Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award

Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Awardย 

Mr. Shiraz Kaderuppan, Newcastle University, Singapore

Shiraz is a Singaporean educator and data analytics enthusiast with extensive experience in enhancing deep neural network (DNN) architectures for feature recognition and extraction in image processing applications. With a solid background in software development and embedded systems programming, he has successfully developed desktop applications that integrate advanced image processing algorithms. Currently serving as an Associate Lecturer at Republic Polytechnic, Shiraz teaches courses in Financial Technology, Business Intelligence, and Distributed Ledger Technology while conducting professional training programs for various organizations in Microsoft Office applications. He is also an accomplished application developer, utilizing machine learning and artificial intelligence for predictive analytics and data analysis. His passion for empowering others extends to teaching Mathematics and Science at secondary and junior college levels, demonstrating his commitment to education and skill development in the IT field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:ย 

Shiraz S/O Kaderuppan stands out as a highly suitable candidate for the Best Researcher Award due to his extensive experience and impressive contributions to the field of data analytics and deep learning, particularly in image processing applications. His career reflects a strong commitment to advancing technology through research and education.

Education ๐ŸŽ“

  • Republic Polytechnic
    Diploma in Financial Technology, Business Intelligence & Distributed Ledger Technology
    Mar 2023 โ€“ Present

Work Experience ๐Ÿ’ผ

  • Associate Lecturer
    Republic Polytechnic
    Mar 2023 โ€“ Present

    • Conducted courses for diploma students in Financial Technology, Business Intelligence, and DLT solutioning.
  • Corporate Trainer
    Self-Employed
    Jul 2014 โ€“ Present

    • Provided training for corporate clients and private individuals in advanced Microsoft Office applications and IBM products.
  • Application Developer
    Self-Employed
    May 2012 โ€“ Present

    • Developed desktop applications using C# .NET, interfacing with microcontrollers and implementing machine learning algorithms.
  • ML/AI Developer
    Self-Employed
    Sep 2008 โ€“ Present

    • Applied machine learning and deep learning algorithms for data analysis and forecasting.
  • Educator
    Self-Employed
    Aug 2010 โ€“ Present

    • Provided secondary school and JC-level tuition for Mathematics and Science subjects.
  • General Education Officer (Teacher)
    Ministry of Education
    Sep 2007 โ€“ Jan 2009

    • Taught Biology, Chemistry, and General Science at Tampines and Bedok North Secondary Schools.
  • Founder & Business Development Manager
    Self-Employed
    Jan 2005 โ€“ Jun 2007

    • Managed retail of scientific components globally and established a network of professional purchasers.

Achievements ๐ŸŒŸ

  • Successfully conducted numerous training programs for companies and government bodies, focusing on advanced features of Microsoft Office for business intelligence and data analysis.
  • Developed and implemented desktop applications that effectively integrate hardware devices with advanced image processing algorithms.
  • Empowered project managers to utilize Microsoft Project for effective project planning and resource management.

Awards & Honors ๐Ÿ†

  • Recognized for excellence in teaching and training methodologies at Republic Polytechnic and in corporate training programs.
  • Selected as a participant in the SkillsFuture for Digital Workplace Initiative for promoting digital literacy and skills enhancement in Singapore.

Publicationย Top Notes:

ฮ˜-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico

O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy

Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Dr. Akmal Jahan Mohamed Abdul Cader, South Eastern University, Sri Lanka.

Dr. Akmal Jahan Mohamed Abdul Cader is a distinguished academic and researcher currently serving as a Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka. With extensive experience in higher education, he is a Visiting Research Fellow at QUT, Australia. His research interests include artificial intelligence, data science, and document image analysis. Dr. Cader has published numerous high-impact articles and is actively involved in academic development and curriculum design. He is committed to advancing education and research in the field of computer science.ย ๐Ÿ“š๐Ÿ’ป๐ŸŒ

Publication Profilesย 

Googlescholar

Education and Experience

  • Visiting Research Fellowย – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present)ย ๐ŸŽ“
  • Senior Lecturerย (Computer Science) – South Eastern University of Sri Lanka (2020 – Present)ย ๐Ÿซ
  • Sessional Academicย – School of Electrical Engineering & Computer Science, QUT (2016 – 2019)ย ๐Ÿ“–
  • Lecturerย (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015)ย ๐Ÿง‘โ€๐Ÿซ
  • Assistant Lecturerย – South Eastern University of Sri Lanka (2010 – 2012)ย ๐Ÿ”
  • Demonstratorย in Computer Science – South Eastern University of Sri Lanka (2009 – 2010)ย ๐Ÿ‘จโ€๐Ÿ”ฌ

Suitability For The Award

Dr. Mac Akmal Jahan Mohamed Abdul Cader, Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka, is a highly accomplished academic and researcher, making him an exemplary candidate for the Best Researcher Award. With a career spanning over a decade, Dr. Cader has consistently demonstrated leadership in research, teaching, and academic development, particularly in the fields of artificial intelligence, computer science, and digital technologies. His research contributions, coupled with his active involvement in academic service, professional organizations, and international collaborations, solidify his standing as a leading figure in his domain.

Professional Development

Dr. Cader has participated in several professional development programs focused on effective communication, teaching and learning, and project-based learning. He has completed various certifications at QUT, enhancing his skills in pedagogy and curriculum development. His commitment to continuous improvement in education is evident in his active engagement in workshops and training sessions aimed at promoting best practices in teaching. As a Fellow of the Higher Education Academy, he champions high standards in academic instruction and student engagement.ย ๐Ÿ…๐Ÿ“ˆ๐Ÿ“š

Research Focus

Dr. Cader’s research primarily focuses on artificial intelligence, data science, and document image analysis. He explores the synthesis and application of synthetic metals, aiming to develop innovative solutions in electronics and energy storage. His work on TCNQ chemistry has significant implications for biotechnology and medicine, including the construction of electrochemical sensors and drug delivery systems. By synthesizing novel compounds, he contributes to advancements in both theoretical and practical aspects of computer science and materials research.ย ๐Ÿ”ฌโš™๏ธ๐ŸŒ

Awards and Honors

  • Senate Honours Award for High Impact Publicationsย – SEUSL (2022 & 2023)ย ๐Ÿ†
  • Queensland University of Technology Postgraduate Award (QUTPRA)ย (2015)ย ๐Ÿ“œ
  • Faculty Write Up (FWU) Scholarshipย – QUT, Australia (2019)ย ๐Ÿ“š
  • Effective Communication in Teaching and Learningย – QUT, Australia (2019)ย ๐Ÿ—ฃ๏ธ
  • Foundation of Teaching and Learningย – QUT (2018)ย ๐ŸŽ“

Publication Top Notesย 

  • Locating tables in scanned documents for reconstructing and republishingย | Cited by: 46 | Year: 2014ย ๐Ÿ“„๐Ÿ”
  • Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14)ย | Cited by: 37 | Year: 2014ย ๐Ÿ“Šโœ๏ธ
  • AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignmentsย | Cited by: 34 | Year: 2014ย ๐Ÿ“„๐Ÿ›ก๏ธ
  • Plagiarism detection tools and techniques: A comprehensive surveyย | Cited by: 23 | Year: 2021ย ๐Ÿ”Ž๐Ÿ“š
  • Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challengesย | Cited by: 11 | Year: 2023ย ๐Ÿ–๏ธ๐Ÿ“ท
  • Contactless finger recognition using invariants from higher order spectra of ridge orientation profilesย | Cited by: 10 | Year: 2018ย โœ‹๐Ÿ“
  • Accelerating text-based plagiarism detection using GPUsย | Cited by: 10 | Year: 2015ย โšก๐Ÿ’ป
  • Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariantsย | Cited by: 9 | Year: 2018ย ๐Ÿ–๏ธ๐Ÿ”—

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Award

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Awardย 

Prof. Dr. Shih-Lin Chang, National Yang Ming Chiao Tung University, Taiwan

Dr. Shih-Lin Chang, is a distinguished cardiologist and academic leader in the field of cardiovascular medicine. He is currently the Chief of the Department of Experimental Examination at Taipei Veterans General Hospital and the Director of the Intelligent Medicine and Telehealth Center within the Cardiovascular Center. Dr. Chang is also a Professor of Medicine at National Yang Ming Chiao Tung University, where he has contributed significantly to research and education in cardiology. Dr. Chang completed his M.D. at China Medical University in 1998 and earned his Ph.D. from National Yang Ming Chiao Tung University in 2012. He underwent extensive training, including a residency in Internal Medicine and fellowships in cardiology and electrophysiology at Taipei Veterans General Hospital. His professional journey includes significant roles such as Staff Cardiologist and Associate Director of the Cardiovascular Research Center at National Yang Ming Chiao Tung University.

Professional Profile:

Suitability for Best Researcher Award: Shih-Lin Chang, M.D., Ph.D.

Shih-Lin Chang exemplifies the qualities and achievements that make him an outstanding candidate for the Best Researcher Award. With a robust educational background, including an M.D. from China Medical University and a Ph.D. from National Yang Ming Chiao Tung University, Dr. Chang has established himself as a leading figure in cardiology and electrophysiology.

๐ŸŽ“ Education

  • M.D.: China Medical University, Taiwan (1991โ€“1998)
  • Ph.D.: National Yang Ming Chiao Tung University, Institute of Clinical Medicine, Taiwan (2007โ€“2012)

๐Ÿ’ผ Work Experience

  • 2023.8: Chief, Department of Experimental Examination, Taipei Veterans General Hospital Healthcare and Services Center
  • 2023.1: Director of Intelligent Medicine and Telehealth Center, Department of Cardiovascular Center
  • 2022.7: Associate Director, Cardiovascular Research Center, National Yang Ming Chiao Tung University
  • 2019.8: Professor of Medicine, National Yang Ming Chiao Tung University, School of Medicine
  • 2017.10โ€“2020.10: Director, Heart Rhythm Center, Taipei Veterans General Hospital
  • 2016.8โ€“2019.8: Associate Professor of Medicine, National Yang Ming Chiao Tung University
  • 2015.3โ€“2017.3: Secretary-General, Taiwan Heart Rhythm Society
  • 2009.3โ€“Present: Staff Cardiologist, Division of Cardiology, Taipei Veterans General Hospital
  • 2006โ€“2009.3: Staff Cardiologist, Division of Cardiology, Suao Veterans Hospital
  • 2004โ€“2006: Fellowship, Clinical and Basic Electrophysiology Laboratory, Taipei Veterans General Hospital
  • 2003โ€“2005: Fellowship, Division of Cardiology, Taipei Veterans General Hospital
  • 2000โ€“2003: Resident, Department of Internal Medicine, Taipei Veterans General Hospital

๐Ÿ† Awards and Honors

  • Poster Award: 2nd Asia-Pacific Atrial Fibrillation Symposium (2006) ๐Ÿ–ผ๏ธ
  • First Prize: Young Investigator Award, Taiwan Society of Cardiology (2010) ๐Ÿฅ‡
  • Young Investigator Award: 3rd Asia-Pacific Heart Rhythm Society (2010) ๐Ÿ…
  • Best Oral Presentation Award: Taiwan Society of Cardiology (2011) ๐ŸŽค
  • Best Poster Presentation Award: Taiwan Society of Cardiology (2013) ๐Ÿ–ผ๏ธ
  • Best Teacher Award: National Yang Ming University (2014, 2016, 2019) ๐ŸŽ“
  • Best Paper Award: Veterans General Hospitals and University System of Taiwan Joint Research Program (2015, 2018, 2019, 2021) ๐Ÿ“
  • PBL Tutor Award: National Yang Ming University (2017) ๐Ÿ‘ฉโ€๐Ÿซ
  • Outstanding Journal Paper Special Excellence Award: Taiwan Society for Simulation in Healthcare (2021) ๐ŸŒŸ
  • Gold Award: Outstanding Academic Research Paper in Medical Education, Taipei Veterans General Hospital (2022) ๐Ÿฅ‡
  • National Healthcare Quality Award: Smart Services Category (2022) ๐Ÿฅ
  • Clinical Teaching Excellence Award: Taipei Veterans General Hospital (2023) ๐Ÿ“š

๐ŸŒŸ Achievements

  • Active roles as editor for Acta Cardiologica Sinica (2015โ€“Present) and Clinical Medicine (2014โ€“Present).
  • Member of APHRS EP Ablation and Digital Health Committees (2024).
  • Numerous oral and poster presentations at international cardiology conferences.
  • Invited faculty/speaker at prestigious global cardiology events, including the European Society of Cardiology Congress and Heart Rhythm Society Annual Scientific Sessions.

Publicationย Top Notes:

Performance of the novel ANTWERP score in predicting heart function improvement after atrial fibrillation ablation in Asian patients with heart failure

Three-dimensional mapping and superior approach for catheter ablation in patients without inferior vena cava access

Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in low-weight patients with atrial fibrillation

Multistep Algorithm to Predict RVOT PVC Site of Origin for Successful Ablation Using Available Criteria: A Two-Center Cross-Validation Study

Frailty and Its Associated Factors in Patients With Atrial Fibrillation: A Cross-Sectional Study

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Prof. Jin Ho Suh, Pukyong National University, South Korea

Dr. Jin-Ho Suh is a distinguished professor and expert in robotics, currently leading the Field Robotics Laboratory (FRLab) within the Major of Mechanical System Engineering at Pukyong National University, South Korea. With a Ph.D. in Control Engineering from the Tokyo Institute of Technology, Japan, and over two decades of academic and professional experience, Dr. Suh has significantly contributed to the fields of robotics and mechanical systems. He has held prominent roles, including Director of the Institute of Control, Robotics, and Systems, and is a Senior Member of IEEE. His leadership extends to national initiatives as the Chairman of the National Core Technology Committee for Robotics in South Korea and as an expert member of the Presidential Advisory Council on Science & Technology.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Prof. Jin-Ho Suh

Prof. Jin-Ho Suh, a distinguished researcher in the field of robotics and control engineering, holds a Ph.D. in Control Engineering from the Tokyo Institute of Technology and currently serves as a professor at Pukyong National University in South Korea. His extensive academic and professional experience, combined with significant contributions to the field, makes him an excellent candidate for the Best Researcher Award.

Education ๐ŸŽ“

  • Ph.D. in Control Engineering
    Tokyo Institute of Technology, Japan (Dec 1998 โ€“ Mar 2002)
  • Master of Engineering
    Graduate School of Engineering, Pukyong National University, South Korea (Mar 1996 โ€“ Feb 1998)
  • Bachelor of Science in Mathematics
    Hanyang University, South Korea (Mar 1989 โ€“ Feb 1993)

Work Experience ๐Ÿ› ๏ธ

  • Professor (Sep 2018 โ€“ Present)
    Major of Mechanical System Engineering, Pukyong National University
  • Senior Member (Nov 2022 โ€“ Present)
    Institute of Electrical and Electronics Engineers (IEEE)
  • Director
    • Institute of Control, Robotics, and Systems (Jan 2022 โ€“ Present)
    • Korean Society for Precision and Engineering (Jan 2020 โ€“ Present)
    • Korea Robotics Society (Jan 2018 โ€“ Present)
    • Korean Society for Power System Engineering (Jan 2017 โ€“ Present)
  • Chairman of the National Core Technology Committee (Robot) (Nov 2017 โ€“ Present)
    Korean Association for Industrial Technology Security
  • Expert Member (Jan 2021 โ€“ Present)
    Presidential Advisory Council on Science & Technology, South Korea
  • Adjunct Professor (Dec 2013 โ€“ Aug 2018)
    Department of Mechanical Engineering, POSTECH
  • Director of R&D Division (Apr 2006 โ€“ Aug 2018)
    Korea Institute of Robotics and Convergence Technology (KIRO)
  • Post-Doctoral Fellow (Jun 2003 โ€“ Feb 2006)
    National Research Laboratory, Dong-A University

Achievements ๐Ÿ†

  • Patents
    • 28 patents (7 international PCT)
  • Publications
    • 14 papers in international journals (13 SCI)
    • 23 papers in domestic journals (15 SCOPUS)
    • 15 papers in international conferences
    • 60 papers in domestic conferences

Awards and Honors ๐ŸŒŸ

  • Director Roles in Leading Engineering Societies
    • Institute of Control, Robotics and Systems
    • Korea Robotics Society
    • Korean Society for Precision and Engineering
  • Presidential Advisory Council Member
    • Significant contributions to national robotics and precision engineering strategies.
  • Chairman, National Core Technology Committee (Robot)
    • Recognized leader in industrial robotics technology and security.

Publicationย Top Notes

Artificial Neural Network for Glider Detection in a Marine Environment by Improving a CNN Vision Encoder

Development of a Multi-Robot System for Pier Construction

Model-Free RBF Neural Network Intelligent-PID Control Applying Adaptive Robust Term for Quadrotor System

Development of Fishcake Gripping and Classification Automation Process Based on Suction Shape Transformation Gripper

Estimation and Control of a Towed Underwater Vehicle with Active Stationary and Low-Speed Maneuvering Capabilities

Adaptive Robust RBF-NN Nonsingular Terminal Sliding Mode Control Scheme for Application to Snake Robotโ€™s Head for Image Stabilization

Development of Recovery System for Underwater Glider