Astha Singh

Biography

Astha Singh is Asistant Professor in Computer science Department in JIIT Noida, India. She receivedPhD in Computer Science fromMNNIT Allahabd, India. Her research interests include Machine Learning, Natural Language Processing

Educational Qualifications

2020 – 2023 Ph.D. Computer Science Motilal Nehru National Institute of Technology Allahabad.[Aggregate-80%]

Thesis title: Computer Assisted Identification of Stress, Anxiety and Depression (SAD) Levels in the Students for the Prevention of Suicides.

2018 – 2020 M.Tech. Computer Science, Centre for Advanced Studies Lucknow [Aggregate-95%][Gold Medalist]

2014 – 2018 B.Tech. Computer Science, United College of Engineering and Research Allahabad [Aggregate-80%]

Work Experience

2022-23-Data Scientist: Company-Mobile Premier League (MPL) is an Indian online

gaming platform.

2018 – 2022 Educator: Edtech Company-Unacademy(Computer Science Domain)

July-2019 – March-2020 Reseacrh-Assitant: Indian Institute of Science(IISc)Bangalore

2019 6-Month Internship: ABV-IIITM-GWALIOR

2017 – 2018 6-Month Internship: Company-SAP Lab

Interest Area 

Image Processing , Computervision 

Fellowships And Scholarships

GATE, NET-JRF

Publications

• Singh,Astha and D. Kumar, “Audio based emotion detection using lenet-5 cnn architecture,”Multimedia Tools and Applications ( Accepted),
• Singh, Astha and D. Kumar, “Computer assisted identification of stress, anxiety, depression (sad) in students: A state-of-the-art review,” Medical Engineering & Physics, p. 103 900, 2022. https://doi.org/10.1016/j.medengphy.2022.103900.URl:
• Singh.Astha and D. Kumar, “Gauging stress, anxiety, depression in student during covid-19 pandemic,”
• Scalable Computing: Practice and Experience, vol. 23, no. 4, pp. 159–170, 2022. https://doi.org/10.12694/scpe.v23i4.2012.URl:
• Singh.Astha, S. Prakash, A. Kumar, and D. Kumar, “A proficient approach for face detection and recognition using machine learning and high-performance computing,” Concurrency and Computation: Practice and Experience, vol. 34, no. 3, e6582, 2022. URl: https://doi.org/10.1002/cpe.6582.
• A. Kumar, Singh, Astha, S. Prakash, and V. Singh, “A novel approach towards audio watermarking using fft and cordic-based qr decomposition,” AI and IoT-Based Intelligent Automation in Robotics,pp. 323–338, 2021. URl: https://doi.org/10.1002/9781119711230.ch20.
• Singh,Astha and D. Kumar, “Deep learning technique to diagnose depression in audio,” in IC3−2023, Conference(Accepted), IEEE.
• Singh, Astha, S. S. Rajput, and K. Arya, “The detection of covid-19 using radiography images via convolutional network-based approach,” in Proceedings of International Conference on Computational Intelligence: ICCI -2020, Springer, 2022, pp. 171–182.
• N. Yadav, Singh, Astha, and D. Kumar, “Video-based depression detection using support vector machine (svm),” in International Conference on Computational Intelligence in Communications and Business Analytics, Springer, 2022, pp. 311–325.
• S. K. Yadav, S. K. Jha, S. Singh, P. Dixit, S. Prakash, and Singh, Astha, “Optimizing multiple sequence alignment using multi-objective genetic algorithms,” in 2022 International Conference on Decision Aid Sciences and Applications (DASA), IEEE, 2022, pp. 113–117.
• Singh, Astha and D. Kumar, “Gauging stress among indian engineering students,” in International Conference on Computational Intelligence in Communications and Business Analytics, Springer, 2021, pp. 175–186.
• Singh, Astha and D. Kumar, “Identification of anxiety and depression using dass-21 questionnaire and machine learning,” in 2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT), IEEE, 2021, pp. 69–74.
• U. Singh, A. Srivastava, D. Chauhan, and Singh, Astha, “Computer vision technique for detection of grape esca (black measles) disease from grape leaf samples,” in 2020 International Conference on Contemporary Computing and Applications (IC3A), IEEE, 2020, pp. 110–115.
• Singh, Astha, “Face detection using deep recurrent learning and smqt technique,” in 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), IEEE, 2020, pp. 17–22.
• Singh, Astha, A. Kumar, and M. K. Dutta, “Dwt, dct and pbfo based approach for biometric imagesecurity,” in 2020 International conference on contemporary computing and applications (IC3A), IEEE, 2020, pp. 298–303. URl: DOI:%2010.1109/IC3A48958.2020.233317.
• Singh, Astha, A. Kumar, M. K. Dutta, C. Travieso-González, and L. Esteban-Hernández, “Perspective approach for security of biometric image,” in Proceedings of the 3rd International Conference on Applications of Intelligent Systems, 2020, pp. 1–7.
• Singh, Astha, S. Srivastava, A. Yadav, M. K. Dutta, and C. M. Travieso, “Automatic framework for extraction of red lesion using gabor filter from fundus image,” in Proceedings of the 2nd International
• Conference on Applications of Intelligent Systems, 2019, pp. 1–6.https://doi.org/10.1145/3309772.3309785.URl:
• S. Srivastava, Singh, Astha, A. Yadav, M. K. Dutta, K. Riha, and J. Dorazil, “Automatic extraction of micro-aneurysms and haemorrhages from digital fundus image,” in 2019 42nd International Conference
• on Telecommunications and Signal Processing (TSP), IEEE, 2019, pp. 249–254.DOI:%2010.1109/TSP.2019.8768847.
• Patent Astha Singh, Gargi Mishra and Divya Kumar."An Ensemble Approach for Identification of Stress, Anxiety and Depression (SAD) in Students"Indian
• Patent:202311049167, 21stJuly2023