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Posts

Blog Post number 4

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Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

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portfolio

publications

Exploiting Real-World Data and Human Knowledge for Predicting Wildlife Poaching

Published in ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018), 2018

Abstract

Poaching continues to be a significant threat to the conservation of wildlife and the whole ecosystem. Estimating and predicting where the poachers have committed or would commit crimes is essential to designing a more effective allocation of patrolling resources. The real-world data in this domain is often sparse, noisy and incomplete, consisting of a small number of positive data (poaching signs), a large number of negative data with label uncertainty, and an even larger number of unlabeled data. Fortunately, domain experts such as the rangers can provide complementary information about the poaching activity patterns. However, such kind of prior knowledge is rarely used in previous approaches.

Recommended citation: Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang. ACM SIGCAS Conference on Computing and Sustainable Societies. COMPASS 2018.

research

Natural Teaching on a Life-sized Humanoid

Published:

Traditional teaching methods are faced up with multiple difficulties. For example, they always neglect the transmission of semantic information and the relation between different sensory information. Hence a novel natural teaching paradigm based on scene-motion cross-modal perception is proposed. Natural teaching is actually a branch of human-robot interaction (HRI) technology, representing a kind of teaching paradigm which is user-friendly and coordinates human and robot in scene comprehension. Fig.1 shows the setup of the life-sized humanoid. Fig.2 and Fig.3 presents the scene-motion perception framework and the control scheme, respectively.

Scalable Production of Nitrogen-doped Carbons

Published:

Nitrogen-doped carbons (NCs) possess superior characteristics and attract interests in many fields, e.g. energy storage, catalysis, separations etc., yet the costly preparation process mainly due to expensive N-containing precursors limits its large-scale application. Furthermore, the low nitrogen content and the poor control of nitrogen species (i.e. pyrrolic, pyridinic, graphitic, and oxide of nitrogen) challenge its industrialization. Hence we are looking for a facile method to prepare NCs, of which the nitrogen content can be higher (~8 wt%), also with a better control of nitrogen species.

Trajectory Generation and Control of Quadrotor

Published:

This project is related to the trajectory generation and control of a quadrotor. For the part of trajectory generation, we implemented B-spline interpolation algorithm with maximum velocity at each point for path tracking. We also improved another state-to-state algorithm [1] for quadrotor trajectory generation between two points. For the part of control, we designed multiple controllers for different functions. Fig. 1 shows the whole framework, which is also a combination of trajectory generation and control. Fig.2 presents the dynamic model of a quadrotor mathematically. Fig.3-Fig.6 are the designed flight controllers for different functions.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.