Longlong Niu | Data Science and Deep Learning | Research Excellence Award

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Dr. Longlong Niu | Data Science and Deep Learning | Research Excellence Award

Student at Xiangtan University | China

Dr. Longlong Niu, Ph.D., School of Mathematics and Computational Science, Xiangtan University, specializes in radio wave propagation theory and applications in radar, communication, and navigation, focusing on signal processing, data analysis in wireless systems, and electromagnetic compatibility, has led and contributed to numerous national defense and innovation research projects, and received multiple prestigious national and provincial awards for scientific and technological progress.

Citation Metrics (Scopus)

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Citations
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Documents
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🟦 Citations   🟥 Documents   🟩 h-index


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Featured Publications

Yasaman | Data Science and Deep Learning | Editorial Board Member

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Dr. Yasaman | Data Science and Deep Learning | Editorial Board Member

Research Scholarat at Lille Univesity | France

Dr. Yasaman is a computer engineer and independent researcher from Tehran, Iran, whose academic journey spans a B.Sc. in puzzle-game mechatronic design and microcontroller-based control systems, an M.Sc. in multi-core chip testability with on-chip 3D-memory banks, and a Ph.D. focused on deep learning accelerator architectures built on networks-on-chip communication infrastructures; throughout her career she has distinguished herself through top national academic rankings, excellence awards in robotics competitions, and recognition for her highly cited research in medical-AI literature, complemented by the publication of a specialized book chapter on deep learning accelerators; her multidisciplinary expertise extends across robotics, integrated digital circuits, FPGA testability, NoC-based architectures, IoT, machine learning, AI algorithms, and advanced medical applications; her current research concentrates on machine learning and deep learning algorithms for hardware-aware intelligence, voice detection, audio recognition, and sound-based assistive systems to support individuals with neurological disorders such as stroke and dementia, while also exploring neural pattern interpretation for resilient AI-driven architectures; she has contributed as a reviewer for leading scientific journals, served as a guest editor and technical program committee member across notable international conferences, and delivered advanced teaching in digital design, VHDL, and engineering courses at major universities; her professional experience includes managing automation and environmental control systems in industrial composting facilities, engineering roles in EMS and OEM companies, and long-term research appointments at the Islamic Azad University Science and Research Branch; equipped with multilingual proficiency in French, Persian, English, and Arabic, and technical skills spanning VHDL, C-family languages, Python, Java, Matlab, SystemC tools, simulation environments, network simulators, CAD tools, and scientific typographic platforms, she continues to contribute impactful interdisciplinary research shaping advanced intelligent systems for both hardware and healthcare domains.

Profile: Google Scholar

Featured Publications:

Rahmani, A. M., & Hosseini Mirmahaleh, S. Y. (2021). Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review. Sustainable Cities and Society, 64, 102568.

Hosseini Mirmahaleh, S. Y., Reshadi, M., Shabani, H., Guo, X., & Bagherzadeh, N. (2019). Flow mapping and data distribution on mesh-based deep learning accelerator. In Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip (NoC).

Hosseini Mirmahaleh, S. Y., & Rahmani, A. M. (2019). DNN pruning and mapping on NoC-based communication infrastructure. Microelectronics Journal, 94, 104655.

Hosseini Mirmahaleh, S. Y., Reshadi, M., & Bagherzadeh, N. (2020). Flow mapping on mesh-based deep learning accelerator. Journal of Parallel and Distributed Computing, 144, 80–97.

Rahmani, A. M., & Hosseini Mirmahaleh, S. Y. (2022). Flexible-clustering based on application priority to improve IoMT efficiency and dependability. Sustainability, 14(17), 10666.

Kumari | Deep Learning | Best Researcher Award

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Mrs. G. Kumari | Deep Learning | Best Researcher Award

Senior Assistant Professor at Vignan’s Institute Of Information Technology | India

Dr. G. Kumari is a highly dedicated academician and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam. She is pursuing her Ph.D. from Jawaharlal Nehru Technological University, Kakinada (JNTUK), with a research focus on advanced machine learning applications, data-driven predictive systems, and intelligent computing methodologies. Her academic foundation is built upon an M.Tech in Computer Science and Engineering from Godavari Institute of Engineering and Technology (GIET), Rajahmundry, and a B.Tech in Computer Science from Aditya Institute of Technology and Management (AITAM), Tekkali. With an extensive teaching career spanning over a decade and a half across reputed institutions, she has taught core computer science subjects including Machine Learning, Software Engineering, Computer Networks, and Advanced Data Structures. Her research contributions are widely recognized, encompassing publications in reputed international journals and conferences. Her works include Diabetes Prediction using Machine Learning and Deep Neural Models with Hybrid Resampling Techniques, Graph Temporal Hybrid Neural Networks for Enhanced Malware Detection in Banking Systems, Enhancing Liver Disease Detection and Management with Advanced Machine Learning Models, Cancer Detection with Ensemble Learning Model from Novel Precedence-based Algorithms, Statistical Approaches for Forecasting Air Pollution: A Review, and Phish Alert: Phishing Website Detection using XGBoost Algorithm. She has also contributed to numerous applied AI and software engineering domains with publications such as Room Temperature Based Alerting System, Vehicle Number Plate Recognition and Logging using OpenCV and Tesseract-OCR, High-Level Security in Cloud Using Hybridization of Public Key Cryptography, A Novel Approach for Extraction of Dominant Representation Points of the Image, A Trusted New Method for Authentication and Security for Web Applications in Cloud using RSA Algorithm, Classification of Customer to Upgrade Profits in Retail Market with Deep Learning Methodology, Translation and Transliteration of Words, Future of Software Testing: Novel Perspective, Challenges, and Efficient Resource Allocation Algorithm in Dependable Distributed Computing Systems Using A Colony Optimization.

Profile: Orcid 

Featured Publications:

Rao, K. V., Devi, J. A., Anuradha, Y., Kumari, G., Kumar, M. S., & Rao, M. S. (2024, August 30). Enhancing liver disease detection and management with advanced machine learning models. International Journal of Experimental Research and Review, 42, Article 009.

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

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

Scientis, at Georgia Dermatopathology Assocaites, United States .

Dr. Ana MarĂ­a Abreu VĂ©lez 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 VĂ©lez’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 VĂ©lez’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 MedellĂ­n, 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 VĂ©lez 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 VĂ©lez’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 VĂ©lez’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 VĂ©lez’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:​

đź“Ś 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.

đź“Ś 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.

đź“Ś 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.

đź“Ś 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.

đź“Ś 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

âś… Dr. Ana MarĂ­a Abreu VĂ©lez 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.