Sogand Dehghan | Social Network Analysis | Best Researcher Award

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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. Bhavana Kaushik | Image Processing | Best Researcher Award |

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Dr. Bhavana Kaushik | Image Processing | Best Researcher Award

Assistant Professor at University of Petroleum and Energy Studies, India.

Dr. Bhavana Kaushik is a dynamic academician, researcher, and technology leader with over a decade of experience in teaching, research, and innovation. She currently serves as an Assistant Professor at the University of Petroleum and Energy Studies (UPES), Dehradun. With a deep commitment to blending technology with societal transformation, Dr. Kaushik is actively involved in projects that promote digital inclusion, women’s empowerment, and entrepreneurship. Her interdisciplinary expertise spans computer vision, artificial intelligence, data science, and sustainable development. In addition to her academic accomplishments, she also holds leadership roles such as the State President (Uttarakhand) for the Information Technology Council under WICCI, where she champions women in technology across the state.

Professional Profile

Scopus

Orcid

Google Scholar

🎓 Education 

Dr. Kaushik is currently pursuing her Ph.D. in Computer Vision and Image Processing at UPES, Dehradun, where her research explores the intersection of artificial intelligence and visual computing. She holds a Master of Technology (M.Tech) in Computer Science from GLA University, Mathura, where she graduated with a Silver Medal and an impressive CGPA of 9.34. Her foundational education includes a Bachelor of Technology (B.Tech) in Computer Science and Engineering from Uttar Pradesh Technical University, graduating with distinction. She also excelled in her secondary and higher secondary schooling under the ICSE and CBSE boards.

💼 Experience 

Dr. Kaushik brings over 10 years of diverse experience across academia and industry. She has served as an Assistant Professor at UPES since 2018, where she teaches core computer science subjects and mentors student projects. Prior to this, she worked as a Systems Engineer at Infosys Limited, Pune, where she gained hands-on experience in Python programming, mainframe technologies, and application development. She also contributed to academia as a Teaching Assistant at GLA University. Her roles have included curriculum development, lab modernization, academic administration, and leadership of student societies and hackathons. Additionally, she leads women-in-tech initiatives as the WICCI State President (Uttarakhand) for the IT Council.

🔬 Research Interests

Dr. Kaushik’s research primarily centers around Computer Vision, Image Processing, and the application of Artificial Intelligence in Medicine, Surveillance, and Socioeconomic Development. Her work includes medical image compression, object tracking in videos, solar flare classification, and deepfake detection. She has also contributed to impactful research in rural development and digital empowerment through ICT tools. Her current pursuits explore the integration of AI technologies within healthcare imaging and metaverse environments, reflecting her commitment to high-impact, interdisciplinary research.

🏆 Honors & Awards

Dr. Kaushik’s academic journey is marked by notable accolades. She has been awarded a Silver Medal for her M.Tech performance and consistently topped her class in B.Tech. She is a qualified NET and GATE candidate (multiple years), which reflects her academic rigor. As an International Speaker at the Women Economic Forum – ASEAN 2025 and a regular contributor to national development programs funded by DST, she continues to receive recognition for both scholarly and social innovation contributions.

Top Noted Publications:

Title: Computational Intelligence‐Based Method for Automated Identification of COVID‐19 and Pneumonia by Utilizing CXR Scans
Authors: B. Kaushik, D. Koundal, N. Goel, A. Zaguia, A. Belay, H. Turabieh
Citations: 8
Index: Computational Intelligence and Neuroscience
Year of Publication: 2022

Title: Investigation of Solar Flare Classification to Identify Optimal Performance
Authors: A. Kakde, D. Sharma, B. Kaushik, N. Arora
Citations: 6
Index: ELCVIA Electronic Letters on Computer Vision and Image Analysis
Year of Publication: 2021

Title: A Context Based Tracking for Similar and Deformable Objects
Authors: B. Kaushik, M. Kumar, C. Bhatanagar, A.S. Jalal
Citations: 5
Index: International Journal of Computer Vision and Image Processing (IJCVIP)
Year of Publication: 2018

Title: Intelligent Interactions: Exploring Human–Computer Interaction in the Metaverse Through Artificial Intelligence
Author: B. Kaushik
Citations: 3
Index: Understanding the Metaverse (Springer Book Chapter)
Year of Publication: 2024

Conclusion:

Dr. Bhavana Kaushik exemplifies the modern academic researcher — technically proficient, socially responsible, and future-focused. Her balanced contributions to both scholarly research and community development make her a valuable asset to the academic and innovation ecosystem. With her ongoing Ph.D., growing list of high-impact publications, and active role in promoting women in STEM, she stands out as an ideal candidate for recognition such as the Best Researcher Award. Her journey reflects a perfect harmony between academic depth, leadership, innovation, and empowerment.

Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award |

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Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award | 

Professor , at lovely Professional University, India.

Prof. (Dr.) Harpreet Kaur is a distinguished academician and researcher in Computer Science & Engineering, specializing in Digital Image Processing and Image Retrieval. She is currently a Professor at Lovely Professional University, Phagwara, Punjab, with over two decades of experience in teaching, research, and academic leadership. Her expertise spans various domains of emerging technologies, and she has significantly contributed to academia through research, mentorship, and administrative roles.

Professional Profile

Scopus

Orcid

Google Scholar

Education 🎓

Prof. Kaur holds a Bachelor of Technology (B.Tech) in Computer Science & Engineering, followed by a Master of Technology (M.Tech) in Information Technology. She further pursued her Doctor of Philosophy (Ph.D.) in Computer Science & Engineering, solidifying her expertise in advanced computing and digital technologies. Her strong academic background has enabled her to lead research initiatives and mentor scholars in her domain.

Professional Experience 💼

With an illustrious career spanning over 20 years, she has held various leadership roles, including Head of Department (CSE), Deputy Dean Academics, and Convener of multiple national and international conferences. She has contributed to the academic ecosystem through faculty development programs, workshops, and research conferences, fostering knowledge-sharing and skill development in the field of engineering and technology.

Research Interests 🌍

Her research primarily revolves around Digital Image Processing, Image Retrieval, Artificial Intelligence, and Emerging Technologies. With a passion for innovation, she has actively contributed to cutting-edge research by publishing over 70+ papers in international conferences and journals, along with 25 national-level research publications. Her expertise extends beyond theoretical research, as she has successfully published more than 15 patents, showcasing her commitment to applied research and technological advancements.

Awards & Honors 🏆

Prof. Kaur’s contributions have been widely recognized through multiple prestigious awards, including the Best Paper Presentation Award (Dubai, 2019), Quality Education Leadership Award (2020), International Teaching Excellence Award (2021), International Distinguished Teacher Award (2023), and the International Research Excellence Award (2024-25). These accolades highlight her excellence in both research and academia.

Top Noted Publications 📚

Synthesis and characterization of ZIF-8 nanoparticles for controlled release of 6-mercaptopurine drug – H. Kaur, G.C. Mohanta, V. Gupta, D. Kukkar, S. Tyagi – 363 citations – Journal of Drug Delivery Science and Technology – 2017

Electrochemical synthesized copper oxide nanoparticles for enhanced photocatalytic and antimicrobial activity – R. Katwal, H. Kaur, G. Sharma, M. Naushad, D. Pathania – 356 citations – Journal of Industrial and Engineering Chemistry – 2015

Image fusion techniques: a survey – H. Kaur, D. Koundal, V. Kadyan – 319 citations – Archives of Computational Methods in Engineering – 2021

Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential – G. Nagpal, S.S. Usmani, S.K. Dhanda, H. Kaur, S. Singh, M. Sharma – 275 citations – Scientific Reports – 2017

Posttraumatic stress disorder in maltreated youth: A review of contemporary research and thought – C.A. Kearney, A. Wechsler, H. Kaur, A. Lemos-Miller – 267 citations – Clinical Child and Family Psychology Review – 2010

Conclusion

Prof. (Dr.) Harpreet Kaur has strong credentials for the Best Researcher Award, particularly due to her extensive research output, innovation through patents, academic leadership, and multiple recognitions. Strengthening international collaborations, securing research grants, and publishing in high-impact factor journals can further enhance her candidacy for elite research awards.