GUEST EDITORS
- Lead Guest Editor:
Name: Dr. Ashish Bagwari,
Status: Head, Department of Electronics and Communication Engineering,
Affiliation: Women Institute of Technology (State Government Institution), Uttarakhand Technical University (State Government Technical University), India.
E-mail contacts: ashishbagwari@gmail.com; ashishbagwari@ieee.org; ashishbagwari@wit.ac.in;
Google scholar link: https://scholar.google.co.in/citations?hl=hi&user=6kYT6h0AAAAJ
- Guest Editor (s):
Name: Dr. Jorge Luis Victória Barbosa,
Status: Professor, Applied Computing Graduate Program,
Affiliation: University of Vale do Rio dos Sinos, Unisinos, Brazil.
E-mail contacts: jbarbosa@unisinos.br;
Google scholar link: https://scholar.google.co.in/citations?hl=hi&user=JSBL9uEAAAAJ
- Guest Editor (s):
Name: Dr. Mohammad Kamrul Hasan,
Status: Associate Professor in the Network and Communication Technology research cluster, Center for Cyber Security, Faculty of Information Science and Technology,
Affiliation: Universiti Kebangsaan Malaysia, Malaysia.
E-mail contacts: hasankamrul@ieee.org;
Google scholar link: https://scholar.google.com/citations?user=IAybniwAAAAJ&hl=en
- Guest Editor (s):
Name: Dr. Ashraf Samarah,
Status: Associate Professor, Electrical Engineering Department,
Affiliation: University of Cincinnati, Ohio, USA.
E-mail contacts: samaraaf@ucmail.uc.edu;
Google scholar link: https://scholar.google.com/citations?user=Ca96ZkwAAAAJ&hl=hi
https://researchdirectory.uc.edu/p/samaraaf
- Guest Editor (s):
Name: Dr. P. Preethi,
Status: Associate Professor, Department of Computer Science and Engineering,
Affiliation: Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India.
E-mail contacts: preethi1.infotech@gmail.com;
Google scholar link: https://scholar.google.com/citations?user=gmRjIAoAAAAJ&hl=en
AIMS AND SCOPE
In an era defined by rapid technological evolution and multidisciplinary convergence, the special issue titled “Integrating AI and Nanotechnology in Next-Generation Electrochemical Sensing Systems” addresses a critical and timely intersection of materials science, electrochemistry, and artificial intelligence (AI). This thematic compilation is dedicated to exploring the synergies between cutting-edge nanotechnologies and the transformative potential of intelligent computational systems in electrochemical sensing.
Electrochemical systems—including super capacitors, photo electrochemical interfaces, and biosensors—are at the forefront of innovation in energy storage, environmental monitoring, and biomedical diagnostics. Simultaneously, the integration of AI into these domains is reshaping data analysis, system optimization, and sensing mechanism improvement. From AI-enhanced signal processing in biosensors to AI-driven materials discovery for next-generation super capacitors, this confluence is advancing smart, adaptive electrochemical applications.
This special issue provides a platform for researchers, engineers, and domain experts to present novel methodologies, prototypes, and theoretical advancements bridging electrochemical nanoscience with AI technologies. Topics include AI-driven modeling of electrode materials, machine learning algorithms for photo electrochemical analysis, neural network-enhanced sensing frameworks, and smart diagnostics using biosensors. Furthermore, this issue emphasizes the practical implications of these technologies in real-world scenarios, offering insights into how intelligent systems can enhance the sensitivity, selectivity, and stability of electrochemical devices. It aims to inspire interdisciplinary dialogue, foster innovation, and catalyze the translation of lab-scale research into scalable, intelligent solutions.
Through this focused issue, the journal seeks to illuminate the emerging landscape where nanotechnology, electrochemistry, and AI converge—paving the way for intelligent, responsive, and sustainable technologies that meet the complex demands of modern science and industry.
LIST OF TOPICS
Topics of interest include, but are not limited to:
- AI-driven modelling and simulation of electrochemical systems.
- Nanomaterials for electrochemical sensors and biosensors.
- Machine learning algorithms for photo electrochemical and electrochemical analysis.
- Neural network-based optimization of electrochemical devices.
- AI-assisted discovery and design of advanced electrode materials.
- Smart diagnostics using electrochemical biosensors.
- Advanced signal processing techniques for electrochemical sensing.
- Integration of AI with nanomaterials for next-generation super capacitors and energy storage systems.
- Adaptive and self-healing electrochemical sensing systems.
- Real-time data analysis and predictive modelling in electrochemical applications.
- AI-enhanced sensing frameworks for environmental monitoring and pollution detection.
- Quantum computing applications in electrochemical nanoscience.
- AI-based real-time monitoring and control of electrochemical processes.
- Machine learning for enhancing the sensitivity, selectivity, and stability of electrochemical sensors.
- Smart electrochemical systems for personalized healthcare diagnostics.
- Interfacing AI with nanostructured materials for improved electrochemical performance.
- The role of AI in scaling electrochemical sensors for industrial applications.
- Nanotechnology-enabled AI-driven systems for sustainable energy applications.
Succinct keywords which reflect the key themes of the collection
- AI-Enhanced Sensing.
- Electrochemical Nanomaterials.
- Smart Diagnostics.
- Machine Learning Algorithms.
- Nanotechnology Integration.
- Energy Storage Systems.
INSTRUCTIONS TO AUTHORS ARE AT:
https://www.newmaterials.ca/instructions-for-authors/
Communications and send the manuscripts to: Dr. A. Bagwari:
ashishbagwari@gmail.com; ashishbagwari@ieee.org; ashishbagwari@wit.ac.in;
Or To: JNMES@polymtl.ca; Please add the special issue title on each document of correspondence including the manuscripts to be submitted.
The submitted manuscripts should not have been previously published, nor should they be currently under consideration for publication elsewhere.
Prospective authors are invited to submit their papers by following the instructions on the website of Journal of New Materials for Electrochemical Systems (JNMES):
IMPORTANT DATES
- Manuscript submissions due: 2026-06-30
- First round of reviews completed: 2025-08-31
- Revised manuscripts due: 2026-10-31
- Final manuscripts due: 2026-12-15