PROFILE

Timeline Image
Deep Learning | Machine Learning | Computer Vision | NLP | Large Language Models | AI for Software Engineering
8
Years Total Experience
5+
Years Teaching & Research at DTU
2.5
Years at Oracle
 
Ms. Priya Singh is an Assistant Professor in the Department of Software Engineering at Delhi Technological University (DTU) . Her work focuses on Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Natural Language Processing, Large Language Models, and AI for Software Engineering . With over 8 years of professional experience , including 5+ years in teaching and research at DTU and 2.5 years at Oracle , she combines strong academic expertise with practical industry exposure. She has actively contributed to student mentoring, research supervision, curriculum development, sponsored projects, and AI-driven software research . Her research contributions include publications in reputed journals and conferences, with ongoing work in intelligent software systems, cybersecurity, healthcare AI, and advanced deep learning applications . She is committed to fostering innovation, interdisciplinary research, and industry-oriented learning through collaborations with academia and industry.
 
Before transitioning to academia, she worked as a Software Developer at Oracle for 2.5 years, gaining hands-on experience in software design, development, and optimisation. Her industry background enables her to seamlessly connect theoretical concepts with real-world applications, preparing students for both research and industry challenges.
 
She strives to integrate industry insights with research-driven methodologies to bridge the gap between theory and practical implementation. She has authored several journal and conference publications in reputed venues and is committed to fostering innovation in AI-driven software solutions. Through active collaborations with academia and industry, she continues to push the boundaries of AI applications in software engineering, security, computer vision, and deep learning.
 
RESEARCH PROFILE
Google Scholar
ResearchGate
LinkedIn

PREVIOUS POSITIONS/ EXPERIENCE

ACADEMIA EXPERIENCE
Assistant Professor
Delhi Technological University (DTU)
2020 – Present
INDUSTRY EXPERIENCE
Software Engineer
Oracle Pvt. Ltd.
2018 – 2020

TEACHING (COURSES TAUGHT)

COURSES TAUGHT
Advanced Data Structures and Algorithms
Programming Fundamentals
Machine Learning
Software Requirements Engineering
Software Reliability
Software Maintenance

MEMBERSHIPS

PROFESSIONAL MEMBERSHIPS
IEEE
Member ID: 99272381
CSI
Computer Society of India
ACM
Association for Computing Machinery

PUBLICATIONS

JOURNAL ARTICLES
R. Malhotra and P. Singh, “A Unified Deep Learning Based Feature Representation Approach for Effective Software Defect Prediction,” Software: Practice and Experience , pp. 1–21, 2026, doi: 10.1002/spe.70081 .
K. Bansal, K. Bisht and P. Singh, “Harnessing Tc-Ls-Ga-At: A Novel Deep Learning Based Hybrid Approach for Wind Power Forecasting,” International Journal of System Assurance Engineering and Management , vol. 16, no. 5, pp. 1865–1874, 2025, doi: 10.1007/s13198-025-02738-z .
R. Malhotra and P. Singh, “DHG-BiGRU: Dual-attention Based Hierarchical Gated BiGRU for Software Defect Prediction,” Information and Software Technology , vol. 179, p. 107646, 2025, doi: 10.1016/j.infsof.2024.107646 .
P. Singh, S. Gupta and V. Gupta, “Multi-objective Hyperparameter Optimization on Gradient-boosting for Breast Cancer Detection,” International Journal of System Assurance Engineering and Management , vol. 15, no. 5, pp. 1676–1686, 2024, doi: 10.1007/s13198-023-01955-8 .
R. Malhotra and P. Singh, “Recent Advances in Deep Learning Models: A Systematic Literature Review,” Multimedia Tools and Applications , vol. 82, no. 29, pp. 44977–45060, 2023, doi: 10.1007/s11042-023-15295-z .
P. Singh, C. Kumar and A. Kumar, “Next-LSTM: A Novel LSTM-based Image Captioning Technique,” International Journal of System Assurance Engineering and Management , vol. 14, no. 4, pp. 1492–1503, 2023, doi: 10.1007/s13198-023-01956-7 .
R. Malhotra and P. Singh, “Exploiting Bad-smells and Object-oriented Characteristics to Prioritize Classes for Refactoring,” International Journal of System Assurance Engineering and Management , vol. 11, no. 2, pp. 133–144, 2020, doi: 10.1007/s13198-020-01001-x .
CONFERENCE PROCEEDINGS
Prerna, R. Beshra and P. Singh, “Bug Triaging: A Comprehensive Review of Current Practices and the Path Ahead,” in Proc. 3rd Int. Conf. Self Sustainable Artificial Intelligence Systems (ICSSAS) , June 2025, pp. 1685–1689, doi: 10.1109/ICSSAS66150.2025.11080970 .
Harsh, H. Santoshi, and P. Singh, “Comparative Study of Machine Learning Based Defect Prediction Models for Python Software,” in Proc. 6th Int. Conf. Inventive Research in Computing Applications (ICIRCA) , Coimbatore, India, 2025, pp. 1867–1872, doi: 10.1109/ICIRCA65293.2025.11089647 .
R. Malhotra and P. Singh, “CodeBERT-BiGRU for Software Defect Prediction,” in Artificial Intelligence and Speech Technology (AIST 2024) , Springer, 2025, doi: 10.1007/978-3-031-91340-2_22 .
R. Malhotra and P. Singh, “Deep AST-Based Approach for Software Defect Prediction: A Comparative Analysis,” in Data Science and Applications (ICDSA 2024) , Singapore: Springer, 2025, pp. 447–460, doi: 10.1007/978-981-96-2647-2_31 .
S. Vaibhavi, A. Bhavil, and P. Singh, “Enhancing Image Captioning with Ensemble Learning and Contrastive Language-Image Pre-training,” in Proc. Int. Conf. Data Analytics & Management (ICDAM) , 2025.
P. Singh, A. Khan, and A. Tiwari, “Human Emotion Detection Using Speech Recognition in Real Time,” in Data-centric Approaches to Industrial Decisions , Singapore: Springer, 2025, doi: 10.1007/978-981-96-7556-2_4 .
V. Sakhuja, B. Ahuja, and P. Singh, “Enhancing Image Captioning with Ensemble Learning and Contrastive Language-Image Pre-training,” in Proc. Data Analytics and Management (ICDAM 2024) , vol. 1300, Singapore: Springer, 2025, doi: 10.1007/978-981-96-3361-6_44 .
P. Singh, F. Raja and H. Sharma, “Generating Image Captions in Hindi Based on Encoder–Decoder Based Deep Learning Techniques,” in Reliability Engineering for Industrial Processes , Springer, 2024, doi: 10.1007/978-3-031-55048-5_6 .

BOOKS/BOOK CHAPTERS (IF ANY)

BOOK CHAPTERS
G. Sharma and P. Singh, “Comparative Study: Word2Vec Versus TF-IDF in Software Defect Predictions,” in Data Science and Network Engineering (ICDSNE 2024) , Singapore: Springer, 2025, Lecture Notes in Networks and Systems, vol. 1165, doi: 10.1007/978-981-97-8336-6_8 .
S. Shiwakoti, S. B. Shahi and P. Singh, “Deep Learning Methods for Vehicle Trajectory Prediction: A Survey,” in Proc. IoT Based Control Networks and Intelligent Systems (ICICNIS 2023) , Singapore: Springer, 2024, doi: 10.1007/978-981-99-6586-1_37 .
P. Singh, C. Agrawal and R. Bansal, “Performance Analysis of Image Caption Generation Techniques Using CNN-Based Encoder–Decoder Architecture,” in Proc. Data Science and Network Engineering (ICDSNE 2023) , Singapore: Springer, 2024, doi: 10.1007/978-981-99-6755-1_23 .
A. Thakur, Bhavishya and P. Singh, “A Novel Deep Learning Based Fully Automated Framework for Captcha Security Vulnerability Checking,” in Proc. Data Science and Network Engineering (ICDSNE 2023) , Singapore: Springer, 2024, doi: 10.1007/978-981-99-6755-1_33 .
D. Datta, H. Prakash and P. Singh, “Skin Cancer Detection with Edge Devices Using YOLOv7 Deep CNN,” in Proc. Data Analytics and Management (ICDAM 2023) , Singapore: Springer, 2023, doi: 10.1007/978-981-99-6550-2_5 .
P. Singh and A. Verma, “Empirical Validation of Deep Learning Based on Image Captioning Models,” in Proc. 7th Int. Conf. Advance Computing and Intelligent Engineering (ICACIE 2022) , Singapore: Springer, 2024, doi: 10.1007/978-981-99-5015-7_38 .

PATENTS (IF ANY)


 

HONOURS AND AWARDS (IF ANY)

RESEARCH EXCELLENCE AWARD
Commendable Research Excellence Award in recognition of outstanding research contributions for the year 2024 .
Commendable Research Excellence Award in recognition of outstanding research contributions for the year 2023 .
BEST PAPER AWARD
Best Paper Award for the paper titled “Enhancing Image Captioning with Ensemble Learning and CLIP Model” presented at the 5th International Conference on Data Analytics and Management (ICDAM-2024) , organized jointly by London Metropolitan University, UK in association with WSG University, Poland, Portalegre Polytechnic University, Portugal, SGGW Management Institute, and BPIT, GGSIPU, Delhi on 14th–15th June 2024 .
Best Paper Award for the paper titled “Deep Learning-Based Synthetic Brain Scan Image Generation Using SinGAN with Dual Attention Mechanism” presented at the International Conference on Computing and Communication Networks (ICCCNet-2025) , organized by Manchester Metropolitan University, Manchester, United Kingdom on 1st–3rd August 2025 .
Best Paper Award for the paper titled “Comparative Analysis of Oversampling Techniques for Infant Cry Detection” presented at the 9th International Conference on Innovative Computing and Communication (ICICC-2026) , organized by Shaheed Sukhdev College of Business Studies, University of Delhi in association with National Institute of Technology Patna, India and University of Valladolid, Spain on 06th–07th February 2026 .
MISCELLANEOUS
UGC-NET and JRF qualified in December 2017.
GATE qualified in 2016, 2017.

SPONSORED/CONSULTANCY PROJECTS

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

ACADEMIC ACTIVITIES
Assigned as mentor for even sem 2022, M.tech (SWE), SE 4th SEM dated by 20/12/2021.
Coordinator for conducting alumni meet on 24/12/2021 for Dept. of SE dated by 10/12/2021.
Appointed as coordinator for workshop on Intellectual Property Rights and IP Management for Start-up on 28/04/2022.
Appointed as coordinator for activity Business Plan Competition “Samadhaan'22” from 19/08/2022 to 22/08/2022.
Assigned as mentor for odd sem 2022, M.tech (SWE), SE 3rd SEM dated by 23/05/2022.
Assigned the duty of Nodal Officer for B.Tech DTU for attending the 2nd National Conference on Cyber Crime Investigation and Digital Forensics on 04/04/2022.
Assigned as faculty coordinator for implementation of e-office dated by 30/06/2022.
Coordinator and Paper Setter for SE313, SE326, SE308, SE409 and SWE5201. Coordinator for MTech/BTech subjects.
Assigned placement and alumni coordinator for Dept. of SE. Coordinator for conducting alumni meet dated by 31/10/2022.
Coordinator for Criteria 5 Infrastructure and Learning Resources for NAAC Academic Audit (2021-22) dated by 07/10/2022.
Coordinator to prepare CO and course file for B.Tech subjects during academic year 2021-2022.
Assigned responsibility of Soft Skill Development for Dept. of SE dated 11/08/2022.
Performed duty as Lab Incharge for Department of Software Engineering for Computer System Lab dated by 02/01/2023.
Performed duty to take summer semester classes AY 2022-23 for subjects SE313 and SE427.
Coordinator for organizing the Hawan / Yagaya held on 24/07/2023 in newly constructed Building AB-4.
Coordinator and Paper Setter for SE308 and CO102.
Coordinator for Criteria 5 Infrastructure and Learning Resources for NAAC Academic Audit (2022-23) dated by 13/09/2023.
Member Secretary for M.Tech Program of Dept. of SE dated by 28/11/2024.
Program Advisor of B.Tech SE 1st Sem SW3 for Odd Semester 2024 dated by 12/08/2024.
Faculty Coordinator for Orientation cum Induction Program for first-year admitted students.
CONFERENCES / FDPs / WORKSHOPS / SEMINARS ORGANIZED
Assigned as coordinator for workshop on Design Thinking, Critical Thinking and Innovation Design from 13/01/2022 - 14/01/2022 .
Faculty nominated to conduct UHV FDP for Student Induction Program dated 16/09/2022 .
Appointed as coordinator for workshop “How to Plan for Start-up and Legal and Ethical Steps” on 29/05/2023 .
Coordinator for One Day Skill Enhancement Workshop organized by the Department of Software Engineering on 09/10/2023 dated by 03/10/2023 .
Appointed as coordinator for workshop on Intellectual Property Rights and IP Management for Start-up on 28/04/2022 .
Coordinator for conducting Alumni Meet for Department of Software Engineering dated by 31/10/2022 .
Coordinator for conducting Alumni Meet for Department of Software Engineering on 09/12/2023 .
Coordinator for conducting Alumni Meet for Department of Software Engineering in 2024 .
Committee Member for 2nd National Conference on Social Responsibilities of Educational Institutes in 2025
Committee Member for 1st National Conference on Social Responsibilities of Educational Institutes in 2024
CONFERENCES / FDPs / WORKSHOPS / SEMINARS ATTENDED
Two-week FDP on Advanced Pedagogy
One-week FDP on Introduction to Higher Performance Computing (HPC) and its Application in Artificial Intelligence
Three-day FDP on NBA Accreditation Procedures by NITTTR, Chennai
One-week Short-Term Training Programme on Information Security in the Era of Deep Learning: Challenges & Opportunities
One-week Short-Term Course on Recent Trends In Machine Learning And Deep Learning For AI Application
One-Week Information Literacy Workshop on E-Resources: A Gateway for Research
One-week Online Faculty Development Program on Leadership Mastery Through Self Management

ADVISEES

POST-GRADUATE STUDENTS
1. Akash Yadav
Roll No: 24/RSE/05
Project: On Going
Academic Year: 2025-2026
2. Rachna Patil
Roll No: 24/DSC/27
Project: On Going
Academic Year: 2025-2026
3. Priyanka
Roll No: 24/SWE/19
Project: On Going
Academic Year: 2025-2026
4. Nitesh Kalia
Roll No: 24/DCS/07
Project: On Going
Academic Year: 2025-2026
5. N Kamal Raj
Roll No: 24/DSC/26
Project: On Going
Academic Year: 2025-2026
6. Shouaib Ahmed
Roll No: 24/SWE/14
Project: On Going
Academic Year: 2025-2026
7. Sahil Verma
Roll No: 24/SWE/23
Project: On Going
Academic Year: 2025-2026
8. Ayushman Saini
Roll No: 23/DSC/19
Project: Application of Machine Learning Techniques for Modern Cyber Threat Detection
Academic Year: 2024-2025
9. Aman Rawat
Roll No: 23/DSC/19
Project: Advancing Image Captioning with Transformer Based Techniques
Academic Year: 2024-2025
10. Aman Srivastav
Roll No: 23/DSC/15
Project: Early Stage Software Bug Detection and Triaging using Machine Learning Approaches
Academic Year: 2024-2025
11. Chirag Dhiman
Roll No: 23/DSC/12
Project: A FEATURE-BASED APPROACH TO SOFTWARE BUG DETECTION USING ABSTRACT SYNTAX TREES AND PROGRAM DEPENDENCY GRAPH
Academic Year: 2024-2025
12. Keshav Kumar Sharma
Roll No: 23/SWE/19
Project: Pre-trained Model Based Software Defect Prediction for Edge Cloud System
Academic Year: 2024-2025
13. Subhadip Das
Roll No: 23/SWE/20
Project: AI-Powered Healthcare Assistant: A RAG-Based Chatbot with Hugging Face Transformers and LangChain
Academic Year: 2024-2025
14. Gaurav Sharma
Roll No: 2K22/DSC/05
Project: Comparative Analysis of Word Embedding Techniques in Software Defect Prediction
Academic Year: 2023-2024
15. Abhishek Yadav
Roll No: 2K22/SWE/01
Project: Application of Sequential Models in Software Defect Prediction
Academic Year: 2023-2024
16. Saransh Sharma
Roll No: 2K21/SWE/22
Project: Automatic Comment Generation using Deep Learning Techniques
Academic Year: 2023-2024
17. Rishabh Sirohi
Roll No: 2K21/SWE/19
Project: An Efficient Machine Learning Tool for Automatic Bug Triaging
Academic Year: 2023-2024
18. Ashish Verma
Roll No: 2K21/DSC/03
Project: An Improved Technique for Effective Image Caption Generation
Academic Year: 2023-2024
UNDER-GRADUATE STUDENTS
1. Sanoj (2K21/SE/159), Tushar Sharu (2K21/SE/184)
Project: A Hybrid Transformer Approach for Multi-Turn Conversational Question Answering
Academic Year: 2024-2025
2. Pratyansh Vaibhav (2K21/SE/141), Utsav Joshi (2K21/SE/187)
Project: Deep Learning-Based Synthetic Brain Scan Image Generation Using SinGAN with Double Attention
Academic Year: 2024-2025
3. Chaitanya Raj (2K21/SE/55), Devashish Mehta (2K21/SE/59)
Project: Detecting Economic Crimes using Machine Learning
Academic Year: 2024-2025
4. Krishan Kr Jha (2K21/SE/101), Kushagra Jarwal (2K21/SE/108)
Project: Comparative Study of Machine Learning and Deep Learning Models
Academic Year: 2024-2025
5. Prerna (2K21/SE/144), Ranjana (2K21/SE/148)
Project: Bug Triaging: A Comprehensive Review of Current Practices and the Path Ahead
Academic Year: 2024-2025
6. Vishal (2K21/SE/193), Rishi Prakash (2K21/SE/149)
Project: Multi-Class Skin Cancer Detection Using Deep Learning Ensembles
Academic Year: 2024-2025
7. Kabir Batra (2K21/SE/93), Harshit Garg (2K21/SE/84)
Project: Warehouse Location Optimization and Comparison of Various Clustering Algorithms
Academic Year: 2024-2025
8. Param (2K21/SE/132), Kushagara Singh (2K21/SE/106)
Project: Feel Detect: Instant Emotion Recognition
Academic Year: 2024-2025
9. Harsh (2K21/SE/77), Harsh Santoshi (2K21/SE/82)
Project: Comparative Study of Machine Learning Based Defect Prediction Models for Python Software
Academic Year: 2024-2025
10. Mukul Chauhan (2K21/SE/120), Pratham Bansal (2K21/SE/139)
Project: Prediction of Skin Cancer Using Deep Learning and Machine Learning Algorithms
Academic Year: 2024-2025
11. Ayush Chaudhary (2K21/SE/46), Ashish Kumar Bhushan (2K21/SE/41)
Project: —
Academic Year: 2024-2025
12. Akash (2K21/SE/16), Ankit Kumar Sah (2K21/SE/30)
Project: Predicting Heart Disease with Machine Learning Techniques: A Review of Current Techniques
Academic Year: 2024-2025
13. Ayush Jaiswal (2K20/SE/36), Bhavesh Baseshankar (2K20/SE/41)
Project: Skin Cancer Detection Using Deep Learning Models
Academic Year: 2023-2024
14. Sharda Nand Jha (2K20/SE/125), Pranav Kumar Parihar (2K20/SE/097)
Project: Patient Categorization Using Drug Reviews
Academic Year: 2023-2024
16. Vaibhavi Sakhuja (2K20/SE/152), Bhavil Ahuja (2K20/SE/42)
Project: Enhancing Image Captioning Using Ensemble Learning and CLIP Model
Academic Year: 2023-2024
17. Nikita (2K20/SE/91), Ishanki Saxena (2K20/SE/61)
Project: Exploring the Effectiveness of BERT for Text Summarization
Academic Year: 2023-2024
18. Pranav Singh Rathore (2K20/SE/98)
Project: Change in Maintenance Strategy for Effective Maintenance
Academic Year: 2023-2024
19. Pawan (2K20/SE/094)
Project: Skin Cancer Prediction - A Comparative Review
Academic Year: 2023-2024
20. Kartik Bisht (2K20/SE/69), Kartik Bansal (2K20/SE/68)
Project: Wind Power Forecasting: A Novel Hybrid Approach
Academic Year: 2023-2024
21. Anamika (2K20/SE/015), Khushi Singh (2K20/SE/74)
Project: Enhanced Image Captioning Using Scene Text - A Holistic Survey
Academic Year: 2023-2024
22. Ekansh (2K20/SE/47), Madhav Khattar (2K20/SE/78)
Project: Enhancing Tor-NonTor Traffic Classification Across Diverse Classifiers
Academic Year: 2023-2024
23. Prince Kumar (2K20/SE/100), Ritik Panchal (2K20/SE/107)
Project: Comparing Breast Cancer Prediction Models
Academic Year: 2023-2024
24. Ashutosh Thakur (2K19/SE/022), Bhavishya (2K19/SE/028)
Project: A Novel Deep Learning-Based Fully Automated Framework for Captcha Security Vulnerability Checking
Academic Year: 2022-2023
25. Riya Bansal (2K19/SE/01), Chehak Agrawal (2K19/SE/031)
Project: Performance Analysis of Image Caption Generation Techniques using CNN-Based Encoder-Decoder Architecture
Academic Year: 2022-2023
26. Aviral Tiwari (2K19/SE/024), Asif Khan (2K19/SE/023)
Project: Human Emotion Detection Using Facial Expression and Voice Recognition
Academic Year: 2022-2023
27. Suryodaya Bikram Shahi (2K19/SE/154), Shuvam Shiwakoti (2K19/SE/124)
Project: IoT-Based Control Networks and Intelligent Systems
Academic Year: 2022-2023
28. (Name Missing) (2K19/SE/030), (Name Missing) (2K19/SE/026)
Project: Next-LSTM: A Novel LSTM-Based Image Captioning Technique
Academic Year: 2022-2023
29. Prince (2K19/SE/086), Sahil Kumar (2K19/SE/105)
Project: Sentiment Analysis of Captions Generated by Image Captioning Using Deep Learning
Academic Year: 2022-2023
30. Deng Daniel Ayuen Kur (2K19/SE/034)
Project: A Comprehensive Comparison of Machine Learning Algorithms for Used Car Price Prediction
Academic Year: 2022-2023
31. Farhan Raja (2K19/SE/41), Hariom Sharma (2K19/SE/045)
Project: A Comparative Analysis of Hindi Image Captioning
Academic Year: 2022-2023

ANY OTHER INFORMATION

MESSAGE FOR STUDENTS & VISITORS
Welcome! This page reflects my academic journey, research contributions, and student mentorship activities in the areas of Machine Learning, Deep Learning, AI for Healthcare, Software Engineering, Large Language Modelling, and Agentic AI . I strongly believe in continuous learning, innovation, and collaborative research to solve real-world challenges.

Students are encouraged to explore research with curiosity, build practical solutions, and maintain consistency in learning. Visitors, collaborators, and researchers are always welcome for academic interaction and knowledge exchange.
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For academic collaboration, research discussions, or student guidance, feel free to write to me at:
priya.singh.academia@gmail.com
“Research is creating new knowledge, but true education is inspiring others to create it.”