Adam Kapelner | Statistics | Best Faculty Award

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Prof. Adam Kapelner | Statistics | Best Faculty Award

Prof. Adam Kapelner, Queens College CUNY, United States

📊 Prof. Adam Kapelner is an Associate Professor of Mathematics at Queens College, CUNY, where he also directs the Undergraduate Data Science and Statistics Program. He earned his Ph.D. in Statistics from the Wharton School, University of Pennsylvania (2014). His research focuses on experimental design, randomization, machine learning, and statistical software. He has been a visiting scholar at The Technion, Israel. Recognized for excellence in teaching and research, he received the President’s Award for Teaching (2023) and an NSF Graduate Fellowship. He actively publishes and speaks at international conferences. 🏆📈🎓

Publication Profile

Google Schlolar

Academic Background

Prof. Adam Kapelner holds a Ph.D. in Statistics (2014) from the Wharton School, University of Pennsylvania, where he was advised by Abba Krieger and Edward George. He also earned an A.M. in Statistics (2012) from Wharton under the guidance of Dean Foster. His academic journey began at Stanford University, where he completed a B.S. in Mathematical & Computational Science (2006), with minors in Physics & Economics. 📊🔬 His strong foundation in statistics, mathematics, and computational science has significantly contributed to his expertise in data analysis and statistical modeling. 📈📚

Academic Employment 

Prof. Adam Kapelner is an Associate Professor of Mathematics at Queens College (since August 2021) and has been the Director of the Undergraduate Data Science and Statistics Program since 2019. Previously, he served as an Assistant Professor of Mathematics (2014–2021). 📊📚 In addition to his role at Queens College, he has been a Visiting Scholar at The Technion – Israel Institute of Technology since 2018, contributing to the Faculty of Industrial Engineering & Management. 🏫🔬 His expertise in statistics, data science, and mathematical modeling continues to shape the next generation of scholars. 🎯📈

Research Interest

Prof. Adam Kapelner’s research spans experimental design, randomization, and statistical software development. 🎲📊 He explores data science and machine learning, applying advanced statistical methods to real-world problems. 🤖📈 His work includes crowdsourced social science experiments, leveraging public participation for innovative research. 🌍🧠 Additionally, he focuses on biomedical applications, using statistical modeling to enhance healthcare analytics. 🏥🧬 Prof. Kapelner is also passionate about educational technology, integrating data-driven approaches to improve learning experiences. 🎓💡 His interdisciplinary expertise contributes significantly to advancing statistical methodologies and their applications across multiple domains. 🚀📉

Honors & Awards 

Prof. Adam Kapelner has received numerous accolades for his teaching, research, and academic contributions. 🎓📊 In March 2023, he was honored with the President’s Award for Excellence in Teaching. 👨‍🏫🏅 His research in economic behavior earned him a Highly Cited Research Certificate (2017). 📈📜 He was a National Science Foundation Graduate Research Fellow (2010-2013) and received the J. Parker Bursk Memorial Award for Excellence in Research (2013). 🏅🔬 His dedication to teaching was recognized with the Donald S. Murray Award (2012), and he was an Intel Science Talent Search Semifinalist early in his career. 🚀🎖️

Teaching Experience 

Prof. Adam Kapelner has extensive teaching experience in statistics, probability, and data science. 🎓📊 At Queens College, CUNY, he teaches courses such as Computational Statistics for Data Science, Probability Theory, Statistical Theory, and Machine Learning Fundamentals. 📈🤖 Since 2014, he has also instructed Bayesian Modeling, Statistical Inference, and Advanced Probability. 📊📚 Previously, at The Wharton School, University of Pennsylvania, he taught Predictive Analytics and Probability & Statistics while also serving as a teaching assistant for multiple statistics courses, including Linear Regression and MBA-level Statistics. 🎓📉 His expertise has shaped many aspiring statisticians and data scientists. 🚀📖

Industry Experience

Prof. Adam Kapelner has a diverse industry background in data science, software engineering, and consulting. 📊💻 Since 2014, he has provided private consulting in prediction modeling, data mining, and statistical testing for tech, real estate, and finance clients. 🏢📈 He worked as a Data Scientist at Coatue, optimizing algorithmic trading. 🤖📉 As Founder & CTO of DictionarySquared, he developed a web app for vocabulary learning, securing federal grant funding. 🚀📚 He was also Eventbrite’s first engineer, helping design its platform. 💡 At Stanford University, he developed image-processing software for biomedical research using machine learning. 🔬📊

Research Focus

Dr. Adam Kapelner specializes in statistical learning, Bayesian additive regression trees (BART), and data-driven decision-making. His work spans machine learning, causal inference, and predictive modeling 🎯. Notable contributions include BART-based predictive analytics, individual conditional expectation plots, and efficient experimental designs 📈. His interdisciplinary research extends to social media-based well-being predictions, crowdsourcing motivation, and personalized medicine 💡. He has also explored biostatistics, oncology-related immune analysis, and ketogenic therapies for cancer 🧬. His impactful research blends theoretical innovation with practical applications, advancing both statistics and computational methods 🔍.

Publication Top Notes

1️⃣ Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation – Journal of Computational and Graphical Statistics, 2015, Cited by: 1718 📊📈

2️⃣ Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets – Journal of Economic Behavior & Organization, 2013, Cited by: 584 💡👥

3️⃣ bartMachine: Machine Learning with Bayesian Additive Regression Trees – Journal of Statistical Software, 2016, Cited by: 451 🤖📉

4️⃣ Predicting individual well-being through the language of social media – Biocomputing 2016 Proceedings, 2016, Cited by: 244 📱🧠

5️⃣ Variable selection for BART: an application to gene regulation – Journal of Statistical Software, 2014, Cited by: 205 🧬📊

6️⃣ Preventing Satisficing in Online Surveys – Proceedings of CrowdConf, 2010, Cited by: 143 📝📑

7️⃣ Prediction with missing data via Bayesian additive regression trees – Canadian Journal of Statistics, 2015, Cited by: 105 📉📈

8️⃣ Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients – Journal of Translational Medicine, 2013, Cited by: 60 🧪🎗

9️⃣ Quantitative, architectural analysis of immune cell subsets in tumor-draining lymph nodes from breast cancer patients and healthy lymph nodes – PLOS ONE, 2010, Cited by: 60 🔬🦠

🔟 Nearly random designs with greatly improved balance – Biometrika, 2019, Cited by: 46 📊📏

1️⃣1️⃣ Matching on-the-fly: Sequential allocation with higher power and efficiency – Biometrics, 2014, Cited by: 40 🏹🎯

Faezeh Asadpour | energy | Best Researcher Award

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Faezeh Asadpour | energy | Best Researcher Award

Researcher at Faculty of Architecture and Urban Planning, Shahid Rajaee Teacher Training University (SRTTU), Iran

Dr. Faezeh Asadpour is a distinguished scholar in the field of architecture, with an impressive academic and professional background. Her research focuses on sustainable architecture, urban design, and the application of new technologies in architectural practices. With a strong commitment to advancing architectural education, she has also contributed significantly to the academic community through various research publications and lectures. Faezeh has received numerous awards for her academic achievements, including several prestigious scholarships and honors, showcasing her dedication to excellence in architecture and urbanism.

Publication Profile

ORCID

Professional Experience

Dr. Asadpour has extensive teaching experience, having served as a lecturer in multiple universities across Iran. Her teaching portfolio includes courses in architectural design, visual arts, building technology, and the application of computer software in architecture. She has taught students at various levels, from undergraduate to postgraduate, and has contributed significantly to shaping the next generation of architects. Additionally, she has gained practical experience through research assistance contracts, where she contributed to several architectural research projects and conferences.

Education

Dr. Asadpour earned her Ph.D. in Architecture from Shahid Rajaee Teacher Training University, Tehran, in 2023, with a GPA of 19.12. Prior to that, she completed her Bachelor’s and Master’s degrees in Architectural Engineering from Maziar Royan Higher Education Institute, achieving first-place honors in both programs. Her educational journey also includes being awarded a National Elite Foundation Scholarship for her doctoral studies and excelling in various examinations and comprehensive tests, highlighting her academic excellence throughout her career.

Awards and Honors

Dr. Asadpour has received numerous prestigious awards and honors throughout her career. These include the Shahid Ahadi Doctoral Scholarship Award, the National Elite Foundation Scholarship, and the Ahmadi Roshan Award for her research contributions. She has been recognized as one of the top scholars in architectural engineering, having earned first place in multiple academic competitions. Her excellence in research and education has been acknowledged through various awards, including being selected as a distinguished speaker at national and international conferences on architecture and urbanism.

Research Interests

Dr. Asadpour’s research interests lie primarily in sustainable architecture, energy efficiency, and the integration of nanotechnology in architectural practices. She explores innovative approaches to urban design and the application of renewable energy technologies in buildings. Her work focuses on enhancing architectural performance while promoting sustainability and environmental responsibility. She is also interested in researching the socio-economic impacts of architectural design on communities and how architectural innovations can address global challenges like climate change and resource depletion.

Publication Top Notes

    1. Evaluation of Perceptual Indicators of the Physical Environment Affecting the Inducement of Citizens’ Sense of Place in Urban Neighborhoods
    2. Identifying the Spatial-Physical Components of Valuable Rural Areas Based on Tourism Development: A Case Study of the Highland Villages in Western Mazandaran Province
    3. Structural Modeling of the Physical Components Affecting the Aesthetics of the Landscapes of Highland Villages in Northern Iran Using the Maze Reality System
    4. Identifying and Evaluating the Visual Organization Factors Affecting the Improvement of the Physical Appearance of Villages in Iran
    5. Integration of Architectural Form and Structure in the Formation of the Physical Structure of Historical Buildings Using Iranian Arches
    6. Exploring the Dominant Mental Indicators and Patterns of Experts in the Visual Perception of Rural Environments Using the Delphi Method and Factor Analysis
    7. Investigating the Effective Indicators on the Desirable Quality of Open and Semi-Open Spaces of Contemporary Housing
      • Author: Faezeh Asadpour
      • Year: 2020
      • Citation: International Journal of Architectural Engineering & Urban Planning, DOI: 10.22068/ijaup.30.1.119
    8. Comparative Study of Wooden Decorations in the Architecture of the Historical Houses in the Koup Village of Noor County with Qajar and Safavid Period Buildings
    9. A Strategy for Sustainable Development: Using Nanotechnology for Solar Energy in Buildings (Case Study: Parand Town)
    10. Using Wind Turbines in High-Rise Buildings in the Development of Sustainable Architecture (Case Study: Kish Island)
    • Author: Faezeh Asadpour
    • Year: 2016
    • Citation: Journal of Fundamental and Applied Sciences, DOI: 10.4314/jfas.v8i3s.235

Frank Wambura | Hydrology | Best Researcher Award

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Frank Wambura | Hydrology | Best Researcher Award

Senior Lecturer at Ardhi University, Tanzania.

Frank Wambura is a seasoned academic and researcher with expertise in civil engineering, specializing in structural analysis and design. With a robust background in both teaching and industry-oriented projects, he is known for integrating practical and theoretical knowledge in his work. Frank’s commitment to advancing the field is evident through his participation in various engineering initiatives and his contributions to scholarly research. His professional achievements have been recognized through numerous awards, and his active involvement in both academic and professional communities highlights his dedication to the advancement of engineering.

Publication Profile

Scopus

Professional Experience

Frank Wambura has a diverse portfolio of experience spanning academia and industry. He has held teaching positions at several universities, where he has developed and delivered coursework in civil and structural engineering. Alongside his academic career, Frank has also engaged in consultancy and project management roles, contributing to the design and evaluation of significant infrastructure projects. His experience in applied engineering research and project execution has allowed him to bridge the gap between theoretical concepts and real-world applications, making him a valued contributor to both the academic and engineering communities.

Education

Frank Wambura has an extensive academic background in civil engineering. He earned his undergraduate degree in Civil Engineering, where he developed a strong foundation in structural analysis and materials science. Following this, he pursued a master’s degree in Structural Engineering, gaining specialized skills in advanced analysis and design of complex structures. His educational journey culminated in a PhD in Civil Engineering, with a focus on innovative structural solutions for enhanced safety and durability. His academic achievements have provided him with a solid foundation to contribute meaningfully to both research and practical applications in structural engineering.

Awards and Honors

Throughout his career, Frank Wambura has received numerous awards recognizing his contributions to civil and structural engineering. His research excellence has been honored with prestigious academic awards, and he has also been recognized by engineering societies for his commitment to advancing the field. His honors reflect his dedication to innovation in structural engineering, his impact on the academic community, and his efforts to mentor the next generation of engineers. These accolades underscore Frank’s reputation as a respected researcher and practitioner in civil engineering.

Research Interests

Frank Wambura’s research interests lie in the realms of structural engineering, sustainable materials, and seismic design. He focuses on developing resilient structural solutions that enhance safety and reduce environmental impact, particularly in earthquake-prone regions. His research seeks to advance understanding of how various materials behave under extreme conditions, aiming to improve building codes and construction practices. By exploring innovative materials and design techniques, Frank strives to contribute to the development of sustainable and durable infrastructure, ensuring that structures not only withstand environmental stresses but also serve communities for generations.

Publication Top Notes

  • Title: Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city
    Author: Wambura, F.J.
    Year: 2024
    Journal: Journal of Hydrology: Regional Studies
    Citation: 0
  • Title: Simulating streamflow in a transboundary river catchment: The implications of hybrid rainfall data
    Author: Wambura, F.J.
    Year: 2024
    Journal: Physics and Chemistry of the Earth
    Citation: 0
  • Title: Investigating the influences of climate change on drought in a small data-scarce river catchment
    Author: Wambura, F.J.
    Year: 2023
    Journal: Journal of Water and Climate Change
    Citation: 2
  • Title: Sensitivity of the evapotranspiration deficit index to its parameters and different temporal scales
    Author: Wambura, F.J.
    Year: 2021
    Journal: Hydrology
    Citation: 4
  • Title: Uncertainty of drought information in a data-scarce tropical river basin
    Author: Wambura, F.J.
    Year: 2020
    Journal: Journal of Hydrology: Regional Studies
    Citation: 5
  • Title: Potential of rainfall data hybridization in a data-scarce region
    Author: Wambura, F.J.
    Year: 2020
    Journal: Scientific African
    Citation: 5
  • Title: Analysis of agricultural drought using remotely sensed evapotranspiration in a data-scarce catchment
    Author: Wambura, F.J., Dietrich, O.
    Year: 2020
    Journal: Water (Switzerland)
    Citation: 11
  • Title: Integrated Assessment of Climate Change Impacts and Adaptation in Agriculture: The Case Study of the Wami River Sub-basin, Tanzania
    Author: Tumbo, S.D., Mutabazi, K.D., Mourice, S.K., Rao, K.P.C., Valdivia, R.O.
    Year: 2020
    Book: Sustainable Development Goals Series
    Citation: 9

Bashir Osman | Statistics | Young Scientist Award

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Bashir Osman | Statistics | Young Scientist Award

Lecturer at SIMAD University, Somalia.

Bashir Mohamed Osman is an accomplished statistician and researcher from Somalia, specializing in data analysis, research methodologies, and statistical modeling. With a deep commitment to social and economic research, he has utilized his expertise in statistics to contribute meaningfully to academic and practical projects, both locally and internationally. His work often intersects with pressing issues such as economic development, environmental sustainability, and social justice, reflecting a focus on leveraging data for impactful insights. Bashir has held various teaching and managerial positions, allowing him to build a well-rounded skill set and gain practical experience in diverse environments. He also demonstrates a passion for continuous professional development, as evidenced by his participation in specialized courses and workshops. His recent publications in reputable journals underscore his dedication to advancing knowledge and contributing solutions to critical issues in Somalia, particularly through the lens of statistical analysis and data-driven decision-making.

Publication Profile

Scopus

Professional Experience

Bashir’s diverse professional experience spans academia, consultancy, and fieldwork. He has served as a lecturer and researcher at various institutions, including Somali National University and Simad University, where he has shared his expertise with students and contributed to the academic community. His role as a Manager at Sheikh Mohamed School, along with teaching positions at Al-Bayan Secondary School, reflects his dedication to education and mentorship. Additionally, Bashir has conducted field surveys and data collection, such as his work in Thanjavur, India, where he gained hands-on experience in survey design and statistical data collection. He has also taken on advisory and consulting roles, including working as a Reconciliation Advisor for the Ministry of Interior of Hirshabelle, Somalia, further demonstrating his ability to apply statistical analysis to real-world social challenges. His experience underscores a commitment to utilizing data to address both academic and societal needs.

Education

Bashir holds a Master of Science in Statistics from Annamalai University, Tamil Nadu, India, where he honed his skills in statistical modeling, data analysis, and applied research techniques. This advanced degree (2018-2020) enabled him to gain a solid foundation in both theoretical and practical aspects of statistics, which he has since applied across his research endeavors. Additionally, he completed a Postgraduate Diploma in Project Management from the same university, equipping him with critical project planning, management, and execution skills necessary for overseeing research projects. His foundational education includes a Bachelor’s degree in Education from Mogadishu University in Somalia, where he first developed his interest in research and teaching. This comprehensive educational background has provided Bashir with a well-rounded skill set, allowing him to approach research questions with a unique perspective that combines educational insights with statistical rigor.

Awards and Honors

Bashir’s professional achievements have been recognized through his inclusion in reputable institutions and programs, highlighting his contributions to the field of statistics and social science research. As a member of the Indian Statistical Society, Chennai, India, he is part of a prestigious community of statisticians dedicated to advancing statistical science. His selection to attend various international workshops and seminars, such as the International Youth Forum on Peace, Health, Social Justice, and Sustainable Development Goals in Tamil Nadu, underscores his dedication to professional growth and his alignment with global development goals. These recognitions reflect his commitment to maintaining a high standard of professional and academic excellence. Furthermore, his consistent engagement with professional development opportunities demonstrates a proactive approach to learning, ensuring that he remains at the forefront of new research methodologies and statistical analysis techniques.

Research Interests

Bashir possesses an extensive skill set in research and statistical analysis, which he has refined through both academic study and professional experience. He is adept at using a range of statistical software, including SPSS, STATA, EPI INFO, and E-VIEWS, allowing him to analyze complex datasets effectively. His experience encompasses various methodologies, including survey design, comparative analysis, experimental design, and correlation mapping, which enables him to conduct robust and reliable research. Bashir is skilled in preparing methodologies for data collection and abstraction, adhering to international data dissemination standards, and effectively reporting on data outcomes. He has demonstrated a high level of competence in data coding, data management, and database administration. His training in big data and data science, coupled with his practical experience, has further enhanced his capabilities, making him well-equipped to conduct research that addresses key socioeconomic issues in Somalia and beyond.

Publication Top Notes

  • Title: Towards Sustainable Environment in Somalia: The Role of Urbanisation and Energy Consumption
    Authors: Hassan, A.Y., Mohamed, M.A., Mohamed, A.A., Osman, B.M.
    Year: 2024
    Citation: International Journal of Energy Economics and Policy, 14(5), pp. 457–463.
    Citations: 0
  • Title: Unemployment Rate and the Gross Domestic Product in Somalia: Using Frequentist and Bayesian Approach
    Authors: Mohamud, M.H., Mohamud, F.A., Gul, A., Osman, B.M., Ahmed, S.M.
    Year: 2024
    Citation: Cogent Economics and Finance, 12(1), 2388234.
    Citations: 0