Faculty Profile

Name : Dr. Anand Upadhyay
Email ID : anand@sfimar.org
Designation : Assistant Professor
Department : MMS
Qualification : Ph.D. in Information Technology from AMET University, MTech (ALCCS) in Computer Science and Applications from IETE, New Delhi, MCA in Computer Science and Applications from Annamalai University, MSc in Information Technology from University of Mumbai, MA (Population Studies) from International Institute of Population Studies

Brief Profile

Dr. Anand Upadhyay is a dedicated professional in the field of Information Technology, with a career objective focused on developing new technology expertise. He has a diverse educational background, including a PhD in Information Technology from AMET University, an M.C.A from Annamalai University, and an ALCCS (equivalent to M. Tech) in Computer Science from IETE. Dr. Upadhyay also holds a PGDHR in Law and multiple degrees in Information Technology from Mumbai University

He possesses proficiency in various programming languages and web technologies such as C, C++, C#, Java, Python, MATLAB, Scala, UiPath, Power Automate, PowerBI, and R. His expertise extends to DBMS and operating systems including Oracle, MS SQL Server 2000, Windows, and Linux (Ubuntu).

Dr. Upadhyay has a robust publication record, having presented and published numerous papers on topics ranging from artificial neural networks and satellite image classification to the impact of mobile phones and social media on students. His research contributions have been featured in various national and international conferences, as well as reputable journals.

In addition to his technical skills and academic achievements, Dr. Upadhyay has a strong commitment to advancing the field of Information Technology and contributing to educational and research initiatives. His work reflects a blend of technical acumen, research prowess, and a passion for developing innovative solutions in the IT domain.

Experience

Academic Experience: 11 years of teaching experience at UG and PG level and 1.5 years of industrial experience.

Additional Qualifications/Certifications:

• Participated in the Orientation Programme organized by UGC-HRDC of Mumbai University conducted from May 25 to June 21, 2017, and obtained Grade ‘A’.

• Completed NPTEL 8-week online certification course in “Introduction to R Software”, Aug-Sep 2018.

• Completed NPTEL 8-week online certification course in “Remote Sensing and Digital Image Processing of Satellite Data”, Aug-Sep 2018. (NPTEL-AICTE-FDP Programme).

• Completed NPTEL 4-week online certification course in “Introduction to Basic Spoken Sanskrit” Aug-Sep 2018. (NPTEL-AICTE-FDP Programme).

• Completed NPTEL 12-week online certification course in “Digital Image Processing” Aug-Sep 2018. (NPTEL-AICTE-FDP Programme).

• Participated in the Refresher Programme in DATA SCIENCE organized by UGC-HRDC of Mumbai University conducted from May 2 to June 17, 2019, and obtained Grade ‘B’.

• Successfully completed one-week faculty development program on “Deep learning and It’s Application” from Electronics and ICT Academy, Indian Institute of Technology, Roorkee conducted from 4th -13th May 2020.

• Successfully completed one-week faculty development program on “Machine learning and AI using Python” from Electronics and ICT Academy, Indian Institute of Technology, Roorkee conducted from 27th April to 6th May 2020.

• Successfully completed one-week faculty development program on “Application of Geoinformatics in Ecological Studies” from Indian Institute of Remote Sensing (IIRS), Dehradun conducted from 13th -24th July 2020.

• Successfully completed one-week faculty development program on “Geospatial Inputs for Enabling Master Plan Formulation” from Indian Institute of Remote Sensing (IIRS), Dehradun conducted from 27th -31st July 2020.

Research & Publication

1. Anthal, J., Upadhyay, A., & Gupta, A. (2017, September). Detection of Vitiligo Skin Disease using LVQ Neural Network. In 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) (pp. 922-925). IEEE. (IEEEXplore Proceeding, Scopus Indexed)

2. Upadhyay, A., Upadhyay, A., & Maurya, S. (2017, September). Regression and Artificial Neural Network based Improved Classification of LISS-III Satellite Image. In 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) (pp. 917-921). IEEE. (IEEEXplore Proceeding, Scopus Indexed)

3. Upadhyay A, Anthal J, Shukla S. Enhanced classification of LISS-III satellite image using rough set theory and ANN. International Journal of Cloud Computing. 2019 Nov 28; 8(3):249-57. (InderScience Journal, Scopus Indexed)

4. Upadhyay A, Singh S, Pandey AK, Singh N. Comparative Study of RBF and Naïve Bayes Classifier for Road Detection Using High Resolution Satellite Images. In International Conference on Advanced Informatics for Computing Research 2019 Jun 15 (pp. 383-392). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

5. Upadhyay A, Gupta R, Tiwari S, Mishra P. High Resolution Satellite Image Based Seagrass Detection Using Generalized Regression Neural Network. In International Conference on Advanced Informatics for Computing Research 2019 Jun 15 (pp. 311-319). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

6. Upadhyay, A., Shukla, S., & Pinto, V. (2020). Indian Currency Recognition Using Radial Basis Function and Support Vector Machine. In International Conference on Intelligent Computing and Smart Communication 2019 (pp. 1049-1056). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

7. Upadhyay, A., Chauhan, A., & Kudtarkar, D. (2020). LDA-and QDA-Based Skin Lesion Melanoma Detection. In International Conference on Intelligent Computing and Smart Communication 2019 (pp. 1057-1064). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

8. Upadhyay A, Nadar S, Jadhav R. Comparative study of SVM & KNN for signature verification. Journal of Statistics and Management Systems. 2020 Feb 17;23(2):191-8. (JSMS Journal, Scopus Indexed)

9. Upadhyay A, Singh R, Dhonde O. Random forest-based classification of seagrass habitat. Journal of Information and Optimization Sciences. 2020 Feb 17;41(2):613-20. (JIOS Journal, Scopus Indexed)

10. Upadhyay A, Singh M, Yadav VK. Improvised number identification using SVM and random forest classifiers. Journal of Information and Optimization Sciences. 2020 Feb 17;41(2):387-94. (JIOS Journal, Scopus Indexed)

11. Upadhyay A, Palival U, Jaiswal S. Early Brain Tumor Detection Using Random Forest Classification. In International Conference on Innovations in Bio-Inspired Computing and Applications 2019 Dec 16 (pp. 258-264). Springer, Cham. (Springer Proceeding, Scopus Indexed)

12. Upadhyay A, Maurya S, Tripathi S. Tree Age Detection Using Pruning Technique. In International Conference on Innovations in Bio-Inspired Computing and Applications 2019 Dec 16 (pp. 265-271). Springer, Cham. (Springer Proceeding, Scopus Indexed)

13. Upadhyay A, Tantry P, Varade A. Classification of Seagrass Habitat Using Probabilistic Neural Network. In International Conference on Innovations in Bio-Inspired Computing and Applications 2019 Dec 16 (pp. 250-257). Springer, Cham. (Springer Proceeding, Scopus Indexed)

14. Upadhyay A, Dubey A, Patel A. Detection of Lung Cancer Through Image Processing Using SVM. In International Conference on Recent Developments in Science, Engineering and Technology 2019 Nov 15 (pp. 239-245). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

15. Upadhyay A, Singh J, Shinde R. Learning Vector Quantization Based Leaf Disease Detection. In International Conference on Recent Developments in Science, Engineering and Technology 2019 Nov 15 (pp. 246-253). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

16. Upadhyay A, Baig N, Pereira A. Bedsore Ulcer Detection Using Support Vector Machine. In International Conference on Recent Developments in Science, Engineering and Technology 2019 Nov 15 (pp. 14-23). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

17. Upadhyay A, Upadhyay D, Gundaraniya A. KNN-Based Classification and Comparative Study of Multispectral LISS-III Satellite Image. In International Conference on Innovative Computing and Communications (pp. 1123-1130). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

18. Upadhyay A, Mishra S, Khavadkar A. Classification of LISS-III Image Using Fuzzy Logic. In Advances in Information Communication Technology and Computing (pp. 283-291). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

19. Upadhyay A, Oommen NM, Mahadik S. Identification and Assessment of Black Sigatoka Disease in Banana Leaf. In Advances in Information Communication Technology and Computing (pp. 237-244). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

20. Upadhyay A, Pandey M, Pandey AK. Water Resource Detection Using High Resolution Satellite Image and GRNN. In Advances in Information Communication Technology and Computing (pp. 245-251). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

21. Upadhyay A, Kantelia P, Parmar R. Retinopathy Detection Using Probabilistic Neural Network. In Advances in Information Communication Technology and Computing (pp. 253-260). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

22. Upadhyay A, Singh S, Singh N, Pal AK. Comparative Study of SVM and Naïve Bayes for Mangrove Detection Using Satellite Image. In Advances in Information Communication Technology and Computing (pp. 227-235). Springer, Singapore. (Springer Proceeding, Scopus Indexed)

23. Anthal J, Upadhyay A, Patil A, Indulkar Y. Effects of Uber and Ola on SVM and Naïve Bayes. InProceedings of the Second International Conference on Information Management and Machine Intelligence: ICIMMI 2020 2021 (pp. 491-499). Springer Singapore. (Springer Proceeding, Scopus Indexed)

24. Upadhyay A, Singh S, Patra R, Patwardhan S. Prediction of Stock Movement Using Learning Vector Quantization. InSecond International Conference on Sustainable Technologies for Computational Intelligence: Proceedings of ICTSCI 2021 2022 (pp. 263-271). Springer Singapore. (Springer Proceeding, Scopus Indexed)

25. Upadhyay A, Anthal J, Manchanda R, Mishra N. Tree Hollow Detection Using Artificial Neural Network. InSecond International Conference on Sustainable Technologies for Computational Intelligence: Proceedings of ICTSCI 2021 2022 (pp. 273-281). Springer Singapore. (Springer Proceeding, Scopus Indexed)

26. Upadhyay A, Tiwari N, Singh R. Brain Tumor Recognition and Classification of MRI Images Using a Convolutional Neural Network Model. InSignals, Machines and Automation: Select Proceedings of SIGMA 2022 2023 May 23 (pp. 375-381). Singapore: Springer Nature Singapore. (Springer Proceeding, Scopus Indexed)

27. Upadhyay A, Singh S, Kanojiya S. Segregation of Ripe and Raw Bananas Using Convolutional Neural Network. Procedia Computer Science. 2023 Jan 1; 218:461-8. (Elsevier Proceeding, Scopus Indexed)

28. Upadhyay A, Yadav B, Singh K, Shukla V. COVID-19 Data Clustering Using K-means and Fuzzy c-means Algorithm. InComputational Intelligence: Select Proceedings of InCITe 2022 2023 Feb 16 (pp. 539-547). Singapore: Springer Nature Singapore. (Springer Proceeding, Scopus Indexed)

29. Upadhyay A, Prajapati V, Shinde A. Ant Species Recognition using Convolutional Neural Network. In2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) 2023 Feb 18 (pp. 1-5). IEEE. (IEEEXplore Proceeding, Scopus Indexed)

30. Upadhyay A, Sutrave B, Singh A. Real time seatbelt detection using YOLO deep learning model. In2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) 2023 Feb 18 (pp. 1-6). IEEE. (IEEEXplore Proceeding, Scopus Indexed)

31. Upadhyay A, Shekhawat M, Manhas R. Data Driven UX/UI design for reproductive health tracker. In2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) 2023 Feb 18 (pp. 1-5). IEEE. (IEEEXplore Proceeding, Scopus Indexed)

32. Upadhyay A, Singh G, Mhatre S, Nadar P. Dog Skin Diseases Detection and Identification Using Convolutional Neural Networks. SN Computer Science. 2023 Mar 4;4(3):250. (SN Computer, Springer Publication, Scopus Indexed)

33. Upadhyay A, Sawant O, Choudhary P. Detection of Knee Osteoarthritis Stages Using Convolutional Neural Network. SN Computer Science. 2023 Mar 7;4(3):257. (SN Computer, Springer Publication, Scopus Indexed)

34. Upadhyay A, Lalwaney A, Sharma A. Pancreatic Cancer Detection Using Radial Basis Neural Network. SN Computer Science. 2023 Mar 11;4(3):261. (SN Computer, Springer Publication, Scopus Indexed)