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
Neelesh Kumar
Neelesh Kumar is a PhD student in Computer Science. He got his MS degree at ComBra 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
Roderick Wang
Roderick Wang is an MSc student in Computer Science and is developing new adaptive controllers for neurorehabilitation robotics.
Research Interests:
EEG, Robotics
Graduated
Arpit Shah - MCs 2019
Now a Software Engineer
Bloomberg LP
NY, NY
Thesis: “Development of an astrocytic module for spiking neural networks on neuromorphic hardware”
Publications: NICE 2019, IROS 2019
Outstanding Master’s Student Publications Award
Karansingh Banga - MCs 2019
Now a Data Scientist
Content IQ, NY, NY
Thesis: “Development of an adaptive serious game for assessing cognitive engagement”
Publication: ASNR 2019
Guangzhi Tang - MSc 2017
Now a PhD student
Computer Science
Rutgers University
Thesis: “GRIDBOT: Towards a Neuroinspired Navigation System for Robot Planning”
Publications: NICE 2017; CCN 2017
Neelesh Kumar - MSc 2017
Now a PhD student
Computer Science
Rutgers University
Thesis: “Vision based cognitive fatigue detection”
Publication: CCN 2017
Chintan Trivedi - MSc 2017
Now a Data Scientist
Credit2B, NJ
Thesis: “Camera based detection of the onset of cognitive fatigue”
Publication: CCN 2017
Praveenram Balachandar - MSc 2017
Now a Software Engineer
2U
Brooklyn, NY
Thesis: “A neuro-inspired oculomotor controller for a robotic head prototype”
Publications: NICE 2017, CCN 2017
Fan Yang - MSc 2017
Now a Data Miner
Alibaba Group
China
Thesis: “Localization of subthalamic nucleus from microelectrode recordings with k-means clustering”
↪ Undergraduate Students
Nick Georgiou
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
Josh 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 201
Kevin Feigelis - Summer Research 2016
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
