Faisal Alshami | Machine Learning | Best Researcher Award

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Faisal Alshami | Machine Learning | Best Researcher Award

Dalian University of Technology | China

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Early Academic Pursuits

Faisal Alshami’s academic journey reflects a deep commitment to software engineering and technological innovation. He began his undergraduate studies at Sana’a University, Yemen, earning a BSc in Network Technology and Computer Security (2008–2012). His undergraduate thesis, “General Management System for Plant Protection,” showcased his early ability to integrate security and system management using ASP.NET, C#, and VPN with OSPF protocols, signaling his strong foundation in both networking and software development. Building on this groundwork, Faisal pursued a Master’s in Software Engineering at Northeastern University, China (2019–2022), where he specialized in advanced machine learning techniques. His master’s thesis, “Design and Implementation of Web API Recommendation System Based on Deep Learning,” utilized CNN, BLSTM, K-modes, and Word2Vec, demonstrating his growing expertise in AI-driven software solutions. Currently, Faisal is advancing his academic pursuits with a PhD in Software Engineering at Dalian University of Technology, China, focusing on federated learning, distributed systems, blockchain, edge computing, and graph neural networks (GNNs).

Professional Endeavors

Alongside his academic progression, Faisal has accumulated over 5 years of professional experience in the software and networking industry. His early career as a VoIP Engineer/Developer at Communication Services Company (2013–2015) allowed him to develop communication APIs and optimize large-scale systems. As a Network Manager and Systems Engineer at EliteTecs (2015–2016), he designed high-reliability networks using advanced protocols such as OSPF, EIGRP, and WiMAX, showcasing his expertise in secure and resilient infrastructures. His role as Full-Stack Developer and DevOps Lead at Almorisi Exchange Company (2016–2018) highlighted his ability to manage mission-critical systems with real-time performance and security. Here, Faisal excelled in building scalable architectures, simulation frameworks, and automated DevOps pipelines, which contributed to operational excellence.

Contributions and Research Focus

Faisal’s research is strategically positioned at the intersection of distributed systems, intelligent computing, and aerospace applications. His focus includes:

  • Federated learning and secure communication for multi-agent systems such as satellite constellations.

  • Edge computing and real-time distributed systems tailored for resource-constrained environments.

  • Robust machine learning frameworks for aerospace, automation, and high-reliability embedded systems.

  • Blockchain integration with AI to enhance security in data networks.

  • Simulation and testing methodologies to ensure fault tolerance in mission-critical software.
    This body of research reflects his ambition to address pressing challenges in space exploration, aerospace engineering, and advanced communication networks.

Impact and Influence

Faisal’s impact lies in bridging the gap between theory and applied innovation. His academic research is not confined to publications alone but extends into real-world applications in secure communications, high-availability systems, and intelligent software architectures. By combining his professional experience with cutting-edge research, Faisal has influenced the fields of network security, distributed computing, and AI-driven system optimization, making his contributions valuable to both academia and industry.

Academic Cites

His work has strong potential for academic citations due to its interdisciplinary nature—linking software engineering, AI, networking, and aerospace technologies. His focus on federated learning, blockchain, and edge computing positions his research at the forefront of emerging scholarly and industrial discussions, ensuring that his publications will attract citations in journals focusing on AI, distributed systems, cybersecurity, and aerospace software engineering.

Legacy and Future Contributions

Faisal Alshami is on a trajectory to build a lasting legacy in intelligent, secure, and scalable software engineering systems. His research is particularly impactful in aerospace applications and secure communications, areas that are becoming increasingly vital in a digital and space-driven era. As he progresses with his doctoral research, Faisal is expected to contribute significantly to the development of resilient federated learning frameworks, advanced distributed architectures, and mission-critical simulations. His blend of academic depth and industry experience ensures that his future work will leave a lasting influence on next-generation computing systems and aerospace engineering technologies.

Other Notable Highlights

  • Certifications: Faisal holds multiple certifications, including Neural Networks & Deep Learning (DeepLearning.AI), CCNP, CCNA, and advanced language certifications (Chinese HSK4, English YALI).

  • Training: He gained practical exposure at NEUSOFT Project Training, where he contributed to developing the Borrow-Seller System (BSS) using Java, Spring Boot, Vue.js, and Android Studio.

  • Core Competencies: His expertise spans software architecture, DevOps, distributed systems, full-stack development, secure networking, and agile collaboration.

Conclusion

In conclusion, Faisal Alshami is an emerging leader in the domain of software engineering, distributed systems, and intelligent computing. His academic journey, professional experiences, and research pursuits demonstrate a rare combination of technical mastery, innovation, and practical problem-solving skills. With his ongoing doctoral work and focus on future technologies such as federated learning, blockchain, and aerospace applications, Faisal is poised to make significant contributions that will influence both academia and industry for years to come.

Notable Publications

"A detailed analysis of benchmark datasets for network intrusion detection system" 

  • Author: M Ghurab, G Gaphari, F Alshami, R Alshamy, S Othman
  • Journal: Asian Journal of Research in Computer Science
  • Year: 2021

"Intrusion detection model for imbalanced dataset using SMOTE and random forest algorithm" 

  • Author: R Alshamy, M Ghurab, S Othman, F Alshami
  • Journal: International Conference on Advances in Cyber Security
  • Year: 2021

 

 

Kamta Nath Mishra | Technological Networks | Best Researcher Award

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Dr. Kamta Nath Mishra | Technological Networks | Best Researcher Award

Associate Professor at BIT mesra, India📖

Dr. Kamta Nath Mishra is an Assistant Professor in the Department of Computer Science and Engineering at Birla Institute of Technology (BIT) Mesra, Deoghar Off-Campus. With over 25 years of teaching experience and 8 years in research, he specializes in areas such as operating systems, software engineering, data structures, computer algorithms, data communications, computer networks, programming languages, distributed computing, and Cloud-IoT technologies.

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Education Background🎓

Dr. Mishra earned his Ph.D. in Engineering from BIT Mesra in May 2015, focusing his research on developing a framework for multi-biometric systems aimed at enhancing personal identification techniques. Prior to this, he completed an M.S. in Software Systems from Birla Institute of Technology & Science (BITS), Pilani, in 2003, and a Master of Computer Applications (MCA) from Madan Mohan Malviya Engineering College, Gorakhpur, in 1996. He began his academic journey with a Bachelor of Science in Mathematics from Gorakhpur University in 1992.

Professional Experience🌱

Dr. Mishra’s professional career encompasses both international and national academic positions. Internationally, he served as an Assistant Professor in the Computer Science Department at Sebha University in Libya from October 2006 to July 2009, where he taught and guided research projects for undergraduate students. In India, he has held various roles at BIT Mesra, including Assistant Professor at the Noida Campus from July 2004 to September 2006, and at the main campus in Ranchi since August 2009. Additionally, he worked as a Senior Project Engineer at the Centre for Development of Advanced Computing (CDAC) in Noida, contributing to multiple research projects and teaching postgraduate students.

Research Interests🔬

Dr. Mishra’s research interests are diverse, focusing on areas such as multi-biometric systems, personal identification techniques, image processing and analysis, data communication and networks, distributed computing, and Cloud-IoT technologies. He has guided numerous research projects at both undergraduate and postgraduate levels, contributing to advancements in these fields.

Author Metrics

Throughout his career, Dr. Mishra has published extensively in reputable journals and conferences. His publications cover a range of topics, including data security in cloud-based IoT technologies, deadlock prevention in distributed systems, and multi-biometric systems for personal identification. He has also contributed chapters to edited books and presented papers at international and national conferences.

Publications Top Notes 📄

1. A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies

  • Authors: KN Mishra, C Chakraborty
  • Book: Digital Twin Technologies and Smart Cities
  • Pages: 19-35
  • Citations: 81
  • Year: 2020

2. An Efficient Horizontal and Vertical Method for Online DNA Sequence Compression

  • Authors: KN Mishra, A Aggarwal, E Abdelhadi, DPC Srivastava
  • Journal: International Journal of Computer Applications
  • Volume/Issue: 3 (1)
  • Pages: 39-46
  • Citations: 67
  • Year: 2010

3. Channel Capacity Enhancement Using MIMO Technology

  • Authors: A Kumar, KN Mishra, A Mukherjee, AK Chaudhary
  • Conference: IEEE-International Conference on Advances in Engineering, Science and Management
  • Citations: 36
  • Year: 2012

4. A Novel Approach Towards Using Big Data and IoT for Improving the Efficiency of M-Health Systems

  • Authors: KN Mishra, C Chakraborty
  • Book: Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare
  • Citations: 31
  • Year: 2020

5. Fraud Prediction in Smart Societies Using Logistic Regression and K-Fold Machine Learning Techniques

  • Authors: KN Mishra, SC Pandey
  • Journal: Wireless Personal Communications
  • Volume/Issue: 119 (2)
  • Pages: 1341-1367
  • Citations: 30

Conclusion

Dr. Kamta Nath Mishra is a highly deserving candidate for the Best Researcher Award in Technological Networks. His significant contributions to Cloud-IoT technologies, biometric systems, AI-based fraud detection, and smart city development make him a valuable researcher in the field.

While further industry collaboration, patent development, and expansion into globally recognized journals could strengthen his research impact, his current achievements, diverse expertise, and strong publication record already establish him as a leading researcher.

Thus, Dr. Mishra stands as an outstanding nominee for the Best Researcher Award, recognizing his excellence in technological innovations and scholarly advancements.

Julius Derghe Cham | Technological Networks | Best Researcher Award

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Mr. Julius Derghe Cham | Technological Networks | Best Researcher Award

Teacher at University of Douala, Cameroon📖

Dr. Julius Derghe Cham is an experienced academic and professional in the field of Electrical Engineering, specializing in electrical power systems, electrotechnics, and renewable energy solutions. He has extensive teaching and research experience in various institutions across Cameroon, contributing to the training of future engineers and advancing research in electrical systems. With a strong background in project management, electrical installations, and MATLAB SIMULINK simulation, Dr. Cham is committed to driving innovation in power systems and establishing a consultancy firm.

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Education Background🎓

  • Ph.D. (Ongoing): Electrical Power Systems, University of Douala
  • Master of Engineering: Electrical Power Systems, University of Buea (2018–2021)
  • Master of Research: Electrotechnics, University of Douala (2017–2020)
  • DIPET II & I: Electrotechnics, University of Bamenda (2010–2015)
  • Baccalaureate Technique F3 (Electrical Technology): Government Technical High School Wum (2008)
  • Probatoire Technique F3 (Electrical Technology): Government Technical High School Wum (2007)
  • CAP Industrial in Electrical Equipment: Government Technical College Wum (2005)

Professional Experience🌱

Dr. Cham has extensive experience as both an academic and industry professional. He has served as a part-time lecturer at the University of Bamenda, IUC Douala, and Insam Bafoussam, where he has taught subjects such as Electrical Machines and Drives, Electrical Installations, and Power Systems. In addition, he has worked as an electrotechnician for MV/LV lines and domestic installations at CENELEC Ets and WELL Service Enterprise Company in Douala. His expertise spans project development, cost analysis, and renewable energy system design.

Research Interests🔬

Her research interests include:

  • Electrical power systems and renewable energy
  • Advanced electrotechnics and electrical installations
  • Energy efficiency and smart grid technology
  • Simulation and modeling using MATLAB SIMULINK

Author Metrics

Dr. Cham has contributed to research in electrical engineering, focusing on power systems, electrotechnics, and renewable energy solutions. His publications in various academic forums highlight his commitment to advancing sustainable electrical solutions and innovative teaching methodologies.

Awards and Honors
  • Recognized for excellence in teaching and research at multiple institutions
  • Active participant in pedagogical seminars and technical training workshops
  • Contributor to capacity-building programs for aspiring electrical engineers
Publications Top Notes 📄

1. Robust Adaptive Integral Sliding Mode Control of a Half-Bridge Bidirectional DC-DC Converter

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison
  • Journal: International Journal of Electrical & Computer Engineering (2088-8708)
  • Volume/Issue: 15 (1)
  • Year: 2025
  • Key Focus: This paper presents a robust adaptive integral sliding mode control (RAISMC) approach for a half-bridge bidirectional DC-DC converter, ensuring stability and improved dynamic response under varying load conditions.

2. Accurate and Optimal Control of a Bidirectional DC-DC Converter: A Robust Adaptive Approach Enhanced by Particle Swarm Optimization

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison, PMD Zemgue, NH Alombah
  • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
  • Article Number: 100899
  • Year: 2025
  • Key Focus: This study introduces a robust adaptive control strategy combined with Particle Swarm Optimization (PSO) to enhance the performance and efficiency of bidirectional DC-DC converters, optimizing control parameters for dynamic load conditions.

3. Robust Adaptive Sliding Mode Control of a Bidirectional DC-DC Converter Feeding a Resistive and CPL Based on PSO

  • Authors: JD Cham, FLD Koffi, AT Boum, A Harrison
  • Journal: International Journal of Power Electronics and Drive Systems (IJPEDS)
  • Volume/Issue: 15 (4)
  • Year: 2024
  • Key Focus: The paper explores the application of robust adaptive sliding mode control (RASMC) to a bidirectional DC-DC converter, ensuring stability while feeding both resistive and constant power loads (CPL), with PSO employed to optimize control performance.

Conclusion

Dr. Julius Derghe Cham is undoubtedly a deserving candidate for the Best Researcher Award. His substantial contributions to electrical engineering research, particularly in power systems, renewable energy, and advanced control techniques, position him as a leader in his field. With his solid academic background, research excellence, and dedication to teaching, Dr. Cham’s future in advancing innovative electrical solutions looks promising. Focusing on increasing his global research visibility, engaging in industry partnerships, and expanding the interdisciplinary scope of his work could further solidify his reputation as an influential researcher in the field. His passion for advancing technological networks and sustainability through research makes him an exemplary figure in the scientific community.