Dr. Anjul Rai is an experienced academician and researcher with over 15 years of teaching and industry experience in the field of Mechanical Engineering. He holds a Ph.D. in Mechanical Engineering with a specialization in the application of Artificial Intelligence for quality assurance in the sand casting industry. His research spans advanced manufacturing techniques, cyber security in technical systems, and AI-driven process optimization. Passionate about innovation and knowledge dissemination, Dr. Rai actively contributes to faculty development initiatives and guides students in interdisciplinary research.
About Faculty
Dr. Anjul Rai
| Employee ID | 10278 |
| Date of Joining | 01-01-2013 |
| Nature of Association | Regular |
| Department | Mechanical Engineering |
| Designation | Assistant Professor |
| Educational Qualification | PhD in Mechanical Engineering (CSVTU-2023) M.E. in Production Engineering ( CIM, Industrial Engg., 2009, Shri G.S.Institute of Science & Technology Indore) B.E. in Mechanical Engg. (R.G.P.V. Bhopal-2004) |
| anjul.rai@bitdurg.ac.in | |
| Contact Number | 0788- 2321163 |
Areas of Interest
Teaching :Manufacturing Processes, Instrumentation and control, CAD/CAM, Smart Manufacturing Research:Computer Integrated Manufacturing, Sand Casting, Additive Manufacturing, AI in Manufacturing..
Publications
-
Anjul Rai, Vedant Ajwani and Nalini Ajwani (2024) Artificial intelligence approach to predict ladle aluminium content and to protect its refractory lining, Canadian Metallurgical Quarterly.
- Anjul Rai, Sankalp Rai, Bhavana Narain, and J. Durga Prasad Rao, (2022) Cyber Threads Prediction Using Structural Equation Modeling (SEM), Stochastic Modeling and Applications, Vol.26 No.1 pp.83-89
- Anjul Rai and S. K. Ganguly (December 2021), “Artificial Inteligent Modeling Tools and Techniques In Sand Casting Industries: A Literature Review”, Stochastic Modeling and Applications, Vol.22 No.2 pp.383-387.
- Anjul Rai and S. K. Ganguly (December 2021),” Prediction of Sand-Casting Defects by Artificial Neural Network”, International Journal of Computational Intelligence in control, Vol. 13(2), PP. 199 – 205.
- Anjul Rai and S. K. Ganguly (2021), Sand casting defect prediction through probabilistic modelling, Advances in Dynamical systems and Applications. Vol.16(3) pp 1599-1613.
- Anjul. Rai and S. K. Ganguly (March 2019),” Bayesin Inference in Foundry for Quality Assurance: A Literature Review”, International Journal of Management, Technology and Engineering, Vol. 9(3), PP. 20 – 25.
- Sakshi,Nupoor Jain and Anjul Rai (Octubar 2018), “Modification of the Geneva Paper Cutting Tool”, International Journal of Innovation in Engieneering and Technology, Vol. 11(3) ISSN : 2319-1058, pp.094-098.
- A. Rai and S. K. Ganguly, (March 2018), “Artificial Intelligence in Metal Casting Industries: A Review’’, International Journal of Advanced in Management, Technology and Engineering Sciences, Vol. 8(3) ISSN NO: 2249-7455, pp.1416-1419.
- A. Rai and S. K. Ganguly, (Jun 2016), “Monitoring and control of machining process: A Review’’, Research Journal of Engineering Sciences, Vol. 5(5) ISSN: 2278-9472, pp.31-36.
- A. Rai and S. K. Ganguly, (Jan-March 2015), “Web Based Expert system for some Defects in sand Casting" International Journal of Advanced Engineering Research and Studies, Vol. 4 Issue 2,ISSN2249- 8974, pp.171-174.
- Sakshi, Nupoor Jain and Anjul Rai, (October 2018), “ Modification of the Geneva Paper Cutting Tool”, International Journal of Innovations in Engineering and Technology, Vol. 11(3) ISSN No: 2319-1058, pp.94-98.
- A. Vaidya and D .Joshi, (2011), “On-line Expert System for Some Defect Types In Gray Iron Casting”, All India Seminar on Design and Analysis of Mechanical System Using Optimization Techniques, The Institution of Engineering (India), Indore, pp.81-84.
- A. Vaidya and D. Joshi, (2010), “Knowledge Based system for Defects in Gray Iron Castings”, National Conference on Recent Advances in Manufacturing , Sardar Vallabhbhai National Institute of Technology, Surat, pp.245-252.
- MMR Events 5th 1Day Seminar on Foundry Industry “Innovate today for Better Tomorrow” IIT Bombay Powai.
|
S.No
|
Year (Month) |
Name of Journal |
Title of Research Paper |
ISSN, Pg. No. |
Vol./Issue/Pg No. |
Indexed |
URL |
|
1. |
2024 (June) |
Canadian Metallurgical Quarterly
|
Artificial intelligence approach to predict ladle aluminium content and to protect its refractory lining |
0008-4433,786-792 |
64/2 |
Source
|
|
|
2. |
2022 (January) |
Stochastic Modeling and Applications |
Cyber Threads Prediction Using Structural Equation Modeling (SEM), |
0972-3641, 83-89, |
26/1 |
UGC |
https://www.mukpublications.com/resources/11.%20SANKALP%20RAI_%20final_pagenumber.pdf
|
|
3. |
2021 (December) |
Prediction of Sand-Casting Defects by Artificial Neural Network |
International Journal of Computational Intelligence in control |
0974-8571, 199 – 205 |
13/2 |
UGC |
https://www.mukpublications.com/resources/23_IJCIC_AR_ANN.pdf |
|
4. |
2021
|
Sand casting defect prediction through probabilistic modelling, |
Advances in Dynamical systems and Applications. |
0973-5321, 1599-1613 |
16/3 |
Source
|
https://www.ripublication.com/adsa21/v16n2p87.pdf//www.ripublication.com/adsa21/v16n2p87.pdf |
Details of Book Published
|
S.No. |
Title of Book |
Name of Publisher |
ISBN |
Year of Publication |
|
1. |
A Text book on Smart Manufacturing |
Aditi Publication, Raipur, Chhattisgarh |
978-93-92568-45-9 |
2023 |
Research Papers Published (National/ International Journal)
International journal papers:
National Conference paper:
Presentation:
Certification Courses
|
S. No
|
Year (Month) |
Name of Programme |
Name of Course |
|
1 |
2022 December |
Rapid Manufacturing |
Twelve-week course offered by (NPTEL)National Programme on Technology Enhanced Learning |
|
2 |
2022March |
Python 101 for Data Science |
course on cognitiveclass.ai, powered by IBM Developer Skills Network |
|
3 |
2020 May |
“Machine Learning & Artificial Intelligence” |
one-month online certification course, offered by Amity Future Academy |
|
4 |
2018 |
Certified Design Engineer for Creo
|
PTC (Parametric Technology Corporation) Certified Design Engineer for Creo
|
Other Info.
Other Responsibilities:
- Professor In-charge of NCC Girls Wing.
Felowship/Awards/Other recognitions:
- Indian Society of Technical Education (ISTE), New Delhi, India.
- The Institution of Engineers, Bhilai
- PTC (Parametric Technology Corporation) Certified Design Engineer for Creo
Membership:
Certification
Participation as Resource Person / Expert Lecture Delivered:
|
Sr. No |
Name of Institute |
Topic |
Date |
Participation |
|
1. |
Bhilai Institute of Technology, Durg. |
“Introduction of CNC machine and its programing” |
19-10-2020 |
24 |
|
2. |
Bhilai Institute of Technology, Durg. |
“Introduction to Additive Manufacturing” |
20-10-2020 |
24 |