Florence Nightingale Data Science Talk Series

CREDSIIT PKD ML Group Data Science Talk Series
So never lose an opportunity of urging a practical beginning, however small, for it is wonderful how often in such matters the mustard-seed germinates and roots itself.
– Florence Nightingale

Our Past Talk Sessions!!!

29 October 2022
Dr. Satyajit Das
Assistant Professor
Indian Institute Of Technology Palakkad
Research Areas : Architecture, Methods, and Tools for embedded systems including
CGRAs, custom processors, multi-cores, high-level synthesis, and compilers

Title: Reinforcement Learning based Efficient Mapping of DNN Models onto Accelerators

24 September 2022
Prof. Balaraman Ravindran
Professor in the Department of Computer Science and Engineering
Head of Robert Bosch Centre for Data Science and AI, Mindtree Faculty Fellow
Indian Institute of Technology Madras
Research Areas : Machine learning, Reinforcement Learning
Social Network Analysis, Data and Text Mining.

Title: Reinforcement Learning with Structured Actions and Policies

27 August 2022
Dr. Naresh Manwani
Assistant Professor
International Institute of Information Technology, Hyderabad
Research Areas : Learning theory, Deep learning, Online learning, Reinforcement learning
Learning with label noise, Learning in high-risk situations, Learning with incomplete supervision
Explainable AI, Adversarial machine learning, Fairness, Privacy issues

Title: Learning under Uncertain/Incomplete Supervision

Jul 30th 2022
Mr. Girish Palshikar
Chief Scientist, leads the Machine Learning R&D Group.
TCS Research, TRDDC, Pune, India
Research Areas : Machine learning, Natural language processing,
Data/Text Mining, computational law, human resources management, narrative text analysis,
Theoretical Computer Science and their applications to various domains including fraud and money laundering detection,
information and knowledge extraction from documents etc.

Title: Fraud detection

Apr 30th 2022
Prof. Chiranjib Bhattacharyya
Professor, Department of Computer Science and Automation
Indian Institute of Science, Bangalore
Research Areas : Machine Learning, Convex Optimisation, Autonomous Systems

Title: Vignettes of AI research: Foundations of Unsupervised Learning and Social Robotics

Mar 26th 2022
Mr. Prashant Rao
Head of Application Engineering
MathWorks, India
Research Areas : Artificial Intelligence, Microelectronics

Title: Deployable AI
Session Recording

Feb 26th 2022
Prof. Rajesh Sundaresan
Professor, Department of Electrical Communication Engineering
Indian Institute of Science, Bangalore
Research Areas : Decision theory, communication, computation, and control over networks,
cyber-social systems,and, more recently, data-driven decision frameworks for public health responses.

Title: Data-driven decision frameworks for COVID-19 response - A personal journey

Jan 29th 2022
Prof. Ashish Ghosh
Professor & Head, Machine Intelligence Unit
Indian Statistical Institute, Kolkata
Former In-Charge, Center for Soft Computing Research
Research Areas : Data science, big data analysis, internet of things and data mining, Cognitive computing
Deep learning and neural networks, Machine learning and pattern recognition
Video, colour, medical and remotely sensed image analysis, Bioinformatics and computational biology
Natural computing/soft computing/computational intelligence

Title: Multi-label Learning

Nov 27th 2021
Mr. Siddhartha Mukherjee
Samsung R&D Institute,Bangalore
Title: Different Approaches to Natural Language Processing
Research Areas : Natural Language Processing, Machine Learning, Deep Learning,
Image Processing, Human Computer Interaction.

Oct 30th 2021
Dr. Sriparna Saha
Associate Professor, CSE department
Indian Institute of Technology, Patna
Title: On Summarization Systems
Research Areas : Machine Learning, Text Mining, Pattern Recognition, Multiobjective Optimization,
Bio-Text Mining, Bioinformatics, Soft Computing.

Sept 25th 2021
Dr. Sambaran Bandyopadhyay
Applied Scientist
Amazon Science, Bangalore
Title: Graph Representation Learning in the Presence of Community Outliers
Research Areas : Representation Learning on Graphs, Graph Neural Networks,
Machine Learning, Optimization, Computational Sustainability.

Aug 28th 2021
Dr. Vineeth N Balasubramanian
Head (AI) & Associate Professor, CSE
Indian Institute of Technology, Hyderabad
Title: Explaining Neural Networks: A Causal Perspective
Research Areas : Deep Learning, Machine Learning, Computer Vision,
Optimization, Real-world Applications.