I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
I am Full Professor at the Alma Mater Studiorum, the University of Bologna. As a researcher, I am currently working on multi-agent systems, intelligent systems engineering, computational logic, explainable AI, agreement technologies. As a professor, I am currently teaching distributed systems, multi-agent systems, and intelligent systems engineering.
Michele Pasqua is an Assistant Professor at the Department of Computer Science of the University of Verona, Italy. His main research interests include abstract interpretation, program verification, static analysis, software testing, theoretical foundations of programming languages and software engineering, language-based security, and distributed systems.
He works actively in the software engineering and programming languages communities, being (co)author of more than 30 publications in international scientific journals and conference proceedings with peer review and regularly serving on international conferences and workshops program committees.
Dr Shengchao Qin has been a Professor (Chair) of Computer Science since 2011.
He received his PhD in 2002 from Peking University. From July 2002 to December 2004, he was a Research Fellow under the Computer Science Programme in the Singapore-MIT Alliance, affiliated with National University of Singapore. He became a University lecturer in Durham University in January 2005. In June 2010, he joined Teesside University as a Reader and became a full Professor in June 2011. From August 2016 to September 2019, he also acted as the Associate Dean (Research & Innovation) for School of Computing, School of Computing, Media & the Arts, and then School of Computing & Digital Technologies.
Shengchao is a full member of the UK EPSRC Peer Review College and a member of the UKRI FLF (Future Leaders Fellowships) Peer Review College. He is also a senior member of IEEE and ACM.
The Rommel Ramos Professor of Bioinformatics of Federal University of Para (Brazil) affiliated member of Brazilian Science Academy and CNPq Researcher (level 1-D). Since 2008 works with genome assembly and RNA-Seq analysis, he is the leader of the bioinformatic development group of the Biologic Engineering Laboratory in Park of Science and Technology (Pará/Brazil).
Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.
Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.
His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.
Stefan Wagner is full professor of software engineering at the Technical University of Munich in the TUM School of Communications, Information and Technology. He studied computer science in Augsburg and Edinburgh and psychology in Hagen. He holds a doctoral degree in computer science from TU Munich, where he also worked as a post-doc. Previously, he was a full professor at the University of Stuttgart. His main research interests are empirical studies, software quality, human factors, AI-assisted software engineering, AI-based software and automotive software. He is a member of GI and a senior member of ACM and IEEE.
Robert Winkler is Principal Investigator of the Laboratory of Biochemical and Instrumental Analysis at the CINVESTAV Unidad Irapuato and faculty member for the postgraduate programs Plant Biotechnology and Integrative Biology. His research topics include novel mass spectrometry techniques such as low-temperature plasma ionization and covalent protein staining, new approaches in the high-throughput metabolomic profiling of plants, computational mass spectrometry and proteomics.
Dr. Zheng Yuan is a Lecturer in Artificial Intelligence (Natural Language Processing) at Kings College London.
Dr. Yuan holds a PhD and an MPhil from the University of Cambridge, and a BSc in Engineering from Queen Mary University of London and Beijing University of Posts and Telecommunications. Before joining King’s, Zheng was a Research Associate at the University of Cambridge, where she is still a Visiting Researcher.
Her research interests include, Educational NLP, Language acquisition, Multilingual NLP, Machine translation, Neural networks and deep learning, Transfer and multi-task learning, Unsupervised and semi-supervised learning, and Explainable machine learning.