A Lakshmanarao
VIDWAN ID: 235708

Mr A Lakshmanarao

Male Master of Technology
Associate Professor | Department of Information Technology
Aditya University
Andhra Pradesh
Expertise: Computer Science Artificial Intelligence
138 Publications
0 Projects
847 Scopus Citations
660 CrossRef
16 Years 1 Month Total Experience
Publications
138 Total
Articles
24
Books
1
Chapters
1
Proceedings
112
Activity

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Scopus Scopus
847 Citations
14 h-index
CrossRef CrossRef
660 Citations
12 h-index
Google Scholar Google Scholar

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Professional Recognition

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Community & Membership

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CSI
Lifetime
Jan 2012
ISTE
Lifetime
Jan 2022

Personal Details

Master of Technology
2007
N/A
Bachelor of Technology
2005
ACADEMY OF SCIENTIFIC AND INNOVATIVE RESEARCH
Associate Professor
Jan 2021 – Present
Aditya University | Department of Information Technology
Assistant Professor
Apr 2019 – Dec 2020
Raghu Engineering College, Dakamarri Village, Bheemunipatnam Mandal,PIN-531162(CC-98)
Assistant Professor
Aug 2010 – Mar 2019
Pragati Engineering College
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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ARTIFICIAL INTELLIGENCE TO IMPROVE SECURITY IN INDIAN BANKING SECTOR

A.Lakshmanarao
- Application No. : 202211013168 A Filed : 10-03-2022
Published : 18-03-2022 Published

Scholarly Publications

An Efficient Multi-Label Hate Speech Detection Model Based on Undersampling and Deep Transformer Model

Conference Paper
Year: 2025. Pages: 1-6 .
Authors: Kumar, J.D.S.; Sakunthala, K.; Krishna Kanth Varma, P.; Theja, A.S.S.P.; Lakshmanarao, A.; Kumar, V.T.R.P.

Multi-Scale Temporal Feature Learning for Stress State Prediction using CNN-LSTM on WESAD Physiological Signals

Conference Paper
Year: 2025. Pages: 2066-2071 .
Authors: Y.V.R. Naga Pawan; Srinivas Kalime; Purna Chandra Rao Kandimalla; V Thirupathi; A.Lakshmana Rao; Jajimoggala Sravanthi

An Advanced Multi-Class Sentiment Classification Framework Combining BERT, RNN Architectures and Attention Mechanism

Conference Paper
Year: 2026. Pages: 40-51 .
Authors: Khedkar, V.; Chirumamilla, P.S.; Prakash, C.B.; Sowjanya, N.V.S.; Tulasi, T.R.; Lakshmana Rao, A.

Expression of Concern: Advanced Hybrid Transfer Learning Approaches for Autism Spectrum Disorder Detection Using Facial Features (Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024 DOI: 10.1109/ICDICI62993.2024.10810869)

Conference Paper
Year: 2024. Pages: 1-1 .
Authors: Vinti, S.L.K.; Panduri, B.; Khedkar, V.; Ketha, M.B.; Lakshmanarao, A.; Srivalli, T.

An Efficient Hybrid Deep Learning Model for Diabetic Retinopathy Detection Using Fundus Images

Conference Paper
Year: 2026.
Authors: Geeta Tripathi; P.Pratima Rani; Vullam Nagagopiraju; Ch.Siva Subrahmanyam; A.Lakshmanarao; P Chandra Sekhar Reddy

Enhancing Diabetes Prediction with Hybrid Traditional and Quantum Machine Learning Models

Conference Paper
Year: 2026. Pages: 307-318 .
Authors: Geddam, G.; Ramadevi, N.; Srilatha, P.; Dinesh Babu, V.; Chandra Mouli, D.; Lakshmana Rao, A.

A Deep Multi-Modal Framework for Cyberbullying Detection using Textual and Behavioural Features on Social Media

Conference Paper
Year: 2025. Pages: 1328-1334 .
Authors: Chintha Venkata Ramana; Sumathy V; Nagagopiraju Vullam; G. Prasanthi; A. Lakshmanarao; P. Varaprasada Rao

An Efficient Brain Tumor Classification Framework Using CNN, Transfer Learning, and YOLO Models

Conference Paper
Year: 2026. Pages: 1-6 .
Authors: Mehanoor, S.H.; Pakala, J.; Nagagopiraju, V.; Babu, V.D.; Lakshmanarao, A.; Reddy, P.C.S.
Showing 1 to 8 of 138 publications