Moshe Kam
Moshe Kam
Dean, Newark College of Engineering, Office of the Dean - NCE
Distinguished Professor, Electrical and Computer Engineering
Distinguished Professor, Electrical and Computer Engineering
280 Fenster Hall (FENS)
About Me
An engineering educator currently serving as the Dean of the Newark College of Engineering at the New Jersey Institute of Technology. Studies system theory and control, decision theory, detection and estimation, robotics and navigation, decision fusion, data fusion, and distributed detection.
Recent studies of applications -- (1) automatic tracking and motility analysis of human sperm in time-lapse images; and (2) real-time hypoxia prediction in humans who operate in high altitudes for prolonged durations.
Major recognitions: C. Holmes MacDonald Outstanding Teaching Award (HKN); NSF Presidential Young Investigator; Fellow of the IEEE “for contributions to the theory of decision fusion and distributed detection"; IEEE Haradan Pratt Award.
Recent studies of applications -- (1) automatic tracking and motility analysis of human sperm in time-lapse images; and (2) real-time hypoxia prediction in humans who operate in high altitudes for prolonged durations.
Major recognitions: C. Holmes MacDonald Outstanding Teaching Award (HKN); NSF Presidential Young Investigator; Fellow of the IEEE “for contributions to the theory of decision fusion and distributed detection"; IEEE Haradan Pratt Award.
Education
Ph.D.; Drexel University; ; 1987
M.S.; Drexel University; ; 1985
B.S.; Tel Aviv University; ; 1976
M.S.; Drexel University; ; 1985
B.S.; Tel Aviv University; ; 1976
2025 Spring Courses
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 421 - DIGITAL DATA COMMUNICATION
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 421 - DIGITAL DATA COMMUNICATION
Teaching Interests
Systems Theory, Engineering Mathematics, Signal Processing, Detection and Estimation, Communications, Control, Engineering Ethics
Past Courses
ECE 321: RANDOM SIGNALS & NOISE
ECE 421: DIGITAL DATA COMMUNICAT
ECE 421: DIGITAL DATA COMMUNICATION
ECE 481: COMMUNICATIONS SYSTEMS I
FED 101: FUND ENGINEERNG DESIGN I
FED 101: FUNDAMENTALS OF ENGINEERING DESIGN
FED 101: FUNDAMENTALS OF ENGR DESIGN
ECE 421: DIGITAL DATA COMMUNICAT
ECE 421: DIGITAL DATA COMMUNICATION
ECE 481: COMMUNICATIONS SYSTEMS I
FED 101: FUND ENGINEERNG DESIGN I
FED 101: FUNDAMENTALS OF ENGINEERING DESIGN
FED 101: FUNDAMENTALS OF ENGR DESIGN
Research Interests
System Theory, Control, Detection, Estimation, Decision Theory, Robotics and Navigation, Sensor Fusion, Data Fusion, Decision Fusion, Engineering Education
Conference Proceeding
“Pre-Calculus Summer Boot Camp--Lessons Learned”
“Unknown Signal Detection in Interference and Noise using Hidden Markov Models”
IEEE Statistical Signal Processing Workshop , July (3rd Quarter/Summer) 2021.
“Embedding Engineering Ethics in Introductory Engineering Courses using Stand-Alone Learning Modules”
ASEE-MAS Spring 2021 Conference (Virtual), April (2nd Quarter/Spring) 2021.
“Parallel Decision Fusion with Local Constraints”
2021 55th Annual Conference on Information Sciences and Systems (CISS), April (2nd Quarter/Spring) 2021.
“Getting Students to Explore Engineering Ethics through Debate-Style Presentations”
2020.
“Unknown Signal Detection in Interference and Noise using Hidden Markov Models”
IEEE Statistical Signal Processing Workshop , July (3rd Quarter/Summer) 2021.
“Embedding Engineering Ethics in Introductory Engineering Courses using Stand-Alone Learning Modules”
ASEE-MAS Spring 2021 Conference (Virtual), April (2nd Quarter/Spring) 2021.
“Parallel Decision Fusion with Local Constraints”
2021 55th Annual Conference on Information Sciences and Systems (CISS), April (2nd Quarter/Spring) 2021.
“Getting Students to Explore Engineering Ethics through Debate-Style Presentations”
2020.
SHOW MORE
“An Application-Oriented Course to Improve Student Performance in Mathematics Courses”
2018.
“Impact of Initiatives for Helping First Year Students Start on Track in Mathematics Sequence”
2018.
“Classification and Clustering of Human Sperm Swimming Patterns”
2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), July (3rd Quarter/Summer) 2018.
“Tracking of Human Sperm in Time-Lapse Images”
2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), July (3rd Quarter/Summer) 2018.
“Clustering of Human Sperm Swimming Patterns in Time-Lapse Images”
2018 IEEE International Conference on Healthcare Informatics (ICHI), June 2018.
“A partial contact frictional force model for finger-surface interactions”
2018 IEEE Haptics Symposium (HAPTICS), March 2018.
“Parallel decentralized detection with dependent randomization”
2018 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.
“Wireless network traffic disaggregation using Bayesian nonparametric techniques”
2018 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.
“Work in Progress--Findings of the Pilot Offering of an Application Oriented Course (ENGR 101)”
2017.
“Findings of the Pilot Offering of an Application Oriented Course (ENGR 101)”
9th Annual First Year Engineering Experience Conference, August 2017.
“Work in Progress – Helping First Year Students Start on Track in the Mathematics Sequence”
9th Annual First Year Engineering Experience Conference , August 2017.
“Detection performance vs. complexity in parallel decentralized Bayesian decision fusion”
2017 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Enhanced spectrum awareness using Bayesian nonparametric pattern recognition techniques”
2017 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Work in Progress--ENGR 101-Application Oriented Course to Help First Year Students Make the Connection Between Engineering and Mathematics”
2016.
“A greedy algorithm for decentralized Bayesian detection with feedback”
2016 IEEE 37th Sarnoff Symposium, September 2016.
“ENGR101 - Application Oriented Course to Help First Year Students Make the Connection Between Engineering and Mathematics”
8th Annual First Year Engineering Experience Conference, July (3rd Quarter/Summer) 2016.
“Pre-Calculus Boot Camp - Lessons Learned”
8th Annual First Year Engineering Experience Conference, July (3rd Quarter/Summer) 2016.
“Adaptive decision fusion using genetic algorithm”
2016 Annual Conference on Information Science and Systems (CISS), March 2016.
“Integration of multiple adaptive algorithms for parallel decision fusion”
2016 Annual Conference on Information Science and Systems (CISS), March 2016.
“Engineering math summer boot camp to help students succeed in remedial courses”
2015.
“Learning communities and engineering design course to help students pick the right major”
2015.
“Run-time Classification of Malicious Processes Using System Call Analysis”
2015 10th International Conference on Malicious and Unwanted Software (MALWARE), October (4th Quarter/Autumn) 2015.
“Engineering Math Summer Boot Camp to help Students Succeed in Remedial Courses”
7th First Year Engineering Experience (FYEE) Conference, August 2015.
“Learning Communities and Engineering Design Course to Help the Student Pick the Right Major”
7th First Year Engineering Experience (FYEE) Conference, August 2015.
“System Call-Based Detection of Malicious Processes”
2015 IEEE International Conference on Software Quality, Reliability and Security (QRS), August 2015.
“Towards integrating pattern reconfigurable antennas in WiMAX/LTE radios”
2015 IEEE 16th Annual ,Wireless and Microwave Technology Conference (WAMICON), , April (2nd Quarter/Spring) 2015.
“Characterization of pattern reconfigurable antenna arrays for MIMO systems”
2015 49th Annual Conference on Information Sciences and Systems (CISS) , March 2015.
“Analyzing the benefits of pattern diversity for MIMO wireless systems”
2015 International Conference on Computing, Networking and Communications (ICNC), February 2015.
2018.
“Impact of Initiatives for Helping First Year Students Start on Track in Mathematics Sequence”
2018.
“Classification and Clustering of Human Sperm Swimming Patterns”
2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), July (3rd Quarter/Summer) 2018.
“Tracking of Human Sperm in Time-Lapse Images”
2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), July (3rd Quarter/Summer) 2018.
“Clustering of Human Sperm Swimming Patterns in Time-Lapse Images”
2018 IEEE International Conference on Healthcare Informatics (ICHI), June 2018.
“A partial contact frictional force model for finger-surface interactions”
2018 IEEE Haptics Symposium (HAPTICS), March 2018.
“Parallel decentralized detection with dependent randomization”
2018 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.
“Wireless network traffic disaggregation using Bayesian nonparametric techniques”
2018 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.
“Work in Progress--Findings of the Pilot Offering of an Application Oriented Course (ENGR 101)”
2017.
“Findings of the Pilot Offering of an Application Oriented Course (ENGR 101)”
9th Annual First Year Engineering Experience Conference, August 2017.
“Work in Progress – Helping First Year Students Start on Track in the Mathematics Sequence”
9th Annual First Year Engineering Experience Conference , August 2017.
“Detection performance vs. complexity in parallel decentralized Bayesian decision fusion”
2017 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Enhanced spectrum awareness using Bayesian nonparametric pattern recognition techniques”
2017 51st Annual Conference on Information Sciences and Systems (CISS), March 2017.
“Work in Progress--ENGR 101-Application Oriented Course to Help First Year Students Make the Connection Between Engineering and Mathematics”
2016.
“A greedy algorithm for decentralized Bayesian detection with feedback”
2016 IEEE 37th Sarnoff Symposium, September 2016.
“ENGR101 - Application Oriented Course to Help First Year Students Make the Connection Between Engineering and Mathematics”
8th Annual First Year Engineering Experience Conference, July (3rd Quarter/Summer) 2016.
“Pre-Calculus Boot Camp - Lessons Learned”
8th Annual First Year Engineering Experience Conference, July (3rd Quarter/Summer) 2016.
“Adaptive decision fusion using genetic algorithm”
2016 Annual Conference on Information Science and Systems (CISS), March 2016.
“Integration of multiple adaptive algorithms for parallel decision fusion”
2016 Annual Conference on Information Science and Systems (CISS), March 2016.
“Engineering math summer boot camp to help students succeed in remedial courses”
2015.
“Learning communities and engineering design course to help students pick the right major”
2015.
“Run-time Classification of Malicious Processes Using System Call Analysis”
2015 10th International Conference on Malicious and Unwanted Software (MALWARE), October (4th Quarter/Autumn) 2015.
“Engineering Math Summer Boot Camp to help Students Succeed in Remedial Courses”
7th First Year Engineering Experience (FYEE) Conference, August 2015.
“Learning Communities and Engineering Design Course to Help the Student Pick the Right Major”
7th First Year Engineering Experience (FYEE) Conference, August 2015.
“System Call-Based Detection of Malicious Processes”
2015 IEEE International Conference on Software Quality, Reliability and Security (QRS), August 2015.
“Towards integrating pattern reconfigurable antennas in WiMAX/LTE radios”
2015 IEEE 16th Annual ,Wireless and Microwave Technology Conference (WAMICON), , April (2nd Quarter/Spring) 2015.
“Characterization of pattern reconfigurable antenna arrays for MIMO systems”
2015 49th Annual Conference on Information Sciences and Systems (CISS) , March 2015.
“Analyzing the benefits of pattern diversity for MIMO wireless systems”
2015 International Conference on Computing, Networking and Communications (ICNC), February 2015.
COLLAPSE
Journal Article
Pramod V. Abichandani, Deepan Lobo, Branislav Dimitrijevic, Ashish D. Borgaonkar, Jaskirat S. Sodhi, Smit Kabrawala, Daniel J. Brateris, Moshe Kam. 2024. “Competition-based active learning instruction for drone education.” Interactive Learning Environments, vol. 32, no. 5, pp. 1795--1813.
Gabriel Ford, Benjamin J. Foster, Stephen A. Braun, Moshe Kam. 2023. “Unknown Signal Detection in Switching Linear Dynamical System Noise.” IEEE Transactions on Signal Processing, vol. 71, pp. 2220-2234.
Ludvik Alkhoury, Ji-won Choi, Vishnu Deep Chandran, Gabriela De Carvalho, Saikat Pal, Moshe Kam. 2022. “Dual wavelength photoplethysmography framework for heart rate calculation.” Sensors, vol. 22, no. 24.
Pramod V. Abichandani, Deepan Lobo, Branislav Dimitrijevic, Ashish D. Borgaonkar, Jaskirat S. Sodhi, Smit Kabrawala, Daniel J. Brateris, Moshe Kam. 2022. “Competition-based active learning instruction for drone education.” Interactive Learning Environments, pp. 1--19.
Ludvik Alkhoury, JiWon Choi, Vishnu D Chandran, Gabriela B De Carvalho, Saikat Pal, Moshe Kam. 2022. “Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation.” Sensors, vol. 22, no. 24, pp. 9955-9977.
Gabriel Ford, Benjamin J. Foster, Stephen A. Braun, Moshe Kam. 2023. “Unknown Signal Detection in Switching Linear Dynamical System Noise.” IEEE Transactions on Signal Processing, vol. 71, pp. 2220-2234.
Ludvik Alkhoury, Ji-won Choi, Vishnu Deep Chandran, Gabriela De Carvalho, Saikat Pal, Moshe Kam. 2022. “Dual wavelength photoplethysmography framework for heart rate calculation.” Sensors, vol. 22, no. 24.
Pramod V. Abichandani, Deepan Lobo, Branislav Dimitrijevic, Ashish D. Borgaonkar, Jaskirat S. Sodhi, Smit Kabrawala, Daniel J. Brateris, Moshe Kam. 2022. “Competition-based active learning instruction for drone education.” Interactive Learning Environments, pp. 1--19.
Ludvik Alkhoury, JiWon Choi, Vishnu D Chandran, Gabriela B De Carvalho, Saikat Pal, Moshe Kam. 2022. “Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation.” Sensors, vol. 22, no. 24, pp. 9955-9977.
SHOW MORE
Ji-won Choi, Ludvik Alkhoury, Leonardo F Urbano, Puneet Masson, Matthew VerMilyea, Moshe Kam. 2022. “An assessment tool for computer-assisted semen analysis (CASA) algorithms.” Scientific Reports , vol. 12.
Pramod V. Abichandani, Deepan Lobo, Branislav Dimitrijevic, Ashish D. Borgaonkar, Jaskirat S. Sodhi, Smit Kabrawala, Daniel J. Brateris, Moshe Kam. 2022. “Competition-based active learning instruction for drone education.” Interactive Learning Environments.
Weiqiang Dong, Moshe Kam. 2021. “Dependent Randomization in Parallel Binary Decision Fusion.” IEEE/CAA Journal of Automatica Sinica , vol. 8, no. 2, pp. 361-376.
Ludvik Alkhoury, Ji-won Choi, Chizhong Wang, Arjun Rajasekar, Sayandeep Acharya, Sean Mahoney, Barry Shender, Leonid Hrebien, Moshe Kam. 2020. “Heart-rate tuned comb filters for processing photoplethysmogram (PPG) signals in pulse oximetry.” Journal of Clinical Monitoring and Computing/Springer Nature, vol. 35, pp. 797-813.
Pramod V. Abichandani, Deepan Lobo, Gabrial Ford, Donald Bucci, Moshe Kam. 2020. “Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles.” IEEE Access, vol. 8, pp. 54910-54927.
Arjun Rajasekar, Sayandeep Acharya, Barry B. Shender, Chris Rorres, Leonid Hrebien, Moshe Kam. 2019. “Correlation of cognitive scores and the onset of hypoxia.” Aerospace Medicine and Human Performance, vol. 90, no. 5, pp. 429-439.
Lex Fridman, Steven Weber, Rachel Greenstadt, Moshe Kam. 2017. “Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location.” IEEE Systems Journal, vol. 11, no. 2, pp. 513-521.
Sayandeep Acharya, Arjun Rajasekar, Barry S. Shender, Leonid Hrebien, Moshe Kam. 2017. “Real-Time Hypoxia Prediction Using Decision Fusion.” IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 3, pp. 696-707.
Leonardo F. Urbano, Puneet Masson, Matthew VerMilyea, Moshe Kam. 2017. “Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images.” IEEE Transactions on Medical Imaging, vol. 36, no. 3, pp. 792-801.
Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi. 2016. “Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.” ACM, vol. 10, no. 4, pp. 23.
Ryan Measel, Christopher S. Lester, Donald J. Bucci, Kevin Wanuga, Gregory Tait, Richard Primerano, Kapil Dandekar, Moshe Kam. 2016. “An Empirical Study on the Performance of Wireless OFDM Communications in Highly Reverberant Environments.” IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4802-4812.
Moshe Kam, Pramod Abichandani, Tom Hewett, . 2015. “Simulation Detection in Handwritten Documents by Forensic Document Examiners .” Journal of Forensic Sciences , vol. 60 , no. 4, pp. 936-941.
Moshe Kam, Pramod V. Abichandani, Tom Hewett. 2015. “Simulation Detection in Handwritten Documents by Forensic Document Examiners.” Journal of Forensic Science , vol. 60, no. 4, pp. 936-941.
George Sworo, Kapil Dandekar, Moshe Kam. 2015. “Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems.” EURASIP Journal on Wireless Communications and Networking , pp. 15pp. .
Lex Fridman, Ariel Stolerman, Sayandeep Acharya, Patrick Brennan, Patrick Joula, Rachel Greenstadt, Moshe Kam. 2015. “Multi-modal decision fusion for continuous authentication.” Computers & Electrical Engineering (Elsevier) , vol. 41.
Chris S Lester, Donald J Bucci, Ryan Measel, Kevin Wanuga, Richard Primerano, Kapil R Dandekar, Moshe Kam. 2015. “Performance of Reconfigurable Antennas in a Below-Decks Environment.” IEEE Antennas and Wireless Propagation Letters, vol. 14, pp. 1093-1096.
Pramod V. Abichandani, Deepan Lobo, Branislav Dimitrijevic, Ashish D. Borgaonkar, Jaskirat S. Sodhi, Smit Kabrawala, Daniel J. Brateris, Moshe Kam. 2022. “Competition-based active learning instruction for drone education.” Interactive Learning Environments.
Weiqiang Dong, Moshe Kam. 2021. “Dependent Randomization in Parallel Binary Decision Fusion.” IEEE/CAA Journal of Automatica Sinica , vol. 8, no. 2, pp. 361-376.
Ludvik Alkhoury, Ji-won Choi, Chizhong Wang, Arjun Rajasekar, Sayandeep Acharya, Sean Mahoney, Barry Shender, Leonid Hrebien, Moshe Kam. 2020. “Heart-rate tuned comb filters for processing photoplethysmogram (PPG) signals in pulse oximetry.” Journal of Clinical Monitoring and Computing/Springer Nature, vol. 35, pp. 797-813.
Pramod V. Abichandani, Deepan Lobo, Gabrial Ford, Donald Bucci, Moshe Kam. 2020. “Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles.” IEEE Access, vol. 8, pp. 54910-54927.
Arjun Rajasekar, Sayandeep Acharya, Barry B. Shender, Chris Rorres, Leonid Hrebien, Moshe Kam. 2019. “Correlation of cognitive scores and the onset of hypoxia.” Aerospace Medicine and Human Performance, vol. 90, no. 5, pp. 429-439.
Lex Fridman, Steven Weber, Rachel Greenstadt, Moshe Kam. 2017. “Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location.” IEEE Systems Journal, vol. 11, no. 2, pp. 513-521.
Sayandeep Acharya, Arjun Rajasekar, Barry S. Shender, Leonid Hrebien, Moshe Kam. 2017. “Real-Time Hypoxia Prediction Using Decision Fusion.” IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 3, pp. 696-707.
Leonardo F. Urbano, Puneet Masson, Matthew VerMilyea, Moshe Kam. 2017. “Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images.” IEEE Transactions on Medical Imaging, vol. 36, no. 3, pp. 792-801.
Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi. 2016. “Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.” ACM, vol. 10, no. 4, pp. 23.
Ryan Measel, Christopher S. Lester, Donald J. Bucci, Kevin Wanuga, Gregory Tait, Richard Primerano, Kapil Dandekar, Moshe Kam. 2016. “An Empirical Study on the Performance of Wireless OFDM Communications in Highly Reverberant Environments.” IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4802-4812.
Moshe Kam, Pramod Abichandani, Tom Hewett, . 2015. “Simulation Detection in Handwritten Documents by Forensic Document Examiners .” Journal of Forensic Sciences , vol. 60 , no. 4, pp. 936-941.
Moshe Kam, Pramod V. Abichandani, Tom Hewett. 2015. “Simulation Detection in Handwritten Documents by Forensic Document Examiners.” Journal of Forensic Science , vol. 60, no. 4, pp. 936-941.
George Sworo, Kapil Dandekar, Moshe Kam. 2015. “Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems.” EURASIP Journal on Wireless Communications and Networking , pp. 15pp. .
Lex Fridman, Ariel Stolerman, Sayandeep Acharya, Patrick Brennan, Patrick Joula, Rachel Greenstadt, Moshe Kam. 2015. “Multi-modal decision fusion for continuous authentication.” Computers & Electrical Engineering (Elsevier) , vol. 41.
Chris S Lester, Donald J Bucci, Ryan Measel, Kevin Wanuga, Richard Primerano, Kapil R Dandekar, Moshe Kam. 2015. “Performance of Reconfigurable Antennas in a Below-Decks Environment.” IEEE Antennas and Wireless Propagation Letters, vol. 14, pp. 1093-1096.
COLLAPSE
Conference Paper
“Mitigation of Motion Artifacts in Pulse Oximetry through Redundant Sensors”
2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)/IEEE, November 2022.
2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)/IEEE, November 2022.