Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Science Applications
91
Scopus Publications
4644
Scholar Citations
20
Scholar h-index
42
Scholar i10-index
Scopus Publications
Underwater service specific channel selection scheme with mmWave and THz bands Preksha Jain, Akhil Gupta, Nitin Rakesh Discover Computing, 2026 The main aim of Internet of Underwater Things (IoUT) is to grow a global network of smart underwater-interconnected devices. The development of IoUT empowers to monitor massive unexplored areas in water. Underwater communications are considered as more challenging than the terrestrial communications Moreover, the requirements of high data rates, security, and throughput in the IoUT applications cannot be met by current underwater acoustic channel. Consequently, researchers have shifted their interest to higher frequency bands (i.e., mmWave and THz band). The multi-GHz contiguous bandwidth that can be provided by the terahertz (THz) bands is anticipated to meet the requirements of IoUT communication systems. This article takes use case of communication inside a submarine and proposes a service specific channel selection (SSCS) scheme. SSCS dynamically exploits either the underwater acoustic, mmWave or THz channel, depending on the category of the information data (public, internal, confidential, restricted), to be transferred through a service. The numerical results show that the proposed SSCS scheme is superior to existing underwater communication techniques in terms of sum data rate, energy efficiency and throughput.
Hybrid quantum–classical ensemble model for enhanced cardiovascular disease risk prediction using clinical data Jatin Gupta, Swati Vishnoi, Ankur Sisodia, Vikas Singhal, Shivani Dubey, Sandeep Kumar, Ambuj Kumar Agarwal, Akhil Gupta, Nitin Rakesh Discover Computing, 2026 In terms of global health, cardiovascular diseases remain an emerging challenge, for which early estimation for timely medical treatment proves crucial. In this paper, an estimate of this challenge has been presented using a machine learning model that combines clinically engineered features such as body mass index, pulse pressure, blood pressure risk stratification, obesity status, and age-group stratification to improve reliability. With these objectives, using a structured data set of 70,000 patient records, three separately optimized classifier models of Random Forest, Light GBM, and XG Boost can be trained and tested, along with an ensemble model using weighted soft voting to minimize model-dependent variability. From the experimentally tested data, it has been observed that the accuracy of XG Boost was found to be maximum at 0.7380 with an F1 score of 0.7220, owing to its exceptional ability of handling non-linear relationships. For Light GBM, maximum AUC value of ROC was achieved at 0.8021, thereby displaying its outstanding discriminative power for distinguishing between positively and negatively classified cardiovascular diseases. For the ensemble model, balanced accuracy of 0.7376, F1 score of 0.7221, and AUC value of ROC of 0.8012 can be achieved, displaying considerable minimized variability. When compared with standard baseline classifiers, including Logistic Regression and Support Vector Machine, the proposed ensemble model achieves noticeable performance improvements, increasing Accuracy by up to 2.52% and ROC–AUC by up to 3.68%. These gains indicate a clear and practically meaningful enhancement in cardiovascular risk prediction performance.
Multimodal Pain Recognition: Integrating Facial Expressions and Biomedical Signals with Deep Learning Arhina Ghosh, Neha Tyagi, Nitin Rakesh, Balamurugan Balusamy, Akhil Gupta Lecture Notes in Electrical Engineering, 2026 Pain expression is characterized by high complexity and multidimensionality. It often uses subjective self-reporting as precise pain assessment remains an essential problem. In this research work, a new methodology for recognition of pain is represented based on a hybrid model that combines convolutional neural networks (CNNs) and particle swarm optimization (PSO) techique along with bidirectional long short- term memory (BiLSTM) networks. This study used video and physiological signals as input data. Experimental results significantly improved the binary pain classification accuracy over several existing models. This study is giving results of 86.3% accuracy and proving the hybrid approach to be very effective. The CNN handles extraction of spatial hierarchies from video data, while the PSO-optimized BiLSTM appropriately models the temporal evolution of physiological responses. Through multimodal integration and advanced optimization approaches, a pathway is paved toward a more reliable and efficient pain recognition model which will eventually help in improving patient care.
INTELLIJUDGE: AI-Powered Legal Decision-Making System Atharva Humane, Ojas Bhaisare, Jay Vasani, Parth Jani, Akhil Gupta 2025 International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2025, 2025
AI-Powered Systems for Detecting Stroke Onset Using EEG Data Abhijeet Nashte, Monali Gulhane, G. M. Vaidya, Nitin Rakesh, Ganesh Thorat, Akhil Gupta 2025 International Conference on Next Generation of Green Information and Emerging Technologies Giet 2025, 2025
Real-time Fatigue Detection Using OpenCV and CNN Krish Dahake, Jay Pawar, Ansh Parate, Nitin Rakesh, Monali Gulhane, Akhil Gupta 2025 Global Conference on Information Technology and Communication Networks Gitcon 2025, 2025
Personalized Learning through Adaptive Testing in Higher Education Sharvil Barhanpure, Siddhesh Singh, Aaditya Bhure, Jay Vasani, Akhil Gupta, Monali Gulhane 2025 International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2025, 2025
Higher Order QAM Schemes in 5G UFMC system Ravi Teja Kamurthi, Shakti Raj Chopra, Akhil Gupta 2020 International Conference on Emerging Smart Computing and Informatics Esci 2020, 2020
Equalization in WIMAX system Manmohit Singh, Komal Arora, Akhil Gupta Proceedings 2nd International Conference on Intelligent Circuits and Systems Icics 2018, 2018
Hybrid quantum–classical ensemble model for enhanced cardiovascular disease risk prediction using clinical data J Gupta, S Vishnoi, A Sisodia, V Singhal, S Dubey, S Kumar, AK Agarwal, ... Discover Computing 29 (1), 236 , 2026 2026
Deep learning in medical imaging: A comparative study of techniques SS Kolekar, M Gulhane, PA Namdev, N Rakesh, TA Patil, A Gupta AIP Conference Proceedings 3386 (1), 020114 , 2026 2026
Predictive maintenance of biomedical devices using AI NR Nangare, M Gulhane, JK M, N Rakesh, MB Mane, A Gupta AIP Conference Proceedings 3386 (1), 020114 , 2026 2026
Automated blood analysis using AI-integrated microfluidics VV Kanase, M Gulhane, NS Sanjay, N Rakesh, DR Potdar, A Gupta AIP Conference Proceedings 3386 (1), 020113 , 2026 2026
Micro-robots for targeted drug delivery: Engineering challenges and future perspectives S Thorat, M Gulhane, VP Zunjar, N Rakesh, A Bhoite, A Gupta AIP Conference Proceedings 3386 (1), 020111 , 2026 2026
Hybrid green 6G HetNet with THz blockage alleviation and modified cooperative NOMA P Jain, A Gupta, N Rakesh, M Gulhane Telecommunication Systems 89 (1), 41 , 2026 2026
Multimodal Pain Recognition: Integrating Facial Expressions and Biomedical Signals with Deep A Ghosh, N Tyagi, N Rakesh, B Balusamy, A Gupta Proceedings of the 2nd Symposium on Smart, Sustainable, and Secure Internet … , 2026 2026
Integrating Artificial Intelligence to ANPR towards Road Safety A Joshi, M Gulhane, N Rakesh, A Gupta, M Kaur, S Dixit Intelligent Systems Using Semiconductors for Robotics and IoT, 484-489 , 2026 2026
Edge—Cloud Collaborative Predictive Analytics for Smart Grid Fault Detection and Maintenance A Gade, A Kumar, DP Yadav, A Gupta, M Gulhane, P Kumar, N Rakesh 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Deep Learning-Based Real-Time Fault Detection in Power Electronics for Electric Vehicle Applications TA Wani, N Gupta, Y Sood, A Gupta, P Kumar, N Rakesh, M Gulhane 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Hybrid Digital Twin and AI Framework for Predictive Maintenance in Renewable Energy V Kumar, K Shipra, RP Singh, A Gupta, M Gulhane, P Kumar, N Rakesh 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Cybersecurity-Aware Predictive Maintenance Framework for Power and EV Infrastructures A Gade, P Praveen, A Kumar, A Gupta, M Gulhane, P Kumar, N Rakesh 2025 IEEE International Conference on Smart Power, Energy, Renewables, and … , 2025 2025
Quantum Echo–Assisted Synchronization Framework for 6G and Beyond Wireless Networks S Massey, SR Chopra, A Gupta 2025 1st International Conference on Advancement in Futuristic Technologies … , 2025 2025
Personalized Learning through Adaptive Testing in Higher Education S Barhanpure, S Singh, A Bhure, J Vasani, A Gupta, M Gulhane 2025 International Conference on Emerging Technologies and Innovation for … , 2025 2025
Energy Efficiency Optimization and DQN-based Power Allocation in UAV-IRS Assisted 6G System P Shah, A Gupta, N Rakesh, S Tanwar, G Pau, A Altameem, T Altameem ICT Express , 2025 2025 Citations: 1
1 Digital Twin A Pandey, A Bakshi, A Gupta Digital Twin and Blockchain for Sustainable Healthcare 5.0: Real-Life … , 2025 2025
Digital Twin: Advancements, Technologies, and Applications A Pandey, A Bakshi, A Gupta Digital Twin and Blockchain for Sustainable Healthcare 5.0, 1-18 , 2025 2025
Engineering Neural Networks for Detecting Anomalies in MRI Scans SS Rahul, N Rakesh, DS Asudani, A Gupta, N Mahajan, N Gupta 2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT), 1-6 , 2025 2025
Development of Smart Prosthetics with Neural Control Using AI I Cherian, DS Asudani, P Bainalwar, N Rakesh, V Salve, A Gupta 2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT), 1-6 , 2025 2025
IDENTIFYING STROKE RISK WITH VARIOUS MACHINE LEARNING TECHNIQUE A BAKSHI, A GUPTA Clinical Imaging Diagnosis: Data-Driven Techniques, Analytical Frameworks … , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
A Survey of 5G Network: Architecture and Emerging Technologies A Gupta, RK Jha Access, IEEE 3, 1206-1232 , 2015 2015 Citations: 3421
A survey on energy efficient 5G green network with a planned multi-tier architecture IB Sofi, A Gupta Journal of Network and Computer Applications 118, 1-28 , 2018 2018 Citations: 84
A vision towards integrated 6G communication networks: Promising technologies, architecture, and use-cases P Jain, A Gupta, N Kumar Physical Communication 55, 101917 , 2022 2022 Citations: 68
Bandwidth Spoofing and Intrusion Detection System for Multi Stage 5G Wireless Communication Network A Gupta, RK Jha, P Gandotra, S Jain IEEE Transaction on Vehicular Technology 67 (1), 618-632 , 2017 2017 Citations: 68
Implementation of Intrusion Detection System using Adaptive Neuro-Fuzzy Inference System for 5G Wireless Communication Network R Devi, RK Jha, A Gupta, S Jain, P Kumar AEU-International Journal of Electronics and Communications 74, 94-106 , 2017 2017 Citations: 67
Hybrid beamforming in massive MIMO for next-generation communication technology S Hamid, SR Chopra, A Gupta, S Tanwar, BC Florea, DD Taralunga, ... Sensors 23 (16), 7294 , 2023 2023 Citations: 59
Dynamic and efficient spectrum utilization for 6G with THz, mmWave, and RF band P Jain, A Gupta, N Kumar, M Guizani IEEE Transactions on Vehicular Technology 72 (3), 3264-3273 , 2023 2023 Citations: 58
Security Threats of Wireless Networks: A Survey A Gupta, R Jha 2015 International Conference on Computing, Communication & Automation … , 2015 2015 Citations: 47
A review on 5G and beyond wireless communication channel models: Applications and challenges J Kumar, A Gupta, S Tanwar, MK Khan Physical Communication 67, 102488 , 2024 2024 Citations: 41
Power optimization using massive MIMO and small cells approach in different deployment scenarios A Gupta, RK Jha Wireless Networks, 1-15 , 2016 2016 Citations: 41
A Survey of Free Space Optical Communication Network Channel over Optical Fiber Cable Communication A Gupta, P Anand, R Khajuria, S Bhagat, RK Jha International Journal of Computer Applications 105 (10), 32-36 , 2014 2014 Citations: 41
Attack modeling and intrusion detection system for 5G wireless communication network A Gupta, RK Jha, S Jain International Journal of Communication Systems, 1-14 , 2016 2016 Citations: 34
Performance evaluation of cooperative OMA and NOMA systems in 6G deployment scenarios P Jain, A Gupta, N Kumar, GP Joshi, W Cho Sensors 22 (11), 3986 , 2022 2022 Citations: 32
Higher order QAM schemes in 5G UFMC system RT Kamurthi, SR Chopra, A Gupta 2020 international conference on emerging smart computing and informatics … , 2020 2020 Citations: 32
Improving Channel Estimation in OFDM System Using Time Domain Channel Estimation for Time Correlated Rayleigh Fading Channel Model A Gupta International Journal of Engineering Science Invention 2 (8), 45-51 , 2013 2013 Citations: 29
Energy-efficient adaptive sectorization for 5G green wireless communication systems P Jain, A Gupta IEEE Systems Journal 14 (2), 2382-2391 , 2019 2019 Citations: 27
Designing and testing of quadrifilar helix antenna for NOAA weather satellite A Gupta, SR Chopra 2019 6th International Conference on Signal Processing and Integrated … , 2019 2019 Citations: 26
Latency optimized C-RAN in optical backhaul and RF fronthaul architecture for beyond 5G network: A comprehensive survey A Bhandari, A Gupta, S Tanwar, JJPC Rodrigues, R Sharma, A Singh Computer Networks 247, 110459 , 2024 2024 Citations: 23
CSVAG : Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches K Jha, A Gupta, A Alabdulatif, S Tanwar, CO Safirescu, TC Mihaltan Sustainability 14 (14), 8547 , 2022 2022 Citations: 23
Adaptive NOMA towards 5G green wireless network P Jain, A Gupta Transactions on Emerging Telecommunications Technologies, e3887 , 2020 2020 Citations: 22