Dr. Sk Althaf Hussain Basha
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Dr. Sk Althaf Hussain Basha

Professor and Vice Principal
A1 Global Institute Of Engineering & Technology, India


Highest Degree
Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University, India

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Biography

Dr. SK Althaf Hussain Basha did his Ph.D in Computer Science and Engineering from Acharya Nagarjuna University, Guntur. He obtained his M.Tech in Computer Science and Engineering from JNTU, Hyderabad. He did his M.Sc (Computer Science) from Acharya Nagarjuna University, Guntur. He obtained B.Sc (Computer Science) from Acharya Nagarjuna University, Guntur.

Area of Interest:

Computer Sciences
100%
Computer Engineering
62%
Information Technology
90%
Computer Application
75%
Computer Languages
55%

Research Publications in Numbers

Books
10
Chapters
12
Articles
49
Abstracts
24

Selected Publications

  1. Lalitha, Y.S., A.H. Basha Sk and M.V.A. Nag, 2021. Neural network modelling of speech emotion detection. E3S Web Conf., Vol. 309. 10.1051/e3sconf/202130901139.
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  2. Basha, S.A.H., C. Sowmya and P.Y. Khan, 2019. Primary set and protection service IS transform data distribution in cloud techniques. Int. J. Recent Issues Comput. Sci. Electron., 5: 9-12.
  3. Chand, B.S.P., Y. Vijayalata and S.A.H. Basha, 2018. Holistic optimization by prefetching query results. J. Emerg. Technol. Innovative Res., 5: 6-10.
    Direct Link  |  
  4. Basha, S.A.H., 2018. Study of education patterns in rural and urban India using association rule mining: Implementation. Int. J. Scient. Res. Comput. Sci. Eng. Inform. Technol., 3: 578-588.
    Direct Link  |  
  5. Basha, S.A.H., 2018. Student Performance Using Data Mining Techniques: Innovative Study. LAMBERT Academic Publishing, Germany, ISBN: 978-613-8-39021-3.
  6. Sreedhar, J., S.A.H. Basha, D.P. Kumar, A. Jagan and B. Kaushik, 2017. NLP: Context free grammars and parse trees for disambiguiting Telugu language sentences. Int. J. Scient. Res. Comput. Sci. Eng. Inform. Technol., 2: 332-337.
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  7. Sreedhar, J., S.A.H. Basha, D.P. Kumar, A. Jagan and B. Kaushik, 2017. Empirical analysis of context sensitive grammars and parse trees for disambiguiting Telugu language sentences. Int. J. Scient. Res. Comput. Sci. Eng. Inform. Technol., 2: 328-331.
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  8. Sreedhar, J., S. Dara, B. Kaushik and S.A.H. Basha, 2017. Sequence labeling for three word disambiguation in Telugu language sentences. Int. J. Scient. Res. Comput. Sci. Eng. Inform. Technol., 2: 311-315.
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  9. Sreedhar, J., A. Jagan, S.A.H. Basha, B. Kaushik and D.P. Kumar, 2017. Sequence labeling for two word disambiguation in Telugu language sentences. Int. J. Scient. Res. Comput. Sci. Eng. Inform. Technol., 2: 323-327.
    CrossRef  |  Direct Link  |  
  10. Basha, S.A.H., Y.R.R. Kumar, B. Sasidhar and A. Govardhan, 2017. Review on association mining techniques used for higher education system domain. Int. J. Adv. Comput., 7: 61-71.
  11. Basha, S.A.H. and A. Mariyam, 2017. An approach to big data analytics and its significance. Online Int. Interdiscipl. Res. J., 7: 75-83.
  12. Gera, P.K., S.A.H. Basha and K.S. Rao, 2014. Analyzing education data through association rules: A case study. Int. J. Adv. Treand Comput. Sci. Eng., 3: 161-166.
    Direct Link  |  
  13. Devarakonda, N., S. Subhani and S.A.H. Basha, 2014. Outliers Detection in Regression Analysis Using Partial Least Square Approach. ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II 10.1007/978-3-319-03095-1_14 http://dx.doi.org/10.1007/978-3-319-03095-1_14.
    CrossRef  |  
  14. Basha, S.A.H., P.M. Yohan, B. Sasidhar and S. Muneer, 2014. Taxonomy of e-learning systems problems with data mining techniques-review. ZENITH Int. J. Multidiscipl. Res., 4: 136-147.
    Direct Link  |  
  15. Yohan, P.M., B. Sasidhar, S.A.H. Basha and A. Govardhan, 2013. Automatic named entity identification and classification using heuristic based approach for Telugu. Int. J. Comput. Sci., 11: 173-180.
    Direct Link  |  
  16. Basha, S.A.H., T. Anusha and K.B. Raju, 2013. An object oriented approach to dynamic en-route filtering scheme for data reporting in wireless sensor networks. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 1238-1244.
  17. Basha, S.A.H., C. Prakash, D. Mounika and G. Maheetha, 2013. An approach for multi instance clustering of student academic performance in education domain. IIJDWM. J., 3: 1-9.
  18. Basha, S.A.H., S. Muneer, E.S. Reddy and I.R. Babu, 2012. Robust watermarking method for any images based on noise density. Int. J. Adv. Comput., 4: 114-121.
  19. Basha, S.A.H., A. Govardhan, Y.R.R. Kumar and M.Z. Ahmed, 2012. Predicting student academic performance using temporal association mining. Int. J. Inform. Syst. Educ., 2: 21-41.
  20. Basha, S.A.H., A. Govardhan, S. Muneer and V.U. Kumar, 2012. Generate eligible students using decision trees-a frame work for employee ability. Int. J. Adv. Comput., 4: 68-76.
  21. Basha, S.A.H., A. Govardhan, Y.R.R. Kumar and M.Z. Ahmed, 2011. Study of education patterns using association mining. Int. J. Data Warehousing, 3: 53-64.
  22. Basha, S.A.H. and A. Govardhan, 2011. MICR: Multiple instance cluster regression for student academic performance in higher education. Int. J. Comput. Applic., 14: 23-29.
  23. Basha, S.A.H. and A. Govardhan, 2010. A comparative analysis of prediction techniques for predicting graduate rate of university. Eur. J. Scient. Res., 46: 186-193.
  24. Basha, S.A.H. and A. Govardhan, 2009. Rank analysis through polyanalyst using linear regression. Int. J. Comput. Sci. Network Secur., 9: 290-293.