Title of Thesis: Frequent Episode Mining: Efficient Discovery Algorithms and Significance Analysis Speaker: Mr. Santhosh B. Gandreti Date/Time: Monday 20th May 2024 11:00 AM Venue: MMCR, EE Department Research Supervisor: Prof. P. S. Sastry Abstract: Frequent Pattern Mining is a popular area of data mining aimed at discovering interesting patterns that occur often in a […]
Colloquium Candidate’s Name : BABY SINDHU A V Degree Registered : Ph.D. Date & Time : 24th May 2024 @ 10.00 AM Venue : Seminar Hall, High Voltage Lab and in Teams Link Title : Developmental Studies on Polymeric Nano/Micro Composite Insulation for Various High Voltage Power Applications Abstract The demand for electrical power is increasing day by day necessitating a […]
Faculty Candidate Talk Title: Blind speaker separation from noisy speech mixtures Date and Time: 3:00 PM: 4th JUNE, 2024. Location: MMCR, EE dept (Online link) Abstract: Blind separation of speech mixtures into individual speaker signals is crucial for several speech processing applications, including teleconferencing. These applications require blind speech separation (BSS), i.e., without any additional […]
Name of the Candidate: Anirban Chatterjee Title of the Thesis: Estimation of flashovers in the EHV/UHV lines on the east coast due to lightning produced by the Bay of Bengal cyclones Degree Registered: MTech (Res) in Electrical Engineering Time and date: 11.00 AM, 10th June 2024 Venue : MMCR Seminar Hall of EE Department […]
Title: Advancements in Power Electronics for Sustainable and Resilient Energy Systems. Speaker: Prof Avik Bhattacharya IIT Roorkee Date 13/6/2024 Time: 4:00 pm Venue: MMCR EE Abstract: This talk delves into the pivotal role of power electronics in advancing the sustainability, reliability, and efficiency of modern energy systems. Key topics include sustainable microgrids, which […]
Name of the Candidate: Mr. Nareddy Kartheek Kumar Reddy Research Supervisor: Prof. Chandra Sekhar Seelamantula Date and time: June 24, 2024; 4.30 PM Coffee/tea will be served during the talk. Venue: Multimedia Classroom (MMCR), EE Department, IISc. 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 […]
Title: Analog Semiconductor innovations in the era of Artificial Intelligence Speaker: Dr Sombuddha Chakraborty Analog Design Manager, TI Kilby Labs (Power) Date 25/6/2024 Time: 10:00 am Venue: MMCR EE Abstract: With the dramatic rise of computation related to the proliferation of AI, powering the GPU hardware poses new challenges and opportunities for power and analog semiconductor companies. […]
Colloquium Announcement Title of the Thesis : Power Swing Blocking Protection in Presence of Large Scale Grid Following PV Generation Name of the Student : Meenu Jayamohan Name of the Advisor : Dr. Sarasij Das Degree Registered : PhD (Eng.) Date and Time […]
Title: Modelling, Analysis and Control of Switched Reluctance Motors Speaker: THIRUMALASETTY MOULI . of Ph.D. (Engg) in Electrical Engineering under Electrical Engineering Date/Time: Jul 24 / 15:00:00 Location: Multi Media Class Room (MMCR), EE Department Research Supervisor: Narayanan G Abstract: Switched reluctance machine (SRM) is known for many advantages such as permanent magnet-free operation, robust structure, low rotor inertia, […]
Investigations on Pulse Width Modulation Techniques for Split-Phase Induction Motor Drives Speaker: LALGY GOPI . of Ph.D. (Engg) in Electrical Engineering under Electrical Engineering Date/Time: Jul 26 / 14:30:00 Location: Multi Media Class Room (MMCR), EE Department Team Link Research Supervisor: Narayanan G Abstract: A split-phase induction motor (SPIM) has two sets of identical three-phase windings separated by […]
Name of the Student SUBHAS CHANDRA DAS Programme / Degree Ph.D. (Engg) in Electrical Engg Name of the Department of IISc Electrical Engineering Name of the Research Supervisor Narayanan G Date & Time of the Oral Examination /Thesis Defense 29.07.2024 /16:00:00 /Scheduled Venue / Mode Multi Media Class Room (MMCR), EE Department (Hybrid mode) Team […]
Talk on Model based deep Learning for inverse problems in MRI: Beyond Algorithm Unrolling by Prof. Mathews Jacob, University of Iowa, USA. on July 30th, from 11.30 AM to 12.30 PM. Venue: CBR Auditorium, CBR, IISc. Host: Prof. Chandra Sekhar Seelamantula, IISc Abstract: The reconstruction of MR images from highly undersampled Fourier measurements is a problem […]