December 12, 2025 5:39 pm

NBA Accreditation:UG-CSE,ETCE (6yrs) & UG-IT,IEE,PE (3yrs)

Dr.

Mahasweta Mondal

Department : Department of Printing Engineering

Designation : Assistant Professor

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About

Academics – Ph.D. | Area of Specialization: research interest includes Flexo and Gravure printing process; Package printing and quality control of printing and packaging industry; and Artificial intelligence techniques, such as artificial neural networks, Image Processing.

Subjects Taught

    Flexo and Gravure Printing Process    Quality Control in Printing and Packaging Industry    Multimedia Communication    Web publishing    Fluid Mechanics

Journal Papers Published

  Mandal M, Bandyopadhyay S. "Study of the lightfastness properties of prints on blister foils by spectral reflectance", Color Res Appl. 2020;45:336-344.   Mandal M, Bandyopadhyay S. "Artificial Neural Network approach to predict the lightfastness of gravure prints on the plastic film", Color Res Appl. 2020; 45:686-698.   Mandal, M, Bandyopadhyay S."To Predict the Waterfastness Rate of Foil Print Applying Artifical Neural Network", International Journal of ComputerApplications. 2019; 178(35) : 3-8   Mandal M, Bandyopadhyay S. "To Predict the Waterfastness Rate of Foil Print", International Journal Of Engineering Research & Technology (IJERT). 2019; 08(06): 486-490

Publication in Conference Proceedings

    International Conference-Oral presentation 8th International Conference on Recent Challenges in Engineering and Technology (ICRCET)- Paper titled "Application of Artificial Neural Network to Predict the Lightfastness of Prints on Paper", held on January 30th - 31st , 2020, Singapore.    International Conference - Oral presentation Archiving 2020, IS & T, Paper titled "To Predict The Lightfastness Of Prints On Foil Applying ANN", held on May 18-21, 2020, Washington DC, USA

NBA Accreditation:UG-CSE,ETCE (6yrs) & UG-IT,IEE,PE (3yrs)