Muhammad Shakir Khan | Statistics Award | Best Researcher Award

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Dr. Muhammad Shakir Khan | Statistics Award | Best Researcher Award

Dr. Muhammad Shakir Khan, Islamia College Peshawar, Pakistan

Dr. Muhammad Shakir Khan is a seasoned Statistician, Researcher, and Data Analyst with over 15 years of professional experience. He holds a PhD in Statistics from Islamia College Peshawar and specializes in regression analysis, statistical modeling, and machine learning. As the Deputy Director (Statistics & Economics) at the Livestock & Dairy Development Department, Khyber Pakhtunkhwa, he oversees data management, research guidance, and project planning. Dr. Khan has published extensively in reputed journals and led numerous research projects in livestock and genetics. Proficient in R, Python, SPSS, and other analytical tools, he is passionate about advancing his skills and knowledge.

Publication Profile

Orcid

Professional Experience 🏢

Muhammad Shakir Khan, a seasoned Statistician, Researcher, and Data Analyst, boasts 15 years of experience in statistical analysis and research. He currently serves as Deputy Director (Statistics & Economics) at the Livestock & Dairy Development Department, Khyber Pakhtunkhwa, Pakistan, where he oversees the statistics section, guides researchers, and manages data for policy formulation. His previous roles include Statistical Officer and Statistical Assistant, focusing on data analysis, research, and project management.

Academic Qualifications 🎓

Ph.D. in Statistics (2018-2024): Islamia College Peshawar

M.Phil in Applied Statistics (2015-2017): Islamia College Peshawar

M.Sc. in Statistics (2007-2008): University of Peshawar

B.Sc. (2004-2006): University of the Punjab

Research Focus

Muhammad Shakir Khan’s research focuses on statistical modeling and data analysis, particularly in linear regression and its applications. He specializes in handling multicollinearity through ridge estimators and penalized regression techniques. His work includes applying these methods to medical, financial, and demographic data. He has contributed significantly to understanding statistical methodologies through simulations and practical applications. His expertise extends to machine learning, bootstrap methods, and advanced data analytics. His publications span various topics, including comparative performance analysis in zoology and food safety, showcasing his versatile application of statistical tools.

Publication Top Notes

  1. “On the estimation of ridge penalty in linear regression: Simulation and application” (2024, Kuwait Journal of Science, DOI: 10.1016/j.kjs.2024.100273) 📊🔬
  2. “On some two parameter estimators for the linear regression models with correlated predictors: Simulation and application” (2024, Communications in Statistics – Simulation and Computation, DOI: 10.1080/03610918.2024.2369809) 📈📚
  3. “On the performance of two-parameter ridge estimators for handling multicollinearity problem in linear regression: Simulation and application” (2023, AIP Advances, DOI: 10.1063/5.0175494) 📉🧮
  4. “Comparative Performance of Jersey Sired Calves from Achai Dams and Azakheli Buffalo Calves Fed with Milk Replacer” (2018, Pakistan Journal of Zoology, DOI: 10.17582/journal.pjz/2018.50.5.sc7) 🐄🍼
  5. “Determination of Aflatoxin M1 in Raw Milk for Human Consumption in Peshawar, Pakistan” (2015, Pakistan Journal of Zoology, WOS:000357140700037) 🥛⚠️

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

Orcid

Google Scholar

 

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