Hemlata Jambhulkar | Environmental | Best Paper Award

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Mrs Hemlata Jambhulkar |  Environmental  |  Best Paper Award

Principal Technical Officer at  CSIR-NEERI,Nagpur, India

Mrs. Hemlata Padmakar Jambhulkar is a Principal Technical Officer at CSIR-NEERI, Nagpur, with a distinguished career in environmental engineering and over three decades of research experience. She holds an M.Sc. in Chemistry from Nagpur University and specializes in areas such as phytoremediation, soil remediation, wastewater management, and carbon sequestration. She is a life member of various scientific societies, including the Indian Women Scientist Association. Mrs. Jambhulkar has received several accolades, including the Dubai International Award for her contributions to ecological restoration and the Best Paper Award at the Women in Science meeting in 2007. Her work is instrumental in advancing sustainable environmental practices in India.

 

Publication Profile

Educational Qualifications:

  • M.Sc. in Chemistry (Physical, Environmental, Organic, Inorganic, Analytical), Nagpur University, 1989
  • B.Sc. in Microbiology, Botany, and Chemistry, Nagpur University, 1987

Research Experience:

Mrs. Jambhulkar has over three decades of experience in environmental research, particularly focusing on:

  • Phytoremediation of mining wastelands and degraded lands
  • Remediation of metal-contaminated soils
  • Bioaccumulation of heavy metals in plants on fly ash dumps
  • Management of wastewater through eco-friendly constructed wetlands
  • Carbon sequestration through afforestation
  • Wastewater recycling for agricultural and forestry applications

Memberships:

She is a life member of multiple professional bodies, including the Researchers Society of Chemical Sciences, Indian Network for Soil Contamination and Research (INSCR), Indian Water Resources Society, Indian Women Scientist Association, and Vigyan Bharati Vidarbha Pradesh Mandal.

Awards and Honors:

  • Dubai International Award (2007): Recognized for contributing to the project “Ecological restoration of degraded lands through biotechnological approaches.”
  • Best Paper Award (2007): For her work on “Assessment of bioaccumulation potential of heavy metals on fly ash dump” at the All India meeting of ‘Women in Science’ organized by the Indian Women Scientist Association.

Citations :

  • Total Citations: 385 (from 352 documents)
  • Publications: 6 documents
  • h-index: 5

Publication Top Notes

  1. “Eco-restoration approach for mine spoil overburden dump through biotechnological route”
    Authors: Jambhulkar, H.P., Kumar, M.S.
    Journal: Environmental Monitoring and Assessment, 2019, 191(12), 772
    Citations: 22
  2. “Fly ash toxicity, emerging issues and possible implications for its exploitation in agriculture; Indian scenario: A review”
    Authors: Jambhulkar, H.P., Shaikh, S.M.S., Kumar, M.S.
    Journal: Chemosphere, 2018, 213, pp. 333–344
    Citations: 115
  3. “Natural vs. reclaimed forests – a case study of successional change, reclamation technique and phytodiversity”
    Authors: Juwarkar, A.A., Singh, L., Singh, S.K., Thawale, P.R., Kanfade, H.
    Journal: International Journal of Mining, Reclamation and Environment, 2015, 29(6), pp. 476–498
    Citations: 5
  4. “Assessment of bioaccumulation of heavy metals by different plant species grown on fly ash dump”
    Authors: Jambhulkar, H.P., Juwarkar, A.A.
    Journal: Ecotoxicology and Environmental Safety, 2009, 72(4), pp. 1122–1128
    Citations: 67
  5. “Phytoremediation of coal mine spoil dump through integrated biotechnological approach”
    Authors: Juwarkar, A.A., Jambhulkar, H.P.
    Journal: Bioresource Technology, 2008, 99(11), pp. 4732–4741
    Citations: 97
  6. “Restoration of fly ash dump through biological interventions”
    Authors: Juwarkar, A.A., Jambhulkar, H.P.
    Journal: Environmental Monitoring and Assessment, 2008, 139(1-3), pp. 355–365
    Citations: 79

 

 

Zeeshan Zafar | Climate Change | Best Researcher Award

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Dr Zeeshan Zafar |  Climate Change | Best Researcher Award

Postdoctoral Researcher at  Wuhan University,  China

 

Dr. Zeeshan Zafar is a physical geographer and researcher with expertise in remote sensing, GIS, and environmental modeling. His work focuses on machine learning applications in hydrology and climate change impact studies, particularly in urban and natural ecosystems. Dr. Zafar has contributed to research publications on carbon storage modeling, LULC, urban heat islands, and soil erosion, and he actively collaborates on projects assessing ecological health risks and sustainable urban planning.

 

Publication Profile

Education:

Dr. Zeeshan Zafar completed his Ph.D. in Physical Geography from Northwest University, Xi’an, China. He holds an M.S. in Remote Sensing & GIS from PMAS Arid Agriculture University, Rawalpindi, Pakistan.

Professional Experience:

Dr. Zafar is currently a Postdoctoral Researcher at Wuhan University, China, where he focuses on advanced GIS and ecological modeling methodologies. Previously, he served as a GIS Manager at GreenAge Services in Pakistan (2016-2018) and as an Instructor at Virtual University, Pakistan (2013-2016), where he developed remote sensing and GIS curricula and trained students in these fields.

Research Interest:

Dr. Zafar’s research integrates machine learning, hydrological modeling, ecosystem services, and climate change impacts. His expertise extends to ecological modeling, land-use/land-cover (LULC) change, urbanization, and land surface temperature modeling. He is proficient in advanced spatial analysis using satellite data, machine learning, deep learning, and statistical modeling.

Author Metrics:

Dr. Zafar has published extensively in reputable journals, including Ecological Informatics, Theoretical and Applied Climatology, and Water Supply. His research, recognized for its impact on understanding climate and urban dynamics, is supported by over 20 peer-reviewed articles and ongoing submissions to high-impact journals. His work is regularly cited by peers in environmental science and remote sensing domains.

Publication Top Notes
  • Selection of medical clinic for disease diagnosis by using TOPSIS method
    RM Zulqarnain, S Abdal, B Ali, L Ali, F Dayan, MI Ahamad, Z Zafar
    International Journal of Pharmaceutical Sciences Review and Research, 61(1), 2020.
  • Application of TOPSIS method in decision making via soft set
    RM Zulqarnain, S Abdal, A Maalik, B Ali, Z Zafar, MI Ahamad, S Younas
    Biomedical Journal of Scientific & Technical Research, 24(3), 18208-18215, 2020.
  • Trend analysis of the decadal variations of water bodies and land use/land cover through MODIS imagery: An in-depth study from Gilgit-Baltistan, Pakistan
    Z Zafar, MS Mehmood, MI Ahamad, A Chudhary, N Abbas, AR Khan
    Water Supply, 21(2), 927-940, 2021.
  • Fostering deep learning approaches to evaluate the impact of urbanization on vegetation and future prospects
    Z Zafar, MS Mehmood, Z Shiyan, M Zubair, M Sajjad, Q Yaochen
    Ecological Indicators, 146, 109788, 2023.
  • Time Series Analyses and Forecasting of Surface Urban Heat Island Intensity Using ARIMA Model in Punjab, Pakistan
    MS Mehmood, Z Zafar, M Sajjad, S Hussain, S Zhai, Y Qin
    Land, 12(1), 142, 2022.
  • Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data
    Z Zafar, M Zubair, Y Zha, S Fahd, AA Nadeem
    The Egyptian Journal of Remote Sensing and Space Sciences, 27(2), 216-226, 2024.
  • Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China
    AA Nadeem, Y Zha, L Shi, S Ali, X Wang, Z Zafar, Z Afzal, MAUR Tariq
    Remote Sensing, 15(3), 812, 2023.
  • Generalized fuzzy TOPSIS to solve multi-criteria decision-making problems
    RM Zulqarnaın, M Saeed, B Ali, S Abdal, M Saqlaın, MI Ahamad, Z Zafar
    Journal of New Theory, 40-50, 2020.
  • Comprehensive assessment on groundwater quality, pollution characteristics, and ecological health risks under seasonal thaws: Spatial insights with Monte Carlo simulations
    C Jia, AR Altaf, F Li, I Ashraf, Z Zafar, AA Nadeem
    Groundwater for Sustainable Development, 22, 100952, 2023.
  • Mapping flood extend and its impact on land use/land cover and settlements variations: A case study of Layyah District, Punjab, Pakistan
    S Soomro, C Hu, MW Boota, MHAA Soomro, S Jian, Z Zafar, X Li
    Acta Geophysica, 69, 2291-2304, 2021.
  • Application of Intuitionistic Fuzzy Soft Matrices for Disease Diagnosis
    RM Zulqarnain, M Saeed, MI Ahamad, S Abdal, Z Zafar, M Aslam
    International Journal of Discrete Mathematics, 5(1), 4-9, 2020.
  • The spatial coupling effect between urban street network’s centrality and collection & delivery points: A spatial design network analysis-based study
    MS Mehmood, G Li, A Jin, A Rehman, V Wijeratne, Z Zafar, AR Khan
    PLOS One, 16(5), e0251093, 2021.
  • Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis
    Z Zafar, M Zubair, Y Zha, MS Mehmood, A Rehman, S Fahd, AA Nadeem
    Ecological Informatics, 102701, 2024.
  • Disease identification using trapezoidal fuzzy numbers by Sanchez’s approach
    RM Zulqarnain, XL Xin, B Ali, S Abdal, A Maalik, L Ali, MI Ahamad, Z Zafar
    International Journal of Pharmaceutical Sciences Review and Research, 61(1), 13-18, 2020.
  • Effects of Temperature and Pressure on Reservoir Fluids and Seismic Properties of Reservoir Rocks
    MI Ahamad, Z Zafar, M Arsalan, A Rehman, M Sajid, RM Zulqarnain
    International Journal of Pharmaceutical Sciences Review and Research, 63, 36-43, 2020.
  • Spatiotemporal dynamics analysis of surface water body and snow cover area to climate change in Gilgit Baltistan, Pakistan
    Z Zafar, MS Mehmood, A Akbar, MA Khan
    Physical Geography, 44(5), 600-619, 2023.
  • Evaluating land use/cover change associations with urban surface temperature via machine learning and spatial modeling: Past trends and future simulations in Dera Ghazi Khan
    MS Mehmood, A Rehman, M Sajjad, J Song, Z Zafar, Z Shiyan
    Frontiers in Ecology and Evolution, 11, 1115074, 2023.
  • SAFER-ET based assessment of irrigation patterns and impacts on groundwater use in the central Punjab, Pakistan
    AA Nadeem, Y Zha, L Shi, Z Zafar, S Ali, Y Zhang, AR Altaf, M Afzal
    Agricultural Water Management, 289, 108545, 2023.
  • Modelling the Climate Change on Crop Estimation in the Semi-Arid Region of Pakistan Using Multispectral Remote Sensing
    Z Zafar, S Farooq, MI Ahamad, MS Mehmood
    Optics, 9(1), 1-7, 2020.
  • Assessment of urbanization impacts on vegetation cover in major cities of Pakistan: Evidence from remotely sensed data
    Z Zafar
    GeoJournal, 89(4), 167, 2024.

 

Cracios Consul | Environmental | Best Researcher Award

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Mr Cracios Consul | Environmental | Best Researcher Award

UTFPR, Brazil

Cracios Clinton Consul is a seasoned marketing professional with over 25 years of experience in executive roles at major Brazilian and multinational companies. He holds a Bachelor’s degree in Administration from the Universidade Estadual de Ponta Grossa (1990) and an MBA in Administration and Marketing from USP (2002). He also completed his Master’s in Administration and Finance at Centro Universitário FECAP in 2014 with a thesis on the performance of stock portfolios selected using ROE between 2008 and 2013. He is currently pursuing a Ph.D. in Production Engineering at UTFPR, focusing on sustainable production systems.

Profile

Academic Background:

  • Doctoral Studies: Currently pursuing a PhD in Production Engineering at UTFPR, Ponta Grossa campus, focusing on sustainable production systems.
  • Master’s Degree: Administration and Finance, FECAP (2014) 📊
  • MBA: Administration and Marketing, USP (2002) 🎓
  • Bachelor’s Degree: Administration, Universidade Estadual de Ponta Grossa (1990) 🏛️
  • Specializations:
    • Marketing, UEPG (1993) 📈
    • Intelligence in Market and Knowledge Management, ISAE (2018) 💡

Professional Experience:

  • Marketing Executive: Extensive background in B2B and B2C segments, trade marketing, strategic planning, corporate finance, innovation projects, food service, and outsourcing.
  • Teaching and Consulting: Professor at Anhembi Morumbi, UNISAL, FASF, CESCAGE, and UNISECAL, also serving as a business consultant and speaker.
  • Leadership Roles:
    • Frísia Agroindustrial: Executive Marketing Manager (2017-Present) 🌱
    • Perdigão Agro Industrial: Trade Marketing Manager, led significant projects and conventions (2001-2009) 🥛
    • Quero Alimentos: Marketing Manager, responsible for major rebranding projects (2009-2010) 🍅

Environmental Research Focus:

  • Sustainable Production Systems: Currently pursuing a PhD in Production Engineering at UTFPR, focusing on sustainable production systems. His research aims to develop and implement sustainable practices within industrial and agricultural settings, reducing environmental impact while maintaining economic viability.
  • Market Intelligence and Environmental Management: Specialization in Intelligence in Market and Knowledge Management from ISAE (2018), where his studies included the application of market intelligence to promote environmentally sustainable business practices.
  • Case Study Research: Conducted a case study at Frísia Agroindustrial as part of his specialization, exploring the environmental strategies and sustainability practices of agro-industrial enterprises.

📄 Publication:

  • Analysis of the relationship between carbon pricing and green innovation: A multidimensional study in 35 countries