Advisory Board and Editors Software Engineering
Martina Iammarino
Martina Iammarino is a Researcher at the Department of Computer Science at the University of Bari Aldo Moro, Italy. She obtained the PhD in Information Technology for Engineering in February 2023 and the master's degree in 2019 at the University of Sannio. Her current research activities focus on software engineering , software and data quality, process and data engineering. Specifically, more recently, her research dealing with artificial intelligence techniques have been validated in the medical domain. In this regard, she has published several articles based on machine learning and deep learning techniques, applied to different domains. She has also been a reviewer for numerous international conferences and journals and a member of the organizing and program committees of international conferences.
She is among the main organizers of the CISE special session "Computational Intelligence in Software Engineering" held within IJCNN in 2024.
Gail E Kaiser
Prof. Kaiser's research interests lie at the boundary of software engineering and software systems, focusing on software reliability, privacy and security, and social software engineering. She served on the editorial board of IEEE Internet Computing for many years, was a founding associate editor of ACM TOSEM, and chaired an ACM FSE Symposium. She has directed her department's doctoral program since 1997. Prof. Kaiser received her PhD from CMU and her ScB from MIT.
Gregory M Kapfhammer
Focusing on software engineering, software testing, and data science, Gregory M. Kapfhammer is an Associate Professor of Computer Science at Allegheny College.
Natalia Kryvinska
Prof. Natalia Kryvinska is a Full Professor and a Head of the Information Systems Department, at the Faculty of Management, Comenius University in Bratislava, Slovakia. Previously, she served as a University Lecturer and a Senior Researcher at the eBusiness Department, University of Vienna's School of Business Economics and Statistics.
She received her Ph.D. in Electrical & IT Engineering from the Vienna University of Technology in Austria, and a Docent title (Habilitation) in Management Information Systems, from the Comenius University in Bratislava, Slovakia. She obtained her Professor title and was appointed for the professorship by the President of the Slovak Republic.
Her research interests include Complex Service Systems Engineering, Service Analytics, and Applied Mathematics.
Philipp Leitner
Dr. Philipp Leitner is an Associate Professor at Chalmers University of Technology and the University of Gothenburg. Previously, he was a senior research associate at University of Zurich. Philipp holds a PhD in Business Informatics from Vienna University of Technology. During his studies, Philipp was with Siemens PSE in Vienna and worked as independent software engineer. Philipp is interested in software engineering for the Web, and studies techniques that allow developers to build resilient, large-scale Internet applications.
Bev Littlewood
Bev Littlewood is Emeritus Professor of Software Engineering at City University London. He has worked in the following technical areas:
- Software reliability growth modeling
- Modelling of software design diversity for fault tolerance
- Exploring the limits of what can be claimed rigorously for system dependability
- Application of Bayesian probability and statistics to systems dependability
- Software testing
- Combining reliability and correctness claims in safety arguments
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Antonia Lopes
Antónia Lopes is Associate Professor at the University of Lisbon, Portugal, since March 2006. She received a Ph.D. in Informatics at the University of Lisbon in 1999 and holds a BSc and MSc in Applied Mathematics from Technical University of Lisbon. Her research interests are mainly in the area of formal methods for software engineering. These include mathematically based techniques for the specification, modelling and analysis of various types of software intensive systems.
Ann E. Loraine
I am an Associate Professor of Bioinformatics and Genomics at UNC Charlotte. Through a combination of ability and good fortune, I run a plant-focused experimental biology lab and software-focused research group based at the North Carolina Research Campus. As an Editor for PeerJ, I believe strongly that if your results are correct and well-supported, then they should be published. No-one can know in advance which results are significant and important, least of all myself. However, if your results resonate with me and my interests, it will be easier for me to become your enthusiastic advocate in the publication process. Good luck and thank you for entrusting your work to PeerJ.
Nageswara Rao Moparthi
Dr. M. Nageswara Rao is a Professor within the Dept. of Computer Science and Engineering, K L University, India. He has over 19 years of experience in the S/W industry and academia. Dr. M. Nageswara Rao has published over 20 articles in reputed international journals, written 2 books and filed 2 Indian patents. He is a reviewer for a number of SCI/SCIE journals, including IEEE Access and Journal of Big Data(JBD) Journal of Database Management, Cluster Computing , NHIB and Information Sciences; and Scopus journals, such as IJAIP, IJDS, CIT and IJECE. Dr. M. Nageswara Rao is also an associate TPC member for the following International conferences: ICACII-2019-Springer (India), ICCET-2020-IEEE/WOS (New Zealand), ITIoT/ICCCS 2020-Shanghai (China), JCICE-Sydney (Australia), BDET-2020-ACM Digital Library (Singapore) and ICCMA 2019-IEEE (TU Delft, Netherlands).
Dr. M. Nageswara Rao's research areas are listed below:
1.Data Mining
2. Data Analytics
3.Machine Learning
4. Software Engineering
5. Artificial Intelligence
Christopher J Mungall
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.
Anand Nayyar
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Dr. Nayyar has published more than 350 Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed) with a high Impact Factor. He is a member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 25+ Books of Computer Science. Associated with more than 500 International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 5 Australian Patents to his credit in the area of Wireless Communications and Artificial Intelligence. He is currently working in the area of Wireless Sensor Networks, MANETS, Swarm Intelligence, Cloud Computing, Internet of Things, Blockchain, Machine Learning, Deep Learning, Cyber Security, Network Simulation, Wireless Communications. Awarded 27+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Editor-in-Chief of IGI-Global, USA-- (IJSVST)”.