Research Contributions

H-index: 11 & Citation count: 362 as reported by Google Scholar

Awards & Recognitions

• Commendable Research Award, 2023
• Excellent Commendable Research Award, 2021
• Excellent Commendable Research Award, 2020

Research Expertise

• Software Engineering and Quality
• Empirical Software Engineering
• Software Testing
• Artificial Intelligence and Machine learning
• Computer Vision and Pattern Recognition

Administrative Contributions

• Hostel Warden, SNGH Hostel (Currently)
• Faculty Advisor Madhurima
• Faculty Coordinator, Spic Macay

Professional Profile

• Associate Professor, Department of Software Engineering, Dec 2024-till
• Assistant Professor, Department of Software Engineering, March 2021-Dec 2024
• Assistant Professor, Department of Computer Science Engineering, Sept 2010-March 2021
• October 2007 - August 2010   Worked as Assistant System Engineer in Tata Consultancy Services Limited, Noida

Educational Qualification 

Teaching Skills

Object Oriented Programming, Software Engineering & Methodologies, Object Oriented Software Engineering, Database Management Systems, Computer Graphics, Programming Fundamentals, Unified Modeling Language

Technical Skills

C, C++, Java, Java Server Pages, HTML, CSS, JavaScript, Oracle, MySQL, Rational Rose

Publication(s)

1. Kansal, Vaibhav, and Abhilasha Sharma. "A Survey on CNN, RNN and CRNN for Document Retrieval in Healthcare." Grenze International Journal of Engineering & Technology (GIJET) 10 (2024).
2. Sharma, Abhilasha, and Aparna Arya. "A Comprehensive Study on Advancements in Document Information Retrieval." Grenze International Journal of Engineering & Technology (GIJET) 10 (2024).
3. Sharma, Abhilasha, and Aparna Arya. "Document Information Retrieval with Deep Learning." 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE). IEEE, 2024.
4. Sharma, Abhilasha, and Vaibhav Kansal. "Comprehensive Evaluation of CNN, RNN, and CRNN for document retrieval in Healthcare Systems." 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST). IEEE, 2024.
5. Sharma, Parul, and Abhilasha Sharma. "A novel plant disease diagnosis framework by integrating semi-supervised and ensemble learning." Journal of Plant Diseases and Protection 131.1 (2024): 177-198.
6. Sharma, Abhilasha, and Roshni Singh. "ConvST-LSTM-Net: convolutional spatiotemporal LSTM networks for skeleton-based human action recognition." International Journal of Multimedia Information Retrieval 12.2 (2023): 34.
7. Sharma, Abhilasha, Aryaman Dosajh, and Moin Ahmad Chalkoo. "Denoising using a Hybrid Filter Comprised of GGIF, WLS, and 2D Bilateral Filtering." 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2023.
8. Das, Saradindu, and Abhilasha Sharma. "Apple Leaves Disease Detection Using Multilayer Convolutional Neural Network." 2023 3rd International Conference on Intelligent Technologies (CONIT). IEEE, 2023.
9. Sharma, Abhilasha, Abhi Uday Pandey, and Apoorv Gupta. "Sarcasm detection on news headline dataset using language models." 2023 3rd International Conference on Intelligent Technologies (CONIT). IEEE, 2023.
10. Das, Saradindu, and Abhilasha Sharma. "Convolutional Neural Network Based Plant Disease Detection: A Review." Kilby 100 (2023): 7th.
11. Shekhar, Himanshu, and Abhilasha Sharma. "Global food production and distribution analysis using data mining and unsupervised learning." Recent Advances in Food Nutrition & Agriculture 14.1 (2023): 57-70.
12. Tomar, Rohan, and Abhilasha Sharma. "K-Means and BIRCH: A comparative analysis study." Inventive Communication and Computational Technologies: Proceedings of ICICCT 2022. Singapore: Springer Nature Singapore, 2022. 281-294.
13. Ahmed, Yusuf Omeiza, Marko Manyang Monydit, and Abhilasha Sharma. "MLOps Automation–Developing a RESTful API for Text Based Emotion Detection." Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing. 2022.
14. Yadav, Ankit Kumar, and Abhilasha Sharma. "Real time drowsiness detection system based on ResNet-50." 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2022.
15. Sharma, Abhilasha, Anshul Singh, and Appu Kumar. "Encryption and decryption of marker based 3-dimensional augmented reality image using modified hill cipher technique for secure transfer." 2022 IEEE 2nd international conference on computer communication and artificial intelligence (CCAI). IEEE, 2022.
16. Tomar, Rohan, and Abhilasha Sharma. "Analysis & Detection of COVID-19 on Chest X-Ray Images based on Support Vector Machines." 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). IEEE, 2022.
17. Sharma, Parul, and Abhilasha Sharma. "Honeybee Inspired Load Balancing Algorithm for Cloud Computing Environment." Proceedings of the International Conference on Innovative Computing & Communication (ICICC). 2022.
18. Sharma, Parul, and Abhilasha Sharma. "Artificial Intelligence in Food Industry: A Comprehensive Review." Proceedings of the International Conference on Innovative Computing & Communication (ICICC). 2022.
19. Sharma, Abhilasha, and Himanshu Shekhar. "A predictive analytics framework for Sustainable Water Governance." Sustainable Computing: Informatics and Systems 32 (2021): 100604.
20. Kumar, Akshi, and Abhilasha Sharma. "Decision making using machine learning based opinion prediction model for smart governance." Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science) 14.5 (2021): 1402-1411.
21. Sharma, Abhilasha, et al. "SWOT Analysis of Behavioural Recognition Through Variable Modalities." International Conference on Ubiquitous Computing and Intelligent Information Systems. Singapore: Springer Nature Singapore, 2021.
22. Sharma, Abhilasha, et al. "Optimization of Merge Hypothesis for Automatic Image Caption Generation." Computer Networks and Inventive Communication Technologies: Proceedings of Third ICCNCT 2020. Springer Singapore, 2021.
23. Sharma, Abhilasha, Nikhil Arora, and Paridhi Sachdeva. "Enhanced Opinion Classification Using Nature-Inspired Meta-Heuristics for Policy Evaluation." Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020. Springer Singapore, 2021.
24. Sharma, Abhilasha, et al. "Ontology-Driven Sentiment Analysis in Indian Healthcare Sector." Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2. Springer Singapore, 2021.
25. Kumar, Akshi, and Abhilasha Sharma. "Socio-Sentic framework for sustainable agricultural governance." Sustainable Computing: Informatics and Systems 28 (2020): 100274.
26. Sharma, Abhilasha, and Himanshu Shekhar. "Intelligent learning based opinion mining model for governmental decision making." Procedia Computer Science 173 (2020): 216-224.
27. Kumar, Akshi, and Abhilasha Sharma. "Public Opinion Mining Based Intelligent Governance for Next-Generation Technologies." Cognitive Informatics and Soft Computing: Proceeding of CISC 2019. Springer Singapore, 2020.
28. Sharma, Abhilasha, and Harsh Pandey. "Big data and analytics in industry 4.0." A roadmap to Industry 4.0: Smart production, sharp business and sustainable development (2020): 57-72.
29. Kumar, Akshi, and Abhilasha Sharma. "SOOP: A swarm-optimized opinion prediction model for S-health governance." Recent Patents on Computer Science 12.4 (2019): 280-292.
30. Kumar, Akshi, and Abhilasha Sharma. "Ontology driven social big data analytics for fog enabled sentic-social governance." Scalable Computing: Practice and Experience 20.2 (2019): 223-236.
31. Kumar, Akshi, and Abhilasha Sharma. "Opinion mining of Saubhagya Yojna for digital India." International Conference on Innovative Computing and Communications: Proceedings of ICICC 2018, Volume 2. Springer Singapore, 2019.
32. Pandey, Harsh, and Abhilasha Sharma. "Social big data analytics using sentiment learning algorithms for smart cities." International Journal of Information Systems & Management Science 1.1 (2018).
33. Sharma, Abhilasha, Nikhil Arora, and Paridhi Sachdeva. "Machine learning based social big data mining for communal welfare." International Journal of Information Systems & Management Science 1.1 (2018).
34. Kumar, Akshi, and Abhilasha Sharma. "Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence." Webology 14.2 (2017).
35. Khatri, Yogita, Abhilasha Sharma, and Akshi Kumar. "Optimal test sequence generation using River Formation Dynamics." 2016 International Conference System Modeling & Advancement In Research Trends (SMART). IEEE, 2016.
36. Kumar, Akshi, and Abhilasha Sharma. "Paradigm shifts from e-governance to s-governance." The Human Element of Big Data. Chapman and Hall/CRC, 2016. 225-246.
37. Sharma, Abhilasha, and Yogita Khatri. "SWOT analysis of search based software engineering." 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2016.
38. Kumar, Akshi, and Abhilasha Sharma. "SWOT analysis of requirements engineering for web applications." J Adv Res Sci Eng 4 (2015): 34-43.
39. Kumar, Akshi, and Abhilasha Sharma. "Alleviating sparsity and scalability issues in collaborative filtering based recommender systems." Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Springer Berlin Heidelberg, 2013.
40. Agarwal, Chesta, and Abhilasha Sharma. "Image understanding using decision tree based machine learning." ICIMU 2011: Proceedings of the 5th international Conference on Information Technology & Multimedia. IEEE, 2011.
41. Kaur, Arvinder, Bharti Suri, and Abhilasha Sharma. "Software testing product metrics-A Survey." National Conference on Challenges & Opportunities in Information Technology. 2007.