Muhammad Azeem | Statistics | Best Researcher Award

Dr .Muhammad Azeem | Statistics | Best Researcher Award

πŸ‘¨β€πŸ«Profile Summary

Dr. Muhammad Azeem is a seasoned statistician with a Ph.D. in Statistics, specializing in Survey Sampling from the National College of Business Administration & Economics, Lahore, where they maintained an impressive GPA of 3.67/4.00. Their doctoral research, titled “On Estimation of Population Mean in the Presence of Measurement Error and Non-Response,” demonstrates expertise in addressing statistical complexities. With extensive academic contributions, they have been serving as an Assistant Professor at the University of Malakand since January 2020. Dr. [Name]’s research interests encompass a broad spectrum, including Survey Sampling, Systematic Sampling, Randomized Response, Ratio Estimation, Applied Statistics, and Mathematical Statistics🌍🌲

🌐 Professional Profiles

 

Β πŸ“š Education

PhD (Statistics), 2010-2014 National College of Business Administration & Economics, Lahore GPA: 3.67/4.00 Specialization: Survey Sampling Title of Thesis: “On Estimation of Population Mean in the Presence of Measurement Error and Non-Response”. M.Phil. (Applied Statistics), 2008-2010 National College of Business Administration & Economics, Lahore GPA: 3.25/4.00 Title of Thesis: “Some Aspects of Randomized Response Models”. M.Sc. (Statistics), 2004-2007 University of Peshawar, Peshawar, Pakistan Marks: 849/1200, 1st Division. B.Sc., 2002-2004 University of Peshawar, Peshawar, Pakistan Marks: 373/550, 1st Division HSSC, 2000-2002 BISE Peshawar, Pakistan Marks: 693/1100, 1st Division. SSC (Science Group), 1998-2000 BISE Peshawar, Pakistan Marks: 554/850, 1st Division

Β πŸ’Ό Work Experience

Assistant Professor (TTS), Jan 2020-Present Department of Statistics, University of Malakand, Chakdara, Dir (L), KP, Pakistan. Assistant Professor (Contract), Jun 2015-Dec 2019 Department of Statistics, Islamia College Peshawar, KP, Pakistan. Assistant Professor (HEC-IPFP), Jun 2014-Jun 2015 Department of Statistics, Islamia College Peshawar, KP, Pakistan.

Β πŸ“ŠπŸ“ˆ Research Interests

  • Survey Sampling
  • Systematic Sampling
  • Randomized Response
  • Ratio Estimation
  • Applied Statistics
  • Mathematical Statistics

Yi-Ju Lee | Statistics | Young Scientist Award

Β Dr. Yi-Ju Lee |Statistics | Young Scientist Award

 

🌟 Profile Summary

🌟 As a dedicated researcher and Postdoctoral Research Associate at Academia Sinica, I am passionate about advancing healthcare through AI and precision medicine. πŸ€–πŸ’‘ Armed with a Ph.D. in Interdisciplinary Neurosciences, I specialize in brain imaging analysis and nonlinear analysis in complex systems. My research spans multiple prestigious programs and projects, such as the APEC SLP Young Researchers Fellowship and the Smart Healthcare Project at Academia Sinica.

πŸš€ In addition to my research endeavors, I actively contribute to the academic community as an Advisory Member, President of Language Exchange Club, and various committee roles in organizations like the Organization for Human Brain Mapping (OHBM). 🌐 My commitment to advancing science is underscored by numerous awards, including the National Health Research Institute’s Proposal Excellence Award and recognition from the Academia Sinica. πŸ†βœ¨

 

🌐 Professional Profiles

πŸŽ“ Education & Research Experience

Academia Sinica

Research Associate (Postdoc), Academia Sinica (07/2020 – Present) Executive Program of AI in Health Care, Sloan School of Management, MIT, USA (07/2023) APEC SLP Young Researchers Fellowship (08/2022) Diploma, OXCEP, University of Oxford, UK (07/2022)

National Health Research Institutes of Taiwan

Precision Medicine Seed Talent Training Program Introduction to the Principles and Practice of Clinical Research Course, NIH, USA (03/2021–03/2022)

Taiwan AI Academy

Smart Medicine Program (Certified No. AH091108) Project Manager (PI: Dr. Chun-houh Chen) (01/2021 – Present) Smart Healthcare Project, Academia Sinica Smart Medicine Project, Academia Sinica Principal Investigator Associate (01/2024– Present) National Science and Technology Council (NCST) and National Cheng Kung University Project Manager (PI: Dr. Su-Yun Huang) (01/2021 – Present) Facilitating AI Medical Models with Statistical Methods: A Study of Genomics and Medical Images Project Manager (PI: Dr. Chun-houh Chen) (05/2022 – 12/2022) Machine Learning Approaches for the Prediction of Colorectal Cancer Project Manager (PI: Dr. Chun-houh Chen) (10/2020 – 10/2021) Medical Imaging Big Data Establishment and Application Research Project

Research Assistant

MOST107-2118-M-001-012-MY3 (PI: Dr. Su-Yun Huang) (07/2020 – 07/2021) Model Selection Problems in Principal Component Analysis and Scalable Geometric Algorithms with Extensions Adjunct Assistant Professor, Department of Finance, Shih Hsin University (09/2022 – 06/2023) Classes: β€œAI applications in Finance (2 credits)”, β€œStatistics for Everyone (2 credits)”

Service

Advisory Member, Youth Advisory Committee of Hsinchu County, Taiwan (2023-2024) County Youth Representative, overseeing government, providing advice, and policy consultations. Proposed cases include: (1) Establishing standards for the Youth Advisory Committee, (2) Confirming county government website content, (3) Planning facilities for the AI Smart Park, (4) Promoting proposals related to data integration in “Hsinchu County Spatial Information Intelligence Cloud,” (5) Promoting proposals related to sound photography technology enforcement. Member, Education Committee, Organization for Human Brain Mapping (OHBM) (2023-2026) Member, Program Committee, OHBM (2023-2026) Treasurer, Open Science SIG, OHBM (2023-2024) Exhibition Manager-Elect & Liaisons, SEA-SIG committee, BrainArtSIG OHBM (2023-2024) Treasurer Elect, OHBM Open Science SIG (2022-2023) Conference Abstract Reviewer, OHBM (2021-Present) Consulting Service, Data Science Statistical Cooperation Center, Academia Sinica (02/2021-Present) Webmasters, Deep Learning Group and Smart Health Project, ISS, Academia Sinica (10/2021-Present) GPU F&A, Smart Health Project, Academia Sinica (11/2021-Present) Host, Postdoc Seminar, Institute of Statistical Science, Academia Sinica (02/2021 – 07/2021, 08/2023-01/2024) Member, Local Organization Committee, Statistical Computing And Robust Inference For High Dimensional Data (08/2023 – 12/2023)

Doctor of Philosophy (GPA 4.06):

Interdisciplinary Neurosciences, Taiwan International Graduate Program (TIGP-INS) Applied Artificial Intelligence in Bio-Medicine Program, NYMU Research Interests: Brain Imaging Analysis, Nonlinear Analysis in Complex System, Psychiatry Disorder Project Manager / Research Assistant: MOST 107-2634-F-075-002 (2018 – 06/2021) Machine Learning Approach to Phenotyping Psychiatric Disorders Using Large-Scale Neuroimaging and GeneChip Data Project Manager (Education Division)/ Research Assistant: MOST 108-2634-F-002-028 (2018-06/2021) Artificial Intelligence for Medical Image Analysis and Clinical Workflows Project Manager: Medical Imaging Big Data Establishment and Application Research Project (04/2021 – 06/2021) Development of a Brain Imaging Diagnosis Platform for Assisting in the Discrimination of Brain Tumor-Related Diseases

Service

President of Language Exchange Club and Dormitory Representative, TIGP-SA, Academia Sinica (2018), TIGP-INS Program Representative, Graduate Student Association, Academia Sinica (2017)

Master Degree (GPA 4.25):

Institute of Learning Sciences, Commission of General Education, National Tsing Hua University Student Engagement, Systems Biology, Psychological Mechanisms under Cultural Contexts

Bachelor Degree (GPA 3.73):

Department of Psychology, College of Medical Science and Technology, Chung Shan Medical Univ. Clinical Psychology: Biofeedback, Animal Model of Parkinson’s Disease, Social Psychology Clinical Psychologist Intern at Dept. Psychiatry, MacKay Memorial Hospital (12/2010) Art Therapy Training at Tunghai University, Taichung, Taiwan (2009)

Outstanding Scientific Education Program in Life Science by MOST (09/2005 – 06/2007):

Institute of Molecular Biology, National Tsing Hua University: Animal Model of Alzheimer’s Disease

πŸ† Awards

2023, National Health Research Institute Emerging Biomedical Technology and Medical Crossdisciplinary Talent Training Program – Smart Healthcare Group Proposal Excellence Award 2023, Finalist of the 2023 Taipei City Technology Inclusion Civic Innovation Applied Competition – Data Innovation Category. 2023, Elected to Academia Sinica 2023 Year Cultivation of Science and Technology Elites Program 2023, 1st place of Poster Award, ISI-ISM-ISSAS Joint Conference, Institute of Statistical Science, Academia Sinica 2023, Selected as a Postdoctoral Research Scholar at the Academia Sinica at the general level across the entire institution 2023, Selected as Participant of Global Young Scientists Summit (GYSS) *2022, Honorable Mention Award, The ISS 40th Anniversary Conference with a theme In Memory of Academician Yuan-Shin