Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award

Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award 

Dr. Naser Alsaleh | Industrial Sensors | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Dr. Naser Alsaleh is a highly accomplished industrial and manufacturing engineering scholar with a distinguished academic and professional background spanning research, leadership, and innovation. He earned his Ph.D. in Industrial and Systems Engineering from the University of Minnesota-Twin Cities, where he also completed his Master’s in Industrial and Systems Engineering, following a Bachelor’s degree in Industrial Engineering from King Saud University. With a career rooted in both academia and applied engineering, Dr. Alsaleh currently serves as the Head of the Industrial Engineering Department at the College of Engineering, Imam Muhammad Ibn Saud Islamic University, Saudi Arabia. His professional trajectory includes serving as Vice Dean for Graduate Studies and Scientific Research, Vice Dean for Quality and Development, and Dean of Riyadh College of Technology, demonstrating his consistent leadership in academic management and research excellence. His research interests encompass manufacturing engineering, sustainable production systems, welding and joining technologies, additive manufacturing, supply chain optimization, and sensing technologies for industrial automation. A prolific researcher, Dr. Alsaleh has published over 50 peer-reviewed articles indexed in Scopus and Web of Science, accumulating more than 1,200 citations with an h-index of 20. His works frequently appear in reputable journals such as Journal of Cleaner Production, Annals of Operations Research, Crystals, Aerospace, and Engineering Failure Analysis, reflecting his global impact in sustainable and data-driven manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Alsaleh, N., Li, Y., Palaniappan, M., Kumar, D. T., & Elfar, A. A. (2025). Decision analysis on sustainable manufacturing practices: cross country perspective. Annals of Operations Research.

  2. Ragab, M., Alsaleh, N., El-Sayed Seleman, M. M., Ahmed, M. M. Z., & Ataya, S. (2025). Weld Power, Heat Generation and Microstructure in FSW and SFSW of 11Cr-1.6W-1.6Ni Martensitic Stainless Steel: The Impact of Tool Rotation Rate. Crystals.

  3. Paul, S., Haldar, B., Joardar, H., Mondal, N., & Alsaleh, N. (2025). Single-Step Drilling Using Novel Modified Drill Bits Under Dry, Water, and Kerosene Conditions and Optimization of Process Parameters via MOGA-ANN and RSM. Lubricants.

  4. Xu, S., Alsaleh, N., Kumar, D. T., Palaniappan, M., & Elfar, A. A. (2024). Enabling customer participation for the implementation of sustainable manufacturing. Journal of Cleaner Production.

  5. Thomas, J., Alsaleh, N. A., Ahmadein, M., Elfar, A. A., & Essa, K. (2024). Graded cellular structures for enhanced performance of additively manufactured orthopaedic implants. The International Journal of Advanced Manufacturing Technology.

Dr. Issam AL-Nader | Wireless Sensors Awards | Best Researcher Award

Dr. Issam AL-Nader | Wireless Sensors Awards | Best Researcher Award

Dr. Issam AL-Nader, Middlesex University, United Kingdom

Dr. Issam Alnader is an accomplished academic and industry expert in computer science, specializing in network security, wireless sensor networks, and programming. He holds a PhD in Computer Science from Middlesex University, where his research focused on the dependability of safety-critical wireless sensor networks. With over a decade of teaching experience at Middlesex University and Grafton College of London, Dr. Alnader has delivered courses on information security, cryptography, software engineering, and network management. His industry experience includes serving as a Senior SD-WAN Network Engineer at Vodafone, where he led network optimization, configuration, and incident management for high-priority clients. In earlier roles, he developed online reservation systems and managed IT operations across the UK’s private sector. Dr. Alnader’s technical proficiency spans a wide range of programming languages, simulation tools, and security protocols. A professional member of IEEE and the British Computer Society, he is also certified in Cisco Routing and Switching. Dr. Alnader is passionate about fostering innovation, collaboration, and excellence in both academia and industry.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award conclusion

Dr. I. Alnader appears to be a highly suitable candidate for the Research for Best Researcher Award based on his extensive academic and industry experience. With a PhD in Computer Science, his research has focused on the dependability of safety-critical Wireless Sensor Networks, a crucial area in sensing technology. His strong technical skills in programming, network security, and wireless sensor networks, combined with hands-on experience as a lecturer and industry professional, particularly at Vodafone in SD-WAN Network Engineering, make him an exceptional candidate. His expertise in network management, security, and data analysis further enhances his qualifications for this award. His dedication to research, evidenced by his contributions to both academia and industry, demonstrates his commitment to advancing sensing technologies.

Education 🎓

Doctorate degree, PhD in Computer Science
Middlesex University | 2013 – 2024
Thesis: The dependability of safety-critical Wireless Sensor Networks. (Expected end date: 2018)

Master’s degree, MSc in Computer and Network Security
Middlesex University | 2008 – 2009
Thesis: A fault tolerance and self-healing ability service for wireless sensor networks.
Grade: Distinction

Bachelor’s degree, BSc in Computing
London Metropolitan University | 2004 – 2007
Thesis: Multi-agent mobile web-based system.

Higher diploma, HND in Computer Information Systems
Siblin Training | 2001 – 2003
Thesis: Multi-agent web-based system.

Work Experience 💼

SD-WAN Network Engineer
Vodafone | 2019 – 2022

  • Oversaw SD-WAN managed service for customers, ensuring optimized configurations.

  • Scheduled updates for customer services and participated in meetings with clients.

  • Managed network configurations and executed changes to customer networks and applications.

  • Troubleshot high-priority incidents and ensured resolution within service level agreements.

  • Provided insights and recommendations on network optimization and supported internal and customer training.

Software Developer / Web Support Administrator
Going Offers | 2006 – 2008

  • Developed and maintained online database portal for literature-based content.

  • Collaborated with clients to define project requirements.

  • Contributed to program development using ASP/ASP.NET and JavaScript.

Systems Administrator
Data Management Solution Ltd | 2005 – 2006

  • Provided engineering support for high-profile customers.

  • Assisted in bug reproduction, logging, and escalations.

  • Helped achieve high service and customer satisfaction levels.

System Trainer / IT Manager
Miami Management Ltd | 2004 – 2006

  • Managed data from online bookings and travel agencies.

  • Led the company’s computing services networking team.

  • Administered online database reservation systems and supported debugging.

Achievements 🏆

  • Doctoral Thesis: Developed an in-depth analysis of safety-critical Wireless Sensor Networks for dependability.

  • Master’s Thesis: Created a fault-tolerant and self-healing service for wireless sensor networks, awarded Distinction grade.

  • Cisco Certified Network Associate Routing & Switching (CCNA)

  • International Computer Driver License (ICDL)

  • IEEE & BCS Memberships: Active participation in these prominent professional organizations.

Awards & Honors 🥇

  • Distinction in MSc Computer and Network Security

  • Multiple recognitions for outstanding performance as a Systems Engineer at Vodafone

  • Recognition for outstanding contributions to software development at Going Offers

Publication Top Notes:

A New Perceptron-Based Neural-Network Algorithm to Enhance the Scheduling Performance of Safety–Critical WSNs of Increased Dependability

A Novel Bio-Inspired Bird Flocking Node Scheduling Algorithm for Dependable Safety-Critical Wireless Sensor Network Systems

A Novel Bio-Inspired Bat Node Scheduling Algorithm for Dependable Safety-Critical Wireless Sensor Network Systems

Using Hidden Markov Chain for Improving the Dependability of Safety-Critical WSNs

A Novel Scheduling Algorithm for Improved Performance of Multi-Objective Safety-Critical Wireless Sensor Networks Using Long Short-Term Memory