Sri Shreehari H. S.

Shreehari H. S.

M.S., Bremen University of Applied Sciences, Germany
Assistant Professor

Shreehari H. S.

M.S., Bremen University of Applied Sciences, Germany
shreehari.hs@chanakyauniversity.edu.in
Satellite Communication, Signal Processing, Image Processing & Computer Vision

My primary research interest is in satellite communication systems and intelligent signal processing for space applications. The democratization of space access through CubeSats and small satellite initiatives is creating unprecedented opportunities for Earth observation and global connectivity, yet the severe resource constraints—limited power, computation, and size—make designing efficient and robust systems highly challenging. Failures in these systems compromise mission objectives and waste significant investments. How to optimize antenna systems and signal processing algorithms within the tight constraints of nanosatellites, and how machine learning can enhance on-board processing and data extraction are the central questions driving my research.

My work focuses on three interconnected areas: advanced antenna design for multi-band satellite communications, Direction of Arrival estimation algorithms for smart antenna systems, and machine learning techniques for satellite image processing. Through leading the ChanakyaSAT CubeSat mission and Amateur Radio Payload development, combined with hands-on ground station design at the Dhritvan Space Lab, I have gained substantial experience translating communication theory into functional space hardware. My Master’s research on high-resolution DOA estimation algorithms—comparing Root-MUSIC, Deterministic Maximum Likelihood, and Weighted Subspace Fitting—demonstrated how algorithm selection under varying signal-to-noise conditions directly impacts communication link reliability.

Investigating how machine learning can process satellite imagery efficiently within space hardware constraints is another key focus. As satellites increasingly incorporate on-board processing to address bandwidth limitations, developing computationally efficient models becomes essential. I employ a combination of theoretical analysis, simulation, and practical hardware implementation, allowing systematic exploration of design parameters while ensuring real-world applicability. This research ultimately advances global connectivity and space technology accessibility while inspiring the next generation of space engineers.

Shreehari H S is currently serving as Assistant Professor at Chanakya University since 2024, where he leads pioneering satellite communication research and CubeSat development initiatives. He is interested in antenna design for small satellites, Direction of Arrival estimation algorithms, and machine learning applications for space-based image processing.

He completed his master’s degree in Commuincation Engineering from Bremen University of Applied Sciences, Germany, where his thesis focused on comparative analysis of high-resolution Direction-of-Arrival estimation techniques.
His work bridges theoretical signal processing with practical space hardware implementation through projects such as ChanakyaSAT – a CubeSat mission for advanced Earth observation and the Amateur Radio Payload for PSLV C60 POEM4.

At SJC Institute of Technology, Shreehari established the Dhritvan Space Lab, a dedicated satellite ground station equipped with multiple antenna configurations for research in space communication technologies. He has mentored numerous undergraduate students in satellite technology, antenna design, and embedded systems, fostering cross-disciplinary collaboration through departmental workshops and knowledge-sharing sessions.

  • Master Of Science, 2022, Bremen University of Applied Sciences, Germany
  • B.E. Electronics and Communication Engineering, 2017, SJC Institute of Technology, Visvesvaraya Technological University, Karnataka.

  1. S. H. Sreedhara, V. Kumar, and S. Salma, “Efficient Big Data Clustering Using Adhoc Fuzzy C Means and Auto-Encoder CNN,” in Inventive Computation and Information Technologies, S. Smys, K. A. Kamel, and R. Palanisamy, Eds. Lecture Notes in Networks and Systems, vol. 563. Singapore: Springer, 2023.
    doi: https://doi.org/10.1007/978-981-19-7402-1_25
  2. S. Bhaskar, H. S. Shreehari, and B. N. Shobha, “Trust Aware Distributed Protocol for Malicious Node Detection in IoT-WSN,” in Data Intelligence and Cognitive Informatics (ICDICI 2023), Springer, 2024.
    doi: https://doi.org/10.1007/978-981-99-7962-2_38
  3. H. S. Shreehari, S. Vinolya, and S. Varshitha, “Smart Attendance System Based on Biometrics and Location’s Boundary Conditions,” International Journal of Engineering Research and Technology (IJERT), vol. 10, no. 11, pp. 112–115, Aug. 2022, ISSN: 2278-0181.
  4. H. S. Shreehari, N. Vinay, V. N. Sumanth, and M. A. Pasha, “Project TVISHA: An Automatic Corridor Light Control System,” International Journal of Engineering Research and Technology (IJERT), vol. 10, no. 11, pp. 581–584, Aug. 2022, ISSN: 2278-0181.

Project 1:

  • Title: BGS ARPIT (Amateur Radio Payload for Information Transmission)
  • Duration: Jan 2023 – Dec 2024
  • Granting Agency – SJC Institute of Technology
  • PIs/Co PIs: Shreehari H S
  • Purpose: To design and launch a space worthy communication payload.
  • Short Description: BGS ARPIT is a multimode transmitter capable of sending pre-recorded voice messages, Slow Scan Television (SSTV) images, and payload telemetry using the APRS packet protocol. It also offers two-way APRS services, enhancing global amateur radio connectivity. Its innovative design includes audio, text, and image transmission capabilities using FM modulation in the VHF band.
  • Status: Completed
  • Grant Amount: 30 lakhs

Accomplishments

  • Invited as Resource Person to conduct 2 days FDP at VTU on Construction of a Remote Satellite Ground Station
  • Invited to Visvesvaraya Technological University 4 times as Technical Expert to deliver lectures on IOT and PCB Design
  • Delivered lectures on SWOT Analysis and Chandrayaan 3 program as In-house Expert
  • for lecture series conducted at SJCIT
  • Honoured by BGS Group of Institutions for delivering talks and motivating students to take part in Indian Space Programs.

Memberships

  • Member – IETE (Institution of Electronics and Telecommunication Engineers)
  • Member – Space Generative Advisory Council

Certifications

  • Recent Trends in MEMS Technology
  • Electromagnetic Simulation using ANSYS
  • Image Processing using MATLAB
  • Deep Learning using MATLAB
  • Ethical Artificial Intelligence
  • NPTEL Elite Certificate on Principles of Modern Wireless Communication

Honors and Awards

  • Won the “Best Innovative paper” for the academic project in IET-17, a National Level Paper Presentation contest held on 18 March 2017 at S J C Institute of Technology.
  • Won the Second Prize in the “JVTM”- State-level project exhibition held on 21 February 2017 at Adichunchanagiri, Karnataka.
  • Won the First Prize in “SHRISTI”- State-level Paper presentation competition at CMRIT, Bengaluru-2016
  • Won the First Prize in DEBATE and EXTEMPORE competition conducted during the college fest “SAMBRAMA 2016”.

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