Refereed Journals/Conferences

1. S. Mittal et al., “Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health,” Computational Intelligence and Neuroscience, vol. 2022, p. 7016554, 2022, doi: 10.1155/2022/7016554. (SCI + WOS)

2. K. S. Mann and A. Bansal, “HIS integration systems using modality worklist and DICOM,” in Procedia Computer Science, 2014, vol. 37. doi: 10.1016/j.procs.2014.08.007. (SCOPUS + WOS)

3. V. Kukreja, T. P. S. Brar, S. Vats, A. Bansal, and R. Sharma, “Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model’s Approach to Predicting Extreme Weather Events,” SN Computer Science, vol. 5, no. 7, p. 958, 2024, doi: 10.1007/s42979-024-03321-2. (SCOPUS)

4. K. Saluja, S. Gupta, A. Vajpayee, S. K. Debnath, A. Bansal, and N. Sharma, “Blockchain technology: Applied to big data in collaborative edges,” Measurement: Sensors, p. 100521, 2022, doi: https://doi.org/10.1016/j.measen.2022.100521. (SCOPUS)

5. A. Bansal, S. Vats, C. Prasad, V. Kukreja and S. Mehta, "Bridging the Strawberry Cultivation Gap: Federated Learning CNN for Disease Detection," 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2023, pp. 433-439, doi: 10.1109/SMART59791.2023.10428459. (SCOPUS)

6. A. Bansal, S. Vats, C. Prasad, V. Kukreja and S. Mehta, "Jute Health Decoded: Severity Level Analysis Through Federated Learning CNN," 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2023, pp. 203-209, doi: 10.1109/SMART59791.2023.10428487. (SCOPUS)

7. A. Bansal, S. Vats, S. Mittal, V. Kukreja and S. Mehta, "Strawberries at the Nexus of Tech: Federated Learning and CNN for Disease Severity Classification," 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2023, pp. 440-446, doi: 10.1109/SMART59791.2023.10428253. (SCOPUS)

8. A. Bansal, R. Sharma, V. Kukreja, A. Singh and S. Vats, "Sustainable PRS: A hybrid DL-based parcel recognition approach," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307236. (SCOPUS) 

9. A. Bansal, V. A. Athavale, A. Singh, Aditi, M. A. Shahmiri and K. D. Singh, "3D-CNN Empowered Assistive Machine Learning Model for the Hearing Impaired," 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), Ghaziabad, India, 2023, pp. 487-490, doi: 10.1109/ICSEIET58677.2023.10303045. (SCOPUS)

10. A. Bansal, S. Vats, C. Prasad, V. Kukreja and S. Mehta, "Collaborative Computing: Federated Learning CNNs for Jute Leaf Disease Analysis," 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/INOCON60754.2024.10512261. (SCOPUS)

11. M. Mahajan, A. S. Kalra, A. Bansal, A. Bhattacherjee, Vishal and E. Jain, "Automated Malaria Detection Using Deep Learning: A Convolutional Neural Network Approach for Microscopic Cell Image Analysis," 2024 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2024, pp. 1-6, doi: 10.1109/DASA63652.2024.10836383. (SCOPUS)

12. M. Mahajan, S. Mittal, A. Bansal, A. Bhattacherjee, Vishal and P. Kaushik, "Advancing Monkeypox Detection with Deep Learning: A High-Accuracy ResNet50-Based Approach," 2024 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2024, pp. 1-6, doi: 10.1109/DASA63652.2024.10836334. (SCOPUS)

13. D. Baresary, M. Jambu, A. Bansal, T. P. Singh Brar, P. Kaushik and S. Mehta, "Hair Disease Detection with Deep Learning: A VGG16-Driven Model for Precise Classification of Hair and Scalp Conditions," 2024 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2024, pp. 1-6, doi: 10.1109/DASA63652.2024.10836171. (SCOPUS)

14. Gupta, D., Bansal, A., Wadhwa, S., Shah, S.H.A. (2024). Fog-centric IoT Smart Healthcare: Architecture, Applications, and Case Study. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_9 (SCOPUS)

15. D. Thakur, T. Gera, C. Kaushal, A. Bansal and S. Gupta, “ The Power of AI in Telemedicine: Improving Access and Outcomes ,” in Handbook on Augmenting Telehealth Services, 1st ed., Vyas Sonali, Gupta Sunil, Kapoor Monit, and Khan Samiya, Eds., Boca Raton: CRC Press, 2024. (SCOPUS) 

16. S. Mehta, V. Kukreja, A. Bansal, K. Kumar and K. Kaur, "Multi-Classification of Dragon Fruits Diseases: A Hybrid CNN-SVM Approach," 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/InC457730.2023.10263245. (SCOPUS)

17. A. Bansal, R. Sharma, V. Kukreja, A. Singh and S. Vats, "TDC: An MLP-based Sustainable DL Model for Oak Wilt Disease Classification," 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 320-324, doi: 10.1109/ICAISS58487.2023.10250632. (SCOPUS)

18. A. Bansal, R. Sharma, V. Sharma, A. K. Jain and V. Kukreja, "Detecting Severity Levels of Cucumber Leaf Spot Disease using ResNext Deep Learning Model: A Digital Image Analysis Approach," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-6, doi: 10.1109/INCET57972.2023.10170539. (SCOPUS) 

19. A. Bansal, R. Sharma, A. K. Jain, V. Sharma and V. Kukreja, "Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling:A Multi-Class Study," 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 484-489, doi: 10.1109/ICSCSS57650.2023.10169791. (SCOPUS) 

20. A. Bansal, R. Sharma, V. Sharma, A. K. Jain, and V. Kukreja, “An Automated Approach for Accurate Detection and Classification of Kiwi Powdery Mildew Disease,” in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023, pp. 1–4. doi: 10.1109/I2CT57861.2023.10126126.  (SCOPUS)

21. A. Bansal, R. Sharma, V. Sharma, A. K. Jain, and V. Kukreja, “A Deep Learning Approach to Detect and Classify Wheat Leaf Spot Using Faster R-CNN and Support Vector Machine,” in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023, pp. 1–6. doi: 10.1109/I2CT57861.2023.10126124.  (SCOPUS)

22. D. Gupta, A. Bansal, S. Wadhwa, and K. D. Garg, “Fog-Based Smart Healthcare Architecture in IoT Environment,” in Emergent Converging Technologies and Biomedical Systems, S. Jain, N. Marriwala, C. C. Tripathi, and D. Kumar, Eds., Singapore: Springer Nature Singapore, 2023, pp. 179–185. (SCOPUS)

23. A. Bansal, V. A. Athavale, K. Saluja, S. Gupta, and V. Kukreja, “Computational System Based on Machine Learning with Hybrid Security Technique to Classify Crime Offenses,” in Emergent Converging Technologies and Biomedical Systems, S. Jain, N. Marriwala, C. C. Tripathi, and D. Kumar, Eds., Singapore: Springer Nature Singapore, 2023, pp. 237–248. (SCOPUS)

24. S. Kumar, V. K. Garg, A. Bansal and K. D. Singh, "A Novel Approach To Auto Dipping System Of Vehicles Based On LiDAR," 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Kalady, Ernakulam, India, 2023, pp. 251-255, doi: 10.1109/ACCESS57397.2023.10199916. (SCOPUS)

25. D. Kumar, V. Kukreja, A. k. Jain and A. Bansal, "Architecture Heritage Recognition Using YOLACT Instance Segmentation," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 214-219, doi: 10.1109/ICIRCA57980.2023.10220587. (SCOPUS)

26. D. Kumar, Y. Kumar, V. Kukreja, A. Bansal and A. Bhattacherjee, "High Performance EDA and LDA Analysis: An Application for Wheat Yield Estimation," 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Kalady, Ernakulam, India, 2023, pp. 163-167, doi: 10.1109/ACCESS57397.2023.10200446. (SCOPUS)

27. K. D. Singh, P. Deep Singh, A. Bansal, G. Kaur, V. Khullar and V. Tripathi, "Exploratory Data Analysis and Customer Churn Prediction for the Telecommunication Industry," 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Kalady, Ernakulam, India, 2023, pp. 197-201, doi: 10.1109/ACCESS57397.2023.10199700. (SCOPUS)

28. K. Saluja, S. Gupta, V. Solanki, S. K. Debnath and A. Bansal, "An EEG-Based Brain-Computer Interface for Guiding Mobile Robots," 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Kalady, Ernakulam, India, 2023, pp. 268-273, doi: 10.1109/ACCESS57397.2023.10200907. (SCOPUS)

29. Nutika, R. Sharma, V. Kukreja, P. Sood and A. Bansal, "Implementation of Deep Learning Technique for Citrus Leaf Blotch Disease Severity Detection," 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Kalady, Ernakulam, India, 2023, pp. 168-172, doi: 10.1109/ACCESS57397.2023.10199890. (SCOPUS)

30. V. A. Athavale, A. Bansal, A. K. Mishra, and A. K. Kapil, “2 Managing Transition Toward Industry 4.0: A Study on the Implementation of Digital Manufacturing Processes,” in Recent Trends and Best Practices in Industry 4.0, River Publishers, 2023, pp. 31–58. [Online]. Available: http://ieeexplore.ieee.org/document/10168718. (SCOPUS)

31. S. Gupta, R. Saxena, A. Bansal, K. Saluja, A. Vajpayee, and Shikha, “A case study on the classification of brain tumour by deep learning using convolutional neural network,” AIP Conf Proc, vol. 2782, no. 1, p. 020027, Jun. 2023, doi: 10.1063/5.0154417. (SCOPUS)

32. S. Mehta, V. Kukreja, A. Bansal, K. Kaur, and A. Singh, “Exploring the Potential of Convolutional Neural Networks in Automatic Diagnosis of Dragon Fruit Diseases from Plant Photographs,” in 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), 2023, pp. 536–540. doi: 10.1109/ICICCS56967.2023.10142811. (SCOPUS)

33. K. D. Singh, P. Singh, R. Chhabra, G. Kaur, A. Bansal, and V. Tripathi, “Cyber-Physical Systems for Smart City Applications: A Comparative Study,” in 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT), 2023, pp. 871–876. doi: 10.1109/InCACCT57535.2023.10141719. (SCOPUS)

34. M. Singh, V. K. Garg, A. Bansal, A. Garg, and D. Baresary, “Energy Optimization Algorithms Study On Routing Protocol In Wireless Sensor Network,” in 2023 6th International Conference on Information Systems and Computer Networks (ISCON), 2023, pp. 1–6. doi: 10.1109/ISCON57294.2023.10111997. (SCOPUS) 

35. V. Kusla, G. S. Brar, V. K. Garg, A. Bansal, and R. Kaushal, “Meta-heuristic Artificial Humming Bird Algorithm Based Energy Efficient Cluster Head Selection (MAHA-EECHS) in Wireless Sensor Networks,” in 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), 2023, pp. 1–6. doi: 10.1109/ESCI56872.2023.10100064. (SCOPUS)

36. A. Garg, N. B. Garg, P. Ghosh, A. Bansal, U. K. Lilhore, and S. Simaiya, “A Machine Learning-based Automatic Model to Predicting Performance of Students,” in 2022 IEEE International Conference on Current Development in Engineering and Technology (CCET), 2022, pp. 1–5. doi: 10.1109/CCET56606.2022.10080607. (SCOPUS) 

37. M. Sachdeva, H. K. Sharma, A. Kumar, A. Bansal, K. Saluja, and Shikha, “Applying Neural Imaging and ML to OCD Severity Prediction,” in 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), 2022, pp. 402–406. doi: 10.1109/PDGC56933.2022.10053257. (SCOPUS)

38. D. Gupta, A. Bansal, S. Wadhwa, and K. D. Garg, “Effective Communication in NDN via Transient Popular Content Caching at Edge,” in Mobile Radio Communications and 5G Networks, 2023, pp. 63–69. https://doi.org/10.1007/978-981-19-7982-8_6. (SCOPUS) 

39. R. Sharma, V. Kukreja, R. K. Kaushal, A. Bansal, and A. Kaur, “Rice Leaf blight Disease detection using multi-classification deep learning model,” in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1–5. doi: 10.1109/ICRITO56286.2022.9964644. (SCOPUS)

40. Y. Nagpal, V. Jindal, V. Kukreja, A. Bansal, and A. Singh, “Multiclassification of Seven citrus fruits diseases using the Deep Learning Approach,” in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1–5. doi: 10.1109/ICRITO56286.2022.9964735. (SCOPUS)

41. P. Singla, Niharika, R. jain, R. Sharma, V. Kukreja, and A. Bansal, “Deep Learning Based Multi-Classification Model for Rice Disease Detection,” in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1–5. doi: 10.1109/ICRITO56286.2022.9965117. (SCOPUS)

42. A. Sharma, V. Kukreja, A. Bansal, and M. Mahajan, “Multi classification of Tomato Leaf Diseases: A Convolutional Neural Network Model,” in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1–5. doi: 10.1109/ICRITO56286.2022.9964884. (SCOPUS)

43. S. Lodhi, S. Sakshi, V. Kukreja, and A. Bansal, “Applying Deep Learning in Mars Exploration: A Neural Network-based Study to Classify Martian Terrain Features,” in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1–6. doi: 10.1109/ICRITO56286.2022.9964662. (SCOPUS)

44. V. Kukreja, D. Kumar, A. Bansal, and V. Solanki, “Recognizing Wheat Aphid Disease Using a Novel Parallel Real-Time Technique Based on Mask Scoring RCNN,” in 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Apr. 2022, pp. 1372–1377. doi: 10.1109/ICACITE53722.2022.9823459. (SCOPUS)

45. S. Mittal, C. Monga, A. Bansal and N. Singla, "Analyzing Data Scientist Salaries Dataset Through Machine Learning Algorithms Using Tool “Orange”," 2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA), Pune, India, 2023, pp. 1-6, doi: 10.1109/ICCUBEA58933.2023.10392037. (SCOPUS)

46. K. Kaur, S. Verma, and A. Bansal, “IOT Big Data Analytics in Healthcare: Benefits and Challenges,” in 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021, pp. 176–181. doi: 10.1109/ISPCC53510.2021.9609501. (SCOPUS)

47. A. Bansal and V. A. Athavale, “Big data and analytics in higher educational institutions,” in Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 140. Springer, Singapore, 2021. doi: 10.1007/978-981-15-7130-5_15. (SCOPUS)

48. K. Saluja, A. Bansal, A. Vajpaye, S. Gupta and A. Anand, "Efficient Bag of Deep Visual Words Based features to classify CRC Images for Colorectal Tumor Diagnosis," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp. 1814-1818, doi: 10.1109/ICACITE53722.2022.9823727. (SCOPUS)

49. V. A. Athavale and A. Bansal, “Problems with the implementation of blockchain technology for decentralized IoT authentication,” in Blockchain for Industry 4.0, CRC Press, 2022, pp. 91–119. doi: 10.1201/9781003282914-5. (SCOPUS)

50. Kumar, Harish, et al. "Comparative study to detect effective data exchange protocols for IoT based healthcare environment." Advances in Networks, Intelligence and Computing. CRC Press 91-99. (SCOPUS)

51. V. A. Athavale, A. Bansal, S. Nalajala, and S. Aurelia, “Integration of blockchain and IoT for data storage and management,” Materials Today: Proceedings, 2020, doi: https://doi.org/10.1016/j.matpr.2020.09.643.

52. Mann, K. S., & Bansal, A. (2010). Security of Data of EHR in a grid computing Environment. International Journal of Computer Applications, 975, 8887. (UGC)

53. “A Research on Cloud Computing and Grid Computing: Some Comparison”, A Bansal, VA Athavale, Journal of Advances and Scholarly Researches in Allied Education Vol. 16, Issue No. 9, June-2019, ISSN 2230-7540, Published by Ignited Minds Edutech Pvt, Ltd. (UGC)

54. “An Analysis on Some Issues and Implications of Cloud Computing: A Secure Tool”, A Bansal, VA Athavale, Journal of Advances and Scholarly Researches in Allied Education Vol. 15, Issue No. 12, Dec-2018, ISSN 2230-7540, Published by Ignited Minds Edutech Pvt, Ltd. (UGC)

55. "HOW VOICE ASSISTANTS ARE TAKING OVER OUR LIVES - A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.355-357, May 2019, Available :http://www.jetir.org/papers/JETIRCW06069.pdf (UGC)

56. "A REVIEW PAPER ON OPPORTUNISTIC ROUTING IN WIRELESS SENSOR NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.366-368, May 2019, Available :http://www.jetir.org/papers/JETIRCW06072.pdf (UGC)

57. "HETEROGENEITY IN DISTRIBUTED WIRELESS SENSOR NETWORKS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.358-361, May 2019, Available :http://www.jetir.org/papers/JETIRCW06070.pdf (UGC)

58. "SECURITY ISSUES IN INTER-CLOUD COMMUNICATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.343-345, May 2019, Available :http://www.jetir.org/papers/JETIRCW06066.pdf (UGC)

59. "A COMPARATIVE STUDY OF CLOUD AND FOG COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.310-314, May 2019, Available :http://www.jetir.org/papers/JETIRCW06060.pdf (UGC)

60. A. Bansal, V. Anant Athavale, K. Kaur, and A. Garg, “IoT Enabled Prenatal Health Monitoring System for Pregnant,” in Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, EAI, 2023, doi: 10.4108/eai.24-3-2022.2319150.

61. A. Garg, N. Bansal Garg, U. K. Lilhore, R. Popli, and A. Bansal, “Machine Learning-based Model to Predict Student’s success in Higher Education,” in Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, EAI, 2023, doi: 10.4108/eai.24-3-2022.2318766.

- Evaluator of Ph.D. Thesis of Mr. Manbir Singh, Regd. No. 72010722 titled “Sharding Based Multi-persistence Integrated Model Using Federated Learning for Multi-Paradigm Databases” and attended Final Thesis Presentation on 18th Jan, 2024 at CT University, Ludhiana.

- Evaluator of Ph.D. Synopsis of Ms. Gurpreet Kaur, Regd. No. 72312304 titled “Hybrid Intrusion Detection System empowered by machine learning and metaheuristic techniques” and attended Synopsis Presentation on 14th Sep, 2024 at CT University, Ludhiana.

-   IOT based Smart Vehicle engine maintenance using wireless sensor network- Published on 20th  Jan, 2021 in IPINDIA- application no. 202111002783. Under Request Examination

-   A system for detecting and managing power outages and method thereof- Published on 28th Jan, 2021 in IPINDIA- application no. 202111003768. Under Request Examination

- Tube Squeezer, A Design Patent Filed on 8th Dec, 2021 with 354550-001/210664. Design Accepted and Published, Journal No is 03/2023 and Journal Date is 20/01/2023.  

- SYSTEM AND METHOD FOR CONTROLLING THERMAL SENSOR BASED PROGRAMMED FAN, A Utility Patent Published on 24th Nov 2023 in IPINDIA- application no. 202311072417.

- SYSTEM AND METHOD FOR MONITORING ACTIVITIES OF A SUBJECT, A Utility Patent Published on 16th Dec 2022 with 202211060059. 

-       Two Days Workshop on Rational Robot Powered By IBM, Organized by BGIET, Sangrur (8.12,2006 - 9.12.2006)

-       DST sponsored Staff Development Workshop on Patent Awareness, Organized by BGIET, Sangrur

-       Three Days Faculty Development Program on Natural Language Processing, Organized by Chitkara University, Rajpura (Formerly Chitkara Institute of Engineering & Technology) (21.12,2009 - 23.12.2009)

-       Two Days AICTE sponsored symposium on “ Challenges and Opportunities in Medical Image Processing Analysis and Applications”, Organized by GNDEC, Ludhiana (3.02.2012 - 4.02.2012)

-       Five Days PTU sponsored Faculty Development Programme on “Soft Computing Techniques and its Applications in Digital Image Processing”, KC College of Engineering & IT, Nawanshahar (22.07.2013 - 26.07.2013)

-       Five Days TEQIP-II Sponsored one week Faculty Development Programme on ”Computational Research Methodologies in Information Security”, Organized by GNDEC, Ludhiana (6.01.2014 - 10.01.2014)

-       Three Days PTU sponsored workshop on “Human Values & Professional Ethics”, Organized by GGI, Ludhiana (14.03.2014 - 16.03.2014)

-   Five Days PTU sponsored Faculty Development Programme on “impact of Innovation and Creativity on Entrepreneurship”, Organized by KC College of Engineering & IT, Nawanshahar (16.06.2014 - 20.06.2014)

-       One Day ISTE sponsored National Seminar on ”Contemporarily Practices on Research Methodology”, Organized by GGI, Ludhiana (18.07.2015)

-       Three Days Quality Initiatives in Technical Educations Institutions, Organized by GNDEC, Ludhiana (24.12.2015 - 26.12.2015)

-       120 hours/ Five Days of professional development for” Database Design and Programming with SQL, Organized by Oracle Academy (26.12.2016 - 30.12.2016)

-       Two Days Microsoft powered SAKSHAM-IT Champion Training Program (5.06.2017 - 6.06.2017)

-       Five Days AICTE recognized Short Term Course on Managerial Skills through ICT powered by NITTTR, Chandigarh, MHRD, GOI (10.12.2018 - 14.12.2018)

-       Four Days AICTE Sponsored Online Course on Examination Reforms, Organized by AICTE (29.04.2020 - 2.05.2020)

-    Five Days AICTE Training and Learning (ATAL) Academy sponsored online FDP on “Internet of Things (IoT)” at Sri Manakula Vinayagar Engineering College (1.02.2021 – 5.02.2021)

- Five Days RTU(ATU)TEQIP-III sponsored Faculty Development Programme on “Recent Advances in Material Characterization Techniques” at Vivekananda Institute of Technology, Jaipur (15.02.2021 – 19.02.2021) 

- ISTE and IE sponsored, 5 day online faculty development program on “Advanced Teaching Tools and Methodologies for Outcomes Based Education” from 18th May, 2021 to 22nd May 2021 organized by IQAC, Gulzar Group of Institutions, Ludhiana.

- Two week National Faculty Development Programme (FDP) on “Entrepreneurship-Inculcating Entrepreneurial Thinking among Faculty Members“ from December 13 – 25, 2021 organized by Chitkara Innovation Incubator Foundation (CIIF), Chitkara University in association with NSTEDB/DST, Ministry of Science & Technology, Government of India.

- One week Faculty Development Program (FDP) on “Collaboration on Open Source Software with Source Code Management” from FEbruary 7-11, 2022 organized by Department of Computer Science and Engineering, CUIET, Chitkara University,  Punjab. 

- One week Faculty Development Program (FDP) on “Contemporary and Futuristic Applications of Applied Artificial Intelligence” from February 21-25, 2022 organized by Department of Computer Science and Engineering, CUIET, Chitkara University,  Punjab. 

- One week Microsoft India and SAP India led Faculty Development Program (FDP) on “Artificial Intelligence” under Tech Saksham Program from January30, 2023 to 3rd February, 2023 organized by Jagat Guru Nanak Dev Punjab State Open University, Patiala, Punjab.

- One week National Level FDP on “Advances in Material Science and Machine Learning Applications” from August 1st, 2023 to August 5th, 2023 organized by Department of Applied Sciences, CUIET, Chitkara University,  Punjab.

- One Week FDP titled “Unlocking Potential: Maximizing Impact via Technology Transfer, Publications, Consultancies, and Intellectual Property Management” from 2nd Jan, 2024 to 6th Jan, 2024 organized by Department of CSE, CUIET, Chitkara University, Punjab.

- FDP on “Empowerment of Enhanced Coding Expertise through Code Quality” from 9th Nov 2023 to 6th Jan 2024 organized by Career Advancement Services, Chitkara University, Punjab and Research & Innovation Unit, Department of CSE, CUIET, Chitkara University, Punjab. 

1. Presented a paper entitled "IoT Big Data Analytics in Healthcare: Benefits and Challenges" in 6th International Conference on Signal Processing and Control(ISPCC 2K21) Organized by Department of Electronics & Communication Engineering, JUIT from October 07-09, 2021.

2. Presented a paper entitled "Big Data Analytics in Higher Educational Institutions" in 1st International Conference on Mobile Radio Communications and 5G Networks (MRCN-2020) Organized by University Institute of Engineering and Technology (UIET), Kurukshetra University, Kurukshetra  from July 13-15, 2020.

3. Presented a paper entitled "Digital Technologies: An Important Role in fighting COVID-19" in Internet based National Conference-2020 Organized by the department of Computer Science, Faculty of Technology, Gurukula Kangri Vishwavidyalaya, Haridwar  from July 30-31, 2020.

4. Presented a paper entitled "Security Issues in Inter-Cloud Communication" in International Conference on Trends in Science, Engineering and Management (ICTSEM-2019) Organized by Gulzar Group of Institutes, Ludhiana on July, 13, 2019.

5. Presented a paper entitled "A Comparative Study of Cloud and Fog Computing" in International Conference on Trends in Science, Engineering and Management (ICTSEM-2019) Organized by Gulzar Group of Institutes, Ludhiana on July, 13, 2019.

6. Presented a paper entitled "A literature review on EMR integration systems, Picture Archiving and Communication Systems, Radiology Information Systems, Hospital Information Systems, Health Level 7 Using Modality Worklist and DICOM" at 46th ISTE Convention and National Conference on Intelligent Technologies for Better Tomorrow Organized by Gulzar Group of Institutes, Ludhiana on Feb. 10-12 2017.

7. Presented a paper entitled "Dark Side of Cloud Computing" at International Conference on Emerging Trends in Computer Science & Information Technology (ETCSIT-2011) Organized by department of Computer Science Engineering, Gulzar Group of Institutes, Ludhiana on Feb. 26 2011.

8. Presented a paper entitled "Artificial Intelligence and Today's World" at National Conference on Impact of Management and Technological Advancements In Technical education and Industrial Sector Organized by Jasdev Singh Sandhu Institute of Engineering & Technology, Kauli, Patiala on Feb 18-19, 2011.

9. Presented a paper entitled "OLED SCREENS- A New Invention in TV Display Technology" at National Conference on Impact of Management and Technological Advancements In Technical education and Industrial Sector Organized by Jasdev Singh Sandhu Institute of Engineering & Technology, Kauli, Patiala on Feb 18-19, 2011.

10. Presented a paper entitled "Social Networking with Facebook" in the UGC sponsored National Seminar Organized by Pt. Mohan Lal S.D. College for Women, Gurdaspur on January29, 2011.

11. Presented a paper entitled "Progress of 3GPP Using UMTS Standards" at ISTE sponsored 3rd National Conference on Innovative Developments in Engineering Applications(IDEA-08) Organized by Bhai Gurdas Institute of Engineering & Technology, Sangrur on March 14-15 2008.

12.  Presented a paper entitled "IOT Enabled Prenatal Health Monitoring System For Pregnant Women", A. Bansal, V.A. Athavale, K. Kaur and A. Garg, 3rd International Conference on ICT for Digital, Smart and Sustainable Development (ICIDSSD-22), 2022, Organised by Jamia Humdard, New Delhi on 24th-25th March, 2022.

13.  Presented a paper entitled "Machine Learning- Based Model To Predict Student's Success In Higher Education", A. Garg, Bansal and  A. Bansal, 3rd International Conference on ICT for Digital, Smart and Sustainable Development (ICIDSSD-22), 2022, Organised by Jamia Humdard, New Delhi on 24th-25th March, 2022.

14. Presented a paper entitled “Efficient Bag of Deep Visual Words Based features to classify CRC Images for Colorectal Tumor Diagnosis”, Kamal Saluja, Ankit Bansal, Amit Vajpayee, Abhineet Anand, Sunil Gupta, International Conference on Advance Computing and Innovative Technologies in Engineering ICACITE-2022, Organized by Department of Electrical and Electronics Engineering, Galgotias College of Engineering and Technology, Greater Noida  on 28-29th of April 2022. 

15. Presented a paper entitled “A case study on the Classification of Brain Tumor by Deep learning using Convolutional Neural Network”, Sunil Gupta, Rakesh Saxena, Ankit Bansal, Kamal Saluja, Amit Vajpayee and Shikha Mittal, International Conference on Intelligent Systems and Computation ICISC-2022, Organized by Poornima Institute of Engineering and Technology, Jaipur on 6th-7th May 2022. 

16. Presented a paper entitled "Computational System Based on Machine Learning with Hybrid Security Technique to Classify Crime Offenses", Ankit Bansal, Kamal Saluja, Vijay Anant Athavale, Sunil Gupta, and Vinay Kukreja, 2nd Emerging Convergent Technologies and Biomedical Systems (ETBS– 2022) happening from 23rd - 24th September 2022 in Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India. 

17. Presented a paper entitled "Applying Neural Imaging and ML to OCD Severity Prediction", Ankit Bansal, Kamal Saluja, Shikha, 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC 2022) happening from 25th - 27th November 2022 in Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India.

18. Presented a paper entitled "Integration of Deep Learning and Edge-Cloud for Big Data Analytics in IOT",  

Kushwant Kaur, Navneet Chaudhary and Ankit Bansal, 2022 International Conference on Communication,    Security and Artificial Intelligence (ICCSAI 2022) in Galgotias University, Greater Noida, UP on 23-24th of       December 2022. 

19. Presented a paper entitled "Web 3.0 and its Reflections on the Future of Enterprises", Abhishek, Rakshit, Ritika, Shikha, Chetna, Ankit Bansal, 2022 International Conference on Communication, Security and Artificial Intelligence (ICCSAI 2022) in Galgotias University, Greater Noida, UP on 23-24th of December 2022. 

20. Presented a paper entitled "Implementation of Machine learning Optimizers in Malaria disease detection", 

Mareeswaran M, Premananda Sahu, P Harini, K Sreenivasa Rao, Ankit Bansal, Prakash Kumar Sarangi,            2022 International Conference on Communication, Security and Artificial Intelligence (ICCSAI 2022) in              Galgotias University, Greater Noida, UP on 23-24th of December 2022. 

21. Presented a paper entitled "Identification of Plants Based on Leaf Images using Soft Computing Approach",  Sunil Gupta, Rakesh Saxena, Neha Sharma, Ankit Bansal and Kamal Saluja, 2022 International Conference on Communication, Security and Artificial Intelligence (ICCSAI 2022) in Galgotias University, Greater Noida, UP on 23-24th of December 2022.

22. Presented a paper entitled "A Deep Learning Approach to Detect and Classify Wheat Leaf Spot Using Faster R-CNN and Support Vector Machine" in 8th International Conference for Convergence in Technology (I2CT) during 7th & 9th April 2023.

23. Presented a paper entitled "An Automated Approach for Accurate Detection and Classification of Kiwi Powdery Mildew Disease" in 8th International Conference for Convergence in Technology (I2CT) during 7th & 9th April 2023.

24. Presented a paper entitled "Architecture Heritage Recognition using YOLACT Instance Segmentation" in 5th International Conference on Inventive Research in Computing Applications (ICIRCA 2023) during 3rd to 5th August 2023.

25. Presented a paper entitled “3D-CNN Empowered Assistive Machine Learning Model For The Hearing Impaired” in International Conference on Sustainable Emerging Innovations in Engineering and Technology" (ICSEIET-23) technically sponsored by IEEE from September 14, 2023 to September 15, 2023. 

26. Presented a paper entitled “Jute Health Decoded: Severity Level Analysis through Federated Learning CNN” in 12th International Conference on SMART-2023 (System Modeling & Advancement in Research Trends) organized by College of Computing Sciences & IT, Teerthankar Mahaveer University, Moradabad, UP from December 22, 2023 to December 23, 2023. 

27. Presented a paper entitled “Strawberries at the Nexus of Tech: Federated Learning and CNN for Disease Severity Classification” in 12th International Conference on SMART-2023 (System Modeling & Advancement in Research Trends) organized by College of Computing Sciences & IT, Teerthankar Mahaveer University, Moradabad, UP from December 22, 2023 to December 23, 2023.

28. Presented a paper entitled “Bridging the Strawberry Cultivation Gap: Federated Learning CNN for Disease Detection” in 12th International Conference on SMART-2023 (System Modeling & Advancement in Research Trends) organized by College of Computing Sciences & IT, Teerthankar Mahaveer University, Moradabad, UP from December 22, 2023 to December 23, 2023.