Dr. Gaurav Gupta is currently an Associate Professor of Mathematics and serves as the head of the Mathematics Department at Wenzhou-Kean University in Wenzhou, China. With over 15 years of teaching and research experience, Dr. Gupta has a strong academic background. Dr. Gupta's research interests are primarily centered around Applied Mathematics, Computer Vision, and Machine Learning. Between 2007 and 2010, he contributed his expertise to the Indian Space Research Organization (ISRO). Notably, he has secured more than $120,000 in grant funding from the Wenzhou Education Bureau, highlighting his dedication to advancing educational initiatives. He has an impressive track record of publication with 30 research papers published in well-regarded journals and conferences. Furthermore, he has played a pivotal role in mentoring students, supervising two PhD students, advising nine Master's Dissertations, and overseeing three undergraduate projects.

Dr. Gupta's commitment to academic and research excellence extends to his active participation in various conferences and workshops. He has contributed as a keynote speaker, technical committee member, and session chair, making significant contributions to the academic community

Applied Mathematics, Machine Learning, Computer Vision, Digital Image Processing (DIP), Soft Computing with Optimization problems and Data Analytics

Research Area: Digital Economy

Funding Agency: Wenzhou Education Bureau

Amount: 800,000 RMB (~$ 118,518)

1. Name: Shaveta Arora  Thesis title: Information set theory based Image Enhancement  Status: Thesis Defended (August 2017)

2. Name: Anuradha Dull Thesis title: Hybrid Decision Tree Classification for Medical Diagnosis  Status: Thesis Defended (4 September 2018)

1. Shiga University, Hikone Japan, August 2, 2019.  https://www.ds.shiga-u.ac.jp/dscenter/event/p4604/

2. Short term Course “Image Processing and Computer Graphics for Scientific Visualization” QIP Centre, Indian Institute of Technology Roorkee, India, July 9-13, 2012.

3. Hands-on LaTeX: A sophisticated Document Preparation System During Professional Development Days, Wenzhou-Kean Univesity, 7th – 9th June, 2019

4. “R for everyone: An Introduction to R Software” during Professional Development Days, Wenzhou-Kean Univesity,  12-13th October, 2019

1. S. Zheng, C. Lu, Y. Wu, G. Gupta, SAPNet: segmentation-aware progressive network for perceptual contrastive deraining, in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (2022), pp.52–62

2. Changjie Lu, Shen Zheng, Gaurav Gupta (2022). Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization. In CVPR 2022.

3. Shen Zheng, Gaurav Gupta (2021). Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement. In WACV 2022.

4. Feature Extraction and Sentiment Analysis Using Machine Learning, Communications in Computer and Information Science, Vol 1546. Springer, 2022. https://doi.org/10.1007/978-3-030-95711-7_11

5. Automatic Keyword Extraction in Economic with Co-occurrence Matrix, Proceedings of Academia-Industry Consortium for Data Science. Advances in Intelligent Systems and Computing, Vol 1411. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-6887-6_33

6. Stock Investment Strategies and Portfolio Analysis. Proceedings of Academia-Industry Consortium for Data Science. Advances in Intelligent Systems and Computing, Vol 1411. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-6887-6_32

7. Deblur-YOLO: Real-Time Object Detection with Efficient Blind Motion Deblurring, International Joint Conference on Neural Networks (IJCNN 2021),

8. Far-Field Behavior for Study of Strong Non-planar Shock Waves in Magnetogasdynamics. Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, Vol 1169. Springer, Singapore, 2021.

8. Efficient Ensemble Sparse Convolutional Neural Networks with Dynamic Batch Size, Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1378. Springer.

9. Research on Relationship Between Local Government Expenditure and Total Output in China

Proceedings of the 6th International Conference on Social Sciences and Economic Development (ICSSED 2021), https://dx.doi.org/10.2991/assehr.k.210407.073.

10. Stock Price Forecast Based on ARIMA Model and BP Neural Network Model, IEEE 2nd International Conference on Big Data, 2021, Artificial Intelligence and Internet of Things Engineering (ICBAIE), https://doi.org/10.1109/ICBAIE52039.2021.9389917.

11. Education and Digital Economy: Trends, Opportunities and Challenges, Proceedings of 4th International Conference on Machine Learning Technologies, Nanchang, China, June 21 – 23, 2019, ACM Digital Library, DOI: 1145/3340997.3341013, Pages 88-92.

12. High Dynamic Range Imaging with Multiexposure Image fusion: A Variational Frame work, Proceedings of 4th International Conference on Big Data and Computing, Guangzhou, China, May 10 – 12, 2019, ACM Digital Library, DOI: 1145/3335484.3335544, Pages 313-321.

13. Metaheuristics: Modeling variant of ant colony optimization for image edge detection using self adaptive approach, Proceedings of the 2nd International Conference on Communication and Computing Systems, Communication and Computing Systems (Taylor & Francis), pp 31-33, 2017.

14. A hybridized framework to build bias optimized decision tree classifiers, Proceedings of the 2nd International Conference on Communication and Computing Systems, Communication and Computing Systems (Taylor & Francis), pp 681-686, 2017.

15. Image Segmentation Using Genetic Algorithm and OTSU, Proceedings of the 5th International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing (Springer Series), Vol. 437, pp 473-480, 2016.

1. Heat transfer optimization of Marangoni convective flow of nanofluid over a rotating disk with Stefan blowing and slip effects using Taguchi method, International Communications in Heat & Mass Transfer, Vol 132, 2022, Impact factor: 5.683. https://doi.org/10.1016/j.icheatmasstransfer.2021.105822

2. Impact of different arrangements of heated elliptical body, fins and differential heater in MHD convective transport phenomena of inclined cavity utilizing hybrid nanoliquid: Artificial neutral network prediction, International Communications in Heat and Mass Transfer Volume 132, March 2022, Impact factor: 5.683.

3. Finite Element Study of Bio-Convective Stefan Blowing Ag-MgO/Water Hybrid Nanofluid Induced by Stretching Cylinder Utilizing Non-Fourier and Non-Fick’s Laws, Nanomaterials, Vol 11(7), 1735, 2021, Impact factor: 5.076 https://doi.org/10.3390/nano11071735

4. An Outsourced Decryption ABE Model using ECC in Internet of Things, International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsVol. 29, No. 06, pp. 949-964 (2021).

https://doi.org/10.1142/S0218488521500422

5. Computational study of three-dimensional flow and heat transfer of 25 nm Cu–H2O nanoliquid with convective thermal condition and radiative heat flux using modified Buongiorno model
Case Studies in Thermal Engineering, Vol 27, 2021, Impact factor: 4.724

https://doi.org/10.1016/j.csite.2021.101340

6. Numerical and sensitivity computations of three-dimensional flow and heat transfer of nanoliquid over a wedge using modified Buongiorno model, Computer & Mathematics with Applications, Vol 101, 2021, Impact factor 3.476. https://doi.org/10.1016/j.camwa.2021.09.010

7. Topographic and climatic influence on seasonal snow cover: Implications for the hydrology of ungauged Himalayan basins, India,  Journal of Hydrology, Volume 585,  2020, Impact factor: 5.722

8. ANT_FDCSM: A Novel Fuzzy Rule Miner derived from Ant Colony Meta-Heuristic for Diagnosis of Diabetic Patients, Journal of Intelligent & Fuzzy Systems, 36 (1), pp 747–760, Feb 2019. IOS press, Impact factor: 1.851

9. Filtering impulse noise in medical images using information sets, Pattern Recognition letters, Vol 139, 2020, Impact factor: 3.756. https://doi.org/10.1016/j.patrec.2018.06.002

10. ACO inspired Computer-aided Detection/Diagnosis (CADe/CADx) model for medical data classification, Recent Patents on Computer Science, Bentham Science Publisher, 2019.

11. Information sets for edge detection, Encyclopaedia of Image Processing (CRC Press, Taylor and Francis group), pp 378-394, Nov 2018. https://www.taylorfrancis.com/books/9781351032735

12. A Study on Magneto-Thermodiffusive Wave Propagation in Dual-Phase-Lag Thermoelasticity with Temperature-Dependent Properties, International Journal of Mathematics and its Applications, Vol 6, issue 3, 45–61. 2018.

13. Sentiment Analysis Using Text Mining: A Review, International Journal on Data Science and Technology, Vol 4, Issue 2, pp. 49-53, June 2018.

14. An Intelligent Two Phase Fuzzy Decision Tree Based Clustering Model for Design of Computer Aided Detection/Diagnosis (CADe/CADx) System, MAPAN-Journal of Metrology Society of India(Springer), Vol 33(1), pp 63–75, 2017. Impact factor: 1.00. 10.1007/s12647-017-0230-8

15. Edge detection of digital color images using information sets, The Journal of Electronic Imaging-SPIE, Vol 25(6), 2016. Impact factor: 0.945

16. Underexposed and overexposed colour image enhancement using information set theory

The imaging Science Journal (Taylor & Francis), Vol. 64(6), 2016. Impact factor: 1.023.

1. Senior Seminar in Mathematics (MATH 4890)

2. Statistical Data Mining (MATH 4720)

3. Foundations of Data Analysis (MATH 3710)

4. Applied Machine Learning (MATH 3790)

5. Big Data Computing (MATH 3700)  

6. Probability and Mathematical Statistics (MATH 3544)

7. Comp. Methods in Matrix and Linear Algebra II (MATH 3225)

8. Differential Equations (MATH 3455)

9. Numerical Analysis (MATH 3940)

10. Calculus I (MATH 2415)

11. Calculus II (MATH 2416)

12. Matrix & Linear Algebra (MATH 2995)

13. Applied Statistics I (MATH 2526)

14. Calculus for Business and Economic (MATH 2400)

15. Algebra for College Students (MATH 1000)

16. Foundations of Math (MATH 1010)