tracks
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Information Management Engineering
Ongoing developments in information technologies are enabling the creation of information systems in a variety of fields, with an ever-increasing scale and sophistication. At the same time, users’ demands from information systems are also growing. Information system engineers are required to develop applications and products whose complexity and intricacy are constantly increasing. These systems utilize the latest technologies such as communication and distributed systems, command and control using artificial intelligence, data organization and retrieval, organizational resource management systems, e-commerce systems, integrated hardware and software systems and decision support systems. Continue Reading Information Management Engineering
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Data Science
In an era where information is created at a dizzying pace and changes constantly and decisions require the creation of in-depth analysis, the ability to make sense of large quantities of data is a necessary and sought-after power. A master’s degree in Data Science offers tools and knowledge that will enable you to face the great challenges of the 21st century in all areas of life: medicine, social media, finance, urban planning, smart cities and more. Continue Reading Data Science
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labs
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The Probability and Stochastic Processes Group at the Technion
The Probability and Stochastic Processes group at the Technion spans three faculties: Electrical and Computer Engineering (ECE), Data and Decision Sciences (DDS), and Mathematics (M). The group comprises over 10 full-time faculty members, along with short- and long-term visitors, post-doctoral fellows, and graduate students. Research within the group covers a wide range of topics, including stochastic differential equations, random spatial geometry, stochastic processes, topological data analysis, interacting particle systems, statistical mechanics, and more. Continue Reading The Probability and Stochastic Processes Group at the Technion
seminars
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Reduction theory in the non-stationary setup
Abstract: The central limit theorem (CLT) is one of the main results in probability theory. Its local version (LCLT) has origins in the De Moivre-Laplace theorem and it precedes it in that sense. For partial sums of certain classes of stationary processes the LCLT is tied up with reducibility of stochastic processes to lattice valued random variables. By now… Continue Reading Reduction theory in the non-stationary setup
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Sharp phase transitions for k-fold coverage using Morse theory
Abstract: The study of random k-fold coverage explores when every point in a “big set” is covered by at least k “small sets” whose centres are randomly placed. This problem arises in many fields, with applications in wireless networks, sensor deployment, stochastic geometry etc. Motivated by advances in the field of random topology, in this… Continue Reading Sharp phase transitions for k-fold coverage using Morse theory
