Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

Posted on by ScienceFatherLeave a Comment on Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

🌐 Professional Profile

Educations📚📚📚

She earned her Doctor of Philosophy in Computer Science from the University of Illinois at Chicago in Fall 2019, with her dissertation titled “Deadlock Detector and Solver (DDS).” She completed her Master of Science in Computer Science at Bowling Green State University in Fall 2011, with her thesis titled “A Cloud Computing Framework for Computer Science Education.” Her academic journey began with a Bachelor of Science in Computer Science from Imam Abdulrahman bin Faisal University (formerly Dammam University) in Fall 2006, where she graduated with honors.

In her academic career, she began as an Instructor at New Horizons Institute in Khobar, KSA, during Summer 2007, where she trained students at various levels on ICDL and IC3 certificates and taught courses in Computer Mathematics, Secretary duties, office management, and office technology. She then taught basic computer skills and Microsoft Office applications at Dammam University (now Imam Abdulrahman bin Faisal University) in Fall 2007. Prior to this, she worked as a Teacher at Riyadh Al-Islam Schools in Spring 2007, where she taught basic computer skills to girls, ranging from elementary to high school students.

Since Fall 2012, she has been serving as a faculty member at Princess Nourah Bint Abdulrahman University in Riyadh, KSA

Work experience

As a Lecturer and Assistant Professor, she teaches a range of courses including Foundations of Programming (GN 044), Discrete Structures (CS100), Programming Language I (CS110), Programming Language II (CS111), Computer Organization (CS206), Natural Language Processing (CAI 350), Graduation Project I (CS487), and Graduation Project II (CS488). She is involved in designing and recording a programming basics course and a data structures course as electronic courses for the programming diploma program. She participates in faculty committees and collaborative initiatives to improve the curriculum and attends seminars to stay updated on the latest trends in technology and teaching methods. She also serves as a scientific contact at the University of Southern California in the field of video game design and is the Computer Sciences’ program leader.

In her non-academic experience, she served as Vice President, Director of Public Relations, and Director of the Cultural and Information Committee at King Abdulaziz and his Companions Foundation for the Gifted from Summers 2002 to 2007. During her tenure, she built a summer science program for talented students, encouraged their inventiveness, and gained significant managerial skills through her six years of work with the President of the program.

Certifications or Professional Registrations:

She holds several notable certifications and professional registrations, including membership in the Golden Key International Honor Society and the Phi Kappa Phi Honor Society. She also possesses the Huawei HCIA-AI Certificate. Her current professional memberships include the Computing Research Association, the Association for Computing Machinery (ACM), and the IEEE Computer Society.

 

Honors and Awards:

She has received several honors and awards, including participation in the CRA-Women Grad Cohort Workshop, and has been recognized with the ACM’s SRC Travel Award and the HPDC Travel Award. Her service activities encompass planning programs and activities for talented students, building and designing electronic courses, and supervising the student magazine for the College of Computer and Information. She is also involved in various committees, including judging and supervising hackathons.

In terms of granted projects, she is currently working on the Researchers Supporting Project at Princess Nourah bint Abdulrahman University (Project number: PNURSP2023R409) for the year 2023. She is also leading two projects funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia: “Detection and Identification of Plant Leaf Diseases using YOLOv4” (Project number RI-44-0618) from November 2022 to May 2024, and “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women” (Project number WE-44-0279) from November 2022 to May 2024.

📝🔬Publications📝🔬

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Om Prakash – Computer Vision – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Om Prakash – Computer Vision – Best Researcher Award

Om Prakash – Computer Vision – Best Researcher Award

Dr. Om Prakash  distinguished academic and researcher in the field Computer Vision.

🌐 Professional Profile

Educations📚📚📚

He earned his Doctor of Philosophy from the University of Allahabad, Allahabad, U.P., India, in November 2014. He has extensive experience in academia and industry. Since March 2020, he has been an Assistant Professor at Academic Pay Level-10 in the Department of Computer Science and Engineering, School of Engineering and Technology, HNB Garhwal University, Srinagar Garhwal, Uttarakhand, India. From May 2019 to February 2020, he worked as a Computer Vision Scientist at Inferigence Quotient LLP, Bengaluru, Karnataka, India. Prior to this, he served as an Assistant Professor in the Department of Computer Science and Engineering at NIRMA University, Ahmedabad, Gujarat, India, from May 2018 to April 2019. Between March 2016 and April 2018, he was a faculty member at the Centre of Computer Education, University of Allahabad, U.P., India. He also completed a Postdoctoral Fellowship at the Gwangju Institute of Science and Technology, South Korea, from March 2015 to February 2016. His earlier experience includes serving as a faculty member at the Centre of Computer Education, University of Allahabad, U.P., India, from August 2007 to February 2

Research Interests

• Computer Vision
• Image and Video Processing
• Wavelet transforms
• Multisensory data fusion
• Video surveillance
• Machine Learning/Deep Learning
• Thermography
• Medical Imaging

Book Edited as Guest Editor

AKS Kushwaha, Om Pakash, M. Khare, J. Gwak, N.T. Binh, “Visual and Sensory Data Processing
for Real Time Intelligent Surveillance System”, Multimed Tools Appl, vol.81, pp. 42097–42098
(2022). https://doi.org/10.1007/s11042-022-14263-3, Springer

 

📝🔬Publications📝🔬

1. Pratibha Maurya, Arati Kushwaha, Ashish Khare, Om Prakash, Balancing Accuracy and
Efficiency: A Lightweight Deep Learning Model for Covid-19 Detection” Journal
Engineering Applications of Artificial Intelligence. vol. 136, Part B, July 2024, 108999,
ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2024.108999., Elsevier. (SCI).
2. Arati Kushwaha, Ashish Khare, Om Prakash, Human activity recognition algorithm in video
sequences based on the fusion of multiple features for realistic and multi-view
environment. Multimedia Tools and Applications. vol.83, pp. 22727-22748, August 2024,
Springer (SCI)
(https://doi.org/10.1007/s11042-023-16364-z)
3. Neha Sisodiya, Nitant Dube, Om Prakash, Priyank Thakkar, Scalable Big Earth
Observation Data Mining Algorithms: A Review. Earth Science and Informatics, vol.16,
pp. 1993–2016, June 2023, Springer (SCI). https://doi.org/10.1007/s12145-023-01032-5.
4. Ashish Khare, Arati Kushwaha and Om Prakash, Human Activity Recognition in a Realistic
Unconstrained and Multiview Environment using 2D-CNN. Journal of Artificial
Intelligence and Technology (JAIT). vol.3, pp. 100-107, May 2023, Intelligence Science
and Technology Press. (ISTP) (Scopus). (https://doi.org/10.37965/jait.2023.0163)
5. Arati Kushwaha, Ashish Khare, Om Prakash, “Micro-network-based deep convolutional
neural network for human activity recognition from realistic and multi-view visual
data”, Neural Comput & Applic (2023). vol.35, pp.13321–13341, Springer (SCI).
(https://doi.org/10.1007/s00521-023-08440-0)
6. Arati Kushwaha, Ashish Khare, Om Prakash and Manish Khare, “Dense optical flow
based background subtraction technique for object segmentation in moving camera
environment”, IET Image Processing, vol. 14, no. 14, pp. 3393-3404, December 2020, IET
Publication. (SCI)
(https://doi.org/10.1049/iet-ipr.2019.0960).
7. Mounika B. Reddy, Om Prakash, Ashish Khare, “Keyframe extraction using Pearson correlation
coefficient and color moments,”. Multimedia Systems, vol. 26, pp.267–299 (2020), Springer. (SCI)
(https://doi.org/10.1007/s00530-019-00642-8).

8. Mounika B. Reddy, Om Prakash, Ashish Khare, “Video Superpixels Generation through
Integration of Curvelet transform and Simple Linear Iterative Clustering”, Multimedia Tools and
Applications, vol. 78, pp. 25185–25219, March 2019, Springer. (SCI)
(https://doi.org/10.1007/s11042-019-7554-z).

9. Om Prakash, Chang Min Park, Ashish Khare, Moongu Jeon, Jeonghwan Gwak, “Multiscale
Fusion of Multimodal Medical Images using Lifting Scheme based Biorthogonal Wavelet
Transform,” Optik, vol. 182, pp.995-1014, April 2019, Elsevier (SCI)
(https://doi.org/10.1016/j.ijleo.2018.12.028)
10. Manish Khare, Om Prakash and Rajneesh Kumar Srivastava, “Combining Zernike moment and
Complex wavelet transform for Human object classification,” Int. J. Computational Vision and
Robotics, May 2018, vol.18, no.2, pp.140-167, Inderscience Publishers. (Scopus)
(https://doi.org/10.1504/IJCVR.2018.091983)
11. Om Prakash, Jeonghwan Gwak, Manish Khare, Ashish Khare, Moongu Jeon, “Human detection in
complex real scenes based on combination of biorthogonal wavelet transform and Zernike
moments,” Optik, vol. 157, pp. 1267-1281, March 2018, Elsevier. (SCI)
(https://doi.org/10.1016/j.ijleo.2017.12.061)
12. Richa Srivastava, Om Prakash and Ashish Khare, “Local Energy based Multimodal Medical
Image Fusion in Curvelet Domain,” IET Computer Vision, vol.10, issue 6, pp. 513-527, 2016. IET
digital library.(SCI)
(https://doi.org/10.1049/iet-cvi.2015.0251)
13. Om Prakash and Ashish Khare, “Tracking of moving object using energy of Biorthogonal wavelet
transform,” Chiang Mai Journal of Science, vol.42, no.3, pp. 783-795, July 2015, Chiang Mai
University. (SCI)
(https://thaiscience.info/Journals/Article/CMJS/10972713.pdf)
14. Om Prakash and Ashish Khare, “Medical Image Denoising based on Soft thresholding using
Biorthogonal Multiscale Wavelet Transform,” International Journal of Image and Graphics, vol.
14, no. 1 & 2, pp. 1450002 (30 pages), March 2014, World Scientific. (SCI)
(https://doi.org/10.1142/S0219467814500028)
15. Alok Kumar Singh Kushwaha, Chandra Mani Sharma, Manish Khare, Om Prakash and Ashish
Khare, “Adaptive real-time motion segmentation technique based on statistical background model,”
The Imaging Science Journal, vol. 62, no.5, pp. 285-302, 2014, Royal Photographic Society.(SCI)
(https://doi.org/10.1179/1743131X13Y.0000000056)
16. Rajiv Singh, Richa Srivastava, Om Prakash and Ashish Khare, “Multimodal medical image fusion
in Dual tree complex wavelet domain using maximum and average fusion rules,” Journal of
Medical Imaging and Health Informatics, vol. 2, no. 2, pp. 168-173, June 2012, American
Scientific Publishers. (SCI)
(https://doi.org/10.1166/jmihi.2012.1080)

Publications in International Conference Proceedings

  • B. Reddy Mounika, Om Prakash, Ashish Khare, “Key Frame Extraction using Uniform Local Binary Pattern,” 2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T), University of Allahabad, Allahabad, 21-23 Sept 2018. IEEE
  • Abhishek Srivastava, Pronaya Bhattacharya, Arunendra Singh, Atul Mathur, Om Prakash, Rajeshkumar Pradhan, “A Distributed Credit Transfer Educational Framework based on Blockchain,” 2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T), University of Allahabad, Allahabad, 21-23 Sept 2018. IEEE
  • Om Prakash, Alok Kumar Singh Kushwaha, Moongu Jeon, “An approach towards Object Tracking based on Rotation Invariant Moments of Complex Wavelet Transform,” in International Conference on Advances in Computing, Control and Communication Technology (IAC3T-2016), University of Allahabad, Allahabad, 25-27 March 2016.
  • Arati Kushwaha, Ashish Khare, Om Prakash, Jong-In Song, Moongu Jeon, “3D Medical Image Fusion using the Dual Tree Complex Wavelet Transform,” in IEEE 4th International Conference on Control, Automation and Information Sciences (ICCAIS-2015), Changshu, China, 29-31 October 2015. IEEE
  • Manish Khare, Om Prakash, Rajneesh Kumar Srivastava, Ashish Khare, “Contourlet Transform based Human Object Tracking,” Proceedings of 27th SPIE Electronic Imaging, Vol. 9410 (Visual Information Processing and Communication VI), 08-12 February 2015, San Francisco, USA. SPIE
  • Om Prakash, Manish Khare, Ashish Khare, “Biorthogonal Wavelet Transform Based Classification of Human Object Using Adaboost Classifier,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, pp. 194-199, 02-05 December 2014. IEEE
  • Manish Khare, Om Prakash, Rajneesh Kumar Srivastava, Ashish Khare, “Daubechies Complex Wavelet Transform Based Approach for Multiclass Object Classification,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, 206-211, 02-05 December 2014. IEEE
  • Prashant Srivastava, Om Prakash, Ashish Khare, “Content-Based Image Retrieval Using Moments of Wavelet Transform,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, pp. 159-164, 02-05 December 2014. IEEE
  • Om Prakash, Arvind Kumar, Ashish Khare, “Pixel-level Image Fusion Scheme based on Steerable Pyramid Wavelet Transform using absolute Maximum fusion rule,” Proceedings of IEEE International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2014), Ghaziabad, India, pp. 770-775, 07-08 February 2014. IEEE

Gan Xu – Artificial Intelligence – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Gan Xu – Artificial Intelligence – Best Researcher Award

Gan Xu – Artificial Intelligence – Best Researcher Award

Mr. Gan Xu distinguished academic and researcher in the field Artificial Intelligence.

🌐 Professional Profile

Educations📚📚📚

He is currently pursuing a Ph.D. in Finance at the Capital University of Economics and Business in Beijing, China, since September 2021. Prior to this, he completed his Master’s in Finance from Beijing Union University, Beijing, China, graduating in June 2021. His academic journey began with a Bachelor’s degree in Biotechnology, which he obtained from Guilin Medical University, Guilin, Guangxi, China, in June 2010.

Research Experience

He participated in the Project of the National Social Science Foundation of China, focusing on the “Research on Level Measurement, Spatial and Temporal Divergence, and Improvement Path of Rural Financial Services for Rural Revitalization” (19BJY158), where he was mainly responsible for the research design of some sub-topics and participated in enterprise research. Additionally, he contributed to the Key Topic of the China Mobile Communication Federation on the “Research on the Application of Blockchain Technology in Finance” (CMCA2018ZD01), taking charge of the research design of certain sub-topics and writing research reports. Furthermore, he was involved in the research project on “Financial Support for Deepening Financial Services for Private and Micro and Small Enterprises” as part of the Comprehensive Reform Pilot City Project in Jincheng City, Shanxi Province, where he was responsible for independently participating in application writing.

Social Experience

He has co-authored several significant publications, including “Financial Density of Village Banks and Income Growth of Rural Residents” with Yang, G.Z., Xu, G., Zhang, Y., and others, published in Economic Issues in 2021. Additionally, he contributed to “Knowledge Mapping Analysis of Seven Decades of Rural Finance Research in China” with Zhang, F., Xu, G., Zhang, X.Y., and Cheng, X., which appeared in Rural Finance Research in 2020. He also co-authored “A Review of Blockchain Applications in the Financial Sector” with Zhang, F. and Cheng, X., published in Technology for Development in 2019.

Honors

  • Received Beijing Outstanding Graduates in 2020
  • Outstanding graduate of Beijing Union University in 2020
  • First Prize of Excellent Paper in the First Annual Meeting of the Financial Technology Professional Committee of the China Society for Technology Economics, 2019
  • Second Prize of Excellent Paper in the 13th China Rural Finance Development Forum, 2019
  • Second Prize of Excellent Paper of the 9th Annual Conference of China Regional Finance and Xiongnu Financial Technology Forum, 2019

📝🔬Publications📝🔬

Hedieh Sajedi – Machine learning – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Hedieh Sajedi – Machine learning – Best Researcher Award

Hedieh Sajedi – Machine learning – Best Researcher Award

Dr. Hedieh Sajedi  distinguished academic and researcher in the field Machine learning.  Her research interests encompass a wide range of advanced topics, including deep learning and machine learning, where she delves into the development and refinement of algorithms that enable computers to learn from and make decisions based on data. She is also deeply involved in multimedia processing, exploring techniques to enhance and manipulate various forms of media, such as images, videos, and audio. Additionally, her work in data mining and information retrieval focuses on extracting meaningful patterns and insights from large datasets, improving the efficiency and accuracy of information retrieval systems. Furthermore, she investigates bio-inspired algorithms, drawing inspiration from natural processes to create innovative computational methods that solve complex problems.

🌐 Professional Profile

Educations📚📚📚

She completed her Ph.D. in Artificial Intelligence and Robotics at Sharif University of Technology in May 2010, following her M.Sc. in the same field from the same institution, which she earned in August 2005. Prior to her postgraduate studies, she obtained her B.Sc. in Computer Software Engineering from Amir Kabir University of Technology in September 2002.

Work Experience:

She has delivered several invited talks on various topics, including “Computer vision and machine learning for medical image analysis” at the Children’s International Research Center in Washington DC, USA, in July 2022, and “Age Prediction based on brain MRI images” at Pompeu Fabra University in Barcelona, Spain, in June 2022. Additionally, she discussed a “Blind Spot Warning System based on Vehicle Analysis in Stream Images” at the same university and “Brain Age Estimation based on Brain MRI Images” at Sehir University of Istanbul, Turkey, in March 2018. Earlier, in March 2014, she presented on the “Application of Steganography and Steganalysis Methods in Medical and Healthcare Systems” at the University of Pavia, Italy. Her executive activities include serving as the Scientific Chair of the International Conference on Pattern Recognition and Image Analysis (IPRIA) in 2023, head of the Computer Science Department from 2018 to 2022, and Scientific Chair of the 6th International Conference on Pattern Recognition and Image Analysis at the University of Tehran in 2022. She also held the position of Head of Computer Services and Information Technology in the College of Science from 2018 to 2020 and served as Inspector of the Image Processing and Machine Vision Society in Tehran, Iran, in 2015 and 2017. Her funded projects include research on the “Detection and Classification of Circular Objects on the Basis of Convolutional Neural Network (CNN)” funded by the Iran National Science Foundation (INSF) from 2021 to the present, “Investigating Brain Health from Brain MRI Images Using Machine Learning Methods,” partially funded by the Institute for Research in Fundamental Sciences (IPM) from 2018 to 2019, “Brain Age Estimation with Mathematical Modeling” funded by INSF from 2017 to 2018, and the development of “A High-Security and High-Capacity Steganography System” funded by INSF from 2011 to 2014.

Honors & Awards

She was recognized as a member of the University of Tehran Top Researchers Club in 2022 and received the Erasmus Mobility Award from the European Union in the same year. Additionally, she was honored with the Honors Program Graduate Award from Sharif University of Technology for the period from 2006 to 2010. Since 2009, she has been an active member of the Scientific Society for Image Processing and Machine Vision.

She has been an instructor at the University of Tehran since 2013, teaching courses such as “Machine Learning,” “Artificial Intelligence,” “Data Mining,” and “Digital Image Processing” in the Department of Computer Science. She has also instructed “Advanced Topics in Artificial Intelligence” since 2020 and “Advanced Information Retrieval” from 2017 to 2020. Additionally, she taught “Advances in AI” from 2013 to 2020 and “Machine Learning in Physics” from 2018 to 2019. Her teaching portfolio includes courses for Ph.D. students at the Institute of Biochemistry and Biophysics, such as “Advanced Data Structure” in 2018-2019. At AmirKabir University of Technology, she instructed “Machine Learning” from 2010 to 2011 and “Artificial Intelligence” in 2010-2011. She also co-instructed “Machine Vision” at Pompeu Fabra University in Barcelona, Spain, in May 2022. Her experience in bio-inspired computing includes teaching “Evolutionary Computing” at the University of Tehran from 2013 to 2016.

Furthermore, she has taught “Distributed Systems” at Azad University, Qazvin, from 2011 to 2013, and courses such as “Computer Networks,” “Compiler Design and Principles,” and “Introduction to Programming” at the University of Tehran. She also taught “Operating Systems,” “Introduction to Programming,” and other foundational courses at Tarbiat Moallem University from 2006 to 2008. Her early teaching roles include instructing “Introduction to Programming” at Sharif University of Technology in 2006-2007 and several technical and scientific presentation courses at AmirKabir University of Technology from 2009 to 2011.

📝🔬Publications📝🔬

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Posted on by ScienceFatherLeave a Comment on Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Dr. Micheal Olaolu Arowolo  distinguished academic and researcher in the field Artificial Intelligence. He holds several academic and professional memberships. In March 2021, he became a member of the Institute of Electrical and Electronics Engineers (IEEE), with membership number 96234988. He joined the Asia Pacific Institute of Science and Engineering (APISE) in September 2019, holding membership number M20190918110. In May 2019, he became a member of both the International Society for Computational Biology (ISCB) and the Nigerian Bioinformatics and Genomics Network (NBGN), with membership number NBGNI380. He also joined the Society of Digital Information and Wireless Communications (SDIWC) in March 2017 and the European Alliance for Innovation (EAI) in February 2017. Additionally, he has been a member of the International Association of Engineers (IAENG) since September 2015, with membership number 158851. His professional certifications include being an Oracle Database SQL Certified Expert from Oracle University, achieved in March 2014. Moreover, he is indexed on Scopus (57214819505), ORCID (0000-0002-9418-5346), and Web of Science Researcher (ABD-4157-202), all obtained in 2019.

 

🌐 Professional Profile

Educations📚📚📚

He attended several academic institutions, beginning with ECWA L.G.E.A Primary School ‘B’ in Ilorin, Kwara State, where he obtained his First School Leaving Certificate (FSLC) from 1991 to 1998. He then moved on to Modelak Science College in Ilorin, completing his Senior School Certificate Examination (SSCE) between 1998 and 2004. For his undergraduate studies, he attended Al-Hikmah University in Ilorin, Kwara State, earning a Bachelor of Science (B.Sc.) degree in Computer Science with Second Class Honors (Lower Division) from 2008 to 2012. Continuing his education, he obtained a Master of Science (M.Sc.) degree in Computer Science from Kwara State University in Malete, Kwara State, between 2014 and 2017. Finally, he completed his academic journey at Landmark University in Omu-aran, Kwara State, where he earned a Doctor of Philosophy (Ph.D.) in Computer Science from 2018 to 2021.

Work Experience:

He has held various academic and professional positions throughout his career. Since 2022, he has been serving as a Research Scholar, Instructor, and Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, Columbia, specifically at the Christopher S. Bond Life Sciences Center. In 2021, he was a Lecturer II in the Department of Computer Science at Landmark University, Omu-Aran, Kwara State, Nigeria, and prior to that, from 2020 to 2021, he worked there as an Assistant Lecturer. From 2018 to 2020, he was a Graduate Lecturer in the Department of Computer Science at the Institute of Professional Studies, Kwara State University, Malete. In 2019, he served as an Ad-Hoc Staff for the Independent National Electoral Commission (INEC) in Nigeria, working as an Oke-Ode Ad-Hoc Registration Area Technician for the Kwara State Election. His earlier roles include being an IT Consultant at Dalayak IT Consults from 2016 to 2017, a Computer Analyst at Baylings Enterprises from 2013 to 2015, and a Computer Analyst for the Ogun-Oshun River Basin Development Authority during his National Youth Service Corps (NYSC) from November 2012 to October 2013.

Academic and Administrative Positions Held

He has served in various academic and administrative roles, including being the Academic Level Adviser for Computer Science 400L students and the Examination Officer for the Computer Science department at Landmark University from 2021 to 2022. Additionally, he was a member of the University Ranking Committee at Landmark University in 2022. He contributed to the university community by being a member of the Landmark University Sustainable Development Goal 9 group focused on industry, innovation, and infrastructure. He also served on the Local Organizing Committee (LOC) for the 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference in 2021. Furthermore, he acted as the Social Director of the Al-Hikmah University Alumni Association and was an instructor for H3ABioNet’s Introduction to Bioinformatics course (IBT_2021).

His personal qualities include good logical skills, a strong personality, excellent communication abilities, keen observation, quick learning, multitasking, and proficiency in computing. Throughout his career, he has supervised over 40 undergraduate students (B.Sc.) on their projects, theses, and dissertations.

📝🔬Publications📝🔬

Esha Aftab – Neural Models – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Esha Aftab – Neural Models – Best Researcher Award

Esha Aftab – Neural Models – Best Researcher Award

Ms. Esha Aftab  distinguished academic and researcher in the field Neural Models.  She possesses a strong foundation in various undergraduate courses such as Introduction to Computing, Object-Oriented Programming (C++), Data Structures and Algorithms, Database Systems, Digital Logic Design, and Design and Analysis of Algorithms. Her technical proficiencies encompass a wide range of technologies and languages including C#, ASP, .NET Framework, PRISM Framework, MATLAB, MS SQL Server 2005, Oracle, Java, JavaScript, Java ME, and OpenGL.

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing her PhD at Punjab University College of Information Technology, with a focus on advancing her knowledge and expertise in her field. Prior to this, she completed her M.Sc in Computer Science at Lahore University of Management Sciences (LUMS) in 2012, achieving a commendable CGPA of 3.66 out of 4.0. Her academic journey commenced with a Bachelor’s degree in Computer Science from the National University of Computer & Emerging Sciences (NU-FAST), Lahore, where she graduated in 2009 with an impressive CGPA of 3.74 out of 4.0. Her educational background reflects a consistent dedication to academic excellence and a strong commitment to her field of study.

Work Experience

She has amassed a wealth of experience across academia and industry. Currently serving as an Assistant Professor at Punjab University College of Information Technology (PUCIT) since 2019, her role involves conducting programming and technical courses, with a particular focus on subjects such as Data Structures, Algorithms, and Machine Learning. Prior to this, she held the position of Lecturer at NUCES-FAST from 2012 to 2019, where she contributed significantly to the academic environment. Additionally, she served as Visiting Faculty in 2012, delivering the ‘Applied Programming’ course for MSc students. Her industry experience includes a stint as a Software Engineer at Techlogix Pvt. Limited from 2009 to 2010, where she was involved in designing and developing automated business processes for clients like Ufone, Motorola, and Nestle. Her projects ranged from enterprise application integration for Ufone using IBM WebSphere Integration Developer to implementing automated business processes for Motorola using Savvion BPM Software and devising algorithms for Nestle’s Milk Balancing System. She adeptly utilized various development tools such as Microsoft Visual Studio 2008, Silverlight, Telerik Toolkit, and .Net Framework to deliver innovative solutions across her diverse roles.

Technical Proficiencies
 She is adept at working in different development environments such as Linux (Ubuntu), MS Visual Studio (2008/2010), Netbeans IDE, Eclipse, Savvion BPM Software, and IBM Websphere Toolkit. Noteworthy among her major projects is her contribution to a Computer Vision Research Project focused on developing a Shape and color-based Jigsaw Puzzle Solver, achieving successful results in shape-based jigsaw piece identification and implementing piece placement algorithms using image stitching techniques. Additionally, she has contributed to a research-based project on Image Annotation, employing statistical methods to label images according to their content. Her diverse skill set and hands-on experience in both academic and research settings underscore her proficiency and versatility in the field of computer science

Academic Achievements

 Silver Medalist: 2nd position in BCS (FAST)
 Dean’s List Honor Certificate (FAST)

 

📝🔬Publications📝🔬

Asif Hamid- Deep learning – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Asif Hamid- Deep learning – Best Researcher Award

Asif Hamid- Deep learning – Best Researcher Award

Mr. Asif Hamid  distinguished academic and researcher in the field  Deep learning. He has accumulated over four years of experience in writing and publishing research articles for journals and conferences. This experience has provided him with a deep understanding of various writing styles, from scholarly articles to book chapters and industry-focused documentation. His role as a reviewer for many prestigious conferences has also sharpened his critical thinking and editorial abilities.

His expertise is not limited to writing; he is skilled in Python and MATLAB programming, which are crucial for his research projects. He possesses basic skills in HTML and is proficient with MS Office tools—Word, Excel, and PowerPoint—as well as LaTeX software, all vital for creating research papers and presentations. Additionally, his ability to utilize internet applications and implement deep learning techniques demonstrates his aptitude for integrating cutting-edge technology into his research activities.

🌐 Professional Profiles

Educations📚📚📚

He is currently pursuing a Ph.D. at the Islamic University of Science and Technology (IUST) in Awantipora, Jammu & Kashmir, India, a program he began in 2020. Prior to this, he earned his Master of Technology degree in Control and Instrumentation Systems from Jamia Milia Islamia (JMI) in India, where he distinguished himself by securing a CGPA of 9.3 out of 10, placing him in the top 1% of his class. His foundational education was completed at Baba Ghulam Shah Badshah University in Rajouri, Jammu & Kashmir, where he received his Bachelor of Technology degree in Electronics and Communication Engineering, achieving a percentile score of 75.6, which also placed him in the top 1% of his peers.

Conference Papers

• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, May). Discovering low-rank
representations of large-scale power-grid models using Koopman theory. In 2022 Trends in
Electrical, Electronics, Computer Engineering Conference (TEECCON). IEEE.. [Link]
• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, July). Power Grid parameter
estimation using Sparse Identification of Nonlinear Dynamics. In 2022 International
Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (pp. 1-6).
IEEE. [Link]
• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, Neural network-based time stepping

Awards and Achievements

He has received numerous accolades and support for his academic pursuits. Since 2020, he has been a recipient of the MHRD (Ministry of Human Resource Development, Government of India) fellowship for his Ph.D. studies in the Department of Electrical Engineering at the Islamic University of Science and Technology in Awantipora, Jammu & Kashmir, India, supported by grant number IUST0119013135. In 2019, he successfully qualified the GATE (Graduate Aptitude Test in Engineering) for Electronics and Communication Engineering, scoring 31.67 out of 100. Furthermore, in 2017, he qualified for the M.Tech. program at Jamia Milia Islamia, Delhi, by passing the entrance examination, demonstrating his consistent excellence and competence in his field.

WORKSHOP / SEMINAR / TRAINING / STC attended

1. Presented Discovering low-rank representations of large scale power-grid models using Koopman
theory paper in Electrical, Electronics, Computer Engineering Conference IEEE held on 26-27
may 2022 at Reva University.
2. Presented Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics
paper in the INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROLLER AND
COMPUTING FOR SMART POWER, IEEE 2022 organized by the Department of Electrical
and Electronics Engineering, Sreenidhi Institute of Science And Technology, Hyderabad,
India during 21–23 July 2022.
3. Reviewer for IEEE international conference on applied intelligence and sustainable
computing 2023.
4. Attend in faculty development program entitled “Research Methodology + Publication Ethics”
organised by Department of computer science and engineering IUST, Awantipora form 7-11
Feb 2022.

📝🔬Publications📝🔬

  • Hierarchical deep learning-based adaptive time stepping scheme for multiscale simulations

    Engineering Applications of Artificial Intelligence
    2024-07 | Journal article
    DOI: 10.1016/j.engappai.2024.108430
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Neural network-based time stepping scheme for multiscale partial differential equations

    2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA)
    2023-10-27 | Conference paper
    DOI: 10.1109/cera59325.2023.10455439
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Deep learning assisted surrogate modeling of large-scale power grids

    Sustainable Energy, Grids and Networks
    2023-06 | Journal article
    DOI: 10.1016/j.segan.2023.101031
    Part ofISSN: 2352-4677
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics

    2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
    2022-07-21 | Conference paper
    DOI: 10.1109/iciccsp53532.2022.9862464
    CONTRIBUTORS: ASIF HAMID BHAT

Wei Zhang – Digital algorithms – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Wei Zhang – Digital algorithms – Best Researcher Award

Wei Zhang – Digital algorithms – Best Researcher Award

Dr. Wei Zhang distinguished academic and researcher in the field Digital algorithms. Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement.

🌐 Professional Profiles

Educations📚📚📚

From September 2016 to June 2019, he pursued his Bachelor of Marketing at Hefei University of Technology. He continued his studies at Hunan Agricultural University, where he earned a Master of Agricultural and Forestry Economics and Management, completing the program in June 2021. Building on his academic achievements, he began his PhD in Capability Economic Management at the same university in September 2021, with an expected completion date of June 2025.

Research Experience

Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement. Following this, in 2022, they published an article in “Price Theory and Practice,” where they analyzed the effectiveness of reforms in the rural collective property rights system from the perspective of farmer participation. This research, featured in the March 2022 issue on pages 169-172 and 205, was underpinned by a survey of 315 farmer households across Hunan and Jiangxi provinces, offering valuable insights into the impact of these reforms on rural communities.

Project experience

He hosted the 2023 Hunan Provincial Postgraduate Research Innovation Project Key Project, CX20230730, which focused on the Research on the Contract and Performance of Farmland Infrastructure Governance under Endowment Heterogeneity. He also played a significant role in contributing to several major research projects. He participated in writing a major project for the Hunan Provincial Social Science Fund, numbered 23ZWA14, which involved researching the Current Situation and Countermeasures of Rural Collective Economic Development in Hunan Province. Additionally, he contributed to the general project of the Hunan Provincial Social Science Fund, 21YBA079, which examined the governance mechanism and performance of high-standard farmland in the context of food and ecological security. His research contributions extended to the Hunan Provincial Natural Science Foundation’s general project, 2023JJ30312, focusing on the mechanism and performance of digital technology in empowering farmland water conservancy facilities. Moreover, he was involved in writing for a project under the Hunan Provincial Development and Reform Commission that researched coordinated food and ecological security in the middle and lower reaches of the Yangtze River plain, considering “resources-factors-policies.”

Personal honor

He achieved notable recognition in various academic competitions and forums. At the 2021 Modern Agricultural Development Forum and the First “World Agriculture” Workshop in the context of “Dual Cycles,” he won the second prize in the paper competition. His research excellence continued into the following year when he won the first prize for outstanding paper at the 2022 Hunan Rural Economics Association Annual Meeting. Additionally, he received the award for the second “Economic Management Quantitative Research Methods” Excellent Paper at the School of Economics, Hunan Agricultural University. He also actively participated in advanced training sessions, including the “Jiangsu Province Applied Economic Research Methodology” workshop organized by the Economics Graduate Education Steering Committee of Jiangsu Province and the School of Economics and Management of Nanjing Agricultural University, where he earned the title of qualified student. Furthermore, he attended the “2021 Summer Econometrics and Scientific Research Methods Lecture Series” at the School of Statistics and Mathematics of Zhongnan University of Economics and Law, also achieving the status of qualified student.

 

📝🔬Publications📝🔬

Muhammad Nawaz – Geo Artificial Intelligence Award – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Muhammad Nawaz – Geo Artificial Intelligence Award – Best Researcher Award

Muhammad Nawaz – Geo Artificial Intelligence Award – Best Researcher Award

Dr. Muhammad Nawaz distinguished academic and researcher in the field Geo  Artificial Intelligence. He has held various academic positions spanning nearly four decades. Beginning his career as a secondary science teacher at the Institute of Academic Service in Lahore, Pakistan, from 1986 to 1990, he then transitioned into roles within the field of geography and GIS. His journey in academia led him to serve as a Subject Specialist in Geography for the Ministry of Education, Government of Punjab, Pakistan, from 1990 to 1993. Subsequently, he embarked on a career in higher education, holding positions such as Lecturer in Geography at Punjab University from 1993 to 1999, followed by roles as Assistant Professor and later as Associate Professor in GIS, along with various administrative responsibilities including Associate Head and Coordinator of the M.Sc. GIS Program at Punjab University from 1999 to 2006. He expanded his international experience by serving as a Lecturer in Environmental Science eLearning at the School of Environment, Charles Darwin University (CDU), Australia, from 2007 to 2012, and then as a Lecturer/Coordinator of the Tertiary Enabling Program (Environment & Geoscience) at CDU from 2012 to 2015. Since 2015, he has been contributing his expertise as a Senior Lecturer in the Department of Geography at the National University of Singapore. Throughout his career, he has demonstrated a commitment to education and has made significant contributions to the fields of geography, environmental science, and geoscience education.

🌐 Professional Profiles

Educations📚📚📚

He holds a diverse range of qualifications reflecting his dedication to academic excellence and professional development. His educational journey began with a Bachelor’s degree in Geography, with majors in Geology and Chemistry, from Bahauddin Zakariya University, Pakistan, in 1986. Building upon this foundation, he pursued a Master’s degree in Geography from Punjab University, Pakistan, in 1990. Continuing his academic pursuits, he obtained a Master of Science in Geoinformatics from the University of Twente – ITC, Netherlands, in 1998, further specializing in the field. In 2010, he achieved a significant milestone by earning his Doctor of Philosophy in Environmental Science from Charles Darwin University (CDU), Australia, showcasing his commitment to advanced research and scholarship. Recognizing the importance of pedagogical skills in higher education, he completed a Graduate Certificate in Teaching and Learning in Higher Education from CDU in 2012. This extensive educational background underscores his expertise and dedication to his field, enabling him to make significant contributions to academia and research throughout his career.

Teaching Experience

With an extensive background in teaching, he has been actively engaged in educating students in various facets of geography and environmental science since 2015 at the Department of Geography, National University of Singapore. His teaching portfolio encompasses a wide array of courses catering to different aspects of spatial data handling, GIS applications, environmental modeling, earth surface processes, energy futures, and terrestrial and coastal environments.

In courses such as Spatial Data Handling (GE6211), GIS Application (GE5226), and Environment Modelling (GE4212), he imparts knowledge on topics ranging from spatial data mining, big data analytics, and spatial uncertainty to ecological models, epidemic dynamics, and environmental modeling with GIS and remote sensing.

Moreover, his expertise extends to courses like Earth Surface Processes, Landform, and Ecosystem (GE3256), Energy Futures, Environment, and Sustainability (GE3254), and Planet Earth (XD3103), where he delves into subjects such as geomorphological processes, climate change, global energy resources, and the geological evolution of Earth.

Additionally, he plays a pivotal role in educating students on water and environmental issues in courses like Water and Environment (GE2229) and Terrestrial and Coastal Environments (GE2220), covering topics such as catchment hydrology, fluvial geomorphology, coastal processes, and landforms.

Furthermore, he contributes to courses like The Biophysical Environment of Singapore (GES1004/GESS1002), providing insights into Singapore’s geology, weather, climate, soil erosion, and coastal processes, tailored to the local context.

Through his teaching endeavors, he enriches students’ understanding of geographical and environmental concepts, equipping them with the knowledge and skills necessary to address contemporary challenges in these fields.

Recent Teaching, Research and Service Awards

He has been consistently recognized for his outstanding contributions in teaching, research, and service within the academic community. In 2023, he received the Annual Digital Education Award (ADEA 2023) from the National University of Singapore, acknowledging his innovative approaches to digital education. Additionally, he was honored with the NUS Safety & Health Commitment Award (NUSSHA 2023) by the Office of Risk and Management Compliance (ORMC) for his dedication to ensuring safety and health standards in academic environments.

In 2022, his commitment to teaching excellence was recognized with the Faculty Teaching Excellence Award (FTEA 2022) from the Faculty of Arts and Social Science at the National University of Singapore. Furthermore, his research efforts were acknowledged with the Encouragement (Research) Award (PUPP 2022) from the Wuhan Municipal Bureau of Natural Resources & Planning, China, highlighting his significant contributions to the field.

Moreover, in 2021, he was honored with the Service Award and Certificate of Accomplishment (COA 2021) from the Office of Human Resources at the National University of Singapore, underscoring his exemplary service to the university community.

These awards reflect his dedication, expertise, and impact across various domains of academia, demonstrating his commitment to excellence in teaching, research, and service roles.

📝🔬Publications📝🔬