Alvaro Ochoa | Feature Engineering | Research Excellence Award

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Assist. Prof. Dr. Alvaro Ochoa | Feature Engineering | Research Excellence Award

Professor | Federal Institute of Pernambuco | Brazil

Assist. Prof. Dr. Álvaro Ochoa is a researcher at the Instituto Federal de Pernambuco (IFPE), Brazil, with expertise in feature engineering and data-driven modeling. His research focuses on extracting meaningful features from complex datasets to improve the performance of machine learning and AI systems. He applies these methods to engineering and energy-related problems, including forecasting, thermal systems, and sensor-based analysis. His work integrates statistical techniques with modern AI architectures to enhance prediction accuracy and system efficiency. Through applied and interdisciplinary research, he contributes to the advancement of robust, interpretable, and scalable intelligent models.

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Dong Hoon Lee | AI in Healthcare | Research Excellence Award

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Prof. Dr. Dong Hoon Lee | AI in Healthcare | Research Excellence Award

Dong Hoon Lee, Prof. Dr., is an accomplished clinician–scientist whose research focuses on otolaryngology–head and neck surgery, with particular emphasis on head and neck tumors, salivary gland diseases, sinonasal disorders, and rare ENT pathologies. His work integrates clinical case analysis, surgical outcomes, and diagnostic innovation to improve patient management and treatment strategies. Through extensive Scopus-indexed publications, he has contributed significantly to advancing evidence-based practice in ENT medicine, especially in complex and uncommon clinical presentations.

Professor | Chonnam National University Hwasun Hospital | South Korea

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Majeed Rana | Craniomaxillofacial Surgery | Research Excellence Award

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Prof. Dr. Majeed Rana | Craniomaxillofacial Surgery | Research Excellence Award

Full Professor | University of Ulm | Germany

Prof. Dr. Majeed Rana is a researcher at the University of Ulm, Germany, whose work integrates artificial intelligence with clinical and biomedical research. His research focuses on applying AI-driven data analysis, imaging intelligence, and decision-support systems to improve diagnosis, surgical planning, and patient outcomes. He actively contributes to AI-enabled medical modeling and predictive analytics in healthcare. Prof. Rana’s work bridges computational intelligence and clinical practice, supporting precision medicine and evidence-based healthcare.

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2,970

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131

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Xiangyu Wang | Artificial Intelligence | Research Excellence Award

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Prof. Xiangyu Wang | Artificial Intelligence | Research Excellence Award

Executive director | East China Jiaotong University | China

Prof. Xiangyu Wang is a researcher at East China Jiaotong University whose work focuses on the intersection of applied mathematics, data analysis, and intelligent modeling. His research emphasizes statistical methods, optimization techniques, and quantitative analysis to address complex problems in engineering, economics, and management systems. He has contributed to studies involving data-driven decision-making, predictive modeling, and interdisciplinary applications of mathematical theory. Prof. Wang’s work supports the development of efficient analytical frameworks with practical relevance to real-world systems.

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Man Zhang | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Man Zhang | Artificial Intelligence | Best Researcher Award

Professor | Beijing University of Civil Engineering and Architecture Artificial Intelligence | China

Prof. Dr. Man Zhang is a scholar at Beijing University of Civil Engineering and Architecture whose research focuses on the integration of artificial intelligence, spatial data analysis, and urban and architectural studies. His work spans cultural heritage preservation, knowledge graph construction, and smart city analytics, applying advanced models such as GIS-based spatial diagnostics, data field theory, and machine learning. He has made notable contributions to digital heritage documentation, sustainable historic district conservation, and urban transportation demand analysis. Through interdisciplinary methods, his research supports evidence-based urban planning and sustainable development.

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Jay Kachhadia | Data-Driven Decision Making | Data Science Excellence Award

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Mr. Jay Kachhadia | Data-Driven Decision Making | Data Science Excellence Award

Data Science Manager | Paramount | United States

Mr. Jay Kachhadia is a Data Science Manager at Paramount in the United States, specializing in data-driven decision making. His work focuses on applying machine learning, statistical analysis, and large-scale data modeling to support strategic business decisions. He leverages user behavior data and predictive analytics to optimize content performance, personalization, and audience engagement. His research and applied work also explore natural language processing and graph-based methods for insight generation. Overall, his contributions bridge advanced analytics with practical, high-impact decision systems in industry settings.

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PoliBERT: Classifying Political Social Media Messages with BERT
– Social, Cultural and Behavioral Modeling (SBP-BRIMS) Conference, 2020

Atif Ahmed | Big Data Analytics | Research Excellence Award

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Prof. Atif Ahmed | Big Data Analytics | Research Excellence Award

Seattle Children’s Hospital/University of Washington | United States

Prof. Atif Ahmed is a researcher affiliated with Seattle Children’s Hospital and the University of Washington, United States, with expertise in Big Data Analytics. His research focuses on analyzing large-scale biomedical and clinical datasets to uncover meaningful patterns that support diagnosis, prognosis, and personalized treatment. He applies advanced data analytics, statistical modeling, and computational techniques to pediatric cancer, genomics, and translational medicine. His work integrates big data methods with clinical research to improve decision-making in healthcare systems. Overall, his research aims to transform complex healthcare data into actionable insights that advance patient care and medical innovation.

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1,255

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Muhammad Aamir | Artificial Intelligence | Best Researcher Award

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Dr. Muhammad Aamir | Artificial Intelligence | Best Researcher Award

Research Scientist | University of Oxford | United Kingdom

Dr. Muhammad Aamir is a researcher at the University of Oxford, United Kingdom, specializing in Artificial Intelligence and advanced computational modeling. His research focuses on developing intelligent algorithms for data-driven decision-making, machine learning, and real-world AI applications across diverse domains. He has contributed to high-impact studies involving hybrid AI models, neural networks, and intelligent sensing systems. Dr. Aamir’s work emphasizes robustness, scalability, and practical deployment of AI solutions. Through interdisciplinary research, he continues to advance the integration of artificial intelligence into complex scientific and engineering problems.

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Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

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Ms. Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

Professor | University of Seoul | South Korea

Ms. Jihyun Kim is a researcher in Transportation Engineering with a focus on data-driven analysis of traffic systems and emerging mobility technologies. Her research explores traveler behavior, safety, and operational performance using advanced statistical modeling and simulation-based approaches. She has conducted studies on e-scooter operations on sidewalks using VR simulators to evaluate safety and applicability under realistic conditions. Her work also includes the development of intersection- and roundabout-specific gap acceptance models, incorporating environmental factors such as rainfall. Through her research, she contributes evidence-based insights to support safer, smarter, and more efficient urban transportation systems.

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Roberto Giovanni Carbone | Causal Inference | Research Excellence Award

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Prof. Dr. Roberto Giovanni Carbone | Causal Inference | Research Excellence Award

Professor | University of Genoa | Italy

Prof. Roberto G. Carbone’s research centers on interstitial lung diseases, with particular emphasis on idiopathic pulmonary fibrosis and pulmonary hypertension, including their pathophysiology, diagnosis, and advanced therapeutic strategies. A major component of his work focuses on pulmonary vascular disorders and the integration of medical therapy with lung transplantation in severe and end-stage disease. He has contributed extensively to clinical and translational research, shaping evidence-based management of COPD, asthma, and complex interstitial lung conditions. His publications in high-impact journals, including The Lancet and CHEST, reflect his leadership in advancing outcomes-driven respiratory medicine. Through global collaborations and guideline-oriented projects, his research continues to influence international standards of care in pulmonary and vascular lung diseases.


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