Zinah Saeed | Deep Learning | Best Researcher Award

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Ms. Zinah Saeed | Deep Learning | Best Researcher Award

Universiti Sains Malaysia | Iraq

Saeed ZR is a dedicated researcher and academic with a strong background in computer science, networking technology, and innovative applications of artificial intelligence, currently pursuing his doctoral studies in computer science at the School of Computer Sciences, Universiti Sains Malaysia, after completing a master’s degree in networking technology at Universiti Teknikal Malaysia Melaka and a bachelor’s degree in computer science at Mustansiriyah University in Baghdad, building his academic journey on a foundation of technical expertise and analytical thinking, his research interests cover metaheuristic algorithms, artificial intelligence, deep learning, gesture recognition, assistive technologies, human–computer interaction, and networking security, he has contributed to the academic community with impactful publications including a hybrid improved IRSO–CNN algorithm for accurate recognition of dynamic gestures in Malaysian sign language, a systematic review on systems-based sensory gloves for sign language pattern recognition, and research on improving cloud storage security using three layers of cryptography algorithms, his professional journey includes significant teaching experience as a lecturer at the Iraqi Police Academy where he worked to advance education and training, and his ongoing research and doctoral studies have strengthened his ability to design, implement, and test intelligent systems addressing real-world challenges, his technical skills encompass proficiency in computer software, Microsoft Office applications, and operating systems across Windows and Mac environments, alongside practical programming expertise in Python for scripting and data processing, he is also experienced with widely used research and software tools such as Jupyter, Colab, Git, SPSS, and basic MATLAB, beyond his professional life he nurtures a passion for reading, research, and continuous learning, qualities that support his growth as a thoughtful academic and innovative researcher, his multidisciplinary focus, combined with a strong commitment to impactful scientific contributions, reflects a future-oriented career in advancing artificial intelligence and human-centered technologies.

Profile: Google Scholar

Featured Publications:

Saeed, Z. R., Ibrahim, N. F., Zainol, Z. B., & Mohammed, K. K. (2025). A hybrid improved IRSO–CNN algorithm for accurate recognition of dynamic gestures in Malaysian sign language. Journal of Electrical and Computer Engineering, 2025(1), 6430675.

Saeed, Z. R., Zainol, Z. B., Zaidan, B. B., & Alamoodi, A. H. (2022). A systematic review on systems-based sensory gloves for sign language pattern recognition: An update from 2017 to 2022. IEEE Access, 10, 123358–123377.

Saeed, Z. R., Zakiah Ayop, N. A., & Baharon, M. R. (2018). Improved cloud storage security using three layers cryptography algorithms. International Journal of Computer Science and Information Security, 16(10), 11–18.

 

Sheeba Rachel S | Machine Learning | Best Researcher Award

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Mrs. Sheeba Rachel S | Machine Learning| Best Researcher Award

Assistant Professor | Sri Sai Ram Engineering College | India

  S. Sheeba Rachel has contributed extensively to the fields of artificial intelligence, machine learning, deep learning, healthcare technologies, smart devices, image processing, cloud computing, and Internet of Things with publications including Cardiovascular Disease Prediction Using Machine Learning and Deep Learning, Heart Disease Prediction of an Individual Using SVM Algorithm, Automated Driving License Testing System, Real-Time Face Detection and Identification Using Machine Learning Algorithm for Improving the Security in Public Places Using Closed Circuit Television, LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR, VATTEN – A Smart Water Monitoring System, Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model, EDSYS – A Smart Campus Management System, TRACKME – Smart Watch for Women, Women’s Safety with a Smart Foot Device, Mental Health Monitoring Using Sentimental Analysis, Facilitation of Multipurpose Gloves for Impaired People, Extending OVS with Deep Packet Inspection Functionalities, Courier Service Management and Tracking Using Android Application, Detecting the Abandoned Borewell Using Image Processing, Smart Hospitals E-Medico Management System, ADROIT LIMB – Brain Controlled Artificial Limb, Autonomous Movable Packrat for Habitual Chores, Postal Bag Tracking and Alerting System, Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead, Image Fusion of MRI Images Using Discrete Wavelet Transform, Probabilistic Flooding Based File Search in Peer to Peer Network, Multi Stage for Informative Gene Selection, Mutual Information in Stages for Informative Gene Selection, Computation of Mutual Information in Stages for Gene Selection from Microarray Data, and several other impactful studies in international journals and conferences indexed in Scopus, IEEE, and UGC; she has further contributed to innovation through consultancy projects such as AI-based pre-examination dental software and non-invasive sugar detection using eye retina, authored books and chapters including Fundamentals of Machine Learning, Management Analytics and Software Engineering, Recent Trends in Engineering and Technology – Edge Computing, and secured patents like Artificial Intelligence Based Heart Rate Monitoring Device for Sports Training, IOT Based Washing Machine for Agricultural Crops, Human Identity Recognition System Using Cloud Machine Learning and Deep Learning Algorithms, Gesture Based Anti-Rape Device, while also holding active memberships with IEEE, ISTE, IEI, UACEE, IAENG, and IACSIT; her academic journey has been marked by mentorship of award-winning projects, reviewer and session chair responsibilities in international conferences, and recognition such as the Best Faculty Advisor Award demonstrating her influence in advancing technology-driven solutions for healthcare, safety, smart systems, and education through research, teaching, patents, and community engagement.

Profile:  Google Scholar

Featured Publications:

Abebaw Agegne | Deep Learning | Best Researcher Award

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Mr. Abebaw Agegne | Deep Learning | Best Researcher Award

Debark University | Ethiopia

Abebaw Agegne Engda is an Ethiopian scholar and academic who has devoted his professional career to the advancement of computer science education and research while fostering strong community engagement and service. He earned his Bachelor of Science degree in Computer Science from Debre Tabor University with high academic distinction, completing his studies with a focus on programming, systems, and applied computing. He later pursued a Master of Science degree in Computer Science at the University of Gondar, where he further deepened his knowledge of computational theory, advanced software systems, and the practical applications of computer science in solving real-world challenges. His academic excellence is demonstrated by his strong cumulative performance in both degrees, which reflect a commitment to rigor and perseverance. Professionally, he began his teaching journey as an Assistant Lecturer at Debark University, where he taught undergraduate computer science courses and contributed to shaping the foundational knowledge of young scholars. Later, he advanced to the position of Lecturer at Debark University, where he continues to teach computer science students across a variety of specializations, delivering core programming, system analysis, and applied computing courses while contributing to other departments with harmonized curriculum approaches. His students have consistently benefited from his structured teaching style, with many advancing to careers in high-level companies and industries, demonstrating the practical effectiveness of his teaching methodologies. He is capable of teaching a wide range of programming languages and has also been recognized for his leadership within his department, guiding academic processes, curriculum harmonization, and student development initiatives. His research works and community service contributions are documented and accessible through his ORCID profile, reflecting his engagement with both scholarly and societal responsibilities. Beyond academics, he is a person of discipline, patience, and strong work habits, qualities that enhance his ability to serve effectively in challenging environments and to maintain positive relationships with colleagues and students. He is fluent in Amharic and English, which allows him to engage in both local and international academic contexts, and his hobbies such as reading, traveling, counseling, and cultural exploration reflect a personality committed to lifelong learning, empathy, and service to others. Overall, his biography presents the portrait of a self-respecting, fair, and hardworking educator who combines academic achievement, teaching excellence, research contributions, and community service, making him a valuable asset in the advancement of computer science education in Ethiopia and beyond.

Profile: Orcid

Featured Publications:

Asnake, N. W., Ayalew, A. M., & Engda, A. A. (2025). Detection of oral squamous cell carcinoma cancer using AlexNet on histopathological images. Discover Applied Sciences.

Ayele, M. K., Baye, G. A., Yesuf, S. H., Engda, A. A., & Mitiku, E. T. (2025). Predicting stunting status among under five children in Ethiopia using ensemble machine learning algorithms. Scientific Reports.

Engda, A. A., Salau, A. O., & Ajala, O. (2025). Classical machine learning approaches for early hypertension risk prediction: A systematic review. Applied AI Letters.

Engda, A. A., Zewale, G. E., Mihret, B. G., & Adane, A. T. (2025). Developing pneumonia detection model using chest X-ray images: Deep learning approach. Preprint.

Engda, A. A. (2025). Detection of oral squamous cell carcinoma cancer using AlexNet on histopathological images. Conference paper.

Engda, A. A. (2025). Development of a case-based reasoning system for onion disease diagnosis and treatment. Proceedings of the IEEE International Conference on Emerging and Sustainable Technologies for Power and ICT in a Developing Society.

alain R THIERRY | Data Science and Deep Learning | Excellence in Research

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Prof. alain R THIERRY  | Data Science and Deep Learning | Excellence in Research

Director of Research, INSERM U1194, France

Dr. alain R THIERRY, a distinguished biologist, and cancer researcher, is a Director of Research at INSERM and a key figure at the Institut de Recherche en Cancérologie de Montpellier. With an impressive track record in molecular biology, gene therapy, and cancer research, Dr. alain R THIERRY has held numerous influential positions in academia and the biotechnology sector, including roles at NIH and Georgetown University. A prolific author and scientific leader, they have also founded biotech companies like MedinCell and DiaDx. Dr. alain R THIERRYcontinues to drive innovative therapeutic solutions, recognized by international honors and awards.

Publication Profile

scholar

Education🎓 

2003: Habilitation à Diriger les Recherches (HDR) in Biology-Health, Université Montpellier II 1987: CES in Human Biology (Oncology), Faculté de Médecine Paris-Sud 1986: PhD in Biochemistry, Cellular & Molecular Pharmacology, Université Montpellier II 1983: MSc in Cellular & Molecular Biology, Université de Clermont-Ferrand II 1983: Diplôme d’Ingénieur, Université Clermont-Fd II 1982: BSc in Biological Sciences & Technology, Université Clermont-Fd

Professional Experience💼 

208-present: Director of Research, INSERM, Institut de Recherche en Cancérologie, Montpellier 2001-2007: Associate Professor, Université Montpellier II2003-2004: Director of R&D, MedinCell SA, Montpellier 1997-2000: Scientific Director, Gene Therapy Dept., Biovector Therapeutics 1992-1996: Scientist, Tumor Cell Biology Lab, NCI/NIH, Bethesda 1992-1994: Adjunct Assistant Professor, Lombardi Cancer Institute, Washington DC 1988-1992: Postdoctoral Fellow, Lombardi Cancer Center, Georgetown University

Awards and Honors🏆 

1994: Federal Technology Award, NIH, USA ($10,000) 2002: Prix National de l’Innovation, Ministry of Education and Research, Paris (€300,000) 2016: Grand Prix de l’Innovation Thérapeutique, Fondation B. Denys & FRM, Montpellier (€50,000) 2022: Finalist, Prix Innovation Unicancer 2022: Innovation Award, Montpellier Université Excellence

Research Focus 🔬 

Molecular Oncology: Pioneer in understanding the molecular pathways of cancer and therapeutic gene delivery Gene Therapy: Focus on targeted gene therapy to treat cancers, with expertise in vectors and delivery systems Circulating DNA: Breakthrough research in non-invasive biomarkers for early cancer detection
Therapeutics Innovation: Key developer of novel therapeutic strategies, including drug delivery systems and cancer diagnostics
Collaborative Research: Strong interdisciplinary collaborations in biotechnology and cancer research

Publication  Top Notes

  • Origins, structures, and functions of circulating DNA in oncology
    AR Thierry, S El Messaoudi, PB Gahan, P Anker, M Stroun
    Cancer and Metastasis Reviews, 2016 | 812 citations
  • Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA
    AR Thierry, F Mouliere, S El Messaoudi, C Mollevi, E Lopez-Crapez
    Nature Medicine, 2014 | 735 citations
  • Nomenclature for synthetic gene delivery systems
    PL Felgner, Y Barenholz, JP Behr, SH Cheng, P Cullis, L Huang, AR Thierry
    Human Gene Therapy, 1997 | 652 citations
  • High fragmentation characterizes tumour-derived circulating DNA
    F Mouliere, B Robert, E Arnau Peyrotte, M Del Rio, M Ychou, F Molina, AR Thierry
    PLOS One, 2011 | 627 citations
  • Circulating cell-free DNA: preanalytical considerations
    S El Messaoudi, F Rolet, F Mouliere, AR Thierry
    Clinica Chimica Acta, 2013 | 602 citations

Conclusion:

This individual is highly suitable for the Best Researcher Award. Their long-standing career in oncology research, leadership in both academic and biotech sectors, and recognition through awards place them in an elite category of researchers. Continued engagement in broader interdisciplinary fields and public communication could further elevate their profile. Overall, their qualifications, contributions, and leadership make them a strong candidate for excellence in research awards.

Dr. Talent Diotrefe Banda | Artificial Neural Networks | Best Researcher Award

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Dr. Talent Diotrefe Banda | Artificial Neural Networks | Best Researcher Award

Dr. Talent Diotrefe Banda, ZAKUMI Consulting Engineers, South Africa

Talent Diotrefe Banda is a highly accomplished civil engineer with over 20 years of experience, specializing in water science, AI, ANNs, and WQIs. He holds numerous qualifications, including a PhD in Engineering from the University of KwaZulu-Natal, an MBA from the University of Cape Town, and multiple degrees from the Tshwane University of Technology and Bulawayo Polytechnic. As the CEO of ZAKUMI Consulting Engineers, Talent has a robust professional background with memberships in ECSA, SAICE, SABTACO, WISA, and ZIE. He has received multiple academic and business excellence awards and has published extensively in peer-reviewed journals.

Professional Profiles:

Google Scholar

QUALIFICATIONS 🎓

Master of Business Administration (MBA) – University of Cape Town, South Africa (2022)Doctor of Philosophy in Engineering (Civil) – University of KwaZulu Natal, South Africa (2020)Master of Technology Degree in Engineering: Civil – Tshwane University of Technology, South Africa (2015)Bachelor of Technology Degree in Engineering: Civil – Tshwane University of Technology, South Africa (2011)National Diploma in Civil Engineering – Bulawayo Polytechnic, Zimbabwe (2003)National Certificate in Civil Engineering – Bulawayo Polytechnic, Zimbabwe (2001)

Talent Diotrefe Banda: Chief Executive Officer (Civil Engineer) 🌟

Employer: ZAKUMI Consulting Engineers (Pty) LtdName of Staff: Talent Diotrefe BANDADate of Birth: 19th of October 1982National Identity Number: 821019 5989 188Nationality: Zimbabwean with South African Permanent Residence PermitExperience: Twenty (20) yearsArea of Specialisation: Civil Engineering, Water Scientist, Artificial Intelligence (AI), Artificial Neural Networks (ANNs), Water Quality Indices (WQIs), Research Scientist

PROFESSIONAL MEMBERSHIP 🏆

Professional Engineering Technician (Pr. Techni Eng) – Engineering Council of South Africa (ECSA)Registration Number: 201030123 from 06th of July 2010Member (MSAICE) – South Africa Institution of Civil Engineering (SAICE)Registration Number: 207890 from 06th of December 2007 (Changed from Associate Member on the 14th of December 2015)Member (MSABTACO) – South African Black Technical & Allied Careers Organization (SABTACO)Registration Number: LIMP/0095I from 22nd of October 2007Member (MWISA) – Water Institute of Southern Africa (WISA)Registration Number: 25927 from 23rd of June 2014Graduate Technician (GradTZweIE) – Zimbabwe Institution of Engineers (ZIE)Registration Number: ZIE073967 from 30th of April 2007Competent Person (Competent Engineer) – National Home Builders Registration Council (NHBRC)Registration Number: 3000166150 from 01st of June 2016

PROFILE & KEY EXPERIENCE 📈

A multi-award-winning Civil Engineer with several university qualifications, including a Doctor of Philosophy in Engineering (Civil) from the University of KwaZulu-Natal, a Master of Technology in Engineering (Civil), and a Bachelor of Technology in Engineering (Civil) from the Tshwane University of Technology where he obtained an award for the Outstanding Research: Young Water Scientist of 2012 with WaterNet/WARFSA/GWP – SA for his paper entitled “Analysis of the gazetted pricing strategy for raw water use charges in South Africa”. Furthermore, Talent holds a National Diploma in Engineering (Civil) and a National Certificate in Engineering (Civil) from Bulawayo Polytechnic, where he received three academic awards. Dr. Banda is registered as a Professional Engineering Technician (Pr. Techni. Eng) with the Engineering Council of South Africa, where he is a serving member of the Registration Committee of Professional Engineering Technicians. He gained more than twenty (20) years of experience working on Civil Engineering Projects responsible for water and wastewater designs, roads and stormwater drainage, contract and tender documentation, project implementation, and management.Additionally, Talent has a Master of Business Administration (MBA) from the University of Cape Town, Graduate School of Business (GSB) in South Africa, where he obtained an academic award as the Best Student for the Economics for Business Module. Dr. Talent Banda has ten academic and business excellence awards from institutions of higher learning and corporate organizations in Zimbabwe and South Africa. Additionally, Talent has ten publications, including peer-reviewed journal articles, conference papers, master’s dissertations, and doctoral thesis. Dr. Banda serves as Peer Reviewer and Editor in three Academic Journals. Lastly, Talent holds key positions in various working groups, committees, and management boards. 

✍️Publications Top Note :

Development of Water Quality Indices (WQIs): A Review 🌊📊

Authors: TD Banda, MV Kumarasamy Journal: Polish Journal of Environmental Studies Volume: 29 (3) Citations: 74 Year: 2020

Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds 🏞️🔬

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 12 (6), 1584 Citations: 62 Year: 2020

Development of a Universal Water Quality Index (UWQI) for South African River Catchments 🌍💧

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 12 (6), 1534 Citations: 34 Year: 2020

A Review of the Existing Water Quality Indices (WQIs) 📚📈

Authors: TD Banda, M Kumarasamy Journal: Pollution Research Volume: 39 (2), 489-514 Citations: 23 Year: 2020

Developing an Equitable Raw Water Pricing Model: The Vaal Case Study 💰💦

Author: TD Banda Institution: Tshwane University of Technology Citations: 11 Year: 2015

Aggregation Techniques Applied in Water Quality Indices (WQIs) 🔄🌐

Authors: TD Banda, M Kumarasamy Journal: Pollution Research Volume: 39 (2), 400-412 Citations: 8 Year: 2020

Development of a Universal Water Quality Index and Water Quality Variability Model for South African River Catchments 🌊🧪

Author: TD Banda Year: 2020

Artificial Neural Network (ANN)-Based Water Quality Index (WQI) for Assessing Spatiotemporal Trends in Surface Water Quality—A Case Study of South African River Basins 🤖🌍

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 16 (11), 1485 Year: 2024