Ali Alyatimi | Deep Learning | Best Research Article Award

Mr. Ali Alyatimi | Deep Learning | Best Research Article Award

Associate Professor | The University of Sydney | Australia

Mr. Ali Alyatimiis a dedicated researcher and academic professional currently pursuing a PhD in Computer Science at the University of Sydney, specializing in deep learning and multi-omics data integration. With a solid interdisciplinary background in computer science, engineering technology, and artificial intelligence, Mr. Ali Alyatimi brings extensive experience in both research and teaching across data science, machine learning, and computer vision domains. His academic foundation includes advanced study in computational methods, database systems, and data-driven modeling, supported by expertise in programming languages such as Python, R, SQL, and MATLAB. His research focuses on developing multi-view deep learning frameworks that enhance biological data fusion and computational biology analysis, supervised by Dr. Vera Chung and Dr. Ali Anaissi. Before commencing doctoral research, he served as a lecturer and trainer in the Department of Computer Science at the College of Technology, Jizan, where he taught programming, database design, and computer network courses, guiding students in developing innovative, database-driven web applications using PHP and MySQL. His earlier research at the University of New England involved the design and implementation of illumination invariance techniques to improve weed detection in pastures using object detection models with YOLOv4 and TensorFlow, demonstrating the practical potential of deep learning in precision agriculture. Alongside research, he actively contributes to academic development through tutoring undergraduate courses in data science and computational methods at the University of Sydney. His current work integrates artificial intelligence, bioinformatics, and data fusion, aiming to advance computational modeling in healthcare and life sciences.

Featured Publications:

Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

Dr. Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

Universidad Tecnológica de Chihuahua | Mexico

Dynhora Danheyda Ramírez Ochoa is a distinguished full-time professor at Universidad Tecnológica de Chihuahua, specializing in automation, data storage and analysis, project management, and digital innovation. With a Doctorate in Technology, a Master’s in Computer Systems Engineering, and a Bachelor’s in Computer Systems with a Hardware specialization, she has cultivated extensive expertise in multidisciplinary academic and technological environments. Since beginning her tenure at the university, she has advised over seventy students, facilitated seventeen graduations, and coordinated the development and monitoring of curricula for the Information Technologies and Digital Innovation program. Her leadership spans chairing and serving on committees for ethics, research, software, and tutoring, and she actively oversees STEM mentorship initiatives through the MC3T project. Dynhora has contributed to national and international conferences, focusing on swarm intelligence, decision-making processes, and emerging technologies, while publishing in specialized journals. Her dedication to fostering collaborative research teams, integrating immersive technologies, and promoting educational innovation reflects her commitment to developing both academic excellence and applied technological solutions, positioning her as an exemplary candidate for the Best Researcher Award.

Featured Publications:

Yin Fei Xu | Deep Learning | Excellence in Research Award

Assoc. Prof. Dr. Yin Fei Xu | Deep Learning | Excellence in Research Award 

Associate Professor | Southeast University  | China

Yinfei Xu is an Associate Researcher in the Department of Signal Processing, School of Information Science and Engineering at Southeast University, a master’s and doctoral supervisor and a Zhishan Young Scholar of Southeast University. He received his PhD in signal and information processing from Southeast University and carried out research as a research assistant and postdoctoral fellow at the Chinese University of Hong Kong and as a visiting PhD scholar at McMaster University in Canada. His research is deeply rooted in statistical signal processing, information theory, machine-learning-driven algorithmic design, optimization for real-world scenarios, statistical data analysis, and the development of artificial-intelligence models for image, speech, and multimodal applications. He has led or participated in more than ten national, provincial, industrial, and laboratory research projects and has published over seventy academic papers in high-impact international journals. As first author he has contributed to a number of influential publications including New Proofs of Gaussian Extremal Inequalities With Applications in IEEE Transactions on Information Theory, Information Embedding With Stegotext Reconstruction in IEEE Transactions on Information Forensics and Security, Secret Key Generation From Vector Gaussian Sources With Public and Private Communications in IEEE Transactions on Information Theory, Vector Gaussian Successive Refinement With Degraded Side Information in IEEE Transactions on Information Theory, Asymptotical Optimality of Change Point Detection With Unknown Discrete Post-Change Distributions in IEEE Signal Processing Letters, The Sum Rate of Vector Gaussian Multiple Description Coding with Tree-Structured Covariance Distortion Constraints in IEEE Transactions on Information Theory.

Profile: Orcid

Featured Publications:

Zhang, J., Xu, H., Zheng, A., Cao, D., Xu, Y., & Lin, C. (2025). Transmitting status updates on infinite capacity systems with eavesdropper: Freshness advantage of legitimate receiver. Entropy.

Zhang, J., & Xu, Y. (2022). Age analysis of status updating system with probabilistic packet preemption. Entropy.

Xu, Y., Zu, Y., & Zhang, H. (2021). Optimal inter-organization control of collaborative advertising with myopic and far-sighted behaviors. Entropy.

Zhang, J., & Xu, Y. Age analysis of status updating system with probabilistic packet preemption.

Ana Abreu | Data Science and Deep Learning | Distinguished Scientist Award

Dr. Ana Abreu | Data Science and Deep Learning | Distinguished Scientist Award

Scientis, at Georgia Dermatopathology Assocaites, United States .

Dr. Ana María Abreu Vélez is a distinguished Colombian-American physician-scientist renowned for her contributions to dermatology, immunology, and public health. As the Scientific and Laboratory Director at GDA in Atlanta, Georgia, and the Scientific and Public Health Director for the Orphan Autoimmune Blistering Response Program in Colombia, she has dedicated over three decades to advancing medical research and healthcare delivery. Dr. Abreu Vélez’s pioneering work in endemic pemphigus foliaceus, particularly in El Bagre, Colombia, has led to the identification of novel disease variants and autoantigens. Her extensive publication record, including over 140 peer-reviewed articles, underscores her commitment to scientific excellence and innovation. Fluent in English and Spanish, with proficiency in Portuguese and French, she bridges cultural and linguistic gaps in global health initiatives. Her leadership in clinical trials, laboratory diagnostics, and public health programs has earned her recognition as a leading expert in autoimmune and tropical diseases.

Professional Profile

Scopus

ORCID​

🎓 Education 

Dr. Abreu Vélez’s academic journey is marked by rigorous training and specialization. She earned her M.D. from the Instituto de Ciencias de la Salud (CES) in Medellín, Colombia, where she also completed a dermatology residency. Her pursuit of advanced knowledge led her to obtain a Ph.D. in Biomedical Health Science and Immunology from the Medical College of Wisconsin and the University of Antioquia. She further honed her expertise through postdoctoral fellowships in immunodermatology and molecular biology at the Medical College of Wisconsin, in clinical trials compliance and research at the Medical College of Georgia, and in oncology at Emory University’s Winship Cancer Institute. These academic endeavors provided her with a robust foundation in clinical research, immunology, and dermatological sciences, enabling her to contribute significantly to medical science and public health.

💼 Experience 

Dr. Abreu Vélez boasts a multifaceted career encompassing clinical practice, research, and public health leadership. As the Scientific and Laboratory Director at GDA in Atlanta, she oversees critical laboratory operations and research initiatives. Her role as the Scientific and Public Health Director for the Orphan Autoimmune Blistering Response Program in Colombia reflects her commitment to addressing neglected tropical diseases. With over 29 years of experience, she has led numerous clinical trials, managed extensive research grants, and developed public health programs at local, national, and international levels. Her work with tribal communities in Colombia’s jungles highlights her dedication to underserved populations. Dr. Abreu Vélez’s expertise spans immunodermatology, molecular biology, and clinical diagnostics, and she has served as a peer reviewer for over 500 scientific publications, underscoring her standing in the medical research community.

🔬 Research Interests 

Dr. Abreu Vélez’s research interests are deeply rooted in immunodermatology and the pathogenesis of autoimmune blistering diseases. Her groundbreaking studies on endemic pemphigus foliaceus in El Bagre, Colombia, have unveiled new disease variants and autoantigens, such as desmoplakins I-II, epiplakin, periplakin, and MYZAP. She has developed novel diagnostic tools, including a 45 kD desmoglein ectodomain ELISA, enhancing disease detection and understanding. Her work extends to exploring the interplay between environmental factors, like mercury and cyanide exposure, and genetic predispositions in disease manifestation. Additionally, she investigates the role of neural receptors and cell junction proteins in autoimmune responses. Her research not only advances scientific knowledge but also informs public health strategies for managing and preventing autoimmune diseases in endemic regions.ResearchGate

🏆 Awards 

Dr. Abreu Vélez’s contributions to medicine and public health have garnered significant recognition. She has been honored for her innovative research in autoimmune dermatological diseases and her dedication to improving healthcare in underserved communities. Her leadership in establishing clinical, epidemiological, and public health programs in Colombia and the United States has been particularly lauded. Her work has led to the identification of new disease variants and the development of novel diagnostic tools, earning her accolades from both academic institutions and public health organizations. Her commitment to mentoring emerging scientists and her extensive peer-review work for prestigious journals further underscore her standing in the scientific community.

📚 Top Noted Publications 

Dr. Abreu Vélez has an extensive publication record, with over 140 peer-reviewed articles and multiple book chapters. Her notable works include:​

📌 1. New complex cell junctions in and around the intervertebral discs discovered using autoantibodies from patients affected by endemic pemphigus foliaceus in El Bagre, Colombia, South America

Publication Date: Sep 2024
Summary:

  • Explores a novel finding where autoantibodies from El Bagre endemic pemphigus foliaceus (El Bagre-EPF) patients help identify previously undetected complex cell junctions in intervertebral discs.

  • Suggests a possible link between autoimmune skin diseases and systemic or spinal connective tissues.

  • Introduces implications for neurological and rheumatological autoimmune cross-reactivity.

📌 2. Immunofluorescence findings in a reactivating lichenoid photoallergic chronic dermatitis (actinic reticuloid)

Publication Date: Aug 2024
Summary:

  • Uses direct immunofluorescence (DIF) to investigate actinic reticuloid, a chronic sun-sensitive dermatitis mimicking cutaneous T-cell lymphoma.

  • Key finding: specific lichenoid immunofluorescent patterns in photodistributed lesions during reactivation.

  • Highlights photosensitive immune mechanisms and possible diagnostic markers.

📌 3. Drug reaction, cyclooxygenase 2, and alteration on lymphatics

Publication Date: Jul 2024
Summary:

  • Investigates how certain drug reactions involve COX-2 expression and lymphatic endothelial damage.

  • Links nonsteroidal anti-inflammatory drugs (NSAIDs) and other medications to lymphatic pathway disruptions, possibly influencing immune cell trafficking and inflammation.

  • Highlights a vascular-immune interface in adverse drug responses.

📌 4. Metals and metalloids as binding antigens in a new variant of endemic pemphigus in El Bagre, Colombia, South America

Publication Date: May 2024
Summary:

  • Explores the role of environmental metals/metalloids (e.g., mercury, gold, arsenic) as potential triggers or binding antigens in a variant of El Bagre-EPF.

  • Suggests haptenization mechanisms where metals bind to proteins, altering immunogenicity.

  • Emphasizes environmental exposure and geoepidemiology of autoimmune blistering diseases.

📌 5. Leukocytoclastic vasculitis induced by medications displaying colocalizing lesional deposits for CD15, myeloperoxidase and HLA-DPDQDR: A Yin and Yang?

Publication Date: Oct 2022
Summary:

  • Analyzes cases of drug-induced leukocytoclastic vasculitis (LCV) showing co-localization of immune markers: CD15 (granulocytes), MPO (neutrophils), and HLA-DPDQDR (MHC class II).

  • Suggests a dual immune role (Yin and Yang) involving both innate and adaptive immunity in vasculitic lesions.

  • Highlights complex immune-pathogenic pathways triggered by certain medications.

Conclusion

✅ Dr. Ana María Abreu Vélez is an outstanding and highly distinguished candidate for the Research for Distinguished Scientist Award. Her record combines high-impact scientific discovery, long-term humanitarian service, transdisciplinary leadership, and international collaboration. Her work has directly improved diagnostics, clinical care, and scientific understanding in neglected areas of medicine.

Her candidacy embodies the spirit of the award—a visionary researcher who not only expands the frontiers of science but also translates that knowledge into real-world impact. With minor refinements, her dossier would be among the most compelling in any international competition.

 

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

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