International Graduate Research Workshop 2013 – Adaptivity and Personalization in Informatics
Venue: Edmonton, AB
March 23-24, 2013
International Graduate Research Workshop in Adaptivity and Personalization in Informatics (IGRW 2013) aims to provide learning and networking opportunities in order to advance research on the innovative paradigms, architectures and implementations of wireless applications and systems for individualised and adaptive learning. The topics covered in the workshop will range from adaptivity and personalization concepts and approaches, advance learning analytics, context aware learning systems and technologies, mobile and ubiquitous learning, and social interaction technologies.
IGRW 2013 is aimed for first and second year PhD students and advanced Master’s students with demonstrated research skills. Space permitted, the workshop also welcomes to industry professionals interested in adaptivity and personalized issues informatics.
Participants will have opportunities to connect with researchers from other places who have similar research interests. They will also be able to continue interaction with tutorial presenters. Participants will acquire hands-on experience with various research tools and prototypes developed by various researchers.
Participants will receive a certificate of participation after successfully completing various activities of the workshop. They will also have possibility to publish their short “position statement papers” in post-workshop proceedings.
A number of awards of $325 each available to support part of actual travel expenses (on the production of receipts) for those students from Canadian institutions, who will take part in the whole workshop.
Types of sessions:
1. Graduate student research session
Graduate students whose extended abstracts have been accepted will do 15- or 25-minute presentations, based on the research described in their extended abstracts.
2. Roundtable discussion session
Small groups of graduate students, whose research have potential for collaboration with each other, will discuss and brainstorm in these sessions, on specific research problems, leading to short “position statement papers”, to be published as a post-proceedings.
3. Tutorial sessions
These sessions will be run by NSERC/iCORE/Xerox/Markin research program team. Each tutorial will run for an hour, and will heavily focus on demonstrations to explain concepts. Following sessions are tentatively proposed:
Graduate students wishing to participate in the workshop will need to submit following documents:
Format: Letter size (8.5" x 11") as per IEEE transaction format (http://www.ieee.org/documents/TRANS-JOUR.doc)
Please submit all documents to Dr. Kinshuk at email@example.com. Please use subject line of email “IGRW 2013 – Your name”, where “Your name” needs to be replaced by your own name.
Please contact Dr. Kinshuk at firstname.lastname@example.org to express your interest to participate.
Dr. Kinshuk is Associate Dean of Faculty of Science and Technology, and Full Professor in the School of Computing and Information Systems at Athabasca University, Canada. He also holds the NSERC/iCORE/Xerox/Markin Industrial Research Chair for Adaptivity and Personalization in Informatics. He has a PhD from De Montfort University, United Kingdom. His work has been dedicated to advancing research on the innovative paradigms, architectures and implementations of online and distance learning systems for individualized and adaptive learning in increasingly global environments. Areas of his research interests include learning technologies, mobile, ubiquitous and location aware learning systems, cognitive profiling and interactive technologies.
Dr. Fuhua (Oscar) Lin is Full Professor and the Chair of School of Computing and Information Systems, Faculty of Science and Technology of Athabasca University, Canada. He is the group leader of Multiagent Systems within the NSERC/iCore Chair research program.
Dr. Vivekanandan S Kumar was born and raised in the south Indian state of Tamil Nadu. Completing a bachelors degree in Physics with Mathematics minor followed by a masters in Computer Science in India launched his professional career as a Scientist at the Centre for Development of Advanced Computing in Mumbai, India. During this tenure, he won a fellowship of the United Nations to work with Prof Alan Lesgold at the Learning Research and Development Centre (LRDC), University of Pittsburgh, USA. His research on 'model tracing' at LRDC won him a full PhD scholarship at the University of Saskatchewan, Saskatoon, Canada, where he worked with Prof. Gordon McCalla and Prof. Jim Greer. He graduated his PhD as the Best Graduating Student of 2001 and launched his academic career with Simon Fraser University as Assistant Professor.
Dr. Maiga Chang is Associate Professor in the School of Computing Information and Systems at Athabasca University, Canada. He has a PhD from Chung-Yuan Christian University, Taiwan. His researches mainly focus on mobile learning and ubiquitous learning, museum e-learning, game-based learning, educational robots, learning behaviour analysis, data mining, intelligent agent technology, computational intelligence in e-learning, and mobile healthcare.
Dr. Sabine Graf has a PhD from Vienna University of Technology, Austria, and is presently an Assistant Professor at Athabasca University, School of Computing and Information Systems, in Canada. Her research expertise and interests include adaptivity and personalization, student modeling, ubiquitous and mobile learning, artificial intelligence, and learning analytics. She has published more than 80 peer-reviewed journal papers, book chapters, and conference papers in these areas which have been cited over 900 times and three conference papers were awarded with a best paper award.
Dr. Qing Tan is an associate professor in School of Computing and Information Systems at Athabasca University. He earned his PhD in Cybernetics Engineering for Robotics from the Norwegian Institute of Technology in 1993. The Japan Atomic Energy Research Institute invited him in 1994 as a foreign senior research fellow. He joined Athabasca University in 2007 with extensive IT industrial experience. Dr. Tan is teaching and developing undergraduate and graduate courses including Mobile Computing, Computer Networking, E-Commerce, Enterprise Modeling, and Cloud Computing. Dr. Tan’s research interests include Location-Based Technologies, Mobile Computing, Adaptive Mobile Learning and Commerce, Wireless Sensor Networks, Computer Network and Cyber Security, Cloud Computing, and Telepresence Robotics. Dr. Tan was one of the first people to introduce the location awareness of mobile devices into mobile learning applications. He has developed a research framework for his location-based mobile learning research. Dr. Tan has additionally proposed a 5R adaptation framework for mobile learning system. While Dr. Tan’s research studies the theoretic and academic problems, he also strives to solve the application issues. He is working on building a telepresence robot for remote labs at Athabasca University to allow online students to conduct lab work via the Internet. He also collaborates on the development of a mobile fieldtrip system to assist online students with their fieldwork. Dr. Tan received many research grants and published many papers on International journals and conferences. Overall, Dr. Tan’s pioneering research is greatly impacting distance education and learning.
Dr. Dunwei Wen has been an Associate Professor in the School of Computing and Information Systems at Athabasca University (AU), Alberta, Canada since Jan. 2007. He received his PhD in pattern recognition and intelligent systems from Central South University in 2001, and MSc from Tianjin University and BEng from Hunan University in 1988 and 1985 respectively. Prior to his current position at AU, he was a visiting scholar in the Department of Computing Science at the University of Alberta, Canada, and a Full Professor in the School of Information Science and Engineering at Central South University, China.
His research interests include artificial intelligence, natural language processing, statistical machine learning and intelligent systems, and their application in industrial and educational information systems. He has published more than sixty journal and conference papers, supervised thirty graduate students and research assistants, and taken part in eighteen research and development projects. He has been serving on many program committees of international conferences in computing and information systems including Canadian AI and ICALT. He was elected as a member of board of directors of CAAI in 2001 and has been a member of IEEE, ACM, and AAAI since 2007.