HARSHIT SRIVASTAVA

Innovative founder and PhD in electrical engineering with expertise in algorithm development and project management. Successfully raised over $100,000 in funding at Sensable while developing core navigation algorithms for assistive technologies. Extensive experience in leading multilingual teams and managing technical recruitment across diverse environments in Japan and Taiwan. Proficient in stochastic modeling and network systems design, effectively translating complex research into scalable product solutions.

Voluntary Tutor & Mentor, Volunteer in USF to guide iCONS Lab Projects and Capstone Projects with the help of Dr. Ravi Sankar

Journal Reviewer: Actively vetted and evaluated technical manuscripts for high-impact journals, including:

• IEEE Transactions on Computational Social Systems (TCSS): Evaluated research on social network analysis and pandemic-related data trends (e.g., The Easter and Passover Blip in New York City" for IEEE Transactions on Computational Social Systems).
• MDPI Algorithms: Provided critical peer review and contributed to the major revision process for papers focused on cooperative learning and diverse data source integration.
  MDPI Sensors & Applied Sciences: Invited contributor and reviewer for special issues on Neural Networks in Sensors and Anomaly Detection in sensory data.
• Springer Nature Series: Engaged with technical committees and review cycles for various international conferences published via Springer Nature. (A Cross-layered Cluster Embedding Learning Network with Regularization for Multivariate Time Series Anomaly Detection" for The Journal of Supercomputing)
• Scholarly Evaluation: Critically analyzed methodology, mathematical rigor, and objective definitions in submissions involving Stochastic Modeling, Machine Learning, and Network Theory.

• IEEE Transactions on Computational Social Systems (2020): "Information Dissemination from Social Network for Extreme Weather Scenario" - The core work on Hurricane Irma and NOAA data.
• Algorithms (2023): "Cooperative Attention-Based Learning between Diverse Data Sources" — Focuses on the SIR model and game-theoretic optimization.
• Computers (2025): "Redefining Event Detection and Information Dissemination: Lessons from X (Twitter) Data Streams"
• PhD Dissertation (2022): "Information Dissemination and Perpetual Network" (USF Digital Commons)

ALEX FITNESS STUDIO | IT Infrastructure Consultant | Tampa, FL | 2026

• Backend Solutions: Developed the complete IT infrastructure and backend architecture for a private gym, enabling automated client management and growth tracking.
• IT Autonomous Receptionist: Engineered an autonomous digital receptionist system to streamline client check-ins, session booking, and trainer scheduling.
• Marketplace Development: Created an integrated marketplace for personal training packages, featuring a credit-based booking system and calendar integration for real-time scheduling.