Assistant Professor
Specialization: Software Engineering
Qualification: B.E (Information Technology), M.Tech (Software Engineering)
Introduction:
Ms. Wasiha Tasneem is an Assistant Professor of School of Technology Management & Engineering, NMIMS Hyderabad. She holds Master's degree from JNTU, Hyderabad and Bachelor of Engineering from reputed Osmania University, Hyderabad. She is certified International Engineering Educator from Indo Universal Collaboration for Engineering Education. She has 8+ years of teaching experience that includes training students in various programming languages and various Core Computer Science and Engineering platforms.
Research and Publications:
- "Autonomic Computing using clouds.” D Wasiha Tasneem, Shabnam Arya, Dr V S Giridhar Akuala. International Journal of Advanced Trends in Computer Science and Engineering, Vol.2, No.1, Pages: 353 – 356. Jan 2013
- "Data Sovereignty in Business Management.” D Wasiha Tasneem, C Guru Sunanda. Vol. 83 March/April 2020. (SCOPUS-Elsevier)
- "Identifying advanced attacks in Virtualized Infrastructure in Cloud computing using Big data analytics.” M.Safiya Masroor, D.Wasiha Tasneem
- "A Report on Big Data Analysis in the Development Sector.” V.Satish Kumar, D.Wasiha Tasneem, Shaik Neeha. International Journal of Computer Science Trends and Technology (IJCST) – Volume 5 Issue 4.Aug - 2017
- "Inter-Flow Spatial Reusability of Routing Algorithms in Multi-Hop Wireless Networks.” Mudiyam Supraja , D.Wasiha Tasneem. Aug-2017
- "A Novel Pervasive Computing for Mobile Based on Efficient Authentication System.” Sameena Yousuff, D. Wasiha Tasneem. International Journal of Innovative Technologies ISSN 2321-8665. Aug 2015.
- "Deep Web Analytics.” D Wasiha Tasneem, Shaik Neeha. International Journal of Trend in Research and Development (ISSN: 2394-9333). Dec- 2017.
- "AWS Cloud Infrastructure vs Traditional On-Premise.” Suchitra Landgey, D Wasiha Tasneem. International Journal of Research Publication and Reviews (ISSN 2582-7421). Dec-2022
Patent Publication (Certificate of Grant) Patent number: 202241043868
Title of the Invention: Real Time Monitoring, Detection and Early Warning System for Potential Landslides Using Internet of Things and Cloud Computing Technology.
Interest Areas:
Data & Analytics, Artificial Intelligence, Deep Learning
