Sogand Dehghan | Social Network Analysis | Best Researcher Award

Ms. Sogand Dehghan | Social Network Analysis | Best Researcher Award

University Lecturer | K. N. Toosi University of Technology | Iran

Ms. Sogand Dehghan is a dedicated Data Analyst and IT Specialist with strong expertise in data mining, machine learning, text mining, social network analysis, and software development. She specializes in collecting, cleaning, and analyzing large-scale datasets to create insightful reports and dashboards that support organizational decision-making. Her work bridges academia and industry, with contributions spanning research, teaching, and practical implementation of data-driven solutions. She is particularly passionate about analyzing social media networks to align with organizational objectives and developing innovative tools that integrate analytics with business strategies.

Professional Profile

Scopus | Orcid | Googlescholar

Education

Ms. Dehghan earned her Master’s degree in Information Technology from K. N. Toosi University of Technology, where she conducted advanced research on social media user evaluation using machine learning techniques. She also holds a Bachelor’s degree in Information Technology from Payame Noor University. Her academic training has equipped her with a strong foundation in data visualization, machine learning, text mining, and database management, supported by proficiency in multiple programming and analytical tools.

Experience

Ms. Dehghan has served in both academic and industrial roles. In academia, she has worked as a Lecturer at the National Skills University, teaching advanced programming and mentoring students in data analytics. In the industrial sector, she has held positions as Data Analyst and Software Developer at GAM Arak Industry and Kherad Sanat Arvand, where she utilized tools such as Power BI, Python, SQL Server, and SSRS to develop interactive dashboards, predictive models, and enterprise applications. Her professional background demonstrates her ability to translate research concepts into scalable industry solutions.

Research Interests

Her research interests lie in credibility assessment of social network users, big data analytics, and text mining. She focuses on integrating heterogeneous data sources, such as social media profiles and scholarly databases, to assess user trustworthiness for organizational purposes. She also investigates emerging research trends in library and information science using text mining approaches, contributing to the identification of new and impactful academic domains.

Honors

Ms. Dehghan has been recognized for her innovative contributions to machine learning-based social media analysis and her ability to apply academic research in real-world industrial projects. Her research has been published in well-regarded, peer-reviewed journals and indexed in major databases such as Scopus, reflecting the impact and relevance of her work.

Top Noted Publications

The credibility assessment of Twitter/X users based on organizational objectives by heterogeneous resources in big data life cycle – 2 citations, Scopus index, 2025

The text mining approach to investigate active areas of library and information science and discover emerging topics – 1 citation, Scopus index, 2024

The main components of evaluating the credibility of users according to organizational goals in the life cycle of big data – 1 citation, Scopus index, 2023

Main components of user credibility assessment according to organizational goals in the big data – Scopus index

Conclusion

Ms. Sogand Dehghan exemplifies a professional who seamlessly integrates academic research excellence with industry-driven solutions. Her expertise in data analytics, software development, and social network analysis positions her as a valuable contributor to both research and practical innovation. Through her work, she has advanced the understanding of social media credibility assessment, big data life cycle management, and emerging trends in information science. With her continuous pursuit of impactful research and her ability to bridge theory with application, she is poised to make further significant contributions to the fields of data science and information technology.

Dr. Smriti Mathur | Consumer Behavior | Best Researcher Award |

Dr. Smriti Mathur | Consumer Behavior | Best Researcher Award

Assistant Professor at Christ University, India.

Dr. Smriti Mathur is an accomplished academic and researcher, currently serving as an Assistant Professor of Marketing at Christ University, Delhi NCR Campus, Ghaziabad. With over 9 years of progressive experience in teaching, research, and academic administration, she brings a dynamic perspective to the field of marketing. Her work bridges traditional marketing practices with modern innovations, including digital transformation, neuromarketing, and consumer psychology. She is highly recognized for her contributions to green marketing, AI-driven consumer insights, and student-centric research initiatives.

Professional Profile

Scopus

Orcid

Google Scholar

🎓 Education 

Dr. Mathur earned her Ph.D. in Commerce (Marketing) from the University of Lucknow in 2019, with a dissertation focusing on consumer and marketer perspectives toward green marketing in the cosmetic industry. She qualified for UGC-NET in Commerce in 2014. Her academic journey includes a Master’s in Commerce (Applied Economics) and a Bachelor’s in Commerce (Hons.), both from the University of Lucknow. She also holds a strong academic background from school, having secured high scores in 10th and 12th grades from Lucknow Public School.

💼 Experience 

Dr. Mathur has held faculty positions at prestigious institutions including Christ University, IMS Ghaziabad, Amity University Madhya Pradesh, Babu Banarasi Das University, and University of Lucknow. She has taught a diverse range of courses such as Digital Marketing, Consumer Behaviour, Marketing Management, Neuro Marketing, and International Business. She has also played key academic administrative roles—serving as faculty coordinator, fest organizer, research mentor, and quality assurance lead (NAAC and AACSB standards). Her academic leadership is well complemented by her engagement in organizing national and international events, FDPs, and workshops.

🔬 Research Interests

Dr. Mathur’s research primarily revolves around Consumer Behavior, Digital and Green Marketing, Educational Technologies, Artificial Intelligence in Marketing, and Sustainability Communication. She employs advanced analytical techniques, such as Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN), in her investigations. Her interdisciplinary interests also span user-generated content, online learning behavior, augmented and virtual reality, and the integration of ChatGPT and AI tools in communication and education.

🏆 Honors & Awards

Dr. Mathur has received multiple accolades, including the Research Excellence Award and Innovation Award at Christ University (2023–24). She has also been honored with Best Research Paper Awards for her impactful studies on the COVID-19 impact on tourism and service marketing in education. These recognitions reflect her commitment to excellence and her significant contributions to the academic community.

Top Noted Publications:

Title: Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach
Authors: A. Tewari, S. Mathur, S. Srivastava, D. Gangwar
Citations: 139
Journal/Index: Journal of Retailing and Consumer Services
Year: 2022

Title: Educational Practices during the COVID-19 Viral Outbreak: International Perspectives
Authors: I. Sahin, M. Shelley
Citations: 87
Journal/Index: International Society for Technology, Education, and Science
Year: 2020

Title: Modeling the factors affecting online purchase intention: the mediating effect of consumer’s attitude towards user-generated content
Authors: S. Mathur, A. Tewari, A. Singh
Citations: 82
Journal/Index: Journal of Marketing Communications
Year: 2022

Title: Continuous epidural infusion vs programmed intermittent epidural bolus for labour analgesia: a prospective, controlled, before-and-after cohort study of labour outcomes
Authors: A. Bullingham, S. Liang, E. Edmonds, S. Mathur, S. Sharma
Citations: 60
Journal/Index: British Journal of Anaesthesia
Year: 2018

Conclusion:

With a rich blend of academic insight, practical teaching experience, and impactful research, Dr. Smriti Mathur stands out as a leading scholar in contemporary marketing and consumer behavior. Her contributions to green and digital marketing, innovative teaching methodologies, and academic leadership make her a deserving candidate for prestigious research awards and recognitions. She continues to inspire students and peers alike with her dedication, interdisciplinary approach, and pursuit of academic excellence.