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. Markus Sigrist | Medical Detectors | Best Researcher Award

Prof Dr. Markus Sigrist | Medical Detectors | Best Researcher Award

Prof Dr. Markus Sigrist, ETH Zürich, Switzerland

Markus W. Sigrist, born on September 6, 1948, in Illnau, Zurich, Switzerland, is a distinguished physicist renowned for his contributions to laser spectroscopy and sensing. He pursued his education at ETH Zurich, earning a diploma (Master) degree in physics in 1972, followed by a Ph.D. in 1977 with a thesis on laser-generated stress waves in liquids. Postdoctoral research took him to the University of California at Berkeley from 1978 to 1980. Returning to ETH Zurich, he held various academic positions, achieving his habilitation in 1985. His career included a sabbatical as a guest professor at Rice University in Houston in 1990 and later becoming an adjunct professor there from 1994 to 2013. As a professor of experimental physics at ETH Zurich from 1995 to 2013, he led the Laser Spectroscopy and Sensing Group, pioneering research in laser development and spectroscopy for diverse applications, including medical, forensic, environmental, and industrial fields. Post-retirement, he remains Professor Emeritus at ETH and has served as a guest professor in France and a foreign expert in China. Sigrist’s prolific research encompasses mid-IR laser spectroscopic sensing for medical diagnostics, environmental monitoring, and the development of advanced laser sources and detection schemes. He has mentored numerous Ph.D. and M.Sc. students, contributing significantly to the academic community through his supervision and examination of over 50 Ph.D. theses.

Professional Profile

🎓 Education:

  • Studied physics at ETH Zurich
  • Master’s degree (Diploma) in 1972
  • PhD in 1977 with the thesis “Laser-generated stress waves in liquids”

🧑‍🔬 Employment History:

  • 1978-1980: Postdoctoral Fellow at the University of California, Berkeley, USA
  • Since 1980: Various positions at ETH Zurich
  • 1985: Habilitation thesis, received docent degree (Privatdozent) at ETH Zurich
  • 1990: Sabbatical as Guest Professor at Rice University, Houston, Texas, USA
  • 1995-2013: Professor for Experimental Physics at ETH Zurich, Head of the Laser Spectroscopy and Sensing Group within the Institute for Quantum Electronics
  • 1994-2013: Adjunct Professor at Rice University
  • 2013: Retired, Professor Emeritus of ETH Zurich
  • 2003 and 2011: Guest Professor at Université du Littoral Côte d’Opale, Dunkerque, France
  • 2014-2017: Foreign Expert at the Chinese Academy of Sciences, Hefei, China

🔬 Research Activities:

  • Medical & Forensic Analysis: Mid-IR laser spectroscopic sensing for breath and surgical smoke analysis, non-invasive glucose sensing, doping agent detection in urine, drug detection in saliva
  • Environmental & Industrial Applications: Laser spectroscopic sensing for environmental, industrial, and agricultural uses
  • Laser Development: Broadly tunable narrowband infrared laser sources including CO, CO₂, semiconductor lasers (QCLs, lead salt VECSELs), optical parametric oscillators, difference frequency generation
  • Detection Schemes: Photoacoustic, photothermal, multi-pass, cavity-ringdown, fiberoptic methods for trace gases and liquids
  • Trace Gas Monitoring: Laser-spectroscopic systems
  • Laser-Interaction Studies: Interaction with solids, liquids, and gases
  • Non-Destructive Testing: Noncontact studies on adhesion strength of surface coatings

🎓 Supervision:

  • Supervised 23 PhD students and numerous MSc students at ETH Zurich
  • Acted as co-expert and examiner for over 50 PhD theses internationally

Publications Notes:📄

Stable Gaseous Isotope Measurement Method Based on Highly Sensitive Laser Absorption Spectroscopy and Its Applications

Non-dispersive sensing scheme based on mid-infrared LED and differential mode excitation photoacoustic spectroscopy

Multi-component gas measurement aliasing spectral demodulation method for interference separation in laser absorption spectroscopy

A sensitive carbon monoxide sensor for industrial process control based on laser absorption spectroscopy with a 2.3 μm distributed feedback laser

Monitoring of peroxy radicals by chemical amplification enhanced photoacoustic spectroscopy