Farah Yasmeen

Passionate about joining an institution that prioritizes diversity and is dedicated to fostering a fair and inclusive work environment for both staff and students. Committed to acquiring professional development opportunities and engaging in meaningful experiences that align with the organization's short and long-term goals. Eager to contribute skills and expertise towards advancing the organization's mission.

• Hira Fatima, Projecting Fertility Rates of Pakistan, PhD, 2022
• Sidra Zaheer, Projecting Breast Cancer Incidence Rates using Functional Data Analysis, PhD, 2022
• Iqra Khalid, Machine Learning Approach to Global and Hemispheres Mean Temperature Anomalies Prediction with Artificial Neural Networks (ANNs), MPhil, 2022
• Saba Mughal, A comparison between FTS models with APC models, MPhil, 2020
• Muhammad Sharif, Modeling and Forecasting Electricity Consumption in Pakistan, MPhil, 2019
• Shaheen Hameed, Forecasting Rainfall in Pakistan, MPhil, 2019

• MS-701, Research Methodology (MS/PhD Program)
• MS-722, Time Series Analysis and Forecasting (MS Program)
• MS-728, Knowledge Discovery and Data Mining (MS/PhD Program)
• ASTAT-621, Design of Experiments in Industrial Research-I (Applied Statistics)
• ASTAT-622, Design of Experiments in Industrial Research-II (Applied Statistics)
• ACT-631, Time Series Analysis -I
• ACT-632, Time Series Analysis-II
• STAT-631, Population Analysis-I
• STAT-632, Population Analysis-II
• STAT-541, Linear Algebra
• STAT-542, Design of Experiments
• STAT-551, Non-Parametric Statistics
• STAT-561, Numerical Analysis
• ACT-541, Linear Algebra (Actuarial Science)
• ACT-542, Applied Regression Analysis
• ACT-417, Actuarial Demography -I
• ACT-418, Actuarial Demography -II
• STAT-401(S), Continuous Probability Distributions
• STAT-402(S), Elementary Statistical Methods
• STAT-405(H), Statistical Methods-I
• STAT-406(H), Statistical Methods-II
• STAT-415, Biostatistical Methods-I
• STAT-416, Biostatistical Methods-II
• STAT-301(S), Elements of Statistics-I
• STAT-302(S), Elements of Statistics-II

• Total fertility rates forecasting using Coherent functional time series models, 20th International Conference on Statistical Science ISOSS, 2023-03-09
• Patterns in breast cancer incidence trends, an age-period-cohort analysis, 20th International Conference on Statistical Science ISOSS, 2023-03-09
• Lung cancer incidence forecasting with functional time series and age-period cohort models, 20th International Conference on Statistical Science ISOSS, 2023-03-09
• Exploring the trends in age-specific breast cancer incidence rates for women in Karachi, Pakistan through the Join-point Regression Analysis JRA, 19th International Conference on Statistical Science ISOSS, Faisalabad, Pakistan
• Fertility Modeling Through the Hadwiger Function, 19th International Conference on Statistical Sciences ISOSS, Faisalabad, Pakistan
• Fertility Forecasting in Urban And Rural Areas of Pakistan: An Application of Product-Ratio Functional Model, 14th ISOSS Conference ICCS-12, Karachi
• A Comparison between the components of FTS models applied on Breast Cancer Incidence Rates, 14th ISOSS Conference ICCS-12, Karachi
• Modeling and Forecasting Fertility Rates of Pakistan, 14th ISOSS Conference ICCS-12, Karachi
• Predicting Total Fertility Rates TFR of Pakistan using ARIMA Models, 14th ISOSS Conference ICCS-12, Karachi
• Patterns Of Age-Specific Fertility Rates of Pakistan Region-Wise, 12th ISOSS Conference ICCS-12, Karachi
• Breast Cancer Incidence Rates in Karachi, 10th International Conference on Statistical Sciences ICCS, Lahore, Pakistan, 24, 71-78, 2013-03-07
• Forecasting age-specific fertility rates of Pakistan using functional time series models, 12th ISOSS Conference ICCS-12, Doha, Qatar, 2012-12-01
• A comparison between Taguchi Robust Design and Classical Design of Experiments, Eighth Statistics Seminar, Karachi, 49-58, 2001-01-01
• Mixed Level Fractional Factorials, Eighth Statistics Seminar, Karachi, 131-138, 2001-01-01
• Identification of Active Factors in Fractional Factorial Designs of Two Levels, Seventh Statistics Seminar, Karachi, 67-76, 1999-01-01

• Modeling Age-specific Fertility Rates of Pakistan with Hadwiger Function Model, JP Journal of Biostatistics, 0973-5143, 22, 1-9, 2022-01-01
• Machine Learning Approach to Global and Hemispheres Mean Temperature Anomalies Predictions using Artificial Neural Networks (ANNs), International Journal of Computer Applications IJCA, 0975-8887, 184, 40, 20-26, 2022-12-01
• Forecasting Total Fertility Rates (TFR) for Urban and Rural Areas in Pakistan with Coherent Functional Model (CFM), Journal of Pakistan Medical Association JPMA, 2022-01-01
• Analyzing Trend in age-specific breast cancer incidence rates for women in Karachi, Pakistan through the Join-point Regression (JR), Pak J Med Sci PJMS, Submitted
• The Top-Ten Machine Learning Algorithms and their Applications, Karachi University Journal of Science, Submitted
• Measuring Global Warming: Global and Hemisphere Mean Temperature Anomalies Predictions using Sliced Functional Time Series (SFTS) Model, Open Journal of Applied Sciences, 2165-3917, 2165-3925, 9, 316-334, 2019-01-01
• Forecasting of Rainfall in Pakistan via Sliced Functional Times Series (SFTS), World Environment, 2163-1573, 2163-1581, 8, 1, 1-14, 2018-01-01
• Predicting Breast Cancer Incidence Rates Among White and Black Women in the United States: An Application of FTS Model, International Journal of Statistical Distributions and Applications, 2472-3487, 2472-3509, 3, 4, 103-112, 2017-01-01
• Modeling Breast Cancer Incidence Rates: A Comparison between the Components of Functional Time Series (FTS) model applied on Karachi (Pakistan) and US data, Open Journal of Applied Sciences, 2165-3917, 2165-3925, 26, 525-533, 2016-01-01
• Coherent Forecasting of Fertility in Urban and Rural Areas of Pakistan, Mathematics and Statistics: Open Access, 2472-7415, 1, 1, 1-9, 2016-01-01
• Functional Time Series (FTS) Forecasting of Electricity Consumption in Pakistan, International Journal of Computer Applications IJCA, 0975-8887, 124, 7, 15-19, 2015-01-01
• Functional Time Series Models to Estimate Future Age-Specific Breast Cancer Incidence Rates for Women in Karachi, Pakistan, Journal of Health Science, 2328-7136, 5, 2, 213-221, 2014-01-01
• Functional Time Series Models and the APC models: A Comparative Study on the Lung Cancer Incidence Rates in Denmark, Journal of US-China Medical Science, 1548-6648, 1930-2088, 11, 3, 121-128, 2014-01-01
• Forecasting Electricity Consumption for Pakistan, International Journal of Emerging Technology and Advanced Engineering IJETAE, 2250-2459, 4, 4, 496-503, 2014-01-01
• A Cake Baking Experiment using Fractional Factorial Split Plot (FFSP) Design, International Journal of Recent Development in Engineering and Technology IJRDET, 2347-6435, 2, 2, 7-12, 2014-01-01
• Coherent Mortality Forecasting: The Product-Ratio Method with Functional Time Series Model, Demography, 0070-3370, 1533-7790, 50, 1, 261-283, 2013-01-01
• A two phase algorithm for fuzzy time series forecasting using genetic algorithm and particle swarm optimization techniques, International Journal of Computer Applications IJCA, 0975-8887, 55, 16, 34-40, 2012-01-01
• Forecasting Age-related changes in Breast Cancer Mortality among White and Black US Women: A functional data approach, Cancer Epidemiology, 1877-7821, 34, 542-549, 2010-01-01
• Nonparametric Regression Analysis, Journal of Basic and Applied Sciences JBAS, 1, 1, 39-44, 2005-01-01
• Learning Statistical Concepts, International Journal of Mathematical Education in Science and Technology, 0020-739X, 1464-5211, 35, 1, 65-72, 2004-01-01

• Rob J Hyndman, Professor and Head, Department of Econometrics and Business Statistics, Monash University, Australia, rob.hyndman@monash.edu.au
• Hanlin Shang, Professor, Department of Actuarial Studies and Business Analytics, Macquarie University, Australia, hanlin.shang@mq.edu.au
• Javed Iqbal, Professor, Institute of Business Administration, Karachi, Karachi, Pakistan, j.iqbal@iba.edu.pk