Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Dr. Srinivas Balivada, University of Chicago Trust, India

Dr. Srinivasa Balivada is a consultant with the University of Chicago Trust in Delhi, India, and a guest scientist at the University of Chicago. He holds a Ph.D. in Chemistry from Andhra University, where his research focused on trace elements in diabetes mellitus and hypertension. Dr. Balivada’s expertise lies in developing innovative cyber-physical systems for real-time monitoring of soil and water quality, leveraging AI to promote sustainable environmental management.

Professional Profile:

Summary of Suitability for Best Researcher Award: Srinivasa Balivada, Ph.D.

Research Contributions: Srinivasa Balivada has made significant advancements in the field of cyber-physical systems and environmental monitoring. His research has been pivotal in developing innovative technologies for real-time soil and water quality monitoring, leveraging machine learning and advanced sensor networks. Some notable contributions include:

Education

  • Ph.D. in Chemistry, October 2018
    Andhra University, India
  • M.Sc. in Bio-Inorganic Chemistry, May 2007
    Andhra University, India
  • B.Sc. in Chemistry, Botany, and Zoology, May 2005
    Andhra University, India

Work Experience

  • Guest Scientist & Consultant, May 2024 – Present
    University of Chicago & University of Chicago Trust, Delhi, India
    Focus: Designing a web-based platform integrating water quality data with contextual information to identify pollution sources and enhance monitoring.
  • Staff Scientist & Resident Associate, May 2023 – May 2024
    University of Chicago & Material Science Division, Argonne National Laboratory
    Focus: Developed a novel machine learning algorithm for spatially mapping soil moisture using topographic parameters.
  • Postdoctoral Scholar & Resident Associate, May 2019 – May 2023
    University of Chicago & Material Science Division, Argonne National Laboratory
    Advisor: Prof. Supratik Guha; Co-advisor: Dr. Roser Matamala
    Focus: Developed low-power, wireless underground sensor networks for soil property collection; created a deep learning algorithm for soil moisture estimation.
  • Senior Research Lead, May 2017 – April 2019
    University of Chicago Centre, Delhi, India
    Focus: Developed a cyber-physical sensing system for high-resolution surface water quality mapping; created a soft measurement technique for water quality assessment.
  • Research Scholar, 2010 – 2017
    School of Chemistry, Andhra University, India
    Advisor: Prof. M S Prasada Rao
    Focus: Developed a method for simultaneous trace element determination in blood samples; investigated trace element associations with diabetes and hypertension.
  • Research Fellow, 2010 – 2017
    Centre for Studies on Bay of Bengal, Andhra University, India
    Focus: Developed algorithms for quantifying chlorophyll, chromophoric organic matter, and suspended solids in coastal waters; monitored algal blooms using satellite remote sensing.
  • Teaching Assistant, 2011 – 2017
    Department of Inorganic and Analytical Chemistry, Andhra University, India
    Taught and graded laboratory sessions for Bio-Inorganic Chemistry and Environmental Chemistry.
  • Chemist in Quality Control Department, 2007 – 2009
    Auctus Pharma Ltd., India
    Responsibilities: Conducted routine and non-routine analyses of raw materials and finished products, compiled data, and calibrated analytical instruments including HPLC, GC, IR, and UV-Vis spectrometers.

Publication top Notes:

 

Distribution of trace metals in surface seawater and zooplankton of the Bay of Bengal, off Rushikulya estuary, East Coast of India

CITED:76

A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation

CITED:14

Contrasting bio-optical characteristics of coastal water prior to and in the aftermath of a tropical super cyclone

CITED:8

Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions

CITED:8

Retrieval and validation of chlorophyll-a concentrations in the coastal waters Off Yanam and Kakinada (Godavari) basin along East coast of India

CITED:7

 

Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award 

Dr. Alex Guillén Bonilla, University of Guadalajara, Mexico

👨‍🔬 Alex Guillén Bonilla is a distinguished Research Professor at the University of Guadalajara, specifically at the Valleys University Center in Jalisco, México. With a career rooted in scientific excellence, he is a recognized member of the National System of Researchers (SNI Level 1) and holds a Desirable Profile from PRODEP. His contributions to the field of materials science are further underscored by his inclusion in the National Register of Researchers in Materials Science. 🎓 Dr. Guillén Bonilla’s academic journey began with a technical education in Plastics Chemistry at the University of Guadalajara’s Polytechnic School, CUCEI, from which he graduated in July 2000. He then pursued a degree in Mechatronics Engineering at the Industrial Technical Education Center (CETI), completing his thesis on the analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates in November 2005. His passion for optoelectronics led him to the Center for Scientific Research and Higher Education of Ensenada (CICESE), where he earned a master’s degree with a thesis focused on the study and design of two polarization interferometers for object observation by reflection in November 2008.

Professional Profile:

GOOGLE SCHOLAR

 

EDUCATION

1. Doctorate in Materials Science

  • Institution: University of Guadalajara, University Center of Exact Sciences and Engineering (CUCEI), Guadalajara, Jalisco, México
  • Thesis Title: Synthesis and characterization of CoSb2O6 semiconductor oxide micro and nanoparticles for their potential application as an environmental gas sensor
  • Date of Graduation: November 2014
  • Professional License: PEJ313612

2. Master’s in Optoelectronics Oriented Optics

  • Institution: Center for Scientific Research and Higher Education of Ensenada (CICESE), Ensenada, Baja California Norte, México
  • Thesis Title: Study and design of two polarization interferometers for the observation of objects by reflection
  • Date of Graduation: November 2008
  • Professional License: PEJ313614

3. Engineering in Mechatronics

  • Institution: Industrial Technical Education Center (CETI), Guadalajara, Jalisco, México
  • Thesis Title: Analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates
  • Date of Graduation: November 2005
  • Professional License: PEJ313609

WORK EXPERIENCE

Research Professor

  • Institution: University of Guadalajara, Valleys University Center, Guadalajara, Jalisco, México
  • Role: Conducts research in the preparation and characterization of semiconductor oxides and the development of gas sensors, as well as the design of reflection polarization interferometers.

Previous Positions (if applicable, based on details not provided in the CV)

  • Specific details on previous positions are not included in the provided CV data.

 

Publication top Notes:

 

Synthesis of ZnMn2O4 Nanoparticles by a Microwave-Assisted Colloidal Method and their Evaluation as a Gas Sensor of Propane and Carbon Monoxide

CITED: 59

Synthesis, Characterization, and Sensor Applications of Spinel ZnCo2O4 Nanoparticles

CITED: 33

A Novel Gas Sensor Based on MgSb2O6 Nanorods to Indicate Variations in Carbon Monoxide and Propane Concentrations

CITED: 33

Low‐Temperature Synthesis and Gas Sensitivity of Perovskite‐Type LaCoO3 Nanoparticles

CITED: 30

Key processing of porous and fibrous LaCoO3 nanostructures for successful CO and propane sensing

CITED: 27

 

 

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award 

Mr. Mohammad Abdolrazzaghi, University of Toronto, Canada

Mohammad Abdolrazzaghi is a distinguished Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Toronto, specializing in Electronics with a focus on integrated circuits and wireless power transfer for implantable devices. Born on February 20, 1991, he embarked on his academic journey with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors. He furthered his expertise with an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, during which he developed advanced planar microwave sensors. Since September 2020, Mohammad has been contributing significantly to research at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto. His work includes the development of phased-array systems for wireless power transmission and the design of compact antennas for biomedical applications. His notable industry experience includes leading electromagnetic research at Phased Advanced Sensors Corp., resulting in a provincial patent for oil quality monitoring sensors. Mohammad’s academic portfolio is highlighted by numerous publications in prestigious journals and conferences, reflecting his profound contributions to sensor technology and microwave engineering. His teaching experience at Humber College and the University of Toronto, where he has instructed courses on electronics and circuit analysis, underscores his commitment to education. Recognized with several awards, including the NSERC Postgraduate Scholarship and the John W. Senders Award, Mohammad’s research integrates cutting-edge technology with practical applications, significantly advancing the fields of wireless power transfer and microwave sensors.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

 

📚 Education and Experience:

Mohammad Abdolrazzaghi is a dedicated Ph.D. candidate in Electronics at the University of Toronto, specializing in integrated circuits and wireless power transfer, particularly for implantable devices. He holds an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, where he made significant strides in developing advanced planar microwave sensors. His academic journey began with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors.

🔬 Research and Achievements:

With extensive research experience, Mohammad has been a research assistant at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto since 2020. His innovative work includes developing phased-array systems for wireless power transmission and designing compact antennas for biomedical applications. His leadership in electromagnetic research at Phased Advanced Sensors Corp. resulted in a provincial patent for oil quality monitoring sensors.

📄 Publications and Teaching:

Mohammad’s prolific contributions to sensor technology and microwave engineering are reflected in numerous papers published in prestigious journals and conferences. His teaching experience spans multiple institutions, including Humber College and the University of Toronto, where he has instructed and assisted in courses related to electronics and circuit analysis. His academic excellence is further highlighted by awards such as the NSERC Postgraduate Scholarship and the John W. Senders Award for mentoring an imaginative design.

🌟 Research, Innovations, and Extensions:

In the field of sensors, Mohammad’s research has significantly advanced the development and application of microwave planar sensors, focusing on material characterization, gas/liquid sensing, and active sensors. His innovative techniques for non-contact glucose monitoring, utilizing microwave resonator-based platforms, have enhanced sensitivity and reliability. By integrating machine learning, he has improved the selectivity and accuracy of chemical and biomedical analyses. His work in microwave sensors extends to wireless communication, demonstrating potential in high-resolution sensing for industrial monitoring and environmental applications.

 

Publication top Notes:

Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC

In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities

AI-Assisted Ultra-High-Sensitivity/Resolution Active-Coupled CSRR-Based Sensor with Embedded Selectivity

Artificially-Intelligent Fascicle-Selective Bidirectional Peripheral Nerve Interfaces

Fascicle-Selective Bidirectional Peripheral Nerve Interface IC with 173dB FOM Noise-Shaping SAR ADCs and 1.38pJ/b Frequency-Multiplying Current-Ripple Radio Transmitter

Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments