Gojan School of Business and Technology

GOJAN SCHOOL OF BUSINESS AND TECHNOLOGY

Approved by A.I.C.T.E. New Delhi & Affiliated to Anna University, Chennai

NAAC Accredited Institution Recognized by UGC u/s 2(f) & 12(B) of the UGC Act

80 Feet Road, Edapalayam, Redhills, Chennai – 600 052

ADMISSION OPEN FOR 2024-2025 APPLY NOW         ACADEMIC CALANDER 2024-2025         TRANSPORT DETAILS 2024

GOJAN
SCHOOL OF BUSINESS AND TECHNOLOGY

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Approved by A.I.C.T.E. New Delhi & Affiliated to Anna University, Chennai NAAC Accredited Institution Recognized by UGC u/s 2(f) & 12(B) of the UGC Act

80 Feet Road, Edapalayam, Redhills, Chennai – 600 052

ADMISSION OPEN FOR 2024-2025 CLICK HERE TO APPLY NOW

B.E-Medical Electronics Engineering

About The Department

The Department of Medical Electronics was established in the year 2022, with a sanctioned intake of 30. The Medical Electronics Department offers a 4 year B.E Medical Electronics Programme which is affiliated to Anna University. Medical Electronics is a branch framing a bridge between Electronics and Medicine which included major Electronics and Communication curriculum. The department has highly qualified and well experienced faculty and skilled technical staff. Medical Electronics engineers are the one who design devices and measures that solve medical and health-related problems by combining their knowledge of biology and medicine with engineering principles and practices.  A Medical Electronic Engineer finds immense employment opportunities in medical equipment manufacturing companies, sales & service sector of medical devices, IT companies which deal with medical software. Biomedical Engineer in hospital is another area where there is an unlimited demand. 

Vision & Mission

Vision

Mission

HOD & Faculty

Department Faculty

S.NO Name Designation
1
Ms. Santhya M
Assistant Professor
2
Mr. Nandhakumar K
Assistant Professor
3
Mr. Senthilkumar S
Assistant Professor
4
Ms. Reema R
Assistant Professor
5
Ms. Evangeline Seles J L
Assistant Professor

Laboratory

1. BM3271 - BIOSCIENCES LABORATORY

2. BM3361 FUNDAMENTALS OF ELECTRONIC DEVICES AND CIRCUITS LABORATORY

3. MD3411 ANALOG AND DIGITAL ELECTRONICS LABORATORY

4. MD3412 BIOMEDICAL SENSORS AND INSTRUMENTATION LABORATORY

5. BM3562 EMBEDDED SYSTEMS AND IOMT LABORATORY

6. BM3561 DIAGNOSTIC AND THERAPEUTIC EQUIPMENT LABORATORY

PEOs , PSOs ,POs

Program Educational Objectives (PEOs)

PEO 1 : Graduates will demonstrate expertise in medical electronics engineering by applying fundamental principles to analyze, design, and implement innovative solutions for healthcare challenges.

PEO 2 : Graduates will contribute effectively to the healthcare industry by integrating medical electronics systems into existing healthcare infrastructures, improving patient care, and supporting healthcare professionals.

PEO 3: Graduates will actively engage with the community to understand healthcare needs and contribute to the development of solutions that address local and global health issues.

Program Specific Outcomes (PSOs)

  1. Graduates should be able to design, analyze, and implement medical instruments and devices, considering the specific requirements and constraints of healthcare applications.

2. Graduates should be able to design and implement medical imaging systems, understand the principles of various imaging modalities, and apply them to medical diagnostics and treatment

3. Graduates should have the ability to design, implement, and manage healthcare information systems, including electronic health records (EHR), telemedicine platforms, and health monitoring systems.

Program Outcomes (POs)

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Course Outcomes

Gojan School Of Business And Technology Department Of Medical Electronics Engineering

EC3354 SIGNALS AND SYSTEMS

COs
Course Out comes
CO1
Describe and understand fundamental concepts related to signals and systems, including time-domain and frequency-domain representations.
CO2
Apply Fourier series and Fourier transform to analyze signals in the frequency domain. Understand the concept of Laplace transform and its applications in system analysis.
CO3
Understand the concept for the analysis of Linear Time Invariant-Continuous Time Systems for time and frequency domains
CO4
Understand the concept to Analyze the Discrete Time Signals
CO5
Understand the concept for the analysis of Linear Time Invariant-Discrete Time Systems for time and frequency domains

BM3352 ELECTRIC CIRCUIT ANALYSIS

COs
Course Outcome
CO1
Analyze the basic electrical concepts of voltage, current, resistance, power as well as Ohm’s Law and Kirchhoff’s Law to solve basic AC and DC circuit problems
CO2
Apply network theorems, including Thevenin’s theorem, Norton’s theorem, Superposition theorem, and Maximum Power Transfer theorem, to solve practical engineering problems and also gain a deep understanding of network duality to address complex electrical system issues
CO3
Apply the skills of assessing AC circuits, constructing phasor diagrams, and executing power analysis to calculate essential parameters, demonstrating a grasp of the significance of complex power in electrical systems
CO4
Analyze the behavior of basic RL and RC circuits to assess transient responses in driven RL and RC circuits, as well as comprehend the concept of resonance in electrical systems
CO5
Analyze the magnetically coupled circuits and grasp the principle of mutual inductance to learn the operation and characteristics of both linear and ideal transformers

BM3353 FUNDAMENTALS OF ELECTRONICS DEVICES AND CIRCUITS

COs
Course Out comes
CO1
Understanding semiconductor electronic devices,principles,and characteristics of electronic components (diodes, transistors), and their applications in circuits.
CO2
Apply Proficiency in analyzing and designing basic electronic circuits using devices like diodes, BJTs (Bipolar Junction Transistors)
CO3
Construct the characteristics and behavior of semiconductor materials and devices.
CO4
Compare the characteristics of special semiconductor device
CO5
Evaluating the performance and limitations of various electronic devices in practical applications

BM3351 ANATOMY AND HUMAN PHYSIOLOGY

COs
Course Outcome
CO1
integrate the individual functions of all the cells and tissues and organs into functional whole, the human body.
CO2
understand the structure and functional anatomy of the skeletal and muscular system.
CO3
emphasize on the cardiovascular and respiratory system and their interrelatedness.
CO4
emphasize on the urinary and digestive system and their interrelatedness.
CO5
stimulate the students to understand the basic functioning of nervous system and the resultant unified organization.
CO6
understand the functions of sensory systems

CS3391 OBJECT ORIENTED PROGRAMMING

COs
Course Outcome
CO1
Apply the concepts of classes and objects to solve simple problems
CO2
Develop programs using inheritance, packages and interfaces
CO3
Make use of exception handling mechanisms and multithreaded model to solve real world problems
CO4
Build Java applications with I/O packages, string classes, Collections and generics concepts
CO5
Integrate the concepts of event handling and Java FX components and controls for developing GUI based applications

Department Advisory Committee (DAC)

Gojan School Of Business And Technology Department Of Medical Electronics Engineering

A Department Advisory Committee (DAC) for the Department of Medical Electronics Engineering is a group of individuals typically composed of experts, professionals, and stakeholders who provide guidance, insights, and advice to the department. The committee plays a crucial role in ensuring the quality and relevance of the department’s academic programs, research activities, and overall strategic direction.

Roles And Responsibilities Of The Departmental Advisory Committee (DAC)

1. Contribute to the development and review of the department’s strategic plan.
2. Provide insights on long-term goals and objectives that align with industry trends and societal needs.
3. Review and evaluate the department’s academic programs to ensure they meet current industry standards and are aligned with technological advancements.
4. Provide recommendations for program improvement and development.
5. Advise on the design and modification of academic curricula to ensure they remain relevant and responsive to industry needs.
6. Identify opportunities for internships and industry partnerships.
7. Advise on strategies to enhance the employability of graduates and provide recommendations for incorporating practical, hands-on experiences into the curriculum.
8. Provide feedback on accreditation processes and quality improvement initiatives.
9. Support initiatives for faculty and staff professional development and Offer guidance on training and certifications relevant to industry needs.
10. Periodically evaluate the effectiveness of the DAC in fulfilling its responsibilities.
11. Prepare reports summarizing recommendations and outcomes of DAC meetings.
12. Foster open communication between the DAC, department faculty, students, and other stakeholders.

Following are the members of the DAC:-

S.NO NAME ROLE AND DESIGNATION
1
Dr.C.Selvakumar
PRINCIPAL
2
Dr.G.Arunsankar
DIRECTOR -Academic Affairs
3
Mr.R.Ramadhurai
DIRECTOR – Student Affairs
4
Mr.L.Suresh Raj
IQAC HEAD
5
Dr.S.Sathya
HOD
6
Mr.Vijayarangan
PARENT REPRESENTATIVE

Board of Studies

The Board Of Studies (BOS) for medical electronics engineering is a critical body responsible for overseeing and ensuring the quality, relevance, and currency of academic programs in medical electronics engineering. The BOS typically consists of academic experts, professionals from the industry, and other stakeholders.

1. The Head of the Department as Chairman.
2. All Professor / Associate Professor / Assistant Professor of the Department.
3. One senior professor to be co-opted by the BoS from other department nominated by the Director in consultation with Head of Department (If necessary).
4. One subject expert (ACADEMIC) nominated by the Director on the recommendation of the Head of concerned Department.
5. One subject expert (R&D / INDUSTRY) nominated by the Director on the recommendation of the Head of concerned Department.
6. In addition to the above members, One Senior Alumni (ACADEMIC / R&D / INDUSTRY) to be co-opted by the BoS nominated by the Director in consultation with Head of the Department. (If necessary).

Constitution And Functions Of Board Of Studies:

  • The BoS shall be constituted by the department for a period of THREE years.
  •  The meetings of the BoS shall be arranged at least ONCE IN A YEAR.
  • The members of the BoS will be nominated by the Director from the list recommended by the Head of the department
  •  In the absence of the Chairman (BoS), the senior member of the BoS will act as Chairman with the director’s approval.
  • The BoS shall co-opt experts in a particular field as a member of BoS with prior approval of the Director
  •  The Board of Studies shall have a power:

Journal and Publications

Authors Title Publication Yeart
Madhusudhanan, S; Jyothi, NM; Vishnukumar, A; Sathya, S; Arun Vignesh
Study of Various Word Vectors for Sentiment Analysis
Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022
2022
Madhusudhanan, S; Jyothi, NM; Vishnukumar, A; Sathya, S; Arun Vignesh
An Ensemble Sentiment Classification on Multidomain Dataset
Proceedings of the 6th International Conference on Advance Computing and Intelligent
2022
Tsehay Admassu Assegie, Thulasi Karpagam, Sathya Subramanian, Senthil Murugan Janakiraman
Prediction of patient survival from heart failure using a cox-based model
Indonesian Journal of Electrical Engineering and Computer Science, (SCOPUS)
2022
Madhusudhanan, S; Jyothi, NM; SenthilMurugan, J; Sathya, S
Influence of Diverse Feature Selection Methods in Sentiment Analysis
ECS Transactions
2022
Dr.Ravi Boda,Ms. A. Deepa Lakshmi ,Dr. P.Yamunaa ,Chinu Dr. S Sathya , Dr. Syed Azahad ,R B R Prakash, Dr.J.Senthil Murugan;
Smart Parking System Using AI of Things (AIOT)
Patent 202241024357A
2022
Mahalakshmi, Dr.J.Senthil Murugan ,Dr.S.Sathya Dr.Selvarani.P
An Dual-Threshold Method with Multi-Class Support Vector Machine for Oil Spill Detection in Ocean
Design Engineering
2020
S.Sathya, Rajaram, A. Ajith Kumar, R.Naveenraj
Identification and Destroying the Growth Gourmet Tree to Increase Ground Water Level
International Journal of Engineering Research & technology
2019
Murugan, S.Sathya M.Anand M Janakirani J Senthil;
RF MEMS Design and Fabrication Process for Communication
International Journal of Innovative Technology and Exploring engineering
2017
Murugan, J Senthil; Parthasarathy,V; Sathya, S; Anand, M;
A recent improvementsin quantum model & counter measures in Quantum Computing
International Journal of Innovative Research in computer & Communication Engineering. ISSN
2017
S.Sathya , M Anand
Design and develop a Novel DC-DC Power Converter using SUGAR Simulator
International Journal of Control Theory and Application
2017
S.Sathya M.Anand G Saravanakumar;
Design and Develop A Two-Switch Mechanism Based MEMS Switch is developed for high power applications
Journal of Advanced Research in Dynamical and Control Systems
2017
S.Sathya M.Anand M.Janakirani
A Low-Complexity Based RF-MEMS Switches for the Aspects of MMIC Integration
International Journal of Pure and Applied Mathematics
2017
S. No Name of Author Title Publication ISBN No Link Publication date
1.
1. J. Senthil Murugan, 2. S.Venkat, 3. S.Sathya, 4. K.Prabu.
Automatic Pill Recognition and Recommendation System Using Deep Learning techniques
Data Analytics and Artificial Intelligence Vol: 2(4), 2022 REST Publishe rs DOI: https://doi.org/10.466 32/daai/2/4/3
ISBN No.:978- 81-948459-4-2 Page No: 15
http://restp ublisher.co m/book series/data analytics and-ar tificial intelligence
December 2022