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Lalit Garg
PeerJ Author & Reviewer
985 Points

Contributions by role

Author 135
Reviewer 50
Editor 800

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Networks and Communications
Emerging Technologies
Internet of Things
Bioinformatics
Computer Vision
Distributed and Parallel Computing
Data Mining and Machine Learning
Optimization Theory and Computation
Spatial and Geographic Information Systems
Human-Computer Interaction
Robotics
Neural Networks
Mobile and Ubiquitous Computing
Data Science

Lalit Garg

PeerJ Author & Reviewer

Summary

Prof. Lalit Garg is an Associate Professor in Computer Information Systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised 200+ Masters' dissertations, 2 DBA and 5 PhD theses and published 150+ high-impact publications in refereed journals/conferences/books, 17 edited books and 22 patents. He has delivered numerous keynote speeches, organised/chaired international conferences, and consulted countless public and private organisations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).

Algorithms & Analysis of Algorithms Artificial Intelligence Blockchain Brain-Computer Interface Computational Biology Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Mobile & Ubiquitous Computing Social Computing Visual Analytics

Past or current institution affiliations

Institut National des Sciences Appliquées et de Technologie
Thapar Institute of Engineering and Technology
Nanyang Technological University
University of Malta
University of Ulster

Work details

Senior Lecturer

University of Malta
July 2012
Department of Computer information Systems, Faculty of Information and Communication Technology
Research and Teaching

Honorary Lecturer

University of Liverpool
August 2001
Computer Science Department (Laureate Online Education, BV)

Lecturer

Madhav Institute of Tech. & Science, Gwalior, India
April 2001 - August 2001
Computer Science and Engineering Department

Lecturer

Thapar Institute of Engineering and Technology
August 2001 - December 2004
Computer Science and Engineering Department

Stagiere (Research Trainee)

Institut National des Sciences Appliquées et de Technologie
February 2005 - July 2006

Research Associate (MATCH)

University of Ulster
December 2009 - March 2010
Faculty of Computing, Engineering and the Built Environment

Research Associate - Computational mathematics

University of Ulster
June 2010 - March 2011
Computer Science Research Institute

Research Fellow, Machine Learning

Nanyang Technological University
April 2011 - July 2012
School of Electrical and Electronic Engineering

Websites

  • Google Scholar
  • ResearcherID
  • LinkedIn

PeerJ Contributions

  • Articles 1
  • Edited 8
  • Reviewed 1
August 15, 2022
A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks
R. Muthukkumar, Lalit Garg, K. Maharajan, M. Jayalakshmi, Nz Jhanjhi, S. Parthiban, G. Saritha
https://doi.org/10.7717/peerj-cs.1029

Academic Editor on

March 31, 2023
Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques
Umer Zukaib, Mohammed Maray, Saad Mustafa, Nuhman Ul Haq, Atta ur Rehman Khan, Faisal Rehman
https://doi.org/10.7717/peerj-cs.1270
January 13, 2023
What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets
Muhammad Mujahid, Furqan Rustam, Fahad Alasim, MuhammadAbubakar Siddique, Imran Ashraf
https://doi.org/10.7717/peerj-cs.1193
June 3, 2022
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images
Mona Algarni, Abdulkader Al-Rezqi, Faisal Saeed, Abdullah Alsaeedi, Fahad Ghabban
https://doi.org/10.7717/peerj-cs.993
May 6, 2022
Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions
Nantarika Thiamchoo, Pornchai Phukpattaranont
https://doi.org/10.7717/peerj-cs.949
March 28, 2022
Vegetation indices’ spatial prediction based novel algorithm for determining tsunami risk areas and risk values
Kristoko Dwi Hartomo, Yessica Nataliani, Zainal Arifin Hasibuan
https://doi.org/10.7717/peerj-cs.935
March 7, 2022
A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems
Mohammad Dehghani, Štěpán Hubálovský, Pavel Trojovský
https://doi.org/10.7717/peerj-cs.910
December 16, 2021
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Talha Meraj, Wael Alosaimi, Bader Alouffi, Hafiz Tayyab Rauf, Swarn Avinash Kumar, Robertas Damaševičius, Hashem Alyami
https://doi.org/10.7717/peerj-cs.805
September 2, 2021
Mobile augmented reality based indoor map for improving geo-visualization
Wei Ma, Shuai Zhang, Jincai Huang
https://doi.org/10.7717/peerj-cs.704

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

May 7, 2021
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Lakshmana Kumar Ramasamy, Shynu Gopalan Padinjappurathu, Seifedine Kadry, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.456