Sepideh Koohfar, M.S./Ph.D.
Current, since August 2018, expected to graduate Spring 2023.
Pooja Oza, Ph.D., post-Masters.
Current, since August 2018, expected to graduate Spring 2023.
Shubham Chatterjee, M.S./Ph.D.
Current, since January 2018, expected to graduate Spring 2022.
Sumanta Kashyapi, Ph.D.
Current, since August 2017, expected to graduate Spring 2022.
Victor Malone, Ph.D. (Data Science).
Current, since January 2020. Degree on hold because of COVID19, also
Data Scientist at DataRobot.
Jordan Ramsdell, Ph.D., August 2018 – January 2021.
Left without degree, now Scientific Consultant at BioTeam.
Matthew Magnusson, Ph.D, since January 2017.
Degree on hold, also Lecturer at the CS Department at UNH.
Hang Zhang, Ph.D., August 2017 – April 2018.
Left without degree, now Applied Scientist at Amazon.
I have served on the Ph.D. committees and/or depth exams to 7 UNH Students:
Tianyi Gu (Advisor: Prof. Ruml).
Paul Gesel (Advisor: Prof. Begum).
Madison Clark-Turner (Advisor: Prof. Begum).
William Doyle (Advisor: Prof. Ruml).
Bahram Behzadian (Advisor: Prof. Petrik).
Reazul Hasan Russel (Advisor: Prof. Petrik).
Bence Cserna (Advisor: Prof. Ruml).
While being tenure-track faculty at UNH, I have served on Ph.D. committees of the following students at other academic institutions:
Sebastian Arnold, University of Fribourg, Switzerland. (Advisors: Prof. Alexander Loeser and Prof. Philippe Cudre-Mauroux)
Lydia Weiland, University of Mannheim, Germany. (Advisors: Prof. Simone Ponzetto and Dr. Laura Dietz)
Kai Hui, Max Planck Institute for Computer Science, Saarbrucken, Germany. (Advisors: Prof. Klaus Berberich and Prof. Gerhard Weikum)
Connor Lennox, since May 2021.
Current, expected to graduate Spring 2022.
Brendan Blanchard, since August 2021.
Current, expected to graduate Spring 2022.
Sarah Hall, since January 2021.
Current, expected to graduate Fall 2022.
Gayathri Venkatasrinivasan, August 2020 – May 2021.
Completed, now Associate Software Engineer at Fidelity Investments.
Stavan Anjaria, August 2020 – May 2021.
Completed, seeking employment.
Shubham Chatterjee, January 2018 - December 2020.
Completed, continuing as my Ph.D. student.
Sepideh Koohfar, August 2018 – May 2020.
Completed, continuing as my Ph.D student.
Jordan Ramsdell, April 2018 – August 2018.
Completed, now Scientific Consultant at BioTeam.
Nithin Padmakumar, Sivakumar, February 2018 – October 2019.
Completed, now Software Engineer at Juniper Networks
Tucker Owens, March 2017 – January 2019.
Left without degree, now Software Engineer at QA Cafe.
During my previous employment at Mannheim University in Germany, I was awarded a research grant from the Baden-Wuerttemberg Stiftung, which could not be transferred internationally. Hence the grant continued to be managed in my name at the Mannheim University from May 2016 – May 2019. The grant supported the following Ph.D. students, who were primarily advised by me, for whom Prof. Simone Ponzetto agreed to serve as the official adviser.
Federico Nanni, Ph.D, May 2016 – December 2018.
Left without degree. Now Senior Research Data Scientist at The Alan
Turing Institute, London, U.K.
Lydia Weiland. Ph.D., May 2015 – June 2018.
Completed, now CEO and Senior Data Scientist bei Datensinn GmbH,
Mannheim, Germany.
Additionally I am working with students who are enrolled as Continuing Education students in the Computer Science program.
I am the academic adviser in the Computer Science degree program since 2017, and the Analytics and Data Science degree program since AY 2020/21. While many of my advisees have graduated since, I am currently advising 21 students in CS, and 8 in the ADS program.
I have advised the following undergrads on their capstone experiences:
Senior Thesis on “Optical Sheet Music Recognition (OMR)”. The work is about algorithms to perform OCR-like identification of musical notes in noisy scans of sheet music. Challenges are the identification of staff lines, identification of notes and rests.
Statistics Senior Project on “Survey to Data Efficient Approaches to Formality Transfer”. His emphasis is to rewrite text in a different style, while not modifying the core message of the text.
Senior Project on “Storm Event Detection” in May 2020. The project is about training a logistic regression model for storm event segmentation, including the manual creation of a training benchmark and some rudimentary plotting tools.
Senior Project on “Storm Event Detection and Analysis”. The project is about segmenting time series data into storm events using machine learning methods such as logistic regression and convolutional neural networks. The ground truth is derived from precipitation data of NOAA. After segmentation these storm events are analyzed for solute transport patterns, such as how solute concentration spikes relate to changes in flow rate.
Honors Thesis on “Impromptune: Symbolic Music Generation with Relative Attention Mechanisms”. His focus is on generating a musical piece given prompt (music sample) to follow. Connor explores different Transformer-based neural networks and customizes one component called “relative attention” to the music domain.
Senior Thesis on “Learning to Retrieve-and-Generate for Article Generation”. His emphasis is on predicting a meaningful order among relevant paragraphs using BERT-based neural networks.