Tanu Singh | Software Engineering | Women Researcher Award

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Dr. Tanu Singh | Software Engineering | Women Researcher Award

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

Dr. Tanu Singh πŸŽ“ 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. βœ¨πŸ“š

Professional Profile

Google Scholar

Education & Experience

πŸŽ“ 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

πŸ‘©β€πŸ« 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)

πŸ’Ό 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 πŸš€ 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. πŸ”¬πŸ“Šβœ¨

Research Focus

Dr. Tanu Singh’s research is centered on Software Engineering, Requirements Engineering, and Data Analytics πŸ–₯️. Her expertise spans Data Warehousing, Data Mining, Machine Learning, and Quantum Computing. She is particularly interested in Requirements Engineering with Artificial Intelligence πŸ€–, 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. πŸ”βš‘

Awards & Honors

πŸ† United Group Research Award (2019) – Recognized for outstanding research contributions.
πŸ₯‡ Gold Medal – Secured First Class in B.Sc. (Hons.) Physics.
πŸ“œ 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.

Simona SvozilovΓ‘ | Engineering | Best Researcher Award

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Ms. Simona SvozilovΓ‘ | Engineering | Best Researcher Award

Ms. Simona SvozilovΓ‘, University of West Bohemia, Czech Republic

Simona SvozilovΓ‘ is a doctoral researcher at the University of West Bohemia in Pilsen, Czechia, specializing in material recycling in metal additive manufacturing. With a strong academic foundation in mechanical engineering, she has contributed to international projects, including collaborative research with the National University of Colombia. Her professional experience as a research assistant at the Regional Technological Institute has honed her skills in surface engineering and project management. Passionate about advancing sustainable engineering practices, Simona has presented her work at international conferences and continues to explore innovative solutions in her field.

PROFILE

OrcidΒ  Profile

Educational Detail

Doctoral Studies (Current)
University of West Bohemia, Pilsen, Czechia (09/2024 – Present)

Master’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (09/2022 – 08/2024)

Thesis: The Influence of Material Recycling in Metal Additive Manufacturing

Two-month internship at the National University of Colombia, resulting in collaborative research and a paper presented at the Congreso Internacional de Materiales (CIM2024).

Bachelor’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (08/2018 – 08/2022)

Graduation Certificate
GymnΓ‘zium Plzeň, Pilsen, Czechia (08/2013 – 05/2017)

Field of Study: Natural Sciences, Mathematics, and Statistics

Professional Experience

Research Assistant
Regional Technological Institute – University of West Bohemia, Pilsen, Czechia (07/2021 – Present)

Assisted in the preparation and implementation of national and international research projects.

Developed promotional materials and led small teams.

Conducted surface treatment processes and precision measurements in engineering.

Presented research findings at the International Materials Conference, building on an internship collaboration with Colombia.

Research Interests

Metal Additive Manufacturing and Material Recycling

Surface Engineering and Precision Measurement Techniques

International Collaboration in Engineering Research

Digital Skills

Microsoft Office Suite: Word, Excel, PowerPoint, Teams

Google Workspace: Google Drive, Gmail

Certifications and Honors

Certificate in Quality Assurance (Certified Quality Manager) – University of West Bohemia

 

Top Notable Publications

The article titled “Evaluation of Recycled and Reused Metal Powders for DMLS 3D Printing” was published in the journal Materials on December 18, 2024.

MDPI

Authors:

Simona SvozilovΓ‘

Ivana ZetkovΓ‘

Juan Felipe Santa MarΓ­n

JesΓΊs Arturo Torres Garay

Citation Details:

Materials, Volume 17, Issue 24, Article 6184

DOI: 10.3390/ma17246184

Conclusion

Ms. Simona SvozilovΓ‘ is an exemplary candidate for the Research for Best Researcher Award.
Her extensive academic foundation, significant research contributions, international
collaborations, and practical expertise position her as a forward-thinking researcher poised to
make transformative impacts in her field.