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

Posted on 09/01/2025 by ScienceFather

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

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 🎓

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 💼

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

Achievements 🌟

Seed Funding:
Project Title: Safety Stick for Elders
Amount: ₹300,000
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 🏆

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

Publication 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

Posted on 28/12/202428/12/2024 by ScienceFather

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.

Publication Profiles

Googlescholar

Education and Experience

Visiting Research Fellow – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present)
Senior Lecturer (Computer Science) – South Eastern University of Sri Lanka (2020 – Present)
Sessional Academic – School of Electrical Engineering & Computer Science, QUT (2016 – 2019)
Lecturer (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015)
Assistant Lecturer – South Eastern University of Sri Lanka (2010 – 2012)
Demonstrator in Computer Science – South Eastern University of Sri Lanka (2009 – 2010)

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.

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.

Awards and Honors

Senate Honours Award for High Impact Publications – SEUSL (2022 & 2023)
Queensland University of Technology Postgraduate Award (QUTPRA) (2015)
Faculty Write Up (FWU) Scholarship – QUT, Australia (2019)
Effective Communication in Teaching and Learning – QUT, Australia (2019)
Foundation of Teaching and Learning – QUT (2018)

Publication Top Notes

Locating tables in scanned documents for reconstructing and republishing | Cited by: 46 | Year: 2014
Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14) | Cited by: 37 | Year: 2014
AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments | Cited by: 34 | Year: 2014
Plagiarism detection tools and techniques: A comprehensive survey | Cited by: 23 | Year: 2021
Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges | Cited by: 11 | Year: 2023
Contactless finger recognition using invariants from higher order spectra of ridge orientation profiles | Cited by: 10 | Year: 2018
Accelerating text-based plagiarism detection using GPUs | Cited by: 10 | Year: 2015
Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariants | Cited by: 9 | Year: 2018

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award

Posted on 09/12/2024 by ScienceFather

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Professional Profile:

ORCID

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Education 📚

Doctor of Medical Sciences
University of Medicine and Pharmacy Craiova (UMF Craiova)
2014 – 2020
Doctoral Scholarship
UMF Craiova (POSDRU/187/1.5/S/156069)
2014 – 2015
Bachelor’s Degree in Medicine
UMF Craiova
2003 – 2009
High School Diploma
Balş Theoretical High School
1999 – 2003

Professional Development 🎓

Specialist Surgeon
Ministry of Health Order no. 721/04.06.2018
2018 – Present
General Surgery Resident
2012 – 2018
Family Medicine Resident
2010 – 2012

Areas of Competence 💪

DPPD Module (2008)
English for Specific Purposes – Medical English B2 (2021)

Professional Experience 🏥

Current Position:
University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
2022 – Present
Previous Positions:
- University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
- General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
- Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview

Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach

Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative

Analysis

The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic

Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award

Posted on 08/11/2024 by ScienceFather

Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award

Dr. Tara P Banjade, East China University of Technology, Nanchang, China

Dr. Tara P. Banjade is an Associate Professor at the East China University of Technology, Nanchang, China, specializing in applied mathematics, seismic signal processing, and artificial intelligence applications for seismic data processing. He completed his Ph.D. in Applied Mathematics at Harbin Institute of Technology in China in 2020, following a Master’s and Bachelor’s in Mathematics from Tribhuvan University, Nepal. Dr. Banjade’s research focuses on developing mathematical algorithms for denoising seismic data, including 1D earthquake signals and 2D geophysical data like oil, gas, and ground-penetrating radar (GPR) data. His innovative approaches employ techniques such as variational mode decomposition, wavelet transforms, and artificial intelligence, including DARE U-Net for seismic noise attenuation and self-guided singular value decomposition for data edge detection.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Tara P. Banjade demonstrates an impressive academic and research profile, particularly within Applied Mathematics and Seismic Signal Processing, fields which align closely with the scope of the Best Researcher Award. His doctoral education from Harbin Institute of Technology and ongoing research position at East China University of Technology position him as a strong candidate.

Education

Harbin Institute of Technology, Harbin, China
- Ph.D. in Applied Mathematics
- Duration: September 2015 – January 2020
Tribhuvan University, Kathmandu, Nepal
- Master’s in Mathematics
- Duration: 2012 – 2014
Tribhuvan University, Kathmandu, Nepal
- Bachelor’s in Mathematics
- Duration: 2006 – 2010

Work Experience

Associate Professor
- Institution: East China University of Technology, School of Geophysics and Measurement-Control Technology, Nanchang, Jiangxi, China
- Duration: March 2023 – Present
Founder/Chairperson
- Organization: Intellisia Institute for Research and Development, Nepal
Research Director
- Organization: Girija Prasad Koirala Foundation
- Duration: 2020 – Present
Visiting Scientist
- Institution: Research Centre for Applied Science and Technology (RECAST), Tribhuvan University, Nepal
Founding Member and Mathematics Lecturer
- Institution: Arunima College, Tribhuvan University, Nepal
- Duration: 2020 – 2023
Executive Member
- Organization: Nepal Mathematical Society
- Duration: 2021 – 2024
Visiting Faculty
- Institution: School of Mathematical Science, Tribhuvan University, Nepa.