Sushma Anand Akoju (Preferred)
Sushma Akoju
Sushma A. Akoju
Sushma Anand Akoju
Currently in Career Transition, Details to be added.
PhD Student (Aug 2024 - Feb 6 2026), Computer Science, University of New Hampshire, Durham
Joined
May 2023
Names
,
,
Emails
****@gmail.com (Confirmed)
****@unh.edu (Confirmed)
****@gmail.com (Confirmed)
****@gmail.com (Confirmed)
****@gmail.com (Confirmed)
****@proton.me (Confirmed)
****@colorado.edu (Confirmed)
Personal Links
Career & Education History
Currently in Career Transition
Details to be added. (journey.edu)
2026 – Present
PhD Student (Aug 2024 - Feb 6 2026)
Computer Science, University of New Hampshire, Durham (unh.edu)
2024 – 2026
PhD student
Computer Science, University of Arizona (cs.arizona.edu)
2022 – 2024
MS student
Data Science, University of Colorado at Boulder (colorado.edu)
2021 – 2022
MS student
Information Science, University of Pittsburgh (pitt.edu)
2014 – 2015
MS student
University of Hyderabad (uohyd.ernet.in)
2011 – 2012
Advisors, Relations & Conflicts
Science Communication Mentor
Jessica Bolker
2025 – 2025
Teaching Mentor
Kristin Winet
2023 – 2025
Teaching Mentor
Byron Hempel
2023 – 2025
Theory Mentor
Roberto Giacobazzi
2023 – 2024
Research Project Advisor
Henry Lovejoy
2021 – 2024
Lonterm Mentor
Brian Zaharatos
2021 – 2024
Data Mining Mentor
Di Wu
2021 – 2024
Mentor
Johannes Kleiner
2023 – 2023
SymLogic Mentor
Anthony S. Gillies
2023 – 2023
Research Project Advisor
Kartikay Chadha
2021 – 2023
Mentor @ CUBoulder
Bobby Schnabel
2021 – 2022
Stats Course Mentor
James Bird
2021 – 2022
Supervisor
Matt Ruffalo
2019 – 2020
Peerage - Research Lead
Mahender Mandala
2015 – 2015
E-Scale - Research Lead
Anand Mhatre
2015 – 2015
E-Scale Research Lead
Jonathan Duvall
2015 – 2015
Expertise
Theoretical Neuroscience (self-learning
, open for closed-book evaluation and discussions)
2025 – Present
Representational Alignment (self-learning + research papers + talks
, open for closed-book evaluation and discussions)
2024 – Present
Mathematical Consciousness (Mentored + workshops/conferences
, open for closed-book evaluation and discussions)
2023 – Present
Cognitive Science (UArizona
, open for closed-book evaluation and discussions)
2022 – Present
Reasoning (Mentored/Books
, open for closed-book evaluation and discussions)
2021 – Present
Cognitive Neuroscience (self-learning + mentored
, open for closed-book evaluation and discussions)
2021 – Present
Symbolic Logic (self-learning + mentored
, open for closed-book evaluation and discussions)
2018 – Present
Theory of Computation (self-learning + mentored
, open for closed-book evaluation and discussions)
2018 – Present
Deep Learning (Talks + Lecture materials + videos + books
, open for closed-book evaluation and discussions)
2018 – Present
Conversational AI
2016 – Present
Natural Language Understanding
2016 – Present
Multimodal AI
2016 – Present
https://tinyurl.com/learning-philosophy
2016 – Present
Toxic Language Detection
2021 – 2025
Statistical Machine Learning
2019 – 2025
Neurosymbolic methods
2018 – 2025
First order/higher order logic
, reasoning
, proofs
2018 – 2025
Knowledge representation & reasoning in natural language
2018 – 2025
Foundations for Language and Logic
2018 – 2025
Neural Networks (Theory + Implementations) (self-learning
, open for closed-book evaluation and discussions)
2016 – 2025
https://tinyurl.com/neurosymbolic-methods-study
2014 – 2025
Natural logic
2022 – 2024
Image Processing
2019 – 2024
OCR scanned image to text processing
2022 – 2023
Programming
2014 – 2023
Machine Learning
2017 – 2020
Publications
Co-Authors
- Aaron Horning
- Aaron Pawlyk
- Agnes B. Fogo
- Ajay Pillai
- Alexander Ropelewski
- Allyson Ricarte
- Amanda Posgai
- Amir Bahmani
- Ananda L. Roy
- Andrew Butler
- Ankit Dangi
- Anna Hupalowska
- Arjun Bhardwaj
- Aviv Regev
- Benedict Paten
- Bernd Bodenmiller
- Bruce William Herr II
- Carl Kingsford
- Charles Ansong
- Christian Martijn Schuerch
- Chuck McCallum
- Clive Wasserfall
- Cole Trapnell
- Dana Jackson
- Danielle Gutierrez