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About
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dr. malika meghjani
Assistant Professor @ SUTD

Computer Science and Design (CSD)
Singapore University of Technology and Design (SUTD)
 

 

Address: 8 Somapah Rd, Singapore 487372 
Phone: +65 6499 7166 

Emailmalika_meghjani AT sutd DOT edu DOT sg

Faculty Member, Temasek Labs, SUTD

Collaborating Faculty, Future Urban Mobility,

Singapore-MIT Alliance for Research and Technology (SMART)

Advisory Board member, Women in Robotics

Academic Board Advisor, AI Business School 

Faculty advisor, Society of Women Engineers (SWE), SUTD

Mentor, Computer Hardware, LeanIn Singapore

research interest

Mobile Robotics
Multi-Robot Coordination
Planning under Uncertainty
Artificial Intelligence
Machine Learning
Computer Vision
Algorithm Design
Image & Signal Processing
Search and Rescue
Multi-Agent Rendezvous
Fleet Sizing & Management
Context-Aware Robots
Autonomous Vehicles
Field Robotics
Unmanned Ground Vehicle (UGV)
Self Driving Cars
Autonomous Mobility-on-Demand (AMOD)
Marine Robotics
Autonomous Surface Vehicle (ASV)
Autonomous Underwater Vehicle (AUV)
Coral Reef Monitoring

BIOGRAPHY

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Dr. Malika Meghjani is an Assistant Professor in the Computer Science and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robot Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments. 

Malika has been cited by Analytics Insight in 2020 as one of the World's 50 Most Renowned Women in Robotics. She is also 2017 SMART Postdoctoral Scholar, 2015 McGill Scarlet Key recipient, 2013 IEEE Canada Women in Engineering Prize awardee and 2013 Google Anita Borg Scholar. 

 

Academic Qualifications 

Ph.D., Computer Science,
McGill University, Canada 

 

M.Eng., Electrical and Computer Engineering,
McGill University, Canada

B.Eng., Electronics and Communication Engineering,

Osmania University, India

Awards & Accolades

 

World’s 50 Most Renowned Women in Robotics,
Analytics Insight, 2020. 

30 Women in Robotics you need to know,
Robohub, 2019. 

Scholarship for Postdoctoral Research,
Singapore-MIT Alliance for Research and Technology (SMART) Singapore,
Feb. 2017 – Feb. 2019. 

Strategic Network Enhancement Initiative Award 

Best robotics start-up proposal and bootstrap funding,
NSERC Canadian Field Robotics Network, Kelowna, Canada,
Jun. 2015 – May 2016. 

McGill Scarlet Key Award 
Leadership and community service
Scarlet Key Pinning Ceremony, McGill University, Canada,

Mar. 2015. 

AAAI Robotics Fellowship at the AAAI conference,
Texas, USA,
Jan. 2015. 

IEEE Canada Women in Engineering Prize 
Academic excellence and contributions to IEEE women in engineering programme,

Nov. 2013. 

Google Anita Borg Scholar and Finalist 
Leadership and academic excellence at the Google Scholars’ Retreat,

Jul. 2013 and 2012. 

Service

  • Associate Editor for Multiple and Distributed Systems, IEEE Robotics and Automation Letters, 2020-present.

  • Publicity Chair for Advanced Robotics and its Social Impact (ARSO), 2022.

  • Co-Chair for IEEE International Conference for Autonomous Systems (ICAS), Special Sessions, 2021.

  • Associate Editor for IEEE/RSJ IROS 2019 and IROS 2020. 

  • Committee member Robotics Track Programme for AAMAS 2019. 

  • Co-Chair for IEEE ICRA Social Media, 2017 and 2019. 

  • Co-Chair for Singapore Autonomous Underwater Vehicle Challenge (SAUVC) Publicity, 2019.

  • Co-Chair for IEEE ICRA Workshop on Robotics and Vehicular Technologies for Self-driving cars. 

  • Founder and Chapter Chair at IEEE Montreal Robotics and Automation Chapter, 2012-2015. 

  • Vice Chair at McGill IEEE Student Branch, 2011-2012. 

  • Lead at McGill Robotics Summer Camp for High School Students, 2011-2014. 

Personal Biography
Academic Qualificatons
Awards & Accolades
Service
Biography
Research Publications
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unmanned

ground vehicles

  • Autonomous Urban Driving

  • Multi-Class mobility on demand

Marvl AUV

Marine robotics

  • Search and Monitoring

  • Surface and Underwater Vehicles

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aerial ROBOTICS

  • Human-Robot Teaming

  • Multi-Target Pursuit Evasion

RESEARCH PROJECTS & Publications

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MARVL

MULTI-AGENT ROBOT
VISION & LEARNING LAB

THIS IS A GREAT PLACE FOR YOUR TAGLINE.

Multi-Agent Robot Vision and Learning (MARVL) Lab focuses on research in mobile robotics,  multi-robot coordination, planning, scheduling, computer vision and machine learning.

 

The applications of  our research are in field robotics specifically with marine, ground and aerial robots working with humans.  

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MARVL