Speakers

Speaker 1: Prof. Faisal L. Kadri
University of Wales in Cardiff, UK
Faisal L. Kadri, PhD Obtained PhD in Nonlinear Control Systems Engineering from the University of Wales in Cardiff, UK, in 1974. Professional Path: Persued a career in Test and Measurement instrumentation starting with Hewlett Pack- ard, retired professionally in 2016. Cybernetics Path: Interest in Cybernetics was parallel to engineering profession. The type of mathematics learnt in PhD research (Nonlinear Integral Equations) lends itself to the analysis of living systems, as non- linear yet stable regulators, a process also known as homeostasis. Background reading in animal behav- iour showed that there was no agreement on a taxonomy of motivation except the broad division between priming and homeostatic behaviours. Priming is a well studied mechanism, it relates to animal learning, Pavlovian and intelligent animal behaviours. The mechanism of homeostasis was less understood, so the mathematics of nonlinear systems were the basis of proposed models of priming[1] and homeostasis[2]. The two mechanisms were combined to form a mathematical model of animal motivation[3]. Other than priming vs. homeostatic, the model of motivation did not explain qualitative differences of moti- vations. However, motivations had quantitative distinctions which can be explained and expanded in cy- bernetics; the dynamics or speed of change of a motivation relates to its bandwidth and the "requisite vari- ety" of its manifestations. The taxonomy or classification of animal motivations parallels with traits of hu- man personality models, so a software based artificial personality was patented in 2010[4]. The artificial personality comprises two chattering heads (George and Mary) creating artificial conversation from motiva- tional repertoires of sentences. Unlike other chatterbots, there is no linguistic processing in George and Mary. Subsequent research addressed the validation and characteristics of George and Mary's taxonomy of sen- tences, described as the Age Trend Classification (ATC). Statistical evidence supporting age dependence of ATC was published in 2011[5], the first attempt to find empirical evidence linking ATC and Big 5 person- ality traits was published in 2013[6] and the differences between cognitive linguistics and motivational taxonomy was investigated in 2014[7]. Age dependence makes it difficult to make full comparison between ATC and personality traits, a novel ap- proach of using statistical signature analysis was introduced in 2015[8]. Signature analysis was used in comparing the perception of English sentences and their Russian translation [9]. The comparison showed that differences and accuracy of translation can be demonstrated graphically. Areas of future investigation: Age and gender (ATC) link with personality (Big 5) traits, Language/cultural differences in perception of sentences.(Download Presentation PPT Here)


Speaker 2: Xinhua Li
Space Star Technology Co., Ltd, Beijing, China
Xinhua Li received the Bachelor’s degree in electrical engineering from Dalian University of Technology(DLUT), Dalian, China, in 2000 and the master’s degree in aerospace vehicle design from China Academy of Space Technology(CAST) in 2004, Beijing, China. After graduation, he joined in CAST as a signal processing hardware engineer. He has been devoted to satcom signal modulation and demodulation technology and aircraft telemetry and control technology for seven years. He became a senior system design engineer in 2011 and was responsible for several domestic and international HTS ground application system design. His current research interests include next generation VHTS communication system and LEO satellite constellation internet access system. Since 2018, he has published seven(7) academic papers in related fields. (Download Presentation PPT Here)



 

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