Habib Ahmad

Assistant Professor of Computer Engineering

123 John Mitchell Center, Gorham Campus

Education

  • PhD Electrical and Computer Engineering, University of New Hampshire 2025
  • MS Electrical and Computer Engineering, University of New Hampshire 
  • MEng Telecommunication, American International University, Bangladesh
  • BS Electrical and Electronic Engineering, American International University, Bangladesh

Current Courses

ELE 473 Computer Architecture & Organization
ELE 342 Electronics I: Devices & Circuits

Research Interests

Electrochemical polymer and aptamer-based biosensors
Electrochemical Cyber-Physical Intelligence
Cyber-Physical Systems and Internet of Things (IoT)
Embedded and edge AI for intelligent sensing
Real-time and continuous molecular monitoring
Electrochemical impedance spectroscopy and voltametric sensing
Advanced nanomaterials and two-dimensional materials for sensors
Synthetic molecular receptors and polymer-templated sensing
Wearable and point-of-care sensing platforms
Intelligent environmental and water-quality monitoring
Sensor data analytics, machine learning, and uncertainty-aware intelligence

Dr. Habib Ahmad is an Assistant Professor of Computer Engineering at the University of Southern Maine. His interdisciplinary research lies at the intersection of Smart material designElectrochemical sensing, Artificial intelligence, with the overarching goal of
developing intelligent sensing platforms capable of continuously acquiring, interpreting, and responding to complex physical and biological information.

A major thrust of his research is the development of electrochemical cyber-physical intelligence for autonomous environmental and health monitoring. His work explores intelligent, distributed, and low-power sensing platforms for applications such as water-quality monitoring, harmful algal bloom detection, wearable and point-of-care health monitoring, and
continuous biochemical sensing.

His research also investigates Advanced sensing materials and molecular recognition technologies, including aptamers, synthetic receptors, polymer-templated sensing interfaces, two-dimensional materials, and nanostructured electrodes. These materials provide the molecular selectivity and electrochemical sensitivity necessary for next-generation sensing systems, while
computational intelligence enables the systems to learn from changing environments and autonomously optimize their measurements.

Dr. Habib published several peer-reviewed Journal and conference papers. He currently serves as a reviewer of Microelectronic Engineering.

Selected Publications

1) Habib M. N. Ahmad, Edward Song “Continuous real-time monitoring of serotonin using novel electrochemical technique” 2024 Annual CIBBR Scientific Retreat.

2) Habib M. N. Ahmad, Arturo Andrade and Edward Song “Continuous Real-Time Detection of Serotonin Using an Aptamer-Based Electrochemical Biosensor”, Biosensors 2023, 13(11), 983, DOI: https://doi.org/10.3390/bios13110983

3) Habib M. N. Ahmad, Gaurab Dutta, John Csoros, Bo Si, Rongfang Yang, Jeffrey M. Halpern, W. Rudolf Seitz, and Edward Song “Stimuli-Responsive Templated Polymer as a Target Receptor for a Conformation-Based Electrochemical Sensing Platform”, ACS Applied Polymer Materials, DOI: 10.1021/acsapm.0c01120, Publication Date (Web): December 9, 2020.

4) Habib M. N. Ahmad, Sujoy Ghosh, Gaurab Dutta, Alec G. Maddaus, John G. Tsavalas, Shawna Hollen, and Edward Song “The Effects of Impurities on the Electrochemical Characterization of Liquid Phase Exfoliated Niobium Diselenide Nanosheets”, The Journal of Physical Chemistry C (ACS), DOI: 10.1021/acs.jpcc.9b00485, Publication Date (Web): March 7, 2019

5) Habib M. N. Ahamd, Gaurab Dutta, Bo Si, John Csoros, W. Rudolf Seitz, Edward Song, “A Novel Biosensing Platform using RAFT Polymer-Based Molecular Templating” in 2020 Graduate Research Conference, University of New Hampshire, USA, Poster published.

6) Habib M. N. Ahmad, Bo Si, Gaurab Dutta, John R. Csoros, William Rudolf Seitz, and Edward Song. “Non-enzymatic electrochemical detection of glutamate using templated polymer-based target receptors.” in IEEE, EUROSENSORS XXXIII, 2019, Full Paper Published and Indexed.

7) Gaurab Dutta, Rongfang Yang, Habib M. N. Ahmad, Bo Si, John Csoros, Tianyu Ren, Jeffrey Halpern, W. Rudolf Seitz, Edward Song. (2019). A Single-chain Templated Polymer-based Target Receptor as a New Platform for Label-Free Selective Electrochemical Sensing.” in IEEE Pulse, 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin Germany, 2019. Full Paper Published and Indexed.

8) Bo Si, John Csoros, Habib Ahmad, Gaurab Dutta, Rongfang Yang, Jeffrey Halpern, Rudi Seitz and Edward Song, “Molecular Templating of Target Analyte using RAFT- Polymerized Synthetic Receptor”; Gordon Research Conference 2018, Bioanalytical Sensors - State-of-the-Art Bioanalytical Sensing Approaches for Healthcare and Therapeutics, Forensics, and Visualization of Living Systems, Salve Regina University, RI, U.S.

123 John Mitchell Center, Gorham Campus

Education

  • PhD Electrical and Computer Engineering, University of New Hampshire 2025
  • MS Electrical and Computer Engineering, University of New Hampshire 
  • MEng Telecommunication, American International University, Bangladesh
  • BS Electrical and Electronic Engineering, American International University, Bangladesh

Current Courses

ELE 473 Computer Architecture & Organization
ELE 342 Electronics I: Devices & Circuits

Research Interests

Electrochemical polymer and aptamer-based biosensors
Electrochemical Cyber-Physical Intelligence
Cyber-Physical Systems and Internet of Things (IoT)
Embedded and edge AI for intelligent sensing
Real-time and continuous molecular monitoring
Electrochemical impedance spectroscopy and voltametric sensing
Advanced nanomaterials and two-dimensional materials for sensors
Synthetic molecular receptors and polymer-templated sensing
Wearable and point-of-care sensing platforms
Intelligent environmental and water-quality monitoring
Sensor data analytics, machine learning, and uncertainty-aware intelligence