Dr Diana Hintea BEng Hons, PgCert, PgDip, PhD, SFHEA
Deputy Head of Department
Summary
I am an experienced academic in the areas of Higher Education Internationalisation, Computing and Engineering, with significant experience in developing and managing Transnational Education (TNE) partnerships, as well as quality assurance within Higher Education. I am passionate about teaching and engaging in scholarly activities in the areas of data science and applied machine learning, as well as research in internationalisation and effective computing pedagogy.
About
I have joined Sheffield Hallam University in June 2023 as Deputy Head of the Department of Computing and I am currently managing the department's Research, Innovation and Knowledge Exchange (RIKE) portfolio, the Global Academic Partnerships (GAP) portfolio, as well as looking after staff recruitment, staff development and estate.
Prior to joining Sheffield Hallam University, as an Associate Head of School Global Engagement at Coventry University, I managed the biggest Transnational Education (TNE) portfolio within the Group and one of the biggest in the UK. I have led the development of TNE partnerships in a variety of formats from joint ventures to franchises and from validated courses to flying faculty partnerships in 14 countries. I was the academic lead in establishing new partnerships in Greece, Morocco, China and Uzbekistan.
Known for my innovative approach to work and the ability to implement future strategies, I have set up multiple academic projects across the world comprising of Collaborative Online International Learning (COIL) projects, student exchange programmes, field trips, as well as formal progression agreements with international institutions. I am an experienced panel member and external examiner for UK universities and proficient in quality and accreditation matters. I am passionate about teaching and engaging in scholarly activities in the areas of data science and applied machine learning, as well as research in internationalisation and effective computing pedagogy. I currently hold a patent in the field of Artificial Intelligence for the automotive industry.
Last, but not least, I am a strong advocate for women in STEM.
Publications
Journal articles
Brusey, J., Hintea, D., Gaura, E., & Beloe, N. (2018). Reinforcement learning-based thermal comfort control for vehicle cabins. Mechatronics, 50, 413-421. http://doi.org/10.1016/j.mechatronics.2017.04.010
Hintea, D., Bird, R., & Green, M. (2017). An investigation into the forensic implications of the Windows 10 operating system: recoverable artefacts and significant changes from Windows 8.1. International Journal of Electronic Security and Digital Forensics, 9 (4), 326. http://doi.org/10.1504/ijesdf.2017.10008013
Conference papers
Karayaneva, Y., & Hintea, D. (2018). Object recognition algorithms implemented on NAO robot for children's visual learning enhancement. Proceedings of the 2018 2nd International Conference on Mechatronics Systems and Control Engineering. http://doi.org/10.1145/3185066.3185083
Hintea, D., Sangins, A., & Bird, R. (2018). Forensic analysis of the telegram instant messenger application on android devices. European Conference on Information Warfare and Security, ECCWS, 2018-June, 217-223.
Pavel, A., Palade, V., Iqbal, R., & Hintea, D. (2017). Using Short URLs in Tweets to Improve Twitter Opinion Mining. 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). http://doi.org/10.1109/icmla.2017.00-28
Bird, B., Hintea, D., & Pannu, M. (2017). Professionalising the science of digital forensics: Policy logging and auditable record keeping as a life-long record. European Conference on Information Warfare and Security, ECCWS, 0, 44-52.
Hintea, D., Bird, R., & Moss, J. (2017). An investigation into identifying password recovery and data retrieval in the android operating system. European Conference on Information Warfare and Security, ECCWS, 0, 165-171.
Wautelet, Y., Heng, S., Hintea, D., Kolp, M., & Poelmans, S. (2016). Bridging User Story Sets with the Use Case Model. In Lecture Notes in Computer Science, (pp. 127-138). Springer International Publishing: http://doi.org/10.1007/978-3-319-47717-6_11
Hintea, D., Brusey, J., & Gaura, E. (2015). A Study on Several Machine Learning Methods for Estimating Cabin Occupant Equivalent Temperature. Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics. http://doi.org/10.5220/0005573606290634
Hintea, D., Kemp, J., Brusey, J., Gaura, E., & Beloe, N. (2014). Applicability of Thermal Comfort Models to Car Cabin Environments. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics. http://doi.org/10.5220/0005101707690776
Hintea, D., Brusey, J., Gaura, E., Kemp, J., & Beloe, N. (2013). Comfort in cars: Estimating Equivalent Temperature for comfort driven Heating, Ventilation and Air Conditioning (HVAC) control. ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, 1, 507-513.
Hintea, D., Brusey, J., Gaura, E., Beloe, N., & Bridge, D. (2011). Mutual Information-Based Sensor Positioning for Car Cabin Comfort Control. In Knowledge-Based and Intelligent Information and Engineering Systems, (pp. 483-492). Springer Berlin Heidelberg: http://doi.org/10.1007/978-3-642-23854-3_51