Title: Modelling the Switching Dynamics of Advanced Power Semiconductor Devices: From Silicon Superjunction to Wide Bandgap Technologies Speaker: Manish Mandal Date: Tuesday, Feb 11, 2025 Time: 3:00-4:00 pm Venue: MMCR Abstract: The advancement of power semiconductor devices has significantly transformed modern power conversion systems, enabling notable enhancements in energy efficiency, system miniaturization, and overall performance. […]

Name of the Candidate: Mr. Nareddy Kartheek Kumar Reddy Research Supervisor: Prof. Chandra Sekhar Seelamantula Examiner: Prof. Subhasis Chaudhuri, EE Dept., IIT Bombay Date and time: February 13, 2025; 3.30 PM Meeting Link Title: Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems   Abstract: The recovery of a signal/image from compressed measurements involves formulating an […]

Talk on The four generations of single-neuron models: From the perceptron to the complex adaptive system by Professor Rishikesh Narayanan, Molecular Biophysics Unit, Indian Institute of Science, Bengaluru 560012 Venue: Multimedia Classroom (MMCR), EE Department, IISc Date & Time: February 17, 2025, 3 PM (Coffee will be served at 2.45 PM) The key objective of […]

Title: Power Electronics – A Technology Enabler for a Carbon-free Energy Pathway Speaker: Dr. Vinod John, Dept. of Electrical Engineering, Indian Institute of Science Venue: MMCR, EE             Meeting Link  (for online audience) Time: 4 pm, 21 Feb 2024 Abstract: Power electronics technologies play a pivotal role in efficiently transferring […]

Student : Deepak G Skariah Advisor : Prof. Muthuvel Arigovindan Title :  Infimal Convolution Based Regularization   for Image recovery Date and Time:   27.02.2025 (Thursday),  2 pm. Venue :  MMCR, Department of Electrical Engineering  Meeting link Thesis examiners:   Prof.  Kedar Khare,  Prof. Naren Nayak Defense examiner:   Prof.  Kedar Khare Abstract The quality of image captured by […]

IEEE PES Student Branch Chapter, IISc and POWERGRID Center of Excellence in Cyber Security (PGCoE) is pleased to invite you for a technical talk by Prof. Manimaran Govindarasu, Iowa State University, USA. The technical talk details are as follows. Title: Cybersecurity for the Power Grid in the AI Age Venue: C-241, MMCR, 1st floor, Electrical Engineering Department Date […]

Title: Parallel Algorithms for Efficient Utilization of Multiprocessor Architectures for Transient Stability Student: Francis C Joseph Faculty Advisor: Dr. Gurunath Gurrala. Examiner: Prof Saikat Chakrabarti, IIT Kanpur Date : 19th March 2025 Time: 4 PM – 5.30 PM Mode: ONLINE TEAMS LINK ABSTRACT: Computer hardware capabilities have been enormously increasing over the years. Multi-core processors, […]

Date & Time: 20th March 2025, at 11:30 am Speaker: Mr. Varun Krishna P S Venue: EE, MMCR   Title: Self-Supervised Learning Approaches for Content Factor Extraction from Raw Speech   Abstract: The rapid expansion of the digital data has led to a growing interest in self-supervised learning (SSL) techniques, particularly for speech processing tasks where labeled data is often […]

 The oral examination of Lalgy Gopi will be held at the Multi-Media Class Room (MMCR), EE Department, between 3 pm and 5 pm on Tuesday, March 25.

Name of the Candidate:  Lalit Manam Research Supervisor: Venu Madhav Govindu Date and Time: March 27, 2025, Thursday, 2:00 PM Venue: C-241, First Floor, Multimedia Classroom (MMCR), EE Title: Global Methods for Camera Motion Estimation Abstract: In computer vision, Structure-from-Motion (SfM) aims to recover a 3D reconstruction of a scene from a collection of images of the scene. SfM […]

EECS RESEARCH STUDENTS SYMPOSIUM - 2025 The following is the link: (https://eecs.iisc.ac.in/EECS2025/

 A two-part talk on "Noise in imaging: focus on correlation and nonlinearity" by Professor Alessandro Foi*, Tampere University (TAU), Finland (* of the BM3D fame, among other things) on April 16, 2025 (Wednesday) from 2 PM to 5.30 PM (coffee break at 3.30 PM) Venue: Multimedia Classroom (MMCR), EE Department Abstract: Understanding and characterizing noise […]