Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award

Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher AwardΒ 

Dr. Jany Shabu, Sathyabama Institute of Science & Technology, India

Dr. S.L. Jany Shabu is an accomplished Associate Professor in the Department of Computer Science Engineering at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. With a Ph.D. in Image Fusion, her research focuses on multimodal image fusion using intelligent optimization techniques, particularly in the context of brain tumor detection. Dr. Shabu has a strong academic background, holding both M.Tech and MS degrees in Information Technology, and has published extensively, with 58 papers indexed in Scopus and four in WoS. She has received multiple accolades for her contributions to research and education, including cash awards for publishing in high-impact journals and the prestigious NPTEL Discipline Star Certificate. As an active member of the National Institute for Technical Training and Skill Development, Dr. Shabu is dedicated to advancing the field of computer science through her research, teaching, and professional engagement. Her innovative projects, including a Safety Stick for Elders, and her patents in smart traffic control and gesture-based systems, exemplify her commitment to leveraging technology for societal benefit. She has also authored several books on machine learning, cloud computing, and data analytics, further solidifying her reputation as a thought leader in her field. With a robust online presence, including profiles on ORCID and Scopus, Dr. Shabu continues to contribute to academic excellence and innovation in computer science.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. S.L. Jany Shabu is a commendable candidate for the Best Researcher Award, recognized for her significant contributions to computer science engineering and her innovative research in image fusion and optimization techniques.

Education πŸŽ“

  • Ph.D. in Image Fusion
    Sathyabama Institute of Science and Technology
    Thesis Title: Multimodal Image Fusion using Intelligent Optimization Techniques with Brain Tumor Detection
  • M.Tech (IT) in Information Technology
    Sathyabama Institute of Science and Technology
    Graduated with First Class
  • M.S. (IT) in Information Technology
    Manonmaniam Sundaranar University
    Graduated with First Class

Work Experience πŸ’Ό

  • Current Position: Associate Professor, Computer Science Engineering
    Sathyabama Institute of Science and Technology

Achievements 🌟

  • Seed Funding:
    Project Title: Safety Stick for Elders
    Amount: β‚Ή300,000
    Period: Oct 2021 – June 2022
    Role: Co Principal Investigator
  • Patent Holder:
    1. SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
      Application No: 201741038384 – Published
    2. GARMENT STEAMER MANAGEMENT SYSTEM
      Application No: 367890-001 – Published
    3. GESTURE BASED ELECTRONIC GADGET OPERATING SYSTEM
      Application No: 202341088351 A – Published
  • Reviewer:
    • Journal of Scientific Research and Reports
    • Journal of Pharmaceutical Research International
    • International Conference on Computational Intelligence, Networks & Security
    • Book Chapter for CRC PRESS Taylor & Francis Group

Awards and Honors πŸ†

  • Cash Award for Publishing Paper in High Impact WOS Journal
    Sathyabama Institute of Science and Technology (Teachers Day 2022 & 2024)
  • NPTEL Discipline Star Certificate
  • Disciplinarian Award
    Sathyabama Institute of Science & Technology, Chennai

PublicationΒ Top Notes:

DeepExuDetectNet: Diabetic retinopathy diagnosis: Blood vessel segmentation and exudates disease detection in fundus images

A swarm intelligence optimization for lung cancer detection from RNA-seq gene expression data using convolutional neural networks

A novel framework for entertainment robots in personalized elderly care using adaptive emotional resonance technologies

An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform

Rainfall prediction using machine learning techniques

Online product review using sentiment analysis

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.Β πŸ“šπŸ’»πŸŒ

Publication ProfilesΒ 

Googlescholar

Education and Experience

  • Visiting Research FellowΒ – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present)Β πŸŽ“
  • Senior LecturerΒ (Computer Science) – South Eastern University of Sri Lanka (2020 – Present) 🏫
  • Sessional AcademicΒ – School of Electrical Engineering & Computer Science, QUT (2016 – 2019)Β πŸ“–
  • LecturerΒ (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015)Β πŸ§‘β€πŸ«
  • Assistant LecturerΒ – South Eastern University of Sri Lanka (2010 – 2012)Β πŸ”
  • DemonstratorΒ in Computer Science – South Eastern University of Sri Lanka (2009 – 2010)Β πŸ‘¨β€πŸ”¬

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.Β πŸ…πŸ“ˆπŸ“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.Β πŸ”¬βš™οΈπŸŒ

Awards and Honors

  • Senate Honours Award for High Impact PublicationsΒ – SEUSL (2022 & 2023)Β πŸ†
  • Queensland University of Technology Postgraduate Award (QUTPRA)Β (2015)Β πŸ“œ
  • Faculty Write Up (FWU) ScholarshipΒ – QUT, Australia (2019)Β πŸ“š
  • Effective Communication in Teaching and LearningΒ – QUT, Australia (2019)Β πŸ—£οΈ
  • Foundation of Teaching and LearningΒ – QUT (2018)Β πŸŽ“

Publication Top NotesΒ 

  • Locating tables in scanned documents for reconstructing and republishingΒ | Cited by: 46 | Year: 2014Β πŸ“„πŸ”
  • Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14)Β | Cited by: 37 | Year: 2014Β πŸ“ŠβœοΈ
  • AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based AssignmentsΒ | Cited by: 34 | Year: 2014Β πŸ“„πŸ›‘οΈ
  • Plagiarism detection tools and techniques: A comprehensive surveyΒ | Cited by: 23 | Year: 2021Β πŸ”ŽπŸ“š
  • Fingerprint Systems: Sensors, Image Acquisition, Interoperability and ChallengesΒ | Cited by: 11 | Year: 2023Β πŸ–οΈπŸ“·
  • Contactless finger recognition using invariants from higher order spectra of ridge orientation profilesΒ | Cited by: 10 | Year: 2018Β βœ‹πŸ“
  • Accelerating text-based plagiarism detection using GPUsΒ | Cited by: 10 | Year: 2015Β βš‘πŸ’»
  • Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariantsΒ | Cited by: 9 | Year: 2018Β πŸ–οΈπŸ”—