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Haris Khurram

Haris Khurram

Assistant Professor
  • Department of Sciences & Humanities
  • haris.khurram@nu.edu.pk
  • (041) 111-128-128
  • Ext: 280

Introduction

Dr. Haris Khurram is an Assistant Professor of Statistics at National University of Computer and Emerging Sciences (NUCES), Chiniot-Faisalabad Campus where he has been a faculty member since 2018. He also has working experience as a Postdoctoral Fellow in Research Methodology and Data Analytics Program at Department of Mathematics and Computer Sciences, Prince of Songkla University, Pattani Campus, Thailand from 2024 to 2025. Before joining NUCES, he had started sharpening his skills in teaching at Bahauddin Zakariya University Multan and Multan Postgraduate College, Multan where he contributed in Visiting and Permanent capacity respectively. Dr. Khurram received his Ph.D. in Statistics from Bahauddin Zakariya University, Pakistan. He possesses more than nine years of experience in teaching and research.

He is an active researcher in the area of Computational Statistics and Data Science. His work includes Applied Statistics, Data Science, and Machine Learning methods with a focus on biomedical sciences. Furthermore, he is involved in developing calibration estimators in survey sampling. He also developed econometric models for estimation and forecasting purposes. He has considerable experience as an academic editor, section editor, member of the editorial boards, and reviewer for various international Journals. He is currently the academic editor of PLOS One, associate editor of International Journal of Innovations in Science & Technology, section editor of Financial Statistical Journal for Machine Learning in Finance and also Applied Spatial Statistics and Econometrics, and an editorial board member of the Acta Scientific Medical Sciences Journal. He authored over 40 research publications in esteemed international journals.

Fields in Interest

  • Computational Statistics
  • Statistical Modeling
  • Data Science
  • Public Health and Epidemiology
  • Survey Sampling
  • Econometric Modeling
  • Bayesian Nonparametric Modelling

Education

Ph.D. (Statistics), Bahauddin Zakariya University, Multan, Pakistan (2016-2021)
M.Phil. (Statistics), Bahauddin Zakariya University, Multan, Pakistan (2014-2016)
M.Sc. (Statistics), Bahauddin Zakariya University, Multan, Pakistan (2012-2014)

Publications

Research Papers

1. Zafar, S., Bai, Y., Muhammad, S. A., Guo, J., Khurram, H., Zafar, S., … & Bai, B. (2025). Molecular dynamics simulation based prediction of T-cell epitopes for the production of           effector molecules for liver cancer immunotherapy. PloS one, 20(1), e0309049. (IF 2.9, Q1)

2. Wongpairin, A., Lim, A., Tongkumchum, P., Thongpeth, W., & Khurram, H. (2024). Assessing diagnosis-related groups based direct medical expenditures of chronic disease patients   in general hospital of lower southern Thailand. Cost Effectiveness and Resource Allocation, 22(1), 87. (IF 1.7, Q2)

3. Shahid, S., Khurram, H., Shehzad, M.A. et al.Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling. BMC Med Inform Decis     Mak 24, 351 (2024). https://doi.org/10.1186/s12911-024-02774-y (IF 3.3, Q1)

4. Lim, A., Owusu1, B. A., Thongrod, T., Khurram, H., Pongsiri, N., Ingviya, T., Buya, S. (2024) Trend and Association Between Particulate Matters and Meteorological Factors: A   Prospect for Prediction of PM2.5 in Southern Thailand. Pol. J. Environ. Stud. 1-9 (IF 1.4, Q2,)

5. Shahid S, Khurram H, Lim A, Shabbir MF, Billah B. Prediction of cyanotic and acyanotic congenital heart disease using machine learning models. World J Clin Pediatr 2024; 13(4):   98472. (Q2)

6. Khurram, H., Lim, A. (2024). Analyzing and forecasting air pollution concentration in the capital and Southern Thailand using a lag-dependent Gaussian process model. Environ     Monit Assess 196, 1106. (IF 2.9, Q2)

7. Long, L., Hamdani, S. D., Hamdani, S. M. Z. H., Zhuang, J., Khurram, H., & Hadier, S. G. (2024). Establishing age-and sex-specific anthropometric growth references standards for   South Punjab adolescents utilizing the LMS method: findings from the Pakistani population. Frontiers in Public Health, 12, 1417284. (IF 3, Q2)

8. Akram, W., Sajjad, A., Ali, M., Khurram, H., & Rafique, M. K. (2024). Communities of Arid Bees as Affected by Weather Factors and Foraging Resources in Southern Punjab,   Pakistan. Pakistan Journal of Zoology, 1-5,2024 (IF 0.5, Q4)

9. Shehzad, M. A., Nisar, A., Khan, A., Emam, W., Tashkandy, Y., Khurram, H., & Al-Shbeil, I. (2024). Modified median quartile double ranked set sampling for estimation of   population mean. Heliyon, 10(14). (IF 4, Q1)

10. Sajjad, A., Shah, S., Abbas, G., Aslam, A., Randhawa, F., Khurram, H., & Assiri, A. (2024). Treatment gap and barriers to access mental healthcare among women with postpartum   depression symptoms in Pakistan. PeerJ, 12, e17711. (IF 2.7, Q1)

11. Intizar, M. N., Shehzad, M. A., Khurram, H., Iftikhar, S., Khan, A., & Kashif, A. R. (2024). Integrating endogeneity in survey sampling using instrumental-variable calibration   estimator. Heliyon, 10(13). (IF 4, Q1)

12. Hadier, S. G., Liu, Y., Long, L., Hamdani, S. M. Z. H., Khurram, H., Hamdani, S. D., … & Fatima, S. U. (2024). Assessment of physical literacy in 8-to 12-year-old Pakistani school   children: reliability and cross-validation of the Canadian assessment of physical literacy-2 (CAPL-2) in South Punjab, Pakistan. BMC Public Health, 24(1), 1726. (IF 3.5, Q1)

13. Atthasongkhro, J., Lim, A., Ueranantasun, A., Tongkumchum, P., & Khurram, H. (2024). A statistical model of solar radiation absorption in the United States. Terrestrial,   Atmospheric and Oceanic Sciences, 35(1), 11. (IF 0.8, Q3)

14 Hadier, S. G., Yinghai, L., Long, L., Hamdani, S. M. Z. H., Khurram, H., Hamdani, S. D., … & Guo, Y. (2024). Urdu Translation and Cross-Cultural Adaptation of Canadian   Assessment of Physical Literacy-2 (CAPL-2) Questionnaires: A Reliability Analysis in Pakistani Children. New Directions for Child and Adolescent Development, 2024. (IF 2.8, Q1)

15. Alanazi, A. S., Shah, S., Abbas, G., Hussain, M., Saleem, A., Khurram, H., … & Alzarea, S. I. (2023). Assessing patient satisfaction with community pharmacy services: a large   regional study at Punjab, Pakistan. Patient preference and adherence, 13-22. (IF 2, Q1)

16. Khurram, H., & Aslam, M. (2023). Adaptive partial least squares estimation addressing heteroscedasticity and multicollinearity: a Monte Carlo simulation evidence.   Communications in Statistics-Simulation and Computation, 1-9. (IF 0.9, Q2)

17. Hamdani, S. M. Z. H., Zhuang, J., Hadier, S. G., Khurram, H., Hamdani, S. D. H., Danish, S. S., … & Tian, W. (2023). Establishment of health-related physical fitness evaluation   system for school adolescents aged 12–16 in Pakistan: a cross-sectional study. Front. Public Health, Sec. Public Health Education and Promotion, 10:3389. (IF 5.2, Q2)

18. Zafar S, Khurram H, Kamran M, Fatima M, Parvaiz A, Shaikh RS (2023) Potential of GJA8gene variants in predicting age-related cataract: A comparison of supervised machine l   learning methods. PLoS ONE 18(8): e0286243. (IF 3.75, Scopus Q1)

19. Shehzad, M. A., Khurram, H., Hashmi, S., Bashir, A., and  Niaz, A. (2023). Modified Principal Component Calibration Estimator in Survey Sampling. J. Statist, 39(3), 299- 312.   (Scopus Q3, HEC “Y” Category)

20. Shah S, Abbas G, Aslam A, Randhawa FA, Khan FU, Khurram H, et al. (2023) Assessment of health-related quality of life among patients with obesity, hypertension and type 2   diabetes mellitus and its relationship with multimorbidity. PLoS ONE 18(8): e0289502. (IF 3.752, Scopus Q1)

21. Brirah, L., Khurram, H., Shehzad, M. A., and Khan, A. (2023). Neural Network Calibration Estimation with High Dimensional Data in Survey Sampling: Evidence Using Monte   Carlo Simulation Scheme. Pak. J. Statist, 39(3), 299-312. (Scopus Q3, HEC “Y” Category)

22. Alanazi, A. S., Shah, S., Abbas, G., Hussain, M., Saleem, A., Khurram, H., … & Alzarea, S. I. (2022). Assessing Patient Satisfaction with Community Pharmacy Services: A Large   Regional Study at Punjab, Pakistan. Patient preference and adherence, 13-22. (IF 2.71, Scopus Q1)

23. Shahid S, Khurram H, Billah B, Akbar A, Shehzad MA and Shabbir MF (2022) Machine learning methods for predicting major types of rheumatic heart diseases in children of   Southern Punjab, Pakistan. Front. Cardiovasc. Med. 9:996225. (IF 5.84, Scopus Q3)

24. Mallhi T H, Khan Y H, Abbas G, Shah S, Khurram H, Chand U R, Riaz M, Faheem H I, Nisar M F, & Raza A. (2022). Assessment of Knowledge and Perception of Pharmacy   Students Regarding Herbal Drugs: a Cross-Sectional Analysis from Pakistan. Lat. Am. J. Pharm. 41 (11): 2138-46 (IF 0.24, Scopus Q4)

25. Shah, S., Hanif, M., Khan, H. U., Khan, F. U., Abbas, G., Khurram, H., … & Haris, M. (2022). Knowledge, Attitudes and Practices of Pharmacogenomics Among Senior Pharmacy   Students: A Cross Sectional Study from Punjab, Pakistan. Pharmacogenomics and Personalized Medicine, 15, 429-439. (IF 2.606, Scopus Q3)

26. Omar AB, Huang S, Salameh AA, Khurram H and Fareed M (2022) Stock Market Forecasting Using the Random Forest and Deep Neural Network Models Before and During the   COVID-19 Period. Environ. Sci. 10:917047 (IF 5.41, Scopus Q2)

27. Mallhi T H, Khan Y H, Shah S, Abbas G, Chand U R, Khurram H, Abid R, Nasir A, Saeed S, Riaz M, & Alishba. (2022). Knowledge, Attitude and Practice of Community     Pharmacists Regarding Generic Medicines: A National Cross-Sectional Survey. Lat. Am. J. Pharm. 41 (10): 1962-70 (IF 0.24, Scopus Q4

28. Parveen, M., Khurram, H., Ahmad, S., & Shehzad, M. A. (2022). Modeling of Body Mass Index, Body Fat Percentage and Body Adiposity Index for Measuring Obesity and Its Risk   in School-Going Children of District Multan. Pak Pediatr J, 46(2), 205-10. (Scopus Q4, HEC “Y” Category)

29. Alzarea, A. I., Mallhi, T. H., Shah S, Abbas G, Khan, H. U., Alanazi, A. S., H, Chand, U. R., Khan, U. H., Kareem, M. Rehman, U. & Faheem, I, H. (2022). Assessment of Knowledge   and Self-Confidence for Appropriate Antibiotic Therapy, Resistance and Workshop with Undergraduate Pharmacy Students. Latin American Journal of Pharmacy. 41 (5): 944-52 (IF   0.24, Scopus Q4)

30. Fareed, F., Khurram, H., Fareed, S., Fareed, R., & Hashmi, M. W. (2022). Assessment of Knowledge and Perception About Hand Hygiene at THQ Hospital Kot-Addu, Pakistan.   Annals of Punjab Medical College (APMC), 16(1), 9-12. (HEC, “Y” Category)

31. Shah S, Abbas G, Hanif M, Ali M, Rehman U A, Khurram H, and Chand R U. (2022). Disposal practices of expired and unused medications among households in Punjab, Pakistan,   Current Drug Safety. 17(). (Scopus Q3, HEC, “Y” Category)

33. Aslam A, Shah S, Abbas G, Rehman Au, Malhi TH, Alotaibi NH, Alzarea AI, Rasool MF, Khurram H, Noureen S, Saeed Bokhari MT. (2022). Assessment of health-related quality   of life in hypertensive hemodialysis patients. PeerJ 10:e12690 (IF 2.38, Scopus Q1)

34. Shehzad, M. A., Khurram, H., Iqbal, Z., Parveen, M., & Shabbir, M. N. (2022). Nutritional status and growth centiles using anthropometric measures of school-aged children and   adolescents from Multan district. Archives de Pédiatrie. 29 (2), 133-139. (IF 1.18, Scopus Q2)

35. Omar, A. B., Khurram, H., Parveen, M., Kashif, A. R., Shehzad, M. A., & Bukhari, N. (2022). Corporate risk management: An empirical evidence on foreign currency derivatives’   use by Malaysian nonfinancial firms. Journal of Public Value and Administrative Insight, 5(1), 24-36. (HEC, “Y” Category)

36. Saadullah, M., Shah, S., Farrukh, M., Chauhdary, Z., Aslam, A., Khan, H. U., Abbas, G., Shah, M. A., Khurram, H., Chand, U. R., Haris, M., & Khaliq, H. M. E. (2021). Knowledge,   Attitudes and Perceptions of Medical and Non-Medical Students towards COVID-19 in Punjab, Pakistan: a Cross-sectional Survey. Latin American Journal of Pharmacy. 40 (11): 2617-   23 (2021) (IF 0.24, Scopus Q4)

37. Aslam, A., Shah, S., Shehzad, M. A., Chauhdary, Z., Mahmood-Ur-Rahman, Zafarullah, M., Abbas, G., Farooq, U., Khurram, H., Chand, U. R., Zulfiqar, N. & Nehaj Ul Sakeena   (2021). Knowledge, Attitude, and Practices of Antibiotics and Antibiotic Resistance among Pharmacy Customers in Punjab, Pakistan: A Multicenter Survey Study. Am. J. Pharm. 40 (7):   1685-92 (IF 0.24, Scopus Q4)

38. Aslam, A., Shah, S., Abbas, G., Mahmood-Ur-Rahman, Chauhdary, Z., Ahmed, M. M., Khurram, H., Rasul, A., Ali, M. Y., Chand, U. R., & Haris, M. (2021). Community   Pharmacists Interest and Attitudes to Pharmacy Practice Research in Pakistan: A Cross-sectional study. Am. J. Pharm. 40 (5): 1015-20 (IF 0.24, Scopus Q4)

39. Shah, S., Ahmed, M. M., Mahmood-Ur-Rahman, Chauhdary, Z., Aslam, A., Nisar, N., Abbas, G., Khurram, H., Mukhtar, A., Noreen, S., & Zulfiqar, N. (2021). Utilization of Self-   Medication, Prescription Medication and Herbal Remedies During Pregnancy in Punjab, Pakistan. Am. J. Pharm. 40 (2): 339-46 (IF 0.24, Scopus Q4)

40. Shahid Shah , Ghulam Abbas , Zunera Chauhdary , Ayesha Aslam , Anees ur Rehman , Haris Khurram , Sibgha Noreen , Usman Rashid Chand , Muhammad Haseeb Younis &   Umar Zulfiqar (2021): Antibiotic use: A cross-sectional survey assessing the knowledge, attitudes, and practices amongst students of Punjab, Pakistan, Journal of American College   Health. (IF 1.71, Scopus Q2)

41. Rehman, S. U., Zhou, X., Ali, S., Rasheed, M. A., Islam, Y., Hafeez, M., … & Khurram, H. (2020). Predatory functional response and fitness parameters of Orius strigicollis Poppius   when fed Bemisia tabaci and Trialeurodes vaporariorum as determined by age-stage, two-sex life table. PeerJ, 8, e9540. (IF 2.38, Scopus Q1)

42. Riazurrehman, M., Iqbal, A., Ayaz, S., Khurram, H., Akhtar, N., Mahmood, A., … & Asif, H. M., (2020). An alternative approach to treat obesity with leptogenic polyherbal   formulation obesecure: A randomized clinical trial study, Pak. J. Pharm. Sci., Vol.33, No.5(Special), pp.2423-2430. (IF 0.596, Scopus Q3)

43. SHAH, S., ULLAH. M., CHAUDHRY, Z., AHMED, M. M., ASLAM, A., ABBAS, G., KHURRAM, H.,, U. R.,KHALIQ, H. M. E., & RIAZ, N. (2020). A Cross Sectional Survey of   Health Behaviors, Self-Prescription and Care Needs among Pharmacy Students of Different Institutions of Punjab, Pakistan. Lat. Am. J. Pharm. 39 (9): 1817-22 (IF 0.24, Scopus Q4)

44. Khurram, H. and Iqbal, M. M. (2019). Forecasting Potato Production in Pakistan Using Bayesian Non Parametric Modelling. International Journal of Biology, Pharmacy and Allied   Sciences. 8(12),2287-2295. (ISI index, HEC “X” Category)

45. Omar, A. B., & Muhammad, K. N. B. T., & Khurram, H. (2019). Does market portfolio index really affect foreign exchange exposure? An empirical evidence from Malaysian   nonfinancial firms. Global Business Management Review, 11(2)

46. Kousar, R., Imran, Z., Khan, Q. M., Khurram, H. (2019). Impact of Terrorism on Stock Market: A Case of South Asian Stock Markets. Journal of Accounting and Finance in   Emerging Economies, 5(2), 215-242. (HEC, “Y” Category)

47. Narmeen, S., Saba, I., Kouser, R., & Khurram, H. (2018). Why Banks need adequate Capital Adequacy Ratio? A Study of Lending & Deposit Behaviors of Banking Sector of   Pakistan. Journal of Accounting and Finance in Emerging Economies, 4(1), 11-26. (HEC, “Y” Category)

48. Iqbal, M. M., Khurram, H. and Afzal, S. (2016). A New Way to Identify the Family of Continuous Probability Distributions and Estimation of Population Parameter(s). Sindh Univ.   Res. Jour. (Sci. Ser.) Vol. 48 (4). pp.711-716 (HEC, “X” Category)

49. Khurram, H. and Aslam, M. (2016). Marks Comparison: A Comparative Study of Marks Distribution of Student of Matriculation in Multan District. The Sindh University Journal   of Education Vol. 45(2). pp. 21-28 (HEC, “Y” Category)

 Conference Paper

1. Shahid, S. and Khurram, H. (2022). Prediction of Cyanotic and Acyanotic Congenital Heart Disease using Machine Learning Methods. International Conference and Expo on   Neonatology and Perinatology- October 2022. Belgium.

2. Barira, L. Shahzed, M. A, and Khurram, H. (2022). Artificial Neural Network Calibration estimator in Survey sampling. Day-long virtual conference on Latest developments on the   Theory and Practice of Sample Surveys and Census- March 12,2022.

3. Shahzed, M. A, and Khurram, H. (2022). A Modified Principal Component calibration in Survey Sampling. Day-long virtual conference on Latest developments on the Theory and   Practice of Sample Surveys and Census- March 12,2022. (Win Best Paper award of 200 Euro)

4. Khurram, H. and Iqbal, M. M. (2021). KERNEL FUNCTIONS FOR SEASONAL AND NON-SEASONAL TIME SERIES. Proc. 18th International Conference on Statistical Sciences   Lahore, Pakistan – February 18-20, 2021, Vol. 35, pp. 119-13

5. Khurram, H. and Iqbal, M. M. (2020). Essential of Bayesian Non-Parametric Modelling and Applications. First National Multidisciplinary Conference (MEET-2020), Jhang,   Pakistan.

6. Shahid, S., Khurram, H., Akbar, A. (2019). Predicting Congenital Heart Diseases Using Parametric and Nonparametric Approach. 15th Islamic Countries Conference on Statistical   Sciences (ICCS-15) Lahore, Pakistan.

7. Khurram, H., Shahzad, M. A. and Arslan, M. (2019). A Comparison of Models to Forecast the Potato Production on Pakistan. Paper present at 17th International Conference of   statistical sciences, Lahore, Pakistan.

8. Shahzad, M. A., and Khurram, H. (2019). A Modified Principal Component calibration in Survey Sampling. Paper present at 17th International Conference of statistical sciences,   Lahore, Pakistan.

9. Shahzad, M. A., and Khurram, H. (2018). Adaptive Principal Component Calibration Estimation in Survey Sampling. Paper present at 16th International Conference of statistical   sciences, Peshawar, Pakistan.

10. Khurram, H. and Aslam, M. (2016). Size Distortion for Linear Regression Model in the Presence of Heteroscedastic and Non-Normal Error Terms. Proc. 14th International   Conference on Statistical Sciences Karachi, Pakistan – March 14-16, Vol. 29, pp. 221-228.

Collaborations at National and International Level

Detail of Funded Projects