Gaurav Mishra

MASTER OF SCiENCE · NORTHEASTERN UNiVERSiTY

Boston, Massachusetts

+1-857-***-**** adjp64@r.postjobfree.com mishragauravgm ingauravmishra Gaurav Mishra Education

Northeastern University Boston, MA, USA

M.S. iN COMPUTER ENGiNEERiNG(MSECE) Sep. 2020 May. 2022

• GPA:4/4. Specialization in Computer Vision, Machine Learning and Algorithms.

• Coursework: ML and Pattern Recognition, Advanced Computer Vision, Advances in Deep Learning, Foundations of AI

• TA for: Embedded Robotics(Fall 2020), Noise and Stochastic Processes(Spring 2021) Shiv Nadar University Greater Noida, India

B.TECH. iN ELECTRONiCS AND COMMUNiCATiON ENGiNEERiNG Aug. 2015 May. 2019

• GPA: 8.5/10. Graduated with distinction. Was awarded $10000 tuition fee scholarship and multiple teaching assistantships.

• TAed on multiple occasions for Graduate Mathematics, Physics, Embedded Systems Work Experience

Center for Visual Information Technology, IIIT Hyderabad, India RESEARCH INTERN(DEEP LEARNiNG) Jan. 2020 June 2020

• Worked under the supervisionof Professor Jayanthi Sivaswamy on problems related to Explainability when AI is applied to medical diagnoses.

• Used weakly supervised deep learning(segmentation) to provide explanations of the classification made in multiple medical diagnoses sce narios

• These projects were implemented on a real clinical dataset. Used Machine Learning, Computer Vision, Data preprocessing(OpenCV) in Python on frameworks such as Tensorflow, Keras, Pandas, Numpy, Seaborn, etc. Centre for Computational Biology, IIIT Delhi, India RESEARCH INTERN(MACHiNE LEARNiNG) Dec 2018 June. 2019

• Worked under Prof. GPS Raghava and Dr Piyush Agrawal on multiple projects related to AI in Healthcare and Drug Discovery, in python

• Did significant data pre processing for very large datasets, making it machine learning ready, cleaning, reduction etc.

• UsedMachineLearningalgorithmslikeSVM,EnsembleMethods(RandomForests), MLP, kNNetc.toexpeditethehecticprocessofdrugdiscovery research by classifying which location on a protein are a site for binding of important cancer treating peptides Projects

Explainable AI in Medical Diagnosis (paper) 2020

• Used encoder decoder type CNNs to provide both classification and segmentation with very little annotations.

• Achieved high accuracy of 97.86% and AUROC of 0.99 while also giving the explanations behind each decision using modified and hybrid U Net(CNNs) to give localisation Implemented in Python Crop Disease Classification using Deep CNNs(code) 2019

• Used Deep Learning to classify crop disease using a leaf image, Used Transfer learning for pre training (InceptionV3 Network)

• CNN trained on over 20000 images belonging to 15 classes of crop diseases, achieved accuracy of 96%.

• Used callbacks, data augmentation, regularisation(dropout), batch normalisation, etc. Implemented in Python Machine Learning in Drug Discovery and Computational Biology (code 1, 2, paper 1, 2) 2019

• Employed ML to predict binding sites in a protein sequence to aid drug discovery

• Applied feature extraction, feature reduction (PCA, RFE etc.) and classification algorithms such as SVM, Logistic Regression, MLP etc.

• Extracted features from protein and peptide sequences which can later be used in many predictive analyses

• Launched an open source web server Pfeature, standalone, and executable, Implemented in Python Regression Analyses using Ensemble Learning Fall 2018

• Employed Ensemble Learning methods like bagging, boosting, random forests, AdaBoost etc. to regression Problem and compared perfor mance of existing methods (like SVM, Neural Network) with Ensemble Methods.

• Used ensemble learning methods to establish feature importance and then employ feature reduction.

• Dataset used: Boston Housing Dataset, Implemented in MATLAB Annual Household Income Prediction using Machine Learning Spring 2018

• Used Machine Learning to determine Annual Income of a household using various socio economic attributes Publications

JANUARY 23, 2021 GAURAV MiSHRA · DATA SCiENCE 1

Conferences and Poster Presentation

• Joshi A., Mishra G., Sivaswamy J. (2020) Explainable Disease Classification via Weakly Supervised Segmentation. In: Cardoso J. et al. (eds) Interpretable and Annotation Efficient Learning for Medical Image Computing. IMIMIC 2020, MIL3ID 2020, LABELS 2020. Lecture Notes in Computer Science, vol 12446. Springer, Cham.

• Gaurav Mishra, Urvi Ahluwalia, Karan Praharaj, and Shreyangi Prasad. Rf and rfid based object identification and navigation system for the visually impaired. In 2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID), pages 533–534. IEEE, 2019

Journal

• Piyush Agrawal, Gaurav Mishra, and Gajendra PS Raghava. Sambinder: A web server for predicting sam binding residues of a protein from its amino acid sequence. Frontiers of Pharmacology, 2019

• Sumeet Patiyal, Piyush Agrawal, Vinod Kumar, Anjali Dhall, Rajesh Kumar, Gaurav Mishra, and Gajendra PS Raghava. Nagbinder: An approach for identifying n acetylglucosamine interacting residues of a protein from its primary sequence. Protein Science, 2019 Archival/Under review

• Akshara Pande, Sumeet Patiyal, Anjali Lathwal, Chakit Arora, Dilraj Kaur, Anjali Dhall, Gaurav Mishra, Harpreet Kaur, Neelam Sharma, Shipra Jain, et al. Computing wide range of protein/peptide features from their sequence and structure. bioRxiv, page 599126, 2019 Skills

Programming Python(Tensorflow, Keras, Numpy, Pandas, scikit learn, OpenCV), MATLAB, Shell Scripting, C++ Operating Systems MacOS, Linux, Windows

AI/ML

Classification, Regression, SupervisedandUnsupervisedMachine Learning, Deep Learning, Explainable AI, Clustering, Segmentation, Data Visualisation, Data Wrangling, Data Augmentation, Computer Vision, Ensemble Methods Online Certifications and Extracurricular Activity Online Courses and Certificates 2019 2020

• Neural Networks and Deep Learning by deeplearning.ai on Coursera

• Mathematics for Machine Learning Specialisation by Imperial College London on Coursera

• Introduction to TensorFlow and Convolutional Neural Network in Tensorflow

• Improving Deep Neural Networks:Hyperparameter tuning, Regularization and Optimization by deeplearning.ai SNU Food Committee(Core Member & Chairperson) May. 2018 May. 2019

• Reformed and spearheaded a team which was responsible for food related affairs on the campus, with 2400 residents.

• Deployed Machine Learning tools in Dining Halls to minimise food wastage, reduced wastage significantly SPIC Macay(Head/Secretary) Mar. 2018 Mar. 2019

• Headed a university chapter for a world renowned organisation responsible for propagation of art forms

• Hosted many artists of international recognition on campus Snuphoria The Music Society(Head of Indian Music/Associate Secretary) Feb. 2017 Jan. 2018

• Headed music society’s Indian Music wing. Responsible to organising events, heading and managing the members JANUARY 23, 2021 GAURAV MiSHRA · DATA SCiENCE 2

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