Dr. Suneet Gupta


Alliance College of Engineering and Design

Dr. Suneet Gupta completed his Bachelor of Engineering degree from Karnataka University and later earned his Master of Technology from IIT(ISM) Dhanbad. He was awarded a Ph.D. degree from Mewar University. His primary research area is Biomedical Image Processing, with Machine Learning and Algorithms as secondary areas of expertise. Dr. Gupta has authored a textbook titled "Computer Concepts and Applications." He has published numerous research papers in reputable journals, including SCIE/Scopus indexed journals. Additionally, he has contributed chapters to several books, holds patents, and has reviewed articles for esteemed journals. He has also presented papers, attended conferences and Faculty Development Programs (FDPs), and organized conferences.

  • Silaich, S., Gupta, S. (2023). Feature Selection in High Dimensional Data: A Review. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022, 5th Sep’ 2022 to 6th Sep’2022 (Hybrid Mode) at CHRIST (Deemed to be University), Bengaluru. Lecture Notes in Networks and Systems, vol 608. Springer, Singapore. https://doi.org/10.1007/978-981-19-9225-4_51 (Scopus)
  • Gupta , S., Saravanan, V.,Choudhury , A., Alqahtani , A., Abonazel , M.R., and Babu, K.S.(2022). Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer’s Disease-Based Neurodegenerative Disorders. Computational and Mathematical Methods in Medicine, Hindawi, Volume 2022, Article ID 9092289, 10 pages https://doi.org/10.1155/2022/9092289 (SCIE & Scopus)
  • Kaur, , Gupta, S., Kathiravan, M., Nasrullah, S., Paul, S., and Rahin., S.A. (2022). Classification of EEG Signal-Based Encephalon Magnetic Signs for Identification of Epilepsy-Based Neurological Disorder. Computational and Mathematical Methods in Medicine, Hindawi, Volume 2022, Article ID 7793946, 10 pages https://doi.org/10.1155/2022/7793946 (SCIE & Scopus)
  • Chaudhury, S., Krishna, A. N., Gupta, S., Sankaran, K.S., Khan, S., Sau, K., Raghuvanshi, A., and Sammy, F.(2022). Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer. Computational and Mathematical Methods in Medicine, Hindawi, Volume 2022, Article ID 6841334, 6 pages https://doi.org/10.1155/2022/6841334. (SCIE & Scopus)
  • Singh, S., Srikanth, V., Kumar, S., Saravanan, L., Degadwala, S., and Gupta, S. IOT Based Deep Learning framework to Diagnose Breast Cancer over Pathological Clinical Data. 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM),  23rd February 2022 to 25th February 2022 at Amity University, Greater Noida Campus. (IEEE Explore & Scopus)
  • Gupta, S., Brahma, B., Das, P.S., and Agathian, R. (2022). Challenges of Online teaching for Students: An Analytical Perspective in technical education. Journal of Positive School Psychology, 2022, Vol. 6, No. 2, 956 – 962, http://journalppw.com (Scopus)
  • Gupta, S., Kumar, S., Bangare, S.L., Nuhmani, S., Alguno, A.C., Samori, I.A. (2022). Homogeneous Decision Community Extraction Based on End-User Mental Behavior on Social Media. Computational Intelligence and Neuroscience, Hindawi Publishing Corporation, Volume 2022, Article ID 3490860, 9 pages https://doi.org/10.1155/2022/3490860 (SCIE & Scopus)
  • Pandey, J.K., Kumar, S., Lamin M., Gupta, S., Dubey, R.K., F. Sammy, F.(2022). A Metaheuristic auto encoder deep learning model for intrusion detector system. Mathematical Problems in Engineering, Hindawi Publishing Corporation, Volume 2022, Article ID 3859155, 11 pages, https://doi.org/10.1155/2022/3859155 (SCIE & Scopus)
  • Gupta, S. & Porwal, R. (2016). Combining Laplacian and Sobel Gradient for Greater Sharpening. ICTACT Journal on Image and Video Processing, 06, Issue. 04. ISSN: 0976-9102 (ONLINE) (UGC approved)
  • Gupta, S. & Porwal, R. (2016). Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images. International Journal of Biomedical Imaging, Hindawi Publishing Corporation, Volume 2016, Article ID 4710842, 8 pages http://dx.doi.org/10.1155/2016/4710842 (ESCI & Scopus)


  • Attended 6-day offline Faculty Development Program on Data and Video Analytics from March 13-18, 2023 conducted by and at the Department of Computer Science & Engineering of GITAM School of Technology, Bangalore
  • Completed online short-term course titled Computer Vision - the Artificial Intelligence for an Eye conducted as a part of quality improvement program of AICTE by Pattern Analysis & Machine Intelligence Lab., Department of Computer Science & Engineering, Indian Institute of Technology Indore, Indore 453552, India from February 21 –26, 2022.
  • Successfully completed Faculty Training Programme on “Machine Learning and Deep Learning” conducted by Forsk Coding School, Japiur from 10/02/2020 to 19/02/2020.
  • Attended 3rd International Conference on Computing: Communication, Networks and Security on 23-24 Feb, 2018 organised by School of Engineering and Technology, Mody University, Lakshmangarh.
  • Delivered Expert Talk during 5 day FDP on Machine Learning Methods for Image and Video Analytics held from 25th – 29th July 2016 organised by CSE Dept of College of Engineering and Technology, Mody University, Laxmangarh.
  • Successfully completed a two-week ISTE STTP on Introduction to Design of Algorithms conducted  by IIT Kharagpur from 27th April 2015 to 30th May 2015. (Online activity equivalent to one week from 27th April to 24th May and physical participation at remote center from 25th May to 30th May, 2015)
  • Successfully completed a two-week ISTE STTP on Computer Programming conducted by  IIT  Bombay.  One  week  equivalent  online work  to  be  completed  online  during 11th   May – 5th June 2014 (5 weeks), One week face to face interaction through A-view video transmission at the selected remote centers during 16th June – 21st June 2014.
  • Organized and attended National Conference on “Scientific Computing in Bio Medical Engineering” (SCOMBME-08) at Hindustan College of science & Technology, Mathura.


1. One Indian patent published. The details are as follows:

    1. INVENTORS: Dr. Ajay Kumar Singh, Dr. Suneet Gupta
    2. Year of Filing Oct 2021
    4. Status: Published (15/10/21)
    5. Patent App. No. :  202111045485
    6. Collaboration: UPES Dehradun and HCST Mathura

2. One German Patent registered/published.

    2. Date of Filing: 04/02/2022
    4. Date of Publication: 06/02/2022
    5. Patent App. No: DE202022101781U

    Special FDPs/Trainings:

    1. Successfully completed “Faculty Development Program for Student Induction (FDP-SI)” during 9-11 July, 2018 at Malaviya National Institute of Technology, Jaipur organized by All India Council for Technical Education (AICTE).
    2. Successfully completed the 5-day Online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by All India Council for Technical Education (AICTE) from 1st-May to 05th-May-2023.
    3. Has successfully completed coursework and certification exams for Style Analysis – DISC and Driving Forces conducted by Talent Metrix, Mumbai in May 2023 and is therefore entitled to the title and designation of Certified Behavior and Mentoring Analyst (CBMA).