Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network

 

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Prof Dr. Sara Paiva, Viana do Castelo Polytechnic Universiry, Portugal

Sara Paiva, an esteemed academic and researcher, is currently serving as an Assistant Professor and Pro-President for Information Systems at Viana do Castelo Polytechnic University in Portugal. Born on November 28, 1979, Sara has built a distinguished career marked by notable academic and professional achievements.Sara’s educational journey is both extensive and impressive. She holds a degree in Systems and Computer Engineering from Minho University in Braga, Portugal, which she completed in 2002. Her early passion for technology and engineering laid a strong foundation for her future endeavors. She then pursued a Ph.D. at Universidade de Vigo, where she focused on semantic technologies, specifically developing an architecture for guided search systems. She successfully defended her thesis in 2011, further cementing her expertise in the field.In her relentless pursuit of knowledge and innovation, Sara undertook a Post-Doctoral research project at Universidade de Oviedo from 2018 to 2021. As part of the SMIOT Research Group, she concentrated on Smart Mobility and Advanced Driving Assistants, areas that align with the burgeoning intersection of technology and everyday life.

Professional Profile

Education

  • Post-Doctorate (2018 – 2021):
    • Institution: Universidade de Oviedo
    • Research Group: SMIOT – Multimedia Services and Internet of Things
    • Research Area: Smart Mobility and Advanced Driving Assistants
  • Ph.D. (2007 – 2011):
    • Institution: Universidade de Vigo
    • Thesis Title: An architecture for guided search systems based on semantic technologies
  • Degree in Systems and Computer Engineering (1997 – 2002):
    • Institution: Minho University, Braga, Portugal

Work Experience

  • Assistant Professor:
    • Institution: Viana do Castelo Polytechnic University, Portugal
    • Roles and Responsibilities:
      • Teaching various courses in Systems and Computer Engineering.
      • Supervising student projects and theses.
      • Conducting research in Smart Mobility, Internet of Things, and related areas.
      • Serving as the Pro-President for Information Systems, overseeing the institution’s information systems and technology initiatives.

Research and Publications

Sara Paiva has a robust research portfolio, focusing primarily on smart mobility, advanced driving assistants, and the integration of semantic technologies in guided search systems. Her academic contributions include numerous publications in high-impact journals and conferences, reflecting her expertise in multimedia services and the Internet of Things.

 

Publications Notes:📄

Design Methodology for a Shared Mobility App

A Review of Use Cases of Gamification in Mobility Systems and Services

A Survey and Risk Assessment on Virtual and Augmented Reality Cyberattacks

Accessibility strategies to promote inclusive mobility through multi-objective approach

An Analysis on the Implementation of Secure Web-Related Protocols in Portuguese City Councils

An Augmented Reality Framework as a Solution to Enhance the Experience of Visiting a Museum

Assessing Cybersecurity Risks in BLE-based Asset Management Systems