• Along with my other research internists, my main focus is conducting research where I am using simulation techniques (See my publications no. 25, 23, 19, 14, 13 and 11. Also, publication in review no. 16, 15, 9, 8 and 7). I am working on new computation techniques, methods and algorithms (see my publications). Genetic algorithm, neural network and grid computing is my main area of research.

• Programming: optimization and optimal grid computing.

• Portfolio Optimization, Credit Risk Modelling

• Stochastic programming: generation of scenarios and solution of stochastic programs. Calibrating new stochastic models for complex networking systems.

• Finance: optimal investments, risk management.

• Energy: harvesting natural energies, like wind, waves, water flow, sun shine.

 Publications

Publications

Year 2023

54.M. H. Bukhari and Muhammad Yousaf Shad (2023) A Bayesian spatiotemporal approach to modelling arboviral diseases in Mexico. Transactions of The Royal Society of Tropical Medicine and Hygiene (IF 3.49)

Year 2022

53. Muhammad Azeem and Muhammad Yousaf Shad (2022) On E-Bayesian analysis of the hierarchical Normal and Inverse Gamma model using different loss functions and its application. JOURNAL OF STATISTICAL COMPUTATION AND

SIMULATION (IF 1.49)

52. Azhar Mehmood Abbasi and Muhammad Yousaf Shad(2022). On partial randomized response model using ranked set sampling. Plos One (IF 3.69).

51. Muhammad Azeem and Muhammad Yousaf Shad(2022).E-Bayesian estimation of Maxwell distribution and its evaluation standards: E-Posterior Risks and EMSEs (expected mean square errors). JOURNAL OF STATISTICAL COMPUTATION

AND SIMULATION (IF 3.69).

51. Muhammad Azeem and Muhammad Yousaf Shad(2022).E-Bayesian estimation of Maxwell distribution and its evaluation standards: E-Posterior Risks and EMSEs (expected mean square errors). JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (IF 1.49).

50. Muhammad Azeem and Muhammad Yousaf Shad(2022).Empirical E-Bayesian Estimation of Hierarchical Poisson and Gamma Model using Scaled Squared Error Loss Function. Symmetry (IF 2.92).

49. Saima Khan and Muhammad Yousaf Shad(2022).The benefits of co-evolutionary Genetic Algorithms in voyage optimisation. Ocean Engineering (IF 3.69).

48. Fakhra Batool and Muhammad Yousaf Shad(2022).A new fitness-based selection operator for genetic algorithms to maintain the equilibrium of selection pressure and population diversity. (IF 0.69).

47. Fida Hussain, Aqib Hassan Ali Khan, Imran Hussain, Asifa Farooqi, Yousaf Shad Muhammad, Mazhar Iqbal, Muhammad Arslan and Sohail Yousaf(2022). Soil conditioners improve rhizodegradation of aged petroleum hydrocarbons and enhance the growth of Lolium multiflorum. Envornmental Science and Research (IF 4.99).

Year 2021

46. Azhar Mehmood Abbasi and Muhammad Yousaf Shad(2021). Sensitive proportion in ranked set sampling. Plos One (IF 3.69).

45. Uzma Yousaf, Aqib Hassan Ali Khan , Asifa Farooqi , Yousaf Shad Muhammad, Rocío Barros, Juan Antonio Tamayo-Ramos, Mazhar Iqbal, Sohail Yousaf(2021). Interactive effect of biochar and compost with Poaceae and Fabaceae plants on remediation of total petroleum hydrocarbons in crude oil contaminated soil. Chemosphere( IF 7.09).

44. Fakhra Batool and Muhammad Yousaf Shad(2021).Seeking a balance between population diversity and premature convergence for real-coded genetic algorithms with crossover operator. Evolutionary Intelligence(IF 2.34).

43. Azhar Mehmood Abbasi and Muhammad Yousaf Shad(2021).Estimation of population proportion using concomitant based ranked set sampling. Communication in Statistics: Theory and Methods (IF 0.884).

42. J. Lubina, Ubydul Haq, Muhammad Yousaf Shad(2021). Climate Change and dynamics in age-related Malaria incidence in South Africa: A focous on Zambia . Envornmental Research (IF 5.715).

41.Mst. Marium Begum , Osman Ulvi, Muhammad Yousaf Shad and Ubydul Haque (2021). Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh. Epidemiologiea (IF 1.701).

40. Sajid Hussain, Muhammad Daniyal, Roseline Oluwaseun Ogundokun, Muhammad Yousaf Shad, Zafar Iqbal, Rashid Ahmed(2021). Cloning data with unchanged estimates of estimable non-linear functions of parameters, F1000 Research (IF 2.30).

Year 2020

39. Muhammad Yousaf Shad and Azeem Iqbal (Accepted). E-Bayesian estimation of Maxwell Distribution and its evaluation standards: E-Posterior Risks and E-MSEs (Expected mean square errors). Journal of Statistical Computation and Simulation (IF 0.92).

38. Muhammad Yousaf Shad and Ubydul Haque (2020). The Impact of COVID-19 on Globalization. One Health (IF 4.694).

37. Fakhara Batool, Muhammad Yousaf Shad and Saima Khan (2020). A

new Logistic distribution based crossover operator for real-coded genetic algorithm, Journal of Statistical Computation and Simulation (IF 0.920).

36. Selam Mihreteab, Jailos Lubinda, Bingxin Zhao, Alfonso J. Rodriguez-

Morales,Ajlina Karamehic Muratovic, Aman Goitom, Muhammad Yousaf Shad and Ubydul Haque (2020). Retrospective data analyses of social and environmental determinants of malaria control for elimination prospects in Eritrea, Parasites and vector, 2020. DOI.10.1186/s13071-020-3974-x. (IF 3.876).

Year 2019

35. Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal. Shehzad, Y.S. MuhammadC, An Ensemble Procedure for Pattern Recognition of Regional Drought, Int. Journal of Climatology(2019), (IF 3.78). doi:http://dx.doi.org//10.1002/joc.6196

34. Abid Hussain, Yousaf shad Muhammad(2019), Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator,Complex and Intelligent Systems. pp 1 to 14 (IF 3.791).

33. Yousaf shad MuhammadS, Minimum Cost Multiobjective Programming Model for Target Efficiency in Sample Selection, Scientific Programming, 2019. (IF 1.678)

32. Abid Hussain, Yousaf shad MuhammadS, Nauman Sajid (2019), An Efficient Genetic Algorithm for Numerical Function Optimization with Two New Crossover Operators I.J. Mathematical Sciences and Computing-V4-N4-4. 

Year 2018

31) Abid Hussain, Yousaf shad MuhammadNouman and Nauman Sajid (2018), A simulated study of genetic algorithm with a new crossover operator using traveling salesman problem. Punjab University Journal of Mathematics.

30) Abid Hussain, Yousaf shad MuhammadNouman and Nauman Sajid (2018), An Improved Genetic Algorithm Crossover Operator for Traveling Salesman Problem. Turk. J. Math. Comput. Sci.

29) Abid Hussain, Yousaf shad MuhammadNouman and Nauman Sajid (2018), Anefficient genetic algorithm for numerical function optimization with two cross-overoperaters. International journal of mathematical sciences and computing.

28) Fida Hussaina, Imran Hussainb, Aqib Hassan Ali Khana, Yousaf Shad Muhammad, Mazhar Iqbala, Gerhard Sojab, Thomas Gerhard Reichenauerb, Zeshanf, Sohail

Yousafa (April 2018), Combined application of biochar, compost, and bacterial consortia with Italian ryegrass enhanced phytoremediation of petroleum hydrocarbon

contaminated soil. Environmental and Experimental Botany 153 (2018) 80 to 88. (IF 5.36)

27) Abid Hussain, Yousaf shad MuhammadNouman and Nauman Sajid (Jan 2018), Optimization through Genetic Algorithm with a New and Efficient Crossover Operator.

International Journal of Advances in Mathematics Volume 2018, Number 1,Pages 1-14 Year 2017

26) Abid Hussain, Yousaf shad MuhammadNouman and Nauman Sajid (November 2017), Performance Evaluation of Best-Worst Selection Criteria for Genetic Algorithm. Mathematics and Computer Sciences 2017; 2(6):89-97.

25) M.R. Shahid, R. Ahmed, F. Shehzad, Y.S. Muhammad, Development of some useful generators to obtain partially neighbor balanced designs, Journal of King Saud University - Science (2017), doi:http://dx.doi.org/10.1016/j.jksus.2017.07.009

(IF 2.778).

24) Abid Hussain, Yousaf Shad Muhammad, M. Nauman Sajid, Ijaz Hussain, Alla Mohamd Shoukry, and Showkat Gani (2017). Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator, Computational Intelligence and Neuroscience (IF 1.215).

23) Azhar Mehmood Abbasi and Yousaf Shad Muhammad (2017). Manipulationbased ranked set sampling, Pakistan Journal of Statistics and Operations Research (PJSOR) 13(4):775.

22) Azhar Mehmood Abbasi and Yousaf Shad Muhammad ( Jun 2017). Estimation of population mean and median using double robust truncation based ranked set sampling, Pakistan Journal of Statistics and Operations Research (PJSOR): Vol. 13 No. 2.

21) Zulifqar Ali, Ijaz Hussain, Muhammad Faisal, Hafiza Mamoona Nazir, Tajammal Hussain, Yousaf Shad Muhammad, Alaa Mohamd Shoukry and Showkat Hussain Gani (April 2017). Forecasting Drought using Multi Layer Precipitation Artificial

Neural Network Model, Advances in Meteorology. (IF 1.277)

20) Said Arab Khan, Ijaz Hussain, Muhammad Faisal, Yousaf Shad Muhammad and Alaa Mohamd Shoukry (Feb. 2017). Regional Frequency Analysis of Extremes Precipitation using L-Moments and Partial L-Moments, Advances in Meteorology. (IF 1.277)

Year 2016 and before

19) Yousaf Shad Muhammad (Dec. 2016) Multivariate multi-objective compromise

allocation: A game theoretic approach. PLOS ONE. (IF 2.806)

18) Sajjid Gul, Ijaz Hussain, Yousaf Shad Muhammad (2016) Spatio-Temporal

Variability Performance Evaluation of Reference Evapotranspiration Models. International

Journal Of Global Warming. (IF 1.286)

17) Aqib Hassan Ali Khan, Sundus Tanveer, Mariam Anees, Yousaf Shad Muhammad,

Sohail Yousaf. (2016) Role of nutrients and illuminance in predicting the fate

of fungal mediated petroleum hydrocarbon degradation and biomass production,

Journal of Environmental Management 2016. (IF 4.010)

16) Aqib Hassan Ali Khan, Sundus Tanveer, Mariam Anees, Yousaf Shad Muhammad,

Sohail Yousaf. (2016) Effects of illuminance and nutrients on bacterial photophysiology

of hydrocarbon degradation Journal: Science of the Total Environment.

2016. (IF 4.900)

15) Muhammad Azhar and Yousaf Shad Muhammad.(2016) A family of product

estimators for population mean in median ranked set sampling using single and

double auxiliary variables, Interstat.

14) Laila Bibi and Yousaf Shad Muhammad.(2016) Maximum Coverage Location

Model for Emergency Services under Budgetary Condition, NJES, NUST.

13)Yousaf shad Muhammad and Ijaz Hussain (2017). Tradeoff between cost

and variance for a multi-objective compromise allocation in stratified random sampling,

Communication in Statistics- Theory and Methods 03/2016 (IF 0.311)

12) Naima Mubarak, Ijaz Hussain, Muhammad Faisal, Tajammal Hussain, Yousaf

Shad Muhammad, Nasser M. Abdel-Salam,Javid Shabbir (2015). Spatial Distribution

of Sulfate Concentration in Groundwater of South-Punjab, Pakistan. Water

Quality Exposure and Health 04/2015; DOI:10.1007/s12403-015-0165-7, (IF

1.692)

11) Yousaf Shad Muhammad and G.C. Pflug (2014). Stochastic vs. Deterministic

Programming in Water Management: The value of flexibility. Annals of

Operation Research. DOI 10.1007/s10479-013-1455-8. (IF 1.217)

10) Yousaf Shad Muhammad; Javed Shabbir and Ijaz Hussain. (2014). Multiobjective

Compromise Allocation in Multivariate Stratified Sampling Using Gemma

Cost Function. Journal of Mathematical Modelling and Algorithms, Springer.

9) Hussain I.; M. Faisal; Yousaf Shad Muhammad (2015). Assessment of

9

Spatial Models for Interpolation of Elevation in Pakistan. International Journal of

Global Warming. (IF 1.286)

8) Saima Khan, Yousaf Shad Muhammad and Javid Shabbir (2014). Comparison

of Modified Extended Lexicographic Technique with Fuzzy and Value Function

Techniques Using the Auxiliary Information as Attributes. International Journal of

Business and Social Science, ISSN: 2219-1933, 2219-6021 online.

7) Sidra Naz, Yousaf Shad Muhammad and Javed Shabbir (2014). Compromise

Allocation For Mean Estimation In Stratified Random Sampling Using Auxiliary

Attributes When Some Observations Are Missing. International Journal of

Business and Social Science, ISSN: 2219-1933, 2219-6021 online.

6) Yousaf Shad Muhammad, Nouman Afghan and Fayyaz Ahmed (2014). Impact

of Extended Storage Capabilities in IBIS Under Stochastic Hydrologic Regime.

International Journal of Business and Social Science, ISSN: 2219-1933, 2219-6021

online.

5) Yousaf Shad Muhammad, Sadia Aslam, Azhar Mehmood Abbasi and Nouman

Afghan (2014). Performance Evaluation of Automated Teller Machine (ATM)With

Fuzzy TOPSIS Using Sample Survey Results. International Journal of Business and

Social Science, ISSN: 2219-1933, 2219-6021 online.

4) Sarhad Ullah Khan, Yousaf Shad Muhammad and Nouman Afghan (2014).

Multi-objective Compromise Allocation Stratified Sampling in the Presence of Nonresponse

Using Quadratic Cost Function. International Journal of Business and Social

Science, ISSN: 2219-1933, 2219-6021 online.

3) Yousaf Shad Muhammad, Munawar Iqbal, Ijaz Hussain, Shahid Kamal and

Nouman Afghan (2014). Modeling Non-Linear Behavior of Independent Variables.

International Journal of Business and Social Science, ISSN: 2219-1933, 2219-6021

online.

2) Yousaf Shad Muhammad (2010). Water Resources Management by Stochastic

Optimization: A Case Study of Indus Basin Irrigation System. VDM, Berlin,

Germany. ISBN: 978-3-639-2863-5.

1) Ahmad M. A., I. Ahmad and Yousaf Shad Muhammad (1996). Growth

and Instability of Cereal Production in Pakistan. Pakistan Statistical Association

(Faisalabad Chapter), P: 76-85.

Conference Papers

10

1) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2009).

Seafood Value Chain and supply chain Stochastic Optimization. INFORMS Conference,

11-14 October, 2009, San Diego, America.

2)Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2009).

Seafood Value Chain and Supply Chain Integrated Stochastic Model. KTH Conference,

2009, Stolk Holm, Sweden.

3) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008).

Seafood Value Chain and Supply Chain Integrated Stochastic Model. EURO Conference,

2008, Bonn, Germany.

4) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008).

Seafood Value Chain Stochastic Optimization Model: A Supply Chain Tool. INFORMS

Conference, 12-15 October, 2008, Washington DC, America.

5) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008).

Seafood Value Chain Stochastic Optimization Model. APMOD Conference, 27-31

May, 2008, Bratislava, Slovak Republic.

6) Shad M. Y. and G. Pflug (2007). Water Resources Management by Stochastic

Optimization: A Case Study of IBIS, SPXI Conference 27-31 August, 2007,

Vienna, Austria.

7) Shad M. Y. and G. Pflug (2006). Optimal Water Resources Management by

SP, APMOD Conference, 18-21 June, 2006, Madrid, Spain.

1) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2009). Seafood Value Chain and supply chain Stochastic Optimization. INFORMS Conference, 11-14 October, 2009, San Diego, America.

2)Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2009). Seafood Value Chain and Supply Chain Integrated Stochastic Model. KTH Conference, 2009, Stolk Holm, Sweden.

3) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008). Seafood Value Chain and Supply Chain Integrated Stochastic Model. EURO Conference, 2008, Bonn, Germany.

4) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008). Seafood Value Chain Stochastic Optimization Model: A Supply Chain Tool. INFORMS Conference, 12-15 October, 2008, Washington DC, America.

5) Shad M. Y.; Asgeir Tomsgard; Kristin T. Uggen and Peter Sch�tz (2008). Seafood Value Chain Stochastic Optimization Model. APMOD Conference, 27-31 May, 2008, Bratislava, Slovak Republic.

6) Shad M. Y. and G. Pflug (2007). Water Resources Management by Stochastic Optimization: A Case Study of IBIS, SPXI Conference 27-31 August, 2007, Vienna, Austria.

7) Shad M. Y. and G. Pflug (2006). Optimal Water Resources Management by SP, APMOD Conference, 18-21 June, 2006, Madrid, Spain.

• Facility Location Optimization A QAU project on facility location optimization for rescue 15 services was conducted in 2012-13.

• Credit Risk Modelling A one week workshop for credit risk modelers from all leading banks in Pakistan was held at Research Center Modelling and Simulation (RCMS), NUST with collaboration of State Bank of Pakistan in 2011. The participants were given a comprehensive brief on preparing, analyzing and reporting risk factors to their organizations which may poses from individual customers and corporate organizations.

• Internal Credit Risk Model for HBFC HBFC is a public sector lending organization. It deals with customers and organizations for borrowing money. This structure require portfolio risk management mechanism. Our team prepared an internal model for them which is being used in the organization.

• Meat vision Norway Presently I am working on this project. This project is to calibrate a stochastic optimization model for Norwegian meat market.

• Worked as YSSPer 2006 (Young Scientist Summer Programme), IAASA

Lexamburg, Austria.

• CRMcomputational risk management group, University of Vienna, Austria.

• GBHPP worked as consultant in Ghazi Barotha Hydro Power Project. This project was to prepare recommendation for govt. of Pakistan andWorld Bank for land acquisition to lay a water channel from Ghazi to Barotha. This team successfully established a land acquisition report following that no political, social and economic unrest observed. The recommendations those were given by this team were acceptable both for land owners and implementing bodies, WAPDA and WB.

• Pension Fund Austria development of a model for Austrian pension fund.

• AURORA Advanced Models, Applications and Software for High Performance Computing.

• WEBOPT Webbased solutions for optimization problems (Asia IT&C Programm der EU)

• Coupling Methods in Markov Chain Optimization.

• Integrayed supply chain design of natural gas in Pakistan, HEC.