Professor/Dr. Ashok Kumar Madan

PROFILE

Dr. A.K. Madan is a distinguished mechanical engineer recognized for his expertise in advanced production systems, digital manufacturing, and intelligent automation. He is known for integrating modern computational methods with traditional manufacturing practices, contributing to the evolution of engineering education and research. His professional identity is defined by his multidisciplinary strengths across manufacturing engineering, CAD/CAM technologies, CNC automation, and data-driven optimisation techniques.

He is widely respected for his ability to translate complex engineering concepts into practical applications, supported by an extensive portfolio of research work in soft computing, meta-heuristic algorithms, machining intelligence, AI-enabled monitoring systems, and modern industrial frameworks such as Industry 4.0 and smart manufacturing. His academic presence is marked by strong analytical capability, technical depth, and a long-standing commitment to developing innovative engineering solutions.

Throughout his career, Dr. Madan has demonstrated excellence in technical leadership, laboratory development, course design, curriculum strengthening, and student mentorship. His contributions extend to facilitating modern learning environments, promoting applied research, and enhancing the technological capabilities of academic programs through advanced tools, automation platforms, and emerging digital technologies.

Known for his clarity in teaching, precision in research, and discipline in academic work, he has guided numerous student researchers and has consistently delivered high-quality academic outcomes. His strong engagement with industrial technologies, combined with his research orientation, positions him as a prominent figure in mechanical and manufacturing engineering.

Industrial / R&D Experience

 

Organization / Institution	Designation / Post Held	From	To	Total Duration	Nature of Work / Experience (Maximum Detail)
GEC Machines Ltd., West Midlands, UK	Production Engineer	Sep 1980	Feb 1983	2 years 5 months	Worked on major projects related to CAM, automation, ASRS systems, CNC programming, APT programming, and shop-floor industrial automation. Contributed to high-precision machining and advanced production engineering.
IIT Delhi	Scientific Officer	Feb 1983	June 1983	4 months	Conducted research on CNC machine tools, APT programming, computer-aided manufacturing technologies, and CNC controller–toolpath systems.
KG Khosla Compressor Ltd., Faridabad	Senior Engineer (R&D)	June 1983	Jan 1987	3 years 7 months	Executed R&D projects in Production Engineering, development of NC/CNC machine tools, design for manufacturing, manufacturing systems analysis, product improvement, and technology upgradation.
Empire Industries Ltd., New Delhi	Assistant Manager	Jan 1987	April 1991	4 years 3 months	Managed and executed research & development in CNC technology, CAD/CAM integration, product development, CNC-based projects, and production optimization. Led teams in design, testing, and implementation of manufacturing solutions. Installed and commissioned CNC milling machines, CNC coordinate measuring machines, CNC cut-to-length lines, roll-forming lines. Worked in CNC programming, APT programming, production engineering, and R&D. Supported major industrial clients like RCF Kapurthala, BHEL Haridwar, OFD Dehradun, Cofmow, TRTC, etc.

Teaching Positions

Institution	Designation	Status	From	To	Experience	Subjects / Courses Taught
Delhi Technological University (Formerly DCE)	Lecturer (Joined through UPSC with 5 special increments)	Regular	April 1991	April 1996	5 years	Basic Mechanical Engineering, CAM, CIDM, NCMT, Manufacturing Technology, Machine Tools
DTU / DCE	Lecturer – Senior Scale	Regular	April 1996	April 2001	5 years	CAM, CIDM, NCMT, Manufacturing Systems, Mechanical Engineering
DTU / DCE	Lecturer – Selection Grade (Equivalent to Assistant Professor)	Regular	April 2001	Jan 2006	5 years	CAM, CAD/CAM, Flexible Manufacturing Systems, NCMT, Production Engineering
DTU / DCE	Associate Professor	Regular	Jan 2006	July 2013	~7 years	B.Tech, M.Tech & Ph.D level courses: CAM, CIDM, NCMT, Manufacturing Technology, Advanced Manufacturing, Machine Tools
Delhi Technological University	Professor	Regular	July 2013	Till Date	~10 years	CAM, CIDM, FMS, NCMT, Manufacturing Technology, Advanced Manufacturing, Research Guidance to M.Tech & Ph.D students

 

COURSES TAUGHT

I have taught a wide range of undergraduate (B.Tech), postgraduate (M.Tech), and doctoral-level courses in Mechanical Engineering, Production Engineering, and Advanced Manufacturing. My teaching areas cover CAM, CAD/CAM, Manufacturing Systems, CNC Technology, Robotics, Automation, and core mechanical subjects.

Courses I have taught include:

Computer-Aided Manufacturing (CAM)
Computer-Aided Design and Manufacturing (CAD/CAM)
Flexible Manufacturing Systems (FMS)
Computer-Integrated Manufacturing (CIM)
Numerical Control and CNC Machine Tools (NCMT)
Advanced Manufacturing Technology
Manufacturing Technology
Robotics and Automation
Industrial Automation
Machine Tool Engineering
Mechatronics and Sensors
Artificial Intelligence Applications in Manufacturing
Industrial Engineering and Operations Management
Basic Mechanical Engineering
Engineering Mechanics
Material Science and Manufacturing Processes
Tool Engineering and Tool Design
Operations Research
Quality Control and Total Quality Management
Simulation and Modelling in Manufacturing
Advanced CAD/CAM Laboratory
Computer-Aided Manufacturing Laboratory
Automation and Robotics Laboratory
CNC Programming and Machining Laboratory
Mechatronics and Control Laboratory

I have also guided students in specialized elective subjects, project courses, and research-oriented modules including:

Meta-Heuristic Optimization Techniques
AI and Machine Learning in Manufacturing
Industry 4.0 and Smart Manufacturing
Additive Manufacturing / 3D Printing
IoT in Manufacturing and CNC Monitoring
Digital Manufacturing Systems
Advanced Production Systems
Supply Chain and Logistics Engineering
Engineering Research Methodology

These courses reflect my broad academic contribution in developing competency in modern manufacturing, automation, robotics, AI-driven systems, and fundamental mechanical engineering education.

List of Memberships of various Societies/ other Organizations:

	Name of the Society/Organization	Membership Number	Period
	Indian Society of Technical Education;	LM-13960	Life Member
	Institute of Mechanical Engineering, UK	71579695	I have been Associate Member
	DCE/DTU Alumni		Life Member
	City University London Alumni	29046	Life Member, Strong Alumini Network
Education Wing, RERF Mount Abu		118992/0722/L/EDU	Life Member

 

LIST OF RESEARCH PAPERS (COPY-PASTE READY)

1. A.K. Madan et al., 2013, Soft Computing a Tool for Ranking of Technical Institutions, IJTE, ISSN 0971-3034, Vol 36 No 4, pp 31-42, Oct–Dec 2013.

2. A.K. Madan et al., 2013, Comparative Analysis of Variables Affecting the Quality in Technical Education, IJTE, ISSN 0971-3034, Vol 36 No 3, pp 16-27, Jul–Sep 2013.

3. A.K. Madan et al., 2014, Total Quality Management in Technical Education System, IJARI, Vol 2 Issue 4, pp 717-724, ISSN 2347-3258.

4. A.K. Madan et al., 2014, Multiple Criteria Decision-Making Techniques in Manufacturing Industries – A Review Study with Fuzzy, ICRAI-ME-14-02-146, ISBN 978-93-5156-328-0.

5. A.K. Madan et al., 2014, Application of Selective Inventory Control for Cutting Tool Inventory Modelling and Reduction – A Case Study, ICRAI-ME-14-02-146, ISBN 978-93-5156-328-0.

6. A.K. Madan et al., 2015, Review of Analytical Travel Time Models in ASRS, JBAER, Vol 2 No 16, pp 1372-1376, ISSN 2350-0077.

7. A.K. Madan et al., 2015, Review Paper on Reverse Engineering, JBAER, Vol 2 No 16, pp 1377-1380, ISSN 2350-0077.

8. A.K. Madan et al., 2016, Flexible Manufacturing System – A Review, ICAPIE 2016, Paper ID 263.

9. A.K. Madan et al., 2016, Prediction of Weld Bead Parameters for Laser Beam Welding, ICAPIE 2016, pp 299-307.

10. A.K. Madan et al., 2016, Critical Review on Operational Issues in Scheduling of FMS, ICAPIE 2016, Paper ID 259.

11. A.K. Madan et al., 2014, Ethical Hacking and Its Countermeasures, IJARI, Vol 2 Issue 3, pp 623-629, ISSN 2347-3258.

12. A.K. Madan et al., 2016, Implementation of Lean Manufacturing Through Waste Elimination, ICAPIE 2016, Paper ID 254.

13. A.K. Madan et al., 2016, Self-Cleaning Property of Super Hydrophobic Surfaces – Analytical Approach, ICAPIE 2016, Paper ID 267.

14. A.K. Madan et al., 2016, Feasible Study of Lean Manufacturing – Expert Approach, International Journal of Engineering Studies, ISSN 0975-6469, Vol 8 No 2, pp 107-115.

15. A.K. Madan et al., 2016, Trajectory Generation Techniques – A Study, ICAPIE 2016, Paper ID 269.

16. A.K. Madan et al., 2016, Soft Computing Model for Optimisation of Quality in Technical Education, IJARB, University of London, Paper Code 1030.

17. A.K. Madan et al., 2017, Multi-Objective Scheduling in FMS Using Meta-Heuristic Approach, IJREI, Vol 1 Issue 6, pp 35-41.

18. A.K. Madan et al., 2019, Non-Traditional Optimisation Techniques for Scheduling in FMS – Review, IJREI, Vol 3 Issue 2, pp 157-164.

19. A.K. Madan et al., 2019, Manufacturing Process Improvements Using Lean 6 Sigma, ICAPIE 2019, Paper ID PEMF221.

20. A.K. Madan et al., 2019, Fabrication and Characterisation of PVA Films Cross-Linked with Citric Acid, ICAPIE 2019, Paper ID PEMF226.

21. A.K. Madan et al., 2019, Preference Selection Index Approach for Ranking FMS Flexibility, ICAPIE 2019, Paper ID IE0316 (Shortlisted for Springer).

22. A.K. Madan et al., 2019, FMS and Its Feasibility in Indian Industries, ICAPIE 2019, Paper ID IE0320.

23. A.K. Madan et al., 2019, Analysis of Joining of HDPE Pipes, ICAPIE 2019, Paper ID PEML125.

24. A.K. Madan et al., 2019, Blockchain Technology for Digital Identity Management – Conceptual Study, ICAPIE 2019, Paper ID IEM415.

25. A.K. Madan et al., 2019, Performance Measurement of FMS – A Case Study, IJREI, Vol 3 Issue 4.

26. A.K. Madan et al., 2019, FMS Scheduling Using AGVs, IJREI, Vol 1 Issue 3.

27. A.K. Madan et al., 2020, Meta-Heuristic Optimisation Algorithms in FMS – Review, IRJEI, Vol 3 Issue 4.

28. A.K. Madan et al., 2020, Hybrid Firefly Algorithm for Multi-Objective FMS Optimisation, IRJET, Vol 7 Issue 05.

29. A.K. Madan et al., 2020, Evolution and Future of Sustainable Project Management, RAME 2020 (Springer Shortlisted).

30. A.K. Madan et al., 2020, Productivity Improvement in Manifold Machining Using CNC Machines, RAME Paper ID 102.

31. A.K. Madan et al., 2021, Additive Manufacturing in Aerospace and Defence – Review, Journal of Production Research & Management.

32. A.K. Madan et al., 2021, Friction Stir Processing of Surface Composites, IARJSET, March 2021.

33. A.K. Madan et al., 2021, Computer-Aided Automotive Design and Development, IARJSET 2021.

34. A.K. Madan et al., 2021, MATLAB Fuzzy PID Simulation for CNC Feed Drives, IJARI 2021.

35. A.K. Madan et al., 2021, 3D Printed Jigs and Fixtures for Suspension Arms, IARJSET 2021.

36. A.K. Madan et al., 2021, Interpretive Structural Analysis for Industry 4.0 in SMEs, ICAPIE 2021.

37. A.K. Madan et al., 2021, Usage of AGVs in Logistics – Amazon Case Study, IJARESM 2021.

38. A.K. Madan et al., 2021, Intelligent Monitoring of Machining Economics Using IoT, IJARESM 2021.

39. A.K. Madan et al., 2021, Big Data, Digitised Manufacturing and Industry 4.0 – Review, IJARET 2021.

40. A.K. Madan et al., 2021, Review on Spray Powder Additive Manufacturing, RTAAE 2021.

41. A.K. Madan et al., 2021, Tool Path Optimisation in CNC Using AI, IJARET 2021.

42. A.K. Madan et al., 2021, Autonomous Ground Vehicle for Delivery Systems, IJARESM 2021.

43. A.K. Madan et al., 2021, Smart Manufacturing / Industry 4.0 in India, IAEME 2021.

44. A.K. Madan et al., 2021, AI in Manufacturing Industry, IJARESM 2021.

45. A.K. Madan et al., 2021, AI as a Turbocharger in Manufacturing, IARJSET 2021.

46. A.K. Madan et al., 2021, FMS Feasibility Study, IJAPIE 2021.

47. A.K. Madan et al., 2021, Impact of Supply Chain Management in Globalisation, IJARI 2021.

48. A.K. Madan et al., 2021, Flexible Umbilical Cords Effect on UWG Performance, ICAPIE 2021.

49. A.K. Madan et al., 2021, Hydraulic Braking System for Formula Vehicle using CNC, IJARESM 2021.

50. A.K. Madan et al., 2021, Critical Success Factors for AGVs in Industry, ICSIM Florence 2021.

51. A.K. Madan et al., 2021, Face Mask Detection using CNN, IJARI 2021.

52. A.K. Madan et al., 2021, Digital Technology in Supply Chain, ICAPIE 2021.

53. A.K. Madan et al., 2021, Network Anomaly Detection with ML, ICRAETS 2021.

54. A.K. Madan et al., 2021, CAM, Automation and FMS for India’s GDP Boost, ICAPIE 2021.

55. A.K. Madan et al., 2021, Industry 4.0 and Supply Chain – Challenges and Success Factors, ICAPIE 2021.

56. A.K. Madan et al., 2021, Impact of COVID-19 on Learning, IJAPIE 2021.

57. A.K. Madan et al., 2021, Critical Factors for TQM in FMS, ICRTST 2021.

58. A.K. Madan et al., 2021, Structural Analysis of Drill Bit Using ANSYS, IARJSET 2021.

59. A.K. Madan et al., 2021, ISM Modelling of Agile Manufacturing Factors, ICAPIE 2021.

60. A.K. Madan et al., 2021, Analysis of World University Rankings, JPRM 2021.

61. A.K. Madan et al., 2022, Combined Objective Optimisation of FMS Scheduling Using Hybrid GA, Elsevier 2020 (Accepted).

62. A.K. Madan et al., 2022, Optimization of Cutting Parameters During Turning using ANSYS, IJHCI_83411 (Scopus Q1).

63. A.K. Madan et al., 2022, Cutting Force and Thermal Analysis During Turning, Springer LNME.

64. A.K. Madan et al., 2022, Strategic Vision of Industry 4.0, IJARI.

65. A.K. Madan et al., 2022, Hybrid Firefly Algorithm for Job Shop Scheduling, IJRASET.

66. A.K. Madan et al., 2022, 3D Printing for Medical Industry Against COVID-19, ICAPIE.

67. A.K. Madan et al., 2022, CNC Bearing Fault Detection Using CNN, Springer JVET.

68. A.K. Madan et al., 2022, Challenges in Flexible Manufacturing Systems, SAIRAP 2022.

69. A.K. Madan et al., 2022, Design and Fabrication of 360 Degree Flexible Drilling Machine, IRJMETS.

70. A.K. Madan et al., 2022, Multi-Sensor Condition Monitoring for Milling Machines, HBRP 2022.

71. A.K. Madan et al., 2022, Modelling and Inverse Kinematics of Tendon Driven Continuum Robots, IJERT.

72. A.K. Madan et al., 2022, Industrial Revolution 4.0, IJSER 2022.

73. A.K. Madan et al., 2022, Real-Time Analysis of MRR and Surface Roughness for Turning AL6061, IJRESM.

74. A.K. Madan et al., 2022, Comprehensive Review on Advanced Rechargeable Batteries, Elsevier 2022.

75. A.K. Madan et al., 2023, CNC Bearing Fault Detection Using CNN, Springer JVET (2023).

76. A.K. Madan et al., 2023, Bearing Fault Diagnosis Using Hybrid Decomposition, Springer JVET (2023).

77. A.K. Madan et al., 2023, Developments in Simulation of Sheet Metal Forming, IJRPR 2023.

78. A.K. Madan et al., 2023, Tensile Strength Variation in 3D Printed PLA, Saudi Journal of Engineering & Technology 2023.

79. A.K. Madan et al., 2023, AI and ML Applications in CAD/CAM, IJRPR 2023.

80. A.K. Madan et al., 2023, Predictive Models for Lithium-Ion Battery Life, IJRTI 2023.

81. A.K. Madan et al., 2023, Floatovoltaics Power Plant, IJAEM 2023.

82. A.K. Madan et al., 2023, Solutions for Inclusivity of Blind People in Industry, IJAEM 2023.

83. A.K. Madan et al., 2023, Review on IoT/Telecom with MEMS and RF Passives, 2023.

84. A.K. Madan et al., 2023, Metal Additive Manufacturing in Aerospace – Challenges, IRJET 2023.

85. A.K. Madan et al., 2023, AI for Predictive Maintenance in CAM, IJRPR 2023.

86. A.K. Madan et al., 2023, Generative AI Use Cases in Manufacturing, IJAEM 2023.

87. A.K. Madan et al., 2023, Artificial Intelligence and CAM, IJAEM 2023.

88. A.K. Madan et al., 2022, Impact of Industry 4.0 on Aeronautics – Review, IJAEM 2022.

89. A.K. Madan et al., 2023, Tool Wear Analysis System Using MATLAB and AI, IJRES 2023.

90. A.K. Madan et al., 2023, Design Optimisation and Static Analysis of Non-Pneumatic Tyres, IRJET 2023.

91. A.K. Madan et al., 2024, Hybrid Novel Genetic & Adaptive Bee Colony Scheduling Algorithm, International Journal of Industrial Engineering 2024.

92. A.K. Madan et al., 2025, Metaheuristics Solutions for Energy Efficient Scheduling in Green Manufacturing, Journal of Intelligent and Fuzzy Systems.

200+ research papers published in international journals and conferences.

Written Few Chapters on Computer Aided Manufacturing 

 

1. As per the requirements of NEP 2020, I have already successfully completed the Universal Human Values (UHV-I) program approved by AICTE/UGC. I am an active member of the "UHV Team" in relation to AICTE UHV Programs. If necessary, I am qualified to teach UHV subjects as per NEP 2020.
2. From 2015 to 2018, I served as an active member of the Academic Council and held the position of Officer Incharge of the Central Workshop.
3. Recently, I have published additional research papers in esteemed SCI and other journals, further supplementing my already extensive portfolio of approximately 200 research papers.
4. I had the honor of attending a program on "Swarnim Bharat" at Mount Abu on 10th May 2023, which was inaugurated by the Honorable Prime Minister Shri Narendra Modi ji, following an invitation from the Education Wing/Department.
5. Contributed as an Active Member, Technical Committee at ICAPIE 2016 organized by Dept. of Mechanical, Production & Industrial Engg, DTU during December 9-10, 2016.

 

 

1.MOU has already been signed between SVR Robotics, Pune and DTU after getting vetted by R&D Department DTU and the SVR Robotics,Pune

2.MOU between Janatics Global Solutions and DTU has been vetted by the legal cell of R&D department of DTU and the same is under process

3. MOU between Gaskon Engineers, Delhi and DTU has been vetted by the legal cell of R&D department of DTU and the same is under process

4. MOU between M/S Alvarez & Marsal Global and DTU is active consideration The discussions are being held with Mr. Piyush Chandan, Director of M/S Alvarez & Marsal Global. (This company has a turnover of about Rs 45,000CR (RUPEES FORTY FIVE THOUSAND CRORES)

5. MOU - Pilot Project on Road Safety

 

         DTU ALTAIR – Advanced Leap in Technology and Intelligent Robots

 

• Working as the main coordinator for Industrialization, fostering collaborations, and providing practical exposure.
• Delivered a presentation on 13th August 2025 during ALTAIR’s 2025 Orientation to first-year students, faculty, and others on the topic: Artificial Intelligence and its Role in Computer Integrated Manufacturing (CIM).
• Organized a workshop and invited talks by the Chairman of Gascon Engineers Ltd and the CEO of SVR Robotics in May 2025.
• Arranged an online/offline competition (ROC) based on ROBOANALYZER software, in coordination with SVR Robotics Limited, IIT Delhi (Prof. S.K. Saha and Dr. Rajeevlochana G. Chittawadigi), and AV Vidyapeeth, Bangalore, held from 9th May 2025 to 9th August 2025. ROBOANALYZER is a program developed at IIT Delhi since 2009. Students from DTU participated.
• Techno-commercial partners: SVR Robotics and ISRO.
• Students from the ALTAIR team are participating in various competitions in India and abroad, including Flipkart Grid (India), Nvidia Open Hackathon (USA), Smart India Hackathon (SIH) (India), Microsoft Azure (USA), BITS Pilani (India), and IIT Bombay (India) during 2024 and 2025, and have won various prizes.

 

The following equipments worth ?37 Lakhs (sponsored) have been arranged for the CAM, Automation/ALTAIR Lab since August 2024:

 

• Filament-based Additive Manufacturing Machines (3 Nos) by Bambu Labs (sponsored by WOL3D, Mumbai, in August 2024). Approximate cost: ?8 Lakhs.

 

• UV-based hi-tech resin Additive Manufacturing Machine by Elegoo (sponsored by Elegoo, Shenzhen, in August 2025). Approximate cost: ?7.5 Lakhs.

 

• High-performance workstation:
  • CPU: Intel i9-14900K
  • GPU: Nvidia RTX 4080 Super
  • RAM: 128 GB DDR5
  • Storage: 6TB

(Sponsored by Gigabyte, Resident Office, Delhi, in May 2025). Approximate cost: ?7.5 Lakhs.

 

• Industrial-grade server:
  • CPU: Dual Xeon x Extreme
  • RAM: 256 GB
  • Storage: 50TB

(Sponsored by HP, Gurugram, in January 2025). Approximate cost: ?8 Lakhs.

 

• Miscellaneous items for research and development, including:
  • MetroQ Professional Soldering Station
  • Black+Decker Drill Machine
  • Angle Grinder
  • Bench Cutter
  • Chemicals from Numex Chemicals
  • Motors from Xing Industries
  • Cameras from Foxeer Sensors
  • Batteries from Magnipower Pvt. Ltd.
  • WiFi sticks from Asus

Approximate cost: ?6 Lakhs.

PROFESSIONAL DEVELOPMENT

Throughout my academic and professional career, I have continually upgraded my technical, pedagogical, and research competencies through training programs, industrial interaction, laboratory development, workshops, and university-level responsibilities.

I have actively participated in and contributed to faculty development programmes, national and international workshops, industrial training sessions, and academic upskilling initiatives in the areas of CAD/CAM, Robotics, Automation, CNC technology, Flexible Manufacturing Systems, Industry 4.0, Artificial Intelligence applications in manufacturing, and advanced production engineering. I have engaged in continuous learning through exposure to modern manufacturing systems, ANSYS simulation tools, CAM technologies, hybrid optimisation algorithms, and CNC monitoring using IoT and AI.

I have also organised numerous technical events, training programs, and FDPs for students and faculty members, covering emerging technologies, CNC programming, robotics, machining optimisation, additive manufacturing, and industrial automation. These initiatives have strengthened industry–academia interaction and enhanced hands-on learning for students.

My professional development includes extensive interaction with leading industries such as GEC Machines Ltd. (UK), Zeiss Germany, Deckel Germany, STAM Italy, BHEL Haridwar, RCF Kapurthala, and various precision manufacturing units. This exposure has helped me stay updated with modern manufacturing trends, automation systems, and industry practices.

As coordinator of the CAM/Robotics/Automation (ALTAIR) Laboratory at DTU, I have played a key role in developing advanced labs, procuring state-of-the-art equipment, implementing training modules, and building research-oriented learning environments. These contributions have allowed me to remain at the forefront of technological innovation and engineering education.

My continuous focus on research, publication, and advanced training has contributed significantly to my growth as an academic, technologist, and researcher, enabling me to deliver high-quality teaching, mentorship, and academic leadership.

I have guided multiple Ph.D scholars, supervised more than 100 M.Tech dissertations, and mentored several projects.

ANY OTHER INFORMATION

I have actively contributed to the development of advanced laboratories, academic infrastructure, and skill-based learning environments within the university. As the coordinator of the CAM/Robotics/Automation (ALTAIR) Laboratory, I have played a major role in establishing and modernizing labs equipped with CNC machines, robotics systems, CAD/CAM software, mechatronics components, and automation training units. I have supported student teams for various national and international competitions, including robotics, design challenges, Formula Student, and innovation-based contests.

I have organized numerous workshops, FDPs, industrial visits, and short-term training programmes focusing on CAD/CAM, CNC programming, robotics, ANSYS simulation, automation, Industry 4.0, additive manufacturing, AI-assisted machining, IoT-based monitoring, AGV systems, and advanced production engineering. These activities have enhanced student exposure to practical engineering and strengthened industry–academia collaboration.

I have also served in multiple departmental and university-level responsibilities including Academic Council membership, curriculum revision committees, NBA and accreditation work, examination duties, and program structuring for both undergraduate and postgraduate courses. My contributions include mentoring project work, supervising dissertations, guiding innovation projects, conducting technical seminars, and supporting various academic and administrative tasks for the department.

In addition, I have been consistently involved in research collaborations, technical guidance to student innovators, participation in conferences, and continuous academic development through workshops and training in emerging technologies. I remain committed to quality improvement in technical education, digital manufacturing transformation, and promoting interdisciplinary research through AI, simulation, and optimisation techniques in mechanical and manufacturing engineering.