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Our Team

Lab Director

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Dr. Marina Gavrilova

Lab Director

Prof. Gavrilova holds Full Professor with Tenure appointment at the Department of Computer Science, University of Calgary. Prof. Gavrilova's research interests are situated in the areas of artificial intelligence, biometric recognition, privacy, cybersecurity, information fusion, pattern recognition, trustworthy decision-making and their real-world applications.

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Our Lab Culture

Excellence

We strive for excellence in research, teaching, and service.

Diversity

We uphold our core values, rooted in unwavering commitment to diversity.

 

Transparency

We share our achievements openly, both in a formal and an informal setting, with our collaborators, colleagues and public.

Equity

We uphold principles of equity to support everyone equally in realizing their goals and aspirations.

Integrity

We communicate and find solutions in a collegial and respectful manner.

Trust

We build and maintain our relationships based on mutual trust and respect.

Inclusiveness

We include everyone into discussion and collegial decisions on paper submissions, outreach events and student engagements.

Respect

We treat each other with kindness and consideration.

Transparency

We make our decision processes open, including award nominations, knowledge dissemination, and professional training.

Accessibility

We make sure everyone in the lab has equal access to resources, both internal and external.

Safety

We ensure safe and healthy working environment that promotes physical and mental health.

Outreach

We share our discoveries and best practices with our colleagues, stakeholders and public in an open and transparent manner.

Current Team Members

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Fahim Anzum

PhD Student

Research Interest: Trustworthy AI, Social biometrics, Machine learning

Thesis title: Towards Developing Trust-Aware Recommender Systems by Leveraging Users’ Affective Traits and Trust Scores

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Md Shopon

PhD Student

Research Interest: De-identification, Deep learning, Gait recognition

Thesis title: Empowering Privacy in the Digital Age: A Comprehensive Framework for Ethical Facial De-identification 

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Fariha Iffath

MSc Student

Research Interest: Deep learning, Feature fusion, Transfer learning

Thesis title: Multi-modal Aesthetic Based Person Identification using Deep Neural Networks

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Lily Dey

MSc Student

Research Interest: Trustworthy AI, Machine learning 

Thesis title: The Role of User Engagement in Content Trust: Insights from Social Media Platforms

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Mahmudul Haque

MSc Student

Research Interest: Computer Vision, Deep Learning

Thesis title: T.B.D

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Alumni

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Quwsar Ohi

Graduation year: Summer 2024

Degree: M.Sc

Thesis title: Self-supervised Representation Learning Model for an Open-Set Speaker Recognition

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Zaman Wahid

Graduation year: Spring 2023

Degree: M.Sc

Thesis title: Decoding Identity Through Text-based Human Micro-expressions: A Novel Approach in Social Behavioral Biometrics

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Brandon Sieu

Graduation year: Summer 2021

Degree: M.Sc

Thesis title: Person Identification From Audio and Visual Aesthetics

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Tanuja Sudhakar

Graduation year: Fall 2020

Degree: M.Sc

Thesis title: Cancelable Biometric System Based on Deep Learning

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Dr. Madeena Sultana

Graduation year: Winter 2018

Degree: PhD

Thesis title: : Multimodal Person Recognition using Social Behavioral Biometric

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Fatema Tuz Zohra 

Graduation year: Fall 2017

Degree: M.Sc

Thesis title: Quality-Based Face Recognition System

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Hossein Talebi

Graduation year: Fall 2015

Degree: M.Sc

Thesis title: Confidence-Based Rank Level Fusion For Multimodal Biometric Systems

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Mahmudul Hasan

Graduation year: Fall 2009

Degree: M.Sc

Thesis title: Clearance-Based Path Optimization and Collision Detection

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 Luo Yuan

Graduation year: Fall 2006

Degree: M.Sc

Thesis title: Facial Model Metamorphosis using Geometrical Methods

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Dr. Maruf Monwar

Graduation year: Fall 2012

Degree: PhD

Thesis title: A multimodal biometric system based on rank level fusion

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Yajurv Bhatia

Graduation year: Winter 2022

Degree: M.Sc

Thesis title: Bi-Modal Deep Neural Network for Gait Emotion Recognition,

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Pavan Karkekoppa Kumar

Graduation year: Spring 2021

Degree: M.Sc

Thesis title: Social Behavioral Biometrics using Personality Traits-aware Tweet Embedding

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Dr. Mohsen Tabejamaat

Graduation year: Spring2020

Degree: PhD

Thesis title: Biometric Palmprint Recognition

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Wasiur Rahman

Graduation year: Winter 2018

Degree: M.Sc

Thesis title: Emerging Behavioral and Multi-Modal Biometric Approaches

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Dr. Padma Polash Paul

Graduation year: Summer 2016

Degree: PhD

Thesis title: Multimodal Cancelable Biometric System

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Shermin Bazazian

Graduation year: Fall 2012

Degree: M.Sc

Thesis title: Context-based gait recognition

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Xin Liu

Graduation year: Fall 2009

Degree: M.Sc

Thesis title: High-Quality Visual Hull Reconstruction based on Surface Sampling and DT

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Chengfeng Wang

Graduation year: Fall 2005

Degree: M.Sc

Thesis title: Computational geometry methods in fingerprint identification

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Sanjida Nasreen Tumpa

Graduation year: Winter 2022

Degree: M.Sc

Thesis title: Online User Recognition using Social Behavioral Biometric System

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A S M Hossain Bari

Graduation year: Fall 2020

Degree: M.Sc

Thesis title: Kinect-based Gait Recognition Using Deep Learning

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Ferdous Ahmed

Graduation year: Summer 2019

Degree: M.Sc

Thesis title: Recognizing human emotional states from body movement

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Samiul Azam

Graduation year: Summer 2017

Degree: M.Sc

Thesis title: Visual Aesthetics for Person Identification and Gender Recognition

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Faisal Ahmed

Graduation year: Fall 2016

Degree: M.Sc

Thesis title: Model-Based Gait and Action Recognition Using Kinect

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Shikha Nayya

Graduation year: Fall 2011

Degree: M.Sc

Thesis title: RTLS Spatial-temporal Data Analysis

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Priyadarshi Bhattacharya

Graduation year: Fall 2015

Degree: PhD

Thesis title: Efficient Image Matching using Regions of Interest

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Dr. Kushan Ahmadian

Graduation year: Fall 2012

Degree: PhD

Thesis title: Neural Networks for Biometric Recognition

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Dr. Russel Apu

Graduation year: Fall 2009

Degree: PhD

Thesis title: Robust shape representation and analysis using CART

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