Leila Jafari | Sustainable Agriculture | Best Researcher Award

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Assoc. Prof. Dr. Leila Jafari | Sustainable Agriculture | Best Researcher Award

University of Hormozgan, Iran

Dr. Leila Jafari is a distinguished agroecologist and faculty member at the Department of Agronomy, Ferdowsi University of Mashhad, Iran. She holds a PhD in Agroecology from Ferdowsi University, with research focused on nitrogen efficiency in wheat and maize cultivars. Her academic background also includes an MS and BS in Agronomy from Shiraz University, where she explored allelopathy and crop rotation.

Profile:

Educational Background:

She earned her Ph.D. in Agroecology from Ferdowsi University of Mashhad with a thesis on the evolution of nitrogen efficiency indices in cereal cultivars. Prior to that, she completed both her B.Sc. and M.Sc. in Agronomy at Shiraz University, focusing on crop rotation and allelopathic interactions in rice-based systems.

Professional Experience:

Dr. Jafari has held academic positions at Hormozgan University, where she taught undergraduate and graduate courses, supervised student projects, and conducted field-based research. She also served as an inspector and planner at the Management and Planning Organization of Iran, overseeing agricultural and natural resource projects at the national level.

Research Interests:

Her research encompasses a broad range of agroecological topics, including nitrogen use efficiency, salinity stress mitigation, crop diversity, weed ecology, essential oil analysis, and sustainable crop management under climate change scenarios.

Scientific Publications:

Dr. Jafari has published extensively in high-impact international and national journals. Her work covers subjects such as seed priming, drought and salinity stress, allelopathy, biostimulants, and water footprint analysis. Her interdisciplinary collaborations have addressed issues in horticulture, medicinal plants, and crop physiology.

Teaching and Academic Contributions:

She has taught several courses in agronomy, agricultural ecology, weed management, and cereal production. Her teaching is complemented by hands-on research training for students, development of laboratory manuals, and the use of statistical tools such as SAS for data analysis.

Conference Participation:

Dr. Jafari has presented her research at international scientific conferences, including workshops on invasive plant species and crop-weed interactions, sharing insights from her work on allelopathy and sustainable agriculture.

Scientific and Societal Impact:

Her work contributes to the understanding and advancement of sustainable agricultural systems in Iran and beyond. Through her academic and professional engagements, she promotes ecologically sound farming practices and supports research-informed policy development in agriculture and natural resources.

Citation Metrics:

According to Google Scholar:

  • Total Citations: 639

  • Citations Since 2020: 407

  • h-index: 11

  • h-index Since 2020: 9

  • i10-index: 12

  • i10-index Since 2020: 9

Publication Top Notes:

  • Phytotoxicity and stimulatory impacts of nanosized and bulk titanium dioxide on fennel (Foeniculum vulgare Mill)
    2013
    Citations: 263

  • Comparison of health status and quality of life of related versus paid unrelated living kidney donors
    2013
    Citations: 50

  • Evaluation of climate change effect on agricultural production of Iran: I. Predicting the future agroclimatic conditions
    2016
    Citations: 43

  • Effect of NaCl and KNO3 priming on seed germination of canola (Brassica napus L.) under salinity conditions
    2012
    Citations: 31

  • Impacts of climate change on water footprint components of rainfed and irrigated wheat in a semi-arid environment
    2023
    Citations: 26

  • Yield responses of black cumin (Nigella sativa L.) to intercropping with chickpea (Cicer arietinum L.) and bean (Phaseolus vulgaris L.)
    2014
    Citations: 22

 

Nooshin Nemati | Computer Science | Best Researcher Award

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Ms. Nooshin Nemati | Computer Science | Best Researcher Award

Ankara University, Turkey

Dr. Nooshin Nemati is a dedicated researcher in the fields of Artificial Intelligence, Deep Learning, and Medical Image Processing, currently pursuing her PhD in Computer Engineering at Ankara University, where she also contributes to multiple AI-based cancer detection projects. She holds a Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University and a Bachelor’s from Qazvin Azad University.

Profile:

Educational Background:

Nooshin Nemati is currently a PhD candidate in Computer Engineering at Ankara University. She earned her Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University with a completed her undergraduate studies at Qazvin Azad University in Iran.

Research Areas:

Her main research interests lie in Artificial Intelligence, Deep Learning, Medical Image Processing, and Computer Vision, particularly applied to cancer detection in histopathology images. She focuses on segmentation, classification, and detection tasks using advanced deep learning frameworks.

Projects and Contributions:

She has actively contributed to significant research initiatives such as the TUBITAK 1001 Project, focused on deep learning methodologies for breast cancer detection, and the BAP Project, which deals with cancer region detection in histopathology images. She has also been involved in the development of important datasets such as NuSeC and MiDeSeC, aimed at supporting machine learning in medical imaging. In addition, she has applied her technical skills in software development projects including system analysis and automation tools for banks.

Technical Skills:

Nooshin is proficient in AI, Machine Learning, Deep Learning, and programming frameworks such as ASP.NET and WordPress. She also holds certifications like Network+ and CCNA, showcasing her broad technical competence.

Citation Metrics:

  • Total Citations: 75

  • Citations Since 2020: 71

  • h-index: 6

  • h-index Since 2020: 5

  • i10-index: 3

  • i10-index Since 2020: 3

Publication Top Notes:

  • An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images
    2023
    Citations: 22

  • Detection of colorectal cancer with vision transformers
    2022
    Citations: 11

  • Effect of color normalization on nuclei segmentation problem in H&E stained histopathology images
    2022
    Citations: 10

  • A hybridized deep learning methodology for mitosis detection and classification from histopathology images
    2023
    Citations: 8

  • CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
    2024
    Citations: 7

 

Saroj Koul | Business | Best Researcher Award

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Prof. Saroj Koul | Business | Best Researcher Award

Professor at O.P. Jindal Global University, India

Dr. Saroj Koul is a seasoned academic and industry expert with over 18 years of experience managing large-scale projects and more than 17 years of teaching in India and Canada. She currently serves as a Professor at Jindal Global Business School, OP Jindal Global University, and has previously taught at Carleton University and Acadia University. Her academic background includes a Ph.D. in Corporate Policy Analysis from IIT Delhi, a Master’s in Systems Engineering & Operations Research from IIT Roorkee, and a Bachelor’s in Electrical Engineering from NIT Srinagar.

Profile:

Educational Background:

Dr. Koul holds a Ph.D. in Corporate Policy Analysis from the Indian Institute of Technology (IIT) Delhi. She also earned a Master’s degree in Systems Engineering & Operations Research from IIT Roorkee and a Bachelor’s degree in Electrical Engineering from NIT Srinagar, under Kashmir University.

Academic and Industry Experience:

With academic tenures at Carleton University (Canada), Acadia University (Canada), and Jindal Global Business School (India), Dr. Koul has taught a wide range of business and management courses to undergraduate and postgraduate students, covering over 12,000 student contact hours. She has also served as a faculty committee member in curriculum development, ethics, placements, and research evaluation. Prior to her academic career, she held senior managerial positions at Bharat Heavy Electricals Limited (BHEL) where she was actively involved in corporate planning, communication, IT, and public policy support initiatives.

Research and Publications:

Dr. Koul has published 35 research articles and book chapters in peer-reviewed journals and academic texts. Her research has received substantial funding, including a recent grant from the Gates Foundation for work on digital credit and data privacy practices. She has supervised graduate student theses, served on editorial boards, and has spoken at over 25 national and international academic events.

Awards and Honors:

Dr. Koul has received multiple recognitions for her excellence in teaching and research. These include the Distinguished Woman Researcher in Operations & Supply Chain Management (2023), Woman Achiever in Logistics Sector (2021), and the 100 Most Dedicated Professors Award (2019). She is also a recipient of the Dewang Mehta National Education Award and several Best Paper Awards at international conferences.

Professional Skills and Contributions:

Known for her leadership, problem-solving ability, and organizational skills, Dr. Koul has led ERP implementations for over 11,000 users, and contributed to national policy papers on corporate governance and public systems. She is fluent in English, Hindi, and has basic knowledge of French. Her combined experience in academia, research, and industry positions her as a dynamic contributor to both institutional and societal progress.

Google Scholar Citation Metrics:

  • Total Citations: 488

  • Citations Since 2020: 312

  • h-index: 12

  • h-index Since 2020: 11

  • i10-index: 16

  • i10-index Since 2020: 12

Publication Top Notes:

1. Dynamic vendor selection based on fuzzy AHP
2011
Citations: 80

2. Analyzing the interaction of factors for Flexibility in Supply Chains
2017
Citations: 42

3. Electric vehicle charging infrastructure: positioning in India
2022
Citations: 34

4. Dynamic vendor selection: A fuzzy AHP approach
2012
Citations: 31

5. System dynamics, uncertainty and hydrocarbon resources modelling: A systematic review
2016
Citations: 26