Srini Devadas
professor of electrical engineering and computer science at MIT
Facts
9 properties- Instance of
- human
- Date of birth
- 1963
- Occupation
- university teacher, computer scientist
- Educated at
- University of California, Berkeley[5]
- Award received
- W. Wallace McDowell Award[7]
- Doctoral advisor
- A. Richard Newton[6]
- Doctoral student
- Charles William O'Donnell, David Wentzlaff, Henry Hoffmann, Keun Sup Shim, Myong Hyon Brandon Cho, Michel A. Kinsy, Prabhat Jain, Dwaine Errol Clarke, Gookwon Edward Suh, Sandeep Chatterjee, Daniel Wayne Engels, George Ioannou Hadjiyiannis, Farzan Fallah, Silvina Zimi Hanono, Amelia Huimin Shen, Filip Van Aelten, José Carlos Alves Pereira Monteiro[9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]
🏷️ Also known as
en Srini Devadas
🔖 Identifiers · 16
- ISNI
- 0000000110643593
- ORCID iD
- 0000-0001-8253-7714
- VIAF cluster ID
- 57468357
- Library of Congress Authorities ID
- n91002767
- GND ID
- 121371107
- DBLP author ID
- 14/3973
- Google Knowledge Graph ID
- /g/11g87lhbfr
- Google Scholar author ID
- y80AokkAAAAJ
- J9U entity ID
- 987007432622905171
- Mathematics Genealogy Project ID
- 144825
- NUKAT ID
- n2009127770
- National Library of Latvia ID
- 000258717
Show all 16 identifiers +4
- Nationale Thesaurus voor Auteursnamen ID
- 089421809
- SHARE Catalogue author ID
- 28482
- WorldCat Entities ID
- E39PBJfGWvcCYP3tj6cDbkjcT3
- Yale LUX ID
- person/e4895c66-e4e2-435d-88ba-f0022858fb97
🔗 Connections
Author of 11
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA,
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication,
A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction,
Benchmarking and Workload Analysis of Robot Dynamics Algorithms,
Circuit fingerprinting attacks: passive deanonymization of tor hidden services,
FPGA Implementation of a Cryptographically-Secure PUF Based on Learning Parity with Noise,
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning,
Private Approximate Nearest Neighbor Search with Sublinear Communication
+3 more
← Authored by 11
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA,
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication,
A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction,
Benchmarking and Workload Analysis of Robot Dynamics Algorithms,
Circuit fingerprinting attacks: passive deanonymization of tor hidden services,
FPGA Implementation of a Cryptographically-Secure PUF Based on Learning Parity with Noise,
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning,
Private Approximate Nearest Neighbor Search with Sublinear Communication
+3 more
Affiliated with 3
Occupation 2
Award received 1
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Employer 1
Instance of 1
Sex or gender 1
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Summary
Srini Devadas was born in 1963[1]. He worked as a university teacher[2] and computer scientist[3].
Body
Career and Affiliations
Doctoral students include Charles William O'Donnell[9], a bioinformatician[25], specialised in computational biology[26]; David Wentzlaff[10]; Henry Hoffmann[11]; Keun Sup Shim[12]; Myong Hyon Brandon Cho[13]; and Michel A. Kinsy[14].
FAQs
What did Srini Devadas do for work?
Srini Devadas worked as university teacher[2] and computer scientist[3].
Where did Srini Devadas go to school?
Srini Devadas was educated at University of California, Berkeley[5].
What awards did Srini Devadas receive?
Honors received include W. Wallace McDowell Award[7].