Martin Howarth is Director of the NCEFE at Sheffield Hallam University. The NCEFE is a hub for collaboration between the food and drink industry and academia, developing innovative engineering solutions for the industry and supporting the development of critical skills, which are currently in short supply. The NCEFE aims to help realise the food and drink industry's and Government's ambitious visions for growth in the UK and address the urgent challenges the industry faces. The NCEFE is supported by £6.9m from HEFCE and £2.8m from ERDF, the Food and Drink Federation, the National Skills Academy for Food and Drink, and many key companies, from multi-nationals to SMEs, working in the sector.
Martin has a PhD in Robotics from Nottingham Trent University and is a member of the Institution of Engineering and Technology (IET) and a Chartered Engineer. Previously, Martin was Head of Department of Engineering and Mathematics at Sheffield Hallam University where he was responsible for leading the strategic development of Engineering and Mathematics in the College of Business, Technology and Engineering, as well as for overseeing the delivery of excellent education in these disciplines. He was responsible for managing 85 academic staff across a range of disciplines from Mechanical Engineering, Electrical and Electronic Engineering and Mathematics.
- Robotics and Automation
- Manufacturing Processes
- Industrial Projects
- National Centre of Excellence for Food Engineering
- Materials and Engineering Research Institute
Research and technology transfer work led by Martin at the NCEFE includes a focus on improving sustainability and reducing waste in the food and drink sector, and assisting manufacturers with efficient food processing techniques. Recent projects address the health agenda through the reduction of the salt and fat content of food, sustainability through novel processing techniques to increase yield and quality, and new control techniques to increase the availability of autonomous systems.
Over recent years, Martin has led and supported EU, EPSRC and Innovate UK projects and has contributed to the Knowledge Transfer Partnership programme within engineering at Sheffield Hallam University. Martin has authored and refereed technical publications in manufacturing, automation and robotics in a range of industrial sectors.
Shenfield, A., & Howarth, M. (2020). A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. Sensors, 20 (18), e5112. http://doi.org/10.3390/s20185112
Paximada, P., Howarth, M., & Dubey, B. (2020). Double emulsions fortified with plant and milk proteins as fat replacers in cheese. Journal of Food Engineering, 288, 110229. http://doi.org/10.1016/j.jfoodeng.2020.110229
Karim, A., Islam, M.A., Mohammad Faizal, C.K., Yousuf, A., Howarth, M., Dubey, B., ... Rahman Khan, M.M. (2018). Enhanced biohydrogen production from citrus wastewater using anaerobic sludge pretreated by an electroporation technique. Industrial & engineering chemistry research, 58 (2), 573-580. http://doi.org/10.1021/acs.iecr.8b03586
Dubey, B., Howarth, M., & Paximada, P. (2018). Electrosprayed particles derived from nano-emulsions as carriers of fish oil. TechConnect Briefs, 3 (3), 1-4. https://briefs.techconnect.org/papers/electrosprayed-particles-derived-from-nano-emulsions-as-carriers-of-fish-oil/
Lopez-Juarez, I., Rios-Cabrera, R., Hsieh, S.J., & Howarth, M. (2017). A hybrid non-invasive method for internal/external quality assessment of potatoes. European Food Research and Technology, 244 (1), 161-174. http://doi.org/10.1007/s00217-017-2936-9
Lockwood, A.J., Wedekind, J., Gay, R.S., Bobji, M.S., Amavasai, B., Howarth, M., ... Inkson, B.J. (2010). Advanced transmission electron microscope triboprobe with automated closed-loop nanopositioning. Measurement Science and Technology, 21 (7), 075901.
Hovsepian, P., Luo, Q., Robinson, G., Pittman, M., Howarth, M., Doerwald, D., ... Zeus, T. (2005). TiAlN/VN superlattice structured PVD coatings: A new alternative in machining of aluminium alloys for aerospace and automotive components. Surface and Coatings Technology, 201 (1-2), 265-272. http://doi.org/10.1016/j.surfcoat.2005.11.106
Hovsepian, P., Luo, Q., Robinson, G., Pittman, M., Howarth, M., Doerwald, D., ... Zeus, T. (2005). TiAIN superlattice structured PVD coatings: a new alternative in the machining of aluminium alloys for aerospace and automotive components. Surface and coatings technology, 201 (1-2), 265-272. http://doi.org/10.1016/j.surfcoat.2005.11.106
Luo, Q., Robinson, G., Pittman, M., Howarth, M., Sim, W.M., Stalley, M.R., ... Hovsepian, P. (2005). Performance of nano-structured multilayer PVD coating TiAlN/VN in dry high speed milling of aerospace aluminium 7010-T7651. Surface and Coatings Technology, 200, 123-127. http://doi.org/10.1016/j.surfcoat.2005.02.017
Lopez-Juarez, I., & Howarth, M. (2002). Knowledge acquisition and learning in unstructured robotic assembly environments. Information Sciences, 145 (1-2), 89-111. http://doi.org/10.1016/S0020-0255(02)00225-6
Lopez-Juarez, I., & Howarth, M. (2000). Learning manipulative skills with ART. IEEE International Conference on Intelligent Robots and Systems, 1, 578-583. http://doi.org/10.1109/IROS.2000.894666
Lotfi, A., Howarth, M., & Hull, J.B. (2000). Orthogonal fuzzy rule-based systems: Selection of optimum rules. Neural Computing and Applications, 9 (1), 4-10. http://doi.org/10.1007/s005210070029
Mitchell, M., Howarth, M., & Gentle, C.R. (1998). Production and evaluation of textured polymer sheets as optical pressure-sensing interfaces. Journal of Materials Processing Technology, 300 (3-4), 129-133. http://doi.org/10.1016/s0924-0136(97)00410-x
Lotfi, A., & Howarth, M. (1998). Industrial application of fuzzy systems: Adaptive fuzzy control of solder paste stencil printing. Information Sciences, 107 (1-4), 273-285. http://doi.org/10.1016/s0020-0255(97)10053-6
Lotfi, A., & Howarth, M. (1997). Noninteractive fuzzy rule-based systems. Information Sciences, 99 (3-4), 219-234. http://doi.org/10.1016/S0020-0255(96)00271-X
Lotfi, A., & Howarth, M. (1997). Experimental design with fuzzy levels. Journal of Intelligent Manufacturing, 8 (6), 525-532. http://doi.org/10.1023/A:1018582921530
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
Mukherjee, S., Asthana, A., Howarth, M., Mcneill, R., & Frisby, B. (2019). Achieving operational excellence for industrial baking ovens. Energy Procedia, 161, 395-402. http://doi.org/10.1016/j.egypro.2019.02.100
Mukherjee, S., Asthana, A., & Howarth, M. (2016). Waste Heat Recovery in Food and Drinks Industry (Abstract only). Journal of Food Process Technology, 7 (12). http://doi.org/10.4172/2157-7110.C1.056
Lockwood, A.J., Wedekind, J., Gay, R.S., Wang, J.J., Bobji, M.S., Amavasai, B., ... Inkson, B.J. (2011). NanoLAB triboprobe: Characterizing dynamic wear, friction and fatigue at the nanoscale. Materials Research Society Symposium Proceedings, 1297, 65-70. http://doi.org/10.1557/opl.2011.596
Brignone, L., & Howarth, M. (2003). ART-R: A novel reinforcement learning algorithm using an art module for state representation. Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, 2003-January, 829-838. http://doi.org/10.1109/NNSP.2003.1318082
Brignone, L.M., & Howarth, M. (2002). A geometrically validated approach to autonomous robotic assembly. IEEE International Conference on Intelligent Robots and Systems, 2, 1626-1631.
Chmielarczyk, P., Howarth, M., & Brignone, L. (2001). Learning manipulative skills using an ANN approach based on sensorial and descriptive information sources. ADVANCES IN MANUFACTURING TECHNOLOGY-XVI, 509-513.
Brignone, L., Sivayoganathan, K., Balendran, V., & Howarth, M. (2001). Contact localisation: A novel approach to intelligent robotic assembly. Proceedings of the International Joint Conference on Neural Networks, 3, 2182-2187.
Lopez-Juarez, I., & Howarth, M. (2000). Force control in robotic assembly under extreme uncertainty using ANN. IECON Proceedings (Industrial Electronics Conference), 1, 590-595. http://doi.org/10.1109/IECON.2000.973216
Howarth, M., Silvester, S.A., Lacey, M., & Sivaygonathan, K. (1999). Investigation into the printing characteristics and mechanical dynamics of advanced squeegee mechanisms. Proceedings of the IEEE/CPMT International Electronics Manufacturing Technology (IEMT) Symposium, 178-184.
Howarth, M., & Lotfi, A. (1999). Adaptive fuzzy control of solder paste printing: The identification of deposit defects. Proceedings of the IEEE/CPMT International Electronics Manufacturing Technology (IEMT) Symposium, 102-107.
Lopez-Juarez, I., Howarth, M., & Sivayoganathan, K. (1998). Adaptive learning approach to control contact force in assembly. IEEE International Conference on Intelligent Robots and Systems, 3, 1443-1448.
Lotfi, A., & Howarth, M. (1998). An intelligent closed-loop control of solder paste stencil printing. Proceedings of the IEEE/CPMT International Electronics Manufacturing Technology (IEMT) Symposium, 87-91. http://doi.org/10.1109/IEMT.1998.731039
Lotfi, A., Howarth, M., & Thomas, P.D. (1997). Orthogonal fuzzy model of the solder paste printing stage of surface mount technology. IEEE International Conference on Fuzzy Systems, 3, 1433-1437.
Howarth, M., Sivayoganathan, K., Thomas, P.D., & Gentle, C.R. (1995). Robotic task level programming using neural networks. IEE Conference Publication, (409), 262-267. http://doi.org/10.1049/cp:19950565
Theses / Dissertations
Wedekind, J. (2012). Efficient implementations of machine vision algorithms using a dynamically typed programming language. (Doctoral thesis). Supervised by Dutton, K., Penders, J., & Howarth, M.
Chmielarczyk, P. (2006). Learning manipulative skills using an artificial intelligence approach. (Doctoral thesis). Supervised by Howarth, M.