Anmol Aggarwal | Computer Science | Best Researcher Award | 13432

Published on by Research Awards

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.

🧠 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

Vilas Gaikwad | Computer Science | Best Researcher Award

Published on by Research Awards

Dr. Vilas Gaikwad | Computer Science | Best Researcher Award

Head of department at Trinity College of Engineering and Research Pune, India.

Dr. Vilas Shivaji Gaikwad is a distinguished academic and researcher with a robust background in Computer Science and Engineering. He earned his PhD from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), specializing in image processing, data mining, embedded systems, and IoT. With over a decade of experience in academia, Dr. Gaikwad currently serves as an Assistant Professor and PG Coordinator at JSPM Narhe Technical Campus in Pune. His professional journey includes roles at Sanjeevan Engineering and Technology Institute and Walchand College of Engineering, where he contributed significantly to research and education. Dr. Gaikwad’s research focuses on histopathological image analysis for breast lesion classification, supported by projects funded by various institutions. He has published extensively, including 47 papers in international journals and multiple books on embedded systems and IoT. His work has earned him numerous awards, including appreciation for his teaching excellence and certifications from IBM and Cambridge. Dr. Gaikwad’s contributions to the academic and research communities highlight his dedication to advancing technology and education.

Professional Profiles:

Education

Dr. Vilas Shivaji Gaikwad holds a Ph.D. in Computer Science & Engineering from Dr. BAM University, Aurangabad, completed in May 2021. His dissertation focused on developing a novel approach for classifying intraductal breast lesions using histopathological image analysis. He earned his M.Tech in Computer Science & Engineering from Walchand College of Engineering, Sangli, under Shivaji University in August 2012, where he graduated with first-class honors. Additionally, he completed his B.E. in Computer Science & Engineering at TPCT COE, Osmanabad, affiliated with Dr. BAM University, in August 2010, achieving distinction in his studies.

Professional Experience

Dr. Vilas Shivaji Gaikwad has accumulated extensive professional experience over his career. Since June 2014, he has served as an Assistant Professor and PG Coordinator of Computer Engineering at JSPM Narhe Technical Campus in Pune, where he has contributed for nearly seven years. Prior to this, he worked as an Assistant Professor at Sanjeevan Engineering and Technology Institute, Panhala, Kolhapur, from July 2012 to June 2014, and as a Research Assistant at Walchand College of Engineering, Sangli, from August 2010 to July 2012. His academic contributions are further enriched by his recognition as a PG teacher from Savitribai Phule Pune University and permanent UG approval. Overall, Dr. Gaikwad has more than ten years of experience in the field of Computer Science & Engineering.

Research Interest

Dr. Vilas Shivaji Gaikwad’s research interests encompass a diverse array of cutting-edge topics within the field of Computer Science and Engineering. He is particularly focused on Image Processing, exploring techniques to enhance and interpret visual data through computational means. His work in Data Mining delves into extracting valuable insights from vast datasets, contributing to advancements in predictive analytics and decision-making processes. Additionally, Dr. Gaikwad is deeply involved in Embedded Systems and the Internet of Things (IoT), investigating innovative solutions for integrating hardware and software to create intelligent, interconnected devices. His Ph.D. research, titled “A Novel Approach of Classification for Intraductal Breast Lesions using Histopathological Image Analysis,” underscores his commitment to applying computational techniques to critical real-world problems, highlighting the interdisciplinary nature of his work and its potential impact on healthcare.

Award and Honors

Dr. Vilas Shivaji Gaikwad has received numerous awards and honors throughout his academic and professional career. He qualified for the GATE 2010 exam, showcasing his strong foundation in engineering principles. He is IBM RFT Certified and holds a Cambridge Certification as a Linux Associate, affirming his technical expertise. Dr. Gaikwad has been recognized multiple times for his excellence in teaching, earning accolades such as “Best Teacher” and receiving appreciation for achieving 100% results in his courses. His scholarly contributions have garnered significant attention, with his publications amassing over 19,000 reads on ResearchGate, a testament to his influence and impact in the research community. These recognitions underscore Dr. Gaikwad’s dedication to advancing knowledge, fostering academic excellence, and his significant contributions to the field of Computer Science and Engineering.

Research Skills

Dr. Vilas Shivaji Gaikwad possesses a robust set of research skills, developed through extensive academic and professional experiences. His expertise spans Image Processing, Data Mining, Embedded Systems, and IoT, enabling him to design advanced systems integrating hardware and software. His proficiency in Histopathological Image Analysis is evidenced by his Ph.D. research on classifying intraductal breast lesions, crucial for improving diagnostic tools and medical imaging techniques. Dr. Gaikwad’s work in wireless sensor networks demonstrates his capability in real-time data analysis and system design, particularly in predictive systems for natural disaster management. His skills in Research Project Management and Grant Writing are proven by his successful project funding and consultancy work. These abilities highlight his competence in leading innovative research initiatives and securing necessary resources, making significant contributions to the fields of computer science and engineering.

Publications

  • Title: Characterization of behavioral and endocrine effects of LSD on zebrafish Authors: L. Grossman, E. Utterback, A. Stewart, S. Gaikwad, K.M. Chung, C. Suciu, … Journal: Behavioural Brain Research Year: 2010 Citations: 291
  • Title: Steganography techniques: A review Authors: M.P.R. Kamble, M.P.S. Waghamode, M.V.S. Gaikwad, M.G.B. Hogade Journal: International Journal of Engineering Year: 2013 Citations: 18
  • Title: Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis Authors: Y.H. Bhosale, S.R. Zanwar, A.T. Jadhav, Z. Ahmed, V.S. Gaikwad, K.S. Gandle Conference: 2022 13th International Conference on Computing Communication and Networking Year: 2022 Citations: 12
  • Title: Molecular imaging to the surgeons rescue: Gallium-68 DOTA-exendin-4 positron emission tomography-computed tomography in pre-operative localization of insulinomas Authors: U.N. Pallavi, V. Malasani, I. Sen, P. Thakral, S. Dureja, V. Pant, V.S. Gaikwad, … Journal: Indian Journal of Nuclear Medicine Year: 2019 Citations: 10
  • Title: Enhanced whale optimization algorithm for the eye movement recognition Authors: V.S. Gaikwad Journal: Journal of Computational Mechanics, Power Systems and Control Year: 2021 Citations: 6
  • Title: One versus all classification in network intrusion detection using decision tree Authors: V. Gaikwad, P.J. Kulkarni Journal: International Journal of Scientific Research Publications Year: 2012 Citations: 6
  • Title: Novel approach for data stream clustering through micro-clusters shared Density Authors: P.V. Desai, V.S. Gaikawad Journal: International Journal of Computer Sciences and Engineering Year: 2019 (assumed for consolidation) Citations: 2
  • Title: Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis Authors: V.S. Gaikwad, S.S. Deore, G.M. Poddar, R.V. Patil, D.S. Hirolikar, M.P. Borawake, … Journal: International Journal of Intelligent Systems and Applications in Engineering Year: 2024 Citations: 1
  • Title: Review of the state-of-the-art methods for privacy preserved classification in outsourced environment Authors: V.S. Gaikwad, K.H. Walse, V.M. Thakare Conference: 2020 International Conference on Innovative Trends in Information Technology Year: 2020 Citations: 1
  • Title: A Survey on Social Circle Influenced Personalized Recommendation System Authors: V.J. Kadam, V.S. Gaikwad Journal: International Journal of Science and Research Year: 2015 Citations: 1