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Ankit Vijayvargiya

Ankit Vijayvargiya
Ankit Vijayvargiya
 
PhD (Biomedical Signals), Malaviya National Institute of Technology, Jaipur

Contact Details

 
079-68261628
 
# 4205, FB-4, DAU, Gandhinagar, Gujarat, India – 382007
 
https://scholar.google.co.in/citations?hl=en&user=ChSHse0AAAAJ&view_op=list_wor…

Biography

Dr. Ankit Vijayvargiya is currently serving as an Assistant Professor at DAU. He holds a Ph.D. in Artificial Intelligence in Healthcare from Malaviya National Institute of Technology (MNIT), Jaipur, where his research focused on AI-enabled solutions for human health, particularly in biomedical signal processing and human activity recognition.

He was awarded the prestigious NeuroInsight Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship hosted at Dublin City University (DCU), Ireland, where he conducted advanced research on data-driven practices for robotic rehabilitation in individuals with incomplete spinal cord injuries. He has also gained valuable international exposure as a Visiting Researcher at Khalifa University, UAE.

Dr. Vijayvargiya’s research interests include biomedical signal processing, machine learning, human robot interaction, wearable systems, and assistive healthcare technologies. He has authored more than 50 research publications, including peer-reviewed journal articles, conference proceedings, and book chapters.

He has been the recipient of several research grants and awards, with funding support from the Department of Science and Technology, the Ministry of MSME, and the Institution of Engineers (India). He has delivered invited talks and expert lectures at various premier academic and research institutions.

He is a reviewer for various scientific and engineering journals. He is a Senior Member of IEEE and an Associate Member of the Institution of Engineers (India).

Specialization

Biomedical Signals, Machine Learning, Neural Rehabilitation, Gait Analysis

Publications

Patents

  • Ankit Vijayvargiya, Rajesh Kumar, Vishu Gupta, “A Graph-based Machine Learning Approach for Identification of Human Lower Limb Activities”, Indian Patent Application No. 202311008991, Granted in the Indian Patent office Journal 2023.
  • Aayush Swami, Ankit Vijayvargiya, “Automatic Solar Panel Cleaning Robot”, Indian Design Patent Application No. 378285-001, Granted in Indian Patent Office 2023.
  • Aayush Swami, Ankit Vijayvargiya, “Automatic Solar Panel Cleaning Robot”, Indian Design Patent Application No. 380426-001, Submitted in Indian Patent Office 2023.
  • Ajay Bhardwaj, Ankit Vijayvargiya, Pravar Bhatt, Parul Verma, Parineeta Bagra, Lakshya Sharma, Nishi Chouhan, Swami Keshvanand Institute of Technology, Management & Gramothan, “A Smart Trashbin based on Automatic Recycling and Segregation of Household Waste (STARS-HW)”, Indian Patent Application No. 202311012501, published in the Patent Office Journal, 2023. (Under Examination)

Journals

  • Ankit Vijayvargiya, Puneet Singh, Rajesh Kumar, Nilanjan Dey, Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis using Explainable-AI for Activity Recognition, IEEE Transactions on Instrumentation and Measurement, IEEE.
  • Ankit Vijayvargiya, Rajesh Kumar, Parul Sharma, PC-GNN: Pearson Correlation-based Graph Neural Network for Recognition of Human Lower Limb Activity using sEMG Signal, IEEE Transactions on Human-Machine Systems, IEEE
  • Ankit Vijayvargiya, Vishu Gupta, Rajesh Kumar, Nilanjan Dey, & João Manuel RS Tavares, "A hybrid WD- EEMD sEMG feature extraction technique for lower limb activity recognition," in IEEE Sensors Journal, 21(18), pp.20431-20439.
  • Ankit Vijayvargiya, Aparna Sinha, Naveen Gehlot, Ashutosh Jena, & Rajesh Kumar, “S-WD-EEMD: A Hybrid Framework for Imbalanced sEMG Signal Analysis in Diagnosis of Human Knee Abnormality”, Plos One.
  • Ankit Vijayvargiya, Khemraj Suthar, Rajesh Kumar, & Nilanjan Dey, “Voting-based 1D CNN model for lower limb activity recognition using sEMG signal". Physical and Engineering Sciences in Medicine, Springer, pp 1-13.
  • Ankit Vijayvargiya, Chandra Prakash, Rajesh Kumar, Sanjiv Bansal, & João Manuel RS Tavares, 2021. “Human knee abnormality detection from imbalanced sEMG data.” Biomedical Signal Processing and Control, Elsevier, 66, p.102406
  • Ankit Vijayvargiya, Bharat Singh, Nidhi kumari, & Rajesh Kumar, “sEMG-based Deep Learning Framework for the Automatic Detection of Knee Abnormality, Signal Image and Video Processing, Springer, pp 1-9.
  • Ankit Vijayvargiya, Bharat Singh, Rajesh Kumar, & João Manuel RS Tavares, “Human Lower Limb Activity Recognition Techniques, Databases, Challenges and its Applications using sEMG Signal: An Overview”. Biomedical Engineering Letters, Springer, 12(4), pp 343-358.
  • Ankit Vijayvargiya, Bharat Singh, Rajesh Kumar, Usha Desai, & Jude Hemanth, “Hybrid Deep Learning Approaches for sEMG Signal based Lower Limb Activity Recognition”, Mathematical Problems in Engineering, Hindawi.
  • Ashutosh Jena, Naveen Gehlot, Rajesh Kumar, & Ankit Vijayvargiya, “supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination”, IEEE Access, IEEE.
  • Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya, & Rajesh Kumar, “sXFS-HGR: sEMG-based XAI Fusion Framework for Feature Selection of Hand Gesture Recognition”, Engineering Applications of Artificial Intelligence, Elsevier.
  • Bharat Singh, Suchit Patel, Ankit Vijayvargiya, & Rajesh Kumar, Data-driven Gait Model for Biped Robot over Continuous Changing Speeds and Inclines. Autonomous Robots, Springer.
  • Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques” Journal of Bionic Engineering, Springer, pp 1-15.
  • Bharat Singh, Suchit Patel, Ankit Vijayvargiya, & Rajesh Kumar, Analyzing the Impact of Activation Functions on the Performance of Data-driven Gait Model., Results in Engineering, Elsevier, pp 101029.
  • Bharat Singh, Suchit Patel, Ankit Vijayvargiya, & Rajesh Kumar, “Universal Activation Function for Data-driven Gait Model”, International Journal of Modelling, Identification and Control, Inderscience.
  • Ankit Vijayvargiya, Balan Dhanka, Vishu Gupta, & Rajesh Kumar, “Comparative Assessment of Computational Classifiers for Gait Activity Recognition using sEMG signal”, International Journal of Biomedical Engineering and Technology, Inderscience.

Conferences

  • Ankit Vijayvargiya, Nidhi Kumari, Palak Gupta, & Rajesh Kumar. “Implementation of Machine Learning Algorithms for Human Activity Recognition”. In 2021, 3rd International Conference on Signal Processing and Communication (ICPSC) (pp. 440-444). IEEE.
  • Ankit Vijayvargiya, Rajesh Kumar, Nilanjan Dey, & João Manuel RS Tavares, “Comparative Analysis of Machine Learning Techniques for the Classification of Knee Abnormality.” In 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) (pp. 1-6). IEEE.
  • Ankit Vijayvargiya, Akshit Panchal, Abhishek Parashar, Ayush Gautam, Jayesh Sharma, & Rajesh Kumar, “Deep Learning Frameworks for COVID-19 Detection”, 3rd International Conference on Inventive Research in Computing Applications (ICIRCA 2021), Chennai, India, September 2-4, 2021.
  • Ankit Vijayvargiya, Bhoomika Dubey, Nidhi Kumari, Kaushal Kumar, Himanshu Suthar and Rajesh Kumar “sEMG Sensor-Based Human Lower Limb Activity Recognition Using Machine Learning Algorithms”, IEEE International Conference on Data Science and Information System (ICDSIS-2022), July 29-30, 2022.
  • Ankit Vijayvargiya, Aarsh Raghav, Anchal Bhardwaj, Naveen Gehlot, Rajesh Kumar, “A LIME-Based Explainable Machine Learning Technique for the Risk Prediction of Chronic Kidney Disease”, IEEE International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3), June 8-9, 2023.
  • Ankit Vijayvargiya, Shruti Paliwal, Naveen Gehlot, Rajesh Kumar, & Kieran Moran, “AI-Powered Early Detection of Musculoskeletal Disorders in Garment Industry Operators”, 2nd International Conference on Advancement in Smart, Secure and Intelligent Computing, January 27-29, 2024.
  • Khimraj, Praveen kumar Shukla, Ankit Vijayvargiya, & Rajesh Kumar "Human Activity Recognition using Accelerometer and Gyroscope Data from Smartphones." In 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), pp. 1-6. IEEE, 2020.
  • Aastha Arora, Ankit Vijayvargiya, Rajesh Kumar, & Manoj Tiwari, “Machine Learning based Risk Classification of Musculoskeletal Disorder among the Garment Industry Operators”, 3rd International Conference on Inventive Research in Computing Applications (ICIRCA 2021), Chennai, India, September 2- 4, 2021.
  • Harsh Nandwana, Varnit Kashyap, Arpit Chechani, Praveen Saraswat, & Ankit Vijayvargiya. Design analysis of payload carrying quadcopter using finite element analysis. In 2021 Smart Technologies, Communication and Robotics (STCR) (pp. 1-5). IEEE.
  • Gargi Sharma, Ankit Vijayvargiya, & Rajesh Kumar, “Comparative Assessment among Different Convolutional Neural Network Architectures for Alzheimer’s Disease Detection”, 8th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON-2021), Dehradun, India, November 11-12, 2021.
  • Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, Mapping Model for Genesis of Joint Trajectory using Human Gait Dataset. In 2021 Smart Technologies, Communication and Robotics (STCR) (pp. 1-5). IEEE.
  • Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Data Driven Kinematic Modeling of Human Gait for Synthesize Joint Trajectory”, International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON-2021), Bengaluru, Indi, November 19-21, 2021.
  • Vaishnavi J, Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Inverse Kinematics Solution for 5-DoF Robotic Manipulator using Meta-heuristic Techniques”, International Conference on Industrial Electronics Research and Applications (ICIERA-2021), Delhi, India, December 22-24, 2021.
  • Puru Lokendra Singh, Samidha Mridul Verma, Ankit Vijayvargiya, & Rajesh Kumar, “WD-EEMD based Voting Classifier for hand gestures classification using sEMG signals” 6th International Conference on Computing Communication and Automation (ICCCA-2021), December 17-19, 2021.
  • Parul Sharma, Ankit Vijayvargiya, Bharat Singh, & Rajesh Kumar, “Data Driven Temperature Estimation of PMSM with Regression Models”, 2nd International Conference on Power Control & Computing Technologies (ICPC2T-2022), March 1-3, 2022.
  • Bharat Singh, Suchit Patel, Ankit Vijayvargiya, & Rajesh Kumar, “Variational Inference Data-driven Gait Model for Biped Trajectory Generation”, IEEE IAS Global Conference on Emerging Technologies (GlobConET-2022), May 20-21, 2022.
  • Vaishnavi, J, Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Deep Learning Framework for Inverse Kinematics Mapping for a 5-DoF Robotic Manipulator” IEEE Power Electronics, Drives and Energy Systems (PEDES 2022), Dec 14-17, 2022.
  • Rajat Agarwal Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Mobile Robot Path Planning using Multi-objective Adaptive Ant Colony Optimization” IEEE Power Electronics, Drives and Energy Systems (PEDES 2022), Dec 14-17, 2022.
  • Soumya Bharti, Vikash Kumar Saini, Rajesh Kumar, & Ankit Vijayvargiya, “Attention Mechanism in Deep Learning for Wind Power Forecasting” IEEE Power Electronics, Drives and Energy Systems (PEDES 2022), Dec 14-17, 2022.
  • Anshul Kumar Yadav, Akshita Sharma, Anurag Yadav, Ankit Vijayvargiya, Akash Saxena, & Rajesh Kumar, “Optimization Scheme for Power Transmission in Wireless Sensor Network”, International Conference on Power, Instrumentation, Energy, and Control (PIECON-2023), Feb 10-12, 2023. (Best Paper Award)
  • Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya, & Rajesh Kumar, “sEMG-Based Classification of Finger Movement with Machine Learning”, IEEE International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3), June 8-9, 2023.
  • Naveen Gehlot, Khushi Soni, Priyansh Kothari, Ankit Vijayvargiya, & Rajesh Kumar, “AI-Enhanced Diagnosis: Pediatric Chest X-Ray Classification for Bronchiolitis and Pneumonia”, International Conference on Image Information Processing (ICIIP-2023), November 22-24, 2023.
  • Ashok Kumar Saini, Naveen Gehlot, Ankit Vijayvargiya, Rajesh Kumar & Usha Desai, “Design Development and Analysis of 3-DOF Robotic Arm”, International Conference on Image Information Processing (ICIIP-2023), November 22-24, 2023.
  • Naveen Gehlot, Ankit Vijayvargiya, Akhil Ranjan Garg, Rajesh Kumar, & Usha Desai, “C-LVQ: A Hybrid of Convolutional Neural Network with Learning Vector Quantization for the Diagnosis of Covid-19 Disease”, 20th India Council International Conference (INDICON-2023), December 14-17, 2023.
  • Naveen Gehlot, Suryansh Malik, Ashutosh Jena, Ankit Vijayvargiya, & Rajesh Kumar, “XAI-Driven sEMG Feature Analysis for Hand Gestures”, 3rd International Conference on Power Control & Computing Technologies (ICPC2T-2022), January 18-20, 2024.
  • Ashutosh Jena, Padmaja Sharma, Naveen Gehlot, Ankit Vijayvargiya, & Rajesh Kumar, “Efficient Contaminant Identification in sEMG Signals using Machine Learning”, 3rd International Conference on Power Control & Computing Technologies (ICPC2T-2022), January 18-20, 2024.

Book Chapters

  • Seema Verma, Neha Shekhawat, Ankit Vijayvargiya, Manisha Agarwal, and Manisha Jailia, “A Survey of Weed Identification Using Convolutional Neural Networks”, In Handbook of Research on Applications of Artificial Intelligence, Digital Twin, and Internet of Things for Sustainable Development (pp. 381-403), IGI Global, 2023.
  • Mohammad Shabir, Sarfaraz Nawaz, & Ankit Vijayvargiya, “Voltage Stability Enhancement Using SVC in PSCAD Software” In Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE 2020, pp. 141-153. Springer, Singapore, 2020.
  • Ankit Vijayvargiya, Puru Lokendra Singh, Samidha Mridul Verma, Rajesh Kumar, & Sanjiv Bansal. "Performance comparison analysis of different classifiers for early detection of knee osteoarthritis." In Sensors for Health Monitoring, pp. 243-257. Academic Press, 2019.
  • Vaishnavi, J, Bharat Singh, Ankit Vijayvargiya, & Rajesh Kumar, “Minimization of Joint Angle Jerk for Industrial Manipulator based on Prognostic Behaviour”, Intelligent Prognostics for Engineering Systems with Machine Learning Techniques, CRC Press.
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