Assoc. Prof. Anchit Bijalwan

Assoc. Prof. Anchit Bijalwan

Assoc. Prof. Anchit Bijalwan

Dr. Anchit Bijalwan is an academician, researcher, consultant and mentor with 15 years of teaching experience for graduate, postgraduate students, and Ph.D. He successfully completed many projects from the UN, DST and AMIT.

Dr. Anchit has authored two books and published more than forty research papers in reputed international journals and conferences.  He is also working on various international research and community service projects. His specialization is in Privacy & Security. His interest areas include network forensics, botnet forensics, Industry 4.0, Internet of Things, and machine learning.

He has chaired the technical sessions for IEEE international conferences as well as Springer conferences and he is also a committee member for umpteen conferences. He was a keynote speaker of the IEEE conference which was held in El Salvador, Central America. His research interests include IoT, network security & privacy, Botnet forensics. He is a reviewer of Inderscience, IGI Global and many other publishers.

 

ACADEMIC QUALIFICATIONS

  • Doctor of Philosophy (2012 – 2016)

Computer Science and Engineering

Uttarakhand Technical University, Dehradun (UK), India

Thesis: Investigation of Botnet Attacks.

  • Master of Technology (2010 – 2012)

Computer Science

CISCO Certified Network Associate (2007)

  • Bachelor of Engineering (1998-2002)

Computer Science and Engineering

PROFESSIONAL APPOINTMENTS

  • British University Vietnam (BUV) (2022 – Current)
  • Arba Minch University (Ethiopia)

Associate Professor (2017 – 2022)

Faculty of Electrical and Computer Engineering

  • Uttaranchal University, Dehradun (India)

Associate Professor (2012 – 2017)

Head of Department, Department of computer Science and Engineering

 

RESEARCH AREAS / FIELDS

  • Privacy and security
  • Botnet Forensics, Network Forensics
  • Machine Learning

 

BOOK PUBLICATION

  • Anchit Bijalwan (2021)

“Network Forensics: The Privacy & Security”, Taylor & Francis (CRC Press), ISBN: 9780367493615.

 

RESEARCH PUBLICATIONS

  •  AK Mishra, MC Govil, ES Pilli, & A Bijalwan (2022)

“Digital Forensic Investigation of Healthcare Data in Cloud Computing Environment,” Journal of Healthcare Engineering, vol. 2022, doi.org/10.1155/2022/9709101 [SCIE, Scopus]

  • G. Agarwal, A. Dumka, M. Singh, & A. Bijalwan (2022)

“Accessing Usability and Accessibility of Indian Tourism Websites for Visually Impaired”, Journal of Sensors, vol. 2022.  [SCIE, Scopus]

  • P. Kaur, A. Awasthi, & A. Bijalwan (2021)

Evaluation of feature selection techniques on network traffic for comparing model accuracy” International Journal of Computational Science and  Engineering, Inderscience. DOI: 10.1504/IJCSE.2021.10033507 [ESCI, Scopus, DBLP]

  • A. Bijalwan (2020)

Botnet Forensic Analysis Using Machine Learning Approach,” Security and Communication Networks, vol. 2020. doi.org/10.1155/2020/9302318 [SCIE, Scopus, DBLP]

  • A. Bijalwan, S. Sando, & M. Lemma (2019)

“An Anatomy for Recognizing Network Attack Intention”, International journal of recent technology & Engineering, vol 8, 2019. DOI:10.35940/ijrte.C4022.098319 [Scopus]

  • A. Bijalwan, V. K. Solanki, and E. S. Pilli (2018)

“Botnet Forensic: Issues, Challenges and Good Practices,” Network Protocols and Algorithms, vol. 10, no. 2, 2018. [DBLP (ACM)]

RESEARCH & CONFERENCE PRESENTATIONS / EXHIBITIONS

  • Bijalwan, A. (2019)

Design & Issues for Recognizing Network Attack Intention(Keynote Address)

2019 Research in Intelligent and Computing in Engineering (RICE), Springer

Vietnam.

  • Bijalwan, A. (2018)   – (Keynote Speaker)

Botnet Forensics

2018 Research in Intelligent and Computing in Engineering (RICE), IEEE

Universidad of Don Bosco, El Salvador, Central America.

  • Bijalwan, A. (2018)

Adhesive Model for Collection and Auto Storage of Colossal Health Data for Epidemiological Studies

2018 Research in Intelligent and Computing in Engineering (RICE), IEEE

Universidad of Don Bosco, El Salvador, Central America.

 

RESEARCH GRANTS

  • Bijalwan, A. (2018)

Network Forensic Analysis for Securing confidential data using Machine Learning, Funded by AMIT (147,631 ETB)

  • Bijalwan, A, & Singh, B. (2020)

UN Community Service Fund, AMIT

Designing temporary & fast paced treatment center for covid-19 (120,000 ETB)

AWARDS & HONOURS

  • International Researcher Award (2021)

International Research Association, London, UK

  • Editorial Member 

International Journal of Application or Innovation in Engineering & Management (IJAIEM)

  • Membership

Association for Computing Machinery (ACM), Membership id 7077389

Computer Society of India

International Journal of Computer Applications in Technology (Inderscience)

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