Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award

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Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award 

Dr. Liu Suiyang, Xi’an University of Technology, China

Liu Suiyang is from Xianyang, Shaanxi Province, China. She received her B.S. and M.S. degrees in Integrated Circuit Engineering from Xi’an University of Technology in 2019 and 2022, respectively. From 2022 to 2024, she was a Ph.D. student with the Ultra-Large Scale Integrated Circuits Laboratory at Xi’an University of Technology. Since 2021, she has authored 13 articles and contributed to nine inventions. Her research interests include large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits. Ms. Liu was recognized as an Outstanding Graduate of Xi’an University of Technology in 2022 and received the Eighth Shaanxi Province Graduate Innovation Achievement Award in 2024.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Liu Suiyang

Liu Suiyang is a strong candidate for the Best Researcher Award due to her notable academic achievements and contributions to the field of integrated circuit engineering. Her research in large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits demonstrates a high level of technical expertise and innovation.

🎓 Education

  • B.S. in Integrated Circuit Engineering – Xi’an University of Technology (2019)

  • M.S. in Integrated Circuit Engineering – Xi’an University of Technology (2022)

  • Ph.D. Student in Ultra-Large Scale Integrated Circuits Laboratory – Xi’an University of Technology (2022–2024)

💼 Work & Research Experience

  • Ph.D. Student at Ultra-Large Scale Integrated Circuits Laboratory, Xi’an University of Technology (2022–2024)

  • Author of 13 Research Articles (Since 2021) ✍️📄

  • Holder of 9 Invention Patents (Since 2021) 🏅🔬

  • Research Focus:

    • Large-format image sensors 📷

    • High dynamic-range pixels 🌟

    • High-speed column buffer ⚡

    • Organic photodetectors 🏭

    • 3D integrated circuits 🏗️

🏆 Awards & Honors

  • Outstanding Graduate of Xi’an University of Technology (2022) 🎖️

  • Eighth Shaanxi Province Graduate Innovation Achievement Award (2024) 🏅💡

Publication Top Notes:

Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique

High Dynamic Pixel Circuit Based on Variable Integral Capacitance

Inverted ternary OPD based on PEIE

Inverted ternary OPD based on PEIE

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

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Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin, Xinjiang University, China

Patima Nizamidin is a researcher in analytical chemistry specializing in optical waveguide gas sensors, metal-organic framework (MOF) thin films, and the adsorption and transformation of environmental pollutants. She earned her Ph.D. from Xinjiang University, where she has been working in the College of Chemistry since September 2013. Her research focuses on developing advanced gas sensing materials and investigating adsorption kinetics. She has led multiple research projects funded by the National Natural Science Foundation of China and the Xinjiang Uygur Autonomous Region. Patima has published extensively in high-impact journals, contributing significant advancements in optical gas sensing technologies.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Patima Nizamidin

Patima Nizamidin is a highly qualified candidate for the Best Researcher Award based on her strong academic background, extensive research contributions, and impact in analytical chemistry and optical gas sensing.

🎓 Education & Work Experience

  • Ph.D. in Analytical Chemistry from Xinjiang University, China.
  • 👩‍🏫 Work Experience:
    • 2013.09 – Present: Working in the College of Chemistry, Xinjiang University, China.

🏆 Achievements & Research Contributions

  • 🔬 Research Interests:

    • Optical waveguide gas sensors.
    • Metal-organic framework (MOF) thin films and gas adsorption mechanisms/kinetics.
    • Adsorption and transformation of environmental pollutants.

  • 📑 Scientific Research Projects:

    • National Natural Science Foundation of China (NSFC) Grants:
      • (Grant No. 22464018) (2025/01-2028/12).
      • (Grant No. 22164019) (2022/01-2025/12).
    • 🏅 Natural Science Foundation of Xinjiang Uygur Autonomous Region (2021/06-2024/06).
    • 🎓 Youth Foundation of the Education Department of Xinjiang Uygur Autonomous Region (2019/09-2021/07).

  • 📚 Notable Publications:

    • Published multiple high-impact journal papers in Sensors & Actuators B: Chemical, Advanced Optical Materials, Optical & Laser Technology, Journal of Chemical Physics, and more.
    • Research focuses on MOF-based optical gas sensors, optical waveguides, and gas adsorption studies.

🏅 Awards & Honors

  • 🔬 Recognized for outstanding research contributions in the field of analytical chemistry and gas sensing technology.
  • 🏆 Recipient of prestigious NSFC grants for cutting-edge research in optical gas sensing.
  • 🎖 Multiple high-impact publications, contributing significantly to the advancement of MOF-based sensors.

Publication Top Notes:

A Nanoporous Covalent Organic Framework Film-Based Optical Waveguide Sensor for H2S Gas Detection

Rapid development of Nb-BIPA-TC-MOF film based optical wave- guides for the ‘turn-on-off’ detection of acidic-basic gases

Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides

Gas sensing properties of a maghemite-coupled porphyrin thin film–based optical waveguide sensor

 

Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award

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Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award 

Prof. Yoon-Gyung Sung, Chosun University, South Korea

Yoon-Gyung Sung is a distinguished professor in the Department of Mechanical Engineering at Chosun University, South Korea, where he has been a faculty member since 2001. He earned his B.S. degree in machine design from Yeungnam University in 1982, followed by an M.S. degree in mechanical vibration and control from Yonsei University in 1987. He completed his Ph.D. at The University of Alabama in 1997, specializing in the nonlinear control of large flexible systems. Dr. Sung was a postdoctoral fellow at the Korea Atomic Energy Research Institute (KAERI) from 1998 to 2000, where he further developed his expertise in control systems. His research interests encompass nonlinear system control, multiple robotics, input shaping control, and intelligent mechatronics, contributing significantly to advancements in these fields.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Yoon-Gyung Sung is a distinguished academic in the field of mechanical engineering, holding degrees from prominent institutions: a B.S. in machine design from Yeungnam University (1982), an M.S. in mechanical vibration and control from Yonsei University (1987), and a Ph.D. from The University of Alabama, focusing on nonlinear control of large flexible systems (1997). He has been a faculty member at Chosun University since 2001 and currently serves as a full professor.

Education

  • Ph.D. in Mechanical Engineering
    The University of Alabama, USA
    Specialization: Nonlinear Control of Large Flexible Systems
    Year: 1997
  • M.S. in Mechanical Engineering
    Yonsei University, South Korea
    Specialization: Mechanical Vibration and Control
    Year: 1987
  • B.S. in Machine Design
    Yeungnam University, South Korea
    Year: 1982

Work Experience

  • Full Professor
    Department of Mechanical Engineering, Chosun University, South Korea
    Year: 2001 – Present
  • Postdoctoral Fellow
    Korea Atomic Energy Research Institute (KAERI)
    Years: 1998 – 2000

Publication top Notes:

Robust Input Shaping Commands with First-Order Actuators

Development of highly sensitive/durable porous carbon nanotube-polydimethylsiloxane sponge electrode for wearable human motion monitoring sensor

Robust Input Shapers for Acceleration-Limit Actuators

Design of a tribotester based on non-contact displacement measurements

Deflection reduction shaping commands with asymmetric first-order actuators

On–Off Shaping Commands for Asymmetrically Delayed Second-Order Actuators

Prof. Donkyu Baek | Sensing Data Award | Best Researcher Award

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Prof. Donkyu Baek | Sensing Data Award | Best Researcher Award 

Prof. Donkyu Baek, Chungbuk National University, South Korea

Dr. Donkyu Baek (백돈규) is an Associate Professor at the School of Semiconductor Engineering, College of Electrical and Computer Engineering, Chungbuk National University in Cheongju, South Korea. He earned his Ph.D. in Electrical Engineering from KAIST (Korea Advanced Institute of Science and Technology) in 2017, where he also completed his Master’s degree. His research spans energy-efficient system optimization for UAVs (Unmanned Aerial Vehicles), low-power electric vehicles, and IoT applications, with a focus on energy harvesting technologies. Prior to his current position, Dr. Baek served as an Assistant Professor at Chungbuk National University’s School of Electronics Engineering and held postdoctoral research fellowships at KAIST and Politecnico di Torino, Italy. His contributions to energy-efficient design have earned him several accolades, including awards from the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) and the Design Automation Conference (DAC). Dr. Baek has been an active member of several technical program committees and continues to contribute to leading conferences in his field.

Professional Profile:

 

Suitability of Dr. Donkyu Baek for the Best Researcher Award

Dr. Donkyu Baek’s academic career and research contributions reflect an excellent fit for the Best Researcher Award. His multidisciplinary expertise in energy-efficient UAVs, low-power electric vehicles, and on-chip design for IoT applications showcases innovative and impactful research areas with significant real-world implications. Below is a detailed evaluation of his qualifications:

Education

  1. Doctor of Philosophy (Ph.D.)
    • Field: Electrical Engineering
    • Institution: KAIST, Daejeon, Korea
    • Graduation Date: February 2017
  2. Master of Science (M.S.)
    • Field: Electrical Engineering
    • Institution: KAIST, Daejeon, Korea
    • Graduation Date: February 2011
  3. Bachelor of Science (B.S.)
    • Field: Electrical Engineering
    • Institution: Hanyang University, Seoul, Korea
    • Graduation Date: August 2008

Work Experience

  1. Associate Professor
    • Institution: School of Semiconductor Engineering, Chungbuk National University, Cheongju, Korea
    • Dates: March 2024 – Present
  2. Assistant Professor
    • Institution: School of Electronics Engineering, Chungbuk National University, Cheongju, Korea
    • Dates: March 2020 – February 2024
  3. Postdoctoral Research Fellow
    • Institution: Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
    • Dates: January 2018 – January 2020
  4. Postdoctoral Research Fellow
    • Institution: School of Electrical Engineering, KAIST, Daejeon, Korea
    • Dates: February 2017 – December 2017

Publication top Notes:

Low-Power Preprocessing System at MCU-Based Application Nodes for Reducing Data Transmission

Navigation Path Following Platform for a Greenhouse Shuttle Robot Using the State-flow Method

Energy-efficient driving scheduling for heterogeneous electric vehicles with consideration of overtaking

On-Chip Energy Harvesting System with Storage-Less MPPT for IoTs

Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning

Preprocessing at Application Nodes for Reduction of Data Transmission in Edge Computing

Efficient Load Balancing Method using Multi-Hop Network in Edge Computing Environment

Flight History-Aware Battery Temperature Estimator for Unmanned Aerial Vehicles Based on Deep Neural Network

Dr. Yue Wang | Sensor development Award | Best Researcher Award

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Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Assoc Prof Dr. Jin Wang | Field Sensing Award | Best Researcher Award

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Assoc Prof Dr. Jin Wang | Field Sensing Award | Best Researcher Award

Assoc Prof Dr. Jin Wang, China University of Geosciences, China

Dr. Jin Wang is an Associate Professor in the Department of Communication Engineering at China University of Geosciences (CUG) in Wuhan, China, where he has been a faculty member since May 2009. He earned his Doctoral Degree in Physical Electronics from Huazhong University of Science and Technology (HUST), and his research focuses on optical electric field sensors, fluorescence and Raman spectroscopy, and free-space optical communications systems. Dr. Wang’s expertise spans several areas including waveguide analysis, optical design, and multispectral fluorescence methods for environmental monitoring. His notable contributions include research on bismuth germanate (BGO) crystal sensors, oil pollution detection using multispectral techniques, and advancements in free-space optical communication technologies. Dr. Wang has held previous positions as a Postdoctoral Researcher at HUST and has worked in both industry and academic roles in the field of optical and electronic engineering.

Professional Profile:

Summary of Suitability for Best Researcher Award: 

Dr. Jin Wang is an accomplished Associate Professor at China University of Geosciences with a strong research portfolio spanning optical electric field sensors, free-space optical communication, and multispectral fluorescence detection methods. His research covers innovative topics such as waveguide fabrication using femtosecond lasers, oil pollution detection using multispectral fluorescence, and the development of robust communication systems for extreme environmental conditions.

Education:

  • Doctoral Degree in Physical Electronics (09/2000 – 09/2006)
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, China
    Dissertation: “Studies on Adaptive Reception Technology in Optical Wireless Communication”
  • Master’s Degree in Electrical Engineering (09/1997 – 03/2000)
    Ordnance Engineering College, Shijiazhuang, China
    Thesis: “Design of Ultra Wideband Dipole Antenna in the Measurement of Electromagnetic Fields”
  • Bachelor’s Degree in Electrical Engineering (09/1993 – 07/1997)
    Ordnance Engineering College, Shijiazhuang, China

Work Experience:

  • Associate Professor and Associate Director (05/2009 – Present)
    Department of Communication Engineering, China University of Geosciences (CUG), Wuhan, China
    Responsible for teaching, research on optical electric field sensors, and overseeing research projects related to optical communication systems and multispectral fluorescence detection.
  • Postdoctoral Researcher in Communication Engineering (09/2006 – 04/2009)
    Huazhong University of Science and Technology (HUST), Wuhan, China
    Conducted research on free-space optical (FSO) communication systems and developed new techniques for adaptive reception over optical turbulence channels.
  • Photoelectric Design Engineer (11/2005 – 07/2008)
    Wuhan Mengxin Technology CO., LTD, Wuhan, China
    Worked on designing LCOS-based projectors, focusing on optical engine development, cooling systems, and enhancing LED brightness and contrast through optical designs.
  • Digital Circuit Design Engineer (11/1999 – 09/2000)
    Beijing University of Aeronautics and Astronautics, Beijing, China
    Designed digital circuits for fiber optic gyroscopes and worked on output signal simulation systems for fiber optics.

Publication top Notes:

 

Integrated Optical Waveguide Electric Field Sensors Based on Bismuth Germanate

Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

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Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

Assoc Prof Dr. Puhong Duan, Hunan University, China

Puhong Duan is an accomplished researcher and academic currently serving as an Associate Professor at the College of Electrical and Information Engineering, Hunan University, in Changsha, China. With a Ph.D. in Pattern Recognition and Intelligent Systems from Hunan University, which he completed in October 2021, Puhong has established himself as a leading expert in the fields of hyperspectral image classification, multi-source data fusion, and object detection. His academic journey began with a Bachelor’s degree in Mathematics and Statistics from Suzhou University, followed by a Master’s degree in Mathematics from Hefei University of Technology. Puhong’s career at Hunan University has seen a steady progression, starting as an Assistant Researcher in 2021, advancing to Associate Researcher in January 2023, and finally being appointed as an Associate Professor in April 2024. His research contributions have significantly advanced the understanding and application of intelligent systems in image processing and data fusion, making him a prominent figure in his field.

Professional Profile:

ORCID

Summary of Suitability for the Research for Young Scientist Award:

Dr. Puhong Duan is an accomplished researcher in the field of pattern recognition, intelligent systems, and remote sensing, with a specific focus on hyperspectral image classification, multi-source data fusion, and object detection. His academic background, including a Ph.D. from Hunan University, and his rapid progression through research and academic positions at Hunan University, showcase his dedication and expertise.

🎓 Education:

  • Ph.D. in Pattern Recognition and Intelligent System
    Hunan University, Changsha, China (Sep. 2017 – Oct. 2021)
  • M.S. in Mathematics
    Hefei University of Technology, Hefei, China (Sep. 2014 – May 2017)
  • B.S. in Mathematics and Statistics
    Suzhou University, Suzhou, China (Sep. 2009 – Jul. 2014)

💼 Working Experience:

  • Associate Professor
    Hunan University, Changsha, China (Apr. 2024 – Present)
  • Associate Researcher
    Hunan University, Changsha, China (Jan. 2023 – Mar. 2024)
  • Assistant Researcher
    Hunan University, Changsha, China (Nov. 2021 – Dec. 2022)

🔬 Research Interests:

  • Hyperspectral Image Classification 🌈
  • Multi-Source Data Fusion 🔗
  • Object Detection 🔍

Puhong Duan is a dedicated scholar and innovator in the field of pattern recognition and intelligent systems, focusing on advanced techniques like hyperspectral image classification and multi-source data fusion. His work significantly contributes to the progress of object detection technologies, pushing the boundaries of what’s possible in modern image analysis.

Publication top Notes:

Channel-Layer-Oriented Lightweight Spectral-Spatial Network for Hyperspectral Image Classification

Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation

EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

A Robust Infrared and Visible Image Registration Method for Dual-Sensor UAV System

Edge-Guided Hyperspectral Change Detection

Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification

Feature-Band-Based Unsupervised Hyperspectral Underwater Target Detection Near the Coastline

 

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

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Mr. Mohammad Marjani | Remote sensing | Best Researcher Award 

Mr. Mohammad Marjani, Memorial University of Newfoundland, Canada

Mohammad Marjani is a dedicated researcher and educator currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Memorial University of Newfoundland, specializing in advanced remote sensing and deep learning algorithms for environmental monitoring under the supervision of Dr. Masoud Mahdianpari. He holds a Master of Science in Geospatial Information System (GIS) from K.N.Toosi University of Technology, where he graduated with a stellar GPA of 4.0/4.0, focusing on wildfire spread modeling using deep learning techniques. His academic journey began with a Bachelor of Science in Geodesy and Geomatic Engineering from the same university, where he researched 3D change detection methods in point clouds.Marjani’s research interests span deep learning, machine learning, spatio-temporal modeling, and remote sensing, with particular emphasis on natural hazards like wildfires and methane monitoring. He has accumulated valuable teaching experience as a Teaching Assistant at both the Iran National Geographical Organization and K.N.Toosi University, imparting knowledge in image processing, MATLAB, and Python programming.In addition to his academic endeavors, Marjani is a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence in geomatic and geospatial engineering. His commitment to advancing the field through both research and education underscores his role as a rising expert in geospatial technologies and environmental monitoring.

 

Professional Profile

🎓 EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
📅 Sep 2023 – Present
📍 Memorial University of Newfoundland, St. John’s, NL, Canada
🌐 Advanced remote sensing and deep learning algorithms for environment monitoring
👨‍🏫 Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
📅 Sep 2020 – Nov 2022
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 18.58/20 (4.0/4.0)
🔥 The wildfire spread modeling using deep learning techniques
👨‍🏫 Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
📅 Sep 2016 – Sep 2020
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 16.22/20 (3.34/4.0)
📐 Thesis Title: Evaluation of 3D change detection methods in point clouds
👨‍🏫 Supervisor: Dr. H. Ebadi

🔬 RESEARCH INTERESTS

  • Deep Learning 🧠
  • Machine Learning 🤖
  • Spatio-temporal Modeling 🌍
  • Wildfire 🔥
  • Remote Sensing 🛰️
  • Natural Hazards 🌪️
  • Wetland Monitoring 🌿
  • Methane Monitoring 🌱

💼 EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
🖥️ Image Processing
📅 Sep 2019 – Jan 2020

  • Taught MATLAB programming language 💻
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Teaching Assistantships, K.N.Toosi University of Technology
🖥️ Computational Intelligence
📅 Sep 2022 – Jan 2023

  • Taught Python programming language 🐍
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Co-Founder of GeoHoosh
🌐 Educational Group
📅 Sep 2023 – Present

  • One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian 🇮🇷
  • Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields 🧭

Publications Notes:📄

Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach

CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction