From clicks to insights: analysing online customer reviews for handicraft products
Sonal Singh, Venkata Chaitanya Kanakamedala, Ravi Teja
Technology Analysis and Strategic Management Journal · 2025
Founder Research
Where the technology started.
Peer-reviewed papers and invited talks from the founder's academic research. These predate CerbQ — they are not company publications — but they are the ML systems thinking that the product is built on.
Peer-reviewed publications
Sentiment analysis of online customer reviews for handicraft product using machine learning: a case of Flipkart
VC Kanakamedala, SH Singh, R Talasani
International Conference for Advancement in Technology (ICONAT) · 2023
Identifying Different Operational Regimes of an Electric Arc Furnace Using Machine Learning Based Alternative Clustering Approaches
Venkata Chaitanya Kanakamedala, Allen Chacko Johny, Arya K Bhattacharya, Kumar Chatterjee
International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 2023
Most relevant to CerbQ — applies ML to industrial process monitoring (electric arc furnace).
Invited talks & presentations
Identifying parking demand hotspots and predicting rate surging using machine learning
Urban Transitions Conference 2024 · Sitges, Spain · Keynote
Infrastructure-scale ML for demand prediction and surge pricing — same systems thinking that underpins CerbQ's approach to multi-camera, multi-facility safety intelligence.
View slidesAdvancing agriculture communication network in Virginia through a secure web platform "Ag Corp"
National Agricultural Producers Data Cooperative (NAPDC) 2024 · University of Nebraska-Lincoln
Building secure, real-time information platforms for distributed users — an architectural cousin to CerbQ's multi-site safety dashboard.
View slidesThe current state of AI in Transportation through the lens of Topic Modeling
AI Expo for National Competitiveness 2024 · Washington, D.C.
Computer vision, topic modeling, and LLM-driven research workflows at a national AI showcase — directly relevant to CerbQ's computer-vision foundations.
View slides