Faculty details

Prof.Jaishree Mayank

Designation: Assistant Professor

Department: Computer Science and Engineering

Email: jaishreem[at]iitism[dot]ac[dot]in

Contact Number:

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Research Interest: Optimization Strategies in Real-Time Cyber Physical Systems, AI Strategies for In-Vehicle System Performance, Time Sensitive Networking and its Application in Software Defined Vehicles: Protocols, Scheduling and Performance Guarantees, Path Planning for Autonomous Vehicles using AI techniques

Teaching

CS203- Computer Organization

NCSC203-Computer Organization and Architecture

NCSC208-Operating Systems

NCSC210-Operating Systemm Laboratory

Academics

Ph.D. May 2020, Department of Computer Science and Engineering, Indian Institute of Technology Patna, India.

Position

Assistant Professor-I  May 2025 – Present, Dept. of Computer Science and Engineering, IIT (ISM) Dhanbad, Jharkhand, India.
Assistant Professor-II

March 2022 – April 2025, Dept. of Computer Science and Engineering, IIITDM Kancheepuram, Chennai, Tamil Nadu, India.

Assistant Professor-II

February 2021 –  February 2022, Dept. of Computer Science and Engineering, IIIT Vadodara, Gandhinagar, Gujarat, India.

 

Research Associate   June 2020 –  February 2021, Dept. of Computer Science and Engineering, IIT Kharagpur, West Bengal,  India.

Awards and Honors

Publications

Projects & Activities

Sponsored Research Projects (External Funded)

Ongoing Projects

1. Advanced Research Grant- (ANRF, 2026-2029), Amount-1.68 Crores.

2. Faculty Research Scheme (FRS)- Funded by IIT(ISM) dhanbad (2026-2028), Amount- 19 Lakhs.


 

Membership of Scientific Societies

1. IEEE Member

2. VTC Member

Other Academic and Administrative Activities

Special Grant to Establish Advanced Lab

SYNC Lab-SYstems and Networked Cyber-physical computing

Amount- 30 Lakhs, Funded by IIT(ISM) Dhanbad

The laboratory will provide a platform for research and practical learning in real-time communication, embedded systems, and intelligent networking. It will support emerging applications such as autonomous vehicles, industrial automation, robotics, smart manufacturing, avionics, UAVs, and defense systems. The facility will be equipped with TSN-enabled networking infrastructure, embedded computing platforms, sensors, actuators, and tools for traffic monitoring and timing analysis.

Guidance

Ph.D. Students (Ongoing)

1. Swathigavaishnavi – Supervisor

2. Bhubneshwari – Co-Supervisor