Md Kazi Hafizur Rahman | Technology | Excellence in Research

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Mr. Md Kazi Hafizur Rahman | Technology | Excellence in Research

Lecturer at Department of Business Administration University of Global Village (UGV),  Bangladesh

Md. Kazi Hafizur Rahman exemplifies a research-driven academic with remarkable productivity in a short span, especially notable for his age and early career stage. His interdisciplinary contributions to AI, sustainability, HRM, and youth development set him apart as a rising research leader. His ability to translate complex research into social impact, along with leadership in academic and non-academic roles, makes him highly

AUTHOR PROFILE
🎓 Education

Md. Kazi Hafizur Rahman holds a Master of Business Administration (MBA) in Human Resource Management from the Department of Management Studies at the University of Barishal, graduating in 2024 with a stellar CGPA of 3.96 out of 4.00. His thesis explored the integration of Artificial Intelligence in HRM, focusing on its impact on efficiency, inclusivity, and sustainable competitive advantage. He completed his Bachelor of Business Administration (BBA) in the same department with a CGPA of 3.72 in 2023. Earlier academic milestones include a Higher Secondary Certificate (HSC) from Govt. Sayed Hatem Ali College, Barishal in 2017 (GPA: 4.67) and a Secondary School Certificate (SSC) from Collegiate High School, Barishal in 2015 (GPA: 4.72).

👩‍🏫 Teaching Experience

Currently serving as a Lecturer in the Department of Business Administration at the University of Global Village (UGV), Barishal since October 2024, Kazi Hafizur Rahman combines academic rigor with impactful community engagement. As an Independent Researcher, he has authored numerous scholarly articles published in top-tier journals indexed in WoS, Scopus, and ABDC, while also serving as a reviewer for IEEE Access and similar outlets. He has contributed to multiple UGC-funded research projects as a Research Assistant, focusing on tourism development and climate change impact on coastal economies. From 2018 to 2024, he was affiliated with the Daily Dokhiner Somoy, progressing from Campus Correspondent to News Editor, while also managing editorial content for the education-focused page “Somoyer Sikkha.” In addition, he has facilitated leadership and civic training programs with the British Council, The Hunger Project, and others, and led social action projects with international recognition, including an award-winning initiative at COP-26.

🛰️ Research Focus

His research interests center on Artificial Intelligence integration in management, green innovation, corporate sustainability, entrepreneurship, and digital transformation. He has co-authored over 10 peer-reviewed articles published in highly ranked journals such as Business Strategy and the Environment, Environment, Development and Sustainability, and Sustainability, with topics covering STARA capabilities, GHRM, circular economy, and the impact of AI and digital tools on performance and learning outcomes. His work is often cross-disciplinary, blending insights from human resources, environmental studies, and technology management.

🛠️ Skills

Kazi Hafizur Rahman demonstrates exceptional technological proficiency in tools such as SPSS, AMOS, SMART PLS, and MS Office Suite, with advanced capabilities in both Bengali and English typing. His interpersonal competencies include a proactive mindset, strong work ethic, and relationship-building skills, complemented by excellent communication abilities in public speaking, anchoring, news presenting, and content writing. Furthermore, he excels in delivering virtual training and adapting to emerging technologies quickly and effectively.

🏆 Awards and Honors

Kazi Hafizur Rahman was a Co-Principal Investigator for a research project titled “Leveraging AI to Attain Sustainable Performance through Knowledge Management and Innovation”, which was granted BDT 5,00,000 by Ahsanullah University of Science and Technology (AUST) under the AIRG program in 2025. He co-led the COP-26-recognized social action project on sustainable urban environmental management. His leadership roles include serving as President of the Management Studies Association (2021-2022), General Secretary of Barishal University Press Club (2022-2024), and multiple key positions in student and social organizations such as CRC Foundation, SERAC Bangladesh, and Bangladesh Human Rights Commission, Barishal Unit.

📚Publication 

Title: Mediating role of entrepreneurial intention on the relationship between entrepreneurship education and employability: a study on university students from a developing country
Authors: MAI Gazi, MKH Rahman, MF Yusof, AA Masud, MA Islam, ARS Senathirajah, MA Hossain
Source: Cogent Business & Management, 11(1), 2294514
Year: 2024
Citations: 37

Title: AI capability and sustainable performance: unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator
Authors: MAI Gazi, MKH Rahman, AA Masud, MB Amin, NS Chaity, ARS Senathirajah, M Abdullah
Source: Sustainability, 16(17), 7466
Year: 2024
Citations: 17

Title: Fostering sustainability through technological brilliance: a study on the nexus of organizational STARA capability, GHRM, GSCM, and sustainable performance
Authors: AA Masud, MT Islam, MKH Rahman, MH Or Rosid, MJ Rahman, T Akter, K Szabó
Source: Discover Sustainability, 5(1), 325
Year: 2024
Citations: 10

Title: Adaptability and resilience: Insights into Bangladeshi E-commerce customer behavior during COVID-19
Authors: MAI Gazi, AA Masud, MKH Rahman, MR Islam, A Senathirajah
Source: Environment and Social Psychology, 9(7), 2626
Year: 2024
Citations: 7

Title: Impact of green banking practices on green CSR and sustainability in private commercial banks: the mediating role of green financing activities
Authors: MAI Gazi, A Al Masud, S bin Kabir, NS Chaity, AR bin S Senathirajah, MKH Rahman
Source: Journal of Sustainability Research, 6(4)
Year: 2024
Citations: 5

Title: AI capability and sustainable performance: unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator
Authors: MAI Gazi, MKH Rahman, AA Masud, MB Amin, NS Chaity, A Senathirajah, M Abdullah
Source: Sustainability, 16(17), 7466
Year: 2024
Citations: 5

Title: Paving the way of entrepreneurship for university students: the role of innovativeness, technological adaptability, and self-management, with risk-taking and family support as moderators
Authors: MAI Gazi, AT Mim, AA Masud, MKH Rahman, MB Amin, ARS Senathirajah
Source: Cogent Education, 12(1), 2455230
Year: 2025
Citations: 4

Title: Sustainable embankment contribute to a sustainable economy: The impact of climate change on the economic disaster in coastal area
Authors: MAI Gazi, A Al Masud, MKH Rahman, MB Amin, M Emon
Source: Environmental Development, 55, 101208
Year: 2025

🏁conclusion

Md. Kazi Hafizur Rahman is an ideal candidate for the Research for Excellence in Research Award. His scholarly rigor, publication quality, project leadership, and community engagement are all aligned with the core criteria of the award. With continuous growth in collaboration, applied research, and citation impact, he is poised to become a future academic thought leader in sustainability and technological innovation.

Prof. Mohammed Almulla | Machine Learning | Best Researcher Award

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Prof. Mohammed Almulla | Machine Learning | Best Researcher Award

VP Academic Affairs, Kuwait University, Kuwait

Professor Mohammed Ali Almulla is a distinguished Kuwaiti academic and researcher. With a career spanning over three decades, he has significantly contributed to the field of computer science, particularly in areas such as web services, emotion recognition, and fuzzy logic techniques. He is currently a Professor at Kuwait University and has held various leadership positions, including Chairman of the Department of Computer Science. His work has garnered recognition through several publications, research awards, and innovations in the realm of machine learning, artificial intelligence, and medical expert systems. Professor Almulla is known for his comprehensive research approach and deep engagement with emerging technologies, bridging academia and industry. His scholarly contributions are frequently cited, underlining his influence within the academic community.

Profile

Education

Professor Almulla completed his B.Sc. (1986), M.Sc. (1990), and Ph.D. (1995) in Computer Science from McGill University, Canada. His Ph.D. thesis, titled “Analysis of the Use of Semantic Trees in Automated Theorem Proving”, laid the foundation for his future research endeavors. With a deep understanding of theoretical and applied computer science, he has focused on machine learning, fuzzy systems, and semantic analysis. His education from McGill University, a globally recognized institution, has helped him build a solid academic foundation. Additionally, he possesses a comprehensive grasp of Arabic and English, enabling him to communicate and collaborate across cultures and academic circles.

Experience

Professor Almulla’s career at Kuwait University started in 1986 when he began as an Instructor. He progressed to Assistant Professor (1995–2006), then Associate Professor (2006–2021), and is currently serving as a Professor (2021–present). He has also been actively involved in departmental administration, having served as Chairman (2015–2020) and Graduate Program Director (2010–2013). Under his leadership, the Department of Computer Science achieved ABET accreditation, an outstanding accomplishment. His role as Acting Chairman in Mathematics and Computer Science in various periods further exemplifies his leadership skills. His dedication to advancing higher education and research has been integral to the development of the computer science field in Kuwait.

Awards and Honors

Professor Almulla’s academic excellence has been recognized through several Incentive Rewards for Unfunded Research in 2014, 2015, and 2017, with impactful papers published in journals such as Knowledge-Based Systems. His work on service trust behaviors, web services ranking, and fuzzy techniques has earned him significant recognition. He was also honored with Distinctive Teaching Awards in both the College of Computer Science and Engineering (2011/2012) and the Faculty of Science (2001/2002). These awards underscore his excellence in teaching, his commitment to innovative research, and his positive impact on student education.

Research Focus

Professor Almulla’s research focuses on a wide array of cutting-edge topics in computer science. Key areas of expertise include machine learning, fuzzy systems, service trust behaviors, and medical expert systems. His recent work explores emotion recognition systems, federated learning, and web services ranking. In addition, he has contributed to advancements in semantic similarity, automated theorem proving, and healthcare applications. With an eye toward the future, his research continues to bridge the gap between theoretical models and real-world applications, particularly in healthcare and artificial intelligence.

Publication top Notes

  • A Trust-based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning 🏥🤖
  • A Novel CLIPS-based Medical Expert System for Migraine Diagnosis and Treatment Recommendation 💡🧠
  • On the Effect of Prior Knowledge in Text-Based Emotion Recognition 🧠💬
  • A Multimodal Emotion Recognition System Using Deep Convolution Neural Networks 🖥️🔍
  • Location-based Expert System for Diabetes Diagnosis and Medication Recommendation 🏥💊
  • Measuring Semantic Similarity between Services Using Hypergraphs 🧠🌐
  • Specification and Recognition of Service Trust Behaviors 💻✅
  • Next-Generation Sequencing in Familial Breast Cancer Patients from Lebanon 🧬🎗️
  • A New Framework for the Verification of Service Trust Behaviors 🛡️💡
  • GeoCover: An Efficient Sparse Coverage Protocol for RSU Deployment over Urban VANETs 🚗🌍
  • A New Fuzzy Hybrid Technique for Ranking Real World Web Services 🌐🔍

 

 

 

Mahad Rashid | Machine Learning | Best Researcher Award

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Mr Mahad Rashid | Machine Learning | Best Researcher Award

Senior Analytics Consultant at WorkSafe VIC, Australia

Mahad Rashid is an enthusiastic and skilled Analytics Consultant with a Master’s degree in Data Science from Deakin University. With over six years of experience in data analysis, machine learning, and software engineering, Mahad has a proven track record of developing data-driven solutions to enhance business operations and customer experiences. Proficient in Python, SAS, SQL, and data visualization tools like Power BI and Qlik, he has worked in diverse roles, including Senior Analytics Consultant at WorkSafe Victoria and Research Engineer at the Applied Artificial Intelligence Institute. Mahad is passionate about leveraging data to drive innovation and deliver impactful results. His expertise spans machine learning, deep learning, and statistical analysis, with a strong focus on MLOps and AI deployment. Mahad is also an effective communicator, capable of translating complex technical concepts for non-technical stakeholders.

Professional Profile

Scopus

Education 🎓

Mahad Rashid holds a Master of Data Science from Deakin University, Burwood (2019–2021), where he honed his skills in data analysis, machine learning, and AI. Prior to this, he completed his Bachelor of Software Engineering from the National University of Sciences and Technology, Pakistan (2014–2018), gaining a strong foundation in programming, software development, and data structures. Throughout his academic journey, Mahad demonstrated a keen interest in applying data science to solve real-world problems. He has also pursued additional certifications, including Getting Started with SAS Programming and Git and GitHub on Coursera (2024), showcasing his commitment to continuous learning and professional development.

Experience 💼

Mahad Rashid has a rich professional background spanning over six years. As a Senior Analytics Consultant at WorkSafe Victoria (2023–Present), he excels in data extraction, cleaning, and machine learning using Python and SQL. He also mentors junior consultants and creates insightful dashboards using Power BI. Previously, as a Research Engineer at the Applied Artificial Intelligence Institute, Deakin (2021–2023), he developed and deployed ML models, applied MLOps principles, and collaborated on AI research. Earlier, as a Software Engineer at CureMD, Pakistan (2018–2019), he designed machine learning applications and advanced data visualizations. Mahad’s expertise lies in leveraging data to drive innovation, improve decision-making, and deliver impactful solutions across industries.

Awards and Honors 🏆

While specific awards and honors are not explicitly mentioned in the provided profile, Mahad Rashid’s contributions to data science and AI research are evident through his publications and professional achievements. His work on high-voltage lithium cathode materials, published in ACS Applied Energy Materials (2024), highlights his involvement in cutting-edge research. Additionally, his role in mentoring junior consultants and leading analytics projects at WorkSafe Victoria underscores his recognition as a skilled and reliable professional. Mahad’s commitment to continuous learning, evidenced by his certifications in SAS and Git, further reflects his dedication to excellence in the field of data science.

Research Focus 🔍

Mahad Rashid’s research focuses on applying machine learning, deep learning, and AI to solve complex problems across various domains. His work includes developing and deploying ML models for classification, regression, and image detection, as well as applying MLOps principles to streamline data science workflows. He has also contributed to research on high-voltage lithium cathode materials using Bayesian optimization and first-principles studies, showcasing his interdisciplinary expertise. Mahad is passionate about leveraging data-driven approaches to improve business operations, enhance customer experiences, and drive innovation. His research interests extend to data visualization, statistical analysis, and AI-driven decision-making, with a strong emphasis on delivering practical, impactful solutions.

Publication Top Notes 📚

  1. High-Voltage, High Capacity Aluminum-Rich Lithium Cathode Materials: A Bayesian Optimization and First-Principles Study – ACS Applied Energy Materials, 2024.

Conclusion 🌟

Mahad Rashid is a highly skilled and passionate data science professional with a strong academic background and extensive industry experience. His expertise in data analysis, machine learning, and AI, combined with his ability to communicate complex ideas effectively, makes him a valuable asset to any organization. Mahad’s commitment to innovation, continuous learning, and delivering impactful results positions him as a leader in the field of data science and analytics.