saber Haghgooye Shafagh | Mechanical Engineering | Best Researcher Award

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Mr. saber Haghgooye Shafagh | Mechanical Engineering | Best Researcher Award

Mechanical Engineer at LumenWerx, Canada.

Saber Haghgooye Shafagh is an enthusiastic Mechanical Engineer with expertise in design, manufacturing processes, mechanical drawing, FEA modeling, and quality inspection. He holds a Master of Applied Science in Mechanical Engineering from Concordia University, Canada, with research focused on fabrication of microsystems and conductive polymers. With hands-on experience at LumenWerx, Optical Bio-Microsystem Group, and Iran Khodro Co., he has contributed to mechanical design, composite fabrication, and microfluidic systems. Proficient in SolidWorks, AutoCAD, and CATIA, Saber combines innovation with technical precision, making significant contributions to engineering and manufacturing.

PRofessional Profile:

Google Scholar

Suitability for Best Researcher Award – Saber Haghgooye Shafagh

Saber Haghgooye Shafagh is a highly skilled mechanical engineer and researcher with expertise in mechanical design, materials science, and microfabrication. His work spans electrically conductive polymers, MEMS-based thermal and electrical testing, and microfluidic systems for biomedical applications. With an outstanding academic record (GPA: 4.18/4.3) and a strong industry background at LumenWerx, Optical Bio-Microsystem Group, and Iran Khodro Co., he has significantly contributed to the advancement of engineering and manufacturing technologies. His research integrates FEA modeling, composite fabrication, and piezoelectric energy harvesting, demonstrating his ability to bridge mechanical design and biomedical applications.

Education & Experience 🎓💼

Education 📚

  • Master of Applied Science in Mechanical Engineering – Concordia University, Canada (2019-2023)

    • Research: Microsystem fabrication, 3D modeling, conductive polymers

    • GPA: 4.18/4.3

  • Bachelor of Mechanical Engineering – University of Applied Science and Technology, Iran (2013-2017)

    • GPA: 18.04/20

Experience 🏭

  • Mechanical Design Engineer – LumenWerx, Canada (2024-Present)

  • Mechanical Engineer – Optical Bio-Microsystem Group, Canada (2020-2023)

  • Mechanical Designer – Iran Khodro Co., Iran (2017-2019)

  • Teaching Assistant – Concordia University, Canada (2021-2022)

  • Sales Specialist – IO Solutions, Canada (2021-2024)

Professional Development 🚀

Saber continuously enhances his skills through professional certifications and research. He is SOLIDWORKS Certified (CSWA) and has expertise in AutoCAD, composite material manufacturing, and mechanical testing. His work spans 3D modeling, FEA simulations, and electromagnetics, with contributions to piezoelectric energy harvesting and cancer cell separation modeling. He actively collaborates in design discussions and adapts to industry advancements, ensuring his work aligns with modern engineering and manufacturing standards. With a passion for innovation and problem-solving, he aims to drive technological advancements in the field of mechanical engineering.

Research Focus 🔬

Saber specializes in mechanical design, materials science, and microfabrication. His research explores electrically conductive polymers, MEMS-based thermal and electrical testing, and microfluidic systems for biomedical applications. He has worked on FEA modeling for composite structures, piezoelectric energy harvesting, and aerodynamic simulations. His contributions to cancer cell separation modeling and thermal analysis demonstrate his multidisciplinary approach. With expertise in SolidWorks, MATLAB, and HVAC systems, he bridges the gap between mechanical design and biomedical engineering, creating innovative solutions for energy and healthcare industries.

Awards & Honors 🏆

  • SOLIDWORKS Certified Associate (CSWA) – Udemy (2023) 🏅

  • SOLIDWORKS Sheet Metal Certification – Udemy (2023) 🏅

  • AutoCAD Expert Certification – Udemy (2023) 🏅

  • High GPA (4.18/4.3) in Master’s Program – Concordia University, Canada 🎓

  • Recognized for Research in Electrically Conductive Composites & MEMS 🔬

Publication Top Notes

🔬 Beneficial Effect of Low BN Additive on Densification and Mechanical Properties of Hot-Pressed ZrB₂–SiC Composites – 📑 Synth. Sinter. – 🔢 Cited by: 29 – 📅 2021

🔬 PEDOT:PSS-MWCNT Nanocomposite Wire for Routing in Energy Harvesting Devices

🔬 Synthesis and Sintering

Rajeevan Arunthavanathan | Engineering | Best Researcher Award

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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