Lijun FU | Computer Science | Excellence in Innovation

Prof Dr. Lijun FU | Computer Science | Excellence in Innovation | 13293

Prof Dr. Lijun FU, Laboratory of Big Data and Artificial Intelligence Technology, Shandong University, China

Prof. Dr. Lijun Fu is a prominent researcher at the Laboratory of Big Data and Artificial Intelligence Technology at Shandong University, China. He specializes in knowledge discovery, multimodal data management, big data analysis, and intelligent systems. His research spans several areas, including smart education, smart medicine, and industry digitization. Dr. Fu has led and contributed to numerous high-impact projects funded by government and industry, and his work has resulted in various academic publications and patents in areas like AI, medical imaging, and knowledge mapping. His contributions have significantly advanced the fields of AI and big data technology.

Profile

Dr. KALPANA Singh | Data Science and Analytics | Best Researcher Award

Dr. KALPANA Singh | Data Science and Analytics | Best Researcher Award

Dr. KALPANA Singh, Hamad Medical Corporation, Qatar

Dr. Kalpana Singh is a seasoned biostatistician with a PhD in Statistics from Amity University, specializing in survival analysis for cardiovascular disease. With over 16 years in public and clinical health research, she excels in both quantitative and qualitative research designs. Currently a Senior Epidemiologist at Hamad Medical Corporation in Qatar, she leads statistical analyses and mentors researchers. She holds lifetime membership in the Indian Society of Medical Statistics and has received numerous awards and grants. Proficient in R, STATA, and various statistical tools, Dr. Singh is dedicated to advancing health research. ๐Ÿงฌ๐Ÿ“Š๐ŸŒ

Publication Profile

Education

Dr. KALPANA Singh earned a Ph.D. in Statistics from Amity University, Noida, India (2014-2018), specializing in the application of survival analysis on cardiovascular disease. ๐Ÿ“Šโค๏ธ They completed a Post Graduate Diploma in Biostatistics & Data Management from the Indian Institute of Public Health, Hyderabad, in 2008-2009. ๐ŸŽ“๐Ÿ“ˆ Dr. [Name] also holds an M.Sc. in Statistics from Dr. B.R. Ambedkar University, Agra (2005-2007), and a B.Sc. in Physics, Chemistry, and Mathematics from the same university (2002-2005). ๐Ÿ”ฌ๐Ÿ“š Their academic journey reflects a strong foundation in statistics and a keen interest in public health and data management. ๐Ÿ’ก๐ŸŒŸ

Experience

With over 16 years of experience in public and clinical health research, I excel in quantitative and qualitative research designs. My skills include excellent management and coordination, and I am efficient in independently managing the analytical aspects of projects. My expertise covers Randomized Control Trials, complex quasi-experimental designs, mixed-method research, and advanced analyses such as survival analysis, longitudinal analysis, and multi-level modeling. I actively participate in new grant proposals and co-author peer-reviewed publications, aligning with the research project’s aims. ๐ŸŒ๐Ÿ“Š๐Ÿงช๐Ÿ“ˆ๐Ÿ“‰๐Ÿ“š๐Ÿ’ก๐Ÿ“‘

Awards

๐Ÿฉบ๐Ÿ’ก Awarded the Fellowship for PGDBM by the Public Health Foundation of India in August 2009. ๐Ÿ… Completed a Master’s in Data Science from Emory University & CCDC in May 2022. ๐Ÿ“Š As Principal Investigator, leading a Nurse-led medication self-management intervention study to improve medication adherence in adults with multimorbidity, funded by HMC MRC Qatar. ๐Ÿค Co-Investigator for a Digital Health-enabled intervention in India funded by MRC/Wellcome Trust. ๐Ÿ“š Serving as co-PI on 15 ongoing studies at HMC, mentoring 3 Ph.D. students and 5 Master’s students. ๐ŸŽ“

Research focus

K Singh’s research focuses on public health, specifically targeting cardiovascular health, hypertension, multimorbidity, and chronic diseases in South Asian populations. Key areas include the prevalence and risk factors of hypertension and obesity, the effectiveness of yoga-based cardiac rehabilitation, and the impact of vegetarian diets on cardiometabolic risks. Singhโ€™s studies often compare health outcomes between urban and rural regions, as well as between South Asian and US populations, to identify trends and inform health interventions. Additionally, Singh investigates the prevalence of depression in diabetic patients and chronic kidney disease progression.

Publication Top Notes

Multimorbidity in South Asian adults: prevalence, risk factors and mortality

Changes in hypertension prevalence, awareness, treatment and control rates over 20 years in National Capital Region of India: results from a repeat cross-sectional study

Yoga-based cardiac rehabilitation after acute myocardial infarction: a randomized trial

Vegetarianism and cardiometabolic disease risk factors: differences between South Asian and US adults

20-Year trend of CVD risk factors: urban and rural national capital region of India

Prevalence of sustained hypertension and obesity among urban and rural adolescents: a school-based, cross-sectional study in North India

Prevalence of depression in patients with type 2 diabetes attending an outpatient clinic in India

Effectiveness and cost-effectiveness of a Yoga-based Cardiac Rehabilitation (Yoga-CaRe) program following acute myocardial infarction: Study rationale and design of a multiย โ€ฆ

Prevalence of chronic kidney disease and risk factors for its progression: a cross-sectional comparison of Indians living in Indian versus US cities

Determinants of birth intervals in Tamil Nadu in India: developing Cox hazard models with validations and predictions