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Personal Details
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| Name | Ms Chahat Gupta |
| Designation | Assistant Professor – On Contract |
| Department | Department of Computer Science and Engineering, School of Technology |
| Email | Chahat.Gupta@sot.pdpu.ac.in |
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Educational Qualifications
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| B.Tech. (Electronics and Communication, Guru Nanak Dev University, Amritsar, Punjab), 2019 |
| M.Tech. (Communication Systems, Guru Nanak Dev University, Amritsar, Punjab), 2021 |
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Professional Affiliation
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| I have actively participated in seminars and conferences organized by prestigious institutes, including, NIT Jalandhar, GNDU Amritsar and Shri Mata Vaishno Devi University Jammu to enhance my academic and research expertise. |
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Awards
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Publications / Articles / Conference
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| Published Papers in Journals |
| 'Formation and performance analysis of a 2 µm region thulium-doped fiber laser using different pump wavelengths', Journal of Optical Communications, pp. 1-7, Jun 2026, DOI : https://doi.org/10.1515/joc-2026-0167 |
| 'Effects of thulium (Tm) concentration and numerical aperture on the gain of thulium doped fiber amplifier (TDFA) for amplification in 2 µm region', Journal of Optical Communications, pp. s861-s870, Jan 2022, DOI : https://doi.org/10.1515/joc-2022-0130 |
| 'Dependence of Peak Gain on Pump Wavelength, Pump Power, Numerical Aperture and Doping Concentration of Silica-based Thulium Doped Fiber Amplifier (TDFA) for 2µm Region ', OPTOELECTRONICS AND ADVANCED MATERIALS – RAPID COMMUNICATIONS, pp. 10-17, Jan 2022, DOI : https://oam-rc.inoe.ro/articles/dependence-of-peak-gain-on-pump-wavelength-pump-power-numerical-aperture-and-doping-concentration-of-silica-based-thulium-doped-fiber-amplifier-tdfa-for-2m-region/ |
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| Full Papers in Conference Proceedings |
| 'Modulation Format Identification using Deep Learning Model: EfficientNet-B0 ', International Conference on Artificial Intelligence, Computer and Electrical Engineering (IACE 2025), pp. 35-36, Sep 2025, DOI : file:///D:/Papers/Published%20papers/FINAL%20BOOK%20GURU%20KASHI.pdf |
| 'Modulation Format Identification Using Hybrid Deep Learning and Machine Learning', International Conference on Digital Innovation in Electronics, Communication and AI (DIECAI-2025) , pp. 520-530, Dec 2025, DOI : https://drive.google.com/drive/folders/1YgK0L2ypGBci-TOi32LWV9gzkuRnVc0R |
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