Lewis Njualem | Blockchain | Best Researcher Award

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Dr. Lewis Njualem l Blockchain | Best Researcher Award

California State University San Bernardino, United States

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DR. LEWIS A. NJUALEM: PIONEER IN SUPPLY CHAIN INNOVATION 🌍📊

EARLY ACADEMIC PURSUITS 🎓

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 💼

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 📚

Dr. Njualem’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 🌟

Dr. Njualem’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 🎓

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 🌍

With a career spanning academia and industry, Dr. Njualem’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. Njualem’s work continues to bridge the gap between theoretical research and practical applications, ensuring lasting impact in both academia and industry.

TOP NOTED PUBLICATIONS 📖

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

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

University of Ibadam, Nigeria

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🌍 Prof. Williams E. Nwagwu: Championing Informetrics and Science Communication for Africa’s Growth 🚀

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

🎓 Academic Foundation and Education

Prof. Nwagwu’s academic journey began with a Bachelor’s degree in Statistics from Imo State University, where he developed a solid foundation in quantitative analysis. He pursued his Master’s and PhD at the University of Ibadan, Nigeria’s premier institution, cementing his expertise in information science and research methodologies.

📈 Career Path and Global Contributions

His professional career launched at Nigeria’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 Master’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.

📚 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.

🌟 Personal Values and Vision

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

🔬 Current Research and Future Goals On Data Visualisation

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

🌍 A Legacy of Empowerment

With an unwavering commitment to Africa’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.

📖 Top Noted Publications
  • Datafication Research (1994–2023): 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

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

 Azad University, Isfahan (Khorasgan) Branch, Iran

Author Profiles

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🎓 Early Academic Pursuits

Dr. Hajar Abbasi’s journey in Food Science and Technology began with a Bachelor’s degree from the Isfahan (Khorasgan) Branch, Islamic Azad University, in 2003. Her academic curiosity deepened as she pursued a Master’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.

💼 Professional Endeavors

Dr. Abbasi’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.

🔬 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.

🌟 Impact and Influence

Dr. Abbasi’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.

📚 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.

🧠 Technical Skills and Expertise

Dr. Abbasi’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.

👩‍🏫 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.

🌍 Legacy and Future Contributions

Dr. Abbasi’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.

📖 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

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Dr. Shiming Li l Algorithm Development | Best Researcher Award

North China University of Water Resources and Electric Power, China

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🎓 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.

💼 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.

🌍 Contributions and Research Focus

Dr. Li’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.

🌟 Impact and Influence

Dr. Li’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.

📚 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.

🛠️ 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.

🧑‍🏫 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.

🚀 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.

📖 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 South–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

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Dr. Mersha Minwuyelet l Biology Education | Editorial Board member

Begemidir College of Teachers Education, Ethiopia

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Early Academic Pursuits 🎓

Mersha Minwuyelet Kassa‘s academic journey began at Bahir Dar University, where he pursued his Bachelor’s in Biology Education (B.Ed.) in 1999, followed by a Master’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 🌍

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 🔬

Dr. Kassa’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 🌟

Dr. Kassa’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 📚

Dr. Kassa’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 Students’ 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 🖥️

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 🍎

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 🔮

Dr. Kassa’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.

📖 Top Noted Publications
Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ 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

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

University of Western Australia, Australia

Author Profiless

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🎓 Early Academic Pursuits

Nishant Agarwal’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 Bachelor’s degree in Automation Engineering from the University of Delhi.

💼 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.

🔬 Contributions and Research Focus

Nishant’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 allocation’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.

🌟 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 Master’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.

📚 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.

🔧 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.

🎓 Legacy and Future Contributions

Nishant’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.

🌐 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.

📖 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

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 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.

💼 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.

📚 Contributions and Research Focus

Dr. Haddad’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.

🌟 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.

🛠️ 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.

👨‍🏫 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.

🏛️ 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.

🌐 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.

📖 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

Guru Guruswamy | Aerospace | Best Researcher Award

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Dr. Guru Guruswamy l Aerospace | Best Researcher Award

NASA Ames Research Center, United States

Author Profiles

Scopus

Google Scholar

🎓 Education

Dr. Guru Guruswamy holds a PhD from the School of Aeronautics and Astronautics at Purdue University (GPA 6.0/6.0), where his thesis focused on Time Dependent Transonic Aeroelasticity of Airfoils. He also earned a Master’s in Structural Engineering from the Indian Institute of Science (with Distinction), where his thesis centered on Finite Element-Based Analysis and Optimization of Suspension Bridges. Dr. Guruswamy completed his Bachelor’s in Civil Engineering from Bangalore University, where he was awarded the Gold Medal for being the top student.

💼 Professional Experience

Currently, Dr. Guruswamy serves as a Distinguished Ames Associate and consultant for the High Fidelity Simulation of Air Taxis, focusing on stability and control. He has spent over 35 years at NASA Ames Research Center as a Senior Scientist and Group Lead, specializing in High-Performance Computational Aeroelasticity. During this time, he led the development of groundbreaking programs like ENSAERO and HiMAP, and managed important projects in UCAV and AWS. He has also held key positions at Sterling Software Systems and U.S. Air Force Flight Dynamics Laboratory, where he contributed to advancements in aeroelastic applications for airfoils.

👨‍🏫 Academic Experience

Dr. Guruswamy has an extensive academic background, having served as a Teaching Assistant at Purdue University, a Visiting Lecturer at Stanford University, and a PhD Thesis Advisor for graduate students at top universities such as Stanford, Virginia Tech, and Georgia Tech. Additionally, he has mentored numerous graduate research and co-op students at NASA, helping to shape the future of aerospace engineering.

🌐 Professional Activities

Dr. Guruswamy is an active member of the academic and aerospace community, having coordinated the Symposium on Classical to Computational Aeroelasticity at IISc in 2018. He currently serves on the Editorial Board of the International Journal of Aerospace Innovations and has held advisory roles for the AIAA Journal of Aircraft. He has also been involved in numerous AIAA Technical Committees and has reviewed articles for leading journals in the aerospace industry.

💻 Software Projects

Throughout his career, Dr. Guruswamy has led the development of several influential software programs, including ATran3S (the first 3D Fluid/Structure/Control Interaction Program based on Transonic Small Disturbance Theory), ENSAERO (the first 3D Fluid/Structure/Control Interaction Program based on Euler/Navier-Stokes Equations), and HiMAP, a high-fidelity multidisciplinary analysis process. These tools have been distributed to numerous organizations worldwide, winning NASA Space Act Awards and Software Release Awards.

🏆 Awards & Recognition

Dr. Guruswamy has received numerous prestigious awards, including the NASA Achievement Award for his contributions to Project Columbia, NASA HQ Turning Goals into Reality Award, and the AIAA Multidisciplinary Design Optimization Service Award. He has also been recognized with NASA Technical Brief Awards, a Gold Medal from Bangalore University, and the David Ross Fellowship from Purdue University, among many others.

🎤 Invited Talks

Dr. Guruswamy is a sought-after speaker and has delivered invited talks at high-profile events, such as the VAIBHAV Summit, organized by the Office of the Prime Minister of India, and the Symposium on Classical to Computational Aeroelasticity at IISc. He has also spoken at renowned institutions such as Stanford University, Infosys, and GE R&D Center.

📈 Administrative & Technical Roles

Dr. Guruswamy has held significant administrative and technical roles, including overseeing projects worth over $4.5 million in High-Performance Computational Aeroelasticity and Rotorcraft Computational Aeroelasticity. He has also served as a technical monitor for multiple projects related to FPGA and high-performance computing.

📖 Top Noted Publications
A body-fitted structured grid approach to simulate breathing mode oscillations during parachute deployment

Author: Guruswamy, G.P.
Journal: Aerospace Science and Technology
Year: 2025

Grid topology for time-accurate deployment simulation of 2D Parachutes by using Navier-Stokes equations

Author: Guruswamy, G.P.
Journal: Aerospace Science and Technology
Year: 2023

High Fidelity Flight Simulation of Small Aircraft over Tall Buildings

Author: Guruswamy, G.P.
Journal: Journal of Aerospace Engineering
Year: 2022

Computation of gust induced responses of an air taxi by using Navier-Stokes equations

Author: Guruswamy, G.
Journal: Aerospace Science and Technology
Year: 2022

Active control of Dutch-roll oscillations of eVTOL

Author: Guruswamy, G.P.
Journal: Aerospace Science and Technology
Year: 2021

Wanlin Fang | Government and Public Policy Analysis | Best Scholar Award

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Ms. Wanlin Fang l Government and Public Policy Analysis | Best Scholar Award

Institute of Disaster Prevention, China

Author Profile

Orcid

🎓 Early Academic Pursuits

Ms. Wanlin Fang is currently a Master’s degree candidate at the Institute of Disaster Prevention, specializing in catastrophe insurance and disaster-related public opinion. Her academic journey has been marked by a strong research focus on the factors influencing the acceptance of earthquake catastrophe insurance. She has published research on the topic, contributing valuable insights into the role of government-insurance collaboration in disaster risk management.

💼 Professional Endeavors

Ms. Fang’s professional work is centered around the field of disaster risk reduction. She has completed research on risk assessment and public opinion regarding earthquakes in Sichuan, publishing her findings in reputable journals such as the Journal of Seismological Research and the International Journal of Disaster Risk Reduction. She has not yet taken on consultancy or industry projects, nor has she published books or patents, but her scholarly contributions are notable in the academic field.

🔬 Contributions and Research Focus

Ms. Fang developed a novel framework that integrates public services, risk preferences, and insurance product design to analyze the acceptance of earthquake catastrophe insurance. Using PLS-SEM (Partial Least Squares Structural Equation Modeling), her research examines the role of government-insurance collaboration in improving disaster preparedness. Her findings have made significant contributions to disaster risk management strategies, especially in the context of enhancing disaster resilience through tailored insurance solutions.

🌍 Impact and Influence

Ms. Fang’s research has influenced the understanding of public-private collaboration in disaster preparedness, offering actionable insights into how the insurance sector can be better integrated into government-led risk management strategies. Her work on earthquake catastrophe insurance acceptance has the potential to improve disaster resilience, particularly in earthquake-prone regions. Her publications continue to shape how public opinion is considered in disaster-related policy-making.

📚 Academic Citations

  • Q. Yuan, W. Fang, R. Sun, J. Hu, “Risk assessment and survey of the public opinion on three earthquakes in Sichuan in 2022,” Journal of Seismological Research, 47 (2024) 263–272. (in Chinese)
  • W. Fang, Q. Yuan, “A study on factors influencing the acceptance of earthquake catastrophe insurance from the perspective of government-insurance collaboration,” International Journal of Disaster Risk Reduction, 116 (2025) 105164.

Her work has begun to attract citations, marking her growing influence in the field.

💻 Technical Skills

Ms. Fang is proficient in data analysis and statistical modeling techniques, particularly PLS-SEM, to analyze complex relationships in disaster risk management and insurance acceptance. Her skills in research design, data interpretation, and scientific publication allow her to produce high-quality insights into disaster preparedness and public opinion dynamics.

📚 Teaching Experience

While Ms. Fang has not yet had formal teaching roles, her research publications and contributions to academic discourse demonstrate a strong foundation in sharing knowledge and advancing the field of disaster risk management. Her expertise positions her well to contribute to future teaching and mentoring in this domain.

🏆 Legacy and Future Contributions

Ms. Fang is poised to make significant future contributions in the field of catastrophe insurance and disaster risk management. By continuing her research on integrating public-private collaboration in earthquake preparedness, her work will likely impact policy decisions and strategies aimed at improving disaster resilience in vulnerable communities. Her dedication to advancing the field ensures that she will continue to be a valuable contributor to both academia and practical disaster management solutions.

📖 Top Noted Publication
A study on factors influencing the acceptance of earthquake catastrophe insurance from the perspective of government-insurance collaboration
  • Authors: Wanlin Fang, Qinglu Yuan
  • Journal: International Journal of Disaster Risk Reduction
  • Year: 2025

Israel Muaka Mvitu | Energy and Utilities Analytics | Best Researcher Award

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Mr. Israel Muaka Mvitu l Energy and Utilities Analytics | Best Researcher Award

Chang’an University, China

Author Profiles

Orcid

Google Scholar

👨‍🎓 Summary

Mr. Israel Muaka Mvitu Engineer Master’s student at Chang’an University, specializing in control science and engineering with a focus on new energy vehicles, energy storage technology, embedded systems, sensors, and AI. Passionate about applying acquired knowledge to solve real-world problems and improve quality of life.

🎓 Education

  • Master’s in Control Science and Engineering (2022 – present), Chang’an University, China
  • Bachelor’s in Electronics Information Engineering (2018 – 2022), Jiangxi Normal University, China
  • High-school Diploma (2011 – 2017), Mont-Amba Institute, with distinction in Mathematics and Physics.

💼 Professional Experience

  • Co-Founder & Technical Team Member, Lever Africa Ltd, Lyon, France (2019 – present): Responsible for app development, design, testing, and decision-making.
  • Personal English Teacher (April – June 2021): Taught English to a Chinese student, improving spoken and written skills.
  • Transcriber and QA, Relish International (Dec 2022 – April 2023): Transcribed French audio conversations and conducted quality assurance with a 98% approval rate.

🏆 Academic Achievements

  • Outstanding winner of the Jiangxi Provincial Scholarship (2018 – 2022).
  • Excellence Prize in the writing competition “A Letter to You” for foreign students in Jiangxi.
  • Passed HSK Level 4 Chinese proficiency test (May 2021).

🔬 Research Interests

  • Energy consumption reduction and efficiency in buildings using reinforcement learning and the CityLearn framework.
  • New energy vehicle technology, applications, and energy storage systems.

💻 Technical Skills

  • Control systems, embedded systems, sensors, AI, energy storage technology, new energy vehicles.

📚 Teaching Experience

  • Taught English to a Chinese student, focusing on language improvement in speaking and writing.
📖 Top Noted Publications
The Nonlinear Dynamics of CO₂ Emissions in Pakistan: A Comprehensive Analysis of Transportation, Electricity Consumption, and Foreign Direct Investment
    • Authors: Muhammad Adeel, Biao Wang, Ji Ke, Israel Muaka Mvitu
    • Journal: Sustainability
    • Year: 2024
Coordination and Optimal Supply of Microgrid Clusters in Large-Scale Transportation Self-Consistent Energy Systems: A Review
    • Authors: Muhammad Adeel, Biao Wang, Assad Ali, Ananna Zaman, Amin Ullah Khan, Misbah Fida, Israel Muaka Mvitu, Rabbi Binda Mvitu, Selma Magano Shuuya
    • Journal: International Journal of Latest Engineering Research and Applications (IJLERA)
    • Year: 2024