Sotabase

Career

· Faculty Director of the HIVE Entrepreneurship Center, Purdue University2025–
· Elmore Associate Professor of Electrical and Computer Engineering, Purdue University2024–
· Chief Technology Officer (consulting), Zoomi Inc.2024–
· Elmore Assistant Professor of Electrical and Computer Engineering, Purdue University2023–2024
· Chairman of the Board, Aerial Vantage2021–
· Associate Director of the EDGE Lab, Princeton University2018–2019
· Lecturer of Electrical Engineering, Princeton University2017–2019
· Doctor of Philosophy in Electrical Engineering, Princeton University2016–
· Adjunct Professor of Engineering, The College of New Jersey2016–2017
· President & CEO, Mosaic Data Science2014–
· Head of Advanced Research (consulting), Zoomi Inc.2014–2016
· Masters Degree in Electrical Engineering, Princeton University2013–
· Co-founder, Zoomi Inc.2013–
· Bachelor of Science in Electrical Engineering, The College of New Jersey2011–
· President and Principal Analyst, Mosaic ATM2004–
· President & CEO, Mosaic Software2004–
· Chief Operating Officer, Metron Aviation2002–2004

Publications (250)

Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model
IEEE Transactions on Learning Technologies · 2013
260
cited
Fast-Convergent Federated Learning
IEEE Journal on Selected Areas in Communications · 2020
241
cited
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks
IEEE Communications Magazine · 2020
155
cited
MOOC performance prediction via clickstream data and social learning networks
IEEE Conference on Computer Communications · 2015
154
cited
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations
IEEE Journal on Selected Areas in Communications · 2021
135
cited
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
IEEE Conference on Computer Communications · 2021
128
cited
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks
IEEE Journal on Selected Topics in Signal Processing · 2017
125
cited
Network-Aware Optimization of Distributed Learning for Fog Computing
IEEE/ACM Transactions on Networking · 2020
118
cited
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks
IEEE/ACM Transactions on Networking · 2020
111
cited
Individualization for Education at Scale: MIIC Design and Preliminary Evaluation
IEEE Transactions on Learning Technologies · 2015
86
cited
Mining MOOC Clickstreams: Video-Watching Behavior vs. In-Video Quiz Performance
IEEE Transactions on Signal Processing · 2016
82
cited
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
IEEE Journal on Selected Areas in Communications · 2022
68
cited
On the Viability of a Cloud Virtual Service Provider
Measurement and Modeling of Computer Systems · 2016
58
cited
Latency Minimization for Mobile Edge Computing Networks
IEEE Transactions on Mobile Computing · 2021
56
cited
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
IEEE Conference on Computer Communications · 2022
52
cited
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors
IEEE Transactions on Learning Technologies · 2019
51
cited
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
IEEE Transactions on Network and Service Management · 2021
49
cited
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification
IEEE Transactions on Cognitive Communications and Networking · 2021
47
cited
Social learning networks: A brief survey
Annual Conference on Information Sciences and Systems · 2014
37
cited
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
IEEE Transactions on Wireless Communications · 2024
36
cited
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