Summary
Overview
Work History
Education
Skills
Websites
Tools And Technology
Academic Degrees
Patent Applications
Qualifications Summary
Awards
Timeline
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Soumyadeep Hore

Tampa,FL

Summary

Ph.D student familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in mathematics, optimization, data-driven approaches.

Overview

4
4
years of professional experience

Work History

Graduate Teaching Assistant

Industrial And Systems Engineering, USF
08.2019 - Current
  • Mentored students through office hours and one-on-one communication.
  • Taught Graduate and Under-graduate level courses for over 200 students.

Graduate Research Assistant

AI Research Lab for Secure Systems
08.2019 - Current
  • Conducted thorough literature reviews to better understand research topics and associated gaps.
  • Developed and implemented different Machine Learning(ML) and Deep Learning (DL) based tools to boost cyber defense.
  • Performed statistical, qualitative, and quantitative analysis.
  • Created professionally-written scientific paper for publication.

Education

Ph.D. - Industrial And Systems Engineering

University of South Florida
Tampa, FL
04.2024

Master of Science - Industrial And Systems Engineering

Indian Institute of Technology, Dhanbad
Dhanbad, India
06.2019

Bachelor of Science - Mechanical Engineering

West Bengal University of Technology
West Bengal, India
06.2015

Skills

  • Knowledgeable About Predictive and Prescriptive Analytics
  • Proficient in Programming Languages (Python, R, C, Java), Machine Learning and Deep Learning Libraries (Pytorch, TensorFlow, Pandas, CUDA, NLTK, Hugging Face), Data Management and Visualization Tools (Power BI, MySQL), Cloud Computing (AWS, Azure)

Tools And Technology

Python, R, C++, Java, Julia, Feedforward Neural Networks (FNN), Recurrent Neural Networks (RNN), Physics-infused Neural Networks (PINN), Long Short-Term Memory Networks (LSTM), Gated Recurrent Units (GRU), Transfer Learning, Federated Learning, Graph Neural Networks (GNN), Image Classification, Object Detection, Semantic Segmentation, Instance Segmentation, Edge Detection, Depth Estimation, Image Generation, Super-Resolution, Pytorch, Pytorch Geometric, TensorFlow, Caffe, OpenCV, SimpleCV, Detectorn2, CUDA, YOLO, ImageJ, Deep Graph Library, GraphConv, GraphNets, Deep Q Networks, Double Deep Q Networks, Proximal Policy Optimization (PPO), Trust Region Policy Optimization (TRPO), C51, Soft Actor-Critic (SAC), Deep Deterministic Policy Gradient (DDPG), Twin-Delayed DDPG (TD3), Hindsight Experience Replay (HER), OpenAI Gym, Stable Baselines, TensorFlow Agents, DeepMind ControlSuite, RLTK, Text Generation, Natural Language Understanding, Machine Translation, Topic Modelling, Text Classifications, Stemming and Lemmatization, NLTK, Pattern, WordNet, spaCy, Genism, TextBlob, BERT, GPT, XLNet, Text-to Text Transformer, ERNIE, Hugging Face Transformer, TensorFlow Text, JAX, FLAIR, AllenNLP, AWS Lambda, Sagemaker, Azure Machine Learning, Google AI Platform, Tableau, Microsoft Power BI, Google Data Studio, D3.js, Matplotlib, Seaborn, Plotly, MySQL, PostgreSQL, SQLite

Academic Degrees

  • Ph.D. in Industrial and Management Systems Engineering, University of South Florida, Tampa, FL, Spring 2024
  • M.Tech. in Industrial Engineering, IIT(ISM) Dhanbad, Dhanbad, Spring 2019
  • B.Tech. in Mechanical Engineering, West Bengal University of Technology, Kolkata, Spring 2015

Patent Applications

  • System and Method for Reducing a Threat Footprint of an Area-of-Interest, Ankit Shah, Dinesh Sharma, 12/22/2021
  • Deep Cyber Vulnerability Mitigation System, 11/08/2021

Qualifications Summary

A Ph.D. with research expertise in Predictive and Prescriptive Analytics (Machine Learning, Optimization, Reinforcement Learning), with applications in Cybersecurity. Four years of experience as an AI researcher with the following achievements: Multiple govt. funded projects, Four accepted peer-reviewed articles at top venues (Ex- ICML), two utility patent applications, and numerous invited talks at technical conferences. 2022 Seth Bonder's Scholarship Award for Applied Operations Research in Military and Security Applications, INFORMS 2022 national award recipient.

Awards

  • 2022 Seth Bonder’s Scholarship Award for Applied Operations Research in Military and Security Applications, INFORMS 2022 national award recipient.

Timeline

Graduate Teaching Assistant

Industrial And Systems Engineering, USF
08.2019 - Current

Graduate Research Assistant

AI Research Lab for Secure Systems
08.2019 - Current

Ph.D. - Industrial And Systems Engineering

University of South Florida

Master of Science - Industrial And Systems Engineering

Indian Institute of Technology, Dhanbad

Bachelor of Science - Mechanical Engineering

West Bengal University of Technology
Soumyadeep Hore