainability
    • Year: 2022
Exploring the effects of enterprise resource planning systems on direct procurement: An upstream asset-intensive industry perspective
    • Authors: L Njualem, M Smith
    • Journal: International Journal of Supply and Operations Management (IJSOM)
    • Year: 2018
A Conceptual Framework of the Impact of Globalization on the Mining Industry Supply Chain Networks
    • Authors: LA Njualem, O Ogundare
    • Journal: 2021 IEEE 8th International Conference on Industrial Engineering and
    • Year: 2021
A sustainability model for globalized mining supply chain
    • Authors: LA Njualem, O Ogundare
    • Journal: International Journal of Supply and Operations Management
    • Year: 2023
An Exploratory Study About Integrating Enterprise Engineering Change Management into Blockchain Technology
    • Authors: LA Njualem, C Pandey
    • Journal: Journal of Theoretical and Applied Electronic Commerce Research
    • Year: 2025
A computational model for gender asset gap management with a focus on gender disparity in land acquisition and land tenure security
    • Authors: O Ogundare, L Njualem
    • Journal: arXiv preprint arXiv:2404.09164
    • Year: 2024

Williams E. Nwagwu | Data Visualisation | Best Researcher Award

Prof. Williams E. Nwagwu l Data Visualisationย | Best Researcher Award

University of Ibadam, Nigeria

Author Profile

Orcid

๐ŸŒ Prof. Williams E. Nwagwu: Championing Informetrics and Science Communication for Africa’s Growth ๐Ÿš€

Prof. Williams E. Nwagwu is a distinguished Nigerian scholar, professor, and pioneer in informetrics and science communication, with a career dedicated to advancing Africaโ€™s scientific visibility and research excellence.

๐ŸŽ“ Academic Foundation and Education

Prof. Nwagwuโ€™s academic journey began with a Bachelorโ€™s degree in Statistics from Imo State University, where he developed a solid foundation in quantitative analysis. He pursued his Masterโ€™s and PhD at the University of Ibadan, Nigeriaโ€™s premier institution, cementing his expertise in information science and research methodologies.

๐Ÿ“ˆ Career Path and Global Contributions

His professional career launched at Nigeriaโ€™s Federal Ministry of Health as a statistician before transitioning to academia, where he joined the Africa Regional Centre for Information Science (now the Department of Data and Information Science) at the University of Ibadan.

  • Academic Leadership: Prof. Nwagwu has supervised over 120 Masterโ€™s and PhD students across Nigeria and internationally.
  • Research Excellence: With 109 publications in Web of Science-indexed journals, he is a leading voice in African informetrics and open access.
  • Global Engagement: He has presented at 30+ international conferences across 28 countries, fostering cross-border academic collaborations.
  • Innovative Projects: As a key contributor to the Microsoft Local Language Programme, he facilitated the inclusion of Igbo in Windows Vista 2007.

๐Ÿ“š Notable Roles and Recognitions

  • Council for the Development of Social Science Research in Africa (CODESRIA): Prof. Nwagwu was instrumental in establishing the African Citation Index and drafting the Dakar Declaration on Open Access to Knowledge in Africa, earning recognition from Web of Science.
  • Publications and Editorial Work: His scholarly work spans high-impact journals and influential book chapters, significantly contributing to African research visibility.

๐ŸŒŸ Personal Values and Vision

A staunch advocate for fairness, inclusivity, and respect across cultural and religious divides, Prof. Nwagwuโ€™s personal ethos aligns with his professional goals of creating equitable access to knowledge.

๐Ÿ”ฌ Current Research and Future Goals On Data Visualisation

Prof. Nwagwuโ€™s latest research, “Harnessing the Opportunities of 4IR Technologies for Advancing Research Excellence in Africa,” explores how Fourth Industrial Revolution (4IR) technologies can elevate Africaโ€™s scientific landscape. His vision is to empower African researchers and institutions to achieve global prominence and influence.

๐ŸŒ A Legacy of Empowerment

With an unwavering commitment to Africaโ€™s advancement, Prof. Williams E. Nwagwu continues to pave the way for a future where science, technology, and research drive sustainable development and global recognition for the continent.

๐Ÿ“– Top Noted Publications
  • Datafication Research (1994โ€“2023): Three Decades of Evolving Methodology in Data Science
    • Authors: Williams Ezinwa Nwagwu
    • Journal: Topoi
    • Year: 2025
  • Visualization and mapping of global eHealth research based on keywords
    • Authors: Williams E. Nwagwu
    • Journal: Global Knowledge, Memory and Communication
    • Year: 2024
  • Bibliometric visualisation of student knowledge and skills in key literacy domains
    • Authors: Williams E. Nwagwu
    • Journal: Educational Dimension
    • Year: 2024
  • Influence of social media on the uptake of emerging musicians and entertainment events
    • Authors: Williams E. Nwagwu, Ayobola Akintoye
    • Journal: Information Development
    • Year: 2024
  • Information seeking behaviour of informal caregivers at the premier tertiary teaching hospital in Nigeria
    • Authors: Williams Ezinwa Nwagwu, Helen Adedolapo Akanji
    • Journal: Information Development
    • Year: 2024
  • Mapping the field of global research on data literacy: Key and emerging issues and the library connection
    • Authors: Williams E. Nwagwu
    • Journal: IFLA Journal
    • Year: 2024
  • Innovative culture, innovative behaviour, social capital and performance of small and medium ICT enterprises in Lagos, Nigeria
    • Authors: Stanley Ejike Ibeku, Williams Ezinwa Nwagwu
    • Journal: Information Development
    • Year: 2024
  • Citation Analysis of Global Research on Data Literacy
    • Authors: Williams Ezinwa Nwagwu
    • Journal: Preprint
    • Year: 2024
  • Adoption and use of MOOCs by undergraduates in selected universities in Ibadan, Nigeria
    • Authors: Goodness Johanna Otitoju, Williams Ezinwa Nwagwu
    • Journal: Educational Technology Quarterly
    • Year: 2024

Hajar Abbasi | Food science and technology | Best Researcher Award

Dr. Hajar Abbasi l Food science and technologyย | Best Researcher Award

ย Azad University, Isfahan (Khorasgan) Branch, Iran

Author Profiles

Scopus

Orcid

๐ŸŽ“ Early Academic Pursuits

Dr. Hajar Abbasiโ€™s journey in Food Science and Technology began with a Bachelorโ€™s degree from the Isfahan (Khorasgan) Branch, Islamic Azad University, in 2003. Her academic curiosity deepened as she pursued a Masterโ€™s degree at Tehran University, focusing on essential oil extraction methods from pomegranate seeds. She continued her academic excellence by earning a Ph.D. from the Science and Research Branch, Islamic Azad University, Tehran, in 2012. Her doctoral thesis utilized artificial neural networks to predict rheological properties of dough based on flour characteristics, showcasing her ability to integrate advanced computational techniques into food science.

๐Ÿ’ผ Professional Endeavors

Dr. Abbasiโ€™s professional career reflects her unwavering commitment to advancing food science. Starting as a lecturer in 2008, she rose to the rank of Associate Professor in 2019 at the Department of Food Science and Technology, Isfahan (Khorasgan) Branch, Islamic Azad University. Alongside her academic roles, she has held influential positions, including Chair of the Knowledge Council of Basic Sciences and Agriculture and conductor of the health and food safety scientific program. Her leadership and innovation have significantly impacted her institution and the broader academic community.

๐Ÿ”ฌ Contributions and Research Focus

Dr. Abbasi has made substantial contributions to food science, focusing on functional food products, rheology, and advanced extraction techniques. Her research on low-protein cakes for phenylketonuria patients, recognized by a provisional patent, exemplifies her dedication to addressing health challenges through food innovation. Her research endeavors have attracted substantial grants, enabling her to explore novel solutions in food processing and technology.

๐ŸŒŸ Impact and Influence

Dr. Abbasiโ€™s work has left a profound impact on both academic and professional spheres. She has been recognized as a top M.Sc. and Ph.D. student during her academic journey and later received accolades such as the Best Supervisor Award (2023) and Top Researcher Award (2021). Her collaborations with industry, including projects on healthy product development and herbal beverages, demonstrate her commitment to applying research for societal benefit.

๐Ÿ“š Academic Contributions

Dr. Abbasi has served as a reviewer for esteemed journals like the Journal of Food Measurement and Characterization and the Journal of Research and Innovation in Food Science and Technology (JRIFST). Her extensive peer-review experience spans over 40 M.Sc. theses and two Ph.D. dissertations. Her role in evaluating innovative research ensures quality and relevance in the field.

๐Ÿง  Technical Skills and Expertise

Dr. Abbasiโ€™s technical expertise includes advanced food processing methods, neural network modeling, and rheological analysis. Her proficiency in developing functional and health-oriented food products has led to pioneering work in protein-free cereal-based products for metabolic patients.

๐Ÿ‘ฉโ€๐Ÿซ Teaching and Mentorship

As a dedicated educator, Dr. Abbasi has been teaching courses on cereal science, edible fat technology, and biophysical properties of food since 2007. Her mentorship has guided over 40 M.Sc. students and two Ph.D. candidates, fostering a new generation of food scientists.

๐ŸŒ Legacy and Future Contributions

Dr. Abbasiโ€™s enduring legacy lies in her ability to bridge academic research and real-world applications. Her collaboration with the Iranian Metabolic Patients Association and her innovative projects in functional foods underline her focus on impactful research. Looking forward, she aims to expand her contributions to sustainable food systems and cutting-edge technologies in food science.

๐Ÿ“– Top Noted Publications
Article: High-intensity short-term electrical pulses pretreatment on efficiency and functional characteristics of extracted chia seed mucilage: Optimization through response surface methodology
    • Authors: Karimi, N., Abbasi, H., Nasr-Esfahani, M.
    • Journal: Innovative Food Science and Emerging Technologies
    • Year: 2025
Article: Effects of Microwave, Infrared and Laser Beams on Physicochemical and Functional Characteristics of Cornstarch
    • Authors: Vaez, M., Abbasi, H.
    • Journal: Iranian Journal of Nutrition Sciences and Food Technology
    • Year: 2024
Article: Modeling Microbial Population of Coated Sprouted Wheat through Zarrin-Giah Essential Oil in Chitosan Emulsion under Modified Atmosphere Packaging
    • Authors: Najafi, N., Abbasi, H.
    • Journal: Iranian Food Science and Technology Research Journal
    • Year: 2024
Article: Green extraction of carotenoids from pumpkin with ultrasound-assisted method; optimization using response surface methodology
    • Authors: Sebdani, M.M., Abbasi, H.
    • Journal: Microchemical Journal
    • Year: 2023
Article: Effect of hydrocolloids, Pentosan, and egg yolk in mimicking the functional properties of protein in a low-protein sponge cake
    • Authors: Karimi, N., Abbasi, H.
    • Journal: Cereal Chemistry
    • Year: 2023

Shiming Li | Algorithm Development | Best Researcher Award

Dr. Shiming Li l Algorithm Developmentย | Best Researcher Award

North China University of Water Resources and Electric Power, China

Author Profile

Orcid

๐ŸŽ“ Early Academic Pursuits

Dr. Shiming Li began his academic journey with a strong foundation in Surveying and Mapping Science and Technology. He earned his Ph.D. in 2021 from Southwest Jiaotong University, Chengdu, China, where his research laid the groundwork for innovations in geospatial data integration and 3D modeling. His early interest in integrating diverse data sources shaped his career trajectory, leading to groundbreaking studies in multi-type point cloud data fusion.

๐Ÿ’ผ Professional Endeavors

Currently, Dr. Li serves as a Lecturer and Master Tutor at the College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China. In this capacity, he mentors aspiring professionals and collaborates on projects aimed at enhancing urban and water environment monitoring using advanced geoinformatics tools.

๐ŸŒ Contributions and Research Focus

Dr. Liโ€™s research revolves around the fusion of multi-type point cloud data obtained from drones, vehicles, backpacks, and handheld devices. His work addresses critical challenges in three-dimensional reconstruction of complex structures and intelligent scene recognition. By leveraging cutting-edge techniques, he has contributed to monitoring urban and aquatic environments, enabling more efficient and accurate spatial analysis.

๐ŸŒŸ Impact and Influence

Dr. Liโ€™s innovative research has advanced the field of surveying and mapping, particularly in urban planning and environmental monitoring. His studies have practical applications in designing sustainable infrastructure and improving disaster management strategies. His influence extends beyond academia, benefiting industries focused on spatial data and urban development.

๐Ÿ“š Academic Contributions

Dr. Li has authored and contributed to several peer-reviewed articles and conference papers, earning citations in prominent journals. His work is widely recognized for its technical rigor and relevance, making significant strides in geoinformatics research.

๐Ÿ› ๏ธ Technical Skills

Dr. Li is proficient in cutting-edge geospatial technologies and software for data integration and analysis, including GIS tools, point cloud processing platforms, and 3D modeling frameworks. His technical expertise supports his research in creating precise and scalable solutions for complex spatial challenges.

๐Ÿง‘โ€๐Ÿซ Teaching Experience

As a lecturer, Dr. Li is dedicated to shaping the next generation of geoinformatics professionals. He combines theory with practical applications in his teaching, inspiring students to explore innovative solutions in surveying and mapping. His mentorship extends to graduate students, helping them tackle advanced research problems.

๐Ÿš€ Legacy and Future Contributions

Dr. Shiming Li is poised to leave a lasting legacy in the field of surveying and geoinformatics. His future endeavors aim to further enhance the integration of multi-source spatial data for intelligent scene recognition and complex structural reconstruction. By continuing to push the boundaries of geospatial research, he is set to contribute to the sustainable development of urban and water environments globally.

๐Ÿ“– Top Noted Publications

Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images
    • Authors: Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2025
Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
    • Authors: Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu
    • Journal: Remote Sensing
    • Year: 2024
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
    • Authors: Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li
    • Journal: Sensors
    • Year: 2024
OFFS-Net: Optimal Feature Fusion-Based Spectral Information Network for Airborne Point Cloud Classification
    • Authors: Peipei He, Kejia Gao, Wenkai Liu, Wei Song, Qingfeng Hu, Xingxing Cheng, Shiming Li
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Spatiotemporal Information Mining for Emergency Response of Urban Flood Based on Social Media and Remote Sensing Data
    • Authors: Hui Zhang, Hao Jia, Wenkai Liu, Junhao Wang, Dehe Xu, Shiming Li, Xianlin Liu
    • Journal: Remote Sensing
    • Year: 2023
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China Southโ€“North Water-Diversion Project
    • Authors: Qingfeng Hu, Yingchao Kou, Jinping Liu, Wenkai Liu, Jiuyuan Yang, Shiming Li, Peipei He, Xianlin Liu, Kaifeng Ma, Yifan Li, et al.
    • Journal: Remote Sensing
    • Year: 2023
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
    • Authors: Li Shiming, Tingrui Bao, Hui Liu, Rongxin Deng, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2023

Mersha Minwuyelet | Biology Education | Editorial Board member

Dr. Mersha Minwuyelet l Biology Educationย | Editorial Board member

Begemidir College of Teachers Education, Ethiopia

Author Profile

Orcid

Early Academic Pursuits ๐ŸŽ“

Mersha Minwuyelet Kassa‘s academic journey began at Bahir Dar University, where he pursued his Bachelorโ€™s in Biology Education (B.Ed.) in 1999, followed by a Masterโ€™s in Biology (M.Sc.) in 2002. His thesis, titled Prevalence and Antibiotic Susceptibility of Bacteria Isolated from Diarrheal Patients in Bahir Dar, North West Ethiopia, explored critical health issues. He later attained a Doctor of Education in Biology in 2024 from the same institution. His commitment to advancing education and scientific understanding has been the driving force behind his academic endeavors.

Professional Endeavors ๐ŸŒ

Dr. Kassa has accumulated over 12 years of experience as a lecturer at the College of Teachers Education in Ethiopia. His roles as an HIV/AIDS Focal Person for various NGOs and as a research team member at Finote Selam College of Teacher Education highlight his broad professional portfolio. He has dedicated his career to fostering quality education, particularly in biology, and to ensuring the holistic development of students. His leadership roles also include serving as a director and HIV/AIDS focal person, contributing to the wellbeing of students and faculty.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Kassaโ€™s research has made significant contributions to the field of Biology education, particularly in using multimedia and dynamic classroom-integrated instruction. His innovative approach to biology teaching, along with his focus on practical applications like the “Using Formula New Approach of Multiplication Table,” reflects his desire to enhance student engagement and academic success. His latest research, published in Heliyon (2024), addresses the impact of multimedia and dynamic teaching methods on the academic achievement of Grade 11 students in Biology.

Impact and Influence ๐ŸŒŸ

Dr. Kassaโ€™s work has had a lasting impact on the educational landscape in Ethiopia. His research in HIV/AIDS prevention among students, alongside his publications and involvement in international research conferences, has helped raise awareness and drive educational reform. By applying innovative teaching strategies, he has empowered both educators and students, influencing their approach to learning and research. His innovative methods in classroom instruction have significantly enhanced the quality of education in the institutions where he has worked.

Academic Cites ๐Ÿ“š

Dr. Kassaโ€™s contributions to academic research are well-regarded. His work has been cited in international journals and conferences, with notable publications such as “Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Studentsโ€™ Biology Academic Achievement” published in Heliyon (2024). His citation in prominent scientific publications and leadership roles reflect his status as a recognized scholar in the field of Biology education.

Technical Skills ๐Ÿ–ฅ๏ธ

Dr. Kassa is proficient in essential computer software, including MS Word, MS Excel, and MS PowerPoint. These skills enhance his ability to plan and present complex educational materials effectively. Furthermore, his research and teaching methodologies incorporate the use of multimedia and dynamic classroom strategies, showcasing his technical expertise in leveraging technology for educational enhancement.

Teaching Experience ๐ŸŽ

With over a decade of experience, Dr. Kassa has excelled as a biology educator. His teaching spans various educational levels, from junior and high schools to teacher education colleges. He has trained students in both scientific knowledge and ethical practices, particularly in health-related topics such as HIV/AIDS prevention. His comprehensive approach to teaching integrates the latest research and technology, ensuring that his students are well-prepared for both academic and professional challenges.

Legacy and Future Contributions ๐Ÿ”ฎ

Dr. Kassaโ€™s legacy lies in his ability to inspire future generations of educators and students. As he continues to contribute to biological sciences and education, his impact is felt not only in Ethiopia but also globally through his publications and research presentations. Looking forward, Dr. Kassa aims to further innovate in teaching methodologies, research, and educational leadership, continuing to shape the future of biology education and contribute to the broader scientific community.

๐Ÿ“– Top Noted Publications
Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Studentsโ€™ Biology Academic Achievement
    • Authors: Mersha Minwuyelet Kassa, Mulugeta Kibret Azene, Solomon Melesse Mengstie, Melaku Wale Ferede
    • Journal: Heliyon
    • Year: 2024
Using Formula New Approach of Multiplication Table
    • Authors: Mersha Minwuyelet Kassa
    • Journal: International Journal of Advances in Scientific Research and Engineering
    • Year: 2018

Nishant Agarwal | Financial Data Analysis | Best Researcher Award

Mr. Nishant Agarwal l Financial Data Analysisย | Best Researcher Award

University of Western Australia, Australia

Author Profiless

Scopus

Orcid

๐ŸŽ“ Early Academic Pursuits

Nishant Agarwalโ€™s academic journey reflects a relentless pursuit of excellence. He holds a Ph.D. in Accounting from the prestigious Indian School of Business, Hyderabad, where he was awarded the ISB FPM Fellowship for his scholarly promise. As a visiting Ph.D. scholar at Michigan State University, he collaborated with renowned faculty, enriching his research acumen. His educational foundation includes an MBA from the Indian Institute of Management (IIM) Kolkata, where he received the esteemed Post Graduate Diploma in Management, and a Bachelorโ€™s degree in Automation Engineering from the University of Delhi.

๐Ÿ’ผ Professional Endeavors

Currently a Lecturer in Accounting at the University of Western Australia (UWA), Nishant has been instrumental in leading units such as Financial Statement Analysis, Management Accounting, and Data Analytics since August 2018. His prior industry experience spans analytical roles at American Express, Unitech, and Tata Consultancy Services (TCS), showcasing his versatility and expertise in risk analytics, data modeling, and strategic planning.

๐Ÿ”ฌ Contributions and Research Focus

Nishantโ€™s research interests include capital market intermediaries, disclosures, cybersecurity, information asymmetries, and cost behavior. His collaborative working papers explore nuanced topics such as audit matters, cost behavior under uncertainties, and resource allocationโ€™s impact on financial metrics. His contributions have received significant recognition, securing grants like the IMA Incubator Grant and AFAANZ funding, underscoring his influence in the field.

๐ŸŒŸ Teaching Excellence

With over five years of teaching experience at UWA, Nishant has consistently delivered high-quality education, earning average ratings of 4.5/5 in postgraduate courses and 4.2/5 in undergraduate courses. He designed and piloted the “Introduction to Business Analytics” unit, a foundational course for the Masterโ€™s in Business Analytics program. His innovative teaching approach extends to workshops, such as the highly-rated “Causal Inference” workshop for Ph.D. students at ISB.

๐Ÿ“š Academic Influence and Citations

Nishant has contributed significantly to academia through his roles as a reviewer for premier journals, including Accounting and Finance and Accounting Horizons. His involvement with the Pacific Accounting Review’s Early Career Reviewer Board further highlights his commitment to advancing academic scholarship.

๐Ÿ”ง Technical Skills

Proficient in statistical tools such as SAS and data analytics platforms, Nishant combines technical expertise with theoretical knowledge. His skills in predictive modeling and risk analysis have been instrumental in both his industry and academic roles.

๐ŸŽ“ Legacy and Future Contributions

Nishantโ€™s legacy as a dedicated mentor is evident in his supervision of four Ph.D. students and his contributions to academic service, including coordinating seminars and serving on research committees. His ongoing work with the UWA Data Institute and his involvement in ethics reviews demonstrate his commitment to shaping the future of accounting research and education. As a liaison for the Chartered Institute of Management Accountants (CIMA), Nishant bridges academia and professional practice, ensuring his impact resonates beyond the classroom.

๐ŸŒ Broader Impact

Through his interdisciplinary approach, spanning academia, industry, and professional development, Nishant Agarwal is a beacon of innovation and leadership in accounting and analytics. His work continues to inspire students, collaborators, and peers alike.

๐Ÿ“– Top Noted Publications
Institutional Theory and Hybrid Accounting and Control Systems
    • Authors: Agarwal, N., Krishnan, R., Weiler, L.
    • Journal: Journal of Management Accounting Research
    • Year: 2024
Cost Decisions of Supplier Firms: A Study Based on the Customer-Supplier Link
    • Authors: Agarwal, N., Agarwal, S.
    • Journal: Management Accounting Research
    • Year: 2024
Data Breach Notification Laws and the Cost of Private Debt
    • Authors: Agarwal, N., Agarwal, S., Chatterjee, C.
    • Journal: British Accounting Review
    • Year: 2024
Cost Stickiness and Stock Price Delay
    • Authors: Agarwal, N.
    • Journal: European Accounting Review
    • Year: 2024
Linking ESG-Investing Consciousness, Behavioral Biases, and Risk-Perception: Scale Validation with Specifics of Indian Retail Investors
    • Authors: Deka, J., Sharma, M., Agarwal, N., Tiwari, K.
    • Journal: European Journal of Business Science and Technology
    • Year: 2023
Growth Opportunities, Information Asymmetry, and Dividend Payout: Evidence from Mandatory IFRS Adoption
    • Authors: Agarwal, N., Chakraverty, A.
    • Journal: European Accounting Review
    • Year: 2023

Omar Haddad | Artificial Intelligence | Best Researcher Award

Dr. Omar Haddad l Artificial Intelligenceย | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

๐ŸŽ“ Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

๐Ÿ’ผ Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

๐Ÿ“š Contributions and Research Focus

Dr. Haddadโ€™s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

๐ŸŒŸ Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

๐Ÿ› ๏ธ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

๐Ÿ›๏ธ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

๐ŸŒ Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

๐Ÿ“– Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024