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.

Umar Islam | Computer Science | Best Researcher Award

Mr. Umar Islam | Computer Science | Best Researcher Award

Senior Lecturer, IQRA National University Swat Campus, Pakistan

Mr. Umar Islam is a passionate and accomplished educator and researcher in the field of Computer Science, currently serving as a Lecturer at Iqra National University (INU) Swat Campus, Pakistan. With an impressive academic background spanning 18 years in Computer Science, Mr. Islam has become a recognized expert in AI, machine learning, blockchain security, IoT, bioinformatics, and financial analytics. His work has been published in over 15 research articles, including several in top-tier journals. A dedicated researcher, he focuses on real-time AI solutions, particularly in healthcare and cybersecurity. Mr. Islam is also a committed mentor, providing supervision and guidance to students in advanced topics such as Python programming, machine learning, and AI applications. His contributions to the academic community and his research endeavors demonstrate his commitment to pushing the boundaries of knowledge and solving real-world problems.

Profile

Education

Mr. Umar Islam has an extensive academic journey, earning 18 years of education in Computer Science. His academic path began with a Bachelor’s degree in Computer Science, followed by a Masterโ€™s degree, where he built the foundation of his knowledge in various aspects of computing. Mr. Islamโ€™s thirst for knowledge and his passion for research led him to pursue advanced studies in areas like AI, machine learning, IoT, and cybersecurity, with a strong focus on applying these technologies to solve real-world challenges. His educational journey has equipped him with the skills to lead cutting-edge research projects and to innovate in fields like bioinformatics and financial analytics. Currently, he is working toward a PhD, which will further deepen his understanding and expertise in these areas. Through his education, Mr. Islam has gained a comprehensive understanding of theoretical and applied Computer Science, which he integrates into both his teaching and research.

Experience

With six years of teaching experience at the higher education level, Mr. Umar Islam has played a pivotal role in shaping the future of numerous students at Iqra National University (INU) Swat Campus. As a lecturer, he has delivered comprehensive lessons in Computer Science topics such as AI, machine learning, and cybersecurity. His commitment to academic excellence is reflected in his success as a supervisor, guiding students through complex topics like Python programming, e-learning analytics, and AI-driven applications. In addition to teaching, Mr. Islam has gained four years of extensive research experience, with a focus on AI applications in healthcare, cybersecurity, and blockchain security. He has led multiple research projects, producing groundbreaking results, and has contributed significantly to the academic community with over 15 published research articles. His academic experience extends beyond teaching, positioning him as a thought leader in his field.

Research Focus

Mr. Umar Islam’s research is deeply focused on the intersection of artificial intelligence (AI), cybersecurity, healthcare, and financial analytics. One of his key research areas includes AI-driven solutions in healthcare, particularly the development of federated learning-based intrusion detection systems and epileptic seizure prediction models. He is also actively exploring AI in cybersecurity, specifically in blockchain security, to mitigate data tampering risks. His work in financial analytics uses AI and machine learning to predict market trends, including cryptocurrency values, demonstrating his interdisciplinary approach to solving real-world problems. In addition to these topics, Mr. Islam is involved in pioneering research in IoT security and bioinformatics. His research aims to address key global challenges such as healthcare delivery, data security, and economic stability through cutting-edge AI applications. His innovative contributions to various fields have resulted in multiple published articles in prestigious journals, demonstrating the far-reaching impact of his work.

Publication Top Notes

  • Detection of distributed denial of service (DDoS) attacks in IoT-based monitoring system of banking sector using machine learning models ๐ŸŒ๐Ÿ”๐Ÿ“Š
  • IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms ๐Ÿค–๐Ÿ“ฑ๐Ÿ’ก
  • Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications โ˜๏ธ๐Ÿ’ป๐Ÿ›ก๏ธ
  • Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks ๐Ÿฅ๐Ÿง ๐Ÿ“ธ
  • A novel anomaly detection system on the internet of railways using extended neural networks ๐Ÿš†๐Ÿ”โš™๏ธ
  • NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics ๐Ÿง ๐Ÿ’“๐Ÿ“ˆ
  • An intelligent approach for preserving the privacy and security of a smart home based on IoT using LogitBoost techniques ๐Ÿ ๐Ÿ”๐Ÿ’ก
  • Enhancing Economic Stability with Innovative Crude Oil Price Prediction and Policy Uncertainty Mitigation in USD Energy Stock Markets ๐Ÿ’ฐ๐Ÿ“Š๐Ÿ“‰
  • Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data ๐Ÿ’พ๐Ÿ”Ž๐Ÿ‘จโ€๐Ÿ’ป
  • Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model โ›“๏ธ๐Ÿ’น๐Ÿ”ฎ