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Dr Sasireka.V

Assistant Professor (SL -12)

  • School/College

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

Dr. Sasireka.V has 16.8 years of academic teaching experience in the Computer Science and Engineering Department. Professional career reflects sustained involvement in engineering education, student mentoring, and academic development within the discipline of computer science.

Qualifications

  • PhD -CSE

    Anna university ,Chennai, 2025

  • M.Tech-CSE

    SRM university, Chennai, 2013

  • B.E-CSE

    Government College of Engineering, 2009

Experience

Total Years of Experience

16 Years/8Months

Academic Experience

16 Years/8months

  1. Annamalai University: 10 months 27days
  2. Arunai Engineering College : 1year 3months
  3. Arunai College of Engineering:3 years 10 months
  4. Arunai Engineering College:6 years 5 months
  5. Oxford College of Engineering :1year
  6. MS Engineering college:3 years 1 month 

  1. Mobile Social Media Networks
  2. Big Data Technologies
  3. Web Technology
  4. Data Mining
  5. Cloud-Based Data Applications
  6. Data Analytics and Data Analysis
  7. Object-Oriented Programming
  8. Web Programming
  9. Java Programming

  1. Emerging Sensing and Secure Computing in Mobile Crowd sensing System (Deep Science Publishing, 2025)

  1. Best Faculty awards 2012,2016

National Conference Papers
  1. Instructional Design and Delivery Systems – Government of India, Ministry of Human Resource Development (2013)
  2. Semantic Based Web Mining for E-Government Using Ontology (2012)
  3. Analysis and Detection of New Malware in Network Security (2013)
  4. Nearest Neighbor Queries in Location Aware Mobile Adhoc Networks (2015)
International Conference Papers
  1. Optimization Based Multi-Objective Framework in Mobile Social Networks for Crowd Sensing (Wireless Personal Communications)
  2. Hybrid Optimized Task Scheduling with Multi-Objective Framework for Crowd Sensing in Mobile Social Networks (Peer-to-Peer Networking and Applications)
  3. Descriptive Study and Analysis of Crowd Sourcing Techniques in Mobile Social Media Networks (IEEE)
  4. A Multi-Task Allocation Based Time Optimization Framework Using Social Networks in Mobile Crowd Sensing (Scopus Indexed)
  5. Certificate of Participation: Understanding Research Metrics – Essential Tools for Academic Excellence (Springer Nature, Organized for ONOS Member Institutions)
  6. SPS SLTC/AASP Technical Committee Webinar: “Neural Acoustic Feedback Cancellation: From Signal Processing to Deep Learning” (IEEE Signal Processing Society, United States)
  7. IoT-Based Manhole Detection and Monitoring System for Urban Safety (2025)
Ongoing:
  1. Machine Learning-Based Task Assignment and Trust Evaluation in Mobile Crowd Sensing (Scopus Indexed)
  2. BDRL-MCS: Blockchain-Enabled Deep Reinforcement Learning–Based Multi-Task Allocation and Decision in Mobile Crowd Sensing (Computer Networks)

  1. Computer society of India, Indian society for technical education(life member)

Applications Open for 2026

ADDRESS

Vidya Soudha (Heritage Block)

M. S. Ramaiah University of Applied Sciences,

Gnanagangothri Campus

New BEL Road

MSR Nagar, Bangalore - 560054