World's Best Scientists 2026 revealed!
Akash Kumar

Akash Kumar

D-Index & Metrics

Computer Science

D-Index
36
Citations
6288
World Ranking
11162
National Ranking
560

Overview

Akash Kumar is affiliated with TU Dresden in Germany and has contributed extensively to research in computer science and engineering. Their work spans multiple subfields, primarily focusing on electrical and electronic engineering, hardware and architecture, as well as artificial intelligence and computer vision and pattern recognition.

Their recent publications include research on high-performance computing hardware and emerging semiconductor devices. Notable papers are:

  • "High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators" (2021) published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Reconfigurable field effect transistors: A technology enablers perspective" (2022) published in Solid-State Electronics
  • "Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures" (2020) published in IEEE Transactions on Computers
  • "Crime Prediction Using K-Nearest Neighboring Algorithm" (2020) published in the 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)
  • "20 Years of reconfigurable field-effect transistors: From concepts to future applications" (2021) published in Solid-State Electronics

The scientist frequently collaborates with researchers including Salim Ullah, Shubham Rai, Siva Satyendra Sahoo, Bernd Waschneck, and Behnaz Ranjbar. These coauthors have contributed jointly to several works, reflecting a networked research environment.

Akash Kumar's research topics concentrate on areas such as low-power high-performance VLSI design, parallel computing and optimization techniques, advanced memory and neural computing, advancements in semiconductor devices and circuit design, advanced neural network applications, neural networks and applications broadly, and physical unclonable functions (PUFs) and hardware security.

Key publication venues where Akash Kumar frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Access
  • IEEE Embedded Systems Letters
  • International Journal for Research in Applied Science and Engineering Technology

Their work covers both theoretical and practical aspects within engineering and computer science fields, with an emphasis on hardware design and artificial intelligence relevant to evolving computational architectures and security.

Best Publications

  • Mapping on multi/many-core systems: survey of current and emerging trends

    Amit Kumar Singh;Muhammad Shafique;Akash Kumar;Jorg Henkel

  • Thermal Modeling, Characterization and Management of On-Chip Networks

    Li Shang;Li-Shiuan Peh;Amit Kumar;Niraj K. Jha

  • Communication-aware heuristics for run-time task mapping on NoC-based MPSoC platforms

    Amit Kumar Singh;Thambipillai Srikanthan;Akash Kumar;Wu Jigang

  • Architectural-space exploration of approximate multipliers

    Semeen Rehman;Walaa El-Harouni;Muhammad Shafique;Akash Kumar

  • Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems

    Anup Das;Rishad A. Shafik;Geoff V. Merrett;Bashir M. Al-Hashimi

  • High-Performance Accurate and Approximate Multipliers for FPGA-based Hardware Accelerators

    Salim Ullah;Semeen Rehman;Muhammad Shafique;Akash Kumar

  • An FPGA Design Flow for Reconfigurable Network-Based Multi-Processor Systems on Chip

    A. Kumar;A. Hansson;J. Huisken;H. Corporaal

  • A Low Active Leakage and High Reliability Phase Change Memory (PCM) Based Non-Volatile FPGA Storage Element

    Kejie Huang;Yajun Ha;Rong Zhao;Akash Kumar

  • Designing Efficient Circuits Based on Runtime-Reconfigurable Field-Effect Transistors

    Shubham Rai;Jens Trommer;Michael Raitza;Thomas Mikolajick

  • Adaptive and transparent cache bypassing for GPUs

    Ang Li;Gert-Jan van den Braak;Akash Kumar;Henk Corporaal

  • High-Throughput and Low-Power Architectures for Reed Solomon Decoder

    A. Kumar;S. Sawitzki

  • Interactive presentation: An FPGA design flow for reconfigurable network-based multi-processor systems on chip

    Akash Kumar;Andreas Hansson;Jos Huisken;Henk Corporaal

  • Multiprocessor systems synthesis for multiple use-cases of multiple applications on FPGA

    Akash Kumar;Shakith Fernando;Yajun Ha;Bart Mesman

  • Accelerating throughput-aware runtime mapping for heterogeneous MPSoCs

    Amit Kumar Singh;Akash Kumar;Thambipillai Srikanthan

  • Project-Based Learning in Embedded Systems Education Using an FPGA Platform

    Akash Kumar;Shakith Fernando;Rajesh C. Panicker

  • Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems

    Anup Das;Akash Kumar;Bharadwaj Veeravalli

  • Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs

    A. Das;A. Kumar;B. Veeravalli;C. Bolchini

  • Locality-Aware CTA Clustering for Modern GPUs

    Ang Li;Shuaiwen Leon Song;Weifeng Liu;Xu Liu

  • Shouji: a fast and efficient pre-alignment filter for sequence alignment

    Mohammed Alser;Mohammed Alser;Mohammed Alser;Hasan Hassan;Akash Kumar;Onur Mutlu;Onur Mutlu

  • Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems

    Anup Das;Akash Kumar;Bharadwaj Veeravalli

  • Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures

    Salim Ullah;Hendrik Schmidl;Siva Satyendra Sahoo;Semeen Rehman

  • Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems

    Amit Kumar Singh;Anup Das;Akash Kumar

  • SMApproxlib: library of FPGA-based approximate multipliers

    Salim Ullah;Sanjeev Sripadraj Murthy;Akash Kumar

  • Supplementary Materials to Adaptive and Transparent Cache Bypassing for GPUs

    Ang Li;Gert-Jan van den Braak;Akash Kumar;Henk Corporaal

Frequent Co-Authors

Henk Corporaal
Henk Corporaal Eindhoven University of Technology
Anup Das
Anup Das Drexel University
Bharadwaj Veeravalli
Bharadwaj Veeravalli National University of Singapore
Muhammad Shafique
Muhammad Shafique New York University Abu Dhabi
Thambipillai Srikanthan
Thambipillai Srikanthan Nanyang Technological University
Sander Stuijk
Sander Stuijk Eindhoven University of Technology
Armin G. Aberle
Armin G. Aberle National University of Singapore
Dongzhi Chi
Dongzhi Chi Agency for Science, Technology and Research
Seeram Ramakrishna
Seeram Ramakrishna Tsinghua University

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