Advisory Board and Editors Data Mining & Machine Learning

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Ana Reyes-Menendez

PhD Cum-Laude and Extraordinary Award in Business Economics from Rey Juan Carlos University specialized in Neuromarketing and Digital Marketing. Post-doctoral Research stays in Universidade Portucalense, Universidade do Algarve and RCC at Harvard University.

Assistant Professor of the Department of Business at Rey Juan Carlos University. Research focused on Online Consumer Behavior, Information Science, Data Science for Business and Biometrics.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Brain-Computer Interface Data Mining & Machine Learning Human-Computer Interaction Network Science & Online Social Networks

Joanna Rosak-Szyrocka

Dr. Joanna Rosak-Szyrocka is Erasmus+ coordinator at the Faculty of Management, Czestochowa University of Technology, Poland. She specializes in the fields of digitalization, industry 4.0, society 5.0, IoT, AI, quality management, and quality 4.0.

Data Mining & Machine Learning Human-Computer Interaction Internet of Things Network Science & Online Social Networks Sentiment Analysis

Mauro Rossi

Mauro Rossi is an expert on mapping, modeling and forecasting of landslides, floods and erosion processes in different geo-environmental and anthropic contexts. He has developed (i) new methodologies for statistical and deterministic analysis of the susceptibility and hazard posed by different geo-hydrological phenomena and for the estimation of their impacts, (ii) new statistical approaches to the definition of rainfall thresholds for triggering Landslides, (iii) early warning systems, (iv) approaches to the design optimal models for estimating landslide susceptibility and for the assessment of social risk posed by landslides and floods. He has also developed specific softwares for the landslide susceptibility modelling, for the landslide magnitude modelling and for the joint modeling of landslides and erosion processes in relation to different scenarios of geomorphological, climatic, vegetational and anthropic changes, in order to adequately characterize the hillslopes and the hydrological basins dynamics.

Data Mining & Machine Learning Scientific Computing & Simulation Spatial & Geographic Information Science Spatial & Geographic Information Systems Statistics

Ismaila Temitayo Sanusi

Ismaila Temitayo Sanusi earned his doctorate from the University of Eastern Finland. He specializes in computer science education, with a focus on democratizing Artificial Intelligence (AI) and Machine Learning (ML) for young learners and beginners. His research spans international contexts and involves co-designing innovative, constructionist technologies and learning materials for K–12 students. He develops AI tools and competency models to support curriculum integration, along with educator training resources that introduce students to AI early; helping build an AI-ready workforce and future technology creators. He also serves on editorial boards and as a special issue editor for journals in computing, technology, and education.

Artificial Intelligence Computer Education Data Mining & Machine Learning

Rossano Schifanella

Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.

Computer Networks & Communications Data Mining & Machine Learning Data Science Distributed & Parallel Computing Human-Computer Interaction Mobile & Ubiquitous Computing Multimedia Network Science & Online Social Networks Social Computing Spatial & Geographic Information Systems World Wide Web & Web Science

Alexander Schliep

Alexander Schliep received a PhD degree in computer science from the Center for Applied Computer Science (ZAIK/ZPR) at the Universität zu Köln, Germany (2001), working in collaboration with the Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory. From 2002-2009 he was the group leader of the Bioinformatics Algorithms Group in the Department for Computational Molecular Biology at the Max Planck Institute for Molecular Genetics in Berlin. From 2009–2016 he held a joint position as associate professor in the Department of Computer Science and the BioMaPS Institute for Quantitative Biology. From August 2016–February 2025 he held a faculty position (part-time since Oct 2022) at the University of Gothenburg in the Department of Computer Science and Engineering, which is a joint department of Chalmers and the University of Gothenburg. Since October 2022 he is the chair for medical bioinformatics at the Faculty of Health Sciences Brandenburg. His group is located at the Brandenburg Technical University Cottbus-Senftenberg.

He serves as an associate editor for BMC Bioinformatics and as an editor of PeerJ.

Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Genomics

Tavpritesh Sethi

Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).

Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.

Artificial Intelligence Bioinformatics COVID-19 Data Mining & Machine Learning Data Science Network Science & Online Social Networks Public Health

Joao C Setubal

João Setubal is full professor in the Biochemistry Department of the Institute of Chemistry at the University of São Paulo, Brazil. Setubal has a PhD in Computer Science (1992) from the University of Washington (USA). He was a faculty member at the University of Campinas (Unicamp, Brazil) (1992-2004), then Associate Professor at the Biocomplexity Institute of Virginia Tech, USA (formerly the Virginia Bioinformatics Institute) (2004-2011), where he still is an Adjunct Faculty. His research interests are in computational tools for genomics, metagenomics, and transcriptomics, and applications of such tools primarily in microbiology and microbial ecology.

Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Evolutionary Studies Genomics Microbiology

Syed Hassan Shah

Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.

Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioengineering Bioinformatics Biotechnology Blockchain Computational Biology Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Embedded Computing Emerging Technologies Environmental Health Healthcare Services Internet of Things Neural Networks Real-Time & Embedded Systems Security & Privacy Sensors Text Mining

Yuan Shang

Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.

Bioinformatics Computational Biology Crystallography Data Mining & Machine Learning Data Science Genetics Genomics Graphics Mathematical Biology Medical Genetics Metabolic Sciences Neuroscience Statistics Translational Medicine

Yilun Shang

I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Computational Science Data Mining & Machine Learning Data Science Mathematical Biology Network Science & Online Social Networks Optimization Theory & Computation Population Biology Robotics Scientific Computing & Simulation Social Computing Statistics Theoretical & Computational Chemistry Thermodynamics & Statistical Mechanics

Kaize Shi

Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.

Artificial Intelligence Computer Education Data Mining & Machine Learning Data Science Digital Libraries Distributed & Parallel Computing Emerging Technologies Natural Language & Speech Natural Resource Management Network Science & Online Social Networks Neural Networks Sentiment Analysis Social Computing Text Mining