Zhihao Kang | Deep Learning | Best Researcher Award

Ms. Zhihao Kang | Deep Learning | Best Researcher Award

Ms. Zhihao Kang | Deep Learning | Ph.D at Tianjin University | China

Ms. Zhihao Kang is an accomplished academic and researcher at Tianjin University, China, specializing in urban perception modeling, AI-driven landscape design, ecological sensitivity mapping, and social media-based urban analytics. She earned her Ph.D. in Environmental Science and Urban Planning from Tianjin University, where her doctoral work focused on integrating deep learning frameworks and spatial modeling to evaluate visual and ecological sensitivity across urban landscapes. Ms. Kang has developed extensive professional experience through her participation in multi-institutional and cross-border projects on urban heat island prediction, sustainable landscape design, and spatial data visualization, collaborating with international research teams across Asia and Europe. Her research interests span artificial intelligence applications in environmental studies, geospatial data analysis, climate resilience planning, and the use of social media data for real-time urban perception modeling. In terms of research skills, Ms. Kang demonstrates expertise in machine learning algorithms, remote sensing, GIS-based urban analysis, CA–Markov modeling, and Google Earth Engine-based predictive simulations. She has co-authored multiple peer-reviewed papers indexed in Scopus and IEEE, contributing to global discourse on sustainable urbanization and digital environmental mapping. Her publications have received over 130 citations, reflecting growing recognition within the academic community. Ms. Kang’s work has earned her institutional awards and research fellowships that acknowledge her excellence in applied geospatial analytics and AI innovation. She is also an active member of IEEE and ACM, engaging in initiatives promoting smart and sustainable urban environments. With a strong interdisciplinary foundation and a commitment to technological innovation, Ms. Zhihao Kang continues to advance the frontier of urban informatics research, contributing impactful insights that support ecological resilience and evidence-based urban policy design.

Academic Profile: Google Scholar

Featured Publications:

  1. Ullah, N., Khan, J., Saeed, I., Zada, S., Xin, S., Kang, Z., & Hu, Y. K. (2022). Gastronomic tourism and tourist motivation: Exploring northern areas of Pakistan. International Journal of Environmental Research and Public Health, 19(13), 7734. Citations: 84

  2. Ullah, N., Siddique, M. A., Ding, M., Grigoryan, S., Khan, I. A., Kang, Z., Tsou, S., et al. (2023). The impact of urbanization on urban heat island: Predictive approach using Google Earth Engine and CA-Markov modelling (2005–2050) of Tianjin City, China. International Journal of Environmental Research and Public Health, 20(3), 2642. Citations: 50

 

 

Dr. Uddalak Mitra | Machine learning | Best Researcher Award

Dr. Uddalak Mitra | Machine learning | Best Researcher Award 

Dr. Uddalak Mitra, JIS College of Engineering, India

Dr. Uddalak Mitra is an Assistant Professor at JIS College of Engineering, affiliated with MAKAUT University, Kolkata, West Bengal. He holds a Ph.D. in Bioinformatics from Visva-Bharati University, Santiniketan, India. With expertise in bioinformatics, computational biology, machine learning, and deep learning, Dr. Mitra focuses on applying AI-driven methods to agriculture and medical diagnosis. He has published over 22 research articles and holds 9 patents under process. Actively mentoring students across academic levels, he also serves as a reviewer for reputed international journals. His research bridges biological sequence analysis and clinical applications, aiming to advance scientific and healthcare innovations.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Uddalak Mitra is a highly suitable candidate for the Best Researcher Award due to his impactful contributions in the fields of bioinformatics, machine learning, and deep learning, with applications in healthcare and agriculture. With over 22 publications, including in SCI and Scopus-indexed journals, and 9 patents under process, he has demonstrated consistent research productivity and innovation. His interdisciplinary approach—bridging computational biology with AI-driven diagnostics—has advanced scientific understanding and clinical applications. As an active mentor and reviewer, Dr. Mitra exemplifies both academic excellence and leadership in research.

🎓 Education

  • 📘 Ph.D. in Bioinformatics
    🏫 Visva-Bharati University, Santiniketan, India
    🧬 Specialized in computational biology, machine learning, and their applications in bio-sciences.

💼 Work Experience

  • 👨‍🏫 Assistant Professor
    🏢 JIS College of Engineering, affiliated with MAKAUT University, Kolkata, West Bengal
    📆 Teaching & mentoring students (Ph.D., Master’s, UG)
    🔬 Active in interdisciplinary research combining ML/DL with bioinformatics and medical diagnostics
    🧠 Reviewer for international peer-reviewed journals

🏆 Achievements

  • 📚 22+ research publications in journals, conferences & book chapters

  • 🔍 5 papers in SCI/Scopus-indexed journals

  • 🧪 9 patents published or under process

  • 🧠 Research focus on AI-based biological sequence analysis & clinical diagnosis

  • 🤝 Member of IFERP & ISTE

🥇 Awards & Honors

  • 🏅 Award Nomination: Best Researcher Award (2025)

  • 📈 Citation Index:

    • h-index: 3

    • i10-index: 1

  • 🌐 Recognized for advancing AI-driven innovations in science and medicine

Publication Top Notes:

Ml-powered handwriting analysis for early detection of Alzheimer’s disease

CITED:11

PEER: a direct method for biosequence pattern mining through waits of optimal k-mers

CITED:6

Leveraging AI and Machine Learning for Next-Generation Clinical Decision Support Systems (CDSS)

CITED:4

An efficient tactic for analysis and evaluation of malware dump file using the volatility tool

CITED:3

Tandem repeat interval pattern identifies animal taxa

CITED:1