iHARP Research Assistants

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last updated 2023 October 31

Meet iHARP’s Research Assistants!

Learn more about the Research Assistants who are powering iHARP’s ground breaking research.


Homayra Alam
UMBC, PhD

Homayra Alam is a first-year Ph.D. Information Systems student at the University of Maryland, Baltimore County. A graduate student researcher of iHARP project under the supervision of Dr. Jianwu Wang. She has done her master’s in electrical engineering from Texas State University. She has also completed her Electrical and Electronics Engineering undergrad from Ahsanullah University of Science and Technology, Bangladesh. Her research interest is in Computer Vision, Machine learning, and Image Processing. Her Master’s research concentrates on Object detection with deep learning. The research goal is to detect accident debris on roads using UAV (Unmanned Aerial Vehicle) and calculate debris perimeter. The application of her thesis is to fasten the cleaning procedure of debris on the road after an accident and ensure human safety.


Tolulope Ale
UMBC, PhD

Tolulope Ale, MSc., is a doctoral student in the information systems department. He obtained a master’s degree in physics from the University of Texas at El Paso in 2021 with a focus on computational biophysics. He is interested in applied Data Science and Machine Learning. Tolu is conducting research in the Data Mining/Machine Learning area under Dr. Vandana Janeja. His interest is in identifying anomalous associations in temporal data that can be further used in predictive analytics. Tolu’s research is focused on mining multivariate anomalous temporal events in the Arctic domain.


Sahara Ali
UMBC, PhD

Sahara Ali, is a PhD candidate in the Information Systems Department at the University of Maryland Baltimore County. She obtained her Masters degree in Information Systems from UMBC in 2022. She has a Bachelors in Computer Science from University of Engineering & Technology Lahore, Pakistan. Presently, she is working, under Dr Jianwu Wang, towards her PhD dissertation involving application of deep learning and causal inference to study climate change using spatiotemporal remote sensing data. At iHARP, she is working on multi-scale deep learning and causal inference techniques to study sea-ice and ice-sheet variations in the Arctic.

Sahara Ali’s Website: https://bdal.umbc.edu/people/sahara-ali/


Maruthi Prasanna Chellatore
Uni. of North Texas, Master’s Student

Maruthi Prasanna is currently working under Dr. Sharad Sharma. He is pursuing his master’s in computer science from Fall 2023 at the University of North Texas. Before that, He was an experienced software professional with a demonstrated history of working in the Information Technology & Services industry. Skilled in Microsoft technologies c#, .Net, .Net Core, .Net MAUI, and Unity. He is part of the DVXR lab and he is working on a mobile application on Time Series Analysis for Detecting Anomalous Behavior using a Mobile Device and an Augmented, Virtual reality project on Crime data analysis, Active Shooter Response and Training which provides training in the emergencies for campus safety.


Maloy Kumar Devnath
UMBC, PhD

Maloy Kumar Devnath is a Ph.D. student in the Information Systems Department at the University of Maryland Baltimore County. His current research focuses on comprehending the melting patterns of sea ice and investigating its implications on the melting of land ice, which is a key factor contributing to the rising sea levels. Maloy is conducting his research in the Artificial Intelligence/Machine Learning area under the supervision of Dr. Vandana P. Janeja and Dr. Sudip Chakraborty. His academic journey began with a BSc degree, and he briefly worked as a Software Developer at Code Crafters International Limited. Following his passion for education, he transitioned to an academic role as a Lecturer at Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj. He is proud to share that, on June 3, 2022, he was promoted to Assistant Professor, reflecting his dedication to teaching.


Subhankar Ghosh
University of Minnesota, PhD

Subhankar Ghosh is a PhD student at the University of Minnesota working with Professor Shashi Shekhar. His previous projects were focused on colocation pattern detection of entities such as retail establishments with statistical guarantees. He is currently working with domain scientists in iHARP on different pattern-mining techniques.

Subhankar’s Website: https://subhankarghosh.github.io/
Google Scholar: Google Scholar – Subhankar Ghosh


Nidhin Harilal
Uni. of Colorado Boulder, PhD

Nidhin Harilal is a Ph.D. student in computer science at the University of Colorado, Boulder. His research is at the intersection of machine learning, computer vision, unsupervised/representation learning, and its applications in Earth and atmospheric sciences. His recent projects have included developments of novel deep-learning methods for high-dynamic range video reconstruction supervised and semi-supervised climate downscaling.


Emam Hossain
UMBC, PhD

Emam Hossain is currently pursuing his Ph.D. in the Department of Information Systems at the University of Maryland Baltimore County. Prior to this, he earned both his Bachelor’s and Master’s degrees in Computer Science from the University of Chittagong, Bangladesh. His research focus encompasses the domains of machine learning, deep learning, and causality. Emam Hossain has established a notable research portfolio in these areas, featuring numerous publications in international journals and conferences. In his role at iHARP, he is actively doing research in investigating the formation dynamics of subglacial lakes within the Greenland Ice Sheet (GrIS) and analyzing their potential implications for future ice mass loss.

Google Scholar: Google Scholar – Emam Hossain 


Yuchuan Huang
University of Minnesota, PhD

Yuchuan Huang is a PhD student in the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities. His research interest is database management systems. Prof. Mohamed F. Mokbel advises Yuchuan.


Atefeh Jebeli
UMBC, Master’s Student

Atefeh Jebeli is a Master’s student at the University of Maryland Baltimore County, interested in Machine Learning and Artificial Intelligence. She intends to work on and study more research on Hotspot Detection on Ice Surfaces/Fine-Grained image detection.


Mansa Krishna
Dartmouth, Bachelor’s of Science

Mansa Krishna previously obtained a B.S. in Applied Mathematics with a Specialization in Computing at the University of California Los Angeles. She is currently a PhD student at Dartmouth, broadly interested in exploring the applications of deep learning models to ice sheet and glacier dynamics.


Chhaya Kulkarni
UMBC, PhD

Chhaya Kulkarni is a PhD student in Information Systems major studying at University of Maryland Baltimore County. Her primary interest lies in spatiotemporal data mining. Her area of focus is on investigating spatiotemporal relationships between ocean and atmospheric variables affecting various polar regions.


Francis Nji
UMBC, PhD


Rishitha Reddy Pesaladinne
Uni. of North Texas, Master’s Student

Rishitha Reddy Pesaladinne is currently working under Dr. Sharad Sharma. She is pursuing her master’s in computer science from Spring 2023 at the University of North Texas. She is an experienced software professional skilled in Microsoft technologies c#, .Net, .Net Core, .Net MAUI, and Unity. She is part of the DVXR lab, and she is working on the Augmented reality and virtual reality project Mobile Augmented Reality Application(MARA) at UNT. This research develops the science needed to enhance mobile augmented reality applications with (a) Situational awareness, (b) Navigation, (c) Evacuation, and (d) Emergency response. This will advance discovery of visualization techniques to permit mobile applications to enhance the viewing of the physical world, while promoting contextualized 3D visualizations, spatial knowledge acquisition and cognitive mapping thereby enhancing situational awareness.


Akila Sampath
UMBC, PhD

Akila Sampath is a PhD student at IS department at the University of Maryland Baltimore County. Her PhD advisor is Prof. Jianwu Wang, and her co-advisor is Prof. Vandana Janeja. Her research focuses broadly on the application of AI to the Arctic climate. She currently works as a research assistant at iHARP. The goal of her thesis work is to build a physics-guided ML model to exploit causalities between Arctic climate phenomena.


Suruthi Selvam
Uni. of North Texas, Master’s Student

Suruthi Selvam is currently working under Dr. Sharad Sharma. She is pursuing her master’s in data science from Spring 2023 at University of North Texas. Prior to that, she has been working as a full stack web developer for 5 years with leading MNC’s in India. She is part of DVXR lab, and she was working on a mobile application which facilitates object detection and emotion detection. She is also interested in Augmented reality and virtual reality projects.


Naomi Tack
UMBC, Master’s Student

Naomi Tack is a first-year master’s student in the Computer Science department at the University of Maryland, Baltimore County. She began researching with iHARP as an undergraduate at UMBC. Her research focuses on applying computer vision techniques for segmentation evaluation and feature development and visualization of radar slices of ice sheet data, called fence diagrams, in an immersive 3D space. Her undergrad initial development of the fence diagrams can be found at: https://ite201b.umbc.edu/greenland_fence_diagrams/.


Ziqi Yin
Uni. of Colorado Boulder, PhD

Ziqi Yin is a PhD student at the Department of Atmospheric and Oceanic Sciences at CU Boulder. He is interested in ice sheet-climate interactions, numerical modeling, and exploring new methods to improve models and our understanding of ice sheets and climate.