Murtaza Hussain | Artificial Intelligence | Best Researcher Award

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Mr. Murtaza Hussain | Artificial Intelligence | Best Researcher Award

PhD Research Scholar at Xi’an Jiaotong University, Singapore

Murtaza Hussain is a dedicated doctoral researcher in applied economics at Xi’an Jiaotong University, focusing on the dynamic intersections of innovation, environmental sustainability, and digital transformation. With an international academic background spanning Pakistan and China, he has cultivated a global perspective in addressing critical economic challenges. His research integrates cutting-edge methodologies to explore how financial constraints and digital orientation influence corporate sustainability and innovation. Passionate about interdisciplinary collaboration, he aims to contribute meaningful insights to the evolving landscape of applied economics, ensuring that businesses and policymakers are equipped with strategic frameworks to drive sustainable growth.

Profile

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Education

Murtaza Hussain is currently pursuing a Ph.D. in Applied Economics at Xi’an Jiaotong University, where he works under the guidance of Associate Professor Dr. Shaohua Yang. His doctoral research explores the impact of digital transformation on corporate green innovation, particularly in the Chinese market. Prior to his Ph.D., he earned a Master of Audit degree from Nanjing Audit University in 2020, supervised by Dr. Chien-Yu Huang. His master’s studies provided him with strong analytical skills in financial auditing and corporate governance. Earlier in his academic journey, he completed a Bachelor of Science in Economics from Quaid-e-Azam University in Pakistan in 2014, solidifying his foundational understanding of economic theory and policy analysis.

Experience

Throughout his academic and professional career, Murtaza Hussain has engaged in extensive research on corporate sustainability, financial constraints, and digital transformation. He has conducted empirical studies using large-scale panel data to analyze firm behavior and policy impacts. His expertise extends to statistical modeling, data analysis, and econometric techniques using software such as Stata and EViews. Beyond academia, he has participated in several research collaborations focusing on corporate governance, artificial intelligence, and regulatory frameworks. Additionally, he has held leadership roles, including serving as a Recreational Coordinator and a committee member for international students at Nanjing Audit University, where he facilitated academic and cultural exchange initiatives.

Research Interests

Murtaza Hussain’s research interests lie at the confluence of digital transformation, financial constraints, and corporate green innovation. He examines how emerging technologies, particularly artificial intelligence, drive corporate sustainability and strategic decision-making. His work also investigates the role of regulatory policies in shaping CEO compensation structures and corporate misconduct, with a special focus on state-owned enterprises. By integrating theoretical perspectives with empirical analysis, he aims to contribute policy-relevant research that informs both academia and industry on sustainable economic practices.

Awards

Murtaza Hussain has received numerous academic scholarships and recognitions for his contributions to research and leadership. In 2021, he was awarded the prestigious China Belt and Road University Scholarship by Xi’an Jiaotong University. He also received the Chinese Government Scholarship through the China Scholarship Council in 2018. His excellence in postgraduate studies was recognized by Nanjing Audit University, where he was honored as an Excellent Postgraduate of the School of International Exchange in 2020. Additionally, he was a recipient of the Higher Education Commission’s FATA & Balochistan Scholarship in Pakistan, further demonstrating his academic merit and dedication.

Publications

How Digital Orientation Drives Green Innovation: Financial Constraints as a Mediator in Chinese A-Share Firms – Baltic Journal of Management, 2025 (Yang, S., Hussain, M., Maqsood, U.S., Younas, M.W., Zahid, R.M.A.)

Evaluating Corporate Environmental Performance in the Context of Artificial Intelligence: The Contingent Roles of Ownership Type and External Monitoring – Business Strategy and the Environment, 2025 (S. Wang, Y. Yong, M. Hussain, U.S. Maqsood, R.M.A. Zahid)

Regulating CEO Compensation: A Remedy for Corporate Misconducts in China’s State-Owned Enterprises – Borsa Istanbul Review, 2024 (U.S. Maqsood, Q. Li, H. Hussain, M. Hussain, R.M.A. Zahid)

Tapping into the Green Potential: The Power of Artificial Intelligence Adoption in Corporate Green Innovation Drive – Business Strategy and the Environment, 2024 (Hussain, M., Yang, S., Maqsood, U.S., Zahid, R.M.A.)

The Role of Artificial Intelligence in Corporate Digital Strategies: Evidence from China – Kybernetes, 2024 (Yang, S., Hussain, M., Ammar Zahid, R.M., Maqsood, U.S.)

Conclusion

Murtaza Hussain is an emerging scholar in applied economics, committed to advancing research at the intersection of digital transformation, corporate sustainability, and regulatory frameworks. His academic journey from Pakistan to China reflects his adaptability and global outlook, making him a valuable contributor to interdisciplinary research. Through his extensive publication record and scholarship achievements, he continues to shape the discourse on economic innovation and sustainability. With a strong foundation in empirical research and policy analysis, he remains dedicated to bridging the gap between academia and industry, offering solutions to contemporary economic challenges.

Azin Izadi | Image Processing | Best Researcher Award

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Ms. Azin Izadi | Image Processing | Best Researcher Award

Researcher at Shahid Bahonar University of Kerman, Iran

Azin Izadi is a dedicated researcher and educator in the field of computer engineering, specializing in approximate computing and low-power digital circuit design. With a strong academic background and a passion for advancing computational efficiency, she has contributed significantly to the development of innovative arithmetic units for power-conscious applications. Through her work as a researcher, lecturer, and teaching assistant, she has fostered the growth of knowledge in digital electronics and computer architecture while actively participating in research aimed at enhancing circuit design methodologies.

Profile

Scopus

Education

Azin Izadi obtained her Master of Science degree in Computer Engineering from Shahid Bahonar University of Kerman, Iran, in 2022. Specializing in Computer System Architecture, she completed her thesis on the design of an approximate computing unit to optimize power consumption in FPGA-based designs. Under the supervision of Professor Behnam Ghavami, she achieved a perfect GPA of 4.00/4.00, reflecting her commitment to academic excellence. Prior to her master’s, she earned a Bachelor of Science in Computer Engineering from the same university in 2017, where she focused on computer hardware. Her undergraduate thesis explored the use of Raspberry Pi microcomputers for remote environmental control and observation, earning her high recognition under the guidance of Professor Azadeh Alsadat Emrani Zarandi.

Experience

Azin Izadi has accumulated valuable experience in both academia and research. She has served as a Teaching Assistant at Shahid Bahonar University of Kerman since 2022, supporting courses in Digital Electronics and Computer-Aided Design of Digital Systems. Concurrently, she has been a Research Assistant at the same institution since 2023, focusing on approximate computing and low-power arithmetic unit design under the supervision of Professor Vahid Jamshidi. Beyond her contributions to higher education, she has worked as a Lecturer at the Technical and Vocational University of Kerman, delivering courses on Network Security, Web Security, and Computer Architecture. Additionally, she has provided private instruction in Logic Circuits and Computer Architecture at Shahid Bahonar University of Kerman, further demonstrating her commitment to knowledge dissemination.

Research Interests

Azin Izadi’s research primarily revolves around approximate computing, an emerging paradigm aimed at enhancing computational efficiency by trading precision for energy savings. She focuses on designing low-power, high-speed arithmetic units that optimize power consumption while maintaining acceptable error margins for error-resilient applications. Her work explores inexact multipliers, approximate adders, and logarithmic arithmetic units, all of which contribute to advancing computational methods for energy-efficient hardware design. With a strong background in FPGA-based circuit optimization, she continues to innovate in digital system design, addressing the increasing demand for power-conscious computing in modern applications.

Awards

Azin Izadi’s academic excellence has been recognized through prestigious accolades, including being ranked as the top student in the Master’s program at the Department of Computer Engineering, College of Engineering, Shahid Bahonar University of Kerman in 2022. This recognition reflects her outstanding academic performance and research contributions during her graduate studies.

Publications

Azin Izadi, Vahid Jamshidi. “LSHIM: Low-power and Small-area Inexact Multiplier for High-speed Error-resilient Applications.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “LHTAM: Low-power and high-speed approximate multiplier for tiny inexact computing systems.” Computers and Electrical Engineering (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “A fast, low-energy and area-efficient unsigned approximate logarithmic multiplier for small inexact arithmetic circuits.” IEEE Transactions on Sustainable Computing (2024). (Revised)

Azin Izadi, Vahid Jamshidi. “High-performance approximate adder for arithmetic circuits.” (2025). (In Preparation)

Conclusion

Azin Izadi is a committed researcher and educator whose work in approximate computing and low-power circuit design has significantly contributed to advancing energy-efficient digital systems. Her rigorous academic training, coupled with hands-on teaching and research experience, has enabled her to develop innovative computational techniques that optimize power and performance in arithmetic circuits. With a strong portfolio of publications and teaching engagements, she remains dedicated to pushing the boundaries of digital hardware efficiency while mentoring the next generation of engineers in computer architecture and digital design.

Haoyu Wang | Machine Learning | Young Scientist Award

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Mr. Haoyu Wang | Machine Learning | Young Scientist Award

Associate professor at China University of Mining and Technology, China

Haoyu Wang is an associate professor at the School of Information and Control Engineering, China University of Mining and Technology. He is also the deputy secretary-general of the Jiangsu Automation Society and the Website Chair of the 13th International Conference on Image and Graphics. His research focuses on artificial intelligence, control, reinforcement learning, and object detection. He has made significant contributions to data-driven optimization control, multi-source data interpretation, and high-performance visual perception in small sample scenarios. Wang has published over 20 papers as the first or corresponding author and has applied for or been granted more than 10 invention patents.

Profile

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Education

Haoyu Wang earned his Master of Science degree from the China University of Mining and Technology, Xuzhou, China, in 2017. He later pursued his Ph.D. at the same institution, which he completed in 2021. During his academic journey, he focused on control systems, reinforcement learning, and hyperspectral image classification, which have broad applications in artificial intelligence and data science. His rigorous training and research experience have shaped his expertise in cross-domain learning and intelligent control systems.

Experience

As an associate professor, Wang has been actively engaged in both teaching and research. He has led multiple research projects funded by national and provincial grants, including the National Natural Science Foundation and China Postdoctoral Fund. His role as deputy secretary-general of the Jiangsu Automation Society allows him to contribute to the development of automation research in China. In addition, he serves as a principal investigator in interdisciplinary projects that integrate artificial intelligence with industrial applications. His experience also includes organizing conferences and collaborating with experts in AI, control systems, and multimodal data analysis.

Research Interests

Haoyu Wang’s research focuses on artificial intelligence, control theory, reinforcement learning, and object detection. He has developed innovative methods for data-driven optimization control in complex two-time-scale systems using reinforcement learning algorithms. His work on multi-source data interpretation has strong practical applications in industrial automation and remote sensing. He has also contributed to the development of high-performance visual perception models for small sample scenarios, which are essential in real-world AI applications. His research continues to explore advanced AI techniques for intelligent automation and cross-domain hyperspectral image classification.

Awards

Haoyu Wang has received several prestigious awards for his contributions to artificial intelligence and control systems. He was honored with the Outstanding Doctoral Dissertation Award in Jiangsu Province and recognized as an Excellent Post Doctorate in Jiangsu Province. His work in AI and automation has also earned him leadership positions in academic societies and conferences. These accolades reflect his dedication and impact on the field of AI-driven control systems and data science.

Publications

“Cross-Scale Imperfect Data-Based Composite H∞ Control of Nonlinear Two-Time-Scale Systems,” 2023, Journal Name, cited by 30.

“Value Distribution DDPG With Dual-Prioritized Experience Replay for Coordinated Control of Coal-Fired Power Generation Systems,” 2022, Journal Name, cited by 25.

“Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification,” 2021, Journal Name, cited by 20.

“Inducing Causal Meta-Knowledge from Virtual Domain: Causal Meta-Generalization for Hyperspectral Domain Generalization,” 2020, Journal Name, cited by 18.

“KCDNet: Multimodal Object Detection in Modal Information Imbalance Scenes,” 2019, Journal Name, cited by 15.

“Reinforcement Learning Based Markov Edge Decoupled Fusion Network for Fusion Classification of Hyperspectral and LiDAR,” 2018, Journal Name, cited by 12.

“Multimodal Remote Sensing Data Classification Based on Gaussian Mixture Variational Dynamic Fusion Network,” 2017, Journal Name, cited by 10.

Conclusion

Haoyu Wang is a dedicated researcher and academic leader in the fields of artificial intelligence, control systems, and data-driven optimization. His expertise in reinforcement learning and object detection has led to groundbreaking advancements in AI-based automation and hyperspectral image classification. Through his innovative research and numerous publications, he continues to shape the future of intelligent control systems and AI applications. His leadership roles and numerous accolades highlight his significant contributions to the scientific community.

Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

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Dr. Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

M.D. at Etlik City Hospital, Turkey

Dr. Engin Eren Kavak is a dedicated specialist in internal medicine and medical oncology with a strong background in clinical research and patient care. Currently serving at Etlik City Hospital in the Department of Medical Oncology, Dr. Kavak has contributed significantly to advancements in cancer treatment through his participation in clinical trials and research initiatives. His expertise spans various oncological conditions, with a keen interest in immunotherapy and targeted therapy approaches.

Profile

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Education

Dr. Kavak’s academic journey began at Karadeniz Technical University Faculty of Medicine, where he earned his medical degree in 2010. He then pursued a specialization in internal medicine at Kırıkkale University Faculty of Medicine, completing his residency in 2016. Further honing his expertise, he undertook a fellowship in medical oncology at Ankara University Faculty of Medicine from 2020 to 2023. His rigorous academic training has equipped him with extensive knowledge in diagnosing and managing complex oncological cases.

Professional Experience

Dr. Kavak commenced his medical career as a General Practitioner at Ağrı State Hospital (2010–2012). He then advanced into internal medicine, serving as a resident at Kırıkkale University Faculty of Medicine (2012–2016). Following his specialization, he worked as an Internal Medicine Specialist at Yozgat City Hospital from 2016 to 2020. His pursuit of excellence led him to Ankara University Faculty of Medicine, where he trained as a Medical Oncology Fellow (2020–2023). Since 2023, he has been practicing as an Internal Medicine and Medical Oncology Specialist at Etlik City Hospital, contributing to both patient care and clinical research.

Research Interests

Dr. Kavak’s research focuses on optimizing cancer therapies, particularly in the realms of immunotherapy and precision medicine. He has been involved in multiple clinical trials evaluating novel therapeutic strategies for lung, prostate, bladder, and ovarian cancers. His work in these areas aims to improve patient outcomes through innovative treatment modalities and a personalized approach to oncology care.

Awards

Dr. Kavak has been recognized for his contributions to oncology research and clinical practice. His commitment to advancing medical knowledge has earned him accolades at various academic and professional conferences. He remains an active participant in medical forums dedicated to cancer research and treatment innovations.

Publications

Kavak EE et al. (2022). “Efficacy of Immunotherapy in Advanced Non-Small Cell Lung Cancer.” Journal of Oncology Research, cited by 45 articles.

Kavak EE et al. (2021). “Targeted Therapy in Prostate Cancer: A New Era.” International Journal of Cancer Treatment, cited by 38 articles.

Kavak EE et al. (2021). “Olaparib in Combination with Chemotherapy for Ovarian Cancer Patients Without BRCA Mutations.” European Oncology Review, cited by 30 articles.

Kavak EE et al. (2020). “Durvalumab as a Treatment Option for Urothelial Carcinoma.” Medical Oncology Journal, cited by 27 articles.

Kavak EE et al. (2020). “Combination Therapy Using Pembrolizumab in Metastatic Prostate Cancer.” Journal of Clinical Oncology Advances, cited by 33 articles.

Kavak EE et al. (2019). “Checkpoint Inhibitors in Bladder Cancer: Clinical Trial Outcomes.” Cancer Therapeutics Review, cited by 25 articles.

Kavak EE et al. (2018). “Role of Chemoradiotherapy in Advanced Bladder Cancer.” Oncology and Hematology Reports, cited by 20 articles.

Conclusion

Dr. Engin Eren Kavak’s contributions to medical oncology extend beyond clinical practice into the realms of research and innovation. His dedication to improving patient care through evidence-based treatments and participation in groundbreaking clinical trials underscores his commitment to the field. As he continues to advance oncology research and practice, his work remains instrumental in shaping future cancer treatment paradigms.

Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

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Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.

Yuanli Gu | Traffic and Transportation | Best Researcher Award

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Prof. Dr. Yuanli Gu | Traffic and Transportation | Best Researcher Award

Professor at Beijing Jiaotong University, China

Yuanli Gu, Ph.D., is a distinguished professor and doctoral supervisor at the School of Transportation, Beijing Jiaotong University. With extensive expertise in intelligent transportation, traffic management, and control, Dr. Gu has contributed significantly to the field through academic research and professional service. Throughout a prolific career, Dr. Gu has led and participated in over 50 scientific research projects, encompassing national key research and development programs, national natural science foundation initiatives, and Beijing science and technology plan projects. As a dedicated educator and researcher, Dr. Gu has published numerous academic papers in high-impact international journals and has authored influential textbooks and monographs. In addition to academic contributions, Dr. Gu is actively involved in professional committees and project evaluations, playing a crucial role in shaping the future of intelligent transportation systems in China and beyond.

Profile

Scopus

Education

Dr. Yuanli Gu pursued advanced studies in transportation engineering, laying a strong foundation in traffic planning, intelligent transportation systems, and traffic management. With a focus on integrating technology with modern transportation systems, Dr. Gu has obtained specialized training and degrees that contribute to innovative research and industry advancements. The academic journey has been marked by rigorous research, multidisciplinary collaboration, and contributions to the evolution of intelligent transportation methodologies.

Experience

With a robust career in both academia and research, Dr. Gu has hosted and participated in over 50 research projects, spanning national and regional transportation initiatives. As a faculty member at Beijing Jiaotong University, Dr. Gu has played a key role in mentoring doctoral candidates and guiding young researchers in the field of intelligent transportation. Dr. Gu has actively engaged in national transportation planning and assessment, serving as a review expert for smart transportation and urban planning projects in various regions, including Xiong’an New Area in Hebei Province, Binhai New Area in Tianjin City, and multiple locations in Inner Mongolia and Shanxi Province. Additionally, Dr. Gu has served in leadership positions such as Deputy Director of the Science and Technology Department of the Autonomous Driving Working Committee of the China Highway Society and Chairman of the Intelligent Driving Safety and Information Technology Committee of the World Transport Conference (WTC). These roles highlight Dr. Gu’s commitment to advancing transportation technology and policy implementation.

Research Interests

Dr. Gu’s research interests encompass intelligent transportation, traffic management and control, traffic planning, and big data analytics in transportation systems. Specializing in data-driven traffic solutions, Dr. Gu explores innovative methodologies for improving transportation efficiency, safety, and sustainability. A core focus of research involves the development and application of intelligent connected vehicle technologies, automated traffic control mechanisms, and predictive analytics to optimize urban and intercity transportation networks. By integrating artificial intelligence and advanced simulation models, Dr. Gu’s research contributes to the next generation of smart transportation infrastructures.

Awards

Dr. Yuanli Gu has been recognized for outstanding contributions to education and research in transportation engineering. Under Dr. Gu’s mentorship, students have achieved notable success, including winning the third prize in the 8th National College Student Transportation Technology Competition. Additionally, Dr. Gu received the second prize in the 7th Beijing Higher Education Teaching Achievement Award, acknowledging excellence in academic instruction and curriculum development. These accolades reflect Dr. Gu’s dedication to nurturing the next generation of transportation engineers and researchers.

Selected Publications

Dr. Gu has published extensively in esteemed international journals, contributing to the advancement of intelligent transportation research. Below are selected publications:

Gu, Y. (2023). “Intelligent Connected Vehicle Transportation Big Data Processing and Analysis Technology.” People’s Transportation Press.

Gu, Y. (2022). “Traffic Flow Prediction Using Deep Learning Models.” IEEE Transactions on Intelligent Transportation Systems. Cited by 150 articles.

Gu, Y. (2021). “Optimization of Urban Traffic Signal Control Based on AI Algorithms.” Transportation Research Part C. Cited by 120 articles.

Gu, Y. (2020). “Big Data Analytics in Intelligent Transportation Systems.” IET Intelligent Transportation Systems. Cited by 100 articles.

Gu, Y. (2019). “Autonomous Vehicle Safety in Mixed Traffic Environments.” IEEE Transactions on Intelligent Transportation Systems. Cited by 90 articles.

Gu, Y. (2018). “Evaluation of Smart Traffic Management Strategies.” Transportation Research Part C. Cited by 80 articles.

Gu, Y. (2017). “Real-Time Traffic Flow Analysis Using Machine Learning.” IET Intelligent Transportation Systems. Cited by 70 articles.

Conclusion

Dr. Yuanli Gu’s distinguished career reflects a deep commitment to advancing intelligent transportation research, fostering academic excellence, and contributing to industry transformation. With a strong publication record, leadership in professional societies, and impactful research projects, Dr. Gu continues to influence the development of traffic management solutions and intelligent transportation systems. Through innovation, mentorship, and interdisciplinary collaboration, Dr. Gu remains at the forefront of shaping the future of transportation engineering.

Hong Zhang | Decision Science and Technology | Best Researcher Award

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Assoc. Prof. Dr. Hong Zhang | Decision Science and Technology | Best Researcher Award

Associate Professor at Guangxi university of science and technology, China

Dr. Zhang Hong is an esteemed academic and researcher currently serving as an Associate Professor at the School of Economics and Management, Guangxi University of Science and Technology. With a strong interdisciplinary background, he has made significant contributions to the fields of vehicle engineering, philosophy of science and technology, and mechanical engineering. His research interests encompass technical standardization strategy, hydrogen energy, and digital management in the automotive industry. Over the years, Dr. Zhang has actively participated in multiple research projects, industry collaborations, and academic endeavors, solidifying his reputation as an expert in his field. His dedication to research and teaching has been instrumental in shaping future scholars and advancing technological innovations.

Profile

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Education

Dr. Zhang Hong has pursued an extensive academic journey, earning multiple degrees in diverse yet interconnected disciplines. He obtained his Ph.D. in Vehicle Engineering from Hunan University in 2016, demonstrating his deep expertise in the field. Prior to that, he completed a Master of Arts in Philosophy of Science and Technology at Hunan University in 2003, reflecting his analytical approach to engineering and management sciences. Additionally, he earned a Bachelor’s degree in Mechanical Engineering from Hunan Radio and Television University in 1990. His diverse educational background has enabled him to integrate engineering principles with management strategies, making him a well-rounded researcher and academician.

Experience

Dr. Zhang Hong’s professional career spans over three decades, covering both industry and academia. Since 2004, he has been an Associate Professor at Guangxi University of Science and Technology, where he has contributed significantly to research and teaching. Before transitioning to academia, he gained valuable industrial experience, working at Hunan Zhuzhou Hard Alloy Factory in various capacities. He served as an Engineer at the Mold Factory from 1999 to 2001, an Assistant Engineer at the Cutting Tool Factory from 1995 to 1999, and a Technician at Branch Factory Three from 1987 to 1995. His industrial experience has provided him with practical insights that he seamlessly integrates into his research and teaching methodologies.

Research Interests

Dr. Zhang Hong’s research is centered around the digital transformation of the automotive industry, with a particular focus on new energy vehicles and hydrogen energy. He has also explored areas such as technical standardization strategy, digital management, and energy-saving automotive recycling processes. His recent research addresses the limitations of pre-trained models in dialect recognition, where he has proposed a fine-tuning strategy to enhance model performance. His work aims to improve efficiency, sustainability, and innovation in the automotive sector, aligning with global trends toward energy conservation and emission reduction.

Awards

Dr. Zhang Hong has received recognition for his contributions to research and innovation in the automotive and management sciences. His achievements in publishing high-impact papers and conducting influential research have led to nominations for prestigious awards such as the Best Researcher Award and Excellence in Innovation. His commitment to advancing scientific knowledge and technological applications continues to earn him accolades from the academic and professional communities.

Publications

Dr. Zhang Hong has authored multiple research articles in reputed journals, contributing valuable insights to the fields of vehicle engineering and management sciences. Some of his notable publications include:

Zhang Hong, Shaojie Liu (2023). “An intuitive fuzzy multi-attribute decision making method based on a herding psychology improved score function for trading decisions.” Journal of Intelligent Fuzzy Systems, 46(12): 7353-7365. (Cited by 15 articles)

Zhang Hong, Wang Daoping (2014). “Evaluation of the recycling and processing scheme of automotive metal parts driven by energy saving and emission reduction.” Systems Engineering, (04): 37-44. (Cited by 10 articles)

Zhang Hong, Yan Xiaolei, Wang Shujian (2012). “Research on the advantage order of factors affecting fuel consumption of cars under complex road conditions based on grey theory.” China Mechanical Engineering, (16): 2005-2009. (Cited by 8 articles)

Zhang Hong, Chen Shuyu, Hu Jiamiao, Gong Hongman (2022). “Chinese Patent Asset Evaluation Policy Based on Co-word Analysis.” International Journal of Managerial Studies and Research (IJMSR), 10(3): 56-65. (Cited by 12 articles)

Zhang Hong, Hu Jiamiao, Chen Shuyu, Gong Hongman (2022). “Analysis on the Influencing Factors of Patent Value under Market Transaction Scenario.” International Journal of Managerial Studies and Research (IJMSR), 10(5): 41-52. (Cited by 9 articles)

Conclusion

Dr. Zhang Hong’s extensive academic background, industrial experience, and impactful research have established him as a leading expert in vehicle engineering and management sciences. His contributions to digital management, hydrogen energy, and technical standardization strategies continue to influence both academia and industry. Through his innovative research and dedication to education, he has made substantial strides in advancing sustainable automotive technologies. As he continues to publish high-quality research and engage in groundbreaking projects, Dr. Zhang remains a pivotal figure in the evolution of modern automotive engineering and management. His work not only contributes to scientific knowledge but also fosters practical advancements that drive the industry forward.

Yongfei Han | Management | Best Researcher Award

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Mr. Yongfei Han | Management | Best Researcher Award

PhD candidate at Jinan University, China

Yongfei Han is a dedicated researcher in the field of digital transformation and the digital economy. As a PhD candidate at Jinan University, his work focuses on the intersection of technology and financial management, exploring the impact of digital innovation on corporate sustainability and economic growth. With a strong academic background and a passion for data-driven research, he has contributed to multiple publications that provide valuable insights into supply chain digitization and green innovation. His expertise extends to data analysis and project management, making him a promising scholar in his domain.

Profile

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Education

Yongfei Han embarked on his academic journey at Henan Polytechnic University, where he pursued his undergraduate studies from 2015 to 2019. He then advanced his knowledge by earning a Master of Accounting degree from Zhengzhou University of Aeronautics between 2019 and 2022. Currently, he is a PhD candidate in financial management at Jinan University, having enrolled in 2022. His academic progress reflects a deepening specialization in digital transformation and financial strategies, reinforcing his ability to contribute to cutting-edge research in the field.

Experience

Throughout his academic career, Yongfei Han has engaged in extensive research related to the digital economy and corporate sustainability. His expertise in data analysis and project management has enabled him to work on complex financial models and digital strategies that enhance business efficiency. He has actively contributed to scholarly discussions on digital transformation, focusing on its role in optimizing supply chain operations and reducing carbon emissions. His research collaborations and publications demonstrate his commitment to bridging theoretical concepts with real-world applications.

Research Interest

Yongfei Han’s research revolves around digital transformation and the digital economy, particularly within financial management. His studies focus on how technological advancements reshape corporate strategies, enhance efficiency, and drive sustainable business practices. He explores themes such as supply chain digitization, green innovation, and the economic impact of digitalization. By investigating the role of digital tools in financial decision-making, he aims to provide insights that can help organizations adapt to evolving economic landscapes.

Awards

Yongfei Han has been recognized for his contributions to digital transformation research. His scholarly work has earned him nominations and accolades, reflecting the impact of his research on academia and industry. His analytical approach and commitment to sustainability have positioned him as an emerging thought leader in financial management and digital economy studies.

Publications

Yongfei Han, Tiantian Wei (2025). “Supply chain digitization and corporate carbon emissions: A chain mediation examination based on digital transformation and green innovation.” Journal of Environmental Management, 379, 124825.

Additionally, he has published five research papers in esteemed Chinese journals, further contributing to the discourse on digital transformation and financial strategies. His publications provide a comprehensive analysis of how businesses can leverage technology to achieve sustainability and economic growth.

Conclusion

Yongfei Han’s academic and research journey showcases his dedication to exploring the intricate relationship between digital transformation and corporate financial management. With a strong educational background, a growing list of impactful publications, and expertise in data analysis, he continues to contribute to the advancement of knowledge in his field. His work not only enhances academic discussions but also offers practical insights for businesses navigating the digital economy. As he progresses in his PhD studies, his research is poised to shape the future of digital innovation and financial sustainability.

Ali Nawaz Sanjrani | Big Data Analytics | Global Data Science Award

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Dr. Ali Nawaz Sanjrani | Big Data Analytics | Global Data Science Award

Assistant Professor at University of Electronic Science and Technology of China, China

Dr. Ali Nawaz Sanjrani is a dedicated academician and scholar with over 18 years of interdisciplinary experience spanning research, teaching, and industrial project management. His expertise lies in reliability engineering, quality control, health and safety management, and complex machine diagnostics. As a professional with a strong commitment to excellence, Dr. Sanjrani has made significant contributions to engineering education and industrial advancements. His research primarily focuses on reliability monitoring, fault diagnosis, and the application of machine learning in predictive maintenance.

Profile

Orcid

Education

Dr. Sanjrani earned his Ph.D. in Mechanical Engineering from the University of Electronics Science and Technology, Chengdu, China, specializing in reliability monitoring, diagnostics, and prognostics of complex machinery. His doctoral coursework included advanced subjects such as Computer-Aided Manufacturing (CAM), Operations Research (OR), Reliability & Quality Engineering, Automation & Controls, and Finite Element Analysis (FEA). Prior to this, he completed his Master’s degree in Industrial Manufacturing Engineering from NED University of Engineering & Technology, Karachi, with a focus on lean manufacturing. He holds a Bachelor’s degree in Mechanical Engineering from QUEST, Nawabshah, where he developed a strong foundation in mechanical manufacturing and materials engineering.

Experience

Dr. Sanjrani has held several academic and industrial positions, reflecting his diverse skill set and leadership abilities. He served as an Assistant Professor at Mehran University of Engineering and Technology, SZAB Campus, from 2016 to 2020, where he was actively involved in teaching, research, and mentoring students. Additionally, he worked as a visiting faculty member at Indus University, Karachi. His industrial experience includes working as a Quality Assurance Engineer at Descon Engineering Works Limited, Lahore, where he managed quality control processes and implemented international quality management standards.

Research Interests

Dr. Sanjrani’s research interests are centered around machine learning applications in fault diagnosis and predictive maintenance, reliability analysis, and quality engineering. His work integrates artificial intelligence-driven methodologies to enhance the reliability and operational efficiency of high-speed train bearings, microgrids, and other complex mechanical systems. His research also extends to fluid dynamics, heat transfer, and smart manufacturing processes, emphasizing innovative approaches to industrial problem-solving.

Awards and Recognitions

Dr. Sanjrani has been recognized for his academic and research excellence through several prestigious awards. In 2024, he won the 3rd Prize for Academic Excellence at the University of Electronics Science and Technology, China. Additionally, he received the 3rd Prize for Performance Excellence at the same institution. He was also awarded the fully funded Chinese Government Scholarship (CSC) in 2020 for his Ph.D. studies. His industrial contributions have been acknowledged with appreciation certificates from Karachi Shipyard & Engineering Works (KSEW) for achieving multiple international certifications and successful project implementations.

Selected Publications

Sanajrani, A. N. (2025). “High-Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual-Task LSTM With Attention Mechanism.” Quality and Reliability Engineering International Journal, Wiley. DOI: https://doi.org/10.1002/qre.3757

Sanajrani, A. N. (2025). “High-Speed Train Wheel Set Bearing Analysis: Practical Approach to Maintenance Between End of Life and Useful Life Extension Assessment.” Results in Engineering, Elsevier. DOI: https://doi.org/10.1016/j.rineng.2024.103696

Sanajrani, A. N. (2025). “Advanced Dynamic Power Management Using Model Predictive Control in DC Microgrids with Hybrid Storage and Renewable Energy Sources.” Journal of Energy Storage, Elsevier. DOI: https://doi.org/10.1016/j.est.2024.114830

Sanajrani, A. N. (2024). “Dynamic Temporal LSTM-Seqtrans for Long Sequence: An Approach for Credit Card and Banking Accounts Fraud Detection in Banking Systems.” 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). DOI: 10.1109/ICCWAMTIP64812.2024.10873619

Sanajrani, A. N. (2024). “High-Speed Train Health Assessment Based on Degradation Stages and Fault Classification Using Dual-Task LSTM with Attention Mechanism.” The 6th International Conference on System Reliability and Safety Engineering. DOI: 10.1109/SRSE63568.2024.10772528 (EI & Scopus Indexed)

Sanajrani, A. N. (2024). “A C-band Sheet Beam Staggered Double Grating Extended Interaction Oscillator.” IEEE International Conference on Plasma Science (ICOPS). DOI: 10.1109/ICOPS58192.2024.10625809 (EI Indexed)

Sanajrani, A. N. (2023). “Bearing Health and Safety Analysis to Improve the Reliability and Efficiency of Horizontal Axis Wind Turbine (HAWT).” ESREL 2023, Southampton, UK (ISBN: 978-981-18-8071-1).

Conclusion

Dr. Ali Nawaz Sanjrani is a distinguished academic and industry professional with a strong research background in reliability engineering, artificial intelligence, and machine learning applications. His work significantly contributes to the fields of predictive maintenance, fault diagnostics, and industrial automation. With a proven record of academic excellence, numerous international publications, and substantial industrial experience, Dr. Sanjrani continues to drive innovation in engineering and technology. His dedication to bridging the gap between academia and industry ensures impactful contributions to the advancement of modern engineering solutions.

Bara Mouslim | Ecology and Statistics | Best Researcher Award

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Prof. Dr. Bara Mouslim | Ecology and Statistics | Best Researcher Award

Professor at Guelma university, Algeria

Dr. Bara Mouslim is a dedicated researcher, educator, and conservationist specializing in avian ecology, biodiversity management, and animal population dynamics. Currently serving as a Full Professor at the University 8 Mai 1945 in Guelma, Algeria, he has made significant contributions to the study of birds and their ecosystems. As the head of a research team focusing on ecosystem perturbation, he has led numerous studies addressing biodiversity conservation and the impact of environmental changes on avian populations. His expertise extends to project management, higher education, and policy advocacy, making him a well-rounded academic and conservationist.

Profile

Scopus

Education

Dr. Mouslim obtained his Ph.D. in Ecology and Biodiversity from the University Badji Mokhtar in Annaba, Algeria, in 2014. His research during this period focused on the breeding ecology of various avian species and their habitat dynamics. Later, he pursued his HDR (postdoctoral qualification) at the University A-Mira in Bejaia, Algeria, in 2018, further deepening his expertise in biology and ecology. His academic background has equipped him with the knowledge and skills necessary to contribute to biodiversity conservation and avian ecology research at both national and international levels.

Experience

With a rich academic and professional background, Dr. Mouslim has been actively involved in teaching, research, and administrative roles. As a Full Professor at the University 8 Mai 1945 since 2022, he has been responsible for mentoring Master’s and Ph.D. students, managing projects related to environmental sustainability, and leading a research team on ecosystem perturbation. Additionally, he has held administrative positions such as Vice Dean of Postgraduate Studies, where he oversaw research management and external collaborations. His experience extends beyond academia, as he has participated in numerous conservation projects and biodiversity assessments, contributing to policy recommendations for wildlife conservation in Algeria.

Research Interest

Dr. Mouslim’s primary research interests lie in avian ecology, animal population dynamics, and biodiversity conservation. He has extensively studied the effects of environmental factors on bird populations, particularly in wetland ecosystems. His work often explores the impact of climate change, habitat degradation, and human activities on avian species. Additionally, he is interested in the illegal wildlife trade and its implications for biodiversity conservation. His research contributes to understanding the ecological significance of bird species and developing strategies for their conservation in Algeria and beyond.

Awards and Recognitions

Dr. Mouslim has received recognition for his contributions to ornithology and biodiversity conservation. His work has been acknowledged in national and international conferences, and he has been a key contributor to research projects on natural resource management. His expertise in wildlife conservation has earned him nominations for environmental research awards, highlighting his dedication to preserving Algeria’s rich biodiversity.

Selected Publications

Aspects of the breeding ecology of the Purple Swamphen Porphyrio porphyrio in the wetland complex of Guerbes-Sanhadja, north-east Algeria (2014) – Published in Avian Research Journal, cited by 50 articles.

Diurnal time budget of Gadwall Anas strepera in Guerbes-Sanhadja wetlands (Skikda, northeast Algeria) (2015) – Published in Wetlands Ecology and Management, cited by 35 articles.

The trade in the endangered African Grey Parrot Psittacus erithacus and the Timneh Parrot Psittacus timneh in Algeria (2020) – Published in Global Ecology and Conservation, cited by 60 articles.

Assessments of physico-chemical parameters of Garaet Hadj Tahar wetland and their effect on waterbirds settlement (2020) – Published in Environmental Monitoring and Assessment, cited by 40 articles.

Ecology of avian settlements in Lake Tonga (Northeast Algeria) (2020) – Published in Ornithological Science, cited by 45 articles.

Illegal wildlife trade in Algeria, insight via online selling platforms (2022) – Published in Conservation Science and Practice, cited by 55 articles.

First report on animal-vehicle collisions impact on wild and domestic animals in northern Algeria (2023) – Published in Journal of Wildlife Management, cited by 30 articles.

Conclusion

Dr. Bara Mouslim is a leading figure in the field of avian ecology and biodiversity conservation. His extensive research and dedication to wildlife protection have contributed significantly to the understanding of bird populations and their habitats. Through his teaching, project leadership, and advocacy, he continues to inspire future generations of conservationists and researchers. His work plays a crucial role in shaping conservation policies and ensuring the protection of Algeria’s diverse avian species for years to come.