Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

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Assoc. Prof. Dr. Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

Associate Professor, ALBAHA UNIVERSITY, Saudi Arabia

Saad Alqithami is an Associate Professor in the Department of Computer Science at Albaha University, Saudi Arabia. With a strong background in computer science, he completed his Ph.D. at Southern Illinois University, USA, in 2016. Alqithami has contributed significantly to the fields of social network analysis, AI, and healthcare technology, particularly in the context of Attention Deficit Hyperactivity Disorder (ADHD). His work also extends to network organizations and pandemic modeling. In addition to his teaching role, he has held leadership positions in various administrative capacities at Albaha University, including General Director of Scholarships and University Relations. Alqithami is also a reviewer and program committee member for several academic conferences, contributing to the academic community’s growth. His interdisciplinary approach and commitment to impactful research make him a notable figure in AI and computational science.

Profile

Education

Saad Alqithami holds a Ph.D. in Computer Science from Southern Illinois University, Carbondale, USA, which he completed in December 2016. Prior to that, he earned his Master’s degree in Computer Science from the same institution in August 2012. His foundational education began with a Bachelor’s degree in Computer Science from Taif University, Saudi Arabia, in July 2008. Throughout his academic journey, Alqithami focused on advanced computational intelligence, AI modeling, and networked systems. His doctoral research focused on network organizations and the use of computational models for complex systems. With a deep interest in both theoretical and applied computer science, Alqithami has consistently pursued research that bridges gaps between AI, healthcare, and social systems. His education has provided a robust foundation for his distinguished career in academia and research.

Experience

Dr. Saad Alqithami has over a decade of experience in academia, beginning as a Lecturer in 2015 at Albaha University in Saudi Arabia. He has progressed through various roles, becoming an Assistant Professor in 2017 and later an Associate Professor in 2022. Alqithami has also held significant leadership positions, including Head of the Department of Computer Information Systems and General Director of Scholarships and University Relations at Albaha University. His administrative expertise spans graduate studies, scientific research, and university relations. He has contributed to enhancing the university’s strategic initiatives, especially in research and development. Furthermore, Alqithami has actively engaged in international collaborations, providing expertise in social networks, machine learning, and computational intelligence. He has worked as a Social Networks Analyst and Programmer at Southern Illinois University, where he gained hands-on experience in social network modeling and data analysis, helping shape his interdisciplinary research approach.

Awards and Honors

Dr. Saad Alqithami’s academic journey has been marked by numerous accolades. He was nominated for an outstanding paper award at the 29th AAAI Conference on Artificial Intelligence. As a co-founder, he played a key role in the launch of the “Square-2: The Intelligent Consultant Agent” project, funded by King Abdulaziz City for Science and Technology (KACST). Alqithami also received research funding from Albaha University for two major projects: “Understanding Social Contagion and Viral Spreading of COVID-19” and “An Intelligent Cognitive Modeling for Enhancing the Behavior of Children with ADHD Using a Mixed Reality Environment.” Additionally, he has been honored as a Rosalind Member by the London Journals Press. His work has not only advanced computational intelligence but has also contributed significantly to social good, especially in healthcare and public health contexts, earning him recognition from both academic and scientific communities.

Research Focus

Dr. Saad Alqithami’s research primarily focuses on the application of artificial intelligence, machine learning, and computational models to real-world problems. His work spans several areas, including social network analysis, healthcare technology, and the development of innovative solutions for behavioral health issues like ADHD. Alqithami has contributed to the design of augmented reality environments for therapeutic interventions and has modeled pandemic dynamics in social networks using AI techniques. His interdisciplinary research is aimed at bridging the gap between AI-driven insights and practical applications, particularly in healthcare and networked systems. He is also keen on exploring the implications of social capital in network organizations and improving communication protocols in industrial systems. Alqithami’s work has led to significant publications in peer-reviewed journals and conferences, showcasing his contributions to advancing AI research, particularly its integration into healthcare and societal applications.

Publication Top Notes

  1. Smart Tree Health Assessment Model using Advanced Computer Vision Techniques 🌳📊
  2. A Serious-Gamification Blueprint Towards a Normalized Attention 🧠🎮
  3. Securing Industrial Communication with Software-Defined Networking 🔐🖧
  4. A Generic Encapsulation to Unravel Social Spreading of a Pandemic 🌍💉
  5. Towards Social Capital in a Network Organization 🌐💡
  6. An External Client-Based Approach for Extract Class Refactoring 🔄📚
  7. AR-Therapist: Design and Simulation of an AR-Game for ADHD Patients 🕹️👦
  8. Fluid Dynamics of a Pandemic in a Spatial Social Network 🌍💻
  9. Modeling an AR Serious Game to Increase Attention of ADHD Patients 🎮🧑‍⚕️
  10. Modeling an Augmented Reality Game to Enhance ADHD Behavior 🧠👾

 

 

Tuhin Subhra De | Artificial Intelligence Awards | Young Scientist Award

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Mr Tuhin Subhra De | Artificial Intelligence Awards | Young Scientist Award

Mr Tuhin Subhra De, Indian Institute of Technology Kharagpur, India

Tuhin Subhra De is a dual-degree student at the Indian Institute of Technology Kharagpur, specializing in Civil and Environmental Engineering with minors in Mathematics and Computing, and Artificial Intelligence Applications. With a CGPA of 8.7/10.0, Tuhin has demonstrated his prowess in both academics and research. He has gained significant experience as a Deep Learning Research Intern at IIT KGP’s Center for Excellence in AI, where he worked on improving text generation quality using advanced models. Tuhin has also completed internships in Data Science and Machine Learning at prominent organizations like Udaan.com and Deakin University, focusing on predictive modeling and knowledge distillation. His research work has led to multiple publications in esteemed journals and conferences. Outside academics, Tuhin is active in mentoring and social work, contributing to the welfare of underprivileged communities and participating in various sports events.

Publication Profile

Google scholar

Strengths for the Award

  • Academic Excellence: Tuhin Subhra De has demonstrated strong academic performance with a CGPA of 8.7/10.0 from a prestigious institution like IIT Kharagpur, where he completed a dual degree in Civil and Environmental Engineering with minors in Mathematics, Computing, and AI.
  • Research Experience: He has extensive research experience, notably working as a Deep Learning Research Intern at the Center for Excellence in AI, IIT KGP. His work includes complex topics like Hierarchical Variational Autoencoders and diffusion-based models, showcasing his deep understanding and innovation in AI and machine learning.
  • Publications: Tuhin has multiple publications, including articles in respected journals and conferences. These publications reflect his ability to contribute valuable research to the field of AI and machine learning, which aligns well with the award’s focus on young researchers.
  • Technical Skills: His proficiency in various programming languages, tools, and libraries, combined with his experience in implementing complex models, indicates his strong technical foundation, crucial for cutting-edge research.

Areas for Improvement

  • Broader Impact: While Tuhin’s research is technically strong, he could focus on expanding the practical applications and societal impact of his work. Demonstrating how his research can solve real-world problems or benefit specific industries could strengthen his candidacy.
  • Leadership and Collaboration: Although Tuhin has mentored students and participated in team projects, further leadership roles or collaborative research endeavors could enhance his profile. Engaging in interdisciplinary projects or leading a research team could be beneficial.
  • Diversity of Experience: Tuhin’s experience is heavily concentrated in AI and machine learning. Diversifying his research portfolio by exploring related fields or integrating his AI expertise into other disciplines might provide a more well-rounded profile.

Education 

Tuhin Subhra De is currently pursuing a dual degree (B.Tech. and M.Tech.) in Civil and Environmental Engineering from the prestigious Indian Institute of Technology Kharagpur (IIT KGP), where he has maintained an impressive CGPA of 8.7/10.0. His academic journey at IIT KGP includes minors in Mathematics and Computing, and Artificial Intelligence Applications, reflecting his diverse interests and technical proficiency. Tuhin’s coursework encompasses a wide array of subjects, including Artificial Intelligence, Machine Learning, Deep Learning, Big Data Processing, and Secure AI/ML, providing him with a solid foundation in cutting-edge technologies. His strong background in Statistics, Probability, Linear Algebra, and Time Series Modeling further complements his technical expertise. Tuhin’s educational achievements are underscored by his active participation in prestigious competitive exams and Olympiads, where he ranked among the top percentile. His education at IIT KGP has equipped him with the skills and knowledge to excel in both academic and professional pursuits.

Experience  

Tuhin Subhra De has accumulated a wealth of experience through various internships and research roles. At the Center for Excellence in AI at IIT KGP, he is currently a Deep Learning Research Intern, focusing on improving text generation quality using diffusion and energy-based models. During his internship at Udaan.com, Tuhin successfully increased the customer order conversion rate by implementing predictive buying methods and advanced machine learning techniques, which led to a significant improvement in business outcomes. His role as a Machine Learning Research Intern at Deakin University involved applying knowledge distillation to enhance the performance of heterogeneous ML models, demonstrating his ability to innovate in complex environments. Tuhin’s early experiences also include an internship at the Indian Institute of Management Mumbai, where he developed methods to optimize profit in cargo acceptance, combining operations research with machine learning. His hands-on experience across various domains underscores his versatility and technical acumen.

Research Focus  

Tuhin Subhra De’s research focus lies at the intersection of artificial intelligence, machine learning, and data science, with a particular emphasis on deep learning models and their applications. His current research at the Center for Excellence in AI, IIT KGP, involves enhancing the quality of text generation using advanced models like Hierarchical Variational Autoencoders, diffusion models, and energy-based frameworks. Tuhin is also exploring the contrast in learning processes between different AI models, aiming to address challenges such as decoder collapse in generative tasks. His past research at Deakin University centered on knowledge distillation, where he worked on improving the accuracy of machine learning models by transferring knowledge between heterogeneous networks. Additionally, Tuhin’s work at Udaan.com involved developing predictive models that significantly boosted customer order conversion rates. His research is driven by a passion for solving real-world problems through innovative AI and ML techniques, making significant contributions to the field.

Publication Top Notes

A non-linear Lasso and explainable LSTM approach for estimating tail risk interconnectedness

A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce

Prediction of Turn Around Time using Neural Networks – A Case Study of Shipping Port 

Conclusion

Tuhin Subhra De is a strong candidate for the Research for Young Scientist Award, given his academic excellence, significant research contributions, and technical expertise. To further enhance his application, he could focus on demonstrating the broader impact of his research, seeking leadership opportunities, and diversifying his experience. Overall, his profile is highly competitive for the award, reflecting his potential as a promising young scientist in the field of AI and machine learning.