Talks Organized
Invited talks organized by Prof. Seelamantula and Spectrum Lab team
2025
PhD Thesis Colloquium
Neuromorphic Sampling — Reconstruction Techniques and Imaging Applications
neuromorphic samplingevent-based sensingtime encodingfinite rate of innovation
Talk
On Nuances of Electronic Voting
Prof. Subhashis BanerjeeAshoka University
electronic votingcryptographic protocolsverifiable votingelection security
Talk
Forecasting Epidemics: From Ensembles to Graph Neural Networks
Dr. Aniruddha AdigaBiocomplexity Institute, University of Virginia
epidemic forecastinggraph neural networksensemble methodsspatiotemporal models
Talk
Model-Based Deep Learning For Sensor Selection
Dr. Satish MulletiIIT Bombay
deep learningsensor selectionmodel-based learningunrolling algorithms
Talk
Phase Retrieval: Computational Imaging in the Machine Learning Era
Jonathan DongEPFL, Switzerland
phase retrievalcomputational imagingmachine learningptychography
Talk
Things You Should Know Before Submitting Your Next Paper
Prof. Alessandro FoiTampere University (TAU), Finland
scientific publishingpeer reviewpublication ethicsmanuscript revision
Talk
Noise in Imaging: Focus on Correlation and Nonlinearity
Prof. Alessandro FoiTampere University (TAU), Finland
noise modelingimage processingheteroskedastic noisenoise correlation
Talk
The Four Generations of Single-Neuron Models: From the Perceptron to the Complex Adaptive System
Prof. Rishikesh NarayananMolecular Biophysics Unit, IISc
neuron modelsperceptronHodgkin-Huxleydendrites
PhD Thesis Defense
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
Mr. Nareddy Kartheek Kumar Reddy
compressed sensingtight framessparse recoverydeep unfolding
Lecture
Wearable Sensor Signal Processing and Data Analytics for Health Applications
Prof. Gaurav SharmaUniversity of Rochester
wearable sensorshealth monitoringsignal processingdata analytics
SPARC Course
Human Perception and Image Analysis in the Era of Machine Learning
Host: Prof. Chandra Sekhar Seelamantula
visual perceptionimage processingmachine learningdeep learning
Symposium
AI for Eyecare Symposium
Host: Prof. Chandra Sekhar Seelamantula
artificial intelligenceophthalmologyeyecaremedical imaging
Seminar
Randomized Linear Algebra - An Introduction
Prof. S. LakshmivarahanUniversity of Oklahoma
randomized algorithmslinear algebramatrix computationimportance sampling
2024
PhD Thesis Colloquium
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
Mr. Nareddy Kartheek Kumar Reddy
compressed sensingtight framessparse recoverydeep unfolding
2023
An Introduction to Neuromorphic Computing with Intel Loihi
Ashish Rao MangaloreDoctoral resident at Intel Labs, Munich, Germany
Neuromorphic ComputingIntel LoihiHardware
Proper Definition of Dirichlet Conditions and Convergence of Fourier Representations
Prof. Anubha GuptaIndraprastha Institute of Information Technology (IIIT) Delhi
Fourier AnalysisDirichlet ConditionsSignal Processing
Advances in imaging and segmentation of thalamic nuclei with applications
Prof. Manoj SaranathanProfessor of Radiology at UMass Chan Medical School in Worcester, Massachusetts
Medical ImagingThalamic NucleiSegmentationRadiology
2022
Digital Acquisition via Modulo Folding: Revisiting the Legacy of Shannon-Nyquist, Prony, Schoenberg, Pisarenko and Radon
Dr. Ayush BhandariImperial College, London
Modulo SamplingShannon-NyquistSignal ProcessingSampling Theory
2019
From compressed sensing to deep learning: tasks, structures, and models
Prof. Yonina EldarWeizmann Institute of Science, Israel
Compressed SensingDeep LearningSignal Processing
2012
Probing New Frontiers In Computational Photography and Displays
Kshitij MarwahCamera Culture MIT Media Lab
Computational PhotographyDisplaysMIT Media Lab
There is more to a picture than meets the eye -- Recent advances in image forensics
N. MemonIEEE Distinguished Lecture
Image ForensicsDigital ImagingIEEE Distinguished Lecture
Regularized auto-associative neural networks for speaker recognition
Sri Sivaram GarimellaJohns Hopkins University, Baltimore
Neural NetworksSpeaker RecognitionAuto-associative Networks
Compressed sensing and related topics: Theory and applications
Angshul MajumdarDepartment of Electrical and Computer Engineering, University of British Columbia, Canada
Compressed SensingSignal ProcessingSparse Reconstruction
Analysis and processing of continuous data streams in industrial applications
Lakshminarayan ChoudurPrincipal Research Scientist from the Hewlett Packard Laboratories, California, USA
Data StreamsIndustrial ApplicationsSignal Processing
HIVIPS - Opportunities at Hitachi Labs
A. Ito and K. YanaiHitachi India Labs, Bangalore
Hitachi LabsIndustry
2010
Accelerating dynamic imaging by exploiting sparsity and low-rank structure
Mathews JacobDepartment of Biomedical Engineering, University of Rochester, U.S.A
Dynamic ImagingSparsityLow-RankBiomedical Engineering
Auditory motivated features for robust speech recognition
Saikat ChatterjeeRoyal Institute of Technology (KTH), Sweden
Speech RecognitionAuditory FeaturesRobust Speech Processing
Virtual surround
Ravi ShenoyResearch engineer at Nokia R&D Labs, Bangalore
Virtual SurroundAudio ProcessingNokia
Web-scale processing
Malcolm SlaneyYahoo! U.S.A.
Web-ScaleSignal ProcessingBig Data
2009
Acoustic inverse problems
RakeshDepartment of Mathematics, U. Delaware, U.S.A.
Acoustic Inverse ProblemsMathematicsSignal Processing
Coherent imaging - from tissue to molecule
Theo LasserDirector of Biomedical Optics Laboratory, École polytechnique fédérale de Lausanne, Switzerland
Coherent ImagingBiomedical OpticsEPFL