Awarded College of Sciences internal grant for multidisciplinary research: (January 2017) Proposed project: Scalable Mining and Analysis of PPI Networks. This will be a short-term project with an expected duration of 6 months.
Joined UNO as an Assistant Professor of CS: (August 2016) I joined the University of New Orleans as an Assistant Professor of CS from Fall 2016. I moved to New Orleans-- a unique city with music, foods, and much more!
Defended my Ph.D. dissertation: (July 2016) The title of the dissertation is "Parallel Mining and Analysis of Triangles and Communities in Big Networks."
Completed my Ph.D. Preliminary Proposal Examination: (Nov 2015) Expecting to defend my thesis in Summer 2016.
Paper accepted in IEEE BigData 2015: A Fast Parallel Algorithm for Counting Triangles in Graphs using Dynamic Load Balancing, with Maleq Khan and Madhav Marathe. (Link)
Paper accepted in IEEE HPCC 2015:A Space-efficient Parallel Algorithm for Counting Exact Triangles in Massive Networks, with Maleq Khan and Madhav Marathe: in the 17th IEEE International Conference on High Performance Computing and Communications (HPCC 2015, NYC, New York). (Link)
Book chapter titled "Distributed Memory Parallel Algorithms for Massive Graphs" in press:Parallel Graph Algorithms, CRC Press / Taylor & Francis, 2015. Ed. David Bader.
Paper accepted in HPC 2015: Fast parallel conversion of edge list to adjacency list for large-scale graphs, in the 23rd High Performance Computing Symposium (HPC 2015, Alexandria, VA). (Link)
Paper accepted in IEEE eScience 2014:CINET 2.0: A Cyber-Infrastructure for Network Science. (Link)
Paper accepted in ACM CIKM 2013: Our paper on triangle counting in massive networks has been accepted in the 22nd ACM International Conf. on Information and Knowledge Management (CIKM 2013). (Link)
Click here for more information about the above and previous publications.
The University of New Orleans
2000 Lakeshore Dr | MATH Building 349 | New Orleans, LA 70148
Cell: (FiveZeroFour) SixOneSix-0529 |Email: smarifuz [AT] uno [DOT] edu
Big Data Mining and Analysis | Graph (Network) Analytics | Parallel Algorithms | High Performance Computing | Large-scale Scientific Computing
- Doctor of Philosophy (PhD) in Computer Science, Virginia Tech, USA | August 2016
- Bachelor of Science (BS) in Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh | March 2009
Shaikh M. Arifuzzaman is an Assistant Professor of Computer Science at the University of New Orleans (UNO), where he joined in Fall 2016. Earlier, he obtained his Ph.D. in Computer Science from Virginia Tech in August 2016. At Virginia Tech, he worked in Network Dynamics and Simulation Science Lab (NDSSL), where he did interdisciplinary research on Big Data Analytics, Parallel Algorithms, Network Science, and High-Performance Computing. He also worked as a student researcher at Sandia National Laboratories, Livermore, CA. Prior to that, Dr. Arifuzzaman completed his B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Dr. Arifuzzaman’s research revolves around large-scale data-intensive computing for interdisciplinary problems emerging from network science, biological science, and other data-rich scientific disciplines. He is particularly interested in mining and analyzing large network data (e.g., social/biological/information networks) by designing novel algorithmic and analytical techniques, often for HPC systems. In recent years, he has been working on designing efficient parallel algorithms for counting triangles in massive graphs, characterizing social networks based on local neighborhood, and designing algorithms for scalable community detection. At UNO, Dr. Arifuzzaman is leading a research group on large-scale data analytics/mining and HPC.
Announcement 1: (PhD Student Position Available)
I am looking for self-motivated and hard-working PhD students to start from Fall 2017. If you are interested in Big Data Analytics & Mining and HPC, confident about your capability and skills, then feel free to send me an email with your CV and a writing sample (research interest/plan, or previous publication). Apply early to be considered for funding.
Announcement 2:(Graduate Student Assistant Position Available, short-term)
For a recently funded short-term project related to biological data mining, I am looking for a student who is proficient in coding and familiar with statistical data analysis. Interested (and already admitted in CS graduate program) students may contact me with their resumes. Expected start date: Feb 01, 2017.