Dr. Banerjee is an Assistant Professor in CSEE at University of Maryland at Baltimore County (August 2012-). He currently directs the Mobile, Pervasive, and Sensor Systems lab at CSEE, University of Maryland, Baltimore County and is a member of the Cybersecurity Center at UMBC. He graduated with a Ph.D. from the department of Computer Science at University of Massachusetts, Amherst under the supervision of Prof. Mark Corner in 2009, where he won the Yahoo! Outstanding Thesis award for 2008-09. He completed his M.S. from University of Massachusetts, Amherst. Before his Masters, he spent four years earning a Bachelors in Computer Science and Engineering from Indian Institute of Technology, Kharagpur (IIT Kgp), where he won the best undergraduate thesis award in 2004.
David is a Ph.D student and research assistant in computer science at the University of Maryland, Baltimore County. Here at UMBC, and previously at the University of Arkansas computer science department, he worked with Dr. Nilanjan Banerjee in the Mobile, Pervasive, and Sensor Systems Laboratory. Prior to becoming a computer scientist, he earned a physics degree with minors in German and mathematics, worked for a structural steel fabricator, and worked for a major trucking company. Whether it is when to use der Konjunktiv II in conversation, or how to drive multi-ton construction machinery, he loves learning new skills, working with all kinds of people, and finding new ways to solve problems.
Sazedul Alam is a PhD student at computer science department at UMBC. He completed M.Sc. in computer science from University of Saskatchewan, Canada and B.Sc. in Computer science and engineering from Bangladesh University of Engineering and Technology (BUET). He is currently working as a Research assistant in Mobile, Pervasive, and Sensor Systems Laboratory (MPSS Lab) at UMBC. He is working on projects related to Human assisted vision, and activity detection. His research interest includes embedded systems, ubiquitous systems, service oriented systems, machine learning, crowd source based systems.
He received his B.S. degree in computer engineering from the University of Arkansas Fayetteville in 2014. In 2011 he joined the MPSS lab (then at the University of Arkansas) to work on renewable power systems in wearable devices. In 2014 he joined UMBC as a graduate student pursuing a Ph.D. in computer engineering. His current research interests include cybersecurity, wearable devices, and renewable energy systems. He is a student member of the IEEE. He is a recipient of the National Science Foundation Scholarship for Service (SFS) and is interested primarily in research on security.
Alex graduated Magna Cum Laude from the University of Arkansas, Fayetteville with his BS in Computer Engineering. A year later he graduated with a 4.0 with his masters in Computer Engineering, focusing on embedded system design and development. Alex began his doctoral work under Dr. Nilanjan Banerjee and Dr. Ryan Robucci in the Fall of 2013. His current research interests include systems development, hardware/software codesign, assistive devices, the Internet of Things, signal processing, wearable computing, and renewable energy driven systems. He enjoys hobby projects especially with the Raspberry Pi platform and woodworking. His other pursuits include reading, playing ultimate, hiking, and generally adventuring with his wife. He is the receipient of the National Science Foundation Fellowship, Honorable Mention.
Stanislav Bobovych is a computer engineering Ph.D. candidate at UMBC. He received a B.S. magna cum laude in computer engineering from University of Arkansas in 2011. His research interests include low power embedded systems and hierarchical processing.
He received the B.Sc. (Hon.) degree in Computer Science and Engineering from the University of Dhaka, Bangladesh, in 2007 and M. Sc. in Logistics Information Technology from the Busan National University, South Korea, in 2011.
In 2011, he joined the department of Computer Science and Computer Engineering, University of Arkansas, as a graduate student for pursuing his PhD and later in 2013 moved to the department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County to continue his PhD. His current research work is to integrate human knowledge with machine intelligence to solve the problems which are difficult for the human or machine alone. His research interest is focused on Human-Computer interaction (mainly using crowd-sourcing) and mobile system usability.
Amitanshu is a graduate student from computer science dept. at University of Maryland Baltimore County. He completed his under graduation from Visvesvaraya Technological University, India. On completion of his degree, he worked at Brillio for 3 years, where he provided mobile solutions to different customers. He has expertise in developing mobile applications for different mobile platforms. His research interests are Home Automation, Mobile and Pervasive Computing.
Piyush Waradpande is a Graduate Student pursuing his Masters degree in Computer Science at UMBC. He is currently working with his advisor Dr. Nilanjan Banerjee on activity recognition using micro radars. He completed his undergraduate education from College of Engineering, Pune. Recently he completed his internship at Mozilla Corporation. Prior to that he has also worked at VMware Inc. as a Software Engineer and at Symantec Corporation as an intern. His areas of interest include Smart Home Automation, Web development and Computer Security.
He is an undergraduate researcher perusing a B.S. degree in Computer Science from UMBC. He is currently involved in researching EEG applications as well as other biometric techniques, for the purposes of analyzing user-biofeedback and for security applications.
Sheung am a Computer Engineering major and a Meyerhoff Scholar at UMBC. He also conducts undergraduate research in textile capacitive sensors, working with Dr. Banerjee and Dr. Robucci. He enjoys the occasional hiking trip at Great Falls, and sailing in the Chesapeake on a hot day.
Sekar Kulandaivel is a Junior Computer Engineering major from Silver Spring, Maryland. He is currently completing research involving the use of low-cost radars for human activity recognition and the detection and mitigation of anomalous behavior in automotive network systems. He receives mentorship and support as a Meyerhoff and NIBIB Scholar towards his pursuit of a Doctorate degree. He has experience working on a self-replicating robot at Johns Hopkins University and has had an internship at Northrop Grumman Corporation. Sekar was a previous URA scholar with Professor John Park and completed a project about alternative control paradigms for RC helicopters. He also won 3rd place at MHacks V in January 2015 for his team project on full-body vibrational haptic feedback with the Oculus Rift and will be travelling to South Korea for an international hackathon in July.
Matt is working on understanding when machine learning algorithms perform better than visualization systems. He is working on real data collected from residential homes.
Randi Williams is currently studying for a B.S. in Computer Engineering from UMBC. In Fall of 2014, she began working in the lab with the capacitive sensor project. She is working with conductive thread and custom PCB boards to build wearable capacitive sensors. At UMBC she is co-founder and Vice President of hackUMBC, a hardware and software development club.
Amol was a M.S. student in Computer Science who worked on the Human-Assisted Vision problem and is now working for Amazon.