Amit Apte, Anugu Sumith Reddy and Sreekar Vadlamani ( 2020) Asymptotic properties of linear filter for deterministic processes. Systems and Control Letters, Vol. 139.
Snigdha Panigrahi, Jonathan Taylor and Sreekar Vadlamani, (2019) Kinematic formula for heterogeneous Gaussian related fields. Stoch. Proc. Appl., Vol. 129, No. 7, 2437--2465.
Amir Dembo, Anna Levit and Sreekar Vadlamani (2019) Component sizes for large quantum Erdos-Renyi graph near criticality. Ann. Probab. , Vol.47, No. 2, 1185--1219.
Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan and Sreekar Vadlamani (2018) A discrete view of the Indian monsoon to identify spatial patterns of rainfall. Dynamics and Statistics of the Climate System, Vol. 3, No. 1
Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan and Sreekar Vadlamani (2018) Spatio-temporal patterns of daily Indian monsoon rainfall. Dynamics and Statistics of the Climate System, Vol. 3, No. 1
Tulasi Ram Reddy, Sreekar Vadlamani and D. Yogeshwaran (2018) Central limit theorem for quasi-local statistics of spin models on Cayley graphs. J. Stat. Phys. Vol. 173, No. 3--4, 941--984.
Marie Kratz and Sreekar Vadlamani (2017) CLT for Lipschitz-Killing curvatures of excursion sets of Gaussian fields. J. Theor. Probab., Vol. 31, No. 3, 1729--1758.
Domenico Marinucci and Sreekar Vadlamani (2016) High frequency asymptotics of excursion probabilities of spherical random fields, Ann. of Applied Probab. Vol. 26(1), 462--506.
Domenico Marinucci and Sreekar Vadlamani (2015) A note on global suprema of band-limited spherical random functions, Statistics and Probability Letters, 96, 141--148.
Jonathan Taylor, and Sreekar Vadlamani (2013) Random Fields and the Geometry of Wiener space, Ann. of Probab., 41(4), 2724--2754.
Sreekar Vadlamani, (2010) Fractional Brownian Flows, J. Theor. Probab., 23 (2010), 257--276.
Sreekar Vadlamani and Robert J. Adler Sreekar Vadlamani (2006) Global Geometry Under Isotropic Brownian Flows, Elect. Comm. Probab., Vol. 11, 182--192.
Madhuresh, Ph.D. [joint with Amit Apte], Bayesian approach to ill-posed inverse problems. TIFR-CAM, 2017
Arvid Wallin, UG thesis, Analysing call center data: a case study, Lund University, 2019
Erik Oldehed, Master Thesis [joint with Marie Kratz], Risk measures on graphical models, Lund University, 2019
Member at TIFR-CAM for Airbus Foundation Chair in Mathematics of Complex Systems. 2013--2017 (EUR 400,000)
Geometry of excursion sets of random fields, joint with Prof. M. Kratz (ESSEC, France) funded by Indo-French Center for Applied Mathematics (IFCAM). 2014--2016 (EUR 14,000)
Quantifying risk using geometry of random fields, MATRICS grant funded by Science and Engineering Research Board (SERB). 2020--2022 (INR 200,00 per year)