Dr Iti Chaturvedi ~ Lecturer, Information Technology

My PhD was on dynamic Bayesian networks with application to time series of Gene expression. I was born in Delhi and moved to Singapore after high-school !

Sentiments in written text:

Product reviews are constantly posted online on websites like Amazon. Natural language processing aims at automatic summarization and recommendation using written text. I am particularly fascinated by chatbots that can converse like humans:)

Facial expression classification :

We can predict the emotional state of a person from his facial expression. Convolutional neural networks have shown high accuracy in classifying images. Recently, I have also developed a model for underwater fish classification.

Teaching

• CP1403: Design Thinking (Level 1; TSV)
• CP1405: Gamification (Level 1; TSV)
• CP1407: Introductory Machine Learning and Data Science (Level 1; TSV)
• CP2403: Information Processing and Visualisation (Level 2; TSV)
• CP2405: Collective Intelligence and Entrepreneurship (Level 2; TSV)
• CP3413: Information Processing and Visualisation (Level 3; CNS & TSV)
• CP5635: Collective Intelligence and Entrepreneurship (Level 5; TSV)
• CP5641: Design Thinking Principles (Level 5; CNS & TSV)

Experience

• 2015 to 2019 - Research Fellow, Nanyang Technological University (Singapore)
• 1998 to 2002 - B. Eng. ( Electrical and Computer ), National University of Singapore (Singapore)

Research Disciplines

• Artificial intelligence (4602)
• Machine learning (4611)
• Computer vision and multimedia computation (4603)

Awards

• 2020 to 2021 - Early career researcher JCU CSE
• 2008 to 2012 - Nanyang Technological University PhD Scholarship
• 1998 to 2002 - Singapore Airlines Engineering scholarship

Memberships

• 2020 - ARC Assessor
• 2019 - Area Chair for International Joint Conference on Neural Networks

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Chaturvedi I, Chit L and Welsch R (2021) Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks. Cognitive Computation, 13, pp. 96-107, DOI:10.1007/s12559-020-09807-4.
• Valdivia A, Martínez-Cámara E, Chaturvedi I, Luzón M, Cambria E, Ong Y and Herrera F (2020) What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing, 11, pp. 39-52, DOI:10.1007/s12652-018-1150-3.
• Yang H, Ji S, Chaturvedi I, Xia H, Wang T, Chen G, Pan L, Wan C, Qi D, Ong Y and Chen X (2020) Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring. ACS Materials Letters, 2 (5), pp. 478-484, DOI:10.1021/acsmaterialslett.0c00085.
• Chaturvedi I, Satapathy R, Cavallari S and Cambria E (2019) Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters, 125, pp. 264-270, DOI:10.1016/j.patrec.2019.04.024.
• Valdivia A, Hrabova E, Chaturvedi I, Luzón M, Troiano L, Cambria E and Herrera F (2019) Inconsistencies on TripAdvisor reviews: a unified index between users and Sentiment Analysis Methods. Neurocomputing, 353, pp. 3-16, DOI:10.1016/j.neucom.2018.09.096.
• Chaturvedi I, Ragusa E, Gastaldo P, Zunino R and Cambria E (2018) Bayesian network based extreme learning machine for subjectivity detection. Journal of The Franklin Institute, 355 (4), pp. 1780-1797, DOI:10.1016/j.jfranklin.2017.06.007.
• Chaturvedi I, Cambria E, Welsch R and Herrera F (2018) Distinguishing between facts and opinions for sentiment analysis: survey and challenges. Information Fusion, 44, pp. 65-77, DOI:10.1016/j.inffus.2017.12.006.

Conference Papers

• Chaturvedi I, Ragusa E, Gastaldo P and Cambria E (2020) COAL: convolutional online adaptation learning for opinion mining. International Conference on Data Mining. In: ICDMW 2020: International Conference on Data Mining, 17-20 November 2021, Sorrento, Italy
• Chaturvedi I and Xiang J (2020) Constrained manifold learning for videos. Proceedings of the IEEE International Joint Conference on Neural Networks. In: IJCNN 2020: IEEE International Joint Conference on Neural Networks, 19-24 July 2020, Glasgow, UK
• Chaturvedi I, Cambria E, Cavallari S and Welsch R (2020) Genetic programming for domain adaptation in product reviews. Proceedings of the IEEE Congress on Evolutionary Computation. In: CEC 2020: IEEE Congress on Evolutionary Computation, 19-24 July 2020, Glasgow, UK
• Qian C, Chaturvedi I, Poria S, Cambria E and Malandri L (2019) Learning visual concepts in images using temporal convolutional networks. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. In: SSCI 2018: IEEE Symposium Series on Computational Intelligence, 18-21 November 2018, Bengalaru, India
• Young T, Cambria E, Chaturvedi I, Zhou H, Biswas S and Huang M (2018) Augmenting end-to-end dialogue systems with commonsense knowledge. Proceedings of the 32nd AAAI Conference on Artificial Intelligence. In: AAAI-18: 32nd AAAI Conference on Artificial Intelligence, 2-7 February 2018, New Orleans, LA, USA

More

ResearchOnline@JCU stores 25+ research outputs authored by Dr Iti Chaturvedi from 2015 onwards.

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

• Development and Application of Sustainable Groundwater Management Strategy utilizing Multi-objective Planning Models to Control Saltwater Intrusion in Coastal Aquifers in Tropical Regions.;; (PhD , Secondary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.