Prof. Dr. Lavinia Denisia Cuc | Digital Transformation in Accounting and Auditing | Research Excellence Award

Prof. Dr. Lavinia Denisia Cuc | Digital Transformation in Accounting and Auditing | Research Excellence Award

Aurel Vlaicu University of Arad | Romania

Lavinia Denisia Cuc is an accomplished academic and researcher in the field of economics and accounting, known for her contributions to university education, research coordination, and multidisciplinary collaboration. She holds a Doctorate in Accounting from the Bucharest Academy of Economic Studies, complemented by master’s degrees in economic analysis, business evaluation, and accounting and business management, supported by multiple postgraduate qualifications in auditing, training, and financial analysis. Her professional experience spans over two decades in higher education, where she has served as University Assistant, Teaching Assistant, Assistant Professor, Associate Professor, and currently as a Faculty member engaged in teaching, research, and PhD supervision. She also serves as Coordinator of the Research and Consultancy Center in Economics and has significant industry experience as a procurement manager and managing partner in accounting consultancy. Her research interests focus on managerial accounting, economic-financial analysis, enterprise evaluation, and interdisciplinary approaches within social, economic, and environmental sciences. She has contributed to multiple international research projects and serves on editorial boards of several academic journals. Recognized through numerous excellence awards for scientific performance and innovation, she continues to advance high-quality research and academic leadership, fostering development, collaboration, and knowledge dissemination within the academic community.

Profile:  ORCID

Featured Publications

Cuc, L. D., Rad, D., Isac, F. L., Barbu, F. S., Joldeș, C. S. R., Gomoi, B. C., Almași, R. C., Manațe, D., & Megan, O. (2025). Mapping user perceptions of AI in accounting and auditing with the TAM—A network analysis approach. Electronics. https://doi.org/10.3390/electronics14234598

Rad, D., Cuc, L. D., Croitoru, G., Gomoi, B. C., Mazuru, L., Bilți, R. S., Rusu, S., Sinaci, M., & Barbu, F. S. (2025). Modeling investment decisions through decision tree regression—A behavioral finance theory approach. Electronics. https://doi.org/10.3390/electronics14081505

Cuc, L. D., Rad, D., Cilan, T. F., Gomoi, B. C., Nicolaescu, C., Almași, R., Dzitac, S., Isac, F. L., & Pandelica, I. (2025). From AI knowledge to AI usage intention in the managerial accounting profession and the role of personality traits—A decision tree regression approach. Electronics. https://doi.org/10.3390/electronics14061107

Runcan, R., Hațegan, V., Toderici, O., Croitoru, G., Gavrila-Ardelean, M., Cuc, L. D., Rad, D., Costin, A., & Dughi, T. (2025). Ethical AI in social sciences research: Are we gatekeepers or revolutionaries? Societies. https://doi.org/10.3390/soc15030062

Cuc, L. D., Rad, D., Saplacan, S., Sendroiu, C., Batca-Dumitru, G. C., Wysocki, D., Dutu, A., & Manolescu, A.-A. (2024). A hierarchical clustering analysis of the management accounting practices perceptions in Romania. International Journal of Computers Communications & Control, 19(6). https://doi.org/10.15837/IJCCC.2024.6.6864

Prof Dr. Shu-Hu Yin | Innovative Leadership | Research Excellence Award

Prof Dr. Shu-Hu Yin | Innovative Leadership | Research Excellence Award

Nantong University | China

Dr. Shu-Hu Yin is a distinguished researcher in electrocatalysis whose work focuses on the design of advanced interfaces and surfaces for clean energy technologies, particularly fuel cells. He earned his Ph.D. in Physical Chemistry from Xiamen University, where he developed a strong foundation in electrochemical mechanisms and catalytic material design. With extensive academic experience, he has contributed to major national research initiatives, including the National Key Research and Development Program of China, and currently leads innovative projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation. His research interests center on transition-metal single-atom catalysts, Fe/N/C systems, electrocatalytic reaction pathways, and the development of high-performance materials for proton exchange membrane fuel cells. Dr. Yin has published influential articles in high-impact journals such as Nature Communications, Advanced Materials, and Angewandte Chemie International Edition, contributing significantly to advancements in catalyst structure characterization and activity quantification. With an h-index of 17, his work is widely recognized for its novelty, rigor, and technological relevance. He continues to collaborate globally, offering expertise in electrochemical energy conversion. Dr. Yin’s career reflects a commitment to scientific excellence and to developing sustainable solutions that address global energy challenges.

Profile:  ORCID 

Featured Publications

Chen, L., Yin, S., Zeng, H., Liu, J., Xiao, X., Cheng, X., Huang, H., Huang, R., Yang, J., & Lin, W.-F., et al. (2024).
Engineering asymmetric electronic structure of cobalt coordination on CoN₃S active sites for high-performance oxygen reduction reaction. Journal of Energy Chemistry.

Cheng, X., Yin, S., Zhang, J., Yang, J., Chen, L., Wang, W., Liao, H., Huang, R., Jiang, Y., Zhang, B., et al. (2025).
Low-temperature pyrolysis: A universal route to high-loading single-atom catalysts for fuel cells. Advanced Materials.

Jiang, W.-L., Cao, S.-H., Qiu, C.-Y., Sun, H.-J., Wang, L.-N., Sheng, J.-B., Ji, L.-F., Liu, S., Ni, Z.-R., Yin, S.-H., et al. (2025).
Operando magnetic resonance imaging for visualizing electrochemical triple-phase boundary. Angewandte Chemie International Edition.

Li, G., Yin, S.-H., Ji, L.-F., Nie, X.-Y., Zhu, T., Cheng, X.-Y., Xu, J., Huang, R., Jiang, Y.-X., Zhang, B.-W., et al. (2025).
Universal electrochemical quantification of active site density in transition metal nitrogen carbon electrocatalysts. Nature Communications.

Li, Y., Yin, S., Chen, L., Cheng, X., Wang, C., Jiang, Y., & Sun, S. (2024).
Boost the utilization of dense FeN₄ sites for high-performance proton exchange membrane fuel cells. Energy and Environmental Materials.

Yin, S., Chen, L., Yang, J., Cheng, X., Zeng, H., Hong, Y., Huang, H., Kuai, X., Lin, Y., & Huang, R., et al. (2024).
A Fe–NC electrocatalyst boosted by trace bromide ions with high performance in proton exchange membrane fuel cells. Nature Communications.

Yin, S., Yi, H., Liu, M., Yang, J., Yang, S., Zhang, B.-W., Chen, L., Cheng, X., Huang, H., & Huang, R., et al. (2024).
An in situ exploration of how Fe/N/C oxygen reduction catalysts evolve during synthesis under pyrolytic conditions. Nature Communications.

Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

Multimedia University | Malaysia

Ts. Dr. Anusuyah Subbarao is an accomplished Assistant Professor with more than two decades of academic experience in Software Engineering, Computer Science, and Information Technology. She holds a PhD from Universiti Teknologi Malaysia, a Master of Science in Computer Science majoring in Software Engineering, and a Bachelor’s degree in Computer Science from Universiti Putra Malaysia. Her research interests span digital transformation, healthcare informatics, enterprise resource planning, cloud computing risks, global software development, qualitative methodologies, and digital literacy. Throughout her career, she has contributed extensively to research through journal articles, book chapters, and conference proceedings, earning numerous national and international awards for teaching, innovation, and research excellence. She has successfully secured internal and external research grants and served as a reviewer for high-impact journals. Her innovation projects have received multiple gold, silver, and bronze medals at prestigious exhibitions such as InventX and RICES. With strong expertise in digital health, social innovation, ERP adoption, and technology acceptance, she actively supports technological advancement and community empowerment through impactful research. Recognized for her dynamic communication skills and commitment to transformative education, she continues to inspire learners and professionals while advancing cutting-edge research in digital technologies.

Profiles:  ORCID

Featured Publications

Rahman, H. M. M., Islam, J., Malarvizhi, C. A. N., Khan, N., Subhan, K. M. A., & Subbarao, A. (2026). Women empowerment in war and nation building on the basis of Tahmima Anam’s trilogy. Salud, Ciencia y Tecnología.

Murugasu, U. S. G., & Subbarao, A. (2025). Empirical method for developing a hyper-personalization artifact. Engineering Applications of Artificial Intelligence.

Subbarao, A., Siddika, A., Fathullah, M. A., & Sanwani, M. A. B. (2025). The role of mobile applications in shaping digital transformation in higher education among Generation I: A bibliographic study. Information.

Tang, Y., Subbarao, A., & Aw, A. T. H. (2025). A critical review of Theory of Planned Behavior in knowledge payment. International Journal of Management, Finance and Accounting.

Subbarao, A., Khan, N., Siddika, A., Fathullah, M. A., Sanwani, M. A., Adam, F. F., Ferezagia, D. V., & Altamira, M. B. (2025). Digital transformation in higher education: Enhancing support services through mobile apps. HighTech and Innovation Journal.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers to and facilitators of technology adoption in emergency departments: A comprehensive review. International Journal of Environmental Research and Public Health.

Abd Sukor, N. I., & Subbarao, A. (2025). Unveiling the pathways: Exploring influential factors shaping intentions to engage with ChatGPT. International Journal of Management, Finance and Accounting.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers and facilitators of technology adoption in emergency departments: A comprehensive review [Preprint]. Preprints.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM technology acceptance model and unified theory of acceptance and use of technology (UTAUT) frameworks. Healthcare.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM and UTAUT frameworks [Preprint]. Preprints.

Khairuddin, I. K., & Subbarao, A. (2024). Examining the offline shopping preferences of millennial women: A comprehensive review. International Journal of Management, Finance and Accounting.

Dr. Kalpesh Popat | Computer Science | Best Researcher Award

Dr. Kalpesh Popat | Computer Science | Best Researcher Award

Marwadi University | India

Profile:  Google Scholar

Featured Publications

  • Wearable Computer Applications: A Future Perspective
    KA Popat, P Sharma
    International Journal of Engineering and Innovative Technology, 3(1), 213–217, 2013. (Citations: 52)

  • A Study of Routing Protocols for MANETs
    KA Popat, P Sharma, H Molia
    International Congress on Information and Communication Technology (ICICT), Springer Proceedings, 2016. (Citations: 7)

  • Comparative Analysis of Several Approaches of Encoding Audio Files
    LK Patil, KA Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2022. (Citations: 6)

  • Various Location Update Strategies in Mobile Computing
    K Popat, P Sharma
    International Journal of Computer Applications (IJCA), pp. 34–38, 2014. (Citations: 5)

  • A Study on Datasets, Risk Factors and Machine Learning Methods Associated with Alzheimer’s Disease
    V Gondalia, K Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2023. (Citations: 4)

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Profiles: Google Scholar | Scopus

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.

Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

Mir chakar Khan rind university of technology Dera Ghazi khan | Pakistan

Muhammad Aoun is a technology enthusiast and emerging professional with expertise in web development, database management, and cybersecurity. He has developed a solid foundation in PHP, HTML, MySQL, and Post, applying these skills in both academic and practical projects. His interests extend to machine learning, cybersecurity, and data analytics, demonstrated by his completion of multiple advanced certifications from globally recognized institutions, including Google Analytics Academy, IBM, Duke University, University of London, and CISCO. He has gained hands-on experience in advanced Google Analytics, Google Tag Manager, machine learning with Python, and foundational cybersecurity practices, including Security Operations Center (SOC) operations. Additionally, he actively participated in cybersecurity training workshops, further strengthening his technical and analytical capabilities. Aoun’s work reflects a commitment to leveraging technology for problem-solving and optimizing digital and data-driven processes. Through his ongoing pursuit of knowledge and skills in machine learning, cybersecurity, and data analysis, he is positioned to contribute effectively to technological innovation, secure systems design, and digital transformation initiatives. Recognized for his dedication and achievement in multiple domains of technology, Aoun continues to build a versatile skill set, combining web development, analytics, and cybersecurity to address contemporary challenges in IT and digital solutions.

Profile:  Google Scholar 

Featured Publications

Ahmed, U., Iqbal, K., Aoun, M., & Khan, G. (2023). Natural language processing for clinical decision support systems: A review of recent advances in healthcare. Journal of Intelligent Connectivity and Emerging Technologies, 8(2), 1–17.

Dahal, S. B., & Aoun, M. (2023). Exploring the role of machine translation in improving health information access for linguistically diverse populations. Journal of Intelligent Information Systems, 8(2), 4–6.

Idress, W. M., Abouda, K. A., Javed, R., Aoun, M., Ghadi, Y. Y., Shahzad, T., … (2025). Hybrid segmentation and 3D imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis. Biomedical Signal Processing and Control, 100, 106992.

Aoun, M., & Sandhu, A. K. (2019). Understanding the impact of AI-driven automation on the workflow of radiologists in emergency care settings. Journal of Intelligent Connectivity and Emerging Technologies, 4(6), 1–15.

Ibrahim, F., & Aoun, M. (2022). Improving query efficiency in heterogeneous big data environments through advanced query processing techniques. Journal of Contemporary Healthcare Analytics, 6(6), 40–64.

Umar, H. G. A., Yasmeen, I., Aoun, M., Mazhar, T., Khan, M. A., & Jaghdam, I. H. (2025). Energy-efficient deep learning-based intrusion detection system for edge computing: A novel DNN-KDQ model. Journal of Cloud Computing, 14(1), 32.

Mrs. Naima Rahiel | Change Management | Young Researcher Award

Mrs. Naima Rahiel | Change Management | Young Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a dedicated doctoral researcher in Industrial Engineering and Productics at ED CLI, Université Paris 8, where she has been engaged in advanced studies since January 2022. She holds both a Master’s degree and a Bachelor’s degree in Industrial Engineering from IMSI, Université Oran 2, Algeria, obtained in 2020 and 2018 respectively. Her academic journey reflects a consistent commitment to the development of expertise in industrial systems, process optimization, and innovative engineering solutions. Professionally, she has gained valuable experience through academic and applied research in industrial engineering, emphasizing areas such as production systems, operations management, and industrial productics. Her research interests lie in digital transformation of industries, sustainable manufacturing, quality management, lean systems, and the integration of advanced technologies to improve industrial performance. Rahiel has participated in collaborative projects and academic exchanges that highlight her capacity to work across interdisciplinary teams, bringing analytical skills and innovative thinking to complex industrial challenges. She has been recognized for her academic achievements and contributions to research, receiving distinctions that reflect her scholarly excellence. Moving forward, she aims to contribute to the advancement of industrial engineering research and to promote sustainable and efficient industrial practices in both academic and applied contexts.

Profile:  Google Scholar

Featured Publications

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare supply chain: Resilience qualitative evaluation. Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: A case study-based approach on safety stock. Environment Systems and Decisions, 45(4), 56.

Rahiel, N., Addouche, S. A., El Mhamedi, A., & Hachemi, K. (2025). Function-based modeling for reactive optimization of healthcare resource reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management.

Prof Xiaodong Huang| Innovative Leadership | Best Researcher Award

Prof Xiaodong Huang| Innovative Leadership | Best Researcher Award

Lanzhou University, China

Author Profile

ORCID

🌱 Early Academic Pursuits

Dr. Xiaodong Huang’s academic path is deeply rooted in a passion for environmental systems, sustainable land management, and the powerful capabilities of geographic information science. His journey began at Lanzhou University, one of China’s premier research institutions, where he earned a Bachelor of Science degree in Geographic Information Systems in 2004. This early academic focus introduced him to the theoretical and practical aspects of geospatial data, setting the foundation for a career that would blend technology with ecological insight.

Determined to deepen his expertise in natural ecosystems, he pursued a Master’s degree in Grassland Science at the College of Pastoral Agriculture Science and Technology at Lanzhou University. Graduating in 2007, he continued directly into a Ph.D. program in the same field. Significantly, his doctoral studies involved a unique academic collaboration between Lanzhou University and the Department of Geological Sciences at The University of Texas at San Antonio in the United States. This cross-continental academic experience broadened his scientific horizons and introduced him to international perspectives on environmental change, remote sensing, and landscape dynamics.

🧑‍🏫 Professional Endeavors

After completing his doctorate in 2009, Dr. Huang returned to Lanzhou University, joining the College of Pastoral Agriculture Science and Technology as a lecturer. During this period, he became actively involved in teaching, mentoring students, and developing innovative field-based and remote-sensing research projects.

In recognition of his contributions to research and education, he was promoted to Associate Professor in 2012 — a role he has held with distinction ever since. Over the years, he has played a pivotal part in advancing the university’s environmental research agenda, with a special focus on arid and semi-arid grassland ecosystems. His responsibilities have included leading major field expeditions, conducting geospatial analysis for ecological monitoring, and guiding postgraduate students through complex research on land use and climate systems.

🔬 Contributions and Research Focus

Dr. Huang’s scholarly work focuses on the intersection of climate change, grassland ecology, and geospatial technology. One of the central themes of his research is the impact of global environmental changes — particularly in relation to cryospheric processes, vegetation dynamics, and land surface temperature variation. By integrating satellite remote sensing data with ground-based field measurements, he has developed robust models for monitoring the health and sustainability of grasslands, especially in sensitive ecological zones.

Among his most notable contributions is his work on snow mapping, which utilizes both optical and passive microwave remote sensing data. This research is vital for understanding seasonal and interannual patterns in snow distribution, which in turn influence water availability, vegetation productivity, and climate feedback loops. His proficiency with geospatial tools such as ArcGIS and ERDAS has enabled him to conduct high-resolution analyses of land use change and to interpret complex remote sensing imagery with precision.

Dr. Huang is also well-known for his methodological rigor in studying land cover transformation and its ecological implications. He has contributed to research projects that explore how human activities, including overgrazing and agricultural expansion, influence grassland degradation — offering practical recommendations for restoration and policy intervention.

🏆 Accolades and Recognition

Though specific awards and honors are not listed in public records, Dr. Huang’s steady academic advancement and his role in international collaborations underscore a reputation built on competence and commitment. His selection to pursue joint doctoral studies in China and the United States speaks volumes about his scholarly promise and the high regard in which he is held by academic institutions across borders.

His promotion to Associate Professor within a few years of earning his doctorate is another indicator of peer recognition and institutional trust in his capabilities. He has likely received internal grants, led departmental initiatives, and participated in national and regional environmental programs that benefit from his specialized knowledge.

🌍 Impact and Influence

Dr. Huang’s research holds significant practical value for addressing ecological challenges in grassland regions, particularly those impacted by climate extremes and human intervention. His work contributes to better decision-making in resource management, environmental planning, and climate resilience. By training young scholars and researchers in GIS, remote sensing, and environmental monitoring, he is nurturing a new generation of scientists equipped to tackle global sustainability issues.

On a broader scale, his insights into the cryosphere and snow coverage play a role in understanding regional climate systems, particularly in relation to Asia’s mountainous and plateau landscapes, which are often underrepresented in global datasets.

🔮 Legacy and Future Contributions

As environmental pressures mount due to climate change and land degradation, Dr. Huang’s expertise is more relevant than ever. His continued research in remote sensing and land cover dynamics will be critical for developing adaptive strategies in pastoral and agricultural regions. Looking to the future, he is well-positioned to lead interdisciplinary projects that bridge environmental science with data technology, contributing to international efforts in sustainable development and ecosystem monitoring.

With a legacy rooted in scientific integrity, educational leadership, and environmental stewardship, Dr. Xiaodong Huang stands as a committed scholar whose work leaves a lasting imprint on the landscape of climate and ecological research.

📝Notable Publications

Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS

Authors: Anwei Liu, Tao Che, Xiaodong Huang, Liyun Dai, Jing Wang, Jie Deng
Journal: Remote Sensing
Year: 2022

 An Overview of Remote Sensing for Mountain Vegetation and Snow Cover

Authors: Xiaohua Hao, Hongyi Li, Xufeng Wang, Xiaoyan Wang, Xiaodong Huang, Jian Bi
Journal: Remote Sensing
Year: 2022

Point-to-Surface Upscaling Algorithms for Snow Depth Ground Observations

Authors: Yingxu Hou, Xiaodong Huang, Lin Zhao
Journal: Remote Sensing
Year: 2022

Visualizing the Urban Network Constructed by the Most Innovative Enterprises in China

Authors: Haitao Ma, Xiaodong Huang
Journal: OpenAlex (DataCite entry)
Year: 2022

 Alpine Grassland Reviving Response to Seasonal Snow Cover on the Tibetan Plateau

Authors: Ying Ma, Xiaodong Huang, Qisheng Feng, Tiangang Liang
Journal: Remote Sensing
Year: 2022

Mr. Jawad Mahroof | Transformational Leadership | Best Researcher Award

Mr. Jawad Mahroof | Transformational Leadership | Best Researcher Award

Fatima Jinnah Women University, Pakistan

Author Profile

Google Scholar 

🎓 Early Academic Pursuits

Jawad Mahroof’s academic foundation is marked by a strong interdisciplinary orientation, rooted in business, accounting, and leadership. He holds a Bachelor of Business Administration (BBA) with Honors in Supply Chain Management, which provided him with essential insights into procurement, logistics, and strategic sourcing. He further pursued an M.Phil. in Leadership and Management Studies from the National Defense University, Islamabad. His thesis focused on Digital Transformation and Change Management, showcasing his keen interest in organizational development and emerging technologies. His consistent academic performance, evidenced by a CGPA of 3.55, reflects not only academic excellence but also a commitment to understanding contemporary challenges in management and leadership.

💼 Professional Endeavors

Jawad’s professional journey is as diverse as it is impactful. Starting his early career in the United Kingdom, he worked as an Accounts Assistant at Customs Clearance Services Centre, and later as an Accountant at KBM Accountants and Auditors. These roles provided him practical exposure to accounting systems like Sage Line 50 and QuickBooks, while also enhancing his analytical, financial, and regulatory compliance skills in a multicultural environment.

From 2008 to 2012, Jawad served as a Section Coordinator at Marks & Spencer, where he managed a team of 25 staff members, showcasing his leadership, team management, and customer service capabilities in a high-demand retail environment. Upon returning to Pakistan, he took on the role of Manager Finance at Road Rage, Islamabad (2016–2022), where he oversaw procurement, logistics, and financial operations—blending his financial acumen with operational oversight.

In his transition to academia, Jawad has contributed as a Visiting Lecturer at the University of Health Sciences, Islamabad, and Fatima Jinnah Women University, Rawalpindi, where he currently teaches ICT, Public Procurement, and Entrepreneurship. His classes integrate modern digital tools and focus on applied learning, thus equipping students with real-world skills relevant to the public and private sectors.

📚 Contributions and Research Focus

Jawad Mahroof’s intellectual pursuits have centered around digital transformation, ICT in education, and public procurement systems. His research, including his M.Phil. thesis, delves into how organizations can adapt to digital disruption and foster change readiness. As a lecturer, he has been instrumental in integrating digital tools into curriculum delivery, particularly in the field of entrepreneurship—guiding students in developing viable, tech-driven business models. His teaching reflects a balance of theoretical frameworks and practical application, especially within the realm of e-governance, procurement reforms, and digital capacity building in the public sector.

He is also known for mentoring students on business development projects and encourages innovation-led thinking in the classroom. His dual exposure to industry and academia enhances his pedagogical strategies and ensures relevance in rapidly evolving sectors.

🏆 Accolades and Recognition

Jawad’s entrepreneurial spirit and forward-thinking mindset have been acknowledged in multiple national platforms. Notably:

🏅 LIFT Pakistan Entrepreneurial Challenge 2019: Presented a SMART Traffic Management idea, reflecting his tech-savvy approach to urban challenges.

🏅 Annual Business Plan Competition 2018: Recognized for his project on Digitalizing Local Brands, demonstrating his dedication to promoting indigenous enterprise through innovation.

🧠 Invited speaker in seminars such as “Trends in HRM”, contributing thought leadership in human resource dynamics and digital adaptation.

🌍 Impact and Influence

Jawad’s influence extends beyond the classroom. His industry experience in finance, accounting, and retail operations, combined with his academic pursuits, allows him to mentor students and young professionals with practical insights and foresight. By promoting the adoption of ICT in education and business, he advocates for a digitally empowered workforce. His teaching approach encourages collaboration, creativity, and strategic thinking, contributing to capacity building in academic institutions.

Moreover, his leadership roles in operational teams, especially at Marks & Spencer and Road Rage, illustrate his ability to foster collaboration, align teams toward shared goals, and improve performance efficiency.

🌟 Legacy and Future Contributions

Jawad Mahroof is poised to become a significant contributor to Pakistan’s academic and public policy landscapes, particularly in digital governance, e-procurement, and entrepreneurial education. His blend of local and international experience, along with his academic rigor, positions him to spearhead initiatives focused on curriculum modernization, digital literacy, and policy integration for public sector innovation.

Looking forward, Jawad aims to pursue further research in blockchain in public procurement, AI-driven learning platforms, and digital competency frameworks for educators. His potential to bridge the gap between academic theory and industrial practice ensures his growing relevance in both educational institutions and policy forums.

📝Notable Publications

Developing Digital Leadership Practices in Military: A Way Forward

Authors: J. Mahroof, R. Javaid
Journal: ISSRA Papers
Year: 2024
Volume/Issue: 16 (1)

Talent Management During Digital Transformation: Role of Transformational Leadership and Resistance to Change

Authors: J. Mahroof, D.A. Rafi
Journal: [Not specified — please confirm or insert journal name]
Year: 2024

Prof Hongze Zhao | Innovative Leadership | Best Academic Researcher Award

Prof Hongze Zhao | Innovative Leadership | Best Academic Researcher Award

China University of Mining and Technology-Beijing, China

Author Profile

Scopus

🌱 Early Academic Pursuits

Hongze Zhao embarked on his academic journey with a strong foundation in mining engineering. He earned his Bachelor’s degree in Mine Construction Engineering from Xi’an University of Science and Technology in 2000. Driven by a passion for enhancing safety and technology in the mining industry, he pursued his Master’s degree in Safety Technology and Engineering from China University of Mining & Technology (Beijing) in 2004. His commitment to excellence in this field led him to complete a Ph.D. in Mining Engineering at the same prestigious institution in 2012, solidifying his expertise in the domain.

🚀 Professional Endeavors

Hongze Zhao’s career began with a critical industry role as a Project Manager at Beijing Longruan Software Science and Technology Co., LTD, from 2009 to 2014. This experience allowed him to integrate his academic knowledge with practical applications, particularly in the area of mining software and technology.

Following his industrial experience, Zhao transitioned to academia as a Lecturer at China University of Mining & Technology (Beijing) in 2012. His dedication and expertise quickly propelled him to the position of Associate Professor in 2015. In this capacity, he has made significant contributions to teaching, mentoring, and research in mining engineering.

🔬 Contributions and Research Focus

Hongze Zhao’s research primarily focuses on four critical areas within the mining sector:

  1. Opencast Mining Process Optimization: He explores advanced techniques for enhancing the efficiency and safety of open-pit mining operations.
  2. Rock Slope Engineering: His work in this area ensures the stability of mining slopes, preventing catastrophic failures.
  3. Mine Informatization and Virtual Reality Technology: Zhao is at the forefront of integrating digital technologies and virtual simulations to improve mine management and safety training.
  4. Safety Evaluation and Risk Control of Coal Mines: He develops innovative frameworks and methodologies for assessing and mitigating risks in coal mining operations.

🌟 Accolades and Recognition

Over the years, Hongze Zhao has earned recognition for his contributions to the field of mining engineering. His innovative research, industry experience, and commitment to education have established him as a respected figure in the mining sector. He has received numerous awards and accolades for his teaching and research excellence, underscoring his impact on both students and the industry.

🌐 Impact and Influence

Hongze Zhao’s influence extends beyond the classroom. His research on mine safety, optimization, and virtual reality has not only advanced academic knowledge but also provided practical solutions to industry challenges. His work has been widely cited, and he has collaborated with industry partners to ensure the practical application of his research findings.

🌏 Legacy and Future Contributions

As an Associate Professor and an expert in mining engineering, Hongze Zhao continues to shape the next generation of mining engineers. His focus on digital transformation, safety, and sustainable mining practices ensures that his work remains relevant in an evolving industry. In the coming years, he aims to further his research in mine safety and digitalization, leaving a lasting impact on the mining sector.

📝Notable Publications

 Research on Evolution Model of Road Network for Self-Driving Truck in Open-Pit Mine

Authors: H. Zhao (Hongze Zhao), W. Zheng (Wen), B. Qin (Boqiang), G. Zhao (Guanghui), P. Guo (Pei)
Journal: Computers and Industrial Engineering
Year: 2025

 Research on Slope Stability Prediction Based on MC-BKA-MLP Mixed Model

Authors: Y. Lu (Yan), H. Zhao (Hongze Zhao)
Journal: Applied Sciences (Switzerland)
Year: 2025