You are invited to attend a lecture

By:

 Alon Vardi

MIT – Massachusetts Institute of Technology

alonva@mit.edu.ac.il

 III-V nano-scale MOSFETs

InGaAs has emerged as the most promising n-channel material for sub-10 nm CMOS. In this dimensional range, only high aspect-ratio 3D transistors with a fin or nanowire configuration can deliver the necessary performance. To demonstrate these types of advanced devices, we are investigating top-down fabrication techniques. There are many challenges to overcome before such devices could advance the state of art. Some of these are: obtaining Nano-scale contacts, developing high aspect-ratio semiconductor structures with vertical sidewalls, curing etch damage, and obtaining a high quality sidewall MOS interface.

In this talk, I will present key technologies developed in our lab, and their application mainly to InGaAs FinFETs. Using this technology, we have obtained record nanoscale contacts, and demonstrated for the first time III-V FinFETs with sub 10 nm fin width.

 Thursday, October 29, 2015, at 15:00

 Room 011, Kitot building

Yaniv Mordecai

Technion – Israel Institute of Technology

Faculty of Industrial Engineering & Management

Abstract:

System disruption is any introduction of deviation from the nominal behavior, function, or structure applied to, in, or by a system. Disruptions can have both advantageous and adverse impacts. System evolution, interoperability, and autonomy, for instance, are generally advantageous, while risk, uncertainty and complexity are generally adverse. No system acts in a disruption-free environment, and no system can survive without being sufficiently ready for likely disruptions.

Conceptual models of phenomena and systems play a central role in science and engineering, as they enable us to describe and analyze complex natural and artificial systems. Conceptual modeling is significant in situations and contexts of high or extreme variability and complexity. The primary informative power of a model stems from its ability to express and clarify non-trivial information about the system it relates to. However, conventional conceptual modeling frameworks fail to accommodate the specification of disruptive, unordinary, irregular exceptional, anomalous, variant, or stochastic aspects as part of and in sync with the core system model. This deficiency is often due to the inability of the conceptual modeling framework to accommodate disruptive factors. Consequently, disruptions are sometimes described with dedicated conceptual models with ad-hoc syntax, semantics, and ontology. The result is not only loss of information, insight, and potential for understanding of the system in its entirety, but also inconsistency, contradiction, and troubling model maintenance and coordination issues. As a result of this discrepancy, nominal conceptual models fail to provide sufficient informative value to system and model stakeholders, while disruption-centric models, such as risk or failure models, are detached from the core system model. As the system evolves, extraneous models of this nature require constant maintenance and adjustments to the core nominal model and are therefore often neglected or abandoned.

This doctoral thesis proposes a Model-Based Robust Systems Engineering framework, MBROSE, which caters and applies to both the nominal and disruptive factors of complex systems, their models, and the system engineering process. MBROSE is founded on Object Process Methodology, OPM – a holistic conceptual modeling paradigm for multidisciplinary, complex, and dynamic systems and processes. OPM is ISO 19450 standard, and a state-of-the-art conceptual modeling and model-based systems engineering methodology.

MBROSE consists of two primary modules. The first module is a mechanism for model informative value analysis and quantification, which defines how information is generated by and gained from conceptual models. The second module is a catalogue of modeling and design patterns that cater to a host of disruptions, disruptive factors, and disruptive impacts. The introduction of  a wide variety of disruption kinds into conventional models using the proposed patterns is shown to elevate the informative power of conceptual models of systems in a variety of domains, including nuclear reactors, aerospace and defense, and information technology. The value that readers and users can gain from MBROSE is therefore double: (1) MBROSE enables the construction of rich, disruption-informed conceptual models of complex systems, and (2) MBROSE provides the analytical framework to evaluate the contribution of disruption-aware modeling to the informative power of the model. These benefits of MBROSE potentially have a positive impact on the whole model-based systems engineering process, and eventually, on the quality, robustness, and stability of the engineered system.

Yaniv Mordecai is a Ph.D. candidate in systems engineering at the Technion – Israel Institute of Technology, Haifa, Israel, under the advisorship of Prof. Dov Dori. He holds M.Sc. (2010, cum laude) and B.Sc. (2002) degrees in industrial engineering from Tel-Aviv University, Tel-Aviv, Israel. His research interests include cybernetics, model-based systems engineering, risk analysis, decision analysis, interoperable systems, operations research, business intelligence, and computational geometry. He is a proficient and active systems engineer, with expertise in aerospace and defense, information technology, command and control, and avionics systems. During his doctoral studies he has published more than 10 refereed publications including 6 IEEE conf. papers, and won more than 10 awards from IEEE, Society for Risk Analysis, and Israel Ministry of Science and Technology. He has reviewed manuscripts for the IEEE Transactions on Systems, Man, and Cybernetics journal, INCOSE Systems Engineering journal, and Springer.

Abstract:

We consider the problem of scheduling arrivals to a deterministic processor sharing system, i.e. all users in the system at any given time are served simultaneously. In contrast to classical processor sharing congestion models, the processing slowdown is linear with respect to the number of users in the system at any time. This assumption is appropriate when customers do not really share service, but rather slow each other down. For example, this is the case in the transportation network of a business district or when shopping in a big store. For each user there is an ideal departure time (due date). The centralized scheduling goal is then to select arrival times so as to minimize the total penalty due to deviations from ideal times weighted with sojourn times. Due to the dynamics of the system, the scheduling objective function is non-convex even if the individual penalties are convex. We leverage the structure of the problem to derive an exact algorithm for finding the global minimum for a small number of users, and a heuristic algorithm guaranteed to converge to a local minimum for a larger number of users. We further analyse a decentralized variation of the problem as a game in which the users select their own arrival time with the goal of minimizing their individual cost.

Bio :

Liron Ravner is a post-doc in the Department of Operations Research and Statistics at Tel Aviv University, working with Rafi Hassin. Before that Liron was a Ph.D. student in the Department of Statistics at the Hebrew University of Jerusalem, under the supervision of Moshe Haviv. His research interests are in Queueing Theory, Game Theory and Applied Probability. In particular, his work has so far focused on the mathematical modelling of strategic behaviour of customers arriving at stochastic queues.

Joint work with: Yoni Nazarathy, University of Queensland,  Moshe Haviv,  Hebrew University of Jerusalem and  Hai Vu, Swinburne University of Technology