Samit ShivadekarChair

Samit Shivadekar is serving as a Chair for UMBC ACM Student Chapter. Before joining the Ph.D. program at UMBC, Samit received his Master’s in Computer Science from California State University Fullerton. His research interests lie primarily in exploring the latest advances in machine learning from data that are distributed, streaming, or both distributed and streaming and for focusing many of the open challenges that remain to be solved for the broad adoption of machine learning tools across a large number of industries that are expected to routinely deal with large volumes of distributed and/or streaming data sets. He, along with other ACM committee members is eagerly looking forward to conduct various ACM activities for this academic year like Tech-talks, workshops, coding challenges etc.

Ambrose Gonsalo TuscanoVice-Chair

Ambrose Tuscano is currently pursuing his Master’s in Computer Science at UMBC. His research interests are inclined towards the Machine Learning and Data Science domain. He believes that complex problems can be solved by a lot of thought work and subsequent efficient coding. Eager to learn, grow, and challenge himself, he’s always open to new and interesting experiences that lie both within and outside of his comfort zone.
As a Vice-Chair for ACM Student Chapter, he aims to support a platform with the team to plan and collaborate on events to foster interaction between students, faculty, and alumni; and thus provide an environment where individuals can have access to guidance for research ideas and network with other motivated fellows.

Fahad Siddiqui, Secretary

Fahad Siddiqui is currently pursuing his PhD in Computer Science focusing on application of machine learning to health and wearables technology, primarily in the space of sleep-related disorders. Formerly, he has worked in areas of quantitative analytics in public and private equity and credit markets across the globe. He is interested in advancing new ventures in the space of fintech, having advised several
startups in India. He aims to support the ACM committee in conducting activities geared towards greater collaboration among students and enable exchange of ideas as well as provide access to mentorship and networking

Jayalakshmi Mangalagiri, Treasurer 

Jayalakshmi Mangalagiri, is currently pursuing her PhD in computer science at UMBC. She is working under Dr.David Chapman and her research interests lie in the area of Medical imaging using Machine learning models and computer vision techniques. Prior to joining UMBC, she earned her Master’s degree in Computing and Information Systems and has professional IT experience in the area of software engineering/software development and testing.

Sravani Varanasi, Historian

Sravani Varanasi is currently pursuing her Ph.D. in Computer Engineering at UMBC. She is working under Dr. Fow-Sen Choa. Her research interests focus on a better understanding of brain functionality using machine learning algorithms. Currently, she is working on a feedback neural network model which potentially explains how the human brain actually learns.
As the Chair of ACM, she aims to create a platform where graduates, undergraduate students, and the faculty can come together and explore their research interests and collaborate to work towards their ideas. She plans on organizing hi-tea events on a bi-weekly basis which will also include tech-talks, alum meets, coding challenges, etc.