Advisory Board and Editors Programming Languages
Harini Srinivasan
Working for 20+ years in industry on a variety of innovative topics - programming languages, run-time environment, tools including performance analysis, parallel distributed systems, service-oriented and business process architectures, deployment of large systems, e-commerce and social media analysis.
Sándor Szénási
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
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
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.
Zheng Yuan
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.