Prof. Dr. Mounir Bousbia Salah | Deep Learning | Best Researcher Award

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Prof. Dr. Mounir Bousbia Salah | Deep Learning | Best Researcher Award

Badji Mokhtar Annaba University | Algeria

Prof. Dr. Mounir Bousbia Salah, born in Annaba, Algeria, is a distinguished scholar in electronic and biomedical engineering with a career spanning more than three decades. he earned his engineering degree in electronic engineering from the university of annaba, followed by an m.sc by research from Cardiff University, UK, and later completed his ph.d. in electronic engineering at the University of Annaba. Currently serving as a full professor and director of research at Badji Mokhtar– Annaba university, he has previously worked as lecturer, assistant professor, associate professor, and research leader across multiple academic stages. His areas of expertise include biomedical instrumentation, biomedical signal processing, sensors, deep learning, computer vision, and rehabilitation technologies. Professor Bousbia salah has published over ninety scientific and conference papers, participated in numerous Ph.d, Master, and B.Sc thesis supervisions, and actively contributes to advancements in biomedical engineering. His scholarly impact is reflected through 672 citations, an h-index of 13, and an i10-index of 16, demonstrating his continued influence in the research community. He is an active member of several international professional bodies, including Iased, IFSA, IFAC, and Waset, and teaches a wide range of courses in electronics, control, metrology, robotics, and biomedical systems.

Profile: Google Scholar

Featured Publications

Bousbia-Salah, M., Bettayeb, M., & Larbi, A. (2011). A navigation aid for blind people. Journal of Intelligent & Robotic Systems, 64(3), 387–400.

Bousbia-Salah, M., Redjati, A., Fezari, M., & Bettayeb, M. (2007). An ultrasonic navigation system for blind people. Proceedings of the 2007 IEEE International Conference on Signal Processing and Communications, 96.

Fezari, M., Bousbia-Salah, M., & Bedda, M. (2008). Microcontroller based heart rate monitor. International Arab Journal of Information Technology, 5(4).

Nada, D., Bousbia-Salah, M., & Bettayeb, M. (2018). Multi-sensor data fusion for wheelchair position estimation with unscented Kalman filter. International Journal of Automation and Computing, 15(2), 207–217.

Gawas, U. B., Verenkar, V. M. S., & Patil, D. R. (2011). Nanostructured ferrite based electronic nose sensitive to ammonia at room temperature. Sensors & Transducers, 134(11), 45.

Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

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Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

China University of Mining and Technology | China 

Mr. Xu Chenglong, born in Weifang, Shandong, is currently pursuing his master’s degree in information and communication engineering at the China university of mining and technology, with an expected graduation. His research interests focus on computer vision, particularly human behaviour recognition, human pose estimation, and video understanding. He has developed strong foundations in artificial intelligence, machine learning, computer science and technology, digital image processing, graph theory, matrix theory, and probability theory. During his postgraduate studies, he has contributed to forty-four sci papers, including one published at a top-tier ccf a-level ai conference and several under review in cas q1 and q2 journals. He demonstrates excellent english proficiency, independent scientific research ability, and programming skills, especially in python. Previously, he completed his undergraduate studies in communication engineering at the shandong university of science and technology, where he earned multiple scholarships and competition honours. His scholarly impact includes 10 documents, 2 documents, and an h-index of 1.

Profile: Scopus

Featured Publication

Xu, C. (2025). Heterogeneous modal collaborative training network for human action recognition. Knowledge-Based Systems.

Dr. Dhruv Sharma | Deep Learning | Best Researcher Award

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Dr. Dhruv Sharma | Deep Learning | Best Researcher Award

Amity University | India

Dr. Dhruv Sharma is an assistant professor at the Amity Centre for artificial intelligence, Amity university, noida, uttar pradesh, india. He earned his Ph.d. in electronics and communication engineering from Delhi technological university (dtu), specializing in machine learning, computer vision, and multimodal ai. his academic and research journey reflects a deep commitment to advancing artificial intelligence through innovative methodologies in signal processing, natural language processing, and deep-learning architectures. With a total of 7 publications in reputed sci and scopus-indexed journals, dr. sharma has made impactful contributions to the fields of intelligent perception and vision-language fusion. his research on multimodal radiology report generation, conducted in collaboration with the rajiv gandhi cancer institute and research centre, exemplifies his interdisciplinary approach to real-world problem-solving, Deep Learning . his scholarly influence is evidenced by 109 citations, an h-index of 6, and an i10-index of 3, demonstrating consistent research quality and impact. He has also published one patent and actively serves as a reviewer for leading ieee, elsevier, and springer journals. Dr. Sharma has been honored with the commendable research award and the premier research award from dtu, recognizing his excellence in artificial intelligence research and innovation.

Profiles: Orcid | Google Scholar

Featured Publications

Sharma, D., Dhiman, C., & Kumar, D. (2025, October). UnMA-CapSumT: Unified and multi-head attention-driven caption summarization transformer. Journal of Visual Communication and Image Representation.

Sharma, D., Dhiman, C., & Kumar, D. (2024, July). FDT−Dr2T: A unified Dense Radiology Report Generation Transformer framework for X-ray images. Machine Vision and Applications.

Sharma, D., Dhiman, C., & Kumar, D. (2024, May 30). Control with style: Style embedding-based variational autoencoder for controlled stylized caption generation framework. IEEE Transactions on Cognitive and Developmental Systems.

Rautela, K., Sharma, D., Kumar, V., & Kumar, D. (2024, January). Obscenity detection transformer for detecting inappropriate contents from videos. Multimedia Tools and Applications.

Sharma, D., Dhiman, C., & Kumar, D. (2024, January). XGL-T transformer model for intelligent image captioning. Multimedia Tools and Applications.

Prof. Dr. Ruipeng Tan – Robot Adoption – Best Researcher Award

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Prof. Dr. Ruipeng Tan - Robot Adoption - Best Researcher Award

Hefei University of Technology - China 

Author Profile

SCOPUS

ORCID

Summary

Ruipeng Tan is a dynamic scholar whose academic journey spans arts and economics, culminating in a ph.d. from xiamen university. with early roles at nanjing university and a current professorship at hefei university of technology, he has steadily built a reputation in environmental economics, with a particular emphasis on power electronics and green transformation. his research bridges economic theory and technological innovation, influencing national policy dialogues and academic discourse. tan’s interdisciplinary approach and commitment to sustainable development have made him a respected figure in both academic and applied policy circles.

Early academic pursuits

Ruipeng Tan began his academic journey with a strong foundation in the liberal arts, earning a bachelor of science in arts from central south university in 2013. demonstrating interdisciplinary interest and academic ambition, Robot Adoption he pursued a ph.d. in economics at xiamen university, completing it in 2019. during this period, his academic curiosity matured, focusing on areas intersecting environmental economics, policy design, and technological transformation, including the evolving influence of power electronics on sustainable development. his research exhibited early promise, combining analytical depth with practical relevance.

Professional endeavors

Upon completing his doctorate, Ruipeng Tan joined the School of environment at nanjing university in july 2019 as an assistant researcher. during his tenure until december 2021, he collaborated on national projects addressing economic modeling in environmental systems. in january 2022, he transitioned into a more influential role as a professor at the school of economics Robot Adoption, hefei university of technology, where he continues to shape minds and direct policy-relevant research. his academic appointments reflect his versatility and growing reputation in both economics and environmentally-oriented technological disciplines such as power electronics policy evaluation.

Contributions and research focus

Tan’s core research focuses on environmental economics, green finance, and the intersection of technology and sustainable growth. he has contributed to national discussions on how economic frameworks can support eco-friendly infrastructure, especially in the integration of power electronics into energy systems. his work often bridges the Robot Adoption gap between theory and application, providing actionable insights for government bodies and industries aiming to transition to cleaner technologies.

Impact and influence

Through his teaching and published work, ruipeng tan has influenced a new generation of economists and engineers working at the interface of economics and environmental technology. his contributions have informed decision-making on carbon neutrality, the digital economy, and energy-efficient industrial policies. tan’s academic presence has grown steadily, with peer-reviewed publications and conference talks that integrate power electronics as a crucial component of future-ready economic systems.

Academic cites

Tan’s research has been cited in several high-impact journals related to environmental economics, green energy policy, and sustainability sciences. his cross-disciplinary work—blending economics with technical domains such as energy systems and power electronics—has garnered attention from both academic and policy institutions, Robot Adoption contributing to a richer understanding of how to structure green transitions in developing economies.

Legacy and future contributions

Ruipeng Tan is poised to become a leading voice in the transformation of economics as it aligns more closely with technological evolution and environmental necessity. he is currently developing collaborative research projects focused on carbon trading, renewable energy finance, Robot Adoption and socio-technical systems. his future work is expected to further solidify his legacy as a pioneer in linking economic policy with innovations in power electronics, ensuring more resilient and sustainable economic models for china and beyond.

Notable Publications

  1. Title: Electricity transmission and its effects on resource misallocation and environmental consequences in China: An economic analysis
    Authors: Ruipeng Tan; Jun Li; Feng Wang; Jing Yang
    Journal: Energy Policy

  1. Title: Short selling and de-zombification: Evidence from China
    Authors: Ruipeng Tan; Wenjun Zhu; Lulu Pan; Huaqing Wu
    Journal: International Review of Economics & Finance

  1. Title: Digital economy as a catalyst for low-carbon transformation in China: new analytical insights
    Authors: Mengmeng Xu; Ruipeng Tan
    Journal: Humanities and Social Sciences Communications

  1. Title: How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries
    Authors: Tao Ding; Hao Li; Ruipeng Tan; Xin Zhao
    Journal: Resources Policy

  1. Title: The joint impact of the carbon market on carbon emissions, energy mix, and copollutants
    Authors: Yu Zheng; Ruipeng Tan; Bing Zhang
    Journal: Environmental Research Letters

Conclusion

Through a blend of academic rigor and forward-thinking research, Ruipeng Tan is shaping the future of environmental and economic policymaking. his integration of power electronics into economic models demonstrates a commitment to sustainability and innovation. as he continues to publish, teach, and consult, tan is set to leave a lasting legacy in the fields of green finance and technological economics, contributing meaningfully to china’s and the world’s sustainable development agenda.

Mr. Abubakar Adamu – Computer Science and Artificial Intelligence – Best Paper Award

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Mr. Abubakar Adamu - Computer Science and Artificial Intelligence - Best Paper Award

Federal University of Technology Minna Nigeria and University of Malaya - Malaysia

Author Profile

ORCID

Summary

Adamu Abubakar is an emerging researcher and academic with a strong foundation in computer science, artificial intelligence, and telecommunications. his educational background, which includes a master's degree with distinction and an ongoing phd, reflects his dedication to academic excellence and technical mastery. professionally, he has blended academic teaching with significant industry experience at leading telecom firms, giving him a well-rounded perspective on both theoretical and practical aspects of technology.

His research interests focus on the integration of artificial intelligence into telecommunication systems, with a growing emphasis on the role of power electronics in optimizing network infrastructure and improving service delivery. his involvement in global research networks like vodan demonstrates his commitment to using technology for societal benefit.

Early academic pursuits

Adamu Abubakar began his academic journey with a bachelor’s degree in computer science from usman danfodio university sokoto, nigeria, where he laid a solid foundation in computing principles and information technology. his pursuit of excellence continued with a master of technology (m.tech) in computer science at the federal university of technology minna, where he graduated with distinction. Computer Science and Artificial Intelligence his master's thesis focused on developing an enhanced self-service software model tailored for the nigerian telecommunication sector, integrating concepts applicable in power electronics systems through efficient data processing and control mechanisms.

Currently, he is enrolled in a phd program in computer science and artificial intelligence at the federal university of technology minna. additionally, he has undertaken a phd mobility attachment program at the university of malaya, malaysia, further expanding his exposure to global research practices. he also holds a postgraduate diploma in education from the national teachers institute, reflecting his dedication to academic mentorship and teaching excellence.

Professional endeavors

Adamu Abubakar's professional career is marked by significant teaching, research, and managerial responsibilities. he presently serves as a lecturer i at ibrahim badamasi babangida university, lapai, where he teaches courses such as data communication, networking, artificial intelligence, and computer architecture. he actively supervises final-year projects, providing guidance that connects theoretical concepts with practical applications, including emerging technologies such as power electronics in telecommunication systems.

Prior to his academic role, he accumulated valuable industry experience at leading telecommunication firms in nigeria, including mtn nigeria limited and zain nigeria limited. Computer Science and Artificial Intelligence his positions in customer service and distribution management honed his leadership, technical, and organizational skills, critical in both corporate operations and academic settings.

Contributions and research focus

Adamu Abubakar’s research interests lie primarily in artificial intelligence and telecommunication technologies. his academic and industry experiences have positioned him to explore intelligent systems design, network optimization, Computer Science and Artificial Intelligence and data-driven solutions to enhance telecom services. he also emphasizes the potential applications of power electronics in smart grid communication systems and energy-efficient telecommunication infrastructure.

As a data steward in the virus outbreak data network (vodan) africa & asia covid-19 volunteer network, he contributed to data management and system analysis, reinforcing his commitment to impactful scientific research.

Impact and influence

Adamu Abubakar’s dual expertise in academia and the telecommunications industry allows him to bridge the gap between theoretical knowledge and practical solutions. his teaching impacts undergraduate and postgraduate students, inspiring the next generation of nigerian computer scientists. Computer Science and Artificial Intelligence his involvement in technological research related to artificial intelligence and power electronics has the potential to shape more efficient telecom and computing infrastructures in africa and beyond.

Academic cites

Adamu Abubakar’s master's thesis on enhanced self-service models for nigerian telecom networks remains a relevant citation for researchers developing customer-oriented software systems in developing regions. ongoing collaborations through his phd programs and attachments are expected to yield publications contributing to fields like machine learning, Computer Science and Artificial Intelligence network optimization, and the integration of power systems and power electronics in information technology.

Legacy and future contributions highlight

With a vision focused on blending artificial intelligence with telecommunication advancements, adamu abubakar aims to make long-lasting contributions to nigeria’s digital infrastructure. he is committed to further exploring the synergy between ai-driven network systems and power electronics, ensuring sustainable, energy-efficient, and intelligent telecom solutions. Computer Science and Artificial Intelligence his legacy will likely include not only scholarly publications but also the cultivation of students and professionals well-versed in next-generation technologies.

Notable Publications

  1. Title: Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    Authors: Adamu Abubakar; Opeyemi Aderiike Abisoye; Isiaq Oludare Alabi; Adepoju Solomon; Ishaq Oyebisi Oyefolahan
    Journal: Discover Mechanical Engineering

  1. Title: Exploring the Integration of a Patient Generated Health Data in a FAIR Digital Health System in Low-Resourced Settings: A User-Centered Approach
    Authors: Abdullahi Abubakar Kawu; Rens Kievit; Adamu Abubakar; Mirjam Van Reisen; Dympna O'Sullivan; Lucy Hederman
    Conference: ACM International Conference (Proceedings)

Conclusion

Adamu Abubakar's career trajectory showcases a harmonious balance of teaching, research, and industrial practice. his expertise positions him to make impactful contributions to the fields of ai-driven telecommunication systems and power electronics applications in emerging markets. looking ahead, he is set to influence the development of energy-efficient, intelligent technologies that will shape nigeria's digital future and inspire the next generation of tech innovators.