Mandeep Dhanda

@pec.ac.in

Assistant Professor, Department of Production & Industrial Engineering
Punjab Engineering College, Chandigarh

Mandeep Dhanda


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https://researchid.co/mandeepdhanda
My personal experience has shown me that a career in teaching and research will keep me happy and excited. The essence of my research is and will be, coming up with something novel, bearing in mind the relevance to the present-day world and the common man. I have found that developing nations like India, desperately need economically viable scientific knowledge that has practical applicability. In India, more often than not, cutting edge science is locked up in an ivory tower, far removed from the needs of the masses. In the long run, I see myself as an active researcher, deploying my newly acquired scientific knowledge to address problems of practical importance. In conclusion, I am a person who likes to take up challenges and give my best in whatever I do.

EDUCATION

M.Tech. (IIT-Kharagpur), Ph.D. (IIT-Bombay)

RESEARCH INTERESTS

CAD/CAM, Algorithms for Multi-axis CNC Machining, Hybrid (Additive+Subtractive) Manufacturing, Digital manufacturing, Reverse Engineering, Industrial automation, Laser Cladding and Material Characterization, Artificial Intelligence Techniques - GA, NN

FUTURE PROJECTS

Algorithms for multi-axis CNC Machining


Applications Invited
COLLABORATORS/STUDENTS

Development and characterization of hard and wear-resistant MMC coating on Ti-6Al-4V substrate by laser cladding


Applications Invited
COLLABORATORS/STUDENTS

An Approach towards Repairing Of Nimonic Alloy Component through Laser Based Layered Additive Manufacturing Technique


Applications Invited
COLLABORATORS/STUDENTS
19

Scopus Publications

363

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
    Mandeep Dhanda, Benedict Alexander Rogers, Stephanie Hall, Elies Dekoninck, Vimal Dhokia
    Robotics and Computer Integrated Manufacturing, 2025
    Industry 4.0 (I4.0) has been characterized by the increasing use of automation, artificial intelligence, and big data in manufacturing. It has brought different machines, tools, robots and devices together through integration with cyber physical systems as well as Internet of Things and computer systems. This has dramatically improved efficiency, productivity, and flexibility of automated systems, but it has also raised concerns about the impact of automation on jobs, the ethical considerations and the future of work in general. Industry 5.0<br/>(I5.0) is the next manufacturing paradigm evolution and builds on I4.0 with the addition of ‘people’, in which robots will be designed to work alongside humans in a safe and efficient manner. Human-robot collaboration (HRC) is its key enabler. In manufacturing, HRC has the potential to improve safety, efficiency, and productivity by allowing humans to focus on tasks that require creativity, judgment, and flexibility, while robots perform more repetitive and dangerous tasks. <br/><br/>This paper explores the concept of HRC and its advancement within 21st century industry. It identifies the opportunities and challenges arising from the interactions between robots and humans in manufacturing applications, assembly, and inspection. It also highlights the significance of HRC in I4.0 and its potential in I5.0. In addition, the role of artificial intelligence, machine learning, large language models, information modelling (ontologies) and new emerging digital technologies (augmented reality, virtual reality, digital twins, cyber-physical system) in the development of HRC and I5.0 is documented and discussed adding new perspectives to the growing literature in this area. This investigation sheds light on the emerging paradigms that have come about as<br/>parts of I5.0 and the transformative role of human-robot interaction in shaping the future of manufacturing. This critical review provides a realistic picture of manufacturing automation and the benefits and weaknesses of current HRC systems. It presents a researched view on the concept, needs, enabling technologies and system frameworks of human-robot interaction in manufacturing, providing a practical vision and research agenda for future work in this area and its associated systems.<br/><br/>
  • Towards a Framework for Automated Drug Compounding
    Lorenzo Giunta, Mandeep Dhanda, Vimal Dhokia
    Isse 2025 11th IEEE International Symposium on Systems Engineering Symposium Proceedings, 2025
    This paper presents a novel framework to assist in the development and adoption of Automated Drug Compounding (ADC) systems within healthcare settings. Additionally, a conceptual prototype of an ADC is presented which was developed using the proposed framework. There is a specific focus on the compounding of medication for oncology treatments.
  • Co-Adaptation in Human-Robot Training Scenarios
    Emilia Pietras, Bernd Kiefer, Stephanie Hall, Mandeep Dhanda, Haoruo Zhao, Vimal Dhokia, Guglielmo Borzone, Norbert Krüger, Leon Bodenhagen
    IEEE International Workshop on Robot and Human Communication Ro Man, 2025
    In human-robot collaboration scenarios, mutual adaptation between the human and robot must occur to ensure high task performance. This requires robotic systems to be capable of reasoning based on a long-term history of interactions. In this paper, we present and evaluate a robot simulation system that facilitates adaptive robot behavior using ontology-based reasoning and behavior trees in an interactive robotic scanning task. A study with 38 participants compares our adaptive system with a static system in team performance and perceived system usability. Our results suggest that use of the adaptive system significantly reduced session time, leading users to perform the task 19.5% faster. Furthermore, participants reported significantly lower fatigue levels, while maintaining the same task performance as those using the static system.
  • Additive manufacturing: A look at the current technology, materials, and applications
    Advances in Manufacturing and Processing of Materials Characterization and Applications, 2024
  • Towards an ontology to capture human attributes in human-robot collaboration
    Stephanie Hall, Mandeep Dhanda, Vimal Dhokia
    Proceedings of the Design Society, 2024
    A core predicate of Industry 5.0 (I5.0) is the integration of human, environmental and social factors with new technologies. The integration of collaborative robots offers increased productivity but raises questions on safety and how robots can respond to varying cognitive and physical attributes. This paper discusses the significance of structured ontologies in managing complex information for proactive, safe, and productive human-robot collaboration. The paper highlights the future work to be undertaken to ensure the safe and fluid integration of humans and robots within I5.0.
  • Recent advances in magnesium alloys and its composites for bioimplant applications: Processing, matrix, reinforcement, and corrosion perspectives
    Kunal Chauhan, Jimmy Karloopia, R. S. Walia, Mandeep Dhanda
    Critical Reviews in Solid State and Materials Sciences, 2024
    Magnesium alloys have received a lot of attention as prospective bioimplant material due to their biocompatibility, mechanical properties, and biodegradability. Magnesium alloys and composites hold enormous promise as a replacement for permanent metallic implants, as there is no need for secondary surgeries after recovery. To address the corrosion and biodegradation rate of magnesium, different approaches can be adopted, such as composite preparation and surface modification. This comprehensive review emphasizes the processing route, matrix, and reinforcement for Mg alloy and composite, with the aim of enhancing their mechanical, biological, and chemical properties. It also discusses the corrosion and biocompatibility aspects of Mg alloys and composites. The article also sheds light on the potential of magnesium composites to become a dominant player in the field of bioimplant materials.
  • A Bayesian expert system for additive manufacturing design assessment
    Benedict Alexander Rogers, Neill Campbell, Mandeep Dhanda, Alexander James George Lunt, Elise Catherine Pegg, Vimal Dhokia
    Proceedings of the Design Society, 2024
    Tools for analysing additive manufacturability often employ complex models that lack transparency; this impedes user understanding and has detrimental effects on the implementation of results. An expert system tool that transparently learns features for successful printing has been created. The tool uses accessible data from STL models and printer configurations to create explainable parameters and identify risks. Testing has shown good agreement to print behaviour and easy adaptability. The tool reduces the learning curves designers face in understanding design for additive manufacturing.
  • Efficient CNC Toolpath Generation Using Point Cloud
    Mandeep Dhanda, Aman Kukreja, S. S. Pande
    Lecture Notes in Mechanical Engineering, 2023
  • On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining
    Mandeep Dhanda, Aman Kukreja, Mayank Patel, S. S. Pande
    Advances in Materials and Processing Technologies, 2023
    Determination of cutting forces is the main requirement for understanding the machining process and optimising its parameters for achieving higher productivity and surface finish. This paper presents an exploratory study and the development of a model to estimate cutting forces for a 3-axis CNC milling process using a voxel-based CAD model. The developed algorithm takes the NC code, workpiece/tool material properties, and the tool geometry data as inputs. The cutting tool engagement with the workpiece is computed using a discretized (voxelized) model. The calculated voxel engagement was finally used to calculate the cutting forces using the analytical method. The algorithm was implemented and tested for various case studies and the in-house experimental data for different types of end mill tools. Finally, the effect of variation in the size of the voxel and the number of flutes was studied. The model showed a good correlation and was found to be accurate (~80%) and robust.
  • Developments in Hybrid Abrasive Flow Machining: A Review on Models and Analyses
    S. Mehta, P. Gauba, S. Kaushal, P. Ali, M. Dhanda, R. S. Walia
    Lecture Notes in Mechanical Engineering, 2023
  • Mathematical Modeling and Experimental Validation of Surface Roughness in Ball Burnishing Process
    Rahul O. Vaishya, Vivek Sharma, Vinod Mishra, Anurag Gupta, Mandeep Dhanda, R. S. Walia, Manoj Kumar, Ankit D. Oza, Dumitru Doru Burduhos-Nergis, Diana Petronela Burduhos-Nergis
    Coatings, 2022
  • Voxel-Based Adaptive Toolpath Planning Using Graphics Processing Unit for Freeform Surface Machining
    Aman Kukreja, Mandeep Dhanda, Sanjay Pande
    Journal of Manufacturing Science and Engineering Transactions of the ASME, 2022
  • Adaptive spiral tool path generation for computer numerical control machining using point cloud
    Mandeep Dhanda, Aman Kukreja, SS Pande
    Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2021
  • Region-Based Efficient Computer Numerical Control Machining Using Point Cloud Data
    Mandeep Dhanda, Aman Kukreja, S. S. Pande
    Journal of Computing and Information Science in Engineering, 2021
  • Spiral tool path generation for CNC machining using cloud of points
    Mandeep Dhanda, Aman Kukreja, S. S. Pande
    Proceedings of the ASME Design Engineering Technical Conference, 2020
  • Efficient toolpath planning for voxel-based cnc rough machining
    Aman Kukreja, Mandeep Dhanda, S. Pande
    Computer Aided Design and Applications, 2020
  • Adaptive tool path planning strategy for freeform surface machining using point cloud
    Mandeep Dhanda, S. Pande
    Computer Aided Design and Applications, 2019
  • Voxel-Based Strategy for Efficient CNC Machining
    A. Kukreja, H. D. Mane, M. Dhanda, S. S. Pande
    Lecture Notes on Multidisciplinary Industrial Engineering, 2019
  • Efficient CNC machining of freeform surfaces from point cloud
    Proceedings of the ASME Design Engineering Technical Conference, 2018

RECENT SCHOLAR PUBLICATIONS

  • Towards a Framework for Automated Drug Compounding
    L Giunta, M Dhanda, V Dhokia
    2025 IEEE International Symposium on Systems Engineering (ISSE), 1-8 , 2025
    2025
  • Co-Adaptation in Human-Robot Training Scenarios
    E Pietras, B Kiefer, S Hall, M Dhanda, H Zhao, V Dhokia, G Borzone, ...
    2025 34th IEEE International Conference on Robot and Human Interactive … , 2025
    2025
    Citations: 1
  • Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
    M Dhanda, BA Rogers, S Hall, E Dekoninck, V Dhokia
    Robotics and Computer-Integrated Manufacturing 93, 102937 , 2025
    2025
    Citations: 163
  • Recent advances in magnesium alloys and its composites for bioimplant applications: Processing, matrix, reinforcement, and corrosion perspectives
    K Chauhan, J Karloopia, RS Walia, M Dhanda
    Critical Reviews in Solid State and Materials Sciences 49 (6), 1202-1243 , 2024
    2024
    Citations: 18
  • Additive manufacturing: A look at the current technology, materials, and applications
    A Verma, P Dureja, M Dhanda, RS Walia
    Advances in Manufacturing and Processing of Materials, 233-251 , 2024
    2024
    Citations: 2
  • Towards an ontology to capture human attributes in human-robot collaboration
    S Hall, M Dhanda, V Dhokia
    Proceedings of the Design Society 4, 2585-2594 , 2024
    2024
    Citations: 5
  • A Bayesian expert system for additive manufacturing design assessment
    BA Rogers, N Campbell, M Dhanda, AJG Lunt, EC Pegg, V Dhokia
    Proceedings of the Design Society 4, 1809-1818 , 2024
    2024
  • Toward Adaptive Robot Behavior for Interdependent Human-Robot Teams
    E Pietras, S Hall, B Kiefer, J Langaa, G Borzone, M Dhanda, ...
    ICRA 2024 workshop: Dynamic Duos: Human-Robot Co-Worker Adaptation in … , 2024
    2024
  • Developments in Hybrid Abrasive Flow Machining: A Review on Models and Analyses
    S Mehta, P Gauba, S Kaushal, P Ali, M Dhanda, RS Walia
    Recent Trends in Mechanical Engineering: Select Proceedings of PRIME 2021 … , 2023
    2023
    Citations: 3
  • Mathematical modeling and experimental validation of surface roughness in ball burnishing process
    RO Vaishya, V Sharma, V Mishra, A Gupta, M Dhanda, RS Walia, ...
    Coatings 12 (10), 1506 , 2022
    2022
    Citations: 20
  • Efficient CNC Toolpath Generation Using Point Cloud
    M Dhanda, A Kukreja, SS Pande
    Advances in Simulation, Product Design and Development: Proceedings of … , 2022
    2022
    Citations: 1
  • On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining
    M Dhanda, A Kukreja, M Patel, SS Pande
    Advances in Materials and Processing Technologies 9 (2), 665-676 , 2022
    2022
    Citations: 4
  • Voxel-based adaptive toolpath planning using graphics processing unit for freeform surface machining
    A Kukreja, M Dhanda, SS Pande
    Journal of Manufacturing Science and Engineering 144 (1), 011013 , 2022
    2022
    Citations: 15
  • Adaptive Spiral tool path generation for CNC machining using point cloud
    M Dhanda, A Kukreja, SS Pande
    The Proceedings of the Institution of Mechanical Engineers, Part C: Journal … , 2021
    2021
    Citations: 18
  • Region-based efficient computer numerical control machining using point cloud data
    M Dhanda, A Kukreja, SS Pande
    ASME- Journal of Computing and Information Science in Engineering 21 (4 … , 2021
    2021
    Citations: 12
  • Spiral tool path generation for CNC machining using cloud of points
    M Dhanda, A Kukreja, SS Pande
    International Design Engineering Technical Conferences and Computers and … , 2020
    2020
  • Efficient Toolpath Planning for Voxel-Based CNC Rough Machining
    A Kukreja, M Dhanda, SS Pande
    Computer- Aided Design and Applications 18 (2), 285-296 , 2020
    2020
    Citations: 18
  • Voxel-Based Strategy for Efficient CNC Machining
    A Kukreja, HD Mane, M Dhanda, SS Pande
    Advances in Forming, Machining and Automation, 601-612 , 2019
    2019
    Citations: 2
  • Adaptive tool path planning strategy for freeform surface machining using point cloud
    M Dhanda, SS Pande
    Computer-Aided Design and Application 16 (2), 289-307 , 2019
    2019
    Citations: 26
  • Efficient CNC Machining of Freeform Surfaces From Point Cloud
    M Dhanda, SS Pande
    ASME 2018 International Design Engineering Technical Conferences and … , 2018
    2018
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
    M Dhanda, BA Rogers, S Hall, E Dekoninck, V Dhokia
    Robotics and Computer-Integrated Manufacturing 93, 102937 , 2025
    2025
    Citations: 163
  • Development and characterization of hard and wear resistant MMC coating on Ti-6Al-4V substrate by laser cladding
    M Dhanda, B Haldar, P Saha
    Procedia Materials Science 6, 1226-1232 , 2014
    2014
    Citations: 47
  • Adaptive tool path planning strategy for freeform surface machining using point cloud
    M Dhanda, SS Pande
    Computer-Aided Design and Application 16 (2), 289-307 , 2019
    2019
    Citations: 26
  • Mathematical modeling and experimental validation of surface roughness in ball burnishing process
    RO Vaishya, V Sharma, V Mishra, A Gupta, M Dhanda, RS Walia, ...
    Coatings 12 (10), 1506 , 2022
    2022
    Citations: 20
  • Recent advances in magnesium alloys and its composites for bioimplant applications: Processing, matrix, reinforcement, and corrosion perspectives
    K Chauhan, J Karloopia, RS Walia, M Dhanda
    Critical Reviews in Solid State and Materials Sciences 49 (6), 1202-1243 , 2024
    2024
    Citations: 18
  • Adaptive Spiral tool path generation for CNC machining using point cloud
    M Dhanda, A Kukreja, SS Pande
    The Proceedings of the Institution of Mechanical Engineers, Part C: Journal … , 2021
    2021
    Citations: 18
  • Efficient Toolpath Planning for Voxel-Based CNC Rough Machining
    A Kukreja, M Dhanda, SS Pande
    Computer- Aided Design and Applications 18 (2), 285-296 , 2020
    2020
    Citations: 18
  • Voxel-based adaptive toolpath planning using graphics processing unit for freeform surface machining
    A Kukreja, M Dhanda, SS Pande
    Journal of Manufacturing Science and Engineering 144 (1), 011013 , 2022
    2022
    Citations: 15
  • Region-based efficient computer numerical control machining using point cloud data
    M Dhanda, A Kukreja, SS Pande
    ASME- Journal of Computing and Information Science in Engineering 21 (4 … , 2021
    2021
    Citations: 12
  • Towards an ontology to capture human attributes in human-robot collaboration
    S Hall, M Dhanda, V Dhokia
    Proceedings of the Design Society 4, 2585-2594 , 2024
    2024
    Citations: 5
  • On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining
    M Dhanda, A Kukreja, M Patel, SS Pande
    Advances in Materials and Processing Technologies 9 (2), 665-676 , 2022
    2022
    Citations: 4
  • Tool Path Planning Strategies for CNC Machining of Free Form Surfaces using Surface Properties
    M Dhanda, SS Pande
    6th International & 27th All India Manufacturing Technology, Design and … , 2016
    2016
    Citations: 4
  • Developments in Hybrid Abrasive Flow Machining: A Review on Models and Analyses
    S Mehta, P Gauba, S Kaushal, P Ali, M Dhanda, RS Walia
    Recent Trends in Mechanical Engineering: Select Proceedings of PRIME 2021 … , 2023
    2023
    Citations: 3
  • Additive manufacturing: A look at the current technology, materials, and applications
    A Verma, P Dureja, M Dhanda, RS Walia
    Advances in Manufacturing and Processing of Materials, 233-251 , 2024
    2024
    Citations: 2
  • Voxel-Based Strategy for Efficient CNC Machining
    A Kukreja, HD Mane, M Dhanda, SS Pande
    Advances in Forming, Machining and Automation, 601-612 , 2019
    2019
    Citations: 2
  • Efficient CNC Machining of Freeform Surfaces From Point Cloud
    M Dhanda, SS Pande
    ASME 2018 International Design Engineering Technical Conferences and … , 2018
    2018
    Citations: 2
  • Analysis and Synthesis of Solar Tracker using Timer Mechanism
    AS Rani, M Dhanda
    International Journal of Advanced Information Science and Technology (IJAIST … , 2014
    2014
    Citations: 2
  • Co-Adaptation in Human-Robot Training Scenarios
    E Pietras, B Kiefer, S Hall, M Dhanda, H Zhao, V Dhokia, G Borzone, ...
    2025 34th IEEE International Conference on Robot and Human Interactive … , 2025
    2025
    Citations: 1
  • Efficient CNC Toolpath Generation Using Point Cloud
    M Dhanda, A Kukreja, SS Pande
    Advances in Simulation, Product Design and Development: Proceedings of … , 2022
    2022
    Citations: 1
  • Towards a Framework for Automated Drug Compounding
    L Giunta, M Dhanda, V Dhokia
    2025 IEEE International Symposium on Systems Engineering (ISSE), 1-8 , 2025
    2025