Invited Talk

Invited Talk 

1. Five Day Online FDP on AI and ML Based Approaches and Their Applications: Software Fault Prediction using Genetic Algorithm with Ensemble Learning, School of Computer Science and Engineering (SCOPE), VIT-AP University, Andhra Pradesh, Mar 29, 2023. 

2. High End Workshop on ”Artificial Intelligence Techniques for Reliability and Security Analysis of Software Systems”: Case Study using Genetic AlgorithmSoftware Fault Prediction using Genetic Algorithm with Ensemble Learning, ABV-IIITM Gwalior, Mar 4, 2023. 

3.  E&ICT FDP on Optimization Techniques: Theory, Practice and Emerging Applications (OT2PEA): Case Study using Genetic Algorithm, NIT Warangal, Feb 8, 2023. 

4. 5 Days Online FDP on Machine Learning Application on Health Care: Why Machine Learning used in health care?, SBCET, Jaipur, India, Jan 20, 2023. 

5. 5 Full Days Online FDP on Machine Learning: Application of Machine Learning, SR University, India, Dec 27-31, 2022. 

6. International Conference on Data Science, Agents and Artificial Intelligence - ICDSAAI 2022: Tutorial Session on Application of AI Techniques, Chennai Institute of Technology on Dec 8, 2022. 

7. Seasonal School 2022 under IEEE SPS: Application of Machine Learning for Signal Processing, Chandubhai S Patel Institute of Technology, India, Oct 11, 2022. 

8.  E&ICT FDP on Optimization Techniques: Theory, Practice and Emerging Applications (OT2PEA): Case Study using Genetic Algorithm, NIT Warangal, Aug 23, 2022. 

9. Two-week internship program : Machine Learning—Deep Learning and Its Applications, Poornima College of Engineering, July 26, 2022. 

10. FDP on Machine Learning & its applications: Ensemble Techniques, Baba Ghulam Shah Badshah University, Rajouri, Jammu and Kashmir, India, Apr 1, 2022. 

11. FDP on Data Science Applications in Sciences and Technologies: Selection of Important Features using GA, CVR College of Engineering, Hyderabad, Mar 30, 2022. 

12. Guest Lecture on Recent trends in Software Testing: Recent Trends in Software Testing, Vignan Institute of Technology and Science, Hyderabad, Mar 26, 2022. 

13. Workshop on Enterprise Applications development, Reliability, and Security: Artificial Neural Networks with GA for Software Quality Prediction, ABV-IIITM Gwalior, Feb 6, 2022. 

14. E & ICT FDP on Optimization Techniques: Theory, Practice and Emerging Applications (OT2PEA): Case Study using Genetic Algorithm, NIT Warangal, Jan 25, 2022. 

15. ATAL FDP – Advances in Artificial Intelligence: Selection of Relevant Features using GA,Siksha ’O’ Anusandhan, Jan 24, 2022. E & ICT FDP on Data Science and its Applications: Ensemble of classifiers, NIT Raipur, Chhattisgarh, Jan 17, 2022. 

16. AICTE – Training And Learning (ATAL) Sponsored one week Faculty Development Programme on Natural Language Processing: Word Embedding techniques for Sentiment Analysis, Rajiv Gandhi (Central) University, Nov 11, 2021. 

17. ATAL FDP on ”FDP on Data Science”: Software fault prediction using machine learning and ensemble learning, Maulana Azad National Urdu University (A Central University), Dec 24, 2021. 

18. ATAL FDP on ”FDP on Ability and Inability of AI”: Application of Artificial Intelligence Techniques in Development of Effective Fault Prediction Model, Gandhi Institute for Technology (GIFT), Dec 22, 2021. 

19. ATAL FDP on ”FDP on Applications of Machine Learning (Advanced Level)”: Android Malware Prediction Using Machine Learning Techniques, Rajiv Gandhi (Central) University, Oct 22, 2021. 

20. ATAL FDP on ”Practical Exposure on Machine Learning and Data Science-Phase-2” 2021: Application of Feature Selection Technique in Development of Classification Model, G Pulla Reddy Engineering College, Kurnool, Sept 10, 2021. 

21. ATAL FDP on ”Software Testing: Emerging Trends” 2021: Early Software Fault Prediction and its Impact on Software Testing, Manipal University Jaipur, India, July 27, 2021. • SERI 2021: Deep-learning Approach With DeepXplore for Software Defect Severity Level Prediction, IIT Ropar, India, July 15–17, 2021. 

22. Online FDP on Meta-Heuristic Techniques for Engineering Applications: Case Study using Genetic Algorithm, National Institute of Technology, Warangal Warangal - 506004, Telangana, India, 17th July, 2021. 

23. Online FDP on Artificial Intelligence Applications in Software Engineering: Maintaining Data Repositories and Data pre-processing, National Institute of Technology, Warangal Warangal - 506004, Telangana, India, 9th July, 2021. 

24. One-Week Online AICTE ATAL Approved FDP on Recent Trends in Software Testing: Cost benefits analysis of Software fault prediction models, Vishwakarma Government Engineering College, 15th June, 2021. 

25. Optimization Techniques for Engineering Application: Application of Genetic Algorithm in Development of Effective Fault Prediction Model, NIT Warangal, 15th Apr, 2021. 

26. Evolving Technologies and Recent Trends in Computer Science: Android Malware Prediction using AI, DAV University, Jalandhar, 16th Feb, 2021. 

27. AICTE/ ATAL sponsored One Week Online Faculty Development Programme: Android Malware Prediction using AI, BIT Durg, 18th Jan, 2021. 

28. TEQIP-III sponsored five days online workshop on ”Matlab And It’s Applications”: Introduction to AI, Sri Balaji College of Engineering & Technology, Jaipur, 8th Jan, 2021. 

29. AICTE STTP on Challenges and Application of the Cyber-Physical System: Android Malware prediction using Ensemble Techniques, GIET University, Gunupur, 16th Dec, 2020. 

30. AICTE STTP on Challenges and Application of the Cyber-Physical System: Hands-on session for Android malware prediction using ML techniques, GIET University, Gunupur, 18th Dec, 2020. 

31. Online FDP on Deep-learning: Natural language processing using Word Embedding Techniques, Malla Reddy Engineering College, 11th Dec, 2020. 

32. Online FDP on Data Science Using Python: Natural language processing, Kakatiya University, 2nd Dec, 2020. 

33. Online FDP on Data Science Using Python: Hypothesis Testing, Kakatiya University, 2nd Dec, 2020. 

34. Computer-Society of India Region-IV: Diabetes Prediction Using Machine Learning, Odisha - 518007, 30th Sept, 2020. 

35. AICTE Sponsored Short Term Training Program On Industrial Collaboration in Engineering Education -Phase iii: Machine Learning, St Joseph’s College Of Engineering, Chennai - 518007, 21st - 26th Sept, 2020. 

36. One Week Online Faculty Development Programme on ”AI and Deep Learning”: Effective Fault Prediction Models Developed Using ML Techniques, G. Pulla Reddy Engineering College (Autonomous) Kurnool, Andhra Pradesh - 518007, 22nd - 27th July, 2020. 

37. One Week Online Faculty Development Programme on ”Advances in Signal Processing and Artificial Intelligent Technologies”: Ensemble Methods in AI, G. Pulla Reddy Engineering College (Autonomous) Kurnool, Andhra Pradesh - 518007, 6th - 10th July, 2020. 

38. AI FEST 2020, Natural language processing: ORBIT SHIFTERS, 2020. 

39. AI FEST 2020, How to do Academic Project using AI?: ORBIT SHIFTERS, 2020 (Panel Discussion). 

40. Online AICTE Training and Learning (ATAL) Faculty Development Programme (FDP) on ”Artificial Intelligence (AI)”: Ensemble Methods in AI, National Institute of Technology, Warangal Warangal - 506004, Telangana, India, May 22-26, 2020. 

41. AI FEST: Is AI going to kill jobs or create jobs?, ORBIT SHIFTERS: 2020 (Panel Discussion). 

42. ONLINE WEBINARS: Practical Implementation of Machine Learning, Gnome Publications, 2020. 

43. International Conference on Artificial Intelligence and Machine learning, 2020: Practical Implementation of android malware Prediction Model Developed using Machine Learning, Sri Indu College of Engineering & Technology, Hyderabad, Mar 12-13, 2020 (Tutorial Speaker). 

44. One Week FDP on ”AI Applications in Power Electronic Systems (AAPES-20)”:The Hybrid Approach of NN with GA for Prediction, MUFFAKHAM JAH COLLEGE OF ENGINEERING & TECHNOLOGY, Jan 20-25, 2019. 

45. AICTE Sponsored Two-Week Faculty Development Programme on ”DATA SCIENCE” 2020: Practical Implementation of android malware prediction models using Artificial Intelligence Techniques, Hands-on Training Session on feature selection techniques, Rao Bahadur Y Mahabaleswarappa Engineering College, Ballari (Karnataka), Jan 13-25, 2020.

46.  BIET 2020: Mobile App Development: Bharat Institute of Engineering and Technology, Jan 10, 2020 

47. FDP on Machine learning 2020: Hands-on Training Session on feature selection techniques, CMR College of Engineering & Technology, Hyderabad, India, Jan 9, 2020

48. 15th International Conference on Information Systems Security (ICISS), 2019: Practical Implementation of android malware Prediction Model Developed using Artificial Intelligence Techniques, Python for Data Science, IDRBT, Hyderabad, India, Dec 16-20, 2019 (Tutorial Speaker). 

49. AICTE Sponsored Two-Week Faculty Development Programme on ”Machine Learning and Deep Learning for Real Time Stream Analytics 2019: Practical Implementation of Effective Fault Prediction Model Developed using Artificial Intelligence Techniques, Mepco Schlenk Engineering College, Sivakasi, India, Nov 11-22, 2019.

50. AICTE Sponsored Two-Week Faculty Development Programme on ”Machine Learning” 2019: Practical Implementation of Bayes Learning, Probabilistic Learning Models, Hands-on Training Session on Text Classification Problems, CVR College of Engineering, Hyderabad, India, Nov 18-30, 2019 

51. AICTE Sponsored Two-Week Faculty Development Programme on ”Machine Learning to Deep Learning: Trends & Challenges” 2019: Practical Implementation of Feature Selection Techniques, Data Sampling Techinques, Machine Learning and Ensemble techniques, Lakireddy Bali Reddy College of Engineering, Mylavaram, Vijayawada, Krishna(dt), Andhra Pradesh, Nov 4-16, 2019 

52. National Level an IT Exhibition-St.Ann’s Technocrats 2019: Android Malware prediction using Machine Learning, St.Ann’s Degree & PG College,Hyderabad, Sept 23, 2019 

53. AICTE Sponsored Five days Workshop on ”Artificial Intelligence and its Applications” 2019: Practical Implementation of Machine Learning and Ensemble techniques, Feature extraction and selection, National Institute of Technology Andhra Pradesh, Sept 16-20, 2019 

54. Two Weeks Faculty Development Program (FDP) on ‘Emerging Trends in Machine Learning for Biomedical Applications’ 2019: Practical Implementation of data Preprocessing algorithms, Feature extraction and selection, and Machine Learning and Ensemble techniques, NARASARAOPETA ENGINEERING COLLEGE, India, July 29-Aug 10, 2019 

55. SERI 2019: Android Malware prediction using Source Code Metrics, IISc Bengaluru, India, July 12–13, 2019. 

56. RTST 2019: Android Malware Prediction Using Source Code Metrics and Machine Learning Techniques, BIT Mesra, Ranchi,India. 

57. Tech-Briefing: ISEC 2019, Android Malware Prediction using Source Code Metrics and Machine Learning Techniques, College of Engineering Pune, India. 

58. AiSQA 2019: Co-located with ISEC 2019, Effective Fault Prediction Model Developed using Artificial Intelligence Techniques, College of Engineering Pune, India.

59.  CoSEDS 2018: Effective Fault Prediction Model Developed Using Source Code Metrics, University of Kashmir, Srinagar, India. 

60. Verizon 2018: Application of Artificial Intelligence Techniques in Development of Effective Fault Prediction Model, Hyderabad, India. 

61. RTST 2018: Application of Artificial Intelligence Techniques in Development of Effective Fault Prediction Model, Bhubaneswar, India. 

62. FDP on Data Visualization and Machine Learning using Python, 2018: Effective Fault Prediction Model Developed using Artificial Intelligence Techniques, CVR College of Engineering, Hyderabad, India. 

Paper Presentations 

1. Research paper presented on A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics at 16th Innovations in Software Engineering Conference (ISEC 2023) . 

2. Research paper presented on Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers at 16th Innovations in Software Engineering Conference (ISEC 2023) . 

3. Research paper presented on Software Sentiment Analysis using Machine Learning with Different Word-Embedding at The 22nd International Conference on Computational Science and its Applications (ICCSA-2022) . 

4. Research paper presented on Web Service Anti-Patterns Prediction Using LSTM with Varying Embedding Sizes at The 36th International Conference on Advanced Information Networking and Applications (AINA-2022). 

5. Research paper presented on Software Functional and Non-Function Requirement Classification using Word-Embedding at The 36th International Conference on Advanced Information Networking and Applications (AINA-2022). 

6. Research paper presented on Predicting Software Defect Severity Level using Deep-learning Approach with Various Hidden Layers at The 28th International Conference on Neural Information Processing (ICONIP 2021) . 

7. Research paper presented on Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics at The 34th International Conference on Computer Applications in Industry and Engineering (CAINE 2021) . 

8. Research paper presented on An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level at The 16th Conference on Computer Science and Intelligence Systems (FedCSIS 2021) . 

9. Research paper presented on Deep-learning Approach With DeepXplore for Software Defect Severity Level Prediction at The 21st International Conference on Computational Science and its Applications (ICCSA-2021) . 

10. Research paper presented on A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques at The 21st International Conference on Computational Science and its Applications (ICCSA-2021) . 

11. Research paper presented on Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning at The 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA-2021) . 

12. Research paper presented on An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level at 16th Conference on Computer Science and Intelligence Systems (FedCSIS 2021). 

13. Research paper presented on Sniffing Android Malware using Deep Learning at 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). 

14. Research paper presented on Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers at 27th International Conference on Neural Information Processing (ICONIP2020). 

15. Research paper presented on An Empirical Study to Investigate Different SMOTE Data Sampling Techniques For Improving Software Refactoring Prediction at 27th International Conference on Neural Information Processing (ICONIP2020). 

16. Research paper presented on Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques at 13th Innovations in Software Engineering Conference (ISEC 2020), Jabalpur, India. Lov Kumar 

17. Research paper presented on An Effective Web Service Anti-Pattern Prediction Model Using Smote at 16th Annual IEEE India Conference (INDICON 2019), India. 

18. Research paper presented on Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions at 15th Asian Internet Engineering Conference (AINTEC 2019), Phuket, August 2019. 

19. Research paper presented on Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques at 12th Innovations in Software Engineering Conference (ISEC 2019), Pune, India. 

20. Research paper presented on Change-Proneness of Object-Oriented Software using Using Combination of Feature Selection Techniques and Ensemble Learning Techniques at 12th Innovations in Software Engineering Conference (ISEC 2019), Pune, India (Accepted). 

21. Research paper presented on An Empirical Analysis on Web Service Anti-Pattern Detection using a Machine Learning Framework at 42nd IEEE Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, 2018. 

22. Research paper presented on Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction at 11th Innovations in Software Engineering Conference (ISEC 2018), Hyderabad, India, 2018. 

23. Research paper presented on Neural Network with Multiple Training Methods for Web Service Quality of Service Parameter Prediction at 10 th International Conference on Contemporary Computing (IC3 2017), Delhi, India, 2017. 

24. Research paper presented on Fault Prediction Usefulness from Cost Perspective using Source Code Metrics at 10 th International Conference on Contemporary Computing (IC3 2017), Delhi, India, 2017. 

25. Research paper presented on Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level at 10th Innovations in Software Engineering Conference (ISEC 2017), Jaipur, India, 2017. 

26. Research paper presented on Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness at 10 th Innovations in Software Engineering Conference (ISEC 2017), Jaipur, India, 2017. 

27. Research paper presented on Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software at 18th IEEE International Symposium on High Assurance Systems Engineering (HASE 2017), Singapore, 2017. 

28. Research paper presented on Application of Genetic Algorithm as Feature Selection Technique in Development of Effective Fault Prediction Model at 3 rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON 2016), UP, India. 

29. Research paper presented on Model to Assess the Effectiveness of Fault Prediction Techniques for Quality Assurance at 12th Annual IEEE India Conference (INDICON 2015), New Delhi, 2015. 

30. Research paper presented on Quality Assessment of Web Services using multivariate adaptive regression splines at 22nd Asia-pacific Software Engineering Conference (APSEC 2015), New Delhi, 2015. 

31. Research paper presented on Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept at 8th India Software Engineering Conference (ISEC 2015), Bangalore, 2015. 

32. Research paper presented on Fault Prediction for Apache Open Source Framework using Chidamber and Kemerer Metrics Suite at CONSEG: 7 th International Conference on Software Engineering (CONSEG 2013), Pune, 201 3