Anmol Aggarwal | Computer Science | Best Researcher Award | 13432

Mr. Anmol Aggarwal | Computer Science | Best Researcher Award | 13432

Mr. Anmol Aggarwal, Intuit, United States

Anmol Aggarwal is a seasoned product leader and computer science professional with a strong foundation in AI, pricing strategy, and marketplace dynamics. He has delivered high-impact results at companies like Uber and Intuit, while also founding and scaling startups in cloud migration and recruitment tech. Anmol holds an MBA from UC Berkeley Haas and an MS in Computer Science from UC San Diego. His research in neural networks and genetic algorithms has earned him multiple publications and the Best Researcher Award in Computer Science.

Profile

Google Scholar

🎓 Early Academic Pursuits

Anmol Aggarwal’s journey into the world of technology and innovation began with a deep-rooted passion for computer science. He earned his Bachelor of Engineering in Computer Science from Guru Gobind Singh Indraprastha University, where his curiosity for solving complex computational problems flourished. His early academic years were marked by an intensive focus on algorithm design, artificial intelligence, and neural networks, leading to multiple publications in international journals and conferences — a rare achievement at the undergraduate level. He further pursued a Master of Science in Computer Science from the University of California, San Diego, where he honed his expertise in machine learning, distributed systems, and large-scale software engineering. Building on this foundation, Anmol enrolled in the MBA program at UC Berkeley’s Haas School of Business, combining his technical acumen with sharp business instincts. There, he was recognized for his curiosity and commitment to learning, earning the prestigious “Student Always” Award, a distinction given to only one student in the entire cohort.

đź’Ľ Professional Endeavors

Anmol’s professional journey is a blend of deep engineering proficiency and strategic product leadership. Starting his career as a Business Technology Associate at ZS Associates, he quickly moved into more technical roles, including Software Engineer at Adobe where he contributed to enterprise-grade tools.

His most transformative phase came with his tenure at Uber, where he progressed from software engineer to Product Manager and led global initiatives impacting millions of users. His work in Courier Pricing, Eater Pricing, and Marketplace Optimization delivered tangible results — from improving courier retention by 7% to generating a surplus of $200M for reinvestment.

đź§  Contributions and Research Focus

Anmol’s passion for research began early, as demonstrated by seven publications during his undergraduate years. His papers span across diverse applications of neural networks, genetic algorithms, and fuzzy logic, solving real-world problems such as the Traveling Salesman Problem, protein structure prediction, and emotion recognition from speech. His work often explored the intersection of bio-inspired computing and machine learning, a forward-thinking approach that earned him the “Best Researcher Award” in Computer Science. Through these contributions, Anmol helped advance early academic thinking on parallel genetic algorithms and adaptive optimization methods.

🏆 Accolades and Recognition

Anmol’s career is dotted with honors that reflect both his intellectual rigor and leadership qualities:

  • Best Researcher Award – Computer Science

  • “Student Always” Award – UC Berkeley Haas

  • Winner of 6 National and International Case Competitions

  • Leadership roles at Uber and Toastmasters, including Chair of the Rider Pricing Social Committee, managing a $40K annual budget.

His ability to lead teams — whether it’s engineers, business stakeholders, or global executives — has made him a highly regarded figure in both corporate and startup ecosystems.

🌍 Impact and Influence

Anmol’s influence extends beyond large tech companies. He has actively contributed to early-stage startups, such as:

  • Jobshine: Revived a blue-collar job marketplace, led the rebuild with a 6-person engineering team, and boosted revenue by 400%.

  • Hoistr.ai: Co-founded a cloud migration tooling startup, secured partnerships with GCP leaders, and drove early design and fundraising efforts.

Through these ventures, Anmol has played a critical role in identifying market gaps, achieving product-market fit, and accelerating revenue growth in nascent businesses. His mentorship, leadership, and analytical approach continue to influence product managers, engineers, and entrepreneurs alike.

🚀 Legacy and Future Contributions

Looking ahead, Anmol Aggarwal is poised to become a thought leader in AI-powered product management. With his rare combination of technical depth, business insight, and a global mindset, he is well-positioned to drive innovation across fintech, edtech, and marketplaces. His future goals likely include contributing to the broader tech-for-good movement, mentoring aspiring technologists, and continuing to publish insights at the intersection of artificial intelligence, ethics, and human-centered design. Whether scaling startups, innovating within tech giants, or contributing to the next wave of academic research, Anmol’s legacy will be defined by impact at scale, deep intellectual curiosity, and a commitment to uplifting others along the way.

Publication Top Notes

A novel method for medical disease diagnosis using artificial neural networks based on backpropagation algorithm

Author: JS Bhalla, A Aggarwal

Journal:  The Next Generation Information Technology Summit

Year: 2013

Using Adaboost Algorithm along with Artificial neural networks for efficient human emotion recognition from speech

Author: A Aggarwal, JS Bhalla

Journal: International Conference on Control, Automation, Robotics and Embedded

Year: 2013

Prediction of Protein Structure using Parallel Genetic Algorithm

Author: JS Bhalla, A Aggarwal

Journal: International Journal of Computer Applications

Year: 2013

Pingqing Fan | Precision actuating | Best Researcher Award

Prof Dr. Pingqing Fan | Precision actuating | Best Researcher Award

Prof Dr. Pingqing Fan, Shanghai University of Engineering Science, China

“Prof. Dr. Pingqing Fan is a renowned expert in the field of materials science and engineering. Currently serving as a professor at Shanghai University of Engineering Science, China, Dr. Fan has made significant contributions to the development of advanced materials and technologies. His research focuses on the design, synthesis, and characterization of functional materials, with applications in energy storage, conversion, and environmental sustainability.”

Profile

Orcid

Educational Qualification📚

Pingqing Fan’s academic journey is marked by her dedication to excellence and a focus on engineering innovation. She earned her Ph.D. from Shanghai University, where she cultivated her expertise in mechanical and automotive engineering. Her early studies laid a solid foundation in piezoelectric drive theory and bionic robotics, areas that have become central to her career.

Pingqing’s passion for research blossomed during her doctoral studies, where she began to explore the complexities of precision actuating and bionic systems. Her academic foundation has not only driven her own research but also inspired her teaching, making her a respected figure in academia.

Professional Endeavors đź’Ľ

Currently a professor and research supervisor at the School of Mechanical and Automotive Engineering at Shanghai University of Engineering Science, Pingqing Fan has dedicated her career to both teaching and groundbreaking research. She is also actively involved in consultancy projects and collaborations with industrial giants like the Western Institute of Computing Technology and CATARC Automotive Test Center.

Her professional roles extend beyond academia to influential positions in professional societies. As a senior member of the China Society of Automotive Engineers and a committee member of its Off-Road Vehicle Technology Branch, she contributes to shaping the future of automotive engineering in China.

Contributions and Research Focus 🔬

Key Research Areas:

  • Piezoelectric Drive Theory: Pingqing has advanced the understanding of high-energy density piezoelectric actuators, paving the way for innovations in precision motion systems.
  • Bionic Robotics: Her research in biomimicry has led to the development of robotics inspired by natural forms, blending engineering precision with biological ingenuity.
  • Precision Actuating Systems: Her work in precision actuators ensures enhanced performance in various industrial applications.

Major Contributions:

Pingqing Fan has spearheaded over 16 consultancy and industry projects, emphasizing the practical application of her research. Her innovative platform for developing electronic water pump controllers for vehicles highlights her commitment to sustainable and efficient automotive solutions.

With 21 published journal articles in esteemed platforms like SCI and Scopus, her work has received widespread recognition, with 465 citations showcasing its impact on the global academic community. Furthermore, she has filed 12 patents, reflecting her ability to translate theoretical knowledge into practical inventions.

Accolades and Recognition 🏆

Pingqing’s achievements have earned her a distinguished reputation in both academia and industry. Her leadership in projects funded by the Shanghai Natural Science Foundation and the Shanghai Automobile Industry Development Fund underscores the value of her contributions.

Her book, identified by ISBN 9787302356035, serves as a vital resource for students and professionals, further cementing her status as a thought leader. As an Academic Bridge Evaluation Expert, she has shaped evaluation criteria that influence academic and industrial practices.

Publication Top Notes đź“„

Contributors: Jiateng Shi; Pingqing Fan; Jie Liu
Journal: Ultrasonics
Year: 2025

Research on robot path planning by integrating state-based decision-making A* algorithm and inertial dynamic window approach

Contributors: Shun Xing; Pingqing Fan; Xipei Ma; Yansong Wang
Journal: Intelligent Service Robotics
Year: 2024

A novel high energy density single-phase linear piezoelectric motor: design and experiment

Contributors:  佳腾 石; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Ferroelectrics
Year: 2024
Contributors: WeiPeng Bi; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Review of Scientific Instruments
Year: 2023
Contributors: Yangyang Ge; Xipei Ma; Pingqing Fan; Hu; Tao Yuan; Yansong Wang
Journal: Review of Scientific Instruments
Year: 2023