Lakshmish Ramaswamy

Lakshmish Ramaswamy

University of Georgia

H-index: 27

North America-United States

About Lakshmish Ramaswamy

Lakshmish Ramaswamy, With an exceptional h-index of 27 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of Big Data, Internet of Things, Cloud and Edge Computing, Smart Cities and Communities, Trustworthy Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach

Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches

Reaching for the sky: Maximizing deep learning inference throughput on edge devices with ai multi-tenancy

F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning

Towards modular machine learning solution development: Benefits and trade-offs

DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors

Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data.

Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands

Lakshmish Ramaswamy Information

University

Position

Professor of Computer Science

Citations(all)

2381

Citations(since 2020)

695

Cited By

1948

hIndex(all)

27

hIndex(since 2020)

15

i10Index(all)

60

i10Index(since 2020)

31

Email

University Profile Page

University of Georgia

Google Scholar

View Google Scholar Profile

Lakshmish Ramaswamy Skills & Research Interests

Big Data

Internet of Things

Cloud and Edge Computing

Smart Cities and Communities

Trustworthy Informatics

Top articles of Lakshmish Ramaswamy

Title

Journal

Author(s)

Publication Date

Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach

Mathematics

Abdulrahman Gharawi

Mohammad D Alahmadi

Lakshmish Ramaswamy

2023/9/5

Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches

Samiyuru Menik

Lakshmish Ramaswamy

2023/12/15

Reaching for the sky: Maximizing deep learning inference throughput on edge devices with ai multi-tenancy

ACM Transactions on Internet Technology

Jianwei Hao

Piyush Subedi

Lakshmish Ramaswamy

In Kee Kim

2023/2/24

F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning

arXiv preprint arXiv:2401.08609

Mohammad Al-Saad

Lakshmish Ramaswamy

Suchendra Bhandarkar

2023/11/28

Towards modular machine learning solution development: Benefits and trade-offs

arXiv preprint arXiv:2301.09753

Samiyuru Menik

Lakshmish Ramaswamy

2023/1/23

DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors

Jianwei Hao

Emmanuel Oni

In Kee Kim

Lakshmish Ramaswamy

2023/11/17

Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data.

Abdulrahman Ahmed Gharawi

Jumana Alsubhi

Lakshmish Ramaswamy

2023

Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands

Jianwei Hao

Rajneesh Sharma

Mary B Fleming

In Kee Kim

Deepak R Mishra

...

2023/11/1

Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback.

Hemadri Jayalath

Ghadeer I Yassin

Lakshmish Ramaswamy

Sheng Li

2023

Harvesting Security: A Semantically Enriched Access Control Architecture for Smart Farms

Ghadeer I Yassin

Lakshmish Ramaswamy

2023/11/1

SECOE: Alleviating sensors failure in machine learning-coupled IoT systems

Yousef AlShehri

Lakshmish Ramaswamy

2022/12/12

Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical Study

Abdulrahman Ahmed Gharawi

Jumana Alsubhi

Lakshmish Ramaswamy

2022/12/12

Enhancing Performance of Operationalized Machine Learning Models by Analyzing User Feedback

Hemadri Jayalath

Lakshmish Ramaswamy

2022/3/18

Effective & Efficient Access Control in Smart Farms: Opportunities, Challenges & Potential Approaches.

Ghadeer I Yassin

Lakshmish Ramaswamy

2022

DTEx: A dynamic urban thermal exposure index based on human mobility patterns

Environment International

Yanzhe Yin

Andrew Grundstein

Deepak R Mishra

Lakshmish Ramaswamy

Navid Hashemi Tonekaboni

...

2021/10/1

AI multi-tenancy on edge: Concurrent deep learning model executions and dynamic model placements on edge devices

Piyush Subedi

Jianwei Hao

In Kee Kim

Lakshmish Ramaswamy

2021/9/5

Towards a robust knowledge graph-enabled machine learning service description framework

Samiyuru Menik

Lakshmish Ramaswamy

2021/1/27

Privacy Vulnerabilities of Wearable Activity Monitors: Threat and Potential Defence

Mohammad Al-Saad

Madeleine Lucas

Lakshmish Ramaswamy

2021/12/13

Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach

Delaram Yazdansepas

Nitin Saroha

Lakshmish Ramaswamy

Khaled Rasheed

2020

Characterizing resource heterogeneity in edge devices for deep learning inferences

Jianwei Hao

Piyush Subedi

In Kee Kim

Lakshmish Ramaswamy

2021/6/21

See List of Professors in Lakshmish Ramaswamy University(University of Georgia)

Co-Authors

H-index: 83
Ling Liu

Ling Liu

Georgia Institute of Technology

H-index: 71
Calton Pu

Calton Pu

Georgia Institute of Technology

H-index: 32
Suchendra Bhandarkar

Suchendra Bhandarkar

University of Georgia

H-index: 31
Kang Li

Kang Li

University of Georgia

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