Amreen Batool | Smart Agriculture | Best Researcher Award

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Ms. Amreen Batool | Smart Agriculture | Best Researcher Award

Jeju National University | South Korea

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AMREEN BATOOL: PIONEERING AI RESEARCHER IN COMPUTER VISION AND DEEP LEARNING šŸŒŸ

INTRODUCTION

Amreen Batool is an accomplished PhD researcher at Jeju National University, specializing in computer vision and deep learning. With a strong academic foundation and an impressive portfolio of research contributions, she has established herself as a prominent figure in AI-driven applications for agriculture and healthcare. Her work focuses on leveraging deep learning models such as Vision Transformers and YOLO-based architectures for plant leaf disease detection and medical image analysis. Amreenā€™s commitment to technological advancements is evident through her numerous publications, prestigious awards, and active involvement in groundbreaking research projects.

šŸ“šĀ EARLY ACADEMIC PURSUITS

Amreen Batool embarked on her academic journey with a passion for artificial intelligence and its applications. Her initial studies provided a robust foundation in computer science, leading her to specialize in deep learning and computer vision. Through rigorous training and research, she gained expertise in AI-based solutions for precision farming, plant disease detection, and medical diagnostics. Her dedication to academia and innovation laid the groundwork for her future contributions to AI and sustainability research.

šŸ§ŖĀ PROFESSIONAL ENDEAVORS

As a PhD researcher at Jeju National University, Amreen Batool is actively engaged in cutting-edge research projects. She has successfully completed a Smart Agriculture Project, utilizing AI-driven techniques for precision farming and plant disease identification. Currently, she is working on the Green Hydrogen Project, exploring sustainable energy solutions. Her research has been widely recognized, leading to her involvement in various funded projects and collaborations. Additionally, she serves as a reviewer for AI and computer vision journals, contributing her expertise to the academic community.

šŸ”¬Ā CONTRIBUTIONS AND RESEARCH FOCUS ON Smart Agriculture

Amreen Batoolā€™s research primarily revolves around:

  • Plant Leaf Disease Detection: Using deep learning models like Vision Transformers and YOLO to enhance agricultural monitoring.
  • Medical Image Analysis: Developing AI-driven solutions for white blood cell segmentation and other healthcare applications.
  • Smart Agriculture: Integrating AI techniques to improve farming practices and optimize crop health.
  • Green Hydrogen Research: Investigating sustainable energy sources to address global energy challenges.

Her interdisciplinary approach to AI, agriculture, and energy has set new benchmarks in these fields, making significant contributions to technological advancements.

šŸŒĀ IMPACT AND INFLUENCE

Amreen Batoolā€™s work has had a profound impact on AI research, particularly in smart agriculture and medical diagnostics. By applying AI-driven methodologies, she has improved the accuracy and efficiency of plant disease detection and medical image processing. Her ongoing research in green hydrogen presents promising solutions for sustainable energy. Through her publications and conference presentations, she continues to influence the global research community, inspiring advancements in AI applications.

šŸ“ˆĀ ACADEMIC CITATIONS AND PUBLICATIONS

  • Total Citations: 234
  • Citations Since 2020: 232
  • h-index: 9
  • i10-index: 9 (Overall), 8 (Since 2020)
  • Published Research Papers: 8 in SCI/Scopus-indexed journals
  • Conference Presentations: Multiple presentations at international conferences

Her research output reflects her dedication to pioneering AI-based solutions across multiple disciplines.

šŸ…Ā HONORS & AWARDS

  • Best Paper Award (Greece)
  • Best Poster Presentation Award
  • Brain Korea Best Research Achievement Award
  • BK21 Scholarship Recipient

šŸŒĀ LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Amreen Batool aims to:

  • Expand her research in AI-driven sustainable energy solutions.
  • Develop more precise and efficient AI models for agriculture and healthcare.
  • Collaborate with global researchers to enhance AIā€™s role in environmental sustainability.
  • Continue publishing high-impact research that influences future innovations.

Her dedication to research and technological advancement ensures that she remains a key contributor to AIā€™s evolving landscape.

šŸŒ Ā FINAL NOTE

Amreen Batoolā€™s journey as a researcher is a testament to her passion for AI and its transformative potential. Her work in smart agriculture, medical image analysis, and green hydrogen research continues to pave the way for innovative solutions in various industries. Through her research, mentorship, and collaborations, she is shaping the future of AI-driven technologies.

šŸ“‘Ā NOTABLE PUBLICATIONSĀ 

Enhanced Click Fraud Detection in Digital Advertising Through Ensemble Deep Learning
  • Authors: Amreen Batool, Jisoo Kim, Yung-Cheol Byun
  • Journal: Book Chapter
  • Year: 2025
A Lightweight Multi-Path Convolutional Neural Network Architecture Using Optimal Features Selection for Multiclass Classification of Brain Tumor Using Magnetic Resonance Images
  • Authors: Amreen Batool, Yung-Cheol Byun
  • Journal: Results in Engineering
  • Year: 2025
Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation
  • Authors: Amreen Batool, Yung-Cheol Byun
  • Journal: IEEE Access
  • Year: 2024
Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm
  • Authors: Amreen Batool, Yung-Cheol Byun
  • Journal: IEEE Access
  • Year: 2024
Brain Tumor Detection with Integrating Traditional and Computational Intelligence Approaches Across Diverse Imaging Modalities – Challenges and Future Directions
  • Authors: Amreen Batool, Yung-Cheol Byun
  • Journal: Computers in Biology and Medicine
  • Year: 2024-06

 

Shah Murtoza Morshed | Climate Change | Best Researcher Award

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Mr. Shah Murtoza Morshed | Climate Change | Best Researcher Award

Ahsanullah University of Science and Technology | Bangladesh

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INTRODUCTION

Shah Murtoza Morshed is a distinguished academic and researcher specializing in industrial engineering and machine learning. Currently serving as a Lecturer at Ahsanullah University of Science and Technology (AUST) in Dhaka, Bangladesh, he has made significant contributions to the fields of machine learning, sustainable supply chain management, and decision analysis.

šŸ“šĀ EARLY ACADEMIC PURSUITS

Mr. Morshed completed his Bachelor of Science in Industrial and Production Engineering at AUST, where he graduated with honors, receiving the Dean’s Honor Award in 2022. His academic journey was marked by a strong focus on operations research, supply chain management, and quality control.

šŸ§ŖĀ PROFESSIONAL ENDEAVORS

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

šŸ”¬Ā CONTRIBUTIONS AND RESEARCH FOCUS ON Climate Change

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

šŸŒĀ IMPACT AND INFLUENCE

Through his research, Mr. Morshed has significantly influenced the integration of machine learning techniques in industrial applications. His studies on lean manufacturing drivers to enhance circular economy performance in the pharmaceutical industry have provided valuable insights into sustainable industrial practices.

šŸ“ˆĀ ACADEMIC CITATIONS AND PUBLICATIONS

Mr. Morshed has an impressive portfolio of publications, with his work being cited over 80 times. His research papers cover topics such as sustainable supply chain management, decision analysis, and the application of machine learning in industrial settings.

šŸ…Ā HONORS & AWARDS

  • Dean’s Honor Award from AUST in 2022.
  • Best Paper Award at the 17th Annual Paper Meet, Mechanical Engineering Division, Institution of Engineers, Bangladesh (IEB), in 2023

šŸŒĀ LEGACY AND FUTURE CONTRIBUTIONS

As he continues his career, Mr. Morshed is poised to further influence the fields of industrial engineering and machine learning. His ongoing research and commitment to education are expected to yield significant contributions to sustainable industrial practices and the integration of advanced analytics in engineering.

šŸŒ Ā FINAL NOTE

Mr. Morshed’s dedication to advancing industrial engineering through innovative research and teaching has established him as a prominent figure in his field. His interdisciplinary approach bridges the gap between traditional industrial practices and modern technological advancements.

šŸ“‘Ā NOTABLE PUBLICATIONS

Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool
  • Authors: M. Karim, J.B. Tariq, S.M. Morshed, S.H. Shawon, A. Hasan, C. Prakash, et al.
  • Journal: Sustainability
  • Year: 2021
Barriers to Achieving Sustainability in Pharmaceutical Supply Chains in the Post-COVID-19 Era
  • Authors: S.A. Liza, N.R. Chowdhury, S.K. Paul, M. Morshed, S.M. Morshed, et al.
  • Journal: International Journal of Emerging Markets
  • Year: 2023
A Pythagorean Fuzzy Approach to Evaluate the Challenges to Implementing Circular Economy in the Glass Manufacturing Industry: Implications for Sustainable Development
  • Authors: Z.N. Tushar, S.M. Morshed, A. Ahsan, S. Sarkar, A.B.M.M. Bari, A.R.M.T. Islam
  • Journal: Results in Engineering
  • Year: 2024
Exploring the Challenges to Cope with Ripple Effects in the Perishable Food Supply Chain Considering Recent Disruptions: Implications for Urban Supply Chain Resilience
  • Authors: R. Al Aziz, M.H. Arman, C.L. Karmaker, S.M. Morshed, A.B.M.M. Bari, et al.
  • Journal: Journal of Open Innovation: Technology, Market, and Complexity
  • Year: 2025
Exploring Lean Manufacturing Drivers for Enhancing Circular Economy Performance in the Pharmaceutical Industry: A Bayesian Bestā€“Worst Approach
  • Authors: S. Salman, S.M. Morshed, M.R. Karim, R. Rahman, S. Hasanat, A. Ahsan
  • Journal: International Journal of Industrial Engineering and Operations Management
  • Year: 2024

 

Naveen Chandra Pandey | Plant Systematics | Excellence in Plant Research

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Ā Dr. Naveen Chandra Pandey | Plant Systematics | Excellence in Plant Research

Botany Department, D.S.B. Campus, Kumaun University, Nainital | India

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šŸŒŸ DR. NAVEEN CHANDRA PANDEY

šŸ“šĀ EARLY ACADEMIC PURSUITS

Dr. Naveen Chandra Pandey began his academic journey at Kumaun University, Nainital, where he earned a B.Sc. in Zoology, Botany, and Chemistry in 2006. His passion for the natural world continued as he pursued a Masterā€™s degree in Botany from the same institution, graduating in 2008. Dr. Pandey’s academic commitment culminated in a Ph.D. in Botany from Kumaun University in 2020. Further expanding his knowledge, he completed the PGDESD program from IGNOU in 2022, specializing in Environment and Sustainable Development.

šŸ§ŖĀ PROFESSIONAL ENDEAVORS

Dr. Pandey has had a diverse and enriching career. His early professional experience includes roles such as Field Research Fellow at Lok Chetna Manch NGO (2010-2014) and Herbarium Assistant at the Regional Ayurvedic Research Institute (2014-2015). He later worked as a Resource Person at the ENVIS Centre, GBPNIHE, Kosi-Katarmal, Almora (2020-2021), and as a Field Biologist at the Centre for Biodiversity and Conservation Management, GBPNIHE (2020). He is currently a Guest Faculty member in the Botany Department at Kumaun University, Nainital, since 2020.

šŸ”¬ CONTRIBUTIONS AND RESEARCH FOCUS ON Ā PLANT SYSTEMATICS

Dr. Pandeyā€™s primary research interests include Plant Taxonomy, Biodiversity Conservation, and Ethno-Botany. His notable contributions to these fields include in-depth studies on floristic diversity, phytochemical analysis, and the conservation status of various plant species in the Kumaun Himalayas. His extensive fieldwork and research have enriched the understanding of plant biodiversity in the region

šŸŒĀ IMPACT AND INFLUENCE

Dr. Pandeyā€™s work has made a significant impact on both academic circles and local communities. His research on ethno-medicinal plants has bridged the gap between traditional knowledge and scientific validation. Through his publications and participation in community outreach, he has influenced conservation practices and increased awareness about the environmental significance of the Himalayas.

šŸ“ˆĀ ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Pandey has authored several notable research papers in journals such as Plants, Ecological Frontiers, and Indian Journal of Forestry. His work explores critical topics, including the carbon sequestration potential of protected areas, the diversity of tree species in wildlife sanctuaries, and the regenerative status of plant species. His research has been published widely, contributing significantly to the field of Botany and Biodiversity Conservation.

šŸ…Ā HONORS & AWARDS

  • Best Paper Award in Ecological Studies at National Conference (2023)
  • Research Excellence Award from Kumaun University (2022)
  • Conservation Leadership Award from GBPNIHE (2021)

šŸŒĀ LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Dr. Pandey is committed to furthering his research on plant taxonomy and biodiversity conservation. His work holds the potential to inspire future generations of scientists, policymakers, and conservationists to protect and preserve the delicate ecosystems of the Himalayas for the future.

šŸŒ Ā FINAL NOTE

Dr. Pandeyā€™s journey from a student of Botany to a distinguished guest faculty member is a testament to his dedication and passion for environmental science. His research continues to shape the understanding of plant biodiversity and conservation, particularly in the context of the Himalayas.

šŸ“‘Ā NOTABLE PUBLICATIONSĀ 

Floristic diversity of Binsar wildlife sanctuary, Uttarakhand, India
  • Authors: G. Upadhyay, L.M. Tewari, A. Tewari, N.C. Pandey, K.C. Sekar
    Journal: Ecological Frontiers
    Year: 2024
Status, Threats, Diversity and Distribution of Threatened Medicinal Plants of Kumaun Himalaya, Uttarakhand, India
  • Authors: G. Upadhyay, N.C. Pandey, L.M. Tewari, D. Upreti, V. Lodhiyal, S. Koranga
    Journal: Threatened Medicinal Plants in the Indian Himalayan Region: Sustainability
    Year: 2024
Diversity and regeneration status of tree species in Binsar Wildlife Sanctuary, Uttarakhand, India
  • Authors: L.M.T.N.C.P. Geetanjali Upadhyay, Ashish Tewari
    Journal: Indian Journal of Forestry
    Year: 2024
Diversity, Distribution and Utilization Pattern of Shrubs of Betalghat Region (Kumaun Himalaya)
  • Authors: N.C. Pandey, L.M. Tewari, G.C. Joshi
    Journal: Asian Journal of Plant and Soil Sciences
    Year: 2023
Phytochemical Screening and Antioxidant Potential of Some Selected Wild Edible Plants of Nainital District, Uttarakhand
  • Authors: L.M. Tewari, G. Tewari, N. Chopra, A. Tewari, N.C. Pandey, M. Kumar
    Journal: Natural Products and Their Utilization Pattern
    Year: 2020

 

Neerav Sharma | Sustainable Agriculture | Best Researcher Award

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Dr. Neerav Sharma | Sustainable Agriculture | Best Researcher Award

IIT RoorkeeĀ | India

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šŸŒŸSUITABLITY FOR BEST RESEARCHER AWARDĀ 

Their achievements in impactful research, international exposure, and technical expertise, the candidate aligns well with the objectives of a Best Researcher Award. Their blend of innovation, publication record, and leadership in cutting-edge research fields such as AI, IoT, and transportation safety positions them as a strong nominee.If the award criteria include leadership, innovation, and contributions to global challenges, this candidate is highly suitable.

šŸ“šĀ EARLY ACADEMIC PURSUITS

Dr. Neerav Sharma’s journey began in Raipur, India, where his parents instilled in him the importance of education and innovation. He pursued a Bachelor of Engineering (B.E.) in Electronics & Communication from SSIPMT, Raipur, graduating in 2015 with an impressive CGPA of 8.26. Driven by a passion for technology, he completed his Master of Engineering (M.E.) in the same field at BIT Mesra in 2018, achieving a stellar CGPA of 8.05.
In 2023, he earned his Ph.D. in Geomatics & Transportation from the prestigious Indian Institute of Technology (IIT) Roorkee, focusing on advanced transportation systems. Currently, Dr. Sharma is pursuing a Post-Doctoral Fellowship in Sensing and Control at Purdue University, USA, under the FFAR project, expanding his expertise in air quality management through IoT, AI, and smart sensors.

šŸ§ŖĀ PROFESSIONAL ENDEAVORS

Dr. Sharmaā€™s career is a blend of cutting-edge research and impactful academic roles. His work includes:

  • Post-Doctoral Researcher at Purdue University, focusing on air quality management systems for swine farms using IoT and AI.
  • Research and Liaison Officer at IIT Roorkee, excelling in grant writing, project supervision, and R&D.

His expertise spans IoT, AI, GIS, computer vision, UAV applications, and real-time intelligent systems.

šŸ”¬ CONTRIBUTIONS AND RESEARCH FOCUS ON Sustainable Agriculture

Dr. Sharma’s contributions lie in intelligent transportation systems, air quality management, and advanced driver-assistance systems (ADAS). Notable achievements include:

  • Developing IoT-based real-time connected vehicle infrastructure.
  • Creating GIS-based alarming systems for accident-prone zones.
  • Advancing low-cost solutions for pedestrian and vehicle sensing.

His patent on ADAS-based systems exemplifies his commitment to innovation.

šŸŒĀ IMPACT AND INFLUENCE

Dr. Sharma’s research impacts diverse fields, from transportation safety to environmental sustainability. His IEEE and ASCE publications are widely cited in academic and professional circles. His work bridges academia and industry, inspiring technological advancements worldwide.

šŸ“ˆĀ ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Sharma has authored over 10 influential publications, including:

  • IEEE Transactions on Intelligent Transportation Systems (I.F. = 9.5).
  • Journal of Transportation Engineering (ASCE).
  • Best Paper Award at the 8th IEEE ICEET Conference in Malaysia (2022).

šŸ…Ā HONORS & AWARDS

  • Best Paper Award at IEEE ICEET 2022.
  • Certified UAV Pilot and Mapping Specialist (Germany, 2019).
  • AI and IoT Certification from IIT Kanpur (2019).
  • State Badminton Player, demonstrating his diverse talents.

šŸŒĀ LEGACY AND FUTURE CONTRIBUTIONS

Dr. Sharma aims to revolutionize the fields of transportation safety and environmental monitoring through IoT and AI. He envisions scalable, real-time systems that enhance global sustainability.

šŸŒ Ā FINAL NOTE

Dr. Neerav Sharma exemplifies academic brilliance, innovation, and dedication. His work continues to inspire peers and students alike, solidifying his legacy as a trailblazer in geomatics, IoT, and AI-driven solutions.

šŸ“‘Ā NOTABLE PUBLICATIONSĀ 

“Hazardous Zone Identification by Spectral Analysis of Ground Penetrating Radar Response”

    • Author(s): Udbhav Joshi, Rahul Dev Garg, Neerav Sharma, Vinod Kumar Joshi, Kavita Sharma
    • Journal: ELECTRICA
    • Year: 2024

“Real-Time IoT-Based Connected Vehicle Infrastructure for Intelligent Transportation Safety”

    • Author(s): Neerav Sharma, Rahul D. Garg
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Year: 2023

“Advanced Transportation Safety Using Real-Time GIS-Based Alarming System for Animal-Prone Zones and Pothole Areas”

    • Author(s): Neerav Sharma, Rahul Dev Garg
    • Journal: Journal of Transportation Engineering, Part A: Systems
    • Year: 2023

“Real-Time Computer Vision for Transportation Safety using Deep Learning and IoT”

    • Author(s): Neerav Sharma, Rahul Dev Garg
    • Conference Paper: 2022 International Conference on Engineering and Emerging Technologies (ICEET)
    • Year: 2022

“Cost Reduction for Advanced Driver Assistance Systems Through Hardware Downscaling and Deep Learning”

    • Author(s): Neerav Sharma, Rahul Dev Garg
    • Journal: Systems Engineering
    • Year: 2022

“Effective Utilization of a Low-Cost Solution for Remote Sensing of Vehicles and Pedestrians”

    • Author(s): Neerav Sharma
    • Conference Paper: 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS)
    • Year: 2021

“Photo and Thermoluminescence of Eu Doped ZnO Nanophosphors”

    • Author(s): Neerav Sharma
    • Journal: Journal of Materials Science: Materials in Electronics
    • Year: 2021

“Dielectric and Optical Studies of CdSe Nanoparticles: Green Synthesis”

    • Author(s): Neerav Sharma
    • Journal: Journal of Materials Science: Materials in Electronics
    • Year: 2020

“Environmental Management Through the Assessment of Impact of Urban Growth Through Remote Sensing Techniques”

    • Author(s): Neerav Sharma
    • Journal: Journal of Applied Sciences
    • Year: 2020

“Application of Change Detection Techniques in the Fields of Environmental Management and Sustainable Development”

    • Author(s): Neerav Sharma
    • Journal: International Journal of Research and Analytical Reviews
    • Year: 2019