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Dr. Tanu Singh | Software Engineering | Women Researcher Award

Assistant Professor (Senior Scale) at UPES, Dehradun, India

Dr. Tanu Singh 🎓 is an Assistant Professor (Senior Scale) at the School of Computer Science, UPES, Dehradun. With a Ph.D. in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, she specializes in Software Engineering, Data Analytics, and Quantum Computing. With over eight years of teaching experience and industry exposure, she integrates modern teaching methodologies like e-learning and project-based learning. Passionate about research, she has contributed to Requirements Engineering, AI, and Data Warehousing. Besides academics, she has held key administrative roles, fostering student development and academic excellence. ✨📚

Professional Profile

Google Scholar

Education & Experience

🎓 Education:

  • Ph.D. (Computer Science & Engineering) (2016-2022) – Guru Gobind Singh Indraprastha University
  • M.Tech (Computer Science & Engineering) (2011-2014) – I.K. Gujral Punjab Technical University
  • B.Tech (Information Technology) (2007-2011) – I.K. Gujral Punjab Technical University

👩‍🏫 Teaching Experience (8+ Years):

  • Assistant Professor (Senior Scale) – UPES, Dehradun (2022-Present)
  • Guest Lecturer – Integrated Institute of Technology, Dwarka (2017-2022)
  • Assistant Professor – Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi (2015-2016)
  • Lecturer – Delhi College of Fire and Safety Engineering (2014-2015)

💼 Industry Experience (9 Months):

  • Project Engineer – KAPS Infotech, Delhi (2014)

Professional Development

Dr. Tanu Singh is committed to advancing the frontiers of Computer Science & Engineering 🚀 through research, teaching, and industry engagement. She actively applies modern pedagogies such as e-learning, team learning, and project-based learning to enhance student understanding. Her administrative roles, including ClassCoordinator and Activity Coordinator, reflect her leadership in academia. With a strong foundation in Requirements Engineering, Data Mining, and Quantum Computing, she continues to bridge the gap between theory and real-world applications. Passionate about interdisciplinary collaboration, she strives to integrate Artificial Intelligence, Software Engineering, and Data Science into transformative research. 🔬📊✨

Research Focus

Dr. Tanu Singh’s research is centered on Software Engineering, Requirements Engineering, and Data Analytics 🖥️. Her expertise spans Data Warehousing, Data Mining, Machine Learning, and Quantum Computing. She is particularly interested in Requirements Engineering with Artificial Intelligence 🤖, exploring how AI can improve software design and quality assessment. Her Ph.D. work focused on validating quality metrics for Data Warehouse models, bridging theoretical research with real-world applications. Additionally, she explores Quantum Machine Learning, aiming to revolutionize computational efficiency and predictive analytics. Her research contributions aim to innovate and optimize computing methodologies for the future. 🔍⚡

Awards & Honors

🏆 United Group Research Award (2019) – Recognized for outstanding research contributions.
🥇 Gold Medal – Secured First Class in B.Sc. (Hons.) Physics.
📜 Academic Excellence – Consistently high academic performance in Ph.D., M.Tech, and B.Tech.
🌟 Leadership in Teaching & Administration – Held multiple academic coordination roles.

Publication Top Notes
  1. Empirical Validation of Requirements Traceability Metrics for Requirements Model of Data Warehouse Using SVM

    • Authors: Tanu Singh, Manoj Kumar
    • Conference: 2020 IEEE 17th India Council International Conference (INDICON)
    • Pages: 1-5
    • Year: 2020
    • Abstract: This paper presents an empirical validation of requirements traceability metrics for data warehouse requirements models using Support Vector Machines (SVM). The study aims to predict the understandability of these models, thereby contributing to the assurance of data warehouse quality.
  2. Prevailing Issues and Research Confront in Underwater Acoustic Sensor Networks

    • Authors: Manu Singh, Tanu Singh
    • Journal: International Journal of Computer Science and Information Technology
    • Year: 2014
    • Abstract: This paper discusses the prevailing challenges and research directions in Underwater Acoustic Sensor Networks (UASNs), focusing on issues such as energy efficiency, communication reliability, and network scalability.
  3. Formally Investigating Traceability Metrics of Data Warehouse Requirements Model Using Briand’s Framework

    • Authors: Tanu Singh, Manoj Kumar
    • Conference: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)
    • Pages: 1-5
    • Year: 2021
    • Abstract: This study conducts a formal investigation of traceability metrics for data warehouse requirements models using Briand’s property-based framework, aiming to ensure the quality of these models.
  4. Empirical Study to Predict the Understandability of Requirements Schemas of Data Warehouse Using Requirements Metrics

    • Authors: Tanu Singh, Manoj Kumar
    • Journal: International Journal of Intelligent Engineering Informatics, Volume 9, Issue 4, Pages 329-354
    • Year: 2021
    • Abstract: This empirical study evaluates requirements metrics to predict the understandability of data warehouse requirements schemas, contributing to the development of better conceptual data models.
  5. Investigating Requirements Completeness Metrics for Requirements Schemas Using Requirements Engineering Approach of Data Warehouse: A Formal and Empirical Validation

    • Authors: Tanu Singh, Manoj Kumar
    • Journal: Arabian Journal for Science and Engineering
    • Pages: 9527-9546
    • Year: 2021
    • Abstract: This paper investigates requirements completeness metrics for data warehouse requirements schemas using a requirements engineering approach, providing both formal and empirical validation.

Tanu Singh | Software Engineering | Women Researcher Award

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