Hamid Haj Seyyed Javadi | Computer Engineering | Outstanding Scientist Award

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Prof. Dr. Hamid Haj Seyyed Javadi | Computer Engineering | Outstanding Scientist Award

Prof. Dr. Hamid Haj Seyyed Javadi,  shahed University, Iran.

Prof. Hamid Haj Seyyed Javadi is a leading Iranian academic in computer engineering with nearly two decades of experience. He holds advanced degrees in mathematics and computer science from Amirkabir University of Technology. His research interests cover algorithms theory, security networks, computer algebra, and non-commutative algebra. Through his professorship at Shahed University, he has influenced many through both research and mentorship, earning repeated recognition for his excellence in teaching and innovation.

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🎓 Early Academic Pursuits

From an early stage in his academic journey, Prof. Hamid Haj Seyyed Javadi displayed a profound interest in the interplay between mathematics and computer science. He began his higher education at the prestigious Amirkabir University of Technology in Tehran, where he earned both his M.Sc. in Computer Mathematics and Computer Science in 1996 and his Ph.D. in Mathematics and Computer Science in 2003. His academic foundation was deeply rooted in rigorous mathematical logic and computational theories, which laid the groundwork for his future innovations in algorithms and security.

🧠 Professional Endeavors in Academia

Prof. Javadi currently holds a professorship in the Department of Computer Engineering at Shahed University in Tehran. Over the course of nearly two decades, he has built a distinguished career in both teaching and research. His role goes beyond the classroom—he has been actively involved in curriculum development, graduate supervision, and collaborative academic projects. His dedication has significantly elevated the academic reputation of the university’s computer engineering program.

🔐 Contributions and Research Focus

Prof. Javadi’s research focus spans several cutting-edge domains within computer science. He is particularly renowned for his theoretical contributions to algorithms, the architecture of secure networks, and his exploration into computer algebra. Notably, his studies in non-commutative algebra and its application to computational systems have positioned him as a thought leader in theoretical computing. His work often bridges abstract mathematical concepts with practical engineering challenges, offering robust solutions to problems in cybersecurity and symbolic computation.

🏆 Accolades and Recognition

Throughout his career, Prof. Javadi has garnered widespread recognition for his academic excellence. His unwavering commitment to research and education has earned him the title of Top Researcher at Shahed University more than ten times. Furthermore, he has been celebrated as an Exemplary Professor on several occasions, a testament to his impactful teaching style and mentorship. These accolades reflect not only his scholarly achievements but also his dedication to nurturing the next generation of engineers and researchers.

🌐 Impact and Influence

Prof. Javadi’s influence extends far beyond the university walls. Through the supervision of numerous graduate and doctoral theses, he has shaped the careers of many budding scientists and engineers who now contribute to academia and industry both within Iran and internationally. His research in security networks and computational algebra continues to inspire scholarly discourse, and his published works are frequently cited by fellow researchers across the globe.

🔍 Legacy of Innovation

His pioneering efforts in algorithmic theory and secure network design represent a lasting legacy in computer science education and research. Prof. Javadi’s approach combines deep theoretical insights with real-world applicability, ensuring that his contributions remain relevant in a rapidly evolving technological landscape. His legacy is not only embedded in his scholarly output but also in the academic culture he has fostered—a culture of inquiry, rigor, and innovation.

Publication

  • Title: Internet of Things applications: A systematic review
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2019

 

  • Title: Service composition approaches in IoT: A systematic review
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2018

 

  • Title: A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
    Authors: S Akhbarifar, H Haj Seyyed Javadi, AM Rahmani, M Hosseinzadeh
    Year: 2020

 

  • Title: Cyber kill chain-based taxonomy of advanced persistent threat actors: Analogy of tactics, techniques, and procedures
    Authors: PN Bahrami, A Dehghantanha, T Dargahi, RM Parizi, KKR Choo, …
    Year: 2019

 

  • Title: Using particle swarm optimization for robot path planning in dynamic environments with moving obstacles and target
    Authors: AZ Nasrollahy, HHS Javadi
    Year: 2009

 

  • Title: Using cipher key to generate dynamic S-box in AES cipher system
    Authors: R Hosseinkhani, HHS Javadi
    Year: 2012

 

  • Title: Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm
    Authors: T Mohammadpour, AM Bidgoli, R Enayatifar, HHS Javadi
    Year: 2019

 

  • Title: Internet of Things architecture challenges: A systematic review
    Authors: T Samizadeh Nikoui, AM Rahmani, A Balador, H Haj Seyyed Javadi
    Year: 2021

 

  • Title: A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform
    Authors: P Asghari, AM Rahmani, H Haj Seyyed Javadi
    Year: 2019

 

  • Title: Privacy-aware cloud service composition based on QoS optimization in Internet of Things
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2022

 

🔚 Conclusion

Prof. Javadi’s academic journey reflects a harmonious blend of intellectual depth, research excellence, and educational impact. As both a scientist and an educator, he continues to push the boundaries of knowledge while inspiring future leaders in computer engineering. His legacy is secure, and his ongoing work assures a continued contribution to the global research community.

 

Maria Habib | Optimization | Best Researcher Award

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Ms. Maria Habib | Optimization | Best Researcher Award

Ms. Maria Habib, Granada University/ Samsung R&D (SRJO), Jordan.

Maria Habib is a distinguished researcher and AI engineer whose journey spans academia and industry. With a strong foundation in Computer Engineering, she advanced her expertise through a Master’s in Web Intelligence and is currently pursuing a Ph.D. in Information Technology and Communication. Maria’s professional endeavors include leading AI projects at Samsung R&D, transforming telehealth services at Altibbi, and contributing to bioinformatics at McGill University. Her research focuses on artificial intelligence, machine learning, evolutionary algorithms, and NLP, producing innovative solutions and influential publications. Her work has significantly impacted telemedicine, educational data mining, and speech technologies, establishing her as a transformative force in AI.

Profile

Scholar

Early Academic Pursuits 🎓

Maria Habib embarked on her academic journey with a robust foundation in Computer Engineering, earning her Bachelor’s degree from the University of Jordan in 2014. Demonstrating early promise, she excelled in her Master’s program in Web Intelligence at the prestigious King Abdullah II School for Information Technology, attaining an outstanding GPA of 3.91/4. Her passion for leveraging technology to address real-world challenges was evident from the outset, as she explored advanced concepts in information systems and web technologies. Maria is currently pursuing her Ph.D. in Information Technology and Communication at Granada University, Spain, where she continues to delve into cutting-edge AI research.

Professional Endeavors 💼

Maria’s career trajectory reflects a seamless blend of academic rigor and industry innovation. At Samsung R&D Institute in Jordan, she leads AI projects focusing on speech recognition and natural language processing, showcasing her prowess in automation and advanced search systems. Prior to this, Maria honed her skills at Altibbi, where she developed machine learning and deep learning models to revolutionize telehealth services. Her expertise spans diverse roles, from Python development for logistics platforms at Polares LLC to teaching Computer Science at ADS School. Each position has deepened her technical acumen and solidified her reputation as a versatile problem-solver.

Contributions and Research Focus 🔬

Maria’s research centers on artificial intelligence, machine learning, and evolutionary algorithms, emphasizing their transformative potential in healthcare, education, and NLP. Her collaborations with renowned academics like Prof. Hossam Faris and Dr. Ghaith Rabadi have resulted in influential publications in prestigious journals. Her work extends to bioinformatics, where she contributed to microbiome data visualization during her tenure as a Graduate Research Trainee at McGill University. As a member of the Evo-ML research group, Maria explores innovative solutions that bridge academia and industry, reinforcing her commitment to advancing AI for societal benefit.

Accolades and Recognition 🏆

Maria’s dedication to excellence has not gone unnoticed. Her stellar academic performance earned her accolades throughout her educational journey, culminating in a Master’s GPA of 3.91/4.0. Her professional roles have been marked by commendations for innovation and leadership, particularly at Samsung R&D and Altibbi. References from distinguished mentors like Prof. Ibrahim Aljarah and Prof. Jiangou Xia underscore the high regard in which she is held within the academic and professional communities.

Impact and Influence 🌍

Through her work in AI, Maria has significantly impacted fields such as telemedicine, educational data mining, and speech understanding. Her contributions to Altibbi transformed telehealth services, making them more accessible and efficient. Her teaching and mentorship roles have inspired students and peers alike, fostering a new generation of tech enthusiasts. Her initiatives in AI automation and optimization continue to resonate within the global technology landscape.

Legacy and Future Contributions 🌟

Maria’s journey is far from over. As an AI Project Lead and researcher, she is poised to shape the future of speech and language technologies. Her ongoing Ph.D. research promises groundbreaking insights into AI and communication systems. With a clear vision for the future, Maria aspires to bridge the gap between research and real-world applications, ensuring her legacy as a pioneer in computational innovation.

📚 Publications

  1. Title: Intelligent detection of hate speech in Arabic social network: A machine learning approach
    Authors: I. Aljarah, M. Habib, N. Hijazi, H. Faris, R. Qaddoura, B. Hammo, …
    Year: 2021

 

  1. Title: A dynamic locality multi-objective salp swarm algorithm for feature selection
    Authors: I. Aljarah, M. Habib, H. Faris, N. Al-Madi, A.A. Heidari, M. Mafarja, …
    Year: 2020

 

  1. Title: Augmented whale feature selection for IoT attacks: Structure, analysis, and applications
    Authors: M. Mafarja, A.A. Heidari, M. Habib, H. Faris, T. Thaher, I. Aljarah
    Year: 2020

 

  1. Title: Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data
    Authors: I. Almomani, R. Qaddoura, M. Habib, S. Alsoghyer, A. Al Khayer, I. Aljarah, …
    Year: 2021

 

  1. Title: Evolutionary inspired approach for mental stress detection using EEG signal
    Authors: L.D. Sharma, V.K. Bohat, M. Habib, A.Z. Ala’M, H. Faris, I. Aljarah
    Year: 2022

 

  1. Title: Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context
    Authors: H. Faris, I. Aljarah, M. Habib, P.A. Castillo
    Year: 2020

 

  1. Title: An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir
    Authors: H. Tao, M. Habib, I. Aljarah, H. Faris, H.A. Afan, Z.M. Yaseen
    Year: 2021

 

  1. Title: Optimizing extreme learning machines using chains of salps for efficient android ransomware detection
    Authors: H. Faris, M. Habib, I. Almomani, M. Eshtay, I. Aljarah
    Year: 2020

 

  1. Title: Salp chain-based optimization of support vector machines and feature weighting for medical diagnostic information systems
    Authors: A.M. Al-Zoubi, A.A. Heidari, M. Habib, H. Faris, I. Aljarah, M.A. Hassonah
    Year: 2020

 

 

Conclusion

Maria Habib’s career exemplifies the intersection of technical expertise and societal impact. Through her leadership and innovative research, she has contributed to advancements in healthcare, communication, and education. Her commitment to bridging research and application ensures her legacy as a pioneer in AI. Maria’s inspiring journey underscores the power of determination and innovation, positioning her as a role model in the global technology community.