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Dr. Samson Anosh Babu P.

Assistant Professor (Level 11), School of Computing, Amaravati

Qualification: B. Tech., M. Tech., Ph. D.
p_anoshbabu@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Machine Learning, Deep learning, Biological Data Analysis, Quantum Computing, Medical Image Processing

Bio Publications Research Grant FDP / Workshops Invited Talks Membership Awards
Bio

Currently working as Assistant Professor at Amrita Vishwa Vidyapeetham, Amaravati, India. I have completed my Ph.D. (full-time) at IIT (ISM) Dhanbad from the Department of CSE in September 2021. My Ph. D. Thesis Titled: “Study and Analysis of Biological Data Using Machine Learning Techniques”. I completed my M. Tech. in the department of CSE (Spl-Information Security) from NIT Rourkela in the year 2012. Also, completed my B.Tech in the department of Information Technology from RVR & JC College of Engineering, Guntur, in the year 2009. I have work experience at various educational institutions including CBIT Hyderabad, KITS Markapur, IIIT Kottayam, NIT Calicut, Sree Vidyanikethan Engineering College (MBU)- Tirupati, and SGIT Markapur. Moreover, I Have knowledge of Matlab, Python, Java, C and C++ for Data Analysis. Currently focused on the research related to the application of ML/DL techniques on the biological data analysis. Moreover, I am the active senior member of IEEE, Life member of ISTE, IAENG and professional member for many IEEE and IAENG Societies. Active reviewer for many SCIE journals and international conferences.

Publications

Journal Article

Year : 2025

Towards Safer Roads: A Comprehensive Review of Object Detection Techniques for Autonomous Vehicles

Cite this Research Publication : Samson Anosh Babu Parisapogu, Nitya Narla, Aarthi Juryala, Siddhu Ramavath, Towards Safer Roads: A Comprehensive Review of Object Detection Techniques for Autonomous Vehicles, SN Computer Science, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s42979-025-03980-9

Publisher : Springer Science and Business Media LLC

Year : 2023

Analysis of Deep Learning Methods for Healthcare Sector – Medical Imaging Disease Detection

Cite this Research Publication : Hemlata Sahu, Ramgopal Kashyap, Surbhi Bhatia, Bhupesh Kumar Dewangan, Nora A. Alkhaldi, Samson Anosh Babu, Senthilkumar Mohan, Analysis of Deep Learning Methods for Healthcare Sector - Medical Imaging Disease Detection, Contemporary Mathematics, Universal Wiser Publisher Pte. Ltd, 2023, https://doi.org/10.37256/cm.4420232496

Publisher : Universal Wiser Publisher Pte. Ltd

Year : 2023

A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation

Cite this Research Publication : Chandra Sekhara Rao Annavarapu, Samson Anosh Babu Parisapogu, Nikhil Varma Keetha, Praveen Kumar Donta, Gurindapalli Rajita, A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation, Diagnostics, MDPI AG, 13(8), 1406, 2023, https://doi.org/10.3390/diagnostics13081406

Publisher : MDPI AG

Year : 2021

A deep neural network approach for the prediction of protein subcellular localization

Cite this Research Publication : Anosh Babu P. Samson, Sekhara Rao Annavarapu Chandra, Mani Manikant, A deep neural network approach for the prediction of protein subcellular localization, Neural Network World, Czech Technical University in Prague - Central Library, 2021, https://doi.org/10.14311/nnw.2021.31.002

Publisher : Czech Technical University in Prague - Central Library

Year : 2021

Clustering-based hybrid feature selection approach for high dimensional microarray data

Cite this Research Publication : Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu, Suresh Dara, Clustering-based hybrid feature selection approach for high dimensional microarray data, Chemometrics and Intelligent Laboratory Systems, Elsevier BV, Volume 213, 15 June 2021, https://doi.org/10.1016/j.chemolab.2021.104305

Publisher : Elsevier BV

Year : 2021

Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification

Cite this Research Publication : Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu, Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification, Applied Intelligence, Springer Science and Business Media LLC, 2021, https://doi.org/10.1007/s10489-021-02199-4

Publisher : Springer Science and Business Media LLC

Conference Paper

Year : 2024

A Decentralized Approach for Enhancing Identity and Access Management through Blockchain Integration

Cite this Research Publication : J Maha Lakshmi, Krishna Prasad, P Samson Anosh Babu, Ravikumar Ch, A Decentralized Approach for Enhancing Identity and Access Management through Blockchain Integration, 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), pp. 237-242. IEEE, 2024. IEEE, https://doi.org/10.1109/icccmla63077.2024.10871512

Publisher : IEEE

Year : 2024

YOLO based Object Detection Techniques for Autonomous Driving

Cite this Research Publication : Samson Anosh Babu Parisapogu, Nitya Narla, Aarthi Juryala, Siddhu Ramavath, YOLO based Object Detection Techniques for Autonomous Driving, 2024 Second International Conference on Inventive Computing and Informatics (ICICI), IEEE, 2024, https://doi.org/10.1109/icici62254.2024.00049

Publisher : IEEE

Year : 2024

Modified Snapshot Ensemble Algorithm for Skin Lesion Classification

Cite this Research Publication : Samson Anosh Babu Parisapogu, Mastan Mohammed Meera Durga, Vallela Kaushik Shashank Reddy, Boyapati Kalyan Chakravarthi, P. Vasanth Sena, Modified Snapshot Ensemble Algorithm for Skin Lesion Classification, Communications in Computer and Information Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-53085-2_13

Publisher : Springer Nature Switzerland

Year : 2019

A novel method for next-generation sequence data analysis using PLSA topic modeling technique

Cite this Research Publication : P. Samson Anosh Babu, Chandra Sekhar Rao Annavarapu, Abhilash Mohapatra, A novel method for next-generation sequence data analysis using PLSA topic modeling technique, 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), IEEE, 2019, (SCOPUS Indexed), Best Paper Award, https://doi.org/10.1109/ICACCP.2019.8882949 https://doi.org/10.1109/icaccp.2019.8882949

Publisher : IEEE

Research Grant
  • Seed-grant: Title: A Hybrid Quantum Convolutional Neural Network for Skin lesion classification, Role: Co-PI, Sponsor: CBIT, Hyderabad, Grant amount: 170000/-. Status: Completed.
FDP / Workshops
  1. Organized an online Guest lecture on “Deep learning in NLP” at the Department of Artificial Intelligence and Data Science, CBIT Hyderabad. Duration: 16th, November to 18th November, 2023. Role: Coordinator
  2. Organized NPTEL E-AwarenessWorkshop at Krishna Chaitanya Institute of Technology and Sciences, Markapur, in association with NPTEL, IIT Madras on 25th January, 2023. Role: SPOC and Coordinator
  3. Faculty Development Program (FDP) on “Advanced Machine Learning-Applications and Challenges”, organized at Krishna Chaitanya Institute of Technology and Sciences, Markapur, in association with Electronics & ICT Academy, NIT Warangal, Set up by MEITY, Government of India. Duration: 18th, April to 30th April, 2022. Role: Coordinator
Invited Talks
  • Delivered a Guest lecture as resource person for the FDP on “Communication Systems using Machine learning Algorithms” at Annamacharya Institute of Technology & Sciences, Hyderabad. Duration: 14th March, 2022 to 19th March, 2022.
Membership
  • IEEE Senior Member
  • ISTE Life Member
  • IAENF Life Member
Awards
  1. Received Best Paper Award in ICACCP-2019, IEEE 2nd International conference at SMIT, Gangtok, India.
  2. Received MHRD Fellowship for Ph.D. (Full-time) at IIT (ISM) Dhanbad, India.
  3. Received MHRD Fellowship for M.Tech.  at NIT Rourkela, India.
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