Umair Jalil Malik – Civil Engineering – Young Scientist Award

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 Mr. Umair Jail Malik distinguished academic and researcher in the  Civil Engineering. He is a dedicated Laboratory Engineer at NUST, Pakistan since September 2023, where he delivers engaging lectures to undergraduate students, offering guidance and support in designing and executing research and laboratory experiments. With a keen eye for detail, he meticulously manages lab maintenance and operations, ensuring a conducive environment for academic pursuits. His role extends to conducting lab testing and preparing comprehensive reports to document findings.

Prior to this role, he served as a Junior Engineer at INN Consulting Engineers, where he adeptly prepared reports, designs, and working drawings for various projects. Collaborating closely with architects, he integrated their perspectives seamlessly into designs for client review and approval, showcasing his ability to work within interdisciplinary teams.

His journey in the field began as a Research Assistant, contributing significantly to diverse industrial and commercial projects under the guidance of Dr. Rao Arsalan Khushnood, the Head of Research. Here, he honed his research skills, conducted thorough data analysis, and meticulously documented project progress.

Moreover, he gained valuable experience in construction project management during his tenure at the Project Management Office – NUST, where he excelled in tasks such as cost estimation and quantity takeoff. Earlier, during his internship at Universal Construction Company (Pvt.) Ltd., he developed proficiency in concrete takeoff and structure planning, alongside mastering tools like AutoCAD and Primavera.

 

🌐 Professional Profiles

Educations📚📚📚

He graduated with a Bachelor of Science in Civil Engineering from the National University of Science and Technology (NUST) in Islamabad, Pakistan, in June 2023. With a major in Structural Engineering, he achieved an impressive CGPA of 3.81 out of 4.00. His academic journey culminated in a thesis titled “Evaluation of Effective Stiffness of High-performance Fiber Reinforced Cement Composites (HPFRCC)/Engineered Cementitious Composite at the Material Level, Cross-section Level, and Structural Level.”

Throughout his undergraduate years, he demonstrated a strong commitment to academic excellence and a keen interest in structural engineering. His thesis focused on evaluating the effective stiffness of advanced materials such as High-performance Fiber Reinforced Cement Composites (HPFRCC) and Engineered Cementitious Composite across various levels, showcasing his dedication to exploring innovative solutions in the field.

.Research Interest

 >  High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite (ECC)
>  Engineering Geopolymer Composite (EGC)
>  Innovative & Sustainable Concrete Technology/3D Printed Concrete
>  Micro-Mechanical Modelling
>  Applications of ML in civil engineering
>  Seismic design
>  Finite Element Analysis
>  Performance Based Design

🏆🏆Award and Honour🏆🏆

He received recognition and accolades for his academic and research achievements. Notably, he participated in the National Competition on Design of Long Span Buildings organized by NED UET Karachi, Pakistan, in February 2022. His project involved the design and performance-based seismic evaluation of a long-span steel structure for an aircraft hangar, securing the 5th position among 30 teams representing 12 different universities across Pakistan.

Additionally, he earned the NUST Merit-Based Scholarship for outstanding academic performance in the 2nd, 3rd, 5th, 6th, and 7th semesters of his undergraduate studies. This scholarship is awarded to the top three students in each class based on GPA, highlighting his consistent excellence throughout his academic journey.

Furthermore, he received research funding for his Final Year Project from Prime Engineering & Testing Consultants, underscoring the quality and relevance of his research endeavors. These honors and awards reflect his dedication, proficiency, and noteworthy contributions to the field of civil engineering and structural design.

He has pursued several professional development courses to enhance his skills and expertise. These include ongoing coursework in Supervised Machine Learning covering Regression and Classification through Stanford University & DeepLearning.AI on Coursera. He also completed an AUTOCAD course from June 2021 to September 2021 as part of the DigiSkills Training Program offered by Virtual University. Additionally, he undertook a course on Building Information Modeling (BIM) Application for Engineers from National Taiwan University on Coursera in April 2021. Furthermore, he enhanced his proficiency in Excel with the Essentials course from Macquarie University, Sydney, Australia, on Coursera in December 2020. Moreover, he sharpened his communication skills by completing the Speak English Professionally course from the Georgia Institute of Technology on Coursera in December 2020. His dedication to continuous learning and acquiring new skills underscores his commitment to professional growth and development.

Conferences and Seminars

He attended several seminars and international events focused on earthquake engineering and structural dynamics. One such event was on “Earthquake Risk Reduction in Pakistan – Issues and Challenges” held on 16/11/2022, where Dr. Fawad Ahmed Najam delivered a talk. Another significant seminar titled “Modeling and Analysis of Tall Buildings and Bridges” took place on 21/02/2022, featuring Dr. Naveed Anwar, the Vice President of the Asian Institute of Technology (AIT), Thailand, as the speaker. Moreover, he participated in the “International Seminar on Earthquake Engineering and Structural Dynamics” on 24/11/2023, where Dr. Igor Tomic shared insights. These events, held at the SCEE Seminar Hall, NICE, H-12, NUST, Islamabad, provided valuable knowledge and networking opportunities in the field of earthquake engineering and structural dynamics.

📝🔬Publications📝🔬

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224

Wenfu Peng -Vegetation dynamic monitoring- Best Researcher Award

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Wenfu Peng -Vegetation dynamic monitoring

Prof Dr. Wenfu Peng  distinguished academic and researcher in the field of Vegetation dynamic monitoring. In 2002, he embarked on a postgraduate journey, undertaking Master’s studies at the College of Resources and Environment at Sichuan Normal University. Building on this foundation, he pursued a Doctorate, completing his PhD from the State Key Laboratory of Geological Disaster Prevention and Geological Environmental Protection at Chengdu University of Technology in 2009. Throughout his academic trajectory, he demonstrated a steadfast commitment to advancing his understanding of geography and related disciplines.

Eduvation

He began his educational journey in 1985, earning a Bachelor’s Degree in Geography from the Department of Geography at Sichuan Normal University, where he dedicated himself to the study of geographic principles and phenomena. After a brief hiatus, from 1992 to 1995, he continued his academic pursuits at Southwest University (formerly Southwest Normal University), further expanding his knowledge in the field.
Professional Profiles:

 

Academic Positions:

Since July 2005, he has held the esteemed position of Professor at the School of Geography and Resource Science at Sichuan Normal University, where he has made significant contributions to academia. His expertise encompasses a range of teaching activities, primarily focusing on postgraduate courses such as “Understanding and Analysis of Remote Sensing Image Science.” Additionally, he imparts his knowledge to undergraduate students through courses like “GIS Spatial Analysis,” “GIS Principles,” “Territorial Planning,” and other related subjects. Throughout his tenure, he has been dedicated to fostering a comprehensive understanding of geographical and spatial sciences among his students, leaving an indelible mark on the academic landscape.

Research Overview:

Throughout the years, he has actively engaged in a multitude of research projects, showcasing his commitment to advancing knowledge in various domains. From 2014 to 2017, he spearheaded the National Natural Science Foundation of China Project titled “Maintenance Mechanism of Land Ecological Security in Chengdu Plain based on LUCC Disturbance” (Project No. 41371125), delving into the intricate dynamics of land use and ecological security. Subsequently, from 2018 to 2020, he directed his efforts towards the Humanities and Social Science Planning Project of the Ministry of Education (Project No. 17YJA850007), contributing valuable insights to the intersection of social sciences and education.

In the earlier years, his involvement in key projects at Sichuan Normal University included the 2013-2015 Key Cultivation Project, “Ecological Security Research of Chengdu Plain Based on LUCC” (Project No. 13ZDL03), and the 2014-2015 Sichuan Provincial Department of Education Project, “Research on Ecotourism Development Model of West Sichuan Plateau Based on GIS” (Project No. LYC13-11). His diverse expertise also extended to national initiatives, such as the National Science and Technology Major Project’s special topic on “Water Pollution Control and Treatment” (Project No. 2009ZX07106-004-01-02), specifically focusing on the spatial and temporal distribution of water resources and salinity in the Bosten Lake Basin. Additionally, his contributions were integral to the National Science and Technology Support Program’s topic on “Research on Rural Housing Planning, Design, and Construction Standards” (Project No. 2008BAJ08B09-5), concentrating on the formulation of standards for village and township rural community planning. His extensive involvement in these projects reflects his dedication to advancing scientific understanding and addressing critical issues in various fields.

Awards

In recognition of his notable contributions to the field, he was honored with the third prize of the Sichuan Science and Technology Progress Award in 2011 for his exemplary project titled “Research on Urban Land Use Change and Its Ecological Environment Effect Based on RS & GIS.” Beyond his research endeavors, he actively engages in social contributions by serving as a review expert for various international journals, demonstrating his commitment to advancing scholarly discourse and maintaining rigorous standards within the academic community.

Moreover, he has assumed significant roles in shaping academic and scientific landscapes. His responsibilities include serving as an evaluation expert for the Degree Center of the Ministry of Education, China, contributing to the assessment of educational standards. Additionally, he has lent his expertise as a science and technology plan evaluation expert for the Provincial Department of Science and Technology in Sichuan Province, playing a pivotal role in evaluating and shaping regional scientific initiatives. Further showcasing his multifaceted involvement, he serves as a technical expert for territorial ecological restoration support at the Provincial Department of Natural Resources, Sichuan Province, underscoring his commitment to environmental sustainability and ecological well-being. Through these diverse roles, he continues to make a meaningful impact in academia, research, and the broader scientific community.

Publication

1.Quantifying urban expansion and its driving forces in Chengdu, western China  – 2023                                                                  Wang, G., Peng, W., Zhang, L., …Shi, J., Wang, L.

2. Quantifying the impacts of natural and human factors on changes in NPP using an optimal parameters-based geographical detector -2023

3.Vegetation EVI changes and response to natural factors and human activities based on geographically and temporally weighted regression-2023

4. Assessment of Land Ecological Security from 2000 to 2020 in the Chengdu Plain Region of China                                    Zhang, L., Peng, W., Zhang, J. – 2023

5. Estimate of population density and diagnosis of main factors of spatial heterogeneity in the metropolitan scale,     western China  Wang, G., Peng, W., Zhang, L. -2023

6. Spatiotemporal variations and driving mechanisms of vegetation coverage in the Wumeng Mountainous Area, China

Syarawi Sharoni – Remote Sensing – Network Analytics Academic Achievement Award

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Syarawi Sharoni – Remote Sensing

Dr. Syarawi Sharoni  distinguished academic and researcher in the field Remote Sensing .  He is a lecturer at the Geophysics Department within the School of Physics at Universiti Sains Malaysia. With a profound passion for Earth science, he possesses a strong background in oceanography and microwave remote sensing. His research primarily revolves around exploring Earth’s extreme natural phenomena through the utilization of satellite-based platforms. Currently, he is particularly focused on observing colossal tropical cyclone events on a global scale. Leveraging his extensive experience and expertise in MATLAB programming, coupled with proficiency in machine learning, he adeptly handles high-volume data and employs unique processing techniques in his investigations.

Eduvation

In 2010, he embarked on his academic journey at Selangor Matriculation College, achieving a perfect score of 4.00 out of 4.00 in the Foundation of Physical Science. This solid foundation paved the way for his pursuit of higher education, leading him to Universiti Sains Malaysia, where he earned a Bachelor of Science (Hons.) in Geophysics in 2014 with an impressive GPA of 3.44 out of 4.00.

Driven by a passion for exploring the depths of the ocean, he continued his academic endeavors at the University of Southampton in the United Kingdom. In 2016, he completed a Master of Research in Ocean Sciences, achieving a second-class classification for his exemplary work in the field.

Undeterred by the challenges of academia, he further honed his expertise in remote sensing, specializing in Scale B1 with minor corrections, during his doctoral studies at Universiti Teknologi Malaysia. In 2022, he successfully earned his Ph.D. in Remote Sensing, showcasing his dedication and commitment to advancing knowledge in this specialized field. These academic achievements collectively reflect his unwavering pursuit of excellence and his contributions to the realms of geophysics, ocean sciences, and remote sensing.

Professional Profiles:

Professional Experience

He began his professional journey in 2013 as a trainee at the Geoscience Division of the Mineral and Geoscience Department in Malaysia. Following this initial experience, he transitioned to the private sector, where he served as an Imaging Geophysicist in the Imaging and Engineering Department at Petroleum Geo-Service (PGS)(M) Sdn.

Bhd. from 2014 to 2015. In 2017, he further enriched his career by taking on the role of a tutor within the School of Physics at Universiti Sains Malaysia. Demonstrating a commitment to both practical applications and academic pursuits, he currently holds the position of Senior Lecturer in the Geophysics Group at the School of Physics, Universiti Sains Malaysia, a role he has been dedicated to since 2022. This professional journey underscores his diverse experience, encompassing training, industry work, and academic contributions in the field of geophysics.

Fellowships / Awards  

He has been affiliated with Universiti Sains Malaysia as a fellow from 2015 to 2022, during which he was granted funding for both his Master’s and Ph.D. studies. This period of academic engagement and support culminated in significant achievements, including the receipt of a Silver Medal in the Graduate Research Exhibition (GREx) in 2021. His academic journey commenced earlier with a scholarship from the Government of Malaysia, which supported his Bachelor of Science studies from 2011 to 2014.

Notably, he demonstrated academic excellence during his undergraduate years by earning a place on the Dean’s List in two semesters. Additionally, his commitment to the field was recognized in 2013 when he secured the 3rd Place in the GeoQuiz Petroleum & Geoscience Conference Exhibition. This rich academic and research background illustrates his dedication to advancing knowledge and achieving excellence in geophysics.

Supervisions                                                                                                                                                                      

In his role as a Senior Lecturer within the Geophysics Group at the School of Physics, Universiti Sains Malaysia, he is actively involved in supervising various research projects at different academic levels. Currently, Duan Liyuan is pursuing a Ph.D., focusing on the high-precision InSAR monitoring and identification of large-scale geological disasters. Another Ph.D. candidate, Khan Muhammad, is engaged in advanced quantitative interpretation and seismic attributes analysis for reservoir characterization and fracture prediction. At the master’s level, Nik Raisyha is working on a project that involves the tropical cyclone characterization from microwave remote sensing observation.

In addition to supervising postgraduate research, he guides undergraduate students on diverse projects. Among the ongoing Bachelor of Science projects, Vikna and Kah Ching are investigating the influence of the Madden Julian Oscillation on the South China Sea Region. Another team, Nelly Anuar and Aishah Alimi, is exploring the impact of the Indian Ocean Dipole on the same region, while Asilah Abdul Hannan and Nurul Izzah Mustafa have successfully completed their project on the variations of tropical cyclone activity in the South China Sea in 2023. Furthermore, Nurin Nadhirah Hairi Zahril and Syasya Aqilah Abdul Razak have also completed their investigation on the influence of ENSO activity on sea level variations in the marginal South China Sea in 2023. This diverse range of research projects underscores his commitment to fostering a comprehensive understanding of geophysics and related phenomena across different academic levels.

publications

Tumlumbe Juliana Chengula – Computer Vision -Best Researcher Award

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Tumlumbe Juliana Chengula  – Computer Vision

Tumlumbe Juliana Chengula  a distinguished academic and researcher in the field of Computer Vision. He possesses proficiency in several programming languages, with a focus on Python. His expertise extends to utilizing various tools such as Tableau, QGIS, PyTorch, and Tensorflow, showcasing a well-rounded skill set in data science and machine learning. Additionally, he has earned certifications in Data Science Tools, SQL for Data Science, and Machine Learning with Python, all from IBM. Furthermore, he has completed the “Using Python for Research” certification from Harvard University, underscoring his commitment to continuous learning and staying at the forefront of relevant technologies in the field. These skills and honors collectively highlight his comprehensive knowledge and dedication to the dynamic and evolving realm of data science.

Eduvation

His master’s studies at Amirkabir University of Technology (AUT) in Tehran, Iran, from September 2018 to October 2021, he specialized in Electrical Engineering with a focus on Control. During this period, he maintained a GPA of 3.5/4, and his final project earned a perfect score of 4/4. Prior to his master’s degree, he completed his Bachelor’s in Power Electrical Engineering at Yazd University, Iran, from September 2014 to August 2018, achieving a GPA of 3.1/4.

Professional Profiles:

Employment Experience
As a Graduate Research Assistant at South Carolina State University since August 2022, she has been actively engaged in the collection, recording, and analysis of transportation data, utilizing proficient tools such as Python, Tableau, PowerBI, and QGIS. Her research focus involves the application of cutting-edge technologies, including Machine Learning, Deep Learning, and Artificial Intelligence, to address challenges within the transportation industry.
Over the course of her tenure, she has showcased her contributions by delivering six impactful presentations on her research in Machine Learning and Artificial Intelligence at seven distinguished transportation conferences. Furthermore, her commitment to scholarly dissemination is evident through the submission and acceptance of two peer-reviewed articles, which are slated for presentation at the prestigious 2024 Annual Transportation Research Board conference. These accomplishments underscore her dedication to advancing knowledge and providing innovative solutions to enhance the efficiency and effectiveness of the transportation sector.
Research Project Highlights
She has made notable contributions to the field of transportation through her research endeavors, addressing critical issues with cutting-edge technologies. One of her significant projects involves enhancing road safety through Ensemble Learning, specifically in detecting driver anomalies using vehicle inbuilt cameras. In another study, she employed Topic Modeling and Categorical Correlations to unveil patterns associated with autonomous vehicle disengagements, shedding light on crucial aspects of autonomous driving systems.
Furthermore, she delved into the realm of quantum computing to improve classification performance in traffic sign recognition, utilizing an optimized hybrid classical-quantum approach. Additionally, her research extends to the realm of sustainable urban mobility, where she has applied Explainable Artificial Intelligence to predict bike-sharing station capacity. These diverse projects showcase her proficiency in utilizing advanced technologies and methodologies to address multifaceted challenges within the transportation sector.
Publication

Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras

Machine Learning with Applications
2023-12 | Journal article
DOI: 10.1016/j.mlwa.2023.100510
CONTRIBUTORS: Tumlumbe Juliana Chengula; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi

Mohamed Shoaib | Applications of Deep Learning

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Mohamed Shoaib |Applications of Deep Learning

Academician/Research Scholar

NTU (Nanyang Technological University, Singapore) DOCTOR OF PHILOSOPHY at the School of Computer Science and Engineering (SCSE) (FULL-TIME) JAN 2023. Working as a full-time Researcher in the fields of Machine Learning, Data Science, and Artificial Intelligence. Working on applications like how to apply AI in Biomedical, Agriculture, and
communication.

 

Professional Profiles:

Education:

  • Information Technology Institute (ITI)
    Diploma in Artificial Intelligence powered by EPITA School of Engineering and Computer Science. APR 2021 – JAN 2022
  • Faculty of Engineering, Menoufia University.
    Master’s degree in Engineering Science. Subject: Utilization of Artificial Intelligence Techniques in Healthcare Applications. (Pre-Master GPA: 3.46/4) Oct 2019 – MARCH 2022

CERTIFICATIONS

  • Udacity Certified -AWS Machine Learning Foundations Nanodegree Program (2021)
  • Data Camp Certified- Data scientist, Data analyst, and Python programming Career Tracks. (2021.
  • IBM Certified – ML, Data Science, NLP, and AI courses. (2020).
  • Udemy Certified – ML, Data Science, NLP, and DL courses. (2019).

publications

Alphonse Kayiranga | Geoinformatics applications

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Dr. Alphonse Kayiranga | Geoinformatics applications

Academician/Research Scholar

Congratulations , Dr. Alphonse Kayiranga | Geoinformatics applications on winning the esteemed Best Researcher Award  from sciencefather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

 

Professional Profiles:

Education:

  • Skilled in remote sensing and geo-informatics applications in ecohydrology and landscape
    monitoring and management. Currently working on modeling land and atmosphere
    interactions, specifically modelling the eco-hydro-climate characteristics using different
    process-based models; Remote sensing, in-situ observations and reanalyzed datasets; and
    Geo-Informatics techniques. Skilled also in computer programming using various language
    and machine learning such as Python, R for data science and Google earth engine (GEE).
  • Since July 2022-Present (December 2023): Special research assistant (post-doctoral)
    position at Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
    (XIEG-CAS). State Key Laboratory of Desert and Oasis Ecology. Responsibility:
    Conducting Eco-hydrological research in Aral Sea basin.
  • Since September 2018- July 2022: PhD of research in Institute of Geographic Sciences and
    Natural Resources Research, Chinese Academy of Sciences (IGSNRR-CAS), Key
    Laboratory of Resource and Environmental Information System. During this PhD,  He have
    specialized in modelling the ecohydro-climate characteristics using different process-based
    models. My PhD thesis topic was: Impacts of the changes in regional climate and land use
    on forest dynamics and ecosystem services in the greater Mekong subregion. Awarded a
    doctor of Philosophy (PhD) in Cartography and GIS.

publications

  • Understanding grain virtual water flux dynamics and drivers from a socio-ecohydrological perspective: A case study of landlocked developing countries of Africa
  • Anthropogenic activities dominated tropical forest carbon balance in two contrary ways over the Greater Mekong Subregion in the 21st century
  • Virtual water transfers in Africa: Assessing topical condition of water scarcity, water savings, and policy implications
  • Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001–2020

The implementation of genetic algorithm for the identification of DNAPL sources

  • Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios
  • Evaluation the WRF model with different land surface schemes: Heat wave event simulations and its relation to pacific variability over Coastal region, Karachi, Pakistan