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Dr. Vivek Venugopal

Assistant Professor (Sr. Gd), Department of Electronics and Communication Engineering, School of Engineering, Bengaluru

Qualification: B. Tech., M.Tech., Ph.D
v_vivek@blr.amrita.edu
Research Interest: Biometrics, Document Analysis and Recognition, Pattern Recognition

Bio Publications Education Professional Appointments Research Grants Research Scholars Peer-Reviewed Publication
Bio

Dr. Vivek Venugopal received his Bachelor of Technology degree from Amrita School of Engineering Ettimadai in 2011. He obtained his Master of Technology degree in Electronics and Communication from National Institute of Technology in 2014. He subsequently completed his Ph.D from Indian Institute of Technology in 2019. His Ph.D thesis focussed on designing novel descriptors for the task of online writer identification. He worked as an Adhoc faculty at National Institute of Technology Calicut from July 2019 to August 2020. He then worked as an Assistant Professor at Amrita School of Engineering Amritapuri from March 2021 to June 2022. He joined the institute on June 2022 and is currently serving as Assistant Professor in the Electronics and Communication Engineering department. His research interests include pattern recognition, biometrics, and document analysis.

Membership

  • IEEE
Publications

Journal Article

Year : 2025

CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation

Cite this Research Publication : Shivalila Hangaragi, N. Neelima, Vivek Venugopal, Somnath Ganguly, Joyti Mudi, Joon-Ho Choi, CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation, Alexandria Engineering Journal, Elsevier BV, 2025, https://doi.org/10.1016/j.aej.2024.11.117

Publisher : Elsevier BV

Year : 2021

Modified Sparse Representation Classification Framework for Online Writer Identification

Cite this Research Publication : Vivek Venugopal and Suresh Sundaram, “A Modified Sparse Representation Classification Framework for Online Writer Identification," IEEE Trans. Systems,
Man, and Cybernetics: Systems, vol. 51, pp. 314-325

Publisher : IEEE Trans. Systems

Year : 2020

Online writer identification system using adaptive sparse representation framework

Cite this Research Publication : Vivek Venugopal and Suresh Sundaram, “ An Online Writer Identification System Using Adaptive Sparse Representation Framework", IET Biometrics, vol.9, no. 3, pp. 126 – 133

Publisher : IET Biometrics

Year : 2018

An improved online writer identification framework using codebook descriptors

Cite this Research Publication : Vivek Venugopal and Suresh Sundaram, “An improved online writer identification framework using codebook descriptors," Pattern Recognition, vol. 78, pp. 318-330

Publisher : Pattern Recognition

Year : 2018

Online writer identification with sparse coding based descriptors

Cite this Research Publication : Vivek Venugopal and Suresh Sundaram, “Online writer identification with sparse coding based descriptors," IEEE Trans. Information Forensics and Security, vol. 33, no. 10, pp. 2538 - 2552

Publisher : IEEE Trans. Information Forensics and Security

Year : 2017

An online writer identification system using regression-based feature normalization and codebook descriptors

Cite this Research Publication : Vivek Venugopal and Suresh Sundaram, “An online writer identification system
using regression-based feature normalization and codebook descriptors," Expert System with Application, vol. 72, pp. 196-206

Publisher : Expert System with Application

Conference Paper

Year : 2025

Interpreting Lung Cancer Predictions Using CNN-Derived Features and Machine Learning Models

Cite this Research Publication : Sandeep Vasekara P, Abishai G, Shanthosh M, Suryanarayan C, Vivek Venugopal, Susmitha Vekkot, Interpreting Lung Cancer Predictions Using CNN-Derived Features and Machine Learning Models, 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2025, https://doi.org/10.1109/icaect63952.2025.10958931

Publisher : IEEE

Year : 2024

Design and Implementation of Power Efficient Hardware Accelerator for Bidirectional Long Short- Term Memory (Bi-LSTM)

Cite this Research Publication : K. N. Apoorva, Vivek Venugopal, Chinthala Ramesh, Design and Implementation of Power Efficient Hardware Accelerator for Bidirectional Long Short- Term Memory (Bi-LSTM), 2024 IEEE 21st India Council International Conference (INDICON), IEEE, 2024, https://doi.org/10.1109/indicon63790.2024.10958432

Publisher : IEEE

Year : 2024

Improving Foot Deformity Detection in Children: Synthetic Plantar Pressure Data Generation with GMM and GAN

Cite this Research Publication : K Aswin Raj, Sandra Krishnan, Anu Chalil, Vivek Venugopal, Neelima N, Improving Foot Deformity Detection in Children: Synthetic Plantar Pressure Data Generation with GMM and GAN, 2024 4th Asian Conference on Innovation in Technology (ASIANCON), IEEE, 2024, https://doi.org/10.1109/asiancon62057.2024.10838069

Publisher : IEEE

Year : 2024

Optimizing Gender Identification with MFCC Feature Engineering and Enhanced Gradient Boosting

Cite this Research Publication : Manushri Tummala, Lohith Harish, Mahadevi E Malkhed, Siddarth S Kumar, Nizampatnam Neelima, Vivek Venugopal, Optimizing Gender Identification with MFCC Feature Engineering and Enhanced Gradient Boosting, 2024 Asian Conference on Intelligent Technologies (ACOIT), IEEE, 2024, https://doi.org/10.1109/acoit62457.2024.10939536

Publisher : IEEE

Conference Proceedings

Year : 2025

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Cite this Research Publication : S L Saran Kumar, Arjun Dileep, Shreya Sujith, Vivek Venugopal, Susmitha Vekkot, An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features, 2025 International Conference on Innovation in Computing and Engineering (ICE), IEEE, 2025, https://doi.org/10.1109/ice63309.2025.10983914

Publisher : IEEE

Year : 2025

Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics

Cite this Research Publication : M. Vasuki, Rimjhim Padam Singh, Susmitha Vekkot, Vivek Venugopal, Audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-79041-6_22

Publisher : Springer Nature Switzerland

Year : 2024

Interpretable Handwritten Digit Classification: Analyzing Feature Extraction and Explainable AI on the Extended MNIST Dataset

Cite this Research Publication : S. Thamaraiselvan, Vivek Venugopal, Susmitha Vekkot, Interpretable Handwritten Digit Classification: Analyzing Feature Extraction and Explainable AI on the Extended MNIST Dataset, 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART), IEEE, 2024, https://doi.org/10.1109/smart63812.2024.10882523

Publisher : IEEE

Year : 2024

Prediction of the Correct Position of the Coral Reefs Using ML Techniques -A Survey

Cite this Research Publication : Posa Achyutha, S.Tresa Sangeetha, K Deepa, Vivek Venugopal, Prediction of the Correct Position of the Coral Reefs Using ML Techniques -A Survey, 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS, 2024.

Publisher : IEEE

Year : 2024

A Fast and Accurate Object Counting using Sobel Edge Detection System for Real – Time Star Gazing

Cite this Research Publication : Lolla Lakshmi Vaishnavi, Mittapally Bhavana, Dodda Chandra Maruthi Manideep, Neelima N, Vivek Venugopal, "A Fast and Accurate Object Counting using Sobel Edge Detection System for Real–Time Star Gazing." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT), pp. 1-5. IEEE, 2024.

Publisher : IEEE

Year : 2024

Multi-Modal Automatic Video Segmentation with Sentence Transformer Embeddings and KeyBERT-Based Subtopic Extraction

Cite this Research Publication : M Vasuki, M Arun Gangadharan, Jibin Thomas Daniel, Arjun Sadashiv, Vivek Venugopal,Susmitha Vekkot, Multi-Modal Automatic Video Segmentation with Sentence Transformer Embeddings and KeyBERT-Based Subtopic Extraction, 2024 2nd World Conference on Communication & Computing (WCONF).

Publisher : IEEE

Year : 2024

An Explainable Hybrid Learning Model for Indian Food Image Classification

Cite this Research Publication : C Harishankar, Neha S Anoop, K S Niranjana, Adity Biju, Vivek Venugopal, Susmitha Vekkot, An Explainable Hybrid Learning Model for Indian Food Image Classification, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT),2024.

Publisher : IEEE

Year : 2024

Cricket Player Prediction of Role in a Team Using ML Techniques

Cite this Research Publication : Trinadh, M.K.D., Sangeetha, S.T., Deepa, K., Venugopal, V., "Cricket Player Prediction of Role in a Team Using ML Techniques", International Conference on E-Mobility, Power Control and Smart Systems: Futuristic Technologies for Sustainable Solutions, ICEMPS 2024, 2024, DOI: 10.1109/ICEMPS60684.2024.10559307

Publisher : IEEE

Year : 2024

Data-Driven Models for Water Potability: A Machine Learning Approach

Cite this Research Publication : Mishra, N., Sangeetha, S.V.T., Deepa, K., Venugopal, V., “Data-Driven Models for Water Potability: A Machine Learning Approach”, 2024 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024 - Proceedings, 2024. DOI: 10.1109/INCOS59338.2024.10527476

Publisher : IEEE

Year : 2023

A performance comparison of over-complete dictionaries for online writer identification

Cite this Research Publication : Jayanth Chintala, Palnati Teja Krishna Sai, Megha,Lekshmi Manoj, Manazhy Rashmi, Vivek Venugopal, A performance comparison of over-complete dictionaries for online writer identification, IEEE 20th India Council International Conference (INDICON), 2023

Publisher : IEEE

Year : 2022

Comparison of Online Writer Identification Systems for Limited Data

Cite this Research Publication : Chinnapapakkagari Sreenivasa Vikranth, Bodavula Jagadeesh, Darla Vineeth Prithvi, Nimmala Chaitanya Sai Kumar, Thanikonda Gopi Krishna, Vivek Venugopal “Comparison of Online Writer Identification Systems for Limited Data", 6th International Conference on Intelligent Computing and Control Systems 2022, pp. 1762-1767

Publisher : 6th International Conference on Intelligent Computing and Control Systems

Year : 2019

Online writer identification using GMM based feature representation and writer-specific weights

Cite this Research Publication : Vivek Venugopal, Suresh Sundaram “Online writer identification using GMM
based feature representation and writer-specific weights", International Conference on Document Analysis and Recognition 2019, pp. 743-748

Publisher : International Conference on Document Analysis and Recognition

Year : 2018

A Hierarchical Codebook Descriptor Approach for Online Writer Identification

Cite this Research Publication : Vivek Venugopal, Surbhi Pillai and Suresh Sundaram, “A Hierarchical Codebook
Descriptor Approach for Online Writer Identification", International Conference on Frontiers in Handwriting Recognition 2018, pp. 398-403

Publisher : International Conference on Frontiers in Handwriting Recognition

Year : 2017

A Vector Quantization Based Feature Descriptor for Online Signature Verification

Cite this Research Publication : Vivek Venugopal, Abhishek Sharma, Rishabh Singh, Abhinav Sharma and Suresh
Sundaram,“A Vector Quantization Based Feature Descriptor for Online Signature Verification", International Conference on Document Analysis and Recognition 2017, pp. 1210-1215

Publisher : International Conference on Document Analysis and Recognition

Year : 2016

Online Writer Identification Using Sparse Coding and Histogram Based Descriptors

Cite this Research Publication : Isht Dwivedi, Swapnil Gupta, Vivek Venugopal and Suresh Sundaram, “Online
Writer Identification Using Sparse Coding and Histogram Based Descriptors ",
International Conference on Frontiers in Handwriting Recognition 2016, pp. 572-577.

Publisher : International Conference on Frontiers in Handwriting Recognition

Year : 2016

Offline Writer Identification Using Local Derivative Pattern

Cite this Research Publication : Salil Kanetkar, Ayush Pathania, Vivek Venugopal and Suresh Sundaram, “Offline
Writer Identification Using Local Derivative Pattern", International Conference
on Frontiers in Handwriting Recognition 2016, pp. 355-360.

Publisher : International Conference on Frontiers in Handwriting Recognition

Education
  • Year: Ph.D. in 2019
    From: Indian Institute of Technology Guwahati
  • Year: M.Tech. in 2014
    From: National Institute of Technology
  • Year: B.Tech. in 2011
    From: Amrita School of Engineering Ettimadai
Professional Appointments
Year Affiliation
2021-2022 Assistant Professor at Amrita School of Engineering Amritapuri
2019-2020 Adhoc faculty at National Institute of Technology Calicut

Courses Taught

  • Fundamentals of Machine Learning
  • Mathematics of Signal Processing
  • Digital Signal Processing
  • Signals and Systems
  • Introduction to IoT

Student Guidance

Undergraduate students

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Palnati Teja Krishna, Chintala Jayanth, Megha, Lekshmi Manoj A performance comparison of over-complete dictionaries for online writer identification Completed 2023
2 Chundi Revathi, Vinnakota Krishna Sai, Abbineni Hrushikesh, Patchikori Chetan Deva Masked Face recognition Completed 2023
3 B.V.Sudheer , C.H Sumanth , D. Siva Vasanth Pavan Handdrawn circuit recognition Completed 2023
4 Gnanitha Somavarapu , Balaga Chandra Has,Pedamallu Naga Venkata Sai Sri Automatic Modulation Classification Completed 2023
5 Chinnapapakkagari Sreenivasa Vikranth, Bodavula Jagadeesh, Darla Vineeth Prithvi, Nimmala Chaitanya Sai Kumar, Thanikonda Gopi Krishna Text independent online writer identification Completed 2022

Postgraduate Students

Sl.No Name of Students Topic Status Year of completion
1 K N Apoorva Low power hardware accelerator for bi-directional LSTM networks Completed 2023
Research Grants
  • Design and implementation of a reconfigurable hardware accelerator for  Long Short-Term Memory Networks for radar-based target classification and localization of small sized UAVs sanctioned under Chips to Startup (C2S) programme by MeiTY and CDAC, sanctioned 2024
  • AICTE IDEA Lab, sanctioned in 2025
Research Scholars
  • Ajai Devanathan “Explainable AI for medical imaging” 
  • Vasuki M “Automatic Lecture Video Segmentation” 
  • Shaik Mubarak “Autonomous Navigation System for Indian conditions”
Peer-Reviewed Publication
  • Shivalila Hangaragi, N. Neelima, Vivek Venugopal, Somnath Ganguly, Joyti Mudi, Joon-Ho Choi, “CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation”, Alexandria Engineering Journal, March 2025.
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