PhD student
Mithun Kumar Pk is a PhD Research Fellow at the Department of Computer Science and Engineering at Wright State University, Dayton, Ohio, USA. He was an assistant professor at the Department of Computer Science and Engineering at the World University of Bangladesh. He was a faculty member at this university for 8 years and started his position on 10th November 2014. He has graduated in Computer Science and Engineering from Mawlana Bhashani Science and Technology University. He has about 10 years of research experience in various fields such as Digital Image Processing, Biomedical Image Processing, Machine Learning, Deep Learning, and Bioinformatics. Mr. PK has many international journals and conference publications all over the world. Now, he is a regular reviewer at 9 journals, Some renowned journals are the IET Image Processing (Thomson Reuters Enlisted Journal), IET The Journal of Engineering, The International Arab Journal of Information Technology Thomson Reuters Enlisted Journal, and the International Journal of Biomathematics (Thomson Reuters Enlisted Journal). His current research interests are Biomedical image processing, Machine learning, Deep Learning, Computational biology, hardware Security, Cyber Security, and Embedded Systems.
Master’s student
Ashutosh Ghimire 
Ashutosh is a master’s student and joined the SMART Research Lab as a Graduate Research Assistant in August 2022. He was pursuing a Master of Science in Computer Science from Wright State University. Prior to that, he completed his Bachelor of Engineering, majoring in Computer Engineering, from Tribhuvan University, Nepal, in 2019. Ashutosh has made notable contributions to the field through his publications, including papers presented at the IEEE 16th Dallas Circuits and Systems Conference, MWSCAS 2023 and others. His research focuses on secure and privacy-aware AI hardware, unsupervised IC security using machine learning, and side-channel analysis.
In addition to his academic achievements, Ashutosh has gained practical experience as a Software Engineer previously. He has worked on developing RESTful API-based systems, optimizing performance through architectural changes, and leading project teams. With expertise in Python, TensorFlow, Keras, Go Lang, Kubernetes, and PHP, Ashutosh demonstrates a diverse skill set that bridges research and software development. His commitment to staying updated with the latest technologies and his problem-solving abilities make him a valuable asset.
As Ashutosh continues his journey as a Graduate Research Assistant, he strives to make further advancements in the field of computer science and engineering. His passion for machine learning, hardware security, and cybersecurity, combined with his strong analytical and problem-solving abilities, position him as a promising researcher and future expert in the industry.
To contact Ashutosh Ghimire, you can reach him at ghimire.18@wright.edu.
Niraj Prasad Bhatta 
Niraj Prasad Bhatta joined the SMART Research Lab as a graduate research assistant in the spring of 2023. He is currently pursuing a Master of Science degree in Computer Science Engineering at Wright State University. His research interests revolve around machine learning for DDOS attacks and SRAM PUFs, focusing on hardware security. He is certified in various aspects of machine learning and security. With a track record of publications and a passion for technology, Mr. Bhatta aspires to make impactful contributions to the field of Hardware security.
To contact Niraj Prasad Bhatta, please reach out to him at bhatta.8@wright.edu
Harshdeep Singh 
Singh is pursuing his master’s degree at Wright State University in Dayton, Ohio. He is actively involved in the SMART lab at the university, where he serves as a graduate research assistant under the guidance of Dr. Fathi Amsaad. Harshdeep’s primary research focus is on using machine learning to enhance hardware security, mainly through SRAM PUF authentication. Within his master’s program, Harshdeep specializes in Artificial Intelligence, Artificial Neural Networks, Deep Learning, and Machine Learning. He aspires to make a meaningful contribution to the field of Information Technology by developing solutions that can bolster the security of future Integrated Circuit (IC) authentication chips. Harshdeep has demonstrated his commitment to this goal by publishing five research papers in reputable academic publications. Looking ahead, he dreams of working with global tech giants like Google, where he hopes to leverage his expertise and passion for machine learning to make significant contributions to the software industry.
To contact Harshdeep Singh, please reach out to him at singh.276@wright.edu
Brian Hildebrand
Brian Hildebrand is a Ph.D. student at Eastern Michigan University (EMU) in the School of Information Security and Applied Computing, working under Dr. Fathi Amsaad. He earned his Master’s degree in Computer Science from EMU in 2019. Brian’s research focuses on Quantum Communication and Security, particularly interested in applying quantum encryption to enhance the security of electronic voting (e-voting) platforms. He is currently working on his doctoral dissertation, which involves the development of a secure e-voting platform utilizing quantum encryption.
Brian has contributed to the academic community through his publications. One of his notable works is “Blind Signature Schemes for Secure and Trusted Electrical Voting and Cashing Systems in Security and Resilience of Cyber Physical Systems”. Additionally, he has authored a comprehensive review on blockchains for the Internet of Vehicles, exploring challenges and directions in this field. Brian also worked on a publication titled “Challenges and Directions and Recent Advances in Quantum Networks: Design, Reliability and Security and Trust”.
As an educator, Brian has taught several courses at EMU. He instructed the Human-Computer Interaction (IT319) course in both the winter of 2022 and 2023. In the fall of 2022, he taught the Web Publishing Technology (CMT 421) course. Furthermore, in the same semester, Brian taught the Managing Virtualization and Cloud Computing (IT 356) course.
To contact Brian Hildebrand, you can reach him at bhildeb1@emich.edu.
Mohammed Alkurdi 
Mohammed Alkurdi is a driven individual pursuing a Master’s degree in Cybersecurity at Wright State University. With a strong background in the Financial Technology Field as a Manual Testing QA Engineer at a prominent bank in the Palestinian Territories for four years, Mohammed brings practical industry experience to his academic pursuits. His work as a QA Engineer involved ensuring the seamless operation of the Credit Card CMS and its interconnected systems, effectively communicating issues to third-party providers and colleagues. Holding a Bachelor’s degree in Computer Science, Mohammed’s proficiency extends to Python, JavaScript, HTML, and CSS. As a Graduate Research Assistant under the guidance of Dr. Fathi Amsaad, Mohammed eagerly immerses himself in advanced studies and research, fueling his passion for making meaningful contributions to the field of cybersecurity.
To contact Mohammed Alkurdi, you can reach him at alkurdi.2@wright.edu.
Tashfi Nowroz
Tashfi Nowroz is pursuing his Master’s degree in Computer Engineering while serving as a Graduate Research Assistant(GRA) at Dr. Amsaad’s Lab. His research areas include Hardware Security and trust, Side Channel attack & defense, Embedded AI, and such.
He obtained his Bachelor’s degree in Electrical Engineering from Ahsanullah University of Science and Technology (AUST), Bangladesh, in August 2021.
He holds two years of professional experience as an ‘Embedded and Automation Engineer’ at Sincos Automation Technologies Limited. His responsibilities included Firmware Development for IIoT/Embedded Systems, Industrial CoBots, and Machine Vision Systems. He was also actively involved in PCB design, testing processes & electronics sourcing.
His interests and expertise lie in the areas of Embedded Systems & IoT, Firmware Development, Signal Processing, Industrial Automation, Robotics, Satellite Communication & 3D Printing.
For more information about his projects and contributions, visit his GitHub profile: https://github.com/TNeutron. You can also connect with him on LinkedIn: https://www.linkedin.com/in/tnowroz/.
Habeeb Tunde Sanni
Habeeb Tunde Sanni is a master’s student in Industrial Engineering at Wright State University. I am a graduate student researcher at Computer Science and Engineering working under the supervision of Dr. Asmaad Fathi. My research work is Using Machine Learning for Temperature Control in Automotive Battery Packs with Printed circuit Boards and Sensors for Lithium-Ion Cells. I completed my bachelor’s degree in Material science and engineering from the University of Lagos, Nigeria. Before pursuing my master’s, I worked as a logistics and operation engineer at Madrin Construction Limited, Nigeria. I also have experience working in the Aviation industry specializing in Aerodrome and airspace. In my free time, I enjoy traveling, Soccer, and watching Adventure movies.
Alumni
Vishnu Vardhan Baligodugula
Vishnu Vardhan Baligodugula is a highly motivated individual specializing in Computer Science and Engineering. He obtained his MS Thesis degree from Wright State University in 2023, focusing on Machine Learning, Parallel Programming, and Distributed Computing.
Throughout his academic journey, Vishnu has excelled in understanding complex algorithms and emerging technologies. His research in Machine Learning has led to innovative solutions and advancements in the field. His practical expertise lies in designing and implementing scalable systems using Parallel Programming and Distributed Computing. He is committed to staying at the forefront of technological advancements and actively seeks opportunities to expand his knowledge and skills With excellent communication and teamwork skills, Vishnu collaborates effectively with colleagues, sharing his expertise and mentoring aspiring computer scientists.
Driven by a passion to make a meaningful impact in the field of Computer Science and Engineering, Vishnu aims to contribute to the development and deployment of innovative solutions that leverage Machine Learning, Parallel Programming, and Distributed Computing to address real-world challenges. With his solid foundation and unwavering dedication, Vishnu is poised to drive technological advancements and shape the future of technology.