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Dr. Jyoti Yadav
Assistant Professor
Qualification
B.Tech, M.Tech, PhD, Delhi University
Email
Jyoti.yadav@nsut.ac.in

Bio-sketch

Dr. Jyoti Yadav earned her B.Tech degree in Biomedical Engineering from Guru Jambeshwer University, Hissar, Haryana, in 2007. She later completed her M.Tech degree in Process Control from the Division of Instrumentation and Control Engineering at Netaji Subhas Institute of Technology, University of Delhi, in 2011. In 2018, she successfully obtained her Ph.D. degree in the field of "Some Aspects of Biomedical Signal Monitoring and Control" from Delhi University. Currently, She serves as an Assistant Professor in the Department of Instrumentation and Control Engineering at Netaji Subhas University of Technology, New Delhi. Her academic achievements include numerous publications in international journals and conferences. She has demonstrated her commitment to education by guiding B.Tech, M.Tech, and Ph.D. students, presently supervising three Ph.D. scholars. Her research contributions were recognized with the Gowri Memorial Award-2019 by IETE for her paper titled "Levenberg–Marquardt-based Non-invasive Blood Glucose Measurement System," co-authored with Asha Rani, Vijander Singh, and Bhaskar Mohan Murari, published in the IETE Journal of Research (Vol. 64, No. 1, Jan-Feb 2018). She holds membership in IEEE and is a life member of the Indian Society for Technical Education (ISTE) and the Institution of Electronics and Telecommunication Engineers (IETE). She actively participates as a reviewer for international journals and contributes as a Technical Program Committee (TPC) member in numerous conferences. She has also delivered expert lectures in various short-term courses.

Areas of Interest

 

Her research pursuits encompass a wide spectrum of areas, including Biomedical Instrumentation, Biomedical Signal Processing, Physiological Control Systems, Non-invasive Glucose Monitoring, and Control. Information a

 

 

 

Publications in International Journal


Nandini, Durgesh, Jyoti Yadav, Asha Rani, Vijander Singh, Oleg V. Kravchenko, and Neeru Rathee. "Improved Patient-Independent Seizure Detection Using Hybrid Feature Extraction Approach with Atomic Function-Based Wavelets." Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2023): 1-22.

Nandini, Durgesh, Jyoti Yadav, Asha Rani, and Vijander Singh. "Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms."  Biomedical Signal Processing and Control 85 (2023): 104894.

Md Saif Ostagar, Asha Rani and Jyoti Yadav, Blood glucose control using GA tuned fractional order and two degrees of freedom PID controllers,International Journal of Nonlinear Dynamics and Control (IJNDC)

Harsh Gupta1, Naman Bansal1, Swati Garg1, Hritesh Mallik1, Anju Prabha1, Dr. Jyoti Yadav, A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images, International Journal of Imaging Systems and Technology, 2022

Prabha, Anju, Jyoti Yadav, Asha Rani, and Vijander Singh. "Intelligent estimation of blood glucose level using wristband PPG signal and physiological parameters." Biomedical Signal Processing and Control 78 (2022): 103876.

Prabha, A., Yadav, J., Rani, A., & Singh, V. (2021). Respiratory Effort Signal Based Sleep Apnea Detection System Using Improved Random Forest Classifier. IETE Journal of Research, 1-14..

Prabha, A., Yadav, J., Rani, A. and Singh, V., 2021. Design of Intelligent Diabetes Mellitus Detection System using Hybrid Feature Selection based XGBoost Classifier. Computers in Biology and Medicine, p.104664.

Pachauri, N., Yadav, J., Rani, A. and Singh, V., 2019. Modified fractional order IMC design based drug scheduling for cancer treatment, Computers in biology and medicine, 109, pp.121-137.

Narang A , Batra B ,Ahuja A , Yadav J , Pachauri N, Classification of EEG signals for Epileptic Seizures using Levenberg-Marquardt Algorithm based Multilayer Perceptron Neural Network, Journal of Intelligent & Fuzzy Systems 34 (2018) 1669–1677 

Yadav, J., Rani, A., Singh, V. and Murari, B.M., 2018. Levenberg–Marquardt-based non-invasive blood glucose measurement system. IETE Journal of Research, 64(1), pp.116-123. 

Yadav J, Rani A, Singh V, Murari BM. Investigations on Multisensor-Based Noninvasive Blood Glucose Measurement System. Journal of Medical Devices. 2017 Sep 1;11(3):031006. 

Yadav J, Rani A, Singh V. Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients. Journal of medical systems. 2016 Dec 1;40(12):254.

Yadav J, Rani. A., Singh V and Murari. B.M., Comparative Study of Different Measurement Sites using NIR Based Non-invasive Glucose Measurement system, Procedia Computer Science 70 ( 2015 ) 469 – 475.   

Yadav J, Rani. A., Singh V and Murari. B.M., “Prospects and limitation of non-invasive blood glucose monitoring using Near-infrared Spectroscopy”, Biomedical Signal processing and control, 18C, pp. 214-227 (2015).

J. Yadav, A. Rani, G. Garg “Intelligent Heart Rate Controller for Cardiac Pacemaker “International Journal of Computer Science Applications” Vol -36 ,PP-22-29, Dec 2011.ee

Publications in National Journal

 

Publications in National Conferences

 

Publications in International Conferences


Singh, Balbir, Jyoti Yadav, Manisha Singh, and Asha Rani. "Deep Neural Network models for classification of significant attributes to predict Pre-Diabetes Mellitus." In 2023 5th International Conference on Power, Control & Embedded Systems (ICPCES), pp. 1-4. IEEE, 2023. Shaan, Bhavya, Jyoti Yadav, and Anju Prabha. "ML based Non-Invasive Diabetes Detection System using Pulse Decomposition Analysis of PPG Signal." In 2022 8th International Conference on Signal Processing and Communication (ICSC), pp. 417-422. IEEE, 2022.

Shaan, Bhavya, Anju Prabha, and Jyoti Yadav. "Pulse Decomposition Analysis Based Non-invasive Diabetes Detection System." In International Symposium on Intelligent Informatics, pp. 291-302. Singapore: Springer Nature Singapore, 2022.

Panjwani, Bharti, Vipul Kumar, Jyoti Yadav, and Vijay Mohan. "Optimum LQR Controller for Inverted Pendulum Using Whale Optimization Algorithm." In International Conference on Signals, Machines, and Automation, pp. 307-315. Singapore: Springer Nature Singapore, 2022. 
  • Rani, Mamta, Jyoti Yadav, Neeru Rathee, and Sonal Goyal. "Comparative Study of Various Preprocessing Technique for CNN based Image Fusion." In 2022 IEEE Delhi Section Conference (DELCON), pp. 1-4. IEEE, 2022.
  • Nandini, Durgesh, Jyoti Yadav, Asha Rani, Vijander Singh, and Oleg V. Kravchenko. "Efficient Patient Independent Seizure Detection System using WAF based Hybrid Feature Extraction Method and XGBoost classifier." In 2022 IEEE Delhi Section Conference (DELCON), pp. 1-5. IEEE, 2022.

 

Himanshu Varshney  , Jyoti Yadav , Himanshu Chhabra, Non-linear fractional order fuzzy PD plus I controller for trajectory optimization of 6-DOF modified Puma 560 robotic arm Ayushi Mallick , Jyoti Yadav, Himanshu Chhabra, Modelling And Control of Mean Arterial Pressure Using Interval Type – 2 Fuzzy Logic in Different Controller Schemes

Nandini D, Yadav J, Rani A. and  Singh V, Improved Patient-Independent Seizure Detection System using Novel Feature Extraction Techniques, DoSCI 2021

Singh A., Basak D, Das U, Chugh P., Yadav J., A comparative analysis of intelligent classifiers for seizure detection using EEG signals, ICACIT 2021

Prabha, A, Yadav J, Rani A. and  Singh V. “Non – Invasive Diabetes Mellitus Detection System Using Machine Learning Techniques.” In 2021 11th International conference on Cloud Computing, Data Science and Engineering (Confluence), IEEE.

Vasudeva J, Rastogi P, Yadav J. Glaucoma Detection and Segmentation as Computer Aided Design: A review and study. In2020 IEEE 17th India Council International Conference (INDICON) 2020 Dec 10 (pp. 1-7). IEEE.

Garg, H., & Yadav, J. Optimal Fuzzy-PID Controller Design by Grey Wolf Optimization for Renewable Energy-Hybrid Power System. In Control Applications in Modern Power System (pp. 77-88).

Springer, Singapore. Bisht P, Yadav J. Optimal Speed Control of Hybrid Electric Vehicle Using GWO Based Fuzzy-PID Controller. In2020 International Conference on Advances in Computing, Communication & Materials (ICACCM) 2020 Aug 21 (pp. 115-120). IEEE. 

Sharma, M., Malhotra, H., Kumar, N. and Yadav, J., 2019, September. Deep Learning with Convolutional Neural Network for Controlling Human Arm Prosthesis using sEMG signals. In 2019 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 796-803). IEEE.

Singh, J., Singh, V., Rani, A., Yadav, J. and Mohan, V., 2018, May. Performance Analysis of Fractional Order Fuzzy PID Controller for Hybrid Power System Using WOA. In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 976-983). IEEE.

Kumar A , Yadav J, Singh V, Performance Analysis of PID and GA-FOPID controller for Depth of Anesthesia, –2nd International Conference on Inventive Computation Technologies (ICICT 2017)

Singh, S., Rani, A., Singh, V. and Yadav, J., 2016, September. Soft sensor for inferential control in non-isothermal CSTR. In Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on (pp. 1785-1790). IEEE. 

Kumar, H., Kumar, R., Yadav, J., Rani, A. and Singh, V., 2016, July. Genetic Algorithm based PID controller for blood pressure and Cardiac Output regulation. In Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conference on (pp. 1-6). IEEE.

Tandon, A., Mumtaz, F., Jain, G., Rani, A. and Yadav, J., 2016, February. Efficacy of system optimization by Genetic Algorithm with and without noise. In Signal Processing and Integrated Networks (SPIN), 2016 3rd International Conference on (pp. 533-538). IEEE. 

Bhardwaj, A., Gupta, A., Jain, P., Rani, A. and Yadav, J., 2015, February. Classification of human emotions from EEG signals using SVM and LDA Classifiers. In Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on (pp. 180-185). IEEE. 

Yadav, J., Rani, A., Singh, V. and Murari, B.M., 2014, February. Near-infrared LED based non-invasive blood glucose sensor. In Signal Processing and Integrated Networks (SPIN), 2014 International Conference on (pp. 591-594). IEEE.

Yadav J, Rani. A., Singh V and Murari. B.M., “Near-infrared Spectroscopy in biomedical applications,” In Proceeding 2nd National Conference of Medical Engineering & Technologies: Issue, Challenge and Benefits, 4th -5th  April, 2013.

Books/Book Chapters


Yadav J, Srivastav N, Agarwal S, Rani A.,Denoising of Continuous Glucose Monitoring signal with Adaptive SG Filter, 3rd International Conference on:
Soft Computing: Theories And Applications, NIT  Jalandhar, Punjab, India 21-23December 2018.

Kumar S, Srivastava V., Prasad S.,Yadav J., Chhabra H., Design of FOPID Controller for Regulating Anesthesia, 3rd International Conference on: Soft Computing: Theories And Applications, NIT  Jalandhar, Punjab, India 21-23December 2018.

Dagar, M., Mishra, N., Rani, A., Agarwal, S. and Yadav, J., 2018. Performance Comparison of Hampel and Median Filters in Removing Deep Brain Stimulation Artifact. In Innovations in Computational Intelligence (pp. 17-28). Springer, Singapore. 

Yadav, J., Rani, A., Singh, V. and Murari, B.M., 2018. Design of Low Cost Blood Glucose Sensing System Using Diffused Reflectance Near-Infrared Light. In Networking Communication and Data Knowledge Engineering (pp. 197-216). Springer, Singapore.

Gupta, T., Yadav, J., Chaudhary, S. and Agarwal, U., 2017, September. EMG Pattern Classification Using Neural Networks. In The International Symposium on Intelligent Systems Technologies and Applications (pp. 232-242). Springer, Cham

Mohan V., Yadav J., Chhabra H., Rani A., Singh V. and Kumar V., Application of Whale Optimization Algorithm to design LQR controller for Inverted Pendulum, Recent advancement in Science, Engineering and Technology Oct 21-22, 2016. 

Publications (Click to expand)
  1. Jyoti Y, Asha R., Vijander S. and Bhaskar M.M., “Prospects and limitation of non-invasive blood glucose monitoring using Near-infrared Spectroscopy”, Biomedical Signal processing and control, 18C, pp. 214-227 (2015), DOI: 10.1016/j.bspc.2015.01.005.
  2. Aayush Bhardwaj, Ankit Gupta, Pallav Jain, Asha Rani and Jyoti Yadav, The Classification of human emotion from EEG signals using SVM and LDA Classifier, second International conference on Signal Processing Integrated Network(SPIN-2015), 19-20 Feb. 2015.
  3. Jyoti Y, Asha R., Vijander S. and Bhaskar M.M, “Near-infrared LED based Non-invasive Blood Glucose Sensor”, International conference on Signal Processing Integrated Network(SPIN-2014), 20-21 Feb. 2014,pp 591 – 594.
  4. Jyoti Y, Asha R., Vijander S. and Bhaskar M.M., “Near-infrared Spectroscopy in biomedical applications,” In Proceeding 2nd National Conference of Medical Engineering & Technologies: Issue, Challenge and Benefits, 4th -5th April, 2013. 
  5. Jyoti Yadav ,Asha Rani, Girisha Garg “Intelligent Heart Rate Controller for Cardiac Pacemaker “International Journal of Computer Science Applications” Vol -36 ,PP-22-29, Dec 2011.

 

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