Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

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Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnam’s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

🎓 Education

  • 📘 Ph.D. in Finance – Lincoln University, Canterbury, New Zealand (April 2013)

  • 📗 Master of Management – University of the Philippines, Los Baños (June 2003)

  • 📕 B.Sc. in Finance – Can Tho University, Viet Nam (September 1999)

👨‍🏫 Work Experience

  • 🧑‍🏫 Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020–present)

  • 📚 Lecturer, Department of Finance and Banking, Can Tho University (2012–present)

  • 📖 Lecturer, Department of Economics, Can Tho University (2005–2012)

  • 📖 Lecturer, Agricultural Economics, Can Tho University (2003–2005)

  • 🔬 Research Assistant & 👨‍🏫 Teaching Assistant, Commerce Division, Lincoln University (2011)

🏆 Achievements & Recognitions

  • 📖 Published Author of multiple Vietnamese books on finance and economics

  • 📘 Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • 💼 Policy Influence through development strategies funded by national and provincial governments

  • 🌱 Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publication Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award

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Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award 

Dr. Tahera Kalsoom, Manchester Metropolitan University, United Kingdom

Dr. Tahera Kalsoom is a dedicated lecturer and researcher with over five years of experience in teaching undergraduate and postgraduate courses. She has supervised more than 100 theses and published 14 articles in leading journals and conferences. Her research focuses on the Internet of Things (IoT), Industry 4.0/5.0, data analytics, digitalization, firm performance, and technology management. Dr. Kalsoom holds a Ph.D. in Computing, Engineering, and Physical Sciences from the University of the West of Scotland, where her thesis explored the impact of IoT and dynamic data processing on firm performance. She has also earned an MSc in Financial Management from Middlesex University and a BBA in International Hospitality Management from Stenden University. In addition to her teaching roles at Manchester Metropolitan University and other institutions, Dr. Kalsoom actively contributes to the academic community as a reviewer for various journals and conferences, including IEEE and Wiley & Sons. She is a member of several professional organizations, including IEEE, the British Academy of Management, and the American Finance Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Tahera Kalsoom

Dr. Tahera Kalsoom is highly suitable for the Best Researcher Award based on her outstanding interdisciplinary research profile, international academic exposure, and clear contributions to emerging domains such as the Internet of Things (IoT), Industry 4.0/5.0, and Data Analytics. With a Ph.D. from a reputable UK institution and over 14 research publications in well-regarded journals and conferences, she demonstrates a consistent research trajectory aligned with modern technological transformations impacting firm performance and digitalisation.

🎓 Education

  • PhD in Computing, Engineering and Physical Sciences
    University of the West of Scotland, Glasgow, UK (2017–2021)
    📘 Thesis: Impact of the Use of IoT, Visibility and Dynamic Data Information Processing Capabilities on Firm Performance

  • MSc in Financial Management
    Middlesex University, London, UK (2014–2015)
    📘 Thesis: Performance of banks after the financial recession, a study of market trends

  • BBA (Hons) in International Hospitality Management
    Stenden University, Qatar (2006–2010)
    📘 Dissertation: Performance analysis of Vodafone call centre in Doha

💼 Professional Experience

  • Lecturer
    Manchester Fashion Institute, MMU, UK (2022–Present)
    📊 Teaching Business Analytics, Strategic Fashion Management, supervising PG students, and PhD co-supervision.

  • Associate Lecturer
    Arden University, Manchester, UK (2022)
    🖥️ Delivered courses on Data Analytics, Operations Management, and Digital Supply Chain 4.0.

  • Research Assistant
    University of the West of Scotland, UK (2021–2022)
    🧠 Contributed to IoT frameworks for EU projects ATHIKA and Safe-RH.

  • Associate Lecturer
    UWS, School of Business and Creative Industries (2020–2021)
    🧾 Delivered tutorials and designed assessments in Operations Management.

  • Lecturer
    ICON College, London, UK (2019–2020)
    🌐 Led IoT module, attended exam boards, and taught Project Management & Strategic Management.

  • Lecturer
    St. Patrick’s College, London, UK (2018–2019)
    🏫 Delivered lectures in HR, Leadership, and Operations Management.

  • Assistant Manager
    M.H. AL-Muftah Est., Doha, Qatar (2016–2017)
    📈 Handled payroll, financial audits, and reporting.

  • Payroll Administrator
    Hamad Int. Airport Project, Civil Aviation Authority, Qatar (2010–2014)
    💼 Managed payroll processing, appraisals, and timesheets.

🌟 Key Achievements

  • 📚 Supervised 100+ UG and PG theses

  • 📝 Published 14 research articles in reputable journals and conferences

  • 🔍 Regular reviewer for journals such as IEEE Access, IEEE Sensors Journal, Sensors (MDPI), Sustainability, and Wiley Books

  • 🎤 TPC Member for IEEE CAMAD, BAM, LRN, and UK-China Emerging Tech Conference

  • 🧑‍🏫 Module Leader and Exam Board Member at ICON and St. Patrick’s Colleges

  • 📦 Developed modules on IoT and Digital Supply Chain 4.0

🏅 Awards & Honours

  • 🥇 Merit Award – Top 20 MSc students, Middlesex University

  • 🏆 Distinction Award – Top 10 in BBA, Stenden University

  • 🎓 First Class Scholarship – Stenden University

  • 📜 Roll of Honour – Top 20 in HSSC, PEC Doha

Publication Top Notes:

Advances in sensor technologies in the era of smart factory and industry 4.0

CITED:325

Impact of IoT on manufacturing industry 4.0: A new triangular systematic review

CITED:112

Towards supply chain visibility using internet of things: A dyadic analysis review

CITED:107

IoT for 5G/B5G applications in smart homes, smart cities, wearables and connected cars

CITED:46

Market orientation and SME performance: Moderating role of IoT and mediating role of creativity

CITED:43

Millimeter-wave smart antenna solutions for URLLC in industry 4.0 and beyond

CITED:42

 

 

 

Dr. Alexandr Volvkov | Oxidation Sensor | Best Researcher Award

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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

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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