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. Mae ganddo ddiddordeb mewn trawsnewid data yn fewnwelediadau ar gyfer gwneud penderfyniadau gwell. Bahman yw sylfaenydd a chyfarwyddwr y Grŵp Labordy Data ar gyfer Ymchwil Da Cymdeithasol yn Ysgol Busnes Caerdydd a sylfaenydd a chadeirydd mentrau Darogan er Lles Cymdeithasol a noddir gan Sefydliad Rhyngwladol y Daroganwyr. Mae hefyd yn arwain thema "Ansicrwydd a'r Dyfodol" yn y Sefydliad Arloesi Trawsnewid Digidol.
Mae Bahman yn angerddol am ansicrwydd a'r dyfodol. Mae'n arbenigo mewn datblygu a chymhwyso offer a thechnegau modelu tebygolrwydd, rhagweld ac ymchwil gweithredol, gan ddarparu mewnwelediadau gwybodus ar gyfer prosesau llunio polisi a gwneud penderfyniadau wrth wynebu dyfodol ansicr, ac mae ei ymchwil 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 cyfraniadau ymchwil Bahman yn perthyn i dri maes:
1) Cysyniadol, canolbwyntio ar sut y gellir defnyddio rhagfynegi a modelu er budd cymdeithasol neu i lywio penderfyniadau sy'n gysylltiedig â'r Nodau Datblygu Cynaliadwy (gweler, er enghraifft, Rhagweld er budd cymdeithasol; Cynghreiriad neu ddifaterwch? Rôl rhagweld wrth gyflawni nodau datblygu cynaliadwy'r Cenhedloedd Unedig; Hefyd, niwed wrth ragweld (ar y gweill) a rhwystrau wrth ddefnyddio modelau mewn gofal iechyd (ar y gweill)
2) Methodolegol, Ymchwilio i atebion methodolegol i gwestiynau am athroniaeth, theori ac ymarfer; gweler, er enghraifft, Rhagweld cyfresi amser interupted; Archwilio'r cysylltiad rhwng nodweddion cyfres amser a rhagweld trwy agregu tymhorol gan ddefnyddio dysgu peirianyddol; a Rhagolwg Galw trwy agregu dros dro.
3) Ceisiadau: cymhwyso rhagweld a modelu mewn gwyddoniaeth rheoli gofal iechyd, cadwyni cyflenwi iechyd byd-eang a dyngarol, a Nodau Datblygu Cynaliadwy'r Cenhedloedd Unedig. Gweler, er enghraifft, Rhagweld Cyfres Amser Hierarchaidd mewn Gwasanaethau Meddygol Brys; Darogan tebygolrwydd o gyrraedd adrannau brys bob awr; a dull LSTM hybrid ar gyfer rhagweld gofynion eitemau meddygol mewn gweithrediadau dyngarol.
Mae ymdrechion cydweithredol Bahman wedi rhychwantu llu o sefydliadau, gan gynnwys cyrff nodedig fel y Gwasanaeth Iechyd Gwladol (GIG), Ymddiriedolaethau Gwasanaeth Ambiwlans Cymru (WAST), Asiantaeth Datblygu 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, trwy'r prosiect darogan democrataidd a noddir gan Sefydliad Rhyngwladol y Daroganwyr.
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 13 (10.1177/27536351241237866)
- 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 62(17), pp. 6046-6063. (10.1080/00207543.2024.2306904)
- Hyndman, R. J. and Rostami-Tabar, B. 2024. Forecasting interrupted time series. Journal of the Operational Research Society (10.1080/01605682.2024.2395315)
- Rostami-Tabar, B. and Gilliland, M. 2024. Alliance or apathy? Forecasting’s role in achieving the U.N. sustainable development goals. Foresight: The International Journal of Applied Forecasting(74)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2024. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems 13(2), pp. 133-149. (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B. and Hyndman, R. J. 2024. Hierarchical time series forecasting in emergency medical services. Journal of Service Research (10.1177/10946705241232169)
- 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)
- 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 13 (10.1177/27536351241237866)
- 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 62(17), pp. 6046-6063. (10.1080/00207543.2024.2306904)
- Hyndman, R. J. and Rostami-Tabar, B. 2024. Forecasting interrupted time series. Journal of the Operational Research Society (10.1080/01605682.2024.2395315)
- Rostami-Tabar, B. and Gilliland, M. 2024. Alliance or apathy? Forecasting’s role in achieving the U.N. sustainable development goals. Foresight: The International Journal of Applied Forecasting(74)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2024. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems 13(2), pp. 133-149. (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B. and Hyndman, R. J. 2024. Hierarchical time series forecasting in emergency medical services. Journal of Service Research (10.1177/10946705241232169)
- 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)
- 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
Methodoleg:
- Ansicrwydd a'r dyfodol
- Modelu a dadansoddi
- Gwyddor Data, Dysgu Peiriant ac AI
- Darogan Probabilsitic
- Offer ar gyfer meddwl am y dyfodol
- Reserach Gweithredol
Cymwysiadau:
- Lles Cymdeithasol
- Systemau Iechyd a Gofal
- Cadwyni cyflenwi Iechyd Byd-eang ac Iechyd y Cyhoedd
- Cadwyni Cyflenwi Dyngarol
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 Diwydiannol. 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
- 2004 - 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: Darlithydd mewn Rheoli Cadwyn Gyflenwi, Ysgol Strategaeth ac Arweinyddiaeth, Prifysgol Coventry , y DU.
- 2014 - 2015: Cymrodoriaeth Ymchwil Ôl-ddoethurol, Lab Peirianneg Diwydiannol, Ecole Centrale Paris, Ffrainc.
Meysydd goruchwyliaeth
Goruchwylio PhD
Rwy'n croesawu ymholiadau gan ddarpar fyfyrwyr PhD ym meysydd
Theori a methodoleg:
- Ansicrwydd a'r dyfodol
- Gwyddoniaeth Dats, Dysgu Peiriant ac AI
- Reserach Gweithredol
- Rhagfynegiad Probabilistic
- Darogan gan Agregu (Hierarchaidd a Temporal)
Cymwysiadau:
- Systemau Gofal Iechyd
- Cadwyni cyflenwi Iechyd Byd-eang ac Iechyd y Cyhoedd
- Logisteg Dyngarol a Chadwyni Cyflenwi
- Lles Cymdeithasol
- Nodau Datblygu Cynaliadwy'r Cenhedloedd Unedig
Goruchwyliaeth gyfredol
Mingzhe Shi
Tiwtor Graddedig
Zihao Wang
Myfyriwr ymchwil
Rui Xu
Myfyriwr ymchwil
Udeshi Salgado
Myfyriwr ymchwil
Mustafa Aslan
Myfyriwr ymchwil
Prosiectau'r gorffennol
1. Dr. Diego Bermudez Bermejo, 2020-2024, Ymagwedd systemau amlffactor integreiddiol i wella gwytnwch gweithredol a chynaliadwyedd rhanddeiliaid sefydliadol taliadau manwerthu y DU, sy'n gweithio ar hyn o bryd yn Sefydliad Ellen MacArthur
Themâu ymchwil
Arbenigeddau
- Ansicrwydd
- AI & Dysgu Peiriant
- Rhagweld
- Nodau Datblygu Cynaliadwy'r Cenhedloedd Unedig a Lles Cymdeithasol
- Gweithrediadau Gofal Iechyd a Chadwyni Cyflenwi