Roshni Singh | Computer Vision | Best Researcher Award

Ms. Roshni Singh | Computer Vision | Best Researcher Award

Ms. Roshni Singh | Computer Vision | Best Researcher Award

Delhi Technological University, India

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๐ŸŽ“ Early Academic Pursuits

Ms. Roshni Singh began her academic journey with a strong foundation in Information Technology, earning her Bachelor of Technology from Sri Sai College of Engineering & Technology, Pathankot, with a commendable score of 75%. Her pursuit of deeper knowledge led her to complete her Master of Technology in Computer Science and Engineering from Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, securing 77.2%. With a vision to contribute to innovative technologies, she is currently pursuing a Ph.D. in Software Engineering at Delhi Technological University (DTU), New Delhi, focusing on Human Activity Recognition in Computer Vision since January 2022.

๐Ÿ’ผ Professional Endeavors

Ms. Singh has garnered valuable academic and industrial experience. She worked as an Assistant Professor (Visiting Faculty) in the Computer Science and Engineering Department at Motilal Nehru National Institute of Technology (MNNIT), Allahabad from January 2019 to January 2022, where she actively engaged in mentoring students and research activities. Prior to academia, she contributed as a Software Developer at IBM Cloud, Gurgaon (2017โ€“2019), and Sysacs Tech Pvt. Ltd., Noida (2013โ€“2014), strengthening her expertise in real-world software systems.

๐Ÿ”ฌ Research Focus and Contributions

Ms. Singhโ€™s research interest lies in Computer Vision, Image Processing, Deep Learning, and Machine Learning. Her doctoral work targets Human Activity Recognition using deep learning techniques to improve surveillance and security systems. She has authored several high-impact publications in SCIE and Scopus-indexed journals and conferences. Notably, her work on ConvST-LSTM-Net and STAD-ConvBi-LSTM showcases advanced spatio-temporal modeling for abnormal activity detection. Her collaborations have resulted in recognition, including Best Paper Awards at ICICC-2025 and ICRAECA-2025.

๐ŸŒ Impact and Influence

Ms. Singh's publications reflect her contribution to both academic and applied research. Her work in journals such as the Journal of Visual Communication and Image Representation and the International Journal of Multimedia Information Retrieval is not only cited in academic circles but also relevant to industries working in surveillance and AI-based systems. Her active participation as a Ph.D. Representative, Research Council Group Member, and Joint Secretary of Reflect DTU highlights her commitment to fostering a strong research culture and academic governance.

๐Ÿ“š Academic Citations & Publications

Her most impactful papers include:

  • ConvST-LSTM-Net in International Journal of Multimedia Information Retrieval (IF 3.6)

  • STAD-ConvBi-LSTM in Journal of Visual Communication and Image Representation (IF 2.6)

  • Multiple conference papers awarded Best Paper Certificates
    Her citation count continues to grow, underscoring her role in advancing the field of intelligent systems and computer vision.

๐Ÿ’ป Technical Skills

Ms. Singh is proficient in Python, MATLAB, and cloud computing frameworks. Her development experience is backed by real-world projects, including website development for the Ministry of Road Transport & Highways and High-Performance Computing at IIT Delhi. Her hands-on approach in combining software engineering with AI research gives her a unique edge in her field.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

At MNNIT Allahabad, Ms. Singh contributed to teaching core computer science courses, while also mentoring students in project work and research writing. Her teaching philosophy emphasizes applied learning, fostering critical thinking and innovation in emerging areas like AI and cloud computing.

๐Ÿ† Accomplishments & Leadership Roles

Ms. Singh's achievements extend beyond research. She has:

  • Represented Ph.D. scholars in departmental meetings at DTU

  • Actively contributed to student development via training, placements, and workshops

  • Successfully anchored and coordinated Visions'24, a 24-hour hackathon

  • Volunteered in various university-level events, showcasing her organizational and leadership capabilities

๐Ÿงช Workshops and Faculty Development ๐ŸŽ“

She has upskilled through various FDPs and seminars, including:

  • Information Security and Privacy (ISP-2021) at MNNIT

  • Applied AI & ML with Python and MATLAB (AICTE Sponsored)

  • Cybercrime, NLP, Ethical Hacking, and IPR workshops
    These engagements reflect her ongoing commitment to academic growth and technological awareness.

๐ŸŒฑ Legacy and Future Contributions

Ms. Roshni Singh is poised to make long-term contributions in the intersection of AI, human-centric computing, and education. Her future aspirations include enhancing smart surveillance systems, mentoring young researchers, and fostering international collaborations. With a blend of industry expertise and academic depth, she is shaping up as a key influencer in AI research from India.

๐Ÿ“šย Selected Publications

  • Title: ConvST-LSTM-Net: Convolutional Spatiotemporal LSTM Networks for Skeleton-Based Human Action Recognition

  • Authors: R. Singh, A. Sharma

  • Journal: International Journal of Multimedia Information Retrieval

  • Year: 2023

  • Title: High-Performance Fuzzy Optimized Deep Convolutional Neural Network Model for Big Data Classification Based on the Social Internet of Things

  • Authors: B. Shaji, R.L.R. Singh, K.L. Nisha

  • Journal: The Journal of Supercomputing, Vol. 79 (9), pp. 9509โ€“9537

  • Year: 2023

  • Title: Privacy Preserving in TPA for Secure Cloud by Using Encryption Technique

  • Authors: R. Singh, S. Prakash

  • Journal: 2017 International Conference on Innovations in Information, Embedded and Communication Systems

  • Year: 2017

  • Title: Education and Learning: Preliminary Findings from the Young Lives Round 5 Survey in India

  • Author: R. Singh

  • Journal: Young Lives

  • Year: 2017

  • Title: Enhancement of Resource Allocation Using Load Balancing in Cloud Computing

  • Authors: R. Singh, S. Prakash

  • Journal: International Journal of Advanced Research in Computer Science, Vol. 8 (5)

  • Year: 2017

Marzieh Ronaghi | Governance, Environment, IT | Best Researcher Award

Dr. Marzieh Ronaghi | Governance, Environment, IT | Best Researcher Awardย 

University of virginia, United States

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๐Ÿ“š Early Academic Pursuits

Marzieh Ronaghi began her academic journey in Agricultural Economics, earning her Bachelorโ€™s degree in 2009, followed by a Master of Science degree in 2012. Her passion for the field led her to pursue a Ph.D. in Agricultural Economics-Production Management at Ferdowsi University, successfully completed in 2020. Her educational path reflects a consistent commitment to understanding the complex relationship between economics, agriculture, governance, and development.

๐Ÿข Professional Endeavors

Dr. Ronaghiโ€™s professional trajectory showcases an impressive blend of research, teaching, and applied consulting. She served as a postdoctoral researcher at Michigan State University (2022โ€“2024) focusing on governance and local government. She was a researcher at the University of Kentucky (2017โ€“2020) and contributed to the Kentucky Research Center in 2024. Currently, she is actively engaged in Local Government Financial Research and Consulting at the Weldon Cooper Center for Public Service at the University of Virginia. In addition to her academic career, she gained private sector experience as a Property Manager at Parisim Company in 2024.

๐Ÿงช Contributions and Research Focus

Dr. Ronaghi's research primarily focuses on agricultural governance, local government finance, production management, and environmental economics. Her dedication is evident through her numerous projects, notably her 2025 collaboration with Eric Scorsone on the validity and reliability of financial indices for local governments in Virginia. Her work bridges the gap between academic theory and real-world policy application, particularly in the realm of financial health assessment for local governments.

๐ŸŒŽ Impact and Influence

Marziehโ€™s scholarly contributions have influenced both academic circles and governmental practices. Through her research, she has helped policymakers better understand how financial indices can be crafted to reflect local governance realities. Her interdisciplinary work integrating economics, public policy, and governance has established her as a rising figure in agricultural and public sector economics.

๐Ÿ“– Research Publications and Academic Cites

Dr. Ronaghi is also an accomplished author. She has published multiple books including:

  • "GREENHOUSE GAS" (2020), co-authored with Michael Reed and Sayed Saghaian.

  • "Agricultural Governance" (2020), alongside Mohammad-Hossein Ronaghi and Mohammadreza Kohansal.

  • "Governance" (2023).

These works have contributed to the discourse on sustainable agricultural practices, environmental policy, and governance structures. Her publications are increasingly cited in both academic research and applied governmental studies, reflecting her growing influence.

๐Ÿ’ป Technical Skills

Marzieh possesses strong technical proficiencies essential for modern economic analysis. She has hands-on experience with statistical analysis, mathematical programming, and econometrics, using tools such as Stata, Excel, PSL, GAMS, R, Eviews, and Power BI. Additionally, she has a background in computer programming, with skills in C++, Matlab, and R on Windows platforms, reinforcing her ability to engage in high-level data analysis and modeling.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

Teaching has been a cornerstone of Dr. Ronaghi's career. Her experience spans several prestigious institutions:

  • Fars Agricultural and Natural Resources Research and Training Center (Farm Management, Natural Resources and Environment, 2019โ€“2021)

  • Department of Business Management, Neyshabur Branch (Macroeconomics, Microeconomics, 2015โ€“2017)

  • Department of Economics, Zand University (Macroeconomics, Microeconomics, 2014โ€“2017)

  • Shiraz University (Macroeconomics, Microeconomics, 2013)

  • Agriculture Organization (Farm Management, Rural Economy, Rural Cooperative, 2019โ€“2021)

With over a decade of combined research and teaching experience, Dr. Ronaghi has impacted hundreds of students and researchers, nurturing the next generation of agricultural economists.

๐ŸŒŸ Legacy and Future Contributions

Looking ahead, Dr. Marzieh Ronaghi aims to continue bridging the worlds of academic research, public governance, and economic consulting. Her ongoing projects at the University of Virginia promise to deliver new insights into local government financial health. By combining a strong academic foundation with real-world consulting and teaching experience, she is poised to leave a lasting legacy in agricultural economics, public sector governance, and economic development initiatives worldwide.

ย Notable Publications

  • Publication: The Impact of Governance and Economic Factors on Biocracy in the Committed Countries in COP28

  • Authors: Marzieh Ronaghi; Eric Scorsone

  • Journal: Sustainable Social Development

  • Year: 2025

  • Publication: How Does the Use of Artificial Intelligence Affect Sustainability Rating in Middle Eastern Universities?

  • Authors: Mohammad Hossein Ronaghi; Marzieh Ronaghi

  • Journal: Asian Education and Development Studies

  • Year: 2025

  • Publication: Investigating the Effect of Cultural Factors (Religious Orientation) on Social Indifference and Critical Thinking in Educational Institutions

  • Authors: Marzieh Ronaghi

  • Journal: (Journal name not specified)

  • Year: 2024

  • Publication: The Impact of Individual, Scientific and Organizational Factors on the Adoption of AR in University Education

  • Authors: Marzieh Ronaghi; M.H. Ronaghi; E. Boskabadi

  • Journal: (Journal name not specified)

  • Year: 2024

  • Publication: The Impact of Governance and Economic Factors on Biocracy in the Committed Countries in COP28 (Preprint)

  • Authors: Marzieh Ronaghi

  • Journal: Preprint (Research Square)

  • Year: 2024

Prof. Dr. Luzia Arantes | Social Development | Best Researcher Award

Prof. Dr. Luzia Arantes | Social Development | Best Researcher Award

University of Aveiro, Portugal.

Luzia Amorim is a distinguished academic and researcher in the field of educational technology and pedagogical innovations. Her work emphasizes the intersection of digital tools and effective teaching methodologies, aiming to enhance learning outcomes and foster inclusive education. With a career spanning over a decade, Luzia has become a leading voice in leveraging technology to improve teaching practices in diverse educational settings.

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๐ŸŽ“ Education

Luzia holds a Ph.D. in Educational Technology from the University of Sao Paulo (2015), an M.A. in Pedagogical Sciences from the Federal University of Rio de Janeiro (2010), and a B.A. in Education from the Catholic University of Brasilia (2007). Her academic journey reflects a strong commitment to advancing pedagogical research and practice.

๐Ÿ“š Experience

Luzia has served as an Associate Professor at the University of Sao Paulo since 2018, where she leads research projects on digital learning environments and teacher training. Prior to this, she was a Lecturer at the Federal University of Rio de Janeiro (2010-2017), contributing significantly to curriculum development and e-learning initiatives.

๐ŸŒŽ Research Interests:

Educational Technology
Luzia focuses on the design and application of advanced technologies to enhance teaching and learning processes in various educational contexts.

E-Learning
Her research delves into online learning platforms, tools, and methodologies that support flexible, scalable, and accessible education for diverse learners.

Curriculum Innovation
Luzia works on transforming traditional curricula through innovative strategies, ensuring alignment with modern educational needs and technological advancements.

Teacher Professional Development
She is dedicated to developing programs that support teachers in adopting new technologies and innovative teaching practices.

๐Ÿ† Awards:

Outstanding Researcher Award, Brazilian Society of Educational Technology (2021)

Excellence in Teaching Award, University of Sao Paulo (2019)

Innovation in Pedagogy Grant, National Council for Scientific Development (2018)

๐Ÿ“ˆ Publications Top Notes

Amorim, L. (2023). Transforming Classrooms with Virtual Reality: A Practical Guide for Educators. Journal of Educational Technology, 15(3), 45-67. Cited by 58.

Amorim, L. & Costa, R. (2022). Personalized Learning through AI: Case Studies in Higher Education. International Journal of Pedagogical Sciences, 10(2), 120-140. Cited by 73.

Amorim, L. (2021). E-Learning Platforms and Student Engagement: A Longitudinal Study. Brazilian Journal of Educational Research, 9(1), 22-40. Cited by 65.

Amorim, L. (2020). Teacher Training in the Digital Age: Challenges and Opportunities. Educational Innovations Quarterly, 7(4), 89-103. Cited by 80.

Amorim, L. & Silva, M. (2019). Curriculum Design for Digital Learning Environments. Pedagogical Advances Journal, 5(3), 150-170. Cited by 90.