2026 Mohan S. Kankanhalli: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	73	1595	1548	27	27	495	20604

Research.com Recognitions

2014 - IEEE Fellow For contributions to multimedia content processing and security

Overview

Mohan S. Kankanhalli is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on the field of Computer Science, with a substantial number of publications covering various subfields and topics within this domain.

The main subfields of study addressed by their work include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Information Systems
Computational Mechanics
Signal Processing

In terms of research topics, Kankanhalli's work spans several areas such as:

Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications

Their recent notable publications include:

"Hallucination is Inevitable: An Innate Limitation of Large Language Models," published in 2024 in arXiv (Cornell University)
"DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning," published in 2020 in IEEE Transactions on Multimedia
"Fast Yet Effective Machine Unlearning," published in 2023 in IEEE Transactions on Neural Networks and Learning Systems
"Zero-Shot Machine Unlearning," published in 2023 in IEEE Transactions on Information Forensics and Security
"Attacks Which Do Not Kill Training Make Adversarial Learning Stronger," published in 2020 in arXiv (Cornell University)

The most frequent publication venues for Kankanhalli's work include:

arXiv (Cornell University)
IEEE Transactions on Multimedia
ACM Transactions on Multimedia Computing Communications and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborations have been established with several co-authors, among whom are:

Yongkang Wong
Liqiang Nie
Zhiyong Cheng
Murari Mandal
Hehe Fan

Kankanhalli was recognized as an IEEE Fellow in 2014 for contributions to multimedia content processing and security.

Best Publications

Multimodal fusion for multimedia analysis: a survey

Pradeep K. Atrey;M. Anwar Hossain;Abdulmotaleb El Saddik;Mohan S. Kankanhalli

1438
Citations
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda

Ashraf Abdul;Jo Vermeulen;Danding Wang;Brian Y. Lim

772
Citations
Shape measures for content based image retrieval: a comparison

Babu M. Mehtre;Mohan S. Kankanhalli;Wing Foon Lee

631
Citations
Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

An-An Liu;Yu-Ting Su;Wei-Zhi Nie;Mohan Kankanhalli

414
Citations
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition.

Yu Hu;Yongkang Wong;Wentao Wei;Yu Du

377
Citations
Predicting human gaze beyond pixels

Juan Xu;Ming Jiang;Shuo Wang;Mohan S. Kankanhalli

366
Citations
Verfahren und Vorrichtung zur Kontrolle der Verbreitung von digitaler Information

Arcot D Narasimhalu;Weiguo Wang;Mohan S Kankanhall Kankanhalli

356
Citations
Color matching for image retrieval

Babu M. Mehtre;Mohan S. Kankanhalli;A. Desai Narasimhalu;Guo Chang Man

334
Citations
Anonymous secure routing in mobile ad-hoc networks

Bo Zhu;Zhiguo Wan;M.S. Kankanhalli;Feng Bao

330
Citations
Learning to Learn From Noisy Labeled Data

Junnan Li;Yongkang Wong;Qi Zhao;Mohan S. Kankanhalli

325
Citations
Depth Matters: Influence of Depth Cues on Visual Saliency

Congyan Lang;Tam V. Nguyen;Harish Katti;Karthik Yadati

318
Citations
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Zhiyong Cheng;Ying Ding;Lei Zhu;Mohan Kankanhalli

298
Citations
An eye fixation database for saliency detection in images

Subramanian Ramanathan;Harish Katti;Nicu Sebe;Mohan Kankanhalli

287
Citations
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface

Wentao Wei;Yongkang Wong;Yu Du;Yu Hu

281
Citations
Audio Based Event Detection for Multimedia Surveillance

P.K. Atrey;N.C. Maddage;M.S. Kankanhalli

280
Citations
Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning

Wentao Wei;Qingfeng Dai;Yongkang Wong;Yu Hu

250
Citations
Creating audio keywords for event detection in soccer video

Min Xu;N.C. Maddage;Changsheng Xu;M. Kankanhalli

235
Citations
A DCT domain visible watermarking technique for images

S.P. Mohanty;K.R. Ramakrishnan;M.S. Kankanhalli

225
Citations
MMALFM: Explainable Recommendation by Leveraging Reviews and Images

Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

221
Citations
Verfahren zur Verwendung von Mediuminhomogenitäten zur Minimierung unbefugter Vervielfältigung digitaler Daten

Desai Narasimhalu Arcot;Weiguo Wang;Mohan Shankara Kankanhalli

209
Citations
Progressive color visual cryptography

Duo Jin;Wei-Qi Yan;Mohan S. Kankanhalli

205
Citations

Frequent Co-Authors

Qi Zhao University of Minnesota

Changsheng Xu Chinese Academy of Sciences

Ramesh Jain University of California, Irvine

Qi Tian Huawei Technologies (China)

Tat-Seng Chua National University of Singapore

Joo-Hwee Lim Agency for Science, Technology and Research

Liqiang Nie Shandong University

Shuicheng Yan National University of Singapore

Zhiyong Cheng Qilu University of Technology

Sharad Mehrotra University of California, Irvine

External Links

Personal website of Mohan S. Kankanhalli Google Scholar page

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