The LDSA, founded by Prof. Muhammad Abulaish, is a hub of applied data-intensive inter-disciplinary research at South Asian University in New Delhi, India. LDSA, housed within the Department of Computer Science, engages affiliated faculty from both Indian and international universities to conduct cutting-edge research addressing current challenges and opportunities pertaining to data science and analytics. To advance research, LDSA employs postdoctoral fellows, PhD students in data science and analytics, and masters students from relevant affiliated programs. The LDSA provides a variety of opportunities for both organizations and individuals to get involved, including student mentoring and faculty development programs, summer trainings/workshops, and more.
The LDSA research team focuses on applying data mining, machine learning, and network analysis techniques to address real-world societal and industrial problems. We develop novel data analytics and machine learning techniques, particularly for text mining, social network analysis, figurative language detection, rumor detection, sentiment and emotion analysis, health informatics, and data-driven cybersecurity. Curating and analyzing large-scale data using data mining and machine learning techniques to extract actionable patterns for enabling business intelligence, data-driven economy, and open-source intelligence is a common theme in our research.
In support of academic research, LDSA intends to contribute to a number of open-source, open-science, and open-data-resource communities. Consider joining our group if you are interested in studying and working on applied machine learning and complex networks analysis. Industry, government, and organizations can collaborate with us to find data-centric solutions to their problems.
Muhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, 2022, pp, 1-30.
Mohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Vol. 16, 2021, pp. 4211-4223.
Ashraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.
Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, ACM Transactions on the Web, Volume 14, Issue 1, 2020, pp. 3:1-3:52.
Mohd Fazil and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume 13, Issue 11, 2018, pp. 2707-2719.
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