Aibek
Musaev

General Information

Email:
aibek.musaev@gatech.edu
Phone:
4049447335
Location - Building:
CCB
Location - Room:
218
Roles:
Lecturer (any rank)
Primary Unit:
School of Computing Instruction

Details

Degrees with subject and Postdoc Experience:
Degree Type
Ph.D.
Subject
Computer Science
Year
2016
Institution
Georgia Institute of Technology
Location
Atlanta, GA
Degree Type
M.S.
Subject
Computer Science
Year
2000
Institution
Georgia Institute of Technology
Location
Atlanta, GA
Degree Type
B.S.
Subject
Computer Science
Year
1999
Institution
Georgia Institute of Technology
Location
Atlanta, GA
Statement of Research Interests:

My research focuses on adaptive, human-centered AI systems that personalize learning and assessment at scale. In my recent work on generative AI–driven education, I design platforms that use fine-grained skill modeling and real-time feedback loops to transform static AI-generated content into mastery-based learning pathways. This work builds on my broader background in data mining, social sensing, multilingual information extraction, and adaptive machine learning, with the overarching goal of developing scalable AI systems that integrate diverse data sources and adapt to users to support effective learning and decision-making.

Statement of Teaching Interests:

Teaching interests focus on student-centered, practice-driven computer science education that emphasizes real-world problem solving, independent thinking, and clear technical communication. Instructional approaches highlight live coding, applied projects, and modern technologies to connect theory with practice while explaining the underlying motivation behind core concepts.

Selection of recent research, scholarly, and creative activities:

Journal Publications

Brian Britt, Jameson Hayes, Aibek Musaev, et al. Using targeted betweenness centrality to identify bridges to neglected users in the Twitter conversation on veteran suicide. Social Network Analysis and Mining 11, 40 (2021)

Praveena Penmetsa, Pezhman Sheinidashtegol, AibekMusaev, et al. Effects of the autonomous vehicle crashes on public perception of the technology. IATSS Research Volume 45, Issue 4, December 2021, Pages 485-492.

Calton Pu, Abhijit  Suprem, Rodrigo Alves Lima, Aibek  Musaev, De  Wang, Danesh Irani, Steve B Webb, João Eduardo Ferreira. Beyond Artificial Reality: Finding and Monitoring Live Events from Social Sensors. ACM Transactions on Internet Technology (TOIT), Article No. 2, March 2020.

Pezhman Sheinidashtegol, Aibek Musaev. Learning Cross-Lingual Word Embeddings With Universal Concepts. International Journal on Web Service Computing (IJWSC), Vol: 10, Issue: 3, 2019.

Aibek Musaev, Pezhman Sheinidashtegol, Elizabeth Conrad, Shamkant B. Navathe. Mining Twitter Data for Landslide Events Reported Worldwide. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), Vol: 10, Issue: 4, 2018.

Aibek Musaev, De Wang, Calton Pu. LITMUS: a Multi-Service Composition System for Landslide Detection. IEEE Transactions on Services Computing, Vol: 8, Issue: 5, September/October 2015. Impact Factor 3.049.

 

Conference Proceedings

Aibek Musaev, Kerimbek Musaev, Mirbek Dzhumaliev, Calton Pu. Adaptive Skill-Mastery Feedback Loops in AI-Generated Courses. In Proc. of the 2026 Technical Symposium on Computer Science Education (SIGCSE TS), St. Louis, MO, February 18 – 21, 2026.

Mirbek Dzhumaliev, Aibek Musaev, Calton Pu. Leveraging Generative AI for Personalized Learning Experiences. In Proc. of the 2025 Technical Symposium on Computer Science Education (SIGCSE TS), Pittsburgh, PA, February 26 – March 1, 2025.

Calton Pu, Abhijit Suprem, Aibek Musaev, Joao Eduardo Ferreira. Evolution of Knowledge in Social Media and Their Relationship to an Evolving Real World. In Proc. of the Fifth IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2023), Atlanta, GA, USA, November 1-3, 2023.

Aibek Musaev, Rebecca Britt, Jameson Hayes, Brian Britt, Jessica Maddox, Pezhman Sheinidashtegol. Study of Twitter communications on cardiovascular disease by state health departments. In Proc. of the 2019 International Conference on Web Services (ICWS 2019), San Diego, CA, USA, June 25-30, 2019.

Pezhman Sheinidashtegol, Aibek Musaev, Travis Atkison. Investigating Personally Identifiable Information Posted on Twitter Before and After Disasters. In Proc. of the 2019 World Congress on Services (Services 2019), San Diego, CA, USA, June 25-30, 2019.

Chen Wang, Aibek Musaev, Pezhman Sheinidashtegol, Travis Atkison. Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras. In Proc. of the 2019 International Congress on Big Data (BigData Congress 2019), San Diego, CA, USA, June 25-30, 2019.

Abhijit Suprem, Calton Pu, Aibek Musaev. Concept Drift Adaptive Physical Event Detection for Social Media Streams. In Proc. of the 2019 World Congress on Services (Services 2019), San Diego, CA, USA, June 25-30, 2019. Best Student Paper Award.

Aibek Musaev, Zhe Jiang, Steven Jones, Pezhman Sheinidashtegol, and Mirbek Dzhumaliev. Detection of Damage and Failure Events of Road Infrastructure Using Social Media. In Proc. of the 25th IEEE International Conference on Web Services (ICWS), Seattle, June 2018.

Aibek Musaev, Jonghun Kam, Kimberly Stowers. Harnessing Data to Create an Effective Drought Management System. In Proc. of the 15th Intl. Conf. on Information Systems for Crisis Response and Management (ISCRAM), Rochester, May 2018.

Songhui Yue, Jyothsna Kondari, Aibek Musaev, Songqing Yue, Randy Smith. Using Twitter Data to Determine Hurricane Category: An Experiment. In Proc. of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Rochester, May 2018.

Vidya Nakade, Aibek Musaev, Travis Atkison. Preliminary Research on Thesaurus-Based Query Expansion for Twitter Data Extraction. In Proc. of the Annual ACM Southeast Conference (ACMSE), Richmond, March 2018.

Qixuan Hou, Aibek Musaev, Yang Yang, Calton Pu. A Comparative Study of Increasing Automation in the Integration of Multilingual Social Media Information. In Proc. of the 3rd IEEE International Conference on Collaboration and Internet Computing (CIC), San Jose, October 2017.

Aibek Musaev, Qixuan Hou, Yang, Yang, Calton Pu. LITMUS: Towards Multilingual Reporting of Landslides. In Proc. of the 37th IEEE International Conference on Distributed Computing (ICDCS), Atlanta, GA, USA, June 5-8, 2017.

Aibek Musaev, Calton Pu. Towards Multilingual Automated Classification Systems. The 37th IEEE International Conference on Distributed Computing (ICDCS), Atlanta, June 2017.

Aibek Musaev, De Wang, Jiateng Xie, Calton Pu. REX: Rapid Ensemble Classification System for Landslide Detection using Social Media. In Proc. of the 37th IEEE International Conference on Distributed Computing (ICDCS), Atlanta, June 2017.

Aibek Musaev, Calton Pu. Landslide Information Service based on Composition of Physical and Social Sensors. 2017 International Conference on Data Engineering (ICDE), San Diego, April 2017.

Aibek Musaev, Qixuan Hou. Gathering high quality information on landslides from Twitter by relevance ranking of users and tweets. In Proc. of the 2nd IEEE International Conference on Collaboration and Internet Computing (CIC), Pittsburgh, November 2016. Best Paper Award.

De Wang, Aibek Musaev, Calton Pu. Information Diffusion Analysis of Rumor Dynamics over a Social-interaction based Model. In Proc. of the 2nd IEEE International Conference on Collaboration and Internet Computing, Pittsburgh, November 2016.

Iris Tien, Aibek Musaev, David Benas, Ameya Ghadi, Seymour Goodman, Calton Pu. Detection of Damage and Failure Events of Critical Public Infrastructure Using Social Sensor Big Data. In Proc. of the International Conference on Internet of Things and Big Data (IoTBD), Rome, Italy, April 2016.

Aibek Musaev, De Wang, Saajan Shridhar, Calton Pu. Fast Text Classification Using Randomized Explicit Semantic Analysis. In Proc. of the 16th IEEE International Conference on Information Reuse and Integration (IRI), San Francisco, August 2015.

Aibek Musaev, De Wang, Saajan Shridhar, Chien-An Lai, Calton Pu. Toward a Real-time Service for Landslide Detection: Augmented Explicit Semantic Analysis and Clustering Composition Approaches. In Proc. of the 22nd IEEE International Conference on Web Services (ICWS), New York, June 2015.

Chien-An Lai, Jim Donahue, Aibek Musaev, Calton Pu. Nimbus: Tuning Filters Service on Tweet Streams. In Proc. of the 4th IEEE International Congress on BigData (BigData Congress), New York, June 2015.

Aibek Musaev, De Wang, Chien-An Cho, Calton Pu. Landslide Detection Service Based on Composition of Physical and Social Information Services. In Proc. of the 21st IEEE International Conference on Web Services (ICWS), Alaska, June 2014.

Aibek Musaev, De Wang, Calton Pu. LITMUS: Landslide Detection by Integrating Multiple Sources. In Proc. of the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Penn State, University Park, May 2014.