Mid-Month Smart Action Application Window for Interdisciplinary Undergrad Programs Closes on 15th December. Apply Now Download Brochure
Apply Now E-Prospectus
Mallikarjuna| Vidyashilp University Faculty

Mr. M.Mallikarjuna

Assistant Professor,
Former Assistant Professor, R.V. College of Engineering, Bangalore
Former Assistant Professor, B.M.S Institute of Technology, Bangalore
Former Senior Associate Professor, REVA University, Bangalore
M.Tech (CSE) – Jawaharlal Nehru Technological University, Hyderabad, Telangana
Ph.D (Computer Science & Engineering) - Pursuing at Indian Institute of Technology
(Indian School of Mines), Dhanbad, Jharkhand, India
Mail| Mallikarjuna Vidyashilp University Faculty


Biography
Professional Education
Teaching Courses
Research Interests
Selected Publications
Biography

M. Mallikarjuna earned an M.Tech (CSE) from Jawaharlal Nehru Technological University, JNTU College of Engineering, Hyderabad, in 1996. Currently, he is pursuing a Ph.D. (CSE) from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He was a Ph.D (Computer Science) Research Scholar from the University of Hyderabad (Hyderabad Central University), Hyderabad, during the years from 2006-2010. He also holds an M.Sc.,(Solid State and Semi-Conductor Physics), in addition to Post Graduate Diploma in Computer Applications from JNTU College of Engineering, Anantapur, A.P. He served @CSE Dept, Rashtriya Vidyalaya College of Engineering (RVCE), Bengaluru, @CSE Dept, BMS Institute of Technology, Bengaluru, India, and @CSE/C & IT, REVA University, Bangalore for more than three decades. His areas of Research and Teaching include Wireless Sensor Networks, IoT, Machine Learning, Computational Intelligence, Data Mining, Operations Research, and Soft Computing. He is a Life Member of the ISTE and CSI Professional Bodies since 1998.

Professional Education
Ph.D (Computer Science & Engineering) - Pursuing @ Indian Institute of Technology (Indian School of Mines), Dhanbad- 2024. Area of Research: Wireless Sensor Networks
M.Tech (Computer Science & Engineering) 1996
M.Sc. (Solid State & Semi- Conductor Physics) 1987
Post Graduate Diploma in Computer Applications 1990
B.Sc. (Mathematics, Physics, Chemistry) 1984

Teaching Courses
  • Computer Networks
  • Operating Systems
  • Machine Learning
  • Data Mining
  • Operations Research
  • Computational Intelligence
  • Soft Computing

Research Interests
  • Wireless Sensor Networks
  • Internet of Things
  • Fog Computing
  • Edge Computing
  • Machine Learning
  • Federated Learning.

Selected Publications
  • An Integrated Mobility-Oriented Wireless Charging Scheme for Wireless Sensor Network, 2024 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT), 2024 | Conference paper, DOI: Read More, Contributors: Mathada, Mallikarjuna; Amgoth, Tarachand
  • A Hybrid Charging Scheme for Efficient Operation in Wireless Sensor Network, M. Mallikarjuna, Tarachand Amgoth, accepted in Springer WINE (Wireless Networks) Journal(Q2), IF:2.1
    Read More
  • Fuzzy-based Energy Aware Mobile Sink Mobility Models in Wireless Sensor Networks, Communicated, IEEE Sensor Journal, Final Round of Review, IF:4.5
  • Energy-Aware Unified Data Collection and Energy Replenishment in Industrial Mobile WSNs, M. Mallikarjuna, and Tarachand Amgoth, Communicated, IEEE Transactions on Consumer Electronics, IF:4.5
  • M. Mallikarjuna and T. Amgoth, “A hybrid - joint local and global path planning for obstacle aware mobile sinks in wireless sensor network,” Sustainable Computing: Informatics and Systems, Q1-IF:4.5, Elsevier, 2024
  • COVID-19 Perspective Diagnosis of Arrhythmia: A Machine Learning-Based Approach, 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 2024-03-15 | Book chapter, DOI: Read More, Contributors: M. Mallikarjuna; A Bharathi Malak Reddy
  • Self-Driving Car: Simulation of Highly Automated Vehicle Technology using Convolution Neural Networks, 4th International Conference on Innovative Trends In Information Technology (ICITIIT'23), IIIT Kottayam, 2023-03-21 | Conference paper, Contributors: Mallikarjuna Mathada; Aditya Bhosle
  • Routing Protocol Based on Bacterial Foraging Optimization and Type-2 Fuzzy Logic for Wireless Sensor Networks, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020-07 | Conference paper, DOI:
    Read More, ISBN: 9781728168517
  • Smart grids: A perspective on the integration and encapsulation of power energy systems with ICT systems—New research directions and challenges, 2017-08 | Conference paper
  • A first step towards Cognitive Computation, Computer Society of India, CSI - Communications Journal, 2019-06 | Book chapter, Contributors: Mallikarjuna Mathada
  • Universal Web Authentication System Using Unique Web Identity, Advances in Intelligent Systems and Computing, 2013 | Book chapter, DOI:
    Read More, Part of ISBN: 9788132210405, Part of ISBN: 9788132210412, Part of ISSN: 2194-5357, Part of ISSN: 2194-5365
  • A Novel Approach for Energy Efficient Data Aggregation Using Elephant Behavior as a Swarm Intelligence, Lecture Notes on Software Engineering, 2013 | Journal article, DOI:
    Read More, Part of ISSN: 2301-3559
  • Bio-Inspired Approach for Energy Utilization in Wireless Sensor Networks, Procedia Engineering, 2012 | Journal article, DOI:
    Read More, Part of ISSN: 1877-7058

M. Mallikarjuna earned an M.Tech (CSE) from Jawaharlal Nehru Technological University, JNTU College of Engineering, Hyderabad, in 1996. Currently, he is pursuing a Ph.D. (CSE) from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He was a Ph.D (Computer Science) Research Scholar from the University of Hyderabad (Hyderabad Central University), Hyderabad, during the years from 2006-2010. He also holds an M.Sc.,(Solid State and Semi-Conductor Physics), in addition to Post Graduate Diploma in Computer Applications from JNTU College of Engineering, Anantapur, A.P. He served @CSE Dept, Rashtriya Vidyalaya College of Engineering (RVCE), Bengaluru, @CSE Dept, BMS Institute of Technology, Bengaluru, India, and @CSE/C & IT, REVA University, Bangalore for more than three decades. His areas of Research and Teaching include Wireless Sensor Networks, IoT, Machine Learning, Computational Intelligence, Data Mining, Operations Research, and Soft Computing. He is a Life Member of the ISTE and CSI Professional Bodies since 1998.

Ph.D (Computer Science & Engineering) - Pursuing @ Indian Institute of Technology (Indian School of Mines), Dhanbad- 2024. Area of Research: Wireless Sensor Networks
M.Tech (Computer Science & Engineering) 1996
M.Sc. (Solid State & Semi- Conductor Physics) 1987
Post Graduate Diploma in Computer Applications 1990
B.Sc. (Mathematics, Physics, Chemistry) 1984
  • Computer Networks
  • Operating Systems
  • Machine Learning
  • Data Mining
  • Operations Research
  • Computational Intelligence
  • Soft Computing
  • Wireless Sensor Networks
  • Internet of Things
  • Fog Computing
  • Edge Computing
  • Machine Learning
  • Federated Learning.
  • An Integrated Mobility-Oriented Wireless Charging Scheme for Wireless Sensor Network, 2024 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT), 2024 | Conference paper,
    DOI: Read More, Contributors: Mathada, Mallikarjuna; Amgoth, Tarachand
  • A Hybrid Charging Scheme for Efficient Operation in Wireless Sensor Network, M. Mallikarjuna, Tarachand Amgoth, accepted in Springer WINE (Wireless Networks) Journal(Q2), IF:2.1
    Read More
  • Fuzzy-based Energy Aware Mobile Sink Mobility Models in Wireless Sensor Networks, Communicated, IEEE Sensor Journal, Final Round of Review, IF:4.5
  • Energy-Aware Unified Data Collection and Energy Replenishment in Industrial Mobile WSNs, M. Mallikarjuna, and Tarachand Amgoth, Communicated, IEEE Transactions on Consumer Electronics, IF:4.5
  • M. Mallikarjuna and T. Amgoth, “A hybrid - joint local and global path planning for obstacle aware mobile sinks in wireless sensor network,” Sustainable Computing: Informatics and Systems, Q1-IF:4.5, Elsevier, 2024
  • COVID-19 Perspective Diagnosis of Arrhythmia: A Machine Learning-Based Approach, 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 2024-03-15 | Book chapter,
    DOI: Read More, Contributors: M. Mallikarjuna; A Bharathi Malak Reddy
  • Self-Driving Car: Simulation of Highly Automated Vehicle Technology using Convolution Neural Networks, 4th International Conference on Innovative Trends In Information Technology (ICITIIT'23), IIIT Kottayam, 2023-03-21 | Conference paper, Contributors: Mallikarjuna Mathada; Aditya Bhosle
  • Routing Protocol Based on Bacterial Foraging Optimization and Type-2 Fuzzy Logic for Wireless Sensor Networks, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020-07 | Conference paper,
    DOI: Read More, ISBN: 9781728168517
  • Smart grids: A perspective on the integration and encapsulation of power energy systems with ICT systems—New research directions and challenges, 2017-08 | Conference paper
  • A first step towards Cognitive Computation, Computer Society of India, CSI - Communications Journal, 2019-06 | Book chapter, Contributors: Mallikarjuna Mathada
  • Universal Web Authentication System Using Unique Web Identity, Advances in Intelligent Systems and Computing, 2013 | Book chapter,
    DOI: Read More, Part of ISBN: 9788132210405, Part of ISBN: 9788132210412, Part of ISSN: 2194-5357, Part of ISSN: 2194-5365
  • A Novel Approach for Energy Efficient Data Aggregation Using Elephant Behavior as a Swarm Intelligence, Lecture Notes on Software Engineering, 2013 | Journal article,
    DOI: Read More, Part of ISSN: 2301-3559
  • Bio-Inspired Approach for Energy Utilization in Wireless Sensor Networks, Procedia Engineering, 2012 | Journal article,
    DOI: Read More, Part of ISSN: 1877-7058
Study at VU