Team

↪ PhD Students

Vladimir Ivanov

Vladimir Alexandrovich Ivanov is a Phd student in Computer Science. In 2014, he earned his B.S. in Mathematics and Accounting at Fairfield University. Vladimir’s interest is to reverse engineer the brain and further advance the capabilities of artificial intelligence systems. He focuses on the effects of support cells within CNS on neural information processing. Vladimir engages also in philosophy, weight training, skiing, backpacking, piano, and bio-hacking.

Research Interests:

Biologically Constrained Neural Networks, Neural Information Processing and Representation, Statistical Physics, Machine Learning

Publications:

Polykretis, Ivanov, Michmizos ICONS 2018


Guangzhi Tang


Guangzhi is a PhD student in Computer Science. He got his MS degree in the lab. Before coming to Rutgers, he got his B.S. degree in Computer Science from Nanjing University in China. He is an amateur road cyclist, and member of Rutgers Cycling team. He is interested in neuro-inspired algorithms for Artificial Intelligence and Robotics.

Research Interests:

Neurocomputing, Robotics

Publications:

Tang & Michmizos, NICE 2017; CCN 2017; ICONS 2018


Giannis Polykretis


Giannis is a PhD student in Computer Science. Before coming to Rutgers, he got his Diploma in Electrical and Computer Engineering from the National Technical University of Athens, in Greece. His research focuses on computational astrocyence.

Research Interests:

Neurocomputing, Computational Modeling

Publications:

Polykretis, Ivanov, Michmizos ICONS 2018


Neelesh Kumar


Neelesh Kumar is a PhD student in Computer Science co-supervised by Dimitri Metaxas and Konstantinos Michmizos. He got his MS degree in the lab. Before coming to Rutgers, he got his B.Tech degree from India. His research interest lies in using machine learning techniques to exploit hidden structures in data. He also follows football and is a passionate Chelsea FC fan.

Research interest:

Machine Learning, Computational Neuroscience, Neuro-rehabilitation Robotics, Neuroimaging

Publications:

Kumar et al. CCN 2017


 

↪ MSc Students


Karan Banga is an MSc student in Computer Science and is developing new adaptive controllers for neurorehabilitation robotics.

 

 

Research Interests:

EEG, Robotics


Gungzhi Tang
MSc 2017

Now a PhD student
Computer Science
Rutgers University
MS Thesis

Publication:

NICE 2017; CCN 2017

Neelesh Kumar
MSc 2017

Now a PhD student
Computer Science
Rutgers University
MS Thesis

Publication:

CCN 2017

Chintan Trivedi
MSc 2017


Now a Data Scientist
Credit2B
Piscataway, NJ
MS Thesis

Publication:

CCN 2017

Praveenram Balachandar
MSc 2017

Now a Software Engineer
2U
Brooklyn, NY
MS Thesis

Publication:

NICE 2017, CCN 2017

Fan Yang
MSc 2017

Now a Data Miner
Alibaba Group
China
MS Thesis

 

 

↪ Undergraduate Students


Nick Georgiou is an NSF REU student, coming from the University of Virginia with a double major in Computer Engineering and Computer Science and a minor in Business. He is conducting research on neurorehabilitation robotics.

 

 

Research Interests:

EEG, Robotics

 

↪ Honor's Aresty Students

Joshua Siegel


Josh Siegel is an Undergraduate Honor's student majoring in Electrical & Computer engineering and is working on controlling a robot's motion using brain waves.

Within academics, Josh is interested in Robotics and Controls, and also studies space exploration as a hobby. Outside of academics, Josh is an avid swimmer who competes as part of the Rutgers Club Swim team, and enjoys the outdoors as an Eagle Scout.

Research Interests:

EEG, Robotics


Arpit Shah


Arpit Shah is an undergraduate student admitted to the B.S./M.S. Honor's track in Computer Science at Rutgers. His interests lie in machine learning and robotics. Outside of school, he likes to work on various small projects and play ping pong.

Research Interests:

Machine Learning, Robotics


Scott Hoberman


Scott is an undergraduate Honor's College student majoring in Cognitive Science at Rutgers University. He is also minoring in Computer Science, Mathematics, and Music, and enjoys learning about the brain and applying that knowledge to build sophisticated algorithms. Outside of school, Scott likes to play the drums, listen to music, and read.

Research Interests:

Machine Learning, Robotics


↪ Lab Alumni

 
Leo Kozachkov
Research Internship 2016 - 2017


Now a PhD student
Brain and Cognitive Sciences
Massachusetts Institute of Technology

Publications:

NICE 2017; CCN 2017; Kozachkov et al. 2017;
Kozachkov & Michmizos 2017

Kevin Feigelis
Summer Research 2016


Now a PhD student
NeuroAI Lab
Stanford University

Publications:

NICE 2017; Kozachkov et al., 2017

Roopeswar Kommalapati
NSF REU

Publication:

Kommalapati & Michmizos, IEEE EMBC 2016

 
Christian Suazi
Individualized Major in "Cognitive Science" 2017

Christine Chhatwal
Individualized Major in "Cognitive Neuroscience" 2017

Karankumar Karan
Independent study 2017

Benjamin Maas
Independent study 2016

Anuja Sarwate
Independent study 2016

Sandeep Mattappali
Independent study 2016