## Organisers:

## Time:

## Venue:

Scheduling problems in queueing systems have been long studied under the assumption that the service rates are known a priori.

Speaker:

Subhashini Krishnasamy, TIFR

Tuesday, 13 February 2018, 17:00 to 18:00

Scheduling problems in queueing systems have been long studied under the assumption that the service rates are known a priori.

Speaker:

Aditya Nema, TIFR

Friday, 2 February 2018, 17:15 to 18:45

In this talk I'll be presenting the result of Beigi et.al.

Pankaj S. Joshi

Tuesday, 6 February 2018, 14:30 to 15:30

Gravitational collapse of matter clouds is a fundamental process in astrophysics, cosmology, and black hole physics today.

Navin Kashyap

Thursday, 18 January 2018, 11:30 to 12:30

A binary m x n array is said to satisfy the two-dimensional (2-D) hard square constraint if no row or column of the array contains ones in consecutive positions. Let N(m,n) denote the number of such arrays.

Michel Mandjes

Tuesday, 23 January 2018, 14:30 to 15:30

Poisson processes are frequently used, e.g. to model the customer arrival process in service systems, or the claim arrival proces in insurance models.

Ajay Kshemkalyani

Friday, 12 January 2018, 16:00 to 17:00

Data replication is commonly used for fault-tolerance in reliable distributed systems. In large-scale systems, it additionally provides low latency.

Rohit Gurjar

Tuesday, 16 January 2018, 11:30 to 12:30

To understand the power of randomization is one of the fundamental questions in theoretical computer science.

Raaz Dwivedi

Tuesday, 9 January 2018, 16:00 to 17:00

Drawing samples from a known distribution is a core computational challenge common to many disciplines, with applications in statistics, probability, perations research, and other areas involving stochastic models.

Speaker:

Kshitij Gajjar, TIFR

Friday, 5 January 2018, 17:15 to 18:45

Let $G$ be a directed graph on $n$ vertices (with two designated vertices $s$ and $t$) such that the edge weights of $G$ are real-valued linear functions of a parameter $\lambda$.

Parikshit Gopalan

Tuesday, 2 January 2018, 16:00 to 17:00

Detecting outliers in high dimensional data is a central problem in data analysis.