It seems we can’t find what you’re looking for. Perhaps searching can help.
It seems we can’t find what you’re looking for. Perhaps searching can help.
Research Fellow
E-mail: abdesselam.ferdi@ut.ee
Address : Narva mnt 18, 51009 Tartu, Estonia
Office No: 3107
Google Scholar
Abdesselam Ferdi is a Research Fellow at the Institute of Computer Science, University of Tartu. He received his PhD, MSc, and BSc degrees in Biomedical Engineering from Constantine 1 University, Algeria, in 2025, 2020, and 2018, respectively. Dr. Ferdi’s research interests focus on artificial intelligence and medical image analysis.
Vikash Maheshwari is a Junior Research Fellow and Ph.D. candidate at the University of Tartu. He received his Bachelor’s degree in Computer Science from the University of Sindh, Pakistan, and a Master’s degree in Information Technology by Research, graduating with a High Achiever Award, from Universiti Teknologi PETRONAS, Malaysia. Before starting his doctoral studies, he served as a Graduate Research and Teaching Assistant at Universiti Teknologi PETRONAS. His research interests include Automated Machine Learning (AutoML), streaming data analytics, and concept drift detection and adaptation.
Kelem Negasi Amare is a Data Scientist with over four years of experience in Machine Learning and large-scale data engineering. He holds a B.Sc. in Electrical and Computer Engineering from Addis Ababa University (AAU), where he developed a strong foundation in software development, data analysis, and computational problem-solving..In industry, he has worked on R&D projects developing AI-based solutions for mobile security. He is an experienced developer specializing in Python and Go, and his work includes designing and deploying ML-based phishing detection systems for mobile devices, including on-device model deployment and inference on Android and iOS. Kelem’s expertise spans large-scale data processing with Apache Spark and AWS Glue, as well as workflow orchestration using Airflow, Terraform, and Kubernetes.
Currently, Kelem is pursuing an MSc in Computer Science with a specialization in Artificial Intelligence at the University of Tartu. His research interests center on AI interpretability and explainability. He aims to bridge advanced technical capabilities with human-centered understanding, ensuring AI systems are transparent, trustworthy, and practically usable.
Andres Sebastian Caceres Valdiviezo is a Senior Software Engineer with over seven years of experience designing and delivering cloud-native applications and scalable microservices, primarily on AWS. He brings a strong background in React, Python, Go, and DevOps practices, with proven expertise in Kubernetes, Apache Kafka, and CI/CD automation. Andres has also contributed to building impactful e-commerce platforms and agriculture-focused applications, delivering solutions that improve efficiency and data-driven decision-making. Currently pursuing an MSc in Computer Science with a specialization in Artificial Intelligence at the University of Tartu, he bridges advanced technical expertise with consulting skills, positioning himself as a versatile professional at the intersection of software engineering and AI research.
Bachelor graduate
LinkedIn
Bachelor graduate
LinkedIn
Master’s Graduate
LinkedIn
Hasan Mohammed Tanvir was an MSc. student at the University of Tartu. He completed his BSc. In Computer Science and Engineering at the American International University – Bangladesh, Dhaka. He started his career as a lecturer at the German University Bangladesh. Hasan has received multiple recognitions for both his academic and non-academic achievements. Aside from his academic activities, he was active in community work through his volunteering effort. His research interest lies in big data analysis in the domain of, but not limited to, business, environment, automobile and implementation of machine learning techniques for improved decision making.
Master’s Graduate
LinkedIn
Sadig Eyvazov is a Master’s student at the Computer Science Department at the University of Tartu. He received his Bachelor’s degree in Computer Science from The Academy of Public Administration under the President of the Republic of Azerbaijan in 2018. He is interested in Machine learning, Data Analytics, RDF, Semantic Web, and Data Science in general.
Master’s Graduate
LinkedIn
Shota Amashukeli is an MSc student at the University of Tartu. He graduated from San Diego State University in Computer Engineering with honors. Shota has been doing research in machine learning for over 2 years and his current research focus is in the domain of Automated Machine Learning.
Master’s Graduate
LinkedIn
Hudson is an MSc Student in the University of Tartu with interests in Smart Transport, Urban Mobility and Sharing Economies, using Artificial Intelligence and Machine Learning. He got his BSc. Computer Science (Honors) degree from Ashesi University College (Ghana) and Technology Lead and Co-Founder of a ride-sharing startup, Raba Rides. He has previously worked as a Data Scientist for Ixio Analytics, with experience in modeling financial solutions for businesses.
Master’s Graduate
LinkedIn
Abdul Wahab is an MSc Software Engineering student at the University of Tartu. He graduated with Cum Laude (Şeref Öğrencisi) standing from Bilkent University, Ankara, Turkey in 2018. Originally from Pakistan, he left his home for a better education abroad. Since High School, he has received various scholarships for his studies. Abdul majored in Electrical and Electronics Engineering with a concentration in Data Analytics, Statistical Learning, and Digital Signal Processing. He is passionate about analyzing various Engineering techniques especially in the domain of Data Analytics and Statistical Learning.
Master’s Graduate
E-mail: H.Mamdouh@nu.edu.eg
Hazem Mamdouh is a senior software engineer, he has been working in software development for 4 years for architecting, building and tuning performance for big scale projects using a variety of tools and technologies. Hazem got his BSc in Science in 2012. Despite his graduation from a biological department, he was interested in mathematical and logical thinking. He got a technical diploma in Open Source Technologies from Information Technology Institute (ITI). Currently, Hazem has completed his MSc degree at Nile University and the title of his thesis is “Automated Tuning for Deep Learning Networks”.
Publications:
Master’s Graduate
Youssef Sherif graduated with highest honor in 2018 from Zewail university of Science and Technology with a B.Sc. in Communication and Information Engineering. He is currently an MSc student at the University of Tartu. His works are in Deep learning especially in the fields of Computer Vision and NLP. He is interested in Machine Learning and Data Science in general.
Publications:
Master’s Graduate
LinkedIn
Abdelrhman Eldallal has graduated from the American University in Cairo with honors in Spring 2016, majoring in Computer Engineering and he was granted USAID-AUC Leadership for Education and Development (LEAD) scholarship. He started his studies of Artificial Intelligence and Machine Learning in the University of Rochester, New York during his study abroad semester in the United States. He has been working in the field of Machine Learning and Natural Language Processing for more than three years. He has been developing chat-bot platforms and many other solutions.
Master’s Graduate
LinkedIn
Elkhan Shahverdi is an MSc student at the University of Tartu. He received his bachelor degree from the Ankara University in Computer Engineering in 2014. Elkhan’s has work and research experience in Big Data Streaming, Data Processing, and Complex Event Processing. He is working as a Lead Software Engineer at Voida LLC. Elkhan’s research interests include big data processing systems, big data analytics, Complex Event Processing, Business Process Management, Distributed Systems, and Data Science.
Master’s Graduate
LinkedIn
Simona Micevska is a MSc student at the University of Tartu. She received her Bachelor’s degree in Computer Science and Engineering at the “Ss. Cyril and Methodius University of Skopje” in 2016. Simona has work experience in big data processing, building complex ETL processes, big data analysis, and designing, implementing and evaluating data mining algorithms. She is currently employed as Data Engineer at Reach-U. Simona’s research interests include Big Data Analytics, Big Data Processing, Data Science, Machine Learning and Human Mobility Patterns.
Master’s Graduate
LinkedIn
Viacheslav Komisarenko is a MSc student at the University of Tartu. He received his Bachelor’s degree in System Analysis at the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. Viacheslav has work experience in Data Science and software development. He is currently employed as Deep learning engineer at Kappazeta. Viacheslav’s research interests include Data Science, Machine learning and Time Series Analysis.
Master’s Graduate
LinkedIn
Khatia Kilanava is an MSc student at the University of Tartu. She has received her Bachelor’s degree in Mathematics at the Tbilisi Ivane Javakhishvili State University, Georgia. Khatia’s research interests mainly include Machine Learning, Data Science and Big Data Processing.
Master’s Graduate
LinkedIn
Nshan Potikyan is an MSc student at the University of Tartu. He has obtained his Bachelor’s degree (Hons) in Actuarial and Financial Mathematics from Yerevan State University, Armenia. Nshan has a solid background in various branches of Mathematics and a passion for problem-solving. His research interests lie in the field of data science with main focus on developing predictive models for the financial industry.
Master’s Graduate
LinkedIn
Victor Aluko is an MSc student in the University of Tartu. He has a bachelors degree in Computer Engineering from Olabisi Onabanjo University, Nigeria. His research areas include Big Data, BigSQL systems, and Data Analytics. He is a senior backend developer with BCaster Oy
Master’s graduate
LinkedIn
PhD Graduate
E-mail: mohamed.ragab@ut.ee
LinkedIn
Mohamed Ragab is a PhD graduate from the Data Systems Group. He received the B.Sc. degree in Information Systems from the faculty of Computers and Information, Fayoum University, Fayoum, Egypt, in 2013 and the M.Sc. degree in Information Systems from the faculty of Computers and Information, Cairo University, Cairo, Egypt, in 2018. He is currently pursuing the Ph.D. degree in Computer Science with the Faculty of Science and Technology, University of Tartu, Estonia. His current research interests include Semantic Web, Big Data, Large graph processing and Linked Data Integration.
Publications:
PhD Graduate
Google Scholar
CV
LinkedIn
Hassan Eldeeb graduated with a PhD in October 2024. Before he got his BSc and MSc degrees in Computer Engineering from Tanta University, Egypt. He previously worked as a researcher for Wireless Research Center (WRC) and InnoTech Inc. During his work experience, Hassan developed mathematical optimization, indoor/outdoor positioning, data analysis, and machine learning projects. He worked in medical and transportation machine learning based systems. Hassan also worked as a teaching assistant at the University of Tanta in Egypt. His current research interests include Distributed machine learning, Deep learning, and Online Machine Learning.
Publications:
Muhammad Uzair earned his Bachelor of Computer Science with Honors from the University of Gujrat, Pakistan. Subsequently, he relocated to Estonia, where he completed a Master’s in Computer Science with a specialization in data science. Muhammad has gained experience in building scalable and resilient data platforms for various organizations. He started his PhD studies in 2021, and his research is focused on soft computing techniques, with applications in the field of agriculture, and successfully graduated in October 2024.
Former Head of the Group
Email: ahmed.awad@ut.ee
LinkedIn
Prof. Dr. Ahmed Awad was the leader of the Data Systems Group from October 2020 till September 2023. Ahmed got his Ph.D. from Hasso-Plattner Institute, Potsdam University, Germany in 2010. Before that, he got his B.Sc. and M.Sc. degrees from Cairo University in 2000 and 2003 respectively. Ahmed’s research interests are in big streams processing, complex event processing, and applications thereof, especially in business process management. Dr. Awad has more than 60 publications in international journals such as Information Systems, Intelligent Information Systems, Cluster Computing, conferences such as BPM, CAiSE, ICPM, WWW, Big Compe, ICDE, and workshops.
Prof. Awad’s research interests are in data streams, complex event processing, and their applications in process mining. Another field of interest is online machine learning. Namely, drift detection on data streams and online recommender systems. Last but not least, large-scale process analytics, is of interest as well. Specifically, devising distributed analytics algorithms for process discovery, conformance checking, and compliance monitoring. Additionally, applying automated machine learning principles to minimize the human intervention with the choice of best-fitting discovery, conformance algorithms.
Master’s Student
E-mail: soliman@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3101
Ahmed Wael is a dedicated data science professional with a strong foundation in communication and information engineering, holding a B.Sc. from Zewail City of Science and Technology, Cairo. He has extensive experience in both academia and industry, having served as an AI Research Assistant and Teaching Assistant at Zewail City. His work includes developing deep learning models for video analytics, mentoring students, and revamping academic curricula.
In the industrial domain, Ahmed has held the role of Senior Data Scientist at Giza Systems, where he led R&D initiatives for chatbots, advanced analytics products, and the development of an AutoML engine.
Ahmed is currently pursuing his master’s degree at the University of Tartu Institute of Computer Science while working as a Data Science Specialist in the Data Systems Research Group. His current research focuses on Automated Machine Learning explainability, with a particular emphasis on generating realistic synthetic data that preserves privacy.
PhD Student
E-mail: ali.maharramov@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3103
Ali Maharramov began his studies in Computer Science at Baku State University in 2018 while gaining research experience at the Azerbaijan National Academy of Sciences Institute of Control Systems. He worked on localizing tasks in aerial imagery and contributed to a published article on geographical coordinates from aero image data.
Following his Bachelor’s degree, Ali continued his studies at Tartu University in 2022, focusing on computer vision and deep learning. He has since defended his Master’s thesis on an end-to-end multitask deep learning model for autonomous vehicles.
Currently, Ali’s research interest is in AutoML, where he applies AutoML techniques to solve instance-agnostic solutions.
PhD Student
E-mail: erickmartin@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3103
Google Scholar
Erick Martin Fiestas Sorogastua received both his MSc degree in Systems Engineering and BSc in Electronics Engineering from Universidad Privada Antenor Orrego, Peru, in 2022 and 2013, respectively. His research interests include, in the beginning, robotics and then, Artificial Intelligence applied in agriculture, as well as Edge Intelligence, Distributed AI and Internet of Things. In addition to his research, he has worked on different entrepreneurship projects, trying to find and explode a link between academy and industry. Erick has also worked in industry as a developer, data engineer, and data scientist. He has worked with Big Data systems in the cloud, implementing infrastructure in AWS and GCP, and deploying AI models in production.
Publications:
PhD Student
E-mail: mehak.mushtaq.malik@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3101
Mehak Mushtaq Malik is a Ph.D. candidate at the University of Tartu. She holds a Bachelor’s degree in Software Engineering (with distinction) and a Master’s degree in Computer Science from COMSATS University Islamabad. Prior to her Ph.D. studies, she worked as a Special Scientist at the KIOS Research and Innovation Center of Excellence. Her current research focuses on machine learning and artificial intelligence.
PhD Student
Mohamed is a junior lecturer at the University of Tartu and data team lead at the software development center at Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the telecoms, utilities, oil and gas, hospitality, and real estate among other market sectors. He is leading a team of data engineers, data scientists, and SW developers. He got his Bachelor’s degree in Communication and Information Engineering with Summa Cum Laude Honors from Zewail City of Science and Technology. He also got his master’s of science in computer science and data science specialization from the University of Tartu with a CGPA of 5.0/5.0. His current research interests are automated machine learning (AutoML), Online Learning, Models Interpretability, and calibration of machine learning / deep learning models.
PhD Student
E-mail: jan.timko@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3101
Google Scholar
CV
Jan Timko obtained his MSc degree in Economics from Charles University in Prague, which is focused on quantitative methods and econometrics. He has more than five years of industry experience in data analytics and data science. Most recently he worked as data scientist in Eesti Energia, where he contributed to projects related to time series forecasting and geographical data science. He has hands-on experience with Machine learning techniques, database technologies and building ML pipelines. His research interest is in XAI and Automated Machine Learning.
Lecturer of Data Management
E-mail: kristo.raun@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3101
Google Scholar
CV
Kristo Raun earned a BA in Marketing and Communication from the University of Aarhus and a MSc in Business Information Technology from Tallinn University of Technology. Kristo has worked in various data-related fields: as an analyst in a media agency, data warehouse specialist in finance, and a data engineering consultant on multiple cloud-based data warehouses.
His current research interests are Data Streams and Online Conformance Checking.
Lecturer of Data Management
E-mail: simon.pierre.dembele@ut.ee
Address: Narva mnt 18, 51009 Tartu
Office No: 3107
Google Scholar
CV
Simon Pierre Dembele is a lecturer in Data management at the Data Systems research group the University of Tartu. He received his B.Sc. in Mathematics & Computer Science and M.Sc. degrees in software engineering and information processing from M’Hamed Bougara University of Boumerdes, Algeria, in 2009 and 2011, respectively. He continued his Ph.D. studies at National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France, advised by Ladjel Bellatreche, focusing mainly on Database system energy efficiency and optimization, getting the Ph.D. in 2021. His research focuses on database optimization, query processing, and energy-aware data management. He is also interested in data modeling, Big Data & Cloud, Green computing, eHealth, and cloud for smart farming.
Publications:
Visiting Professor
Riccardo Tommasini is a visiting Associate Professor. Tommasini’s interests span across Stream Processing, Knowledge Graphs, Query and Programming Languages. He has a Ph.D. in Computer Science, obtained from the Department of Electronics and Information of the Politecnico di Milano, under the supervision of Prof. Emanuele Della Valle. His Ph.D. dissertation, titled “Velocity on the Web”, investigated the velocity aspects that concern the Web environment and will be soon published as a book by Springer.
Visiting Professor
E-mail
stefania.tomasiello@ut.ee
Stefania Tomasiello is an associate professor of Computer Science, with the University of Salerno, Department of Industrial Engineering, and visiting professor at the University of Tartu, Institute of Computer Science. She was formerly an associate professor of Intelligent Systems at the University of Tartu, Institute of Computer Science. Her research interests are in the broad area of soft computing. She published numerous papers in this area and a textbook. She is the co-Editor in Chief of Evolutionary Intelligence (Springer) and associate editor in several journals, such as IEEE Transactions on Neural Networks and Learning Systems. She is senior member of IEEE.
Associate Professor
E-mail: miika.hannula@ut.ee
Address: Narva mnt 18, 51009 Tartu, Estonia
Office No: 3097a
Google Scholar
Homepage
Miika Hannula is an Associate Professor at the Institute of Computer Science of the University of Tartu, and a University Researcher (0.15) at the University of Helsinki. He obtained a PhD in mathematics at the University of Helsinki in 2015 and was awarded the title of docent in mathematical logic at the same university in 2022. Before coming to Tartu, he has also worked at the University of Auckland in 2015-18. Hannula’s researcher interests are broadly in the mathematical aspects of data management and logic in computer science.
Founder and Former Head of the Group
Prof. Sherif Sakr was the Head of Data Systems Group at the Institute of Computer Science, University of Tartu from June 2018 till September 2020. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. Before joining the University of Tartu, he held appointments in several international organizations including University of New South Wales (Australia), Macquarie University (Australia), Data61/CSIRO (Australia), Microsoft Research (USA), Nokia Bell Labs (Ireland) and King Saud Bin Abdulaziz University for Health Sciences (Saudia Arabia). He also held several visiting appointments at Humboldt-Universitat zu Berlin (Germany), University of Zurich (Switzerland) and Technical Unversity of Dresden (Germany).
Prof. Sakr’s research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. Prof. Sakr published more than 150 refereed research publications in international journals and conferences such as: Proceedings of the VLDB Endowment (PVLDB), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Service Computing (IEEE TSC), IEEE Transactions on Big Data (IEEE TBD), ACM Computing Survey (ACM CSUR), Journal of Computer, Systems and Science (JCSS), Information Systems, Cluster Computing, Grid Computing, IEEE Communications Surveys and Tutorials (IEEE COMST), IEEE Software, Scientometrics, VLDB, SIGMOD, ICDE, EDBT, WWW, CIKM, CAiSE, ISWC, BPM, ER, ICWS, ICSOC, IEEE SCC, IEEE Cloud, TPCTC, DASFAA, ICPE and JCDL. One of his papers has been awarded the Outstanding Paper Excellence Award 2009 of Emerald Literati Network. He is also a winner of CAiSE’19 best paper award. Prof. Sakr was a constant reviewer for VLDB J., ACM TODS, ACM CSUR, ACM TWEB, ACM TAAS, IEEE TKDE, IEEE TSC, IEEE TBD, IEEE TCC, IEEE Software, DKE Elsevier, JSS Elsevier, WWW Springer, Distributed and Parallel Databases Springer and many other international conferences and journals.
Prof. Sakr was an associate editor of the cluster computing journal and Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS). He was serving as a guest editor for several special issues in various reputable journals including Future Generation Computer Systems and Big Data Research. He is also an editorial board member of many reputable international journals. Prof. Sakr is an ACM Senior Member and an IEEE Senior Member. In 2017, he had been appointed to serve as an ACM Distinguished Speaker and as an IEEE Distinguished Speaker. Prof. Sakr was serving as the Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies. He was also serving as a Co-Chair for the European Big Data Value Association (BDVA) TF6-Data Technology Architectures Group.
Published books:
Publications:
Head of the Group
E-mail: radwa.elshawi@ut.ee
Phone: +372 737 6431
Address: Narva mnt 18, 51009 Tartu, Estonia
Office No: 3099
Google scholar
CV
Assoc Prof. Radwa El Shawi is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu. She received her PhD in Information Technology from Sydney University, Australia, in 2013. She received her BSc and MSc degrees in Computer Engineering from the Computer Engineering department at the Arab Academy for Science and Maritime Transport, Egypt, in 2005 and 2008, respectively.
Dr. El Shawi’s research interests include Automated Machine Learning (AutoML), Explainable Artificial Intelligence, Big Data analytics, and Medical Informatics. In addition to her teaching responsibilities, Dr. El Shawi has substantially contributed to numerous research projects. Dr. El Shawi’s research contributions are evident through her extensive publication record, with over 50 refereed research publications in international journals and conferences. She is an Associate Editor at Evolutionary Intelligence and serves as an editorial board member for several esteemed international journals.
Publications:
PhD Graduate