1. Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar, Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom, The 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Apr 2024, Kitakyushu, Japan (CORE B).
2. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna, "A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics", 16th Innovations in Software Engineering Conference (ISEC 2023), India
3. Anirudh, Lov Kumar, NL Bhanu Murthy, Aneesh Krishna, "Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers", 16th Innovations in Software Engineering Conference (ISEC 2023), India
4. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, Aneesh Krishna and Srinivas Padmanabhuni "Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction", 18th Internatinal Conference on Novel Approached to Software Engineering (ENASE 2023), Lisbon, Prtugal (CORE B)
5. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni, "Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes", 18th Internatinal Conference on Novel Approached to Software Engineering (ENASE 2023), Lisbon, Prtugal (CORE B)
6. Sahithi Tummalapalli, Lov Kumar, Neti Lalita Bhanu Murthy, "Web Service Anti-patterns Detection Using CNN with Varying Sequence Padding Size", 12th Industry Symposium in Conjunction with 18th ICDCIT 2022, India
7. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach, Applied Informatics, 5th International Conference, ICAI 2022, Arequipa, Peru, October 27–29, 2022
8. Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy, Aneesh Krishna, "Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques, 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2022), Sofia, Bulgaria, September, 2022
9. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, Software Requirements Classification using Deep-learning Approach with Various Hidden Layers, 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2022), Sofia, Bulgaria, September, 2022
10. Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant and Lalita Bhanu Murthy, Software Sentiment Analysis using Machine Learning with Di
    erent Word-Embedding, The 22nd International Conference on Computational Science and its Applications (ICCSA-2022),, University of Malaga, Spain (Accepted) (CORE C) (BEST PAPER Award).
11. Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy, and Prof. Sanjay Misra, Software Functional Requirements Classification using Ensemble Learning, The 22nd International Conference on Computational Science and its Applications (ICCSA-2022),, University of Malaga, Spain (Accepted) (CORE C). 
12. Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati,Lalita Bhanu Murthy, and Prof. Aneesh Krishna, COVID-19 Article Classification using Word-Embedding and Extreme Learning Machine with Various Kernels, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (Accepted) (CORE B)
13. Sahithi Tummalapalli, Lov kumar, and Neti Lalita Bhanu Murthy, Web Service Anti-Patterns Prediction Using LSTM with Varying Embedding Sizes, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (CORE B)
14. Lov Kumar, SIDDARTH BALDWA, SHREYA MANISH JAMBAVALIKAR, and Lalita Bhanu Murthy, Software Functional and Non-Function Requirement Classification using Word-Embedding, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (CORE B)
15. Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy, and Prof. Aneesh Krishna, Predicting Cyber-attacks on IoT Networks using Deep-Learning and Different Variants of SMOTE, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (CORE B)
16. Lov Kumar,Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy, Prof. Sanjay Misra, Vipul Kocher and Srinivas Padmanabhuni, Predicting Software Defect Severity Level using Deep-learning Approach with Various Hidden Layers, 28th International Conference on Neural Information Processing (ICONIP) 2021 (CORE B).
17. ANIRUDH A, AMAN RAJ SINGH, Anjali Goyal, lov kumarand N L Bhanu Murthy , Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques, 18th International Conference on Natural Language Processing, Dec 2021, NIT Silchar, India
18. Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy, Prof. Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni, An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level, 16th Conference on Computer Science and Intelligence Systems, Sofia Bulgaria, FedCSIS 2021, (CORE B) Best Industry Cooperation Award.
19. Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy,  Shashank Mouli Satapathy, Vipul Kocher and Srinivas Padmanabhuni, Deep-learning Approach With DeepXplore for Software Defect Severity Level Prediction, The 21st International Conference on Computational Science and its applications (ICCSA 2021), Cagliari, Italy, Sep 2021 (CORE C).
20. Sahithi Tummalapalli, Lov Kumar,  Lalita Bhanu Murthy, and Santanu Kumar Rath, Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics, The 34th International Conference on Computer Applications in Industry and Engineering (CAINE 2021) (CORE C).
21. Sahithi Tummalapalli, Lov Kumar,  Lalita Bhanu Murthy, An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques, The 21st International Conference on Computational Science and its applications (ICCSA 2021), Cagliari, Italy, Sep 2021  (CORE C). 
22. Sahithi Tummalapalli, Lov Kumar,  Lalita Bhanu Murthy, Shashank Mouli Satapathy, Vipul Kocher and Srinivas Padmanabhuni, A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques, The 21st International Conference on Computational Science and its applications (ICCSA 2021), Cagliari, Italy, Sep 2021 (CORE C). 
23. Himanshu Gupta, Lov Kumar, Lalita Bhanu Murthy Neti "Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell", The 2021 International Conference on Computational Science and Its Applications (ICCSA 2021), to be held from September 13-16, 2021 in University of Cagliari, Italy (CORE C)
24. Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher and Srinivas Padmanabhuni, “Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning”, Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2021), Sep 2021 in Palermo, Italy (CORE B).
25. An efficient approach to kNN algorithm for IoT devices, Bhavesh Gawri, Anirudh Kasturi, Lalita Bhanu Murthy Neti, Chittaranjan Hota , 14th International Conference on COMmunication Systems & NETworkS, January '22, Bengaluru, India
26. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy and Santanu Ku. Rath “An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction”, 14th Innovations in Software Engineering Conference (ISEC 2021), 25^th Feb to 27^th Feb 2021, India.
27. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, and Aneesh Krishna "An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction", 22nd IEEE International Conference on High Performance Computing and Communications (HPCC 2020), 14^th Dec to 16^th Dec 2020, FIJI (CORE B).
28. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, and Aneesh Krishna "Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers" 27th International Conference on Neural Information Processing (ICONIP 2020), 18^th Nov to 20^th Nov 2020, Bangkok (CORE A).
29. Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Nisarg Kotak, Lalita Bhanu Murthy Neti, Aruna Malapati: Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection, ACM India Joint International Conference on Data Science & Management of Data- 8th ACM IKDD CODS and 26th COMAD (CODS-COMAD 2021) be held in Bangalore, India during January 2-4, 2021 (CORE B).
30. Himanshu Gupta, Sanjay Misra , Lov Kumar and N L Bhanu Murthy "An Empirical Study to Investigate Data Sampling Techniques for Improving Code Smell Prediction using Imbalanced Data", ICTA 2020 : 3rd International Conference on Information and Communication Technology and Applications, 23 -27 Nov, 2020,
31. Himanshu Gupta, Tanmay Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti and Aneesh Krishna "An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models", The 35-th International Conference on Advanced Information Networking and Applications (AINA-2021), to be held from May 12, 2021 to May 14, 2021 at Ryerson University, Toronto, Canada, (CORE B)
32. Tummalapalli, L. Kumar and L. B. Murthy Neti, "An Effective Web Service Anti-Pattern Prediction Model Using SMOTE," 2019 IEEE 16th India Council International Conference (INDICON), December 13 to 15, 2019, Rajkot, India, 2019, pp. 1-4.
33. Lov Kumar, Chinmay Hota, Arvind Mahindru, and Lalita Bhanu Murthy Neti, "Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions",The 15th Asian Internet Engineering Conference Andaman Cannacia Resort and Spa Hotel, Kata Beach, Phuket, August 2019
34. Sahithi Tummalapalli, Lov Kumar, and Lalita Bhanu Murthy Neti, “Prediction of Web Service Anti-patterns Using Machine Learning Framework“, 13^th Innovations in Software Engineering Conference, ISEC, Jabalpur, M.P, India, Feb 27-29, 2020. (Ph.D. Symposium)
35. Sahithi Tummalapalli, Lov Kumar, and Lalita Bhanu Murthy Neti, “Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques“, 13^th Innovations in Software Engineering Conference, ISEC, Jabalpur, M.P, India, Feb 27-29, 2020. (Research Track)
36. Vamsi Krishna Aribandi., Lov Kumar., Lalita Bhanu Murthy Neti., Aneesh Krishna(2019), Prediction of Refactoring-Prone Classes Using Ensemble Learning, International Conference on Neural Information Processing (ICONIP 2019), Sydney, Australia, 12^th to 15^th Dec 2019 (CORE B conference).
37. Tummalapalli, L. Kumar and L. B. M. Neti, "An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques," 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), 13th – 15th March, 2019, Jaipur, India, 2019, pp. 137-143.
38. Morabia, N.L. Bhanu Murthy, A. Malapati, S. S. Samant: SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop (NAACL-HLT (SRW)), Minneapolis, June 2–June 7, 2019: pp. 77-85. ACL. DOI: 10.18653/v1/N19-3011, (CORE A).
39. Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti and Janani Padmanaban, “Empirical Study on the Distribution of Object-oriented Metrics in Software Systems”, 9th International Conference on Information Society and Technology ICIST(2019), 10^th Mar to 13^th Mar 2019, Serbia
40. Chinmay Hota, Lov Kumar, and Lalita Bhanu Murthy Neti, "An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction",25th International DMS Conference on Visualization and Visual Languages (DMSVIVA2019), July 8 - 9, 2019, Lisbon, Portugal
41. Himanshu Gupta, Lov Kumar, and Lalita Bhanu Murthy Neti, “An Empirical Framework for Code SmellPrediction using Extreme Learning Machine ”,9th Information Technology, Electromechanical and Microelectronics Conference (IEMECON 2019), 13th – 15th March, 2019, Jaipur, India (Best Paper Award).
42. Lov Kumar, Shashank Mouli Satapathy, and Lalita Bhanu Murthy Neti, “Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques”,12th Innovations in Software Engineering Conference (ISEC 2019), 14th to 16^th Feb 2019, Pune, India. 
43. Lov Kumar, Sangeeta Lal, Anjali Goyal, and Lalita Bhanu Murthy Neti, “Change-Proneness of Object -Oriented Software using Combination of Feature Selection Techniques and Ensemble Learning Techniques ”, 12th Innovations in Software Engineering Conference (ISEC 2019), 14th to 16^th Feb 2019, Pune, India.
44. Manish K Tripathi, Divyanshu Chaubisa, Lov Kumar, and Lalita Bhanu Murthy Neti, “Prediction of Quality of Service Parameters Using Aggregate Software Metrics and Machine Learning Techniques”, 15th Annual IEEE India Conference (INDICON 2018), 16^th to 18^th 2018, India. 
45. S. Samant, N. L. Bhanu Murthy, A. Malapati: CapAct: A Wordnet-Based Summarizer for Real-World Events from Microblogs. 14th International Conference on Distributed Computing and Internet Technology (ICDCIT), Bhubaneswar, January 11–13, 2018, pp. 306-314. Springer LNCS, (CORE C).
46. SaiKiranmai Gorla, Sriharshitha Velivelli, N. L. Bhanu Murthy, Aruna Malapati, Named Entity Recognition for Telugu News Articles using Naïve Bayes Classifier, In: NewsIR@ ECIR. pp. 33–38, Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018) Grenoble, France, March 26, 2018        
47. SaiKiranmai, SriHarsitha, Dipal Kumar, N L Bhanu Murthy, Aruna Malapati: Named Entity Recognition using Part-of-Speech Rules for Telugu. Proceedings of the 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018), NIT Silchar 04 - 06 June 2018, Scopus, Springer (2018) (Best Paper Award)
48. Aniketh Janardhan, Monica, SaiKiranmai, N L Bhanu Murthy, Aruna Malapati: Named entity recognition for telugu using lstm-crf. Proceedings of the Eleventh International Conference
49. on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), 7-12 May 2018, Paris, France (CORE B)
50. Jinu M Sunil, Lov Kumarand Lalita Bhanu Murthy Neti, ''Bayesian Logistic Regression for software defect prediction'', 30th International Conference on Software Engineering and Knowledge Engineering (SEKE 2018), July 1 - July 3, 2018, San Francisco Bay, USA. (CORE B)
51. S. Samant, N.L. Bhanu Murthy, A. Malapati: Bigram-based Features for Real-world Event Identification from Microblogs. 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi, 2017, pp. 1-6, IEEE. DOI: 10.1109/ICCCNT.2017.8204004
52. S. Samant, N.L. Bhanu Murthy, A. Malapati: A Novel Method for Summarization and Evaluation of Messages from Twitter, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR), Bangalore, 2017, pp. 1-6. IEEE. DOI: 10.1109/ICAPR.2017.8592951,(CORE C)
53. SaiKiranmai, Aditya Chandrashekhar, N L Bhanu Murthy, Aruna Malapati: Telneclus: Telugu named entity clustering using semantic similarity, International conference on Computational Intelligence 2017(ICCI 2017) 6-8th Dec 2017 IIT Kanpur, In: Computational Intelligence: Theories, Applications and Future Directions-Volume II, pp. 39–52. Springer (2019)
54. SaiKiranmai, N L Bhanu Murthy, Aruna Malapati: A comparative study of named entity recognition for telugu. In: Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation. pp. 21–24. ACM (2017)
55. Muthukumaran, K., Amrita Dasgupta, Shirode Abhidnya and Bhanu Murthy, N.L., On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction "Advances in Intelligent Systems and Computing." 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016, Springer International Publishing.
56. Muthukumaran, K., Suri Srinivas, Aruna Malapati, and Bhanu Murthy, N.L., Software Defect Prediction using Augmented Bayesian Networks. "Advances in Intelligent Systems and Computing." 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016, Springer International Publishing.
57. Ramarao, P., Muthukumaran, K., Dash, S. and Bhanu Murthy, N.L., 2016, April. Impact of Bug Reporter's Reputation on Bug-Fix Times. In 2016 International Conference on Information Systems Engineering (ICISE) (pp. 57-61). IEES, Los Angeles, USA.
58. Tathagata Ray, Aruna Malapati and Bhanu Murthy N.L., "Teaching Computer Programming using MOOCs in multiple campuses: Challenges and Solutions" Proc. 8th IEEE conference on Technology For Education (T4E), 2-4th Dec 2016, IIT Powai, Mumbai, India. 

 Publications prior to 2016

1. Muthukumaran, K., Rallapalli, A. and Bhanu Murthy, N.L., 2015, February. Impact of feature selection techniques on bug prediction models. In Proceedings of the 8th India Software Engineering Conference (pp. 120-129). ACM.
2. Muthukumaran, K., Choudhary, A. and Bhanu Murthy, N.L., 2015, January. Mining GitHub for Novel Change Metrics to Predict Buggy Files in Software Systems. In Computational Intelligence and Networks (CINE), 2015 International Conference on Computational Intelligence and Networks (pp. 15-20). IEEE, India.
3. Purkayastha, A. Rallapalli, N.L. Bhanu Murthy, A. Malapati, P. Yogeeswari, D. Sriram, EFFECT OF FEATURE SELECTION ON KINASE CLASSIFICATION MODELS in Computational Intelligence in Medicial Informatics, Springer Singapore, 2015.
4. Muthukumaran, K., Bhanu Murthy N.L., Reddy, G.K. and Aruna, M., 2013, October. Comparative study on effectiveness of standard bug prediction approaches. In Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop (p. 9). ACM (Best Paper – Runner)
5. Aruna Malapati, Bhanu Murthy N.L., “Performance of students across assessment methods and courses using Correlation analysis”, IEEE International Conference on MOOC, Innovation and Technology in Education (MITE) 2013, Dec 20-23,2013,Jaipur,India