Editors

About the Editor

M. Emre Celebi received his B.Sc. degree in Computer Engineering from the Middle East Technical University (Ankara, Turkey) in 2002. He received his M.Sc. and Ph.D. degrees in Computer Science and Engineering from the University of Texas at Arlington (Arlington, TX, USA) in 2003 and 2006, respectively. He is currently a Professor and the Chair of the Department of Computer Science and Engineering at the University of Central Arkansas. Celebi has actively pursued research in image processing/analysis and data mining with an emphasis on medical image analysis, color image processing, and partitional clustering. He has worked on several projects funded by the US National Science Foundation and National Institutes of Health and published over 170 articles in reputable journals and conference proceedings. According to a 2023 study from Stanford University, based on the composite citation index (an indicator of career-long citation impact), Celebi ranked 941 out of 356,955 researchers in Artificial Intelligence and Image Processing, placing him in the top 0.26% of his field. He is a senior member of the IEEE and a fellow of the SPIE.

Jingdong Chen received the Ph.D. degree in pattern recognition and intelligence control from the Chinese Academy of Sciences in 1998. From 1998 to 1999, he was with ATR Interpreting Telecommunications Research Laboratories, Kyoto, Japan, where he conducted research on speech synthesis, speech analysis, as well as objective measurements for evaluating speech synthesis. He then joined the Griffith University, Brisbane, Australia, where he engaged in research on robust speech recognition and signal processing. From 2000 to 2001, he worked at ATR Spoken Language Translation Research Laboratories on robust speech recognition and speech enhancement. From 2001 to 2009, he was a Member of Technical Staff at Bell Laboratories, Murray Hill, New Jersey, working on acoustic signal processing for telecommunications. He subsequently joined WeVoice Inc. in New Jersey, serving as the Chief Scientist. He is currently a professor at the Northwestern Polytechnical University in Xi'an, China. His research interests include array signal processing, adaptive signal processing, speech enhancement, adaptive noise/echo control, signal separation, speech communication, and artificial intelligence. Dr. Chen served as an Associate Editor of the IEEE Transactions on Audio, Speech, and Language Processing from 2008 to 2014 and as a technical committee (TC) member of the IEEE Signal Processing Society (SPS) TC on Audio and Electroacoustics from 2007 to 2009. He is currently a member of the IEEE SPS TC on Audio and Acoustic Signal Processing, and a member of the editorial advisory board of the Open Signal Processing Journal. He was the General Co-Chair of ACM WUWNET 2018 and IWAENC 2016, the Technical Program Chair of IEEE TENCON 2013, a Technical Program Co-Chair of IEEE WASPAA 2009, IEEE ChinaSIP 2014, IEEE ICSPCC 2014, and IEEE ICSPCC 2015, and helped organize many other conferences. He co-authored 12 monograph books including Array Processing—Kronecker Product Beamforming, (Springer, 2019), Fundamentals of Signal Enhancement and Array Signal Processing (Wiley, 2018), Fundamentals of Differential Beamforming, (Springer, 2016), Design of Circular Differential Microphone Arrays} (Springer, 2015), Noise Reduction in Speech Processing (Springer, 2009), Microphone Array Signal Processing (Springer, 2008), and Acoustic MIMO Signal Processing (Springer, 2006), etc. Dr. Chen received the 2008 Best Paper Award from the IEEE Signal Processing Society (with Benesty, Huang, and Doclo), the Best Paper Award from the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics in 2011 (with Benesty), the Bell Labs Role Model Teamwork Award twice, respectively, in 2009 and 2007, the NASA Tech Brief Award twice, respectively, in 2010 and 2009, and the Young Author Best Paper Award from the 5th National Conference on Man-Machine Speech Communications in 1998. He is a co-author of a paper for which C. Pan received the IEEE R10 (Asia-Pacific Region) Distinguished Student Paper Award (First Prize) in 2016. He was also a recipient of the Japan Trust International Research Grant from the Japan Key Technology Center in 1998 and the “Distinguished Young Scientists Fund'” from the National Natural Science Foundation of China (NSFC) in 2014.

E. S. Gopi is currently an Associate Professor in the Department of Electronics and Communication Engineering, National Institute of Technology Trichy. He has two decades of teaching and research experience. He has authored seven books and five book chapters. He has several papers in international journals and conferences to his credit. He is also the coordinator for the Pattern Recognition and Computational Intelligence Laboratory and the COMPSIG newsletter. His research interests include pattern recognition, signal processing, and computational intelligence. He received the “Shiksha Rattan Puraskar Award” for his meritorious services in the field of education by the India International Friendship Society. The award was presented by Dr. Bhishma Narain Singh, former Governor, Assam and Tamil Nadu, India. He also received the “Glory of India Gold Medal” by International Institute of Success Awareness. This award was presented by Shri Syed Sibtey Razi, former Governor of Jharkhand, India. He was also awarded with “Best Citizens of India 2013” by The International Publishing House.

Amy Neustein has served as Editor-in-Chief of the International Journal of Speech Technology since 2008, an ICI indexed journal, with a publication rate of about 90 peer-reviewed articles a year. She is the author/editor of 13 academic books that span various topics from speech and automata in healthcare, advances in speech recognition and natural language processing, text mining of web-based medical content, acoustic modeling of speech disorders, forensic speaker recognition, voice technologies for speech reconstruction and enhancement, acoustic analysis of pathologies from infancy to young adulthood, and, most recently, a study in cross-disciplinary data integration models for COVID-19. She serves as editor of the SpringerBriefs in Speech Technology, and as editor of the de Gruyter Series in Speech Technology and Text Mining in Medicine and Healthcare. She has authored over 70 papers, chapters, and articles. She is the recipient of the pro Humanitate Literary Award, the ITNG (Information Technology Next Generation) Medical Informatics Award, and a Humanitarian Award from the Los Angeles County Supervisor. She has served as visiting faculty at the National Judicial College since 1985. She received her Ph.D. from Boston University in 1981, with a degree in sociology, and a concentration of studies in conversation analysis and ethnomethodology. She is the Founder of Linguistic Technology Systems, a think tank in Fort Lee, NJ that has developed a novel dataset creator framework for publishing research objects.

H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering. Prior to joining the Princeton faculty in 1990, he was on the faculty of the University of Illinois at Urbana-Champaign. From 2006 until 2016, he served as Dean of Princeton’s School of Engineering and Applied Science. He has also held visiting appointments at several other institutions, including at Berkeley, Cambridge and Stanford. His research interests are in the areas of information theory, machine learning and network science, and their applications in wireless networks, energy systems and related fields.   Dr. Poor is a member of the U.S. National Academy of Engineering and the U.S. National Academy of Sciences, and is a foreign member of the Chinese Academy of Sciences, the Royal Society and other national and international academies. Recent recognition of his work includes the 2017 IEEE Alexander Graham Bell Medal, the 2019 ASEE Benjamin Garver Lamme Award, and honorary doctorates from several universities in Asia, Europe and North America.

Antonio Liotta (SMEEE’15) is Full Professor at the Faculty of Computer Science, Free University of Bolzano (Italy), where he teaches Data Science and Computer Networks. Antonio’s passion for artificial intelligence, has driven his academic career throughout Europe. After majoring his master´s degree with a thesis in artificial vision (University of Pavia, 1994), he earned a second master in ICT with a major in e-Health (Politecnico di Milano, 1996), and completed his PhD in Computer Science with a thesis in intelligent networks (University College London, 2001). He then progressed to a range of tenured academic roles at University of Surrey (intelligent networks, 2001-05) and Essex University (intelligent systems, 2005-2008). In the period between 2008 and 2020, he held professorships at Eindhoven University of Technology (NL), University of Derby (UK), and Edinburgh Napier University (UK), in tandem with Visiting and Distinguished Professorships in the UK, Australia and China. . In 2017 he was the founding director of the Data Science Research Centre, which is now a prominent institution in data science and intelligent systems. Antonio´s team is at the forefront of influential research in data science and artificial intelligence. He is renowned for his contributions to micro-edge intelligence and miniaturized machine learning, which have significant potential in harnessing data-intensive systems, for instance in the context of smart cities, cyber-physical systems, Internet of Things, smart energy, and machine learning with humans in the loop s. Antonio has led the international team that has recently made a breakthrough in artificial neural networks, initiating a new research strand at the intersection between machine learning and network science. He is also well-known for demonstrating machine learning processes in tiny sensors, proving the benefits of concurrent sensing and learning. One of the hallmarks of Antonio´s work is international research collaboration. He has set up several cross-border virtual teams, and has been credited with over 350 publications involving, overall, more than 150 co-authors. He is IEEE Senior Member (since 2015), Fellow of the UK Higher Education Academy (since 2003) and member of the following IEEE Technical Committees: Interactive and Wearable Computing and Devices; Environmental Informatics and Sensor Networks; Big Data; Internet of Things; Smart Cities; Smart Grid; Green ICT; Software Defined Networks; QoE for Multimedia Communications; Rebooting Computing; Computer Supported Cooperative Work in Design. Antonio is Editor-in-Chief of the Springer Internet of Things book series and associate editor of several prestigious journals. He is the author of “Networks for Pervasive Services: six ways to upgrade the Internet”

Mario Di Mauro received the Laurea degree in electronic engineering in 2005, and the Ph.D. degree in information engineering in 2018, both from University of Salerno. From 2007 to 2013 he was with Research Consortium on Telecommunications (formerly Ericsson Lab Italy) as an industrial researcher. He has been involved in several national and European projects (e.g., Evo-Smart, SINSIMS, HSEPGEST, CYSIoT) mainly focused on next-generation networking systems. He is Senior Member IEEE, IEEE ComSoc Member, IEEE SPS Member, and CNIT (Italian Consortium on Telecommunication) Member. Currently, he is a Research Fellow and Adjunct Professor in Telecommunications at University of Salerno. He has several papers in top-ranked journals and conferences to his credit. His main fields of interest include: traffic analysis, network availability and security, data analysis for telecommunication infrastructures.