keynote Speaker 2022

Keynote Speaker Ⅰ

Federico Marcello

Senior Member of the IEEE and of the ACM

AWS AI Labs

A short introduction to Federico Marcello:

Marcello Federico is a Principal Applied Scientist at AWS AI Labs and Amazon Translate, USA, since 2018. At AWS he leads science teams working on automatic dubbing and machine translation. He received the Laurea degree in Information Sciences, summa cum laude, from the University of Milan, Italy, in 1987. From 1989 to 2017 he was a researcher at the IRST and FBK research centers in Italy. Since 2004, he lectures at the University of Trento, Italy. He was co-founder and scientific advisor of MateCat Srl (2014-2021), co-founder and former CEO of MMT Srl (2017-2018), the first company offering a real-time adaptive neural machine translation technology, and faculty advisor of the Pi School (2017-). His research expertise is in machine translation, spoken language translation, language modeling, information retrieval, and speech recognition. In these areas, he has co-authored 220 scientific publications, contributed in 20 international and national projects, mostly as scientific leader, and co-developed open-source software packages for machine translation (Moses) and language modeling (IRSTLM) used worldwide by research and industry. He has served on the program committees of all major international conferences in the field of human language technology. He is a co-founder of the International Conference on Spoken Language Translation series (2004-). He served as editor-in-chief of the ACM Transactions on Audio, Speech and Language Processing; as associate editor for Foundations and Trends in Information Retrieval, and as senior editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing. He has been a board member of the Cross Lingual Information Forum and the European Association for Machine Translation (chair of EAMT 2012), founding officer of the ACL SIG on Machine Translation. He is currently President of the ACL SIG on Spoken Language Translation and associate editor of the Journal of Artificial Intelligence Research. He is a senior member of the IEEE and of the ACM.

Speech Title: Improving Neural Machine Translation with Context Information

Abstract: Machine translation (MT) is typically formulated as the task of returning a correct translation for a single input sentence, and as a result, many alternative translations of a sentence can be considered as valid. However, human translations are mostly generated and consumed for specific communicative purposes and situations. Both verbal and social context provide important clues for generating appropriate translations, that are not only correct in terms of content but that also address the audience with the correct style and register. Thus, an ideal MT system would be able to control language variations via context, such as the previous sentences, the characteristics of the speaker, the relationship between the speaker and the audience, the domain of discourse, the specific use case, and so on. The recent “neural revolution” brought us impressive improvements in MT quality but also a new paradigm to approach AI problems. However, if we look at how current state-of-the-art MT works in communicative situations where context plays an important role, e.g. to resolve translation ambiguities, we get the impression that we still have a long journey ahead. In this talk, I will present results of work carried out at Amazon Translate to close this gap and improve neural MT along aspects that depend on context information such as voice and style, register, technical terms, idiomatic expressions, pronouns and other lexical ambiguities.   

Keynote Speaker Ⅱ

Subhas Chandra Mukhopadhyay

Fellow of IET (UK) and IETE (India),  Topical Editor of IEEE Sensors journal, the Founding chair of IEEE Sensors Council NSW chapter

School of Engineering, Macquarie University, North Ryde, NSW 2109, Australia

A short introduction to Subhas Chandra Mukhopadhyay:

Subhas holds a B.E.E. (gold medallist), M.E.E., Ph.D. (India) and Doctor of Engineering (Japan). He has over 31+ years of teaching, industrial and research experience. He is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. His fields of interest include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors and network, Internet of Things, etc. He has supervised over 50 postgraduate students and over 150 Honours students. He has examined over 75 postgraduate theses. He has published over 500 papers in different international journals and conference proceedings, written ten books and fifty five book chapters and edited eighteen conference proceedings. He has also edited forty books and thirty journal special issues. He has organized over 20 international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 400 presentations including keynote, invited, tutorial and special lectures. He has been cited so far 15569 times and has a h-index of 62. He has received various awards, most notably: the Australian Research Field Leader in Engineering and Computer Science 2020; Distinguished Lecturer, IEEE Sensors Council 2020-2022; Outstanding Volunteer by IEEE R10, 2019; World Famous Professor by Government of Indonesia, 2018; Certificate of Distinction from IEEE Sensors Council, 2017; IETE-R S KHANDPUR AWARD-India, 2016; Best Performing Topical Editor of IEEE Sensors Journal from 2013 to 2018, six years consecutively. According to Stanford University 2021, he is within the top 2% of scientists and ranks 87th in the world in Electrical and Electronic Engineering. He is a Fellow of IEEE (USA), a Fellow of IET (UK), a Fellow of IETE (India), a Topical Editor of IEEE Sensors journal. He is an associate editor of IEEE Transactions on Instrumentation and Measurements and IEEE Review of Biomedical Engineering. He is a Distinguished Lecturer of the IEEE Sensors Council from 2017 to 2022. He is the Founding chair of IEEE Sensors Council NSW chapter. More details can be available at: 

https://researchers.mq.edu.au/en/persons/subhas-mukhopadhyay

https://scholar.google.com.au/citations?user=fsu2yL8AAAAJ&hl=en

https://orcid.org/0000-0002-8600-5907

Speech Title: IoT, Smart Homes and Intelligent Buildings: From sensors to computing

Abstract: In recent time wireless sensors and sensor networks have been widely used in many applications such as monitoring environmental parameters, monitoring and control of industrial situations, intelligent transportation, structural health monitoring, health care and so on. The advancement of electronics, embedded controller, smart wireless sensors, intelligent computation, networking and communication have made it a possibility of the development of a low cost, low power smart Internet of Things (IoT) sensor nodes.  IoT based smart home provides a safe, sound and secured living environment for the inhabitant by monitoring activities 24/7. The development of smart homes leads to intelligent buildings in a broader perspective. Though significant developments have taken place but there are still many challenges faced by the researchers to make it happen to society. The talks will cover sensors, wireless sensor networks, Internet of Things, ambient intelligence, cloud computing including handling of Big Data based research and development activities.

Keynote Speaker Ⅲ

M.Grazia Speranza

 Member of the Academy of Sciences of Bologna, IFORS Fellow

Department of Economics and Management, University of Brescia, Italy

A short introduction to M.Grazia Speranza:

M. Grazia Speranza is full professor of Operations Research at the University of Brescia, where she served as Dean of the Faculty of Economics and Business and Deputy Rector.  She is currently President of IFORS (International Federation of the Operational Research Societies) and a former President of EURO (association of European Operational Research Societies) and of TSL (Transportation Science and Logistics society of INFORMS). As EURO President she founded the EURO Journal on Transportation and Logistics, the EURO Journal on Computational Optimization and the EURO Journal on Decision Processes. Her research focuses on mixed integer programming and combinatorial optimization with applications to transportation, supply chain management, scheduling and portfolio selection. Recent research is oriented towards the study of routing problems enabled by technological developments. Grazia is author of about 200 papers that appeared in international journals and volumes. She has been plenary speaker at several international conferences and member of the scientific committee of the major international conferences in the field. She was visiting professor at the London School of Economics and at Brunel University during her sabbatical and has given talks and seminars at many universities around the world.  She has been guest editor of special issues of journals, editor of several international journals and is co-editor-in-chief of the series of books ‘EURO Advanced Tutorials in Operational Research’. Grazie has been a member of many evaluation committees, including the European Research Council (ERC) mathematics panel. She is included in https://100esperte.it/ and in the book ‘100 donne contro gli stereotipi per la scienza', Egea, 2017 as one of the best 100 Italian women in the STEM area. In 2019 she was awarded with the Laurea honoris causa by the University of Freiburg, Switzerland. She is a member of the Academy of Sciences of the University of Bologna.  

Speech Title: Trends in transportation and logistics and the role of optimization

Abstract: Technological changes have been dramatic in the last decades. The Internet of Things (IoT) makes also objects and places capable of receiving, storing and transmitting information.  Coordination opportunities are enormous in all fields.  The technological developments are changing the way people and freight move. Analytics, and optimization in particular, are aimed at extracting value from the so called 'big data'. A systemic approach to problems and advanced analytical methods are even more vital than in the past.  In this talk the main trends in transportation and logistics will be presented and some research directions will be discussed with examples of integrated and collaborative problems in transportation and logistics.

CLNLP Past Speakers