Umme Zakia

Umme Zakia

Title
Assistant Professor
Department
Computer Science
Campus
Vancouver
Area(s) of Expertise
Communication Networks, Network security, Data center networks, Software-defined networks, Novelty and Anomaly detection, Machine learning and deep learning Algorithms
Education Credentials
Ph.D.
Joined New York Tech
2022

Umme Zakia obtained her B.S.c. in Electronics and Computer Science in 2001 and M.S.c. in Computer Science and Engineering in 2007 from Jahangirnagar University and North South University, Bangladesh, respectively. She received her Ph.D. in Engineering Science in 2022 from Simon Fraser University, B.C., Canada. She was a recipient of several internal and external awards during her doctoral program.

Zakia is an assistant professor of computer science at New York Tech's Vancouver campus. She joined the M.S. in cybersecurity program in 2022 and has admirable teaching experiences at both undergrad and grad levels. In her more than decade-long teaching practices at universities, Zakia has taught computer science, communication network, and cybersecurity courses. She has supervised many student projects (both industrial and academic projects) and has been involved in curricular and extra-curricular activities. Zakia is passionate about teaching and knowledge sharing to enlighten students for their educational and personal enhancements. She is respectful, and cooperative and engages students in innovative and challenging tasks.

Zakia has published some excellent research works in peer-reviewed conferences and journals. She has also served as a reviewer for many IEEE journals and conferences and as a member of the editorial board of Neurorobotics, Frontiers. Her research interests include machine learning (ML), artificial intelligence (AI), software-defined networks (SDN), cybersecurity, and anomaly detection.

Recent Projects and Research

  • Traffic data analysis for anomaly detection, penetration testing

Selected Publications

Significant publications of last five years:

  1. U. Zakia, and C. Menon, "Detecting Safety Anomalies in pHRI Activities via Force Myography," Bioengineering, vol.10, no. 3: 326, 2023.
  2. U. Zakia, A. Barua, X. Jiang, and C. Menon, "Unsupervised, Semi-Supervised Interactive Force Estimations During pHRI via Generated Synthetic Force Myography Signals," IEEE Access, vol. 10, pp. 69910–69921, 2022, doi: 10.1109/ACCESS.2022.3187115.
  3. U. Zakia and C. Menon, "Human Robot Collaboration in 3D via Force Myography based Interactive Force Estimations using Cross-Domain Generalization," in IEEE Access, doi: 10.1109/ACCESS.2022.3164103.
  4. U. Zakia, and C. Menon, "Force Myography-Based Human Robot Interactions via Deep Domain Adaptation and Generalization," Sensors, vol. 22, no. 1, pp. 211, 2022, doi:10.3390/s22010211.
  5. U. Zakia, and C. Menon, "Toward Long-Term FMG Model-Based Estimation of Applied Hand Force in Dynamic Motion During Human–Robot Interactions," IEEE Transactions on Human-Machine Systems, vol. 51, no. 4, pp. 310–323, 2021.
  6. U. Zakia, X. Jiang and C. Menon, "Deep learning technique in recognizing hand grasps using FMG signals," in Proc. 11th IEEE Annual Information Technology, Electronics and Mobile Commun. Conference, Vancouver, Canada, Nov. 2020.
  7. Samiha B. Haasan, Sumaiya B. Haasan, and Umme Zakia, "Recognizing suicidal intent in depressed population using NLP: a pilot study," in Proc. 11th IEEE Annual Information Technology, Electronics and Mobile Commun. Conference, Vancouver, Canada, Nov. 2020.
  8. H. B. Yedder, U. Zakia, A. Ahmed, and Lj. Trajkovic, "Modeling Prediction in Recommender Systems using Restricted Boltzmann Machine, " IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada, Oct. 2017. doi: 10.1109/SMC.2017.8122923.
  9. U. Zakia and C. Menon, "Estimating Exerted Hand Force via Force Myography to Interact with a Biaxial Stage in Real-Time by Learning Human Intentions: A Preliminary Investigation," Sensors, vol. 20, no. 7, (22pp), Apr. 2020.
  10. A. Barua, U. Zakia, C. Menon and X. Jiang, "Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs," IEEE Access, June 2021.
  11. T. Hoque, R. Rab, K. R. Jani Alam, S. H. Khan, M. A. W. Shuvro and U. Zakia, "Empirical Study on Personality Trait Classification by Food Related Preferences," in Proc. International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox's Bazar, Bangladesh, Feb. 2019.
  12. U. Zakia, M. Moallem and C. Menon, "PID-SMC controller for a 2-DOF planar robot," in Proc. IEEE ECCE conference, Cox's Bazar, Bangladesh, Feb. 2019.
  13. U. Zakia and H. B. Yedder, "Dynamic Load Balancing in SDN-Based Data Center Networks," in Proc. 8th Annual Information Technology, Electronics and Mobile Commun. Conference, Vancouver, Canada, Oct. 2017.

Professional Honors and Awards

  1. Graduate fellowship (GF) scholarships from SFU and Faculty of Applied Science (GF-FAS), SFU, Canada
  2. Helmut and Hugo Eppich Family Graduate Scholarships, Canada
  3. The Century 21 Charlwood Family Graduate Scholarship, Canada
  4. Undergraduate Scholarship, JU, Bangladesh
  5. Higher Secondary Scholarship, Dhaka board, Bangladesh
  6. Grade 8 Scholarship, Dhaka board, Bangladesh

Courses Taught at New York Tech

  • CSCI 507 Data Structures
  • CSCI 620 Operating System Security
  • INCS 870 Project I

Contact Info