International Fees Structure

Deputy Director (Academic cooperations and exchange programs)

As a Deputy Director of Office of International Affairs, Prof Vanisha Nambiar (M.Sc, Ph.D., Nutrition), a full-time Professor in the Department of Foods and Nutrition of this University, works in tandem with the Director of Office of International Affairs in all global engagements of The Maharaja Sayajirao University of Baroda.

Deputy-Director – Office of International Affairs:
vanisha.nambiar-fn@msubaroda.ac.in
M:+91968760593

Nodal Officer (Faculty of Social Work)
M: +919913348243

Assistant Professor
B.A. Psychology, MSW, PGDCCP, UGC- NET
Experience: Teaching: 1 Years, Research: 3  Years.
Areas of Interest: Gender Studies, Community Organisation, Mental Health.
Email: jijo.abraham-sw@msubaroda.ac.in

Problem 4

Optimal Cutting and Wastage management in Fabric

Mr. Manan Desai, CEO
Tech Shivam Industry, 791, G.I.D.C., Makarpura, Vadodara – 390010
WEB:- www.techshivam.com ,Email : techshivamind@yahoo.co.in
Ph : +919879064446

Tech Shivam Industries, are 50 year old textile machine manufacturing company. We have successfully manufactured over 5000 machines for fabric processing and weaving mills in countries like India, Bangladesh and Africa. We are pioneer in manufacturing fabric inspection and folding machine in India. You may visit www.techshivam.com for more details.

Problem :-

Fabric manufacturing is high volume continuous process. Here, occurrence of  manufacturing defects are happened due to man(handling), machine or material defect and looking into size and volume of fabric manufacturing industry. An automated and cost effective solution for accurate fabric defect management and optimisation is required.

Such solution should be achieved with mathematical algorithmic software, where  rules of cutting should be set and reset as per market’s or client’s requirements. So that fabric can be easily classified as first, second or third grade. Here we believe mathematical solution will play a vital  role in fabric defect optimisation and cutting solution.

Additionally, here I would like to add that fabric wastage management software should be easy in understanding for Indian labour and management is key of success.

Problem 8

Build a Model for Fundamental & Price Momentum

Pranav Bhavsar
Founder, ASA Capital

Vadodara

Explore relationships between fundamental and price momentum to build a predictive stock return model. The fundamental variables to be considered are balance sheet and income statement variables like Sales, EBIDTA, Cash Flow, Return on Equity, etc. The Model should be able to determine Quarterly and Yearly Fundamental momentum. The Final Output of the fundamental Model should be to identify stocks that are suitable for a Long Book (Buying) and Stocks that are suitable for a Short Book (Selling).

The model could incorporate additional data points such as price and volume, Consensus estimates, Earnings revisions in order to define an entry or exit signal.

The combination of Fundamental Financial data along with usage of price volume and earnings estimates will make this problem unique to address.

Problem 7

Traffic Model Scenario: Over-Crowded Cities

Dr. Matti Heilio
Lappeenranta University of Technology, Lappeenranta
Finland

The objective is to develop a traffic model for the case in an urban culture that is typical in over-crowded cities, third world etc.We mean a traffic which is a mixture of several types of vehicles, like motorbikes/three-wheelers and cars, buses, trucks. The context is also that of high to extreme congestion where the capacity of the road is a constraint and the mutual interaction between the traffic flow components is an issue.

The traffic-character of each vehicle category is quite different, for instance there is a huge swarm of motorbikes that are flowing amidst the passenger cars using arbitrary routes, zig-zagging across lanes, packing/unpacking in temporary parallel strings etc. The flow of the motorbike-swarm no doubt affects the cars and vice versa even more.

The ability to accelerate/decelerate is large etc. This kind of traffic is especially interesting on road section with traffic lights, where the queue-formation and take off after green light is an important transient event. One would like to generate novel(?) ideas about how to model such traffic behavior.

It is recommended to simplify the problem at first so that we have just two types of vehicles, cars and motorbikes. The interesting features that the model hopefully can approximately describe are events of short transient character at traffic lights (queue buildup at read light and the burst-forward after green light) or when the traffic flow meets an obstacle essentially narrowing the road. One could try both discretized models and/or ideas based on continuum flows.

About the motivation: The model can be seen as a small component in a more long term study of the performance of a traffic system which consists of these “competing” vehicle types. Can a road carry a bigger number of passengers per hour? How about average travel times as the bikes are understandably much faster in congested areas.

Problem 6

In-Situ Metrology of Medical Devices

Mr. Sudhir Nambiar
Adaptive Ocular Sciences Pvt. Ptd.
plot no : 11,chandradeep industriul est.,NR,
Chitra Gujarat Industrial Development Corporation, Bhavnagar, Gujarat, India

Contact lenses and foldable Intra Ocular Lenses are medical devices that need to be machined in a DRY state (Single Point Diamond Turning of Hydrophilic Acrylics HEMA). These are then hydrated in normal saline to make them soft. This process of hydration results in the dry parameters of the lens, like radius of curvature (power) and thickness of the lens getting altered due to the uptake of saline.  The swelling of the lens is dependent on multiple factors but mostly on the linear and radial expansion factor of the material being used.

The industry is faced with a challenge of measuring the dimensions of the lens namely its CT (Center Thickness). ET (Edge Thickness) and Radius of Curvature in a liquid (saline) medium. These lenses tend to dry out fast if taken out of saline thus altering their dimensions. The soft nature of the lens is not conducive to contact measurements as this can result in wrong readings.

A possible method that could be used to avoid these measurement difficulties is to develop an OCT system that can measure these parameters inside a saline medium like a cuvet / bath. The resolution should be within a micron or two to make the measurement useful. Measurement range is between 40 to 1500 microns. Area of interest is within 14mm. Sag varies between the two medical devices. Contact lenses have a higher Sag compared to Intra Ocular Lenses.

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Problem 5

Gridded Climate Data for Local Scale

Dr. Sanskriti Majumdar
Mr. Chirayu Pandit
Institute of Climate Change Research
The Maharaja Sayajirao University of Baroda

The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation gives a definition, stating that “an extreme (weather of climate) event is generally defined as the occurrence of a value of a weather or climate variable above (or below) a threshold value near the upper (or lower) ends of the range of observed values of the variable”.

Extreme rainfall, temperatures have direct effects on various fields like health, agriculture, water resources etc. Flash floods in urban area are the result of extreme rainfall which affects infrastructure, health and economy of the city.

Most of meteorological/climate data available through different agencies/institute are in gridded format like General Circulation Model (GCM), TRMM.

It is noted that when doing extreme rainfall analysis to study the behaviour of changes in the extreme events, using real or actual station data is more realistic than the gridded data. In particular, when using gridded data extreme events will be missed in most of the occasions due to interpolation or averaging scheme used in gridding. This can then give misleading information regarding the signals of hydrological extremes needed for better disaster management.

It is also found that Gridded data performs well at country level and regional level but when it comes to local scale or micro scale problems, like at urban administrative boundary level, there are more uncertainties in performance of the models.

Objective

• How to preserve extreme values in methods of gridding and downscaling and interpolation.
• How to enhance ‘performance’ of Gridded datasets at local scale

Problem 3

To Predict The Electromagnetic Interference Shielding Effectiveness Of Textile Composite Material

Mr. Dinesh Chudasama
Dr. Satyajeet Chaudhari

The trend in today’s electronic devices is more faster. Any electrical or electronic apparatus such as high voltage power lines, radar, communication system, radios, televisions, household appliances, computer, mobile phones etc generates electromagnetic waves, that are produced when an electric field comes in contact with the magnetic field. Today’s high-tech electronic gadgets,not only bring us convenience but also many negative effects. These electromagnetic waves create electromagnetic interference to the electrical circuits and also adversely affect human health after prolong exposure. When electromagnetic waves enter the human body, it will destruct cell’s regeneration of DNA and RNA. Furthermore, it causes cancer, brain tumor, heart attack and skin diseases etc.

Electromagnetic Interference is encountered by all of us in our daily life and are expected to face exponential rise in future due to the growing number of wireless devices and standards including cell phones, GPS, Bluetooth, WIFI, etc. Electromagnetic Interference (EMI) is the disturbance that affects the working of an electrical circuit due to either electromagnetic induction or electromagnetic radiation emitted from an external source. This disturbance may interrupt, obstruct or degrade the effective performance of circuit. The simplest way of protection from electromagnetic waves is to stay away from it but this is not always possible in real life.

The most effective method of protection from electromagnetic waves is the use of shielding or electromagnetic shielding material. Shielding is typically applied to enclosure to isolate electrical devices from the outside world and cable to isolate wire from environment through which the cable runs. Electromagnetic shielding is a conductive barrier that completely envelops an electronic device to protect from environmental interference or to stop emission from the device itself interfering with other devices. In other words, electromagnetic shielding is the practice of reducing the electromagnetic field in a space by blocking the field with barriers made of conductive or magnetic materials. Motivated by the increase of stress over electromagnetic pollution issues arising from the fast-growing development and need for electronic and electrical devices, the demand for material with high electromagnetic interference shielding performance has become more urgently.

The common material used for construction of enclosure for shielding is metal such as copper, brass, aluminium, silver, nickel, stainless steel etc. Although such material has good shielding performance but it has some disadvantages like low elasticity, heavy weight, high costs, easy to corrode etc.

So, there was a need of material which is light weighted, flexible, corrosion resistant and cheap. Textile material fulfils all these requirements. But textile materials are electrically nonconductive. So, it was necessary to make it electrically conductive. These are various methods available for imparting electrical properties to textile material such as magnetron sputtering, coating of fabric with metal, incorporating conductive fibres or yarns in fabric etc.

In our experiment, a commercially available polyester-cotton(PC) blended fabric is chosen and to make the fabric electrically conductive, its surface is coated with silver metal using magnetron sputtering technique.

Three different PC blended fabric sampleswas coated with 1, 3, and 5 micro meter thickness of silver to make fabric electrically conductive and then they were tested as per the ASTM D4935 method for  electromagnetic interference shielding effectiveness test.From the experiment it was observed that shielding effectiveness increases by increasing the thickness of silver coating.

Performing the experiment every time, to know electromagnetic interference shielding effectiveness of given material,will be costly and time-consuming process. So, mathematical model and simulation will avoid the actual experimentation and helps in designing the more suitable material in faster way.

Therefore, our objective is to develop the modelrelated to predict electromagnetic shielding effectiveness.We have experimental data available.

Problem 2

Developing an Isothermal Testing Chamber Facility

Dr. Satish Chetwani, Research Director, ERDA
Mr. Nilesh Karkare, ERDA

ERDA (Electrical Research & Development Association) is one of the most modern centers for Research & Development, Certification & Calibration of electrical products. It was established in 1974 in Vadodara at Makarpura Industrial Estate. It is a co-operative research institution created by the Indian Electrical Industry and utilities with the support of Government of India & Gujarat. It is a not-for-profit sector co-operative organization. It has country’s largest online Emphasis.

ERDA is credited recognized as ISO-17025 certified laboratory. It equipped with the advance infrastructure to meet National and International standards. It has 5000 domestic as well as international customers every year. ERDA operates premium laboratory for switch gears and control gears. Its laboratory has country’s largest IP Test facility. ERDA has also three laboratory sites across India, ERDA(North) at Gurgaon, ERDA(West) at Rabale, and ERDA(South) at Rajamundry to serve the customers across various geographical locations of India.

ERDA’s R&D division has developed, improved, and commercialized several award-winning Technologies like On-line Fault Sensor, DCMCB, Fault Current-meter, LED based manual rechargeable Lamp & new Polymeric material for wiring accessories with a respectable IPR portfolio.

Description of the Problem:

Recently, ERDA working on project related to a Heat Chamber. There are several Heat Chambers available in commercial market but the Chamber on which ERDA is working has a curious requirement. A Dubai based company, requires continuous testing of certain specimen in the Test Chamber at their plant located at Dubai. Since the ambient temperature in the Gulf region is high the testing facility is recommended to be designed at an ambient temperature of 55°C. The testing cycle of a particular specimen is likely to last for around 12 hours. Therefore,ERDA which is working on this problem is based in India and is required to develop a Test Chamber facility with an average ambient Test Chamber temperature of 55 °C.

Therefore, it is essential for ERDA that the Test Chamber should be developed and have a temperature of 55 °Cthat will operate for 12 hours of operating cycle without deformation of any part of Chamber and with proper functioning of its accessories. The other requirement of the Test Chamber is as per following features and it must fulfill following requirements:

1. No exchange of air entering or leaving the Test Chamber is allowed. That is the Test Chamber is like an air tight furnace arrangement.
2. The Test Chamber should be collapsible and self-supported.
3. Temperature inside the chamber may be maintained by auxiliary heating arrangement. A suitable control panel must be designed with protection system for individual control of the heating arrangements.
4. Warranty period of this Chamber should be of 1 year.

Accessories and Requirement of the chamber:

1. Width- 7.0 m
2. Depth – 5.5 m
3. Height – 5.0 m

Temperature Range:

1. Ambient temp. inside the chamber should be up to +55°C.
2. No temperature difference within the chamber of more than 2°C.
3. Uniformity of the temperature inside the chamber shall be measured and verified by 9-pointmeasurement method using thermocouple.

Heating System:

1. Stainless steel finned type heaters shall be used to achieve the temperature.
2. Positioning of the heater shall be such that there is no direct radiation from the heater on the test specimen.
3. Possible heating from the test specimen can be up to a maximum of 5 kW.

Refrigeration System:

The refrigeration system shall be provided near the room with suitable ducting etc. high capacity hermetic compressor on anti-vibration pad using eco-friendly non CFC refrigerant shall be used. Suitable heat exchanger with suitable coaxial fans shall be used for cooling.

Air Circulation:

The refrigerator compartment shall be separate from the chamber. A separate conditioning chamber shall have the cooling coil (Heat exchanger) and the heater system.The Air in the chamber shall be recirculated after conditioning. The air delivery shall be restricted to a maximumvelocity of 5 m/Sec around the test specimen.

Present set-up:

Although there are several restriction and requirements for the Chamber but the major limitation that is experienced by ERDA in the present Test Chamber facility is to maintain the temperature uniformity surrounding the computing equipment (referred to as the ambient temperature) in the Chamber. The present heaters can heat the air but it failed to maintained the uniformity in the Test Chamber. That is when measured by 9-point temperature measurement the variation in temperature is higher than specified in the specifications. The option of using force circulation of the air inside the Test Chamber need to be explore so that the issue of temperature variation inside the chamber can be resolved.

Problem Statement:

Achieving the problem of temperature uniformity by using forced convection condition for the air inside the Test Chamber at minimum operating cost. This may include selection of right fan and its correct location so that uniform air circulation is achieved and therefore the uniform temperature condition be maintained inside the Test Chamber.

Problem 1

Autonomous Learning to Generate Positive Security Models for Web Applications

Bhaumik Merchant
Co-Founder, Forenzy Networks
bhaumikm@forenzy.net
W: https://forenzy.net
M: +91-9825225019

In today’s world, Millions of websites are being targeted everyday by Cyber Criminals with the motive to get the Social or Financial benefits out of it. Data Exfiltration has become biggest issue in the world of Cyber Security. It is very important for us being a Cyber Security company to understand and differentiate between “GOOD” and “BAD” Cyber Traffic. In nutshell, when Cyber Criminals tries to Exfiltrate data out of the websites they target, they use specific grammar strings as an attempt to compromise/deface the websites. it is next to impossible to perform sampling of billions of web-request with Human intelligence and identify how “GOOD” traffic looks (used by legitimate users) like and how “BAD” traffic looks like (used by Cyber Criminals).

The only possible way to produce set of “GOOD” and “BAD” traffic (grammar strings) is to develop mathematical models through Autonomous Learning and forecasting. When we say “Positive Security Model”, it is a set of grammar produced by learning habits of “GOOD” user’s behaviour and always allowed to pass through over the website, rest all will be considered as “BAD” traffic and blocked. On the other side, the biggest problem with Autonomous Learning is introduction of False Positives which have to be addressed in a smarter way by using Anomaly Scoring mechanism to avoid catastrophes.

We can split the problem into two separate Tasks.

• In first Task, we can work on generating raw character patterns (raw datasets)
• In Second Task, we can construct Regular Expressions (REGEX) from the first Task derived patterns with appropriate string formation.

International Coordinator, ICCR
Nodal Officer (Faculty of Performing Arts)

Assistant Professor, Syndicate Member
Diploma in Vocal Music with Durgatai Karnik award in 1985
Bachelor of Performing Arts with Gold Medals in 1987
Master of Performing Arts with Gold Medals in 1989,
UGC-NET, Ph.D.
Experience: 14 Years at University level and 15 years as a freelancer.

He holds an excellent record as an artist and an academician. He has widely travelled in many countries including the USA, UK, Europe, Caribbeans, Africa, and Asia, for the promotion of Indian arts and culture.

Areas of Interest: Performance, Innovative teaching, Performing Arts Management, Social work through Music, Music workshops at the national and international level, Research and documentation of rare Ragas and compositions, Experimental music, compositions, Art and administration

Email: rajeshgkelkar@gmail.com
M: +919924260175

Nodal Officer (Baroda Sanskrit Mahavidyalaya)
M: +919924573029

Assistant Professor
Acharya, MA, M.PHIL, D.Litt,
Experience: 11 Years
Areas of Interest: Rigveda, Yajurveda, Samveda, Atharvaveda, Jyotish, Nirukta, Purana, Sahitya, Vedic and Sanskrit Literature etc.
Email: shastri.kapildev-bsm@msubaroda.ac.in

Nodal Officer  (Faculty of Science)
M: +919428691041

Asst. Professor
M S University of Baroda

Nodal Officer (Faculty of Journalism and Communication)
M: +918000038789

Assistant Professor
Ph.D., Thesis on Value Based Education, Master of Communication Studies, Bachelor of Arts (Political Science)
Experience: 6 years in Academics, and 3 years as Content Writer in New Media
Areas of Interest: Communication Theory and Models, Media Law and Policy, Communication Research
Email: maitra.pratibha-jc@msubaroda.ac.in

Nodal Officer (Polytechnic)
M: +919825815997

Lecturer (Applied Mechanics)
B.E. (Civil), M.E., Ph.D (pursuing)
Experience: Teaching 13 years Industry 4.5 years
Area of interest: earthquake engineering, geotechnical
Paper published 05, Paper presented 03.
Email: doshi.dipali-polyappmech@msubaroda.ac.in

Nodal Officer (Faculty of Law)
M: +919428167804

Assistant Professor
Master of Law
Experience: Teaching – 7 Years
Areas of Interest: Business Law; EXIM, Tax Laws, The Constitution of India
Email: krshiv2006desai@gmail.com

Nodal Officer (Faculty of Fine Arts)
M: +919898351788

Assistant Professor
Masters of Fine Arts, Sculpture, Bachelors of Fine Arts, Sculpture, Diploma in Industrial Ceramic Design,
UGC-NET Examination Qualified.
Experience: Worked as a Visiting Lecturer at the Faculty of Fine Arts, MSU, Baroda, for Pottery, Ceramics and Sculpture. December 15th 2002, April 30th 2003. Worked at Pidilite Industries Limited, Mumbai, as a Product Specialist, Consumer Products Art Material. Jan. 2004 to May 2004 Worked at Ceramic Studio – ‘MUD, SWEAT & TEARS’ at New York, USA as a studio potter. July 2004 to October 2004. Conducted and Assisted Design Workshop as a Ceramic Designer, at KPMA (Khurja Potters Manufacturers Association), Organized by NID Delhi cell, IHC and CGCRI Khurja. It was sponsored by DC Handicraft to give design inputs to the artist of various ceramic industries at Khurja.

Email: rutvijmistry@gmail.com

Nodal Officer (Faculty of Commerce)
M: +919427838363

Assistant Professor
M.A., Ph.D.
Experience: Teaching: One year 11 months and Research: 14 years
Areas of Interest: Communication Skills, ELT, Postcolonial Literature, Cultural Studies, Orality
Email: anshusurvemsu@gmail.com

Nodal Officer (Faculty of Arts)
M:+919714517101

Assistant Professor, Head & Dean of Students
Ph.D.in Sanskrit, M.P.A. (Vocal Music),
UGC-NET 1999 (Sanskrit)
Experience: 21 Years Teaching and Research
Areas of Interest: Vedantashastra, Vedic, Classical & Modern Sanskrit Literature, Manuscriptology and Indian Classical Music.
Email: shweta.jejurkar-spp@msubaroda.ac.in

Nodal Officer (M. K. Amin Arts and Science College and College of Commerce)
M:+919727076465

Assistant Professor (CES) Zoology
Ph.D. in Zoology Faculty of Science, MSU.
Research areas: Animal Taxonomy and Biodiversity, Ecology and Environment of Aquatic Ecosystems.

Email: khushali.pandya-zoo@msubaroda.ac.in

Nodal Officer (Faculty of Education and Psychology)
M:+919925270529

M.Sc., M.Ed., M.Phil., Ph.D. (Education), Post Graduate Diploma in Higher Education (PGDHE), Post Graduate Diploma in Distance Education (PGDDE), Diploma in Performing Arts (DPA-Vocal)
Designation: Professor Department of Education
Experience: 30 Years (Teaching), including 20 Years (Research work)
Areas of Specialization:  Teacher Education, Value Education, Life Skills Education, Research Methodology, Teaching of Mathematics, Principles and Techniques of Teaching
No. of the Book Published: 01 [ Life Skills Oriented Teacher Education with ISBN: 978-93-5288-295-3]
Research Projects and consultancy: 04 State level Research Projects completed
No. of Papers Presented in International & National Seminars/Conferences: 07 & 28
No. of Published Research Papers / Articles in Journals / Edited Volumes:   41
Academic contribution in the total number of National Regional / State level Seminars / Conferences / workshops / Training Programmes: 112

E-mail: pathak.satish-edu@msubaroda.ac.in

Nodal Officer (Faculty of Technology and Engineering)
 M: +919974568591

Assistant Professor (Stage 3)/Applied Physics
PostDoc: BOYSCAST Fellow (DST, New Delhi/UT, Austin, Texas, USA)
M.Sc., Ph.D.
Work Experience: 20 Years of Experience
Email: nkacharya-apphy@msubaroda.ac.in

Nodal Officer (Faculty of Medicine)
M: +919879592198

MBBS, DCP, Masters in Biochemistry
PG in QM, Principal Assessor NABH, Principal Assessor Kayakalp, Principal Assessor NQAS, Assessor NABL
Regional trainer for MET

Email: margeyi@hotmail.com

Nodal Officer (Faculty of Family and Community Sciences)
M: +919726859750

Associate Professor
Teaching Exp – 22 years
Coordinating Master Programme and Rural Extension Programme at Departmental Level
Email: maniar.avani-extcomm@msubaroda.ac.in

Foreign Student Advisor

Dr. K. Krishnan is a Professor in the Department of Archaeology and Ancient History and also the Dean, Faculty of Arts at the Maharaja Sayajirao University of Baroda. His areas of research include Artifact Analysis and Interpretation using the traditional archaeological methods as well as methods from material sciences to seek answers or explanations to cultural processes such as exchange, trade, migration, etc., Ceramic Petrology, Ancient Technology, Environmental Archaeology, Harappan Studies, Origin and Development of Urbanism in South Asia and Intangible Heritage. His research has enabled him to work towards developing a methodology for analyzing fine wares, understanding craft specialization, assessing the development of technology and its impact on ancient South Asian Society. These studies have inspired several students from South Asia, Europe and America to conduct research on South Asian Ceramics. In addition to this, he has worked towards appreciating and reconstructing palaeo-climate in central and western India. He has published three books (one edited), more than 60 research articles. He has carried out his research work in collaboration with researchers from various institutions in India, UK, USA, Sri Lanka, Pakistan, Oman, Nepal, Bangladesh, Belgium, France, and Australia.

Foreign Student Advisor – Office of International Affairs:
krishnan.msu@gmail.com
M: +919427015168

Director

Prof. (Dr.) Dhanesh Patel is a Full-time Professor of Applied Mathematics at the Faculty of Technology and Engineering. He was DAAD Fellow (Germany) during 1999-2001. He worked as the Head, Department of Applied Mathematics and Director Computer Centre, The M.S. University of Baroda. He has also served as Deputy Director of M. Sc. (Bioinformatics), M.Sc. (Financial Mathematics), PG Diploma in Scientific Computing And Industrial Mathematics, PG Diploma in Computer Applications Programme. He also served as a Vice-Dean, Faculty of Technology and Engineering and I/C Dean Faculty of Technology and Engineering. He was also Director, Centre for Industrial Mathematics. He visited several countries which include USA, UK, Europe, Africa and Asian nations. Apart from research and teaching, he is very much interested in International relation and International academic collaboration. As the Director of International Affairs, he facilitates and implements the University’s mission of global engagement and efforts to further enhance the international visibility and its recognition as a major international educational and research centre.

Director – Office of International Affairs:
director-oia@msubaroda.ac.in
M: +91-9879335246

Vice-Chancellor

Professor Parimal H. Vyas is the Vice-Chancellor of The Maharaja Sayajirao University of Baroda [MSU] Gujarat w.e.f. 11^th February 2016. Earlier, Professor Vyas served as Acting Vice-Chancellor, and the Pro Vice-Chancellor, MSU (w. e. f. 29^th December 2014 till 11^th February 2016). He is the First Dual Professor appointed as Professor of Management Studies [2014], Faculty of Management Studies, and also Professor of Commerce and Business Management, Faculty of Commerce at MSU, Baroda. He has also served as Dean, Faculty of Commerce and Head of Department of Commerce & Business Management, Faculty of Commerce, MSU, Baroda. He has also been a Syndicate & Senate Member of the MSU Baroda. Presently, Professor Vyas is also Chairman of Syndicate & Senate of MSU of Baroda. Professor Vyas is an Alumnus of the Indian Institute of Management, Ahmedabad (IIMA). Professor Vyas has obtained a Ph.D. in Commerce from Sardar Patel University, Vallabh Vidyanagar & Master’s Degree in Management from MSU, Baroda. Professor Vyas has a total teaching and research experience of more than 30 years.

Vice-Chancellor, The Maharaja Sayajirao University of Baroda
vc@msubaroda.ac.in

Please note the following:

[A] Please remember that there will be no Entrance Test for International students to get admission into Certificate, Diploma, Undergraduate, Post Graduate, PG Diploma, Ph.D…

[B] There are some courses whose admissions are given by the Admission Committee for Professional Courses (ACPC), Govt. of Gujarat (http://www.jacpcldce.ac.in/index.asp) and hence it cannot be handled at the university level. The details of the respective faculties and Courses are as follows:

1. Faculty of Technology and Engineering:
   • B.E.( Bachelor of Engineering)(Civil, WREMI, Mechanical, Electrical, Chemical, Electronics, Computer Science, Metallurgy, Textile Engineering, Textile Processing, Textile Technology, )
   • M.E.( Master of Engineering )(All Branches)
   • MCA
   • DTC,DTT

2. Faculty of Pharmacy
   • Pharm
   • Pharm(All Branches)

3. Faculty of Management studies
   • B.A.(Master of Business Administration)

However, the Master courses and Post Graduate Diploma courses run by the Department of Applied Mathematics, Applied Physics, Applied Chemistry, Metallurgy dept(ONLY ME in Welding Technology) are done at the university level.

In a similar pattern, there are some courses whose admissions are given by Admission Committee For Professional Diploma Courses, Govt. of Gujarat http://www.acpdc.in/ and hence it cannot be handled at the university level. The details of the respective faculty and Courses are as follows:

4. Polytechnic
   • Diploma in Civil, Mechanical, Electrical, Petrochemical, IT (After 10^th Grade)

In a similar pattern, there are some courses whose admissions are given by the Admission Committee for Professional Under Graduate Medical Courses (ACPUGMEC), Govt. of Gujarat    http://www.medadmgujarat.org/  and hence it cannot be handled at the university level. The details of the respective faculty and Courses are as follows:

5. Faculty of Medicine
   • MBBS (Medicine and Bachelor of Surgery)
   • BDS (Bachelor of Dental Surgery)
   • Bachelor of Physiotherapy
   • All Master Courses