RESEARCH PUBLICATION

JOURNAL PAPERS 

1.  Yadav, A. K., Tomar, R., Kumar, D., & Gupta, H. (2012). Security and privacy concerns in cloud computing. International Journal of Advanced Research in Computer Science and Software Engineering, 2(5), 379-383.

2.  Negi, A., Sharma, P., Chaudhary, P., & Gupta, H. (2015). New method for obtaining digital signature certificate using proposed RSA algorithm. International Journal of Computer Applications, 121(23), 24-29.

3.  Khatri, S., Sharma, P., Negi, A., & Gupta, H. (2015). Thwarting Sybil Attack using ElGamal Algorithm. International Journal of Computer Applications, 121(21), 44-48.

4.  Joshi, K., Gupta, H., Chaudhary, P., & Sharma, P. (2015). Survey on different Enhanced k-means Clustering Algorithm. International Journal Of Engineering Trends And Technology, 27(4),178-181.

5.  Gupta, H., Verma, K. K., & Sharma, P. (2015). Using Data Assimilation Technique and Epidemic Model to Predict TB Epidemic. International Journal of Computer Applications, 128(9), 1-5.

6.   Diwakar, M., Lamba, S., & Gupta, H. (2018). CT Image Denoising Based on Thresholding in Shearlet Domain. Biomedical and Pharmacology Journal, 11(2), 671-677.

7.  Longkumer, M., & Gupta, H. (2018). Denoising of Images Using Wavelet Transform, Weiner Filter and Soft Thresholding. International Research Journal of Engineering and Technology, 5(6), 231-234

8.  Longkumer, M., & Gupta, H. (2018). Image Denoising Using Wavelet Transform, Median Filter and Soft Threshoding. International Research Journal of Engineering and Technology, 5(7), 729-732

9.  Joshi, K., Gupta, H., & Lamba, S. (2018). An Overview on Image Fusion Concept. Journal of Emerging Technologies and Innovative Research,5(9), 873-879 

10. Joshi, K., Joshi, N. K., Diwakar, M., Tripathi, A. N., & Gupta, H. (2019) Multi-Focus Image Fusion using Non-Local Mean Filtering and Stationary Wavelet Transform. International Journal of Innovative Technology and Exploring Engineering, 9(1), 344-350.

11. Kaur, G., & Gupta, H. (2020). Application of artificial intelligence in medical field- A review. The Engineering Journal of Application & Scopes, 5(2), 35–39. 

12. Bhardwaj, & Gupta. (2022). IOT-ENABLED SMART FARMING AND ITS CONVINCINGIMPACT IN THE FIELD OF PRECISIONAGRICULTURE. Annals of Forest Research, 65(1), 9272–9284. Retrieved from https://www.e-afr.org/article/view/9272.html 

13. Gupta, H., Imran, J., & Sharma, C. (2023). Flu-Net: two-stream deep heterogeneous network to detect flu like symptoms from videos using grey wolf optimization algorithm. Journal of Ambient Intelligence and Humanized Computing, 1–13. Advance online publication. https://doi.org/10.1007/s12652-023-04585-x 

14. Gupta, H., & Kumar, V. (2024). Smartphone Sensor Data Analysis for Human Activity Recognition: A Comparative Study. Ajasra ISSN 2278-3741, 13(2), 109-123. 

CONFERENCE PAPERS

1.  Diwakar, M., Verma, A., Lamba, S., & Gupta, H. (2019). Inter-and Intra-scale Dependencies-Based CT Image Denoising in Curvelet Domain. In Soft Computing: Theories and Applications (pp. 343-350). Springer, Singapore.

2. Gupta, H., Chauhan, H., Bijalwan, A., & Joshi, K. (2019). A Review on Image Denoising .International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India. Available at SSRN: https://ssrn.com/abstract=3385374 or http://dx.doi.org/10.2139/ssrn.3385374

3.  Joshi, K., Joshi, N. K., Diwakar, M., Gupta, H., & Baloni, D. (2020). Cross Bilateral Filter Based Image Fusion in Transform Domain. 5th International Conference on Next Generation Computing Technologies(NGCT-2019).Available at SSRN: https://ssrn.com/abstract=3545083 or http://dx.doi.org/10.2139/ssrn.3545083

4. Kumar, A., Dubey, K.K., Gupta, H., lamba, S., Memoria, M., Joshi, K. (2022). Keylogger Awareness and Use in Cyber Forensics. In: Rathore, V.S., Sharma, S.C., Tavares, J.M.R., Moreira, C., Surendiran, B. (eds) Rising Threats in Expert Applications and Solutions. Lecture Notes in Networks and Systems, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-19-1122-4_75 

5. Gupta, H., Sharma, C., Arya, S., Joshi, K. (2022). A Machine Learning Framework for Detection of Fake News. In: Singh, R., Balas, V.E., Kar, A.K., Gehlot, A., Shamshirband, S. (eds) Business Data Analytics. ICBDA 2022. Communications in Computer and Information Science, vol 1742. Springer, Cham. https://doi.org/10.1007/978-3-031-23647-1_6 

6. H. Gupta and C. Sharma, "Face mask detection using transfer learning and OpenCV in live videos," 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), Uttarakhand, India, 2022, pp. 115-119, doi: 10.1109/ICFIRTP56122.2022.10059441.

7. Joshi, K., Reddy, G. A., Kumar, S., Anandaram, H., Gupta, A., & Gupta, H. (2023). Analysis of Heart Disease Prediction using Various Machine Learning Techniques: A Review Study. In 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT) (pp. 105-109). Dehradun, India. doi: 10.1109/DICCT56244.2023.10110139. 

8. Joshi, K., Biswas, S., Pandey, M., Singh, R., Bisht, Y. S., Nautiyal, A., & Gupta, H. (2023, September). Social attention and autism detection in childhood using machine learning: A systematic review and meta-analysis. In AIP Conference Proceedings (Vol. 2771, No. 1). AIP Publishing. 

9. Gupta, H., Arora, N., Dutt, S., Gulati, A., & Gulati, A. (2023). Detection of Diabetic Retinopathy using Transfer Learning. In 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-8. Delhi, India. doi: 10.1109/ICCCNT56998.2023.10307159. 

10. Joshi, K., Gupta, A., Kaushik, V., Anandaram, H., Gupta, H., & Kumar, A. (2023). Intervention of Digital Twin for Smart Monitoring of Battery Management System. In 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. Delhi, India. doi: 10.1109/ICCCNT56998.2023.10306563. 

11.  Gupta, H., Gola, K. K., Kumar, S., Kumar, P., & Jee, N. (2023, September). Suicide Ideation Detection: Harnessing Machine and Deep Learning for Early Risk Identification. In 2023 6th International Conference on Contemporary Computing and Informatics (IC3I) (Vol. 6, pp. 1555-1562). IEEE. 

12. Gupta, H., & Kumar, V. (2024, March). Egocentric Vision Action Recognition: Performance Analysis on the Coer_Egovision Dataset. In 2024 International Conference on Automation and Computation (AUTOCOM) (pp. 341-346). IEEE. 

PATENTS

1. IOT Based Electricity Meter System, Status Published, Application No:-202111060614 

2. Development Of Advanced Artificial Intelligence Model and Its Impact on Cryptocurrency Market, Status Published, Application No:-202241003576

3. Voice Controlled 3D Object Navigation Game, Status Published, Application No:-202211061525

4. TOXICGUARD: Deep learning based toxic comment classification for maintaining a healthy online environment, Status Published, Application No:-202311036703

5. AI-Driven Crop and Fertilizer Recommendation System for Enhanced Agricultural Productivity, Status Published, Application No:-202311036834

6. WHY YOU ARE ENTERING IN MY NETWORK? AN APPROACH TO DETECT THE NEW IP ADDRESS , Status Published, Application No:-202311040162 

7. ADVANCING FIRST-PERSON VISION ACTION RECOGNITION THROUGH MULTI-MODAL FUSION AND NEWLY CURATED COER_EGOVISION DATASET , Status Published, Application No:-202311074331 

8. AI BASED DEVICE FOR DETECTION OF CARDIAC DISEASES, UK DESIGN PATENT, STATUS GRANTED, DESIGN NUMBER:UK-6508135

9. Patient & Doctor Analysis Robot (PADIR), Status Published, Application No:- 202411026439

BOOKS

1. Machine Learning a Probabilistic Approach, Published by Book Rivers Publisher, ISBN:-978-9355153050 

Buy Link:-https://amzn.eu/d/ejr5RyY

2.  C Programming and Computer Fundamentals: A Comprehensive Guide , Published by Blue Ink Publisher, ISBN: 978-9392473579 

Buy Link:- Flipkart: https://lnkd.in/diaXptAB  Amazon: https://rb.gy/xedpm

REFRESHER COURSES DONE

1. Problem Solving Through Programming in C (Jul-Oct 2023) - NPTEL

2. Programming in Java (Jul-Oct 2022) - NPTEL

3. Python for Data Science (Jan-March 2022) - NPTEL

4. Joy of Computing using Python (NPTEL) (Sep-Dec 2020) - NPTEL

5. Cryptography and Network Security (NPTEL) (Jan-April 2018) - NPTEL

6. Programming for Everybody (Getting started with Python) (Dec 16, 2020, 5 weeks) - Coursera

7. Python Data Structure (Jan 5, 2021, 5 weeks) - Coursera

8. Machine Learning with Python (Feb 1, 2021, 5 weeks) - Coursera

9. Deep Learning Fundamentals with Keras (7 Oct 2021, 5 weeks) - edX (IBM)

10. Python Basics for Data Science (18 Oct 2021, 5 weeks) - edX (IBM)

11. Introduction to Programming using Java (28-Sep-21) - Microsoft

MISCELLANEOUS

1. NPTEL CERTIFICATE OF CRYPTOGRAPHY AND NETWORK SECURITY COURSE

2. IN NEWS

3. FDP AND WORKSHOPS ATTENDED

4. CONFERENCE PAPERS NOT YET PUBLISHED IN PROCEEDINGS

5. PHD RDC REPORTS

6. GURUKUL KANGRI PHD ENTRANCE QUALIFYING LETTER

7. ONLINE FDP AND WEBINAR