Charalampos Chelmis
Assistant Professor

Department of Computer Science
College of Engineering and Applied Sciences
University at Albany - SUNY

1215 Western Ave, UAB 424B
Albany, NY 12222

Phone: 518-437-4948
E-mail: cchelmis [at] albany [dot] edu


IDIAS Lab

I am the Director of the UAlbany Intelligent Big Data Analytics, Applications, and Systems (IDIAS) Lab. In IDIAS, we are conducting cutting-edge research in advancing Network Science towards engineering a better world! We love getting involved with real-world problems for the simple reason that addressing grand societal challenge problems has the potential to result in tremendous social good, while significanly advancing Computer Science. Our contributions are in developing scalable and accurate algorithms for characterization, detection, and prediction tasks involving complex, massive, and high-dimensional datasets. For details on current projects, visit the IDIAS Lab webpage!

I am looking for highly motivated and hard-working students interested in Network Science, and Big Data analytics. If you are interested in joining my group, please apply to CS at the University at Albany. If you are an undergraduate or graduate student at UAlbany, and you are interested in any of my papers or projects, send me an email with your interests and CV.

I am additionally looking for two PhD students to work in my interdisciplinary project which was recently funded by the National Science Foundation. If you are interested in high-end interdisciplinary research at the intersection of Network Science, Big Data Analytics, and Machine Learning, apply now.

Research
Check out my complete list of publications (by year) and my Curriculum Vitae [last updated in February 2018].
Mar 2018: Prof. Daphney Zois and Wonhyung Lee presented the latest advances of our project to the NSF PI meeting, colocated with the Smart Cities Connect Conference & Expo.
Feb 2018: My collaborator, Prof. Wonhyung Lee presented our work on maximizing service delivery by integrating human behaviors, data analytics, and engineering at the UAlbany Advanced Data Analytics Network.
Feb 2018: Jason Viviano joins the IDIAS Lab as a B.S. student in Spring '18. Welcome on board!
Feb 2018: Invited to serve in the Food Pantries Software Development Committee.
Feb 2018: Gave a talk on summarizing changes in temporal networks at the UAlbany Advanced Data Analytics Network.
Jan 2018: Our tutorial on cyberbullying characterization, detection, and mitigation has been accepted at ICWSM.
Jan 2018: My book chapter on microblogging behavior and technology adoption at the workplace has been accepted for publication in the Cambridge Handbook of Technology and Employee Behavior, Cambridge University Press.
Jan 2018: Our paper on optimal online cyberbullying detection has been accepted at the IEEE International Conference on Acoustics, Speech, and Signal Processing. Congratulations Angelini and Miley!
Jan 2018: Jan Balaji Sankeerth joins the IDIAS Lab as a M.S. student in Spring '18. Welcome on board!
Jan 2018: Invited to serve in the qualifying examination commitee of CS PhD student Yan Hu.
Dec 2017: Congratulations to Andrew Furgiuele for his graduation!
Dec 2017: Invited to serve in the TPC of ICWSM.
Dec 2017: Our NSF project on making communities smarter and more connected is featured in the UAlbany NewsCenter.
Dec 2017: Invited to serve in the Advisory Board of The Swiss Innovation Valey.
Sep 2017: Project with Prof. Daphney Zois and Wonhyung Lee on participatory action, service, and support was funded by NSF (Duration: 2017-2020 - Awarded ammount: $996,740.00).
Oct 2017: Our book chapter on popularity estimation of pirated content on the web has been accepted for publication in the book Machine Learning Techniques for Online Social Networks, Springer.
Sep 2017: Our paper on patterns of cyberbullying on Twitter has been accepted for publication at the IEEE ICDM Workshop on Data Mining in Networks. Congratulations Miley!
Sep 2017: Invited to serve in the TPC of the International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs).
Sep 2017: Angeliki Kapodistria and Mengfan Yao, joined the IDIAS Lab as PhD students in Fall '17. Welcome on board!
Aug 2017: Our tutorial on web content popularity has been accepted at BigData.
Aug 2017: Attending KDD. I'm presenting at the Data-Driven Discovery Workshop.
Jun 2017: Invited to serve in the qualifying examination commitee of CS PhD student Dan DiTursi.
Jun 2017: Our paper on the distributed computation of social influence on massive datasets was accepted at HPEC.
Jun 2017: Presenting our latest work at WebSci.
Jun 2017: Invited to serve as judge in the WebSci'17 Hackathon: Social Network Analysis for Non-Social Data.
Jun 2017: Attending NetSci.
Apr 2017: Invited to serve as a panelist for NSF CISE.
Apr 2017: Our paper on automatic summarization of significant structural changes in large temporal graphs was accepted at WebSci. Congratulations to Reshul Dani!
Apr 2017: Invited to serve as a reviewer for the IEEE Transactions on Internet Technology.
Jan 2017: Andrew Furgiuele joins the IDIAS Lab as a B.S. student in Spring '17. Welcome on board!
Dec 2016: Presenting at WF-IoT.
Dec 2016: Presenting at BigData.
Nov 2016: Hosted Dr. Kush R. Varshney of IBM T. J. Watson Research Center, NY to give a talk on making machine learning safe as part of the UAlbany CS colloquiums.
Nov 2016: Gave a talk on challenges (and how to address them) associated with Big Data analytics at e-Austria Institute's and UVT's group for research on cloud resource management and Big Data applications
Nov 2016: Invited to serve as a member of the Organization Commitee of the 6th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning).
Sep 2016: Our paper on optimal consumer grouping for Smart Grids has been accepted for publication in the IEEE Transactions on Sustainable Computing. Congradulations Ranjan Pal!
Sep 2016: Our paper on computing competing cascades on signed networks has been accepted for publication in Social Network Analysis and Mining (SNAM) Journal. Congradulations Ajitesh Srivastava!
Sep 2016: Invited to serve as a reviewer for PLOS ONE.
Sep 2016: Invited to serve as a reviewer for the IEEE Transactions on Information Forensics & Security.
  • ICSI-432/532: Network Science, Spring 2018, UAlbany
  • ICSI-402: Systems Programming, Fall 2017, UAlbany
  • ICSI-432/532: Network Science, Spring 2017, UAlbany
  • ICSI-402: Systems Programming, Fall 2016, UAlbany
  • EE599 (Guest Lecture), Fall 2014, USC (hosted by Professor K. Chugg)
  • EE598 (Guest Lecture), Spring 2013, USC (hosted by Professor V. K. Prasanna)
  • CSCI 571: Web Technologies (TA), Fall 2009, USC
  • CSCI 571: Web Technologies (TA), Spring 2009, USC
  • CSCI 101: Fundamentals of Computer Programming (TA), Fall 2008, USC
  • Distributed Systems I, Software Laboratory (TA), Fall 2007, UPatras
  • Software Laboratory (TA), Fall 2006, UPatras
Academic Service
Co-Editor
  • Encyclopedia of Social Network Analysis and Mining, 2016
  • Guest Co-Editor, Journal of Parallel and Distributed Computing, Special Issue on Scalable Computing Systems for Big Data Applications, 2015
Co-Chair
  • IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015 2017
  • International Workshop on Scalable Computing for Real-Time Big Data Applications, 2014 2017
  • IEEE Parallel Learning Workshop, 2016
Program Commitee
  • International World Wide Web Conference (WWW), 2015 - 2016
  • International AAAI Conference on Web and Social Media (ICWSM), 2018 - present
  • IEEE International Conference on Social Computing (SocialCom), 2012 2016
  • High Performance Computing (HiPC), 2015 - present
  • IEEE International Conference on Advances in P2P Systems, 2010 2012
Reviewer
  • PLOS ONE, 2016 - present
  • IEEE Transactions on Knowledge and Data Engineering, 2015 - present
  • IEEE Transactions on Computational Social Systems, 2015 present
  • IEEE Transactions on Information Forensics & Security, 2016 - present
  • IEEE Transactions on Internet Technology, 2016 - present
  • ASE International Conference on Social Informatics 2012
  • IEEE International Conference on Social Computing, 2011
NSF Review Panelist
  • CISE, 2017
Charalampos Chelmis is an Assistant Professor in Computer Science at the University at Albany, State University of New York. His research interests comprise Network Science and Big Data analytics with real-world applications for social good. He has authored more than 40 conference and journal papers. Before joining UAlbany, he was Senior Research Associate at the University of Southern California. He earned his Ph.D. and M.S. in Computer Science from the University of Southern California in 2013 and 2010 respectively, and his B.Eng. in Computer Engineering and Informatics from the University of Patras in 2007.
Travel Plans
June 2018: Presenting a tutorial on cyberbullying characterization, detection, and mitigation at ICWSM in Stanford, CA, USA.
December 2017: Presenting a tutorial on web content popularity at BigData in Boston, MA, USA.
August 2017: Presenting at the KDD workshop on Data-Driven Discovery in Halifax, Nova Scotia, Canada.
June 2017: Presenting at WebSci in Troy, NY, USA.
June 2017: Presenting at NetSci in Indianapolis, IN, USA.
April 2017: Panelist for NSF CISE in Alexandria, VA, USA.
December 2016: Presenting at BigData in Washington D.C., USA.
December 2016: Presenting at WF-IoT in Reston, VA, USA.



Current Projects
Community on Multimodality: Participatory Action, Service, and Support
Cyberbullying detection
Summarization of significant changes in temporal networks

Funding Sources