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

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



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


Professor
Boston University School of Public Health
Biostatistics




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
ECCS-2317079

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
IIS-1914792

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
CCF-2200052

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
EE0009696-BU

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
DMS-1664644

Optimization and Learning Strategies for Protein Docking
09/20/2019 - 08/31/2023 (Co-Investigator)
NIH/National Institute of General Medical Sciences
5R01GM135930-03

Showing 10 of 24 results. Show All Results


Title

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

YearPublications
20061
20071
20081
20101
20124
20133
20147
20155
20161
20186
20193
202011
20217
20227
20236
20247


Recent (within 3 months)

Boston University used AI to detect Alzheimer’s in patients up to 6 years in advance

Health Care Brew 6/28/2024

How speech analysis via AI could predict dementia onset

Health Tech World 6/28/2024

AI COULD PREDICT ALZHEIMER’S DISEASE RISK

Futurity 6/26/2024

AI MODEL PREDICTS ALZHEIMER’S USING SPEECH ANALYSIS

Pedfire 6/26/2024

Automated prediction of Alzheimer's disease progression using speech and machine learning

News Medical 6/25/2024

New AI program analyzing speech patterns could predict likelihood of Alzheimer's disease

Medical Xpress 6/25/2024

Alzheimer’s research: Boston scientists create AI model to ‘catch Alzheimer’s disease early’

Boston Herald 6/25/2024

Can this AI model predict early who will get Alzheimer’s, based on one trait?

Oregon Live 6/25/2024

Older

AI could find best meds for high blood pressure

Futurity 7/5/2023

New artificial intelligence program could help treat hypertension

Medical Xpress 6/6/2023

Biofabrication of a HUMAN Heart! | NSF Science Now

National Science Foundation 9/22/2022

Using AI To Quickly Diagnose Alzheimer’s Disease and Dementia From Voice Recordings

SciTechDaily 8/31/2022

Voice Recordings Spot Cognitive Impairment

MedPage Today 7/13/2022

New AI tool could help diagnose Alzheimer’s disease earlier

WHDH 7/12/2022

Interesting Interdisciplinarians

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

Navigation Apps Changed the Politics of Traffic

CityLab 11/12/2019

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
Contact for Mentoring:

8 St. Mary's St.
Boston MA 02215
Google Map


Paschalidis's Networks
Click the "See All" links for more information and interactive visualizations
Concepts
_
Media Mentions
_
Co-Authors
_
Similar People
_
Same Department