Mohammad Arashi | Statistics | Best Researcher Award

Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.

Marian Mitroiu| Biostatistics | Best Researcher Award

 Dr. Marian Mitroiu| Biostatistics | Best Researcher Award

 Dr. Marian Mitroiu,Biogen,Switzerland

Dr. Marian Mitroiu is an esteemed professional in the field of biotechnology, currently affiliated with Biogen in Switzerland. With a robust background in (mention specific areas if known, e.g., neurology, immunology), Dr. Mitroiu brings extensive expertise to his role, contributing significantly to advancements in (mention specific areas of research or focus, e.g., neuroscience, rare diseases). His work is characterized by a commitment to innovation and a passion for improving healthcare outcomes through pioneering research and development efforts.

Author Profile

Scopus

Education

PhD, Biostatistics,Utrecht University, 2017 – 2022,Master of Science (MS), Epidemiology – Medical Statistics track,Utrecht University, 2017 – 2021,MSc, Biostatistics,Universitatea din București, 2014 – 2016,Master of Science (MSc), Pharmacovigilance (Drug Safety Monitoring),University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca, 2013 – 2014,Resident Pharmacist, Clinical, Hospital, and Managed Care Pharmacy,University of Medicine and Pharmacy “Carol Davila”, Bucharest, 2013 – 2015

Experience:

cBiogen,Associate Director Biostatistics, Baar, Zug, Switzerland,December 2022 – Present (1 year 7 months),Senior Principal Biostatistician, Baar, Zug, Switzerland,August 2021 – November 2022 (1 year 4 months),College ter Beoordeling van Geneesmiddelen,Methodology Assessor, Utrecht, Netherlands,March 2018 – June 2021 (3 years 4 months),UMC Utrecht,PhD Candidate, Utrecht Area, Netherlands,January 2017 – June 2021 (4 years 6 months),European Medicines Agency,Trainee Biostatistics and Methodology, London, United Kingdom,November 2015 – October 2016 (1 year)

Skills:

  • Biostatistics
  • Clinical Trial Methodology
  • Estimands
  • ICH E9(R1) Guidelines
  • Epidemiology
  • Pharmacovigilance

Research Focus:

Marian Mitroiu’s research likely focuses on:,Advanced biostatistical methodologies in clinical trials,Epidemiological studies related to medical statistics,Pharmacovigilance and drug safety monitoring

Publications:

  • Simoneau, G., Mitroiu, M., Debray, T.P., Pellegrini, F., Moor, C.
    • Title: Visualizing the target estimand in comparative effectiveness studies with multiple treatments
    • Journal: Journal of Comparative Effectiveness Research, 2024, 13(2), pp. e230089
  • Leng, X., Leszczyński, P., Jeka, S., Addison, J., Zeng, X.
    • Title: Comparing tocilizumab biosimilar BAT1806/BIIB800 with reference tocilizumab in patients with moderate-to-severe rheumatoid arthritis with an inadequate response to methotrexate: a phase 3, randomised, multicentre, double-blind, active-controlled clinical trial
    • Journal: The Lancet Rheumatology, 2024, 6(1), pp. e40–e50
  • Kersten, R.F.M.R., Öner, F.C., Arts, M.P., de Gast, A., van Gaalen, S.M.
    • Title: The SNAP Trial: 2-Year Results of a Double-Blind Multicenter Randomized Controlled Trial of a Silicon Nitride Versus a PEEK Cage in Patients After Lumbar Fusion Surgery
    • Journal: Global Spine Journal, 2022, 12(8), pp. 1687–1695
  • Mitroiu, M., Teerenstra, S., Oude Rengerink, K., Pétavy, F., Roes, K.C.B.
    • Title: Estimation of treatment effects in short-term depression studies. An evaluation based on the ICH E9(R1) estimands framework
    • Journal: Pharmaceutical Statistics, 2022
  • Oude Rengerink, K., Mitroiu, M., Teerenstra, S., Pétavy, F., Roes, K.C.B.
    • Title: Rethinking the intention-to-treat principle: one size does not fit all
    • Journal: Journal of Clinical Epidemiology, 2020, 125, pp. 198–200
  • Mitroiu, M., Oude Rengerink, K., Teerenstra, S., Pétavy, F., Roes, K.C.B.
    • Title: A narrative review of estimands in drug development and regulatory evaluation: Old wine in new barrels?
    • Journal: Trials, 2020, 21(1), 671
  • Mitroiu, M., Rengerink, K.O., Pontes, C., Van Der Lee, J.H., Roes, K.C.B.
    • Title: Applicability and added value of novel methods to improve drug development in rare diseases
    • Journal: Orphanet Journal of Rare Diseases, 2018, 13(1), 200
  • Brakenhoff, T.B., Mitroiu, M., Keogh, R.H., Groenwold, R.H.H., van Smeden, M.
    • Title: Measurement error is often neglected in medical literature: a systematic review
    • Journal: Journal of Clinical Epidemiology, 2018, 98, pp. 89–97