QUARTZ - Key Persons


Aleksandr Lebedev

Job Titles:
  • Quantum Open Systems and Adaptive Ranking of Information Items
Aleksandr Lebedev was graduated from Lomonosov Moscow State University (Faculty of Mechanics and Mathematics), Russia, with Honors as a Specialist in Fundamental Mechanics and Mathematics (analogous to MS Degree). For his thesis, he studied theoretical properties of hybrid quantum-classical systems under the supervision of professor Smolyanov. His research interest includes IR, ML, DL, the theory of open quantum systems and decision making.

Dimitris Gkoumas

Dimitris Gkoumas is a Quartz fellow at the OU in Milton Keynes, UK. Dimitris' research focuses on quantum-like adaptive multimodal information retrieval systems. His main research interests lie in statistics, data mining, predictive analytics, machine learning, deep reinforcement learning, pattern recognition, speech and image recognition, recommendation systems, accuracy improvement, information extraction, information retrieval, natural language processing (NLP), and data visualization. Some other research interests fall under cognitive science and game-based learning. He holds a B.Sc. in informatics engineering from the Technological Educational Institute of Crete and a M.Sc. in Informatics, with a specialization in Information and Communication Technologies from the Aristotle University of Thessaloniki. Before joining Quartz, Dimitris worked as a data scientist for another EU Marie Curie ITN project named Eduworks. He has also worked in many IT projects for more than 10 years of continuous services developing bespoke information systems to improve operational efficiency and business processes.

Dongsheng Wang

Dongsheng Wang received his master degree from the Department of Computer Science, Korea University in Aug. 2013. He had worked as an engineer for more than two years for the Chinese academy of sciences (CAS) where he attended to build two well-known large-scale knowledge bases, i.e., CASIA-KB and Linked Brain Data (cooperate with EPFL, which is leading the Human Brain Project). Also, he had several months working in a startup company and Tencent AI department. His research topics include NLP, Semantic technologies, Machine Learning, and information retrieval. He was awarded first place in the contest of "fact-checking" task in CLEF2018 and second place in the "entity linking" task in NLP&CC2013. He has published more than 15 papers in international conferences and journals, as well as two patents of innovations. His PhD topic at the University of Copenhagen is compositionality detection of queries, under the QUARTZ project.

Lester Beltran

Lester Beltran obtained a B.S. in Computer Science at the Interface Computer College, Recto Manila, Philippines. and a Post Graduate Certificate of a Master in Mechanical Engineering at, Wrexham Gwyndŵr University, United Kingdom. He worked as a Computer Programmer in Prozone Enterprises and Graphic Designer at RIM Graphics. The decision processes connected with complex design and their optimization attracted already then his special interest. Engaged in freelance work as a graphic designer further shaped his expertise in design in general, more specifically artistic design and mechanical design. In the course of the year 2015, he came into contact with the Center Leo Apostel and its research on decision processes, and started to participate in this research. His actual research interests are quantum cognition, quantum information retrieval and quantum natural language processing.

Lucas Lima

Lucas Lima holds an MSc in Computer Science from Federal University at Minas Gerais (2018), Brazil. He also has a BSc in Computer Science from Federal University at São João del Rei (2016) with additional courses from State University of New York at Fredonia, USA. Now, he is starting his first-year Ph.D. as a student at the University of Copenhagen, as well as an Early Stage Researcher (ESR) in the QUARTZ project. His current and future research interests include (but not limited) Information Retrieval, Ranking Models, Machine Learning, Natural Language Processing, IR Tasks (Complex Search Tasks) and Deep Learning. His current goal is to investigate and propose mathematical tools for considering and quantifying the degree of uncertainty in probability estimates of document features that are used for ranking.

Prayag Tiwari

Job Titles:
  • Decision Theory Based on Contextual Quantum Probability
Prayag Tiwari received his Master's Degree from the National University of Science and Technology MISIS, Moscow. He was working as a Teaching Assistant in the Department of Computer Science and Engineering during his Master's Degree Tenure. He has several publications in Journals, Book Series, and Conferences. Currently, he is the first-year Ph.D. student at the University of Padova and working as an Early Stage Researcher (ESR) in the QUARTZ project. His research interest includes Information Retrieval, Machine Learning, IoT. His current research work focuses on how and what the users of an Information Access and Retrieval (IAR) system judge the relevancy of documents, on what are the different circumstances that affect relevancy of documents. Moreover, the project aims to demonstrate whether the probabilities of human making decision can be quantified by quantum probabilities. It will assist us to develop a model of IAR which will escort to implement a novel decision theory on the basis of quantum probability.

Yousef Younes

Yousef Younes has received his B.E. from the department of Computer Systems Engineering, Al-Mamoun University, Syria in 2010. He had worked as a software developer for two years before he has gotten his M.E. from the school of software Engineering, Chongqing University, China in 2015. After that, he worked as a Lecturer in Al-Sham University, Syria. Now he has enrolled as a Doctoral student at the BTU-CS, and at the same time he is an early stage researcher (ESR) in the QUARTZ project. His research interests include quantum logic, data mining, and natural language processing. His main goal is to represent the concept of vagueness of natural languages in reasoning. To do so, he will use both modal logic and quantum logic to write a language with formal syntax and semantics. He will also work towards a calculus that will be used for computer based reasoning.