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.

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.

Prof. Rita Santos Inácio | Data Science and Deep Learning | Best Researcher Award

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Prof. Rita Santos Inácio | Data Science and Deep Learning | Best Researcher Award

Professor, at Instituto Politécnico de Beja, Portugal.

Ana Rita Santos Inácio is a Quality Manager and Invited Adjunct Professor at the Polytechnic Institute of Beja. She holds a PhD in Food Science and Nutrition and has research experience in high-pressure technology applied to milk and cheese.

Professional Profile

Scopus

orcid

🎓 Education

– *PhD in Food Science and Nutrition*, Portuguese Catholic University of Porto – School of Biotechnology (2020)- *Master’s in Biotechnology – Food*, University of Aveiro (2013)- *Bachelor’s in Biotechnology*, University of Aveiro (2011)

💼 Experience

– *Quality Manager*, Sensory Laboratory, Polytechnic Institute of Beja (2023-present)- *Invited Adjunct Professor*, Department of Applied Technologies and Sciences, Polytechnic Institute of Beja (2020-present)- *Research Fellow*, University of Aveiro /QOPNA (2019-2020)

🔬 Research Interests

– *Food Science and Nutrition*: high-pressure technology, milk and cheese safety and quality- *Sensory Analysis*: sensory test sheets, sensory session planning and execution, data analysis- *Food Technology*: meat and fish technology, food safety and quality

🏆 Awards

– *”Summa Laude”*, PhD thesis (2020)- *FCT grant*, SFRH/BD/96576/2013 (2014-2019)

📚 Top Noted Publications

– Effect of high-pressure as a non-thermal pasteurisation technology for raw ewes’ milk and cheese safety and quality 🥛
– PhD thesis
– Effect of high-pressure on Serra da Estrela cheese 🧀
– Master’s thesis
– Second-generation bioethanol production: fermentation of acid sulphite liquor by free and immobilised Pichia stipitis 💡

Conclusion

Rita Santos Inácio’s research excellence, teaching experience, and professional activity make her a strong candidate for the Best Researcher Award. With further interdisciplinary collaboration and internationalization, she could further enhance the impact of her research and contribute to advancements in food science and nutrition.

Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

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Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

Computer Engineering, Tunisia Polytechnic School, Tunisia

This individual is a promising researcher and software engineer with a strong background in computer science. Currently pursuing a PhD in ETIC at Tunisia Polytechnic School, University of Carthage La Marsa, they have a solid foundation in computer engineering from the Tunisian Military Academy. With experience as a software engineer at the Tunisian Ministry of National Defense, they have developed expertise in software development, collaboration, and problem-solving. Their research interests lie at the intersection of technology and innovation, with potential applications in various fields.

Profile

orcid

🎓 Education

– *PhD in ETIC*: Tunisia Polytechnic School, University of Carthage La Marsa, Tunis (2024 – Present)- *Computer Engineering*: Tunisian Military Academy, Fondik Jdid (2020-2023)- *Preparatory Mathematics-Physics*: Tunisian Military Academy, Fondik Jdid (2018-2020)- *Relevant Coursework*: Advanced Learning Algorithms, Artificial Intelligence, Computer Architecture, Database Management, Software Methodology, Project Management Fundamentals

👨‍🔬 Experience

– *Software Engineer*: Tunisian Ministry of National Defense (August 2023 – Present) – Participated in the full software development lifecycle – Collaborated with system engineers, hardware designers, and integration/test engineers – Developed optimized code for specific hardware platforms – Applied Agile development methodologies and object-oriented architectures

🔍 Research Interest

The individual’s research focus is not explicitly stated, but based on their education and experience, they may be interested in exploring topics related to artificial intelligence, computer architecture, and software methodology. Potential research areas could include machine learning, data science, and software engineering.

Awards and Honors🏆

No information is available on awards and honors received by the individual.

📚 Publications 

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models

Développement d’un système de détection des anomalies des cellules sanguines et son utilisation en télémédecine

BloodScan

Conclusion

The candidate shows promise for the Best Researcher Award with their relevant education, professional experience, and technical skills. However, additional research experience, interdisciplinary knowledge, and a stronger publication record would significantly enhance their application. With focused effort in these areas, the candidate could become a strong contender for the award.

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.