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Dr. Anjul Rai

Assistant Professor

anjul.rai@bitdurg.ac.in

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.

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)
E-Mail 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

    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

     

    https://www.semanticscholar.org/paper/Artificial-intelligence-approach-to-predict-ladle-Ajwani-Ajwani/b1bf21429948f4ebc7a567a44f113cae2a967cec

    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:

    1. 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.

    2. 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
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

    National Conference paper:

    1. 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.
    2. 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.

    Presentation:

    1. MMR Events 5th 1Day Seminar on Foundry Industry “Innovate today for Better Tomorrow” IIT Bombay Powai.

    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:

    Membership:     

    • Indian Society of Technical Education (ISTE), New Delhi, India.
    • The Institution of Engineers, Bhilai

     

    Certification

    • PTC (Parametric Technology Corporation) Certified Design Engineer for Creo

    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