Vijay Voddi, M.S., Ph.D.

Director of Data Science Programs, Data Science Institute

Headshot of Vijay Voddi

Contact Info

About

Dr. Vijay Kumar Reddy Voddi is a distinguished academic leader, educator, and researcher in Data Science, Artificial Intelligence, and Analytics, serving as Director of Data Science Programs at Saint Peter’s University. He will earn his Ph.D. in Data Science in May 2026, marking the culmination of advanced research that integrates AI, big data, and predictive modeling to drive innovation across industries.

In his leadership role, Dr. Voddi has transformed the Data Science Institute into a hub of academic excellence through strategic program development, interdisciplinary collaboration, and industry engagement. Over the past five years, he has mentored more than 3,000 students, guiding them toward successful full-time careers through personalized advising and project-based learning. He has built a vibrant alumni community that continues to mentor current students—embodying his student-centered philosophy: “for the students, of the students, and by the students.” His dedication has earned continuous praise from students for his mentorship, accessibility, and inspiration.

Dr. Voddi’s research explores AI-driven analytics, machine learning, sustainable computing, and electric-vehicle sentiment analysis, connecting technological innovation with social impact. His work has appeared in leading IEEE and international journals, and he has represented Saint Peter’s University at major global conferences. As a Senior Member of IEEE, he actively contributes to the advancement of Data Science through editorial reviews, conference leadership, and faculty mentorship.

Proficient in English, Telugu, Kannada, and Hindi, Dr. Voddi believes in communication as a bridge across cultures—fostering collaboration and inclusion within diverse academic environments. Outside academia, he is a passionate athlete with a national ranking in Badminton, a USTA Tennis rating of 4.0, and active participation in Cricket and Pickleball (DUPR 4.0). His athletic discipline mirrors his professional values of perseverance and teamwork.

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Big Data Analytics
  • Sustainable Computing
  • Electric Vehicle Sentiment Modeling
  • Higher-Education Data Strategy

COURSES TAUGHT

Career & Accomplishments

Degrees

  • •Ph.D. in Data Science (expected May 2026)

  • •M.S. in Data Science with Concentration in Business Analytics

  • •Bachelor of Technology in Computer Science Engineering

Awards & Honors

  • •AMDG Mission Award (2025) – Saint Peter’s University For exemplifying Jesuit values through leadership and service.

  • •OnCon Icon Award – Top 50 Data & Analytics Professional (2025) Global recognition for leadership and innovation in AI and Data Science.

  • •Global Recognition Award (2024) For contributions to Data Science education and research.

  • •International Science, Technology & Research Awards (ISTRA 2024) International Distinguished Researcher Award in Data Science.

  • •Eminent Research Scholar Award (2023) – Noval Research Academy.

  • •Best Paper Award – IEEE ICRATC 2023.

Publications and Research Contributions

2025

  • Electronic Human Resource Records with Deep Neural Networks for Intelligent HR Function Optimization. IEEE ICCCNT 2025, IIT Indore (Paper ID 9853).
  • Targeted Marketing Strategies Using Face Recognition Integrated with Particle Swarm Optimization. IEEE ICCCNT 2025 (Paper ID 9849).
  • Integrating AI and Deep Learning (MobileVNet) for Smart Agricultural Farming. Accepted for IEEE IC-EETA 2025 (Nov 6–8).

2024

  • Electric Vehicle Market Analysis and Consumer Behavior. SEMIT 2024 (Paper ID 1054-SEMIT2024).
  • Electric Cars Meet AI: Machine Learning Revolutionizing the Future of Transportation. IJCNIS 16(2): 157–160.
  • Neuro Deep Fuzzy Genetic Algorithm Approach for Classification and Detection of Brain Tumor. ICTACT JSC 15(2): 3473–3481.
  • Sustainable AI: Analyzing the Environmental Impact of Large-Scale Data Systems in Higher Education. JoCAAA 33(5): 1007–1013.

2023

  • Bike Sharing: An In-Depth Analysis on the Citi Bike System of Jersey City. IEEE ICRTAC 2023.
  • CoRL: A Cost-Responsive Learning Optimizer for Neural Networks. IEEE SMC 2023.
  • Analyzing the USA Housing Complaints to Score County Problems. ODSIE 2023.
  • The Road to Sustainability: Insights from Electric Cars Project. IJRITCC 11(11): 680–684.

2022 – 2021

  • Success and Struggle: Countries that Minimized COVID-19 Cases and the Factors Behind Their Outcomes. ResMilitaris 12(5).
  • Cultural Health Moments: A Search Analysis During Times of Heightened Awareness. JEMS 4(4): 35.
  • Unveiling Patterns: Seasonality Analysis of COVID-19 Data in the USA. NeuroQuantology 19(10): 682–686.
  • Spatial Distribution and Dynamics of Retail Stores in New York City. Webology 9941–9948.

Earlier Work

  • Riding Smarter: Forecasting Methods Powering Citi Bike’s NYC Operations. TURCOMAT 10(1).
  • Population Diagnosis System. IJARCCE (2018).

Additional Information

Professional Memberships

IEEE (Senior Member) • American Chamber of Research Council • IOASD • Sigma Xi • ACM • American Statistical Association • UPE

Editorial and Journal Review Contributions

Editorial Reviewer – SQL for Data Analytics (2025) | Reviewer for SEMIT 2025, ODSIE 2025, IJAIML, IEEE SMC 2023–2024, and IEEE ICRATC 2023. Research topics include AI ethics, machine learning, cybersecurity, and data governance.

Certifications

  • Enterprise Design Thinking – IBM
  • Diploma in Data Science – Certified Program
  • Python for Data Science and Machine Learning
  • Spark and Python for Big Data with PySpark
  • The Complete SQL Bootcamp (2022)
  • Power BI Essential Training
  • Google Analytics Essential Training
  • Google Analytics Individual Qualification (GAIQ)
  • Google Ads Search Certification
  • Financial Planning & Analysis: Building Company’s Budget
  • First Aid Certification – Indian Red Cross Society