Bhushan Chaudhari | Computer Science and Artificial Intelligence | Best Industrial Research Award

Mr. Bhushan Chaudhari | Computer Science and Artificial Intelligence | Best Industrial Research Award

Technology Lead, Iris Software Inc, United States

Dr. Bhushan P. Chaudhari is a Senior Principal Scientist at CSIR-National Chemical Laboratory (NCL), Pune, India. With a Ph.D. from Marathwada Agricultural University, he has over two decades of experience in nanotechnology and nanomedicine. His research focuses on developing next-generation targeted drug delivery systems, nanobiosensors, and sustainable agricultural solutions. Dr. Chaudhari has supervised numerous Ph.D. students and has been instrumental in advancing the field of nanopharmacology.

Profile

Google Scholar

Education

Dr. Chaudhari completed his Bachelor of Engineering in Computer Science from North Maharashtra University, India. He later pursued a Ph.D. in Biological Sciences from CSIR-NCL, Pune, under the guidance of Dr. Bhushan P. Chaudhari. His doctoral research focused on the structure-function characterization of the tail-anchored protein translocation pathway in plants, contributing significantly to the understanding of protein transport mechanisms in plant cells.

Experience

Dr. Chaudhari’s professional journey includes roles at various organizations:

  • CSIR-NCL, Pune: As a Senior Principal Scientist, he leads research in nanopharmacology, focusing on targeted drug delivery systems and nanobiosensors. IJBio+6Google Sites+6NCL IRINS+6

  • Tech Mahindra Ltd.: He worked as a Member of Technical Staff, contributing to projects like EDD-ISA, where he developed solutions for enterprise document delivery systems.

  • Perennial System: As a Team Lead, he managed offshore teams and developed dynamic web applications for clients in the insurance sector.

  • BioAnalytical: In this role, he enhanced backend and UI components for web-based applications in the healthcare domain.

Research Focus

Dr. Chaudhari’s research is centered on nanotechnology applications in medicine and agriculture. His work includes the development of functionalized nanoparticles for disease detection, biosynthesis of nanoparticles using fungi, and the creation of stimuli-responsive drug delivery systems. He has also explored the use of nanomaterials in combating plant viral diseases and enhancing agricultural sustainability.

Publications

  1. Functionalized gold nanorods (GNRs) as a label for the detection of thyroid-stimulating hormone (TSH) through lateral flow assay (LFA)
    Emergent Materials, 2024
    This study presents the use of GNRs in lateral flow assays for the sensitive detection of TSH, aiding in thyroid function diagnostics.

  2. Chitosan nanoparticles for single and combinatorial delivery of 5-fluorouracil and ursolic acid for hepatocellular carcinoma
    Emergent Materials, 2024
    The research explores chitosan-based nanoparticles for co-delivery of chemotherapeutic agents, enhancing therapeutic efficacy against liver cancer.

  3. Understanding Critical Aspects of Liposomal Synthesis for Designing the Next Generation Targeted Drug Delivery Vehicle
    Chemistry Select, 2023
    This article delves into liposomal synthesis techniques, providing insights for developing advanced drug delivery systems.

  4. Robust Optimization and Characterization of MCM-41 Nanoparticle Synthesis using Modified Sol-Gel Method
    Chemistry Select, 2023
    The paper discusses the optimization of MCM-41 nanoparticle synthesis, focusing on structural and functional properties for various applications.

  5. Nanoparticles for the Delivery of Antiviral Phytotherapeutics
    Advances in Phytonanotechnology for Treatment of Various Diseases, CRC Press, 2023
    This book chapter examines the role of nanoparticles in enhancing the delivery of plant-based antiviral agents, offering new therapeutic avenues.

Conclusion

Bhushan B. Chaudhari is a strong candidate for the Best Industrial Researcher Award, particularly in the applied software engineering and AI-driven enterprise architecture domains. His ability to integrate modern research into scalable, real-time financial and telecom applications is both impressive and impactful. His work demonstrates a clear bridge between industrial challenges and technological innovation, with AI, microservices, and cloud-native design at its core. With more academic collaboration and broader community engagement, he could emerge as a leading figure not just in implementation, but also in shaping future software engineering practices.

Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

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 🧠👾