Mrs. Sundas Faisal | AI and optics | Best Researcher Award

PhD Doctoral school student at Silesian University of Technology, Poland

Sundas Faisal is a dedicated researcher and academic currently pursuing her Ph.D. in Computer Science at the Silesian University of Technology in Poland, where she is working under the supervision of Prof. Dr. hab. inż. Krzysztof Cyran. With a strong command over artificial intelligence, quantum computing, and neural networks, her work is anchored in solving real-life problems using cutting-edge computational models. Her research excellence is backed by an impressive portfolio of international collaborations, conference participations, and scholarly publications in reputable journals. Demonstrating a rare blend of academic rigor and applied insight, she continues to shape the frontier of data science and artificial neural networks.

Profile

ORCID

Education and Qualifications 🎓

Sundas Faisal’s academic journey reflects her unwavering commitment to knowledge and innovation. She holds a Ph.D. (Candidate, 3rd year) in Computer Science from the Silesian University of Technology, Poland, focusing her thesis on the application of artificial neural networks to the Painlevé equation-II in nonlinear optics. She completed her M.S. in Computer Science with Distinction from the University of Lahore, Pakistan, preceded by an MCS in Computer Science from Fatima Jinnah Women University, Rawalpindi. Her foundational academic credential is a Bachelor in Computer Science from the Government College for Women, affiliated with Punjab University, Pakistan. Her academic path has laid a strong interdisciplinary base in computer science, AI, and applied mathematics.

Professional Experience 💼

Sundas has amassed significant academic and administrative experience across diverse institutions. From 2011 to 2017, she served as Assistant Professor, Course Coordinator, and Admissions Incharge at the University of Lahore. Subsequently, she held visiting faculty roles at Mirpur University of Science and Technology (2021–2022), Punjab University of Technology Rasool (2022), and the University of the Punjab, Jhelum Campus (2020–2023). These appointments allowed her to not only impart technical knowledge but also participate in curriculum design, interdisciplinary research, and student mentorship. Her experience reflects a balanced engagement with both academic leadership and research.

Research Interests 🔍

Sundas’s research interests are wide-ranging and align with modern computational challenges. Her primary focus lies in machine learning, artificial intelligence, data mining, optimization, and neural networks. She also demonstrates strong interest in quantum informatics, quantum computation, signal and image processing, and cognitive research. Her Ph.D. research targets nonlinear optical systems, where she applies heuristic neural models to mathematically complex phenomena like the Painlevé equations. She is particularly driven by real-life problem-solving using mathematical modeling, computational intelligence, and data analytics.

Awards and Recognitions 🏆

Although formal awards were not extensively detailed, Sundas’s accomplishments reflect a strong scholarly presence. Her selection and contribution to EU-funded and collaborative scientific projects such as the WrightBroS and OptiQ initiatives, where she served as a corresponding author, stand as acknowledgments of her academic credibility and research leadership. Additionally, her consistent publications in indexed journals and international conferences demonstrate recognition by the global scientific community.

Selected Publications📚

1. Faisal, S. et al. (2025). A novel heuristic Morlet wavelet neural network design for the Painlevé equation-II arising in nonlinear optics, Scientific Reports, 15(1), 24713 – Cited by 6.

2. Khan, S. N., Faisal, S., et al. (2023). Iris Recognition Through Edge Detection Methods: Application in Flight Simulator User Identification, International Journal of Advanced Computer Science and Applications, 14(4) – Cited by 9.

3. Ullah, A., Faisal, S., et al. (2019). An improved multi-layer cooperation routing in visual sensor network for energy minimization, International Journal on Advanced Science, Engineering and Information Technology, 9(2), 664-670 – Cited by 14.

4. Khan, S. N., Faisal, S., et al. (2023). Review on sentiment analysis for text classification techniques from 2010 to 2021, Multimedia Tools and Applications, 82(6), 8137–8193 – Cited by 15.

5. Khan, S. N., Faisal, S., et al. (2024). Comparative analysis of stock market price behavior through machine learning approaches, Quantum Journal of Social Sciences and Humanities, 6(2), 29–41 – Cited by 4.

6. Faisal, S., et al. (2025). Early-stage edge detection of skin cancer through image processing methods, JOIV: International Journal on Informatics Visualization, 9(6) – Cited by 3.

7. Faisal, S., et al. (2025). Advancements and Challenges of Two-Beam Splitters in Linear Quantum Optics: A Comprehensive Review of Quantum Information Processing, Accepted in CoDiT 2025 – Pre-publication stage.

Conclusion✅

Sundas Faisal presents an exceptional case for nomination for the Best Researcher Award, with her interdisciplinary expertise spanning artificial intelligence, quantum computing, and neural networks. Her strong academic foundation, innovative research, active participation in international collaborations, and contributions to both applied and theoretical domains underscore her value to the research community. While ongoing improvements in research funding leadership and broader interdisciplinary initiatives could enhance her profile further, her publication impact and technical depth already set her apart as a high-potential academic. Based on her scholarly excellence and professional dedication, she is highly recommended for this award recognition.