Dr. Anu Bajaj

Assistant Professor

Specialization

Applications of Nature-Inspired Algorithms and Image Processing

Email

anu.bajaj@thapar.edu

Specialization

Applications of Nature-Inspired Algorithms and Image Processing

Email

anu.bajaj@thapar.edu

Education
•    PhD in Computer Science and Engineering from Guru Jambheshwar University of Science and Technology, Hisar, Haryana
•    M. Tech in Computer Science and Engineering from Guru Jambheshwar University of Science and Technology, Hisar, Haryana
•    MBA in Human Resource Management from Guru Jambheshwar University of Science and Technology, Hisar, Haryana
•    B. Tech in Computer Science and Engineering, from Guru Jambheshwar University of Science and Technology, Hisar, Haryana

Trainings
•    Certified Microsoft Technology Associate in Introduction to Programming using Python from September, 2021.                      
•    Certifications in various STCs/FDPs/Workshops/GIAN courses from organizations like IIT Roorkee, IIT Kanpur, NIT Jalandhar, etc.

• Experience
1.    Assistant Professor, Computer Science Department, Thapar University Patiala, India (July 2022 - present).
2.    Post-Doctoral Research Fellow, Machine Intelligence Research Labs, USA (September 2021-August, 2022)
3.    Research Associate, Machine Intelligence Research Labs, USA (March 2021-August 2021)

Journal publications
1. Anu Bajaj and Om Prakash Sangwan. "Discrete cuckoo search algorithms for test case prioritization." Applied Soft Computing 110 (2021), p. 107584. Elsevier (SCIE indexed, Impact factor: 8.263)
2. Anu Bajaj, Ajith Abraham, Saroj Ratnoo, Lubna Abdelkareim Gabralla. "Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization." Sensors vol. 22, no. 12 (2022), p. 4374. (SCIE indexed, Impact factor: 3.847)
3. Anu Bajaj, Om Prakash Sangwan, and Ajith Abraham. "Improved novel bat algorithm for test case prioritization and minimization." Soft Computing (2022), pp. 1-27. (SCIE indexed, Impact factor: 3.732)
4. Anu Bajaj and Om Prakash Sangwan. "A systematic literature review of test case prioritization using genetic algorithms." IEEE Access 7 (2019), pp. 126355-126375. (SCIE indexed, Impact factor: 4.098)
5. Anu Bajaj and Om Prakash Sangwan. "Tri-level regression testing using nature-inspired algorithms." Innovations in Systems and Software Engineering, vol. 17 no. 1 (2021), pp. 1-16. (Emerging SCI, Scopus Indexed)
6. Anu Bajaj and Om Prakash Sangwan. “Test Case Prioritization Using Bat Algorithm”, Recent Advances in Computer Science and Communications, vol. 14, no. 2, 2021, pp. 593-598. (Scopus Indexed) 
7. Anu Bajaj, and Om Prakash Sangwan. “Discrete and Combinatorial Gravitational Search Algorithms for Test Case Prioritization and Minimization”, International Journal of Information Technology, vol. 13 (2021), pp. 817-823. (Scopus Indexed)
8. Anu Bajaj, and Ajith Abraham. “Prioritizing and Minimizing Test Cases Using Dragonfly Algorithms”. International Journal of Computer information Systems and Industrial Management Applications. Vol. 13 (2021), pp. 062-071. (Scopus Indexed)
9. Anu Bajaj. “Review on Watermarking Techniques: A Unique Approach for Digital Image Protection”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 4, no. 5 (2014), pp. 763-773. 
10. Anu Bajaj, 2014. “Comparative Analysis of Digital Image Watermarking Techniques-SVD Based Algorithms in Different Wavelet Domains”, International Journal of Computer Science and Engineering Technology, vol. 5, no. 6, pp. 659-667. 

International Conferences:
1. Anu Bajaj and Ajith Abraham. “Test Case Prioritization and Minimization Using Hybrid Quantum Behaved Particle Swarm Optimization”. IEEE Congress on Evolutionary Computation (IEEE CEC), 2022. (A* Conference) (Scopus Indexed) 
2. Kapila Devi, Saroj Ratnoo, Anu Bajaj. “Impact of Socio-economic Factors on Students’ Academic Performance: A Case Study of Jawahar Navodaya Vidyalaya”. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419 (2022), Springer, Cham. (Scopus Indexed) 
3. Anu Bajaj and Om Prakash Sangwan. “A Survey on Regression Testing using Nature-Inspired Approaches”, Proceedings of 4th International Conference on Computing, Communication and Automation (ICCCA), 2018, pp. 1-5, IEEE. (Scopus Indexed) 
4. Anu Bajaj and Om Prakash Sangwan. “Aspect Oriented Software Testing” 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, 2017, pp. 809-814, IEEE. (Scopus Indexed)
5. Anu Bajaj. “Robust and Reversible Digital Image Watermarking Techniques based on RDWT-DCT-SVD”, 2014 International Conference on Advances in Engineering and Technology Research (ICAETR), 2014, pp. 1-5, IEEE. (Scopus Indexed)
6. Anu Bajaj and Om Prakash Sangwan. “Study the Impact of Parameter Settings and Operators Role for Genetic Algorithm Based Test Case Prioritization”, Proceedings of International Conference on Sustainable Computing in Science, Technology and Management, 2019, pp. 1564-1569, Elsevier.
7. Anu Bajaj. “NextGen of Voting System-Internet Voting”, International Conference on Recent Trends in Computer, Communication, Control Engineering and Applications, 2013, pp. 1-5. (Presented).

Edited Book Chapters:
1. Anu Bajaj and Om Prakash Sangwan. “Nature-Inspired Approaches to Test Suite Minimization for Regression Testing”, In Computational Intelligence Techniques and Their Applications to Software Engineering Problems, 2020, pp. 99-110. CRC Press. 
2. Anu Bajaj, Tamanna Sharma, and Om Prakash Sangwan. “Information Retrieval in Conjunction with Deep Learning”. In Handbook of Research on Emerging Trends and Applications of Machine Learning, 2020, pp. 300-311. IGI Global. 
3. Tamanna Sharma, Anu Bajaj, and Om Prakash Sangwan. “Deep Learning Approaches for Textual Sentiment Analysis.” In Handbook of Research on Emerging Trends and Applications of Machine Learning, 2020, pp. 171-182. IGI Global.

Edited Book:
Ajith Abraham, Ana Maria Madureira, Arturas Kaklauskas, Niketa Gandhi, Anu Bajaj, Azah Kamilah Muda, Dalia Kriksciuniene, Joao Carlos Ferreira, 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021), Springer Verlag, ISBN 9783030962982, 2021.

Other activities
•    Editor in Engineering Applications of Artificial Intelligence, Elsevier (SCIE Indexed, Impact Factor 7.802)
•    Reviewer of several reputed SCIE indexed journals like IEEE Transactions on Cybernetics, IEEE Access, Soft Computing Journal, Journal of Computational Design and Engineering, Innovations in Systems and Software Engineering Journal.
•    Member of IEEE and ACM. 
•    Organizing committee member of the 22nd International Conference on Intelligent Systems Design and Applications (ISDA’22) 
•    Organizing committee member of the 22nd International Conference on Hybrid Intelligent Systems (HIS'22)
•    Organizing committee member of the 18th International Conference on Information Assurance and Security (IAS 2022)
•    Organizing committee member of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)
•    Organizing committee member of the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022)
•    Organizing committee member of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22)
•    Organizing committee member of the 12th World Congress on Information and Communication Technologies (WICT'22)
•    Invited talk at KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India (August, 2022)
•    Invited talk at AJK College of Arts and Science, Coimbatore, Tamil Nadu, India (September 2021
 

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