International Journal Publications
Kukreja, A., Cox, C., Gopsill, J., Snider, C. 2026. “From Imprecision to Precision in Virtual Reality: A Machine Learning Approach to Parametric CAD Modelling.” Journal of Engineering Design 0 (0): 1–28. https://doi.org/10.1080/09544828.2026.2616581
Mathias, D., Snider, C., Kukreja, A., Hicks, B., 2025, “Establishing and evaluating strategies for mixed media hybrid prototyping using Lego and additive manufacturing,” Design Studies, 11: 44 https://doi.org/10.1017/dsj.2025.10036
Shinde, S.L., Kukreja, A. and Pande, S.S., 2024, “Defeaturing of CAD models using machine learning”, Journal of Advanced Manufacturing Systems, 23(3), pp. 531-547 https://doi.org/10.1142/S0219686724500227
Kukreja, A., Pande, S. S., 2023, “Optimal Toolpath Planning Strategy Prediction Using Machine Learning Technique,” Engineering Applications of Artificial Intelligence, 123(C), pp. 106464. https://doi.org/10.1016/j.engappai.2023.106464
Kukreja, A., and Pande, S. S., 2023, “An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer-Aided Design Model,” ASME J. Comput. Inf. Sci. Eng., 23(3), pp. 1-40. https://doi.org/10.1115/1.4055372
Kukreja, A., Dhanda, M., and Pande, S. S., 2022, “Voxel-Based Adaptive Toolpath Planning Using Graphics Processing Unit for Freeform Surface Machining,” ASME J. Manuf. Sci. Eng., 144(1), pp. 1–31. https://doi.org/10.1115/1.4051535
Dhanda, M., Kukreja, A., Patel, M., & Pande, S. S. (2022). On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining. Advances in Materials and Processing Technologies, 9(2), 665–676. https://doi.org/10.1080/2374068X.2022.2095757
Kukreja, A., Manu, R., and Lawrence, K. D., 2021, “Towards the Development of a Smart Manufacturing System for the Automated Remodelling and Manufacturing of Standard Parts,” Int. J. Interact. Des. Manuf., 15(2–3), pp. 353–363. https://doi.org/10.1007/s12008-021-00758-0
Kukreja, A., Dhanda, M., and Pande, S., 2020, “Efficient Toolpath Planning for Voxel-Based CNC Rough Machining,” Comput. Aided. Des. Appl., 18(2), pp. 285–296. http://dx.doi.org/10.14733/cadaps.2021.285-296
Kukreja, A., and Pande, S. S., 2019, “Estimation of Scallop Height in Freeform Surface CNC Machining,” Int. J. Adv. Manuf. Technol., 104(9–12), pp. 4231–4242. https://doi.org/10.1007/s00170-019-04269-x
Dhanda, M., Kukreja, A., and Pande, S. S., 2021, “Region-Based Efficient Computer Numerical Control Machining Using Point Cloud Data,” J. Comput. Inf. Sci. Eng., 21(4), pp. 1–12. https://doi.org/10.1115/1.4049216
Dhanda, M., Kukreja, A., and Pande, S., 2021, “Adaptive Spiral Tool Path Generation for Computer Numerical Control Machining Using Point Cloud,” Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci., 235(22), pp. 6240–6256. https://doi.org/10.1177/0954406221990077.
International/National Conference Papers
Kukreja, A., Cox, C., Gopsill, J., Paetzold-Byhain, K., Snider, C. (2026). Automatic feature recognition from imperfect models using a novel workflow of data surrogation, Proceedings of the Design Society: DESIGN Conference, 18-21 May 2026, Dubrovnik, Croatia (Accepted for presentation)
Snider, C., Cox, C., Kukreja, A., Waller, J., Hyde, S., (2026). The industrial perspective on the value of immersive reality design technologies, Proceedings of the Design Society: DESIGN Conference, 18-21 May 2026, Dubrovnik, Croatia (Accepted for presentation)
Kukreja, A., Trombini, M., Cox, C., Snider, C. (2025). A knowledge framework of environment reconstruction methods for mixed reality prototype applications. Proceedings of the Design Society, ICED, 11-14 August 2025, UT Dallas, Texas, USA. https://doi.org/10.1017/pds.2025.10028
Snider, C., Kukreja, A., Cox, C. (2025). Spatial computing in design: Opportunities and challenges of a new technological paradigm. Proceedings of the Design Society, ICED, 11-14 August 2025, UT Dallas, Texas, USA. https://doi.org/10.1017/pds.2025.10304
Kukreja, A., Gopsill, J., Su, S., Nassehi, A., Hicks, B. (2024). Supporting manufacturing interactions through Artificial Intelligence: An appraisal of the literature, 21st International Conference on Manufacturing Research (ICMR2024), 28-30th August 2024, Glasgow, Scotland. https://doi.org/10.1051/matecconf/202440108005
Kukreja, A., Cox, C., Gopsill, J., Snider, C. (2024). A Comparative Study of VR CAD Modelling Tools For Design, Proceedings of the Design Society: DESIGN Conference, 20-23 May 2024, Dubrovnik, Croatia. https://doi.org/10.1017/pds.2024.67
Snider, C., Kukreja, A., Cox, C., Gopsill, J., (2024). Mixed Reality Prototyping: A Framework to Characterise Simultaneous Physical/Virtual Prototyping, Proceedings of the Design Society: DESIGN Conference, 20-23 May 2024, Dubrovnik, Croatia. https://doi.org/10.1017/pds.2024.80
Michael, R., Kukreja, A., Gopsill, J., Cox, C., Snider, C. (2024). 6 Degree of Freedom Positional Object Tracking for Physical Prototype Digitisation, Proceedings of the Design Society: DESIGN Conference, 20-23 May 2024, Dubrovnik, Croatia. https://doi.org/10.1017/pds.2024.88
Gopsill, J., Kukreja, A., Cox, C., Snider, C. (2024). A Low-Cost Non-Intrusive Spatial Hand Tracking Pipeline for Design Tools and Studies, Proceedings of the Design Society: DESIGN Conference, 20-23 May 2024, Dubrovnik, Croatia. https://doi.org/10.1017/pds.2024.209
Mike, W., Cox, C., Kukreja, A., Gopsill, J., Snider, C. (2024). Perception-Centric Design Considerations For Low-Cost Haptic Emulation In Prototypes, Proceedings of the Design Society: DESIGN Conference, 20-23 May 2024, Dubrovnik, Croatia. https://doi.org/10.1017/pds.2024.87
Kent, L., Snider, C., Gopsill, J., Goudswaard, M., Kukreja, A., & Hick, B. (2023). A Hierarchical Machine Learning Workflow For Object Detection Of Engineering Components. Proceedings of the Design Society, 3, 201-210. ICED, 24-28 July 2023, Bordeaux, France. https://doi.org/10.1017/pds.2023.21
Kukreja A., Dhanda. M, Patel M. and Pande S.S. (2021), On modelling and analysis of Voxel-based force prediction for a 3-Axis CNC Machining, 2nd International Conference On Industrial And Manufacturing Systems, 11-13th November 2021, PEC Chandigarh, India (Best Paper Presentation Award).
Dhanda M., Kukreja A., and Pande S.S. (2020), Spiral Toolpath Generation for CNC Machining using Cloud of Points. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Virtual Conference, St. Louis, USA. https://doi.org/10.1115/DETC2020-22032
Kukreja A., Mane H.D., Dhanda M., Pande S.S. (2019) Voxel-Based Strategy for Efficient CNC Machining. In: Shunmugam M., Kanthababu M. (eds) Advances in Forming, Machining and Automation. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9417-2_50
Kukreja A., Pande S.S. (2019) On Estimation of Scallop Height from CNC Part Programs. In: Narayanan R., Joshi S., Dixit U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_44
Kukreja A, Manu R, Lawrence, K. D, (2016), Development of a Smart System for Integrated CAD / CAM of Standard Parts, 6th International & 27th All India Manufacturing Technology, Design and Research Conference (AIMTDR-2016), December 16-18, 2016, College of Engineering., Pune, Maharashtra, INDIA.
