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Dr. Diwakar Agrawal

Dr. Diwakar Agrawal

  • Associate Professor
    Institute of Engineering & Technology

  • Department

    Department of Electronics & Communication

  • Contact Details:

    Email : diwakar.agarwal@gla.ac.in

    Contact Number :9758958707

  • Experience

    16.7 years Teaching/Research experience in the field.

  • Qualifications

    • Ph.D in Electronics & Communication, 2021, from GLA University. Title: Fusion of Pores and Texture Features of the Fingerprint for Forensic Applications.
    • In 2008, ME (Communication Control & Networking) from the Dept. of Electronics & Communication, MITS, Gwalior (M. P).
    • B.Tech (2006): Jaipur Engineering College, Kukas, Jaipur, Rajasthan, India.

  • PhD

    Thesis Supervised

  • Awarded/ Completed-

    Working1

  • M.Tech

    Thesis Supervised

  • Awarded/ Completed4

    Working-

  • Graduate

    Thesis Supervised

  • Awarded/ Completed22

    Working-

  • Agarwal, D., & Bansal, A. (2017). Non-invasive techniques for the screening of diabetic retinopathy. J Biomed Imag Bioeng. 2017; 1 (2): 25-30. 26 J Biomed Imag Bioeng. 2017 Volume 1 Issue, 2, 3.
  • Srivastava, P., Agarwal, D., & Bansal, A. (2019). Ear Based Human Identification Using A Combination Of Wavelets And Multi-Scale Local Binary Pattern. International Journal of Future Generation Communication and Networking, 12(3), 41-56.
  • Agarwal, D., & Bansal, A. (2020). Fingerprint pores extraction by using automatic scale selection. International Journal of Biometrics, 12(3), 317-336.
  • Agarwal, D., & Bansal, A. (2020). Fingerprint liveness detection through fusion of pores perspiration and texture features. Journal of King Saud University-Computer and Information Sciences.
  • Agarwal, D., & Bansal, A. (2021). A utility of pores as level 3 features in latent fingerprint identification. Multimedia Tools and Applications, 1-20.
  • Agarwal, D., & Bansal, A. (2022). An alignment-free non-invertible transformation-based method for generating the cancellable fingerprint template. Pattern Analysis and Applications, 1-16. https://doi.org/10.1007/s10044-022-01080-5.
  • Agarwal, D., Sweta, & Bachan, P. (2023). Machine learning approach for the classification of wheat grains. Smart Agricultural Technology, 3, 100136.
  • Agarwal, D. (2024). A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties. Int. j. inf. tecnol. 16, 1261–1274. https://doi.org/10.1007/s41870-023-01598-9
  • Hussain, Z., & Agarwal, D. (2015). A comparative analysis of edge detection techniques used in flame image processing. International Journal of Advance Research In Science And Engineering IJARSE, 4, 3703-3711.
  • Agarwal, D., & Bhargava, A. (2024). On-tree fruit detection system using Darknet-19 based SSD network. Journal of Food Measurement and Characterization, 18(8), 7067-7076.
  • Gupta, D., Bhargava, A., Agarwal, D., Alsharif, M. H., Uthansakul, P., Uthansakul, M., & Aly, A. A. (2024). Deep Learning-Based Truthful and Deceptive Hotel Reviews. Sustainability, 16(11), 4514.
  • Alshammari, O., Basem, A., Hameed, A. I., Agarwal, D., Shawabkeh, A., Kenjrawy, H. A., ... & Jerbi, H. (2024). Advanced eco-friendly power and cooling cogeneration-thermal energy storage utilizing phase change materials and chemisorption in renewable-based configurations. Thermal Science and Engineering Progress, 54, 102813.
  • Alshammari, O., Basem, A., Ghodratallah, P., Agarwal, D., Musa, V. A., Ali, S. H., ... & Jerbi, H. (2024). Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk. International Journal of Hydrogen Energy, 81, 292-304.
  • Rong, Q., Shami, H. O., Ali, A. B., Alshamrani, A., Agarwal, D., Ahmed, M., ... & El-Shafay, A. S. (2025). Environmental, financial, and technological viability of based on a Grid/PV/battery/wind/electrolyzer/biogas hybrid configuration for producing energy and hydrogen. International Journal of Hydrogen Energy, 103, 836-850.
  • Zou, Q., Jaffar, H. A., El-Shafay, A. S., Agarwal, D., Munshid, L. S., Ahmed, M., ... & Almeshaal, M. A. (2025). Comprehensive technical evaluation and optimization of a carbon-neutral biomass-based power system integrating supercritical CO2 combustion and CO2 liquefaction with hydrogen production. International Journal of Low-Carbon Technologies, 20, 303-314.
  • Hai, T., Seger, A. A., El-Shafay, A. S., Agarwal, D., Al-Yasiri, A. J., Rajab, H., ... & Singh, N. S. S. (2025). Techno-economic assessment and multi-objective optimization of CO2 hydrogenation via geothermal energy storage using synthetic natural gas, refrigeration, and freshwater production. International Journal of Low-Carbon Technologies, 20, 289-302.
  • Hai, T., Shami, H. O., El-Sharkawy, M. R., Agarwal, D., Ahmed, M., Mohammed, A. I., ... & Sawaran Singh, N. S. (2024). Boosting energy markets in grid with a focus on battery storage, including flexible loads and electric vehicles, via a two-stage optimization framework. International Journal of Low-Carbon Technologies, 19, 2604-2618.
  • Hai, T., Shami, H. O., Saleh, S. A., Agarwal, D., Rajab, H., Mahmood, A. M., ... & Singh, N. S. S. (2024). Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm. International Journal of Low-Carbon Technologies, 19, 2568-2579.
  • Hai, T., Shami, H. O., Ahmed, M., Agarwal, D., Rajab, H., Mohammed, A. I., ... & Singh, N. S. S. (2024). Techno-economic and environmental analysis of an off-grid hybrid system using solar panels, wind turbine, diesel generator, and batteries for a rural health clinic considering. International Journal of Low-Carbon Technologies, 19, 2195-2209.

List of Conference Papers and Book Chapters

  • Jindal, S., & Agarwal, D. (2014, September). Performance evaluation of image transmission over MC-CDMA system using two interleaving schemes. In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1341-1347. IEEE.
  • Agarwal, D. (2015, December). GLCM based analysis of combustion flame parameters using edge detection of flame radiation images. In 2015 Annual IEEE India Conference (INDICON), pp. 1-5. IEEE.
  • Hussain, Z., & Agarwal, D. (2015, September). Artifacts removal in LBP based flame edges using binary morphology. In 2015 International Conference on Signal Processing, Computing and Control (ISPCC), pp. 184-189, IEEE.
  • Agarwal, D., & Saraswat, S. K. (2016, July). Determination Of Seed Points In Region Growing Based Retinal Blood Vessels Segmentation. In 2016 International Conference on Science Technology and Management (ICSTM), pp. 29-36.
  • Chandra, M., Agarwal, D., & Bansal, A. (2016, July). Image transmission through wireless channel: A review. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1-4, IEEE.
  • Chandra, M., Agarwal, D., & Bansal, A. (2017, July). Performance analysis of image transmission through Rayleigh channel. In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-5, IEEE.
  • Srivastava, P., Agrawal, D., & Bansal, A. (2020). Ear detection and recognition techniques: a comparative review. In: Kolhe, M., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94, pp. 533-543, Springer, Singapore,
  • Agarwal, D., & Bansal, A. (2020). Non-adaptive and Adaptive Filtering Techniques for Fingerprint Pores Extraction. In: Kolhe, M., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94, pp. 643-654, Springer, Singapore.
  • Agarwal, D., Garima, & Bansal, A. (2021). A Utility of Ridge Contour Points in Minutiae-Based Fingerprint Matching. In: Chaki, N., Pejas, J., Devarakonda, N., Rao Kovvur, R.M. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 56. (pp. 273-286) Springer, Singapore.
  • Agarwal, D., & Bansal, A. (2021). Assessment of Latent Fingerprint Image Quality Based on Level 1, Level 2, and Texture Features. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1165, pp. 489-501, Springer, Singapore.
  • Mangal, D., Agrawal, D., Tiwari, S., & Singh, T. (2021). IoT Enabled Smart Aiport System to Avoid Covid-19. In Proceedings of 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 2021, pp. 1-5.
  • Agarwal, D., & Mangal, D. (2022). Comparative Analysis of Color-Based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos. In Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2021 (pp. 57-66). Singapore: Springer Nature Singapore.
  • P. Bachan and D. Agarwal, "Outage and Throughput Performance of NOMA Inspired Cognitive IoT Network with Imperfect SIC," 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 2023, pp. 1-6, doi: 10.1109/CISCT57197.2023.10351319
  • D. Agarwal and P. Bachan, "Segmentation of leaf veins using principal curvature and morphological methods," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10306400
  • Singh, P., Agarwal, D. (2023). Contactless Fingerprint Matching: A Pandemic Obligation. In: Sharma, H., Shrivastava, V., Bharti, K.K., Wang, L. (eds) Communication and Intelligent Systems. ICCIS 2022. Lecture Notes in Networks and Systems, vol 689. Springer, Singapore. https://doi.org/10.1007/978-981-99-2322-9_20
  • Agarwal, D. (2022, June). Segmentation of Cattle Using Color-Based Skin Detection Approach. In International Conference on Soft Computing and Signal Processing (pp. 621-633). Singapore: Springer Nature Singapore.

PATENTS:

  • Keyless Entry Lock (Published- patent application No. 202411071904)
  • Attendance Management System (Published- patent application No. 202411071902)
  • Empty Bullet Case Collector for Firearms (Published- patent application No. 202411055516A)
  • Adjustable Vice (Published- patent application No. 202411055511A)
  • Low Power Digital FIR Filter

Workshops/Short-term course/Seminar Attended

  • 01Workshop on Hands-on LabVIEW , Duration: 2 days
  • 02Workshop on ‘Advances in Digital Signal Processing’, Duration: 2 days
  • 03Workshop on Envision, Engage & Energize, GLA University, Mathura
  • 04Workshop on ‘Advances in Planar Antennas’, Duration: 2 days
  • 05IEEE International Conference on ‘Computational Intelligence & Communication   Networks (CICN 2012)’, Duration : 3 days
  • 06Workshop on Mission 10X UTLP,WIPRO Technologies, Bangalore, Duration: 3 days
  • 07Short term course on Spectrum Sensing for MIMO-OFDM Cognitive Radio Systems at IIT Kanpur, Duration: 3 days.
  • 08Workshop on Advanced Pattern Recognition Techniques for Biometrics at IIT Indore, Duration: 5 Days. 
  • 09International seminar on Forensic Comparative Science: Generalizing across Disciplines at Sanskriti University, Duration: 1 day
  • 10FDP on Embedded systems and IoT, Duration: 3 days

Achievements

  • Worked as a coordinator of the online training course on Remote Sensing & Digital Image Analysis conducted by Indian Institute of Remote Sensing from 4 Sept to 14 Sept, 2018.

GLA University

17km Stone, NH-19,
Mathura-Delhi Road
P.O. Chaumuhan,
Mathura-281 406 (U.P.) India

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250909, 241489,
+91-9927064017

Email: glauniversity@gla.ac.in

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