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Pre-Conference Tutorials/Workshops

As part of the 2019 IEEE, two pre-conference workshops/tutorials are being organized as follows:
1) RF Tutorial by KarMIC Design
2) Demystifying deep learning using MATLAB by MathWorks, Bangalore

Please contact Prof (Dr.) Niranjan S (niranjana.s@manipal.edu) for registration and more details about these workshops/tutorials.

 

 RF Tutorial by KarMIC Design

 

Venue: PG Lab, Ground floor, Academic Block 5, Manipal Institute of Technology, Manipal

Date: 10thAugust 2019 (Saturday)

 

Overview of the RF System- Transmitter and Receiver sections:

Radio Frequency (RF) is the study of systems over a wide higher frequency range. What is the reason for operating at high frequency? A typical RF system involves a receiver and transmitter sections and its imperative to understand what compromise the basic building blocks of these systems to further appreciate the applications in various fields like Communications - cellphone, Wi-Fi, Bluetooth; Radar - defense, self-driven cars.

Mr. Gururaj B

Karmic Design Pvt. Ltd

Complex Gm-C filters for RF:  Complex filter is a frequency shifted band pass or band stop filter by using imaginary and real components of the input signal. The tutorial will discuss the need for frequency transformation, architecture, and circuit realization of complex Gm-C filters used for applications like Blue-tooth, ZigBee.

Dr. D. V. Kamath,

Professor,

Dept. of ECE, Manipal Institute of Technology, Manipal

Low Noise Amplifier (LNA) circuit design and Cadence simulation:Low Noise Amplifier (LNA) is one of the basic building blocks in the Receiver section of an RF system. The design of this block is critical as it takes the input signal directly from an Antenna. Tutorial intends to discuss the design methodology briefly and implement a single ended source degenerated LNA and simulate the parameters: input and output impedance, S- parameters, gain, noise, linearity, and stability.

Mr. Gururaj B

Mr. Jayasheel Shetty

Mr. Santhosh Anjar

Mr. Jaidev J

Mr. Vinayak Hegde

Karmic Design Pvt. Ltd.

About Karmic Design Pvt. Ltd.:

KarMic is one of the pioneers in the semiconductor service industry.The company provides service to major semiconductor companies like Texas Instruments, Qualcomm, ADI, Maxim, etc. in the field of analog mixed-signal and RF and specially expertise in physical design and pre-silicon verification. The company is headquartered at Manipal, Karnataka and has design centers at Bangalore and Dallas. KarMic has contributed immensely to the training and development of hundreds of youngsters, who otherwise, would never had a chance in the high-tech industry.

 

 

 

 

Demystifying Deep Learning using MATLAB

 

 

Date: 10th Aug 2019 | Time: 10:00 am - 4:00 pm

 

About MathWorks:

MathWorks is the leading developer of mathematical computing software for engineers and scientists. Engineers and scientists worldwide rely on MathWorks products to accelerate the pace of discovery, innovation, and development.

 

Pre-requisites: MATLAB OnRamp

 

Agenda:



10:00 am – 12:00 pm


·         Introduction to Deep Learning

·         Introduction to pre-trained networks

·         What is transfer learning?


12:00 pm – 2:00 pm


Lunch


2:00 pm – 4:00 pm


·         Building a network from scratch

·         Deployment

·         Demos

 

Speaker Bio




Spandhana is an Education Technical Evangelist at MathWorks India. She works with faculty and researchers across India to enable effective use of MATLAB and Simulink in their curriculum and research. She specialises in Data analytics, mathematical modelling, Machine Learning and Deep Learning workflows using MATLAB. 

 

Prior to MathWorks, she was a graduate student at National University of Singapore, Singapore, where she studied smart actuating systems using mathematical models for her PhD. She is passionate about rewriting the engineering pedagogy to better suit engineers in the digital era.

 



Amith is an Education Technical Evangelist at MathWorks, and he has been with the company for the past 6 years taking on a variety of roles including technical support, image processing developer, and computer vision developer. He has a bachelor’s degree in Electrical Engineering from NITK Surathkal, a Master’s degree in Electrical Engineering from the University of Minnesota, and he’s currently working towards a masters degree in computer science from Georgia Tech. His areas of interest include computer vision, deep learning, and software engineering.

 

Location

Conference Venue

Manipal Institute of Technology, Manipal,
Karnataka - 576104, India.

Organizers

IEEE Mangalore Sub-Section

 

Organizing Chairs

M. Sathish Kumar and Radhika Pai
Email: ieeediscover2019 [dot] mit [at] manipal [dot] edu

U C Niranjan
Email: ieeediscover2019 [dot] mit [at] manipal [dot] edu