Information
Retrieval Research Group
Dr. Tehmina Amjad
Associate Teaching Professor
Khoury College of Computer Science
Northeastern University
Silicon Valley Campus
My Research Interests
My
research interests lie at the intersection of several exciting fields: Information
Retrieval, Social Network Analysis, Data Mining, Machine Learning, Sentiment
Analysis, Scientometrics, and Bibliometrics. These
areas not only offer endless possibilities for discovery but also hold immense
potential for addressing real-world challenges.
In
today's data-driven world, the ability to efficiently retrieve and analyze
information is paramount. Social Network Analysis allows us to uncover hidden
patterns within vast networks of interconnected data, while Data Mining and
Machine Learning empower us to extract valuable insights from complex datasets.
Sentiment Analysis enables us to understand and respond to the emotions
expressed in large-scale text data, while Scientometrics
and Bibliometrics provide quantitative measures for evaluating scientific
impact and trends.
Throughout
my career at International Islamic University, Islamabad, Pakistan, I've had
the privilege of supervising talented students at both the MS and PhD levels,
collaborating with them on groundbreaking research that pushes the boundaries
of knowledge. Together, we've authored several publications that contribute to
the advancement of our understanding in these fields.
For
a comprehensive list of my publications, I invite you to explore my Google Scholar page.
Or
you can also visit my
personal website.
If
you want to join the Information Retrieval Research Group, send me an
email with your brief CV (t.amjad
at northeastern.edu)
Here,
I'm excited to share some of the publications that were produced as a result of
work of MS and PhD students.
PhD
Students:
Categorization and correlational
analysis of quality factors influencing citation
Grapharizer: A Graph-Based Technique for
Extractive Multi-Document Summarization
Toward a New Paradigm for Author Name
Disambiguation
Human interaction anticipation by
combining deep features and transformed optical flow components
MS
Computer Science Students:
Citation burst prediction in a
bibliometric network
Scientific impact of an author and
role of self-citations
Uncovering diffusion trends in
computer science and physics publications
Citation Count Is Not Enough:
Citation’s Context-Based Scientific Impact Evaluation
My
current research Interests and areas where NU students can work with me:
Presently,
I am eagerly anticipating delving into the realms of Sentiment Analysis,
Healthcare Analytics, and Word Embeddings. These domains represent dynamic
landscapes where groundbreaking discoveries and transformative innovations
await exploration. By leveraging cutting-edge methodologies and harnessing the
power of data-driven insights, I aim to unravel intricate patterns within
sentiment data, revolutionize healthcare practices through advanced analytics,
and unlock the latent semantic relationships encoded within language through
sophisticated word embedding techniques. These pursuits not only promise to
expand the frontiers of knowledge but also hold immense potential for
catalyzing positive change in diverse spheres of society.