Mohammad Sarim

About

Mohammad Sarim received his PhD in Mechanical Engineering from University of Cincinnati in 2018. He is currently employed at APTIV with their autonomous driving team developing Advanced Driver Assistance Systems for automotive OEMs globally.

Employment

• Aptiv
  2018 - Present

Education

• University of Cincinnati PhD
  2015 - 2018
• Aligarh Muslim University M. Tech.
  2010 - 2012
• Aligarh Muslim University B. Tech.
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Distributed Detect-and-Avoid for Multiple Unmanned Aerial Vehicles in National Air Space
  Journal of Dynamic Systems, Measurement, and Control 2019 DOI: 10.1115/1.4043190
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• Distributed Bidding-Based Detect-and-Avoid for Multiple Unmanned Aerial Vehicles in National Airspace
  2019 International Conference on Unmanned Aircraft Systems (ICUAS) 2019 DOI: 10.1109/icuas.2019.8798215
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• Grey wolf optimization based sense and avoid algorithm in a Bayesian framework for multiple UAV path planning in an uncertain environment
  Aerospace Science and Technology 2018 DOI: 10.1016/j.ast.2018.02.031
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• Overview of Path Planning and Obstacle Avoidance Algorithms for UAVs: A Comparative Study
  Unmanned Systems 2018 DOI: 10.1142/s2301385018400022
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• Memristive device based learning for navigation in robots
  Bioinspiration & Biomimetics 2017 DOI: 10.1088/1748-3190/aa7eab
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• Neuromorphic device specifications for unsupervised learning in robots
  2017 IEEE National Aerospace and Electronics Conference (NAECON) 2017 DOI: 10.1109/naecon.2017.8268743
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• Solution of Traveling Salesman Problem with Hotel Selection in the framework of MILP-tropical optimization
  2016 American Control Conference (ACC) 2016 DOI: 10.1109/acc.2016.7526547
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• Ultra-low energy neuromorphic device based navigation approach for biomimetic robots
  2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS) 2016 DOI: 10.1109/naecon.2016.7856805
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• On the Effect of Different Splines on Way-Point Navigation of Quad-Copters
  Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Application… 2016 DOI: 10.1115/dscc2016-9896
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• Design, Fabrication and Control of a Tilt Rotor Quadcopter
  Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Pl… 2016 DOI: 10.1115/dscc2016-9929
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