Chithik Raja Mohamed Sinnaiya | Cyber Security | Research Excellence Award

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Dr. Chithik Raja Mohamed Sinnaiya | Cyber Security | Research Excellence Award

Dr. Chithik Raja Mohamed Sinnaiya is a researcher at the University of Technology and Applied Sciences, Salalah, Oman, specializing in big data analytics, cybersecurity, and intelligent systems. With 6 publications, 76 citations, and an h-index of 3, his work focuses on advanced anomaly detection using attention-enhanced LSTM models for identifying zero-day attacks while preserving data privacy. His research contributes to developing secure, scalable, and privacy-aware solutions for real-time data stream analysis in modern digital environments.

Citation Metrics (Scopus)

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Citations 76

Documents 6

h-index
3

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Featured Publications

Privacy-Preserving Machine Learning Models for Cybersecurity Applications
– Research Article

Deep Learning Approaches for Real-Time Anomaly Detection in Data Streams
– Journal Article

Big Data Analytics for Intrusion Detection Systems: Challenges and Opportunities
– Review Paper

AI-Driven Security Frameworks for Detecting Zero-Day Cyber Threats
– Conference/Journal

Scalable and Privacy-Aware Data Stream Processing using LSTM Networks
– Research Work

Afef Jmal Maalej | Blockchain | Women Researcher Award

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Mrs. Afef Jmal Maalej | Blockchain | Women Researcher Award

Mrs. Afef Jmal Maalej, Faculty of Economics and Management of Sfax – University of Sfax, Tunisia

Mrs. Afef Jmal Maalej (b. 1984, Tunisia) is an Associate Professor at the University of Sfax and a leading researcher at the ReDCAD Laboratory. 🧠 She holds a PhD in Computer Systems Engineering with highest honors and specializes in software engineering, automated testing, and blockchain security. 🔐💻 With over a decade of teaching and research, she has supervised numerous theses and contributed to cutting-edge innovations in web services and smart contract testing. 📚🔍 A multilingual academic and certified Scrum specialist, she actively integrates AI and emerging technologies into education and research

Publication Profile

Google Scholar

🎓 Educational Background

Mrs. Afef Jmal Maalej has demonstrated outstanding academic excellence throughout her educational journey. 🎓 From 2010 to 2016, she earned her PhD in Engineering of Computer Systems from the National School of Engineers of Sfax (ENIS), University of Sfax, Tunisia, graduating with the highest honour. 🧠 Prior to that, she completed a Master’s in Systems of Information and Dedicated New Technologies (2008–2009) with distinction. 📡 Her foundational training in Computer Science Engineering (2005–2008) at the same institution also earned her top honors. 💻 These achievements reflect her deep commitment to excellence in computing and research.

👩‍🏫 Professional Experience

Mrs. Afef Jmal Maalej has built a distinguished academic and research career at the University of Sfax, Tunisia. 🌍 Since 2018, she has served as an Associate Professor, contributing to higher education and advanced research. From 2013 to 2018, she worked as a University Assistant, following her earlier role as a Contractual Assistant from 2008 to 2013. 📚 Since 2010, she has been an active researcher at the ReDCAD Laboratory, where she explores software engineering, system testing, and blockchain technologies. 🔬 Her continuous academic engagement reflects her dedication to education, innovation, and knowledge dissemination.

📜 Training & Certifications

Mrs. Afef Jmal Maalej has actively pursued professional development through diverse certifications and training programs. 🎓 In 2022, she earned certifications in Scrum Fundamentals, Machine Learning with Python (CDOSS), and ISO 21001 Standard Requirements. 🧠 Her earlier training includes the 2019 Deep Learning INDABAX, and several 2017 workshops on Big Data, IoT, Mobile Platforms, and Open Educational Resources. 💻 She also completed training in computer skills and citizen education via the Virtual University of Tunisia. 🌐 Notably, in 2016, she attended the Spring School on Big Data, and in 2014, explored IP rights in software.

🔬 Research Focus

Mrs. Afef Jmal Maalej’s research is deeply rooted in software engineering, focusing on model-based testing, Web services, and smart city technologies. 🏙️ Her work explores security and load testing, especially in WS-BPEL compositions, IoT applications, and blockchain-based systems. 🔐📊 She has contributed to advancing automated testing, performance evaluation, and smart contract validation using formal and resource-aware frameworks. 🧪 Her interdisciplinary efforts integrate machine learning, cybersecurity, and distributed systems, aligning her with the evolving demands of critical infrastructures and digital innovation. 💡 Her impactful research supports smarter, safer, and more resilient digital environments.

Publication Top Notes

📘 Security testing of IoT for smart city applications: A formal approach – 🔁 Cited by 70 – 📅 2020 🏙️🔐
📘 Towards a model-based testing framework for IoT security – 🔁 Cited by 59 – 📅 2018 🧪🏙️
📘 Model-based conformance & load tests: eHealth case study – 🔁 Cited by 58 – 📅 2018 🏥📊
📘 Distributed & resource-aware load testing of WS-BPEL – 🔁 Cited by 56 – 📅 2018 ⚙️🌐
📘 Load & functional tests for SOA: A model-based approach – 🔁 Cited by 53 – 📅 2016 🧩🧪
📘 Automated significant load testing for WS-BPEL – 🔁 Cited by 52 – 📅 2013 🔄⚙️
📘 Model-based conformance testing of WS-BPEL – 🔁 Cited by 52 – 📅 2012 🧪📘
📘 WS-BPEL conformance testing under load conditions – 🔁 Cited by 51 – 📅 2012 ⚙️📈
📘 Review of Testing Blockchain-Oriented Software – 🔁 Cited by 29 – 📅 2022 ⛓️🧠
📘 Limitations of WS-BPEL under load conditions – 🔁 Cited by 24 – 📅 2015 📉🛠️
📘 Aspect-oriented checkpointing of web services – 🔁 Cited by 23 – 📅 2010 💾🔁
📘 Evaluation of load & stress testing approaches – 🔁 Cited by 19 – 📅 2015 🔬📊
📘 Checkpointing for orchestrated web services – 🔁 Cited by 17 – 📅 2009 🧵🔁

Jamshed AliShaikh | Cybersecurity | Best Researcher Award

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Dr. Jamshed AliShaikh | Cybersecurity | Best Researcher Award

Dr. Jamshed AliShaikh at Chongqing University, China

Jamshed Ali  is a Ph.D. candidate in Computer Science & Technology at Chongqing University, China 🇨🇳, with over 7 years of research experience and 4+ years of industry and academic roles. His work bridges AI 🤖, cybersecurity 🔐, and healthcare technologies 🏥. He has contributed to high-impact projects funded by Chinese research councils and has published multiple Q1-ranked journal articles 📚. Jamshed is known for his collaborative spirit, technical versatility, and commitment to using AI for societal benefit 🌍. He is fluent in programming and simulation tools and is a recognized young researcher from Pakistan 🇵🇰.

Publication Profile

Google Scholar

Academic Background

Jamshed Ali earned his Ph.D. in Computer Science & Technology (2020–2025) from Chongqing University, focusing on intelligent intrusion detection for IoMT healthcare networks 🛡️🏥. He completed his MS in Electrical Engineering (2018–2020) at the same university, working on AI-based optimization in smart grids ⚡ using fuzzy logic and control systems. He holds a BS in Electronics (2010–2014) from the University of Sindh, Pakistan, where he explored smart robotics 🤖 for disaster response. His academic path reflects a strong foundation in electronics, AI, and system-level problem-solving 💡 across interdisciplinary domains.

Professional Background

Jamshed Ali has over 4 years and 5 months of professional experience 🧠💻, including work as a Lecturer and IT In-Charge 👨‍🏫 at HIMAS-CON (3+ years), where he taught computer science and led IT operations. He worked as a PHP Developer 💻 at Geeks of Kolachi, managing web development projects. During his internship at Chongqing Kaixinderui, he gained practical experience in engineering teamwork and cultural integration 🤝🇨🇳. Alongside his academic research, these roles reflect a hands-on approach to both technical development and educational leadership in IT and cybersecurity domains 🔐🧑‍🏫.

Awards and Honors

Jamshed Ali received a fully funded 🎓 Chinese Government Scholarship for both his MS and Ph.D. studies in 2018 and 2020 🇨🇳. He was named the “Outstanding Student of the Year” 🥇 in 2020 at Chongqing University for academic excellence and leadership. He also won “Best Speaker” 🎤 at the China-Pakistan Culture and Technology Conference, where he presented on AI’s transformative role across healthcare, education, and manufacturing 🚀. These accolades reflect his academic impact, communication skills, and international recognition 🌍 in the field of intelligent systems and research innovation 🧪.

Research Focus

Jamshed’s research centers on cybersecurity in IoMT and Industrial IoT 🌐, with a focus on machine learning and deep learning 🔍 for intrusion detection, especially detecting zero-day attacks 🚨. He explores federated learning, edge/cloud computing ☁️, secure communication protocols, and medical image processing 🖼️ to enhance healthcare data security 🛡️. His work contributes to intelligent, privacy-preserving healthcare systems, backed by publications in high-impact journals 📘. Jamshed combines theory and application, building intelligent systems that respond to real-world threats while pushing the boundaries of AI in digital health and critical infrastructure 💡🧠.

Publication Top Notes

🔋 Voltage Stability Index using new single-port equivalent based on component peculiarity and sensitivity persistence
Year: 2021 | 📖 Cited by: 11

🌡️ Temperature field simulation and ampacity optimization of 500kV HVDC submarine transmission cable
Year: 2021 | 📖 Cited by: 10

🛰️ A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
Year: 2023 | 📖 Cited by: 9

🌞 A Reliable Approach to Protect and Control of Wind Solar Hybrid DC Microgrids
 Year: 2019 | 📖 Cited by: 9

Conclusion

Based on his outstanding academic record, impactful research in cybersecurity and IoMT, high-quality publications in Q1 journals, and significant involvement in both funded research projects and technical roles, Jamshed Ali stands out as a highly deserving candidate for the Best Researcher Award. His work on intelligent intrusion detection systems using AI and deep learning contributes to a critical and emerging field, particularly in healthcare network security. Coupled with his strong technical proficiency, 7 years of research experience, multiple honors—including CSC scholarships and recognition as an outstanding student and speaker—Jamshed Ali exemplifies excellence in early-career research and innovation.

Madhura K | Blockchain Technology | Best Researcher Award

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Dr. Madhura K | Blockchain Technology | Best Researcher Award

Dr. Madhura K, Manipal Institute Of Technology Bengaluru, India

Dr. Madhura K is an Assistant Professor (Senior Scale) in the Department of Information & Communication Technology at MIT, Bangalore. She holds a Ph.D. from Presidency University (2022), specializing in AI-driven Content Management Systems with Blockchain integration. With 13 years of teaching and 5 years of research experience, she has contributed extensively to academia with 7 journal publications, 4 conference papers, 10 workshops, and 2 published books. Passionate about cognitive computing, AI, and blockchain, she actively explores emerging technologies to enhance digital ecosystems.

Publication Profile

Google Scholar

🎓 Education

Dr. Madhura K earned her B.E. in Computer Science and Engineering from Visvesvaraya Technological University, K.V.G.C.E. Sullia (2008). She further pursued her M.E. in Computer Science and Engineering from Anna University, PMC TECH-Hosur (2015). In 2022, she obtained her Ph.D. from Presidency University, focusing on AI and Blockchain-embedded Content Management Systems with cognitive processing. Her multidisciplinary academic background equips her with expertise in intelligent data systems, machine learning, and secure content distribution.

🏆 Awards & Honors

Dr. Madhura K has been recognized for her research contributions in AI-integrated blockchain systems. She has received multiple academic accolades for her excellence in teaching and research, with awards for best paper presentations at international conferences. Her contributions to AI-driven content management and secure digital systems have earned her institutional recognition. She is an active member of scholarly communities, contributing to AI, blockchain, and cognitive computing research.

📚 Experience

Dr. Madhura K has 13 years of teaching experience, mentoring students in AI, blockchain, and data systems. She has guided research scholars in advanced computing domains, emphasizing secure content management and cognitive processing. With 5 years of research experience, she has worked on AI-powered content optimization and blockchain security. Her academic journey includes publishing in reputed journals, presenting at conferences, and organizing technical workshops to bridge theoretical learning with practical applications.

🔬 Research Focus

Dr. Madhura K’s research focuses on AI-driven Content Management Systems, integrating blockchain for enhanced security and cognitive computing for intelligent processing. She explores innovative AI models to automate content organization and retrieval, improving efficiency in digital ecosystems. Her work emphasizes decentralized networks, ensuring secure and transparent content access. Additionally, she investigates the role of deep learning in enhancing natural language processing for content optimization.

Publication Top Notes

1️⃣ Analysis of residual stress in SS321 laser butt-welded plates using finite element analysis – Cited by: 12 | Year: 2024 🏗️📊
2️⃣ Usage of blockchain in real estate business for transparency and improved security – Cited by: 7 | Year: 2022 🏠🔗
3️⃣ End2end unstructured data processing, confidential data structuring & storage using image processing, NLP, ML, and blockchain – Cited by: 3 | Year: 2022 🤖🔐
4️⃣ Designing an optimized confidential-data management system using preeminent access-control and blockchain – Cited by: 2 | Year: 2022 🔑📂
5️⃣ Survey on technologies, benefits, challenges, and future suggestions to improvise the data security of confidential academic records in India – Cited by: 2 | Year: 2021 🎓🔒
6️⃣ Applying cryptography and blockchain technology to secure an organization’s confidential documents – Cited by: 1 | Year: 2022 🔐🏢
7️⃣ Securing the organization documents in content management system with two levels of security using encryption and blockchain technology – Cited by: 1 | Year: 2021 📁🔗
8️⃣ An approach for securing organizational data using blockchain and cryptography – Cited by: 1 | Year: 2020 🛡️💾
9️⃣ IoT-based wireless networks in hospitals: Ensuring seamless communication in critical situations – Cited by: 0 | Year: 2025 🏥📡
🔟 Software-defined network (SDN)-based data server computing system – Cited by: 0 | Year: 2025 💾🌐

 

 

Ahcene Bounceur | Cybersecurity | Best Researcher Award

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Dr. Ahcene Bounceur | Cybersecurity | Best Researcher Award

Associate Professor at  University of Sharjah, United Arab Emirates.

Dr. Ahcene Bounceur is an Associate Professor at the University of Sharjah, specializing in cybersecurity, IoT, smart cities, and data science. Previously, he held faculty positions at KFUPM and University of Western Brittany (UBO), where he was a senior associate professor and qualified for professorship .He earned his Ph.D. in Micro and Nano Electronics from Grenoble INP, France, in 2007 and an HDR (State PhD) in Computer Science in 2014. His research includes Digital Twin tools for smart infrastructure security, pseudo-polygons for cybersecurity, and simulation tools for WSN and IoT. Dr. Bounceur is the main developer of Cup Carbon, a renowned IoT network simulator, and has led projects like ANR PERSEPTEUR and Suidia. He has 200+ publications, served as a keynote speaker, and held editorial roles in journals like MDPI Sensors. Recognized for his contributions, he won 3rd place in the IEEE TTTC Doctoral Thesis Contest and holds a patent for an IoT-based digital health platform.

Publication Profile

Scopus

🎓Academic Qualifications of Ahcene Bounceur

Dr. Ahcene Bounceur is a distinguished computer scientist with expertise in microelectronics, data mining, and wireless sensor networks. He earned his HDR (State PhD) in Computer Science from the University of Western Brittany (UBO) in 2014, focusing on models and simulation for mixed circuit testing. In 2007, he obtained a PhD in Micro and Nanoelectronics from the TIMA Laboratory (Grenoble), specializing in computer-aided test platforms. His M.Sc. in Operations Research (2003) and Engineering degree (2002) were awarded in Grenoble and Bejaia, respectively. Additionally, he gained early programming experience in 1995 at the Micro-Services School of Béjaia. 💻📡

Professional Background

Dr. Ahcene Bounceur is an Associate Professor at the University of Sharjah (2024–Present) and previously held the same role at KFUPM (2023–2024). Since 2014, he has been qualified for professorship at the University of Western Brittany (UBO), where he served as a Senior Associate Professor (2020–2023) and Associate Professor (2008–2020). His earlier roles include Assistant Professor at ENSERG (2007–2008) and Postdoctoral Researcher at TIMA Laboratory (2006–2007). He has also held leadership roles, including Head of Computer Science at UBO (2011–2023) and Member of France’s National Council of Universities (2021–2023). 🏫📡

🔬 Research Focus of Ahcene Bounceur

Dr. Ahcene Bounceur’s research spans Artificial Intelligence , Cybersecurity , Data Mining , and Circuit Testing . Since 2012, he has focused on Collaborative AI (CupCarbon Klines simulator), Digital Twin IoT for cybersecurity in critical infrastructures, pseudo-polygons for polygonal hull determination, and statistical modeling for sensor networks. From 2002–2012, his work emphasized manufacturing process variations, Monte Carlo simulations for test metrics, and non-linear circuit modeling using copula theory. His interdisciplinary expertise integrates AI, IoT, cybersecurity, and statistical modeling to enhance smart infrastructures and sensor networks. 🚀📡

Publication Top Notes

🔹 A Secure and Lightweight ZKP-based Mutual Authentication Scheme with Key Agreement
      Year: 2025 |  Arabian Journal for Science and Engineering |

🔹 Integrating Homomorphic Encryption in IoT Healthcare Blockchain Systems
      Year: 2024 | Ingenierie des Systemes d’Information |

🔹 Blockchain Use Cases in the Sports Industry: A Systematic Review
     Year: 2024 |  International Journal of Networked and Distributed Computing | 🔍 Citations: 3

Conclusion

Ahcene Bounceur is a distinguished researcher with a strong record of high-impact publications, including multiple papers in Q1 journals, some ranking in the top 4%, 8%, and 12%, highlighting his significant research influence. His expertise spans diverse areas such as watermarking, wireless sensor networks (WSN), digital twins, security protocols, data mining, and circuit design, demonstrating interdisciplinary proficiency. His recent and consistent contributions, particularly in 2024 and 2025, reflect his sustained excellence in research. Additionally, his collaborations with leading researchers and institutions showcase his global research impact and networking strength. These achievements make him a strong contender for the Best Researcher Award. 🚀