Cristiano Andre da Costa | Interoperability, AI and IoT | Best Researcher Award

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Prof. Cristiano Andre da Costa | Interoperability, AI and IoT | Best Researcher Award

Full Professor at University of the Sinos River Valley, Brazil

Cristiano André da Costa is a seasoned academic and researcher with over two decades of contributions in applied computing. He serves as a full professor and heads the SOFTWARELAB, an innovation hub focusing on software solutions. His academic journey spans national and international institutions, including a visiting professorship in Germany, and he holds extensive experience in guiding research, innovation, and industry collaboration.

Profile

Scopus | ORCID | Google Scholar

Best Researcher Award

Cristiano Costa is highly suited for the “Best Researcher Award” due to his exemplary contributions to artificial intelligence and applied computing in healthcare. His research bridges academia and industry, reflected in his leadership of innovation-driven projects, high citation metrics, and impactful scholarly output. His recognition as a CNPq Productivity Researcher further reinforces his eligibility.

Education

He holds both a Master’s and a Ph.D. in Computer Science from Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. These qualifications laid a strong foundation for his career in academic research, teaching, and cross-disciplinary collaboration.

Experience

Since 2000, he has been affiliated with Universidade do Vale do Rio dos Sinos. He has directed several interdisciplinary projects, including digital health and blockchain technologies, and has acted as a consultant for top-tier companies such as Dell, SAP, Siemens Healthineers, and Santander Bank. His academic leadership includes editorial roles and extensive supervision of postgraduate research.

Research Interest

His primary research interests lie in distributed and mobile computing, Internet of Things (IoT), semantic interoperability, and artificial intelligence, with a special emphasis on applications in digital health. He has also contributed significantly to machine learning, computer vision, and deep learning models, particularly in health data analytics.

Publication

  • 2025 – IEEE Pervasive Computing
    Title: Breaking Down the Data Path in Digital Health: From Edge to Fog and Beyond

  • 2025 – Clinical & Biomedical Research
    Title: Inequalities and risk factors of COVID-19 patients with Down syndrome: a Brazilian cross-sectional, analytical-exploratory study

  • 2025 (February) – The International Journal of Advanced Manufacturing Technology
    Title: Digital twin for product design collaboration: a systematic literature review

  • 2024 (December) – Expert Systems with Applications
    Title: CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions

  • 2024 (November) – Internet Technology Letters
    Title: On proposing an intelligent model for tracking agrochemicals

  • 2024 (August) – Computers and Electrical Engineering
    Title: A method to predict the percentage of biodegradation in polymeric materials

  • 2024 (July) – Expert Systems with Applications
    Title: SOAP classifier for free-text clinical notes with domain-specific pre-trained language models

Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

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Dr. Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

Professor | K S R College of Engineering | India

Dr. R. Eswaramoorthi is a distinguished academician and researcher specializing in Applied Electronics with a keen interest in Wireless Communication. Currently serving as a Professor at K.S.R. College of Engineering, he has over two decades of teaching and research experience. His contributions to academia include mentoring students, publishing research in reputed journals, and participating in technical conferences. His dedication to knowledge dissemination and commitment to advancing engineering education make him a respected figure in his field.

Profile

Google Scholar

Education

Dr. Eswaramoorthi holds an M.E. and a Ph.D., signifying his strong academic foundation in engineering. His advanced studies provided him with expertise in applied electronics, equipping him with the skills to conduct high-quality research in wireless communication. His academic journey has been marked by continuous learning, attending faculty development programs, and engaging in research methodologies to stay abreast of technological advancements.

Experience

Dr. Eswaramoorthi has been associated with K.S.R. College of Engineering since 2007, progressively advancing through various roles. He began as a Lecturer and was promoted to Senior Lecturer, Assistant Professor (Sr), Associate Professor, and now holds the esteemed position of Professor. Prior to this, he served as Head of the Department at K.S. Rangasamy Institute of Technology. His extensive experience spans across teaching, administration, and research, making significant contributions to the academic environment.

Research Interest

His primary research interests lie in Wireless Communication, with a focus on developing efficient communication technologies. He has explored topics such as signal processing, network security, and antenna design. His research aims to enhance wireless connectivity and optimize system performance, addressing real-world challenges in communication technology.

Awards

Dr. Eswaramoorthi has received several accolades for his contributions to engineering education and research. His excellence in teaching, dedication to mentoring students, and impactful research have earned him recognition at institutional and national levels. His participation in faculty development programs and workshops further highlights his commitment to academic excellence.

Publications

Eswaramoorthi, R., Deepika, G. (2012). “Efficient Algorithms for Extension of Mobile Backbone Networks,” International Journal of Electronics and Computer Science Engineering (IJECSE), ISSN 2277-1956. Cited by multiple research articles.

Seethal Thomas, R. Eswaramoorthi. (2013). “Secure Communication using Adaptive Pixel Pair Matching Embedding Method and Nymble System,” International Journal of Emerging Trends in Engineering and Development, ISSN 2249-6149.

Kurinjivendhen, S., Eswaramoorthi, R. (2015). “Enhancing Throughput using Sleep Scheduling Mechanism in Wireless Sensor Networks,” International Journal of Advanced Information Science and Technology (IJAIST), ISSN 2319-2682.

A. Gayathri, R. Eswaramoorthi. (2016). “Minimizing Transmission Cost and Efficient Routing for Third-Party Information Exchange,” International Journal of Advanced Research in Biology, Engineering, and Science Technology (IJARBEST), ISSN 2395-695X.

Eswaramoorthi, R., Singaravel, G. (2017). “PAPR Reduction Techniques in OFDM System,” International Journal of Emerging Research in Management and Technology, ISSN 2278-9359.

Eswaramoorthi, R., Singaravel, G. (2018). “Improved Artificial Bee Colony Optimization Approach in UWB-OFDM for Frequency Offset Estimation,” Journal of Testing and Evaluation, ISSN 0090-3973.

R. Eswaramoorthi et al. (2024). “Frequency Offset Estimation for UWB-OFDM System Using Monarch Butterfly Optimization,” Journal of Electrical Systems, ISSN 1112-5209.

Conclusion

Dr. R. Eswaramoorthi is a highly accomplished professor, researcher, and mentor, contributing significantly to the field of applied electronics and wireless communication. With a wealth of experience in academia, numerous research publications, and a passion for teaching, he continues to inspire students and researchers alike. His dedication to advancing knowledge through research and education underscores his commitment to the engineering community.