Mir Mohammad Yousuf

Quantum Software Engineering Researcher & Educator

Reliable quantum computing · Noise-aware testing · Quantum machine learning

Open to postdoctoral and teaching positions

I work on making quantum software reliable: interpretable defect analysis, self-calibrating noise-aware testing evaluated on IBM Quantum hardware, and learning-based error mitigation for quantum machine learning. Senior Research Fellow at NIT Srinagar with over four years of university teaching.

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Reliable quantum computing Noise-aware testing Empirical software engineering Quantum machine learning
Mir Mohammad Yousuf

About

Researcher and educator combining doctoral research in Quantum Software Engineering at the National Institute of Technology Srinagar with over four years of university teaching as an Assistant Professor at the University of Kashmir and Lovely Professional University. My research focuses on reliable quantum computing, interpretable defect analysis, and noise-aware testing, with recent first-author publications in Automated Software Engineering and Neurocomputing. Contributions span large-scale empirical studies and self-calibrating testing evaluated on IBM Quantum hardware, alongside co-authored work on adaptive error mitigation for quantum machine learning and quantum reinforcement learning.

My teaching and mentorship span undergraduate and postgraduate instruction in software engineering, programming, data structures, algorithms, computer networks, and research methodology. I have guided student research projects and theses, contributed to curriculum development, and mentored student teams, and I continue to support coursework and laboratory instruction at NIT Srinagar. I bring experimental design, statistical analysis, IBM Qiskit, and industry software quality-assurance experience to research, practical instruction, and student supervision.

Research interests

  • Reliable quantum computing, Quantum Software Engineering, noise-aware testing and verification.
  • Quantum machine learning: robustness, reproducibility, and testing of hybrid quantum-classical workflows.
  • Empirical evaluation of NISQ software: noise sensitivity, backend-dependent behaviour, and software quality.
  • AI/ML for software engineering and software quality: interpretable defect analytics, repository mining, and maintenance.

Recent publications

Recent Contributions. Earlier publications are listed at the foot of the page.

Published and accepted

  1. M. M. Yousuf and S. A. Sofi, "Bug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation." Journal Automated Software Engineering, Springer, vol. 33, no. 1, art. 39, 2026.
  2. M. M. Yousuf and S. A. Sofi, "A Systematic Exploration of Quantum Software Engineering in the NISQ Era: Methods, Lifecycle Practices, and a Taxonomy of Challenges." Journal Neurocomputing, Elsevier, art. 132809, 2026.
  3. M. M. Yousuf, "Cross-Ecosystem Bug Classification in Quantum Software." Conference International Conference on Communication and Computational Technologies (ICCMC-183).
  4. B. Majid, S. A. Sofi, and M. M. Yousuf, "APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study." Conference 2026 6th International Multi Conference on Artificial Intelligence Technology (MCAIT).

Research contributions

Interpretable quantum-software bug classification

A rule-based framework for classifying quantum-software defects into interpretable categories. Evaluation against manually annotated cases showed strong agreement with human judgment and advantages over standard machine-learning baselines on difficult fine-grained categories.

QSE methods and NISQ challenges

A synthesis of methods and lifecycle practices across a fragmented research field, organized into a structured taxonomy of NISQ-era challenges around the engineering of quantum software.

Longitudinal quantum-software quality

A large-scale study of verified bug reports from open-source quantum repositories, characterizing bugs and quality attributes over time and extending the work from defect classification to longitudinal quality analysis.

Self-calibrating noise-aware testing

A methodology that replaces fixed correctness thresholds with program- and backend-specific correctness envelopes derived through self-baseline calibration, evaluated across noise regimes, hardware snapshots, and a live IBM Quantum system.

Cross-ecosystem bug classification

An extension of Qiskit-focused defect classification across quantum-software ecosystems, examining the transferability of bug categories beyond a single ecosystem.

Reliable quantum ML and RL

Co-authored research on Adaptive Policy-Guided Error Mitigation (APGEM), a learning-based approach to noise resilience in QML, applied to quantum reinforcement learning for the Capacitated Vehicle Routing Problem with a real-world case study.

Education & experience

Timeline

  1. 2022
    EducationPh.D. in Information Technology National Institute of Technology Srinagar Oct 2022 – Present
  2. 2022
    AcademicResearch Fellow & Teaching Assistant Dept. of IT, NIT Srinagar Oct 2022 – Present
  3. 2021
    AcademicAssistant Professor University of Kashmir Jun 2021 – Oct 2022
  4. 2018
    AcademicAssistant Professor Lovely Professional University Jul 2018 – May 2021
  5. 2017
    IndustryAutomation Engineer Central University of Punjab Dec 2017 – May 2018
  6. 2016
    EducationM.Tech. in Computer Science and Technology Central University of Punjab, Bathinda 2016 – 2018 · Distinction
  7. 2015
    IndustryQA & Control Engineer BQE Software Inc. Nov 2015 – Mar 2016
  8. 2014
    IndustrySoftware Developer & Trainer IAC Software Solutions Dec 2014 – Jan 2016
  9. 2011
    EducationB.Tech. in Computer Science and Engineering University of Kashmir, Srinagar 2011 – 2015 · Distinction

Education

Ph.D. in Information Technology National Institute of Technology Srinagar Oct 2022 – Present

Quantum Software Engineering. Thesis: Quantum Software Engineering: Bridging Theory and Practice. Supervisor: Dr. Shabir Ahmad Sofi. Minimum requirements completed for thesis submission.

M.Tech. in Computer Science and Technology Central University of Punjab, Bathinda 2016 – 2018

Distinction. Thesis: Analysis of the Change of Bugginess and Adaptiveness of Python Software Systems.

B.Tech. in Computer Science and Engineering University of Kashmir, Srinagar 2011 – 2015

Distinction. Ranked fourth among the university's CSE students.

Academic & research

Research Fellow & Teaching Assistant Dept. of IT, NIT Srinagar Oct 2022 – Present

Interpretable bug classification evaluated on 12,910 issues from 36 Qiskit repositories and 4,984 annotated cases; cross-ecosystem classification and a longitudinal analysis of 32,296 verified reports from 123 repositories; a self-calibrating noise-aware testing framework evaluated on IBM Quantum hardware.

Assistant Professor University of Kashmir Jun 2021 – Oct 2022

Taught programming, algorithms, Python, software engineering, data structures, and research methodology; contributed to curriculum development and student mentoring.

Assistant Professor Lovely Professional University Jul 2018 – May 2021

Taught software engineering, computer networks, C and Python programming, data structures, and research methods; guided student research projects and theses.

Industry & software engineering

Automation Engineer Central University of Punjab Dec 2017 – May 2018

Automated student-management and result modules; PHP/MySQL components and black-box QA.

QA & Control Engineer BQE Software Inc. Nov 2015 – Mar 2016

Tested BillQuick, WebSuite, ArchiOffice, and BQE Online with black-box and white-box techniques across the STLC.

Software Developer & Trainer IAC Software Solutions Dec 2014 – Jan 2016

Built web apps with HTML, CSS, PHP, and SQL; delivered training in C, C++, Java, and database design.

Teaching & engagement

Teaching, supervision & curriculum

  • Teaching areas: Software Engineering, Software Quality Assurance, Computer Networks, C and Python programming, Data Structures, Algorithms, and Research Methodology; undergraduate and postgraduate.
  • Research supervision: Guided student research projects and theses at Lovely Professional University.
  • Curriculum development: Contributed to undergraduate and postgraduate programmes at the University of Kashmir.
  • Laboratory instruction & mentoring: Programming and computer-network labs and research-methods teaching at NIT Srinagar; mentored a seven-member Smart India Hackathon 2019 team.

Invited talks & engagement

  • Invited Speaker, NIT Srinagar (2026): session on "Quantum AI."
  • Invited Expert, AI Summit 2026: Skill Development Centre, SKIMS, Srinagar, pre-summit event on AI in healthcare.
  • Invited Speaker, National Conference on Patient Safety (2025): "Artificial Intelligence: Safeguarding Patients in the Era of Digital Healthcare," SKICC, Srinagar.
  • Expert Resource Person: Python for Artificial Intelligence Workshop, NIT Srinagar, Oct 2025.
  • Invited Expert, Codevolution 2025: Green Valley Educational Institute, Srinagar.

Service & mentoring

  • Mentor, Smart India Hackathon 2019, Ministry of Water Resources problem statement.
  • Registration & website committee, Indian Science Congress, Lovely Professional University, 2019.
  • Coordination & organisation, Convergence-17, Central University of Punjab, 2017.

Awards & honours

Academic & research

  • Best Paper Award, International Conference on Advances in Science and Technology (ICAST), 2018.
  • Second rank nationally, Computer Science Learning Test (CSLT), 2020; score 31/40.
  • Fourth rank, B.Tech. Computer Science and Engineering, University of Kashmir, 2015.
  • Second rank, High School (JKBOSE), R.P. School, Malla Bagh, Srinagar, 2008.

Athletics & sport

  • National runner-up, 19th Senior National Tennis Ball Cricket Championship, representing Jammu and Kashmir, Tiruttani, Tamil Nadu, 2008.
  • Bronze, 100 m and 400 m, Sixth Annual Athletic Meet, Central University of Punjab, 2018.
  • Silver, 400 m, Fifth Annual Athletic Meet, Central University of Punjab, 2017.
  • Third place, 400 m relay, Fifth Annual Athletic Meet, Central University of Punjab, 2017.
  • Bronze, shot-put, Fifth Annual Athletic Meet, Central University of Punjab, 2017.

Service & cultural

  • Certificate of Appreciation, registration and website committee, Indian Science Congress, Lovely Professional University, 2019.
  • Certificate of Appreciation, Unity in Diversity cultural event, representing Jammu and Kashmir, Central University of Punjab, 2018.
  • Certificate of Appreciation, volunteer service, Sixth Annual Athletic Meet, Central University of Punjab, 2018.
  • Best Photography Award, University Bash Cricket Championship, Central University of Punjab, 2018.

Technical expertise

Quantum computing & experimentation
IBM Qiskit, QSim, noise-aware testing, self-baseline calibration, and experimental evaluation across noise regimes and IBM Quantum hardware.
Empirical research methods
Repository mining, manual bug annotation, longitudinal analysis, experimental design, hypothesis testing, correlation, and regression.
Machine learning & data analysis
Applied machine learning, statistical analysis, and data analysis.
Software engineering & testing
Software Testing Life Cycle, black-box and white-box testing, software quality assurance, and Selenium.
Programming
Python, C/C++, Java, SQL, PHP, JavaScript, and HTML/CSS.
Tools
LaTeX, Linux, Android Studio, Git, Jupyter Notebook, and MATLAB.

Quantum computing

  • Practical Quantum Computing with IBM Qiskit for Beginners, Packt, 2025. 5YEHHGNZRTXL
  • Quantum Computing for Everyone, Fractal, 2025. TVMUKRJZFN6W
  • AI-Assisted Software Engineering for Quantum Computing and PQC (AI-SEQ), QuLearnLabs, 2025.
  • Quantum Computing: Theory to Physical Implementation, IISc, 2025.
  • Quantum Computing using QSim, C-DAC, 2023.

Software engineering & testing

  • Software Engineering: Implementation and Testing, HKUST, 2024. 4JHZMJRC6SCX
  • Introduction to Software Engineering (Honors), IBM, 2024. AVHGTHQIKMZL
  • Web and Mobile Testing with Selenium, Univ. of Minnesota, 2024. 70HFKDW4TIBO
  • Foundations of Software Testing and Validation, Univ. of Leeds, 2024. JSKJL49QZQ48

Programming & other

  • Python for Data Science, AI & Development, IBM, 2024. LPJOSJRJIGJV
  • Programming in Python, Meta, 2024. B3A0PXAP0PRX
  • CompTIA Network+, 2019 · CCNA, University of Kashmir, 2015 (Grade A).
  • Languages: English, Urdu (fluent), Kashmiri (native), Arabic (reading & writing).

Earlier publications

Journals  · 26›
  1. M. M. Yousuf and M. Rashid, "Analysis of the Change in Bugginess and Adaptiveness of Bug Tracking Trac Systems for Python Softwares." Multimedia Tools and Applications, Springer Nature, 2022. DOI
  2. M. M. Yousuf, B. Majid, M. Rashid, and U. I. Wani, "On the Statistical Relationships Between the Coding Standards and the Reported Bugs of the Python Software Systems." Think India, vol. 22, no. 3, pp. 7718–7727, 2019.
  3. U. I. Wani, M. M. Yousuf, and M. Rashid, "IoT Architecture, Challenges and Future Directions: A Mirror Review." Think India, vol. 22, no. 3, pp. 8402–8410, 2019.
  4. U. I. Wani, G. Singh, M. M. Yousuf, M. Rashid, and B. Talwar, "A Brief Survey on Various Security Attacks in IoT." Think India Journal, vol. 22, no. 3, pp. 8392–8401, 2019.
  5. M. Rashid, A. Kaur, M. M. Yousuf, and R. Puri, "Comparative Analysis of Big Data Projects for Solving Computational Challenges in Data." Think India Journal, vol. 22, no. 3, pp. 8090–8096, 2019.
  6. M. M. Yousuf, R. Kumar, M. Singh, R. Yadav, and Isha, "Emotion Analysis with Deep Learning and Machine Learning Technologies." Think India Journal, vol. 22, no. 3, pp. 7728–7737, 2019.
  7. M. M. Yousuf, S. Kar, M. Rashid, and B. Majid, "A Comprehensive Review on the Different Types of the Attacks and Defense in Deep Learning." Think India Journal, vol. 22, no. 3, pp. 7738–7748, 2019.
  8. M. M. Yousuf, S. Kumar, M. Rashid, and B. Majid, "Digital Data Forgetting: A Machine Learning Approach." Think India Journal, vol. 22, no. 30, pp. 318–324, 2019.
  9. M. Rashid, M. M. Yousuf, A. Kaur, R. Puri, and V. Goyal, "Comparative Studies on Text Extraction from Real Time Images." Think India Journal, vol. 22, no. 16, pp. 2138–2142, 2019.
  10. A. Ahmed, A. Kumar, and M. M. Yousuf, "Using AZ Software Development Model to Improve the Quality of a Software Application." JETIR, vol. 6, no. 1, pp. 11–18, 2019.
  11. M. M. Yousuf, "Is It Safe to Uplift a Patch? An Empirical Study on Trac." International Journal of Advance Research in Science and Engineering, 2018.
  12. S. Soni, J. Singla, and M. M. Yousuf, "Big Data: Frameworks and Challenges." JETIR, vol. 5, no. 10, pp. 535–541, 2018.
  13. V. K. Pandey, J. Singla, and M. M. Yousuf, "Mobile Cloud Computing: A New Opportunity for the Rapidly Changing World." JETIR, vol. 5, no. 10, pp. 566–569, 2018.
  14. K. Rana and M. M. Yousuf, "Comparative Analysis of Testing Tools." JETIR, vol. 5, no. 10, pp. 585–591, 2018.
  15. N. Saqib and M. M. Yousuf, "A Review of Mitigating Cost Concerns to Enhance Maintainability in SDLC." JETIR, vol. 5, no. 11, pp. 162–169, 2018.
  16. N. Saqib, M. M. Yousuf, K. Rana, and Kavita, "A Review on the Internet of Things for Healthcare." JETIR, vol. 5, no. 11, pp. 244–253, 2018.
  17. Chandini, J. Singla, and M. M. Yousuf, "Denial of Service Attack in Internet of Things." JETIR, vol. 5, no. 12, pp. 920–928, 2018.
  18. A. A. Gadoo, M. M. Yousuf, M. Rashid, and S. Khare, "A Survey on Source Camera Identification Using Image Features." JETIR, vol. 5, no. 12, pp. 989–999, 2018.
  19. Divya K. and M. M. Yousuf, "A Review on Image Processing and Image Segmentation." IJRAR, vol. 5, no. 4, pp. 310–321, 2018.
  20. A. Paliwal, M. Dhindsa, M. M. Yousuf, and Roopam, "Malware Detection and Prevention Based on Machine Learning Algorithms." IJRAR, vol. 5, no. 4, pp. 205–214, 2018.
  21. Sk. Md. Alfayeed, M. M. Yousuf, and M. Dhindsa, "An Overview and Applications of Artificial Intelligence and Robotics." IJRAR, vol. 5, no. 4, pp. 783–787, 2018.
  22. G. S. Reddy, M. M. Yousuf, and S. M. Lakshmi, "Review Based on Detection System Using Web Content Mining in Cyberbullying." IJRAR, vol. 5, no. 4, pp. 1094–1098, 2018.
  23. M. M. Yousuf, "A Comparative Study on Agile Software Development Technologies." IJRAR, vol. 5, no. 4, pp. 1112–1119, 2018.
  24. Y. Kumar and M. M. Yousuf, "A Review on Wireless Sensor Network." IJRAR, vol. 5, no. 4, pp. 442–451, 2018.
  25. A. Kumar, J. Singla, and M. M. Yousuf, "An Overview of Windows Update, Security Patch and Issues." IJRAR, vol. 5, no. 4, pp. 1077–1084, 2018.
  26. M. Rashid and M. M. Yousuf, "Crop Disease Detection Using Image Processing Techniques: A Systematic Review." Journal of Gujarat Research Society.
  27. S. Khare, M. M. Yousuf, A. A. Gadoo, and A. K. Shukla, "Virtualization and Security in Cloud Computing." JETIR.
Conferences  · 11›
  1. M. M. Yousuf, S. Chatterjee, and M. Rasool, "COVID-19 Outbreak Cases and Healthcare Database." 2021 International Conference on Intelligent Engineering and Management (ICIEM), IEEE, 2021. DOI · Scopus
  2. S. Hasan, M. M. Yousuf, M. Farooq, N. Marwah, S. A. A. Andrabi, and H. Kumar, "e-Vaccine: An Immunization App." 2021 2nd ICIEM, IEEE, 2021. DOI · Scopus
  3. M. M. Yousuf and N. Saqib, "Design and Implementation of Shortest Path Line Follower Autonomous Rover Using Decision Making Algorithms." IEEE Asian Conference on Innovation in Technology (ASIANCON), 2021. Scopus
  4. N. Saqib, M. M. Yousuf, and M. Rashid, "Design and Implementation Issues in Autonomous Vehicles: A Comparative Review." 2021 2nd ICCAKM, Dubai, IEEE, 2021, pp. 157–162. DOI · Scopus
  5. M. Rashid, A. Hamid, N. Ahmad, M. B. Rehman, and M. M. Yousuf, "Novel Machine Learning Approach for Sentiment Analysis of Real Time Twitter Data with Apache Flume." 2020 6th PDGC, IEEE, 2020, pp. 336–340. DOI
  6. N. S. Vishnu, M. M. Yousuf, S. M. Lakshmi, and M. Rashid, "MANET Congestion Alerting and Adapting Protocols: A Comparative Study." 2020 ICIEM, IEEE, 2020, pp. 228–233. Scopus
  7. M. Rashid, M. M. Yousuf, B. Ram, and V. Goyal, "Novel Big Data Approach for Drug Prediction in Health Care Systems." 2019 ICACTM, IEEE, 2019, pp. 325–329. Scopus
  8. I. Nazeer, M. M. Yousuf, M. Rashid, and U. I. Wani, "Medical Diagnosis Cloud Model for Detection of Kidney Diseases." 2019 5th ICIIP, IEEE, 2019, pp. 315–320. Scopus
  9. M. M. Yousuf, "Reducing the Software Maintenance Cost: An Empirical Study on the Python Software Systems." ICAST-2018, Rayat Bahra, Ropar, 2018. Best Paper Award
  10. M. M. Yousuf, "A Survey on Cloud Computing: A Real Buzzword in the IT World." CEPO-2016, Central University of Punjab, Bathinda, 2016.
  11. M. M. Yousuf, "Emergency Communication: An Android App." 11th JK Science Congress, University of Kashmir, Srinagar, 2015.
Book chapters  · 2›
  1. M. M. Yousuf, S. A. Sofi, and F. A. Reegu, "Challenges of Cyber-Physical Systems in Rural Education." Cyber-Physical System for Rural Development, pp. 186–200, 2025.
  2. M. M. Yousuf, S. Khare, A. A. Gadoo, and M. Rashid, "Blockchain Security in Cloud Computing: Use Cases, Challenges and Solutions." Springer Nature. Scopus

Contact

Let's work together

I am actively seeking postdoctoral and teaching positions, and welcome research collaborations, reviewing, and invited talks in quantum software engineering and quantum machine learning. Send a message using the form, or reach me directly.

miryousuf.uok@gmail.com Google Scholar ORCID iD LinkedIn

Prefer email? Write to miryousuf.uok@gmail.com.