Experienced Associate Professor with a demonstrated history of working in the Technical education industry. Skilled in Research, E-Learning, Lecturing, Teaching, and Higher Education. Strong education professional with a Doctor of Philosophy ( focused on Natural Language Processing from Manipal University Jaipur. Working as Associate Professor at the School of Information Technology, Manipal University Jaipur, India.
EDUCATION
Awarded PhD in 2018 Specialization in Natural Language Processing
RESEARCH INTERESTS
Natural Language Processing, Digital Image Processing, Computer vision, AI and soft computing
Super-resolution generative network for enhanced Parkinson’s disease diagnosis using brain magnetic resonance imaging Bali Devi, Sumit Srivastava, Vivek Kumar Verma Engineering Research Express, 2026 One hallmark of PD is the degeneration of dopamine-producing neurons in substantia nigra of the brain, and resulting in motor impairments, such as tremor or rigidity. It has been difficult to make an early and accurate diagnosis because of overlapping symptoms with other neurological diseases and limitations in conventional diagnostic tools. In order to tackle the challenges in PD, we propose a new hybrid architecture of SRGAN and SCO. Unlike previous approach for Alzheimer’s our method enhances low-resolution MRI and PET images presenting higher diagnostic potential. The approach could be carried out in clinics with limited screening capability. Super-Resolution GAN (SRGAN) An SRGAN was constructed which used a customised variation of DeepResNet (i.e. ResNet-150 with skip connections), the Generative Adversarial Network (GAN) and the Gaussian filter to enhance the quality of the MRI and PET images. Various operations were performed on the input images as pre-processing, such as, contrast stretching, noise filtering, gamma correction and pixel-normalization to clear input for the model. Our SRGAN model was better performing than the existing CNN models like DenseNet, AlexNet, VGG19 and ResNet with an accuracy of 96.5%, F1 score of 94.5% and balanced accuracy (BAAC) of 93.5%. Moreover, the skip connection optimization (SCO) of the SRGAN improved over various optimization methods such as GA, ACO, GWO, SGD, ADAM and AdaMax. The results demonstrate that the proposed model outperforms existing methods for the prediction of Parkinson’s disease.
Adaptive security reinforcement learning for enhanced cryptographic vehicle-to-vehicle communication security Ankit Mundra, Pankaj Vyas, Vivek Kumar Verma Journal of Discrete Mathematical Sciences and Cryptography, 2025 Secure and reliable Vehicle-to-Vehicle (V2V) communications are critical in the age of connected vehicles and intelligent transport systems. This paper introduces a new technique, Adaptive Security Reinforcement Learning (ASRL), which aims at adjusting and learning cryptographic techniques according to effective on-the-fly information about vehicles. Marine security settings can be automatically adjusted via ASRL by using reinforcement learning to optimize set security settings, such as Elapsed Time, Speed, RPM, Acceleration, Engine Load, Fuel Level and Temperature, given changing conditions. The purpose of this adaptive approach is to keep safety and efficiency in balance, so that the overall security of vehicular communication can be improved without reducing operational performance. The solution involves multivariate polynomial lattices (MPL) for strong cryptographic underpinnings, quantum resilient cryptography for secure models against yet-to-become quantum-based threats, and discretized mathematical implies for optimized algorithms. The system also uses state-of-the art techniques to withstand algebraic and combinatorial attacks, including the use of designs and Boolean functions. The paper presents the conceptual framework of ASRL, by defining state space, action space and reward function in the idealized scenario and describing learning algorithm in detail, together with simulations to illustrate its effectiveness. Through this holistic treatment, we provide a working solution to evolving security threats in V2V communications, and hence we enable safer and more resilient vehicular networks.
Adaptive Reinforcement Learning Strategies for Enhanced Precision Agriculture: Challenges and Future Directions Nandini Babbar, Ashish Kumar, Vivek Kumar Verma Reinforcement Learning Foundations and Applications, 2025 Precision Agriculture (PA) has emerged as a transformative approach to farming, aimed at optimizing field-level management regarding crop farming. Adaptive Reinforcement Learning (RL) offers significant potential to enhance the decisionmaking process in PA by enabling dynamic, data-driven strategies that respond to the complexities of agricultural environments. This chapter presents a comprehensive study of Reinforcement Learning (RL) applications within the domain of precision agriculture. Agriculture, as a sector, is undergoing a rapid transformation, driven by the integration of advanced technologies aiming to increase efficiency, sustainability, and crop yield. This chapter explores the integration of RL in PA, focusing on the methodologies, applications, challenges, and prospects for future development. Through detailed analysis, we present a roadmap for harnessing RL to achieve sustainable, efficient, and productive agricultural practices.
SMS Spam Classification Using Machine Learning Techniques Tarun Jain, Payal Garg, Namita Chalil, Aditya Sinha, Vivek Kumar Verma, et al. Proceedings of the Confluence 2022 12th International Conference on Cloud Computing Data Science and Engineering, 2022
Machine Learning Techniques for Prediction of Mental Health Tarun Jain, Ashish Jain, Priyank Singh Hada, Horesh Kumar, Vivek K Verma, et al. Proceedings of the 3rd International Conference on Inventive Research in Computing Applications Icirca 2021, 2021
Audio to Sign Language Translator Web Application Anju Yadav, Rahul Saxena, Bhavna Saini, Vivek K Verma, Vibhav Srivastava 2021 International Conference on Computational Performance Evaluation Compe 2021, 2021
A review on controlling of julia and mandelbrot sets International Journal of Advanced Science and Technology, 2019
Hybrid approach for optimized resource allocation load balancing in cloud infrastructure International Journal of Advanced Science and Technology, 2019
Paradigms of image compression and encryption: A review Pratistha Mathur, Anju Yadav, Viveak Kumar Verma, Renuka Purohit 2019 2nd International Conference on Intelligent Communication and Computational Techniques ICCT 2019, 2019
Talk to Me, Like Me: Modular Personalization of Emotional AI via Behavioral Metadata, Fine-Tuning, RAG, Prompts, and Agentic Reasoning R Gupta, O Dabral, P Shukla, VK Verma, H Sharma, S Kathed, HR Nidhan, ... Proceedings of the 1st International Workshop on Cognition-oriented … , 2025 2025
Decentralized and Lightweight Transformer-Based Framework for Cybersecurity in Vehicular Networks A Mundra, P Vyas, VK Verma Engineered Science , 2025 2025 Citations: 7
Predicting Wheat Yield Using Sequential and Deep Convolutional Neural Networks N Babbar, A Kumar, VK Verma 2024 5th International Conference on Electronics and Sustainable … , 2024 2024 Citations: 1
Artificial Immune System Algorithms for Optimizing Nanoparticle Design in Targeted Drug Delivery A Kumar, V Verma Bio‐Inspired Optimization for Medical Data Mining, 169-183 , 2024 2024 Citations: 1
Exploring the Potential of Dingo Optimizer: A Promising New Metaheuristic Approach A Yadav, VK Verma Bio‐Inspired Optimization for Medical Data Mining, 141-153 , 2024 2024
Comprehensive Analysis of Mental Health Insights from Social Media: Taxonomies, Computational Methods, and Resources S Tuli, VK Verma, P Mathur 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 1
Prediction of Wheat Yield by Novel SDC-LSTM Framework N Babbar, A Kumar, VK Verma Brazilian Archives of Biology and Technology 67, e24230773 , 2024 2024 Citations: 2
Cognitive equilibrium and instability: Lyapunov stability analysis in mental health research VK Verma, B Saini, T Jain, P Dadheech Journal of Interdisciplinary Mathematics 27 (2), 273–283 , 2024 2024 Citations: 1
Enhancing Trust in AI-Generated Medical Narratives: A Transparent Approach for Simplifying Radiology Reports VK Verma, B Saini International Conference on Information and Communication Technology for … , 2023 2023 Citations: 4
Optimizing Medical Image Report Generation with Varied Attention Mechanisms PM Reddy, VK Verma, MVC Varma 2023 6th International Conference on Contemporary Computing and Informatics … , 2023 2023 Citations: 3
Quantum Digital Signatures (QDS): A novel approach to safeguarding electronic health records B Saini, VK Verma, PK Tiwari, MVC Varma Journal of Discrete Mathematical Sciences and Cryptography 26 (5), 1613–1622 , 2023 2023 Citations: 1
Forecasting Wheat Yield Using Long Short-Term Memory Considering Soil and Metrological Parameters N Babbar, A Kumar, VK Verma 2023 3rd International Conference on Intelligent Communication and … , 2023 2023 Citations: 2
Comparison of Artificial Decision Techniques for Detection of Sarcastic News Headlines T Jain, H Kumar, P Garg, A Pillai, A Sinha, VK Verma International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) 13 … , 2023 2023 Citations: 1
Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms T Jain, VK Verma, AK Sharma, B Saini, N Purohit, H Mahdin, M Ahmad, ... International Journal of Advanced Computer Science and Applications 14 (5) , 2023 2023 Citations: 17
Machine Learning Techniques for Prediction of Diabetes T Jain, P Garg, JY Patel, D Chaudhary, H Kumar, VK Verma, R Gupta Healthcare Solutions Using Machine Learning and Informatics, 205-235 , 2022 2022
Device to Device Communication in 5G Network using Device-Centric Resource Allocation Algorithm C Goswami, A Das, KI Ogaili, VK Verma, V Singh, DK Sharma 2022 4th International Conference on Inventive Research in Computing … , 2022 2022 Citations: 37
SMS spam classification using machine learning techniques T Jain, P Garg, N Chalil, A Sinha, VK Verma, R Gupta 2022 12th international conference on cloud computing, data science … , 2022 2022 Citations: 37
Prediction of Personality Trait using Machine Learning on Online Texts RK Cherukuru, A Kumar, S Srivastava, VK Verma 2022 International Conference for Advancement in Technology (ICONAT), 1-8 , 2022 2022 Citations: 7
An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques A Kumar, SS Sanjith, R Cherukuru, VK Verma, T Jain, A Yadav Data Engineering for Smart Systems: Proceedings of SSIC 2021, 377-389 , 2022 2022 Citations: 3
A Metaheuristic Optimization Approach-Based Anomaly Detection With Lasso Regularization VK Verma, P Garg, PK Tiwari, TK Jain International Journal of Software Innovation (IJSI) 10 (1), 1-11 , 2022 2022
MOST CITED SCHOLAR PUBLICATIONS
Machine Learning Techniques for Prediction of Mental Health T Jain, A Jain, PS Hada, H Kumar, VK Verma, A Patni 2021 Third International Conference on Inventive Research in Computing … , 2021 2021 Citations: 92
Evaluation of machine learning algorithms for the detection of fake bank currency A Yadav, T Jain, VK Verma, V Pal 2021 11th International Conference on Cloud Computing, Data Science … , 2021 2021 Citations: 45
Device to Device Communication in 5G Network using Device-Centric Resource Allocation Algorithm C Goswami, A Das, KI Ogaili, VK Verma, V Singh, DK Sharma 2022 4th International Conference on Inventive Research in Computing … , 2022 2022 Citations: 37
SMS spam classification using machine learning techniques T Jain, P Garg, N Chalil, A Sinha, VK Verma, R Gupta 2022 12th international conference on cloud computing, data science … , 2022 2022 Citations: 37
Smart systems and IoT: Innovations in computing AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma Springer Singapore , 2020 2020 Citations: 28
A comprehensive review on automation of Indian sign language VK Verma, S Srivastava, N Kumar 2015 international conference on advances in computer engineering and … , 2015 2015 Citations: 28
Local invariant feature-based gender recognition from facial images VK Verma, S Srivastava, T Jain, A Jain Soft Computing for Problem Solving: SocProS 2017, Volume 2, 869-878 , 2019 2019 Citations: 26
A study on sentiment analysis of mental illness using machine learning techniques PK Tiwari, M Sharma, P Garg, T Jain, VK Verma, A Hussain IOP Conference Series: Materials Science and Engineering 1099 (1), 012043 , 2021 2021 Citations: 24
Fragmentation of handwritten touching characters in Devanagari script S Kapoor, V Verma International Journal of Information Technology, Modeling and Computing … , 2014 2014 Citations: 22
Dissecting word embeddings and language models in natural language processing VK Verma, M Pandey, T Jain, PK Tiwari Journal of Discrete Mathematical Sciences and Cryptography 24 (5), 1509-1515 , 2021 2021 Citations: 21
Audio to Sign Language Translator Web Application A Yadav, R Saxena, B Saini, VK Verma, V Srivastava 2021 International Conference on Computational Performance Evaluation (ComPE … , 2021 2021 Citations: 19
City crime mapping using machine learning techniques N Yadav, A Kumar, R Bhatnagar, VK Verma The International Conference on Advanced Machine Learning Technologies and … , 2020 2020 Citations: 19
A joint medical image compression and encryption using AMBTC and hybrid chaotic system A Yadav, B Saini, VK Verma, V Pal Journal of Discrete Mathematical Sciences and Cryptography 24 (8), 2233-2244 , 2021 2021 Citations: 18
Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms T Jain, VK Verma, AK Sharma, B Saini, N Purohit, H Mahdin, M Ahmad, ... International Journal of Advanced Computer Science and Applications 14 (5) , 2023 2023 Citations: 17
Removal of obstacles in Devanagari script for efficient optical character recognition VK Verma, PK Tiwari 2015 International Conference on Computational Intelligence and … , 2015 2015 Citations: 16
Key Feature Extraction and Machine Learning-Based Automatic Text Summarization VK Verma, A Yadav, T Jain Emerging Technologies in Data Mining and Information Security: Proceedings … , 2019 2019 Citations: 15
Performance prediction for crop irrigation using different machine learning approaches T Jain, P Garg, PK Tiwari, VK Kuncham, M Sharma, VK Verma Examining the Impact of Deep Learning and IoT on Multi-Industry Applications … , 2021 2021 Citations: 12
Automated Detection and Classification of Breast Cancer Tumour Cells using Machine Learning and Deep Learning on Histopathological Images A Yadav, VK Verma, V Pal, V Jain, V Garg 2021 6th International Conference for Convergence in Technology (I2CT), 1-6 , 2021 2021 Citations: 8
Paradigms of image compression and encryption: A review P Mathur, A Yadav, VK Verma, R Purohit 2019 2nd International Conference on Intelligent Communication and … , 2019 2019 Citations: 8
Soft-Computing-Based Approaches for Plant Leaf Disease Detection: Machine-Learning-Based Study VK Verma, T Jain Applications of Image Processing and Soft Computing Systems in Agriculture … , 2019 2019 Citations: 8
