Muhammad Imran Khan | Machine Learning | Young Scientist Award

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Muhammad Imran Khan | Machine Learning | Young Scientist Award

Dr. Muhammad Imran Khan, International Islamic University Islamabad Pakistan, Pakistan.

Publication profile

Scopus

Education And Experiance

  • 📘 Ph.D. in Applied Mathematics (Expected August 2024): International Islamic University Islamabad, Pakistan.
  • 📗 M.Sc. in Computational Mathematics (2019): COMSATS University Islamabad, Pakistan.
  • 📙 Bachelor’s in Applied Mathematics (2016): University of Sargodha, Pakistan.
  • 📒 FSc (2012): Federal Board of Intermediate and Secondary Education, Islamabad, Pakistan.
  • 📕 Metric (2010): Sargodha Board of Intermediate and Secondary Education.

Suitability For The Award

Dr. Muhammad Imran Khan is an outstanding candidate for the Young Scientist Award, characterized by his profound academic journey, versatile skill set, and commitment to advancing mathematical research. His focus on applied mathematics, specifically in the area of partial differential equations (PDEs) and computational methods, positions him as a promising young researcher. His proficiency in machine learning, deep learning, and advanced scientific software highlights his ability to integrate modern computational tools into mathematical problem-solving, making him an asset to the scientific community.

Professional Development 

Muhammad Imran Khan 🔬 thrives on leveraging mathematics to address real-world challenges. His proficiency spans advanced numerical analysis, machine learning, and deep learning 🧠, alongside extensive experience with scientific software tools such as DUNE PDELab and ANSYS 🔧. Skilled in Python and C++, he applies computational methods to explore innovative solutions for diverse fields. Muhammad actively advocates for mathematical research 📊, engaging with decision-makers and fostering collaboration to enhance knowledge dissemination. He envisions a future where mathematics drives practical advancements, supporting both academic growth and societal progress 🚀.

Research Focus 

Awards and Honors

  • 🏅 Merit-Based Scholarship: For outstanding academic performance during M.Sc. at COMSATS University.
  • 🏆 Best Research Poster Award: Recognized at a national mathematics conference for innovative work on PDE applications.
  • 🎖️ Distinction in FSc: Achieved top honors in Federal Board examinations.
  • 🌟 Programming Excellence Certificate: Awarded for proficiency in Python and C++ during Ph.D. coursework.
  • 📜 Recognition of Contribution: For active participation in research collaboration projects at International Islamic University Islamabad.

Publoication Top Notes

  • Integrated Artificial Intelligence and Non-Similar Analysis for Forced Convection of Radially Magnetized Ternary Hybrid Nanofluid of Carreau-Yasuda Fluid Model Over a Curved Stretching Surface (2024) 🧠
  • Advanced Intelligent Computing ANN for Momentum, Thermal, and Concentration Boundary Layers in Plasma Electro Hydrodynamics Burgers Fluid (2024) – Cited by: 0 🤖
  • Analysis of Nonlinear Complex Heat Transfer MHD Flow of Jeffrey Nanofluid Over an Exponentially Stretching Sheet via Three Phase Artificial Intelligence and Machine Learning Techniques (2024) 🔥
  • Modeling and Predicting Heat Transfer Performance in Bioconvection Flow Around a Circular Cylinder Using an Artificial Neural Network Approach (2024) 🌡️
  • Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow Through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions (2024) – Cited by: 1 🧪
  • Computational Intelligence Approach for Optimising MHD Casson Ternary Hybrid Nanofluid Over the Shrinking Sheet with the Effects of Radiation (2023) – Cited by: 17 ⚡
  • Artificial Neural Network Simulation and Sensitivity Analysis for Optimal Thermal Transport of Magnetic Viscous Fluid Over Shrinking Wedge via RSM (2023) – Cited by: 20 🔍

 

Mrs. Kavitha Duraipandian | Machine learning Awards | Excellence in Research

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Mrs. Kavitha Duraipandian | Machine learning Awards | Excellence in Research

Mrs. Kavitha Duraipandian, Sathyabama Institute of Science and Technology, India

Mrs. Kavitha Duraipandian is an Assistant Professor at Sathyabama Institute of Science and Technology, Chennai, and is currently pursuing a Ph.D. in Deep Learning at SRM Institute of Science and Technology. She holds a Master’s degree in Computer Science from Anna University and a Bachelor’s degree from Madras University. With a rich teaching career spanning roles at SRM Institute of Science and Technology, Dhaanish Ahmed College of Engineering, and other institutions, Kavitha has instructed various subjects, including Machine Learning and Cloud Computing. She has earned accolades such as “The Real Super Woman 2020” award and the Woman MoU Leader of the Year 2024 award. Kavitha also mentors over 75 students in Indo-Global internships, focusing on ML, DL, AI, and Cybersecurity.

Professional Profile:

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Orcid
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🎓 Education:

Kavitha Duraipandian is currently pursuing a Ph.D. in Deep Learning at SRM Institute of Science and Technology, Kattankulathur (since January 2020). She holds a Master of Engineering in Computer Science from Anna University (2009-2011) with a 79% score and a Bachelor of Engineering in Computer Science from Madras University (1997-2001) with a 70% score.

💼 Academic Experience:

Kavitha is an Assistant Professor at Sathyabama Institute of Science and Technology, Chennai (since June 2024). She has previously served as an Assistant Professor at SRM Institute of Science and Technology, Ramapuram (2019-2024), and Dhaanish Ahmed College of Engineering, Chennai (2011-2019). Her earlier roles include Lecturer positions at Tagore Engineering College, Sri Sai Ram Engineering College, and Thiruvalluvar College of Engineering and Technology.

🏆 Awards and Achievements:

Kavitha has coordinated and mentored a team that won first prize in the International App Development Competition (2020) and has received several accolades, including “The Real Super Woman 2020” award and the Woman MoU Leader of the Year 2024 award.

🌐 International Mentorship:

She mentors over 75 students in Indo-Global Summer/Winter Internships, focusing on ML, DL, AI, and Cybersecurity, in collaboration with MIT Square, London, and foreign universities.

📚 Subjects Handled:

Kavitha has taught a wide range of subjects under both deemed universities and Anna University-affiliated institutions, including Information Storage and Management, Machine Learning applications, Cloud Computing, Database Management Systems, Data Structures, Software Engineering, and more.

Publication Top Notes:

 

 

 

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

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Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Assoc Prof Dr. Wenbo Zhu, Foshan University, China

👨‍🎓 Dr. Wenbo Zhu, PhD, serves as the Associate Dean and Associate Professor in the School of Mechatronical Engineering and Automation at Foshan University. 🏫 With 8 years of experience, Dr. Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from prestigious institutions. 🎓 His expertise spans image processing, pattern recognition, and artificial intelligence applications, evident through his leadership in national and provincial research projects. 🌐 Actively engaged in academic and professional organizations, Dr. Zhu holds key positions in associations like the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch. 🔬 His prolific research output includes numerous publications in esteemed journals, patents, and software copyrights, reflecting his commitment to advancing artificial intelligence. 📈 Dr. Zhu’s contributions extend beyond academia, as he collaborates with industry leaders and governmental bodies, playing a vital role in shaping the future of AI technology. 🌟

Professional Profile:

Scopus

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📚 Education:

Dr. Wenbo Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from Harbin Engineering University and South China University of Technology, respectively.

📅 Experience:

With over 8 years of experience, he serves as a Master’s supervisor and actively contributes to academic and professional organizations, including the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch.

🔍 Research Focus:

Dr. Zhu specializes in image processing, pattern recognition, and artificial intelligence applications, leading numerous national and provincial research projects. His work includes innovative contributions to panoramic vision systems and medical imaging.

🏅 Achievements:

He has published extensively in esteemed journals, showcasing his dedication to advancing research in artificial intelligence.

💡 Contributions:

As President of the Foshan Artificial Intelligence Society and a member of various national committees, Dr. Zhu collaborates with top universities and industry leaders, contributing significantly to AI development through papers, patents, and software copyrights.

Scopus Metrics:

  • 📝 Publications: 58 documents indexed in Scopus.
  • 📊 Citations: A total of 311 citations for his publications, reflecting the widespread impact and recognition of Dr. Wenbo Zhu’s research within the academic community.

Publication Top Notes:

  1. Waterproof Triboelectric Nanogenerators Based on Ag Nanoparticle/Chitosan Composites for Transmitting Morse Code
    • Published in ACS Applied Nano Materials in 2023.
    • 2 citations.
  2. High-performance triboelectric nanogenerator based on ZrB2/polydimethylsiloxane for metal corrosion protection
    • Published in International Journal of Minerals, Metallurgy and Materials in 2023.
    • 1 citation.
  3. RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets
    • Published in Mathematics in 2023.
  4. Critical electric field stabilizing structure of Al2O3/TiO2/Al2O3 thin film for achieving high energy density
    • Published in Ceramics International in 2023.
    • 3 citations.
  5. Forecasting by Combining Chaotic PSO and Automated LSSVR
    • Published in Technologies in 2023.
    • 1 citation.