About Me

Currently, an Associate Professor in the Department of Electrical and Computer Engineering, which I have diligently built from ground-up, along with my colleagues since its inception in 2016. My research investigates Generalizations of Deep Learning in Wireless Communications, Blockchain for Distributed Sensing, Interference Cancellation for Passive Spectrum Users and Architectures for Software Defined Radios. My work is primarily funded by awards from the National Science Foundation, including the NSF CAREER and multiple awards under the NSF-SWIFT program, AFRL Visting Faculty Research Program and NorthEast Microelectronics Commons Hub.

My academic journey humbly began in Kolkata, India , which has taken me across many insitutions and beautiful campuses, from doctoral studies at Boulder, CO, to postdoctoral experience at Princeton, NJ and faculty postion at Lawrence, KS, to finally anchor at The University at Albany SUNY. Along the way, I have been fortunate to be mentored by great minds and thought leaders who taught me the value of hardwork, discipline and to aim higher.

Research and Funding

While a decent portion of my current research portfolio is driven by active grants and awards, I am constantly venturing into newer areas such as but not limited to waveform design for spatio-temporal channels for Reconfigurable Intelligent Surfaces, Low SWAP ReRAM based Neural Network architecture for wireless communication and wireless physical layer zero-knowledge proof systems.

NSF-CAREER: Generelizing Deep Learning for Wireless Communication (2022-2027)

NSF-SWIFT: Collaborative Interference Cancellation for Radio Astronomy (2021-2024)

NSF-SWIFT: SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services (2022-2025)

NSF-CRI: CHRONOS: A Cloud based Hybrid RF-Optical Network Over Synchronous Links (2018-2023)

DoD-NORDTECH: Low SWaP analog in-memory enabled transfer learning for edge applications (Under Review)

Enforcing Radio Dyanmic Zone with Blockchain (Under Review)

CORPUS: Collaborative ORAN for Passive User Services (Under Review)

Selected Publications

  • Z. Zou and A. Dutta, ”Learning to Decompose Asymmetric Channel Kernels for Generalized Eigenwave Multiplexing,” in IEEE Conference on Computer Communications (INFOCOM), Vancouver, Canada, 2024
  • T. Asgari and A. Dutta, ”Architecture and Benchmark of an Experimental CRAN Platform over CPRI,” in IEEE Conference on Computer Communications (INFOCOM), Vancouver, Canada, 2024
  • M. A. Abdul Careem, Z. Zou, A. Dutta, N. Thawdar, “Unified Characterization and Precoding for Non-Stationary Channels”, in ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022 [Best Paper Award].
  • M. A. Abdul Careem, J. Gomez, D. Saha and A. Dutta, “RFEye in the Sky”, in IEEE Transactions on Mobile Computing, vol. 21, no. 7, pp. 2566-2580, 1 July 2022.
  • M. A. Abdul Careem, S. Chakaborty, A. Dutta, D. Saha, G. Hellbourg, “Spectrum Sharing via Collaborative RFI Cancellation for Radio Astronomy”, in 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Los Angeles, 2021 [Best Paper Award].
  • M. A. Abdul Careem, A. Dutta, ”Reputation Based Routing in MANET using Blockchain”, in 2020 12th IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, 2020 [Best Paper Award].
  • M. A. Abdul Careem, A. Dutta, “SenseChain: Blockchain based Reputation System for Distributed Spectrum Enforcement”, in 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Newark, 2019.

Teaching

Level Course Name and Number Semesters Taught Course Materials
Graduate Advanced Digital Communications S’18, S’20, S’21 Lecture Slides
Probability and Random Processes F'19 Lecture Slides
Internet of Things S’16, F’16 Lecture Slides
Undergraduate Signals and Systems F’21, F’22, F’23 Lecture Slides
Communication Systems F’20, S’22, S’23, S’24 Lecture Slides
Computer Communications Network F'15, F'17 Lecture Slides

Mobile Emerging Systems and Applications (MESA) Lab

I co-direct the MESA lab with my colleague and collaborator Prof. Dola Saha in the ECE department. The MESA Lab Website will give you access to a broader set of projects that we pursue as a collaborative research group, which also lead to joint and co-advising for our graduate students. We strive for a vibrant academic environment promoting cross-pollination of ideas in a competitive yet friendly atmosphere.

Current and Former Students (Direct Advisees)


Maqsood Careem
(PhD, F'23)
Researcher @ Amazon X126 Lab

Arman Babaei
(TBD)

Zhibin Zou
(PhD Exp. S'25)
"Waveforms for xG Time-Varying Channels"

Amin Parhizgar
(TBD)

Tayyebeh Asgari
(PhD Exp. S'25)
"Collaborative ORAN for Passive Users"




Iresha Amarasekara
(PhD Exp. S'27)
"ReRAM architectures for Wireless Transceivers"




Anushka Gupta
(PhD Exp. S'27)
"Design and Analysis of 3D RIS"




Elnaz Mehraein
(PhD Exp. S'29)
"Blockchains for Spectrum Sensing"




Opportunities for Prospective Students

I am always looking for enthusiastic, self-driven independent students who can have a variety of background (EE/CE/CS) with focus on wireless communication, signal processing, reconfigurable computing and embeded systems. My research is highly inter-discplinary and employ concepts taught in various courses in the CS and ECE curricula. Some of the topics that are particularly relevant are given below.

  • Wireless Communications and Networking, Signal Processing
  • FPGA, Software Defined Radio and Embedded Systems
  • Theory and practical aspects of Reconfigurable Intelligent Surfaces and Blockchain
  • Mathematical foundations in Optimization, Random Processes and Machine Learning

Graduate and Undergraduate Students @ UAlbany: To get started, visit my research and publications page and browse the project descriptions to gauge the flavor of my research. I strongly encourage that you read at least one of my publications and create some understanding of the subject matter. Enrolling in my classes will provide another opportunity to engage in such conversations.

Non-UAlbany and International Students: In order to work with me, the first step is to apply to SUNY Albany and get admitted. Please visit the ECE department website to learn more about the department and apply for the appropriate degree program. You may also contact the Graduate admissions with any general admissions related questions. Before writing to me, please take time to browse my research and publications pages for some basic understanding of my work. Please note that I receive many emails from prospective students like yourself and while I do my best to respond, make sure you give me good reasons to respond as well.