QIF 2019 India

2019 India Program Details

Qualcomm Technologies, Inc. proudly announces the launch of Qualcomm Innovation Fellowship 2019-2020 program for selected Indian universities. Each winning team (up to 2 students and sponsoring faculty advisor(s)) will receive a financial award for the academic year 2019-20, plus assignment of a Qualcomm researcher(s) as a mentor to facilitate close interaction with Qualcomm Research.

The Program is sponsored by Qualcomm Technologies, Inc. headquartered at 5775 Morehouse Drive, San Diego, CA 92121 (“Sponsor”).

Finalist instructions (including information on the finalist event/presentation) will be made available shortly on the website.

Qualcomm Research is a division of Qualcomm Technologies, Inc.

Finalist Selections
Application Process
Participating Universities
Areas of Interest
2018 Winners

Innovation Title




A multichannel signal acquisition technique for adventitious lung sound localization

Karthik Girija Ramesan

Prasanta Kumar Ghosh

IISc – Bangalore

Agile Anti-Malware Tool using Low-level Hardware Events oriented towards Embedded Environments

Manaar Alam

Debdeep Mukhopadhyay

IIT – Kharagpur

Bayesian Models for Domain Adaptation

Vinod Kumar Kurmi

Vinay P Namboodiri

IIT – Kanpur

Blind objective video quality assessment

Sathya Veera Reddy Dendi, Parimala Kancharla

Sumohana S. Channappayya

IIT – Hyderabad

Codes for Distributed Computing and Sharding

Divija Swetha Gadiraju

Lalitha Vadlamani

IIIT – Hyderabad

Concurrent Spectrum Sharing and Optimal Transmission Techniques for Next Generation Wireless Systems

Sarvendranath Rimalapudi

Neelesh B Mehta

IISc – Bangalore

Data-driven Inverse Models for Vehicular Traffic

Helen Thomas, Rito Brata Nath

Tarun Rambha

IISc – Bangalore

Designing Co-adaptive AI Agents for Communication-restricted Environments

Kiruthika Kannan, Nikhil Bansal

Ravi Kiran Sarvadevabhatla, Naresh Manwani

IIIT – Hyderabad

ELeGANt: Euler-Lagrange Constrained Generative Adversarial Networks

Siddarth Asokan

Chandra Sekhar Seelamantula

IISc - Bangalore

Flit-Level Reordering for Reducing Processor Stall

Abhijit Das

John Jose

IIT – Guwahati

Generation of Artificial Visual Scanpath for Action Recognition in Still Images

Ashish Verma, Debanjan Sengupta

Debashis Sen

IIT – Kharagpur

Hardware Software Co-design for Safe and Efficient Inference on the Edge

Vinod Ganesan, Surya Selvam

Pratyush Kumar

IIT – Madras

Human Sensing from Monocular Videos

Rishabh Dabral

Arjun Jain

IIT – Bombay

HYPERFUZZING for SoC Security Validation

Sujit Muduli

Pramod Subramanyan

IIT – Kanpur

Image compression for user generated content using no-reference image quality assessment

Deepa T M

Rajiv Soundararajan

IISc – Bangalore

Intelligent and Adaptive HARQ in Next Generation Wi-Fi Systems

Romil Sonigra, Shishir G

David Koilpillai, Nambi Seshadri

IIT – Madras

Intelligent Integration of On-Chip Machine Learning Accelerators in Multiprocessor SoCs

Ayushi Agarwal

Preeti Ranjan Panda

IIT – Delhi

Learning beyond bag of local features: Shape Reasoning Networks for Object Modeling

Deepak Babu Sam

R Venkatesh Babu

IISc – Bangalore

Learning Perception-Aware Distance Metrics for Multi-Modal Data

Priyadarshini Kumari

Subhasis Chaudhuri

IIT – Bombay

MAC layer methods for low-latency handover and blockage-mitigation in mmWave indoor networks

Arijit Bhattacharjee

Sanjay Kumar Bose, Ratnajit Bhattacharjee

IIT – Guwahati

Mobile Network Traffic Modeling with Temporal Point Processes

Avirup Saha, Santosh Tokala Yaswanth Sri Sai

Niloy Ganguly

IIT – Kharagpur

Molecular Schemes for Information Processing and Communication

Abhishek Behera

Manoj Gopalkrishnan

IIT – Bombay

One-bit Distributed Decision Fusion in 5G Massive MIMO-based Wireless Sensor Networks (WSNs)

Apoorva Chawla

Aditya K. Jagannatham

IIT – Kanpur

On spot soil sensor using MoS2 ISFET

Pramod Kumar, Kaustubh Nayyar

Sanjeev Manhas

IIT – Roorkee

Random Access Schemes for Massive Machine Type Communications

Chirag Ramesh

Chandra R. Murthy

IISc – Bangalore

Self-supervised Learning of Human Motion Representation for In-the-wild Videos

Jogendra Nath Kundu

R Venkatesh Babu

IISc – Bangalore

Streaming Codes for Low-Latency Communication

Myna Vajha, Nikhil Krishnan Muralee Krishnan

P Vijay Kumar

IISc – Bangalore

Towards Secured Hardware Design using Approximate Computing

Avishek Sinha Roy, Rajit Karmakar

Santanu Chattopadhyay, Anindya Sundar Dhar

IIT – Kharagpur

Submissions will be open from January 15, 2019. Template is provided on this website for proposal submission by the teams. The submission deadline has been extended to March 13, 2019 (23:59h India time).

The team can be comprised of up to 2 students, wherein at least one student member of the team has to be enrolled as a Masters (MS / M.Tech.), Dual degree (B.Tech + M.Tech/MS) or PhD student in the Electrical Engineering or Computer Science department (or related department) for the entire 2019-2020 academic year. In case of dual degree, the student should have completed his/her bachelor’s degree requirements by the end of 2018-2019 academic year. A second student team member is optional and may even be a final year under-graduate. Each student on a team is an “Entrant” and needs to be enrolled as a full-time student in one of the participating institutes. Also, each team must have one or more faculty advisors supporting the proposal and all the team members, and the faculty advisor(s) should be from the same institute. The Masters or PhD entrants from each team may elect to choose ideas from their ongoing or planned research and/or thesis projects in accordance with their university policies.

Each team shall submit an innovation proposal (download the template) that must include the following:

  • Three page innovation proposal (plus optional page for bibliography/references)
    • Introduction and problem definition
    • Innovation proposal and relation to the state of the art
    • The one-year horizon of the project, even if the proposal is a multi-year project
  • Letter from one or more faculty members recommending the innovation including:
    • Why the proposal is innovative
    • Why the proposal is important
    • Why the current team is likely to succeed in their proposal
  • Each student's Curriculum Vitae
  • Signed agreement form by the team members (acknowledging the official rules of Qualcomm Innovation Fellowship program in India). Download the official rules, and sign at the marked location in the rules document thus agreeing to the competition rules.


See FAQs for more details.


Winners will be selected through a multi-phase process:

  1. Idea selection for presentation: Applications must be submitted online by the specified deadline (see Timeline tab). All proposals will be reviewed internally by a team of Qualcomm researchers. A subset of teams will be selected as Program Finalists and notified according to the timelines mentioned in the Timelines tab of this website. Selected (“finalist”) teams will be invited to a Sponsor facility to make a presentation of the research proposal described in their Application to a judging panel.
  2. Final proposals selection: Each selected (“finalist”) team must prepare a 20-minute presentation for the judges. Presentations must be in PowerPoint or PDF format. Templates for this presentation will be provided. The presentation generally includes:
    • The proposal idea
    • The differentiating factors from state of the art
    • The execution plan / strength of the team

Up to eight winning teams will be chosen from this pool of selected teams after they present to the judging panel.

The winning teams will be invited to a Sponsor facility (within couple of weeks of winner announcement) for presenting the proposal details.

All QIF-related information will be announced on this webpage. Please check back regularly for updates.


Faculty & Mentor

In addition to the faculty advisor(s) guiding the fellowship research, Qualcomm Technologies, Inc. will help with assigning mentor(s) to facilitate periodic interaction opportunities with Qualcomm Research.


Funding Renewal Opportunity

The QIF India 2019 winning proposals will be re-evaluated in April 2020 in the form of a project presentation, with up to one team being granted a funding renewal from Qualcomm Technologies, Inc.

Qualcomm Research is a division of Qualcomm Technologies, Inc.


More Info?

Do you need further information? Please direct your questions to: innovation.fellowship.india@qualcomm.com

Qualcomm Technologies, Inc. is inviting applications for the Qualcomm Innovation Fellowship India 2019 from undergraduate and postgraduate students in the Electrical Engineering and Computer Science (and related) departments at:

  • Indian Institute of Science, Bangalore
  • Indian Institute of Technology, BHU
  • Indian Institute of Technology, Bombay
  • Indian Institute of Technology, Delhi
  • Indian Institute of Technology, Guwahati
  • Indian Institute of Technology, Hyderabad
  • Indian Institute of Technology, Kanpur
  • Indian Institute of Technology, Kharagpur
  • Indian Institute of Technology, Madras
  • Indian Institute of Technology, Roorkee
  • International Institute of Information Technology, Hyderabad

We invite teams to submit proposals focusing on following technology domains within Electrical Engineering and Computer Science (and related areas).

Advances in Communication Techniques & Theory

  • Ultra reliable and low latency communications
  • Wide-area wireless networks using high-frequency and mmWave spectrum
  • Massive MIMO, network MIMO, and coordinated multipoint processing
  • Wireless systems for unlicensed/shared spectrum
  • Low energy networks (Bluetooth LE, 802.15.4, Zigbee, Wi-Fi, etc.)
  • Advanced low power HW/FW/SW modem implementation approaches

Autonomous Driving

  • Advanced sensors and sensor fusion
  • Imaging radar
  • Computer vision for autonomy
  • Sensor fusion with deep learning
  • Behavior planning with uncertainty

Machine Learning

  • Natural language processing
  • Computer vision
  • Reinforcement and Continual learning
  • On-device training
  • Intermediate representation for machine learning workloads/compilers
  • Transfer learning and Knowledge distillation
  • Novel compute architectures for ML tasks, e.g. in-memory compute, analog compute
  • Extreme energy efficient inference hardware accelerators for ML loads and lower complexity algorithms and convolutional nets
  • Generic Attribution methods for deriving non NN-based solutions and NN simplification

Secure System Design

  • Isolation technologies: Virtualization, enclaves, and software sandboxing
  • Key management for IoT: Establishing trust between embedded devices
  • Machine learning model security: DRM for learning models
  • Protocol security: Analysis and verification of communication protocols
  • SoC security: Security of heterogeneous systems on chip
  • Software-based exploitation of hardware vulnerabilities: Micro-architectural attacks, side-channels, and associated countermeasures
  • User authentication: Biometric and behavioral authentication of users by mobile and embedded devices
  • Vulnerability detection: New tools and techniques for finding exploitable vulnerabilities in C software, with a focus on embedded systems
  • Cryptography: Resistance to side channel attacks; Compute efficient software implementation of ECC schemes, post quantum signature schemes

Multimedia Computing

  • Real Time 3D perception, mapping, reconstruction, and geometry interpretation
  • Eye-tracking devices and algorithms
  • Hand skeleton and multimodal human body pose estimation and tracking
  • Low power/complexity rendering systems
  • Lighting/illumination modelling
  • Multi-focal, near eye displays
  • High efficiency video coding techniques
  • Deep learning based image and video compression (intra and inter prediction, in-loop filters, transforms, entropy coding)
  • Deep learning based optimized video encoding
  • Perceptually optimized video coding
  • Image and video quality assessment
  • 6DoF video compression, Point Cloud compression

Advanced Semiconductor Electronics

  • Ultra-low (uW) power embedded platform for edge computing (ULP architectures and designs, HW accelerators, power generation and management, novel memories, security)
  • Novel materials and heterogeneous integration (2D semiconductors, GaAs, GaN, etc.)
  • CMOS package integration (thermal-aware designs or circuits, advanced packaging techniques, antenna-in-package etc.)
  • RF / analog ASICs and architectures (Sub-6GHz 5G power amplifiers, mmWave RFIC and Data Converters for 5G NR, adaptive RF signal processing algorithms, etc.)
  • Advanced antenna (millimeter-wave and phase-array antennas), novel antenna materials, structures and implementations
  • Power Management ASICs (wide bandwidth SMPS, wide bandwidth envelop tracker, embedded regulation)

Processor Architecture and Implementation

  • Novel processor architectures, microarchitectures, extensions, and accelerators
  • Multimedia and gaming architectures (not limited to GPU, GPGPU, VLIW, DSP, etc.)
  • Novel architectures for artificial intelligence, edge training and inference
  • Security features of CPUs and accelerators at the instruction set, memory system, and SOC levels

Semiconductor Test, Quality and Yield Learning

  • Defect-oriented testing and fault modeling in deep sub-micron process nodes
  • Applications of Data Analytics, Machine Learning and AI in Test
  • Test Challenges for 2.5D/3D Systems in Packages
  • Call for Proposal opens: January 15, 2019
  • Proposal submission deadline: March 13, 2019 (23:59h India time)
  • Proposal presentation by selected ideas (Venue: TBA): First half of May, 2019
  • Winning team announcements: Second half of May, 2019
  • QIF India Day: June, 2019
  • Project presentations (Venue: TBA): April 2020
  • Funding renewal announcement: May 2020

Dates subject to change

Dear QInF 2018 finalist teams,

Thank you for a truly inspiring set of presentations during the finals event earlier this week. The excellent work by the twenty finalist teams made it very hard for the committee to determine the winners. The original plan was to select seven winning teams. However, given the very high quality of the submissions, the committee decided to select eight winning teams for QInF India 2018 and are as listed below. Congratulations!

Innovation Title Student(s) Recommendor(s) University
Battle of Bandits Aadirupa Saha Aditya Gopalan IISc - Bangalore
Feedback Overhead Reduction in 5G using Base Station-Side Estimation Vineeth Kumar Vimal Kumar Neelesh B. Mehta IISc - Bangalore
Intelligent ADAS Task Management on Heterogeneous Automotive Architectures Anirban Ghose, Srijeeta Maity Soumyajit Dey, Pabitra Maitra IIT - Kharagpur
Non Contact CardioPulmonary Assessment in the wild using imaging techniques Prashant Pandey, Varun Srivastava AP Prathosh IIT - Delhi
Quantum Theoretic Codes for the Cell Discovery Problem in mm Wave Communication Systems Manoj A, Rashmi P Arun Pachai Kannu IIT - Madras
Sparse Signal Processing for 5G mmWave Hybrid MIMO Technology Suraj Srivastava, Saumya Dwivedi Aditya K. Jagannatham IIT - Kanpur
Textured Non-rigid 3D Reconstruction in a calibration free environment Abbhinav Venkat, Sai Sagar Jinka Avinash Sharma IIIT - Hyderabad
Underwater Image Processing: Point Tracking, Motion Segmentation, Restoration Jerin Geo James Ajit Rajwade IIT - Bombay

Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past: