Ioannis Karamitsos
Chair of Graduate Programs and Research Department, Assistant Professor of Data Analytics
RIT Dubai
Ioannis Karamitsos
Chair of Graduate Programs and Research Department, Assistant Professor of Data Analytics
RIT Dubai
Bio
Ioannis Karamitsos (B.Sc., M.Sc., Ph.D.) has vast research academic and industry experience over 30 years as an executive manager who worked within the private and public sectors and experienced within European, Middle East and Chinese companies.
From 2020 to present, Ioannis is an Assistant Professor of Data Analytics at Rochester Institute of Technology-Dubai Campus. In 2016, he had joined Department of Electrical Engineering as an Adjunct Professor at Rochester Institute of Technology Dubai. From 2010 to 2020, Ioannis was a Digital Transformation Technologist at Orange Business Services, with ten years of consulting experience working with clients to develop and deliver their strategies and transform their organisations into Smart and Digital Cities. Ioannis is member of DSOA-Dubai Innovation Advisory Board.
He is particularly interested in applying Blockchain, Cryptography, Machine learning, IIoT, and data mining techniques to emerging problems related to large-scale decentralized cyber-physical systems and critical infrastructures as well as energy, health care and other domains of major economic and social impact. Ioannis received his PhD in Computer Science from University of Salford, UK, a Master Degree in Telematics Management from University of Danube Krems, Austria, and Bachelor Degree (Laurea) in Electronic Engineering from University of Rome "La Sapienza", Italy. His have also executive certificates from Oxford University (Blockchain Strategy), MIT (Tackling the challenge of Big Data) and from Columbia Business School (Driving Strategic Impact Program).
Select Scholarship
Journal Paper
Karamitsos, Ioannis, et al. "LegNER: A Domain-Adapted Transformer for Legal Named Entity Recognition and Text Anonymization." Frontiers in Artificial Intelligence 8. (2025): 1638971. Print.
Karamitsos, Ioannis, et al. "Optimized Neural Network Architectures for Brain Tumor Classification and Precision Medicine." International Journal on Artificial Intelligence Tools. (2025): 1142. Web.
Anum, Faraz, et al. "Enhancing Child Safety in Online Gaming: The Development and Application of Protectbot, an AI-Powered Chatbot Framework." MDPI Information 15. (2024): 233. Web.
Karamitsos, Ioannis, et al. "Transforming Airport Security: Enhancing Efficiency through Blockchain Smart Contracts." MDPI ELECTRONICS 12. 21 (2023): 4492. Web.
A-Hussaeni, Khalil, Mohamed Sameer, and Ioannis Karamitsos. "The Impact of Data Pre-Processing on Hate Speech Detection in a Mix of English and Hindi–English (Code-Mixed) Tweets." MDPI Applied Sciences. (2023): 1231. Web.
Kanavos, Andreas, Ioannis Karamitsos, and Alaa Mohasseb. "Exploring Clustering Techniques for Analyzing User Engagement Patterns in Twitter Data." Computers 12. 6 (2023): 124. Web.
Al-Hussaeni, Khalil, et al. "CNN-Based Pill Image Recognition for Retrieval Systems." Applied Sciences 13. 8 (2023): 5050. Web.
Karamitsos, Ioannis, et al. "Blockchain as a Service (BCaaS): A Value Modeling Approach in the Education Business Model." Journal of Software Engineering and Applications 15. 5 (2022): 165-182. Print.
Karamitsos, Ioannis, IIham Seladji, and Sanjay Modak. "A Modified CNN network for automatic pain identification using facial expressions." Journal of Software Engineering and Applications 14. 8 (2021): 400-417. Web.
Papadaki, Maria, Ioannis Karamitsos, and Marinos Themistocleous. "ViewpointCovid-19 digital test certificates and Blockchain." Journal of Enterprise Information Management 34. 4 (2021): 993-1003. Print.
Papadaki, Maria and Ioannis Karamitsos. "Blockchain Technology in Middle East and North Africa Region." Information Technology for Development 27. 3 (2021): 617-634. Web.
Karamitsos, Ioannis, Saeed Albarhami, and Charalampos Apostolopoulos. "Applying DevOps Practices of Continuous Automation for Machine Learining." MDPI Information 11. 7 (2020): 363. Web.
Karamitsos, Ioannis, Alshwarya Afzulpurkar, and Theodore Trafalis. "Malware Detection for Forensic Memory using Deep Recurrent Neural Networks." Journal of Information Security 11. 2 (2020): 103-120. Web.
Karamitsos, Ioannis, Saeed Albarhami, and Charalampos Apostolopoulos. "Tweet Sentiment Analysis (TSA) for Cloud Providers using Classification Algorithms and Latent Semantic Analysis." Journal of Data Analysis and Information Processing 7. 4 (2019): 276-294. Web.
Published Conference Proceedings
Kanavos, Athanasios, Ioannis Karamitsos, and Manolis Maragoudakis. "Thyroid Nodule Classification Using Convolutional Neural Networks in Ultrasound Imaging." Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations. Ed. Papaleonidas, A., Pimenidis, E., Papadopoulos, H., Chochliouros, I. (eds). Limassol, Cyprus: Springer Nature, 2025. Print.
A, Albloushi, et al. "Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port Efficiency and Optimal Berth Allocation." Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations. Ed. Maglogiannis, I., Iliadis, L., Andreou, A., Papaleonidas, A. (eds). Limassol, Cyprus: Springer Nature, 2025. Print.
Papadimitrou, Orestis, et al. "Fine-Tuning BERT for Robust Sentiment Classification of IMDb Reviews." Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations. Ed. Papaleonidas, A., Pimenidis, E., Papadopoulos, H., Chochliouros, I. (eds). Limassol, Cyprus: Springer Nature, 2025. Print.
M, Alghawi, Jinane Mounsef, and Ioannis Karamitsos. "Optimizing Vehicle-to-Vehicle Energy Sharing with Predictive Modeling." Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations. Ed. Papaleonidas, A., Pimenidis, E., Papadopoulos, H., Chochliouros, I. (eds). Corfu, Greece: Springer Nature, 2024. Print.
Bassem, Torky, Ioannis Karamitsos, and Najar Tareq. "Anomaly Detection in Enterprise Payment Systems: An Ensemble Machine Learning Approach." Proceedings of the Business Analytics and Decision Making in Practice. ICBAP 2024. Ed. Emrouznejad, A., Zervopoulos, P.D., Ozturk, I., Jamali, D., Rice, J. (eds). Sharjah, UAE: Springer, 2024. Print.
Kanavos, Athanasios, et al. "Analyzing Deep Learning Techniques in Natural Scene Image Classification." Proceedings of the 2024 IEEE International Conference on Big Data (BigData),. Ed. IEEE. Washington, DC: IEEE, Print.
Karamitsos, Ioannis, Alaa Mohasseb, and Andreas Kanavos. "A Graph Mining Method for Characterizing and Measuring User Engagement in Twitter." Proceedings of the IEEE 17th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP. Ed. IEEE. Athens, Greece: IEEE, Print.
Kanavos, Andreas, et al. "Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social Networks." Proceedings of the 2024 IEEE International Conference on Big Data (BigData). Ed. IEEE. Washington, DC: IEEE, 2024. Print.
Book Chapter
Manifavas, Harry and Ioannis Karamitsos. "Blockchain in Supply Chain management." Heterogeneous Cyber Physical Systems of Systems. Ed. Ioannis Papaefstathiou and Alkis Hatzopoulos. Glstrup, Denmark: Rivers Publishers, 2020. 61-95. Print.
Currently Teaching
ISTE-780
Data Driven Knowledge Discovery
3 Credits
Rapidly expanding collections of data from all areas of society are becoming available in digital form. Computer-based methods are available to facilitate discovering new information and knowledge that is embedded in these collections of data. This course provides students with an introduction to the use of these data analytic methods, with a focus on statistical learning models, within the context of the data-driven knowledge discovery process. Topics include motivations for data-driven discovery, sources of discoverable knowledge (e.g., data, text, the web, maps), data selection and retrieval, data transformation, computer-based methods for data-driven discovery, and interpretation of results. Emphasis is placed on the application of knowledge discovery methods to specific domains.
PROF-740
Fundamentals of Data Analytics
3 Credits
This course introduces students to foundational skills in data analytics, with a focus on mathematical foundations. Students will explore topics that form the backbone of modern data analytics such as machine learning, data mining, artificial intelligence and visualization. Tools for statistics will be introduced to students for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.
PROF-741
Enterprise Infrastructure for Data Analytics
3 Credits
This course introduces students to the challenges in large and small organizations related to data analysis and storage. Students will be introduced to economic infrastructure approaches for handling data securely. Platforms which are hosted both on-premises of organizations and in the cloud will be covered in this course.