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Prasanalakshmi Balaji
PeerJ Author & Reviewer
405 Points

Contributions by role

Author 235
Reviewer 170

Contributions by subject area

Agents and Multi-Agent Systems
Artificial Intelligence
Data Mining and Machine Learning
Security and Privacy
Internet of Things
Bioinformatics
Computer Vision
Data Science
Neural Networks
Food Science and Technology
Mycology
Computational Linguistics
Natural Language and Speech
Text Mining
Algorithms and Analysis of Algorithms

Prasanalakshmi Balaji

PeerJ Author & Reviewer

Summary

Prasanalakshmi B is a research professor at the College of Computer Science at King Khalid University, Saudi Arabia. She was a Postdoctoral Fellow in the Data Science Laboratory at the Industrial University of Ho Chi Minh City, Vietnam, and a Visiting professor at Cardiff Metropolitan University, UK.

She received a Ph. D. from Bharathiar University, India, and a Master's of Computer Engineering with Distinction from Anna University, India, in Cryptography security.
She has achieved globally recognized professional certifications from various IT giants.
She has published 60+ research articles in various internationally refereed journals (SCIE/SCOPUS) and published international conferences indexed in Springer, IEEEXplore, ACM, and Book Chapters. She was a Technical Program, Organizing, Advisory, and Review Committee Member for 50+ National and International Conferences worldwide.
She is actively a reviewer for IEEE Access, MDPI Cancers, MDPI Applied Sciences, Frontiers in Artificial Intelligence, and the IEEE Journal of Biomedical and Health Informatics, including PeerJ Computer Science.

She achieved an Elsevier Academy Certified Peer Reviewer and Editor Essentials.

She has 18+ years of teaching and research experience in multiple institutions, including King Saud University, Saudi Arabia, in 2009.
Intellectual Property Rights: Australian, German, South African and UK Patents.
She has served as Session Chair and Co-Chair at National and International Conferences and as the keynote speaker at five Faculty Development Programs.
In addition, has professional membership in five Research Organizations in the grade of Life/Associate. Six Awards for Teaching, Research, Innovation, and Scientist Activities.
She won the first-place cash award for research and innovation from the Deanship of Quality Affairs, King Khalid University, KSA, and is a Fellow of the HEA-UK.
Her Areas of Interest are neural Networks, Medical Imaging, Deep learning, Machine learning, Data Science, and the Internet of Things (IoT).

Artificial Intelligence Computational Biology Computer Vision Data Mining & Machine Learning Internet of Things Security & Privacy

Past or current institution affiliations

King Khalid University

Work details

Research professor

King Khalid University
Department of Computer Science

Identities

@drsanaksa

Websites

  • Google Scholar
  • ResearcherId

PeerJ Contributions

  • Articles 4
  • Reviewed 3
October 31, 2024
Metaheuristic optimized complex-valued dilated recurrent neural network for attack detection in internet of vehicular communications
Prasanalakshmi Balaji, Korhan Cengiz, Sangita Babu, Omar Alqahtani, Sedat Akleylek
https://doi.org/10.7717/peerj-cs.2366
September 23, 2024
Revolutionizing diabetic eye disease detection: retinal image analysis with cutting-edge deep learning techniques
Banumathy D, Swathi Angamuthu, Prasanalakshmi Balaji, Mousmi Ajay Chaurasia
https://doi.org/10.7717/peerj-cs.2186
May 24, 2023
A novel artificial intelligence-based predictive analytics technique to detect skin cancer
Prasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu
https://doi.org/10.7717/peerj-cs.1387
March 8, 2023
Machine learning based IoT system for secure traffic management and accident detection in smart cities
Saravana Balaji Balasubramanian, Prasanalakshmi Balaji, Asmaa Munshi, Wafa Almukadi, T. N. Prabhu, Venkatachalam K, Mohamed Abouhawwash
https://doi.org/10.7717/peerj-cs.1259

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.

December 13, 2024
Multimodal Alzheimer’s disease classification through ensemble deep random vector functional link neural network
Pablo A. Henríquez, Nicolás Araya
https://doi.org/10.7717/peerj-cs.2590
October 21, 2024
A systematic review on artificial intelligence approaches for smart health devices
Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano
https://doi.org/10.7717/peerj-cs.2232
January 9, 2024
Classification and selection of the main features for the identification of toxicity in Agaricus and Lepiota with machine learning algorithms
Jacqueline S. Ortiz-Letechipia, Carlos E. Galvan-Tejada, Jorge I. Galván-Tejada, Manuel A. Soto-Murillo, Erika Acosta-Cruz, Hamurabi Gamboa-Rosales, José María Celaya Padilla, Huizilopoztli Luna-García
https://doi.org/10.7717/peerj.16501 PubMed 38223762