Umar Islam | Computer Science | Best Researcher Award

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Mr. Umar Islam | Computer Science | Best Researcher Award

Senior Lecturer, IQRA National University Swat Campus, Pakistan

Mr. Umar Islam is a passionate and accomplished educator and researcher in the field of Computer Science, currently serving as a Lecturer at Iqra National University (INU) Swat Campus, Pakistan. With an impressive academic background spanning 18 years in Computer Science, Mr. Islam has become a recognized expert in AI, machine learning, blockchain security, IoT, bioinformatics, and financial analytics. His work has been published in over 15 research articles, including several in top-tier journals. A dedicated researcher, he focuses on real-time AI solutions, particularly in healthcare and cybersecurity. Mr. Islam is also a committed mentor, providing supervision and guidance to students in advanced topics such as Python programming, machine learning, and AI applications. His contributions to the academic community and his research endeavors demonstrate his commitment to pushing the boundaries of knowledge and solving real-world problems.

Profile

Education

Mr. Umar Islam has an extensive academic journey, earning 18 years of education in Computer Science. His academic path began with a Bachelor’s degree in Computer Science, followed by a Master’s degree, where he built the foundation of his knowledge in various aspects of computing. Mr. Islam’s thirst for knowledge and his passion for research led him to pursue advanced studies in areas like AI, machine learning, IoT, and cybersecurity, with a strong focus on applying these technologies to solve real-world challenges. His educational journey has equipped him with the skills to lead cutting-edge research projects and to innovate in fields like bioinformatics and financial analytics. Currently, he is working toward a PhD, which will further deepen his understanding and expertise in these areas. Through his education, Mr. Islam has gained a comprehensive understanding of theoretical and applied Computer Science, which he integrates into both his teaching and research.

Experience

With six years of teaching experience at the higher education level, Mr. Umar Islam has played a pivotal role in shaping the future of numerous students at Iqra National University (INU) Swat Campus. As a lecturer, he has delivered comprehensive lessons in Computer Science topics such as AI, machine learning, and cybersecurity. His commitment to academic excellence is reflected in his success as a supervisor, guiding students through complex topics like Python programming, e-learning analytics, and AI-driven applications. In addition to teaching, Mr. Islam has gained four years of extensive research experience, with a focus on AI applications in healthcare, cybersecurity, and blockchain security. He has led multiple research projects, producing groundbreaking results, and has contributed significantly to the academic community with over 15 published research articles. His academic experience extends beyond teaching, positioning him as a thought leader in his field.

Research Focus

Mr. Umar Islam’s research is deeply focused on the intersection of artificial intelligence (AI), cybersecurity, healthcare, and financial analytics. One of his key research areas includes AI-driven solutions in healthcare, particularly the development of federated learning-based intrusion detection systems and epileptic seizure prediction models. He is also actively exploring AI in cybersecurity, specifically in blockchain security, to mitigate data tampering risks. His work in financial analytics uses AI and machine learning to predict market trends, including cryptocurrency values, demonstrating his interdisciplinary approach to solving real-world problems. In addition to these topics, Mr. Islam is involved in pioneering research in IoT security and bioinformatics. His research aims to address key global challenges such as healthcare delivery, data security, and economic stability through cutting-edge AI applications. His innovative contributions to various fields have resulted in multiple published articles in prestigious journals, demonstrating the far-reaching impact of his work.

Publication Top Notes

  • Detection of distributed denial of service (DDoS) attacks in IoT-based monitoring system of banking sector using machine learning models 🌐🔐📊
  • IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms 🤖📱💡
  • Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications ☁️💻🛡️
  • Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks 🏥🧠📸
  • A novel anomaly detection system on the internet of railways using extended neural networks 🚆🔍⚙️
  • NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics 🧠💓📈
  • An intelligent approach for preserving the privacy and security of a smart home based on IoT using LogitBoost techniques 🏠🔐💡
  • Enhancing Economic Stability with Innovative Crude Oil Price Prediction and Policy Uncertainty Mitigation in USD Energy Stock Markets 💰📊📉
  • Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data 💾🔎👨‍💻
  • Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model ⛓️💹🔮

 

 

 

Prof.Gwo-Jen Hwang | Educational Technology | Best Researcher Award

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Prof. Gwo-Jen Hwang | Educational Technology | Best Researcher Award

Professor, National Taichung University of Education, Taiwan

Gwo-Jen Hwang is a prominent Chair Professor at National Taichung University of Education and National Taiwan University of Science and Technology in Taiwan. He holds a PhD from National Chiao Tung University, Taiwan, and has an illustrious career focused on educational technology, mobile and ubiquitous learning, flipped classrooms, game-based learning, and AI applications in education. His extensive research output includes over 400 journal papers indexed by SSCI/SCI. With a global reputation, Gwo-Jen is the Editor-in-Chief of multiple influential journals, including Computers & Education: Artificial Intelligence, and serves as a lead editor and associate editor for several others. He has led more than 150 academic projects and has contributed significantly to shaping the future of education through his innovative approaches to learning environments, technologies, and methodologies.

Profile

Education

Gwo-Jen Hwang received his PhD from National Chiao Tung University, Hsinchu, Taiwan, specializing in educational technology. He has since become a leading academic figure, influencing the educational landscape globally. His academic journey led him to significant roles such as Chair Professor at both National Taichung University of Education and National Taiwan University of Science and Technology. Dr. Hwang’s research integrates advanced technologies like artificial intelligence, mobile learning, and ubiquitous learning into education, striving to improve learning outcomes and methodologies. His academic foundation in educational measurement and digital learning is paired with a deep understanding of the theoretical and practical applications of learning technologies. Through his dedication to continuous research, innovation, and teaching excellence, he has profoundly impacted education systems, pushing the boundaries of digital and interactive learning.

Experience

Gwo-Jen Hwang has an exceptional academic and professional career, contributing significantly to the field of educational technology. As Chair Professor at prestigious universities in Taiwan, he holds leadership positions that influence both the research and development of educational technologies. His experience includes leading over 150 research projects, many funded by national and international grants, in areas like mobile learning, AI, and flipped classrooms. With extensive editorial roles, including Editor-in-Chief of several top educational journals, he has influenced the dissemination of cutting-edge research in education. His work spans multiple disciplines within educational technology, with a focus on the development and application of ubiquitous learning environments, collaborative learning tools, and AI-powered educational systems. Through consultancy projects in various industries, he applies his research findings to real-world settings, impacting fields such as healthcare and professional training. His expertise has established him as a global leader in the integration of technology into education.

Research Focus

Dr. Gwo-Jen Hwang’s research primarily revolves around educational technologies that enhance learning experiences. His main areas of focus include mobile and ubiquitous learning, flipped learning, game-based learning, and artificial intelligence (AI) in education. Through his research, Hwang aims to bridge the gap between physical and digital learning environments, creating more interactive and adaptive systems. His work emphasizes personalized, collaborative, and inquiry-based learning models that leverage new technologies to promote active student engagement and improve learning outcomes. By integrating AI into educational systems, he investigates how intelligent tools can support personalized learning paths, feedback mechanisms, and assessments. Additionally, his research into flipped classrooms aims to revolutionize traditional educational structures, providing learners with more control over their educational experiences. Dr. Hwang is also exploring the potential of immersive technologies like augmented and virtual reality to transform learning environments, particularly in healthcare and professional training.

Publication

  1. A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students 📱✏️
  2. Vision, challenges, roles, and research issues of Artificial Intelligence in Education 🤖📚
  3. A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course 🔄🧮
  4. Criteria, strategies, and research issues of context-aware ubiquitous learning 🌐📖
  5. An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities 🌟🔬
  6. Seamless flipped learning: A mobile technology-enhanced flipped classroom with effective learning strategies 📱🎓
  7. Application and theory gaps during the rise of artificial intelligence in education 🧠💻
  8. Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010 📘📱
  9. A collaborative game-based learning approach to improving students’ learning performance in science courses 🎮🔬
  10. A project-based digital storytelling approach for improving students’ learning motivation, problem-solving competence, and learning achievement 🎬📈