At the end of the Spring 2018 semester, a year of creativity, diligence and continuous improvement by the senior design students in the School of Engineering and Computing Sciences culminated in the presentations of their final senior design projects to the faculty.

Under the supervision of Dr. Nabi Sertac Artan, Dr. Ziqian Dong, Dr. Anand Santhanakrishnan, Dr. Chris Wernicki, and Dr. Reza Amineh, the electrical and computer engineering students designed and presented their projects, which included an eye/head controller, an electromyography and tension glove, an EMG controlled robotic arm, an autonomous pedestrian accident prevention system, a military special joints forces kopter, and more.

Jayson Escalera, Priyank Kashyap, Weiyi Lan, Pengcheng Miao and Travis Shiwji designed the eye/head controller to help individuals suffering from paraplegia and arthritis by providing them with a solution to combat the daily problems caused by the inability to use their limbs or difficulty of moving their limbs to make precise actions. The team used the controller to control a toy card in order to demonstrate the capabilities of the controller. Eye tracking measures the eye movement using either a remote or mounted tracking system while head tracking is used to determine the location of the user’s head in a predefined location space.

The Military Special Joints Forces Kopter is a collision avoidance drone with autonomous behavior designed by Muhammad Bhatti, Mohammad Mondol, Simranjeet Chadha, Pretpal Singh, and Adrian Bennett. The students’ goal was to use their knowledge of control systems, microcontrollers, and other engineering principles to create a functioning drone that had the ability to auto-level itself when disturbed by an external force and avoid any collisions when an obstacle was within its proximity range.

Another project, the Smart-Glove, was designed by Vitaliy Vorobets, Xiaoyue Che, Zijian Han, Firas Rajab, Richard Madden, and Shilei Miao. The Electromyography and Tension Glove is designed to replace the use of an analog stick as a controller. The team used the glove to control a remote robotic arm in order to pick up a small cup of water and hold it. The act of holding the cup of water remotely with the sensors and glove without spilling shows the accuracy of the EMG and Tension sensors’ ability to read muscle movement and finger pressure and provides a simulation of how the controller is an extension of a person’s own arm and can do everyday tasks.

NYIT’s computer science students also designed and presented their projects, which included a mobile application for improved restaurant management, network aware defenses for intrusion recognition and response, usable mobile authentication for touchscreen devices, a landmark and facial emotion recognition app, a commute planning application, and more. Dr. Houwei Cao, Dr. Paolo Gasti, Dr. Jonathan Voris and Dr. Wenjia Li advised the seniors.

Mahbubur Rahman, Atif Hussain, and Zhicong Ou designed an application designed to serve as a travel companion for users in the New York City area. Using several Google APIs, from Maps, Directions, Places, and Geocoder, and the Metropolitan Transit Agency’s Real Time GTFS feeds, Commutr aggregates transit information and handles all the needs a commuter may have, including features such as trip planning and real time alerts of service changes.

Another project called TableServe was designed by William Carr and Scott Paillant. The application serves as a tabletop ordering and inventory tablet application developed exclusively for restaurant use. The application takes use of three roles: customer, employee, and manager accounts. These roles are used to direct each user to the correct parts of the app that they have authorization to access. Customers can create profiles to store their favorite orders and sign up for restaurant rewards. Menus will be visible to customers at their table and can fully customize their orders in alignment with their specific diets, dietary restrictions, and allergies. Restaurant inventory is automatically and instantaneously updated as customers order food. This gives the managers the ability to quickly monitor inventory and determine which menu items are popular and which should be removed.

See full list of senior design projects and graduate theses below.

• EMG Controlled Robotic Arm (Advisor: Dr. Artan)
• Head/Eye Controlled Car (Advisor: Dr. Artan)
• A.U.T.O. (Autonomous Utility Table Operator) (Advisor: Dr. Artan)
• M.S.J.F.K. – Military Special Joint Forces Kopter (Advisor: Dr. Dong)
• Autonomous Pedestrian Accident Prevention (Advisor: Dr. Santhanakrishnan)
• Autonomous Vehicle Squadron (Advisor: Dr. Santhanakrishnan)
• MARC CIAM (Mapless automatic remote control car in a maze) (Advisor: Dr. Santhanakrishnan)
• Underground imaging robot (Advisor: Dr. Amineh)
• Defect imaging in metals (Advisor: Dr. Amineh)
• Cylindrical imaging setup (Advisor: Dr. Amineh)
• Self-aligning coils for wireless power transfer (Advisor: Dr. Amineh)
• Optical Vehicular communication (Advisor: Dr. Santhanakrishnan)
• Optical GHz oscillators - Bosonic Approach by Havneet Singh, Pallavi Katta, and Manideep Choudary Yaramasu (Advisor: Dr. Wernicki)
  
• OEO Design Using Optic Phase Modulation and Modulation Suppression Fiber Optical GHz oscilators by Sapan Amin, Mamtakumari Chauhan , and Vatika Manojkumar Dalal (Advisor: Dr. Wernicki)
  
• Eventure by Lucas Padden, Marco Roveto, and Mark Saravia (Advisor: Dr. Cao)
  
• LastMinute by Sekani Millette, Ishrat Mowla, Jonathan Sanchez, and Catrina Yee (Advisor: Dr. Gasti)
  
• Commutr: A NYC Publication Transportation Application on Android Platform by Atif Hussain, Zhicong Ou, and Mahbubur Rahman (Advisor: Dr. Li)
  
• EnCircleMe by Hasan Arani, Sujaiy Harish Shivakumar, Gurpreet Singh, and Brayden Sorenson (Advisors: Dr. Li and Dr. Cao)
  
• A Context-aware Restaurant Recommendation App on Android Platform by Xiaolei Li, Chenjia Qian, Jiangwei Qin, and Bo Wei (Advisor: Dr. Li)
  
• Let’s Go: Event Planning Android App by Anirudh Rajesh Parmar, Jay Ghanshyambhai Patel, Priyaben Bipinbhai Patel, Surbhi Ishwarbhai Patel, and Komal Kamleshkumar Ray (Advisor: Dr. Li)
  
• Improving Building Energy Efficiency using Internet of Things and Mobile Crowdsensing by Qing Wang and Yifan Wang (Advisor: Dr. Li)
  
• Preceptor App: A Lankmark and Facial Emotion Recognition App on iOS Platform by Sravya Gutta and Sugat Maruti Nagavkar (Advisor: Dr. Li)
  
• Sentimental Analysis for Social Network Platform by Rushi Pandya and Smit Shah (Advisor: Dr. Li)
  
• Travelomate: A Travel Assistance App on Android and iOS Platforms by Dhruv Patel and Diparth Patel (Advisor: Dr. Li)
  
• Malicious Attack Detection for Mobile Ad Hoc Networks by Yunjie Qian (Advisor: Dr. Li)
• A Mobile Application for Improved Restaurant Management by William Carr, Malcolm Lovell, Scott Paillant and Aleksandr Skidelskiy (Advisor: Dr. Voris)
  
• Network Aware Defenses for Intrusion Recognition and Response by Yash Jayeshbhai Patel and Nont Assawakomenkool (Advisor: Dr. Voris)
  
• Usable Mobile Authentication for Touchscreen Devices (Advisor: Dr. Voris)
• Detection of Smartphone Change of Possession and Non-possession Events by Keyvan Chamani (Advisor: Dr. Gasti)
  
• TryOn – An Android App with AR Implementation by Nidhi Desai and Rakshitha Dashaguna (Advisor: Maherukh Akhtar)