Mohammad Belal | Policy Implications | Best Researcher Award

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Mr. Mohammad Belal | Policy Implications | Best Researcher Award

 Aalto University | Finland

Publication Profile

Google Scholar

Biography of Mr. Mohammad Belal 👨‍💻

👨‍💻 Passionate Data Science & Machine Learning Enthusiast

Mohammad Belal is a driven researcher and technology enthusiast specializing in Data Science, Machine Learning, and Natural Language Processing (NLP). With a keen interest in solving social-centric problems, he is currently pursuing his Doctoral Research at Aalto University in Finland (2023-2027). His academic journey has been marked by a constant desire to understand and leverage data for impactful solutions.

🎓 Education

Mohammad holds a Master’s in Computer Application (MCA) from Aligarh Muslim University (AMU), where he achieved a remarkable CGPA of 9.32 and was among the top 3 in his class. He was awarded the prestigious University Merit Scholarship and actively contributed as a member of the Training and Placement Team. Prior to this, he completed his Bachelor’s in Computer Application (BCA), achieving a CGPA of 7.66 while working on a cab-hiring web application project.

🔬 Research Interests and Projects

Mohammad’s research interests revolve around exploring the intersection of technology and society. His ongoing research at Aalto University focuses on the association between internet usage and psychological well-being. He has previously worked on several impactful projects, including a study of social media usage by regional and national journalists with The News Lab at IIITD, and a sentiment analysis project during Colombia’s national strike using NLP techniques. His work on clustering the neighborhoods of Toronto based on cost of living using machine learning is a testament to his practical skills in data science.

💼 Professional Experience

his professional career, Mohammad has gained extensive experience in data science and business analysis. As a Data Scientist at TCNS Clothing Ltd., he worked on predictive modeling, sales reporting automation, and data-backed decision-making for marketing and sales. He also worked as a Data Analyst for CraftBazar, where he assisted in generating insights from sales data. Additionally, Mohammad has experience as a Web Developer at The Wings of Desire, where he managed the company website and supported event organization, as well as a Content Creator for UC Browser.

🗣️ Workshops and Conferences

Mohammad has actively participated in various workshops and conferences to stay updated in his field. He attended the Responsible AI for Peace and Security conference organized by the United Nations in 2024 and participated in discussions on the ethics of disruptive technology at IIITD Delhi. He has also attended workshops on Data Science using Python and Cyber Security, further strengthening his skills in these areas.

🎓 MOOCs and Certifications

To further his expertise, Mohammad has earned numerous online certifications in data science and machine learning, including a Data Science Professional Certificate from IBM and Neural Networks and Deep Learning from DeepLearning.AI. He has also completed specialized courses in Statistics for Data Science with Python and Computational Thinking for Problem Solving from Coursera and the University of Pennsylvania.

🏆 Awards & Achievements

Throughout his academic journey, Mohammad has been recognized for his outstanding performance. He received the Merit-cum-Means Scholarship from the Indian Government for three consecutive years during his Master’s program. His academic excellence was further acknowledged with a University Merit Scholarship at AMU.

📚 Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

    • Authors: M Belal, J She, S Wong

    • Journal: arXiv preprint

    • Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

    • Authors: M Belal, G Ullah, AA Khan

    • Journal: 2022 International Conference on Connected Systems & Intelligence (CSI)

    • Year: 2022

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

    • Authors: AA Khan, M Belal, G Ullah

    • Journal: International Conference on IoT, Intelligent Computing and Security: Select

    • Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

    • Authors: N Fatima, M Belal, K Kumar, R Sadaf

    • Journal: 2022 International Conference on Decision Aid Sciences and Applications

    • Year: 2022

Adapting to Change and Transforming Crisis into Opportunity-Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic

    • Authors: E Zaidan, L Cochrane, M Belal

    • Journal: Heliyon

    • Year: 2025

Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

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Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

Publication Profile

Orcid

Scopus

Research Gate

Google scholar

👩‍🏫 Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

🎓 Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

💼 Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023–Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012–2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014–2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

🏅 Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

🔧 Technical Skills

Dr. Radwan’s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

👩‍🏫 Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

🔬 Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 🗓️
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 🗓️
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 🗓️
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 🗓️
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 🗓️
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 🗓️

Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

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Dr. Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

The Ohio State University, United States

Author Profiles

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Research Gate

Early Academic Pursuits 🎓

Dr. Rituraj Upadhyay began his academic journey with a strong foundation in medical education at the prestigious All India Institute of Medical Sciences (AIIMS), New Delhi. There, he completed his Bachelor of Medicine and Surgery (MBBS) in 2014, followed by an MD in Radiation Oncology (2017). His early medical training was marked by a deep interest in radiotherapy and oncology, leading him to pursue a Diplomate of National Board (DNB) certification in Radiation Oncology. His academic endeavors during this time reflected a commitment to advancing medical knowledge and improving patient care through radiation oncology.

Professional Endeavors 🌍

Dr. Upadhyay’s professional career has been driven by a passion for advancing radiation oncology, particularly through his work in clinical and academic settings. His residency at The Ohio State University Wexner Medical Center (2021–2025) is a notable highlight in his professional journey, demonstrating his commitment to mastering the latest technologies and treatments in radiation oncology. Dr. Upadhyay’s time at renowned institutions like MD Anderson Cancer Center and Rutgers Cancer Institute of New Jersey has further solidified his standing as an emerging leader in the field. His pursuit of innovation and excellence is evident from his involvement in advanced radiation oncology fellowships and international research collaborations.

Contributions and Research Focus 🔬

Dr. Upadhyay’s research is at the forefront of radiation oncology, with a focus on improving treatment outcomes and minimizing side effects. He has contributed significantly to clinical trials and funded research, such as the “PRIMe-STAR trial” on progressive/recurrent intracranial meningiomas and the “AVATAR” system aimed at reducing anesthesia needs in pediatric radiotherapy. His research on stereotactic radiosurgery for brain metastases and radiation therapy for conditions like penile cancer and renal stereotactic ablative therapy underscores his diverse interests in cancer treatment. His studies have potential global impact, as reflected in his leadership role in multinational research endeavors.

Impact and Influence 🌟

Dr. Upadhyay’s influence extends beyond his research. As an educator and mentor, he actively shapes the next generation of radiation oncologists. His roles in mentoring medical students, residents, and fellows at institutions like The Ohio State University and Massachusetts General Hospital highlight his dedication to guiding aspiring professionals. He also plays a key role in enhancing the field through his involvement in various professional organizations such as the American Society for Radiation Oncology (ASTRO) and the Radiosurgery Society (RSS). His work as a guideline reviewer and committee member for several radiation oncology societies reflects his broad influence on the development of standards and best practices in the field.

Academic Cites 📚

Dr. Upadhyay’s research and academic work are well-regarded, with his contributions earning recognition through numerous awards and honors. Notable accolades include the American College of Radiation Oncology (ACRO) Best Abstract Award and the American Radium Society (ARS) Early Career Oncologist Award, which are testaments to his influential research on topics like stereotactic radiosurgery and palliative radiation therapy. These accolades further cement his reputation in the academic community, demonstrating the high regard in which his peers hold his research.

Technical Skills 💻

Dr. Upadhyay has developed a comprehensive set of technical skills that position him at the cutting edge of radiation oncology. His expertise spans advanced radiation therapy techniques such as stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), proton therapy, and image-guided brachytherapy. In addition, he is well-versed in cutting-edge technologies, including the use of artificial intelligence and machine learning in radiation oncology for treatment planning and quality assurance. His technical acumen is further demonstrated by his involvement in developing new approaches to enhance clinical outcomes for complex cancer cases.

Teaching Experience 📖

Dr. Upadhyay has dedicated substantial time to teaching and mentorship, sharing his expertise with medical students, residents, and fellow researchers. He has served as a moderator for educational webinars and a mentor for various research initiatives. His roles as a panelist and speaker at international conferences, such as the ASTRO Annual Meeting and the Ohio State University Cardio-Oncology Symposium, reflect his commitment to advancing education within the field of oncology. Through these initiatives, he has played a key role in shaping the future of radiation oncology education.

Legacy and Future Contributions 🔮

Dr. Upadhyay’s legacy in radiation oncology is already being established through his groundbreaking research and mentorship. His involvement in international clinical trials, such as the AVATAR system and the PRIMe-STAR trial, is likely to make a long-lasting impact on the clinical management of cancer patients globally. Looking forward, Dr. Upadhyay plans to continue advancing his research, particularly in the areas of stereotactic radiosurgery and precision medicine. His work promises to significantly shape the future of radiation oncology, particularly in improving treatment efficacy, minimizing side effects, and enhancing patient care across diverse populations.

 

Top Noted Publications 📖

Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas

Authors: Divya Yadav, Rituraj Upadhyay, Vinodh A. Kumar, Melissa M. Chen, Jason M. Johnson, Holly Langshaw, Brandon J. Curl, Maguy Farhat, Wasif Talpur, Thomas H. Beckham et al.

Journal: Practical Radiation Oncology

Year: 2024

Risk-Stratified Radiotherapy in Pediatric Cancer

Authors: Rituraj Upadhyay, Arnold C. Paulino

Journal: Cancers

Year: 2024

Disease Control and Toxicity Outcomes after Stereotactic Ablative Radiation Therapy for Recurrent and/or Metastatic Cancers in Young-Adult and Pediatric Patients

Authors: Rituraj Upadhyay, Brett Klamer, Jennifer Matsui, Vikram B. Chakravarthy, Thomas Scharschmidt, Nicholas Yeager, Bhuvana A. Setty, Timothy P. Cripe, Ryan D. Roberts, Jennifer H. Aldrink et al.

Journal: Cancers

Year: 2024

Quantifying the Risk and Dosimetric Variables of Symptomatic Brainstem Injury after Proton Beam Radiation in Pediatric Brain Tumors

Authors: Rituraj Upadhyay, Kaiping Liao, David R Grosshans, Susan L McGovern, Mary Frances McAleer, Wafik Zaky, Murali M Chintagumpala, Anita Mahajan, Debra Nana Yeboa, Arnold C Paulino

Journal: Neuro-Oncology

Year: 2022

Patterns of Failure after Radiation Therapy in Primary Spinal High-Grade Gliomas: A Single Institutional Analysis

Authors: Rituraj Upadhyay, Swapnil Khose, Halyna Pokhylevych, Arnold C Paulino, Mary Frances McAleer, Amol Ghia, Jing Li, Debra Nana Yeboa, Monica Loghin, Rebecca Harrison et al.

Journal: Neuro-Oncology Advances

Year: 2022

Aram Papoyan | Data Analysis Innovation | Best Researcher Award

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Prof. Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan at Institute for Physical Research, NAS of Armenia, Armenia

👨‍🎓  Profiles

🌟 Summary

Prof. Aram Papoyan is a distinguished expert in Laser Physics and Optics, known for his extensive research and leadership at the Institute for Physical Research in Armenia. He has played a pivotal role in international scientific collaborations.

🎓 Education

He earned his Master in Radiophysics from Yerevan State University in 1982, followed by a PhD in Optics from the Institute for Physical Research, NAS Armenia in 1991. In 2005, he completed his DSc in Laser Physics.

💼 Professional Experience

Prof. Papoyan has served as Director of the Institute for Physical Research since 2006 and heads the Laboratory of Optics. His previous roles include Vice-Director and Senior Researcher across various positions since 1986. He also supervises PhD students at the Russian-Armenian University.

🏆 Accolades and Recognition

He has received the Anania Shirakatsi Medal (2013) and the Galileo Galilei Award (2015) from the International Commission for Optics. Additionally, he was honored as an OSA Advocate of Optics in 2019 and holds multiple awards for contributions to physics.

🔬 Research Interests

Prof. Papoyan focuses on Laser Physics, Atomic Physics, and Quantum Optics, with interests in coherent population trapping, magneto-optical effects, and advanced optical imaging techniques, as well as laser-induced reactions and molecular spectroscopy.

 

📖 Top Noted Publications

Scanning technique for direct optical transmission imaging of highly-scattering objects
    • Authors: Svetlana Shmavonyan, Aleksandr Khanbekyan, Marina Movsisyan, Aram Papoyan
    • Journal: Optics and Lasers in Engineering
    • Year: 2025
Electromagnetically induced transparency with magnetically induced ΔF = 0, mF = 0 → mF = 0 probe transition
    • Authors: Armen Sargsyan, David Sarkisyan, Aram Papoyan
    • Journal: Laser Physics
    • Year: 2024
Mirrorless Lasing: A Theoretical Perspective
    • Authors: A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya
    • Journal: Optical Memory and Neural Networks
    • Year: 2023
Peculiarities of Fluorescence of Rb Atomic Vapors Contained in a cell with an anti-relaxation coating
    • Authors: Aram Papoyan
    • Journal: Optics and Spectroscopy
    • Year: 2023
Wide range linear magnetometer based on a sub-microsized K vapor cell
    • Authors: M. Auzinsh, A. Sargsyan, A. Tonoyan, C. Leroy, R. Momier, D. Sarkisyan, A. Papoyan
    • Journal: Applied Optics
    • Year: 2022

Cancellation of D1 line transitions of alkali-metal atoms by magnetic-field values

    • Authors: Artur Aleksanyan, Rodolphe Momier, Emil Gazazyan, Aram Papoyan, Claude Leroy
    • Journal: Physical Review A
    • Year: 2022

Di Mao | Data Analysis | Best Researcher Award

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Mr. Di Mao | Data Analysis | Best Researcher Award

Mr. Di Mao at Peking University Third Clinical School of Medicine, China

👨‍🎓 Profile

👩‍⚕️ Summary

Di Mao is a dedicated medical student at Peking University Health Science Center, specializing in clinical research. With a focus on reproductive health, she investigates the implications of various health conditions on fertility and pregnancy outcomes.

🎓 Education

Currently enrolled in the Eight-Year Undergraduate Program in Clinical Medicine at Peking University Health Science Center since 2021.

💼 Professional Experience

As a co-author of several research publications in high-impact journals, Di has contributed to studies examining the effects of artificial sweeteners, mental health disorders, and reproductive health in women.

🔍 Research Interests

Di’s research interests encompass reproductive health, infertility, and pregnancy outcomes, as well as the impact of mental health on fertility and thyroid function in assisted reproductive technologies. She also explores trends in postoperative complications and delirium.

📖  Top Noted Publications

Treatment outcomes of infertile women with endometrial hyperplasia undergoing their first IVF/ICSI cycle: A matched-pair study

  • Authors: Jing Yang, Mingmei Lin, Di Mao, Hongying Shan, Rong Li
    Journal: European Journal of Obstetrics & Gynecology and Reproductive Biology
    Year: 2024

Artificial Sweetener and the Risk of Adverse Pregnancy Outcomes: A Mendelian Randomization Study

  • Authors: Di Mao, Mingmei Lin, Zhonghong Zeng, Dan Mo, Kai-Lun Hu, Rong Li
    Journal: Nutrients
    Year: 2024

 Common mental disorders and risk of female infertility: a two-sample Mendelian randomization study

  • Authors: Di Mao, Mingmei Lin, Rong Li
    Journal: Frontiers in Endocrinology
    Year: 2024

 Impact of mildly evaluated thyroid-stimulating hormone levels on in vitro fertilization or intracytoplasmic sperm injection outcomes in women with the first fresh embryo transfer: a large study from China

  • Authors: Mingmei Lin, Di Mao, Kai-Lun Hu, Ping Zhou, Fen-Ting Liu, Jingwen Yin, Hua Zhang, Rong Li
    Journal: Journal of Assisted Reproduction and Genetics
    Year: 2024

Zhongzhong Hu, Data Analysis, Best Researcher Award 

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Mr. Zhongzhong Hu, Data Analysis, Best Researcher Award 

Mr. Zhongzhong Hu at Wenzhou Medical University, China

🔗Profile

Orcid Profile

🏃‍♂️ Academic Background

Hu Zhongzhong is a passionate and accomplished professional in the field of physical education and sports training. He has demonstrated excellence both academically and athletically, earning recognition for his research contributions and athletic achievements. As a dedicated educator and researcher, Hu focuses on advancing sports performance and strength training methodologies.

🎓 Education

Hu Zhongzhong completed his Bachelor of Physical Education at Beijing Sport University in 2018, where he ranked second in Zhejiang Province and published a paper in the CSSCI journal. He continued his studies at the same institution, earning a Master of Physical Education and Training in 2021. During his graduate studies, he published another paper in the CSSCI journal, cementing his reputation as a top-performing student.

🏅 Professional Experience

After graduating, Hu joined Wenzhou Medical University, where he played a pivotal role in physical education teaching and track and field team training. In addition to his teaching duties, he collaborates with the China Track and Field Academy of Beijing Sport University, focusing on sports performance analysis and strength training research for high-level athletes. His athletic prowess is highlighted by his victory in the men's 400m championship at the university sports meet, clocking an impressive 49.44 seconds.

🔍 Research Interests

Hu Zhongzhong's research interests lie in sports performance analysis and strength training. He is particularly interested in comparing various training methods to enhance athletic performance, with a focus on evidence-based practices. His work aims to bridge the gap between academic research and practical applications in sports training.

📖 Publication Top Noted

Acute effects of eccentric overload training with different loading doses in male sprinters
    • Authors: Y. Liu, J. Zhang, Z. Hu, et al.
    • Journal: Heliyon
    • Year: 2024
Comparing the Effect of Isoinertial Flywheel Training and Traditional Resistance Training on Maximal Strength and Muscle Power in Healthy People: A Systematic Review and Meta-Analysis
    • Authors: Z. Hu, Y. Liu, K. Huang, et al.
    • Journal: Life
    • Year: 2024
Research on the Influence of Bolt’s Technical Changes on His Performance of the 100-meter Dash—Taking the 2009 and 2017 World Athletics Championships as Examples
    • Authors: X. Yuan, Z. Hu, T. Yuan, et al.
    • Journal: Journal of Beijing Sport University
    • Year: 2021
Competitive Ability Characteristics and Winning Rules of Winter Olympic Glissading Events
    • Authors: X. Yuan, Z. Hu, L. Jing, et al.
    • Journal: Journal of Beijing Sport University
    • Year: 2019

Jaeyoung Cho | Data Management for Environment | Best Researcher Award

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Prof. Jaeyoung Cho | Data Management for Environment | Best Researcher Award

Professor at University of Wollongong in Dubai, United Arab Emirates

 Profile

Scopus profile
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Assistant Professor, Management Faculty, University of Wollongong in Dubai 🎓📈

👨‍⚕️ Academic Background:

Jaeyoung Cho is an accomplished scholar in strategic management and organizational theory, specializing in corporate governance, competitive dynamics, and firm performance. With a robust academic background and a record of significant research contributions, Dr. Cho combines theoretical insights with practical implications to address contemporary business challenges.

🎓 Education

  • Postdoctoral Fellow at Hong Kong University of Science and Technology, Hong Kong (2020-2021)
  • Ph.D. in Strategic Management and Organizational Theory from Kyungpook National University, Korea (2017-2020). Thesis: “Corporate Governance, Competitive Actions, and Firm Performance”
  • M.A. in Strategic Management and Organizational Theory from Kyungpook National University, Korea (2015-2017). Thesis: “SME Internationalization and Performance: The Role of Ownership Structure”
  • B.A. in Global Business Administration from University of Ulsan, Korea (2010-2015)
  • High School Diploma from Reddam House High School, Sydney, Australia (2007-2009)

💼 Professional Experience

  • Assistant Professor (Management) and Discipline Leader of Management at University of Wollongong in Dubai (2021-Present)
  • Researcher at Korean Ministry of Education’s Brain Korea 21 Plus (2015-2020)
  • Senior Researcher at the Research Institute of Creative and Cultural Industries, Korea (2015-2020)
  • Teaching and Research Assistant at School of Business Administration, Kyungpook National University (2015-2019)

🔬 Research Interests

Dr. Cho’s research explores competitive dynamics, corporate governance, and firm performance, particularly within the context of family firms and SMEs. His recent projects focus on leveraging generative AI, enhancing credit risk assessment through machine learning, and evaluating AI’s impact on ESG performance in the Middle East.

📖 Publication

A better start: board diversity matters in assessing stock price crash risk

    • Authors: K. Cho, J. Cho, Y. Bian
    • Journal: Corporate Governance
    • Volume: 23
    • Issue: 6
    • Pages: 123-138
    • Year: 2023

Leading digital business model transformation in the K-pop industry: the case of SM Entertainment

    • Authors: J. Cho, Y. Bian, J. Lee
    • Journal: Asia Pacific Business Review
    • Volume: 29
    • Issue: 1
    • Pages: 45-62
    • Year: 2023

Thriving in the global competitive landscape: competitive dynamics and longevity of emerging market firms

    • Author: J. Cho
    • Journal: Asian Business and Management
    • Volume: 22
    • Issue: 2
    • Pages: 197-214
    • Year: 2023

Data Management for Environmentally Sustainable and Profitable Business: Evidence from the Food Retail Industry

    • Authors: Judy Dibsi, J. Cho
    • Journal: Sustainability
    • Volume: 15
    • Issue: 23
    • Pages: 16298
    • Year: 2023

Speed of FDI expansions and the survival of Korean SMEs: the moderating role of ownership structure

    • Authors: J. Cho, J. Lee
    • Journal: Asian Business and Management
    • Volume: 16
    • Issue: 4
    • Pages: 335-354
    • Year: 2020

Internationalization and longevity of Korean SMEs: the moderating role of contingent factors

    • Authors: J. Cho, J. Lee
    • Journal: Asian Business and Management
    • Volume: 17
    • Issue: 1
    • Pages: 21-43
    • Year: 2018

Mitesh Mangaonkar – Innovation in Data Analysis – International Data Breakthrough Achievement Award 

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Mr. Mitesh Mangaonkar - Innovation in Data Analysis - International Data Breakthrough Achievement Award 

Airbnb - United States

Author Profile

Early Academic Pursuits

Mr. Mitesh M. Mangaonkar embarked on his academic journey with a strong foundation in technology and information systems. He earned his Bachelor of Engineering in Information Technology from the University of Mumbai in May 2012, graduating with an impressive GPA of 3.8. His undergraduate studies provided him with a robust understanding of computer science fundamentals, software engineering principles, and data management techniques. This academic foundation was instrumental in shaping his analytical skills and problem-solving capabilities.

Continuing his pursuit of higher education, Mitesh enrolled in the Master of Science program in Management Information Systems at Texas Tech University. Graduating in May 2014 with a GPA of 3.7, he honed his expertise in data management, business intelligence, and system analysis. His graduate studies equipped him with advanced knowledge in managing and interpreting large datasets, preparing him for a career in data engineering and analytics.

Professional Endeavors

Mr. Mitesh's professional career began at Amazon Web Services (AWS) in Seattle, WA, where he served as a Data Engineer from January 2015 to January 2018. During this tenure, he developed SQL queries for customer engagement analysis, collaborated on scalable data processing algorithms, and managed extensive data migrations. His work contributed significantly to enhancing customer experience and operational efficiencies.

In January 2018, Mitesh transitioned to WeWork in San Francisco, CA, as a Senior Data Engineer. Here, he designed next-generation data tools and frameworks, managed AWS applications, and led data discovery sessions with business teams. His role involved building RESTful APIs and orchestrating data workflows, which were pivotal in supporting WeWork’s global operations.

March 2019 saw Mitesh return to AWS, this time in Austin, TX, as a Lead Data Architect. Over the next two years, he designed and deployed enterprise-class applications, implemented automation processes, and collaborated with AWS teams to enhance customer and partner experiences. Notably, he developed a data migration framework that significantly reduced costs for a top-tier retail customer.

In January 2021, Mitesh joined Airbnb in Austin, TX, as a Tech Lead and Data Engineer. His responsibilities included developing large-scale data processing systems, building real-time data pipelines for fraud detection, and contributing to shared data engineering tools and standards. His efforts led to substantial fraud prevention and operational improvements at Airbnb.

Contributions and Research Focus

Throughout his career, Mitesh has focused on developing and optimizing data infrastructure, enhancing data processing systems, and implementing robust data analytics solutions. His research interests lie in big data frameworks, machine learning, and real-time data processing. At Airbnb, he designed and automated high-performance data processing systems, which played a crucial role in driving business growth and improving product experiences.

His contributions to the field include building real-time data pipelines that empowered Airbnb’s fraud detection mechanisms, preventing significant financial losses. At AWS, he was instrumental in creating a data migration framework that reduced data warehousing costs, showcasing his ability to deliver impactful solutions in data engineering.

Accolades and Recognition

Mr. Mitesh’s work has been recognized for its impact and excellence. His contributions to fraud detection at Airbnb led to the prevention of $1.2 million in fraud incidents within six months of implementing real-time pipelines. His innovative solutions in data migration at AWS earned him accolades for significantly reducing operational costs for major clients.

Impact and Influence

Mr. Mitesh’s influence extends beyond his immediate work environment. At AWS, he collaborated with sales, pre-sales, and support teams to educate partners and customers on using AWS services effectively. His efforts in conveying customer feedback to AWS engineering teams helped shape technology roadmaps, ensuring that AWS services met the evolving needs of its users.

At Airbnb, Mitesh evangelized high-quality software engineering practices, enhancing the productivity and output quality of data engineers across the company. His leadership in data infrastructure projects has set a benchmark for efficiency and effectiveness in data engineering practices.

Legacy and Future Contributions

Mr. Mitesh M. Mangaonkar’s legacy is marked by his commitment to advancing data engineering and analytics. His contributions have not only improved operational efficiencies and reduced costs but also enhanced the overall user experience for major technology companies. Looking ahead, Mitesh aims to continue driving innovation in data processing systems, leveraging emerging technologies in machine learning and big data frameworks to solve complex business challenges.

His future contributions are expected to focus on scaling data infrastructure, developing advanced analytics solutions, and mentoring the next generation of data engineers. By staying at the forefront of technological advancements, Mitesh is poised to make lasting impacts in the field of data engineering and beyond.

Notable Publication