World's Best Scientists 2026 revealed!

Overview

Asit K. Mishra is affiliated with University College Cork in Ireland and focuses their research primarily within the fields of Dentistry and Medicine. Their work spans several subfields including Oral Surgery, Urology, Pharmacy, Periodontics, and Surgery. The main topics covered in their research highlight areas such as Periodontal Regeneration and Treatments, Oral and Maxillofacial Pathology, Dental Radiography and Imaging, Oral and gingival health research, Oral microbiology and periodontitis research, Dental Implant Techniques and Outcomes, and Vascular Malformations and Hemangiomas.

Mishra has contributed to multiple peer-reviewed journals including the World Journal of Experimental Medicine, Clinical Advances in Periodontics, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH, and the Journal of Indian Society of Periodontology. These venues reflect the interdisciplinary and clinical nature of their research focus.

Their recent published papers include:

  • Comparative evaluation of effect of injectable platelet-rich fibrin with collagen membrane compared with collagen membrane alone for gingival recession coverage (2022, World Journal of Experimental Medicine)
  • Comparative evaluation of the clinical and radiographic efficacy of 0.05% zoledronate gel as local drug delivery system in treating intrabony defects in stage III grade B periodontitis patients with and without type-2 diabetes mellitus-A randomized split-mouth clinical trial (2023, Clinical Advances in Periodontics)
  • CURRENT CONCEPTS AND RECENT ADVANCES IN PERI-IMPLANT DISEASES: - A NARRATIVE REVIEW. (2022, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH)
  • Lobular capillary hemangioma with an intraosseous feeder vessel through an accessory buccal foramen in the mandible: A unique case report (2024, Journal of Indian Society of Periodontology)

Frequent collaborators in their research include Laxmikanta Patra, Subash Chandra Raj, Neelima Katti, Devapratim Mohanty, and Abinash Pattanaik. These co-authors have jointly contributed to multiple publications, indicating recurring cooperative research partnerships.

Mishra's work largely addresses clinical and experimental interventions in oral health, with considerable emphasis on regenerative treatments and treatment efficacy evaluations. The research integrates clinical trials, narrative reviews, and unique case reports, contributing to a diverse range of scientific literature within oral and maxillofacial disciplines and related medical specialties.

Best Publications

  • Towards characterizing cloud backend workloads: insights from Google compute clusters

    Asit K. Mishra;Joseph L. Hellerstein;Walfredo Cirne;Chita R. Das

  • OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance

    Adwait Jog;Onur Kayiran;Nachiappan Chidambaram Nachiappan;Asit K. Mishra

  • Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs

    Adwait Jog;Asit K. Mishra;Cong Xu;Yuan Xie

  • Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC

    Eriko Nurvitadhi;David Sheffield;Jaewoong Sim;Asit Mishra

  • MIRA: A Multi-layered On-Chip Interconnect Router Architecture

    Dongkook Park;Soumya Eachempati;Reetuparna Das;Asit K. Mishra

  • Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

    Asit K. Mishra;Debbie Marr

  • Orchestrated scheduling and prefetching for GPGPUs

    Adwait Jog;Onur Kayiran;Asit K. Mishra;Mahmut T. Kandemir

  • Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities

    Ashutosh Pattnaik;Xulong Tang;Adwait Jog;Onur Kayiran

  • WRPN: Wide Reduced-Precision Networks

    Asit K. Mishra;Eriko Nurvitadhi;Jeffrey J. Cook;Debbie Marr

  • Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC

    Eriko Nurvitadhi;Jaewoong Sim;David Sheffield;Asit Mishra

  • A case for dynamic frequency tuning in on-chip networks

    Asit K. Mishra;Reetuparna Das;Soumya Eachempati;Ravi Iyer

  • Performance and power optimization through data compression in Network-on-Chip architectures

    R. Das;A.K. Mishra;C. Nicopoulos;Dongkook Park

  • Runnemede: An architecture for Ubiquitous High-Performance Computing

    N. P. Carter;A. Agrawal;S. Borkar;R. Cledat

  • Architecting on-chip interconnects for stacked 3D STT-RAM caches in CMPs

    Asit K. Mishra;Xiangyu Dong;Guangyu Sun;Yuan Xie

  • METE: meeting end-to-end QoS in multicores through system-wide resource management

    Akbar Sharifi;Shekhar Srikantaiah;Asit K. Mishra;Mahmut Kandemir

  • A heterogeneous multiple network-on-chip design: an application-aware approach

    Asit K. Mishra;Onur Mutlu;Chita R. Das

  • An energy-efficient heterogeneous CMP based on hybrid TFET-CMOS cores

    Vinay Saripalli;Asit Mishra;Suman Datta;Vijaykrishnan Narayanan

  • A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study

    Duncan J.M Moss;Srivatsan Krishnan;Eriko Nurvitadhi;Piotr Ratuszniak

  • High performance binary neural networks on the Xeon+FPGA™ platform

    Duncan J. M. Moss;Eriko Nurvitadhi;Jaewoong Sim;Asit Mishra

  • CPM in CMPs: Coordinated Power Management in Chip-Multiprocessors

    Asit K. Mishra;Shekhar Srikantaiah;Mahmut Kandemir;Chita R. Das

Frequent Co-Authors

Chita R. Das
Chita R. Das Pennsylvania State University
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
N. Vijaykrishnan
N. Vijaykrishnan Pennsylvania State University
Suman Datta
Suman Datta Georgia Institute of Technology
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Shekhar Borkar
Shekhar Borkar Qualcomm (United States)
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign

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