![Bahman Rostami-Tabar](https://profiles-cardiff.imgix.net/attachments/4044?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Yr Athro Bahman Rostami-Tabar
(e/fe)
Athro Gwyddor Penderfyniad a Yrrir gan Ddata
- Rostami-TabarB@caerdydd.ac.uk
- +44 29208 70723
- Adeilad Aberconwy, Ystafell C08, Rhodfa Colum, Cathays, Caerdydd, CF10 3EU
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
Bahman yw'r Athro Gwyddor Penderfyniad sy'n cael ei Yrru gan Ddata yn Ysgol Busnes Caerdydd, Prifysgol Caerdydd, y DU.
Bahman yw sylfaenydd a chyfarwyddwr y Grŵp Ymchwil Labordy Data ar gyfer Ymchwil Da Cymdeithasol yn Ysgol Busnes Caerdydd a sylfaenydd a Chadeirydd mentrau Darogan er Daioni Cymdeithasol a noddir gan Sefydliad Rhyngwladol y Daroganwyr. Mae hefyd yn arwain y thema "Ansicrwydd a'r dyfodol" yn y Sefydliad Arloesi Trawsnewid Digidol.
Bahman yn angerddol am ansicrwydd a'r dyfodol. Mae'n arbenigo mewn datblygu a chymhwyso offer a thechnegau gwyddor modelu, rhagweld a rheoli, gan ddarparu mewnwelediadau gwybodus ar gyfer prosesau llunio polisi a gwneud penderfyniadau wrth wynebu dyfodol ansicr a thrawsnewidiadau cynaliadwyedd, ac mae wedi cyfrannu at sectorau sy'n cyfrannu at les cymdeithasol, gan gynnwys gweithrediadau gofal iechyd, cadwyni cyflenwi iechyd a dyngarol byd-eang, amaethyddiaeth a bwyd, cynaliadwyedd cymdeithasol, a pholisi llywodraethol. Mae ei ymdrechion cydweithredol wedi rhychwantu llu o sefydliadau, gan gynnwys cyrff nodedig fel y Gwasanaeth Iechyd Gwladol (GIG), Ymddiriedolaethau Gwasanaeth Ambiwlans Cymru (WAST), Asiantaeth Datblygiadau Rhyngwladol yr Unol Daleithiau (USAID), Pwyllgor Rhyngwladol y Groes Goch (ICRC), a John Snow Inc. (JSI). Un o uchafbwyntiau rhyfeddol ei gyfraniadau yw ei rôl ganolog wrth ledaenu gwybodaeth ragfynegi, yn enwedig mewn gwledydd incwm isel ac is-ganolig trwy'r prosiect darogan democrataidd a noddir gan Sefydliad Rhyngwladol y Daroganwyr.
Mae gan Bahman Ph.D. mewn Peirianneg Cynhyrchu o Brifysgol Bordeaux, Ffrainc. Enillodd ei B.Sc. mewn Peirianneg Ddiwydiannol o Brifysgol Technoleg K.N.Toosi, Tehran, Iran, a'i M.Sc. mewn Peirianneg Ddiwydiannol o Brifysgol Tarbiat Modares, Tehran.
Cyhoeddiad
2024
- Wang, Z., Rostami-Tabar, B., Haider, J., Naim, M. and Haider, J. 2024. Investigating length of stay patterns and its predictors in the South Wales Trauma Network. Advances in Rehabilitation Science and Practice, article number: 13. (10.1177/27536351241237866)
- Rostami-Tabar, B. and Hyndman, R. J. 2024. Hierarchical time series forecasting in emergency medical services. Journal of Service Research (10.1177/10946705241232169)
- Hasni, M., Babai, M. Z. and Rostami-Tabar, B. 2024. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. International Journal of Production Research (10.1080/00207543.2024.2306904)
- Rostami-Tabar, B., Arora, S., Rendon-Sanchez, J. F. and Goltsos, T. E. 2024. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics 35(1), pp. 21-43. (10.1093/imaman/dpad009)
2023
- Babaveisi, V., Teimoury, E., Gholamian, M. R. and Rostami-Tabar, B. 2023. Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research 61(20), pp. 6791-6807. (10.1080/00207543.2022.2137596)
- Gartner, D., Viana, J., Rostami-Tabar, B., Pförringer, D. and Edenharter, G. 2023. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society 74(10), pp. 2215-2226. (10.1080/01605682.2022.2129490)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548, article number: 126376. (10.1016/j.neucom.2023.126376)
- Rostami-Tabar, B., Babai, Z. and Syntetos, A. 2023. To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. Journal of the Operational Research Society 74(8), pp. 1840-1859. (10.1080/01605682.2022.2118631)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2023. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems (10.1080/20476965.2023.2200526)
- Abolghasemi, M., Rostami-Tabar, B. and Syntetos, A. 2023. The value of point of sales information in upstream supply chain forecasting: an empirical investigation. International Journal of Production Research 61(7), pp. 2162-2177. (10.1080/00207543.2022.2063086)
- Rostami-Tabar, B. and Disney, S. 2023. On the order-up-to policy with intermittent integer demand and logically consistent forecasts. International Journal of Production Economics 257, article number: 108763. (10.1016/j.ijpe.2022.108763)
- Rostami-Tabar, B., Goltsos, T. E. and Shixuan, W. 2023. Forecasting for lead-time period by temporal aggregation: Whether to combine and how. Computers in Industry 145, article number: 103803. (10.1016/j.compind.2022.103803)
2022
- Rostami-Tabar, B., Hasni, M. and Babai, Z. 2022. On the inventory performance of demand forecasting methods of medical items in humanitarian operations. IFAC-PapersOnLine 55(10), pp. 2737-2742. (10.1016/j.ifacol.2022.10.132)
- Rostami-Tabar, B. and Ziel, F. 2022. Anticipating special events in emergency department forecasting. International Journal of Forecasting 38(3), pp. 1197-1213. (10.1016/j.ijforecast.2020.01.001)
- Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D. and Syntetos, A. 2022. Forecasting for social good. International Journal of Forecasting 38(3), pp. 1245-1257. (10.1016/j.ijforecast.2021.02.010)
- Petropoulos, F. et al. 2022. Forecasting: theory and practice. International Journal of Forecasting 38(8), pp. 705-871. (10.1016/j.ijforecast.2021.11.001)
- Rostami-Tabar, B. and Boylan, J. 2022. Forecasting and its Beneficiaries. In: Salhi, S. and Boylan, J. eds. The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 695-717., (10.1007/978-3-030-96935-6_21)
- Rostami-Tabar, B., Hong, T. and Porter, M. D. 2022. Guest Editorial: Forecasting for social good. International Journal of Forecasting 38(3), pp. 1173-1174.
- Mircetic, D., Rostami-Tabar, B., Nikolicic, S. and Maslaric, M. 2022. Forecasting hierarchical time series in supply chains: an empirical investigation. International Journal of Production Research 60(8), pp. 2514-2533. (10.1080/00207543.2021.1896817)
- Babai, M. Z., Boylan, J. E. and Rostami-Tabar, B. 2022. Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research 60(1), pp. 324-348. (10.1080/00207543.2021.2005268)
- Wang, Z., Rostami-Tabar, B., Haider, J. J. and Naim, M. 2022. A systematic literature review of trauma networks and systems: from operations management perspectives. Presented at: 12th European Decision Sciences Conference, Dublin, Ireland, 29 May – 1 June 2022.
2021
- Rostami-Tabar, B. 2021. Business forecasting in developing countries. In: Gilliland, M., Tashman, L. and Sglavo, U. eds. Business forecasting : the emerging role of artificial intelligence and machine learning. Wiley and SAS Business Series
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100, article number: 106932. (10.1016/j.asoc.2020.106932)
2019
- Rostami-Tabar, B., Babai, M. Z., Ali, M. and Boylan, J. E. 2019. The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. European Journal of Operational Research 273(3), pp. 920-932. (10.1016/j.ejor.2018.09.010)
2017
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
2016
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
2015
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
2014
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
2013
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
2008
- Amin-Naseri, M. and Rostami-Tabar, B. 2008. Neural network approach to lumpy demand forecasting for spare parts in process industries. Presented at: International Conference on Computer and Communication Engineering, 13-15 May 20082008 International Conference on Computer and Communication Engineering Proceedings. IEEE pp. -., (10.1109/ICCCE.2008.4580831)
- Nasiri Pour, A., Rostami-Tabar, B. and Rahimzadeh, A. 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proceedings of the World Academy of Science, Engineering and Technology 2(4)
Articles
- Wang, Z., Rostami-Tabar, B., Haider, J., Naim, M. and Haider, J. 2024. Investigating length of stay patterns and its predictors in the South Wales Trauma Network. Advances in Rehabilitation Science and Practice, article number: 13. (10.1177/27536351241237866)
- Rostami-Tabar, B. and Hyndman, R. J. 2024. Hierarchical time series forecasting in emergency medical services. Journal of Service Research (10.1177/10946705241232169)
- Hasni, M., Babai, M. Z. and Rostami-Tabar, B. 2024. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. International Journal of Production Research (10.1080/00207543.2024.2306904)
- Rostami-Tabar, B., Arora, S., Rendon-Sanchez, J. F. and Goltsos, T. E. 2024. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics 35(1), pp. 21-43. (10.1093/imaman/dpad009)
- Babaveisi, V., Teimoury, E., Gholamian, M. R. and Rostami-Tabar, B. 2023. Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research 61(20), pp. 6791-6807. (10.1080/00207543.2022.2137596)
- Gartner, D., Viana, J., Rostami-Tabar, B., Pförringer, D. and Edenharter, G. 2023. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society 74(10), pp. 2215-2226. (10.1080/01605682.2022.2129490)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548, article number: 126376. (10.1016/j.neucom.2023.126376)
- Rostami-Tabar, B., Babai, Z. and Syntetos, A. 2023. To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. Journal of the Operational Research Society 74(8), pp. 1840-1859. (10.1080/01605682.2022.2118631)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2023. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems (10.1080/20476965.2023.2200526)
- Abolghasemi, M., Rostami-Tabar, B. and Syntetos, A. 2023. The value of point of sales information in upstream supply chain forecasting: an empirical investigation. International Journal of Production Research 61(7), pp. 2162-2177. (10.1080/00207543.2022.2063086)
- Rostami-Tabar, B. and Disney, S. 2023. On the order-up-to policy with intermittent integer demand and logically consistent forecasts. International Journal of Production Economics 257, article number: 108763. (10.1016/j.ijpe.2022.108763)
- Rostami-Tabar, B., Goltsos, T. E. and Shixuan, W. 2023. Forecasting for lead-time period by temporal aggregation: Whether to combine and how. Computers in Industry 145, article number: 103803. (10.1016/j.compind.2022.103803)
- Rostami-Tabar, B., Hasni, M. and Babai, Z. 2022. On the inventory performance of demand forecasting methods of medical items in humanitarian operations. IFAC-PapersOnLine 55(10), pp. 2737-2742. (10.1016/j.ifacol.2022.10.132)
- Rostami-Tabar, B. and Ziel, F. 2022. Anticipating special events in emergency department forecasting. International Journal of Forecasting 38(3), pp. 1197-1213. (10.1016/j.ijforecast.2020.01.001)
- Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D. and Syntetos, A. 2022. Forecasting for social good. International Journal of Forecasting 38(3), pp. 1245-1257. (10.1016/j.ijforecast.2021.02.010)
- Petropoulos, F. et al. 2022. Forecasting: theory and practice. International Journal of Forecasting 38(8), pp. 705-871. (10.1016/j.ijforecast.2021.11.001)
- Rostami-Tabar, B., Hong, T. and Porter, M. D. 2022. Guest Editorial: Forecasting for social good. International Journal of Forecasting 38(3), pp. 1173-1174.
- Mircetic, D., Rostami-Tabar, B., Nikolicic, S. and Maslaric, M. 2022. Forecasting hierarchical time series in supply chains: an empirical investigation. International Journal of Production Research 60(8), pp. 2514-2533. (10.1080/00207543.2021.1896817)
- Babai, M. Z., Boylan, J. E. and Rostami-Tabar, B. 2022. Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research 60(1), pp. 324-348. (10.1080/00207543.2021.2005268)
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100, article number: 106932. (10.1016/j.asoc.2020.106932)
- Rostami-Tabar, B., Babai, M. Z., Ali, M. and Boylan, J. E. 2019. The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. European Journal of Operational Research 273(3), pp. 920-932. (10.1016/j.ejor.2018.09.010)
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
- Nasiri Pour, A., Rostami-Tabar, B. and Rahimzadeh, A. 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proceedings of the World Academy of Science, Engineering and Technology 2(4)
Book sections
- Rostami-Tabar, B. and Boylan, J. 2022. Forecasting and its Beneficiaries. In: Salhi, S. and Boylan, J. eds. The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 695-717., (10.1007/978-3-030-96935-6_21)
- Rostami-Tabar, B. 2021. Business forecasting in developing countries. In: Gilliland, M., Tashman, L. and Sglavo, U. eds. Business forecasting : the emerging role of artificial intelligence and machine learning. Wiley and SAS Business Series
Conferences
- Wang, Z., Rostami-Tabar, B., Haider, J. J. and Naim, M. 2022. A systematic literature review of trauma networks and systems: from operations management perspectives. Presented at: 12th European Decision Sciences Conference, Dublin, Ireland, 29 May – 1 June 2022.
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
- Amin-Naseri, M. and Rostami-Tabar, B. 2008. Neural network approach to lumpy demand forecasting for spare parts in process industries. Presented at: International Conference on Computer and Communication Engineering, 13-15 May 20082008 International Conference on Computer and Communication Engineering Proceedings. IEEE pp. -., (10.1109/ICCCE.2008.4580831)
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
Ymchwil
Ymchwil
Mae gen i ddiddordeb mewn datblygu methodolegau arloesol wrth ragfynegi ar gyfer goo cymdeithasol a pha mor ragweld, nawr castio a .
Prif ddiddordebau ymchwil
- Rhagfynegiad er lles cymdeithasol
- Llawdriniaethau gofal iechyd
- Gweithrediadau iechyd a dyngarol byd-eang
- Data Driven Rhagweld (yn seiliedig ar gynnwys, Machine Learning)
- Dysgu peiriant
- Gwyddor Penderfyniad
Addysgu
Teaching commitments
- Operations Analytics
- Strategic Supply Chain Management
Bywgraffiad
Cymwysterau
- 2016 - Tystysgrif Ôl-raddedig mewn Dysgu ac Addysgu mewn Addysg Uwch, Prifysgol Coventry, UK
- 2014 - Ph.D., Peirianneg Cynhyrchu. Traethawd ymchwil o'r enw 'ARIMA Demand Forecasting by Aggregation', Prifysgol Bordeaux, Ffrainc
- 2010 - M.Sc., Systemau Gwybodaeth, ECE Paris, Ffrainc
- 2009 - Hyfedredd yn yr iaith Ffrangeg, Université de Poitiers , Ffrainc
- 2008 - M.Sc., Peirianneg Diwydiannol, Prifysgol Modares Tarbiat, Tehran, Iran
- 2002 - B.Sc., Peirianneg Ddiwydiannol, KN Toosi Uni. Technoleg Tehran, Iran (4 blynedd).
Anrhydeddau a dyfarniadau
- 2024, Cymrodoriaeth, Sefydliad Gwybodaeth Uwch Montpellier ar Drawsnewidiadau
- 2021, Cymrawd Gwerth Cyhoeddus
- 2021, Cymrawd Cyswllt, cymuned NHS-R
- Gwobr Papur Gorau MIM 2013 (IFAC)
- 2017 Symposiwm Rhyngwladol ar Beirianneg Ddiwydiannol a Rheoli Gweithrediadau, Gwobr Papur Trac Gorau, Bryste, UK
Safleoedd academaidd blaenorol
- 2015 - 2016: Lecturer in Supply Chain Management, School of Strategy and Leadership, Coventry University, UK.
- 2013 - 2015: Postdoctoral Research Fellowship, Industrial Engineering Lab, Ecole Centrale Paris, France.
Meysydd goruchwyliaeth
Goruchwylio PhD
Rwy'n croesawu ymholiadau gan ddarpar fyfyrwyr PhD ym meysydd
- Ansicrwydd a'r dyfodol
- Modelu ar gyfer pontio cynaliadwyedd
- Rhagfynegiad er lles cymdeithasol
- Gweithrediadau Gofal Iechyd
- Cadwyni cyflenwi Iechyd a Dyngarol Byd-eang
- Dysgu Peiriant
- Rhagweld Cyfres Amser
- Darogan trwy agregu (Hierarchaidd a thros dro)
Goruchwyliaeth gyfredol
Themâu ymchwil
Arbenigeddau
- Rhagweld Cyfres Amser
- Dysgu peirianyddol
- Gwyddor Penderfyniad a yrrir gan ddata
- Rhagfynegiad er lles cymdeithasol
- Cysoni Rhagolwg Hierarchaidd ac Amserol
