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Computer Science

D-Index
33
Citations
5940
World Ranking
12511
National Ranking
5078

Overview

Ankur Srivastava is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple fields, primarily intersecting computer science and engineering, with a particular focus on electrical and electronic engineering as well as hardware and architecture. They have made notable contributions to areas including physical unclonable functions and hardware security, integrated circuits and semiconductor failure analysis, and have also engaged in work related to neuroscience and neural engineering.

The main topics covered by their research include:

  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Integrated Circuits and Semiconductor Failure Analysis
  • Neuroscience and Neural Engineering
  • Security and Verification in Computing
  • Heat Transfer Mechanisms
  • Fluid Dynamics and Turbulent Flows
  • Heat Transfer and Optimization

The frequent co-authors with whom Ankur Srivastava has collaborated include:

  • Yuntao Liu
  • Michael Zuzak
  • Isaac McDaniel
  • G. K. Chhaparwal
  • Moumita Bhowmik

Srivastava has published extensively in several key venues, with multiple papers appearing in these frequent publication outlets:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • arXiv (Cornell University)
  • ACM Transactions on Design Automation of Electronic Systems
  • Climate Dynamics
  • Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Notable recent papers authored or co-authored by Srivastava include:

  • Numerical and experimental investigation of different rib roughness in a solar air heater, 2020, Thermal Science and Engineering Progress
  • DRAMsim3: A Cycle-Accurate, Thermal-Capable DRAM Simulator, 2020, IEEE Computer Architecture Letters

These publications indicate Srivastava's involvement in both experimental and computational research methodologies. Their work on solar air heaters relates to mechanical engineering principles, while their contributions to DRAM simulation reflect an intersection of hardware architecture and computer engineering.

Srivastava's interdisciplinary research approach covers artificial intelligence applications, hardware security, and thermal systems, reflecting a broad engineering and computer science expertise. They continue to contribute knowledge to various technical communities through peer-reviewed journals and conference proceedings.

Best Publications

  • Optimal Energy Aware Clustering in Sensor Networks

    Soheil Ghiasi;Ankur Srivastava;Xiaojian Yang;Majid Sarrafzadeh

  • Statistical Timing Analysis: From Basic Principles to State of the Art

    D. Blaauw;K. Chopra;A. Srivastava;L. Scheffer

  • Mitigating SAT Attack on Logic Locking

    Yang Xie;Ankur Srivastava

  • DRAMsim3: A Cycle-Accurate, Thermal-Capable DRAM Simulator

    Shang Li;Zhiyuan Yang;Dhiraj Reddy;Ankur Srivastava

  • Anti-SAT: Mitigating SAT Attack on Logic Locking

    Yang Xie;Ankur Srivastava

  • Leakage Control Through Fine-Grained Placement and Sizing of Sleep Transistors

    V. Khandelwal;A. Srivastava

  • Variability Driven Gate Sizing for Binning Yield Optimization

    A. Davoodi;A. Srivastava

  • On Reverse Engineering-Based Hardware Trojan Detection

    Chongxi Bao;Domenic Forte;Ankur Srivastava

  • On application of one-class SVM to reverse engineering-based hardware Trojan detection

    Chongxi Bao;Domenic Forte;Ankur Srivastava

  • Neural Trojans

    Yuntao Liu;Yang Xie;Ankur Srivastava

  • Activity-driven clock design

    A.H. Farrahi;Chunhong Chen;A. Srivastava;G. Tellez

  • On gate level power optimization using dual-supply voltages

    Chunhong Chen;A. Srivastava;M. Sarrafzadeh

  • A general framework for accurate statistical timing analysis considering correlations

    Vishal Khandelwal;Ankur Srivastava

  • Evaluation of Variable-Infiltration Capacity Model and MODIS-Terra Satellite-Derived Grid-Scale Evapotranspiration Estimates in a River Basin with Tropical Monsoon-Type Climatology

    Ankur Srivastava;Bhabagrahi Sahoo;Narendra Singh Raghuwanshi;Rajendra Singh

  • Temperature tracking: an innovative run-time approach for hardware Trojan detection

    Domenic Forte;Chongxi Bao;Ankur Srivastava

  • Delay Locking: Security Enhancement of Logic Locking against IC Counterfeiting and Overproduction

    Yang Xie;Ankur Srivastava

  • Keynote: A Disquisition on Logic Locking

    Abhishek Chakraborty;Nithyashankari Gummidipoondi Jayasankaran;Yuntao Liu;Jeyavijayan Rajendran

  • Parametric yield maximization using gate sizing based on efficient statistical power and delay gradient computation

    K. Chopra;S. Shah;A. Srivastava;D. Blaauw

  • Temperature Tracking: Toward Robust Run-Time Detection of Hardware Trojans

    Chongxi Bao;Domenic Forte;Ankur Srivastava

  • Variability driven gate sizing for binning yield optimization

    Azadeh Davoodi;Ankur Srivastava

  • Leakage control through fine-grained placement and sizing of sleep transistors

    V. Khandelwal;A. Srivastava

  • Variability-Driven Formulation for Simultaneous Gate Sizing and Postsilicon Tunability Allocation

    V. Khandelwal;A. Srivastava

Frequent Co-Authors

Domenic Forte
Domenic Forte University of Florida
Suryachandra A. Rao
Suryachandra A. Rao Indian Institute of Tropical Meteorology
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles
Narendra Singh Raghuwanshi
Narendra Singh Raghuwanshi Indian Institute of Technology Kharagpur
Eric Rice
Eric Rice University of Southern California
Ozgur Sinanoglu
Ozgur Sinanoglu New York University Abu Dhabi
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Rama Chellappa
Rama Chellappa Johns Hopkins University
Jeyavijayan Rajendran
Jeyavijayan Rajendran Texas A&M University
Ramesh Karri
Ramesh Karri New York University

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