Dr. Bhavana Kaushik | Image Processing | Best Researcher Award |

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.

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🎓 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.

Mr Tommaso Giordano | Risk assessment | Best Researcher Award |

Mr. Tommaso Giordano | Risk assessment | Best Researcher Award | 

PhD, at Consiglio Nazionale delle Ricerche , Italy

Mr. Tommaso Giordano is a dedicated research fellow at the Institute for Bioeconomy of the National Research Council (CNR-IBE) in Florence, Italy. With a multidisciplinary background spanning environmental engineering and development economics, he is currently pursuing a Ph.D. in Environmental Engineering through the prestigious International Doctorate in Civil and Environmental Engineering program at the University of Florence. His work is rooted in the intersection of urban environmental sustainability, data-driven risk assessment, and geospatial analysis. Mr. Giordano’s research is characterized by a strong commitment to applying statistical and technological tools to address real-world urban challenges.

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Education 🎓

Mr. Giordano holds a dual MSc degree in Development Economics from the University of Florence, Italy, and the University of Göttingen, Germany, as part of an esteemed joint program. His academic journey began with a High School Diploma from Liceo Scientifico “Piero Gobetti” and has progressed into doctoral-level research in environmental engineering. His master’s thesis focused on “Environmental regulation and innovation: empirical evidence for plastic,” highlighting his early interest in the interaction between environmental policy and technological development. His ongoing Ph.D. builds upon this interdisciplinary foundation, focusing on environmental modeling and urban sustainability.

Experience 👩‍

Mr. Giordano has served in various research fellow roles at CNR-IBE since March 2021, contributing to urban environmental projects funded by both national and local institutions. His responsibilities have included data collection, advanced statistical processing, geospatial analysis, and socio-economic evaluations for climate and sustainability initiatives. Prior to his research career, he completed a sales assistant internship at IRPLAST SpA, gaining experience in client services and data management systems. His professional background reflects a seamless integration of technical, analytical, and applied economic skills.

Research Interests 🔬

Mr. Giordano’s research primarily explores the application of statistical and geospatial methods to analyze urban environments, assess population risks related to natural and anthropogenic hazards, and evaluate ecosystem services. His work integrates data from IoT sensor networks, satellite imagery, and socio-economic indicators to provide holistic assessments of environmental quality, heat stress, and air pollution in urban settings. He has contributed to key research projects such as “Prato Urban Jungle,” “SMARTCITIES AIRQINO,” and “ADESFUR,” which aim to enhance urban resilience and sustainable planning through advanced data analytics.

Awards 🏆

Although still early in his career, Mr. Giordano has demonstrated noteworthy academic and research excellence. His consistent fellowship appointments at CNR-IBE reflect trust in his capabilities and the value of his contributions. His published research in internationally recognized journals, and his selection for doctoral studies at a competitive international program, further affirm his academic merit and potential as a leading researcher in the field.

Top Noted Publications 📚

Mr. Giordano has co-authored peer-reviewed scientific articles addressing key environmental issues. Notable publications include:

“Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network” (Urban Climate, 2025), which explores how low-cost sensors can inform climate and health risk assessments in cities.

“Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa” (Atmospheric Pollution Research, 2024), which underscores the global applicability of affordable environmental technologies.

Conclusion

Tommaso Giordano is highly suitable for a Best Researcher Award, particularly if aimed at early-career or emerging researchers in environmental engineering, urban climate, or sustainability science. He brings together technical rigor, societal impact, and cross-disciplinary training in a way that aligns well with current global research priorities.

If the award also values career trajectory, international collaboration, and data-driven innovation, he would be a strong contender. With further leadership, communication, and outreach, he could become a standout figure in urban environmental research in the next few years.