Assist Prof. Dr. ADITYA CHAKRABORTY, OLD DOMINION UNIVERSITY, United States
Based on Aditya Chakraborty’s qualifications and accomplishments, he appears to be a strong candidate for the Best Researcher Award. Here’s why:
Profile 🌟
Extensive Research Experience 🔬📚
Aditya has over 10 years of experience in statistical modeling and applications. His research spans important areas such as cancer surveillance, chronic disease modeling, and health disparities, demonstrating a broad and impactful research focus.
Relevant Publications 📖📝
His publication record includes notable articles in high-impact journals on topics like predictive modeling for cancer patients, survival analysis, and data-driven approaches in health science. This shows his active contribution to advancing knowledge in his field.
Innovative Work 💡🔍
Aditya’s work on AI-driven predictive models, particularly in cancer research, and his patents related to cancer diseases and healthcare stock optimization, highlight his innovative approach and potential for significant contributions to his field.
Professional Engagement 🤝💼
His involvement in prestigious conferences, such as the American Public Health Association and the American Statistical Association, and his role as a reviewer for leading journals, further underscore his professional engagement and recognition in the academic community.
Teaching and Mentorship 🎓👨🏫
His experience as an Assistant Professor and previous roles as a teaching associate and adjunct faculty demonstrate his commitment to education and mentorship in data science and applied statistics.
Honors and Awards 🏆🎖️
Aditya has received multiple awards and honors, including the EVMS Professional Enrichment Grant and the Tharp Endowed Award, which recognize his academic excellence and contributions.
Ongoing and Pending Grants 💰📑
His involvement in several ongoing and pending grants indicates his active role in current research projects and his future research potential.
Overall, Aditya Chakraborty’s achievements and ongoing work align well with the criteria for the Best Researcher Award, making him a suitable nominee.
Publication Top Notes 📝🗞️⭐
A real data-driven analytical model to predict happiness
Parametric and non-parametric survival analysis of patients with acute myeloid leukemia (AML)
Survival analysis for pancreatic cancer patients using Cox-Proportional Hazard (CPH) model
An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting
COVID‐19 and tobacco products use among US adults, 2021 National Health Interview Survey
A real data-driven clustering approach for countries based on happiness score
A modern approach of survival analysis of patients with pancreatic cancer
A Stock Optimization Problem in Finance: Understanding Financial and Economic Indicators through Analytical Predictive Modeling
Models for cancer diseases
A Modern Analytical Approach for Assessing the Treatment Effectiveness of Pancreatic Adenocarcinoma Patients Belonging to Different Demographics and Cancer Stages