Rizwan Yousuf | Statistics Award | Best Researcher Award

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Dr. Rizwan Yousuf | Statistics Award | Best Researcher Award

Dr. Rizwan Yousuf, CHANDIGARH UNIVERSITY MOHALI PUNJAB INDIA, India

Dr. Rizwan Yousuf, a Ph.D. holder in Statistics, boasts expertise in statistical modeling, analysis, and regression techniques 📊. With a robust academic background from Sher-e-Kashmir University and University of Kashmir, he has delved into diverse statistical realms, including bio statistics and multivariate analysis 🧮. Driven by a passion for research, he has investigated structural properties and estimation techniques in his dissertations. Formerly a Field Investigator, he now imparts knowledge as an Assistant Professor at Chandigarh University, bringing his extensive experience to the forefront of academia 🎓

Publication Profile

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Education

Dr. Rizwan Yousuf’s academic journey reflects a steadfast dedication to statistical sciences 📊. He earned his Ph.D. in Statistics from Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu (SKUAST-J) in December 2021, preceded by an M.Sc. from the University of Kashmir, Srinagar, in January 2018. His scholarly pursuits began with a B.Sc. (3 years) degree from the University of Kashmir in May 2015. Dr. Yousuf’s research endeavors culminated in dissertations exploring diverse statistical domains, notably his Ph.D. thesis delving into the estimation and validation of linear and non-linear production functions through robust regression techniques 🎓.

Working Experience

Dr. Rizwan Yousuf embarked on his professional journey as a Field Investigator, traversing through the intricacies of data collection and analysis at Degree College Beerwah Budgam Kashmir from September 2022 to March 2023 📋. Transitioning seamlessly, he currently serves as an Assistant Professor of Mathematics at Chandigarh University since May 2023, contributing his statistical expertise to academia 🎓. His experiences span from fieldwork to classroom instruction, enriching his understanding of statistical methodologies and their practical applications. With a dedication to fostering knowledge and research, Dr. Yousuf continues to inspire and guide students in their academic pursuits.

Research Focus

Dr. Rizwan Yousuf’s research primarily focuses on statistical modeling and analysis 📊, with a particular emphasis on robust regression techniques. His work encompasses a wide range of applications, including the assessment of stress levels and coping mechanisms among married working women, economic ramifications of the COVID-19 pandemic, and modeling production functions in agricultural contexts. Dr. Yousuf’s expertise extends to outlier detection, estimation of productivity, and exploring novel regression estimators. Through his diverse research endeavors, he contributes significantly to advancing statistical methodologies and their practical implications across various domains.

 

Publication Top Notes 

  1. Assess the level of stress and coping level among married working women in Kashmir 📄 Cited by: 6 Year: 2022
  2. Unexpected Ramifications of Corona Pandemic Economic and Statistical Issues📄 Cited by: 6 Year: 2020
  3. Robust Model for the Quadratic Production Function in Presence of High Leverage Points📄 Cited by: 4 Year: 2021
  4. Modified Ratio-cum-Exponential Estimator for Appraising the Population Mean using Conventional and non-Conventional Parameters📄 Cited by: 3 Year: 2022
  5. ROBUST MODELS AND THEIR VALIDATION FOR MAIZE PRODUCTION IN JAMMU REGION OF JAMMU AND KASHMIR UNION TERRITORY 📄 Cited by: 1 Year: 2021
  6. Applications of Mitscherlich Baule function: a robust regression approach 📄 Year: 2024
  7. Detection of High Leverage Points in Regression Model in Apple Data 📄 Year: 2022
  8. Outlier Detection and Identification in Square root Production Function using Robust Regression 📄 Year: 2022
  9. Estimation and Validation of Robust Model for Productivity of Apple in UT of J&K using Cobb Douglas Method 📄 Year: 2021
  10. A New form of Ratio Estimator under Rank set Sampling📄 Year: 2021

 

Alberto Brini | Statistics | Best Researcher Award

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Dr. Alberto Brini | Statistics | Best Researcher Award

Dr. AlbertoBrini, Eindhoven University of Technology, Netherlands

Dr. Alberto Brini is a skilled biostatistician with a diverse research background in health outcomes and data analysis. With a PhD in Statistics/Data Science, he has collaborated internationally, including roles at McMaster University and Radboud University. 📊 His expertise spans patient-reported outcomes, omics data analysis, and statistical modeling for healthcare applications. Dr. Brini has taught and supervised numerous projects, demonstrating his commitment to education and mentorship. His contributions to statistical methods in (onco-)hematology and food safety research showcase his dedication to improving public health. 🩺🔬

Publication profile:

Scopus

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Education:

Dr. Alberto Brini’s academic journey showcases a dedication to statistical excellence and interdisciplinary learning. 📚 He earned his PhD in Statistics/Data Science from Technische Universiteit Eindhoven, specializing in high-dimensional data analysis. Under the guidance of Prof. Edwin R. van den Heuvel and Dr. Jasper Engel, his thesis focused on innovative statistical methodologies. Prior to this, he obtained an MSc in Industrial and Applied Mathematics, delving into stochastic processes and longitudinal data analysis. His educational background also includes a joint MSc in Mathematical Modelling for Engineering from Politecnico di Torino, emphasizing networks and optimization. Dr. Brini’s stellar academic record culminated from his early education at Liceo Scientifico Statale Gregorio Ricci Curbastro in Lugo, Italy. 🌟

 

Experience:

Dr. Alberto Brini is an accomplished biostatistician with a rich portfolio spanning various international research projects. 🌍 Currently, he serves as a Biostatistician at Fondazione GIMEMA Franco Mandelli Onlus in Rome, Italy, leading statistical design and analysis in (onco-)hematology. As a Volunteer Researcher at McMaster University, Canada, he contributes to the analysis of the Canadian Longitudinal Study of Ageing (CLSA) within a global consortium. Previously, he provided statistical consultancy at Maxima Medisch Centrum, Netherlands, and conducted research at Radboud University and Wageningen Food Safety Research center. Dr. Brini’s expertise extends from industrial consortia to healthcare and food safety domains, reflecting his versatile skill set. 📊🔬

Honors and Awards:

Dr. Alberto Brini’s exceptional achievements extend beyond academia, reflecting his excellence in athletics and extracurricular endeavors. 🏅 He received grants and honors for academic excellence from institutions like Politecnico di Torino and Fondazione Alemanno Fantini e Margherita Orselli. Notably, he secured “ALSP Scholarships” at Eindhoven University of Technology. His prowess in athletics earned him numerous accolades, including multiple 1st place finishes in the Club National Championships for Combined Events. Dr. Brini’s diverse accomplishments also include participation in prestigious events such as the Enterprise European Business Games and the Jean Humbert Memorial World Cup for Schools. 🌟

 

Research Focus:

Dr. Alberto Brini’s research focus spans diverse areas, with a primary emphasis on statistical analysis of high-dimensional data in biomedical and healthcare contexts. 📊 His work includes studies on patient-reported outcomes in cardiac telerehabilitation programs, determinants of information needs in coronary artery disease patients, and financial toxicity in patients with hematologic malignancies. He also contributes to optimizing medical procedures, such as the surgical shortening of lengthened iliac arteries in endurance athletes. Dr. Brini’s expertise extends to missing data imputation, lifestyle behaviors, and multimorbidity patterns, reflecting his commitment to enhancing healthcare outcomes through advanced statistical methodologies. 🩺

 

Publication Top Notes:

  1. Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis by HMCK R W M Brouwers, A Brini, R W F H Kuijpers, J J Kraal 📊 Cited by: 14* (2021)
  2. Short-and long-term results of operative iliac artery release in endurance athletesby M van Hooff, MMJM Hegge, MHM Bender, MJA Loos, A Brini, … 🏃‍♂️ Cited by: 4 (2022)
  3. Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage by ERHJE A Brini, V Avagyan, RCH de Vos, JH Vossen 💡 Cited by: 3 (2021)
  4. The t linear mixed model: model formulation, identifiability and estimation by M Regis, A Brini, N Nooraee, R Haakma, ER van den Heuvel 🔍 Cited by: 3 (2019)
  5. Short-and long-term outcomes after endarterectomy with autologous patching in endurance athletes with iliac artery endofibrosis. by M van Hooff, FFC Colenbrander, MHM Bender, MMJA Loos, A Brini, … 🏃‍♀️ Cited by: 2 (2023)
  6. Determinants of information needs in patients with coronary artery disease receiving cardiac rehabilitation: a prospective observational study
  7. Surgical shortening of lengthened iliac arteries in endurance athletes: Short-term and long-term satisfaction
  8. Financial Toxicity and Health-Related Quality of Life Profile of Patients With Hematologic Malignancies Treated in a Universal Health Care System
  9. USING NETWORK ANALYSIS METHODS TO STUDY MULTIMORBIDITY PATTERNS
  10. Association of Financial Toxicity and Health-Related Quality of Life in Long-Term Survivors of Acute Promyelocytic Leukemia Treated within a Universal Healthcare System