Shailendra Sinha | Engineering | Editorial Board Member

Dr. Shailendra Sinha | Engineering | Editorial Board Member 

Professor at Institute of Engineering and Technology  | India

Dr. Shailendra Sinha is a distinguished academic and researcher at the Institute of Engineering and Technology (IET), Lucknow, India, recognized for his strong contributions to engineering education, applied research, and the advancement of computer science. Known for his dedication to academic excellence, he combines deep theoretical understanding with practical technological innovation, consistently striving to enhance learning outcomes and foster technical leadership. Dr. Sinha has built a solid educational foundation in computer science and engineering, complemented by progressive teaching and research experience that reflects his commitment to intellectual growth and innovation. His academic journey includes advanced studies and extensive engagement with evolving computational paradigms, enabling him to contribute meaningfully to curriculum development, student mentorship, and interdisciplinary collaboration. Over the course of his career, Dr. Sinha has produced impactful research, evidenced by 1,405 citations across 1,271 documents, 53 published works, and an h-index of 15, highlighting the relevance and influence of his scholarly contributions. His research interests span emerging technologies, data-driven systems, computational intelligence, and innovative engineering methodologies aimed at addressing contemporary challenges in the digital landscape. He consistently integrates modern research insights into classroom instruction, bridging the gap between theory and application, and preparing students for the demands of rapidly advancing technological environments. Dr. Sinha has participated in numerous academic initiatives and collaborative projects, demonstrating his commitment to expanding the boundaries of knowledge and promoting technical excellence. He remains actively engaged in guiding students, contributing to academic committees, and supporting the development of engineering education through research-driven strategies. As a respected member of the engineering community, Dr. Shailendra Sinha continues to uphold high standards of scholarship, innovation, and professional integrity, striving to create meaningful impact through his research, teaching, and collaborative endeavors while nurturing the next generation of engineers and fostering a culture of inquiry and advancement within the academic ecosystem.

Profile: Scopus | Orcid 

Featured Publications:

  • Yadav, A. K., & Sinha, S. (2024). Techno-economic and environmental analysis of a hybrid power system formed from solid oxide fuel cell, gas turbine, and organic Rankine cycle. Journal of Energy Resources Technology, Transactions of the ASME, 146(7), 1–11.

  • Yadav, A. K., & Sinha, S. (2024). Advancements in composite cathodes for intermediate-temperature solid oxide fuel cells: A comprehensive review. International Journal of Hydrogen Energy, 59, 1080–1093.

  • Yadav, A. K., Kumar, A., & Sinha, S. (2023). Comprehensive review on performance assessment of solid oxide fuel cell-based hybrid power generation systems. Thermal Science and Engineering Progress, 46, 102226.

  • Verma, S. K., Dubey, V., & Sinha, S. (2021). A review on additive mixed electrical discharge machining processes. Materials Today: Proceedings, 709–715.

  • Singh, A., & Sinha, S. (2021). Optimization of operating parameters of diesel engine powered with Jatropha oil diesel blend by employing response surface methodology. International Journal of Renewable Energy Research, 504–513.

  • Nigam, A. P., & Sinha, S. (2020). Techniques to control IC engine exhaust emissions through modification in fuel and intake air – A review. Journal of Ambient Energy.

  • Singh, A., & Sinha, S. (2020). Optimization of performance and emission characteristics of CI engine fueled with Jatropha biodiesel produced using a heterogeneous catalyst (CaO). Fuel.

  • Agrawal, B. N., & Sinha, S. (2019). Effect of vegetable oil share on combustion characteristics and thermal efficiency of diesel engine fueled with different blends. Thermal Science and Engineering Progress, 14, 100404.

  • Sinha, S., & Agarwal, A. K. (2007). Experimental investigation of the performance and emission characteristics of direct injection medium duty transport diesel engine using Rice-bran oil biodiesel. In ASME Internal Combustion Engine Division Fall Technical Conference.

  • Sinha, S., & Agarwal, A. K. (2006). Combustion characteristics of Rice bran oil derived biodiesel in a transportation diesel engine. In Proceedings of ICES 2006, ASME I.C. Engine Division Spring Technical Conference

Rajeevan Arunthavanathan | Engineering | Best Researcher Award

Dr. Rajeevan Arunthavanathan | Engineering | Best Researcher Award

Postdoctoral Researcher at Texas A&M University, United States.

🌍Dr. Rajeevan Arunthavanathan is a distinguished researcher and educator specializing in AI safety, process safety, and ICS cybersecurity. With a Ph.D. in Process Engineering and over a decade of academic and industrial experience, he has developed groundbreaking methods for risk evaluation and safety in critical infrastructures. His prolific publication record includes high-impact journals and book chapters on AI-human conflict, machine learning applications, and process fault diagnosis. Dr. Arunthavanathan has contributed significantly to curriculum development, student mentorship, and project management in academia and industry, positioning himself as a leader in the intersection of AI and process safety.

Profile👤

Education 🎓

🎓Dr. Arunthavanathan completed his Ph.D. in Process Engineering at Memorial University, Canada, in 2022, focusing on AI-driven fault diagnosis in process systems. He earned his MSc in Microelectronics and Communication from Northumbria University, UK, in 2010, graduating with distinction, and a B.Eng. in Electrical and Electronics Engineering from the same institution in 2007. His academic mentors included renowned professors, under whom he honed expertise in AI, control systems, and microelectronics. Throughout his education, he demonstrated excellence through research on AI-human interaction and advanced microelectronics, laying the foundation for his impactful career.🧬🎓

Experience💼

🩺Dr. Arunthavanathan has extensive experience in academia and industry. At Texas A&M University, he researches AI safety and mentors graduate students. Previously, at C-CORE, Canada, he developed ML models for data noise cleaning and smart ice management. He served as a senior lecturer at SLIIT, Sri Lanka, revising engineering curricula to meet international accreditation standards. His industrial experience includes work as a trainee engineer at Perry Slingsby Systems, UK, where he contributed to advanced underwater surveillance systems. His teaching spans multiple institutions, offering courses in process safety, microelectronics, and programming, blending theory with practical applications.👨‍🔬🌍

Research Interests 🔬

🔬Dr. Arunthavanathan’s research lies at the nexus of AI safety, process safety, and industrial control systems (ICS) cybersecurity. He develops innovative models to evaluate AI efficiency and mitigate risks in human-AI collaboration. His work on fault diagnosis, risk assessment, and operational technology cybersecurity addresses pressing challenges in critical infrastructure. His focus extends to integrating machine learning for noise cleaning in data systems and applying AI in Industry 4.0 technologies. With a commitment to enhancing process safety and addressing cyber threats, his research bridges theoretical advancements with practical applications for safer industrial operations. 🌿🧪

Awards and Honors 🏆

🏆Dr. Arunthavanathan has received numerous accolades, including being named a Fellow of the School of Graduate Studies at Memorial University (2022). His MSc degree was conferred with distinction by Northumbria University (2010). He serves as an editor for leading journals like Sensors and AI and reviews manuscripts for high-impact publications, including IEEE Access. His professional memberships with IEEE and AIChE reflect his standing in the academic community. These achievements underscore his dedication to advancing AI, process safety, and engineering education through impactful research and professional service. 🏆🎉

Conclusion 🔚 

Dr. Rajeevan Arunthavanathan is a strong contender for the Best Researcher Award, given his impactful contributions to AI safety, process fault diagnosis, and industrial control systems. His expertise, combined with a commitment to education and industry applications, exemplifies the qualities of an outstanding researcher. Recognizing his achievements will inspire further advancements in safety and AI-driven solutions for critical infrastructure.

Publications Top Notes 📚

An analysis of process fault diagnosis methods from safety perspectives

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 126

Year: 2021

A deep learning model for process fault prognosis

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 120

Year: 2021

Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz, R. Rusli

Citations: 76

Year: 2020

Autonomous fault diagnosis and root cause analysis for the processing system using one-class SVM and NN permutation algorithm

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 52

Year: 2022

Industry 4.0-based process data analytics platform

Authors: T.R. Wanasinghe, M.G. Don, R. Arunthavanathan, R.G. Gosine

Citations: 10

Year: 2022

Machine Learning for Process Fault Detection and Diagnosis

Authors: R. Arunthavanathan, S. Ahmed, F. Khan, S. Imtiaz

Citations: 9

Year: 2022

Vehicle monitoring controlling and tracking system by using Android application

Authors: A. Rajeevan, N.K. Payagala

Citations: 8

Year: 2016

Artificial intelligence–Human intelligence conflict and its impact on process system safety

Authors: R. Arunthavanathan, Z. Sajid, F. Khan, E. Pistikopoulos

Citations: 7

Year: 2024

Process safety 4.0: Artificial intelligence or intelligence augmentation for safer process operation?

Authors: R. Arunthavanathan, Z. Sajid, M.T. Amin, Y. Tian, F. Khan, E. Pistikopoulos

Citations: 7

Year: 2024

Statistical approaches and artificial neural networks for process monitoring

Authors: M. Alauddin, R. Arunthavanathan, M.T. Amin, F. Khan

Citations: 6

Year: 2022