QInF 2017 US

2017 U.S. Program Details

We believe that research and development is the key to harnessing the power of imagination and to discovering new possibilities. We are excited to announce a new kind of Fellowship that promotes Qualcomm’s core values of innovation, execution and partnership. Our goal is to enable students to pursue their futuristic innovative ideas.

Participating Universities
Areas of Interest
Timeline

Qualcomm is inviting applications for the Qualcomm Innovation Fellowship 2017 from outstanding PhD students in the Electrical Engineering and Computer Science (and related) departments at:

  • California Institute of Technology
  • Carnegie Mellon University (CMU)
  • Columbia University
  • Cornell University
  • Georgia Institute of Technology
  • Massachusetts Institute of Technology (MIT)
  • Princeton University
  • Rutgers University
  • Stanford University
  • UC Berkeley (UCB)
  • UC Los Angeles (UCLA)
  • UC San Diego (UCSD)
  • University of Illinois at Urbana-Champaign (UIUC)
  • University of Maryland, College Park
  • University of Michigan
  • University of Southern California (USC)
  • University of Texas at Austin
  • University of Washington

We invite teams to submit proposals focusing on a number of specific areas within EE and CS (and related areas), which fall into the following broad categories. Note that while we solicit proposals for specific sub-areas, we also explicitly welcome other sub-areas that fit into these categories:

Mobile Applications, App Enablers and User Interfaces:

  • Intelligent transportation
  • Health care, drug and treatment
  • Big data visualization and management
  • Wearables, natural user interface, touchless interface
  • Personal clouds
  • Crowd sourcing
  • Biometrics and Mobile commerce
  • Cyber foraging, resource discovery
  • Mobile application construction, architecture and deployment
  • Shared experiences with multiple devices

Computer Vision and Machine Vision:

  • Full Skeleton (hands included) and Human body capture and tracking
  • Multimodal sensor fusion for precise 6DOF estimation
  • 3D perception, reconstruction and geometry interpretation
  • Scene understanding in images and videos using deep learning techniques
  • Light-fields capture, processing and compression

Software System Architecture:

  • Mobile Computing languages, compilers and tools
  • HW/SW co-design for heterogeneous systems, acceleration of deep learning based workloads, etc.
  • Parallel and heterogeneous programming: models, frameworks, runtimes
  • Innovations in configuration, testing, and deployment that streamline OS, compiler or driver development
  • Custom architectures, programming models and runtimes for autonomous drones and robots
  • Power efficient computing
  • Architectures, programming models and run-times for high performance mobile AR/VR, distributed and heterogeneous training of deep learning networks, execution of deep learning networks on mobile devices, etc.

Internet of Things:

  • IoT analytics
  • IoT middleware
  • Connected Home/ Smart Home
  • Wireless Docking
  • Heterogeneous Mesh Networks
  • Sensor networks
  • Automotive connectivity and infotainment
  • Smart Cities and Industrial Internet
  • Smart Energy/Smart Grid
  • Energy Harvesting
  • Innovations in configuration, testing, and deployment that streamline IoT development

Machine Learning:

  • Advances in understanding and optimization of deep learning architectures
  • Machine learning with memory / compute / data constraints
  • Representation learning, Transfer learning, Reinforcement learning
  • Innovations in configuration and deployment that further the advancement of learning platforms
  • Unique tools for visualization and testing neural networks

Mobile and Cloud Security and Privacy:

  • Malware Detection
  • New exploits and vulnerability mitigation on mobile devices
  • Behavioral analysis and machine learning for security
  • Program analysis for security including static, dynamic, concolic, etc.
  • Network Security for mobile devices and network appliance
  • IoT security
  • Mobile Privacy
  • Adversarial machine learning for security
  • Mitigations to cache side-channel and fault attacks in the cloud
  • Biometric and multi-factor authentication
  • Efficient implementation/acceleration of cryptographic primitives for mobile and cloud

Robotics and UAV:

  • Collision Avoidance
  • Path Planning
  • Collaborative positioning, planning, and task scheduling
  • Autonomous Systems
  • Indoor Navigation
  • Flight/drones
  • SLAM
  • Service Robots
  • Healthcare robots
  • Unique tools and virtual environments for visualization and testing robots

Processor Architecture and Implementation:

  • Low power server architectures
  • Low power multi-processor/multi-core designs
  • Cache, memory & interconnect subsystems for supporting above
  • HW/SW co-design for heterogeneous systems
  • Energy-efficient, high-performance micro-architecture & circuits
  • Dynamic reconfigurable micro-architecture
  • Emerging technology (e.g. STT-MRAM, PCM, near-and sub-threshold, etc.)
  • Resilient & fault-tolerant architecture & design
  • Alternative or optimized ISA’s for supporting (current & future) mobile use cases
  • Processor modeling & simulation for power, performance & area

Advanced Semiconductor Electronics, Devices and Materials Research:

  • Modeling and simulations of semiconductor devices
  • Monolayer electronics
  • Spintronics (novel devices and circuit design)
  • Emerging memory technology (cell design, process, memory architecture)
  • Flexible/printable electronics
  • Next generation 3DIC technology, design and automation
  • Thermal management (modeling, materials and innovative heat dissipation technologies)
  • Optical I/O and photonics
  • Implantable, eatable, injectable bio-electronics (bio-sensors, electroceuticals, diagnosis and drug delivery systems)
  • Portable DNA sensing/analytics
  • Quantum computing devices
  • MEMS sensors
  • New materials (multiferroics, metamaterials)

Advances in Communication Techniques & Theory:

  • Small cells
  • Interference Management among multiple base-stations
  • Proximal Communication among peer nodes
  • Multi-hop/Mesh networks
  • Network coding for wireless networks
  • Wide-area wireless networks using high-frequency spectrum
  • Wireless systems for unlicensed/shared spectrum
  • Dynamic wireless multicast
  • mm-wave techniques
  • Massive MIMO and network MIMO, Orthogonal and non-orthogonal waveform studies
  • Low Energy Networks (e.g., Bluetooth LE, 802.15.4, Zigbee, Wi-Fi)
  • Advancements in test bench development and test automation of Wi-Fi, RF and protocol stacks

RF-Related Topics:

  • Low-cost radio
  • RF MEMS
  • RF Applications for Graphene
  • Innovative PA Design
  • Adaptive RF Matching
  • Low power wake-up receiver architectures
  • mm-wave RF architectures
  • Antenna Design
  • Efficient transceivers across bands

Finalists’ announcements: February 15, 2017

Finalists’ presentations submission site opens: March 1, 2017

Finalists’ presentations submission deadline: March 22, 2017

Finalists’ presentations: April 5-6, 2017

Winners’ announcement: April 2017

QInF Winners’ Day: September 2017

Qualcomm Innovation Fellowship Finalists' Day

2016年5月27日

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