Sasan Tavakkol

Dr. Sasan Tavakkol


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 August 2017 in Computer Physics Communications
Verified
Journal Article
Closed access
STSasan Tavakkol
Sasan Tavakkol
PLPatrick Lynett
Patrick Lynett

1 March 2020 in Computer Physics Communications
Verified
Journal Article
Closed access
STSasan Tavakkol
Sasan Tavakkol
PLPatrick Lynett
Patrick Lynett

5 August 2014 in Sādhanā
Verified
Journal Article
Closed access
PDF file
MAMaryam Azarpira
Maryam Azarpira
HSHamed Sarkardeh
Hamed Sarkardeh
STSasan Tavakkol
Sasan Tavakkol
RRReza Roshan
Reza Roshan
HBHossein Bakhshi
Hossein Bakhshi

1 August 2021 in Computer Physics Communications
Verified
Journal Article
Closed access
STSasan Tavakkol
Sasan Tavakkol
SSSangyoung Son
Sangyoung Son
PLPatrick Lynett
Patrick Lynett

1 January 2018 in Journal of Pathology Informatics
Verified
Journal Article
Open access
PDF file
RARoshanak Alialy
Roshanak Alialy
STSasan Tavakkol
Sasan Tavakkol
ETElham Tavakkol
Elham Tavakkol
AGAmir Ghorbani-Aghbologhi
Amir Ghorbani-Aghbologhi
AGAlireza Ghaffarieh
Alireza Ghaffarieh
CSCyrus Shahabi
Cyrus Shahabi
The advent of the digital pathology has introduced new avenues of diagnostic medicine. Among them, crowdsourcing has attracted researchers' attention in the recent years, allowing them to engage thousands of untrained individuals in research and diagnosis. While there exist several articles in this regard, prior works have not collectively documented them. We, therefore, aim to review the applications of crowdsourcing in human pathology in a semi-systematic manner. We first, introduce a novel method to do a systematic search of the literature. Utilizing this method, we, then, collect hundreds of articles and screen them against a predefined set of criteria. Furthermore, we crowdsource part of the screening process, to examine another potential application of crowdsourcing. Finally, we review the selected articles and characterize the prior uses of crowdsourcing in pathology.

2 May 2016 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
NKNikos Kalligeris
Nikos Kalligeris
VSVassilios Skanavis
Vassilios Skanavis
STSasan Tavakkol
Sasan Tavakkol
AAAykut Ayca
Aykut Ayca
HSHoda El Safty
Hoda El Safty
CSCostas Synolakis
Costas Synolakis
Tsunami‐induced coastal currents are spectacular examples of nonlinear and chaotic phenomena. Due to their long periods, tsunamis transport substantial energy into coastal waters, and as this energy interacts with the ubiquitous irregularity of bathymetry, shear and turbulent features appear. The oscillatory character of a tsunami wave train leads to flow reversals, which in principle can spawn persistent turbulent coherent structures (e.g., large vortices or “whirlpools”) that can dominate damage and transport potential. However, no quantitative measurements exist to provide physical insight into this kind of turbulent variability, and no motion recordings are available to help elucidate how these vortical structures evolve and terminate. We report our measurements of currents in Ventura Harbor, California, generated by the 2015 Chilean M8.3 earthquake. We measured surface velocities using GPS drifters and image sequences of surface tracers deployed at a channel bifurcation, as the event unfolded. From the maps of the flow field, we find that a tsunami with a near‐shore amplitude of 30 cm at 6 m depth produced unexpectedly large currents up to 1.5 m/s, which is a fourfold increase over what simple linear scaling would suggest. Coherent turbulent structures appear throughout the event, across a wide range of scales, often generating the greatest local currents.