Thesis Defence of Mr. Ruturaj Gavaskar

Title: On Plug-and-Play Regularization using Linear Denoisers. Degree Registered: PhD Guide: Prof Kunal Narayan Chaudhury Date: Jan 2, 2023. Time: 11:00 am. Venue: Online. MS Teams: https://tinyurl.com/bdz95wmw (meeting ID: 483 231 041 151; Passcode: QDF8WS) Abstract: The problem of inverting a given measurement model comes up in several computational imaging applications. For example, in CT […]

Lecture by Prof. Manoj Saranathan

EE, MMCR

Department of Electrical Engineering, Indian Institute of Science and IEEE Signal Processing Society, Bangalore Chapter cordially invite you to a lecture on Advances in imaging and segmentation of thalamic nuclei with applications by Prof. Manoj Saranathan, Professor of Radiology at UMass Chan Medical School in Worcester, Massachusetts Date and time: January 2, 2023, 4 PM […]

Seminar by Prof. Niladri Chakraborty

EE, MMCR

Title: Emulator-based Microgrid studies vis a vis Some Indian Renewable interconnected Microgrids. Time: 10 am 6/1/23 Venue: EE MMCR Abstract: Mini / Micro Grid in Stand Alone or Grid integrated forms are coming up very fast in the conventional power system. Many a time, these are renewable sources integrated. Design considerations, Plant automation, Remote monitoring and O & M strategies […]

Lecture by Prof. Anubha Gupta

EE, MMCR

Department of Electrical Engineering, Indian Institute of Science  and  IEEE Signal Processing Society, Bangalore Chapter    cordially invite you to a lecture on  Proper Definition of Dirichlet Conditions and Convergence of Fourier Representations   By   Prof. Anubha Gupta  Indraprastha Institute of Information Technology -Delhi   Date and time: January 11, 2023, 5 PM   Venue: Multimedia Classroom, Department of Electrical Engineering (EE), IISc.  […]

Thesis Colloquium of Sayan Paul

EE, MMCR

Thesis Title: Pulse Width Modulation Techniques of Inverter Fed Split-Phase Machine Drive in Linear and Overmodulation Regions Degree registered: PhD Guide: Prof. Kaushik Basu Date and Time: 12th January 2023, 03:00 PM Place: MMCR EE, Meeting Link: Teams Meeting Link Multi-phase machines (MPMs) have more than three windings in their stator, rotor, or both. With the broader […]

EE Faculty Colloquium by Prof. Kaushik Basu

EE, MMCR

Venue: MMCR, EE Time: 4pm, 20 January 2023 Abstract:Silicon Carbide MOSFETs (SiC MOSFETs) fall into wide band gap (WBG) power devices. These devices are commercially available in the voltage range of 600-3300V and compete with the state-of-the-art Si-insulated gate bipolar junction transistors (IGBTs). Superior material properties  of SiC MOSFET lead to smaller die sizes. This […]

Ph.D thesis Defense of Mr.Sounak Nandi

Title of Thesis: Experimental and Theoretical Investigations on High Voltage Polymeric Insulators.  Research Supervisor:  Subba Reddy B  Date and Time: Tuesday 24th Jan 2023, 11am  Venue: ON Line: Meeting link:  Abstract  High Voltage Ceramic and glass Insulators have been widely used by various transmission and distribution utilities for several decades across the globe. Recently composite or silicone […]

PhD Thesis Defense of Dhruv Jawali

EE, MMCR

Advisors: Prof. Chandra Sekhar Seelamantula (EE) & Prof. Supratim Ray (CNS) Examiner: Prof. Vikram M. Gadre (EE), IIT Bombay Title of the thesis: Learning Filters, Filterbanks, Wavelets, and Multiscale Representations Date & Time: January 25, 2023; 11:00 AM onward (Coffee will be served during the defense) Venue: Multimedia Classroom (MMCR), Department of Electrical Engineering, IISc Abstract: […]

EE Faculty Colloquium on Learning from unreliable data

EE, MMCR

Speaker: Prof. P.S. Sastry, Dept of Electrical Engineering, Indian Institute of Science Abstract: Supervised learning of classifiers is widely used in many applications of AI/ML. The deep networks used in such applications today need a large training set. Creating a labelled data set where one can have high confidence in the labels is both expensive […]

PhD Oral Defense, of Mr. Bidhan Biswas

HV seminar Hall

Title of the thesis: Short Circuit and Open Circuit Natural Frequencies of 3-Φ Transformers. Research Supervisor: Prof. L. Satish Meeting link : Click here to join the meeting Abstract Frequency Response Analysis (FRA) method is perhaps the most sensitive tool that can detect even the slightest of winding/core movements. High sensitivity, non-invasiveness, non-destructiveness, and on-site capability […]

An Introduction to Neuromorphic Computing with Intel Loihi

EE, MMCR

Speaker: Ashish Rao Mangalore, Doctoral resident at Intel Labs, Munich, Germany Abstract: Neuromorphic computing is a new paradigm of computing inspired by the organization and functioning of neurons in the mammalian brain. The architectural features derived from this inspiration result in orders of gain in the time and energy to solution for various classes of […]