Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher Award

Posted on 12/05/2025 by ScienceFather

Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher Award

Assoc. Prof. Dr. Waleed Mahmoud Elsayed, Beni-suef university, Saudi Arabia

Dr. Waleed Mahmoud Ead is an accomplished Assistant Professor in the Faculty of Computing and Information at Al-Baha University, Saudi Arabia, with over 15 years of experience in digital business transformation, data science, and applied research. He holds a Ph.D. in Computers and Informatics from Menoufia University, Egypt, where he focused on privacy-preserving techniques in social networks. Throughout his career, Dr. Ead has developed expertise in business intelligence, data mining, machine learning, cloud computing, and big data analytics, and he is SAS-certified in multiple disciplines, including machine learning and visual analytics. His research interests span social network analysis, distributed databases, precision medicine, and cybersecurity. He has served in various academic roles across prominent Egyptian institutions and has co-supervised doctoral and master’s research in genetics, AI, and privacy in healthcare. A dedicated peer reviewer for renowned journals such as Springer Nature and Inderscience, Dr. Ead is also an active contributor to academic conferences and international workshops. Beyond academia, he is a technology enabler, STEM judge, and entrepreneur, with projects focused on sustainable agriculture and digital innovation.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

✅ Summary of Suitability for Best Researcher Award: Dr. Waleed Mahmoud Ead

Dr. Waleed Mahmoud Ead is highly suitable for the Best Researcher Award, given his exceptional combination of research depth, academic leadership, interdisciplinary engagement, and societal impact. His qualifications are supported by the following key strengths

🎓 Education

🥇 2004: B.Sc. (Honor) in Information and Technology Systems – Zagazig University, Egypt
📚 2012: M.Sc. in Computers and Informatics – Menoufia University, Egypt
📘 Thesis: “Developing an Intelligent Technique in Web Mining”
🎓 2018: Ph.D. in Computers and Informatics – Menoufia University, Egypt
📗 Thesis: “Privacy Preserving in Social Networks”

👨‍🏫 Academic Work Experience

🇸🇦 2024–Present: Assistant Professor, Faculty of Computing and Information – Al-Baha University, Saudi Arabia
🇪🇬 2022–2023: Assistant Professor, CSIT – Egypt-Japan University of Science and Technology
🇪🇬 2018–2022: Assistant Professor, Faculty of Computers & AI – Beni-Suef University
🇪🇬 2015–2018: Lecturer Associate, Faculty of Information Technology – MUST University
🇪🇬 2014: Lecturer Associate, Faculty of Computers & Information – Beni-Suef University
🇪🇬 2012: Lecturer Associate, CSC – October 6 University
🇪🇬 2006–2012: Teaching Assistant, CSC – October 6 University

🏆 Achievements & Honors

🧠 SAS Certified: Machine Learning, Visual Analytics, Business Planning
💡 Developed systems for international conferences
🌍 Peer Reviewer for top journals & publishers (Inderscience, Springer, EAI, etc.)
🧬 Co-supervisor for Ph.D. and Master’s students in AI, bioinformatics, and precision medicine
🥇 Honor degree in B.Sc.
👩‍⚖ STEM Judge: INTEL ISEF & Graduation Projects
💼 Speaker and participant in events by DAAD, UNESCO, Microsoft, SAS, Oracle
🌱 Founder of IGreen (Intelligent Adaptive Environmental Farm)
🚀 Participated in entrepreneurship programs (Start Egypt, Flat6Labs)
🧭 Bridging analytics and IT knowledge for social development

Publication Top Notes:

An Optimized Hierarchal Cluster Formation Approach for Management of Smart Cities

ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT

A General Cyber Hygiene Approach for Financial Analytical Environment

Feedforward Deep Learning Optimizer-based RNA-Seq Women’s cancers Detection with a hybrid Classification Models for Biomarker Discovery

Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms

Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award

Posted on 11/01/202520/01/2025 by ScienceFather

Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award

Prof. Dr. Nadia Cheemaa, University of South China, Pakistan

Dr. Nadia Cheema is an Associate Professor in the Department of Mathematics and Physics at the University of South China, Hengyang, Hunan, China. She earned her Ph.D. in Applied Mathematics from the Harbin Institute of Technology, China, as a recipient of the prestigious China Scholarship Council (CSC) fully-funded scholarship. She also holds an M.S. in Applied Mathematics and a B.Sc. (Hons) in Mathematical Sciences from Government College University, Lahore, Pakistan, where she was awarded a gold medal for her academic excellence. Her research interests include the analytical and numerical study of complex dynamical systems, particularly in areas such as quantum mechanics, nonlinear optics, molecular biology, and plasma physics. Dr. Cheema is renowned for her work on solitary wave solutions and nonlinear dispersive wave equations.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Nadia Cheemaa

Dr. Nadia Cheemaa demonstrates exceptional qualifications and contributions to her field, making her a strong candidate for the Best Researcher Award. Below is an assessment of her suitability based on her academic background, research contributions, and professional accomplishments:

📚 Education

🎓 Ph.D. in Applied Mathematics
Harbin Institute of Technology, Harbin, China (09/2017 – 07/2022)
🎓 MS in Applied Mathematics
Government College University, Lahore, Pakistan (09/2012 – 07/2014)
🎓 B.Sc. (Hons) in Mathematical Sciences
Government College University, Lahore, Pakistan (07/2007 – 07/2011)
📜 B.Ed.
Allama Iqbal Open University, Islamabad, Pakistan (01/2014)

💼 Work Experience

👩‍🏫 Associate Professor
Department of Mathematics and Physics, University of South China, Hengyang, Hunan, China (May 2023 – Present)
👩‍🏫 Lecturer of Mathematics (Permanent)
Minhaj International University, Lahore, Pakistan (01/2015 – 07/2016)
👩‍🏫 Lecturer of Mathematics (Visiting)
Government College University, Lahore, Pakistan (07/2016 – 07/2017)
👩‍🏫 Lecturer of Mathematics (Permanent)
Riphah International University, Lahore, Pakistan (02/2017 – 07/2017)
🧑‍🏫 Senior Subject Teacher (SST, BS-16)
Government High School Abdal, Gujranwala, Pakistan (07/2012 – 11/2014)

🏆 Honors / Awards / Achievements

🥇 Fully Funded Scholarship for Ph.D.
Awarded by the China Scholarship Council (CSC).
🥇 Fully Funded Scholarship for M.Phil.
Awarded by Government College University, Lahore (Gold Medal Scholarship).
🏅 Gold Medalist
Achieved first position in B.Sc. (Hons) Mathematics at Government College University, Lahore.
📜 Academic Roll of Honor
Recognized for excellence in B.Sc. (Hons) Mathematics with a CGPA of 3.50.
💻 Merit-Based Laptop Award
Received under the Shahbaz Sharif Scheme for academic excellence in M.Phil. (CGPA: 3.53).
✈️ Travel Grant for Ph.D. Studies
Sponsored by the Higher Education Commission, Pakistan.

Publication Top Notes:

Nonlinear fiber optics with water wave flumes: dynamics of the optical solitons of the derivative nonlinear Schrödinger equation

Optical soliton perturbation with fractional temporal evolution by extended modified auxiliary equation mapping

Optical dromions and domain walls in (2+1)-dimensional coupled system

Chiral soliton solutions of perturbed chiral nonlinear Schrödinger equation with its applications in mathematical physics

Study of the dynamical nonlinear modified Korteweg–de Vries equation arising in plasma physics and its analytical wave solutions

A variety of exact solutions to (2+1)-dimensional schrödinger equation

Mr. Rudrappa Gujanatti | Data Intelligence Awards | Best Researcher Award

Posted on 03/01/2025 by ScienceFather

Mr. Rudrappa Gujanatti | Data Intelligence Awards | Best Researcher Award

Mr. Rudrappa Gujanatti, KLE Technological University, DR. M S Sheshgiri Campus, Belagavi, India

Rudrappa B. Gujanatti is a dedicated academic and IT professional with over 12 years of teaching experience and nearly two years in application development. Currently serving as an Assistant Professor at K.L.E. Dr. M.S. Sheshgiri College of Engineering & Technology, Belgaum, he combines technical expertise with a passion for education. He holds a strong foundation in .NET technology and has a robust understanding of the Software Development Life Cycle (SDLC) and Scrum-based development. His teaching repertoire includes programming languages like C, C++, MATLAB, and scripting languages such as JavaScript and HTML, complemented by hardware and database expertise.

Professional Profile:

SCOPUS

Suitability for the Best Researcher Award:

Based on the provided information, Rudrappa B. Gujanatti demonstrates significant achievements and contributions in both academic and research fields, which make him a strong candidate for the Best Researcher Award. Below are the key points supporting his eligibility and suitability.

Education 🎓

Ph.D. (Pursuing): Enrolled on 12th July 2019.
KSET Qualified: Cleared Karnataka State Eligibility Test (KSET) for Lecturer/Assistant Professorship in Electronic Science with 58.28%, held on 31st December 2017.

Work Experience 💼

Assistant Professor: K. L. E. Dr. M. S. Shesgiri College of Engineering & Technology, Belgaum (9 years teaching experience).
Programmer Analyst: 1.9 years of experience in Application Development using .NET Technology.
Total Teaching Experience: Over 12 years of rich and diversified experience in the field of education.

Achievements 🏆

Patent Applied: Smart Laptop Adjuster Device on 29th June 2023 with Intellectual Property India.
Workshops Attended:
- Instructional School on AI and ML for Researchers, Kotak IISc AI-ML Centre (March 2023).
- Writing Research Proposals & Scientific Articles, KLE Technological University, Hubballi (March 2022).
- Global Navigation Satellite System and Location-based Services, Indian Institute of Remote Sensing (IIRS), ISRO (Feb-Mar 2022).
- Image Processing – Morphological Process and Tool, Pantech e Learning (Feb 2022).

Awards and Honors 🥇

Cleared KSET Exam with distinction for Lecturer/Assistant Professorship (2017).
Recognized for contributions in both academia and IT application development.

Skills and Technical Expertise 💻

Programming Languages: C, C++, MATLAB, Assembly (8085, 8086), Python (in progress).
Tools & Platforms: .NET, GNS3, NS2, MATLAB, IMAGEJ.
Scripting & Databases: JavaScript, HTML, VBScript, XML, SQL Server 2008.
Platforms: Windows XP/98/2000.

Publication Top Notes:

Levenberg-Marquardt-optimized neural network for rainfall forecasting

DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

Deep Learning Approach for Drowsiness Detection Using Facial Features

Comparison of Machine Learning Approaches for Classification of Cardiac Diseases

Machine Learning Applied To Plant Disease Detection

Prof. Jar-Ferr Yang | Machine Learning Awards | Best Researcher Award

Posted on 28/12/2024 by ScienceFather

Prof. Jar-Ferr Yang | Machine Learning Awards | Best Researcher Award

Prof. Jar-Ferr Yang, National Cheng Kung University, Taiwan

Jar-Ferr (Kevin) Yang, Ph.D., an IEEE Fellow, is a Distinguished Professor at the Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University in Tainan, Taiwan. He earned his Ph.D. in Electrical Engineering from the University of Minnesota in 1988 and has since held various academic and administrative positions, including Vice Dean of the Miin Wu School of Computing and Director of multiple research centers focused on ubiquitous computing and multimedia technologies. Dr. Yang has been recognized for his contributions to fast algorithms and efficient realization of video and audio coding, receiving numerous accolades such as the Best Presentation Award and Best Paper Awards at international conferences. He has also served on editorial boards for several prestigious journals and participated in numerous professional activities within the IEEE community. His extensive research and leadership in electrical engineering and computer science continue to impact both academia and industry.

Professional Profile:

SCOPUS

Suitability Summary for Jar-Ferr Ferr Kevin Yang for the Best Researcher Award

Dr. Jar-Ferr Ferr Kevin Yang has demonstrated significant contributions to the field of Electrical Engineering, particularly in the areas of computer and communication engineering. With a robust publication record of 269 documents and over 3,347 citations, his work has garnered substantial recognition within the academic community. His h-index of 27 indicates a solid impact in his field, reflecting both the quantity and quality of his research outputs.

📚 Education

🎓 Ph.D. in Electrical Engineering (1988) – University of Minnesota, USA
🎓 M.S. in Electrical Engineering (1979) – National Taiwan University, Taiwan
🎓 B.S. in Electrical Engineering (1977) – Chung Yuan Christian University, Taiwan

💼 Employment and Related Experiences

🏛️ Distinguished Professor (2004–Present) – Institute of Computer and Communication Engineering, National Cheng Kung University, Taiwan
🏢 Vice Dean (2021–2023) – Miin Wu School of Computing, National Cheng Kung University, Taiwan
🔬 Adjunct Research Fellow (2015–2020) – Office of Science and Technology, Executive Yuan, Taiwan
📊 Director
- TOUCH Center (2012–2019) – National Cheng Kung University
- AR/VR and 3D Multimedia Cross-University Resource Center (2015–2017) – Ministry of Education, Taiwan
📚 Chairperson (2005–2008) – Institute of Computer and Communication Engineering, National Cheng Kung University
🌎 Visiting Scholar (2002) – University of Washington, USA
🏢 Professor and Associate Professor (1988–2004) – Department of Electrical Engineering, National Cheng Kung University, Taiwan
🛠️ Assistant Researcher (1981–1984) – Transmission Research Group, Chung-Hwa Telecommunication Research Laboratories, Taiwan

🏆 Awards and Honors

🏅 IEEE Fellow (2007) – Contributions to fast algorithms and efficient realization of video and audio coding
🏆 Best Paper Awards (Multiple Years: 2015, 2017, 2019) – Recognitions at International Conferences on 3D Systems and Applications
🥇 Golden Medal (2015) – Kwoh-Ting Li Foundation of Science and Literature
🎖️ Outstanding Electrical Engineering Professor Award (2010) – Chinese Institute of Electrical Engineering, Taiwan
🌟 Excellent Research Awards (1998–2004) – National Science Council, Taiwan (Consecutive years)
🏅 Best Industrial Cooperation Professor Award (2011, 2014) – National Cheng Kung University
🏆 Best Presentation and Technical Awards (2020, 2016) – Recognitions for Intelligent Information Processing and Circuit Systems

Publication Top Notes:

CTDP Depacking with Guided Depth Upsampling Networks for Realization of Multiview 3D Video

Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming

An image-guided network for depth edge enhancement

Improved vehicle detection systems with double-layer LSTM modules

Improved quadruple sparse census transform and adaptive multi-shape aggregation algorithms for precise stereo matching

Convolutional Layers Acceleration By Exploring Optimal Filter Structures

Prof. Fabio Caldarola | Neural Network Awards | Best Paper Award

Posted on 12/12/2024 by ScienceFather

Prof. Fabio Caldarola | Neural Network Awards | Best Paper Award

Prof. Fabio Caldarola, Università della Calabria, Italy

Dr. Fabio Caldarola is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Environmental Engineering (DIAm) at the University of Calabria, Italy, a position he has held since January 2022. He earned his Ph.D. in Mathematics and Computer Science from the University of Calabria in December 2013, specializing in Algebraic Number Theory with a focus on Iwasawa Theory. Dr. Caldarola also holds a Laurea in Mathematics, graduating cum laude in 2003 with a thesis in Algebraic Geometry. His academic career includes several postdoctoral research fellowships, contributing to projects such as “Smart Secure & Inclusive Communities” and “I-BEST,” where he applied advanced mathematical concepts to environmental and land engineering challenges. His research interests extend to the study of complex networks, including symmetries and symmetry groups in graphs and quivers. With a strong background in pure and applied mathematics, Dr. Caldarola combines theoretical expertise with practical applications in environmental and computational sciences.

Professional Profile:

ORCID

Summary of Suitability for the Best Paper Award: Fabio Caldarola

Research Contributions
Fabio Caldarola is a distinguished researcher in mathematics and computer science, with a strong focus on innovative applications that address contemporary challenges. His significant contributions are showcased through his research publications, especially in the areas of neural fairness, blockchain protocols, and mathematical theories. Notable works include.

Education 🎓

Ph.D. in Mathematics and Computer Science (December 2013)
- Università della Calabria
- Thesis: Capitulation and Stabilization in various aspects of Iwasawa Theory for Zp-extensions (Algebraic Number Theory)
- Advisor: Dott. A. Bandini
Laurea in Mathematics (May 2003)
- Università della Calabria
- 110/110 cum laude
- Thesis: Rivestimenti Abeliani di Varietà Algebriche (Algebraic Geometry)
- Advisor: Prof. P. A. Oliverio
Maturità Scientifica (July 1998)
- Liceo Scientifico G.B. Scorza, Cosenza
- Score: 60/60

Work Experience 💼

Assistant Professor (SSD MAT/07)
- Department of Environmental Engineering, Università della Calabria
- January 2022 – December 2024
Postdoctoral Research Fellowships 📚
- Smart Secure & Inclusive Communities Project (SSD MAT/02 – INF/01)
  - Department of Mathematics and Computer Science, Università della Calabria
  - August 2020 – October 2021 (15 months)
- I-BEST Project (SSD MAT/02 – ICAR/02)
  - Department of Environmental and Land Engineering and Chemical Engineering
  - June 2019 – May 2020
- I-BEST Project (SSD MAT/03 – ICAR/02)
  - Department of Civil Engineering, Università della Calabria
  - May 2018 – April 2019
Research Collaboration Contract 🔬
- Study of complex networks, focusing on symmetries and symmetry groups in graphs and quivers emerging from real contexts
- Department of Physics, Università della Calabria
- March 2016 – June 2016 (4 months)

Achievements & Awards 🏆

Academic Excellence: Laurea in Mathematics with highest honors (110/110 cum laude) 🎖️
Research Impact: Contributed to advanced research in Algebraic Number Theory, Algebraic Geometry, and complex network analysis.
Ph.D. Scholarship: Funded by Università della Calabria for excellence in doctoral research

Publication Top Notes:

Neural Fairness Blockchain Protocol Using an Elliptic Curves Lottery

Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples

Combinatorics on n-sets: Arithmetic Properties and Numerical Results

New Approaches to Basic Calculus: An Experimentation via Numerical Computation

Numerical Experimentations for a New Set of Local Indices of a Water Network

Assoc. Prof. Dr. Mohammed Farag | Machine Learning Awards | Best Researcher Award

Posted on 10/12/2024 by ScienceFather

Assoc. Prof. Dr. Mohammed Farag | Machine Learning Awards | Best Researcher Award

Assoc. Prof. Dr. Mohammed Farag, Alexandria University, Egypt

Dr. Mohammed M. Farag is an accomplished Associate Professor of Electrical Engineering with extensive academic experience spanning over two decades. Currently affiliated with King Faisal University, Saudi Arabia, and Alexandria University, Egypt, he specializes in the fields of machine learning, signal processing, and cybersecurity. His research is particularly focused on the development of innovative solutions for edge computing and cyber-physical systems. Dr. Farag holds a Ph.D. in Computer Engineering from Virginia Tech, where he conducted groundbreaking research on enhancing trust in cyber-physical systems. His academic journey also includes a Master’s and Bachelor’s degree in Electrical Engineering from Alexandria University, both achieved with distinction. A prolific researcher, he has an impressive publication record in high-impact journals and has secured numerous research grants. Beyond his research contributions, Dr. Farag is dedicated to advancing the field through excellence in teaching, mentorship, and quality assurance, actively contributing to program development and accreditation processes.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Mohammed M. Farag

Dr. Mohammed M. Farag’s academic and professional profile reflects significant accomplishments in research, teaching, and academic leadership. Based on his qualifications and achievements, he is a strong candidate for the Best Researcher Award for the following reasons.

🧑‍🎓 Education

🎓 Ph.D. in Computer Engineering (GPA: 4.00/4.00) – Virginia Tech, USA (2009-2012)
Dissertation: “Architectural Enhancements to Increase Trust in Cyber-Physical Systems Containing Untrusted Software and Hardware”

🎓 M.Sc. in Electrical Engineering (GPA: 4.00/4.00) – Alexandria University, Egypt (2003-2007)
Thesis: “Hardware Implementation of The Advanced Encryption Standard on Field Programmable Gate Arrays”

🎓 B.Sc. in Electrical Engineering, Distinction with Honor (GPA: 3.89/4.00) – Alexandria University, Egypt (1998-2003)
Project: “VLSI Design of Cryptographic Algorithms”

📚 Research Interests

🔍 Machine Learning for Signal Processing & Edge Computing
🔐 Cybersecurity and Hardware Security
💾 VLSI Design and Embedded Systems
🤖 AI Applications in Electrical Engineering
🌐 Cyber-Physical Systems

🏆 Key Achievements

📝 Citations: 411 | h-index: 11 | i10-index: 11 (As of October 2024)
📖 Published in IEEE Access, Sensors, and top-tier journals.
💰 Secured multiple research grants from King Faisal University, totaling over 100,000 SAR.

💻 Technical Expertise

💡 Programming: Python, C++, MATLAB
🖥️ Hardware Design: VHDL, Verilog
📊 Machine Learning: TensorFlow, PyTorch, Keras
🔧 CAD Tools: Synopsys, Cadence, Xilinx

🎓 Teaching Experience

🎓 Electrical Circuits, Signal Processing, Digital Logic, VLSI Design, Embedded Systems, and more!
🎯 Special focus on fostering practical skills in Semiconductor Devices and Cybersecurity.

Publication Top Notes

Wearable sensors based on artificial intelligence models for human activity recognition

A Tiny Matched Filter-Based CNN for Inter-Patient ECG Classification and Arrhythmia Detection at the Edge

Design and Analysis of Convolutional Neural Layers: A Signal Processing Perspective

Matched Filter Interpretation of CNN Classifiers with Application to HAR

A Self-Contained STFT CNN for ECG Classification and Arrhythmia Detection at the Edge

Aggregated CDMA Crossbar With Hybrid ARQ for NoCs

Overloaded CDMA crossbar for network-on-chip

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Posted on 09/12/2024 by ScienceFather

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
2021: Health Services Management Certificate
2016: Ph.D. in Medical Sciences, Ophthalmology
2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

Romanian Society of Ophthalmology (2006-present)
European Society of Retina Specialists (2011-present)
European Society of Ophthalmology (2011-present)

Publication Top Notes

The use of artificial neural networks in studying the progression of glaucoma

Navigating Surgical Challenges: Managing Juvenile Glaucoma in a Patient with Dorfman–Chanarin Syndrome

A Mini-Review on Gene Therapy in Glaucoma and Future Directions

White Light Diffraction Phase Microscopy in Imaging of Breast and Colon Tissues

Initial Clinical Experience with Ahmed Valve in Romania: Five-Year Patient Follow-Up and Outcomes

Odontogenic Orbital Cellulitis at the Crossroads of Surgeries: Multidisciplinary Management and Review

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

Ms. Rachel Stephen Mollel | Machine Learning Awards | Best Scholar Award

Posted on 15/11/2024 by ScienceFather

Ms. Rachel Stephen Mollel | Machine Learning Awards | Best Scholar Award

Ms. Rachel Stephen Mollel, University of Strathclyde, United Kingdom

Rachel Stephen Mollel is a Ph.D. student in Electrical and Electronic Engineering at the University of Strathclyde, UK. Her research focuses on machine learning, explainable AI, energy demand-side management, smart metering, and non-intrusive load monitoring (NILM). She holds a Master of Engineering from Arkansas Tech University, USA, and a Bachelor’s degree in Telecommunication Engineering from Visvesvaraya Technological University, India. Rachel has contributed significantly to the energy sector, exploring the role of smart meters in reducing energy costs and enhancing communication between energy providers and consumers. Her recent work, which investigates the potential of NILM to reveal hidden demand flexibility in residential energy consumption, has been published in various peer-reviewed journals and conferences. Additionally, she is actively involved in improving the interpretability of NILM models to enhance algorithm performance. Her contributions have been recognized with a Commonwealth Scholarship in 2020.

Professional Profile:

ORCID

Summary of Suitability for the Best Scholar Award:

Rachel Stephen Mollel is a highly suitable candidate for the Best Research Scholar Award based on her significant contributions to the fields of machine learning, explainable AI, and energy demand-side management. As a PhD student at the University of Strathclyde, her research aims to address critical energy issues through innovative approaches like Non-Intrusive Load Monitoring (NILM), which helps uncover hidden demand flexibility in residential energy consumption.

Education:

2021 – Present: PhD in Electrical and Electronic Engineering, University of Strathclyde, UK
2010 – 2012: Master of Engineering, Arkansas Tech University, USA (GPA: 3.75/4.0)
2006 – 2010: Bachelor’s degree in Telecommunication Engineering, Visvesvaraya Technological University, India (First Class)

Work Experience:

2011 – 2012: Graduate Assistant, Arkansas Tech University, USA
Assisted in the Digital Logic and Robotics Course & Lab; delivered tutorials, graded lab reports and exams, and supported the development of course materials under faculty supervision.
2014 – 2020: Assistant Lecturer, University of Dar es Salaam, Tanzania
Delivered lectures, prepared and graded exams in Control Systems Engineering and Fundamentals of Electrical Engineering. Supervised undergraduate student projects, practical training, and fieldwork. Managed various administrative duties, such as student registration and coordination of departmental examinations.

Publication top Notes:

Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring

Using explainability tools to inform non-intrusive load monitoring algorithm performance

Using explainability tools to inform NILM algorithm performance

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award

Posted on 14/11/2024 by ScienceFather

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award

Dr. Tesfay Gidey, Addis Ababa Science and Technology University, Ethiopia

Tesfay Gidey Hailu is a distinguished Information and Communication Engineer and data scientist with a strong foundation in computer science, software engineering, data analytics, and machine learning. Holding a Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China, Tesfay specializes in advanced signal processing, indoor localization, information fusion, and health datasets. His expertise spans multiple programming languages, including Python, C++, SQL, and Java, as well as advanced statistical tools like SAS and R, which he uses to derive data-driven insights and support strategic decision-making in technology projects. Tesfay’s career includes notable leadership roles, such as Associate Dean for Research and Technology Transfer at Addis Ababa Science and Technology University (AASTU) and Head of Department at Jimma University. His work in academia has focused on curriculum development, student recruitment and retention, and faculty management, showcasing his commitment to fostering educational excellence. Additionally, Tesfay holds an M.Sc. in Software Engineering and an M.Sc. in Health Informatics and Biostatistics, underscoring his multidisciplinary expertise. With a deep commitment to problem-solving and continuous learning, Tesfay is adept at leveraging data and technology to drive impactful results across both academic and industry settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award for Tesfay Gidey Hailu

Overview: Tesfay Gidey Hailu is an accomplished Information and Communication Engineer, specializing in computer science, data science, and software engineering with extensive experience in machine learning, data structure, algorithm analysis, and business analytics. He holds a Ph.D. in Information and Communication Engineering, has published several journal articles, and serves as a journal reviewer for prestigious journals. His broad expertise and impactful contributions make him a strong candidate for the Best Researcher Award.

🎓 Education:

Ph.D. in Information and Communication Engineering (2023)
University of Electronic Science and Technology of China
Specialized in digital signal processing and information systems, with research in indoor positioning using machine learning algorithms.
MSc in Software Engineering (2018)
HILCOE School of Computer Science and Information Technology
Completed advanced courses in requirement engineering, project management, and software security.
MSc in Health Informatics and Biostatistics (2013)
College of Health Sciences, Mekelle University
Focused on health informatics, biostatistics, epidemiology, and public health project management.

Work Experience

Associate Dean for Research and Technology Transfer
- Institution: AASTU, Addis Ababa, College of Natural and Social Sciences
- Duration: 2017-2019
- Responsibilities: Initiated quality improvement initiatives for manufacturing industries, faculty recruitment, supervised admissions, student recruitment, and conducted industry-related research.
Associate Dean, Interdisciplinary Programs Directorate
- Institution: AASTU, Addis Ababa
- Duration: 2015-2016
- Responsibilities: Managed student services and retention, supervised curriculum quality initiatives, admissions, and presented research findings.
Head of Department
- Institution: Jimma University, Jimma
- Duration: 2008-2009
- Responsibilities: Led department meetings, evaluated performance, streamlined operations to enhance student satisfaction.
Coordinator, Community-Based Training Program (CBTP)
- Institution: Jimma University, Faculty of Natural and Information Sciences Extension Division
- Duration: 2007-2008
- Responsibilities: Oversaw the CBTP initiative, focusing on community-based training programs.