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Tenvir Ali

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Tenvir Ali

Assistant Professor
PhD

Research Supervision Capacity

PHD Completion Year
2017
Specialization
-

PHD Supervision Capacity
5
Current PhD Students
5
Currently PHD Consent
0
Current MS/M.Phil Students
0

About Me

klj;jl;lasL;SKJXL;JsxTENVIR ALI received the Ph.D. degree from the Department of Information and Communication, Yeungnam University, South Korea. He is currently a Faculty Member of the Department of Computer Science, The Islamia University of Bahawalpur. His research interests include search engine optimization, computer vision, deep learning, and blockchain.TENVIR ALI received the Ph.D. degree from the Department of Information and Communication, Yeungnam University, South Korea. He is currently a Faculty Member of the Department of Computer Science, The Islamia University of Bahawalpur. His research interests include search engine optimization, computer vision, deep learning, and blockchain.TENVIRALIreceivedthePh.D.degreefrom
theDepartmentofInformationandCommunica-
tion,YeungnamUniversity,SouthKorea.Heis
currentlyaFacultyMemberoftheDepartment
ofComputerScience,TheIslamiaUniversityof
Bahawalpur.Hisresearchinterestsincludesearch
engineoptimization,computervision,deeplearn-TENVIRALIreceivedthePh.D.degreefrom
theDepartmentofInformationandCommunica-
tion,YeungnamUniversity,SouthKorea.Heis
currentlyaFacultyMemberoftheDepartment
ofComputerScience,TheIslamiaUniversityof
Bahawalpur.Hisresearchinterestsincludesearch
engineoptimization,computervision,deeplearn-TENVIRALIreceivedthePh.D.degreefrom
theDepartmentofInformationandCommunica-
tion,YeungnamUniversity,SouthKorea.Heis
currentlyaFacultyMemberoftheDepartment
ofComputerScience,TheIslamiaUniversityof
Bahawalpur.Hisresearchinterestsincludesearch
engineoptimization,computervision,deeplearn-

Contact Info

Email
tenvir.ali@iub.edu.pk
Mobile #
0330798845
Location
H. # 2, TQWA COLONY LINK ROAD RAFI GARDEN

Research Publication

1. Amir Jamshaid1, Tenvir Ali1, Muhammad Sajid1,2, Maryam Mazher2, Liliana Chanona-Hernandez3,*. 2026. “Knowledge-Based Query Suggestions for Retrieval Improvement.” Computación y Sistemas, 0. https://doi.org/10.13053/CyS-30-2-6490

2. Arshed, Muhammad Asad and Ibrahim, Muhammad and Mumtaz, Shahzad and Ali, Tenvir and Choi, Gyu Sang. 2024. “Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images.” Institute of Electrical and Electronics Engineers (IEEE) 12. https://doi.org/10.1109/ACCESS.2024.3382936

3. Ali, Muhammad Zaman and Riaz, Omer and Hasnain, Hafiz Muhammad and Sharif, Waqas and Ali, Tenvir and Choi, Gyu Sang. 2024. “Elevating Image Steganography: A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities.” Tech Science Press 79. https://doi.org/10.32604/cmc.2024.049139

4. Khan, Maham and Adnan Shah, Syed and Ali, Tenvir and Quratulain and Khan, Aymen and Sang Choi, Gyu. 2022. “Brain Tumor Detection and Segmentation Using RCNN.” Tech Science Press 71. https://doi.org/10.32604/cmc.2022.023007

5. Iftikhar, Muhammad and Riaz, Omer and Ali, Tanvir and Mumtaz, Shahzad and Sharif, Waqas and Arshad, Humaira. 2021. “Traffic Light Detection: A cost effective approach.” VFAST Research Platform 9. https://doi.org/10.21015/vtse.v9i4.836

6. Sharif, Waqas and Mumtaz, Shahzad and Shafiq, Zubair and Riaz, Omer and Ali, Tenvir and Husnain, Mujtaba and Choi, Gyu Sang. 2019. “An Empirical Approach for Extreme Behavior Identification through Tweets Using Machine Learning.” MDPI AG 9. https://doi.org/10.3390/app9183723

7. Ali, Tenvir and Jhandir, Zeeshan and Lee, Ingyu and On, Byung-Won and Choi, Gyu. 2017. “Evaluating Retrieval Effectiveness by Sustainable Rank List.” MDPI AG 9. https://doi.org/10.3390/su9071203

8. Ali, Tenvir and Jhandhir, Zeeshan and Ahmad, Awais and Khan, Murad and Khan, Arif Ali and Choi, Gyu Sang. 2017. “Detecting fraudulent labeling of rice samples using computer vision and fuzzy knowledge.” Springer Science and Business Media LLC 76. https://doi.org/10.1007/s11042-017-4472-9

9. Jhandir, Z, Ali Tenvir , On, B. W., Lee, I., Choi, G. S. 2017. “Controversy detection in Wikipedia using semantic dissimilarity.” Information Sciences 0. http://dx.doi.org/10.1016/j.ins.2017.08.037