Victor R.L. Shen | Computer Science | Best Researcher Award

Prof. Dr. Victor R.L. Shen | Computer Science | Best Researcher Award

National Taipei University | Taiwan

Prof. Dr. Victor R. L. Shen is a highly accomplished scholar and Professor Emeritus in the Department of Computer Science and Information Engineering at National Taipei University, Taiwan. With an extensive academic background, including a Ph.D. in Computer Science from National Taiwan University, he has dedicated decades to advancing research and education in artificial intelligence, Petri net theory, fuzzy logic, cryptography, e-learning systems, IoT, and intelligent computing. Over his distinguished career, he has published 78 documents that collectively received 840 citations across 696 sources, earning him an h-index of 15, reflecting both the depth and impact of his contributions. Beyond his prolific research, Prof. Shen has held prominent academic leadership positions, including Dean, Chairman, and CEO roles at National Taipei University and Ming Chi University of Technology, shaping academic programs and fostering innovation. His global recognition includes visiting professorships, membership in leading professional organizations such as IEEE, ACM, and IET, and numerous prestigious awards for teaching, research, and innovation. With sustained contributions in smart systems, advanced computing, and AI-driven education, Prof. Shen continues to influence the global academic community, leaving a legacy of excellence in both research and pedagogy.

Profiles : Scopus | Orcid

Featured Publications

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Lin, Y.-C. (2025). Petri net modeling and analysis of an IoT-enabled system for real-time monitoring of eggplants. Systems Engineering.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Jheng, W.-S. (2025). A novel IoT-enabled system for real-time monitoring home appliances using Petri nets. IEEE Canadian Journal of Electrical and Computer Engineering.

Chang, J.-C., Chen, S.-A., & Shen, V. R. L. (2024). Smart bird identification system based on a hybrid approach: Petri nets, convolutional neural and deep residual networks. Multimedia Tools and Applications, 83(12), 34795–34823.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Tung, Y.-C., & Lin, J.-F. (2024). A novel IoT-enabled system for real-time face mask recognition based on Petri nets. IEEE Internet of Things Journal, 11(4), 6992–7001.

Yang, C.-Y., Lin, Y.-N., Wang, S.-K., Shen, V. R. L., & Lin, Y.-C. (2024). An edge computing system for fast image recognition based on convolutional neural network and Petri net model. Multimedia Tools and Applications, 83(5), 12849–12873.

Yang, C.-Y., Hwang, M.-S., Tseng, Y.-W., Yang, C.-C., & Shen, V. R. L. (2024). Advancing financial forecasts: Stock price prediction based on time series and machine learning techniques. Applied Artificial Intelligence, 38(1), 1–24.

Lin, Y.-N., Wang, S.-K., Chiou, G.-J., Yang, C.-Y., Shen, V. R. L., & Su, Z. Y. (2023). Development and verification of an IoT-enabled air quality monitoring system based on Petri nets. Wireless Personal Communications, 131(1), 63–87.*

 

Abhijeet Das | Environmental Science | Excellence in Environmental Sustainability Research

Dr. Abhijeet Das | Environmental Science | Excellence in Environmental Sustainability Research

C.V. Raman Global University | India

Dr. Abhijeet Das is a distinguished researcher in Water Resource Engineering, with expertise spanning watershed hydrology, hydrological modeling, climate change impact assessment, water quality control, machine learning, and geoinformatics. He has authored 89 documents that have collectively garnered 205 citations across 103 documents, reflecting an h-index of 8, underscoring his growing academic influence. With over a decade of combined experience in teaching, consultancy, and research, he has actively contributed to international collaborative projects in Saudi Arabia, Tunisia, South Africa, the UK, USA, Oman, Syria, and Lebanon, focusing on sustainable water management, GIS applications, and machine learning-driven environmental assessments. His prolific research output is complemented by more than 30 patents filed/published in areas such as artificial intelligence, IoT-based water quality systems, waste management, and sustainable environmental technologies. In addition, Dr. Das has published several books covering civil engineering, wastewater management, artificial intelligence in education, research methodology, and cancer biology. His work has been recognized through multiple “Best Paper Awards,” international speaking invitations, and honors such as the “Inspiring Educator Award” and “Research Excellence Award.” Serving as a reviewer for leading international journals, he continues to advance interdisciplinary solutions addressing hydrological extremes, climate resilience, and sustainable resource management.

Profiles : Scopus | Orcid

Featured Publications

Das, A. (2025). An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.

Das, A. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment. [Journal name not specified].

Das, A. (2025). A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. Discover Sustainability.

Das, A. (2025). Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. Desalination and Water Treatment.

Das, A. (2025). Bioplastics: A sustainable alternative or a hidden microplastic threat? Innovative Infrastructure Solutions.

Das, A. (2025). Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis. Desalination and Water Treatment.

Das, A. (2025). Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India). Environmental Monitoring and Assessment.

Das, A. (2025). Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India. Journal of Hydrology Regional Studies.

Ding  Jia | Engineering | Best Researcher Award

Dr. Ding  Jia | Engineering | Best Researcher Award

CCTEG Xian Research Institute (Group) Co, Ltd. | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Ding Jia’s academic journey began with a strong foundation in mineral processing engineering, which provided him with a deep understanding of geological systems and mining processes. His early studies nurtured an interest in the environmental challenges associated with resource extraction, motivating him to further explore the complexities of geological engineering. Building upon this foundation, he pursued advanced training in geological engineering at both national and international institutions, where he refined his technical expertise and developed a global perspective on mining-related research challenges. These formative years instilled a blend of scientific rigor and practical insight that continue to shape his work today.

Professional Endeavors

Throughout his career, Dr. Ding Jia has actively engaged in high-level research and development projects addressing critical issues in mining and water resources. His professional endeavors include participation in major national research programs and collaborative projects focused on mine water management, groundwater contamination, and subsidence caused by resource extraction. He has worked extensively on experimental data analysis, numerical modeling, and the development of innovative techniques to mitigate environmental risks in mining regions. By combining theoretical studies with field-based applications, he has contributed practical solutions to challenges that affect both industry operations and local communities.

Contributions and Research Focus

Dr. Ding Jia’s primary research interests lie at the intersection of mining, groundwater, and environmental sustainability. His work has focused on overburden damage and surface subsidence caused by mining activities, water quality pollution resulting from groundwater rebound, and the mechanisms of water mixing during long-distance transport. He has developed advanced simulation models and analytical frameworks to better understand fluid dynamics, grouting failures, and groundwater contamination processes. These contributions not only enrich academic discourse but also provide actionable knowledge for managing mining-induced environmental impacts, particularly in regions dependent on safe groundwater resources.

Accolades and Recognition

His academic excellence and research achievements have been recognized through multiple awards and honors. From his early master’s studies through his doctoral research, Dr. Ding Jia consistently earned recognition as an outstanding student and scholar. Prestigious national academic scholarships and repeated commendations for leadership and research performance highlight his dedication to academic and professional growth. These accolades testify not only to his scholarly output but also to his leadership qualities, which have been evident throughout his academic journey. Such recognition underscores the significance of his contributions to geological engineering and environmental management.

Impact and Influence

The impact of Dr. Ding Jia’s work extends beyond the laboratory and into the broader scientific and industrial communities. His publications in internationally recognized journals address urgent environmental and geological challenges, and his findings have provided new perspectives on managing mining-induced water problems. By exploring innovative methods of water quality analysis, subsidence control, and mine water source identification, he has influenced both academic research and practical approaches to sustainable mining practices. His role in developing methods that integrate data processing, statistical modeling, and computational tools has further enhanced the way researchers and practitioners approach complex geological issues.

Legacy and Future Contributions

Looking forward, Dr. Ding Jia’s legacy is being shaped by his continuous pursuit of innovative solutions in mining-related environmental challenges. His future contributions are expected to expand in scope, integrating global research collaborations, advanced computational modeling, and interdisciplinary approaches. With his strong grounding in both field applications and theoretical frameworks, he is poised to advance sustainable practices in geological engineering while addressing pressing concerns of water safety and environmental protection. His work is likely to play a key role in developing new frameworks for resource management that balance industrial growth with ecological preservation.

Publication


Article: Comparative Study on Prediction Methods for Water Inflow in Regional High-Intensity Water Inrush Mine Clusters: A Case Study of Xiaozhuang Coal Mine
Authors: Ding J, Dong S, Guo X, Liu B
Journal: Applied Sciences
Year: 2025


Article: A Study of Interbedded Groundwater Contamination in a Mining Area and the Process of Grouting Composite Failure
Authors: Ding J, Dong D, Hu Z, et al.
Journal: Mine Water and the Environment
Year: 2023


Article: Spatial evolution analysis of groundwater chemistry, quality, and fluoride health risk in southern Hebei Plain, China
Authors: Zhang Longqiang, Dong Donglin, Lv Situ, Ding Jia
Journal: Environmental Science and Pollution Research
Year: 2023


Article: Source Discrimination of Mine Water Inrush Using Multiple Combinations of an Improved Support Vector Machine Model
Authors: Wei Zhonglin, Dong Donglin, Ji Yuan, Ding Jia, Yu Lujia
Journal: Mine Water and the Environment
Year: 2022


Article: Source Discrimination of Mine Water Inrush Based on Spectral Data and EGA-PNN Model – A Case Study from The Huangyuchuan Mine, China
Authors: Yuan Ji, Donglin Dong, Jun Gao, Zhonglin Wei, Jia Ding, Zhiqiang Hu
Journal: Mine Water and the Environment
Year: 2022


Conclusion

In summary, Dr. Ding Jia exemplifies a dedicated researcher whose academic and professional journey reflects excellence, innovation, and societal relevance. His work bridges the critical gap between geological research and sustainable mining practices, offering solutions to complex problems of water management, subsidence, and environmental preservation. Recognized for his scholarly achievements and leadership qualities, he has already made substantial contributions to geological engineering. As he continues to expand his research collaborations and apply his expertise to global challenges, his impact will resonate not only within academia but also in shaping policies and practices that ensure responsible and sustainable resource development.

 

 

Gnana Sanga Mithra S | Social Sciences | Best Researcher Award

Assoc. Prof. Dr. Gnana Sanga Mithra S | Social Sciences | Best Researcher Award

Vinayaka Mission Research Foundation | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Gnana Sanga Mithra S began her academic journey with a deep interest in sociology, completing her foundational studies in the discipline and quickly emerging as a standout student. Her pursuit of higher education was marked by consistent excellence, securing awards and recognition for her academic achievements. During her postgraduate studies in sociology, she actively engaged in student leadership and union activities, demonstrating both intellectual curiosity and leadership qualities. Her doctoral research explored the lived realities of transwomen and transmen, reflecting her commitment to understanding and addressing issues faced by marginalized communities. This academic foundation laid the groundwork for her lifelong dedication to social sciences and inclusive research.

Professional Endeavors

Her professional journey reflects a steady rise through academia, beginning with roles in esteemed institutions where she nurtured young minds in sociology. Over the years, she has held significant positions in renowned colleges and universities, combining teaching, research, and administrative responsibilities. She has served in multiple academic institutions, contributing to both classroom pedagogy and institutional development. Currently, she holds the positions of Associate Professor and Associate Dean for Research in Interdisciplinary Studies, as well as serving as a post-doctoral supervisor at an international university. These roles highlight her stature as an educator, mentor, and academic leader.

Contributions and Research Focus

Dr. Mithra’s research is characterized by its intersectional and socially conscious focus, particularly on gender studies, LGBTQ+ rights, and the empowerment of transgender communities. She has undertaken and led numerous projects addressing crucial issues such as menstrual hygiene, climate change impact on marginalized groups, government welfare schemes for transgender individuals, and traditional health practices among indigenous tribes. Her work bridges the gap between academic inquiry and social advocacy, ensuring that her research outcomes contribute meaningfully to both knowledge and community development. Through publications, patents, and policy-focused studies, she has consistently demonstrated an innovative and impactful research trajectory.

Accolades and Recognition

Her career has been marked by numerous awards and honors that celebrate her academic excellence, research innovation, and leadership. She has been recognized internationally with awards such as Best Paper Presenter distinctions, commendations as a budding researcher, and accolades for her role as an educational leader. Her early recognition as a Star Performer during her student days and her later achievement of the prestigious Raman Research Award for outstanding publication underscore her lifelong commitment to excellence. These honors reflect not only her scholarly contributions but also her dedication to advancing social sciences on a global platform.

Impact and Influence

Dr. Mithra’s influence extends far beyond her classrooms and research projects. She has contributed to creating inclusive academic spaces, mentoring students in critical social thinking, and inspiring them to engage with pressing societal issues. Her research on transgender rights and marginalized communities has informed debates in policy, academia, and civil society, influencing perspectives and promoting social justice. By serving as a reviewer, editorial board member, and subject matter expert for leading journals and institutions, she has also shaped the global discourse in sociology and interdisciplinary research.

Legacy and Future Contributions

Her growing body of scholarly work, including books, edited volumes, and numerous journal articles, ensures her lasting contribution to the academic community. She continues to spearhead projects that address contemporary social issues, such as digital misinformation, AI’s role in healthcare, and the evolving dynamics of human rights. With upcoming publications and ongoing research on climate change and transgender communities, her legacy is one of a visionary scholar who bridges theory with practice. Her commitment to fostering equity, inclusion, and awareness positions her as a leading voice for the future of social sciences and policy advocacy.

Publications


Article: Forgotten Lives: A Mixed-Methods Study on Cognitive Decline Associated with Discrimination Among Elderly Transgender Individuals in India
Authors: S. Gnana Sanga Mithra; S. Bhavana
Journal: Social Science & Medicine
Year: 2025


Book Chapter: Inclusive Workforce Empowerment: Mapping Tamilnadu’s Welfare Initiative With the Transgender Community
Authors: Gnana Sanga Mithra, S.; Suriya, S.
Book: Organization, Purpose and Values: Integrating Diversity, Equity and Inclusion
Year: 2024


Article: Enhancing Well-Being: Menstrual Sanitation Practices Amongst Rural Adolescent Girls in Tamil Nadu, India
Authors: Pema Choden Bhutia; Gnana Sanga Mithra S.; Suriya S.
Journal: Revista de Gestão Social e Ambiental
Year: 2024


Article: Unraveling the factors shaping academic success: A structural equation modeling approach for college students
Authors: Wenwen Cao; S. Gnana Sanga Mithra; Aravind B R
Journal: Heliyon
Year: 2024


Article: Digital Humanities and Game Ethics: Investigating the Impact of Representation in Gaming
Authors: Edhaya Chandran E; Gnana Sanga Mithra S.
Journal: Studies in Media and Communication
Year: 2023


Conclusion

Assoc. Prof. Dr. Gnana Sanga Mithra S stands as a distinguished educator, researcher, and advocate whose career embodies the integration of academic rigor with social responsibility. From her early academic pursuits to her current leadership roles, she has remained steadfast in her mission to empower marginalized communities and expand the horizons of social sciences. Her contributions resonate in both scholarly circles and wider society, leaving a meaningful impact that will continue to inspire future generations. With her dedication to interdisciplinary research and inclusive advocacy, she has carved a legacy of scholarship rooted in compassion, equity, and transformative change.

Bingbing Wu | Health Professions | Best Researcher Award

Dr. Bingbing Wu | Health Professions | Best Researcher Award

Zhejiang University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Bingbing Wu began his academic journey with a strong foundation in biological sciences and technology, later advancing to doctoral studies in animal science at Zhejiang University. His early academic training provided him with a deep understanding of cellular biology, developmental processes, and molecular mechanisms, which later became central to his research in regenerative medicine and women’s health. These formative years not only shaped his scientific curiosity but also set the stage for his future contributions to stem cell biology and tissue regeneration.

Professional Endeavors

Following his doctoral studies, Dr. Wu pursued postdoctoral research at Zhejiang University School of Medicine and The First Affiliated Hospital of Zhejiang University, where he investigated the molecular underpinnings of tissue regeneration and gynecological diseases. His professional path led him to roles as a research assistant, full-time researcher, and later junior principal investigator at Zhejiang University’s International School of Medicine. Each role deepened his expertise in applying cutting-edge technologies to complex medical problems and allowed him to cultivate leadership in research.

Contributions and Research Focus

Dr. Wu’s research is centered on stem cell biology, regenerative medicine, and women’s reproductive health. His work investigates key stem cells involved in endometrial development and regeneration, along with the regulatory mechanisms driving their differentiation. He applies single-cell and spatial multi-omics technologies to unravel the pathological basis of diseases such as intrauterine adhesions and preeclampsia. By integrating organoid models, he has advanced understanding of maternal-fetal interface formation and disease mechanisms, providing novel insights into therapeutic approaches for obstetric and gynecological conditions.

Accolades and Recognition

Throughout his career, Dr. Wu has earned prestigious recognition through numerous competitive research grants. He has been a principal investigator on projects funded by the National Natural Science Foundation of China and the Zhejiang Province Key Projects, reflecting the national and regional confidence in his scientific leadership. His publications in respected international journals such as ACS Applied Materials & Interfaces, Stem Cell Reports, Cell Discovery, and NPJ Regenerative Medicine highlight his contributions to the advancement of regenerative medicine and biomedical science.

Impact and Influence

Dr. Wu’s work has had a significant impact on the field of regenerative medicine, particularly in women’s reproductive health. His studies have not only elucidated molecular pathways of tissue development but also provided translational potential for developing bioactive materials and therapeutic interventions. By combining experimental and computational approaches, he has expanded the scope of regenerative research, inspiring peers and contributing to the global understanding of complex gynecological disorders.

Legacy and Future Contributions

As a scientist committed to innovation, Dr. Wu continues to push the boundaries of regenerative biology. His current projects focus on human adult uterine cell atlases, endometrial tissue engineering, and the role of specific stromal and immune cell populations in tissue regeneration. With ongoing leadership in funded projects and collaborations, he is shaping a scientific legacy that bridges fundamental biology with clinical application. His future contributions are expected to bring new hope for women suffering from reproductive health disorders.

Publications


Article: Autologous platelet-rich plasma dual-network hydrogel promotes human endometrial regeneration
Authors: Xiao Chen, Chengcheng Zhu, Lu Wang, Jialing Deng, Zhuomin Wang, Xiaolin Wu, Haimin Tan, Yiyuan Qu, Bingbing Wu, Yu Li, Keren Cheng, Jian Xu
Journal: Acta Biomaterialia
Year: 2025


Article: Natural regeneration-inspired sequential delivery of synergistic growth factors for structural and functional endometrial regeneration
Authors: Cheng Zhang, Chengcheng Zhu, Xiao Chen, Xuzhi Chen, Di Zhang, Huafei Zhao, Junwen Zhang, Yu Zhang, Wanwan Xu, Xiaofeng Zhao, Yingying Hu, Wei Wei, Jian Xu, Yu Li, Bingbing Wu
Journal: Acta Biomaterialia
Year: 2025


Article: Reshaping the chromatin landscape in HUVECs from small-for-gestational-age newborns
Authors: Lingling Yan, Zhimin Zhou, Shengcai Chen, Xin Feng, Junwen Mao, Fang Luo, Jianfang Zhu, Xiuying Chen, Yingying Hu, Yuan Wang, Bingbing Wu, Lizhong Du, Chunlin Wang, Liang Gong, Yanfen Zhu
Journal: JCI Insight
Year: 2025


Article: Size- and Dose-Dependent Body-Wide Organ Transcriptomic Responses to Calcium Phosphate Nanomaterials
Authors: Yu Li, Wei Jiang, Nanfang Nie, Jiaqi Xu, Xiaozhao Wang, Junwen Zhang, Jiahuan Guan, Chengcheng Zhu, Cheng Zhang, Ying Gu, Xiaoyi Chen, Shasha Yao, Zi Yin, Bingbing Wu*, Hongwei Ouyang*, Xiaohui Zou*
Journal: ACS Applied Materials & Interfaces
Year: 2023


Article: A Dual-Crosslinked Hydrogel Based on Gelatin Methacryloyl and Sulfhydrylated Chitosan for Promoting Wound Healing
Authors: Shunxian Ji, Yushuang Zhao, Xinrang Zhai, Lu Wang, Huali Luo, Zhiyong Xu, Wei Dong, Bingbing Wu*, Wei Wei*
Journal: International Journal of Molecular Sciences
Year: 2023


Conclusion

Dr. Bingbing Wu stands as a distinguished researcher whose academic dedication, professional achievements, and scientific contributions have left a lasting mark on regenerative medicine. His focus on stem cells, multi-omics, and endometrial regeneration has advanced both theoretical knowledge and applied therapeutic strategies. With continued research, mentorship, and innovation, he is poised to expand his influence further, leaving a legacy of discovery and practical impact in the field of health professions.

Vishwanath Shervegar | Engineering | Best Researcher Award

Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications


Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025


Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024


Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023


Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023


Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022


Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.

Okechukwu Vincent Dickson | Enigneering | Best Researcher Award

Dr. Okechukwu Vincent Dickson | Engineering | Best Researcher Award

Institute Mines Télécom Albi | France

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Okechukwu Vincent Dickson’s academic journey began with a strong foundation in industrial chemistry, where he explored green chemistry, mineral processing, and analytical techniques. His undergraduate project focused on the phytochemical screening and antioxidant activity of medicinal plants, reflecting his early interest in applying chemistry for societal benefit. This laid the groundwork for his master’s studies in biomass and waste valorisation at Institut Mines Télécom Albi, France, where he engaged with concepts of the circular economy, sustainable material processing, and environmental chemistry. His commitment to advancing knowledge culminated in doctoral research in process and environmental engineering, with a focus on thermodynamic-kinetic coupling in hydrometallurgical extraction processes.

Professional Endeavors

Dr. Dickson has gained rich professional experience through research, industry, and academic collaborations. His role as a process research and development engineer at Prony Resources in New Caledonia and France allowed him to design and execute experiments for nickel and cobalt extraction, ensuring process optimisation and sustainability in industrial operations. Earlier experiences as a production executive in Nigeria further enhanced his skills in operational efficiency and waste reduction. His work in research institutions such as the Karlsruhe Institute of Technology in Germany broadened his exposure to biomass valorisation and advanced analytical methods, strengthening his global research outlook.

Contributions and Research Focus

His research contributions lie at the intersection of process engineering, environmental sustainability, and material sciences. With expertise in hydrometallurgy, Dr. Dickson has investigated high-pressure acid leaching for critical metal extraction, integrating thermodynamic modelling, kinetic studies, and advanced characterisation tools. His focus extends to waste valorisation, biomass utilisation, and sustainable material processing, reflecting a strong commitment to circular economy principles. His publications highlight novel approaches to equilibrium constant modelling, speciation studies, and the application of advanced techniques to solve industrial challenges while promoting environmental stewardship.

Accolades and Recognition

Throughout his academic and professional career, Dr. Dickson has received recognition for his dedication to sustainability-focused research. His scholarly work has been published in respected journals, including studies on thermodynamics, hydrometallurgy, and natural product chemistry. His collaborative projects across Europe, Africa, and the Pacific highlight his ability to integrate into multidisciplinary teams, gaining recognition as a highly adaptable and innovative researcher. His progression from local industrial operations to internationally recognized research institutions demonstrates a career built on consistent excellence and impact.

Impact and Influence

Dr. Dickson’s impact lies in his ability to connect fundamental research with industrial application. His work on hydrometallurgical processes has contributed to improving the efficiency of critical metal extraction, a field of great relevance for energy transition and technological advancement. By combining process optimisation with environmental responsibility, he has influenced how industries approach sustainability. His academic output not only enriches scientific understanding but also guides industrial practices and policy discussions surrounding resource utilisation and waste management.

Legacy and Future Contributions

Looking forward, Dr. Dickson’s legacy is likely to be defined by his role in advancing sustainable process engineering and resource recovery. His interdisciplinary expertise positions him to address global challenges related to resource scarcity, environmental protection, and industrial innovation. Future contributions may include deeper exploration of advanced modelling, development of scalable green technologies, and expanded collaborations across continents. His commitment to continuous learning and adaptability ensures that his work will remain relevant in shaping the future of environmental and process chemistry.

Publications


Article: Influence of the model used for the calculation of equilibrium constants at moderate temperature for electrolytes
Authors: Okechukwu V. Dickson, Thomas Deleau, Christophe Coquelet, Fabienne Espitalier, Julien Lombart, Antoine Tardy
Journal: MATEC Web of Conferences
Year: 2023


Article: Speciation and reaction equilibrium constant modelling of aqueous hydrometallurgical systems at elevated temperatures: A review
Authors: Okechukwu V. Dickson, Thomas Deleau, Christophe Coquelet, Fabienne Espitalier, Julien Lombart, Antoine Tardy, Fabrice Lachaize
Journal: Chemical Thermodynamics and Thermal Analysis
Year: 2023


Article: The influence of activity coefficient and equilibrium constant models on the speciation of aqueous solutions of H₂SO₄–MgSO₄–Al₂(SO₄)₃ at 235 and 250 °C
Authors: Okechukwu V. Dickson, Thomas Deleau, Christophe Coquelet, Fabienne Espitalier, Julien Lombart, Antoine Tardy
Journal: Physicochemical Problems of Mineral Processing
Year: 2023


Article: Antiplasmodial and Acute Toxicity Studies of Fractions and Cassane-Type Diterpenoids from the Stem Bark of Caesalpinia pulcherrima (L.) Sw.
Authors: Osahon Ogbeide, Vincent Dickson, Randolph Jebba, Dennis Owhiroro, Marvelous Olaoluwa, Bodunde Owolabi, Vincent Imieje, Abiodun Falodun, Pius Fasinu, et al.
Journal: Tropical Journal of Natural Product Research
Year: 2018


Conclusion

Through his research, teaching, and professional work, Dr. Dickson exemplifies the qualities of a modern scientist dedicated to addressing global environmental and industrial challenges. His publications, professional experiences, and adaptability across diverse cultural and technical environments showcase a researcher committed to innovation, collaboration, and sustainability. With his ongoing projects and future prospects, he stands as a promising leader whose contributions will continue to influence academia, industry, and society at large.

Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

Prof. Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

University of Dhaka | Bangladesh

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Prof. Hafiz Mohammad Hasan Babu began his academic journey in the realm of computer science and engineering with a strong foundation from the Brno University of Technology, Czech Republic, where he completed his M.Sc. with a focus on logic network automation. His curiosity for advanced computational systems took him to the Kyushu Institute of Technology in Japan, where he earned his Ph.D. in Computer Science and Electronics. His doctoral work concentrated on data structures for multiple-output functions and their applications in VLSI CAD, under the guidance of Prof. Dr. Tsutomu Sasao. These formative years laid the groundwork for his future innovations in quantum computing, reversible logic, and nanotechnology.

Professional Endeavors

Prof. Hasan Babu's academic career spans several decades and institutions, notably the University of Dhaka, where he served in various capacities, including as professor in the departments of Computer Science and Engineering, and Robotics and Mechatronics Engineering. His early academic roles also included positions at Khulna University. He has been deeply involved in curriculum development, student mentorship, and departmental leadership. Beyond teaching, he also contributed significantly as a research supervisor and played a critical role in developing the academic and research culture of computer science in Bangladesh.

Contributions and Research Focus

A prolific researcher, Prof. Hasan Babu has made groundbreaking contributions in the fields of quantum computing, reversible logic design, DNA computing, and machine learning applications in healthcare and agriculture. His interdisciplinary research integrates electronics, artificial intelligence, and biological systems. His most recent works delve into quantum biocomputing and nanotechnology, as evidenced by his multi-volume publications with Springer Nature and CRC Press. He has also authored numerous peer-reviewed articles on topics such as cardiovascular disease detection using mobile AI, air quality forecasting, and toxic substance identification in fruits through deep learning.

Accolades and Recognition

Prof. Hasan Babu has received numerous prestigious awards recognizing his excellence in research and scholarly contributions. These include the Dhaka University Research Excellence Recognition, the UGC Gold Medal, and the Dr. M. O. Ghani Memorial Gold Medal from the Bangladesh Academy of Sciences. His biography has been featured in “Who's Who in the World, USA.” He has also received international fellowships such as the Japanese Government Scholarship, the DAAD Fellowship from Germany, and a Czechoslovakian Government Scholarship, marking his global academic influence.

Impact and Influence

Throughout his academic life, Prof. Hasan Babu has significantly influenced the fields of computer science, electronics, and artificial intelligence. His innovations in reversible logic and DNA computing have shaped research methodologies and applications in both academia and industry. He has been instrumental in advancing computational methods that address real-world problems, particularly in environmental monitoring, biomedical diagnostics, and agricultural automation. His role as a mentor to doctoral and master’s students further amplifies his impact on the next generation of scholars.

Legacy and Future Contributions

Prof. Hasan Babu’s extensive scholarly contributions, particularly in the emerging domains of quantum AI and biocomputing, position him as a thought leader in futuristic technologies. His upcoming publications promise to offer new paradigms in nanotechnology and molecular-level computing. As he continues to mentor new researchers and expand the boundaries of interdisciplinary science, his legacy will be defined by his relentless pursuit of innovation and his dedication to fostering a globally relevant research ecosystem.

List of Book Publications



Books Published in 2025:

1. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume I, Springer Nature, Singapore.

2. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume II, Springer Nature, Singapore.

3. Quantum Biocomputing in Quantum Biology, Volume I, Springer Nature, Singapore.

4. Quantum Biocomputing in Quantum Biology, Volume II, Springer Nature, Singapore.

Book Published in 2024:
5. DNA Logic Design: Computing with DNA, World Scientific Publishing Co Pte Ltd., Singapore.

Books Published in 2023:
6. Multiple-Valued Computing in Quantum Molecular Biology, Volume I, CRC Press, USA.
7. Multiple-Valued Computing in Quantum Molecular Biology, Volume II, CRC Press, USA.

Books Published in 2022:
8. VLSI Circuits and Embedded Systems, CRC Press, USA.
9. Control Engineering Theory and Applications (Co-authored with Md. Jahangir Alam, Guoqing Hu, and Huazhong Xu), CRC Press, USA.

Books Published in 2020:
10. Quantum Computing: A Pathway to Quantum Logic Design, 2nd Edition, IOP Publishers, Bristol, UK.
11. Reversible and DNA Computing, Wiley Publishers, UK.



Journal Publications


Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Authors: Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md Mahbubur Rahman, Hafiz Md Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder
Journal: Neuroscience Informatics (Elsevier)
Year: 2025


Empowering early detection: A web-based machine learning approach for PCOS prediction
Authors: Md. Mahbubur Rahman, Ashikul Islam, Forhadul Islam, Mashruba Zaman, Md Rafiul Islam, Md Shahriar Alam Sakib, Hafiz Md Hasan Babu
Journal: Journal of Informatics in Medicine (Elsevier)
Year: 2024


Computer vision based deep learning approach for toxic and harmful substances detection in fruits
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Heliyon (Cell Press)
Year: 2024


A Comprehensive Approach to Detecting Chemical Adulteration in Fruits Using Computer Vision, Deep Learning, and Chemical Sensors
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Journal of Intelligent Systems with Applications (Elsevier)
Year: 2024


A Voice assistive mobile application tool to detect cardiovascular disease using machine learning approach
Authors: Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md Hasan Babu
Journal: Biomedical Materials & Devices (Springer US)
Year: 2024


Conclusion

Prof. Hafiz Mohammad Hasan Babu embodies the spirit of academic excellence and innovation in computer science. With a career rich in scholarly output, international collaborations, and student mentorship, he has become a beacon of transformative research and a visionary in integrating quantum theory with computational systems. His work continues to influence the scientific community both in Bangladesh and globally, promising continued advancements in technology and applied sciences.

Raghavendran Prabakaran | Mathematics | Best Scholar Award

Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Author Profile

Scopus

Orcid

Google Scholar

 

Early Academic Pursuits

Mr. Raghavendran Prabakaran began his academic journey with a strong foundation in mathematics. He completed his B.Sc. in Mathematics from the prestigious Loyola College, Chennai. Building on this, he pursued his M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His dedication to research led him to enroll in a Ph.D. program at the same institution, focusing on cutting-edge mathematical applications in AI and cryptography.

Professional Endeavors

Mr. Prabakaran has actively engaged in interdisciplinary research through internships at Symbiosis Institute of Digital and Telecom Management, where he contributed to innovative projects related to Brain-Computer Interfaces (BCI), AI in neuroscience, and energy forecasting. These roles not only refined his technical skills but also positioned him at the intersection of applied mathematics and next-generation AI applications.

Contributions and Research Focus

His primary research areas include Fractional Differential Equations, Control Theory, Integral Transforms, Fuzzy Analysis, Cryptography, and Artificial Neural Networks. His Ph.D. dissertation explores advanced integro-differential systems with state-dependent delays, which have direct implications in AI modeling and secure communication systems. Mr. Prabakaran’s passion for innovation is evident from his 12 published patents, introducing transformative concepts such as the P-Transform, A-Transform, Y-Transform, and V-Transform for applications ranging from signal processing to robotics and environmental monitoring.

Accolades and Recognition

Mr. Raghavendran Prabakaran boasts an impressive academic portfolio, including 22 journal articles, 12 conference papers, 13 book chapters, and one authored book. Several of his publications appear in Q1 journals indexed in Web of Science (WoS) and Scopus, reflecting the high quality of his research. His scholarly influence is evident through 184 citations and an h-index of 9 on Scopus, 79 citations and an h-index of 6 on Web of Science, and 219 citations with an i10-index of 8 on Google Scholar. His pioneering research, particularly in AI-integrated control theory and the development of mathematical models for real-world applications, has earned widespread academic recognition and continues to impact multiple scientific domains.

Impact and Influence

Mr. Prabakaran’s research contributions resonate across disciplines, especially in AI, cryptography, energy systems, neuroscience, and robotics. His patented technologies have the potential to revolutionize fields like healthcare (Parkinson’s diagnosis), transport (driver alert systems), and disaster management (forest fire detection). He is recognized as a bridge between theoretical mathematics and applied innovation.

Legacy and Future Contributions

As a dynamic scholar with an impressive blend of mathematical precision and technological foresight, Mr. Raghavendran Prabakaran is poised to lead future innovations in AI-driven control systems, smart robotics, and secure communication protocols. His forward-thinking approach ensures that his work will continue to influence academic research, industrial applications, and policy-level technological adoption for years to come.

Publications


A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam
Journal: Fractal and Fractional
Year: 2025


Existence, Uniqueness, and Stability Results of Fractional Volterra-Fredholm Integro-Differential Equations with State Dependent Delay
Authors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Kottakkaran Sooppy Nisar
Journal: Qualitative Theory of Dynamical Systems
Year: 2025


R-Transform Techniques for Strengthening Cryptographic Protocols in Digital Supply Networks
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar
Journal: Global Integrated Mathematics
Year: 2025


Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations
Authors: Prabakaran Raghavendran, T. Gunasekar, Shyam Sundar Santra, Dumitru Baleanu
Journal: Journal of Mathematics and Computer Science
Year: 2025


Application of Pourreza Transform to Solve Fractional Integro-Differential Equations
Authors: T. Gunasekar, P. Udhayasankar, Prabakaran Raghavendran, M. Suba
Journal: Journal of Applied Mathematics and Informatics
Year: 2025


Biao Shi | Materials Science | Best Researcher Award

Dr. Biao Shi | Materials Science | Best Researcher Award

Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Biao Shi embarked on his academic journey at Chongqing University, where he demonstrated a rare interdisciplinary interest. He earned a Bachelor of Engineering in Material Physics, followed by a Bachelor of Management in Business Administration. His strong foundation in both technical and managerial domains reflects a holistic approach to science and innovation. Dr. Shi further elevated his academic credentials by earning a PhD in Materials Science from the Shanghai Institute of Ceramics, Chinese Academy of Sciences.

Professional Endeavors

Dr. Shi has cultivated a robust career centered around two-dimensional (2D) materials, a cutting-edge field in nanotechnology and materials science. His primary focus includes the synthesis and characterization of materials such as graphene, WS₂, and MoS₂, and their application in advanced devices. Currently, he is actively engaged in the design and fabrication of photodetectors and biosensors that leverage the unique properties of these 2D structures. His deep integration of materials science into real-world devices positions him at the forefront of applied nanotechnology.

Contributions and Research Focus

Dr. Shi's work spans numerous high-impact research publications, showcasing his expertise in biosensors, graphene-based field-effect transistors (GFETs), and photodetection technologies. He has co-authored pioneering studies such as fluorescence multiplexed miRNA biosensors for lung cancer diagnostics, DNA hybridization detection using WS₂ nanosheet-based FET biosensors, graphene liquid-gated transistors for label-free biosensing, and monolayer WS₂ crystal synthesis for scalable electronic applications. These contributions have advanced the precision, efficiency, and application scope of 2D materials in next-generation sensors and electronics.

Accolades and Recognition

While not explicitly listed, Dr. Shi’s consistent publication in prestigious journals like ACS Applied Nano Materials, Analytica Chimica Acta, and Nanomaterials reflects the high esteem in which his research is held by the global scientific community. His work is frequently cited and forms a core component of the rapidly growing field of nanomaterials and biosensor technologies.

Impact and Influence

Dr. Shi’s research is contributing to transformational technologies in medical diagnostics, particularly in early cancer detection through innovative biosensor design. His work with graphene and transition metal dichalcogenides (TMDs) is influencing how materials science is applied in biomedicine, environmental sensing, and optoelectronics. By enabling faster, more sensitive, and miniaturized sensors, he is helping shape the future of personalized healthcare and real-time diagnostics.

Legacy and Future Contributions

Dr. Shi's scientific legacy is anchored in his pioneering exploration of 2D materials for device applications. As research and development in nanotechnology accelerate, he is poised to make even greater strides in flexible electronics, wearable biosensors, and intelligent sensing platforms. His future work promises to further close the gap between material synthesis and functional device integration, paving the way for revolutionary applications in smart healthcare, environmental monitoring, and quantum devices.

Publications


A Sandwich-Type Impedimetric Immunosensor for the Detection of Tau-441 Biomarker

Authors: Khouloud Djebbi, Yang Xiang, Biao Shi, Lyes Douadji, Xiaohan Chen, Jin Liu, Chaker Tlili, Deqiang Wang
Journal: Bioengineering
Year: 2025


Graphene-based Field-Effect Transistor Biosensor for Prostate-Specific Antigen Detection

Authors: Xiangdong Kong, Yunjiao Wang, Deping Huang, Xin Li, Biao Shi, Daming Zhou, Rong Tian, Chaker Tlili, Deqiang Wang
Journal: Microchemical Journal
Year: 2024


Nanopore-Based Aptasensor for Label-Free and Sensitive Vanillin Determination in Food Samples

Authors: Mohamed Amin Elaguech, Mohamed Bahri, Khouloud Djebbi, Daming Zhou, Biao Shi, Liyuan Liang, Natalia Komarova, Alexander Kuznetsov, Chaker Tlili, Deqiang Wang
Journal: Food Chemistry
Year: 2022


Highly Sensitive Fluorescence Multiplexed miRNAs Biosensors for Accurate Clinically Diagnosis of Lung Cancer Disease Using LNA-Modified DNA Probe and DSN Enzyme

Authors: K. Djebbi, J. Xing, T. Weng, M. Bahri, M.A. Elaguech, C. Du, B. Shi, L. Hu, S. He, P. Liao, C. Tlili, D. Wang
Journal: Analytica Chimica Acta
Year: 2022


Tungsten Disulfide Nanosheet-Based Field-Effect Transistor Biosensor for DNA Hybridization Detection

 Authors: M. Bahri, B. Shi, M.A. Elaguech, K. Djebbi, D. Zhou, L. Liang, C. Tlili, D. Wang
 Journal: ACS Applied Nano Materials
Year: 2022