Presenter Name | Ashray Malhotra, Nisheeth Lahoti |
Cluster | EE1 |
Email-id: | |
Topic: | SoundRex - Next generation of Sound Technology for concerts. |
Venue: | GG 301 |
Session Chair: | Nitya Tiwari |
Date: | 03/08/2016 at 4 PM |
Pre-Requisite: | None |
Abstract: | At SoundRex, we are building the next generation of sound technology. The
way sound technology has evolved historically is that we started with a
mono speaker, which is just a single sound source. Then we went to stereo
speakers, which are 2 speakers. The commercial state of art is 5.1, where
you have 5 speakers. But in concerts, which are supposed to be the best
musical experience of your lives, we still have mono speakers and at best
stereo speakers. What we have built is radically different. What we
propose is that everyone who enters the concerts gets a wearable wrist
band speaker. Which means that if there are 10k people in a concert, you
are hearing sound from not just 2 speakers in front of you but from
thousands of speakers distributed all across the concert. This gives the
listeners an unprecedented feeling of being immersed in sound since the
sound is coming from all directions and not just the front. Also since we
have control over thousands of speakers and not just 2, this allows us to
create completely new sound effects which are not even possible with just
2 or 5 speakers.
In this talk, we will give an overview of the technology challenges that we have faced in building this technology ground up. We will also cover some general aspects with building a technology (especially hardware) startup in India. Also, we will highlight what it takes to build a real product for the masses in contrast to a lab prototype. Do join us, we hope to have an interactive session. |
Presentation Slides: |
Presenter Name | Nitin Bhatia, Ph.D, Fibre Optics Lab |
Cluster | EE1 |
Email-id: | |
Topic: | There's always Light at the end of the Tunnel. |
Venue: | GG 301 |
Session Chair: | Thomas Joseph |
Date: | 05/10/2016 at 4.30 PM |
Pre-Requisite: | None |
Abstract: | What comes out of an optical fiber is a Light beam. What else one can expect? It seems that the cylindrical fiber geometry does a nice trick to provide us with exotic beam patterns with special optical properties. In this talk, we will have a glimpse of some of the exciting properties of these light beams, termed as Bessel and Vortex beams, and their wide range of application areas including optical trapping, fiber lasers and optical communication systems. |
Presentation Slides: |
Presenter Name | Aditya MVS, Ph.D |
Cluster | EE1 |
Email-id: | |
Topic: | Price Competition in Spectrum Markets: How accurate is continuous price approximation ? |
Venue: | GG 302 |
Session Chair: | Amit More |
Date: | 07/10/2016 at 4 PM |
Pre-Requisite: | None |
Abstract: | Primary users (like Reliance, Airtel) of the spectrum compete solely to sell the under-utilized spectrum to secondary users (Iike BPL). Literature assumes that a primary user can choose any real number as a selling price of the spectrum, for the ease of mathematical analysis. In practice, however, prices can only be in multiples of say a rupee/paise/dollar/cent. The fundamental question of How accurate are the results, when a discrete problem (actual price) is approximated by a continuous problem (price as a real number) in spectrum markets? is investigated. |
Presentation Slides: |
Presenter Name | Avik Hati
Ph.D, Vision and Image Processing Lab |
Cluster | EE1 |
Email-id: | |
Topic: | Saliency: Where do you look in the image? |
Venue: | GG 303 |
Session Chair: | Amit More |
Date: | 21/10/2016 at 4 PM |
Pre-Requisite: | None |
Abstract: | Saliency is a measure of importance of objects in an image or events in a video scene. The image or scene elements that capture our attention are salient. They are distinctive in color or spatial features from rest of the image or temporal segments. Detection of salient regions in images or videos aids in many image and vision applications e.g., object segmentation, video summarization, content based image compression, image and video quality assessment etc., as only the important parts may be processed. This leads to reduction in complexity as these applications work with large image databases and long video sequences. This talk will be limited to image saliency detection. |
Presentation Slides: | Click Here. |