Ioannis Paschalidis, PhD Hear my name
Boston University College of Engineering
Electrical and Computer Engineering

PhD, Massachusetts Institute of Technology
MS, Massachusetts Institute of Technology

Boston University
Rafik B. Hariri Institute for Computing and Computational Science and Engineering

Boston University School of Public Health

CPS: Medium: Federated Learning for Predicting Electricity Consumption with Mixed Global/Local Models
05/01/2024 - 04/30/2027 (Multi-PI)
PI: Ioannis Paschalidis, PhD
National Science Foundation

EMERGE: ExaEpi for elucidating Multiscale Ecosystem complex for Robust Generalized Epidemiology
10/24/2023 - 09/30/2026 (Subcontract PI)
Lawrence Berkeley National Laboratory Department of Energy

SCH: INT: Distributed Analytics for Enhancing Fertility in Families
10/01/2019 - 09/30/2025 (Multi-PI)
PI: Ioannis Paschalidis, PhD
National Science Foundation

PIPP Phase I: Predicting and Preventing Epidemic to Pandemic Transitions
08/01/2022 - 01/31/2025 (Multi-PI)
PI: Ioannis Paschalidis, PhD
National Science Foundation

BU Robotics and Autonomous Systems Teaching and Innovation Center (BU-RASTIC)
12/07/2021 - 12/31/2024 (Multi-PI)
PI: Ioannis Paschalidis, PhD
Massachusetts Technology Collaborative

High-Fidelity Self-Learning Tool for Residential Load and Load Flexibility Forecasting
10/01/2021 - 12/31/2024 (Subcontract PI)
Fraunhofer USA Department of Energy

Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
09/02/2019 - 09/01/2024 (Multi-PI)
PI: Ioannis Paschalidis, PhD
Department of Defense/ONR

Barr Foundation Support for BWWC 2023 Wage Gap Measurement Program
01/01/2023 - 12/31/2023 (PI)
Barr Foundation, Inc.

QuBBD: From Personalized Predictions to Better Control of Chronic Health Conditions
06/01/2018 - 12/31/2023 (Multi-PI)
PI: Ioannis Paschalidis, PhD
National Science Foundation

Optimization and Learning Strategies for Protein Docking
09/20/2019 - 08/31/2023 (Co-Investigator)
NIH/National Institute of General Medical Sciences

Showing 10 of 24 results. Show All Results


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Amini S, Hao B, Yang J, Karjadi C, Kolachalama VB, Au R, Paschalidis IC. Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models. Alzheimers Dement. 2024 Jun 25.View Related Profiles. PMID: 38924662
  2. Yang J, Walker KC, Bekar-Cesaretli AA, Hao B, Bhadelia N, Joseph-McCarthy D, Paschalidis IC. Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response. Int J Med Inform. 2024 May 24; 189:105500.View Related Profiles. PMID: 38815316
  3. Zad Z, Bonecker S, Wang T, Zalcberg I, Stelzer GT, Sabioni B, Gutiyama LM, Fleck JL, Paschalidis IC. Prediction of deep molecular response in chronic myeloid leukemia using supervised machine learning models. Leuk Res. 2024 Jun; 141:107502. PMID: 38636414
  4. Yland JJ, Zad Z, Wang TR, Wesselink AK, Jiang T, Hatch EE, Paschalidis IC, Wise LA. Predictive models of miscarriage on the basis of data from a preconception cohort study. Fertil Steril. 2024 Jul; 122(1):140-149.View Related Profiles. PMID: 38604264
  5. Herbst K, Wang T, Forchielli EJ, Thommes M, Paschalidis IC, Segrè D. Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations. Commun Biol. 2024 Apr 03; 7(1):407. PMID: 38570615; PMCID: PMC10991586; DOI: 10.1038/s42003-024-06093-w;
  6. Sotudian S, Paschalidis IC. ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations. Comput Biol Med. 2024 Apr; 172:108312. PMID: 38503090; PMCID: PMC10990436; DOI: 10.1016/j.compbiomed.2024.108312;
  7. Zad Z, Jiang VS, Wolf AT, Wang T, Cheng JJ, Paschalidis IC, Mahalingaiah S. Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records. Front Endocrinol (Lausanne). 2024; 15:1298628.View Related Profiles. PMID: 38356959; PMCID: PMC10866556; DOI: 10.3389/fendo.2024.1298628;
  8. Romano MF, Shih LC, Paschalidis IC, Au R, Kolachalama VB. Large Language Models in Neurology Research and Future Practice. Neurology. 2023 Dec 04; 101(23):1058-1067.View Related Profiles. PMID: 37816646; PMCID: PMC10752640; DOI: 10.1212/WNL.0000000000207967;
  9. Zad Z, Jiang VS, Wolf AT, Wang T, Cheng JJ, Paschalidis IC, Mahalingaiah S. Predicting polycystic ovary syndrome (PCOS) with machine learning algorithms from electronic health records. medRxiv. 2023 Oct 01.View Related Profiles. PMID: 37577593; PMCID: PMC10418575; DOI: 10.1101/2023.07.27.23293255;
  10. Hashemi N, Hao B, Ignatov M, Paschalidis IC, Vakili P, Vajda S, Kozakov D. Improved prediction of MHC-peptide binding using protein language models. Front Bioinform. 2023; 3:1207380.View Related Profiles. PMID: 37663788; PMCID: PMC10469926; DOI: 10.3389/fbinf.2023.1207380;
Showing 10 of 71 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 71 publications over 16 distinct years, with a maximum of 11 publications in 2020


Recent (within 3 months)

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Voice Recordings Spot Cognitive Impairment

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Interesting Interdisciplinarians

NSF PREPARE: Science Before the Storm 11/1/2021

Navigation Apps Changed the Politics of Traffic

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Using Big Data, Machine Learning to Reduce Chronic Disease Spending

HealthITAnalytics 9/18/2018

2022 International Federation of Automatic Control (IFAC): Fellow
2022 Boston University: Distinguished Professor of Engineering
2020 College of Engineering, Boston University: Charles DeLisi Award and Lecturer
2014 IEEE: Fellow
2011-2016 College of Engineering, Boston University: Distinguished Faculty Fellow
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