PANEL 1


Life after PhD


Day 1 - MDM Education: Tue., Jun. 15
Toronto Seattle Paris Athens Beijing Brisbane
EDT (UTC-4) PDT (UTC-7) CEST (UTC+2) EEST (UTC+3) CST (UTC+8) AEST (UTC+10)
13:30 - 14:30 10:30 - 11:30 19:30 - 20:30 20:30 - 21:30 01:30 - 02:30 03:30 - 04:30

Session co-chairs: Goce Trajcevski (Iowa State University, US) and Maria Papadopouli (University of Crete, Greece)

Abstract

It aims to provide a “personalized perspective” on the types of challenges and opportunities that a young researcher may encounter after completing her/his PhD in the field related to mobile data. Moreover, the panelist will discuss issues which are often not taught or experienced throughout the Ph.D. studies, such as pursuing grants, collaboration with other domain-experts, changing of topics.

Panelists

  • Cristian Borcea, New Jersey Institute of Technology, USA

    Cristian Borcea is a Professor of Computer Science and the Associate Dean for Strategic Initiatives in the Ying Wu College of Computing at New Jersey Institute of Technology, USA. He also holds a Visiting Professor appointment at National Institute of Informatics, Tokyo, Japan. Cristian has over 20 years of experience in the fields of mobile computing & sensing; ad hoc & vehicular networks; and cloud & distributed systems. His current research is at the intersection of mobile computing and machine learning. He has published over 100 papers in top international journals and conferences, and his research has been covered in over 20 media articles in the past few years. Cristian has served as Technical Program Chair or General Chair to conferences such as IEEE MDM, IEEE Mobile Cloud, and EAI Mobiquitous. Cristian received his PhD in Computer Science from Rutgers University, USA.


  • John Krumm, Microsoft Research, Redmond, US

    John Krumm earned his PhD in Robotics from the School of Computer Science at Carnegie Mellon University in Pittsburgh, Pennsylvania, where he worked on computer vision. His first job was in the robotics division at Sandia Labs in Albuquerque, New Mexico. Then he moved to Microsoft Research in Redmond, Washington in 1997, where he has been since. His current research focus is location, mostly looking at how to process, protect, and value personal location data. In 2017, he received a 10-year impact award for a paper on location privacy from the ACM UbiComp conference. He holds 83 U.S. patents. He has served as the co-editor in chief of the Journal of Location Based Services, and he is currently an associate editor ACM Transactions on Spatial Algorithms and Systems and on the editorial board of IEEE Pervasive Magazine. Dr. Krumm was a PC chair for UbiComp 2007, ACM SIGSPATIAL 2013, and ACM SIGSPATIAL 2014. He is currently in his fourth year on the executive committee of ACM SIGSPATIAL.


  • Anirban Mondal, Ashoka University, India

    Anirban Mondal is an Associate Professor of Computer Science at Ashoka University. He has a Ph.D. in Computer Science from the National University of Singapore, an MBA from the University of Massachusetts Amherst (UMass) and a B.Tech. (Hons.) in Computer Science & Engineering from the Indian Institute of Technology (IIT) Kharagpur, India. His research interests include mobile and ubiquitous data management, incentive-based mobile crowdsourcing, spatial databases, database indexing, Big Data, IoT and distributed systems. He has numerous publications in key conferences/journals and is actively involved as a General Chair (DASFAA 2021, BDA 2020), PC Chair/Co-chair, PC member, journal reviewer as well as keynote/tutorial speaker at reputed international conferences/workshops.

    He has previously worked at the University of Tokyo, IIIT Delhi and Xerox Research (Bangalore, India and Grenoble, France). He has spearheaded industry research projects in domains such as urban informatics and finance, leading to four granted patents by the USPTO (US Patent and Trademark Office) as well as several patent filings. He has also been a Fellow of the prestigious Japan Society for Promotion of Science (JSPS) as well as an ACM India Eminent Speaker.


  • Karine Zeitouni, University of Versailles Saint-Quentin-en-Yvelines, France

    Karine Zeitouni received her PhD from the University of Paris 6. She is a Professor in Computer Science at the University of Versailles Saint-Quentin (UVSQ, Université Paris-Saclay). Her main research interest lies in databases, big data and data mining, with a focus on spatial and/or temporal data. She mainly applies her research in the fields of transportation, environment, universe science and health. She has supervised 16 graduate Ph.D. students, and co-authored over 120 peer-reviewed journal and conference papers. Her research is funded by national and European grants within multi-partners projects. She regularly serves as a PC member in international conferences in the field of (spatial) databases and data mining, machine learning and as a reviewer for national and international journals in these domains. She has (co-)chaired several conferences and workshops, and was General Co-Chair of IEEE MDM 2020.