مرکز نوآوری فناوری اطلاعات و ارتباطات
مسیرهای تحقیقاتی

مسیرهای تحقیقاتی کلی تیم پژوهش به شرح زیر تعیین شده‌اند. کلیه پژوهشگران تیم موطف به انتخاب یکی از این مسیرها به عنوان حوزه تحقیقاتی خود هستند:

الف) داده‌های حجیم

  • Big data analytics
  • Big data in Financial Systems: storage and analysis
  • Analysis of data streams
  • Analysis of online social networks
  • Machine learning techniques for big data analysis
  • Machine learning techniques for social network analysis
  • recommender systems
  • behavioral analysis
  • crowd sourcing
  • opinion formation
  • network control
  • observation
  • network sampling
  • multilayer/multiplex networks
  • trust in networks
  • system-level modeling
  • propagation phenomena

ب) خدمات ابری

  • Mass Data Transfer over Low Bandwidth Networks
  • CloudSecurity:Infrastructure LevelAttacks
  • Cloud Security: Platform Level Attacks
  • Cloud Security: Application Level Attacks
  • Cloud Scalability

ج) سیستم‌های ذخیره‌سازی

  • Memory architecture for big data
  • Benchmarking and I/O pattern in big data
  • Caching techniques in big data
  • Autonomic and self-managing techniques to deal with faults, errors, and failures
  • Operating-system level techniques to address long access latency to big data
  • Power management techniques in big data
  • Availability modeling of big data
  • Efficient redundancy techniques in big data
  • Implications of emerging hardware technologies such as non-volatile memory in big data
  • Low-cost storage architectures for big data
  • Low-power processing elements for big data
  • Scalable storage architecture for big data

د) ذخیره‌سازی داده‌های بزرگ و پردازش DNA

  • Tradeoffs between communication, computation and storage in Big Data
    • Analytic modeling of caching strategies in communication networks
    • Analysis of communication constraints on distributed computing
    • Spatio-temporal analysis of local and distributed caching mechanisms
    • Learning-based distributed storage based on traffic popularity distribution estimation
    • Distributed source coding for estimation and learning problems over communication networks
  • Big Data Storage and Processing of DNA and Micro Array information
    • Downstream-based (genetic/clinical level) analytic models for next generation sequencing (estimation and learning mechanisms)
    • Meta genomics, RNA-seq and multi-layer analysis of biological networks (from micro array and next generation sequencing data)
    • New sequencing platforms based on microfluidics ideas
    • Novel molecular/cellular communication mechanisms (optical, …)

ه) امنیت سخت‌افزاری

  • Security, reliability and trust in big data hardware
  • Homomorphic encryption (cloud computing)
  • Architecture for Security and Privacy in Big Data
  • Cryptanalysis, Lightweight Cryptographic Algorithms and Applications
  • Reliability and Availability in Big Data
  • Trust in Big Data
  • Security, Privacy, and Trust in Cloud
  • Security, Privacy, and Trust in Large Scale Systems
  • Tele-health security
  • Sensor network security
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