Tampa, Florida, United States
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Graduate student (MS) in Business Analytics and Information systems from the University…

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Experience & Education

  • Citi

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Licenses & Certifications

Volunteer Experience

  • Executive Member

    Prakriti- Eco Club of ASE-B

    - 1 year 10 months

    Environment

    As an Executive Member of the Eco Club and social outreach club, Coordinated and led a team of around 20 members and volunteers of the club to organize various events throughout the year. As a part of the club, We have organized several blood donation camps, visits to the nearby orphanages and old age homes. We have worked with Enable India to make computer instruction aids for the visually challenged. We have tutored kids at an orphanage near the college. We have worked with various other NGOs…

    As an Executive Member of the Eco Club and social outreach club, Coordinated and led a team of around 20 members and volunteers of the club to organize various events throughout the year. As a part of the club, We have organized several blood donation camps, visits to the nearby orphanages and old age homes. We have worked with Enable India to make computer instruction aids for the visually challenged. We have tutored kids at an orphanage near the college. We have worked with various other NGOs like Rashtrotthana blood bank,Enable India, and Make a Wish Foundation. We have celebrated Thanks Giving as 'Joy of Giving' by providing food and blankets to the blue collar workers of our college. Serving as a secretary of this club has taught me team management, communication and collaborating skills. Moreover it helped me gain leadership skills to manage a large group of volunteers when we used to organize various activities on a large scale. One of those included the managing of crowd and food for all the devotees of MATA Amritanandamayi during her visit to Bangalore. It helped me learn to co-ordinate with a lot of volunteers and in the end it was a huge success.

Publications

  • Enhanced MRAC Based Parallel Cascade Control Strategy for Unstable Process with Application to a Continuous Bioreactor

    In this paper, Enhanced Model Reference Adaptive Control (E-MRAC) based Parallel Cascade Control strategy (PCC) is proposed for the control of unstable continuous bioreactor. This control system consists of secondary and primary loop. The secondary loop comprises of PID controller, which is designed based on the direct synthesis method. In order to achieve stable responses for unstable processes like continuous bioreactor, non linear control strategy in the primary loop would gain edge over…

    In this paper, Enhanced Model Reference Adaptive Control (E-MRAC) based Parallel Cascade Control strategy (PCC) is proposed for the control of unstable continuous bioreactor. This control system consists of secondary and primary loop. The secondary loop comprises of PID controller, which is designed based on the direct synthesis method. In order to achieve stable responses for unstable processes like continuous bioreactor, non linear control strategy in the primary loop would gain edge over linear control. Hence, the Enhanced MRAC (includes smith predictor) is introduced in the primary loop. The presence of Smith predictor has minimized the discrepancies due to dead times. This seems to be an added advantage over existing ones. From the simulation studies it is observed that Enhanced MRAC based PCC has shown better tracking performance when compared to the PID based PCC control strategy.

    Other authors
    • Karthik Koneru

  • Enhanced Model Reference Adaptive Control Using Smith Predictor

    Trans Tech Publications, Switzerland

    The main aim of a control system is to repress the instabilities caused by nonlinearities of the system. Dead time is considered to be one of the most significant nonlinearities of a system. Dead time compensators play a vital role in reducing the dead time effects on the processes only to a minute extent. This paper proposes a method to overcome this problem by using Enhanced Model Reference Adaptive Control (MRAC) incorporating Smith Predictor. MRAC belongs to class of adaptive servo system…

    The main aim of a control system is to repress the instabilities caused by nonlinearities of the system. Dead time is considered to be one of the most significant nonlinearities of a system. Dead time compensators play a vital role in reducing the dead time effects on the processes only to a minute extent. This paper proposes a method to overcome this problem by using Enhanced Model Reference Adaptive Control (MRAC) incorporating Smith Predictor. MRAC belongs to class of adaptive servo system in which desired performance is expressed with the help of a reference model. Enhanced MRAC consists of a fuzzy logic controller which provides adaptation gain to MRAC without human interference. A dead time compensator incorporated in the enhanced MRAC solves the problem of instabilities caused by dead time to a greater extent.

    Other authors
    • Karthik Koneru
    See publication

Courses

  • Advanced Database Management

    ISM-6218

  • Advanced System Analysis/Design

    ISM-6124

  • Advanced System Analysis/Design

    ISM-6124

  • Analytical Methods for Business

    QMB-6304

  • Big Data for Business

    ISM-6562

  • Computer Programming

    IT-101

  • Data Mining

    ISM-6136

  • Data Science Programming

    ISM-6930

  • Data Warehousing

    ISM-6208

  • Distributed Information Systems

    ISM-6225

  • Enterprise Information System Management

    ISM-6155

  • Instrumentation System Design

    EI 425

  • PHP

    -

  • Pearl

    -

  • Probability and Statistics

    MA 220

  • Process Control

    EI 302

  • Robotic Control

    EI 324

  • Statistical Data Mining

    ISM-6137

  • VLSI Design

    EC 302

Projects

  • Data Analytics Project on Student Performance in Portuguese schools

    • Collected and cleaned the data of Students Performance over a year in Portuguese and Math and analyzed various factors influencing the grades of the Students for various schools.
    • Created a parsimonious model based on the hypothesis and ran regression analysis.
    • Interpreted the results for significant coefficients and provided the best feasible recommendations for the school management.

    See project

  • Exploring competitive nature of Uber and NYC taxi

    -

    • Classified the demand patterns of all modes of transportation in NYC at yearly, monthly, weekly and daily levels
    • Analyzed the change in demand pattern post Uber's advent in NYC transportation. New demand patterns of Uber are predicted using R and SAS. Developed new go to market strategies for NYC taxi based on competitor analysis

  • Analysing sentiment of features with user reviews

    -

    •Scrapped and Analyzed user reviews and provide ratings for specific component/feature of a product.
    •Used SVM, Naïve Bayes and compared these models for best fit to extract the sentiment of individual feature.
    •Build a feature rating calculation method to calculate a rating for the mentioned feature.

    See project

  • University Database

    -

    • Created database for a university application by self-generating data
    • It includes different tables of Students, Professors, Departments, Programs, etc., useful for students and instructors and university management.
    • Applied views, Indexes and created stored procedures to optimize the search results of the Queries and increase the performance.

  • Visualization of Road Accidents in United Kingdom

    -

    • Collected analyzed and predicted the causes, reasons and fatalities for over a period of 25 years regarding the Road accidents occurred in UK due to various factors using R.
    • Created Interactive dashboard to show accident distribution across the country.
    • It includes geographical plot, bar charts, pie charts and tree map and different filters to show the distribution.

    See project

  • Parallel Cascade MRAC to compensate Dead time

    -

    This was accepted and presented at " International Symposium on Intelligent Informatics 2013

    Other creators
    • Karthik Koneru

  • Enhanced MRAC design

    -

    This was accepted and presented at " International Conference of Mechanics Control and Simulation" Kanyakumari 2013

    Other creators

Languages

  • English

    Full professional proficiency

  • Telugu

    Native or bilingual proficiency

  • Hindi

    Full professional proficiency

Organizations

  • Infosys

    Senior Systems Analyst

    -

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