Advisory Board and Editors Multimedia

Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Rajeev Agrawal

Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.

Hazrat Ali

Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.

Xianye Ben

Xianye Ben received a Ph.D. degree in pattern recognition and intelligent system from the College of Automation, Harbin Engineering University, Harbin, in 2010. She is currently working as a full Professor in the School of Information Science and Engineering, Shandong University, Qingdao, China. She has published more than 90 papers in major journals and conferences, such as IEEE T-IP, IEEE T-CSVT, IEEE T-MM, PR, CVPR, etc. Her current research interests include pattern recognition and image processing. She received the Excellent Doctoral Dissertation award from Harbin Engineering University. She was also enrolled by the Young Scholars Program of Shandong University.

Angelo Ciaramella

Angelo Ciaramella received the Laurea degree (cum laude) in Computer Science and he is Associate Professor at the University of Naples “Parthenope”. The main research interests of Angelo Ciaramella are Soft Computing, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. Recently, he is interested for developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by Deep Learning methodologies in Brain Computer Interfaces. He is associate editor of international journals (i.e., Information Sciences, Soft Computing, International Journal on Artificial Intelligence Tools). He has been co-general Chair (IDCS2019), technical chair (CIBB2018) and organizer chair of Special Sessions. He is in the Program Committee of international conferences. He is a Fellow Member of IEEE and member IEEE Computational Intelligence Society, IEEE Signal Processing, SIREN, GIRPR, AIxIA.

Ting Dang

Dr. Ting Dang is currently a Senior Research Associate in Department of Computer Science, University of Cambridge. She received the BE and MEngSc degrees in Signal Processing from the Northwestern Polytechnical University, China. She received the Ph.D. degree from the University of New South Wales, Sydney, Australia. Dr. Dang's primary research interests include audio processing and digital health. Specifically, her work focuses on audio based health diagnosis, machine learning techniques, affective computing and mobile health.

Chitra Dorai

Dr. Chitra Dorai is an IBM Distinguished Engineer and a Master Inventor, with a sustained record of world renowned research and pioneering transformative innovations for clients in Banking, Financial Markets and Media & Entertainment over the last twenty three years. Chitra has co-authored 100+ peer reviewed technical papers in premier IEEE and ACM conferences and journals, edited a book and received 5 best paper awards at international conferences. She is also the inventor of 41 patents.

Pinar Duygulu

Pinar Duygulu has received her BSc, MSc and PhD degrees from Department of Computer Engineering at Middle East Technical University, Ankara, Turkey in 1996, 1998 and 2003 respectively. During her PhD, she was a visiting scholar at University of California at Berkeley under the supervision of Prof. David Forsyth. After being a post-doctoral researcher at Informadia Project at Carnegie Mellon University, she joined to Department of Computer Engineering at Bilkent University, Ankara, Turkey in 2004. During 2014 and 2015 she was at Carnegie Mellon University as a research associate. Currently, she is a faculty member at Department of Computer Engineering at Hacettepe University, Ankara, Turkey. She received BAGEP award in 2015, Fulbright scholarship in 2013, TUBITAK Career award in 2005, and the best paper in Cognitive Vision award at European Conference on Computer Vision in 2002. Her current research interests include computer vision and multimedia data mining, specifically object, face and action recognition in large image and video collections and analysis of historical documents.

Magda Elzarki

Magda El Zarki received the B.E.E. from Cairo University, Cairo, Egypt in 1979 and M.S. and Ph.D. degrees in Electrical Engineering from Columbia University, New York City, NY. Magda El Zarki currently holds the position of Professor in the Department of Computer Science at the University of California, Irvine, where she is involved in various research activities related to telecommunication networks and networked computer games. She is the Director of the Institute for Virtual Environments.

Andrea Esuli

Andrea Esuli is a senior researcher of the Italian National Research Council. His research interests are in the fields of multimedia information retrieval, machine learning, and text classification. He holds a PhD in Information Engineering from the University of Pisa. He is the recipient of the 2010 Cor Baayen Award, from the European Research Council for Informatics and Mathematics.

Hari K Garg

Educator, researcher, innovator, and an entrepreneur. Research has evolved from the lowest layers of 7-layer OSI model to the highest! Enjoys watching NFL and singing Bollywood songs! Has worked for Syracuse University, Philips/Lucent, and National University of Singapore. Infocomm technologies and their connections to humans fascinates Hari. His start-up companies are based on his own research and intellectual capital. The record of success is mixed. The journey continues forever.

Wendy Hall

Wendy Hall, DBE, FRS, FREng, is Professor of Computer Science in Electronics and Computer Science, University of Southampton, and is a Director of the Web Science Institute. She was Head of the School of Electronics and Computer Science (ECS) from 2002 to 2007, and was Dean of the Faculty of Physical Sciences and Engineering from 2010 to 2014.
One of the first computer scientists to undertake serious research in multimedia and hypermedia, she has been at its forefront ever since. The influence of her work has been significant in many areas including digital libraries, the development of the Semantic Web, and the emerging research discipline of Web Science.
She is Managing Director of the Web Science Trust.
She became a Dame Commander of the British Empire in the 2009 UK New Year's Honours list, and was elected a Fellow of the Royal Society in June 2009.
She was elected President of the Association for Computing Machinery (ACM) in July 2008, and was the first person from outside North America to hold this position.
Until July 2008, she was Senior Vice President of the Royal Academy of Engineering, was a member of the UK Prime Minister's Council for Science and Technology, and was a founder member of the Scientific Council of the European Research Council. She was President of the British Computer Society from 2003 to 2004 and an EPSRC Senior Research Fellow from 1996 to 2002.

Lynda Hardman

Lynda Hardman obtained her PhD from the University of Amsterdam in 1998, having graduated in Mathematics and Physics from Glasgow University in 1982. She was the development manager for Guide, the first hypertext authoring system for personal computers (1986). Her work on modelling hypermedia documents heavily influenced the first World Wide Web Consortium Synchronized Multimedia Integration Language recommendation.
She is the European director of LIAMA (http://liama.ia.ac.cn), a research collaboration since 1997 between INRIA (France), CWI and the Chinese Academy of Sciences.
She is the director of Amsterdam Data Science (http://amsterdamdatascience.nl), a partner organization whose mission is to strengthen the Data Science and AI ecosystem that spans academia, industry and society in the Amsterdam region.
She was the president of Informatics Europe (2016-2017) (http://www.informatics-europe.org/), a European association of computer science departments to foster the development of quality research and teaching in computer science within Europe.
She was named ACM Distinguished Scientist in 2014 and is a Fellow of the Bristish Computer Society.