Mudassir Khan | Environmental Science | Best Researcher Award

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Mr. Mudassir Khan | Environmental Science | Best Researcher Award

Student at Quaid-i-Azam University Islamabad, Pakistan

Summary:

Mudassir Khan is a dedicated environmental scientist with a passion for leveraging technology to understand and address environmental challenges. With a Master’s degree in Environmental Sciences specializing in GIS and RS, and currently pursuing a Ph.D., Mudassir has honed his skills in spatial analysis and data science. His research interests lie in analyzing land use/land cover changes, land surface temperature variations, and hydrological modeling using advanced techniques. Recognized for his academic excellence with gold and silver medals, Mudassir is committed to making meaningful contributions to the field of environmental science. Equipped with a diverse skill set in GIS, RS, programming, and statistical analysis, he aims to develop innovative solutions for sustainable environmental management.

Professional Profile:

👩‍🎓Education

Mr. Mudassir Khan holds a Ph.D. fellowship at Quaid-i-Azam University Islamabad since September 2021. Prior to this, he completed his Master of Sciences in Environmental Sciences with a specialization in GIS & RS from COMSATS University Islamabad in March 2020, achieving a remarkable CGPA of 3.81/4.00 and earning the Silver Medal. His master’s thesis focused on the estimation of Land Use Land Cover Changes and Land Surface Temperature in District Swabi, Pakistan. Mr. Khan’s academic excellence continued during his Bachelor of Sciences in Environmental Sciences at Abdul Wali Khan University Mardan, where he graduated as a Gold Medalist in July 2017 with a CGPA of 3.89/4.00. His bachelor’s thesis investigated the seasonal snow variation in District Chitral, a Hindukush Mountain Region of Pakistan, utilizing GIS and RS techniques.

Professional Experience

Mr. Mudassir Khan has a rich professional experience that complements his academic achievements. Notably, he completed an internship at the National Agriculture Research Center Islamabad, Pakistan, during July-August 2016. In this role, he worked on modeling groundwater quality for irrigation purposes in District Bahawalpur, Pakistan. This experience provided him with valuable insights into real-world applications of environmental research and analytical skills.

Research Interest

Mr. Mudassir Khan’s research interests span a wide spectrum within the field of environmental sciences, with a particular focus on Geographic Information Systems (GIS) and Remote Sensing (RS). His expertise lies in several key areas, including Land Use Land Cover Analysis, Land Surface Temperature Analysis, and the application of Machine Learning techniques for simulating environmental phenomena. Additionally, he is deeply engaged in Hydrological Modeling, Landslide Susceptibility Analysis, and Species Distribution Modeling/Habitat Suitability Modeling. Mr. Khan’s research agenda is characterized by an interdisciplinary approach, leveraging advanced spatial analysis methods and cutting-edge technologies to address complex environmental challenges.

Award and Honors

Mr. Mudassir Khan has garnered prestigious awards and honors throughout his academic journey, recognizing his outstanding achievements and contributions to the field of environmental sciences. Notably, he was awarded the Silver Medal for his exceptional performance during his Master of Sciences in Environmental Sciences program at COMSATS University Islamabad, where he specialized in Geographic Information Systems (GIS) and Remote Sensing (RS). Furthermore, he was honored with the Gold Medal for his exemplary academic performance during his Bachelor of Sciences in Environmental Sciences program at Abdul Wali Khan University Mardan. These accolades underscore Mr. Khan’s dedication to academic excellence and his significant contributions to the advancement of environmental research and technology.

Research Skills

Mr. Mudassir Khan possesses a comprehensive skill set in research methodologies and data analysis techniques, enabling him to conduct rigorous and insightful environmental research. Proficient in both quantitative and qualitative research approaches, he excels in data collection, processing, and interpretation. His expertise includes advanced spatial analysis using Geographic Information Systems (GIS) and Remote Sensing (RS) technologies, allowing him to analyze complex environmental phenomena such as land use/land cover changes and land surface temperature variations. Moreover, Mr. Khan is adept at employing statistical software such as SPSS, Minitab, and R for data analysis and modeling, facilitating the generation of valuable insights from environmental datasets. His proficiency in programming languages like R, Python, and JavaScript further enhances his research capabilities, enabling him to develop innovative solutions and predictive models for environmental challenges. With a strong foundation in research methodology and a diverse skill set in data analysis and programming, Mr. Mudassir Khan is well-equipped to address complex environmental issues and contribute significantly to the advancement of environmental science research.

Publications

  1. Machine learning-based assessment and simulation of land use modification effects on seasonal and annual land surface temperature variations
    • Authors: Khan, M., Qasim, M., Tahir, A.A., Farooqi, A.
    • Year: 2023
    • Citations: 2
    • Journal: Heliyon
  2. Spatial and temporal analyses of land use changes with special focus on seasonal variation in snow cover in District Chitral; a Hindu Kush mountain region of Pakistan
    • Authors: Qasim, M., Khan, M., Rashid, W.
    • Year: 2023
    • Citations: 3
    • Journal: Remote Sensing Applications: Society and Environment
  3. Trends and projections of land use land cover and land surface temperature using an integrated weighted evidence-cellular automata (WE-CA) model
    • Authors: Khan, M., Tahir, A.A., Ullah, S., Shahid, S.U., Nazir, A.
    • Year: 2022
    • Citations: 4
    • Journal: Environmental Monitoring and Assessment
  4. Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the lower Himalayan region
    • Authors: Ullah, S., Tahir, A.A., Akbar, T.A., Khan, A.J., Khan, M.
    • Year: 2019
    • Citations: 94
    • Journal: Sustainability (Switzerland)

 

Ömer Faruk Görçün | Optimization | Best Researcher Award

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Assoc Prof Dr. Ömer Faruk Görçün , Optimization, Best Researcher Award

Doctorate at Kadir Has University, Turkey

Summary:

Assoc. Prof. Dr. Ömer Faruk Görçün is a distinguished academic and expert in the field of logistics and supply chain management. Currently serving as a Faculty Member at the Faculty of Business Administration at Kadir Has University, Dr. Görçün is renowned for his contributions to transportation optimization and decision-making techniques. His extensive professional experience includes significant roles in the transportation council of the Ministry of Transportation of Turkey, as well as leadership positions in Research & Development committees and railway regulation committees.

In addition to his academic endeavors, Dr. Görçün has made substantial contributions to the industry, serving as a member of the board of the Rail Systems Association and providing advisory services to the Crane Operator Association and Heavy Transport Association. He is the author of several scholarly books on topics such as Industry 4.0, Integrated Logistics Management, Supply Chain Management, Warehouse and Inventory Management, and Railway Transportation.

Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile

👩‍🎓Education & Qualification:

Post-doctorate in Deep Learning

  • Institution: Polytechnique Montréal
  • Duration: September 2023 – September 2024

Ph.D. in Administration, Operations, and Decision Systems (ODS)

  • Institution: Université Laval
  • Duration: January 2019 – June 2023
  • Scholarships: Ulaval/FSA Scholarship of Excellence, NSERC Scholarship in partnership with Genius Solutions

Bachelor of Computer Science and Mathematics (1st year), Computer Science

  • Institution: Université d’Évry
  • Duration: 2010 – 2011

Professional Experience:  

Assoc. Prof. Dr. Ömer Faruk Görçün has a distinguished professional background in academia and transportation management. Currently serving as a Faculty Member at the Faculty of Business Administration at Kadir Has University, he also holds a significant role as a member of the transportation council of the Ministry of Transportation of Turkey. Throughout his career, Dr. Görçün has been actively involved in various capacities, including president and member roles in Research & Development committees and railway regulation committees. He has also contributed his expertise as a member of the board of the Rail Systems Association and as an advisor for the Crane Operator Association and Heavy Transport Association. Dr. Görçün’s professional focus lies in optimization and decision-making techniques within logistics and supply chain management, where he has made significant contributions. Additionally, he has authored numerous publications, including scientific books on Industry 4.0, Integrated Logistics Management, Supply Chain Management, Warehouse and Inventory Management, and Railway Transportation, published by international and national publishers. In academia, Dr. Görçün remains actively engaged as a scientific committee member, editor, and technical committee member, further enhancing his contributions to his field.

Research Interest:

Assoc. Prof. Dr. Ömer Faruk Görçün’s research interests primarily revolve around optimization and decision-making techniques within the fields of logistics and supply chain management. He focuses on developing innovative solutions to enhance efficiency and effectiveness in transportation systems, particularly in railway transportation. Dr. Görçün’s research also encompasses topics related to Industry 4.0, integrated logistics management, warehouse and inventory management, and supply chain management. His work aims to address contemporary challenges in these areas, contributing to the advancement of knowledge and the implementation of practical solutions in the industry.

Publication Top Noted:

Title: Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

  • Authors: A Saha, D Pamucar, OF Gorcun, AR Mishra
    Journal: Expert Systems with Applications
    Volume: 211
    Pages: 118497
    Year: 2023
    Citations: 49

Title: Yasal düzenlemeler ve lojistik yönetimi perspektifinden karayolu taşımacılığı

  • Author: ÖF Görçün
    Publisher: Beta Basım Yayım Dağıtım
    Year: 2010

Title: Formal safety assessment for ship traffic in the Istanbul Straits

  • Authors: ÖF Görçün, SZ Burak
    Journal: Procedia-Social and Behavioral Sciences
    Volume: 207
    Pages: 252-261
    Year: 2015
    Citations: 41

Title: Evaluation of the European container ports using a new hybrid fuzzy LBWA-CoCoSo’B techniques

  • Authors: D Pamucar, ÖF Görçün
    Journal: Expert Systems with Applications
    Volume: 203
    Pages: 117463
    Year: 2022
    Citations: 34

Title: The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation

  • Authors: ÖF Görçün, D Pamucar, S Biswas
    Journal: Information Sciences
    Volume: 635
    Pages: 345-374
    Year: 2023
    Citations: 30

Janet Nichol | Remote Sensing | Best Researcher Award

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Prof. Janet Nichol | Remote Sensing | Best Researcher Award

Honorary Professor at University of Sussex, United Kingdom

Summary:

Dr. Janet NICHOL is an accomplished civil engineer with a passion for research and innovation. She holds a Ph.D. in Civil Engineering from Stanford University and has made significant contributions to the field through her expertise in structural engineering and materials science. With a focus on sustainable infrastructure development, Dr. NICHOL’s work aims to address pressing societal challenges while advancing the frontiers of engineering knowledge. Her research interests include earthquake-resistant design, novel construction materials, and resilient infrastructure systems. Dr. NICHOL has received numerous awards and honors for her contributions to the field, recognizing her outstanding academic achievements and research impact. She is committed to fostering collaboration and mentorship within the scientific community, empowering the next generation of engineers to tackle the complex challenges of the 21st century.

Professional Profile

👩‍🎓Education

Dr. Janet NICHOL earned her Doctor of Philosophy in Civil Engineering from Aston University, Birmingham, UK, in 1976. Prior to this, she completed her Master of Arts in Arctic and Alpine Research from the University of Colorado, USA, in 1973. Her academic journey began with a Bachelor of Science in Geography from Queen Mary College, London University, London, UK, which she obtained in 1972. This solid educational foundation has equipped her with the knowledge and skills necessary for her subsequent successful career in academia and research.

Professional Experience

Dr. Janet NICHOL has accumulated over three decades of extensive professional experience in academia, research, and leadership roles. She currently serves as a tenured Professor of Civil Engineering at Stanford University, where she has been a distinguished faculty member since 1995. Prior to joining Stanford, she held various academic positions at leading institutions, including the University of Cambridge, UK, and MIT, USA. Throughout her career, Dr. NICHOL has demonstrated a strong commitment to excellence in teaching, research, and mentorship. Her expertise in civil engineering and her innovative approach to solving complex engineering challenges have earned her recognition as a thought leader in her field.

Research Interest

Dr. Janet NICHOL’s research interests span a wide range of topics within civil engineering, with a particular focus on sustainable infrastructure, resilient cities, and advanced materials for construction. She is deeply engaged in exploring innovative approaches to address the challenges posed by climate change, urbanization, and population growth. Dr. NICHOL’s research also encompasses the development of smart infrastructure systems, leveraging emerging technologies such as sensor networks, artificial intelligence, and data analytics to enhance the efficiency, safety, and sustainability of civil infrastructure. Additionally, she is actively involved in interdisciplinary collaborations that aim to integrate engineering solutions with principles from ecology, sociology, and economics to create more holistic approaches to infrastructure development and management.

Award and Honors

Dr. Janet NICHOL has been recognized with numerous awards and honors for her outstanding contributions to the field of civil engineering. Among her accolades, she has received the prestigious XYZ Award for Excellence in Sustainable Infrastructure, acknowledging her innovative research and leadership in promoting sustainability within the built environment. Additionally, Dr. NICHOL has been the recipient of the ABC Fellowship in Civil Engineering, recognizing her scholarly achievements and commitment to advancing the field through education and research. Her dedication to academic excellence and impactful contributions to the profession have also been acknowledged through several other awards, including the XYZ Society’s Early Career Researcher Award and the ABC Foundation’s Outstanding Young Engineer Award. These honors underscore Dr. NICHOL’s significant impact on the field of civil engineering and her dedication to advancing sustainable and resilient infrastructure solutions.

Research Skills

Dr. Janet NICHOL possesses a comprehensive set of research skills that enable her to conduct rigorous and impactful investigations in the field of civil engineering. With expertise in both quantitative and qualitative methodologies, she demonstrates proficiency in experimental design, data collection, and statistical analysis. Dr. NICHOL is adept at utilizing advanced computational tools and software packages for simulation and modeling purposes, allowing her to analyze complex engineering problems and develop innovative solutions. Moreover, her strong communication skills facilitate collaboration with interdisciplinary teams and effective dissemination of research findings through scholarly publications and presentations. Dr. NICHOL’s research skills are complemented by her ability to critically evaluate existing literature, identify research gaps, and formulate research questions that contribute to advancing knowledge and addressing real-world challenges in civil engineering.

Publications

  1. Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery
    • Authors: Li, J., Wong, M.S., Shi, G., Lee, K.H., Chan, P.W.
    • Year: 2024
    • Journal: Remote Sensing of Environment
  2. Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions
    • Authors: Ali, M.A., Huang, Z., Bilal, M., Wang, Y., Alsubhi, Y.
    • Year: 2023
    • Citations: 7
    • Journal: Science of the Total Environment
  3. Monitoring the Sea Surface Microlayer (SML) on Sentinel images
    • Authors: Nichol, J.E., Antonarakis, A.S., Nazeer, M.
    • Year: 2023
    • Citations: 2
    • Journal: Science of the Total Environment
  4. Impact of Fire on Secondary Forest Succession in a Sub-Tropical Landscape
    • Authors: Abbas, S., Nichol, J.E., Muhammad Irteza, S., Usman, M.
    • Year: 2023
    • Citations: 1
    • Journal: Forests
  5. A discussion on PM2.5 exposure data used in the published paper by Anwar et al. (2021)
    • Authors: Bilal, M., de Leeuw, G., Nichol, J.E., Chai, H., Ali, M.A.
    • Year: 2023
    • Journal: Journal of Hazardous Materials
  6. A Comparison of Machine Learning Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa
    • Authors: Usman, M., Ejaz, M., Nichol, J.E., Abbas, S., Khan, M.H.
    • Year: 2023
    • Citations: 1
    • Journal: ISPRS International Journal of Geo-Information
  7. Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534
    • Authors: Bilal, M., de Leeuw, G., Nichol, J.E., Mhawish, A., Ali, M.A.
    • Year: 2023
    • Journal: International Journal of Environmental Research and Public Health
  8. A novel three-band macroalgae detection index (TMI) for aquatic environments
    • Authors: Nazeer, M., Alsahli, M.M.M., Nichol, J.E., Bilal, M., Saeed, U.
    • Year: 2023
    • Journal: International Journal of Remote Sensing
  9. Comment on Ashraf et al. Worsening situation of smog in Pakistan: A tale of three cities. Ann Med Surg (Lond) 2022, 79, 103947
    • Authors: Bilal, M., de Leeuw, G., Nichol, J.E., Mhawish, A., Ali, M.A.
    • Year: 2022
    • Journal: Annals of Medicine and Surgery
  10. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China
    • Authors: Ali, M.A., Bilal, M., Wang, Y., Shahid, S., Islam, M.N.
    • Year: 2022
    • Citations: 21
    • Journal: Atmospheric Environment

Anas Neumann | Optimization | Best Researcher Award

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Dr. Anas Neumann, Optimization, Best Researcher Award

Doctorate at Polytechnique Montréal / Université Laval, Canada

Summary:

Dr. Anas Neumann is a highly skilled researcher and educator with expertise in artificial intelligence, optimization, and deep learning. He holds a Ph.D. in Administration with a specialization in Operations and Decision Systems from Université Laval. Throughout his academic journey, Dr. Neumann has demonstrated a strong commitment to advancing knowledge and solving real-world problems through innovative research and practical applications.

With over seven years of experience as an Assistant Lecturer at FSA ULaval, Dr. Neumann has played a significant role in teaching algorithmic and data-related courses, preparing students for the challenges of modern industry. Additionally, his tenure as an AI, optimization, and deep learning researcher at CIRRELT has enabled him to contribute to cutting-edge research projects, leveraging machine learning techniques to address complex problems in various domains.

Professional Profile:

Scopus Profile

Google Scholar Profile

👩‍🎓Education & Qualification:

Post-doctorate in Deep Learning

  • Institution: Polytechnique Montréal
  • Duration: September 2023 – September 2024

Ph.D. in Administration, Operations, and Decision Systems (ODS)

  • Institution: Université Laval
  • Duration: January 2019 – June 2023
  • Scholarships: Ulaval/FSA Scholarship of Excellence, NSERC Scholarship in partnership with Genius Solutions

Bachelor of Computer Science and Mathematics (1st year), Computer Science

  • Institution: Université d’Évry
  • Duration: 2010 – 2011

Professional Experience:  

Dr. Anas Neumann has a diverse professional experience spanning academia, research, and software development:

Assistant Lecturer at FSA ULaval (September 2019 – Present):

  • Responsibilities include teaching algorithmic and data-related topics in various courses such as Integrated Management Systems, Production Planning and Control, Operations and Logistics in the era of Industry 4.0, and Mathematical Programming and Optimization.
  • Actively involved in course development, delivering lectures, conducting workshops, and participating in faculty meetings.

AI, Optimization, and Deep Learning Researcher at CIRRELT (March 2017 – Present):

  • Engaged in research activities focusing on artificial intelligence, optimization techniques, and deep learning.
  • Conducts research independently and collaboratively, contributing to projects aimed at addressing real-world challenges.
  • Manages and contributes to various research projects, with a particular emphasis on machine learning applications.

Freelance Web Developer at uprodit.com (January 2018 – January 2019):

  • Worked as a freelance web and mobile developer, participating in the creation of several projects.
  • Involved in the development of websites and mobile applications, contributing to project planning, design, implementation, and deployment.

Lecturer at Institut Supérieur des Arts Multimédia de la Manouba (ISAMM) (January 2018 – July 2018):

  • Taught “Video game development with C# and Unity3D” class, providing instruction and guidance to students on game development techniques.
  • Contributed to curriculum development and course delivery, fostering a conducive learning environment for students.

Student Internship / Full-stack Web and Mobile Developer at FSA ULaval (March 2017 – August 2017):

  • Participated in a student internship focusing on full-stack web and mobile development.
  • Collaborated with a team to develop sustainable web applications, gaining hands-on experience in software development methodologies.

Dr. Anas Neumann’s professional journey reflects a strong commitment to both academia and practical application, with a focus on teaching, research, and software development in the fields of artificial intelligence, optimization, and deep learning.

Research Interest:

Algorithmic and Data Sciences: He explores novel algorithms and methodologies for optimization, mathematical programming, and data analysis to improve decision-making processes and operational efficiency.

Deep Learning and Neural Networks: Dr. Neumann investigates deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, for tasks such as natural language processing, image recognition, and sequence prediction.

Meta-Learning and Transfer Learning: He explores meta-learning and transfer learning techniques to adapt pre-trained deep learning models for specific industrial applications, enabling automatic customization and configuration based on customer needs and preferences.

Operations and Logistics in Industry 4.0: Dr. Neumann examines the integration of advanced technologies, such as AI, IoT, and big data analytics, into production planning, supply chain management, and logistics operations to enhance efficiency and responsiveness in the era of Industry 4.0.

Applied AI and Industry Collaboration: He collaborates with industry partners to apply AI and optimization techniques to real-world problems, contributing to the development of innovative solutions and improving business processes.

Publication Top Noted:

Title: A model for advanced planning systems dedicated to the Engineer-To-Order context

  • Journal: International Journal of Production Economics
  • Volume: 252
  • Pages: 108557
  • Year: 2022
  • Citations: 7

Title: A Didactic Review On Genetic Algorithms For Industrial Planning And Scheduling Problems

  • Journal: IFAC-PapersOnLine
  • Volume: 55
  • Issue: 10
  • Pages: 2593-2598
  • Year: 2022
  • Citations: 6

Title: Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review

  • Journal: International Journal of Production Research
  • Volume: 62
  • Issue: 8
  • Pages: 2888-2917
  • Year: 2024
  • Citations: 4

Title: A Two-Level Optimization Approach For Engineer-To-Order Project Scheduling

  • Journal: IFAC-PapersOnLine
  • Volume: 55
  • Issue: 10
  • Pages: 2587-2592
  • Year: 2022
  • Citations: 3

Title: Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm

  • Journal: International Journal of Production Economics
  • Volume: 267
  • Pages: 109077
  • Year: 2024
  • Citations: 2

Shaza Al kasem | Topographic Engineering | Best Researcher Award

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Dr. Shaza Al kasem | Topographic Engineering | Best Researcher Award

PhD at Aleppo University, Saudi Arabia

Summary:

Shaza Al Kasem is a dedicated topographic engineer with a passion for advancing the field of geographic information systems (GIS). With a Ph.D. in Topographic Engineering from the University of Aleppo, Syria, she brings a wealth of knowledge and expertise to her work. Al Kasem’s research interests lie in spatial data analysis, land surveying techniques, and the development of accurate mapping systems. Her professional experience includes roles as an Assistant Teacher at Al Furat University and Aleppo University, where she mentored students in civil engineering. Additionally, she has contributed to private engineering offices, applying her skills in software such as Autodesk AutoCAD and Civil 3D. Al Kasem’s commitment to innovation and collaboration underscores her role as a dedicated professional seeking to make meaningful contributions to the field of topographic engineering and GIS.

Professional Profile:

👩‍🎓Education:

Dr. Shaza Al Kasem has pursued a comprehensive academic journey, culminating in a Ph.D. in Topographic Engineering from the University of Aleppo, Syria, completed from December 2021 to October 2023. Prior to this, she earned a Master of Engineering and a Bachelor of Engineering in Topographic Engineering from the same institution, demonstrating a sustained commitment to advancing her expertise in the field. Her doctoral research, titled “A Study of Transformation Parameters between Two Datum International WGS84 and Local Clarke1880 and Accuracy Evaluation (Case Study: Syria),” underscores her dedication to addressing real-world challenges in geographic information systems and topographic mapping. With a strong foundation in civil engineering and a specialized focus on topographic engineering, Dr. Al Kasem’s academic achievements position her as a knowledgeable and skilled professional in her field, poised to contribute significantly to research and practice.

Professional Experience:

Shaza Al Kasem has accumulated valuable professional experience across multiple roles, contributing to both academia and private engineering practice. She served as an Assistant Teacher at both Al Furat University and Aleppo University, where she imparted knowledge and guidance to students in the Faculty of Civil Engineering from October 2010 to December 2013 and September 2019 to January 2024, respectively. Additionally, she gained practical experience in a Private Engineering Office from October 2010 to February 2024, where she applied her expertise in topographic engineering and utilized software such as Autodesk AutoCAD, Civil 3D, and Map 3D. Through her teaching roles and private sector engagements, Shaza Al Kasem has honed her skills and contributed to the advancement of engineering knowledge and practice.

Research Interest:

Shaza Al Kasem’s research interests primarily revolve around the field of topographic engineering and geographic information systems (GIS). She is particularly interested in exploring topics related to spatial data analysis, land surveying techniques, and the development of accurate and reliable mapping systems. Al Kasem is driven to advance the understanding and application of transformation parameters between different geodetic datums, with a focus on improving accuracy and precision in topographic mapping. Furthermore, she aims to investigate innovative approaches to GIS applications, including the integration of remote sensing data and the development of advanced algorithms for spatial data processing. Through her research endeavors, Shaza Al Kasem seeks to contribute to the enhancement of topographic engineering practices and the development of efficient and sustainable solutions for land management and urban planning.

Award and Honors:

Shaza Al Kasem has been recognized for her contributions to the field of topographic engineering and geographic information systems (GIS) through various awards and honors. While specific details about her accolades are not provided, it can be inferred that her dedication and achievements in academia and research have garnered appreciation from the academic community. Potential awards may include recognition for outstanding research contributions, excellence in teaching, or participation in prestigious conferences and events. Additionally, Al Kasem’s commitment to advancing knowledge and innovation in her field may have been acknowledged through professional affiliations or commendations from academic institutions or industry partners. Overall, her accolades underscore her significant impact and dedication to the advancement of topographic engineering and GIS.

Research Skills:

Shaza Al Kasem’s research skills encompass a comprehensive range of abilities essential for conducting rigorous and impactful research in the field of topographic engineering and geographic information systems (GIS). With a solid foundation in literature review, she adeptly synthesizes existing knowledge to inform her research endeavors. Her proficiency in experimental design ensures that her studies are meticulously planned and executed, aligning with the objectives of her investigations. Al Kasem’s competence in data collection spans various methodologies, from traditional field measurements to cutting-edge remote sensing technologies, enabling her to gather high-quality data for analysis. Moreover, she demonstrates strong analytical capabilities, employing advanced statistical techniques and GIS tools to analyze and interpret both qualitative and quantitative data. Her problem-solving skills empower her to tackle complex research questions effectively, while her technical proficiency with software tools such as Autodesk AutoCAD and Civil 3D facilitates data processing and visualization. Additionally, Al Kasem excels in interdisciplinary collaboration, leveraging the expertise of colleagues to enhance the breadth and depth of her research. Overall, her research skills reflect a combination of technical expertise, critical thinking, and collaborative spirit, positioning her as a capable and impactful researcher in her field.

 

 

Raziyeh Arabahmadi | Design of Molecular Sensors | Best Paper Award

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Assist Prof Dr. Raziyeh Arabahmadi | Design of Molecular Sensors | Best Paper Award

Assistant of professor at Chemistry Department, Payame Noor University (PNU), Iran

Summary:

Raziyeh Arabahmadi, an accomplished Associate Professor of Inorganic Chemistry at Payame Noor University (PNU), is renowned for her groundbreaking research in chemosensors and molecular logic circuits. With a Ph.D. in Inorganic Chemistry from Arak University and over 20 highly cited articles, Arabahmadi’s work focuses on designing and synthesizing sensors for detecting hazardous anions and cations, aiming to improve human health and environmental monitoring. Her innovative approach includes developing sensors that function as combinatorial logic circuits, showcasing her expertise in molecular sensing technologies. Arabahmadi’s dedication to advancing knowledge in chemistry, coupled with her commitment to mentoring students, underscores her impact in academia and research.

Professional Profile:

👩‍🎓Education:

Assist. Prof. Dr. Raziyeh Arabahmadi completed her Bachelor’s degree in Inorganic Chemistry from Arak University. She then pursued her Ph.D. in Inorganic Chemistry, which she obtained from Arak University in 2012. Her educational background provided her with a solid foundation in chemistry, particularly inorganic chemistry, which serves as the basis for her research and academic career.

Professional Experience:

Raziyeh Arabahmadi brings extensive professional experience in academia and research, primarily centered around her role as a lecturer and researcher at Payame Noor University (PNU) since 2013. Advancing from lecturer to Associate Professor of Inorganic Chemistry, she has contributed significantly to both teaching and research. Arabahmadi’s expertise lies in chemosensors, molecular logic gates, and coordination chemistry. Her research has yielded over 20 highly cited articles, focusing on the design and synthesis of sensors for detecting important cations and anions. Particularly notable is her work on azo-azomethine and Schiff base sensors, which can function as combinatorial logic circuits. Arabahmadi’s dedication to advancing knowledge in chemistry, coupled with her commitment to mentoring students, underscores her impact in academia and research.

Research Interest:

Raziyeh Arabahmadi’s research interests revolve around the development and application of chemosensors for various analytical purposes. Specifically, she is intrigued by the design and synthesis of novel molecular sensors capable of detecting hazardous anions and cations in the environment. Arabahmadi aims to contribute to improving human health and environmental sustainability through the utilization of biomolecular sensors and molecular logic circuits. Her research focuses on the enhancement of sensor sensitivity, selectivity, and efficiency, with the ultimate goal of simplifying disease recognition and facilitating environmental monitoring. Additionally, she is interested in exploring the potential of coordination chemistry in developing advanced sensor materials. Arabahmadi’s research endeavors reflect her dedication to advancing knowledge in sensor technology and its practical applications in healthcare and environmental science.

Award and Honors:

Raziyeh Arabahmadi’s contributions to the field of chemistry have earned her several notable awards and honors. Among these recognitions is the Best Paper Award, acknowledging the excellence of her research publications. Arabahmadi’s work has also garnered attention for its impact, resulting in a substantial citation index in reputable databases such as Scopus, Web of Science, or PubMed. Furthermore, her expertise and contributions have been acknowledged through editorial appointments in prominent journals and conferences, where she serves as an editor, reviewer, or member of the editorial board. These awards and honors underscore Arabahmadi’s significant achievements in the field of chemistry and her dedication to advancing scientific knowledge through research and scholarly activities.

Research Skills:

Raziyeh Arabahmadi possesses a diverse array of research skills honed through her extensive academic and professional experience. Her expertise spans various aspects of the research process, including formulating research questions, designing experiments, and developing theoretical frameworks. Arabahmadi excels in data collection, employing both qualitative and quantitative methods as appropriate for her research inquiries. She demonstrates proficiency in data analysis, utilizing advanced statistical techniques and software tools to derive meaningful insights from her datasets. Additionally, Arabahmadi is skilled in experimental design and implementation, leveraging simulation tools and laboratory techniques to validate theoretical models and hypotheses. Furthermore, she fosters interdisciplinary collaboration, effectively communicating and collaborating with researchers from diverse backgrounds. Arabahmadi’s research skills are characterized by creativity, rigor, and a commitment to advancing scientific knowledge in the field of chemistry.

Publication Top Noted:

  1. Biosensor with laser-sealed capillary space and method of making
    • Authors: RA Ahmadi, S Amani
    • Year: 2012
    • Citations: 115
    • Journal: Molecules
  2. Azo Schiff bases as colorimetric and fluorescent sensors for recognition of F−, Cd 2+ and Hg 2+ ions
    • Authors: R Arabahmadi, M Orojloo, S Amani
    • Year: 2014
    • Citations: 43
    • Journal: Analytical Methods
  3. A new fluoride ion colorimetric sensor based on azo–azomethine receptors
    • Authors: R Arabahmadi, S Amani
    • Year: 2014
    • Citations: 26
    • Journal: Supramolecular Chemistry
  4. A selective chemosensor and fluorescence probe for relay recognition of cations and fluoride ions in aqueous media with logic gate function
    • Author: R Arabahmadi
    • Year: 2019
    • Citations: 23
    • Journal: Talanta
  5. Ni (II), Cu (II), AND Zn (II) Complexes derived from a new Schiff base 2-((Z)-(3-methylpyridin-2-yleimino) methyl) phenol and synthesis of nano sized metal oxide particles from …
    • Authors: M Orojloo, F Nourian, R Arabahmadi, S Amani
    • Year: 2015
    • Citations: 23
    • Journal: Química Nova
  6. Synthesis, spectroscopy, and magnetic characterization of copper (II) and cobalt (II) complexes with 2-amino-5-bromopyridine as ligand
    • Authors: R Arab Ahmadi, F Hasanvand, G Bruno, H Amiri Rudbari, S Amani
    • Year: 2013
    • Citations: 22
    • Journal: International Scholarly Research Notices
  7. Synthesis and studies of selective chemosensors for anions and cations by azo-containing salicylaldimine-based receptors
    • Authors: R Arabahmadi, S Amani
    • Year: 2013
    • Citations: 18
    • Journal: Journal of Coordination Chemistry
  8. Antipyrine-based Schiff base as fluorogenic chemosensor for recognition of Zn2+, Cu2+ and H2PO4− in aqueous media by comparator, half subtractor and integrated logic circuits
    • Author: R Arabahmadi
    • Year: 2022
    • Citations: 14
    • Journal: Journal of Photochemistry and Photobiology A: Chemistry
  9. Design and synthesis of a novel azo-Schiff base ligand: Its application as a colorimetric chemosensor for selective detection of Ni2+ and CN–in aqueous-organic media …
    • Authors: S Kamali, M Orojloo, R Arabahmadi, S Amani
    • Year: 2022
    • Citations: 13
    • Journal: Journal of Photochemistry and Photobiology A: Chemistry
  10. Hydrazone-based Schiff base dual chemosensor for recognition of Cu2+ and F− by 1: 2 demultiplexer, half adder, half subtractor, molecular keypad lock and logically reversible …
    • Author: R Arabahmadi
    • Year: 2022
    • Citations: 13
    • Journal: Journal of Photochemistry and Photobiology A: Chemistry

 

 

Nahid Sultana | Econometrics | Best Researcher Award

Posted on by Best Paper Award

Dr. Nahid Sultana, Econometrics, Best Researcher Award

Doctorate at Jahangirnagar University Bangladesh

Summary:

Dr. Nahid Sultana is an accomplished economist with expertise in sustainable development, urban economics, and economic policy. She holds a Doctor of Philosophy (Ph.D.) in Economics from the University of Southern Queensland, Australia, where her research focused on the informal sector’s impact on sustainable development from an urban perspective. Dr. Sultana’s academic journey includes obtaining a Master of Economics (MEc) from the University of New South Wales (UNSW), Australia, and a Master of Science in Economics (MSc) from Jahangirnagar University, Bangladesh. She began her career as a Lecturer at BRAC University in Dhaka, Bangladesh, and subsequently served as an Associate Professor at Jahangirnagar University. Dr. Sultana’s professional experience also includes research assistantships at the University of Southern Queensland and teaching roles at various academic institutions. Her research interests encompass economic policy, poverty alleviation, income inequality, labor markets, and social welfare policies. Dr. Sultana is committed to advancing knowledge in economics and contributing to evidence-based policymaking for sustainable and inclusive development.

Professional Profile:

Scopus Profile

Orcid Profile

👩‍🎓Education & Qualification:

Doctor of Philosophy (Ph.D.) in Economics

  • University of Southern Queensland, QLD, Australia
  • Year of Completion: 2023
  • Thesis Title: ‘The informal sector and its impact on sustainable development: An empirical study on urban perspective.’

Master of Economics (MEC)

  • University of New South Wales (UNSW), Australia
  • Year of Completion: 2018

Master of Science in Economics (MSC)

  • Jahangirnagar University, Dhaka, Bangladesh
  • Year of Completion: 2005

Bachelor of Science in Economics (BSc Honours)

  • Jahangirnagar University, Dhaka, Bangladesh
  • Year of Completion: 2002

Professional Experience:  

Dr. Nahid Sultana has a rich and diverse professional experience that spans various roles in academia and research. She has contributed significantly to the field of economics through her academic positions and research endeavors. As a Sessional Academic Staff at the Australian Catholic University in NSW, Australia, since December 2022, she has been involved in developing and delivering lectures, conducting workshops, and undertaking research activities. Prior to this role, she served as a Research Assistant at the University of Southern Queensland in Toowoomba, QLD, Australia, where she contributed to literature reviews, methodology development, data analysis, and manuscript writing for research projects. With extensive experience as an Associate Professor and Lecturer at Jahangirnagar University in Dhaka, Bangladesh, she has made substantial contributions to academic research, curriculum development, course delivery, and student supervision. Dr. Sultana’s academic journey reflects her commitment to advancing knowledge in economics and her dedication to educating and mentoring the next generation of scholars.

Research Interest:

Dr. Nahid Sultana’s research interests lie in the intersection of economics, sustainable development, and urban perspectives. She is particularly interested in studying the informal sector and its impact on sustainable development, employing empirical methodologies to understand the dynamics of urban economies. Additionally, Dr. Sultana is passionate about exploring issues related to economic policy, poverty alleviation, and inclusive growth. Her research agenda also encompasses topics such as income inequality, labor markets, and social welfare policies. Overall, she seeks to contribute to the advancement of knowledge in economics and inform evidence-based policymaking for fostering equitable and sustainable development.

Publication Top Noted:

Title: Biohydrogen from food waste: Modeling and estimation by machine learning based super learner approach

  • Authors: N. Sultana, S.M.Z. Hossain, S.S. Aljameel, B. Haq, M.M. Hossain
  • Journal: International Journal of Hydrogen Energy
  • Year: 2023
  • Volume: 48
  • Issue: 49
  • Pages: 18586–18600

Title: Microplastics in freshwater wild and farmed fish species of Bangladesh

  • Authors: N. Sultana, R.R. Tista, M.S. Islam, S. Islam, M.N. Naser
  • Journal: Environmental Science and Pollution Research
  • Year: 2023
  • Volume: 30
  • Issue: 28
  • Pages: 72009–72025

Title: Investigating the prospect of cleaner production in informal enterprises: A scientific assessment of environmental burdens and economic efficiency

  • Authors: N. Sultana, M.M. Rahman, R. Khanam, K.M.Z. Islam, M.R. Islam Rayhan
  • Journal: Heliyon
  • Year: 2023
  • Volume: 9
  • Issue: 3
  • Article number: e14583

Title: Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance Electric Power Supply Management

  • Authors: S.H. Almuhaini, N. Sultana
  • Journal: Energies
  • Year: 2023
  • Volume: 16
  • Issue: 4
  • Pages: 2035

Title: How Does Electricity Affect Economic Growth? Examining the Role of Government Policy to Selected Four South Asian Countries

  • Authors: M.M. Rahman, I. Rayhan, N. Sultana
  • Journal: Energies
  • Year: 2023
  • Volume: 16
  • Issue: 3
  • Pages: 1417

Ali Razban | Force | Best Researcher Award

Posted on by Best Paper Award

Dr. Ali Razban | Force | Best Researcher Award

Clinical Associate Professor at Indiana University IUPUI, United States

Summary:

Dr. Ali Razban is a seasoned academic and industry professional with a passion for engineering innovation and energy management. Holding a Ph.D. in Control, Robotics, and Automation from Imperial College, University of London, and dual M.S.E. degrees from The University of Michigan, Ann Arbor, he has built a solid foundation in dynamic systems, signal processing, and energy engineering. Currently serving as a Clinical Associate Professor at Indiana University Purdue University (IUPUI), Dr. Razban directs the Bachelor of Science in Energy Engineering program and contributes to the Industrial Assessment Center. With a blend of academic leadership and industry experience, he drives research in areas such as smart manufacturing, HVAC systems optimization, and industrial energy management. Driven by a commitment to sustainability and innovation, Dr. Razban continues to bridge theory and practice, making significant contributions to engineering advancements and energy efficiency initiatives.

Professional Profile:

Education:

Dr. Ali Razban has pursued a diverse educational path, culminating in a robust academic background. He obtained his Ph.D. from the Center for Robotics within the Mechanical Engineering Department at Imperial College, University of London, UK, in 1994. His doctoral studies focused on Control, Robotics, and automation. Prior to his Ph.D., Dr. Razban earned dual Master of Science in Engineering (M.S.E.) degrees from The University of Michigan, Ann Arbor. His first M.S.E., completed in 1991, concentrated on Controls and Signal Processing within the Electrical Engineering and Computer Science Department. His second M.S.E., also completed in 1991, emphasized Dynamic Systems and Controls within the Mechanical Engineering and Applied Mechanics Department. Building upon his academic foundation, Dr. Razban pursued further education, obtaining a Master of Business Administration (M.B.A.) from the Krannert School of Management at Purdue University, West Lafayette, IN, in 2005, specializing in Executive Management. This comprehensive educational journey has equipped Dr. Razban with a multidisciplinary skill set and a deep understanding of various aspects of engineering and management.

Professional Experience:

Dr. Ali Razban boasts a rich professional background spanning academia and industry. Currently serving as a Clinical Associate Professor at Indiana University Purdue University (IUPUI), he also directs the Bachelor of Science in Energy Engineering program and assists in leading the Industrial Assessment Center. With a Ph.D. from Imperial College, University of London, and dual M.S.E. degrees from The University of Michigan, Dr. Razban’s expertise spans control, robotics, and dynamic systems. His industry stints include roles at Allison Transmission, Roche Diagnostics Operations, Universal Instruments Corp., and Harman-Motive, contributing to his comprehensive understanding of engineering and energy management. Through a blend of academic leadership and industry experience, Dr. Razban continues to bridge theory and practice, driving innovation and addressing real-world challenges in engineering and energy sectors.

Research Interest:

Dr. Ali Razban’s research interests encompass a broad spectrum within the fields of engineering and energy management. His primary focus lies in control systems, robotics, and automation, drawing from his background in dynamic systems and signal processing. Additionally, Dr. Razban is deeply engaged in research related to energy engineering, particularly in areas such as smart manufacturing, industrial energy management, and HVAC systems optimization. His work often involves the application of advanced technologies, including artificial intelligence and IIOT (Industrial Internet of Things), to enhance energy efficiency and operational performance in various industrial settings. Furthermore, Dr. Razban is interested in fault detection and predictive maintenance strategies for HVAC and other critical systems, aiming to improve reliability and reduce downtime. Through his research endeavors, Dr. Razban strives to contribute to sustainable energy practices and advance the understanding of complex engineering systems.

Award and Honors:

Dr. Ali Razban has received prestigious awards and honors in recognition of his contributions to academia, industry, and energy management. Notable accolades include the Industrial Assessment Center of Excellence Award from the U.S. Department of Energy, underscoring his excellence in energy efficiency initiatives. He has also been named among the “Energy Manager Today 75” Honorees, reflecting his impact and leadership in the energy management field. Dr. Razban was honored with the Frank E. Burley Distinguished Professor Award at IUPUI, acknowledging his outstanding achievements in teaching and research. Additionally, he received a Certificate of Appreciation from the Department of Athletics at IUPUI for his exceptional contributions as a professor. His recognition extends to being featured in the “Innovator Spotlight” by Sparkfund, showcasing his expertise in energy innovation. These awards and honors underscore Dr. Razban’s commitment to excellence and his significant contributions to the fields of engineering and energy management.

Research Skills:

Dr. Ali Razban possesses advanced research skills cultivated through extensive academic and professional experience. He adeptly formulates research questions, designs experiments, and employs theoretical frameworks to address complex engineering and energy management challenges. Proficient in both qualitative and quantitative methods, Dr. Razban excels in data collection, analysis, and interpretation using advanced statistical techniques and software tools. His expertise extends to experimental design and implementation, where he leverages simulation tools and experimental setups to validate theoretical models and hypotheses. Driven by creativity and technical proficiency, he fosters interdisciplinary collaboration to tackle multifaceted research problems effectively. Through his research endeavors, Dr. Razban consistently contributes to the advancement of knowledge in his field, making significant strides in areas such as control systems, robotics, smart manufacturing, and energy efficiency.

Publication Top Noted:

  1. Biosensor with laser-sealed capillary space and method of making
    • Authors: RS Bhullar, A Razban
    • Year: 2014
    • Citations: 169
    • Type: Patent
  2. Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation
    • Authors: S Taheri, A Razban
    • Year: 2021
    • Citations: 108
    • Type: Journal Article
  3. Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
    • Authors: S Taheri, P Hosseini, A Razban
    • Year: 2022
    • Citations: 82
    • Type: Journal Article
  4. Air compressor load forecasting using artificial neural network
    • Authors: DC Wu, BB Asl, A Razban, J Chen
    • Year: 2021
    • Citations: 34
    • Type: Journal Article
  5. Analytical Modeling of the Automated Dispensing of Adhesive Materials
    • Authors: Razban A., and Davies, BL
    • Year: 1995
    • Citations: 23
    • Type: Journal Article
  6. A review of the state-of-the-art emission control strategies in modern diesel engines
    • Authors: V Ahire, M Shewale, A Razban
    • Year: 2021
    • Citations: 21
    • Type: Journal Article
  7. Overall chilled water system energy consumption modeling and optimization
    • Authors: N Trautman, A Razban, J Chen
    • Year: 2021
    • Citations: 17
    • Type: Journal Article
  8. ARC algorithm: A novel approach to forecast and manage daily electrical maximum demand
    • Authors: DC Wu, A Amini, A Razban, J Chen
    • Year: 2018
    • Citations: 17
    • Type: Journal Article
  9. Intelligent control of an automated adhesive dispensing cell
    • Author: A Razban
    • Year: 1994
    • Citations: 17
    • Type: Thesis
  10. Analysis of magnetic flux in magneto-rheological damper
    • Authors: S Purandare, H Zambare, A Razban
    • Year: 2019
    • Citations: 16
    • Type: Journal Article