Dr. Miad Faezipour

Dr. Miad Faezipour is an associate professor of electrical and computer engineering technology at the School of Engneering Technology, Purdue University. She is also jointly appointed with the Regenstrief Center for Healthcare Engineering (RCHE) at Purdue University. She is the founder and director of the Digital/Biomedical Embedded Systems and Technology (D-BEST) research laboratory. Her research interests primarily include healthcare technology with embedded intelligence, digital/biomedical embedded hardware/software co-designs, biomedical signal/image processing, computer vision, healthcare/biomedical informatics, artificial intelligence and AI-based bio-data augmentation. She is a Senior Member of IEEE, EMBS and the IEEE Women in Engineering.

Email: mfaezipo@purdue.edu

Dr. Smriti Bhatt

Dr. Smriti Bhatt is an Assistant Professor of Cybersecurity in the Department of Computer and Information Technology at Purdue University. She has received her Ph.D. and M.S. in Computer Science from the University of Texas at San Antonio and did her doctoral research at the Institute for Cyber Security (ICS) and NSF CREST Center for Security and Privacy Enhanced Cloud Computing (C-SPECC). Dr. Bhatt's research focuses on security and privacy in the Internet of Things (IoT) and Cyber-Physical Systems (CPS) leveraging Cloud and Edge Computing. Her research interests also include the application of AI and Machine Learning to secure IoT and CPS infrastructures in various application domains, such as Smart Health, Smart Home, and Wearable IoT. Some of her current research work includes access control models, secure data communication, and anomaly detection for different domains in Cloud-Enabled IoT. She has several conference and journal publications, and also continually serves as an expert reviewer for various journals and technical program committees for several conferences and workshops.

Email: smbhatt@purdue.edu

Dr. Hoda Salsabili

Dr. Hoda Salsabili is a Visiting Scholar and Physical Therapist at D-BEST Lab. She received her Ph.D. in Human Motion Control from Purdue University and has been a Post-Doctoral Researcher at Northwestern University. Her areas of specialization are human motion control, physical therapy, balance control and diabetes neuropathy. Her research contributes to characterizing the behavioral, cognitive and biomechanical aspects of physical activity for various diseases and physiological conditions.

Email: hsalsabi@purdue.edu

Shiva Shokouhmand

Shiva is a Ph.D. student at the School of Engineering Technology at Purdue University. She received her B.Sc. in Radiology Technology from Mashhad University of Medical Science and M.Sc. in Electrical Engineering from K. N. Toosi University of Technology in 2016 and 2021, respectively. Her research interests include biomedical signal processing, speech processing, natural language processing, and the applications of machine learning in healthcare monitoring systems.

Email: sshokouh@purdue.edu

Md. Motiur Rahman

Motiur is pursuing his Ph.D. in Engineering Technology at Purdue University, mainly focusing on Machine Learning (ML) in Healthcare Technology. He received his B.Sc. in Computer Science and Engineering from Patuakhali Science and Technology University, Bangladesh in 2016 and M.Sc. in Computer Science and Engineering from Dhaka University of Engineering Technology, Bangladesh. He has also been serving as an assistant professor at the Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh. His research interests include ML in healthcare technology, biomedical informatics, NLP, computer vision, and data analytics.

Email: rahma112@purdue.edu

Saeka Rahman

Saeka is pursuing her Ph.D. in Electrical and Computer Engineering Technology at the School of Engineering Technology, Purdue University. She earned the M.Sc. in Artificial Intelligence majoring Engineering and Computer Science from KU Leuven, Belgium. Prior to this, Saeka completed her B.Sc. and M.Sc. in Applied Physics, Electronics and Communication Engineering from the University of Dhaka, Bangladesh. Her current research interests include applications of artificial intelligence and machine learning in the healthcare sector. She is a member of IEEE.

Email: rahma122@purdue.edu

Ardavan Vakil

Ardavan is pursuing his Ph.D. in Engineering Technology at Purdue University. His background is on deep neural network accelerators, and his current research focus is on brain-on-the-chip, neuronal spiking models, brain inspired computing, and AI integrated hardware in healthcare applications. He is passionate about AI from both hardware and software perspectives.

Email: avakil@purdue.edu

Aidan J. Prendergast

Aidan is an undergraduate researcher pursuing the B.S. degree in Electrical Engineering at Purdue University. His research is focused on neuromorphic architectures for brain inspired computing.

Email: ajprende@purdue.edu

Saif A. Akram

Saif is an undergraduate student pursuing the B.S. degree in Electrical Engineering Technology at Purdue University. His research is focused on AI and healthcare technologies in collaboration with D-BEST lab.

Email: sakram@purdue.edu

Aaron Parihar

Aaron is an undergraduate student pursuing the B.S. degree in Computer Engineering Technology at Purdue University. His research is focused on AI and healthcare technologies in collaboration with D-BEST lab.

Email: apariha@purdue.edu

Manav F. Shah

Manav is an undergraduate student pursuing the B.S. degree in Computer Engineering Technology at Purdue University. His research is focused on AI and healthcare technologies in collaboration with D-BEST lab.

Email: mfshah@purdue.edu

Corbin J. Newhard

Corbin is an undergraduate researcher pursuing the B.S. degree in Electrical Engineering Technology at Purdue University. His research is focused on digital embedded systems, edge computing and AI-based secure health monitoring at the edge.

Email: cjnewhar@purdue.edu

Xiaxin Shen

Xiaxin is an undergraduate researcher pursuing the B.S. degree in Computer Information Technology at Purdue University. Her research is focused on machine learning, security, robotics, computer vision, and reinforcement learning for AI-based secure health monitoring at the edge.

Email: shen452@purdue.edu

Dr. Abdelshakour Abuzneid

Dr. Shakour Abuzneid received B.S. in engineering degree with honors in Computer and Control Engineering from the Faculty of Engineering, Yarmouk University, and M.S. Degree in Computer Engineering from the School of Engineering, University of Bridgeport. He received Ph.D. in Computer Science and Engineering from the University of Bridgeport. He is currently an Associate Professor of Computer Science and Computer Engineering at the Universty of Bridgeport, the Director of Systems and Engineering Laboratories and the Associate Dean for international initiatives at the University of Bridgeport. He is the founder and director of the Emerging Communications Technologies Research Center at the University of Bridgeport. His background and research interest are in the fields of computer science and engineering, computer communications, networks, computer, cyber and networks security, wireless and mobile communications, the Internet-of-Things, Machine-to-Machine communications, cloud computing and virtualization, control theory, robotics, and automation.

Email: abuzneid@bridgeport.edu

Dr. Omar Abuzaghleh

Dr. Omar Abuzaghleh is an Assistant Professor of Engineering and Technology at the University of Bridgeport. His research interests are in the areas of Medical Image Analysis, High Performance Computing, Big Data, Network Security, and Cloud Computing. He is a member of several professional organizations and specialty labs, including: ACM, IEEE, International Honor Society for The Computing and Information Disciplines (UPE), and the Digital/Biomedical Embedded Systems and Technology (D-BEST) Lab.

Email: oabuzagh@bridgeport.edu

Mohammad Daneshzand

Mohammad Daneshzand has been a PhD student of Computer Science and Engineering at the University of Bridgeport. He received a bachelor degree in Electrical Engineering from Semnan University, Semnan, Iran in 2009 and an M.Sc in Bio Electric Engineering from University of Tehran, Tehran, Iran in 2012. He worked as a lecturer at Shahid Beheshti Vocational Institute from 2012 to 2014 focusing on Electrical and computer engineering courses such as Digital Design, Circuit and System, Electronics and Biomedical Image and Signal Processing. His research involves Computational Neuroscience: Mathematical model of brain spiking neurons in normal condition and due to Parkinson's Disease, Deep Brain Stimulation (DBS), Transcranial Magnetic Stimulation (TMS), Neural mass models and implementation of neurons spiking pattern on FPGA Digital boards. His other interests include Biomedical Signal and Image Processing: Prediction of epileptic seizures based on multi-channel EEG signal, MRI, Wavelet for medical application, Image assisted drug delivery and Tumor detection via image processing techniques as well as System Identification & Pattern Recognition: Medical data Classification, Fuzzy Logic for medical application, Computational reduction using classification algorithm & mutual information.

Email: mdaneshz@my.bridgeport.edu

Dr. Mohammad Daneshzand graduated in May 2019.

Currently: Research Fellow in Radiology, MGH, Harvard Medical School.

Khald Ali I. Aboalayon

Khald Ali I. Aboalayon was awarded a scholarship by the Ministry of Higher Education of Libya to pursue a PhD at the University of Bridgeport. In 2000, he got a B.Sc. in Computer Science from Sebha University in Libya. After graduating, he worked as a computer systems engineer at AlJufra High Center of Polytechnics. In 2005, after receiving a M.Sc. in Computer Science with a focus on intelligent systems from the University Utara Malaysia (UUM), he worked as an assistant lecturer at the Department of Computer Science, Faculty of Science in Sebha University, specializing in the area of Artificial Intelligence technology and related fields.

Khald joined the Computer Centre at Sebha University as a part-time consultant in area of data mining researcher. He completed a thorough study evaluating the training performance of classifiers in terms of Root Mean Square Error (RMSE), training time and complexity. The study was based on different data sets that were obtained from the University of California, Irvine (UCI) machine learning database and tested by the WEKA software machine learning tools.

Khald's current research deals with biomedical signal processing (EEG/ECG), machine learning, classification and digital hardware implementations.

Email: kaboalay@my.bridgeport.edu

Dr. Khald Aboalayon graduated in Dec. 2016.

Currently: Post-Doctoral Researcher, University of Bridgeport, CT, USA.

Ali Al Essa

Ali Al Essa has been a PhD student in Computer Science and Engineering at the University of Bridgeport. Ali received his bachelor's degree from the College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia in 2004, and his Master's degree from Western Illinois University, Macomb, IL, USA in 2008. Ali used to work as an instructor at the Institute of Public Administration, Riyadh and Arab Open University, Saudi Arabia. He is a member of Golden Key International Honor Society and the International Honor Society for The Computing and Information Disciplines (UPE). Ali's research interests include Medical Data Mining and Analytics, parallel computing and database management systems.

Email: aalessa@my.bridgeport.edu

Dr. Ali Alessa graduated in Dec. 2018.

Currently: Assistant Professor at the Institute of Public Administration (IPA), Riyadh, Saudi Arabia.

Mohammad Aloudat

Mohammad Aloudat has been a PhD student in computer science and engineering. at the University of Bridgeport, Bridgeport, CT, USA. He received the B.S. degree in Computer Science from Yarmouk University, Jordan, in 2004, and the M.S. degree in Information Technology from Universiti Utara Malaysia, Sintok, Kedah, Malaysia in 2007. He has been a Research/Graduate Assistant at the School of Engineering, UB, and a research member of D-BEST lab. His research interests are mainly in biomedical image processing and human-computer interfaces.

Email: maloudat@my.bridgeport.edu

Dr. Mohammad Aloudat graduated in Dec. 2018.

Razan Abdulhammed

Razan Abdulhammed pursued her Ph.D. in Computer Science and Engineering at the University of Bridgeport, CT. Her research interests include computer networks, network security, and methods and architecture for network intrusion destection. She is a student member of the ACM, and IEEE professional societies.

Email: rabdulha@my.bridgeport.edu

Dr. Razan Abdulhammed graduated in May 2019.

Laiali Almazaydeh

Laiali Almazaydeh has been a Ph.D. student of Computer Science and Engineering at the University of Bridgeport. She received a B.S. in Computer Science from Al Hussein Bin Talal University and an M.S. in Computer Information Systems from the Arab Academy for Banking and Finance Science in 2003 and 2007, respectively. She worked as an instructor at Al Hussein Bin Talal University (2004 - 2008). She has been awarded scholarship from Jordan for pursuing PhD studies.

In February 2011, Almazaydeh was invited to the United Nations in Manhattan to lead panels aimed at attracting more women into the field of science and technology. The American Association of University Women asked her talk to about the status of women and girls rights globally, in celebration of the 100th anniversary of International Women's Day.

Recently, Laiali has also been awarded financial scholarship from Upsilon Pi Epsilon, the international honors society for computing and information sciences. She was selected based on her superlative academic record, extracurricular activities, and recommendations from academic advisers. Laiali's research interests are in wireless sensor networks and Human Computer Interaction.

Email: lalmazay@bridgeport.edu

Dr. Laiali Almazaydeh graduated in May 2013.

Currently: Associate Professor of Computer Science at Al-Hussein Bin Talal University, Jordan.

Amer Al-Rahayfeh

Amer Al-Rahayfeh has been a Ph.D. student of Computer Science and Engineering at the University of Bridgeport. He received a B.S. in Computer Science from Mutah University in 2000 and an M.S.in Computer Information Systems from The Arab Academy for Banking and Financial in 2004. He worked as an Instructor at The Arab Academy for Banking and Financial from 2006 - 2008.

Amer's research interests are in Wireless multimedia sensor
networks and multimedia database systems.

Email: aalrahay@my.bridgeport.edu

Dr. Amer Al-Rahayfeh graduated in July 2014.

Currently: Assistant Professor of Computer Science at Al-Hussein Bin Talal University, Jordan.

Ahmad Abushakra

Ahmad Abushakra has been a Ph.D. candidate majoring in Computer Science and Engineering at the University of Bridgeport. Abushakra received his B.S degree in Management Information System from Philadelphia University in 2004 and his M.S. degree in Management Information System/E-Business from the Arab Academy for Banking and Finance Science in 2007. After graduating he worked for The Arab Education Forum as Web Developer until August 2008. In September 2008, he became an Information Technology Manager for The Arab Education Forum.

Abushakra has been a Research Assistant and Graduate Assistant in the School of Engineering at the University of Bridgeport since September 2010. His research interests are in the areas of Smart Phones, Virtual Reality, Mobile web application and web technologies.

Email: aabushak@bridgeport.edu

Dr. Ahmad Abushakra graduated in July 2013.

Currently: Assistant Professor of Information Technology in Sohar College of Applied Sciences, Oman.

Ammar M. Odeh

Ammar M. Odeh has earned the M.S. degree in Computer Science College of King Abdullah II School for Information Technology (KASIT) at the University of Jordan in Dec. 2005 and the B.Sc. in Computer Science from the Hashemite University. He has worked as a Lab Supervisor in Philadelphia University (Jordan) and Lecturer in Philadelphia University for the ICDL courses and as technical support for online examinations for two years. He served as a Lecturer at the IT, (ACS,CIS ,CS) Department of Philadelphia University in Jordan, and also worked at the Ministry of Higher Education (Oman, Sur College of Applied Science) for two years. Ammar joined the University of Bridgeport as a PhD student of Computer Science and Engineering in August 2011. His area of concentration is reverse software engineering, computer security, and wireless networks. Specifically, his research interests include stegonagraphy and enhancing computer security for data transmission over wireless networks. He has also been actively involved in academic community, outreach activities and student recruiting and advising.

Email: aodeh@my.bridgeport.edu

Dr. Ammar M. Odeh graduated in May 2015.

Currently: Assistant Professor of AlMaarefa Colleges for Science and Technology, College of Applied Sciences - Computer Science and Information Systems Department, Saudi Arabia.

Salam Al Khammasi

Salam graduated with a M.S. in Computer Engineering from the University of Bridgeport in May 2015.

Email: salkhamm@my.bridgeport.edu

Thesis: Hardware-Based FIR Filter Design and Implementations For ECG Signal Denoising.

Wafaa S. Almuhammadi

Wafaa graduated with a M.S. in Computer Science from the University of Bridgeport in May 2015.

Email: walmuham@my.bridgeport.edu

Thesis: Efficient Obstructive Sleep Apnea Classification Based on EEG Signals.

Currently with MEA Mobile, New haven, CT, USA.

Dheyaa Alhelal

Dheyaa graduated with a M.S. in Computer Engineering from the University of Bridgeport in Dec. 2014.

Email: dalhelal@my.bridgeport.edu

Thesis: Denoising and Beat Detection of ECG Signal By Using FPGA.

Omar Yahya

Omar graduated with a M.S. in Computer Engineering from the University of Bridgeport in May 2014.

Email: oyahya@my.bridgeport.edu

Thesis: Automatic Detection and Profiling Classification of Acoustic Breathing Phases.

Helen T. Ocbagabir

Helen T. Ocbagabir has been a M. S. Student in the Department of Electrical Engineering at the University of Bridgeport. She received her B.S. in Electrical Engineering from University of Asmara, Eritrea in 2008. Helen worked as Graduate assistant in Eritrea Institute of Technology from a year before her graduation, 2007- 2011.
Helen's interest area is in the areas of embedded systems application in Biomedical Engineering concentrating in Bio-telemetry.

Email: hocbagab@bridgeport.edu

Helen T. Ocbagabir graduated in July 2013.

Thesis: Efficient EEG Analysis for Seizure Monitoring in Epileptic Patients.

Currently with Mathworks Inc., Natick, MA, USA.

Sarah Michels

Sarah graduated with a B.S. in Computer Science from the University of Bridgeport in May 2013. Sarah received the Undergraduate Fellowship from the CT Space Grant Consortium in Spring 2013 for her involvement in D-BEST lab's research.

Email: smichels@my.bridgeport.edu

Currently Software Engineer at Morgan Stanley, NY, USA.

The Digital/Biomedical Embedded Systems & Technology (D-BEST) research lab at Purdue aims to advance the integration of biomedical signal/image processing, deep/machine learning and AI in healthcare research areas with digital/embedded system designs and implementations.

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