Specialization

Computer Vision, Multimodal Data Analysis, Deep Learning, Sentiment Analysis

Email

ananya.pandey@thapar.edu

Education
1.    PhD in Information Technology from Delhi Technological University, New Delhi.
•    Title – “Design of Framework for Sentiment Analysis using Deep Learning”. 
2.     M.Tech in Computer Engineering, from Jamia Millia Islamia University, New Delhi.
3.    B.Tech in Computer Science and Engineering, from Jamia Hamdard University, New Delhi.
4.    Schooling from St. Thomas Senior Secondary School Mainpuri, Uttar Pradesh (ICSE Board).

Trainings
1.    Certifications in various QIPs/FDPs from organizations like IITs, NIT, AICTE etc.
2.    Worked as a “Digital Marketing” Intern in “Find IT Solutions Pvt. Ltd”. for its one of the projects i.e. “Media Today Online” during 11th May 2016 – 06th July 2016.
3.    Certificate for participating in one-day workshop on “Intellectual Property Rights (IPRs) and IP Management for Startup” organized by Department of Information Technology in collaboration with IIC, Delhi Technological University on 23rd May 2023.
4.    Worked as a member of organising committee in one-week short term course on “Recent trends in Machine Learning and Deep Learning for AI Applications” organized by Department of Information Technology, Delhi Technological University during 5th-9th June 2023.
5.    Delivered an expert talk on “Demonstration on AI Tools Pytorch and OpenCV” in online faculty development programme organized by, Institute Industry Linkage Cell, Department of CSE/IT, Jaypee Institute of Information Technology, Noida on “Artificial Intelligence Tools” during 28th June 2023 – 3th July 2023.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (August 2024 - present)
2.    Teaching Assistantship, Department of Information Technology, Delhi Technological University formerly (DCE), Delhi, India (August 2021 – July 2024)

Journal publications
1.    Ananya Pandey and D. K. Vishwakarma, “VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing,” Knowledge-Based Systems, vol. 269, June. 2023, doi: https://doi.org/10.1016/j.knosys.2023.110515. (Impact Factor-8.8, SCI Indexed).
2.    Ananya Pandey and D. K. Vishwakarma, “Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey,” Applied Soft Computing, vol. 152, November. 2024, doi: https://doi.org/10.1016/j.asoc.2023.111206. (Impact Factor-8.7, SCI Indexed).
3.    Ananya Pandey and D. Kumar Vishwakarma, “Target-Dependent Multimodal Sentiment Recognition Via a Visual-to-Emotional-Caption Translation Network using Visual-Caption Pairs.” https://doi.org/10.48550/arXiv.2408.10248. 
4.    Ananya Pandey and D. K. Vishwakarma, “Contrastive Learning-based Multi-Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs.” https://doi.org/10.48550/arXiv.2408.02571.
5.    Ananya Pandey and D. K. Vishwakarma, “VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features.” Under Review in Multimodal User Interface (Pub: Springer). https://doi.org/10.48550/arXiv.2408.10246. 
6.    Sajal Aggarwal, Ananya Pandey, D. K. Vishwakarma, "Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection." Under Review in Neural Computing and Applications, (Pub: Springer). https://doi.org/10.48550/arXiv.2408.02595. 

Conference publications
1.    Ananya Pandey and D. K. Vishwakarma, “Multimodal Sarcasm Detection (MSD) in Videos using Deep Learning Models,” in 2023 IEEE International Conference in Advances in Power, Signal, and Information Technology (APSIT), Institute of Electrical and Electronics Engineers (IEEE), Jun. 2023, pp. 811-814. doi: 10.1109/APSIT58554.2023.10201731.
2.    Ananya Pandey and D. K. Vishwakarma, “Attention-based Model for Multi-modal sentiment recognition using Text-Image Pairs,” in 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Institute of Electrical and Electronics Engineers (IEEE), March. 2023, pp. 1–5. doi: 10.1109/ICITIIT57246.2023.10068626.
3.    Pankaj Gupta, Ananya Pandey, and D. K. Vishwakarma, “Attention-free based dual-encoder mechanism for Aspect-based Multimodal Sentiment Recognition,” in 2023 IEEE International Conference in Advances in Power, Signal, and Information Technology (APSIT), Institute of Electrical and Electronics Engineers (IEEE), Jun. 2023, pp. 534-539. doi: 10.1109/APSIT58554.2023.10201711. 
4.    S. Aggarwal, Ananya Pandey, and D. K. Vishwakarma, “Multimodal sarcasm recognition by fusing textual, visual and acoustic content via multi-headed attention for video dataset,” in 2023 World Conference on Communication & Computing (WCONF), Institute of Electrical and Electronics Engineers (IEEE), July. 2023, pp. 1-5. doi: 10.1109/WCONF58270.2023.10235179. 
5.     S. Kapoor, S. Gulati, S. Verma, Ananya Pandey, and D. K. Vishwakarma, “Multimodal Architecture for Sentiment Recognition via employing Multiple Modalities,” in 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Institute of Electrical and Electronics Engineers (IEEE), May. 2024, pp. 435- 439. doi: 10.1109/InCACCT61598.2024.10551131.

Peer reviewer for Journals
1.    Knowledge Based Systems, Elsevier.
2.    Neural Networks, Elsevier.
3.    Expert Systems with Applications, Elsevier.
4.    IEEE Transactions on Affective Computing, IEEE.

Honours and Achievements
1.    Qualified UGC-NET and UGC-JRF 2020.

2.    Qualified Graduate Aptitude Test in Engineering (GATE) in 2021.

3.    Received Best Paper Award in 2nd International Conference on Advances in Power, Signal, and Information Technology (APSIT) 2023 for the paper entitled “Multimodal Sarcasm Detection (MSD) in Videos using Deep Learning Models”.

4.    Received Commendable Research Excellence Award with a prize money from Delhi Technological University for the paper entitled “VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing,” Published in Knowledge-Based Systems (Elsevier), vol. 269, June. 2023, doi: https://doi.org/10.1016/j.knosys.2023.110515. 

Website and Social Links
Google Scholar Link - https://scholar.google.com/citations?user=kB2SxU8AAAAJ&hl=en 
Research Gate Link - https://www.researchgate.net/profile/Ananya-Pandey-6 
LinkedIn Link - https://www.linkedin.com/in/ananya-pandey-aa065bb6/