SPCOM2024

DAY 4: JULY 4 (Thursday)

A5: Communication Networks

Venue: TBD, Time: 09:30-11:00

Session Chair: TBD

Predicting Interference Graphs from Data: A Machine Learning Approach
Prayag Gowgi (Ericsson); Jishnu Sadasivan (Ericsson); Maxim Teslenko (Ericsson)

BiLSTM and Attention-Based Modulation Classification of Realistic Wireless Signals
Rohit Udaiwal (IIT Guwahati); Nayan Moni Baishya (IIT Guwahati); Yash Gupta (IIT Guwahati); B. R. Manoj (IIT Guwahati)

Single Anchor-Aided Channel Estimation Strategy for IRS-Based Wireless Communication Systems
Prateek Mukherjee (BITS Pilani); Sandeep Joshi (BITS Pilani)

Modulation Classification for OTFS-NOMA in Heterogeneous User Mobility Profile
Pawan Maurya (Sardar Vallabhbhai NIT); Kamal Captain (Sardar Vallabhbhai NIT); Ashok Parmar (Sardar Vallabhbhai NIT); Prashant K. Shah (Sardar Vallabhbhai NIT Surat)

New Two-Dimensional Z-Complementary Array Sets with Low Column Sequence PMEPRs
Shibsankar Das (IIT Kanpur); Adrish Banerjee (IIT Kanpur)

B5: Machine Learning and Speech

Venue: TBD, Time: 09:30-11:00

Session Chair: TBD

Exploring TinyML Frameworks for Small-Footprint Keyword Spotting: A Concise Overview
Suman Samui (NIT Durgapur); Soumen Garai (NIT Durgapur)

A Frequency Domain Network for Hybrid-Domain Super-Resolution MRI
Vazim ibrahim (Digital University Kerala); Joseph Suresh Paul (Digital University Kerala)

Speaker and Digit Representation based Voice OTP System
Sahaja Nandyala (IIT Dharwad); Pavanitha Manche (IIT Dharwad); Jagabandhu Mishra (IIT Dharwad); Mahadeva Prasanna (IIT Dharwad)

SALF-MOS: Speaker Agnostic Latent Features Downsampled For MOS Prediction
Saurabh Agrawal (Samsung); Raj Gohil (Samsung Research India); Gopal Kumar Agrawal (Samsung Research and Development Institute, Banglore); Vikram C M (SRIB India); Kushal Verma (Samsung Research and Development Institute, Banglore)

Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data
Sai Pradeep Chakka (IIIT Bangalore); Neelam Sinha (CBR)

C5: Miscellaneous (Biomedical Signal Processing, ML and Optimization for SPCOM)

Venue: TBD, Time: 09:30-11:00

Session Chair: TBD

Leveraging Convolutional Autoencoders for Bundle Branch Block Detection in Electrocardiograms
Akriti jaiswal (IIT Guwahati); Samarendra Dandapat (IIT Guwahati)

Early Screening of Cerebrovascular Diseases through Doppler Ultrasound Analysis of Carotid Arterial Blood Flow
Renu John (IIT Hyderabad); Vidya Gopal T V (IIT Hyderabad); Inayathullah Ghori (Kamineni Hospitals); Avinash Eranki (IIT Hyderabad)

Cervical Auscultation Machine Learning for Dysphagia Assessment
An An Chia (Sengkang General Hospital); Stacy Lum (Sengkang General Hospital); Boo Michelle (Singapore University of Technology and Design); Rex Tan (Aevice); Balamurali B T (Singapore University of Technology & Design); Jer-Ming Chen (Singapore University of Technology & Design)

Exploiting Bias in Reinforcement Learning for Task Allocation in a Mobile Edge Computing System
Satyadev Badireddi (IIT Guwahati); Raunakk Banerjee (Science and technology facilities council); Parth Hiren Shah (UCSD); Arghyadip Roy (IIT Guwahati)

An Asymptotic CVaR Measure of Risk for Markov Chains
Shivam Patel (IIT Bombay); Vivek Borkar (IIT Bombay)

Plenary Talk 3 : Unpredictable Black Boxes are Terrible Interfaces

Venue: TBD, Time: 11:30 - 13:00

Session Chair: TBD

Title: Unpredictable Black Boxes are Terrible Interfaces (Talk details)

Speaker: Maneesh Agrawala (Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University)


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