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Mansi Rastogi

  • Ph.D. (Pursuing) – Gujarat Technological University, Ahmedabad

  • M.Tech (Electronics and Communication Engineering) – NITTTR Chandigarh (MHRD, Govt. of India)

  • B.Tech (Electronics and Communication Engineering) – Uttar Pradesh Technical University, Lucknow

Email: mansi.rastogi@gsfcuniversity.ac.in

Ms. Mansi Rastogi is a Master’s degree holder in Electronics and Communication Engineering with over 15 years of extensive academic experience in teaching, mentoring, and research. She is deeply committed to nurturing technically sound and innovative engineers. Her academic journey is driven by a strong passion for teaching excellence, continuous learning, and meaningful research in emerging communication and computing technologies.

Her major areas of research interest include Vehicular Communication (V2X), Device-to-Device Communication, Energy-Efficient Resource Allocation, Deep Learning, Wireless Communication Systems, FPGA and VLSI Design, and Internet of Things (IoT). She is currently doing research on deep learning models for vehicular communication.

Ms. Rastogi has been involved in guiding undergraduate and postgraduate students for minor projects, major projects, and M.Tech theses in areas such as wireless communication, IoT, embedded systems, image processing, and machine learning-based applications. She has published research papers in international conferences and peer-reviewed journals, including publications indexed in IEEE Xplore and Scopus, and has received recognition for her research contributions.

She serves as the Tinkering & Mentoring Coordinator and In-house Internship Coordinator at GSFC University. She has also held various academic and administrative roles, including SSIP Coordinator, faculty coordinator for professional student chapters, departmental mentor coordinator, and class coordinator. Actively engaged in academic and research development, she has participated in faculty development programs, NPTEL certification courses, workshops, and international conferences, contributing significantly to institutional, academic, and research initiatives.

 

  • Ph.D. (2021–Present)
    Gujarat Technological University, Ahmedabad
    Thesis Title:
    Design of an Energy Efficient Deep Learning Based Resource Allocation Techniques for D2D-based Vehicular Communication

  • M.Tech (2014)
    NITTTR Chandigarh (Ministry of HRD, Govt. of India)
    Percentage: 76.6%
    Thesis Title:
    FPGA Based Design of an Optimized CTC Codec for Wireless Communication

  • B.Tech (2005)
    Uttar Pradesh Technical University, Lucknow
    Percentage: 78%

  • Vehicular Communication (V2X, D2D, LTE-V2X)

  • Energy-Efficient Resource Allocation

  • Deep Learning and Machine Learning Applications

  • Wireless Communication Systems

  • FPGA and VLSI Design

  • Internet of Things (IoT)

International Conferences

  • Design of an Energy Efficient Resource Allocation Techniques for D2D-based V2X Communication, PICET 2025 – 2nd Best Paper Award, IET Conference Proceedings (IEEE Xplore, Scopus).

  • Re-configurable Optimized Area CTC Codec for Wireless Applications, ICACCI-2014, IEEE Xplore, Scopus.

  • FPGA based Design of TBCC HARQ Encoder and Decoder for Wireless Communication, ICCNASP-2013.

Journals

  • Re-configurable Optimized Area Turbo Decoder for Wireless Applications, IOSR-JECE, 2014.

  • Area Efficient Turbo Encoder for Wireless Applications on FPGA, IJEC&CE, 2014.

  • Design and Simulation of Turbo Codec for Error Reduction Using MSOVA Algorithm, IJEC&CE, 2013.

  • FPGA Based Area Efficient Turbo Decoder for Wireless Communication, IJERA, 2013.

Assistant Professor, CSE, SOT, GSFC University, Vadodara (19 Nov 2025 – Present)

Visiting Professor, GSFC University, Vadodara (Oct 2022 – 18 Nov 2025)

Assistant Professor, Babaria Institute of Technology, Vadodara (Mar 2015 – May 2021)

Assistant Professor, Bharat Institute of Technology (Aug 2006 – Jun 2012)

Lecturer, Bhagwant Institute of Technology (Sep 2005 – Jul 2006)

  • Conducted tutorial session on Recent Trends in UWB and its Applications (International e-Conference, 2020).

  • Actively involved in research on energy-efficient vehicular communication using deep learning techniques.

  • Supervised and mentored undergraduate and postgraduate student projects in IoT, wireless communication, and embedded systems.

  • Tinkering & Mentoring Coordinator, SOT, GSFC

  • Inhouse Internship Coordinator, CSE, GSFC

  • 2nd Best Paper Award, PICET 2025 International Conference

  • Top 5% – Silver Medal, NPTEL (CMOS Digital VLSI Design)

  • Top 5% – Silver Medal, NPTEL (Software Defined Radio)

  • College Rank Holder (2nd Rank) in University Examination