Mr. Daniel Kadyrov | Acoustics Awards | Best Researcher Award

Mr. Daniel Kadyrov | Acoustics Awards | Best Researcher Award

Mr. Daniel Kadyrov, Stevens Institute of Technology, United States

Daniel Kadyrov is a skilled engineer, researcher, and educator based in New York, NY, specializing in acoustics, sensor technology, and machine learning. He is currently a Ph.D. candidate in Ocean Engineering at Stevens Institute of Technology and holds a Master’s in Computer Science with a focus on Machine Learning and Data Science, as well as a Bachelor’s and Master’s in Mechanical Engineering from Binghamton University. Daniel has extensive experience in applied research and technology development, particularly in acoustics and sensor integration. His work at the National Urban Security Technology Laboratory and Stevens Institute of Technology has involved the design and testing of complex sensor systems for applications such as drone detection, environmental monitoring, and invasive species identification. He has developed innovative algorithms and data systems, integrating Python, MongoDB, and GIS tools to enhance detection and classification capabilities. Daniel also brings a background in teaching, with positions at Pace University, Columbia University, and other institutions, where he has contributed to STEM education through hands-on, technology-focused learning experiences. In addition to his technical and educational roles, he has leadership experience managing an FCC-licensed radio station, WHRW 90.5 FM, where he improved operations, training, and community engagement.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Daniel Kadyrov is a highly qualified candidate with extensive technical experience in sensor technology, acoustics, and machine learning, showcasing a broad expertise applicable to the “Best Researcher Award.” His research work, particularly in sensor development, signal processing, and acoustic detection systems, directly aligns with innovation and application, essential attributes for the award.

Education

  • Stevens Institute of Technology, Charles V. Schaefer, Jr. School of Engineering & Science
    • Ph.D. Candidate in Ocean Engineering, 2022–2024 (expected)
    • M.S. in Computer Science (Machine Learning and Data Science), 2021
  • Binghamton University, Watson School of Engineering
    • M.S. in Mechanical Engineering (Acoustics and Dynamic Systems), 2016
    • B.S. in Mechanical Engineering, 2015

Technical Experience

  • National Urban Security Technology Laboratory, Department of Homeland Security
    • Position: General Engineer
    • Location: New York, NY
    • Duration: June 2024 – Present
  • Sensor Technology & Applied Research Center, Stevens Institute of Technology
    • Position: Research Engineer – Acoustics, Sensors, and Software Development
    • Location: Hoboken, NJ
    • Duration: May 2019 – December 2024
    • Responsibilities: Conducted field tests on sensors for applications in environment monitoring, drone detection, and data fusion for machine learning applications. Managed large-scale datasets and developed backend and frontend systems for data visualization and management.
  • Weidlinger Applied Science, Thornton Tomasetti
    • Position: Senior Engineer – Acoustics and Software Development
    • Location: New York, NY
    • Duration: January 2017 – November 2018
    • Responsibilities: Maintained and updated simulation programs and developed GUI applications for engineering and insurance purposes, involving acoustics and structural simulations.
  • Acoustic Core, Binghamton University
    • Position: Research Assistant – Acoustics
    • Location: Binghamton, NY
    • Duration: June 2014 – August 2014
    • Responsibilities: Prepared anechoic chamber for acoustic research and programmed automation tools for data analysis.

Teaching Experience

  • Pace University
    • Position: Adjunct Professor – Computer Information Systems
    • Duration: September 2023 – Present
  • Columbia University
    • Position: Pre-College Instructor – Introduction to Programming with Python, Introduction to Engineering
    • Duration: June 2023 – Present
  • ScholarStem Tech Builders Club
    • Position: STEM Group Teacher (Ages 6-12)
    • Duration: September 2022 – June 2023
  • Eleanor Roosevelt High School
    • Position: STEM Group Advisor and Tutor
    • Duration: September 2022 – Present
  • Chess at Three
    • Position: Individual and Group Tutor (Ages 3-10)
    • Duration: January 2022 – June 2023
  • Harpur College, Binghamton University
    • Position: Teaching Assistant and Lab Assistant (MIDI Course and Lab)
    • Duration: September 2012 – May 2015

Publication top Notes:

Vibro-Acoustic Signatures of Various Insects in Stored Products

Stevens Passive Acoustic Detection System (SPADES-2) and its prospective application for windfarm underwater noise assessment

Improvements to the Stevens drone acoustic detection system

Low-cost multimodal integrated marine surveillance system

Ms. Lisanne Bergefurt | Sound masking sensors | Best Researcher Award

Ms. Lisanne Bergefurt | Sound masking sensors | Best Researcher Award

Ms. Lisanne Bergefurt, Eindhoven University of Technology, Netherlands

Dr. Lisanne Bergefurt is an Assistant Professor specializing in Healthy Workplaces at Eindhoven University of Technology. She completed her Ph.D. in Real Estate Management and Development with cum laude distinction, focusing on the physical workplace as a resource for mental health. Her thesis explored salutogenic approaches to designing healthy workplaces for both office and home environments. Dr. Bergefurt also holds an MSc in Urban Systems and Real Estate and a BSc in Building Sciences from Eindhoven University of Technology, both with cum laude honors. Additionally, she participated in an Erasmus Exchange program at Chalmers University of Technology in Sweden, where she excelled in Project Management and Design. Her research interests lie at the intersection of workplace design, mental health, and urban planning, aiming to enhance life satisfaction through improved public and private spaces.

Professional Profile:

 

SCOPUS

 

ORCID

 

Summary of Suitability for Best Researcher Award

Lisanne Bergefurt is an Assistant Professor specializing in Healthy Workplaces at Eindhoven University of Technology. Her educational background includes a PhD in Real Estate Management and Development, MSc in Urban Systems and Real Estate, and various other qualifications in related fields.

Education:

  • PhD in Real Estate Management and Development (cum laude)
    • January 2020 – December 2023
    • Design and Decision Support Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
    • Thesis: “The physical workplace as a resource for mental health – A salutogenic approach to a healthy workplace design at the office and at home”
  • MSc in Urban Systems and Real Estate (cum laude)
    • September 2017 – November 2019
    • Architecture Building and Planning, Eindhoven University of Technology, Eindhoven, the Netherlands
    • Thesis: “Public space use and life satisfaction – A path analysis on the effects of public space use on loneliness and life satisfaction in a middle-sized Dutch city”
  • Erasmus Exchange MSc in Project Management and Design (cum laude)
    • September 2018 – February 2019
    • Design and Construction Project Management, Chalmers University of Technology, Gothenburg, Sweden
  • BSc in Building Sciences
    • September 2014 – July 2017
    • Architecture, Urbanism and Building Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands
  • VWO in Natuur en Techniek, Natuur en Gezondheid (pre-university)
    • September 2008 – June 2014
    • Sondervick College, Veldhoven, the Netherlands

Work Experience:

  • Assistant Professor Healthy Workplaces

 

Publication top Notes:

The interplay of workplace satisfaction, activity support, and productivity support in the hybrid work context

Level-adaptive sound masking in the open-plan office: How does it influence noise distraction, coping, and mental health?

How salutogenic workplace characteristics influence psychological and cognitive responses in a virtual environment

Perceived health and productivity when working from home during the COVID-19 pandemic

How physical home workspace characteristics affect mental health: A systematic scoping review

The business case for a healthy office; a holistic overview of relations between office workspace design and mental health