Data-Intensive

Computing Distributed

Systems Lab

Lab Details

Data-Intensive Computing Distributed Systems Lab at Marquette University focuses on designing, developing and implementing databases, machine learning, data science and artificial intelligence algorithms for data integration, big data analytics, human-in-the-loop interactions, and data visualizations. The research conducted in our group is applied to various domains, including biomedical and health care informatics, neuroscience, sports, security, and space technology data.

Lab Faculty

Dr. Priya Deshpande
is an Assistant Professor at Electrical and Computer Engineering department at Marquette University. Priya Deshpande completed her PhD in Computer Science from DePaul University, Chicago. Priya is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). Her research interests encompass machine learning, natural language processing, databases, big data analytics, and computer-aided diagnosis. Priya’s previous research addressed big data analytics and load balancing in cloud computing. Her current research focuses on biomedical data integration. She integrates public clinical data sources and medical ontologies. She incorporates databases, natural language processing, information retrieval, artificial intelligence, and machine learning techniques to help clinical experts to find supplemental reference information and improve diagnostic accuracy.

PhD Students

Omar Farghaly
Omar received his B.S. in Information Engineering and Technology, Major Communications from the German University in Cairo in 2012. From 2012 till 2019, he worked as a researcher in a home automation system startup company in Egypt. In Fall 2019, he joined Technische Universität Ilmenau for his M.S. degree in Communications and Signal Processing, which was accomplished in June 2021. During his time in TU Ilmenau, he performed projects in image segmentation, object detection, audio processing and designing SDN network topologies in Smart Grids. Additionally, he worked as a research assistant at Fraunhofer IDMT and Fraunhofer IOSB for around 2 years, where his projects focused on audio processing and cyber security for smart grids. Currently, he has been pursuing his PhD. in Electrical and Computer Engineering at Marquette University since Fall 2022. His research interests include image processing and deep learning in medical field. He is currently working on enabling automatic detection and segmentation of brain metastases.

Shamiha Binta Manir
Shamiha is interested in brain computer interface. She is pursuing her PhD in Electrical and Computer Engineering at Marquette University. She studied electrical and electronic engineering for her undergraduate and master’s degrees from the University of Dhaka, Bangladesh. Currently she is working on to create a prediction model for the risk of developing breast cancer and text prediction for aphasia patients. In her free time, she loves to paint in watercolor and play the ukulele.

Iftakhar Khandokar
Iftakhar received a B.S. in Computer Engineering and an M.S. in Computer Science and Engineering from the United International University of Dhaka Bangladesh. For the past 4 years, he has been working as a Machine Learning Engineer in the Software Industry of Bangladesh. Currently, Iftakhar is pursuing his Ph.D. in Electrical and Computer Engineering at Marquette University. His research interests include Computer Vision, Natural Language Processing, and other deep learning approaches.

Masters Students

Luke Richmond
Luke received his B.S. with a double major in Computer Engineering and Computer Science from the University of Wisconsin-Madison in 2020. He spent over a year at Caterpillar working in their autonomy department. Since Fall 2022 semester, he has been pursuing his M.S. in Electrical and Computer Engineering at Marquette University. His current research interests include image processing, neural networks, and other deep learning techniques. He has been particularly in the medical field. His current project is experimenting with Generative Adversarial Networks to improve diagnoses in breast cancer imaging.

Research & Publications

[December, 15, 2023]
Samiha had her paper titled “Student Success Analysis for Minority Students in Higher Education” published in the prestigious IEEE International Conference on Big Data (BigData) 2023, held in Sorrento, Italy.

The paper was presented at the conference and published in the conference proceedings, garnering attention and recognition from researchers and experts in the field of big data and education.

Paper DOI: 10.1109/BigData59044.2023.10386349

[June, 14, 2023]
We are pleased to announce that Samiha B. Manir, a member of our Data-Intensive Computing Distributed Systems Lab, has recently published a paper titled “Prediction and analysis of the risk of developing breast cancer based on different demographic factors” at the 2023 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM).

In this paper, Samiha B. Manir and Dr. Priya Deshpande present a predictive model for assessing the risk of developing breast cancer based on various demographic factors. The study utilizes advanced data analysis techniques to explore the relationship between demographic characteristics and the likelihood of breast cancer development. The findings of this research provide valuable insights into understanding and predicting breast cancer risks.

The article is available in the following link: https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsiim.org%2Fpage%2F23m_cfa_research_abstracts&data=05%7C02%7Ciftakhar.khandokar%40marquette.edu%7C99341eff49c44125450308dc68b06c1c%7Cabe32f68c72d420db5bd750c63a268e4%7C0%7C0%7C638500354144575457%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=hc%2FY0PWmIkwBI2Dxzy398G26m1rO5FIUbxevOSCMttQ%3D&reserved=0

Recent News & Events

The recent Department of Electrical and Computer Engineering (ECE) colloquium showcased the cutting-edge research of our lab members, Omar Farghaly, Samiha Binte Manir, and Luke Richmond. The event, attended by faculty, students, and esteemed guests, provided an excellent platform for sharing innovative ideas and discoveries. Omar presented his research findings, Samiha enlightened the audience with her insights, and Luke discussed his latest discoveries. The colloquium was well-attended, fostering a dynamic exchange of ideas and knowledge among attendees. Following the presentations, an engaging discussion ensued, with attendees offering valuable feedback and insights, allowing for deeper exploration of the research topics and potential avenues for collaboration. The research presented at the colloquium showcases the innovative work being conducted in our department and its potential impact on various fields within electrical and computer engineering. The success of the colloquium highlights the importance of academic gatherings in fostering collaboration and knowledge exchange, and we look forward to more such events that promote interdisciplinary research and innovation. Congratulations to Omar Farghaly, Samiha Binte Manir, Luke Richmond, and all participants for their engaging presentations and insightful discussions!