Born and raised in New Delhi, India, Gautam has always had a passion for innovation and solving real-world optimization problems. He possesses a strong love for learning, continuously seeking knowledge and self-improvement. His entrepreneurial mindset and creativity drive him to seek unconventional solutions to problems.
Gautam is an accomplished student, having earned a Bachelor's degree in Computer Science with the highest GPA in his class and completed a Master's degree in Computer Applications. His thesis work on optimizing artificial neural network training using metaheuristics has been published, highlighting his exceptional research abilities. Gautam has made remarkable contributions to the fields of machine learning, optimization, and data science, with a portfolio of publications in prestigious and high-impact venues. His research has been featured in SCI-indexed journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering and Springer journals like Sadhana and Soft Computing. His work is also recognized in the Journal of Supercomputing and Multimedia Tools and Applications (Springer). Additionally, Gautam's research has been published in ESCI-indexed journals including Discover Sustainability and the International Journal of Networked and Distributed Computing (Springer). He has contributed to multiple book chapters published by leading publishers such as CRC Press and Springer. Furthermore, his innovative approaches have been presented at top-tier peer-reviewed conferences, including EUSIPCO (IEEE), Interspeech (ACM), and NAACL (ACM).
In addition to his academic achievements, Gautam has gained valuable experience through various internships and freelance work. He has worked as a computer programmer, web developer, and research assistant in different organizations, showcasing his diverse skill set and adaptability. He is also proud to have been recognized for his achievements in various fields, including academics, sports, and art. He has received certificates of participation in international and national-level competitions, such as the International Equanimity Olympiad, the Smart Kid General Knowledge Olympiad, and a Painting Competition. Additionally, he has earned a Bronze Medal for Academics and a Silver Medal for Sports during his school years.
His research interests lie in the application of metaheuristic approaches such as Particle Swarm Optimization (PSO) to real-world optimization problems. Additionally, he is passionate about utilizing AI and ML in fields such as agriculture, healthcare, and medical-related domains. He is also interested in exploring the concept of explainable AI and usable security.
If you would like to connect with me or learn more about my work, please feel free to reach out via email or LinkedIn.
