Dr. Mohaira Ahmad SMS - BNU

Dr. Mohaira Ahmad

Researcher & Academic

Assistant Professor

School of Management Sciences (SMS)

Dr. Mohaira Ahmad, Assistant Professor at BNU’s School of Management Sciences, specializes in AI, Machine Learning, Data Science, and Computational Electromagnetics. With academic experience at NUST and industry leadership as CTO at Data Animis, she blends research, innovation, and teaching to mentor future leaders while advancing impactful, grant-funded AI-driven project

Bio

Dr. Mohaira Ahmad is an Assistant Professor at the Department of Management Sciences, School of Management Sciences, Beaconhouse National University (BNU). With an extensive background that bridges academia, research, and industry, she brings to BNU a rich expertise in Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Computational Electromagnetics. Her academic career includes teaching at some of Pakistan’s most prestigious institutions, including NUST, where she has taught and developed advanced courses in AI, programming fundamentals, and data-driven technologies, while also leading curriculum design in line with Outcome-Based Education (OBE).

Alongside her academic contributions, Dr. Ahmad has held a distinguished role in the tech industry as the Chief Technology Officer (CTO) at Data Animis, where she spearheaded AI-driven product development in analytics, predictive modeling, and automation. Her leadership in technical innovation has involved close collaboration with cross-disciplinary teams, academia, and industry partners to design impactful solutions for real-world challenges. This unique blend of academic rigor and industry leadership allows her to mentor students at the intersection of research and applied technology.

Dr. Ahmad’s research portfolio is both diverse and impactful. She has published widely in international journals of repute, including IEEE Access, Physica Scripta, Science of the Total Environment, and IEEE Microwave Magazine. Her funded projects span domains such as AI-driven computational electromagnetics, radar signal processing, RF technologies, and biomedical engineering applications, securing competitive research grants worth millions of PKR. She is also an active reviewer for high-impact journals and continues to supervise graduate and doctoral students in cutting-edge areas of AI and engineering.

At BNU, Dr. Ahmad is committed to nurturing future leaders in management and technology by blending her strong technical background with managerial insights. Her teaching philosophy emphasizes bridging theory with practice, preparing students to thrive in a rapidly evolving digital economy. With her deep expertise in AI, data science, and innovation management, she plays a pivotal role in strengthening BNU’s vision of producing graduates who are not only academically strong but also industry-ready and socially impactful.

Academics

  • PhD in Computer Applied Technology, Jiangsu University, Zhenjiang, China
  • MS in Electrical Engineering, NUST, Islamabad, Pakistan
  • B.E Electrical (Telecom) Engineering, NUST, Islamabad, Pakistan

Experience

  • Assistant Professor, School of Management Sciences, Beaconhouse National University (BNU) (Present)
  • Chief Technology Officer (CTO), Data Animis, Islamabad (2021–2025)
  • Assistant Professor NUST, Islamabad (2019–2025)
  • Research Engineer, NRTC, Haripur (2010–2012)

Research Grants Recieved

  • Research Title: Development of efficient de-interleaving and tracking algorithm for threat processing of radar signals.
    Funds: 2.932 Mil PKR
  • Research Title: Graphene Integrated Microwave Photonics and their applications.
    Funds: 0.5 Mil PKR
  • Research Title: RF based system for bone health analysis
    Funds: 0.9 PKR Million

Projects

  • Price prediction model using ML techniques
  • Recommendation system using synthesized financial news for stock market
  • Driver Behavior Analysis for Safety Enhancement
  • Enhancing Visual Language Models through Continual Learning
  • Hand Writing Forgery Detection
  • AI-based target detection for modern Radar Systems
  • Fracture analysis of Bone models using micro strip patch antennas
  • Graphene based RIS for THz wireless communication
  • NDC Funded Project: Design and Implementation of an SDR Platform for Surveillance Applications
  • NRTC Project: Design and development of complete PABX
  • NRTC Project: Design and development of RFID Tracking system
  • NDC Project: Design and hardware implementation of SONAR and its Applications in MATLAB

Publications

  • Ahmad, F., Ahmad, M., Hayat, F., ud Din, S., Adnan, M., & Amin, A. A. (2025). Modified triple modular redundancy based fault-tolerant three-phase matrix converter design with AI driven diagnostic capabilities. Results in Engineering, 25, 104454. Impact factor 6.0
  • Liaqat, M., Adnan, M., Ahmad, M., Iqbal, M.S., Ahmad, F. and Ud Din, S. (2024). Hybrid Multi-Criteria Decision Framework for Prosumers Energy Storage Systems in Smart Grids. IEEE Access. Impact factor 3.4
  • Rehman, S.U., Alkanhal, M.A., Ahmad, M., Malik, W.A., Abdulkawi, W.M., Salim, A. and Sheta, A.F.A. (2024). Mathematical modeling development and synthesis of tapered transmission line resonators and filters. Physica Scripta, 100(1), p.015511. Impact factor 2.9
  • Saghir, A., Ahmad, M., Nabeel, M. I., Hameed, H., & Khan, M. (2024). What’s the Hesitation? [Women in Microwaves]. IEEE Microwave Magazine, 25(11), 89-91.
  • Ghumman, A. S. M., Shamsuddin, R., Abbasi, A., Ahmad, M., Yoshida, Y., Sami, A., & Almohamadi, H. (2024). The predictive machine learning model of a hydrated inverse vulcanized copolymer for effective mercury sequestration from wastewater. Science of the Total Environment, 908, 168034. Impact factor 8.2
  • Saghir, A., Renga, F., Ciociola, C., Ruberti, V., & Ahmad, M. (2024). Reconstructing RF and Microwaves Through Tech-Toys and Games [Educator's Corner]. IEEE Microwave Magazine, 25(11), 96-99.
  • Waqas, M., Rehman, S. U., Ahmad, M., Malik, W. A., Gul, H. Z., Abdulkawi, W. M., & Alkanhal, M. A. (2023). A simple and modular quasi stepped impedance resonator based reconfigurable bandpass filter for 5G applications. Physica Scripta, 99(1), 015517. Impact factor 2.9
  • Ahmad, M. (2023). The Last but Not the Least [Women in Microwaves]. IEEE Microwave Magazine, 24(6), 104-106.
  • Ahmad, M, Yang, L. & Anjum, R. (2022). Implementation of the convolutional perfectly matched layer (CPML) in the face-centered cubic (FCC) FDTD method. Waves in Random and Complex Media: 1-12. Impact factor 4.853
  • Khan, M. A., Noor, F., Ullah, I., Rehman, S., Nisar, S., Ahmad, M. (2021). An Efficient Medium Access Control Mechanism for Flying Ad-hoc Networks. Computer Systems, Science and Engineering, 38(1), 47-63. Impact factor 0.278
  • Ahmad, M., & Yang, L. (2017). Laplace transform current density convolution finite-difference time-domain formulation for the modelling of 1D graphene. IET Microwaves, Antennas & Propagation, 11(15), 2211-2218. Impact factor 2.03

Conference Papers

  • Ahmed, A., Ahmad, M., Rehman, S. U., & Yang, L. (2024, October). Graphene based RIS for THz Wireless Communication. In 2024 14th International Symposium on Antennas, Propagation and EM Theory (ISAPE) (pp. 1-4). IEEE.
  • Gulzar, A., Ahmad, M., & Yang, L. (2024, October). Design of a Graphene-Based Hexagonal Circular Patch Yagi-Uda MIMO Antenna. In 2024 14th International Symposium on Antennas, Propagation and EM Theory (ISAPE) (pp. 1-4). IEEE.
  • Hassan, A. G., Zulqarnain, A., Shafi, M. D., Nadeem, A., Shoaib, S., Shoaib, I., ... & Shoaib, N. (2024, March). Multifunctional Linear Dichroism and Polarization Transforming Metasurface for mm-Wave Application. In 2024 18th European Conference on Antennas and Propagation (EuCAP) (pp. 1-4). IEEE.
  • Rehman, S. U., Ahmad, M., Malik, W. A., Adil, A., & Sulaiman, R. (2021, December). Lumped Element Circuit Model of Resonant Antennas Using Singularity Expansion Method. In 2021 1st International Conference on Microwave, Antennas & Circuits (ICMAC) (pp. 1-4). IEEE.
  • Ahmad, M., & Yang, L. (2016, October). Modeling of 1D graphene based on LTJEC-FDTD method. In 2016 11th International Symposium on Antennas, Propagation and EM Theory (ISAPE) (pp. 550-553). IEEE.
  • Ahmad, M., Yang, L., & Shi, L. (2018, March). Graphene Based Absorber Using LTJEC FDTD. In 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) (pp. 1-3). IEEE.
  • Liu, K., Ahmad, M., Shi, L., & Yang, L. (2018, December). CPML Implementation for FCC-FDTD Method. In 2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE) (pp. 1-3). IEEE.

Publication Under Review

Machine Learning Driven Multi Criteria Decision-Making Approach for Optimization of Racing Cars Using Intuitionistic Fuzzy Sets [Under Revision in PLOS ONE]

Editorial/Reviewer Contributions

Reviewer in journals: Results in Engineering, IET MAP, Waves in random and complex media, Electronics Letters.

Research Supervisions

  • MS Students Graduated: 6
  • PhD Students under Supervision: 1
  • MS Students under Supervision: 1

Contact

  • Email Address: mohaira.ahmad@bnu.edu.pk
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