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20 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Cybersecurity, Intrusion Detection and Digital Security
To highlight the increasing role of machine learning in protecting digital infrastructures and information systems, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of top cited papers published in 2025 on AI-driven cybersecurity.
This collection covers intrusion detection, IoT security, Android malware classification, threat hunting, digital forgery detection, fingerprint presentation attack detection, and explainable intrusion detection.
The featured studies demonstrate how deep learning, transformer architectures, transfer learning, multimodal learning, and large language models are being increasingly integrated into cybersecurity systems. These works provide insights into the development of more adaptive, efficient, and intelligent approaches to detecting and responding to emerging digital threats.
1. “Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques”
by Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis and Nikolaos Pitropakis
Mach. Learn. Knowl. Extr. 2025, 7(2), 31; https://doi.org/10.3390/make7020031
Available online: https://www.mdpi.com/2504-4990/7/2/31
2. “Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement”
by Mantas Bacevicius, Agne Paulauskaite-Taraseviciene, Gintare Zokaityte, Lukas Kersys and Agne Moleikaityte
Mach. Learn. Knowl. Extr. 2025, 7(1), 21; https://doi.org/10.3390/make7010021
Available online: https://www.mdpi.com/2504-4990/7/1/21
3. “Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis”
by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli and Cristian Randieri
Mach. Learn. Knowl. Extr. 2025, 7(2), 54; https://doi.org/10.3390/make7020054
Available online: https://www.mdpi.com/2504-4990/7/2/54
4. “AI-Enabled IoT Intrusion Detection: Unified Conceptual Framework and Research Roadmap”
by Antonio Villafranca, Kyaw Min Thant, Igor Tasic and Maria-Dolores Cano
Mach. Learn. Knowl. Extr. 2025, 7(4), 115; https://doi.org/10.3390/make7040115
Available online: https://www.mdpi.com/2504-4990/7/4/115
5. “Multimodal Deep Learning for Android Malware Classification”
by James Arrowsmith, Teo Susnjak and Julian Jang-Jaccard
Mach. Learn. Knowl. Extr. 2025, 7(1), 23; https://doi.org/10.3390/make7010023
Available online: https://www.mdpi.com/2504-4990/7/1/23
6. “AE-DTNN: Autoencoder-Dense-Transformer Neural Network Model for Efficient Anomaly-Based Intrusion Detection Systems”
by Hesham Kamal and Maggie Mashaly
Mach. Learn. Knowl. Extr. 2025, 7(3), 78; https://doi.org/10.3390/make7030078
Available online: https://www.mdpi.com/2504-4990/7/3/78
7. “TL-Efficient-SE: A Transfer Learning-Based Attention-Enhanced Model for Fingerprint Liveness Detection Across Multi-Sensor Spoof Attacks”
by Archana Pallakonda, Rayappa David Amar Raj, Rama Muni Reddy Yanamala, Christian Napoli and Cristian Randieri
Mach. Learn. Knowl. Extr. 2025, 7(4), 113; https://doi.org/10.3390/make7040113
Available online: https://www.mdpi.com/2504-4990/7/4/113
20 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on AI in Healthcare and Medical Applications
To highlight the growing impact of artificial intelligence on healthcare and biomedical research, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of top cited papers published in 2025 on medical and healthcare AI.
This collection covers AI applications in intensive care, sepsis prediction, embryo selection, brain tumor classification, osteoarthritis progression, brain structure segmentation, cancer classification, and specialized healthcare language models.
The featured studies demonstrate how machine learning and deep learning are being applied across medical imaging, clinical prediction, biomedical data analysis, and healthcare decision support. These advances also highlight the importance of robust validation, multimodal data integration, interpretability, and domain-specific model development in medical AI.
1. “AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview”
by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas et al.
Mach. Learn. Knowl. Extr. 2025, 7(1), 6; https://doi.org/10.3390/make7010006
Available online: https://www.mdpi.com/2504-4990/7/1/6
2. “Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review”
by Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou et al.
Mach. Learn. Knowl. Extr. 2025, 7(2), 56; https://doi.org/10.3390/make7020056
Available online: https://www.mdpi.com/2504-4990/7/2/56
3. “Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification”
by Sofia El Amoury, Youssef Smili and Youssef Fakhri
Mach. Learn. Knowl. Extr. 2025, 7(2), 50; https://doi.org/10.3390/make7020050
Available online: https://www.mdpi.com/2504-4990/7/2/50
4. “A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression”
by John B. Theocharis, Christos G. Chadoulos and Andreas L. Symeonidis
Mach. Learn. Knowl. Extr. 2025, 7(2), 40; https://doi.org/10.3390/make7020040
Available online: https://www.mdpi.com/2504-4990/7/2/40
5. “A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1-and T2-Weighted MRI”
by Nicola Altini, Erica Lasaracina, Francesca Galeone, Michela Prunella, Vladimiro Suglia, Leonarda Carnimeo, Vito Triggiani, Daniele Ranieri, Gioacchino Brunetti and Vitoantonio Bevilacqua
Mach. Learn. Knowl. Extr. 2025, 7(3), 84; https://doi.org/10.3390/make7030084
Available online: https://www.mdpi.com/2504-4990/7/3/84
6. “Enhancing Cancer Classification from RNA Sequencing Data Using Deep Learning and Explainable AI”
by Haseeb Younis and Rosane Minghim
Mach. Learn. Knowl. Extr. 2025, 7(4), 114; https://doi.org/10.3390/make7040114
Available online: https://www.mdpi.com/2504-4990/7/4/114
7. “Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare”
by Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour and Raymond Ng
Mach. Learn. Knowl. Extr. 2025, 7(4), 121; https://doi.org/10.3390/make7040121
Available online: https://www.mdpi.com/2504-4990/7/4/121
8. “Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study”
by Hanna Borgli, Håkon Kvale Stensland and Pål Halvorsen
Mach. Learn. Knowl. Extr. 2025, 7(1), 22; https://doi.org/10.3390/make7010022
Available online: https://www.mdpi.com/2504-4990/7/1/22
17 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Large Language Models, Knowledge Graphs and Knowledge Extraction
To highlight the rapid evolution of large language models and knowledge-centric artificial intelligence, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of ten top cited papers published in 2025 on LLMs, knowledge graphs, and knowledge extraction.
This collection covers large language models, retrieval-augmented generation, domain-specific fine-tuning, knowledge graph engineering, natural-language-to-SPARQL generation, semantic analysis, automated knowledge extraction, question answering, and transformer-based language understanding.
The featured studies demonstrate an important shift from general-purpose language models toward knowledge-grounded, domain-specific, and structured AI systems. By connecting language models with knowledge graphs, scientific literature, technical documents, and specialized domains, these studies explore new ways of extracting, representing, reasoning over, and communicating knowledge.
1. “Knowledge Graphs and Their Reciprocal Relationship with Large Language Models”
by Ramandeep Singh Dehal, Mehak Sharma and Enayat Rajabi
Mach. Learn. Knowl. Extr. 2025, 7(2), 38; https://doi.org/10.3390/make7020038
Available online: https://www.mdpi.com/2504-4990/7/2/38
2. “Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems”
by Róbert Lakatos, Péter Pollner, András Hajdu and Tamás Joó
Mach. Learn. Knowl. Extr. 2025, 7(1), 15; https://doi.org/10.3390/make7010015
Available online: https://www.mdpi.com/2504-4990/7/1/15
3. “A Review of Large Language Models for Automated Test Case Generation”
by Arda Celik and Qusay H. Mahmoud
Mach. Learn. Knowl. Extr. 2025, 7(3), 97; https://doi.org/10.3390/make7030097
Available online: https://www.mdpi.com/2504-4990/7/3/97
4. “Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques”
by Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis and Nikolaos Pitropakis
Mach. Learn. Knowl. Extr. 2025, 7(2), 31; https://doi.org/10.3390/make7020031
Available online: https://www.mdpi.com/2504-4990/7/2/31
5. “PIDQA-Question Answering on Piping and Instrumentation Diagrams”
by Mohit Gupta, Chialing Wei, Thomas Czerniawski and Ricardo Eiris
Mach. Learn. Knowl. Extr. 2025, 7(2), 39; https://doi.org/10.3390/make7020039
Available online: https://www.mdpi.com/2504-4990/7/2/39
6. “Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships”
by Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma and Shin’ichi Konomi
Mach. Learn. Knowl. Extr. 2025, 7(3), 103; https://doi.org/10.3390/make7030103
Available online: https://www.mdpi.com/2504-4990/7/3/103
7. “Machine Learning-Based Semantic Analysis of Scientific Publications for Knowledge Extraction in Safety-Critical Domains”
by Pavlo Nosov, Oleksiy Melnyk, Mykola Malaksiano, Pavlo Mamenko, Dmytro Onyshko, Oleksij Fomin, Václav Píštěk and Pavel Kučera
Mach. Learn. Knowl. Extr. 2025, 7(4), 150; https://doi.org/10.3390/make7040150
Available online: https://www.mdpi.com/2504-4990/7/4/150
8. “Unsupervised Word Sense Disambiguation Using Transformer's Attention Mechanism”
by Radu Ion, Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea and Dan Tufiș
Mach. Learn. Knowl. Extr. 2025, 7(1), 10; https://doi.org/10.3390/make7010010
Available online: https://www.mdpi.com/2504-4990/7/1/10
9. “Context-Aware Few-Shot Learning SPARQL Query Generation from Natural Language on an Aviation Knowledge Graph”
by Ines-Virginia Hernandez-Camero, Eva Garcia-Lopez, Antonio Garcia-Cabot and Sergio Caro-Alvaro
Mach. Learn. Knowl. Extr. 2025, 7(2), 52; https://doi.org/10.3390/make7020052
Available online: https://www.mdpi.com/2504-4990/7/2/52
10. “Stitching History into Semantics: LLM-Supported Knowledge Graph Engineering for 19th-Century Greek Bookbinding”
by Dimitrios Doumanas, Efthalia Ntalouka, Costas Vassilakis, Manolis Wallace and Konstantinos Kotis
Mach. Learn. Knowl. Extr. 2025, 7(3), 59; https://doi.org/10.3390/make7030059
Available online: https://www.mdpi.com/2504-4990/7/3/59
11. “A Comparative Analysis of European Media Coverage of the Israel-Gaza War Using Hesitant Fuzzy Linguistic Term Sets”
by Walaa Abuasaker, Mónica Sánchez, Jennifer Nguyen, Nil Agell, Núria Agell and Francisco J. Ruiz
Mach. Learn. Knowl. Extr. 2025, 7(1), 8; https://doi.org/10.3390/make7010008
Available online: https://www.mdpi.com/2504-4990/7/1/8
17 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Explainable, Trustworthy and Responsible AI
To highlight the growing importance of transparent, interpretable, and responsible artificial intelligence, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of eight top cited papers on explainable and trustworthy AI published in 2025.
This collection covers explainable AI, model interpretability, feature selection, perturbation-based explanations, explainability method selection, responsible AI development, and human-centered evaluation. The featured studies investigate how machine learning systems can become more transparent, understandable, and accountable across applications including healthcare, cybersecurity, education, and energy forecasting.
Together, these studies reflect the growing recognition that high-performing AI systems should not only be accurate, but also interpretable, reliable, and aligned with human needs. We hope this selection provides insights into emerging approaches for the building of more transparent and responsible intelligent systems.
1. “Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models”
by Mohammad Ennab and Hamid Mcheick
Mach. Learn. Knowl. Extr. 2025, 7(1), 12; https://doi.org/10.3390/make7010012
Available online: https://www.mdpi.com/2504-4990/7/1/12
2. “A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review”
by Vahid Arabzadeh and Raphael Frank
Mach. Learn. Knowl. Extr. 2025, 7(4), 153; https://doi.org/10.3390/make7040153
Available online: https://www.mdpi.com/2504-4990/7/4/153
3. “A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods”
by Miroslava Matejová and Ján Paralič
Mach. Learn. Knowl. Extr. 2025, 7(4), 158; https://doi.org/10.3390/make7040158
Available online: https://www.mdpi.com/2504-4990/7/4/158
4. “Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation”
by Nicolas Douard, Ahmed Samet, George Giakos and Denis Cavallucci
Mach. Learn. Knowl. Extr. 2025, 7(1), 7; https://doi.org/10.3390/make7010007
Available online: https://www.mdpi.com/2504-4990/7/1/7
5. “Behind the Algorithm: International Insights into Data-Driven AI Model Development”
by Limor Ziv and Maayan Nakash
Mach. Learn. Knowl. Extr. 2025, 7(4), 122; https://doi.org/10.3390/make7040122
Available online: https://www.mdpi.com/2504-4990/7/4/122
6. “ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation”
by Vahid Khalkhali, Sayed Mehedi Azim and Iman Dehzangi
Mach. Learn. Knowl. Extr. 2025, 7(1), 19; https://doi.org/10.3390/make7010019
Available online: https://www.mdpi.com/2504-4990/7/1/19
7. “Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability”
by Georgios I. Liapis, Sophia Tsoka and Lazaros G. Papageorgiou
Mach. Learn. Knowl. Extr. 2025, 7(2), 33; https://doi.org/10.3390/make7020033
Available online: https://www.mdpi.com/2504-4990/7/2/33
8. “Automated Grading Through Contrastive Learning: A Gradient Analysis and Feature Ablation Approach”
by Mateo Sokač, Mario Fabijanić, Igor Mekterović and Leo Mršić
Mach. Learn. Knowl. Extr. 2025, 7(2), 41; https://doi.org/10.3390/make7020041
Available online: https://www.mdpi.com/2504-4990/7/2/41
6 August 2026
The 21st International Workshop on Smart Media Adaptation, AI and Personalization (SMAP 2026), 19–20 November 2026
The 21st International Workshop on Smart Media Adaptation, AI and Personalization (SMAP 2026) will take place in a hybrid format in Mystras, Greece, from 19 to 20 November 2026, with technical co-sponsorship by the IEEE Computational Intelligence Society (CIS).
SMAP 2026 brings together leading international researchers and professionals from the artificial intelligence, machine learning, semantic web, and social media communities. The event focuses on exploring state-of-the-art advances in smart media systems, user modeling, generative AI, and advanced content personalization.
Key dates:
Paper submission deadline (last call): 28 August 2026;
Notification of acceptance: 1 September 2026;
Camera-ready & early registration: 15 September 2026;
Workshop dates: 19–20 November 2026.
The workshop offers both in-person attendance in Mystras and a virtual MS Teams presentation option for remote participants.
5 August 2026
MDPI INSIGHTS: The CEO’s Letter #37 – Canada Summit, Sciforum Relaunch, 30 Years of Impactful Research & ISPRS 2026
Welcome to the MDPI Insights: The CEO's Letter.
In these monthly letters, I will showcase two key aspects of our work at MDPI: our commitment to empowering researchers and our determination to facilitating open scientific exchange.
Opening Thoughts

Reflections from the MDPI Canada Summit 2026 in Toronto (9–10 July)
As part of this year’s MDPI Summit events, we were delighted to host Editors-in-Chief (EiCs) and Editorial Board Members (EBMs) in Toronto for the MDPI Canada Summit 2026 this July.
Across the two days, we presented on topics including research integrity, editorial leadership, artificial intelligence, peer review, and the evolving role of the EiC. More importantly, the Summit created space for feedback and conversations with the academic community: these engagements continue play and important role in shaping how MDPI develops its journals and services.
Why Canada?
Canada has become one of the world’s leading Open Access (OA) nations. In 2025, 68% of Canadian research publications were published OA, with more than 73,000 OA articles produced during the year. Over the past five years alone, Canadian researchers have published more than 526,000 scholarly articles, showing both the scale and quality of Canadian research.
MDPI Toronto Office

“Canada has become one of the world’s leading Open Access nations”
Since opening in 2019, our Toronto office has grown to more than 85 colleagues supporting editorial operations, research integrity, marketing, societies, conferences, indexing, author services, and many other functions across North America. It was great to spend time with the team, see first-hand the energy and enthusiasm they bring to their work, and recognize the significant role they play in building relationships with the Canadian research community and delivering events such as this Summit.
MDPI and Canada
Today, Canada is an important part of the MDPI community:
- More than 53,800 articles from Canadian institutions published with MDPI since 1996
- More than 5,800 MDPI publications from Canadian researchers in 2025
- Nearly 1,900 Canadian Editorial Board Members, including 24 Editors-in-Chief; 49 Section Editors-in-Chief
- More than 30 Institutional Open Access Partnerships (IOAP) with universities across Canada

“The academic community is at the center of everything we do”
These numbers reflect the long-term partnerships with researchers, reviewers, editors, and institutions who continue to place their trust in MDPI.
Summit Program
Throughout the Summit, we presented and discussed topics against the following agenda:
- MDPI at 30: Introduction, Reflections and the Road Ahead – Stefan Tochev (CEO)
- Engagement with Academic Community and Society Partnerships – Karen Irwin (Associate Editorial Engagement Manager) and Carla Aloè (Head of Societies and Acquisition)
- Latest Developments in the Editorial Process – Summer Huggard (Operations Manager)
- Research Integrity and Publication Ethics – Renato Merki (Research Integrity Specialist)
- AI and Technology in Publishing – Dr. Barnaby Crook (Regional Engagement Editor)
- Panel Discussion – Bob Vrooman (Head of Business Development / Operations Manager, USA), Summer Huggard, Renato Merki, and myself

These presentations reinforce something we often say at MDPI: The academic community is at the center of everything we do. Each session concluded with a Q&A, allowing for discussions throughout the Summit to engage directly with our EiCs and EBMs.
Further Reading
I also had the opportunity to be interviewed by University Affairs about the evolving landscape of scholarly publishing, Open Access, and the importance of engaging with the research community. If you’re interested, you can read the interview in:
- English: University Affairs – MDPI Toronto Summit 2026: Bringing Together Leaders to Shape the Future of Scholarly Publishing
- Français: Affaires universitaires – Sommet MDPI de Toronto 2026
Thank You
As OA continues to grow around the world, events such as the MDPI Canada Summit remind us of the importance of meeting with our academic community in person. Listening to feedback, exchanging ideas, and building relationships are essential to ensuring that MDPI continues to evolve alongside the researchers, editors, reviewers, and institutions we serve.

Impactful Research

Five Journals, Five Different Stories of Success
Each year, the release of the Journal Citation Reports (JCR) provides an opportunity to look at the progress of our journal portfolio and, more importantly, the achievements of the research communities behind it.
A recent MDPI Blog article from Tommy Lax (Content Specialist, MDPI) highlights five journals whose 2025 Journal Impact Factor results show that success can take many forms – from achieving a first Impact Factor, to steady long-term growth, to leadership within highly competitive disciplines.
The featured journals include:
- Machine Learning & Knowledge Extraction (MAKE) – Among the 330 MDPI journals which received an Impact Factor in 2025, MAKE (ISSN 2504-4990) holds the accolade of having the highest rating of 8.4. The journal, which provides an advanced forum for the study of machine learning and its applications, is placed in Q1 for three subject categories: Computer science, artificial intelligence; Computer science, interdisciplinary applications; and Engineering, electrical & electronic.
- Antioxidants – Continuing its strong position across multiple scientific disciplines, Antioxidants (ISSN 2076-3921) was awarded an exceptional Impact Factor of 8.2. In addition, the journal was placed in Q1 in three subject categories: Biochemistry & molecular biology; Chemistry, medicinal; and Food science & technology.
- Biomass – This year, Biomass (ISSN 2673-8783) was recognized in the JCR for the first time, with a strong debut Impact Factor of 6.7. What makes this achievement even more impressive is the journal’s placement in Q1 of the category Engineering, chemical.
- Analytica – Remaining with the theme of growth, Analytica (ISSN 2673-4532), which provides an advanced forum for all aspects of fundamental and applied analytical chemistry, recorded one of the largest year-on-year increases in Journal Impact Factor, with a 7.4 – an astounding 3.8-point increase from its 2024 rating of 3.6.
- Batteries – Indexed in SCIE, Batteries (ISSN 2313-0105) received an updated Impact Factor of 6.3 this year, representing an increase of 1.5 versus last year, demonstrating consistent growth and increasing visibility over several years.
While citation metrics provide one perspective on journal performance, they tell only part of the story. Every milestone reflects the dedication of Editors-in-Chief, Editorial Board Members, reviewers, authors, and colleagues across MDPI who work together to uphold rigorous editorial standards and support high-quality research.
As a signatory of the Declaration on Research Assessment (DORA), MDPI supports a balanced approach to research evaluation. Journal-level metrics should be viewed alongside article-level indicators and the broader scientific and societal impact of published research.
Thank you to everyone whose commitment continues to strengthen our journals and advance Open Access across the global research community.
Inside MDPI

Building Better Tools for the Research Community: The Relaunch of Sciforum
Innovation at MDPI extends beyond journals. Over the past decade, we have continued to invest in products that support researchers, conference organizers, editors, reviewers, and institutions throughout the research lifecycle. As part of this ongoing investment, our Product and Engineering teams have been modernizing several of MDPI’s digital platforms. One important milestone in that journey is the relaunch of Sciforum, our conference management platform.
Read More: Sciforum Relaunch: Empowering Science through Seamless Event Management
Rather than simply updating an existing system, our product and engineering teams have rebuilt Sciforum, using a modern architecture designed to improve the user experience, support future growth, and continue to strengthen our position in the conference management market.
“Scalable technology is essential to delivering a high-quality experience”
Why We Rebuilt Sciforum
Technology must continue evolving alongside the needs of our users. The previous platform had served MDPI well for many years but had become difficult to extend and maintain. The new platform introduces a modular architecture that enables faster development, more flexibility, and a scalable foundation for future work.
Major improvements include:
- Simplified submission workflows
- Role-based dashboards
- A modern website builder
- Flexible pricing options
- Permanent data hosting
- A scalable architecture for future development

Supporting Our Conference Community
Sciforum is more than a software platform: it supports researchers, conference organizers, reviewers, speakers, and attendees by helping them organize, participate in, and share scientific meetings more efficiently. As MDPI continues to expand its conference activities worldwide, investing in modern, scalable technology is essential to delivering a high-quality experience for both our external partners and our internal teams.
Looking Ahead
The relaunch represents the beginning Sciforum’s next chapter. Planned improvements include: the Program Builder, Communication Hub, expanded payment options, Zoom integration, and a mobile application. These will continue to enhance the platform over the coming months.
Coming Together for Science

Highlights from ISPRS Congress 2026 – Toronto, Canada
In early July, I had the pleasure of attending the XXV ISPRS Congress in Toronto, one of the world’s leading gatherings for the geospatial and remote sensing research community. It was a great opportunity to meet researchers, editors, society leaders, and collaborators, while gaining insights into some of the latest developments in geospatial science and technology.
Over several days, I had the privilege of presenting the Jack Dangermond Award; speaking about MDPI’s approach to AI in publishing and our 30-year journey in Open Access publishing; participating in Editorial Board meetings; and engaging with members of the ISPRS community.
Below is a summary of these activities:
Celebrating excellence in research
One of the highlights of the week was presenting the Jack Dangermond Award for the best paper published in the ISPRS International Journal of Geo-Information (IJGI). Sponsored by MDPI and ESRI, the award recognizes an outstanding paper published over a four-year period and includes an ISPRS certificate together with a USD 10,000 prize.

Awards such as these remind us that journals are much more than publication platforms: they celebrate research that advances knowledge, inspires future work, and delivers meaningful impact for both science and society.
Presentations at ISPRS
I also had the pleasure to give two presentations during the congress:

1. The AI Revolution in Publishing: Challenges, Innovations, and MDPI’s Vision
The development of AI continues to transform scholarly publishing. During this session, I shared how MDPI is integrating AI responsibly, not to replace editorial judgement or peer review, but to support our staff by improving efficiency while maintaining scientific quality and research integrity.
2. MDPI: 30 Years of Open Access Publishing
I also had the opportunity to share MDP’s 30-year journey from a small publishing initiative to becoming a global Open Access publisher serving millions of researchers worldwide. As part of this session, my colleague Carla Aloè (Head of Societies and Acquisitions) introduced the ISPRS International Journal of Geo-Information (IJGI), sharing its development and contribution to the geospatial research community.

Meeting with Our Editorial Boards
Another rewarding aspect of the congress was meeting with the Editorial Boards of two of our journals:
- Remote Sensing
- ISPRS International Journal of Geo-Information
These discussions went beyond journal metrics. We heard ideas about editorial quality and emerging research areas, and we discussed reviewer engagement, diversity within editorial boards, and how journals can continue serving their communities for the future. These conversations are a great way to connect directly to the scientists who help shape our journals.


“One of our core missions has always been to make high-quality research openly accessible”
Partnerships matter
Scientific publishing is built on collaboration. Throughout the congress, our team welcomed researchers to the MDPI booth, met with authors and editors, and discussed opportunities for collaboration across our journals and society partnerships.
Special thanks to our MDPI colleagues who were present throughout the ISPRS congress supporting our Editorial Board meetings and the MDPI booth: Andy Tran, Carla Aloè, Carlo Cunanan, Diana Ribeiro Tosato, and Elena Duan.

Thank you to ISPRS for organizing this congress, to the researchers who shared their work, to our Editorial Board members, and to MDPI colleagues whose dedication continues to shape the journals and communities we support.
Closing Thoughts

Insights Into 30 Years of Impactful MDPI Research
As we celebrate 30 years of MDPI, it’s worth reflecting on the impact that the research we publish has on society. One of our core missions has always been to make high-quality research openly accessible so that it can inform new discoveries, public policy, education and innovation around the world.
A recent article on the MDPI Blog highlights several examples of MDPI publications that have gone beyond academic citations to help inform governments, international organizations and public policy discussions.
Research Creating Real-World Impact
The MDPI blog article features research that has contributed to topics including:
- protecting the Amazon rainforest through satellite mapping
- understanding climate change and urban heat inequality
- encouraging more young women to pursue STEM careers
- tackling obesity through healthier food environments
- shaping sustainable urban planning through the “15-minute city” concept
These examples remind us that publishing research is not only about producing articles: it is about helping knowledge reach the people who can use it to improve lives and address global challenges.
Thirty Years of Open Access
MDPI’s 30th Anniversary is also an opportunity to recognize the collective contribution of everyone across MDPI. Every manuscript processed, every review coordinated, every system developed, every conference organized, every partnership established and every article published contributes to a much larger purpose: helping scientific knowledge move further and faster.
You can explore the full article here: 30 Years of Impactful MDPI Research
You can also visit our 30th Anniversary page to learn more about MDPI’s journey over the past three decades.
Chief Executive Officer
MDPI AG
4 August 2026
Meet Us at ECML PKDD 2026, 7–11 September 2026, Naples, Italy
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) is the flagship European machine learning and data mining conference, attracting a worldwide audience. The conference program includes presentations of peer-reviewed research, invited talks by leaders in the field, a wide program of workshops and tutorials, poster sessions, a discovery challenge, a demo track, an applied data science track, an industry track and a PhD forum.
Topics include the following:
- Advances in machine learning theory and algorithms, including deep learning, probabilistic modeling, and reinforcement learning;
- Knowledge discovery and data mining methodologies, covering pattern mining, graph analytics, and large-scale data processing;
- Trustworthy and responsible AI, with emphasis on fairness, interpretability, privacy, and robustness;
- Applied data science and domain-driven discovery, featuring real-world case studies in industry, health, sustainability, and the physical sciences;
- Emerging frontiers, such as foundation models, generative AI, multi-modal learning, and automated machine learning (AutoML).
MDPI will be attending the conference as an exhibitor; we welcome researchers from different backgrounds to visit and share their latest ideas with us.
The following MDPI journals will be represented:
- Data;
- MAKE;
- AI;
- Analytics;
- Remote Sensing;
- BDCC;
- Information;
- Computers;
- Knowledge;
- Future Internet;
- Technologies;
- JCP;
- Algorithms;
- Digital.
If you are planning to attend the above conference, we encourage you to visit our booth and speak to our representatives. We are eager to meet you in person and assist you with any queries that you may have. For more information about the conference, please visit the official website at https://ecmlpkdd.org/2026/.
8 July 2026
MDPI’s Newly Launched Journals in June 2026
Our portfolio of journals available for publishing up-to-date research in immediate open access format has been further expanded. In June 2026, eleven new journals released their inaugural issues and two transferred journals released their first issue as part of MDPI, covering the subjects of environmental & earth sciences, chemistry & materials science, public health & healthcare, engineering, medicine & pharmacology, and biology & life sciences.
We extend our gratitude to the Editors-in-Chief, Associate Editors, and Editorial Board Members who will shape the future course of these new journals. Each journal is dedicated to upholding strong editorial standards through a thorough peer review process, enabling impactful open access scholarship.
Please feel free to browse and discover more about the new journals below.
|
New Journals |
Founding Editor(s)-in-Chief |
Journal Topics (Selected) |
|
|
Prof. Dr. Xiaochuan Pan, Peking University, China |
public health research, practice, policy, and education; eco-health equity | |
|
|
Prof. Dr. Xin-Gao Gong Fudan University, China; Prof. Dr. Zhimei Sun Beihang University, China |
AI-enhanced theory & simulation; generative design & discovery; autonomous experimentation; AI for characterization; large language models and agents | |
|
|
Prof. Dr. Yong Liu, Wuhan University, China |
hydropower technology; renewable energy; water resources; optimization; rock and soil mechanics; power system stability | |
|
|
Prof. Dr. Giovanni Rezza, University Vita-Salute San Raffaele, Italy |
pandemic preparedness; public health; global outbreak dynamics and epidemiology; outbreak prediction and risk forecasting; one health approach; zoonotic and pre-pandemic vaccines | |
|
|
Prof. Dr. Brian Horton, University of Texas at Austin, USA |
stratigraphy; sedimentology; earth surface processes; basin evolution and tectonics; climate and paleoclimate | |
|
|
Prof. Dr. Yike Guo, Hong Kong University of Science and Technology, China |
artificial intelligence (AI); application of AI to engineering; Explainable AI (XAI); AI-driven design and optimization; AI for manufacturing and automation | view journal scope | submit an article |
|
|
Prof. Dr. Hei Wong, City University of Hong Kong, China |
novel semiconductor materials; advanced heterogeneous integration technologies; advanced characterization and testing techniques; heterogeneously integrated systems and applications; modeling and design automation| |
|
|
Prof. Dr. Michail Panagiotidis, Mississippi State University, USA |
plant-based medicines; natural products-based drug discovery; plant-based bioactive compounds; pharmacognosy; phytochemicals; pharmacokinetics | |
|
|
Prof. Dr. Khalid Meksem, Southern Illinois University, USA |
genome biotechnology; applied genomics; genetic engineering; agricultural biotechnology; medical biotechnology; data science and AI| |
|
|
Dr. Chenxi Wu, Chinese Academy of Sciences, China |
environmental cleanup; ecological restoration; environmental management and governance; environmental modeling and monitoring | |
|
|
Prof. Dr. Janusz Kozinski, Lakehead University, Canada |
renewable energy; sustainable agriculture; green innovation; climate change; artificial intelligence and environmental sustainability | |
|
Transferred Journals |
Editor(s)-in-Chief |
Journal Topics (Selected) |
|
|
Prof. Dr. Thomas Frese, Martin-Universität Halle-Wittenberg, Germany |
health services in primary care; integrated care models; quality and safety of care; coordination across primary and secondary care services; patient management; primary care clinical practice and interventions; clinical interventions delivered in primary care settings; |
|
|
Prof. Dr. Paul Gerson Unschuld, Geneva University Hospitals (HUG), Switzerland |
neurology, psychiatry, psychotherapy, and the neurosciences | |
We would like to thank everyone who has supported the development of open access publishing. If you would like to create a new journal, you are welcome to send an application here or contact the New Journal Committee (newjournal-committee@mdpi.com).
8 July 2026
Honoring the Top 1000 Reviewers for 2025
Peer review is the invisible foundation of academic progress. The 2025 MDPI Top Reviewers are some of the key experts who helped build it.
We are honored to recognize 1000 individuals from our global community of 210,000 reviewers across 67 countries and territories—chosen for their commitment to rigorous, constructive peer review and the consistency of their contributions throughout 2025.
The Top Reviewers provided constructive and impartial feedback that makes research stronger and more impactful, and we are grateful for it.
The names of these reviewers are listed below in alphabetical order by first name:
|
A. N. M. Mamun-Or-Rashid |
Han Wu |
Nijia Qian |
|
Abdallah Galal |
Hani Nasser Abdelhamid |
Nikola Petrović |
|
Abdeljabbar Ghanmi |
Hanstter Rezende |
Nina Mendez-Dominguez |
|
Abdelmalek Bellal |
Han-Tsung Wang |
Nora Ahmed |
|
Abdelnasser Abidli |
Hao Tang |
Nurcan Kilinc-Ata |
|
Abderrahim Ayad |
Haodong Chen |
Oğuzhan Çetindemir |
|
Abdulkadir Atalan |
Haoxuan Dong |
Oksana Kovtun |
|
Abid Ullah |
Hassan Barakat |
Oluwagbemiga Paul Agboola |
|
Adeney De Freitas Bueno |
Hassan Harb |
Omar Alsetoohy |
|
Agnieszka Synowiec |
Hebat-Allah Sarhan Tohamy |
Ömer Kaya |
|
Agnishwar Girigoswami |
Héctor Mora-Montes |
Omneya Attallah |
|
Agustín Ariño |
Hengkai Li |
Orestis M. Ioannidis |
|
Ahmadjan Muhammadhaji |
Hengrui Liu |
Oscar Arias-Carrion |
|
Ahmadreza Mohebbi |
Hiroshi Matsuyama |
Osmar Antonio Jaramillo Morales |
|
Ahmed Gad |
Ho Namgung |
Palash Mandal |
|
Ahmed Ghezal |
HoangNam Tran |
Panayiotis Iliakis |
|
Ahmed Mohamed Nabil Helaly |
Hongfen Zhu |
Pargam Vashishtha |
|
Ahmed Saad Rashed |
Hongzhi Shen |
Parisa Kaviani |
|
Ahmet İhsan Turan |
Hossein Lotfi |
Patrycja Kleczkowska |
|
Aidin Bordbar-Khiabani |
Huajin Li |
Paula Pinto |
|
Alain Manuel Chaple Gil |
Huayue Chen |
Paulius Skačkauskas |
|
Alan Gasiński |
Hui Lu |
Paulo Cezar Bastianello Campagnol |
|
Albena Doicheva |
Huseyin Cetin |
Pavel Kic |
|
Alberto Gallegos |
Hyeong-Geun Kim |
Pavlo Maruschak |
|
Alejandro Cano-Villagrasa |
Hyoungchul Shin |
Paweł Ciężkowski |
|
Aleksandr Bobrovskikh |
Ibrahim Mohamed |
Paweł Rydzewski |
|
Aleksandra Figurek |
Ibrahim Mosly |
Pedro Valdivia-Moral |
|
Aleksandra Jovanović |
Ibtissam Bakkouri |
Peng Chen |
|
Aleksandra Rybak |
Igor Schepetkin |
Pengle Cheng |
|
Alessandro Poggi |
Ilias Lazos |
Philippe Colomban |
|
Alessio Castagnoli |
Imen Barraj |
Pier Nicola Sergi |
|
Alexandre Pimenta |
Imran Ali |
Ping Zhu |
|
Alexey Andreychev |
Imtiaz Ahmad |
Piotr Legutko |
|
Alexey Beskopylny |
Ioannis A. Giantsis |
Piotr Lichota |
|
Alexis Murillo Carrasco |
Ioannis Vardiambasis |
Poya Sohrabi |
|
Alfredo Teixeira |
Irina Georgescu |
Pradeep Kumar Yadav |
|
Ali Abd El-Aty |
Isaac Adejumo |
Prashant Singh |
|
Ali Alshebami |
Isabel Legaz |
Prithviraj Nandigrami |
|
Ali Ercetin |
Isabel Maldonado |
Przemysław Podulka |
|
Ali Kandil |
Isabel Marques |
Qiang Peng |
|
Alireza Shoari |
Itamar Luís Gonçalves |
Qiang Yao |
|
Alok Tiwari |
Ivan Laktionov |
Qiaochu Li |
|
Aman Muhammad |
Ivan Šoša |
Qichang An |
|
Amgad Fahmy |
Ivan V. Semenyuta |
Qingqing Sun |
|
Amira Mohamed Idrees |
Izabela Zakrocka |
Rabii El Maani |
|
Amr Mohamed |
Jae Hwan Lee |
Radosław Balwierz |
|
Amroune Salah |
Jakub Ciazela |
Rafat Ghanamah |
|
Anastasia Ivanova |
Jale Minibas-Poussard |
Rajaram Rajamohan |
|
Anastasios Koulaouzidis |
Jamal Ayour |
Rajendra Rohokale |
|
Anatoli Popov |
James A. Bunce |
Raluca Isac |
|
András Molnár |
Janvier Habumugisha |
Raluca Mureşan |
|
André Luiz Missio |
Jarogniew Łuszczki |
Ramalingam Manikandan |
|
André Pinto |
Jasna Čanadanović Brunet |
Rashad EL-Sagheer |
|
André Rolim Baby |
Jean-Louis Pinault |
Rashid Dallaev |
|
Andres Camargo-Sanchez |
Jelena Petrović |
Ravish Patel |
|
Andrew Perry |
Jesús Bernardo Páez-Lerma |
Rehan Jamil |
|
Andrey Kuskov |
Jesus Jaquez-Muñoz |
Renzo Pepe-Victoriano |
|
Andrey Zamyatnin |
Jia Wang |
Ricardo Hernández-Martínez |
|
Andrii Velychkovych |
Jia Wen Li |
Ricardo Luiz Fernandes Bella |
|
Angeliki Papalou |
Jia-Bin Wu |
Ricardo Raimundo |
|
Anita Sejben |
Jianfeng Chen |
Rina Zviel-Girshin |
|
Anja Terzić |
Jiangmin Ding |
Ritthideach Yorsaeng |
|
Anna Kamenskikh |
Jiangxiong Zhu |
Robinson J. Herrera-Feijoo |
|
Anna Maria Kot |
Jiangyu Zhu |
Rocco Ditommaso |
|
Antanas Laurincikas |
Jianhua Ren |
Rocco Vitis |
|
Anton Tkachenko |
Jianjian Zheng |
Rodrigo Valenzuela |
|
António Miguel Monteiro |
Jianzhao Qi |
Roman Dmytryshyn |
|
António Portelada |
Jiazhen Zhang |
Roman Parovik |
|
Antonios Christou |
Jifu Li |
Ronit Sionov |
|
Antreas Kantaros |
Jingcai Zhang |
Ruben Rodríguez Elizalde |
|
Arash Kardani |
Joanna Kosałka-Węgiel |
Ružica R. Nikolić |
|
Arash Shams Taleghani |
João Carlos Caetano Simões |
Sadegh Ghaderi |
|
Armand Faganel |
Jonathan Soldera |
Salih Özer |
|
Artem Perepelitsyn |
Jongbeom Lim |
Saliha Karadayi-Usta |
|
Ashraf Ali |
Joon Hyuk Choi |
Salvatore Falanga Bolognesi |
|
Asif Ali Haider |
Jorge L. Mejía-Méndez |
Salvatore Simone |
|
Atila Kumbasaroglu |
José Ascención Martínez Álvarez |
Sandeep Kumar Chamoli |
|
Aurel Burciu |
José Antonio Suarez-Navarro |
Sandra Pascual-García |
|
Aynur Aliyeva |
José Carlos Vázquez-Parra |
Sanjin Kovacevic |
|
Ayushman Ramola |
Jose Lavres Junior |
Santiago Juan-Navarro |
|
Azizollah Khormali |
José Leija-Martínez |
Santosh Reddy Addula |
|
Baishu Guo |
José Luis Aguirre-Noyola |
Saravanan Ramasamy |
|
Baoqiang Liu |
José Ramiro Fernandes |
Sasa Radoslav Bubanj |
|
Bartłomiej Zieniuk |
José Rodrigues |
Saurabh Agarwal |
|
Bartosz Kruszewski |
Josef Yayan |
Sayed Saber |
|
Beata Dedicova |
Juan Gabriel Avina-Cervantes |
Sebastian Schnaubelt |
|
Behnam Mobaraki |
Juan Sebastián Fernández-Prados |
Sergei G. Gaidin |
|
Ben Ingram |
Juan Vielma-Perez |
Sergii Sagin |
|
Bernardo Tutikian |
Jui-Hsiang Lee |
Serife Balikci |
|
Bhupinder Kumar |
Junhe Yu |
Seweryn Lipiński |
|
Biao Luo |
Jun-Sheng Zhang |
Shadfar Davoodi |
|
Bin Wang |
Justin Nnaemeka Onyeukaziri |
Shamsaldeen Ibrahim Saeed |
|
Bin Yan |
K. S. Anandh |
Shanmugam Vignesh |
|
Binfeng Yin |
Kaibing Zhou |
Shaohua Lei |
|
Bing He |
Kakarla Ramakrishna |
Sheng Chang |
|
Bingnan Guo |
Kamil Henryk Nelke |
Shengqun Deng |
|
Bingzhe Zhang |
Kamran Shah |
Shigeru Kanemitsu |
|
Bishal Baniya |
Karina Teixeira Magalhães-Guedes |
Shijun Pan |
|
Bojan Stojanovic |
Karol Chilmon |
Shiquan Wang |
|
Bojana S. Stojanovic |
Karthik Kannan |
Shiva Shankar Reddy |
|
Bojana Vidovic |
Kasireddy Sudarshan |
Shuai Yuan |
|
Bozena Gajdzik |
Katarzyna Mądra-Gackowska |
Shun Yao |
|
Byoungwook Ahn |
Kavipriya Thangavel |
Shuo Liu |
|
Caio Santos Bonilha |
Keith Watts |
Siham Bakkouri |
|
Carlos Cerdán Santacruz |
Kelcie Slaton |
Silviu Beciu |
|
Carlos Marcuello Anglés |
Kesavan Nair |
Simone Galano |
|
Carolin Hannusch |
Ketan M. Ranch |
Simone Treccarichi |
|
Catalin Bulai |
Khrystyna Lipianina-Honcharenko |
Sina Sarfarazi |
|
Cátia Sousa |
Khursheed Ahmad |
Sinan Chen |
|
Changning Liu |
Kinga Korniejenko |
Sing-Chung Li |
|
Chanin Khomlaem |
Kiwon Lee |
Sivakumar Jeyarajan |
|
Chao Fu |
Konrad Szychowski |
Slađana Popović |
|
Chao Zheng |
Konstantin Alexandrovich Rybakov |
Slavica Miladinovic |
|
Chen Kim Lim |
Konstantinos Arsenopoulos |
Slobodanka Galovic |
|
Cheng Fang |
Koulla Parpa |
Sofoklis Stavros |
|
Cheng Li |
Kun Yang |
Somya Agrawal |
|
Chengling Lu |
Kuo-Chien Liao |
Song Yu |
|
Chenkang Liu |
Lambert Zixin Li |
Sotomi Ishihara |
|
Chigozie Andy Ngwaba |
László Orlóci |
Stanisław Pietrzyk |
|
Chih-Wei Zeng |
Laura Diaconu Maxim |
Stefanos Kourtis |
|
Chin-Feng Lin |
Laxman Subedi |
Stepan Dzhimak |
|
Ching-Ta Lu |
Leilei Wei |
Sudarshan Singh |
|
Chunxiao Li |
Leonidas Trakolis |
Suhan Zhang |
|
Corina Aurelia Zugravu |
Liang Zheng |
Süleyman Çınar Çağan |
|
Costel Plescan |
Lijana Maskeliūnaitė |
Swati Dahariya |
|
Cristian Ciobanescu |
Liliya Demidova |
Syed Asad Ali Zaidi |
|
Cristina Dumitru |
Lorena Del Carmen Espina Romero |
Szymon Suwała |
|
Dajun Liu |
Lorentz Jäntschi |
Tae Young Ko |
|
Dan Valeriu Voinea |
Luca Giacomelli |
Tao Ni |
|
Daniel Badulescu |
Luciana Rotaru |
Tarek Berghout |
|
Daniel Miron Brie |
Luis Miguel Pires |
Tatiana Fedotcheva |
|
Daniel Piotr Potaczek |
Luis O. Viteri Jumbo |
Tatiana V. Vygodina |
|
Daniel Sanin-Villa |
Lvyang Ye |
Tetsuya Tanioka |
|
Danijela Smiljanic |
Maconi Teixeira |
Theoharis Babanatsas |
|
David Michel De Oliveira |
Madina Isametova |
Thomas Roule |
|
Daxin Dong |
Magdalena Pietrzak |
Tiago Lima De Albuquerque |
|
Dejan Ćirin |
Mahendra Kumar Samal |
Tiziana Maria Sirangelo |
|
Dejan Vasovic |
Mahmoud Owais |
Tomáš Toporcer |
|
Deju Zhang |
Maja Hitl |
Tomasz Koczorowski |
|
Denis Stanescu |
Maksim Iavich |
Tomyslav Sledevič |
|
Derya Arslan |
Małgorzata Rataj |
Tudor Sorin Pop |
|
Di Tian |
Manal Fawzy |
Tuğba Kuru Çolak |
|
Dignesh Khunt |
Mansoor-Ali Vaali-Mohammed |
Tuo Zeng |
|
Dikshat Gupta |
Manuel De La Sen |
Tzu-Hurng Cheng |
|
Dimitrios Doukas |
Manuel Saba |
Vahdettin Demir |
|
Dimitrios Fanourakis |
Manuele Cesare |
Valdivino Domingos de Oliveira Júnior |
|
Dina Khoudaer |
Marcelo Kaminski Lenzi |
Vanessa Bergamin Boralli |
|
Dmitriy Tverdyi |
Marcia Bastos Convento |
Vasile Razvan Filimon |
|
Dmitry Erokhin |
Márcio Vargas-Ramella |
Vasileios Greveniotis |
|
Domenico Rosa |
Marco Cavaco |
Vasily Lubashevskiy |
|
Dominika Gajdosikova |
Marco Eigenfeld |
Vasudeva Reddy Netala |
|
Dominika Guzek |
Marco Fogante |
Vesselin Gueorguiev |
|
Dong Wook Shin |
Marco Vincenzo Valente |
Vicente Borja Jaimes |
|
Dong Zhao |
Marcos Antonio Japiassu Resende Montes |
Vicente González-Prida |
|
Donghyun Lee |
Marcus Goncalves |
Victor Abiola Adepoju |
|
Dongwang Wu |
Marek Wozniak |
Vidyasrilekha Sanapalli |
|
Dongzhao Jin |
María Guadalupe Frías-De-León |
Vikas Mehta |
|
Douglas Watts |
Maria Pia Di Palo |
Vilmar Steffen |
|
Dragana Filipovic |
Marian Palcut |
Vincenzo Mirco La Fazia |
|
Duc Hung Pham |
Marianna Olivadese |
Vincezo Cuteri |
|
Dulani Meedeniya |
Marielena Saivish |
Virginia-Maria Rădulescu |
|
Dumitru Toader |
Marija R. Popović-Nikolić |
Vlad Stoian |
|
Dursun Zafer Seker |
Marina Konuhova |
Walaa Salah |
|
Eber Quintana-Obregón |
Marino Paroli |
Walter R. Schumm |
|
Eduarda Vieira |
Marios Christodoulou |
Wang Chun Kwok |
|
Eduardo Alvarez-Duarte |
Mariusz Bialecki |
Weber Da Silva Robazza |
|
Eduardo Fernandes |
Marko Bašković |
Wei Ling |
|
Edwin M. Pino-Vargas |
Marko Slavković |
Wei-Biao Liao |
|
Efraín Villamor Herrero |
Massimo Pacella |
Weichen Zhan |
|
Ehab Ali |
Matteo Angelo Fabris |
Weiwei Han |
|
Ehab AlShamaileh |
Matteo Conti |
Welson Bassi |
|
Ehsan Hosseini |
Matteo Pellegrini |
Wen Chen |
|
Ekaterina Lesovaya |
Maurizio Sabbatini |
Wiktor Stopyra |
|
Elcio Ferreira Dos Santos |
Maxim Polyakov |
Wilhelm Londono |
|
Elena Tchetina |
Mazen Al-Kheetan |
Wilhelm Mistiaen |
|
Elina Margarida Ribeiro Marinho |
Mehmet Das |
William Aperador |
|
Elnaz Amirahmadi |
Mehmet Palanci |
Wojciech Niemczyk |
|
Eloy Conde |
Melissa Anne Beryl Vogt |
Xiang Lei |
|
Elvira Rozhina |
Menaouar Berrehil El Kattel |
Xiang Zhang |
|
Emad A. Az-Zo'bi |
Meng Zhang |
Xiangchen Meng |
|
Emmanouil Georgios C. Tzanakakis |
Michael Halim |
Xiao Jian Tan |
|
En Lu |
Michal Stosiak |
Xiaohai Zheng |
|
Enrique Cervantes Pérez |
Michał Zarobkiewicz |
Xiaokang Ma |
|
Eqram Rahman |
Michele Paolantonio |
Xiaoxi Hu |
|
Erand Llanaj |
Mika Merviö |
Xin Li |
|
Eungi Kim |
Mikhail Akimov |
Xin Yang |
|
Evangelos Tsiaras |
Mikhail Arbatsky |
Xin Zhang (Henan Institute of Science and Technology) |
|
Fabio Massimo Oddi |
Mikhail Statkus |
Xin Zhang (Tianjin Normal University) |
|
Fahad Al Basir |
Milan Lal |
Xinfa Tang |
|
Faïçal Brini |
Milica Dimitrijevic Stojanovic |
Xinxin Zhao |
|
Fanglei Zhong |
Miłosz Huber |
Xinyan Peng |
|
Faseeulla Mohammad |
Ming Wu |
Xu Li |
|
Fayyaz Qureshi |
Minh Tam Schlosky |
Yang Shen |
|
Fazlurrahman Khan |
Mira Chitt |
Yanlin Shi |
|
Federico Minelli |
Mirela Jimborean |
Yanlong Ji |
|
Fei Han |
Mirela Lučan Čolić |
Yasir Rasool |
|
Fei Yu |
Miriam González-Afonso |
Yaxsier De Armas |
|
Fekete Mónika |
Mirjana Ocokoljić |
Yew Hoong Wong |
|
Fengwei Wang |
Miroslava Rakocevic |
Yile Chen |
|
Fernando França Cunha |
Mohamed A. Hassan |
Yinbo Gan |
|
Fernando Marson |
Mohamed Ibrahem Elhawy |
Yinghao Shan |
|
Fernando Monroy |
Mohamed-Amine Babay |
Yixin He |
|
Filipe Pereira |
Mohammad Aldossary |
Yong Zhang |
|
Flaviu Mihai Frigură-Iliasa |
Mohammad Ali Arjomand |
Yonggang Kim |
|
Florian Pape |
Mohammad Mofatteh |
Yoshiro Horai |
|
Florin Oancea |
Mohammad Nurul Matin |
Younho Han |
|
Francesco Cali |
Mohammad Younis Hajeer |
Youqiang Zhang |
|
Francesco Gagliardi |
Mohammed Abdulrasak |
Yuan Chen |
|
Francisco Delgado |
Mohammed Alnaim |
Yuanjie Deng |
|
Francisco E. M. Silveira |
Mohammed M. Gomaa |
Yuchen Wang |
|
Francisco Guillen-Grima |
Mohd Ismail Ibrahim |
Yue Cheng |
|
Francisco Rafael Trejo-Macotela |
Mohd Usman Mohd Junaidi |
Yue Ma |
|
Fredrick N. Eze |
Moisés Tolentino Bento Da Silva |
Yue Tan |
|
Fredy Hoyos Velasco |
Monika Michalska |
Yufei Gao |
|
Fuhaid Alshammari |
Mostafa Shooshtari |
Yunchao Tang |
|
Gabriel Marín Díaz |
Mothana Mustafa Gasaymeh |
Yuniel Méndez-Martínez |
|
Gabriel Sperandio Milan |
Mubarak A. Alanazi |
Yuri Tokarev |
|
Gabriela Ignat |
Mudasir Younis |
Yurii Syromyatnikov |
|
Gamal Ebrahim |
Muhammad A. Butt |
Yury V. Ilyushin |
|
Gang Hui |
Muhammad Jamil |
Yuyan Pan |
|
Gaydaa Al-Zohbi |
Muhammad Munir |
Zbigniew Raszewski |
|
George Karabatsos |
Muhammad Waseem |
Zbigniew Waśkiewicz |
|
Gerardo Fuentes-Vilugrón |
Muntean Calin |
Zeashan Khan |
|
Gerasimos Pagiatakis |
Murat Demiral |
Zeesham Abbas |
|
Giovani Telli |
Mussa Makran |
Zhao Li |
|
Gleb Zaitsev |
Mustafa Bora |
Zhen Zhang |
|
Golap Kalita |
Mustafa Zeybek |
Zheng Lu |
|
Gonzalo Emiliano Aranda-Abreu |
Muzaffar Iqbal |
Zheng Yuan |
|
Goran Marinkovic |
Nafiu Olanrewaju Ogunsola |
Zhengchang Wu |
|
Guangliang Xing |
Nagendra Verma |
Zhenhua Zhang |
|
Guanjun Yang |
Nam Deuk Kim |
Zhenyu Liu |
|
Guanzhou Ji |
Narayanaswamy Venketasubramanian |
Zhiguo Meng |
|
Guilherme Welter Wendt |
Natalia Kurhaluk |
Zhouli Liu |
|
Guillermo Berumen-Varela |
Natalija Čutović |
Zhuofu Liu |
|
Guna Sekhar Sajja |
Natesan Thirumalaivasan |
Zied Ben Hazem |
|
Guojie Xie |
Nebojša Jurišević |
Zihan Qu |
|
Hajer Ben Ammar |
Nevien Elhawat |
Zongwu Chen |
|
Hamid Ghazi Sulimany |
Nguyen Thi Thanh Binh |
Zorica Mojović |
|
Hamid Osman |
Nicolás Amigo |
(Note: we respected all privacy preferences, with part of nominees opting for limited attribution.)
7 July 2026
Meet Us at the 35th International Joint Conference on Artificial Intelligence, 15–21 August 2026, Bremen, Germany
Conference: 35th International Joint Conference on Artificial Intelligence
Organization: University of Bremen, German Research Center for Artificial Intelligence, U Bremen Research Alliance
Date: 15–21 August 2026
Place: Bremen, Germany
The conference, organized by the University of Bremen, German Research Center for Artificial Intelligence, and U Bremen Research Alliance, provides a platform for showcasing exceptional scientific innovations and fostering international collaboration in advanced AI and computing fields. Topics include Human-Centered AI, AI for Social Good, AI Tech: AI Enabling Critical Technologies, AI and Health, and AI and Robotics.
The following MDPI journals will be represented:
- Technologies;
- BioMedInformatics;
- Journal of Cybersecurity and Privacy (JCP);
- Computers;
- Computation;
- Multimodal Technologies and Interaction (MTI);
- Cryptography;
- Algorithms;
- Machine Learning and Knowledge Extraction (MAKE).
If you attend this conference, please feel free to visit our booth. Our delegates look forward to meeting you in person and answering any questions that you may have.












