Muhammad Ishaq | Data Science | Best Paper Award

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Assist Prof Dr. Muhammad Ishaq | Data Science | Best Paper Award

Assist Prof Dr. Muhammad Ishaq, The University of Agriculture Peshawar, Pakistan

Dr. Muhammad Ishaq earned his PhD in Computer Science with Distinction from Harbin Engineering University as an HEC Scholar in 2012. With 12 years of post-PhD teaching experience, he has significantly contributed to academia by organizing conferences and launching programs like BS (Bioinformatics), BS (Artificial Intelligence), MS (Data Science), and PhD (Computer Science). Dr. Ishaq has played a pivotal role in enhancing curricula and spearheading university computerization projects. He manages the HEC’s Digital Learning and Skills Enrichment Initiative (DLSEI) and has published numerous high-quality research papers. His dedication to supervising research theses and submitting projects to funding agencies showcases his commitment to excellence. 📚✨

Publication Profile

Scopus

🖥️ Academic Background 🎓

Dr. Muhammad Ishaq earned a PhD in Computer Science with Distinction from Harbin Engineering University as an HEC Scholar in 2012.

Research Focus

Dr. Muhammad Ishaq’s research focuses on machine learning, neural networks, and optimization algorithms. He has made significant contributions to data imputation in categorical datasets, robust crowd counting, and medical data classification. His work also includes optimizing neural network weights using accelerated particle swarm optimization and improving task scheduling for computational alignment of biological sequences. Dr. Ishaq’s research in agri-informatics and wireless body area networks further highlights his diverse expertise. His publications in esteemed journals and conference papers reflect his dedication to advancing computational methods and artificial intelligence. 📊🤖💡

 

Publication Top Notes

  • Machine Learning Based Missing Data Imputation in Categorical Datasets (Ishaq, M., et al., IEEE Access, 2024) – 📄🕵️‍♂️
  • Robust Counting in Overcrowded Scenes Using Batch-Free Normalized Deep ConvNet (Zahir, S., et al., Computer Systems Science and Engineering, 2023) – 📄🕵️‍♂️2 citations
  • NUMERICAL SOLUTION of WAVELET NEURAL NETWORK LEARNING WEIGHTS USING ACCELERATED PARTICLE SWARM OPTIMIZATION ALGORITHM (Zeb, A., et al., Fractals, 2023) – 📄🕵️‍♂️1 citation
  • Optimizing connection weights of functional link neural network using APSO algorithm for medical data classification (Khan, A., et al., Journal of King Saud University – Computer and Information Sciences, 2022) – 📄🕵️‍♂️11 citations
  • A dynamic swift association scheme for wireless body area networks (Sheraz, A., et al., Transactions on Emerging Telecommunications Technologies, 2022) – 📄🕵️‍♂️
  • Comprehensive selective improvements in agri-informatics semantics (Ishaq, M., et al., Journal of Information Science, 2022) – 📄🕵️‍♂️1 citation
  • Smart Control System for User Confirmation Based on IoT (Khan, A., et al., Lecture Notes in Networks and Systems, 2022) – 📄🕵️‍♂️
  • An Improved Strategy for Task Scheduling in the Parallel Computational Alignment of Multiple Sequences (Ishaq, M., et al., Computational and Mathematical Methods in Medicine, 2022) – 📄🕵️‍♂️1 citation
  • Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences (Ishaq, M., et al., IEEE Access, 2019) – 📄🕵️‍♂️3 citations
  • Cognition in a cognitive routing system for mobile ad-hoc network through leaning automata and neural network (Afridi, M.I., et al., Applied Mechanics and Materials, 2013) – 📄🕵️‍♂️

You-Jin Park | Data Science | Best Researcher Award

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Prof. You-Jin Park | Data science | Best Researcher Award

Prof. You-Jin Park, National Taipei University of Technology, Taiwan

🎓 Prof. You-Jin Park, PhD, is an accomplished educator and researcher in Industrial Engineering, specializing in optimization using genetic algorithms. With a doctoral degree from Arizona State University, Park has extensive teaching experience across Asia and the United States. Their research contributions include work on CDMA cellular systems and post-doctoral research in collaboration with Intel Corp. Park’s expertise spans academia and industry, with roles at Samsung Electronics and as a consultant. A dedicated professional, Park continues to advance knowledge in engineering and management, shaping future generations of engineers.

Publication profile:

Scopus

Education:

🎓 Dr. You-Jin Park pursued a comprehensive academic journey in Industrial Engineering, culminating in a PhD from Arizona State University in 2003. Their dissertation, “Application of Genetic Algorithms in Response Surface Optimization Problems,” showcased their innovative approach to optimization techniques. Prior to their doctoral studies, Park earned a Master’s degree from Hanyang University, Korea, focusing on call loss and call blocking probabilities in CDMA cellular systems. This research laid the groundwork for their subsequent contributions to the field. Park’s academic journey began with a Bachelor’s degree, also in Industrial Engineering, from Hanyang University, demonstrating a lifelong dedication to engineering excellence.

Teaching Experiences:

👨‍🏫 Dr. You-Jin Park’s teaching journey reflects a rich tapestry of academic engagement spanning various prestigious institutions and continents. Beginning as a Teaching Assistant at Hanyang University, Korea, Park’s passion for education blossomed. Subsequently, they ventured to the United States, serving as a Teaching Assistant and later as a Teaching Associate at Arizona State University. Their commitment to academia extended to leadership roles as Director of the Career Development Center at Chung-Ang University, Korea. Park’s career trajectory reached new heights with appointments as Assistant and Associate Professor at ChungAng University before assuming positions of Associate and now full Professor at National Taipei University of Technology, Taiwan, where they continue to inspire students in Industrial Engineering and Management. 🌟

Research Experiences:

🔍 Dr. You-Jin Park’s research journey showcases a dynamic exploration of industrial engineering’s forefront. As a Graduate Research Associate at Arizona State University, Park delved into cutting-edge projects, including collaborations funded by Intel Corp., highlighting their expertise in industry-academic partnerships. Their contributions extended to post-doctoral research, further honing their skills as a researcher. Notably, their role as a Researcher at the Locks Institute underscored their commitment to interdisciplinary inquiry. Park’s research endeavors have been integral in advancing knowledge in industrial engineering, bridging theory and practical applications to unlock new possibilities in optimization and beyond. 🌱

Work Experiences:

💼 Dr. You-Jin Park’s professional journey reflects a diverse blend of academic and industry experiences, showcasing versatility and expertise. As a Principal Consultant at Samsung SDS, Seoul, they provided invaluable insights and guidance, leveraging their academic background to inform strategic decisions. Their tenure as a Senior Engineer at Samsung Electronics demonstrated a hands-on approach to semiconductor technology, contributing to the company’s innovation drive. Park’s stint as a Research Scholar and Faculty Associate at Arizona State University solidified their connection between academia and industry, enriching both spheres with their insights and expertise. Their multifaceted career path underscores their adaptability and commitment to excellence in various domains. 🌟

Research Focus:

🔬 Dr. You-Jin Park’s research focus lies at the intersection of industrial engineering and applied artificial intelligence, with a particular emphasis on optimization techniques for addressing complex real-world problems. Their work spans various domains, including semiconductor manufacturing, quality engineering, and process optimization. Through innovative approaches such as hybrid resampling methods and instance density-based oversampling, Park contributes to advancing the field’s understanding of imbalanced classification problems. Their research also delves into fault detection, energy efficiency, and productivity enhancement in manufacturing processes, showcasing a commitment to improving operational effectiveness and sustainability. Park’s interdisciplinary expertise combines rigorous statistical analysis with practical applications, driving advancements in industrial engineering. 🔍

Publication Top Notes:

  1. “A novel hybrid resampling for semiconductor wafer defect bin classification” (Quality and Reliability Engineering International, 2023)
    • Year of Publication: 2023
  2. “A New Hybrid Under-sampling Approach to Imbalanced Classification Problems” (Applied Artificial Intelligence, 2022)
    • Year of Publication: 2022
  3. “A new instance density-based synthetic minority oversampling method for imbalanced classification problems” (Engineering Optimization, 2022)
    • Year of Publication: 2022
  4. “A Review on Fault Detection and Process Diagnostics in Industrial Processes” (Processes, 2020)
    • Year of Publication: 2020
  5. “Improvement of Productivity through the Reduction of Unexpected Equipment Faults in Die Attach Equipment” (Processes, 2020)
    • Year of Publication: 2020
  6. “A Graphical Model to Diagnose Product Defects with Partially Shuffled Equipment Data” (Processes, 2019)
    • Year of Publication: 2019
  7. “Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing” (International Journal of Production Research, 2018)
    • Year of Publication: 2018
  8. “Optimization of pick-and-place in die attach process using a genetic algorithm” (Applied Soft Computing, 2018)
    • Year of Publication: 2018
  9. “Eco-Efficiency Evaluation Considering Environmental Stringency” (Sustainability, 2017)
    • Year of Publication: 2017
  10. “Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing” (Sustainability, 2017)
    • Year of Publication: 2017