UCF logoShameek Bhattacharjee

Welcome to my homepage.
I am an Assistant Professor in the Department of Computer Science at Western Michigan University, Kalamazoo, MI. Prior to this, I was a post-doctoral research fellow at the Center for Research in Wireless Mobility and Networking (CReWMAN) in the Missouri University of Science and Technology, Rolla, MO, founded and directed by Prof. Sajal Das. Prior to that, I received my Ph.D. and M.S. in Computer Engineering from Dept. of EECS, at the University of Central Florida, in 2015 and 2011 respectively under supervision of Prof. Mainak Chatterjee and Bachelor of Technology in Information Technology from West Bengal University of Technology, India in 2009.

Links: Here is the link to my [CV]. 		Contact:
Shameek Bhattacharjee
Computer Science Department, Room B-241,
Elson S. Floyd Hall
1903 W Michigan Avenue
Campus Mail Stop 5466
Kalamazoo MI 40998-5466
 Email: shameek [DOT] bhattacharjee [AT] wmich [DOT] edu
Phone: 269-276-3156

Research Interests:

In my research group, we mainly design data driven and model driven frameworks for the safety, security, trustworthiness, and dependability in smart connected systems. Our research group strives to balance both fundamental theory contributions as well as applied research. A list of topics include:
Security Data Science: Anomaly Detection, Explainable Machine Learning, Device Scoring and Classification Models, Behavioral Fingerprinting
Safety, Security and Reliability in IoT for Smart Grids, Smart Transportation, Mobile Crowdsensing, Dynamic Spectrum Access, Cyber Physical Systems
Next Generation Wireless Networks: Sustainable Smart Connected Communities, Energy and Spectrum Efficiency, Dynamic Spectrum Access, Predictive Resource Allocation.
Trustworthy and Dependable Systems: Trust and Reputation Models, Dependable Decision Making, Prospect Theory, Behavioral Economics for Smart City Applications

Publications:

Peer Reviewed Journals/Magazines:

  1. S. Bhattacharjee, S. K. Das, Unifying Threats against Information Integrity in Participatory Crowd Sensing IEEE Pervasive Computing, 2023
  2. S. Bhattacharjee, S. K. Das, Building a Unified Data Falsification Threat Landscape for IoT/CPS Applications IEEE Computer, 2023
  3. S. Bhattacharjee, S. K. Das, Information Integrity in Participatory Crowd-Sensing via Robust Trust Models Springer Cham Mobile Crowdsourcing: From Theory to Practice, 2023
  4. MJ. Islam, J. Talusan, S. Bhattacharjee, F. Tiausas, A. Dubey, K. Yasumoto, S. K. Das, Scalable Pythagorean Mean based Incident Detection in Smart Transportation Systems ACM Transactions on Cyber Physical Systems, 2023.
  5. F. Tiasus, K. Yasumoto, J. Talusan, H. Yamana, H. Yamaguchi, S. Bhattacharjee, A. Dubey, S.K. Das HPRoP: Hierarchical Privacy-Preserving Route Planning for Smart Cities ACM Transactions on Cyber Physical Systems, 2023
  6. P. Roy, S. Bhattacharjee, S. Abedzadeh, S.K. Das Noise Resilient Learning for Attack Detection in Smart Grid PMU Infrastructure IEEE Trans. on Dependable and Secure Computing, Dec. 2022.
  7. Kahvazadeh, I., Jose, E., Fong, A.C., Gupta, A, Carr. S., Bhattacharjee, S., Harnar, M., Development and evaluation of a modular experiential learning curriculum for promoting AI readiness Springer Education and Information Technologies, April 2023.
  8. S. Bhattacharjee, P. Madhavarapu, S. Silvestri, S. K. Das, Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure ACM Transactions on Privacy and Security, 2021.
  9. M. Salimitari, S. Bhattacharjee, M. Chatterjee, Y.P. Fallah A Prospect Theoretic Approach for Trust Management in IoT Networks Under Manipulation Attacks ACM Transactions on Sensor Networks, Vol. 16, Issue 3, Article 26, May 2020.
  10. S. Bhattacharjee, N. Ghosh, V. Shah, S. K. Das QnQ: A Quality and Quantity based Unified Approach for Secure and Trustworthy Mobile Crowdsensing , IEEE Transactions on Mobile Computing, Vol. 19, Issue 1, pp. 200-216, Jan 2020.
  11. V. K. Shah, B. Luciano, S. Silvestri, S. Bhattacharjee, S. K. Das, A Diverse Band-Aware Dynamic Spectrum Access Network Architecture for Delay-Tolerant Smart City Applications IEEE Transactions on Network and Service Management, Vol. 17, no. 2, pp. 1125-1139, June 2020.
  12. S. Bhattacharjee, S. K. Das Detection and Forensics under Stealthy Data Falsification in Smart Metering Infrastructure , IEEE Transactions on Dependable and Secure Computing, Vol. 16, 2020.
  13. V. Shah, S. Bhattacharjee, S. Silvestri, S. K. Das, Designing Green Communication Systems for Smart Connected Communities via Dynamic Spectrum Access , ACM Transactions on Sensor Networks, Vol. 14, Issue 3, Article 31, Nov. 2018.
  14. F. Restuccia, N. Ghosh, S. Bhattacharjee, S. K. Das, T. Melodia, Quality of Information in Mobile Crowdsensing: Survey and Research Challenges , ACM Transactions on Sensor Networks, Vol. 13, Issue 4, Sept. 2017.
  15. S. Bhattacharjee, S. Debroy and M. Chatterjee, Quantifying Trust for Robust Fusion while Spectrum Sharing in distributed DSA networks , IEEE Transactions on Cognitive Communications and Networking, Vol. 3, Issue 2, pp. 138-154, Jun. 2017.
  16. S. Debroy, S. Bhattacharjee and M. Chatterjee, Spectrum Map and its application in Resource Management in Cognitive Radio Networks , IEEE Transactions on Cognitive Communications and Networking, Vol. 1, Issue 4, pp. 406-419, Dec. 2015.
  17. S. Bhattacharjee, D. Marinescu, A Cloud Service for Trust Management in Cognitive Radio networks, International Journal Of Cloud Computing(IJCC), Vol.3, Issue 4, pp.326-353, Jan. 2014.
  18. S. Bhattacharjee, S. Sengupta, M. Chatterjee, Vulnerabilities in Cognitive Radio Networks: A survey, Journal Of Computer Communications(COM-COM), Vol. 36, Issue 13, pp. 1387-1398, Jul. 2013
  19. W. Wang, S. Bhattacharjee, M. Chatterjee, K. Kwiat, Collaborative Jamming and Collaborative Defense in Cognitive Radio Networks, Journal of Pervasive and Mobile Computing(PMC), Vol. 9, Issue 4, pp. 572-587, Aug. 2013.
(For citation details, refer to Google Scholar)

Peer Reviewed Conference Papers:

  1. J. Islam, JP Talusan, S. Bhattacharjee, F. Tiasus, S. Vazirizade, A. Dubey, K. Yasumoto, S.K. Das, Anomaly based Incident Detection in Large Scale Smart Transportation Systems, IEEE/ACM International Conference on Cyber Physical Systems (IEEE/ACM ICCPS), May 2022 (AR=24/92 ~ 26%), (Top 3 Nominee for Best Paper Award)
  2. A. Fong, A. Gupta, S. Carr, S. Bhattacharjee, M. Harnar, Modular experiential learning for secure, safe, and reliable AI: Curricular Initiative to Promote Education in Trustworthy AI, ACM Annual Conference on Information Technology Education (ACM SIG-ITE), pp. 9-15, 2022. (Top 3 Nominee for Best Paper Award)
  3. S. Bhattacharjee, J. Islam, S. Abedzadeh Robust Anomaly based Attack Detection in Smart Grids under Data Poisoning Attacks , ACM Asia'CCS Workshop on Cyber Physical Systems Security (ACM CPSS), June, 2022.
  4. VPK Madhavarapu, S. Bhattacharjee, S.K. Das A Generative Model for Evasion Attacks in Smart Grid , IEEE INFOCOM Workshop on Big Data Security (IEEE Big'Security), May. 2022.
  5. VPK Madhavarapu, P. Roy, S. Bhattacharjee, S.K. Das Active Learning Augmented Folded Gaussian Model for Anomaly Detection in Smart Transportation , IEEE International Conference on Communications (IEEE ICC), April. 2022
  6. R. Li, S. Bhattacharjee, H. Yamana, S.K. Das Look-Up Table based FHE System for Privacy Preserving Anomaly Detection in Smart Grids , IEEE International Conference on Smart Computing (IEEE SMARTCOMP), April. 2022
  7. S. Joshi, R. Li, S. Bhattacharjee, H. Yamana, S.K. Das Privacy-Preserving Data Falsification Detection in Smart Grids using Elliptic Curve Cryptography and Homomorphic Encryption , IEEE International Conference on Smart Computing (IEEE SMARTCOMP), April. 2022
  8. S. Bhattacharjee, VPK Madhavarapu, S.K. Das A Diversity Index based Scoring Framework for Identifying Smart Meters Launching Stealthy Data Falsification Attacks , ACM ASIA Conference on Computer and Communications Security (ACM ASIA CCS), June. 2021 (AR=70/370 ~ 18.9%)
  9. P. Roy, S. Bhattacharjee, H. Al-Sheakh, S.K. Das Resilience Against Bad Mouthing Attacks in Mobile Crowdsensing Systems via Cyber Deception, IEEE World of Wireless Mobile and Multimedia Networks (IEEE WoWMoM), 2021 (AR=22/97 ~ 23%)
  10. F. Tiausas, J. Talusan, Y. Ishimaki, H. Yamana, H. Yamaguchi, S. Bhattacharjee, A. Dubey, K. Yasumoto, S.K. Das, User-centric Distributed Route Planning in Smart Cities based on Multi-objective Optimization, in IEEE Intl. Conference on Smart Computing (IEEE SMARTCOMP), 2021.
  11. H. Al-Sheakh, S. Bhattacharjee, Towards a Unified Trust Framework for Detecting IoT Device Attacks in Smart Homes , IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (IEEE MASS), Dec. 2020 (AR=30%)
  12. P. Roy, S. Bhattacharjee, S.K. Das, Real Time Stream Mining based Attack Detection in Distribution Level PMUs for Smart Grids , accepted in IEEE Global Conference on Communications, (IEEE GLOBECOMM), Dec. 2020.
  13. Y. Ishimaki, S. Bhattacharjee, H. Yamana, S.K. Das, Towards Privacy-preserving Anomaly-based Attack Detection against Data Falsification in Smart Grid , accepted in IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SMARTGRIDCOMM), Nov. 2020.
  14. M Wilbur, A Dubey, L Bruno, S. Bhattacharjee, A Decentralized Approach For Real Time Anomaly Detection In Transportation Networks , IEEE International Conference on Smart Computing (IEEE SMARTCOMP), 2019.
  15. J. Talusan, F. Tiasus, K. Yasumoto, M. Wilbur, G. Pettet, A. Dubey, S. Bhattacharjee , Smart Transportation Delay and Resiliency Testbed based on Information Flow of Things Middleware , IEEE Smart Computing Workshop on Big Data and IoT Security, 2019.
  16. Shameek Bhattacharjee, Aditya Thakur, Sajal. K. Das, Towards Fast and Semi-Supervised Identification of Smart Meters launching Data Falsification , ACM ASIA Conference on Computer and Communications (ACM ASIACCS), 2018. (AR=52/310 ~ 17%)
  17. Shameek Bhattacharjee, Nirnay Ghosh, Vijay Shah, Sajal. K. Das, QnQ: A Reputation Model for Securing Mobile Crowdsensing Applications from Incentive Losses , IEEE Conference on Communications and Network Security (IEEE CNS), 2017. (AR=41/139 ~ 29%)
  18. Shameek Bhattacharjee, Aditya Thakur, Simone Silvestri, Sajal. K. Das, Statistical Security Incident Forensics against Data Falsification in Smart Grid Advanced Metering Infrastructure , ACM Conference on Data and Application Security and Privacy (ACM CODASPY), 2017. (AR=21/134 ~ 16%)
  19. Vijay Shah, Shameek Bhattacharjee, Simone Silvestri, Sajal. K. Das, Designing Sustainable Smart Connected Communities using Dynamic Spectrum Access via Band Selection , ACM International Conference on Systems for Energy-Efficient Built Environments (ACM BuildSyS), 2017. (AR=20(+10)/96 ~ 21%)
  20. Shameek Bhattacharjee, Mehrdad Salimitari, Mainak Chatterjee, Kevin Kwiat, and Charles A. Kamhoua Preserving Data Integrity in IoT Networks under Opportunistic Data Manipulation, , IEEE Conference on Dependable Autonomic and Secure Computing (IEEE DASC), 2017.
  21. Shameek Bhattacharjee, Nirnay Ghosh, Vijay Shah, Sajal. K. Das, W2Q: A dual weighted QoI scoring mechanism in social sensing using community confidence , IEEE Pervasive Computing and Communication Workshops (IEEE PerCom Workshops), 2017.
  22. Shameek Bhattacharjee, Mainak Chatterjee, Kevin Kwiat and Charles Kamhoua, Multinomial Trust in presence of Uncertainty and Adversaries in DSA networks , IEEE Military Communications Conference (IEEE MILCOM), pp. 611-616, 2015.
  23. Shameek Bhattacharjee, Mainak Chatterjee, Kevin Kwiat and Charles Kamhoua Bayesian Inference based Decision Reliability under Imperfect Monitoring , IFIP/IEEE International Symposium on Integrated Network Management (IEEE/IFIP IM), pp. 1333-1338, 2015.
  24. Shameek Bhattacharjee and Mainak Chatterjee, Trust Based Channel Preference in cognitive radio networks under Collaborative Selfish sensing attacks , IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 2014.
  25. Shameek Bhattacharjee, Saptarshi Debroy, Mainak Chatterjee, and Kevin Kwiat, Utilizing Misleading Information for Cooperative Spectrum Sensing in Cognitive Radio Networks, IEEE International Conference of Communications (IEEE ICC), 2013.
  26. Saptarshi Debroy, Shameek Bhattacharjee, Mainak Chatterjee, and Kevin Kwiat, An Effective Use of Spectrum Usage Estimation for IEEE 802.22 Networks, IEEE Wireless Communications and Networking Conference (IEEE WCNC), 2012.
  27. Shameek Bhattacharjee, Saptarshi Debroy, and Mainak Chatterjee, Trust Computation Through Anomaly Monitoring in Distributed Cognitive Radio Networks, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 2011.(Best Paper Award)
  28. Shameek Bhattacharjee, Saptarshi Debroy, Mainak Chatterjee, and Kevin Kwiat, Trust based Fusion over Noisy Channels through Anomaly Detection in Cognitive Radio Network, ACM International Conference on Security of Information And Networks (SIN), 2011.
  29. Saptarshi Debroy, Shameek Bhattacharjee, and Mainak Chatterjee, Performance based Channel Allocation in IEEE 802.22 Networks, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 2011.
  30. Saptarshi Debroy, Shameek Bhattacharjee, Mainak Chatterjee, and Kevin Kwiat, Spectrum Usage Estimation and Channel Allocation in IEEE 802.22 Networks, ACM AINTEC 2011.
  31. Saptarshi Debroy,Shameek Bhattacharjee, and Mainak Chatterjee, Spectrum Map: Toward predicting the spatial distribution of spectrum usage in CRNs, , ICST International Conference on Cognitive Radio Oriented Wireless Networks (ICST CrownCom), 2011.
(For citation details, refer to Google Scholar)

External Grants/Funding:

  • NSF SaTC CORE: Small: TAURUS: Towards a Unified Robust and Secure Data Driven Approach for Attack Detection in Smart Living , National Science Foundation , Grant Number: 2030611, Role: Single PI, Amount: $291,041 (Oct. 2020-Sept 2024).
    • Here is the link to my [ SATC-2030611 Project Website ]

  • NSF OAC:CyberTraining: Implementation: Small: Promoting AI Readiness for Machine-Assisted Secure Data Analysis (PAIR4MASDA) , National Science Foundation , Grant Number: 2320951, Role: Co-PI, Amount: $499,876.00 (Oct. 2023-Sept 2027).


  • DoE:CESER: WMU Center for Interdiscplinary Research on Secure, Efficient, and Sustainable Energy Technologies , US Department of Energy , Grant Number: DE-CR0000029, Role: Co-PI, Amount: $437,533(April 2023-April 2024)
    • A link to the our [ Center Webpage ]

  • NSF OAC: Cybertraining: Pilot: Modular Experiential Learning for Secure, Safe, and Reliable AI , National Science Foundation , Grant Number: 2017289 Role: Co-PI, Amount: $298,000(Aug 2020-Aug 2022)
    • Here is the link to our [ OAC Cyber Training Project Website ]

  • NeTS: JUNO2: Collaborative Research: STEAM: Secure and Trustworthy Framework for Integrated Energy and Mobility in Smart Connected Communities National Science Foundation , Grant Number: 1818942, Role: Co-PI (while in MST), Amount: $255,000 (Sept. 2018-Aug. 2022)

  • Towards HIPAA Compliant Authentication of Medical Devices for Connected Healthcare Systems Stryker Corporation , Role: PI, Amount: $6500 (Dec 2019-Dec. 2020)

    • Professional Experience:

  • Assistant Professor, Western Michigan University, , Computer Science, Kalamazoo, Michigan (Aug 2018-Present)

  • Post-Doctoral Fellow, Missouri Univ. of Science and Technology , Rolla, Missouri, (Oct. 2015-July 2018).

  • Summer Intern, Cisco Systems Inc. , Software Engineer III, San Jose, California (2013)

  • Summer Intern, Bluecoat Systems , Software Engineer I, Sunnyvale, California (2011)

  • Research & Teaching Assistant, University of Central Florida, Orlando, Florida (Aug. 2010-Aug. 2015).

    • Student Advising:

    Current Students:
    Jaminur Islam current PhD. student
    Sahar Abedzadeh current PhD. student

    Former Students:
    Hussein Al-Shaekh PhD. co-advised with Dr. Lilien, first employment as Assistant Professor, Al-Mustansiriyah University, Iraq.
    Alex Bodurka, M.S. Thesis, first employment as R & D Design Engineer, Stryker Corporation, USA
    Alvaro Serrano Rivas BS. Thesis, first employment as software and financial data analyst, IPOR Labs, Switzerland.
    Joseph Okonofua BS. Thesis, first employement as Data Engineer, Cognizant Technology Solutions, USA.
    Venkata Praveen Kumar Madhavarapu, PhD., co-advised with Prof. Sajal Das, first employed as Data Scientist II, Global Action Alliance Inc., USA.
    Prithwiraj Roy, PhD., co-advised with Prof. Sajal Das, first employed as Data Scientist II, Global Action Alliance Inc., USA.
    Vijay Shah,, PhD., advised with Prof. Sajal Das and Prof. Simone Silvestri, first employed research assistant professor at Virginia Tech.
    Aditya Thakur, M.S., first employed at EMotorwerks, CA.
    Caleb Crooks K-12 student, pursuing B.S. at Renesslear Polytechnic, NY
    Samuel Rabick K-12 student, Kalamazoo Math and Science Center
    Tanmay Shekhar K-12 student, Kalamazoo Math and Science Center
    Anna Tai K-12 student, Kalamazoo Math and Science Center

    Awards:

  • Provost Graduate Fellowship, University of Central Florida, 2009.
  • Best paper award, IEEE PIMRC 2011
  • Army Research Office Travel Award, 2017.

    • Synergistic Activities

    TPC Member: IEEE ICNC 2016-2018; IEEE/IFIP Wireless Days 2016-2018, IEEE Cloud 2016-2018, IEEE BITS 2019-2020, ICDCN 2021
    Reviewer: IEEE TDSC, IEEE TCCN, IEEE TMC, IEEE INFOCOM, IEEE ICNP, ACM TOSN, IEEE S & P

    Teaching

    CS 5550 Computer Networks
    CS 6030 Science of Cybersecurity
    CYCS 5710 Network Security Fundamentals