Dr. Anuja Bhargava

Assistant Professor
Institute of Engineering & Technology
Department
Department of Electronics & Communication
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Experience

12 years of Experience
Qualifications
- Doctor of Philosophy, Full Time from GLA University, Mathura on the topic “Quality Evaluation of Fruits using Image Processing” under the supervision of Prof. Atul Bansal, Deptt. of Electronics and Communication Engineering, in the session 2017 to 2020
- Master of Technology, Sequential (Digital Communication) with First Class (8.32 CGPA) from Uttrakhand Technical University, Dehradun on the topic “Evaluation of Different Feature Extraction Techniques for Face Recognition” under the supervision of Dr. Brij Mohan Singh, Associate Professor, Deptt. of Computer Science, in the session 2010 to 2013
- Bachelor of Engineering (Electronics and Communication Engineering) with First Class (75.1%) from Modi Institute of Technology, Kota in the session 2005 to 2009.

Publication

Book Published

01 Anuja Bhargava, Digital Image Processing for (Computer Science), by Ashirwad Publications, ISBN No.978-93-80343-91-4
02 Anuja Bhargava, Digital Image Processing for (Electronics & Communication), by Ashirwad Publications, ISBN No.978-93-83266-56-2

International Journals

01 Bhargava A., Yadav D., Mani E., Sachdeva A., “Design and Parametric Characterization of CNTFET Based Stable Static Random Access Memory Bit Cell for Low Power Applications,” International Journal of Electronics and Communications, 2024 (Accepted).
02 Goswami O.P., Shukla A., Kumar M., Bhargava A., “Optimal design of digital low-pass filters using multiverse optimization,” Journal of Electrical Engineering, vol. 75, no. 4, pp. 253–257, 2024.
03 Bhargava A., Sachdeva A., Sharma K., Alsharif M.H., Uthansakul P., Uthansakul M., “Hyperspectral Imaging and Its Applications: A Review,” Heliyon, vol. 10, no. 12, 2024.
04 Agarwal D., Bhargava A., “On-tree fruit detection system using Darknet-19 based SSD network,” Journal of Food Measurement and Characterization, 2024, pp. 1–10.
05 Gupta D., Bhargava A., Agarwal D., Alsharif M.H., Uthansakul P., Uthansakul M., Aly A.A., “Deep Learning-Based Truthful and Deceptive Hotel Reviews,” Sustainability, vol. 16, no. 11, 4514, 2024.
06 Bhargava A., Shukla A., Goswami O., Alsharif M.H., Uthansakul P., Uthansakul M., “Plant Leaf Disease Detection, Classification and Diagnosis using Computer Vision and Artificial Intelligence: A Review,” IEEE Access, 2024.
07 Sachdeva A., Sharma K., Bhargava A., Abbasian E., “A CNTFET based stable, single ended 7T SRAM cell with improved write operation,” Physica Scripta, vol. 99, 2024.
08 Bhargava A., Bansal A., Goyal V., “Machine learning & computer vision-based optimum black tea fermentation detection,” Multimedia Tools and Applications, vol. 82, pp. 43335–43347, 2023.
09 Sharma A., Chaturvedi R., Bhargava A., “Multi-level Segmentation of Fruits Using Modified Firefly Algorithm,” Food Analytical Methods, Springer, 2022.
10 Sharma A., Chaturvedi R., Bhargava A., “A novel opposition based improved firefly algorithm for multilevel image segmentation,” Multimedia Tools and Applications, Springer, 2022.
11 Bhargava A., Bansal A., Goyal V., “Machine learning-based automatic detection of novel coronavirus (COVID-19) disease,” Multimedia Tools and Applications, Jan. 2022, https://doi.org/10.1007/s11042-022-12508-9.
12 Bhargava A., Bansal A., Goyal V., Bansal P., “A Review on Tea Quality and Safety using Emerging Parameters,” Journal of Food Measurement and Characterization, Jan. 2022, https://doi.org/10.1007/s11694-021-01232-x.
13 Bhargava A., Bansal A., Goyal V., “Machine Learning–Based Detection and Sorting of Multiple Vegetables and Fruits,” Food Analytical Methods, 2021, https://doi.org/10.1007/s12161-021-02086-1.
14 Bhargava A., Bansal A., “Novel Coronavirus (COVID-19) Diagnosis using computer vision and artificial intelligence techniques: A Review,” Multimedia Tools and Applications, vol. 385, 2021, https://doi.org/10.1007/s11042-021-10714-5.
15 Bhargava A., Bansal A., “Classification and Grading of multiple variety of Apple fruit,” Food Analytical Methods, 2021, https://doi.org/10.1007/s12161-021-01970-0.
16 Bhargava A., Bansal A., “Fruits and vegetables quality evaluation using computer vision: A review,” Journal of King Saud University – Computer and Information Sciences, vol. 13, no. 3, pp. 243–257, Mar. 2021, https://doi.org/10.1016/j.jksuci.2018.06.002.
17 Bhargava A., Bansal A., “Machine learning based Quality Evaluation of Mono-Colored Apples,” Multimedia Tools and Applications, 2020, https://doi.org/10.1007/s11042-020-09036-9.
18 Bhargava A., Bansal A., “Quality Evaluation of Mono & Bi-Colored Apples with Computer Vision and Multispectral Imaging,” Multimedia Tools and Applications, vol. 79, pp. 7857–7874, 2020, https://doi.org/10.1007/s11042-019-08564-3.
19 Bhargava A., Bansal A., “Automatic Detection and Grading of Multiple Fruits by Machine Learning,” Food Analytical Methods, vol. 13, pp. 751–761, 2019, https://doi.org/10.1007/s12161-019-01690-6.

Conferences/ Seminars/Workshops Attended

01 Session Chair, 2nd International Conference on Communication and Artificial Intelligence (ICCAI-2020), Nov 19–20, 2021.
02 FDP (ATAL Academy) on Deep Learning, IIIT Vadodara, Dec 12–17, 2021.
03 FDP on Recent Advancement on Electronics and Computer Intelligence, SUIT Burla, Odisha, Apr 26–30, 2021.
04 FDP on Smart Application of Nano Science for Innovative Engineering Aspects, Poornima Institute, Jaipur, Apr 13–14, 2020.
05 FDP on Thriving R&D Ecosystem in Higher Education, SAGE University, Indore, Jun 17–20, 2020.
06 Webinar on “Development of Computational Model using Deep Learning,” ICFAI University, Dehradun, Jun 14, 2020.
07 FDP on Recent Advances in Computer Science and Allied Domains, Sharda University, Noida, Jun 8–12, 2020.
08 Mendeley Presentation, hosted by Mendeley Advisor, Sep 18, 2018.
09 National Workshop on Plagiarism, Academic Integrity, and Smart Referencing using Mendeley, GLA University, Sep 29, 2018.
10 FDP on ANN and Deep Learning, Electronics & ICT Academy, PDPM IIITDM Jabalpur, Jun 11–15, 2018.
11 FDP on AI and Machine Learning, Electronics & ICT Academy, IIT Roorkee, Jun 4–8, 2018.
12 FDP on Numerical Optimization – A Practical Approach, GLA University, May 11–13, 2018.
13 IEEE National Workshop on Advances in Information Processing, GLA University, Apr 7–8, 2018.
14 Seminar on “Introductory Course on Intellectual Property Rights,” GLA University, Feb 22, 2018.
15 GIAN Course on “Theory and Application of Correlation Filters for Computer Vision,” Osmania University, Hyderabad, Nov 13–17, 2017.
16 Tutorial on MATLAB, IEEE Conference UPCON-2017, GLA University, Oct 28, 2017.
17 AICTE Short-Term Course on Induction Training Programme, Career Point University, Kota, Jun 12–16, 2017.
18 FDP on “MATLAB and LaTeX: Tools for Research,” RTU Kota, Feb 12–16, 2016.
19 Workshop on “Fire Prevention, Safety Management, and Emergency Education,” Sep 15, 2015.
20 AICTE Short-Term Course on Induction Training Programme, MAIIT Kota, Mar 4–8, 2013.
21 Seminar on “Higher Order Sliding Mode Protocol,” RTU Kota, Jan 19, 2013.
22 Seminar on “MATLAB & Simulink for Engineering Education,” MathWorks India, Dehradun, Jul 12, 2012.
23 IEEE CS Workshop on “Knowledge Mining and Their Models,” Poornima College of Engineering, Jaipur, Dec 24, 2011.
24 IEEE MTTS Workshop on “Advanced Antenna Design and Microwave Engineering,” RTU Kota, Oct 8–9, 2011.
25 IEEE MTTS Workshop on “Recent Trends in RF Technologies,” RTU Kota, Feb 26–27, 2011.
26 Workshop on “Microwave Integrated Circuits,” Modi Institute of Technology, Kota, Nov 30, 2008.
27 Training at Instrumentation Limited, Kota, Jun 26 – Jul 25, 2007.

Papers Published in International Conferences

01 Bhargava A., Singh D., Agarwal D., “Deep Learning Based Teal Fermentation Grading,” International Conference on Innovative Computing and Communication, pp. 171–186, 2024.
02 Bhargava A., Bansal A., “Detection & Grading of Different Vegetables Using Machine Learning,” 3rd International Conference on Information and Data Science (ICDIS-2021), May 14–15, 2021. Springer, Scopus Indexed. DOI: 10.1007/978-981-16-5689-7_60.
03 Bhargava A., Bansal A., “Machine Learning-Based Detection and Grading of Varieties of Apples and Mangoes,” In: Goyal V., Gupta M., Trivedi A., Kolhe M.L. (eds), Proceedings of International Conference on Communication and Artificial Intelligence, Lecture Notes in Networks and Systems, vol 192, pp. 455–462, Springer, Singapore, 2021. DOI: 10.1007/978-981-33-6546-9_43.
04 Bhargava A., Bansal A., “Grading of Variety of Bi and Mono-Colored Apples,” In: Reddy V.S., Prasad V.K., Wang J., Reddy K.T.V. (eds), Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing, vol 1340, Springer, Singapore, 2022. DOI: 10.1007/978-981-16-1249-7_35.
05 Sharma M., Bhargava A., “Chaos Based Image Encryption Using Two-Step Iterated Logistic Map,” IEEE International Conference on Recent Advances and Innovation in Engineering (ICRAIE), Jaipur, India, Dec 23–25, 2016.
06 Chateja S., Bhargava A., “DSets-DDC Clustering,” IEEE International Conference on Recent Advances and Innovation in Engineering (ICRAIE), Jaipur, India, Dec 23–25, 2016.

Others

Administrative Experience

01 Co-coordinator, Department Level Activity
02 Co-coordinator, Various Technical Workshop
03 Coordinator, Final Year Student Seminars.
04 Coordinator, Final Year Student Projects.

Subjects Handled

01 Digital Image Processing, Computer Organization, Microprocessor, Digital Signal Processing,Very Large Scale Integration, Control System, Signal & System, Electro Magnetic Field Theory, Basic Electrical, and Electronics.

Convenership

01 Served as Convener of “National Conference on Emerging Trends in Control, Communication and Computer Science (ET3CS’11)-2011” held at LBS Academy Kota on 6-10 April 2012.

Other Certificates

01 Keynote Speaker in International Conference on Data Science and Applications, GIT, Jaipur.
02 Completed online course Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Coursera, Stanford University.
03 Completed online course Machine Learning, Coursera, Stanford University.
04 Completed online course Structuring Machine Learning Projects, Coursera, Stanford University.
05 Reviewer for Food Analytical Methods (Springer, SCI Indexed).
06 Reviewer for Arabian Journal for Science and Engineering (Springer, SCI Indexed).
07 Reviewer for Information Processing in Agriculture (Elsevier, SCOPUS Indexed).
08 Reviewer for Journal of Engineering Research and Reports.
09 Attended MathWorks India Seminar.
10 Participated in COLLAGE, organized by UCE, Kota.
11 Volunteered in Nucleus 2008, a National Level Technical Event at MIT, Kota.
12 Participated in PRATIBHA 2008, District Level Essay Competition.
13 Participated in Technical Workshop on Microwave Integrated Circuits, 2008.
14 Participated in Techfest Nexus 2007, held at MNIT Jaipur.
15 Certificate of Achievement in Core ZAVA, C++, Data Structures & Algorithms (DSA), and C.

Experience

01 Assistant Professor at GLA University, Mathura since October 8, 2021
02 Assistant Professor Research at GLA University, Mathura Since February 1, 2021, till October 7,2021
03 Gurukul Institute of Engineering & Technology, Kota as an Assistant Professor in Electronics and Communication Engineering Department since July 30, 2013, till July 30, 2017
04 Maharishi Arvind International Institute of Technology, Kota as a Lecturer in Electronics and Communication Engineering Department since March 8, 2010, till July 29, 2013.

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