Sugandh Arora | Business Economics | Best Researcher Award

Assist Prof Dr. Sugandh Arora | Business Economics | Best Researcher Award

Assist Prof Dr. Sugandh Arora, Ajeenkya DY Patil University, Pune, India

Assist. Prof. Dr. Sugandh Arora is a PhD graduate in Management from Lovely Professional University (2018-2022), with a thesis titled “A Study on Effectiveness of Household Food Security in Punjab.” She holds a Masters in Business Economics from GGDSD College, Chandigarh, and a Bachelors in Business Administration from DAV College, Jalandhar. Currently serving as an Assistant Professor at Ajeenkya DY Patil University (since March 2024), Dr. Arora provides academic insights in economics and entrepreneurship. Her research focuses on food security, remittances, and productivity growth, with papers under review in Scopus-indexed journals.

Publication profile

Scopus

Google Scholar

Research Focus and Expertise

Dr. Sugandh Arora specializes in Development Economics, Household Food Security, Public Distribution Systems, and Policy Framing. Her research addresses critical issues such as food security and economic vulnerability, with significant contributions to understanding the impacts of blockchain technology on sustainable food security and the effectiveness of household food security systems in Punjab. These areas of focus demonstrate her expertise in addressing contemporary challenges in economic policy and development.

Education and Academic Qualifications

Dr. Arora holds a Ph.D. in Management from Lovely Professional University, with a thesis on the effectiveness of household food security. Her educational background includes a Master’s in Business Economics and a Bachelor’s in Business Administration. This solid academic foundation supports her advanced research in economics and policy.

Professional Experience

Dr. Arora’s professional journey includes roles as an Assistant Professor at Ajeenkya DY Patil University and Sharda University, where she has been involved in teaching, academic events, and research committees. Her previous experience as a Guest Lecturer and Assistant Professor further underscores her dedication to academia and research.

Conferences and Seminars

Dr. Arora has presented her research at various international conferences and seminars, receiving recognition for her work on blockchain technology and sustainable food security. Her active participation in academic events reflects her commitment to advancing her field and engaging with the broader research community.

Skills and Review Contributions

Dr. Arora possesses skills in data analysis, academic writing, and public speaking, supported by her experience in reviewing for international journals such as International Journal of Quality & Reliability Management and Journal of Public Affairs. Her ability to conduct high-quality scientific research and her proficiency with statistical and qualitative tools are notable.

Publication Top Notes  

  • Blockchain Adoption in Banking Systems: A Boon or Bane? (S Arora, T Nabi) 📊 – Cited by 12 (2022)
  • Determinants affecting household food security in India: a critical review (S Arora, T Nabi) 📉 – Cited by 4 (2022)
  • Blockchain Technology: A Double-Edged Sword when it Comes to Sustainable Food Security (S Arora, T Nabi, M Bhardwaj) 🍽️ – Cited by 2* (2023)
  • A Systematic Review on Indian Food Security Systems and Food Assistance Programmes (FAPs) in the Context of the COVID-19 Pandemic (S Arora, T Nabi, V Sarin) 🦠 – Cited by 1 (2023)
  • An examination of the pricing of IPOs: The Indian perspective (R Raut, A Deshpande, S Arora, A Mittal, R Alandikar) 📈 – Cited by 1 (2022)
  • Inchoate disaster of COVID-19: A systematic review on risk factors triggering morbidity and fatality progression (S Oberoi, P Kansra, V Awasthi, S Arora) 🦠 – Cited by 1 (2021)
  • How does blockchain impact sustainable food security? Insights from literature review (S Arora, S Oberoi, T Nabi, B Verma) 🔗(2024)
  • Prevalence of Household Food Security and Health-related Quality of Life: Special Consideration on the Expectant Mothers in Punjab (S Arora, T Nabi, S Oberoi, V Awasthi) 🤰  (2024)
  • What Do We Know About Artificial Intelligence and Blockchain Technology Integration in the Healthcare Industry? (S Oberoi, S Arora, B Verma, KK Roy) 🤖 (2024)
  • A study on effectiveness of household food security in Punjab (S Arora) 🏡 (2022)


Conclusion

Dr. Sugandh Arora’s impressive academic qualifications, extensive research contributions, and active engagement in conferences and seminars position her as a strong candidate for the “Best Researcher Award.” Her work in development economics and food security, combined with her professional experience and skills, aligns well with the criteria for recognizing outstanding research achievements.

Yi-Ting Chen | Business | Best Researcher Award

Yi-Ting Chen | Business | Best Researcher Award

Mr Yi-Ting Chen, National Yang Ming Chiao Tung University, Taiwan

Yi-Ting Chen appears to be a strong candidate for the Best Researcher Award based on the provided details.

Publication profile

google scholar

Education

  • National Yang Ming Chiao Tung University: MBA with a high GPA and top placement in the first semester.
  • Tamkang University: B.B.A. in International Business with notable awards.
  • Queensland University of Technology: Exchange program with a focus on data analysis and finance.

Work Experience

  • Hewlett Packard Enterprise: Led projects on server standardization and process optimization.
  • Nan Shan Life Insurance: Worked on integrating policy information and UI/UX design.
  • BenQ Corporation: Experience in marketing, data analysis, and content creation.

Certifications & Awards

  • IELTS: High proficiency in English.
  • Academic Excellence Awards: Demonstrates high academic performance.
  • Publications: Multiple significant contributions in conferences and journals, with topics ranging from computer vision to robotics.

Research Contributions

  • Publications: Notable papers in high-impact conferences like IEEE CVPR and ICRA. Topics include object detection, driver behavior analysis, and real-time visual SLAM.
  • Patents: Two patents on systems for semantic segmentation and generating parking maps.

Skills

  • Proficient in languages and technical skills like Python, R, and data analysis tools.

Analysis

Yi-Ting Chen’s extensive research publications, patents, and industry experience align well with the criteria for the Best Researcher Award. His work demonstrates a strong impact on fields such as computer vision, robotics, and AI, showcasing his ability to innovate and contribute significantly to his areas of expertise.

Recommendation: Given Yi-Ting Chen’s impressive academic background, practical experience, and notable research contributions, he is a highly suitable candidate for the Best Researcher Award. His achievements in both research and industry reflect a high level of expertise and innovation.

Publication top notes

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

The H3D Dataset for Full-Surround 3D MultiObject Detection and Tracking in Crowded Urban Scenes

Temporal recurrent networks for online action detection

Multi-Instance Object Segmentation With Occlusion Handling

Grounding human-to-vehicle advice for self-driving vehicles

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Monocular Localization in Urban Environments using Road Markings

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks

Systems for generating parking maps and methods thereof

Systems for performing semantic segmentation and methods thereof