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Vishnu Kakaraparthi

Revision as of 17:00, 4 August 2024 by 209.147.138.73 (talk) (Created page with "### Vishnu Prateek Kakaraparthi **LinkedIn**: [prateekvishnu](https://linkedin.com/in/prateekvishnu) **GitHub**: [prateekvishnu](https://github.com/prateekvishnu) --- #### EDUCATION **Master of Business Administration** *Quantic School of Business and Technology* July 2024 **Ph.D., Computer Science** *Ira A. Fulton Schools of Engineering - Arizona State University* May 2024 | GPA: 4.00 Relevant Coursework: Introduction to Smart Cities, Smart & Resilient...")
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      1. Vishnu Prateek Kakaraparthi

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        1. EDUCATION
    • Master of Business Administration**
  • Quantic School of Business and Technology*

July 2024

    • Ph.D., Computer Science**
  • Ira A. Fulton Schools of Engineering - Arizona State University*

May 2024 | GPA: 4.00 Relevant Coursework: Introduction to Smart Cities, Smart & Resilient Communities, Smart City Infrastructures and Technology, Introduction to Policy Informatics.

    • Master of Computer Science**
  • Ira A. Fulton Schools of Engineering - Arizona State University*

December 2018 | GPA: 3.80 Relevant Coursework: Distributed Database Systems, Artificial Intelligence, Statistical Machine Learning, Natural Language Processing, Data Visualization, Data Mining, Knowledge Representation and Reasoning, Perception in Robotics, and Software Verification/Validation/Test.

    • Bachelor in Computer Science and Engineering**
  • SRM University*

November 2016 | GPA: 3.80

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        1. TECHNICAL SKILLS AND CERTIFICATIONS
    • Programming:** Python, Java
    • Databases:** MySQL, PostgreSQL, MongoDB
    • Big Data Tools:** Hadoop MapReduce, Apache Spark, Mahout
    • Data Science Tools:** TensorFlow, Keras, Pandas, NumPy, SciPy, Matplotlib, Scikit-learn
    • Other Data Tools:** Tableau, Elasticsearch
    • Other Tools/Software:** InVision Studio, iMotions, Git
    • Cloud Platforms:** Amazon Web Services (AWS), Google Cloud (GCP)
    • Certifications:** Deep Learning Specialization (deeplearning.ai, Coursera), Machine Learning (Stanford, Coursera)

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        1. RESEARCH EXPERIENCE
    • Doctoral Researcher**
  • Center for Cognitive Ubiquitous Computing (CUbiC) Lab, Arizona State University*

July 2020 - Present - Developing advanced machine learning and image learning algorithms for a novel wrist-worn camera device. - Co-PI for Global Sport Institute Grant to develop tools for sports enthusiasts and elderly individuals using a novel wrist-worn camera device. - Co-PI for WearTech to develop pill-taking tools for elderly individuals using a novel wrist-worn camera device.

    • Doctoral Researcher**
  • innovative Learner and User eXperience (iLUX) Lab, Arizona State University*

January 2019 - July 2020 - Researched the effects of light noise on cognitive activity using eye tracking and brain-computer interfaces. - Modeled constructs like trust and motivation using EEG and GSR data. - Data pre-processing, analysis, mentoring, and managing graduate and undergraduate students.

    • Doctoral Researcher**
  • Advanced Next Generation Learning Environments (ANGLE) Lab, Arizona State University*

January 2019 - July 2020 - Researched user experience in education, marketing, merchandising, product, and space design, considering cognitive and affective components.

    • Bachelor's Thesis**
  • SRM University*

January 2016 - July 2016 - Comparative study of machine learning algorithms for forecasting closing price indices.

    • SRM - PURA (Providing Urban Amenities in Rural Areas)**
  • SRM University*

January 2013 - August 2015 - Provided rural areas with e-learning, IT empowerment, e-governance, agriculture, healthcare, and women empowerment infrastructure. - Integrated APIs to front-end and provided back-end design support.

    • SRM-SE (SRM Search Engine)**
  • SRM University*

January 2013 - December 2015 - Developed a search engine that diversifies and categorizes results for a specified query.

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        1. PUBLICATIONS AND PATENTS

- *A Hand-Directed System For Identifying Activities*, Patent Pending, U.S. Patent App. #20230324993. - Kakaraparthi, V., et al. (2023). "Wrist View: Understanding Human Activity Through Hand." *HCII 2023*, Lecture Notes in Computer Science, vol 14021, Springer, Cham. - Kakaraparthi, V., et al. (2022). "PERACTIV: Personalized Activity Monitoring - Ask My Hands." *HCII 2022*, Lecture Notes in Computer Science, vol 13326, Springer, Cham. - Vishnu Prateek K, "Machine Learning Algorithm Hypothesis on Smart Gyroscopic Tuned Dampers for Earthquake Resistance Building", *International Journal of Multidisciplinary Research and Development*, vol. 2, pp. 705-707, 2015.

---

        1. WORK EXPERIENCE
    • Machine Learning Intern**
  • BrainChip Inc | Zalmotek, Mercedes-Benz*

June 2023 - August 2023 - Developed and deployed efficient machine learning models. - Led a multimodal anomaly detection project integrating sensor data. - Managed end-to-end collaboration with hardware firms. - Spearheaded development of distracted driving technology for automotive safety.

    • Technical Lead**
  • Toy Upgrade (ASU Startup)*

June 2018 - January 2020 - Oversaw a team developing an educational toy. - Developed a pronunciation matching system.

    • Technical Lead**
  • Heyludwig - Partners Dog Training (Startup)*

June 2018 - January 2020 - Oversaw chatbot development and deployment.

    • Research and Development Intern**
  • Ericsson India Pvt Ltd.*

January 2016 - April 2016 - Achieved high accuracy in churn prediction and Facebook stream analytics.

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        1. OPEN SOURCE CONTRIBUTIONS
    • Mayhem Heroes**

April 2022 - June 2022 - Integrated Mayhem, an autonomous AI fuzzy testing tool.

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        1. AWARDS AND HONORS

- WearTech Grant (2021-2022), Cognitive Ubiquitous Computing (CUbiC) Lab - Global Sport Institute Grant (2021), Cognitive Ubiquitous Computing (CUbiC) Lab - Third prize in All India Software Development SESCON-15 (2015) - First prize in Denken Fest coding competition (2014) - Academic Excellence Award by Indus Foundation (2014) - First prize in CTF at eHack by Infysec (2013)

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        1. TEACHING EXPERIENCE
    • Graduate Teaching Assistant**
  • School of Computing and Augmented Intelligence, Arizona State University*

January 2019 - July 2023 - Taught over 200 students Human-Computer Interaction (CSE 463). - Course Instructor for FSE 100: Introduction to Engineering. - Lab Instructor for CSE 110: Principles of Programming with Java.

    • Graduate Services Assistant - Grader/Lab Instructor**
  • School of Computing and Augmented Intelligence, Arizona State University*

August 2017 - July 2022 - Assisted in grading and designing course structures for various computer science courses.

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        1. ADMINISTRATIVE EXPERIENCE
    • Administrative Researcher**
  • innovative Learner and User eXperience (iLUX) and Advanced Next Generation Learning Environments (ANGLE) Labs*

January 2019 - July 2020 - Orchestrated daily operations and research initiatives in Affective Computing and Augmented Reality.

---

        1. PROFESSIONAL SERVICES
    • PC Member & Reviewer**

- ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) - ACM Conference on Human Factors in Computing Systems (CHI) - Pacific Visualization Symposium (PacificVis) - Computer-Human Interaction of Australia (OzCHI) - International AAAI Conference on Web and Social Media (ICWSM) - Conference on Human Robot Interaction (HRI) - International Conference on Human-Computer Interaction (HCII)

---

        1. INVITED TALKS

- *FSE 150 Perspectives on Grand Challenges for Engineering - Joy of Living through Technology.* - Invited Speaker at ASU Data/Methods Workshop on Python Programming and Machine Learning.

---

        1. HACKATHON PROJECTS
    • WizardEyes**

September 2021 - Developed a Smart Cities and Infrastructure Module for occupancy, queue, mask detection, social distance checking, and crowd counting.

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        1. ACADEMIC PROJECTS
    • A Dementia Framework**

January 2022 - February 2022 - Developed a Participatory Design Framework for Dementia Technology.

    • Relationship Between Technological Tools and those Affected by Dementia**

August 2021 - December 2021 - Studied the relationship between technological tools and those affected by dementia.

    • LIDAR Object Detection**

February 2019 - May 2019 - Developed LIDAR object detection algorithms for environmental perception.

    • Vision Based Manipulator Movement with Fetch**

February 2019 - May 2019 - Implemented visual serving techniques for Fetch robot to locate and reach target objects.

    • Semantic Search on Movie Summary**

January 2018 - May 2018 - Led a team to develop a question-answering system based on movie summaries.

    • Spatial Hot Spot Analysis from Geo Spatial-Temporal Data**

August 2017 - November 2017 - Built a hot spot analysis model analyzing NYC taxi data.

    • Classification of Higgs Boson Particle**

January 2017 - May 2017 - Built an ensemble of neural networks and random forest models for particle classification.

    • Maximize NYC Taxi Driver Revenue Visualization**

January 2017 - May 2017 - Developed a visualization system for NYC taxi drivers to increase productivity and revenue.

    • Knowledge Base Based Question Answering System**

January 2017 - May 2017

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