We have opening for multiple postdoctoral positions. Please contact us to know more. 

We always welcome motivated PhD applicants with research interests in high-performance computing, graph analysis, sparse-matrix computations, graph machine learning, and related problems. 

Ariful Azad – Assistant Professor, Department of Intelligent Systems Engineering (ISE), Indiana University Bloomington, – Affiliate Faculty, Data Science Program, Indiana University – Affiliate Research Scientist, Lawrence Berkeley National Laboratory Bio: Ariful Azad in an Assistant Professor in the Department of Intelligent Systems Engineering (ISE) in Luddy School of Informatics, Computing and Engineering at Indiana University. He obtained his PhD from Purdue University and BS from Bangladesh University of Engineering and Technology. He was a postdoctoral scholar and a research scientists at Lawrence Berkeley National Lab. Ariful is a recipient of DOE Early Career Award. email: azad@iu.edu CV: CV_Ariful

 

PhD Students

 

	Md Taufique Hussain Bio:Taufique is a third year Ph.D. student at the department of Intelligent Systems Engineering. He studies graph clustering algorithm that runs on high performance environments like large supercomputing clusters. He received his bachelor’s degree from Bangladesh University of Engineering and Technology. He likes to test himself with boredom. To do that he sometimes goes for a long run or a long bike ride. email: mth@indiana.edu CV: cv_taufique
	Nicholas Majeske Bio: Nicholas Majeske is a Ph.D. student of the Intelligent Systems Engineering department at Indiana University. His research is focused on the development of machine learning models for the prediction of spatiotemporal phenomena with applications in Hydrology and Neurology. He develops machine learning algorithms in PyTorch and PyTorch Geometric and has experience in distributed computation using OpenMP and MPI. email: nmajeske@iu.edu CV: NicholasMajeskeResume
	Selahattin Akkas Bio: Selahattin is a Ph.D. candidate of Intelligent Systems Engineering at Indiana University, majoring in Computer Engineering. His primary focus is Graph Machine Learning, GNNs, Self-supervised Training, and Deep Learning. He got his MS and BS degrees in Computer Engineering from Pamukkale University/Turkey. He likes going hiking (there are lots of good places around Bloomington ) and traveling in his free time. email: sakkas@iu.edu CV: selahattin_cv
	Abhigya Agrawal Bio: Abhigya is a Ph.D. student of the Intelligent Systems Engineering department at Indiana University. Her research is focused on Graph Neural Networks, Natural Language Processing and applications of graph machine learning in Knowledge Graphs. She got her M.S. in Intelligent Systems Engineering from Indiana University and her B.Tech in Computer Science and Engineering from Indian Institute of Information Technology, Sonepat. In her free time she likes to read novels and go for a swim. email: abagra@iu.edu CV: Abhigya_Agrawal_CV
	Md Saidul Hoque Anik Bio: .Md Saidul Hoque Anik is a Ph.D. student of the Intelligent Systems Engineering department at Indiana University. His primary research is focused on optimizing the low-level Sparse Matrix Multiplication in PyTorch framework. He has completed his M.Sc. in CSE where his focus was on natural language processing and time series analaysis. He also has experience in Web, Hybrid, and Android App development. email: mdshoqueATiu[dot]edu CV: Link to portfolio
	Elaheh Hassani Bio: . email:  CV:

 

MS Students

• Anisha Bajaj. Project: Energy Analytics
• Shreyas Sunil Vaidya. Project: Energy Analytics
• Ryan Jacob Roy. Project: Arsenic predictions
• Akshith Alwala. Project: Graph database benchmarks
• Rohit Gampa. Project: PyTorch Sparse
• Nithin Nataraj Vusirikala. Project: Knowledge graphs and graph databases
• Shardul Kanchan Dabhane. Project: Sparse matrix library
• Isuru Janith Ranawaka. Project: Random projection tree

PhD Alumni

• Md Khaledur Rahman, PhD in CS. Graduated: Summer 2022. First position: Facebook. Dissertation: High Performance Graph Representation Learning and Visualization
• Tingyi Wanyan, PhD in ISE. Co-advised by Ying Ding. Graduated: Spring 2022. First position: Postdoc at Cornell Medical School. Dissertation: Relational Modeling On Electrical HealthRecord Data

MS Alumni

• Zhixiang Gu, MS in ISE. Graduated: Fall 2019. First position: Facebook.
• Anuj Godase, MS in CS. Graduated: Spring 2021. Current position: Amazon.
• Abhigya Agrawal, MS in ISE. Graduated: Spring 2021. Current position: PhD Student, Indiana University