Dr. Alexandr Volvkov | Oxidation Sensor | Best Researcher Award

Dr. Alexandr Volvkov | Oxidation Sensor | Best Researcher Award 

Dr. Alexandr Volvkov, Institute of High Temperature Electrochemistry of the Ural Branch of the Russian Academy of Sciences, Russia

Dr. Alexander N. Volkov , in Luckenwalde, Germany) is a distinguished chemist specializing in gas sensor development. He earned his Ph.D. in Chemistry in 1980 from the Institute of High Temperature Electrochemistry of the Ural Scientific Center of the Academy of Sciences of the USSR. His research focuses on solid-electrolyte electrochemical gas sensors, gas diffusion studies, and analytical methods for measuring gas humidity. Over his career, he has held key positions at JSC SoyuzCMA (1974–1994), Atomnadzor (1994–2011), and currently serves at the Institute of High Temperature Electrochemistry of the Ural Branch of the Russian Academy of Sciences.

Professional Profile:

ORCID

SCOPUS

Suitability for the Best Researcher Award

Dr. Alexander N. Volkov is a seasoned researcher with extensive experience in the field of high-temperature electrochemistry, gas sensors, and electromagnetics. His research contributions span multiple decades, including original developments in gas sensing technologies, analytical methods, and antenna design.

🎓 Education:

  • Ural Polytechnic Institute named after S.M. Kirov (1969)
  • Postgraduate Training: Institute of High Temperature Electrochemistry, Ural Scientific Center, Academy of Sciences of USSR (1976-1979)
  • Ph.D. in Chemistry (1980) 🏅
    • Dissertation: Development of oxygen and chemical combustion sensors for ferrous and non-ferrous metallurgy

💼 Work Experience:

  • 1974 – 1994: JSC Soyuztsvetmetavtomatika (JSC SoyuzCMA) 🏭
  • 1994 – 2011: Federal State Unitary Enterprise «Atomnadzor» ⚛️
  • 2011 – Present: Institute of High Temperature Electrochemistry (IHTE UB RAS) 🔬

🏆 Achievements & Scientific Contributions:

  • Development of gas sensors based on solid-electrolyte electrochemical cells 🌡️
  • Research on gas diffusion and analytical methods for measuring gas humidity 💨
  • Innovative amperometric & potentiometric sensors for gases such as hydrogen, oxygen, carbon monoxide & dioxide, methane, and ammonia 🛠️
  • Designed original sensors to measure humidity in inert gases & air at high temperatures 🔥

🎖 Awards & Honors:

  • Recognized expert in solid-state electrochemical sensing 🏅
  • Contributor to advancements in high-temperature electrochemistry 🌍
  • Active researcher at IHTE UB RAS with significant contributions to industrial applications 🏭

Publication Top Notes:

Mechanically Reconfigurable Dielectric Resonator Antenna

A low‐profile dual‐band shared‐aperture antenna based on AMC with semitransparent elements

 

A FULL-WAVE SIMULATION OF ONBOARD EARTH SURVEILLANCE RADAR ELECTROMAGNETIC FIELDS FOR AN EMC ENSURING

 

WIDEBAND LOW-PROFILE DUAL-POLARIZED ANTENNA WITH AMC REFLECTOR

 

A low‐profile dual‐band shared‐aperture antenna based on artificial magnetic conductor with transparent elements

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

  • 1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
  • 2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
  • 2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

  • Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
  • Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • 2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
  • 2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

  • 2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
  • Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
  • Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
  • Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

CITED:195

Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

CITED:156

R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

CITED:153