Dr Hongwei Zhang

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  4. Hongwei Zhang

Dr Hongwei Zhang BEng, MSc, PhD, CEng, MIET, FHEA

Co-Director (Academic), Advanced Food Innovation Centre (formerly NCEFE)

Summary

I am a Chartered Engineer, an active researcher, and an experienced academic leader with extensive expertise in advanced control, condition monitoring of complex processes, sustainable food processing, industrial automation, robotics systems, and the integration of AI and digital technologies into practical applications. Since joining Sheffield Hallam University in 2007, I have held several key leadership roles, including Deputy Head and Interim Head of the Department of Engineering and Mathematics. Currently, as Co-Director (Academic) at the Advanced Food Innovation Centre (AFIC), I am dedicated to driving research excellence and developing innovative solutions for the food and drink industry.

Hongwei Zhang

About

I obtained my BEng in Automatic Control, MSc in Control Engineering, and first PhD in Aerospace Engineering from Harbin Institute of Technology, China, followed by a second PhD in Control Engineering from the University of Manchester.

Since joining Sheffield Hallam University in 2007, I have held several key leadership roles, including Deputy Head and Interim Head of the Department of Engineering and Mathematics, and I currently serve as the Co-Director (Academic) at the Advanced Food Innovation Centre (AFIC), formerly known as the National Centre of Excellence for Food Engineering (NCEFE).

I am a Chartered Engineer and a Fellow of the Higher Education Academy. My career is distinguished by a deep commitment to academic leadership and pioneering research, with a focus on advanced control systems, condition monitoring, sustainable food processing, industrial automation, robotics, and integrating AI and digital technologies. In my role at AFIC, I lead initiatives to promote research excellence and develop innovative solutions that significantly enhance the sustainability and efficiency of the food and drink industry, effectively bridging the gap between academia and industry applications.

Areas of Interest:
- Advanced Process Control
- Condition Monitoring
- Industrial Automation and Robotics
- Industry 4.0
- Artificial Intelligence

Teaching

School of Engineering and Built Environment

College of Business, Technology and Engineering

Power, Electrical and Control Engineering Subject Group

MSc Automation, Control and Robotics
BEng/MEng (Hons) Electrical and Electronic Engineering

Control of Linear Systems
Control Systems and Their Applications

Research

Current Projects

  1. Advanced Continuous Flow Ohmic Heating for Solid-Liquid Foods: Balancing Quality, Safety, Sustainability, and Intelligent Process Control, Funder: Innovate UK, 2023-2025, PI, Total Funding: £325K.
  2. Delivering Sustainable Food Systems in Theme 2 'Food Systems & Environmental Restoration' of the South Yorkshire Sustainability Centre (SYSC), Funder: Research England, 2022-2026, PI (SHU), Total Funding: £747K.
  3. Ohmic Heating Net-Zero Solution Enhancement (SYSC Strategic Capital Funds), Funder: Research England, 2023-2024, PI, Total Funding: £54K.
  4. Knowledge Transfer Partnership (KTP) with Penny Hydraulics Limited, Funder: Innovate UK, 2024-2026, Lead Academic, Total Funding: £206K.
  5. NEXTGen Rice Integrity: AI-Driven Milling Control and Quality Assurance, Funder: Innovate UK, 2024-2025, Co-I, Total Funding: £50K.
  6. Darnall Community Playground Garden Project, Funder: SHU Research and Innovation Fund, 2023-2024, Co-I, Total Funding: £50K.

Selection of Past Funded Projects

  1. Improving sustainability in food processing using Moderate Electric Fields (MEF) for process intensification and smart processing (MEFPROC), Funder: SUSFOOD2 - A Horizon 2020 ERA-NET Cofund, 2018 – 2022, PI for UK/SHU, Total Funding: €1.353M (with £100K to SHU).
  2. Driving the electric revolution – building talent for the future, Funder: Innovate UK, 2022, Co-I, Total Funding: £25K.
  3. Smart Power and Energy Management, Funder: SETsquared: ICURe (Innovation to Commercialisation of University Research programme), 2022, PI, Total Funding: £12.5K.
  4. Optimal Flexibility Resource Management - Generating Optimal Flexibility Exchange Strategies to Enable High Renewable, Net Zero Electrical networks and Energy Cost Reduction, Funder: ICURe (Innovation to Commercialisation of University Research programme) Sprint: Energy & Environment Technologies, 2021, PI, Total Funding: £19.5K.
  5. Development of embedded bespoke manufacturing processes to produce high volumes of high value advanced food products, Funder: KTP with World Feeds Ltd, 2017 – 2019, PI as Academic Supervisor, Total Funding: £133K.
  6. Effective milk processing with variable composition, Funder: Innovate UK, 2015 – 2018, Co-I, Total Funding: approx. £784K (with approx. £300K to SHU).

Collaborators and Sponsors

  • Innovate UK
  • Research England
  • South Yorkshire Sustainability Centre (SYSC)
  • DEFRA
  • Premier Foods
  • Koolmill
  • Ohm-E Technology
  • Nestlé UK & Ireland
  • World Feeds Ltd
  • United Utilities
  • Festo Didactic

Publications

Journal articles

Portsmouth, B., Shenfield, A., Zhang, H., Johnston, A., & Limb, J. (2024). Artificial Intelligence and the food sector: a golden opportunity for growth. Food Science and Technology, 38 (4), 32-35. http://doi.org/10.1002/fsat.3804_8.x

Cui, X., Adebayo, D., Zhang, H., Howarth, M., Anderson, A., Olopade, T., ... Farooq, S. (2024). Simulation of granular flows and machine learning in food processing. Frontiers in Food Science and Technology, 4. http://doi.org/10.3389/frfst.2024.1491396

Nikzadfar, M., Rashvand, M., Zhang, H., Shenfield, A., Genovese, F., Altieri, G., ... Di Renzo, G.C. (2024). Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety. Applied Sciences, 14 (21). http://doi.org/10.3390/app14219821

Javed, T., Oluwole-Ojo, O.N., Howarth, M., Xu, X., Rashvand, M., & Zhang, H. (2024). Application of Advanced Process Control to a Continuous Flow Ohmic Heater: A Case Study with Tomato Basil Sauce. Applied Sciences, 14 (19). http://doi.org/10.3390/app14198740

Javed, T., Oluwole-ojo, O., Zhang, H., Akmal, M., Breikin, T., & O’Brien, A. (2024). System Design, Modelling, Energy Analysis, and Industrial Applications of Ohmic Heating Technology. Food and Bioprocess Technology. http://doi.org/10.1007/s11947-024-03568-w

Rashvand, M., Nadimi, M., Paliwal, J., Zhang, H., & Feyissa, A.H. (2024). Effect of Pulsed Electric Field on the Drying Kinetics of Apple Slices during Vacuum-Assisted Microwave Drying: Experimental, Mathematical and Computational Intelligence Approaches. Applied Sciences, 14 (17). http://doi.org/10.3390/app14177861

Oluwole-Ojo, O.N., Javed, T., Howarth, M., Xu, X., O’Brien, A., & Zhang, H. (2024). Model Validation and Real-Time Process Control of a Continuous Flow Ohmic Heater. Modelling, 5 (3), 752-775. http://doi.org/10.3390/modelling5030040

O’Brien, A., Zhang, H., Allwood, D.M., & Rawsthorne, A. (2024). From data to draught: Modelling and predicting mixed-culture beer fermentation dynamics using autoregressive recurrent neural networks. Modelling, 5 (1), 201-222. http://doi.org/10.3390/modelling5010011

Oluwole-Ojo, O.N., Zhang, H., Howarth, M., & Xu, X. (2023). Energy Consumption Analysis of a Continuous Flow Ohmic Heater with Advanced Process Controls. Energies, 16 (2). http://doi.org/10.3390/en16020868

Meng, Q., Zhang, H., & Howarth, M. (2022). Comparison between Real-Time Auto-Tuning PID and Conventional PID Controller for a Dairy Industrial Evaporation Process. International Journal of Modelling, Identification and Control, 40 (1), 27-35. http://doi.org/10.1504/IJMIC.2022.10048796

Ding, Y., Chen, Z., Zhang, H., Wang, X., & Guo, Y. (2022). A short-term wind power prediction model based on CEEMD and WOA-KELM. Renewable Energy, 189, 188-198. http://doi.org/10.1016/j.renene.2022.02.108

Kokkrathoke, S., Rawsthorne, A., Zhang, H., & Xu, X. (2022). Nonlinear Optimal Stabilising Control of a Two-wheel Robot. International Journal of Modelling, Identification and Control, 38 (2), 175-189. http://doi.org/10.1504/IJMIC.2021.122501

Oluwole-Ojo, O., Zhang, H., Howarth, M., & Xu, X. (2021). Model based design and validation of a batch ohmic heating system. Modelling, 2 (4), 641-658. http://doi.org/10.3390/modelling2040034

Zhang, H., Mohamed, A., Breikin, T., & Howarth, M. (2021). Modelling and Simulation of an Ohmic Heating Process. Open Journal of Modelling and Simulation, 9 (1), 26-42. http://doi.org/10.4236/ojmsi.2021.91002

Saleh, I., Ali, R., & Zhang, H. (2018). Experimental testing and validation of the mathematical model for a self-humidifying PEM fuel cell. Journal of Materials Science and Chemical Engineering, 6 (4), 202-218. http://doi.org/10.4236/msce.2018.64019

Saleh, I.M., Ali, R., & Zhang, H. (2018). Environmental Impact of High Altitudes on the Operation of PEM Fuel Cell Based UAS. Energy and Power Engineering, 10 (03), 87-105. http://doi.org/10.4236/epe.2018.103007

Ding, Y., Zhu, C., & Zhang, H. (2017). A type of distribution control method for nonlinear stochastic systems. Paiguan Jixie Gongcheng Xuebao/Journal of Drainage and Irrigation Machinery Engineering, 35 (9), 774-779. http://doi.org/10.3969/j.issn.1674-8530.17.0063

Saleh, I.M.M., Ali, R., & Zhang, H. (2016). Simplified mathematical model of proton exchange membrane fuel cell based on horizon fuel cell stack. Journal of Modern Power Systems and Clean Energy, 4 (4), 668-679. http://doi.org/10.1007/s40565-016-0196-5

Zhang, H. (2008). Optimal control of a fed-batch yeast fermentation process based on Least Square Support Vector Machine. International Journal of Engineering Systems Modelling and Simulation, 1 (1), 63-68. http://doi.org/10.1504/IJESMS.2008.018850

Zhang, H., Klaveness, B., & Vagapov, Y. (2006). Least square support vector machine based soft-sensing for fed-batch yeast fermentation - A comparative study. World Journal of Engineering, 3 (4), 1-8.

Zhang, H., Lian, Z., Yan, K., Sun, Y., Yuan, J., & Zhang, Z. (2006). Decision support for choice optimal power generation projects: Fuzzy comprehensive evaluation model based on the electricity market. Energy Policy, 34 (17), 3359-3364. http://doi.org/10.1016/j.enpol.2005.06.021

Lennox, B., Zhang, H., Lovett, D., & Sandoz, D. (2004). An integrated approach to advanced process control and condition monitoring. Computing and Control Engineering Journal, 15 (1), 32-37.

Zhang, H., & Lennox, B. (2004). Integrated condition monitoring and control of fed-batch fermentation processes. Journal of Process Control, 14 (1), 41-50. http://doi.org/10.1016/S0959-1524(03)00044-1

Zhang, H., & Lennox, B. (2003). Multi-way optimal control of a benchmark fed-batch fermentation process. Transactions of the Institute of Measurement and Control, 25 (5), 403-417. http://doi.org/10.1191/0142331203tm0100oa

Zhang, H., Lennox, B., Goulding, P.R., & Leung, A.Y.T. (2000). A float-encoded genetic algorithm technique for integrated optimization of piezoelectric actuator and sensor placement and feedback gains. Smart Materials and Structures, 9 (4), 552-557. http://doi.org/10.1088/0964-1726/9/4/319

Saad, S., BAHADORI, R., Bhovar, C., & Zhang, H. (n.d.). Industry 4.0 and Lean Manufacturing - A systematic review of the state of the art literature and key recommendations for future research. International Journal of Lean Six Sigma. http://doi.org/10.1108/ijlss-02-2022-0021

Conference papers

Yubonbanditkun, P., Tristano, M., Righetti, G., Zhang, H., Lenzo, B., & Xu, X. (2024). Nonlinear Concurrent Control of Yaw and Lateral Dynamics of Electric Vehicles. In Lecture Notes in Mechanical Engineering, (pp. 643-652). Springer Nature Switzerland: http://doi.org/10.1007/978-3-031-66968-2_63

Saad, S.M., Ubeywarna, D., & Zhang, H. (2024). Supply Network Risk Mitigation-Industry 4.0 Approach. Procedia Computer Science, 232, 3206-3215. http://doi.org/10.1016/j.procs.2024.02.136

Saad, S., Ubeywarna, D., & Zhang, H. (2023). Key Factors Influence the Reconfiguration of Supply Chain Design: A Review Paper. Advances in Transdisciplinary Engineering, 132-137. http://doi.org/10.3233/atde230913

Saad, S.M., Bahadori, R., Zhang, H., & Albaqami, A. (2021). Technology Roadmapping Application in Smart City's Development. In ICMR2021: 18th International Conference on Manufacturing Research, Virtual, 7 September 2021 - 9 September 2021 (pp. 368-373). IOS Press: http://doi.org/10.3233/ATDE210063

Saad, S., Bhovar, C., Bahadori, R., & Zhang, H. (2021). Industry 4.0 Application in Lean Manufacturing- A Systematic Review. In ICMR2021: 18th International Conference on Manufacturing Research, University of Derby, UK, 7 September 2021 - 9 September 2021 (pp. 341-346). IOS press: http://doi.org/10.3233/ATDE210059

Meng, Q., Zhang, H., & Howarth, M. (2019). Performances Comparison between Real-Time Auto-Tuning PID and Conventional PID Controller for a Dairy Industrial Evaporation Process Control. 2019 International Conference on Artificial Intelligence, Control and Automation Engineering (AICAE 2019). http://doi.org/10.12783/dtcse/aicae2019/31462

Haire, M., Xu, X., Alboul, L., Penders, J., & Zhang, H. (2019). Ship Hull Repair Using A Swarm Of Autonomous Underwater Robots: A Self-Assembly Algorithm. ECMR 2019 (European Conference on Mobile Robotics). http://doi.org/10.1109/ECMR.2019.8870910

Haire, M., Xu, X., Alboul, L., Penders, J., & Zhang, H. (2019). Ship hull inspection using a swarm of autonomous underwater robots: a Search algorithm. 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). http://doi.org/10.1109/SSRR.2019.8848963

Kalashnikov, A., Zhang, H., & Abramiuk, M. (2018). Automated recording and processing of lecture attendance data using RFID student cards. PROCEEDINGS OF THE VI INTERNATIONAL SCIENTIFIC CONFERENCE ADVANCED INFORMATION SYSTEMS AND TECHNOLOGIES AIST-2018, 81-84.

Kalashnikov, A., Zhang, H., Jennings, J., & Abramriuk, M.-.M. (2017). Remote laboratory: using Internet-of-Things (IoT) for E-learning. In Comparison of the responsiveness of ultrasonic oscillating temperature sensors (UOTSes) and conventional sensors to temperature inflection points, (pp. 43-46). Springer: http://aist.sumdu.edu.ua/main/

Butler, D., & Zhang, H. (2012). Intelligent software sensors and process prediction for glass container forming processes based on multivariate statistical process control techniques. In Proceedings of 2012 UKACC International Conference on Control, (pp. 281-285). IEEE: http://doi.org/10.1109/CONTROL.2012.6334643

Zhang, H., Zhang, Z., & Lan, L.H. (2010). Evolutionary optimization of a fed-batch penicillin fermentation process. In 2010 International Symposium on Computer, Communication, Control and Automation, Tainan, 5 May 2010 - 7 May 2010 (pp. 403). http://doi.org/10.1109/3CA.2010.5533789

Lan, L.H., & Zhang, H. (2010). Frequency domain criteria for lp-robust stability of systems with fuzzy parameters. In 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010, Tainan, 5 May 2010 - 7 May 2010 (pp. 318). http://doi.org/10.1109/3CA.2010.5533820

Zhang, H. (2008). Intelligent software sensors for fed-batch fermentation processes. In Proceedings of the UKACC International Conference on Control 2008. University of Manchester: https://ukacc.group.shef.ac.uk/proceedings/control2008/Proceedings.html

Zhang, H., & Vagapov, Y. (2006). LS-SVM Based Software Sensor for Fed-batch Yeast Fermentation and Comparative Studies. In 2006 IEEE International Conference on Electro/Information Technology, (pp. 564-568). IEEE: http://doi.org/10.1109/EIT.2006.252204

Belloc, C., Zhang, H., Vagapov, Y., & Moreno, P. (2006). A Step Voltage Response Method for Identification of Induction Motor Parameters at Stand Still. In 2006 IEEE International Conference on Electro/Information Technology, (pp. 109-112). IEEE: http://doi.org/10.1109/EIT.2006.252171

Katawaluwa, M., Zhang, H., Vagapov, Y., & Evans, J. (2006). Simulation of Wind Heat Generator. In 2006 IEEE International Conference on Electro/Information Technology, (pp. 479-482). IEEE: http://doi.org/10.1109/EIT.2006.252138

Zhang, H., Zouaoui, Z., & Lennox, B. (2005). A COMPARATIVE STUDY OF SOFT-SENSING METHODS FOR FED-BATCH FERMENTATION PROCESSES. IFAC Proceedings Volumes, 38 (1), 55-60. http://doi.org/10.3182/20050703-6-CZ-1902.02213

Zhang, H., & Lennox, B. (2003). Fault detection and isolation in a FED-batch penicillin fermentation process. 2003 European Control Conference (ECC), 1670-1675. http://doi.org/10.23919/ecc.2003.7085204

Zhang, H., Lennox, B., Goulding, P.R., & Wang, Y. (2002). ADAPTIVE INFORMATION SHARING FACTORS IN FEDERATED KALMAN FILTERING. IFAC Proceedings Volumes, 35 (1), 79-84. http://doi.org/10.3182/20020721-6-es-1901.00666

Book chapters

Xu, X., Zhang, H., & Carbone, G. (2017). Case studies on nonlinear control theory of the inverted pendulum. In Boubaker, O., & Iriarte, R. (Eds.) The inverted pendulum in control theory and robotics. From theory to new innovations. (pp. 225-262). London: IET: http://doi.org/10.1049/PBCE111E_ch

Zhang, H. (2009). Software Sensors and Their Applications in Bioprocess. In Nicoletti, M.D.C., & Jain, L.C. (Eds.) Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control. (pp. 25-56). Springer-Verlag: http://doi.org/10.1007/978-3-642-01888-6_2

Reports

Smith, D., Woodroofe, N., Little, L., Slay, O., Handforth, R., Beckingham, S., ... Ludwig, F. (2019). Research Informed Teaching a Post Graduate perspective. Sheffield Hallam University.

Zhang, H., Saad, S., & Jon, M. (2018). Harnessing Brexit, Technology and Insight - British manufacturers; maintaining a competitive edge in an age of uncertainty & opportunity. Sheffield Hallam University and SSG Insight.

Theses / Dissertations

Alblooshi, K.M. (2024). Integrated Defence Manufacturing Ecosystem Approach for the UAE (IDEA-UAE). (Doctoral thesis). Supervised by Zhang, H. http://doi.org/10.7190/shu-thesis-00640

Alhashmi, S.H.M.F. (2024). Framework for Improving Strategic Competitiveness of Container Ports in the UAE. (Doctoral thesis). Supervised by Zhang, H. http://doi.org/10.7190/shu-thesis-00647

Oluwole-Ojo, O. (2023). Modelling, control and analysis of moderate electric field in food processing. (Doctoral thesis). Supervised by Zhang, H. http://doi.org/10.7190/shu-thesis-00565

Alshamsi, O.M.A. (2022). Framework for embedding industry 4.0 in UAE emergency management. (Doctoral thesis). Supervised by Zhang, H. http://doi.org/10.7190/shu-thesis-00445

Mestiyage Don, R. (2021). Framework for Embedding Optimisation and Simulation Tools in Supply Chain Management. (Doctoral thesis). Supervised by Zhang, H., & Perera, T. http://doi.org/10.7190/shu-thesis-00474

Haire, M.S. (2021). Search and restore: a study of cooperative multi-robot systems. (Doctoral thesis). Supervised by Xu, X. http://doi.org/10.7190/shu-thesis-00395

Meng, Q. (2020). Advanced Process Control with Applications in the Food Industry. (Doctoral thesis). Supervised by Zhang, H., & Halliday, I. http://doi.org/10.7190/shu-thesis-00374

Po-Lynn, E. (2019). Framework for Managing an Efficient and Effective Pharmaceutical Supply Chain in Malaysia. (Doctoral thesis). Supervised by Perera, T. http://doi.org/10.7190/shu-thesis-00287

Elberegli, M.A. (2018). An integrated framework for improving supply chain performance. (Doctoral thesis). Supervised by Perera, T. http://doi.org/10.7190/shu-thesis-00110

Bahadori, R. (2018). Development of a framework for configuring fractal supply networks and logistics capabilities. (Doctoral thesis). Supervised by Saad, S. http://doi.org/10.7190/shu-thesis-00116

Khamkham, M. (2017). Development of an integrated quality management Framework for manufacturing organisations. (Doctoral thesis). Supervised by Saad, S. http://doi.org/10.7190/shu-thesis-00015

Elsaghier, E.H. (2017). Planning and optimising of petroleum industry supply chain and logistics under uncertainty. (Doctoral thesis). Supervised by Saad, S. http://doi.org/10.7190/shu-thesis-00052

Mohamed, A.M.A. (2016). An integrated framework for maintenance optimisation with petroleum industry. (Doctoral thesis). Supervised by Saad, S.

Salah, I.M.M. (2015). Modelling, simulation and performance evaluation: PEM fuel cells for high altitude UAS. (Doctoral thesis). Supervised by Ali, R., & Zhang, H.

Al Afifi, M.N.A. (2015). Leadership best practice for sustaining business excellence in innovative organisations. (Doctoral thesis). Supervised by Saad, S.

Presentations

Zhang, H., Oluwole-Ojo, O.N., Howarth, M., & Xu, X. (2022). Implementation of advanced real-time process control on a continuous flow ohmic heater. Presented at: The 15th Conference of Food Engineering, Raleigh, North Carolina, USA, 2022

Zhang, H., Oluwole-Ojo, O.N., Howarth, M., & Xu, X. (2022). Implementation of advanced real-time process control on a continuous flow ohmic heater. Presented at: The 15th Conference of Food Engineering, Raleigh, North Carolina, USA, 2022

Other activities

IET Academic Accreditor

Member-at-Large, Executive Committee, Society of Food Engineering (SoFE)

Editorial Board Member and Guest Editor:

  • Editorial Board Member, CABI Food Science and Nutrition Cases
  • Editorial Board Member, International Journal of Modelling, Identification and Control
  • Editorial Board Member, International Journal of Engineering Systems Modelling and Simulation
  • Guest Editor, Processes for the special issue "Machine Learning-Based Intelligent Industry 4.0 Control Systems for Manufacturing"
  • Guest Editor, Frontiers in Food Science and Technology for the special issue "Modelling and Simulation of Novel Food Processing Technologies"
  • Guest Editor, Energies for the special issues "Digital Twins, Industry 4.0 and Energy Management" and "Internet of Things, Edge Computing, and Artificial Intelligence for Smart Grid"

Reviewer:

  • Reviewer, IEEE Transactions on Control Systems Technology, Journal of Process Control, Neurocomputing, Chemical Engineering Science, International Journal of Systems Science, MDPI journals
  • Reviewer for Grants and Fellowships for EPSRC, Innovate UK
  • Book Reviewer, Pearson, Newnes, Routledge

Postgraduate supervision

I have a successful track record in PhD supervision, having supervised/co-supervised 19 PhD students to completion and currently overseeing 9 PhD students and 1 MPhil student, serving as Director of Studies (DoS) for 4 of these PhD students. My current students are listed below:

  • Alexander O’Brien - Advanced Real-Time Control and Optimisation of Mixed-Culture Beer Fermentation
  • Tasmiyah Javed - Model-Based Control and Optimisation of MEF Electrified Processing to Decarbonise Food Manufacturing
  • Benjamin Maduka Ilo - Application of AI and Industry 4.0 Technologies for Fault Detection and Diagnosis
  • Leo Pappukutty Luke - From Laboratory to Industrial Scale - Model-Based MEF Processing to Decarbonise Food Manufacturing
  • Olamilekan Saheed Shobayo - Artificial Intelligence Techniques Development for Infra-Red Imaging Based Bone Fracture Screening
  • Dasunika Madhuhansi Ubeywarna - Dynamic Reconfiguration of the Supply Chain for Risk Management in the Digital Era
  • Somayeh Hatami - Development of a Sustainable Supply Chain Model within the Food Industry Regarding Outsourcing Performance Measures
  • Parichat Yubonbanditkun - Nonlinear Optimal Control of Yaw and Lateral Dynamics of Electric Vehicles
  • Syed Haseeb Haider Zaidi - Machine Learning for Fault and Anomaly Detection in Food and Drink Manufacturing
  • Dan Rippon - Development of Inline Sampling Techniques for Quality Assessment in Rice Milling

Additionally, I am line managing the following researchers:

  • Dr Mahdi Rashvand
  • Aida Daei
  • Donya Asgharzadeh

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