Mechanical Engineering co-major with Civil Engineering
Resume:
Arya Haghighat
515-***-**** ********@*******.*** in arya haghighat
EDUCATION Iowa State University Ames, Iowa
PH.D. in Mechanical Engineering co-majored with Civil Engineering, GPA: 3.92 2018-Present Dissertation: Applications of Deep Learning in Intelligent Transportation Systems Iowa State University Ames, Iowa
M.Sc. in Mechanical Engineering, GPA: 3.90 2016-2019 Dissertation: Droplet coalescence in an emulsion to support process scale up of a topical ointment Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran B.Sc. in Mechanical Engineering, GPA: 3.42 2009-2014 Dissertation: Dissertation: An Intelligent Cooling System and Control Model for Improved Engine Thermal Management PROFESSIONAL EXPERIENCE Iowa State University, Research Assistant August 2018-Present
Wrong Way Driving Detection in Existing CCTV Cameras (Iowa DOT-funded project)
• Developed and containerized two deep model pipelines (including DeepStream and YOLO+SORT) to detect and track of the vehicles in multiple CCTV camera streams on real-time basis
• Managed and distributed incoming stream data from detection model for more than 10 cameras using Kafka and Spark Streaming
• Trained an unsupervised model (combination of Gaussian Mixture Model and SVM) to recognize correct direction of each point of the road and detect bands of the road
• Trained a model to detect anomaly driving trajectories and wrong-way driving
Construction Equipment Detection in Work Zone
• Trained a deep model including SSD and Mobilenet for real-time object detection and classification in work zone
• Implemented TensorRT to optimize the model
• Tested different embedded systems, such as Jetson Tx2, Raspberry Pi 3B+ and intel NCS, for running the trained model and compared inference speed and accuracy on these systems
Maneuver detection in the roads by mounted cameras on vehicle using deep learning and inference at the edge
• Developed Nvidia DeepStream model to detect and track of vehicles in videos from mounted cameras on farm equipment
• Presented a distance estimation model based on the multi-view geometry principle
• Trained a machine learning model to classify status of following vehicles as back-off, following or proceeding
Low Quality Images enhancement to improve object detection in severe weather condition
• Produced large amount of driving data using an open source driving simulator (CARLA)
• Introduced normal noise with random STD to each clean image as representative of rain or snow
• Trained an Auto-encoder model to de-noise contaminated images to reproduce clean data Iowa State University, Research Assistant Jan 2016-May 2019
Shear-induced phase separation of the pharmaceutical ointment in Taylor-Couette reactor Page 2 of 2
Multiphase Flow Visualization in Taylor-Couette Bioreactor Irankhodro Engine Research Center (IPCO), R&D Researcher 2013-2015
Developed Intelligent Cooling System for the EF4 Engine SUMMARY OF SKILLS Programming, Frameworks and Engineering Software:
Highly skilled in PYTHON (Tensorflow, PyTorch, Pyspark, Keras, Scikit Learn, Pandas), Kafka, MATLAB, Solid Works, ImageJ. Experience working with C, FORTRAN, AWS, SQL, VISSIM, CARLA
Technical Qualifications:
Highly skilled in applied Deep Learning and Machine Learning PUBLICATIONS AND SEMINARS Journal Publications
“Applications of Deep Learning in Intelligent Transportation Systems” In Journal of Big Data Analytics in Transportation, 2020
“A deep-learning-based computer vision solution for construction vehicle detection” In Computer- Aided Civil and Infrastructure Engineering Journal, 2019
“Automating Wrong-Way Driving Detection Using Existing CCTV Cameras” Report to Iowa DOT, 2020
“An Intelligent Cooling System and Control Model for Improved Engine Thermal Management” In Applied Thermal Engineering Journal, 2018
“Experimental Investigation of the Effect of Ethyl Alcohol Surfactant on Oxygen Mass Transfer and Bubble Size Distribution in an Air-Water Multiphase Taylor-Couette Vortex Bioreactor” In Chemical Engineering Journal, 2017
“Droplet Coalescence and Phase Separation in a Topical Ointment: Effects of Fluid Shear and Temperature” In International Journal of Pharmaceutics, 2020
“Evolution of bubble size distribution, number density, and shape in semi batch vertical gas–liquid Taylor vortex flow” In AIChE Journal, 2020
Conferences
“Droplet-Coalescence Kinetics for a Non-Newtonian Emulsion Using a Taylor-Couette Shear-Flow Reactor: Characterizing Phase-Separation Risk for a Pharmaceutical Ointment”, In AICHE Annual Meeting, 2018
“Semi-Batch Liquid-Liquid Taylor Vortex Flow: Comparison of 3-D and 2-D Eulerian-Eulerian CFD Simulations and Experimental Measurements for Fluid Flow Patterns and Droplet Holdup”, In AICHE Annual Meeting, 2017
“Design and Modeling of an Intelligent Cooling System”, Seminar at Amirkabir University of Technology, 2014
HONORS AND AWARDS
Professional Advancement Grant (PAG) Award, Iowa State University, 2020
Best dissertation award, Amirkabir University of technology, Fall 2014
Ranked in the top 0.1 % at the nationwide entrance exam for undergraduate studies, 2009 SOCIAL AND VOLUNTEERING EXPERIENCES
Iranian Students and Scholars Association (ISSA), Social chair, 2016-2017
AUT International Robotics competition, Executive director of chemical car competition division, 2010
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