
Vijay Kumar
· Professor Nemirovsky Family DeanUniversity of Pennsylvania · Computer Science
Active 1967–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
VIJAY KUMAR is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. His group works on creating autonomous ground and aerial robots, designing bio-inspired algorithms for collective behaviors, and on robot swarms.
Research topics
- Computer Science
- Artificial Intelligence
- Machine Learning
- Pathology
- Medicine
- Data science
- Algorithm
- Radiology
Selected publications
Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
2025-05-19 · 9 citations
articleSenior authorWe demonstrate the capabilities of an attentionbased end-to-end approach for high-speed vision-based quadrotor obstacle avoidance in dense, cluttered environments, with comparison to various state-of-the-art learning architectures. Quadrotor unmanned aerial vehicles (UAVs) have tremendous maneuverability when flown fast; however, as flight speed increases, traditional model-based approaches to navigation via independent perception, mapping, planning, and control modules breaks down due to increa…
Records of the Zoological Survey of India · 2025-02-05 · 2 citations
article1st authorCorrespondingExcess illumination from artificial lighting poses a serious hazard to nocturnal species, particularly flying nocturnal creatures. Bats possess excellent active flight with highly adapted limbs. All bat species are entirely nocturnal and have quite distinct feeding patterns and foraging strategies. Cynopterus sphinx is a medium-sized bat that feeds on ripe fruits, leaves, and floral parts available in foraging grounds on a variety of plant species and plays a significant role in pollination and…
Separation and Purification Technology · 2025-08-31 · 1 citations
articleOpen access• ML models predicted the filtration efficiency and pressure drop of HVAC filter media. • GPR outperforms ANN and DT, achieving highest R 2 and lowest RMSE for small datasets. • GPR predicted filtration efficiency at Most Penetrating Particle Size (∼300 nm) • Robustness of GPR predictions confirmed via validation with commercial HVAC filters. The COVID-19 pandemic has highlighted the critical need to improve indoor air quality (IAQ) through efficient air filtration, especially in heating, ventil…
“Fraud Detection in Financial Transactions Using Pyspark on Databricks”
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025-06-11
articleOpen access1st authorCorrespondingAbstract - In the era of digital finance, detecting fraudulent transactions is a major concern for financial institutions. Fraudulent activity not only results in monetary losses but also erodes customer trust. This project proposes a scalable and efficient system for fraud detection in financial transactions using PySpark on the Databricks platform. The core idea is to leverage the power of distributed data processing with PySpark to train machine learning model capable of identifying potential…
Apple Academic Press eBooks · 2025-09-17
book-chapter1st authorCorrespondingThe development of multicriteria decision-making (MCDM) techniques helps in the decision-making process and addresses many real-life problems. In this chapter, an intuitionistic fuzzy-based MCDM decision-making technique has been proposed for the selection of a suitable site for a manufacturing plant. Dynamic intuitionistic fuzzy weighted averaging operator has been used for decision-making under an intuitionistic fuzzy environment. The method is demonstrated by the help of a case study, compris…
Recent grants
CPS: Frontier: Collaborative Research: BioCPS for Engineering Living Cells
NSF · $1.4M · 2015–2020
Grasp and Manipulation Planning in the Presence of Dynamics and Uncertainty
NSF · $294k · 2004–2009
Collaborative Research: Understanding Climate Change: A Data Driven Approach
NSF · $6.7M · 2010–2018
Frequent coauthors
- 68 shared
Pradeep Das
National Institute of Cholera and Enteric Diseases
- 44 shared
Dilbag Singh
- 37 shared
Amit Rawal
Indian Institute of Technology Delhi
- 31 shared
Dinesh Kumar
Delhi Technological University
- 31 shared
Shreekant Kesari
Rajendra Memorial Research Institute of Medical Sciences
- 29 shared
Daniel Ekwall
Hanken School of Economics
- 28 shared
Ludovic Koehl
Laboratoire Génie et Matériaux Textiles
- 28 shared
Xianyi Zeng
École Nationale Supérieure des Arts et Industries Textiles
Labs
Education
- 1990
Ph.D., Mechanical Engineering
University of California, Berkeley
- 1986
M.S., Mechanical Engineering
University of California, Berkeley
- 1984
B.S., Mechanical Engineering
University of California, Berkeley
Awards & honors
- Fellow of ASME
- Fellow of IEEE
- Elected to the National Academy of Engineering
- Elected to the American Philosophical Society
- Elected to the American Academy of Arts and Sciences
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