Achal Kumar

About

Achal Kumar has been working as Assistant Professor of Computer Science & Engineering since February, 2005. He is nurturing the students of under graduate with his specialization in Image Processing, Wireless Sensor Networks, Cryptography & Network Security and students have developed many real life projects under his guidance. He is continuously imparting his best to the students, institution & society with his sincerity, hard work & devotion to achieve the pinnacle of India as a developed nation.

Experience

19+ Years

Qualification

Ph.D.(Pursuing), M.Tech.(CSE), B.Tech.(CSE)

Award & Recognition

• Got Two times Vishisth Shikshak Samman of SGI (Sharda Group of Institutions) in department of Computer Science & Engineering in 2006 & 2010.

Research

Research Papers:

• Sunil Ghildiyal1, Vinay Kumar Singh2, Amitabh Padmanabhan3, Achal Kumar4, Jaibir Singh5, Suman Rani6 “Predicting Student Mental Health with a Data-Driven Approach to Early Intervention and Artificial Intelligence” Metallurgical and Materials Engineering,  Vol. 31 No. 5 (2025) Web of Science.
• Viney Sharma, Achal Kumar (2025) “Machine Learning based Decision Tree for Hotspot Prediction in Cloud Computing Environment”, ICIC 2025, CEC Mohali, CRC Press (Presented. Likely to be online in August 2026)
• Viney Sharma, Achal Kumar (2025) “A Framework for Server Performance Analysis in Cloud Datacenter: A Systematic Study using Memoryless Open Queuing System”, ICIC 2025, CGC Mohali, CRC Press. Likely to be online in August 2026.
• Viney Sharma, Achal Kumar (2024) “Machine Learning and Data Analytics Driven Model for Income Tax Rebate Estimation:  A Neoteric and Benign Approach" in    4h International Conference on Computational Methods in Science & Technology 2-3 may 2024 at CEC Punjab. Proceeding to be published in Scopus indexed series by Taylor & Francis Group (CRC) (Scopus). https://www.taylorfrancis.com/chapters/edit/10.1201/9781003501244-52/machine-learning-data-analytics-driven-model-income-tax-rebate-estimation-neoteric-benign-approach-viney-sharma-achal-kumar-archana-singh-manish-kumar
• Research Paper on “A Survey of Energy Efficient Routing Protocols for Wireless Sensor Networks” in Journal of Emerging Technology and Emerging Research (JETIR) December 2018, ISSN 2449-5162, Volume5, Issue 12.
• Research paper on “Information Security using Color Image Watermarking” in MATRIX Academic International Journal online journal of Engineering & Technology (MAIOJET) in April 2014 Edition Volume II, Issue I.

Workshops/ Seminars

• Workshop on “Open-Source GIS Solution for GIO Spatial Domain” at Hindustan Institute of Technology & Management, Agra from 2-3 Nov. 2012
• Workshop on “Wipro Mission10X” conducted at Anand Engineering College, Agra from 27^th Feb.-03 March 2012
• Short Term Course on “Formal Methods & its Techniques” held in Anand Engineering College, Agra on 11-13 March 2011
• Paper presented on Computational Finite Automata & Turing Machine in “Emerging Trends in Computing Through IT Enabled Systems” (ETCIETS-09) National Seminar at Anand Engineering College, Agra from 7-8 Feb. 2009     
• Workshop in the Indo-US Advanced School on “Quantum & Nano Computing Systems & Applications” held at Dayalbagh Educational Institute, Agra from December 11-14, 2008
• National Seminar on “Artificial Intelligence” (28-29 April 2007) at H.C.S.T Farah Mathura
• Workshop on “Emerging Trends in Telecommunications” Organized by Dept. of Information Technology (23-24 March 2006) at Anand Engineering College Agra
• Short term program in Bioinformatics (14-16 Oct 2006) at Anand Engineering College Agra

Patents:   

• Patent Title: A software-based system and method for automated tracking of gender representation and bias in media content using image processing and facial analysis
  • Patent Number/Status: IN202611032742 A1 / Published
  • Year: 08-05-2026
• Patent Title: Machine Learning-Based Device for Remote Patient Monitoring and Real-Time Vital Alerts” Design No. 467407-001
• Patent Number/Status: Design No. 467407-001/ Design
• Year: 26-07-2025
• Patent Title: Deep Learning Framework for accurate Sugar Plant Disease Detection & Segmentation”
• Patent Number/Status: 202511011281 / Published
• Year: 11-02-2025
• Patent Title: Enhance Agricultural Efficiency & Sustainability with the implementation of an IOT-based Smart Irrigation System
• Patent Number/Status: 202411040816 / Published
• Year: 26-05-2024
• Patent Title: A Secured Image Encryption System based on Two level Security using Hybrid of Cryptography & Watermarking Schemes for IOT Device.
• Patent Number/Status: 202421032089 / Published
• Year: 23-04-2024
• Patent Title: AI based Chatbot System for Healthcare & Disease Detection Model
• Patent Number/Status: 202411068446A / Published
• Year: 11-09-2024

• Patent Title: I-Neuro: Efficient IOMT based Seizure Detection based on Machine Learning
• Patent Number/Status: 202111052089 A / Published
• Year: 24-12-2021

NPTEL Courses Completed

• Machine Learning (8 Weeks)
• Theory of Computation (8 Weeks)

Certifications

Certification in Machine Learning from Huawei

Area of Interest

Wireless Sensor Networks; Image Processing, Theory of Computation, Design & Analysis of Algorithms, Compiler Design, AI &Machine Learning, Cryptography & Network Security.