DEEPAK KUMAR

+1-646-***-**** adw3fk@r.postjobfree.com LinkedIn

EDUCATION

The City College of New York, CUNY August 2019- present Ph.D. in Structural Engineering Minors in Data Science & Machine Learning. Overall GPA: 3.4/4 Indian Institute of Technology (BHU) Varanasi, India July 2015- May 2019 B.Tech in Civil Engineering. Overall GPA: 8.43/10

Relevant Coursework: Introduction to Data Science, Deep Neural Networks & Application with TensorFlow, Machine Learning for Finance & Trading, Arti cial Intelligence for Engineering Applications, Machine Learning, Stochastic Process, Database Systems. TECHNICAL SKILLS AND INTERESTS

Languages Python, C, MATLAB, SQL.

Technologies TensorFlow, Keras, scikit-learn,NLTK, SciPy, spaCy, BeautifulSoup, pandas, Matplotlib, Docker, LATEX. Interests Data Science, Machine Learning, Computer Vision, Natural Language Processing and Time Series Analysis. RESEARCH EXPERIENCE

An Arti cial Intelligence (AI) Based Overheight Vehicle Warning System for Bridges Connected Cities with Smart (C2Smart) Transportation Center [Website] Role: Research Assistant [February 2022 - Present]

Developing a cost-e ective Vehicle Detection and Height estimation module using Deep Learning (Mask-RCNN) and Computer vision.

The module will be implemented on bridges for continuous monitoring & warning to prevent Bridge strike with overheight trucks.

Being cost-e ective, it can be easily installed on bridges and help saving huge maintenance cost for DOTs. AASHTO (American Association of State Highway and Transportation O cials) and NBI (National Bridge In- ventory) Element Deterioration Rates for Bridge Management System Connected Cities with Smart (C2Smart) Transportation Center [Website] Role: Research Assistant October 2020 - December 2022

Cleaned and modi ed the NBI database having about 20,000 bridge inspection records. Developed an executable desktop program in MATLAB AppDesigner for bridge deterioration modeling based on Weibull Analysis which outputs the required parameters for BrM AASHTOWare software . The program will assist NYSDOT in estimating annual maintenance budget. Smart Sounding System for Autonomous Evaluation of Concrete and Metallic Structures) INSPIRE-University Transportation Center (INSPIRE-UTC) [Website] Role: Research Assistant [October 2021 - December 2023]

Developed a smart sounding device for damage detection with advanced signal processing modules to lter signal noise (EMD) & perform damage classi cation in frequency domain (PSD, MHS).

The device is combined with tracking camera to automate the gridding process, saving hours and manual e orts. It was tested on concrete deck, and found to be e ective, fast in damage detection and accessible in higher elevation without risking safety. RELEVANT COURSE PROJECT

Medium-cap Crypto (Cardano) investment strategy: Used sentiment analysis(twitter, reddit, fear & greed index) along with OHLCV and technical indicators (moving averages, bollinger bands, relative strength index) as features to predict rise/drop in prices, & performed backtesting to test the strategy, didn't make money [PPT]

Severstal Steel Defect Detection (Kaggle): Perfomed defect detection using simple Convolution Neural Networks and transfer learning with ResNet model, & applied segmentation for defect regions in the image with Unet) [Github], PPT

: Used ML techniques (PCA, SVM) to perform the damage classi cation from Impact data, achieving accuracy upto 99%.[Report] PUBLICATIONS & PRESENTATIONS

Kumar, D. et al. (2022, June). Damage Detection in Concrete Slab Using Smart Sounding.[Conference Paper] at EWSHM.

Smart Sounding System for Autonomous Evaluation of Concrete Structures (Poster) [2021] at INSPIRE-UTC.

Quantitative Bridge Inspection Ratings using Autonomous Robotic Systems (Presentation) [2020] at INSPIRE-UTC MANAGEMENT & LEADERSHIP

Teaching Assistant (CCNY)

CE 435 [56 (Fall 2020), 25 (Fall 2021)] jj CE 440 [30 (Spring 2021), 25 (Spring 2022)] jj CE 401

Conducted lab sessions, assisted class with assignments, quizzes, projects [3D Bridge modeling, Finite Element Programming], and held o ce hours jj Conducted Boot-Camp (CE 401) to prepare for FE Exam to obtain E.I.T license exam preparation. Workshop

Conducted "Introduction to Deep Learning with MATLAB" workshop for high school students. Organized guest lectures & workshops for students at IIT (BHU), India. Volunteered at Art of Living Program for more than 250 students at IIT (BHU).