Event Details
Please note, the event is only open to the NYUAD Community
The Engineering Division at NYU Abu Dhabi, in collaboration with the Office of Inclusion and Equity, is devoted to educating future engineers and aims to educate the community on how IDBE and Engineering are tied in our daily life, in terms of education and practices. Therefore, we established the Engineering IDBE Seminar Series at the core of our mission. The virtual monthly seminars will be attended by students, researchers, staff, and faculty from Engineering as well as from the diverse family of NYU Abu Dhabi. Click here for details on the talks scheduled for this year and to learn more about Engineering IDBE.
Engineering conducts a well-structured seminar series with speakers and experts from the region and around the globe. The seminars will take place via Zoom on Sundays from 11am-12pm unless otherwise stated.
A theorem is proved, demonstrating that net-benefit maximizing maintenance strategies calculated with or without discounting lead to the same ranking of strategies under certain specific circumstances. The circumstances are referred to as a uniform network. They represent, as a mathematical abstraction, the application of a given maintenance strategy to a large network or, equivalently, calculating the expected value of a given strategy over a potential starting point. The ability to drop discounting from the formulations of these problems provides a significant mathematical simplification and therefore expands the set of maintenance optimization problems that can be solved analytically. Further, since infrastructures tend to last a long time, discounting tends to play a non-negligible role in the selection of the optimal strategy. Therefore, eliminating discounting during the search for the optimal strategy is very useful. An example application of the theorem is provided as a case study using an established pavement design equation.
Speaker:
Craig Richmond, ETH Zurich
The problem of deriving optimal policies for infrastructure management has a long heritage. In this paper, we investigate the problem while invoking the uniform network assumption. We show that the resulting mathematical simplifications permit the derivation of a nearly complete analytic solution to three alternative specifications of deterioration behaviour. If deterioration is specified as increasing in the repaving cycle number, then the optimal repaving intervals form a harmonic series. If deterioration is formulated as increasing in the age of the pavement structure, then the repaving intervals are all of the equal lengths. Both results are limited to the functional specifications used. Of greater generality are two results showing that, at an optimum solution, marginal variable cost at the end of each repaving cycle must equal average total cost over the whole reconstruction cycle and, consequently, marginal variable cost at the close of all cycles must be equal.
Speaker:
Craig Richmond, ETH Zurich
Optical coherence tomography (OCT) is the medical imaging technique that fills the gap between ultrasound and microscopy. It is already a standard diagnostic tool in ophthalmology and an emerging diagnostic tool for other tissues and pathologies (in oncology, skin diagnostics, mucosa diagnostics etc.). Due to OCT interferometric nature, the OCT signals contain a lot of features related as to optical properties (optical amplitude and phase and polarization) as well as speckle structure (spatial distribution functions, speckle contrast, temporal evolution etc.). OCT technique is rich in novel modalities for structural and functional imaging such as angiography, elastography, optical attenuation coefficient imaging, polarization-sensitive imaging and speckle contrast imaging. In the last decade, the OCT implementation for non-ophthalmological applications is based on utilizing the signal features via machine learning approaches often called «radiomix». Currently, we are in the phase of the rise of deep learning methods in OCT. In this seminar we will discuss 1) how the OCT signal features are related to the tissue microstructure and processes (such as flows, deformations etc.); 2) how new modalities based on these features were developed; 3) how these modalities and features were used for machine learning; 4) in what fields OCT deep learning is currently developing; 5) what tasks and applications of deep learning in OCT are most promising; 6) how it is possible to generalize models and jointly train them for further transfer learning.
Speaker:
Lev A. Matveev, Russian Academy of Sciences
The growing clinical need for synthetics that specifically enhance the repair of large bone defects and aged bone matched by the escalating demand for grafts, is driven largely by an ageing population whose natural regenerative responses are impaired. This presentation will describe our strategies in 1) developing a platform of patented engineered nanostructured, 3D-printed biomaterials for cell-free personalised treatment to promote bone healing in load-bearing challenging situations. 2) our approach to replace direct stem cell transplantation for bone repair and regeneration. 3) Our anti-senescence biomaterial approach for enhanced regeneration of aged bone. Our technologies open avenues for skeletal tissue regeneration in various clinical applications.
Speaker:
Hala Zreiqat, The University of Sydney, Australia
Innovative systems such as Automated Taxis (AT) are not currently available in the market and consumers have not experienced them. This represents a major problem when estimating willingness to pay (WTP) for ATs because consumers have no preferences for products that they do not know and have never used. Even though ATs have been tested and deployed in a relatively small scale around the world, as an emerging and highly innovative new mode of transport, are still in the trial stage and related taxi services are not available to most of the public at the current stage. Since consumer preferences are formed by experiencing the product, an important research question is to which extent knowledge and experience (direct and indirect) shape consumers’ preferences and consequently the WTP for the new products. The literature on this topic is very limited and mostly applied to the case of electric vehicles (EV). In this seminar, I will discuss the extent to which WTP for AT is affected by different levels of knowledge and experience. These include the impact of simple information about the AT, information from someone who has directly used AT, the experience of AT operating in a city using a virtual reality environment, the experience of living in a city where ATs are currently operating and finally experience of direct use of an AT in reality. Data collected in major cities in China where ATs are in operation, and some other major cities where ATs are not operating, are used to estimate the impact of having used an AT and the impact of living in a city where ATs are operating and available for the public. Data collected in the UK, using an immersive virtual reality environment and online, are used to estimate the impact of having an immersive virtual experience of AT operating in a city. Levels of knowledge of and information about AT have been collected in all datasets and their impact on WTP for AT and its characteristics were estimated and compared across samples.
Speaker:
Elisabetta Cherchi, Newcastle University, UK
Generating captions for ultrasound images and videos is an area that is yet to be fully studied and explored. The aim of our work is to learn joint image-text representations to describe ultrasound images with rich vocabulary consisting of nouns, verbs, and adjectives. Preparing medical image captioning benchmarks is challenging for two reasons: (a) describing medical images with specific terminology requires expert knowledge of medical professionals; and (b) the sensitive nature of medical images prevents wide-scale annotation, for instance, using crowd-sourcing services (e.g. Amazon Mechanical Turk) and similar methods. Therefore, automatic image captioning has not been widely studied on ultrasound images before, the challenge being enhanced by the lack of readily available large datasets of ultrasound images with captions. We make the first attempt to perform automatic image captioning on fetal ultrasound images (video frames), using sonographer spoken words to describe their scanning experience.
Speaker:
Mohammad Alsharid, Khalifa University
The development of machine learning algorithms geared towards drug discovery and chemoinformatics has seen unprecedented progress in recent years. Much of this revolution has derived from progress in deep learning and generative modelling. It is worth noting, however, that the ‘Ideas to Patient’ journey in a pharmaceutical setting is much more expansive and data-rich even beyond the discovery phases. There is a possibility of deriving significant value using AI algorithms in the phases of drug safety and efficacy evaluations, patient analytics and post-market surveillance as these stages involve the analysis of large amounts of multimodal information. In this talk, we shall discuss the potential for using machine learning approaches in these parts of the drug development pipeline.
Speaker:
Arijit Patra, University College Birmingham, UK
The development of micro-electronic devices that bridge the gap between the rigidity of traditional electronics with the soft mechanics of biological systems is highly desirable. Having already demonstrated commercial success in areas such as light-emitting diodes and photovoltaics, electrically conducting polymers are now entering the biomedical arena. With the ultimate goal of fully integrated wearable sensors combined with IoT and autonomous at home diagnostic tests, organic bioelectronic technologies have been heavily explored over the past decade resulting in novel device configurations. Multiplexing capability, ability to adapt to complex performance requirements in biological fluids, sensitivity, stability, literal flexibility and compatibility with large-area processes are only some of the merits of conducting polymers. This talk will summarize our recent efforts on developing such smart platforms for health monitoring as well as for drug discovery.
Speaker:
Anna Maria Pappa, Khalifa University, UAE
September 26, 2021 | Advanced multifunctional fibers - from wearable sensors to organ weaving Speaker: |
October 3, 2021 | What do cyber-physical systems security and resilience have in common? Speaker: |
October 10, 2021 | How can we make tumour predictions when we do not understand everything? Speaker: |
February 7, 2021 | Dr. Mireille Elhajj | Dependency of Critical National Infrastructure (CNI) on Global Navigation Satellite System (GNSS) |
March 8, 2021 | H. Vincent Poor | Towards 6G Wireless Communication Networks: Vision, Enabling Technologies, and New Paradigm Shifts (IEEE Distinguished Seminar Series) |
March 14, 2021 | Khulood Alawadi | Design Practice for Wicked Problems |
October 18, 2020 | Asimina Kazakidi | The contribution of computational biofluid mechanics in cardiovascular problems |
October 11, 2020 | Mohammad Qasaimeh | Lab-on-a-Tip Microfluidic Probes for Single Cell Analysis, Separations, and Manipulations |
October 4, 2020 | Dr. Saad Jasim | Impacts of Climate Change on Water Systems |
September 27, 2020 | Jeremy Teo | (Immuno) Mechanobiology of Immune Cells |
September 13, 2020 | K.R. Sreenivasan | Massive Simulations of 3D Navier-Stokes Turbulence |
March 1, 2020 | Tilo Pompe | Mimicking physiological and pathological situations in 3D biopolymer-based matrices in vitro |
February 24, 2020 | Marten van Dijk | Buffer Zones for Defending against Adversarial Examples in Image Classification |
February 23, 2020 | Antonio Adán Oliver | Automatic extraction of semantic models of buildings with robots |
February 9, 2020 | Ahmed Elwakil | Modeling Biological Tissues Using Electrical Impedance Spectroscopy |
February 2, 2020 | Carlos Guedes | Engineering music and musifying engineering: 20 years of personal research at the intersection of music, engineering and computer science |
November 17-19, 2019
November 24, 2019
November 25, 2019
December 10, 2019 | Engineering Seminar Series | Nigel Wilson |
December 8, 2019 | Engineering Seminar Series | Mihai Sanduleanu |
November 27, 2019 | Engineering Seminar Series | S. Feyza Cinicioglu |
November 24, 2019 | Engineering Seminar Series | Oliver Otto |
November 21, 2019 | Engineering Seminar Series | Vijaykrishnan Narayanan |
November 17, 2019 | Engineering Seminar Series | Nektarios Tsoutsos |
November 13, 2019 | Engineering Seminar Series | Guido Gerig |
November 3, 2019 | Engineering Seminar Series | Fan Zhu |
October 27, 2019 | Engineering Seminar Series | Pinar Menguc |
October 17, 2019 | Engineering Seminar Series | Timothy Wangler |
October 14, 2019 | Engineering Seminar Series | Magdi Mohareb |
October 13, 2019 | Engineering Seminar Series | Ali Asghar Bhagat |
October 6, 2019 | Engineering Seminar Series | Dr. Hemant Unadkat |
September 23, 2019 | Engineering Seminar Series | Dr. Ali K. Okyay |
September 22, 2019 | Engineering Seminar Series | Dr. Niti Dhutia |
September 15, 2019 | Engineering Seminar Series | Ibrahim (Abe) M. Elfadel |
September 8, 2019 | Engineering Seminar Series | Mohamed Omar Abdelgawad |
September 8, 2019 | Engineering Seminar Series | Mohamed Omar Abdelgawad |
September 4, 2019 | Engineering Seminar Series | Tuka Hanai |
March 31 to April 1, 2019
March 10-11, 2019
April 22, 2019 | Dyson Workshop | Hwasoo Yeo |
April 21, 2019 | Engineering Seminar Series | Hwasoo Yeo |
April 17, 2019 | Engineering Seminar Series | Agostino Gibaldi |
April 16, 2019 | Engineering Seminar Series | Janaka Wansapura |
April 11, 2019 | Engineering Seminar Series | Deji Akinwande |
April 10, 2019 | Engineering Seminar Series | Mohammed Zourob |
March 31, 2019 | Engineering Seminar Series | Zhibin Chen |
March 19, 2019 | Engineering Seminar Series | Dario Martelli |
March 17, 2019 | Engineering Seminar Series | Khalil Ramadi |
March 14, 2019 | Engineering Seminar Series | Halil Sezen |
March 6, 2019 | Engineering Seminar Series | Muhammad Shafique |
March 3, 2019 | Engineering Seminar Series | Dimitrios Milioris |
February 25, 2019 | Engineering Seminar Series | Shadi Hassan |
February 24, 2019 | Engineering Seminar Series | Arnab Chanda |
February 21, 2019 | Engineering Seminar Series | Wenzhi Liao |
February 20, 2019 | Engineering Seminar Series | Ismail Ben Mabrouk |
February 19, 2019 | Engineering Seminar Series | Aissa Ikhlef |
February 18, 2019 | Engineering Seminar Series | Chao Liu |
February 17, 2019 | Engineering Seminar Series | Jian Li |
February 13, 2019 | Engineering Seminar Series | Antonio Franchi |
February 12, 2019 | Engineering Seminar Series | Muataz Atieh |
February 11, 2019 | Engineering Seminar Series | Eliseo Ferrante |
February 10, 2019 | Engineering Seminar Series | Kemal Celebi |
February 5, 2019 | Engineering Seminar Series | Greg Cashion |
February 5, 2019 | Engineering Seminar Series | Sanjairaj Vijayavenkataraman |
December 16-17, 2018
Nov 18-19, 2018
January 10, 2019 | Engineering Seminar Series | David Lange |
November 29, 2018 | Engineering Seminar Series | Muhammad Shafique |
November 25, 2018 | Engineering Seminar Series | Debjani Paul |
November 22, 2018 | Engineering Seminar Series | Mahmoud I. Hussein |
November 20, 2018 | Engineering Seminar Series | Paulo Montiero |
November 19, 2018 | Engineering Seminar Series | Bhargab Bhattacharya |
November 18, 2018 | Engineering Seminar Series | Khalil Ramadi |
November 13, 2018 | Engineering Seminar Series | Michalis Vlachos |
November 11, 2018 | Engineering Seminar Series | Ehab El-Sadaany |
November 4, 2018 | Engineering Seminar Series | Mohamed Al-Fandi |
October 28, 2018 | Engineering Seminar Series | Baker Mohammad |
October 14, 2018 | Engineering Seminar Series | Cesare Stefanini |
October 2, 2018 | Engineering Seminar Series | Sanjeeva Weerawarana |
September 30, 2018 | Engineering Seminar Series | Hicham Chatila |
September 23, 2018 | Engineering Seminar Series | Athanasios (Thanasis) Triantafyllou |
September 16, 2018 | Engineering Seminar Series | Hamid Abderrahmane |
September 9, 2018 | Engineering Seminar Series | TieJun Zhang (TJ) |
January 14, 2018 | Engineering Seminar Series |
January 21, 2018 | Engineering Seminar Series |
January 22, 2018 | Engineering Seminar Series |
Jan 22 to Jan 24, 2018 | 11th International Conference on Plasma Assisted Technologies (ICPAT-11) |
Jan 28 to Jan 29, 2018 | Theory and Modern Applications of Nonlinear Dynamics: In Memory of Ali H. Nayfeh |
January 30, 2018 | Engineering Seminar Series |
February 1, 2018 | Engineering Seminar Series |
February 5, 2018 | Engineering Seminar Series |
February 11, 2018 | Engineering Seminar Series |
February 25, 2018 | Engineering Seminar Series |
March 4, 2018 | Engineering Seminar Series |
October 23, 2017 | Engineering Seminar Series |
October 29, 2017 | Joint Cyber Security Center and Engineering Division Seminar Series |
November 5, 2017 | Engineering Seminar Series |
November 12, 2017 | Engineering Industry Advisory Council Meeting |
November 14, 2017 | Engineering Seminar Series |
Nov 19 to Nov 20, 2017 | |
December 3, 2017 | Engineering Seminar Series |