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Valentina Emilia Balas
Bronze Contributor
5,070 Points

Contributions by role

Author 335
Editor 4,735

Contributions by subject area

Artificial Intelligence
Optimization Theory and Computation
Computer Vision
Autonomous Systems
Robotics
Algorithms and Analysis of Algorithms
Neural Networks
Human-Computer Interaction
Social Computing
Bioinformatics
Brain-Computer Interface
Computer Education
Emerging Technologies
Mobile and Ubiquitous Computing
Scientific Computing and Simulation
Data Mining and Machine Learning
Data Science
Internet of Things
Natural Language and Speech
World Wide Web and Web Science
Programming Languages
Software Engineering
Real-Time and Embedded Systems
Security and Privacy
Blockchain
Computational Biology
Computer Architecture
Agents and Multi-Agent Systems
Embedded Computing
Visual Analytics
Computer Aided Design
Sentiment Analysis
Network Science and Online Social Networks
Adaptive and Self-Organizing Systems
Theory and Formal Methods
Bronze Contributor

Valentina Emilia Balas

PeerJ Editor, Author & Reviewer

Summary

Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.

She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.
She is the Editor-in Chief to IJAIP and to IJCSysE, and is evaluator expert for national, international projects.

Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations.
She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary.

Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.

She is a member of EUSFLAT, member of SIAM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), chair of the Task Force 14 in TC Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS).

Dr. Balas was past Vice-president ( Awards) of IFSA -(2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023).

Artificial Intelligence Autonomous Systems Bioengineering Brain-Computer Interface Computer Vision Human-Computer Interaction Real-Time & Embedded Systems Robotics Scientific Computing & Simulation Spatial & Geographic Information Systems

Work details

Full Professor

Aurel Vlaicu University of Arad
October 1993
Automation and Applied Informatics
Classes with students, master students, PhD students and research projects.

R&D Engineer

Railway Research Institute
May 1984 - October 1993
Design and Projects
Design and Research projects

Websites

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PeerJ Contributions

  • Articles 3
  • Edited 36
August 2, 2021
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
Parvathaneni Naga Srinivasu, Valentina Emilia Balas
https://doi.org/10.7717/peerj-cs.654
April 20, 2021
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Saleh Albahli, Hafiz Tayyab Rauf, Abdulelah Algosaibi, Valentina Emilia Balas
https://doi.org/10.7717/peerj-cs.495
April 13, 2021
Application of improved fuzzy best worst analytic hierarchy process on renewable energy
Priyanka Majumder, Valentina Emilia Balas, Arnab Paul, Dayarnab Baidya
https://doi.org/10.7717/peerj-cs.453

Academic Editor on

May 27, 2025
Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks
Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho
https://doi.org/10.7717/peerj-cs.2853
May 12, 2025
EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection
Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho
https://doi.org/10.7717/peerj-cs.2811
April 21, 2025
A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies
Walaa Gamaleldin, Osama Attayyib, Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Ruixing Ming
https://doi.org/10.7717/peerj-cs.2830
April 16, 2025
Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection
Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar
https://doi.org/10.7717/peerj-cs.2806
February 19, 2025
The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
Yupei Huang, Muhammad Gulistan, Amir Rafique, Wathek Chammam, Khursheed Aurangzeb, Ateeq Ur Rehman
https://doi.org/10.7717/peerj-cs.2555
January 29, 2025
Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer
Emre Kilinc, Umut Orhan
https://doi.org/10.7717/peerj-cs.2663
January 27, 2025
Deep learning for enhanced risk management: a novel approach to analyzing financial reports
Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang
https://doi.org/10.7717/peerj-cs.2661
January 23, 2025
A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning
Weitong Liu, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Meizhen Liu, Xuechen Zhao
https://doi.org/10.7717/peerj-cs.2595
December 23, 2024
Convolutional neural network (CNN) based month’s name recognition in Gurumukhi script for Punjab state of India
Tajinder Pal Singh, Sheifali Gupta, Jamil Hussain, Sapna Juneja, Meenu Garg, Deepali Gupta, Majed Alsafyani
https://doi.org/10.7717/peerj-cs.2627
December 12, 2024
Clustering-based Failed goal Aware Hindsight Experience Replay
Taeyoung Kim, Taemin Kang, Haechan Jeong, Dongsoo Har
https://doi.org/10.7717/peerj-cs.2588
December 10, 2024
ADHDP-based robust self-learning 3D trajectory tracking control for underactuated UUVs
Chunbo Zhao, Huaran Yan, Deyi Gao
https://doi.org/10.7717/peerj-cs.2605
December 3, 2024
Generative AI and future education: a review, theoretical validation, and authors’ perspective on challenges and solutions
Wali Khan Monib, Atika Qazi, Rosyzie Anna Apong, Mohammad Tazli Azizan, Liyanage De Silva, Hayati Yassin
https://doi.org/10.7717/peerj-cs.2105
December 2, 2024
An enhanced lightweight T-Net architecture based on convolutional neural network (CNN) for tomato plant leaf disease classification
Amreen Batool, Jisoo Kim, Sang-Joon Lee, Ji-Hyeok Yang, Yung-Cheol Byun
https://doi.org/10.7717/peerj-cs.2495
November 29, 2024
Enhancing Alzheimer’s disease classification through split federated learning and GANs for imbalanced datasets
G Narayanee Nimeshika, Subitha D
https://doi.org/10.7717/peerj-cs.2459
October 31, 2024
Employing deep learning in crisis management and decision making through prediction using time series data in Mosul Dam Northern Iraq
Khalid MK Khafaji, Bassem Ben Hamed
https://doi.org/10.7717/peerj-cs.2416
October 25, 2024
User-centric AI: evaluating the usability of generative AI applications through user reviews on app stores
Reham Alabduljabbar
https://doi.org/10.7717/peerj-cs.2421
October 22, 2024
Single-view 3D reconstruction via dual attention
Chenghuan Li, Meihua Xiao, Zehuan Li, Fangping Chen, Dingli Wang
https://doi.org/10.7717/peerj-cs.2403
October 18, 2024
Automated lesion detection in cotton leaf visuals using deep learning
Frnaz Akbar, Yassine Aribi, Syed Muhammad Usman, Hamzah Faraj, Ahmed Murayr, Fawaz Alasmari, Shehzad Khalid
https://doi.org/10.7717/peerj-cs.2369
October 16, 2024
fMRI-based Alzheimer’s disease detection via functional connectivity analysis: a systematic review
Maitha Alarjani, Badar Almarri
https://doi.org/10.7717/peerj-cs.2302
October 14, 2024
Traffic data imputation via knowledge graph-enhanced generative adversarial network
Yinghui Liu, Guojiang Shen, Nali Liu, Xiao Han, Zhenhui Xu, Junjie Zhou, Xiangjie Kong
https://doi.org/10.7717/peerj-cs.2408
October 1, 2024
Adaptive prototype few-shot image classification method based on feature pyramid
Linshan Shen, Xiang Feng, Li Xu, Weiyue Ding
https://doi.org/10.7717/peerj-cs.2322
September 3, 2024
Ten quick tips for electrocardiogram (ECG) signal processing
Davide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos
https://doi.org/10.7717/peerj-cs.2295
August 8, 2024
Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico
Roberto Angel Melendez-Armenta, Giovanni Luna Chontal, Sandra Guadalupe Garcia Aburto
https://doi.org/10.7717/peerj-cs.2241
August 5, 2024
Early detection of abiotic stress in plants through SNARE proteins using hybrid feature fusion model
Bhargavi T., Sumathi D.
https://doi.org/10.7717/peerj-cs.2149
July 29, 2024
CropGCNN: color space-based crop disease classification using group convolutional neural network
Naeem Ahmad, Shubham Singh, Mohamed Fahad AlAjmi, Afzal Hussain, Khalid Raza
https://doi.org/10.7717/peerj-cs.2136
July 23, 2024
Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
Kishor Lakshminarayanan, Vadivelan Ramu, Rakshit Shah, Md Samiul Haque Sunny, Deepa Madathil, Brahim Brahmi, Inga Wang, Raouf Fareh, Mohammad Habibur Rahman
https://doi.org/10.7717/peerj-cs.2174
June 17, 2024
Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method
Emre Şafak, Necaattin Barışçı
https://doi.org/10.7717/peerj-cs.2103
April 8, 2024
Adaptive robust structure exploration for complex systems based on model configuration and fusion
Yingfei Qu, Wanbing Liu, Junhao Wen, Ming Li
https://doi.org/10.7717/peerj-cs.1983
March 20, 2024
Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome
Fatma Hilal Yagin, Ahmadreza Shateri, Hamid Nasiri, Burak Yagin, Cemil Colak, Abdullah F. Alghannam
https://doi.org/10.7717/peerj-cs.1857
February 23, 2024
Automatic nutrient estimator: distributing nutrient solution in hydroponic plants based on plant growth
Tupili Sangeetha, Ezhumalai Periyathambi
https://doi.org/10.7717/peerj-cs.1871
February 22, 2024
Unlocking the potential of LSTM for accurate salary prediction with MLE, Jeffreys prior, and advanced risk functions
Fanghong Li, Norliza Abdul Majid, Shuo Ding
https://doi.org/10.7717/peerj-cs.1875
February 16, 2024
A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol
Emma I. Capaldi
https://doi.org/10.7717/peerj-cs.1826
October 17, 2023
A low-cost unity-based virtual training simulator for laparoscopic partial nephrectomy using HTC Vive
Fareeha Rasheed, Faisal Bukhari, Waheed Iqbal, Muhammad Asif, Hafiza Ayesha Hoor Chaudhry
https://doi.org/10.7717/peerj-cs.1627
September 26, 2023
Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals
Weiming Li, Junhui Gao
https://doi.org/10.7717/peerj-cs.1561
September 8, 2023
Active learning with label quality control
Xingyu Wang, Xurong Chi, Yanzhi Song, Zhouwang Yang
https://doi.org/10.7717/peerj-cs.1480
April 21, 2023
Image classification model based on large kernel attention mechanism and relative position self-attention mechanism
Siqi Liu, Jiangshu Wei, Gang Liu, Bei Zhou
https://doi.org/10.7717/peerj-cs.1344