PHD at IIT Roorkee, India
Dr. Anuradha Ravi is a Research Assistant Professor in the Information Systems Department at the University of Maryland Baltimore County. She specializes in distributed machine intelligence at the edge, low-power AI for IoT, and smart building management. Dr. Ravi earned her Ph.D. in Computer Science from IIT Roorkee, India, focusing on energy-efficient mobile cloud computing. Her professional journey includes research roles at Singapore Management University and academic positions at Shiv Nadar University. She has published extensively, supervised numerous research projects, and received accolades such as the SMU Research Excellence Award for her work on occupancy-aware energy utilization.
Professional Profiles
Education
Ph.D. in Computer Science Title: Energy Efficient Seamless Service Provisioning in Mobile Cloud Computing Indian Institute of Technology Roorkee, India (Jul 2011 – Dec 2015) Master in Computer Applications Coimbatore Institute of Technology, India (Jul 2005 – May 2008) B.S. in Computer Science PSG College, India (Jul 2002 – May 2005)
Research Experience
Research Assistant Professor Department of Information Systems, University of Maryland Baltimore County, USA (Mar 2023 – Current) Mentored graduate students on AI models for object identification using multimodal sensor data. Research Scientist (II) School of Computing and Information Systems, Singapore Management University, Singapore (Dec 2021 – Mar 2023) Projects on improving object detection in collaborative camera environments and fruit quality detection using RGB cameras and LiDAR. Research Scientist (I) Living Analytics Research Center, Singapore Management University, Singapore (Oct 2018 – Nov 2021) Led a project on AI-based air conditioning and lighting control for net-zero energy buildings using occupancy sensing. Assistant Professor Shiv Nadar University, India (Aug 2016 – Jul 2018) Supervised projects on cooperative strategies for IoT devices, intelligent edge devices, trust and privacy in mesh networks, and blockchain applications. Research Assistant Department of Computer Science and Engineering, Indian Institute of Technology Roorkee (Jul 2015 – Apr 2016) Worked on energy-efficient multimedia video streaming for mobile users in a cloud computing environment. Research Scholar Department of Computer Science and Engineering, Indian Institute of Technology Roorkee (Jul 2011 – Jul 2015) Focused on improving the energy efficiency of mobile devices using cloud computing.
Achievements
SMU Research Excellence Award for work on occupancy-aware energy utilization in a zero-energy building. Best Paper Award for “Mobility Managed Energy Efficient Android Mobile Devices using Cloud” at Techsym conference, IIT Kharagpur. Presented thesis at IEEE Cloud Computing Emerging Markets, Bangalore, India, October 2014. Received travel grants from Heritage Alumni Foundation (IIT Roorkee) and Microsoft Research for IEEE SOSE 2013 conference, San Francisco, USA. Fellowship from MHRD, Govt. of India, for pursuing Ph.D. at IIT Roorkee.
Research Focuse
Dr. Anuradha Ravi’s research focuses on enhancing energy efficiency and service availability for mobile devices through innovative cloud computing solutions. Her work includes developing handoff strategies for mobile cloud computing, optimizing mobile devices using cloudlets, and addressing challenges in indoor localization with server-side WiFi and camera sensing technologies. Dr. Ravi has contributed significantly to smart building management with occupancy-aware control systems. Her notable publications include studies on energy-efficient service provisioning, mobility-managed Android devices, and robust indoor localization methods. Her research bridges wireless communications, IoT, and sustainable computing, aiming to create efficient, scalable, and intelligent systems for real-world applications.
Publications
- OcAPO: Occupancy-Aware, PDC Control for Open-Plan, Shared Workspaces, Publication date: 2023.
- Robust, fine-grained occupancy estimation via combined camera & WiFi indoor localization, Publication date: 2020.
- Practical Server-side Indoor Localization: Tackling Cardinality & Outlier Challenges, Publication date: 2020.
- CS-light: camera sensing based occupancy-aware robust smart building lighting control, Publication date: 2021.
- Practical server-side WiFi-based indoor localization: Addressing cardinality & outlier challenges for improved occupancy estimation, Publication date: 2021.
- Resource Sharing For Energy Harvesting Based D2D Communication Underlaying Cellular network, Publication date: 2019.
- Mobile Computation Bursting: An application partitioning and offloading decision engine, Publication date: 2018.
- Energy-Service Trade-Off Model for Mobile Cloud Computing, Publication date: 2017.
- Handoff strategy for improving energy efficiency and cloud service availability for mobile devices, Publication date: 2015.
- Mobility managed energy efficient Android mobile devices using cloudlet, Publication date: 2014.
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