Industrial symbiosis and the successional city : adapting exchange networks to energy constraints by Terway, Timothy M. (Timothy Michael)

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A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings by Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua

“…The study is substantiated with extensive real human experiments in controlled thermal environment. …”
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Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…A UDhashing scheme is proposed to unify the macroscopic human biometric and microscopic silicon entropy into a single identity by projecting the contactless facial biometric into a PUF- defined random space. …”
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Energy storage management for renewable energy systems by Feng, Xue

“…Excess dependence on fossil fuels and hence large amount of carbon emission overloads the atmosphere of the earth and causes global warming which poses negative impacts on the sustainability development of the human being. The increasing carbon emission is largely due to the deployment of the carbon intensive electricity generation based on fossil fuels. …”
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Malware detection and analysis in Android applications with mobile security framework (MobsF) using a permission-based approach by Kizito, Mark, Homayounvala, Elaheh, Kazemian, Hassan, Araujo, Istteffanny Isloure

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Evaluating & enhancing deep learning systems via out-of-distribution detection by Christopher, Berend David

“…Finally, we introduce OOD defense approaches against two novel DL threats which fully evade traditional defenses. …”
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Representation learning in the artificial and biological neural networks underlying sensorimotor integration by Suhaimi, Ahmad, Lim, Amos W. H., Chia, Xin Wei, Li, Chunyue, Makino, Hiroshi

“…The integration of deep learning and theories of reinforcement learning (RL) is a promising avenue to explore novel hypotheses on reward-based learning and decision-making in humans and other animals. Here, we trained deep RL agents and mice in the same sensorimotor task with high-dimensional state and action space and studied representation learning in their respective neural networks. …”
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Advanced data analytics for future smart grid stability assessment by Ren, Chao

“…The outcomes of this Ph.D. research will enable a more secure, intelligent, and knowledge-transparent future of the next-generation smart grid. …”
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Persuasive teachable agent for intergenerational learning by Lim, Su Fang

“…Teachable agents are artificial intelligent computer agents designed around the pedagogical concept that students learn better when they teach others. …”
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Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

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