Dr. Srishti joins University of Southampton Delhi in July 2026 as Assistant Professor of Computer Science. She possesses over 12 years of experience in Computer Science and Artificial Intelligence across teaching, research, and academic leadership roles. She completed M.Tech in Information Systems from Delhi Technological University and Ph.D. from University of Delhi in the domain of Natural Language Processing. Previously, she served as Associate Professor and AIML Lead at The NorthCap University, where her multifaceted contributions were recognized with several institutional awards including the Best Teacher Award (2022), Academic Research Scholarship Award (2024), and Star Performer Award (2025).
Her research focuses on developing intelligent and human-centred AI systems with applications in healthcare analytics, multimodal sentiment analysis, fake news detection, social media analytics, explainable AI, and computational linguistics. Dr. Srishti has published extensively in leading international journals and conferences. A strong proponent of translating foundational AI into real-world solutions, her innovation portfolio includes a granted German patent in AI-enabled ADHD diagnostics and a published Indian patent on intelligent systems for perishable commodity storage.
As a Principal Investigator, she has spearheaded an international, multi-institutional sponsored research project titled “Robust and Hybrid Deep Ensemble Framework for Accurate Prediction of Attention-Deficit Hyperactivity Disorder with Uncertainty Quantification”, involving researchers from Egypt, South Korea, and India. Translating advanced AI research into real-world enterprise solutions, she has successfully completed a consultancy assignment with Volkswagen involving Multimodal AI Chatbot Development using Large Language Models (LLMs). In addition, she holds professional certifications in cloud architecture and generative AI frameworks from Microsoft, Amazon Web Services, and Pearson.
Dr. Srishti is deeply committed to advancing global academic engagement and leadership. She serves on the Editorial Board of the Springer Nature journal Scientific Reports and as an expert reviewer for several reputed international journals in the field of Artificial Intelligence. Furthermore, she has held global leadership responsibilities as the Vice-Chairperson (Programs and Initiatives) for IEEE Computer Society’s Students and Young Professionals Committee (2024–2025) and was honored with the prestigious IEEE Computer Society Executive Leadership Award in 2024.
Sumit Pandey, Srishti Sharma, “A comparative study of retrieval-based and generative-based chatbots using Deep Learning and Machine Learning”, Healthcare Analytics, Elsevier, Volume 3,2023,100198, ISSN 2772-4425. (Q1)
Sumit Pandey, Srishti Sharma, Samar Wazir, “Mental healthcare chatbot based on Natural Language Processing and Deep learning approaches: Ted the therapist”, Int. j. inf. tecnol.,Springer, 14, 3757–3766 (2022).
Mala Saraswat, Srishti Sharma, “Leveraging Genre Classification with RNN for Book Recommendation”, Int. j. inf. tecnol., Springer, 14, 3751–3756 (2022).
Srishti Sharma, Mala Sarawat, “A Robust Approach for Aspect-based Sentiment Analysis using Deep Learning and Domain Ontologies”, The Electronic Library, Vol. 42 No. 3(2024), pp. 498-518
Shampa Chakraverty, Srishti Sharma, and Ikshu Bhalla, “Emotion-Location Mapping and Analysis Using Twitter”, Journal of Information and Knowledge Management, WorldScientific Publishers,14,1550022 (2015) [16 pages] DOI:10.1142/S0219649215500227.
Srishti Sharma, Shampa Chakraverty, Akhil Sharma, Jasleen Kaur, “A Context Based Algorithm for Sentiment Analysis”, International Journal of Computational Vision and Robotics, InderScience Publishers, Volume 7, Issue 5, 2017
Srishti Sharma, Shampa Chakraverty, “Sarcasm Detection in Online Review Text”, ICTACT Journal on Soft Computing, April 2018, Volume: 08, Issue: 03.
Vaishali Kalra, Rashmi Agarwal, Srishti Sharma, “Development of a Domain Adaptive Sentiment Classification Model”, Mechatronic Systems and Control, Vol. 50, No. 2, 2022. Special Issue: Intelligent control using deep learning and its applications in Assistive Systems
Srishti Sharma, Kanika Aggarwal, Palak Papneja, Saheb Singh, “Extraction, Summarization and Sentiment Analysis of Trending Topics on Twitter”, Proceedings of the Eighth International Conference on Contemporary Computing, 2015, Pages:295- 301, DOI:10.1109/IC3.2015.7346696
Seba Susan, Srishti Sharma, “A Fuzzy Nearest Neighbor Classifier for Speaker Identification”, CICN ’12 Proceedings of the 2012 Fourth International Conference on Computational Intelligence and Communication Networks, Pages: 842-845, DOI:10.1109/CICN.2012.16.
Srishti Sharma, Shampa Chakraverty, “Tracking Context Switches in Text Documents and its Application to Sentiment Analysis”, 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE).
Srishti Sharma, Shampa Chakraverty, “An Approach to Track Context Switches in Sentiment Analysis”, Progress in Advanced Computing and Intelligent Engineering, Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore pp 273- 2.
Srishti Sharma, Shampa Chakraverty, Anisha Jauhari, “Leveraging Polarity Switches and Domain Ontologies for Sentiment Analysis in Text”, Computational Intelligence, Communications, and Business Analytics. CICBA Communications in Computer and Information Science, vol 775. Springer, Singapore.
Srishti Sharma, Vaishali Kalra, (2021), “Fuzzy Lexicon Based Approach for Sentiment Analysis of Blog and Microblog Text”, In: Kumar, R., Quang, N.H., Kumar Solanki, V., Cardona, M., Pattnaik, P.K. (eds) Research in Intelligent and Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1254. Springer, Singapore.
Vaishali Kalra, Srishti Sharma, Poonam Chaudhary (2021), “Depression Detection in Cancer Communities Using Affect Analysis”, In: Marriwala, N., Tripathi, C.C., Kumar, D., Jain, S. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 140. Springer, Singapore.
Poonam Chaudhary, Vaishali Kalra, Srishti Sharma,”A hybrid machine learning approach for Customer Segmentation using RFM analysis”, International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020), Accepted for
Srishti Sharma, Yatharth Piplani, (2021), “Comparative analysis of seam carving in images”, In: Goyal, D., Gupta, A.K., Piuri, V., Ganzha, M., Paprzycki, M. (eds) Proceedings of the Second International Conference on Information Management and Machine Intelligence. Lecture Notes in Networks and Systems, vol 166. Springer, Singapore.
Srishti Sharma, Mala Saraswat, Anil Kumar Dubey (2021), “Fake News Detection using Deep Learning”, In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham.
Srishti Sharma, Mala Saraswat, Anil Kumar Dubey (2022), “Multi-aspect Sentiment Analysis Using Domain Ontologies”, In: Villazón-Terrazas, B., Ortiz-Rodriguez, F., Tiwari, S., Sicilia, MA., Martín-Moncunill, D. (eds) Knowledge Graphs and Semantic Web. KGSWC 2022. Communications in Computer and Information Science, vol 1686. Springer, Cham.
Sumit Pandey, Srishti Sharma, “Meta Learned Word Embeddings for Few-Shot Sentiment Classification”, Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SMART 2023. Lecture Notes in Networks and Systems, vol 645. Springer, Singapore.
Sumit Pandey, Srishti Sharma, “ML algorithms used to classify Neuro-Development
Disorders: A Review”, 2023 6th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, 2023, pp. 1-5, doi: 10.1109/ISCON57294.2023.10112157.
Soumya Sharma, Srishti Sharma, Deepak Gupta, “Multimodal Sentiment Analysis and Multimodal Emotion Analysis: A review”, In: Fortino, G., Kumar, A., Swaroop, A., Shukla, P. (eds) Proceedings of Third International Conference on Computing and Communication Networks. ICCCN 2023. Lecture Notes in Networks and Systems, vol 917. Springer, Singapore.
Soumya Sharma, Srishti Sharma, Deepak Gupta, “Unveiling Emotions in the Digital Arena: Sentiment Analysis of YouTube Comments on FIFA World Cup 2022”, 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2023, pp. 994-997, doi: 10.1109/ICTACS59847.2023.10390309.
Srishti Sharma, Shreyansika Jain, Saurabh and Satyam Kuhar, “Fake Currency Detection using Image Processing,” 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2024, pp. 1-6, doi: 10.1109/ISCS61804.2024.10581207.
Sarita Yadav, Srishti Sharma, Poonam Chaudhary, “Review on Advancement in Machine Learning and Deep Learning Techniques for Crop Classification”, in: Advancements in Communication and Systems. Ed. by Ashish Kumar Tripathi and Vivek Shrivastava. Computing and Intelligent Systems, SCRS, India., 2023, pp. 593 610. doi:
Rana, M., Chhikara, R., Sharma. S, “Computational Metaphor Processing: A review”, 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit), Greater Noida, India, 2024, pp. 618-623, doi: 10.1109/GlobalAISummit62156.2024.10947867.
Srishti Sharma, Poonam Chaudhary, “Multimodal Framework for Prediction of Attention Deficit Hyperactivity Disorder”, International Conference on Artificial Intelligence and Networking (ICAIN 2025), Accepted and presented.
Soumya Sharma, Srishti Sharma, Deepak Gupta, “Unveiling Sentiment in IMDb Reviews: Benchmarking Machine Learning, Deep Learning, and Large Language Models” 3rd International Conference on Communication Technology Research & Data Analytics (ICCTRDA 2025), Accepted & Presented
Soumya Sharma, Srishti Sharma, and Deepak Gupta (2026). Uniting Modalities: Advancing Multimodal Sentiment Analysis for Deeper Emotional Insights. In: Nguyen, GN., Swaroop, A., Shukla, P. (eds) Proceedings of Fifth International Conference on Computing and Communication Networks. ICCCN 2025. Lecture Notes in Networks and Systems, vol 1836. Springer, Cham.
Srishti Sharma, Vaishali Kalra, “Depression Discovery in Cancer Communities using Deep Learning”, Handbook of Deep Learning in Biomedical Engineering (2020), Elsevier, Pages 123-154,
Srishti Sharma, Virendra Pratap Singh (2022), “Tech to TakeCare: IoT based Smart System for Real Time Supervision”, In: Rodrigues, J.J.P.C., Agarwal, P., Khanna, K. (eds) IoT for Sustainable Smart Cities and Society. Internet of Things. Springer, Cham.
Poonam Chaudhary, Nikki Rani, Diksha Agarwal, Srishti Sharma, “Temporal Normalization and Brain Image Analysis for Early‐Stage Prediction of Attention Deficit Hyperactivity Disorder (ADHD)”, in Generative Artificial Intelligence for Biomedical and Smart Health Informatics (2025).
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