Farouk Smith | Automotive Industry | Distinguished Scientist Award

Prof. Farouk Smith | Automotive Industry | Distinguished Scientist Award

Prof. Farouk Smith | Professor of Mechatronics Engineering | Nelson Mandela University | South Africa

Academic Background

Farouk Smith has completed advanced qualifications in physics, electrical engineering, and electronic engineering, culminating in doctoral research in electronic engineering. His academic journey spans foundational studies in physics and engineering followed by master’s and doctoral work focused on wireless networks and radiation mitigation in satellite electronics. His research output is reflected in global indexing platforms. On Scopus, his work has accumulated more than 102 citations across close to one 24 documents, with an h-index of 5. His Google Scholar profile shows nearly 197 citations with an h-index of 7 and an i10-index of 6, reflecting consistent scholarly engagement and impact across multiple domains.

Research Focus

His research concentrates on reconfigurable computing, field-programmable gate arrays, space radiation effects on electronics, and mitigation techniques for hardware faults. He has also collaborated on interdisciplinary projects involving biomedical engineering and precision manufacturing.

Work Experience

Farouk Smith has served in senior academic and leadership roles within higher education, including professorial appointments, headship of academic departments, and directorship of an engineering school. His professional journey also includes significant experience in telecommunications engineering and applied research at major national organizations. He has undertaken responsibilities in teaching a broad range of engineering subjects, supervising postgraduate research, managing budgets, guiding departmental strategy, and contributing to institutional development.

Key Contributions

His contributions include pioneering mitigation strategies for radiation effects in FPGA-based systems, development of reconfigurable computing techniques, and collaborative research at the interface of biomedical devices and electronic engineering. His work has also extended to innovation in telecommunications and adaptive circuitry solutions for reliability in harsh environments.

Awards and Recognition

He has received institutional and national recognition for research excellence, innovation, and emerging leadership in engineering. His contributions have earned competitive research ratings and honours for impactful academic performance and technology development.

Professional Roles and Memberships

He is registered as a professional engineer with the national engineering council and holds senior membership in a leading global engineering institute. He has contributed as a reviewer for multiple journals and has served as a guest editor for a special issue in precision manufacturing.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Smith, F., & Mostert, S. (2007). Total ionizing dose mitigation by means of reconfigurable FPGA computing. IEEE Transactions on Nuclear Science, 54, 1343–1349.

Hatefi, S., Smith, F., Abou-El-Hossein, K., & Alizargar, J. (2020). COVID-19 in South Africa: Lockdown strategy and its effects on public health and other contagious diseases. Public Health, 185, 159.

Smith, F. (2013). A new methodology for single event transient suppression in flash FPGAs. Microprocessors and Microsystems, 37, 313–318.

Smith, F. (2012). Single event upset mitigation by means of a sequential circuit state freeze. Microelectronics Reliability, 52, 1233–1240.

Smith, F. (2015). Method and circuit structure for suppressing single event transients or glitches in digital electronic circuits. US Patent 8,975,913.

Impact Statement / Vision

Farouk Smith’s work advances the resilience and reliability of electronic systems used in aerospace, communications, and precision devices. He aims to bridge academic research with practical engineering solutions that strengthen industry readiness and technological innovation. His vision encompasses mentorship, collaboration, and interdisciplinary development to address future challenges in electronics and computing.

Mr. Mohammad Naderi | Vehicular Communications | Smart Cities Technologies Award

Mr. Mohammad Naderi | Vehicular Communications | Smart Cities Technologies Award

Part-time lectrutre, self-employed, Iran

Mohammad Naderi is a dedicated computer engineer and researcher from Iran, specializing in wireless communications and networking. With a strong academic background and practical expertise, he has contributed significantly to the fields of the Internet of Things (IoT), Vehicular Ad Hoc Networks (VANETs), Mobile Ad Hoc Networks (MANETs), and Software-Defined Networking (SDN). His innovative approaches to opportunistic routing and traffic-aware networking solutions have led to impactful publications in high-ranking journals. Alongside his research, he has mentored master’s and Ph.D. students, providing guidance in simulation and network-related studies.

Publication Profile

🎓 Education

Mohammad Naderi pursued his Bachelor of Science (BSc) in Computer Engineering at Hamedan University of Technology, Iran, graduating in 2013. He continued his academic journey with a Master of Science (MSc) in Computer Engineering from Azad University, Science and Research Branch, Tehran, where he achieved an outstanding GPA of 3.44. His academic excellence placed him among the top 15 national rank holders, reflecting his strong grasp of computational and networking concepts.

💼 Experience

With a passion for both academia and practical research, Mohammad Naderi has served as an advisor and lecturer, guiding master’s and Ph.D. students in IoT, VANETs, MANETs, UAV Communications, and SDN Security. Since 2016, he has been actively involved in mentoring students, helping them develop innovative research ideas and simulation models. Additionally, he has worked as a part-time lecturer at Danesh Institute, specializing in NS-2 simulation tools. In 2023, he took on a lecturing role at Islamic Azad University, Pardis Branch, where he taught computer networks and network lab courses, strengthening his expertise in teaching and research.

🏆 Awards and Honors

His exceptional work in computer engineering research earned him the Master of Science Thesis Award from the IEEE Iran Section in May 2019. This prestigious recognition underscores his contributions to the advancement of network communications and routing optimizations.

🔬 Research Focus

Mohammad Naderi’s research primarily revolves around opportunistic routing, VANETs, MANETs, IoT, UAV communications, and software-defined vehicular networks. His work integrates artificial intelligence techniques, including reinforcement learning and fuzzy logic, to optimize vehicular communication protocols. He has also explored hierarchical Q-learning-enabled neutrosophic AHP schemes, adaptive beaconing strategies, and routing efficiency in wireless networks, paving the way for more intelligent and reliable vehicular networking solutions.

🔚 Conclusion

Mohammad Naderi’s expertise in wireless networks, VANETs, SDN, and AI-driven communication systems has positioned him as a leading researcher in the field. His contributions to opportunistic routing and adaptive vehicular networking strategies are highly regarded, making a significant impact on next-generation communication technologies. With a strong commitment to both academic and practical advancements, he continues to push the boundaries of intelligent networking solutions. 🚀

📚 Publications

A 3-Parameter Routing Cost Function for Improving Opportunistic Routing Performance in VANETs – Published in Wireless Personal Communications (2017), this paper explores routing optimizations in VANETs to enhance communication reliability. 🔗 Read more.

Adaptive beacon broadcast in opportunistic routing for VANETs – Featured in Ad Hoc Networks (2019), this study introduces adaptive beaconing techniques to optimize data forwarding efficiency in vehicular environments. 🔗 Read more.

Adaptively prioritizing candidate forwarding set in opportunistic routing in VANETs – Published in Ad Hoc Networks (2023), this research enhances routing protocols using adaptive prioritization mechanisms. 🔗 Read more.

Hierarchical traffic light-aware routing via fuzzy reinforcement learning in software-defined vehicular networks – This 2023 Peer-to-Peer Networking and Applications publication introduces an AI-driven hierarchical traffic-aware routing strategy. 🔗 Read more.

Hierarchical Q-learning-enabled neutrosophic AHP scheme in candidate relay set size adaption in vehicular networks – A Computer Networks (2023) publication that leverages Q-learning and neutrosophic AHP techniques to improve vehicular communication. 🔗 Read more.