Fahim Anzum
I am a fourth-year Computer Science Ph.D. candidate and an Alberta Innovates Doctoral Scholar at the University of Calgary, Alberta, Canada. My advisor is Professor Dr. Marina L Gavrilova and we are at the Biometric Technologies Laboratory (BT Lab).
My research is driven by the vision of harnessing users' dynamic behavioral and psychological traits from online social media to build Trustworthy and Explainable AI (TXAI) frameworks, enabling user-centered decision support and human-machine collaboration. I have pioneered novel approaches that fuse interpretable handcrafted features with large language model (LLM)-driven contextual representations, achieving state-of-the-art precision in analyzing social behaviors through emotion detection in social media. Additionally, I have developed an LLM-based social media mining strategy that uncovers Canadians' trust perceptions in healthcare, offering actionable insights for medical institutions. My interdisciplinary research extends to TXAI frameworks for mental health interventions and personalized policy recommendations, bridging AI, psychology, and human-computer interaction. At the BT Lab, I have spearheaded initiatives to embed user trust factors into AI algorithms, prioritizing fairness, transparency, and equity. See my Research Statement and Publications for more details.
My research contributions have been recognized in high-impact Computer Science and transdisciplinary venues, including IEEE Access, Springer Nature, IEEE Cyberworlds, and IEEE Human-Machine Systems. My recent work on a bi-modal architecture for interpretable emotion detection earned the Best Paper Award at the 2024 IEEE International Conference on Human-Machine Systems (ICHMS), highlighting its contribution to advancing Trustworthy Human-Machine Teaming for Effective Decision-Making.
- Winter 2025: Serving as a Head TA for CPSC 319 (Data Structures, Algorithms, and their Applications) course.
- My paper EmoBlend Fusion: Leveraging Handcrafted and Deep Features for Emotion Detection, received the "Best Paper Award" in 2024 IEEE ICHMS.
- Fall 2023: Conducting CPSC 231 as a course instructor at UofC!
- Attended ACM DIS 2023 as a student volunteer.
- Successfully defended my Ph.D. candidacy on April 25, 2023!
- Our paper received Best Paper Award at IEEE ICCI*CC 2022.
- My paper accepted at IEEE CW 2022.
- Attending CHI 2022.
- Received the Alberta Innovates Graduate Student Scholarship.
- Started Ph.D. in Computer Science at the University of Calgary on September 1, 2021!
- Successfully defended my MSc thesis on August 17, 2021!
- Received Eyes High International Doctoral Recruitment Scholarship.
- Joined the BT Lab as a Ph.D. student on September 2021!
Education
University of Calgary
University of Calgary
CGPA: 4.00/ 4.00
Master's Thesis: Exploring Convolutional Neural Networks and Transfer Learning for Oil Sands Drill Core Image Analysis. [Uri]
Military Institute of Science and Technology
CGPA: 3.79/ 4.00
Undergrad Thesis: A New Algorithm to Compute Single Source Shortest Path
in a Real Edge Weighted Graph to Optimize Time Complexity.
[IEEE Link]
Selected Publications
Please refer to my Scholar page for a full list with citations.
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F. Anzum and M. L. Gavrilova, "EmoBlend Fusion: Leveraging Handcrafted and Deep Features for Emotion Detection," in 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS), Toronto, ON, Canada, 2024, pp. 1-6, doi: 10.1109/ICHMS59971.2024.10555818. [Best Paper Award] [IEEE Xplore Link]
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Z. Wahid, A. H. Bari, F. Anzum and M. L. Gavrilova, "Human Micro-Expression: A Novel Social Behavioral Biometric for Person Identification," in IEEE Access, doi: 10.1109/ACCESS.2023.3283932. [IEEE Xplore Link]
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F. Anzum and M. L. Gavrilova, "Emotion Detection From Micro-Blogs Using Novel Input Representation," in IEEE Access, vol. 11, pp. 19512-19522, 2023, doi: 10.1109/ACCESS.2023.3248506. [IEEE Xplore Link]
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K. De Chastelain Finnigan, F. Anzum, J. Rokne and M. L. Gavrilova, "Weighted Lexicon-based Sentiment Analysis for Women Career Traits in Information Technology," 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Toronto, ON, Canada, 2022, pp. 91-98, doi: 10.1109/ICCICC57084.2022.10101520. [Best Paper Award] [IEEE Xplore Link]
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Anzum, F., Asha, A. Z., & Gavrilova, M. L. (2022, September). Biases, Fairness, and Implications of Using AI in Social Media Data Mining. In 2022 International Conference on Cyberworlds (CW) (pp. 251-254). IEEE. [IEEE Xplore Link]
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Asha, A.Z., Anzum, F., Finn, P., Sharlin, E. and Costa Sousa, M., 2020, September. Designing External Automotive Displays: VR Prototypes and Analysis. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 74-82). [ACM DL link]
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F. Anzum, A.Z. Asha, L. Dey, A. Gavrilov, F. Iffat, AQ. Ohi, L. Pond, M. Shopon, and M. L. Gavrilova (2024), "A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media," in IGI Global: A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media.
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Gavrilova, M. L., Anzum, F., Hossain Bari, A. S. M., Bhatia, Y., Iffath, F., Ohi, Q., ... & Wahid, Z. (2022). A Multifaceted Role of Biometrics in Online Security, Privacy, and Trustworthy Decision Making. In Breakthroughs in Digital Biometrics and Forensics (pp. 303-324). Springer, Cham.
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F. Anzum, H. Hamdi, U. Alim, and M. Costa Sousa "Exploring Convolutional Neural Networks and Machine Learning for Oil Sands Drill Core Image Analysis," in Third EAGE Digitalization Conference and Exhibition, vol. 2023, pp. 1-5, 2023. [EarthDoc Online Geoscience Database Link]
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F. Dehghani, M. Dibaji, F. Anzum ..., M. L. Gavrilova, and M. Bento "Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems," [Link]
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F. Anzum, and M. L. Gavrilova "EmoBlend Fusion: Towards Trustworthy Human-Machine Teaming through Enhanced Emotion Detection in Microblogs.," in IEEE Transactions on Human Machine Systems, 2025.
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L. Dey, F. Anzum, U. Charles-Rodriguez, A. H. Bari, J. C. Boucher, A. Bharwani, and M. L. Gavrilova "A Digital Lighthouse: Exploring Health Concerns and Public Trust Using LLM-Driven Opinion Mining from Canadian Reddit Communities" in PLOS One, 2025.
Experience
Sessional Instrutor
- CPSC 231: Introduction to Computer Science for Computer Science Majors - I
Graduate Research Intern
Graudate Assistant - Teaching
- CPSC 319: Data Structures, Algorithms and Their Application
- Data 604: Working with Data at Scale
- CPSC 217: Introduction to Computer Science and Multidisciplinary Studies - I
- DATA 201: Thinking with Data
Lecturer
- CSI 421: Computer Graphics
- CSI 422: Computer Graphics Laboratory
Lecturer
- CSE 427: Graph Theory
- CSE 428: Graph Theory Laboratory
- CSE 323: Software Engineering
- CSE 107: Introduction to Computers
- CSE 110: Computer Fundamentals Laboratory
- CSE 211: Discrete Mathematics
- CSE 415: Computer Networks
Awards
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Academic Achievements:
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2021 Alberta Innovates Graduate Student Scholarship
- Organization: Alberta Innovates, Faculty of Graduate Studies, University of Calgary
- Year: 2021-2025
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Eyes High International Doctoral Recruitment Scholarship
- Organization: Faculty of Graduate Studies, University of Calgary
- Year: 2021-2025
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International Graduate Tuition Award
- Organization: Faculty of Graduate Studies, University of Calgary
- Year: 2021-2025
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Department Research Award
- Organization: University of Calgary
- Academic Session: 2020-21
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Mitacs-Accelerate Graduate Research Internship
- Academic Institute: University of Calgary
- Industrial Sponsor: Suncor Energy Inc.
- Academic Session: 2019-20, 2020-21
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International Graduate Recruitment Award
- Organization: University of Calgary
- Academic Session: 2019-20
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Visa Differential Scholarship
- Organization: University of Calgary
- Academic Session: 2019
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MIST Commandant's List Award
- Organization: Military Institute of Science and Technology
- Academic Sessions: 2015-16, 2016-17
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Higher Secondary Certificate Scholarship
- Organization: Ministry of Education, Education Board, Dhaka, Bangladesh
- Academic Session: 2012
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Junior School Certificate Scholarship
- Organization: Ministry of Education, Education Board, Dhaka, Bangladesh
- Academic Session: 2008
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2021 Alberta Innovates Graduate Student Scholarship
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Extra-curricular Activites:
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21st International Conference on Computer and Information Technology (ICCIT)
- Role: Organizer
- Organization: United International University
- Year: 2018
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International Telco Warfare
- Achievement: Champion
- Event: Net War
- Organization: East West University, Dhaka, Bangladesh
- Year: 2017
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IUT CSE Fest
- Achievement: Runner Up
- Event: App Development
- Organization: Islamic University of Technology, Bangladesh
- Year: 2017
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SUST CSE Carnival
- Achievement: Second Runner Up
- Event: Hackathon
- Organization: Shahjalal University of Science and Technology, Bangladesh
- Year: 2017
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National Symposium on "Chemical Weapons Convention for the Peaceful Use of Chemistry"
- Achievement: Winner
- Event: Poster Presentation
- Year: 2017
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21st International Conference on Computer and Information Technology (ICCIT)
Certifications
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Issuing Organization: Coursera
- Issue Date: April 20, 2020
- Credential ID: 6EK8CMWJWPGE

Python for Data Science and Machine Learning Bootcamp
- Issuing Organization: Udemy
- Issue Date: April 17, 2020
- Credential ID: UC-685f6e72-e398-462d-9cdf-666adbd78b9b

Contact
University of Calgary
The Biometric Technologies Lab (BT Lab), ICT 717
Calgary, Alberta, Canada T2N 1N4
Personal Email: anzumbivor [at] gmail [dot] com
Phone: +1-(587)-969-9923
