Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

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Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

Prof. Dr. Wen-Chung Tsai, National Taichung University of Science and Technology, Taiwan

Prof. Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in Embedded Systems, Internet of Things (IoT), Artificial Intelligence (AI), and Information Security. He earned his Ph.D. in Electronics Engineering from National Taiwan University in 2011 and has since contributed significantly to academia and industry. Dr. Tsai has held key roles at National Taichung University of Science and Technology and Chaoyang University of Technology, where he has mentored students and advanced research in wireless networks, software-hardware integration, and communication protocols. His industry experience includes serving as Deputy Manager at VIA Technologies and as a researcher at the Industrial Technology Research Institute (ITRI), Taiwan. With an extensive publication record, he continues to shape the future of computing and communication technologies.

🌍 Professional Profile 

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Wen-Chung Tsai is a highly qualified candidate for the Best Researcher Award due to his outstanding contributions in Embedded Systems, IoT, AI, and Wireless Communication Protocols. His extensive experience in academia and industry enables him to conduct cutting-edge research while ensuring practical applications in technological advancements. His work in software-hardware integration and information security has paved the way for more secure and efficient digital ecosystems. Having served as an Associate Professor and Researcher, he has led multiple projects that enhance computing, connectivity, and cybersecurity. His ability to bridge theory with real-world implementation demonstrates his excellence in research, making him a deserving recipient of this prestigious award.

🎓 Education 

Dr. Wen-Chung Tsai pursued his Ph.D. in Electronics Engineering from National Taiwan University (2006-2011), where he focused on advanced computing architectures and embedded system design. Before that, he completed his Master’s in Electrical Engineering from National Cheng Kung University (1996-1998), where he specialized in networking protocols and wireless communication technologies. His strong academic foundation in software-hardware integration, AI-driven embedded systems, and IoT security has guided his research endeavors. With interdisciplinary expertise spanning computer science, electronics, and telecommunications, he has consistently contributed to technological innovation and engineering advancements. His academic journey is a testament to his commitment to pushing the boundaries of technology through rigorous research and innovation.

💼 Experience 

Dr. Wen-Chung Tsai has a rich professional background that blends academic excellence with industrial innovation. He currently serves as an Associate Professor at National Taichung University of Science and Technology (2022–Present). Prior to this, he was an Associate Professor at Chaoyang University of Technology (2020–2022) and an Assistant Professor in the same institution (2013–2020). His industry experience includes roles as Deputy Manager at VIA Technologies (2000–2009), Engineer at the Industrial Technology Research Institute (2011–2013), and Visiting Scholar at the University of Wisconsin-Madison (2010). His diverse experience in academia, research institutions, and corporate sectors enables him to drive impactful innovations in IoT, AI, and cybersecurity.

🔬 Research Focus

Dr. Wen-Chung Tsai’s research revolves around cutting-edge technologies in Embedded Systems, IoT, AI, and Cybersecurity. His work in software-hardware integration aims to develop optimized and secure computing environments. His contributions to wireless networks and communication protocols enhance the efficiency of 5G, IoT, and edge computing applications. His AI-driven security models focus on protecting IoT ecosystems from cyber threats. With expertise in real-time embedded computing, he works on power-efficient architectures for smart devices and intelligent networks. His multidisciplinary approach combines electronics, AI, and cybersecurity to develop scalable and resilient technological solutions for future smart cities, industrial automation, and digital transformation.

📊 Publication Top Notes 

  • Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

    • Year: 2024

  • Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

    • Year: 2022

  • Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

    • Year: 2022

  • Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

    • Year: 2020

 

Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

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Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

Ms. Ujunwa Madububa Mbachu, University of Southern Mississippi, United States

Ms. Ujunwa Madububa Mbachu is a Ph.D. candidate in Computer Science (Cybersecurity) at the University of Southern Mississippi, USA. She is a Visiting Instructor at the School of Computing Sciences and Computer Engineering and a Research Associate at the SPEN Lab, focusing on security and privacy in emerging networks. With extensive experience in teaching, research, and industry leadership, she is the President of the Cyberwatch Foundation, promoting inclusivity in cybersecurity education. Her expertise spans cybersecurity, machine learning, cloud computing, and privacy protection. She has received prestigious awards, including the Dissertation Completion Grant and Hall of Fame Induction at her university.

🌍 Professional Profile:

Google Scholar

🏆 Suitability for Best Researcher Award 

Ms. Mbachu is an exceptional candidate for the Best Researcher Award due to her groundbreaking contributions in cybersecurity, privacy, and emerging network security. Her Ph.D. research on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles addresses critical global challenges in data protection and smart transportation. She has authored impactful research, led cybersecurity initiatives, and mentored students in computing sciences. As a leader in the Cyberwatch Foundation, she actively bridges academic research and real-world applications. Her dedication to advancing cybersecurity knowledge and fostering technological inclusivity makes her a highly deserving nominee for this prestigious recognition.

🎓 Education 

Ms. Mbachu is currently pursuing a Ph.D. in Computer Science (Cybersecurity) at the University of Southern Mississippi (2021–2025), with a dissertation on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles, under the supervision of Dr. Ahmed Sherif. She earned an M.Sc. in Information Technology from the National Open University (NOUN), Nigeria (2017), focusing on the socioeconomic implications of national security and privacy systems. Her academic foundation includes a strong background in computer science, cybersecurity, and privacy research, preparing her for innovative contributions in data security, artificial intelligence, and cloud computing.

👩‍💻 Professional Experience

Ms. Mbachu is a Visiting Instructor at the University of Southern Mississippi, teaching computer science and IT courses across various modalities. She has also served as a Graduate Teaching Assistant, mentoring students and supporting research in cybersecurity. As a Research Associate at the SPEN Lab, she actively investigates security and privacy challenges in emerging networks. In the industry, she is the President of Cyberwatch Foundation, driving cybersecurity education initiatives. Her roles in academia and leadership demonstrate her commitment to advancing cybersecurity knowledge and empowering future researchers in the field.

🏅 Awards & Honors

Ms. Mbachu has received numerous accolades, including the 2025 Graduate School Dissertation Completion Grant and Hall of Fame Induction at the University of Southern Mississippi. She was also awarded the 2025 Student Travel Grant for her outstanding contributions to research. In 2021, she was honored with the College of Arts & Science Student Travel Award for her impactful academic work. These recognitions highlight her excellence in cybersecurity research, academic performance, and leadership in technology education. Her commitment to innovation and mentorship in cybersecurity has earned her prestigious acknowledgments from both academic and professional institutions.

🔬 Research Focus 

Ms. Mbachu’s research spans cybersecurity, privacy protection, machine learning, deep learning, and cloud computing. Her work focuses on securing emerging networks, with particular interest in privacy-aware traffic management in autonomous vehicles. She explores how artificial intelligence and cryptographic models enhance data security in smart infrastructures. Her studies also address cloud security, cyber-attack prevention, and AI-driven risk assessments. Through her leadership at the Cyberwatch Foundation, she advocates for inclusive cybersecurity education. Her multidisciplinary research contributes to both theoretical advancements and real-world cybersecurity applications, ensuring safer digital ecosystems in emerging technologies.

📖 Publication Top Notes 

  1. Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
    • Year: 2024
    • Citations: 7
  2. Predictive Machine Learning Approaches for Mental Health Diagnoses in College Students
    • Year: 2024
  3. A Review of Machine Learning Techniques to Predict Mental Health Diagnoses
    • Year: 2024
  1. Secure and Privacy-Preserving Aggregation Scheme for Traffic Management Systems
    • Year: 2023
    • Citations: 2
  2. Hardware-Acceleration Based Privacy-Aware Authentication Scheme for Internet of Vehicles
    • Year: 2024
  3. Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks
    • Year: 2023

 

 

Dr. Obada Al-Khatib | Network Security | Best Researcher Award

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Dr. Obada Al-Khatib | Network Security | Best Researcher Award

Dr. Obada Al-Khatib, University of Wollongong in Dubai, United Arab Emirates

Dr. Obada Al-Khatib is an esteemed researcher and academic specializing in electrical and information engineering. He currently serves as an Assistant Professor and Discipline Leader for Electrical, Computer, and Telecommunications Engineering at the University of Wollongong Dubai. Holding a Ph.D. from The University of Sydney, he has made significant contributions to wireless networks, IoT applications, and AI-driven signal processing. With industry experience as an electrical engineer and memberships in IEEE and Engineers Australia, Dr. Al-Khatib bridges the gap between academia and industry. His dedication to research, mentorship, and technological advancements makes him a prominent figure in engineering education. ⚡📡

🌍 Professional Profile:

Google Scholar

🏆 Suitability for Award

Dr. Obada Al-Khatib’s exceptional contributions to wireless networks, IoT applications, and AI-driven signal processing position him as an outstanding candidate for the Best Researcher Award. His research significantly enhances the optimization and security of modern communication networks, addressing global technological challenges. His leadership as Discipline Leader at the University of Wollongong Dubai demonstrates his commitment to education and innovation. With numerous publications, industry experience, and professional memberships, Dr. Al-Khatib’s work has broad academic and industrial impact. Recognizing his achievements would highlight his role in advancing cutting-edge research in electrical and information engineering. 🏆📶

🎓 Education 

Dr. Obada Al-Khatib holds a Ph.D. in Electrical and Information Engineering from The University of Sydney, Australia (2015), where he focused on optimizing wireless networks and communication systems. He further pursued a Master of Education in Higher Education from the University of Wollongong, Australia (2017), enhancing his expertise in academic leadership and pedagogy. Additionally, he earned a Master of Engineering in Communication and Computer from the National University of Malaysia (2010), where he explored advanced networking technologies. His diverse educational background equips him with a unique combination of technical expertise and teaching excellence. 🎓📡

🔬 Experience 

Dr. Al-Khatib has extensive experience in both academia and industry. Since 2016, he has been an Assistant Professor at the University of Wollongong Dubai, where he also serves as Discipline Leader for Electrical, Computer, and Telecommunications Engineering (since 2022). His industry background includes working as an Electrical Engineer at CCIC in Qatar (2006-2009), gaining hands-on experience in large-scale engineering projects. He has also contributed to educational development by mentoring students and serving on university committees, shaping academic policies. His expertise in wireless networks, AI applications, and network security makes him a leader in the field. ⚡🔧

🏅 Awards and Honors 

Dr. Obada Al-Khatib has received numerous accolades for his contributions to research and academia. His work on wireless networks optimization and AI-driven signal processing has been recognized in IEEE conferences and journals. As an active IEEE member, he has contributed to high-impact publications and technical committees. His role as Discipline Leader at the University of Wollongong Dubai reflects his leadership and dedication to academic excellence. Additionally, his achievements in higher education development and mentoring have earned him recognition within the university. His expertise and contributions continue to influence the evolution of communication engineering. 🏅📡

📶 Research Focus 

Dr. Al-Khatib’s research spans wireless networks optimization, IoT applications, AI-driven signal processing, machine learning, mobile edge computing, and network security. His work focuses on enhancing network performance, ensuring secure communications, and leveraging AI for smarter signal processing. His studies in 5G/6G networks, cloud computing, and energy-efficient communications contribute to next-generation network advancements. Additionally, his research on IoT security and edge computing addresses challenges in data privacy and system resilience. By integrating AI and machine learning into wireless networks, Dr. Al-Khatib pioneers innovations that drive the future of smart connectivity. 🌍📶

📖 Publication Top Notes 

  • Traffic Modeling and Optimization in Public and Private Wireless Access Networks for Smart Grids
    • Year: 2014
    • Citations: 30
  • Traffic Modeling for Machine-to-Machine (M2M) Last Mile Wireless Access Networks
    • Year: 2014
    • Citations: 29
  • Spectrum Sharing in Multi-Tenant 5G Cellular Networks: Modeling and Planning
    • Year: 2018
    • Citations: 26
  • Queuing Analysis for Smart Grid Communications in Wireless Access Networks
    • Year: 2014
    • Citations: 10
  • Pursuit Learning-Based Joint Pilot Allocation and Multi-Base Station Association in a Distributed Massive MIMO Network
    • Year: 2020
    • Citations: 8

 

Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu | Cybersecurity | Best Researcher Award

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Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu | Cybersecurity | Best Researcher Award

Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu | Fırat University | Turkey

📌 Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu is a distinguished researcher in Applied Mathematics, Cryptology, and Cybersecurity. He holds dual PhDs—one in Applied Mathematics from Fırat University (Türkiye) and another in Cryptology from Vector Sciences Academy (Azerbaijan). With expertise in cybersecurity, cryptographic systems, and artificial intelligence, he has worked with institutions like Fırat University, National Defense University, and Ahmet Yesevi University. His research spans random number generation, blockchain, and quantum computing, and he has published extensively in international journals. A member of multiple prestigious associations, he is actively involved in COST projects and TÜBİTAK-funded research.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu is a highly deserving candidate for the Best Researcher Award due to his groundbreaking contributions to Applied Mathematics, Cryptology, and Cybersecurity. His dual PhDs and extensive work with academic and defense institutions highlight his expertise and leadership in these critical fields.

Education & Experience

  • Ph.D. in Applied Mathematics – Fırat University (2013)
  • Ph.D. in Cryptology – Vector Sciences Academy, Azerbaijan
  • M.Sc. in Applied Mathematics – Fırat University (1995)
  • B.Sc. in Mathematics – Fırat University (1992)
  • B.Sc. in Mathematical Engineering – Istanbul Technical University (1997)
  • B.Sc. in Computer Engineering – Texas A&M University (2017)
  • International Relations (English, Ongoing) – Anadolu University
  • Senior Associate Professor – Fırat University (2015-Present)
  • Lecturer & Researcher – National Defense University (2017-Present)
  • Lecturer – Ahmet Yesevi University
  • Postdoctoral Researcher – Technical University of Berlin (2014)
  • Head of Department & Teacher – Private Sector (1988-2004)
  • Chairman of the Board – TEB Eğitim Hizmetleri (2004-2010)

Professional Development

📚 Dr. Gençoğlu has actively contributed to cybersecurity, cryptographic modeling, and artificial intelligence. He has received specialized training in ISO 27001 Information Security, Cyber-Terrorism, and Cyber Defense. As an academic advisor, he has guided over 50 master’s theses, including current research on cryptocurrency analysis using deep learning. He has led major TÜBİTAK-funded projects and is a member of international research groups like COST Actions. His collaborations with global cybersecurity organizations showcase his dedication to strengthening data security and cryptographic resilience.

Research Focus

🔬 Dr. Gençoğlu’s research spans applied mathematics, cybersecurity, cryptology, and artificial intelligence. His TÜBİTAK 1002 project explored random number generation through chemical reactions, a crucial innovation in cryptographic security 🔢. His work in blockchain, quantum cryptography, and network security addresses threat modeling, privacy preservation, and cyber intelligence 🔐. As a principal investigator in CHIST-ERA Distributed Systems, he contributes to privacy-enhancing cryptographic techniques. His contributions in COST Actions on mathematical modeling, quantum networks, and biological computation further cement his role as a leader in future-proof cryptographic systems.

Awards & Honors

🏆 Awards & Recognitions:

  • TÜBİTAK 1002 Grant – Project on Random Number Generation using Chemical Reactions 🏅
  • COST Action Leadership – Contributions to CA18232, CA21109, CA21169 🌍
  • Researcher in Distributed AI Lab – Technical University of Berlin (2014) 🤖
  • ISO 27001 Information Security Certification – IRCA-IPC 🛡️
  • Cybersecurity & Cyber-Terrorism Certifications – Various Institutions 🔓

Publication Top Notes:

  • 🔬 Use of quantum differential equations in sonic processes – Applied Mathematics and Nonlinear Sciences,  (Cited by: 62)
  • 🔐 Importance of Cryptography in Information Security – IOSR Journal of Computer Engineering (IOSR-JCE),  (Cited by: 43)
  • 🧠 Numerical simulations to the nonlinear model of interpersonal relationships with time fractional derivative – AIP Conference Proceedings,  (Cited by: 43)
  • 🔓 Cryptanalysis of a new method of cryptography using Laplace transform hyperbolic functions – Communications in Mathematics and Applications,  (Cited by: 24)
  • 🔢 Use of integral transform in cryptology – Science and Engineering Journal of Fırat University,  (Cited by: 18)
  • 🏫 Ortaokul öğrencilerinin bilgi güvenliği farkındalığı – Savunma Bilimleri Dergisi,  (Cited by: 10)

Assist Prof Dr. Ahmad Hani El Fawal | Securing IoT networks | Best Researcher Award

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Assist Prof Dr. Ahmad Hani El Fawal | Securing IoT networks | Best Researcher Award

Assist Prof Dr. Ahmad Hani El Fawal, ENSTA-Bretagne, France

Dr. Ahmad Hani El Fawal is a distinguished telecommunications expert with a Ph.D. from ENSTA-Bretagne, France (2018) and a Master’s in Computer Science & Communication from the Arts Sciences and Technology University in Lebanon (2010). Currently serving as an Associate Researcher at Lab-STICC, ENSTA-Bretagne since April 2021, Dr. El Fawal is recognized for his significant contributions to telecommunications research. His academic career includes roles as an Assistant Professor at AUL, AUCE, and MUBS since December 2018, and as a Lecturer and Lab Instructor at Arts Sciences and Technology University in Lebanon from 2006 to 2018. A Senior Member of IEEE since December 2020, Dr. El Fawal’s professional journey is marked by a post-doctoral fellowship at Lab-STICC, ENSTA-Bretagne, underscoring his dedication to advancing telecommunications and fostering academic excellence.

Professional Profile:

Orcid
Scopus

🎓 Educational Background:

  • Ph.D. in Telecommunications from ENSTA-Bretagne, France (2018) 📡
  • Master in Computer Science & Communication from Arts Sciences and Technology University in Lebanon (2010) 🎓

🏫 Academic Positions:

  • Associate Researcher at Lab-STICC, ENSTA-Bretagne since April 2021, contributing to cutting-edge research in telecommunications 📚
  • Assistant Professor at AUL, AUCE, and MUBS since December 2018, fostering academic growth and imparting knowledge 🎓
  • Lecturer and Lab Instructor at Arts Sciences and Technology University in Lebanon (2006-2018), delivering comprehensive networking courses and ICT programs both in-person and online 🖥️

🔬 Professional Achievements:

  • IEEE Senior Member since December 2020, recognizing professional excellence 🌐
  • Post-Doctoral Fellowship at Lab-STICC, ENSTA-Bretagne (2019-2020), advancing research in telecommunications 🔬

📖 Publications:

  • Published numerous articles in esteemed international conferences and journals, including the Journal of Engineering, IET Communication, and IEEE conferences 📝

🔍 Research Interests:

  • Current research focuses on IoT, MIoT, IoT Security, and Cybersecurity, aiming to address critical challenges in these domains 🔐

Publication Top Notes:

  1. Title: Securing IoT Networks from DDoS Attacks Using a Temporary Dynamic IP Strategy
    • Year: 2024
  2. Title: The Impact of Healthcare Traffic Over H2H and M2M Networks During the Spread Phase of Pandemic Diseases
    • Year: 2022
  3. Title: Ground Target Finding Mechanism for Unmanned Aerial Vehicles to Secure Crop Field Data
    • Year: 2021
  1. Title: CTMC Modeling for M2M/H2H Coexistence in a NB-IoT Adaptive eNodeB
    • Year: 2018
    • Citations: 1
  2. Title: LTE-M Adaptive eNodeB for Emergency Scenarios
    • Year: 2017
    • Citations: 3