Dr Iti Chaturvedi ~ Lecturer, Information Technology

Social media is a popular platform for sharing experiences on products through text and video. The sheer volume of these reviews makes data cleaning and analysis challenging. Allowing artificial intelligence on social media such as face recognition has resulted in big fines. I am working on an algorithm that can summarise millions of videos in a fraction of a second without the need for manual labelling. As we know that the context of a word changes with the product type. Hence, an approach for domain adaptation is needed so that we don’t need to retrain the model.

Teaching

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

Experience

• 2014 to 2019 - Research Fellow, Nanyang Technological University (Singapore)

Research Disciplines

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

Socio-Economic Objectives

• Information systems, technologies and services (2204)
• Expanding knowledge (2801)

Awards

• 2020 to 2021 - Early career researcher JCU CSE
• 2018 to 2021 - Author Rank 8 Artificial Intelligence Citations per publication
• 2008 to 2012 - Nanyang Technological University PhD Scholarship
• 1998 to 2002 - NUS Singapore Airlines Engineering scholarship

Memberships

• 2023 - Associate editor for Expert Systems journal
• 2022 - EMNLP Conference Area Chair
• 2021 - Associate editor for Transactions in Affective Computing journal
• 2020 - ARC Assessor
• 2019 - Senior PC member for IJCNN conference.

Other

• 2020 - High number of clones from my GitHub Repository

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, Cambria E and Welsch R (2023) Teaching Simulations Supported by Artificial Intelligence in the Real World. Education Sciences, 13 (2).
• Chaturvedi I, Noel T and Satapathy R (2022) Speech Emotion Recognition Using Audio Matching. Electronics, 11 (23).
• Chaturvedi I, Chen Q, Welsch R, Thapa K and Cambria E (2022) Gaussian correction for Adversarial learning of Boundaries. Signal Processing-Image Communication, 109.
• Chaturvedi I, Cambria E, Chen Q and McConnell D (2022) Landmark calibration for facial expressions and fish classification. Signal, Image and Video Processing, 16 (2). pp. 377-384
• Chaturvedi I, Thapa K, Cavallari S, Cambria E and Welsch R (2021) Predicting video engagement using heterogeneous DeepWalk. Neurocomputing, 465. pp. 228-237
• Chaturvedi I, Chit L and Welsch R (2021) Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks. Cognitive Computation, 13. pp. 96-107
• Chen Q, Chaturvedi I, Ji S and Cambria E (2021) Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognition Letters, 150. pp. 115-121
• 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
• 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

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

More

ResearchOnline@JCU stores 31+ research outputs authored by Dr Iti Chaturvedi from 2015 onwards.

The map shows research collaborations by institution from the past 7 years.
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