- Pointers to making Good Scientific Presentation
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- Presenter:
Prof. Ashwin M Khambadkone, Department of Electrical and Computer Engineering, NUS
- Venue: GG Conference Room
- Abstract / Poster:
"Scientific Presentations are mainstay of your scientific and
technological career. Whether you are a research student, an early career
researcher, a senior researcher, a faculty member, or an industry
technocrat, a scientific presentation is instrumental in making your
career. As a scientist and technologist, we often use third-party funds to
do our work. It becomes our duty to explain to all our stakeholders what
project we are doing, how we are doing it and what is the outcome of the
project. Knowledge sharing is an important aspect of the value chaing in
knowledge creating industry.
In this presentation, we will look at some pointers to making a good
presentation. How do we plan and structure a good presentation. How do we
present it. Presentation is both an art and a craft. What part of
presentation is the craft and where does art of presentation come it.
While scientific presentation cannot be formalized into some sort of
algorithms, we can learn from best practices of the masters and follow
them. We will look at the some of these best practices.
- Session Coordinator: Shamim Hasan
- Session Chair: Shashank Kurm
- Presentation Slides
- Chaotic circuit and it's application
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- Presenter:
Keyur Mistry
- Venue: GG302
- Abstract / Poster:
"God does not play dice" - Albert Einstein. The question is,
does randomness or chaos also follow the rules? There is a circuit called
chaotic circuit which generates chaotic signal. In a simple word the
chaotic signal is the signal which is unpredictable. What can be the use
of such circuit? I would like to discuss one interesting application of it
in cryptography
- Session Coordinator: Sita Ram
- Session Chair: Shashank Kurm
- Maglev – Methods and Applications
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- Presenter:
Amar Kushwaha
- Venue: GG Conference ROOM
- Abstract / Poster:
In this presentation I will talk about magnetic levitation
(Maglev) principle and various ways to achieve it. I will briefly go
through the technologies/methods such as Meissner effect in
superconducting materials, current controlled electromagnetic coils,
permanent magnets or superconducting magnets, etc., that enable magnetic
levitation. Various applications/prototypes from literature as well as
real world will be presented. Among the presented methods, some emphasis
will be given to moving permanent magnet based levitation (also known as
electrodynamic suspension) as it is a potential candidate for very high
speed ground transportation, such as Hyperloop.
- Session Coordinator: Ishtiyaq
- Session Chair: Ishtiyaq
- Graphene: A modern material with unique physical and electrical properties.
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- Presenter:
Ales Tin, Post Doc Fellow
- Venue: GG302
- Abstract / Poster:
Graphene is a sheet of two-dimensional materials with a very
high electrical conductivity when exposed to an electric field. In a
vacuum, it has a mobility that is up to 250 times that of a
semiconductor such as Silicon. It also out conducts copper by a thousand
times. This is made possible since the conducting quasiparticle
(electron/hole) in graphene has a velocity which is relativistic
(comparable to the speed of light). In the presentation, we will try to
understand these properties of graphene from various perspectives such
as the band structure (energy vs momentum). We will also discuss some
substituent materials of graphene with more richer properties. In terms
of taking graphene out of the lab, the current uses of graphene include
batteries, capacitors, transistors
- Session Coordinator: Radik Rammohan
- Session Chair: Shashank Kurm
- Processing and analyzing the biological signals
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- Presenter:
Deepak Berwal, Ph.D. Research Scholar
- Venue: GG302
- Abstract / Poster:
In this modern era, health is the real wealth, but we actually don’t have
time to think about our health due to daily lifestyle. Lack of exercise
and unhealthy food create more problems in the society. There are many
biological signals associated with particular body parts such as
electrocardiogram (ECG) signal is related to heart and electromyogram
(EMG) is related to the muscle contractions etc. These signals can tell us
about the health issues related to our body. However, processing these
signals are not so straight forward due to various body motion artifacts
and external noises coming with these recorded signals. Here, signal
processing plays the main role to remove these noises and process it
further. Analyzing these signals can also help us to estimate various body
parameters and to know more about our body.
- Session Coordinator: Zeeshan Ali
- Session Chair: Shashank Kurm
- Making Machines Learn: Introduction to Deep Learning
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- Presenter:
Deepak Anand Ph.D. Scholar, EE, IITB
- Venue: EEG 302, GG Bldng.
- Abstract / Poster:
Deep learning has evolved as a ubiquitous tool for the modern age with applications in the domain of computer vision, natural language processing, reinforcement learning, and advanced robotics. It has emerged to be a vast domain of research and applications. In this talk, we first review the learning problem formulation and its constituents. Next, we traverse through the space of deep learning, providing motivation, and an intuitive understanding of various classes of learning methodologies. We discuss techniques like -- supervised learning, unsupervised learning, transfer learning, self-supervised learning, and popular architectures used in deep learning.
It is completely non-technical talk thus no pre-requisite for this talk.
- Session Coordinator: Sumit Khalapure
- Session Chair: Sumit Khalapure
- Presentation Slides